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S'Error. Traceback (most recent call last):\n  File "/plone/buildout-cache/eggs/Products.ZSPARQLMethod-2.3-py2.7.egg/Products/ZSPARQLMethod/Method.py", line 287, in run_with_timeout\n    ret = func(*args, **kwargs)\n  File "/plone/buildout-cache/eggs/Products.ZSPARQLMethod-2.3-py2.7.egg/Products/ZSPARQLMethod/Method.py", line 215, in query_and_get_result\n    result = sparql.query(*args, timeout = kwargs.get("timeout", 0) or 0)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 747, in query\n    return s.query(query, timeout, raw=raw)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 416, in query\n    return q.query(query, timeout, raw=raw)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 571, in query\n    response = self._request(statement, timeout)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 558, in _request\n    response = self._build_response(query, opener, buf, timeout)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 543, in _build_response\n    timeout if timeout > 0 else None)\n  File "/plone/buildout-cache/eggs/sparql_client-3.8-py2.7.egg/sparql.py", line 514, in _get_response\n    response = opener.open(request, timeout=timeout)\n  File "/usr/local/lib/python2.7/urllib2.py", line 435, in open\n    response = meth(req, response)\n  File "/usr/local/lib/python2.7/urllib2.py", line 548, in http_response\n    \'http\', request, response, code, msg, hdrs)\n  File "/usr/local/lib/python2.7/urllib2.py", line 473, in error\n    return self._call_chain(*args)\n  File "/usr/local/lib/python2.7/urllib2.py", line 407, in _call_chain\n    result = func(*args)\n  File "/usr/local/lib/python2.7/urllib2.py", line 556, in http_error_default\n    raise HTTPError(req.get_full_url(), code, msg, hdrs, fp)\nHTTPError: HTTP Error 308: Permanent Redirect\n'
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VEIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units
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VWISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.2, Sep. 2018
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. \u000a\u000aThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\u000aFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive".\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\u000aAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\u000aLake: Body of standing inland surface water.\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f12aad33-8ef0-4b05-8fc1-04ec34690714.png
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V2019-06-04
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Vaquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management
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Vvector
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VSHP|Spatialite
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000acYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\u000acountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\u000alat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000alon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000astatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\u000astatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\u000aremarks:Additional information about the status code of the superseding object, if any.\u000aqcCheck:Additional information about checks performed in the data.\u000a\u000a2) Data sources\u000a\u000aInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\u000a\u000aAdditional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\u000a\u000aFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \u000a\u000a3) Data processing\u000a\u000aThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \u000a\u000aFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\u000a\u000aThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.2, Sep. 2018
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aFor the relevant concepts please consult the metadata of the relevant child datasets.
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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p182
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.
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p188
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VEuropean Environment Agency
p191
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VFALSE
p194
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V
sbg8
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V
sbg8
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p204
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Veea_v_4326_250_k_wise-wfd2010_p_2010-2018_v01_r02
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g13
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V03a69768-78ef-4d6b-afac-a5e323365101
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g13
Nsg14
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VCDDA
p217
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(dp219
g13
Nsg14
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VNationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018
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p223
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g13
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VThe European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\u000a\u000aThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.\u000a\u000aTwo versions of the dataset are provided. The "CDDA_2018_v01_public_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset ("CDDA_2018_v01_public") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats.
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sbNNg8
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g10
NtRp227
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g13
Nsg14
Nsg15
VFALSE
p229
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NtRp230
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g13
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Nsg15
VFALSE
p232
sbNNg8
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g13
Nsg14
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VFALSE
p235
sbNNg8
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g13
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VFALSE
p238
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VEPSG:3035
p244
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(g9
g10
NtRp245
(dp246
g13
Nsg14
Nsg15
V2019-06-14
p247
sbNg8
(g9
g10
NtRp248
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g13
Nsg14
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VProtected sites
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(g9
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NtRp251
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Vnatural area|natural areas protection|protected area
p253
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NtRp254
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g13
Nsg14
Nsg15
Vvector
p256
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NtRp257
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g13
Nsg14
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VGeopackage|PGeo
p259
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(g9
g10
NtRp260
(dp261
g13
Nsg14
Nsg15
V1:100000
p262
sbNg8
(g9
g10
NtRp263
(dp264
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_v16_2018.pdf available together with the data set.
p265
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g10
NtRp266
(dp267
g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/03a69768-78ef-4d6b-afac-a5e323365101
p268
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g74
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V2017
p271
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g13
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V2018
p274
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g10
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g13
Nsg14
Nsg15
VTRUE
p277
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g10
NtRp278
(dp279
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Nsg14
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VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia
p280
sbg8
(g9
g10
NtRp281
(dp282
g13
Nsg14
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p283
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(g9
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NtRp284
(dp285
g13
Nsg14
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VFALSE
p286
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(g9
g10
NtRp287
(dp288
g13
Nsg14
Nsg15
VEuropean Environment Agency
p289
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(g9
g10
NtRp290
(dp291
g13
Nsg14
Nsg15
VFALSE
p292
sbNNNNNNNg8
(g9
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NtRp293
(dp294
g13
Nsg14
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V
sbg8
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(dp296
g13
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V
sbg8
(g9
g10
NtRp297
(dp298
g13
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VBiodiversity
p299
sbg8
(g23
g10
NtRp300
(dp301
g15
Vhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv16_Dyna_WM/MapServer
p302
sbg8
(g9
g10
NtRp303
(dp304
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly_p_2017-2018_v16_r00
p305
sbNg8
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g10
NtRp306
(dp307
g13
Nsg14
Nsg15
Vsuperseded
p308
sbtp309
a(g8
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g10
NtRp310
(dp311
g13
Nsg14
Nsg15
Vc6d98fda-796e-40c0-b953-d716a8db1df5
p312
sbg8
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g10
NtRp313
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g13
Nsg14
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VCDDA
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sbg8
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g10
NtRp316
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g13
Nsg14
Nsg15
VCDDA polygons for public access - version 15, Sept. 2017
p318
sbNNg8
(g23
g10
NtRp319
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g15
Vhttp://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
p321
sbNNg8
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g10
NtRp322
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g13
Nsg14
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VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".
p324
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(g9
g10
NtRp325
(dp326
g13
Nsg14
Nsg15
VFALSE
p327
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(g9
g10
NtRp328
(dp329
g13
Nsg14
Nsg15
VFALSE
p330
sbNNg8
(g9
g10
NtRp331
(dp332
g13
Nsg14
Nsg15
VFALSE
p333
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(g9
g10
NtRp334
(dp335
g13
Nsg14
Nsg15
VFALSE
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g10
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(dp338
g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6d98fda-796e-40c0-b953-d716a8db1df5.png
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g13
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VEPSG:3035
p342
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NtRp343
(dp344
g13
Nsg14
Nsg15
V2019-06-04
p345
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g10
NtRp346
(dp347
g13
Nsg14
Nsg15
VProtected sites
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g10
NtRp349
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Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
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Nsg14
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Vvector
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VSHP|SQLite
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V1:100000
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NtRp361
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g13
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VProduction process is explained in the document CDDA_version_15.pdf available together with the data set.
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g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6d98fda-796e-40c0-b953-d716a8db1df5
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g74
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V2016
p369
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V2017
p372
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g13
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VTRUE
p375
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VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia
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g10
NtRp379
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g13
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".
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VFALSE
p384
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(g9
g10
NtRp385
(dp386
g13
Nsg14
Nsg15
VEuropean Environment Agency
p387
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(g9
g10
NtRp388
(dp389
g13
Nsg14
Nsg15
VFALSE
p390
sbNNNNNNNg8
(g9
g10
NtRp391
(dp392
g13
Nsg14
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V
sbg8
(g9
g10
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(dp394
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp395
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Nsg15
VBiodiversity
p397
sbg8
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g10
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g15
Vhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer
p400
sbg8
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g10
NtRp401
(dp402
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2017_rev15-0
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g10
NtRp404
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g13
Nsg14
Nsg15
Vsuperseded
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sbtp407
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Vc6faa0c9-c6e2-4a01-8676-c516dcb8f209
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g10
NtRp411
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g13
Nsg14
Nsg15
VMarine_subregions
p413
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g10
NtRp414
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g13
Nsg14
Nsg15
VMSFD (Article 4) marine subregions - version 1, February 2017
p416
sbNNg8
(g23
g10
NtRp417
(dp418
g15
Vhttp://marine.discomap.eea.europa.eu/arcgis/services/Marine/Marine_regions_subregions_v1/MapServer/WMSServer?request=GetCapabilities&service=WMS
p419
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NtRp420
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g13
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Nsg15
VIn the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each:\u000a\u000aNorth-east Atlantic Ocean:\u000ao	The Greater North Sea, including the Kattegat and the English Channel\u000ao	The Celtic Seas\u000ao	The Bay of Biscay and the Iberian Coast\u000ao	Macaronesia\u000a\u000aMediterranean Sea:\u000ao	The Western Mediterranean Sea\u000ao	The Adriatic Sea\u000ao	The Ionian Sea and the Central Mediterranean Sea\u000ao	The Aegean-Levantine Sea\u000a\u000aThe present layer provides the spatial extent of these subregions, as agreed by the MSFD Committee in November 2016.
p422
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g10
NtRp423
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g15
Vhttps://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions
p425
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(g9
g10
NtRp426
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g13
Nsg14
Nsg15
VFALSE
p428
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g10
NtRp429
(dp430
g13
Nsg14
Nsg15
VFALSE
p431
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(g9
g10
NtRp432
(dp433
g13
Nsg14
Nsg15
VFALSE
p434
sbNNg8
(g9
g10
NtRp435
(dp436
g13
Nsg14
Nsg15
VFALSE
p437
sbNg8
(g9
g10
NtRp438
(dp439
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6faa0c9-c6e2-4a01-8676-c516dcb8f209.png
p440
sbNg8
(g9
g10
NtRp441
(dp442
g13
Nsg14
Nsg15
V2019-06-04
p443
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g10
NtRp444
(dp445
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Sea regions
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Nsg14
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Vmarine environment|sea
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g13
Nsg14
Nsg15
Vvector
p452
sbg8
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g10
NtRp453
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g13
Nsg14
Nsg15
VSHP
p455
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g10
NtRp456
(dp457
g13
Nsg14
Nsg15
V1:100000
p458
sbNg8
(g9
g10
NtRp459
(dp460
g13
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VThe delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\u000aThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d  available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\u000a\u000aThe layer should be used on the following basis:\u000aa. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\u000ab. It provides the boundaries of the marine subregions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine subregions. The marine subregions layer is meant to depict the marine subregions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine subregion, in accordance with MSFD Article 2(1).\u000ac. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\u000ad. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.".\u000ae. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\u000af. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, this MSFD layer should be updated.\u000ag. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the marine subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\u000a\u000aFinally, the following notes are relevant for the understanding of the layer:\u000a- The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\u000a-The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\u000a\u000aThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions
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VIn the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.
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VThe delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\u000aThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d  available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\u000a\u000aThe layer should be used on the following basis:\u000aa. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\u000ab. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1).\u000ac. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\u000ad. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.".\u000ae. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\u000af. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\u000a\u000aFinally, the following note is relevant for the understanding of the layer:\u000a-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\u000a\u000aThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions-1
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a\u000aThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\u000a\u000aThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\u000a\u000aThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\u000a\u000aAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\u000a\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a\u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\u000a\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.
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VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
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Vhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EUNIS_Website_Dyna_WM/MapServer
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Veea_v_3035_100_k_natura2000_2016
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VWFD_2016
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VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.2, Sep. 2018
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aFor the relevant concepts please consult the metadata of the relevant child datasets.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5.png
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VEPSG:4326
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V2019-06-04
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VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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Vvector
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VSHP|Spatialite
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5
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V2016
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V2018
p755
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VTRUE
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VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.
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VEuropean Environment Agency
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VWater
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer
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Veea_v_4326_250_k_wise-wfd2016_p_2016-2018_v01_r02
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VEcosystem_types
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VEcosystem types of Europe based on EUNIS level 2 (raster 100m) - version 2.1, Dec. 2015
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Vhttp://bio.discomap.eea.europa.eu/arcgis/services/MAES/MAES_ecosystem_type_maps_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 2) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\u000a\u000aThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\u000a\u000aThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\u000a\u000aThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely  the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.
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Vhttps://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe
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VFALSE
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VFALSE
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VFALSE
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa.png
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V2019-06-04
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VHabitats and biotopes|Land cover
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Vgrid
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VGTiff
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V100m
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VThe data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\u000aThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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Vhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/MAES/MAES_ecosystem_type_maps_WM/MapServer
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VNatura2000_2017
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VNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a\u000aThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\u000a\u000aThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\u000a\u000aThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\u000a\u000aAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\u000a\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a\u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\u000a\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.
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VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
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VAccess to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\u000aThe following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry.\u000a\u000aAccess and use of the data is made on the conditions that:\u000a1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information.\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.
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VThe dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.
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VThe dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. \u000a\u000aThis data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. \u000aPlease search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\u000aFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive".\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\u000aAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\u000aLake: Body of standing inland surface water.\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000acYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\u000acountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\u000alat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000alon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000astatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\u000astatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\u000aremarks:Additional information about the status code of the superseding object, if any.\u000aqcCheck:Additional information about checks performed in the data.\u000a\u000a2) Data sources\u000a\u000aInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\u000a\u000aAdditional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\u000a\u000aFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \u000a\u000a3) Data processing\u000a\u000aThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \u000a\u000aFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\u000a\u000aThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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VThe dataset contains parts which are restricted by the data providers and not to be made public.
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VThe dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts: \u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000aLake: Body of standing inland surface water. \u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.
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VArea management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. 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Vc6729b06-f4c5-414a-86ce-bf1bda306ff4
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VWFD_River_Basin_Districts_2010
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VWISE WFD river basin districts reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017
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VThe dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000aThis dataset updates the information published in "WISE River basin districts (RBD) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) \u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.
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VEPSG:4326
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V2019-06-04
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VArea management/restriction/regulation zones and reporting units|River Basin
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Vriver basin|river basin management|water resources management
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Vvector
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VSHP|Spatialite
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6729b06-f4c5-414a-86ce-bf1bda306ff4
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V2010
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V2017
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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Veea_v_4326_250_k_wise-river-basin-districts-wfd2010-internal_20100319-20170629_rev1
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Va09e401d-307f-41d6-8324-85ca6de13b00
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VWFD_Ground_Water_Body_2010
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VWISE WFD groundwater bodies reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017
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VThe dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000aThis dataset updates the information published in "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) \u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.
p1449
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p1452
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VFALSE
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Nsg15
VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a09e401d-307f-41d6-8324-85ca6de13b00.png
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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VFALSE
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VThe dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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VThe dataset contains information on the European river basin district sub-units delineated  for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aThis dataset updates the information published in "WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf).\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. 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VThe dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000aLake: Body of standing inland surface water. \u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f46fd608-98f5-4d2c-aac6-3316105f2c8b.png
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VArea management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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Vmonitoring station|surface water|water (geographic)|water body|water resources management
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Vvector
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f46fd608-98f5-4d2c-aac6-3316105f2c8b
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g13
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VEU28|Norway
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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p1791
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VWater
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V68bc857c-4710-423c-977a-3f6d58d7c021
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VWFD_Ground_Water_Body_2016
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VWISE WFD groundwater bodies reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017
p1814
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VThe dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.
p1817
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p1820
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Nsg15
V2019-06-04
p1838
sbNg8
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g13
Nsg14
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VArea management/restriction/regulation zones and reporting units|WFD Ground Water Body
p1841
sbg8
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NtRp1842
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g13
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g13
Nsg14
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Vvector
p1847
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VSHP|Spatialite
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68bc857c-4710-423c-977a-3f6d58d7c021
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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VWISE_monitoring_sites_16
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VThe dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). \u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts:\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\u000aSurface water body:  Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.
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VSHP|Spatialite
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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g13
Nsg14
Nsg15
VEU28|Norway
p1963
sbg8
(g9
g10
NtRp1964
(dp1965
g13
Nsg14
Nsg15
VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p1966
sbg8
(g9
g10
NtRp1967
(dp1968
g13
Nsg14
Nsg15
VFALSE
p1969
sbg8
(g9
g10
NtRp1970
(dp1971
g13
Nsg14
Nsg15
VEuropean Environment Agency
p1972
sbg8
(g9
g10
NtRp1973
(dp1974
g13
Nsg14
Nsg15
VFALSE
p1975
sbNNNNNNNg8
(g9
g10
NtRp1976
(dp1977
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp1978
(dp1979
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp1980
(dp1981
g13
Nsg14
Nsg15
VWater
p1982
sbNg8
(g9
g10
NtRp1983
(dp1984
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-monitoring-sites-wfd2016-internal_20160505-20170629_rev1
p1985
sbNg8
(g9
g10
NtRp1986
(dp1987
g13
Nsg14
Nsg15
Vsuperseded
p1988
sbtp1989
a(g8
(g9
g10
NtRp1990
(dp1991
g13
Nsg14
Nsg15
Ve74c9c01-1196-4617-86d6-3aec385927e7
p1992
sbg8
(g9
g10
NtRp1993
(dp1994
g13
Nsg14
Nsg15
VWISE_monitoring_sites_10
p1995
sbg8
(g9
g10
NtRp1996
(dp1997
g13
Nsg14
Nsg15
VWISE WFD monitoring sites reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017
p1998
sbNNNNNg8
(g9
g10
NtRp1999
(dp2000
g13
Nsg14
Nsg15
VThe dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). \u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts:\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\u000aSurface water body:  Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.
p2001
sbNNg8
(g9
g10
NtRp2002
(dp2003
g13
Nsg14
Nsg15
VFALSE
p2004
sbNNNg8
(g9
g10
NtRp2005
(dp2006
g13
Nsg14
Nsg15
VFALSE
p2007
sbNNg8
(g9
g10
NtRp2008
(dp2009
g13
Nsg14
Nsg15
VFALSE
p2010
sbNNg8
(g9
g10
NtRp2011
(dp2012
g13
Nsg14
Nsg15
VFALSE
p2013
sbNg8
(g9
g10
NtRp2014
(dp2015
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e74c9c01-1196-4617-86d6-3aec385927e7.png
p2016
sbg8
(g9
g10
NtRp2017
(dp2018
g13
Nsg14
Nsg15
VEPSG:4326
p2019
sbg8
(g9
g10
NtRp2020
(dp2021
g13
Nsg14
Nsg15
V2019-06-04
p2022
sbNg8
(g9
g10
NtRp2023
(dp2024
g13
Nsg14
Nsg15
VEnvironmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body
p2025
sbg8
(g9
g10
NtRp2026
(dp2027
g13
Nsg14
Nsg15
Vgroundwater|monitoring station|surface water|water resources management
p2028
sbg8
(g9
g10
NtRp2029
(dp2030
g13
Nsg14
Nsg15
Vvector
p2031
sbg8
(g9
g10
NtRp2032
(dp2033
g13
Nsg14
Nsg15
VSHP|Spatialite
p2034
sbNg8
(g9
g10
NtRp2035
(dp2036
g13
Nsg14
Nsg15
V1:250000
p2037
sbNg8
(g9
g10
NtRp2038
(dp2039
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p2040
sbg8
(g9
g10
NtRp2041
(dp2042
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e74c9c01-1196-4617-86d6-3aec385927e7
p2043
sbg8
(g9
g10
NtRp2044
(dp2045
g13
Nsg14
g74
sg15
V2010
p2046
sbg8
(g9
g10
NtRp2047
(dp2048
g13
Nsg14
g74
sg15
V2017
p2049
sbg8
(g9
g10
NtRp2050
(dp2051
g13
Nsg14
Nsg15
VTRUE
p2052
sbg8
(g9
g10
NtRp2053
(dp2054
g13
Nsg14
Nsg15
VEU28|Norway
p2055
sbg8
(g9
g10
NtRp2056
(dp2057
g13
Nsg14
Nsg15
VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p2058
sbg8
(g9
g10
NtRp2059
(dp2060
g13
Nsg14
Nsg15
VFALSE
p2061
sbg8
(g9
g10
NtRp2062
(dp2063
g13
Nsg14
Nsg15
VEuropean Environment Agency
p2064
sbg8
(g9
g10
NtRp2065
(dp2066
g13
Nsg14
Nsg15
VFALSE
p2067
sbNNNNNNNg8
(g9
g10
NtRp2068
(dp2069
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2070
(dp2071
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2072
(dp2073
g13
Nsg14
Nsg15
VWater
p2074
sbNg8
(g9
g10
NtRp2075
(dp2076
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-monitoring-sites-wfd2010-internal_20100319-20170629_rev1
p2077
sbNg8
(g9
g10
NtRp2078
(dp2079
g13
Nsg14
Nsg15
Vsuperseded
p2080
sbtp2081
a(g8
(g9
g10
NtRp2082
(dp2083
g13
Nsg14
Nsg15
Vee1b7182-79a7-4974-a9c2-ebca2352a132
p2084
sbg8
(g9
g10
NtRp2085
(dp2086
g13
Nsg14
Nsg15
VEuroRegionalMap_2017
p2087
sbg8
(g9
g10
NtRp2088
(dp2089
g13
Nsg14
Nsg15
VEuroRegionalMap (full European coverage) - version 11.1, Dec. 2017
p2090
sbNNNNNg8
(g9
g10
NtRp2091
(dp2092
g13
Nsg14
Nsg15
VEuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \u000aThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\u000aThis metadata refers to the version 11.1 of ERM. \u000aFor more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents "ERM_v11-1_DataSpecification_EuroStat.pdf", "ERM_v11_TechnicalGuide.pdf" and "ERM(EC)_v11.1_Lineage_FullEurope.doc" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system.\u000aThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the "metadata" folder.
p2093
sbNNg8
(g9
g10
NtRp2094
(dp2095
g13
Nsg14
Nsg15
VFALSE
p2096
sbNNNg8
(g9
g10
NtRp2097
(dp2098
g13
Nsg14
Nsg15
VFALSE
p2099
sbNNg8
(g9
g10
NtRp2100
(dp2101
g13
Nsg14
Nsg15
VFALSE
p2102
sbNNg8
(g9
g10
NtRp2103
(dp2104
g13
Nsg14
Nsg15
VFALSE
p2105
sbNg8
(g9
g10
NtRp2106
(dp2107
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.png
p2108
sbNg8
(g9
g10
NtRp2109
(dp2110
g13
Nsg14
Nsg15
V2019-06-04
p2111
sbNg8
(g9
g10
NtRp2112
(dp2113
g13
Nsg14
Nsg15
VAdministrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution \u2014 demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services
p2114
sbg8
(g9
g10
NtRp2115
(dp2116
g13
Nsg14
Nsg15
Vadministrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway
p2117
sbg8
(g9
g10
NtRp2118
(dp2119
g13
Nsg14
Nsg15
Vvector
p2120
sbg8
(g9
g10
NtRp2121
(dp2122
g13
Nsg14
Nsg15
VFGeo|SHP
p2123
sbNg8
(g9
g10
NtRp2124
(dp2125
g13
Nsg14
Nsg15
V1:250000
p2126
sbNg8
(g9
g10
NtRp2127
(dp2128
g13
Nsg14
Nsg15
VFor the lineage description of the full product, please see "ERM(EC)_v11.1_Lineage_FullEurope.doc" provided with the dataset under the folder "Metadata". For detailed information on the national contribution, please consult the documents "XX_ERM(EC)_v11_Lineage.doc" (where XX is the country acronym), under the subfolder "Countries" of the folder "Metadata".
p2129
sbg8
(g9
g10
NtRp2130
(dp2131
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee1b7182-79a7-4974-a9c2-ebca2352a132
p2132
sbg8
(g9
g10
NtRp2133
(dp2134
g13
Nsg14
g74
sg15
V2017
p2135
sbg8
(g9
g10
NtRp2136
(dp2137
g13
Nsg14
g74
sg15
V2017
p2138
sbg8
(g9
g10
NtRp2139
(dp2140
g13
Nsg14
Nsg15
VFALSE
p2141
sbg8
(g9
g10
NtRp2142
(dp2143
g13
Nsg14
Nsg15
VAndorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican
p2144
sbg8
(g9
g10
NtRp2145
(dp2146
g13
Nsg14
Nsg15
VThe Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis.\u000aThe license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.
p2147
sbg8
(g9
g10
NtRp2148
(dp2149
g13
Nsg14
Nsg15
VFALSE
p2150
sbNg8
(g9
g10
NtRp2151
(dp2152
g13
Nsg14
Nsg15
VFALSE
p2153
sbNNNNNNNg8
(g9
g10
NtRp2154
(dp2155
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2156
(dp2157
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2158
(dp2159
g13
Nsg14
Nsg15
VAdministrative_boundaries
p2160
sbNg8
(g9
g10
NtRp2161
(dp2162
g13
Nsg14
Nsg15
Veurogeographics_v_4258_250_k_erm-europe_i_2017_v11_r01
p2163
sbNg8
(g9
g10
NtRp2164
(dp2165
g13
Nsg14
Nsg15
Vsuperseded
p2166
sbtp2167
a(g8
(g9
g10
NtRp2168
(dp2169
g13
Nsg14
Nsg15
V9c1dd142-7cf9-4213-950e-1083b5b02fff
p2170
sbg8
(g9
g10
NtRp2171
(dp2172
g13
Nsg14
Nsg15
VUrban_waste_water
p2173
sbg8
(g9
g10
NtRp2174
(dp2175
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Treatment plants - version 4, Dec. 2012
p2176
sbNNNNNg8
(g9
g10
NtRp2177
(dp2178
g13
Nsg14
Nsg15
VThis dataset includes data on individual waste water treatment plants and collecting systems without UWWTP, their localisation, capacity and actual load treated, type of treatment, aggregated data on the performance of plants.\u000aThe table T_UWWTP_Agglo (uwwtd_uwwtp_agglo_v4.txt) is a connection table combining data on agglomeration and waste water treatment plants aloowing repoting of situations where the ratio agglomeration:UWWTP is 1:n or m:1.
p2179
sbNNg8
(g9
g10
NtRp2180
(dp2181
g13
Nsg14
Nsg15
VFALSE
p2182
sbNNNg8
(g9
g10
NtRp2183
(dp2184
g13
Nsg14
Nsg15
VFALSE
p2185
sbNNg8
(g9
g10
NtRp2186
(dp2187
g13
Nsg14
Nsg15
VFALSE
p2188
sbNNg8
(g9
g10
NtRp2189
(dp2190
g13
Nsg14
Nsg15
VFALSE
p2191
sbNg8
(g9
g10
NtRp2192
(dp2193
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c1dd142-7cf9-4213-950e-1083b5b02fff.png
p2194
sbg8
(g9
g10
NtRp2195
(dp2196
g13
Nsg14
Nsg15
VEPSG:4326
p2197
sbg8
(g9
g10
NtRp2198
(dp2199
g13
Nsg14
Nsg15
V2019-06-04
p2200
sbNg8
(g9
g10
NtRp2201
(dp2202
g13
Nsg14
Nsg15
VProduction and industrial facilities
p2203
sbg8
(g9
g10
NtRp2204
(dp2205
g13
Nsg14
Nsg15
Vcollective wastewater treatment|waste water discharge
p2206
sbg8
(g9
g10
NtRp2207
(dp2208
g13
Nsg14
Nsg15
Vvector
p2209
sbg8
(g9
g10
NtRp2210
(dp2211
g13
Nsg14
Nsg15
VSHP
p2212
sbNg8
(g9
g10
NtRp2213
(dp2214
g13
Nsg14
Nsg15
V1:100000
p2215
sbNg8
(g9
g10
NtRp2216
(dp2217
g13
Nsg14
Nsg15
VSome records are reporting erroneous lat/long coordinates:\u000awhen features are clearly erroneous, they are removed.
p2218
sbg8
(g9
g10
NtRp2219
(dp2220
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c1dd142-7cf9-4213-950e-1083b5b02fff
p2221
sbg8
(g9
g10
NtRp2222
(dp2223
g13
Nsg14
g74
sg15
V2007
p2224
sbg8
(g9
g10
NtRp2225
(dp2226
g13
Nsg14
g74
sg15
V2011
p2227
sbg8
(g9
g10
NtRp2228
(dp2229
g13
Nsg14
Nsg15
VTRUE
p2230
sbNg8
(g9
g10
NtRp2231
(dp2232
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p2233
sbg8
(g9
g10
NtRp2234
(dp2235
g13
Nsg14
Nsg15
VFALSE
p2236
sbg8
(g9
g10
NtRp2237
(dp2238
g13
Nsg14
Nsg15
VEuropean Environment Agency
p2239
sbg8
(g9
g10
NtRp2240
(dp2241
g13
Nsg14
Nsg15
VFALSE
p2242
sbNNNNNNNg8
(g9
g10
NtRp2243
(dp2244
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2245
(dp2246
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2247
(dp2248
g13
Nsg14
Nsg15
VWater
p2249
sbNg8
(g9
g10
NtRp2250
(dp2251
g13
Nsg14
Nsg15
Veea_v_4326_100_k_uwwtd-tp_2007-2011_rev4
p2252
sbNg8
(g9
g10
NtRp2253
(dp2254
g13
Nsg14
Nsg15
Vsuperseded
p2255
sbtp2256
a(g8
(g9
g10
NtRp2257
(dp2258
g13
Nsg14
Nsg15
V902787bb-a87c-42e6-b456-b41bc16c3f06
p2259
sbNg8
(g9
g10
NtRp2260
(dp2261
g13
Nsg14
Nsg15
VCDDA polygons for public access - version 12 revision 1, Nov. 2014
p2262
sbNNg8
(g23
g10
NtRp2263
(dp2264
g15
Vhttp://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS
p2265
sbNNg8
(g9
g10
NtRp2266
(dp2267
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p2268
sbg8
(g23
g10
NtRp2269
(dp2270
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-9
p2271
sbNg8
(g9
g10
NtRp2272
(dp2273
g13
Nsg14
Nsg15
VFALSE
p2274
sbNNNg8
(g9
g10
NtRp2275
(dp2276
g13
Nsg14
Nsg15
VFALSE
p2277
sbNNg8
(g9
g10
NtRp2278
(dp2279
g13
Nsg14
Nsg15
VFALSE
p2280
sbNNg8
(g9
g10
NtRp2281
(dp2282
g13
Nsg14
Nsg15
VFALSE
p2283
sbNg8
(g9
g10
NtRp2284
(dp2285
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/902787bb-a87c-42e6-b456-b41bc16c3f06.png
p2286
sbg8
(g9
g10
NtRp2287
(dp2288
g13
Nsg14
Nsg15
VEPSG:3035
p2289
sbg8
(g9
g10
NtRp2290
(dp2291
g13
Nsg14
Nsg15
V2019-06-04
p2292
sbNg8
(g9
g10
NtRp2293
(dp2294
g13
Nsg14
Nsg15
VProtected sites
p2295
sbg8
(g9
g10
NtRp2296
(dp2297
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p2298
sbg8
(g9
g10
NtRp2299
(dp2300
g13
Nsg14
Nsg15
Vvector
p2301
sbg8
(g9
g10
NtRp2302
(dp2303
g13
Nsg14
Nsg15
VSHP|SQLite
p2304
sbNg8
(g9
g10
NtRp2305
(dp2306
g13
Nsg14
Nsg15
V1:100000
p2307
sbNg8
(g9
g10
NtRp2308
(dp2309
g13
Nsg14
Nsg15
VProduction process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.
p2310
sbg8
(g9
g10
NtRp2311
(dp2312
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902787bb-a87c-42e6-b456-b41bc16c3f06
p2313
sbg8
(g9
g10
NtRp2314
(dp2315
g13
Nsg14
g74
sg15
V2013
p2316
sbg8
(g9
g10
NtRp2317
(dp2318
g13
Nsg14
g74
sg15
V2014
p2319
sbg8
(g9
g10
NtRp2320
(dp2321
g13
Nsg14
Nsg15
VTRUE
p2322
sbg8
(g9
g10
NtRp2323
(dp2324
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia
p2325
sbg8
(g9
g10
NtRp2326
(dp2327
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p2328
sbg8
(g9
g10
NtRp2329
(dp2330
g13
Nsg14
Nsg15
VFALSE
p2331
sbg8
(g9
g10
NtRp2332
(dp2333
g13
Nsg14
Nsg15
VEuropean Environment Agency
p2334
sbg8
(g9
g10
NtRp2335
(dp2336
g13
Nsg14
Nsg15
VFALSE
p2337
sbNNNNNNNg8
(g9
g10
NtRp2338
(dp2339
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2340
(dp2341
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2342
(dp2343
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2013_rev12-1
p2344
sbNg8
(g9
g10
NtRp2345
(dp2346
g13
Nsg14
Nsg15
Vsuperseded
p2347
sbtp2348
a(g8
(g9
g10
NtRp2349
(dp2350
g13
Nsg14
Nsg15
V74421f48-e62d-411b-b01e-5466a2cb955a
p2351
sbNg8
(g9
g10
NtRp2352
(dp2353
g13
Nsg14
Nsg15
VCDDA polygons for public access - version 12, Oct. 2014
p2354
sbNNg8
(g23
g10
NtRp2355
(dp2356
g15
Vhttp://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS
p2357
sbNNg8
(g9
g10
NtRp2358
(dp2359
g13
Nsg14
Nsg15
VSome features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014.\u000a+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\u000a\u000aThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p2360
sbNNg8
(g9
g10
NtRp2361
(dp2362
g13
Nsg14
Nsg15
VFALSE
p2363
sbNNNg8
(g9
g10
NtRp2364
(dp2365
g13
Nsg14
Nsg15
VFALSE
p2366
sbNNg8
(g9
g10
NtRp2367
(dp2368
g13
Nsg14
Nsg15
VFALSE
p2369
sbNNg8
(g9
g10
NtRp2370
(dp2371
g13
Nsg14
Nsg15
VFALSE
p2372
sbNg8
(g9
g10
NtRp2373
(dp2374
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74421f48-e62d-411b-b01e-5466a2cb955a.png
p2375
sbg8
(g9
g10
NtRp2376
(dp2377
g13
Nsg14
Nsg15
VEPSG:3035
p2378
sbg8
(g9
g10
NtRp2379
(dp2380
g13
Nsg14
Nsg15
V2019-06-04
p2381
sbNg8
(g9
g10
NtRp2382
(dp2383
g13
Nsg14
Nsg15
VProtected sites
p2384
sbg8
(g9
g10
NtRp2385
(dp2386
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p2387
sbg8
(g9
g10
NtRp2388
(dp2389
g13
Nsg14
Nsg15
Vvector
p2390
sbg8
(g9
g10
NtRp2391
(dp2392
g13
Nsg14
Nsg15
VSHP|SQLite
p2393
sbNg8
(g9
g10
NtRp2394
(dp2395
g13
Nsg14
Nsg15
V1:100000
p2396
sbNg8
(g9
g10
NtRp2397
(dp2398
g13
Nsg14
Nsg15
VProduction process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.
p2399
sbg8
(g9
g10
NtRp2400
(dp2401
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74421f48-e62d-411b-b01e-5466a2cb955a
p2402
sbg8
(g9
g10
NtRp2403
(dp2404
g13
Nsg14
g74
sg15
V2013
p2405
sbg8
(g9
g10
NtRp2406
(dp2407
g13
Nsg14
g74
sg15
V2014
p2408
sbg8
(g9
g10
NtRp2409
(dp2410
g13
Nsg14
Nsg15
VTRUE
p2411
sbg8
(g9
g10
NtRp2412
(dp2413
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia
p2414
sbg8
(g9
g10
NtRp2415
(dp2416
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p2417
sbg8
(g9
g10
NtRp2418
(dp2419
g13
Nsg14
Nsg15
VFALSE
p2420
sbg8
(g9
g10
NtRp2421
(dp2422
g13
Nsg14
Nsg15
VEuropean Environment Agency
p2423
sbg8
(g9
g10
NtRp2424
(dp2425
g13
Nsg14
Nsg15
VFALSE
p2426
sbNNNNNNNg8
(g9
g10
NtRp2427
(dp2428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2429
(dp2430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2431
(dp2432
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2013_rev12
p2433
sbNg8
(g9
g10
NtRp2434
(dp2435
g13
Nsg14
Nsg15
Vsuperseded
p2436
sbtp2437
a(g8
(g9
g10
NtRp2438
(dp2439
g13
Nsg14
Nsg15
V5c8e945b-7a8d-4eca-b62f-6af53689d2af
p2440
sbNg8
(g9
g10
NtRp2441
(dp2442
g13
Nsg14
Nsg15
VRatio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, EcF)
p2443
sbNNg8
(g23
g10
NtRp2444
(dp2445
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2446
sbNNg8
(g9
g10
NtRp2447
(dp2448
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p2449
sbNNg8
(g9
g10
NtRp2450
(dp2451
g13
Nsg14
Nsg15
VFALSE
p2452
sbNNNg8
(g9
g10
NtRp2453
(dp2454
g13
Nsg14
Nsg15
VFALSE
p2455
sbNNg8
(g9
g10
NtRp2456
(dp2457
g13
Nsg14
Nsg15
VFALSE
p2458
sbNNg8
(g9
g10
NtRp2459
(dp2460
g13
Nsg14
Nsg15
VFALSE
p2461
sbNNg8
(g9
g10
NtRp2462
(dp2463
g13
Nsg14
Nsg15
VEPSG:4258
p2464
sbg8
(g9
g10
NtRp2465
(dp2466
g13
Nsg14
Nsg15
V2019-06-04
p2467
sbNg8
(g9
g10
NtRp2468
(dp2469
g13
Nsg14
Nsg15
VAtmospheric conditions
p2470
sbg8
(g9
g10
NtRp2471
(dp2472
g13
Nsg14
Nsg15
Vwater
p2473
sbNg8
(g9
g10
NtRp2474
(dp2475
g13
Nsg14
Nsg15
Vunknown
p2476
sbNNNg8
(g9
g10
NtRp2477
(dp2478
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p2479
sbg8
(g9
g10
NtRp2480
(dp2481
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e945b-7a8d-4eca-b62f-6af53689d2af
p2482
sbg8
(g9
g10
NtRp2483
(dp2484
g13
Nsg14
g74
sg15
V2011
p2485
sbg8
(g9
g10
NtRp2486
(dp2487
g13
Nsg14
g74
sg15
V2040
p2488
sbg8
(g9
g10
NtRp2489
(dp2490
g13
Nsg14
Nsg15
VTRUE
p2491
sbg8
(g9
g10
NtRp2492
(dp2493
g13
Nsg14
Nsg15
VClimWatAdapt|agriculture|irrigation|water management
p2494
sbg8
(g9
g10
NtRp2495
(dp2496
g13
Nsg14
Nsg15
VNo conditions apply
p2497
sbg8
(g9
g10
NtRp2498
(dp2499
g13
Nsg14
Nsg15
VFALSE
p2500
sbNg8
(g9
g10
NtRp2501
(dp2502
g13
Nsg14
Nsg15
VFALSE
p2503
sbNNNNNNNg8
(g9
g10
NtRp2504
(dp2505
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2506
(dp2507
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2508
(dp2509
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2510
sbNg8
(g9
g10
NtRp2511
(dp2512
g13
Nsg14
Nsg15
Vcompleted
p2513
sbtp2514
a(g8
(g9
g10
NtRp2515
(dp2516
g13
Nsg14
Nsg15
V61fa0fb4-1f51-45b2-9834-90d0cb2e61d7
p2517
sbNg8
(g9
g10
NtRp2518
(dp2519
g13
Nsg14
Nsg15
VCooling water stress during low flow conditions (ClimWatAdapt project, baseline)
p2520
sbNNg8
(g23
g10
NtRp2521
(dp2522
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2523
sbNNg8
(g9
g10
NtRp2524
(dp2525
g13
Nsg14
Nsg15
VRatio of cooling water abstractions to Q90 for ClimWatAdapt baseline.
p2526
sbNNg8
(g9
g10
NtRp2527
(dp2528
g13
Nsg14
Nsg15
VFALSE
p2529
sbNNNg8
(g9
g10
NtRp2530
(dp2531
g13
Nsg14
Nsg15
VFALSE
p2532
sbNNg8
(g9
g10
NtRp2533
(dp2534
g13
Nsg14
Nsg15
VFALSE
p2535
sbNNg8
(g9
g10
NtRp2536
(dp2537
g13
Nsg14
Nsg15
VFALSE
p2538
sbNNg8
(g9
g10
NtRp2539
(dp2540
g13
Nsg14
Nsg15
VEPSG:4258
p2541
sbg8
(g9
g10
NtRp2542
(dp2543
g13
Nsg14
Nsg15
V2019-06-04
p2544
sbNg8
(g9
g10
NtRp2545
(dp2546
g13
Nsg14
Nsg15
VAtmospheric conditions
p2547
sbg8
(g9
g10
NtRp2548
(dp2549
g13
Nsg14
Nsg15
Vwater
p2550
sbNg8
(g9
g10
NtRp2551
(dp2552
g13
Nsg14
Nsg15
Vunknown
p2553
sbNNNg8
(g9
g10
NtRp2554
(dp2555
g13
Nsg14
Nsg15
VNot available
p2556
sbg8
(g9
g10
NtRp2557
(dp2558
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61fa0fb4-1f51-45b2-9834-90d0cb2e61d7
p2559
sbg8
(g9
g10
NtRp2560
(dp2561
g13
Nsg14
g74
sg15
V1961
p2562
sbg8
(g9
g10
NtRp2563
(dp2564
g13
Nsg14
g74
sg15
V1990
p2565
sbg8
(g9
g10
NtRp2566
(dp2567
g13
Nsg14
Nsg15
VTRUE
p2568
sbg8
(g9
g10
NtRp2569
(dp2570
g13
Nsg14
Nsg15
VClimWatAdapt|water management
p2571
sbg8
(g9
g10
NtRp2572
(dp2573
g13
Nsg14
Nsg15
VNo conditions apply
p2574
sbg8
(g9
g10
NtRp2575
(dp2576
g13
Nsg14
Nsg15
VFALSE
p2577
sbNg8
(g9
g10
NtRp2578
(dp2579
g13
Nsg14
Nsg15
VFALSE
p2580
sbNNNNNNNg8
(g9
g10
NtRp2581
(dp2582
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2583
(dp2584
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2585
(dp2586
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2587
sbNg8
(g9
g10
NtRp2588
(dp2589
g13
Nsg14
Nsg15
Vcompleted
p2590
sbtp2591
a(g8
(g9
g10
NtRp2592
(dp2593
g13
Nsg14
Nsg15
V9fa23e51-a965-43d4-b118-01448eecd7e8
p2594
sbNg8
(g9
g10
NtRp2595
(dp2596
g13
Nsg14
Nsg15
VRisk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2025)
p2597
sbNNg8
(g23
g10
NtRp2598
(dp2599
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2600
sbNNg8
(g9
g10
NtRp2601
(dp2602
g13
Nsg14
Nsg15
VReservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level,  i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)
p2603
sbNNg8
(g9
g10
NtRp2604
(dp2605
g13
Nsg14
Nsg15
VFALSE
p2606
sbNNNg8
(g9
g10
NtRp2607
(dp2608
g13
Nsg14
Nsg15
VFALSE
p2609
sbNNg8
(g9
g10
NtRp2610
(dp2611
g13
Nsg14
Nsg15
VFALSE
p2612
sbNNg8
(g9
g10
NtRp2613
(dp2614
g13
Nsg14
Nsg15
VFALSE
p2615
sbNNg8
(g9
g10
NtRp2616
(dp2617
g13
Nsg14
Nsg15
VEPSG:4258
p2618
sbg8
(g9
g10
NtRp2619
(dp2620
g13
Nsg14
Nsg15
V2019-06-04
p2621
sbNg8
(g9
g10
NtRp2622
(dp2623
g13
Nsg14
Nsg15
VAtmospheric conditions
p2624
sbg8
(g9
g10
NtRp2625
(dp2626
g13
Nsg14
Nsg15
Vwater
p2627
sbNg8
(g9
g10
NtRp2628
(dp2629
g13
Nsg14
Nsg15
Vunknown
p2630
sbNNNg8
(g9
g10
NtRp2631
(dp2632
g13
Nsg14
Nsg15
Vnot available
p2633
sbg8
(g9
g10
NtRp2634
(dp2635
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9fa23e51-a965-43d4-b118-01448eecd7e8
p2636
sbg8
(g9
g10
NtRp2637
(dp2638
g13
Nsg14
g74
sg15
V2011
p2639
sbg8
(g9
g10
NtRp2640
(dp2641
g13
Nsg14
g74
sg15
V2040
p2642
sbg8
(g9
g10
NtRp2643
(dp2644
g13
Nsg14
Nsg15
VTRUE
p2645
sbg8
(g9
g10
NtRp2646
(dp2647
g13
Nsg14
Nsg15
VClimWatAdapt|electricity|hydropower|infrastructure|water management
p2648
sbg8
(g9
g10
NtRp2649
(dp2650
g13
Nsg14
Nsg15
VNo conditions apply
p2651
sbg8
(g9
g10
NtRp2652
(dp2653
g13
Nsg14
Nsg15
VFALSE
p2654
sbNg8
(g9
g10
NtRp2655
(dp2656
g13
Nsg14
Nsg15
VFALSE
p2657
sbNNNNNNNg8
(g9
g10
NtRp2658
(dp2659
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2660
(dp2661
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2662
(dp2663
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2664
sbNg8
(g9
g10
NtRp2665
(dp2666
g13
Nsg14
Nsg15
Vcompleted
p2667
sbtp2668
a(g8
(g9
g10
NtRp2669
(dp2670
g13
Nsg14
Nsg15
V0ea4d63e-5d99-45a9-8e11-9791da0fa724
p2671
sbNg8
(g9
g10
NtRp2672
(dp2673
g13
Nsg14
Nsg15
VMaintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, SuE)
p2674
sbNNg8
(g23
g10
NtRp2675
(dp2676
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2677
sbNNg8
(g9
g10
NtRp2678
(dp2679
g13
Nsg14
Nsg15
VMaintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025,SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted =  residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95
p2680
sbNNg8
(g9
g10
NtRp2681
(dp2682
g13
Nsg14
Nsg15
VFALSE
p2683
sbNNNg8
(g9
g10
NtRp2684
(dp2685
g13
Nsg14
Nsg15
VFALSE
p2686
sbNNg8
(g9
g10
NtRp2687
(dp2688
g13
Nsg14
Nsg15
VFALSE
p2689
sbNNg8
(g9
g10
NtRp2690
(dp2691
g13
Nsg14
Nsg15
VFALSE
p2692
sbNNg8
(g9
g10
NtRp2693
(dp2694
g13
Nsg14
Nsg15
VEPSG:4258
p2695
sbg8
(g9
g10
NtRp2696
(dp2697
g13
Nsg14
Nsg15
V2019-06-04
p2698
sbNNg8
(g9
g10
NtRp2699
(dp2700
g13
Nsg14
Nsg15
Vwater
p2701
sbNg8
(g9
g10
NtRp2702
(dp2703
g13
Nsg14
Nsg15
Vunknown
p2704
sbNNNg8
(g9
g10
NtRp2705
(dp2706
g13
Nsg14
Nsg15
VNot available
p2707
sbg8
(g9
g10
NtRp2708
(dp2709
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0ea4d63e-5d99-45a9-8e11-9791da0fa724
p2710
sbg8
(g9
g10
NtRp2711
(dp2712
g13
Nsg14
g74
sg15
V2011
p2713
sbg8
(g9
g10
NtRp2714
(dp2715
g13
Nsg14
g74
sg15
V2040
p2716
sbg8
(g9
g10
NtRp2717
(dp2718
g13
Nsg14
Nsg15
VTRUE
p2719
sbg8
(g9
g10
NtRp2720
(dp2721
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p2722
sbg8
(g9
g10
NtRp2723
(dp2724
g13
Nsg14
Nsg15
VNo conditions apply
p2725
sbg8
(g9
g10
NtRp2726
(dp2727
g13
Nsg14
Nsg15
VFALSE
p2728
sbNg8
(g9
g10
NtRp2729
(dp2730
g13
Nsg14
Nsg15
VFALSE
p2731
sbNNNNNNNg8
(g9
g10
NtRp2732
(dp2733
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2734
(dp2735
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2736
(dp2737
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2738
sbNg8
(g9
g10
NtRp2739
(dp2740
g13
Nsg14
Nsg15
Vcompleted
p2741
sbtp2742
a(g8
(g9
g10
NtRp2743
(dp2744
g13
Nsg14
Nsg15
V3058990c-a73f-4391-8d09-8c0a004b7806
p2745
sbNg8
(g9
g10
NtRp2746
(dp2747
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2025)
p2748
sbNNg8
(g23
g10
NtRp2749
(dp2750
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2751
sbNNg8
(g9
g10
NtRp2752
(dp2753
g13
Nsg14
Nsg15
VShare of NUTS-2 area affected by a severe drought event for 2025.
p2754
sbNNg8
(g9
g10
NtRp2755
(dp2756
g13
Nsg14
Nsg15
VFALSE
p2757
sbNNNg8
(g9
g10
NtRp2758
(dp2759
g13
Nsg14
Nsg15
VFALSE
p2760
sbNNg8
(g9
g10
NtRp2761
(dp2762
g13
Nsg14
Nsg15
VFALSE
p2763
sbNNg8
(g9
g10
NtRp2764
(dp2765
g13
Nsg14
Nsg15
VFALSE
p2766
sbNNg8
(g9
g10
NtRp2767
(dp2768
g13
Nsg14
Nsg15
VEPSG:4258
p2769
sbg8
(g9
g10
NtRp2770
(dp2771
g13
Nsg14
Nsg15
V2019-06-04
p2772
sbNNg8
(g9
g10
NtRp2773
(dp2774
g13
Nsg14
Nsg15
Vwater
p2775
sbNg8
(g9
g10
NtRp2776
(dp2777
g13
Nsg14
Nsg15
Vunknown
p2778
sbNNNg8
(g9
g10
NtRp2779
(dp2780
g13
Nsg14
Nsg15
VTo evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.
p2781
sbg8
(g9
g10
NtRp2782
(dp2783
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3058990c-a73f-4391-8d09-8c0a004b7806
p2784
sbg8
(g9
g10
NtRp2785
(dp2786
g13
Nsg14
g74
sg15
V2011
p2787
sbg8
(g9
g10
NtRp2788
(dp2789
g13
Nsg14
g74
sg15
V2040
p2790
sbg8
(g9
g10
NtRp2791
(dp2792
g13
Nsg14
Nsg15
VTRUE
p2793
sbg8
(g9
g10
NtRp2794
(dp2795
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|droughts|water management
p2796
sbg8
(g9
g10
NtRp2797
(dp2798
g13
Nsg14
Nsg15
VNo conditions apply
p2799
sbg8
(g9
g10
NtRp2800
(dp2801
g13
Nsg14
Nsg15
VFALSE
p2802
sbNg8
(g9
g10
NtRp2803
(dp2804
g13
Nsg14
Nsg15
VFALSE
p2805
sbNNNNNNNg8
(g9
g10
NtRp2806
(dp2807
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2808
(dp2809
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2810
(dp2811
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2812
sbNg8
(g9
g10
NtRp2813
(dp2814
g13
Nsg14
Nsg15
Vcompleted
p2815
sbtp2816
a(g8
(g9
g10
NtRp2817
(dp2818
g13
Nsg14
Nsg15
V3f2b3f39-5b25-44f9-91e0-f674bad84de5
p2819
sbNg8
(g9
g10
NtRp2820
(dp2821
g13
Nsg14
Nsg15
VCooling water stress during low flow conditions (ClimWatAdapt project, 2025, SuE)
p2822
sbNNg8
(g23
g10
NtRp2823
(dp2824
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2825
sbNNg8
(g9
g10
NtRp2826
(dp2827
g13
Nsg14
Nsg15
VRatio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Sustainability Eventually (SuE)
p2828
sbNNg8
(g9
g10
NtRp2829
(dp2830
g13
Nsg14
Nsg15
VFALSE
p2831
sbNNNg8
(g9
g10
NtRp2832
(dp2833
g13
Nsg14
Nsg15
VFALSE
p2834
sbNNg8
(g9
g10
NtRp2835
(dp2836
g13
Nsg14
Nsg15
VFALSE
p2837
sbNNg8
(g9
g10
NtRp2838
(dp2839
g13
Nsg14
Nsg15
VFALSE
p2840
sbNNg8
(g9
g10
NtRp2841
(dp2842
g13
Nsg14
Nsg15
VEPSG:4258
p2843
sbg8
(g9
g10
NtRp2844
(dp2845
g13
Nsg14
Nsg15
V2019-06-04
p2846
sbNNg8
(g9
g10
NtRp2847
(dp2848
g13
Nsg14
Nsg15
Vwater
p2849
sbNg8
(g9
g10
NtRp2850
(dp2851
g13
Nsg14
Nsg15
Vunknown
p2852
sbNNNg8
(g9
g10
NtRp2853
(dp2854
g13
Nsg14
Nsg15
VNot available
p2855
sbg8
(g9
g10
NtRp2856
(dp2857
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f2b3f39-5b25-44f9-91e0-f674bad84de5
p2858
sbg8
(g9
g10
NtRp2859
(dp2860
g13
Nsg14
g74
sg15
V2011
p2861
sbg8
(g9
g10
NtRp2862
(dp2863
g13
Nsg14
g74
sg15
V2040
p2864
sbg8
(g9
g10
NtRp2865
(dp2866
g13
Nsg14
Nsg15
VTRUE
p2867
sbg8
(g9
g10
NtRp2868
(dp2869
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p2870
sbg8
(g9
g10
NtRp2871
(dp2872
g13
Nsg14
Nsg15
VNo conditions apply
p2873
sbg8
(g9
g10
NtRp2874
(dp2875
g13
Nsg14
Nsg15
VFALSE
p2876
sbNg8
(g9
g10
NtRp2877
(dp2878
g13
Nsg14
Nsg15
VFALSE
p2879
sbNNNNNNNg8
(g9
g10
NtRp2880
(dp2881
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2882
(dp2883
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2884
(dp2885
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2886
sbNg8
(g9
g10
NtRp2887
(dp2888
g13
Nsg14
Nsg15
Vcompleted
p2889
sbtp2890
a(g8
(g9
g10
NtRp2891
(dp2892
g13
Nsg14
Nsg15
Vac1a5ed2-7254-46e6-b611-b5f8f94f96da
p2893
sbNg8
(g9
g10
NtRp2894
(dp2895
g13
Nsg14
Nsg15
VRisk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2050)
p2896
sbNNg8
(g23
g10
NtRp2897
(dp2898
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2899
sbNNg8
(g9
g10
NtRp2900
(dp2901
g13
Nsg14
Nsg15
VReservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level,  i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)
p2902
sbNNg8
(g9
g10
NtRp2903
(dp2904
g13
Nsg14
Nsg15
VFALSE
p2905
sbNNNg8
(g9
g10
NtRp2906
(dp2907
g13
Nsg14
Nsg15
VFALSE
p2908
sbNNg8
(g9
g10
NtRp2909
(dp2910
g13
Nsg14
Nsg15
VFALSE
p2911
sbNNg8
(g9
g10
NtRp2912
(dp2913
g13
Nsg14
Nsg15
VFALSE
p2914
sbNNg8
(g9
g10
NtRp2915
(dp2916
g13
Nsg14
Nsg15
VEPSG:4258
p2917
sbg8
(g9
g10
NtRp2918
(dp2919
g13
Nsg14
Nsg15
V2019-06-04
p2920
sbNNg8
(g9
g10
NtRp2921
(dp2922
g13
Nsg14
Nsg15
Vwater
p2923
sbNg8
(g9
g10
NtRp2924
(dp2925
g13
Nsg14
Nsg15
Vunknown
p2926
sbNNNg8
(g9
g10
NtRp2927
(dp2928
g13
Nsg14
Nsg15
Vnot available
p2929
sbg8
(g9
g10
NtRp2930
(dp2931
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac1a5ed2-7254-46e6-b611-b5f8f94f96da
p2932
sbg8
(g9
g10
NtRp2933
(dp2934
g13
Nsg14
g74
sg15
V2041
p2935
sbg8
(g9
g10
NtRp2936
(dp2937
g13
Nsg14
g74
sg15
V207
p2938
sbg8
(g9
g10
NtRp2939
(dp2940
g13
Nsg14
Nsg15
VFALSE
p2941
sbg8
(g9
g10
NtRp2942
(dp2943
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management
p2944
sbg8
(g9
g10
NtRp2945
(dp2946
g13
Nsg14
Nsg15
VNo conditions apply
p2947
sbg8
(g9
g10
NtRp2948
(dp2949
g13
Nsg14
Nsg15
VFALSE
p2950
sbNg8
(g9
g10
NtRp2951
(dp2952
g13
Nsg14
Nsg15
VFALSE
p2953
sbNNNNNNNg8
(g9
g10
NtRp2954
(dp2955
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp2956
(dp2957
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp2958
(dp2959
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p2960
sbNg8
(g9
g10
NtRp2961
(dp2962
g13
Nsg14
Nsg15
Vcompleted
p2963
sbtp2964
a(g8
(g9
g10
NtRp2965
(dp2966
g13
Nsg14
Nsg15
Vfc32a5a7-0c3b-4f97-b851-5dec83a125c7
p2967
sbNg8
(g9
g10
NtRp2968
(dp2969
g13
Nsg14
Nsg15
VVulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2050)
p2970
sbNNg8
(g23
g10
NtRp2971
(dp2972
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p2973
sbNNg8
(g9
g10
NtRp2974
(dp2975
g13
Nsg14
Nsg15
VRun-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a \u201cGood Ecological Status\u201d has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90). The assessment is performed according to three classes: 1. no risk if Q95 (2050) > Q95 (baseline)2. medium risk if Q95 (2050) < Q95 (baseline) and Q90 (2050) > Q95 (baseline)3. high risk if Q95 (baseline) > Q90 (2050).
p2976
sbNNg8
(g9
g10
NtRp2977
(dp2978
g13
Nsg14
Nsg15
VFALSE
p2979
sbNNNg8
(g9
g10
NtRp2980
(dp2981
g13
Nsg14
Nsg15
VFALSE
p2982
sbNNg8
(g9
g10
NtRp2983
(dp2984
g13
Nsg14
Nsg15
VFALSE
p2985
sbNNg8
(g9
g10
NtRp2986
(dp2987
g13
Nsg14
Nsg15
VFALSE
p2988
sbNNg8
(g9
g10
NtRp2989
(dp2990
g13
Nsg14
Nsg15
VEPSG:4258
p2991
sbg8
(g9
g10
NtRp2992
(dp2993
g13
Nsg14
Nsg15
V2019-06-04
p2994
sbNNg8
(g9
g10
NtRp2995
(dp2996
g13
Nsg14
Nsg15
Vwater
p2997
sbNg8
(g9
g10
NtRp2998
(dp2999
g13
Nsg14
Nsg15
Vunknown
p3000
sbNNNg8
(g9
g10
NtRp3001
(dp3002
g13
Nsg14
Nsg15
Vnot available
p3003
sbg8
(g9
g10
NtRp3004
(dp3005
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc32a5a7-0c3b-4f97-b851-5dec83a125c7
p3006
sbg8
(g9
g10
NtRp3007
(dp3008
g13
Nsg14
g74
sg15
V2041
p3009
sbg8
(g9
g10
NtRp3010
(dp3011
g13
Nsg14
g74
sg15
V2070
p3012
sbg8
(g9
g10
NtRp3013
(dp3014
g13
Nsg14
Nsg15
VTRUE
p3015
sbg8
(g9
g10
NtRp3016
(dp3017
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management
p3018
sbg8
(g9
g10
NtRp3019
(dp3020
g13
Nsg14
Nsg15
VNo conditions apply
p3021
sbg8
(g9
g10
NtRp3022
(dp3023
g13
Nsg14
Nsg15
VFALSE
p3024
sbNg8
(g9
g10
NtRp3025
(dp3026
g13
Nsg14
Nsg15
VFALSE
p3027
sbNNNNNNNg8
(g9
g10
NtRp3028
(dp3029
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3030
(dp3031
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3032
(dp3033
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3034
sbNg8
(g9
g10
NtRp3035
(dp3036
g13
Nsg14
Nsg15
Vcompleted
p3037
sbtp3038
a(g8
(g9
g10
NtRp3039
(dp3040
g13
Nsg14
Nsg15
V1f0fcb49-fb4f-4913-8a1c-1824b604ec4a
p3041
sbNg8
(g9
g10
NtRp3042
(dp3043
g13
Nsg14
Nsg15
VCooling water stress during low flow conditions (ClimWatAdapt project, 2050, SuE)
p3044
sbNNg8
(g23
g10
NtRp3045
(dp3046
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3047
sbNNg8
(g9
g10
NtRp3048
(dp3049
g13
Nsg14
Nsg15
VRatio of cooling water abstractions to Q90 for ClimWatAdapt, 2050,SCENES scenario Sustainability Eventually (SuE)
p3050
sbNNg8
(g9
g10
NtRp3051
(dp3052
g13
Nsg14
Nsg15
VFALSE
p3053
sbNNNg8
(g9
g10
NtRp3054
(dp3055
g13
Nsg14
Nsg15
VFALSE
p3056
sbNNg8
(g9
g10
NtRp3057
(dp3058
g13
Nsg14
Nsg15
VFALSE
p3059
sbNNg8
(g9
g10
NtRp3060
(dp3061
g13
Nsg14
Nsg15
VFALSE
p3062
sbNNg8
(g9
g10
NtRp3063
(dp3064
g13
Nsg14
Nsg15
VEPSG:4258
p3065
sbg8
(g9
g10
NtRp3066
(dp3067
g13
Nsg14
Nsg15
V2019-06-04
p3068
sbNNg8
(g9
g10
NtRp3069
(dp3070
g13
Nsg14
Nsg15
Vwater
p3071
sbNg8
(g9
g10
NtRp3072
(dp3073
g13
Nsg14
Nsg15
Vunknown
p3074
sbNNNg8
(g9
g10
NtRp3075
(dp3076
g13
Nsg14
Nsg15
VNot available
p3077
sbg8
(g9
g10
NtRp3078
(dp3079
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f0fcb49-fb4f-4913-8a1c-1824b604ec4a
p3080
sbg8
(g9
g10
NtRp3081
(dp3082
g13
Nsg14
g74
sg15
V2041
p3083
sbg8
(g9
g10
NtRp3084
(dp3085
g13
Nsg14
g74
sg15
V2070
p3086
sbg8
(g9
g10
NtRp3087
(dp3088
g13
Nsg14
Nsg15
VTRUE
p3089
sbg8
(g9
g10
NtRp3090
(dp3091
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p3092
sbg8
(g9
g10
NtRp3093
(dp3094
g13
Nsg14
Nsg15
VNo conditions apply
p3095
sbg8
(g9
g10
NtRp3096
(dp3097
g13
Nsg14
Nsg15
VFALSE
p3098
sbNg8
(g9
g10
NtRp3099
(dp3100
g13
Nsg14
Nsg15
VFALSE
p3101
sbNNNNNNNg8
(g9
g10
NtRp3102
(dp3103
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3104
(dp3105
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3106
(dp3107
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3108
sbNg8
(g9
g10
NtRp3109
(dp3110
g13
Nsg14
Nsg15
Vcompleted
p3111
sbtp3112
a(g8
(g9
g10
NtRp3113
(dp3114
g13
Nsg14
Nsg15
Va281ca9b-dea7-48ef-b451-cf233038b5f6
p3115
sbNg8
(g9
g10
NtRp3116
(dp3117
g13
Nsg14
Nsg15
VMaintenance of environmental minimum flows, summer (ClimWatAdapt project, baseline)
p3118
sbNNg8
(g23
g10
NtRp3119
(dp3120
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3121
sbNNg8
(g9
g10
NtRp3122
(dp3123
g13
Nsg14
Nsg15
VMaintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt baseline.The assessment is performed according to three classes:Env. Flows depleted =  residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95
p3124
sbNNg8
(g9
g10
NtRp3125
(dp3126
g13
Nsg14
Nsg15
VFALSE
p3127
sbNNNg8
(g9
g10
NtRp3128
(dp3129
g13
Nsg14
Nsg15
VFALSE
p3130
sbNNg8
(g9
g10
NtRp3131
(dp3132
g13
Nsg14
Nsg15
VFALSE
p3133
sbNNg8
(g9
g10
NtRp3134
(dp3135
g13
Nsg14
Nsg15
VFALSE
p3136
sbNNg8
(g9
g10
NtRp3137
(dp3138
g13
Nsg14
Nsg15
VEPSG:4258
p3139
sbg8
(g9
g10
NtRp3140
(dp3141
g13
Nsg14
Nsg15
V2019-06-04
p3142
sbNNg8
(g9
g10
NtRp3143
(dp3144
g13
Nsg14
Nsg15
Vwater
p3145
sbNg8
(g9
g10
NtRp3146
(dp3147
g13
Nsg14
Nsg15
Vunknown
p3148
sbNNNg8
(g9
g10
NtRp3149
(dp3150
g13
Nsg14
Nsg15
VNot available
p3151
sbg8
(g9
g10
NtRp3152
(dp3153
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a281ca9b-dea7-48ef-b451-cf233038b5f6
p3154
sbg8
(g9
g10
NtRp3155
(dp3156
g13
Nsg14
g74
sg15
V1961
p3157
sbg8
(g9
g10
NtRp3158
(dp3159
g13
Nsg14
g74
sg15
V1990
p3160
sbg8
(g9
g10
NtRp3161
(dp3162
g13
Nsg14
Nsg15
VTRUE
p3163
sbg8
(g9
g10
NtRp3164
(dp3165
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p3166
sbg8
(g9
g10
NtRp3167
(dp3168
g13
Nsg14
Nsg15
VNo conditions apply
p3169
sbg8
(g9
g10
NtRp3170
(dp3171
g13
Nsg14
Nsg15
VFALSE
p3172
sbNg8
(g9
g10
NtRp3173
(dp3174
g13
Nsg14
Nsg15
VFALSE
p3175
sbNNNNNNNg8
(g9
g10
NtRp3176
(dp3177
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3178
(dp3179
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3180
(dp3181
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3182
sbNg8
(g9
g10
NtRp3183
(dp3184
g13
Nsg14
Nsg15
Vcompleted
p3185
sbtp3186
a(g8
(g9
g10
NtRp3187
(dp3188
g13
Nsg14
Nsg15
Va07d9fa1-b9f5-46d9-9da6-e1eb132558c9
p3189
sbNg8
(g9
g10
NtRp3190
(dp3191
g13
Nsg14
Nsg15
VCooling water stress during low flow conditions (ClimWatAdapt project, 2050, EcF)
p3192
sbNNg8
(g23
g10
NtRp3193
(dp3194
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3195
sbNNg8
(g9
g10
NtRp3196
(dp3197
g13
Nsg14
Nsg15
VRatio of cooling water abstractions to Q90 for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF).
p3198
sbNNg8
(g9
g10
NtRp3199
(dp3200
g13
Nsg14
Nsg15
VFALSE
p3201
sbNNNg8
(g9
g10
NtRp3202
(dp3203
g13
Nsg14
Nsg15
VFALSE
p3204
sbNNg8
(g9
g10
NtRp3205
(dp3206
g13
Nsg14
Nsg15
VFALSE
p3207
sbNNg8
(g9
g10
NtRp3208
(dp3209
g13
Nsg14
Nsg15
VFALSE
p3210
sbNNg8
(g9
g10
NtRp3211
(dp3212
g13
Nsg14
Nsg15
VEPSG:4258
p3213
sbg8
(g9
g10
NtRp3214
(dp3215
g13
Nsg14
Nsg15
V2019-06-04
p3216
sbNNg8
(g9
g10
NtRp3217
(dp3218
g13
Nsg14
Nsg15
Vwater
p3219
sbNg8
(g9
g10
NtRp3220
(dp3221
g13
Nsg14
Nsg15
Vunknown
p3222
sbNNNg8
(g9
g10
NtRp3223
(dp3224
g13
Nsg14
Nsg15
VNot available
p3225
sbg8
(g9
g10
NtRp3226
(dp3227
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a07d9fa1-b9f5-46d9-9da6-e1eb132558c9
p3228
sbg8
(g9
g10
NtRp3229
(dp3230
g13
Nsg14
g74
sg15
V2041
p3231
sbg8
(g9
g10
NtRp3232
(dp3233
g13
Nsg14
g74
sg15
V2070
p3234
sbg8
(g9
g10
NtRp3235
(dp3236
g13
Nsg14
Nsg15
VTRUE
p3237
sbg8
(g9
g10
NtRp3238
(dp3239
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p3240
sbg8
(g9
g10
NtRp3241
(dp3242
g13
Nsg14
Nsg15
VNo conditions apply
p3243
sbg8
(g9
g10
NtRp3244
(dp3245
g13
Nsg14
Nsg15
VFALSE
p3246
sbNg8
(g9
g10
NtRp3247
(dp3248
g13
Nsg14
Nsg15
VFALSE
p3249
sbNNNNNNNg8
(g9
g10
NtRp3250
(dp3251
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3252
(dp3253
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3254
(dp3255
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3256
sbNg8
(g9
g10
NtRp3257
(dp3258
g13
Nsg14
Nsg15
Vcompleted
p3259
sbtp3260
a(g8
(g9
g10
NtRp3261
(dp3262
g13
Nsg14
Nsg15
V4aa88c41-8d69-490d-aa0a-5a7139c496fa
p3263
sbNg8
(g9
g10
NtRp3264
(dp3265
g13
Nsg14
Nsg15
VAnnual average water stress (ClimWatAdapt project, 2025 SuE)
p3266
sbNNg8
(g23
g10
NtRp3267
(dp3268
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3269
sbNNg8
(g9
g10
NtRp3270
(dp3271
g13
Nsg14
Nsg15
VAnnual average water stress indicator WEI on river basin level for 2025, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).
p3272
sbNNg8
(g9
g10
NtRp3273
(dp3274
g13
Nsg14
Nsg15
VFALSE
p3275
sbNNNg8
(g9
g10
NtRp3276
(dp3277
g13
Nsg14
Nsg15
VFALSE
p3278
sbNNg8
(g9
g10
NtRp3279
(dp3280
g13
Nsg14
Nsg15
VFALSE
p3281
sbNNg8
(g9
g10
NtRp3282
(dp3283
g13
Nsg14
Nsg15
VFALSE
p3284
sbNNg8
(g9
g10
NtRp3285
(dp3286
g13
Nsg14
Nsg15
VEPSG:4258
p3287
sbg8
(g9
g10
NtRp3288
(dp3289
g13
Nsg14
Nsg15
V2019-06-04
p3290
sbNNg8
(g9
g10
NtRp3291
(dp3292
g13
Nsg14
Nsg15
Vwater
p3293
sbNg8
(g9
g10
NtRp3294
(dp3295
g13
Nsg14
Nsg15
Vunknown
p3296
sbNNNg8
(g9
g10
NtRp3297
(dp3298
g13
Nsg14
Nsg15
VThe water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).
p3299
sbg8
(g9
g10
NtRp3300
(dp3301
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4aa88c41-8d69-490d-aa0a-5a7139c496fa
p3302
sbg8
(g9
g10
NtRp3303
(dp3304
g13
Nsg14
g74
sg15
V2011
p3305
sbg8
(g9
g10
NtRp3306
(dp3307
g13
Nsg14
g74
sg15
V2040
p3308
sbg8
(g9
g10
NtRp3309
(dp3310
g13
Nsg14
Nsg15
VTRUE
p3311
sbg8
(g9
g10
NtRp3312
(dp3313
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p3314
sbg8
(g9
g10
NtRp3315
(dp3316
g13
Nsg14
Nsg15
VNo conditions apply
p3317
sbg8
(g9
g10
NtRp3318
(dp3319
g13
Nsg14
Nsg15
VFALSE
p3320
sbNg8
(g9
g10
NtRp3321
(dp3322
g13
Nsg14
Nsg15
VFALSE
p3323
sbNNNNNNNg8
(g9
g10
NtRp3324
(dp3325
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3326
(dp3327
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3328
(dp3329
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3330
sbNg8
(g9
g10
NtRp3331
(dp3332
g13
Nsg14
Nsg15
Vcompleted
p3333
sbtp3334
a(g8
(g9
g10
NtRp3335
(dp3336
g13
Nsg14
Nsg15
V5a1b428a-3df0-407b-9acf-e0f99bcd750d
p3337
sbNg8
(g9
g10
NtRp3338
(dp3339
g13
Nsg14
Nsg15
VAnnual average water stress (ClimWatAdapt project, 2050, SuE)
p3340
sbNNg8
(g23
g10
NtRp3341
(dp3342
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3343
sbNNg8
(g9
g10
NtRp3344
(dp3345
g13
Nsg14
Nsg15
VAnnual average water stress indicator WEI on river basin level for 2050, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).
p3346
sbNNg8
(g9
g10
NtRp3347
(dp3348
g13
Nsg14
Nsg15
VFALSE
p3349
sbNNNg8
(g9
g10
NtRp3350
(dp3351
g13
Nsg14
Nsg15
VFALSE
p3352
sbNNg8
(g9
g10
NtRp3353
(dp3354
g13
Nsg14
Nsg15
VFALSE
p3355
sbNNg8
(g9
g10
NtRp3356
(dp3357
g13
Nsg14
Nsg15
VFALSE
p3358
sbNNg8
(g9
g10
NtRp3359
(dp3360
g13
Nsg14
Nsg15
VEPSG:4258
p3361
sbg8
(g9
g10
NtRp3362
(dp3363
g13
Nsg14
Nsg15
V2019-06-04
p3364
sbNNg8
(g9
g10
NtRp3365
(dp3366
g13
Nsg14
Nsg15
Vwater
p3367
sbNg8
(g9
g10
NtRp3368
(dp3369
g13
Nsg14
Nsg15
Vunknown
p3370
sbNNNg8
(g9
g10
NtRp3371
(dp3372
g13
Nsg14
Nsg15
VThe water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).
p3373
sbg8
(g9
g10
NtRp3374
(dp3375
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a1b428a-3df0-407b-9acf-e0f99bcd750d
p3376
sbg8
(g9
g10
NtRp3377
(dp3378
g13
Nsg14
g74
sg15
V2041
p3379
sbg8
(g9
g10
NtRp3380
(dp3381
g13
Nsg14
g74
sg15
V2070
p3382
sbg8
(g9
g10
NtRp3383
(dp3384
g13
Nsg14
Nsg15
VTRUE
p3385
sbg8
(g9
g10
NtRp3386
(dp3387
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p3388
sbg8
(g9
g10
NtRp3389
(dp3390
g13
Nsg14
Nsg15
VNo conditions apply
p3391
sbg8
(g9
g10
NtRp3392
(dp3393
g13
Nsg14
Nsg15
VFALSE
p3394
sbNg8
(g9
g10
NtRp3395
(dp3396
g13
Nsg14
Nsg15
VFALSE
p3397
sbNNNNNNNg8
(g9
g10
NtRp3398
(dp3399
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3400
(dp3401
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3402
(dp3403
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3404
sbNg8
(g9
g10
NtRp3405
(dp3406
g13
Nsg14
Nsg15
Vcompleted
p3407
sbtp3408
a(g8
(g9
g10
NtRp3409
(dp3410
g13
Nsg14
Nsg15
Vcce734d2-f60a-434a-8e9b-1aa961e9ff3e
p3411
sbNg8
(g9
g10
NtRp3412
(dp3413
g13
Nsg14
Nsg15
VRatio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, SUE)
p3414
sbNNg8
(g23
g10
NtRp3415
(dp3416
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3417
sbNNg8
(g9
g10
NtRp3418
(dp3419
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p3420
sbNNg8
(g9
g10
NtRp3421
(dp3422
g13
Nsg14
Nsg15
VFALSE
p3423
sbNNNg8
(g9
g10
NtRp3424
(dp3425
g13
Nsg14
Nsg15
VFALSE
p3426
sbNNg8
(g9
g10
NtRp3427
(dp3428
g13
Nsg14
Nsg15
VFALSE
p3429
sbNNg8
(g9
g10
NtRp3430
(dp3431
g13
Nsg14
Nsg15
VFALSE
p3432
sbNNg8
(g9
g10
NtRp3433
(dp3434
g13
Nsg14
Nsg15
VEPSG:4258
p3435
sbg8
(g9
g10
NtRp3436
(dp3437
g13
Nsg14
Nsg15
V2019-06-04
p3438
sbNNg8
(g9
g10
NtRp3439
(dp3440
g13
Nsg14
Nsg15
Vwater
p3441
sbNg8
(g9
g10
NtRp3442
(dp3443
g13
Nsg14
Nsg15
Vunknown
p3444
sbNNNg8
(g9
g10
NtRp3445
(dp3446
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p3447
sbg8
(g9
g10
NtRp3448
(dp3449
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cce734d2-f60a-434a-8e9b-1aa961e9ff3e
p3450
sbg8
(g9
g10
NtRp3451
(dp3452
g13
Nsg14
g74
sg15
V2011
p3453
sbg8
(g9
g10
NtRp3454
(dp3455
g13
Nsg14
g74
sg15
V2040
p3456
sbg8
(g9
g10
NtRp3457
(dp3458
g13
Nsg14
Nsg15
VTRUE
p3459
sbg8
(g9
g10
NtRp3460
(dp3461
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management
p3462
sbg8
(g9
g10
NtRp3463
(dp3464
g13
Nsg14
Nsg15
VNo conditions apply
p3465
sbg8
(g9
g10
NtRp3466
(dp3467
g13
Nsg14
Nsg15
VFALSE
p3468
sbNg8
(g9
g10
NtRp3469
(dp3470
g13
Nsg14
Nsg15
VFALSE
p3471
sbNNNNNNNg8
(g9
g10
NtRp3472
(dp3473
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3474
(dp3475
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3476
(dp3477
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3478
sbNg8
(g9
g10
NtRp3479
(dp3480
g13
Nsg14
Nsg15
Vcompleted
p3481
sbtp3482
a(g8
(g9
g10
NtRp3483
(dp3484
g13
Nsg14
Nsg15
Vfc791542-38ca-41a1-abde-ef5884cf8f16
p3485
sbNg8
(g9
g10
NtRp3486
(dp3487
g13
Nsg14
Nsg15
VWater stress, summer (ClimWatAdapt project, 2025, SuE)
p3488
sbNNg8
(g23
g10
NtRp3489
(dp3490
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3491
sbNNg8
(g9
g10
NtRp3492
(dp3493
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p3494
sbNNg8
(g9
g10
NtRp3495
(dp3496
g13
Nsg14
Nsg15
VFALSE
p3497
sbNNNg8
(g9
g10
NtRp3498
(dp3499
g13
Nsg14
Nsg15
VFALSE
p3500
sbNNg8
(g9
g10
NtRp3501
(dp3502
g13
Nsg14
Nsg15
VFALSE
p3503
sbNNg8
(g9
g10
NtRp3504
(dp3505
g13
Nsg14
Nsg15
VFALSE
p3506
sbNNg8
(g9
g10
NtRp3507
(dp3508
g13
Nsg14
Nsg15
VEPSG:4258
p3509
sbg8
(g9
g10
NtRp3510
(dp3511
g13
Nsg14
Nsg15
V2019-06-04
p3512
sbNNg8
(g9
g10
NtRp3513
(dp3514
g13
Nsg14
Nsg15
Vwater
p3515
sbNg8
(g9
g10
NtRp3516
(dp3517
g13
Nsg14
Nsg15
Vunknown
p3518
sbNNNg8
(g9
g10
NtRp3519
(dp3520
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p3521
sbg8
(g9
g10
NtRp3522
(dp3523
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc791542-38ca-41a1-abde-ef5884cf8f16
p3524
sbg8
(g9
g10
NtRp3525
(dp3526
g13
Nsg14
g74
sg15
V2011
p3527
sbg8
(g9
g10
NtRp3528
(dp3529
g13
Nsg14
g74
sg15
V2040
p3530
sbg8
(g9
g10
NtRp3531
(dp3532
g13
Nsg14
Nsg15
VTRUE
p3533
sbg8
(g9
g10
NtRp3534
(dp3535
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p3536
sbg8
(g9
g10
NtRp3537
(dp3538
g13
Nsg14
Nsg15
VNo conditions apply
p3539
sbg8
(g9
g10
NtRp3540
(dp3541
g13
Nsg14
Nsg15
VFALSE
p3542
sbNg8
(g9
g10
NtRp3543
(dp3544
g13
Nsg14
Nsg15
VFALSE
p3545
sbNNNNNNNg8
(g9
g10
NtRp3546
(dp3547
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3548
(dp3549
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3550
(dp3551
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3552
sbNg8
(g9
g10
NtRp3553
(dp3554
g13
Nsg14
Nsg15
Vcompleted
p3555
sbtp3556
a(g8
(g9
g10
NtRp3557
(dp3558
g13
Nsg14
Nsg15
V2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818
p3559
sbNg8
(g9
g10
NtRp3560
(dp3561
g13
Nsg14
Nsg15
VVulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2025)
p3562
sbNNg8
(g23
g10
NtRp3563
(dp3564
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3565
sbNNg8
(g9
g10
NtRp3566
(dp3567
g13
Nsg14
Nsg15
VRun-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a \u201cGood Ecological Status\u201d has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90).
p3568
sbNNg8
(g9
g10
NtRp3569
(dp3570
g13
Nsg14
Nsg15
VFALSE
p3571
sbNNNg8
(g9
g10
NtRp3572
(dp3573
g13
Nsg14
Nsg15
VFALSE
p3574
sbNNg8
(g9
g10
NtRp3575
(dp3576
g13
Nsg14
Nsg15
VFALSE
p3577
sbNNg8
(g9
g10
NtRp3578
(dp3579
g13
Nsg14
Nsg15
VFALSE
p3580
sbNNg8
(g9
g10
NtRp3581
(dp3582
g13
Nsg14
Nsg15
VEPSG:4258
p3583
sbg8
(g9
g10
NtRp3584
(dp3585
g13
Nsg14
Nsg15
V2019-06-04
p3586
sbNNg8
(g9
g10
NtRp3587
(dp3588
g13
Nsg14
Nsg15
Vwater
p3589
sbNg8
(g9
g10
NtRp3590
(dp3591
g13
Nsg14
Nsg15
Vunknown
p3592
sbNNNg8
(g9
g10
NtRp3593
(dp3594
g13
Nsg14
Nsg15
Vnot available
p3595
sbg8
(g9
g10
NtRp3596
(dp3597
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818
p3598
sbg8
(g9
g10
NtRp3599
(dp3600
g13
Nsg14
g74
sg15
V2011
p3601
sbg8
(g9
g10
NtRp3602
(dp3603
g13
Nsg14
g74
sg15
V2040
p3604
sbg8
(g9
g10
NtRp3605
(dp3606
g13
Nsg14
Nsg15
VTRUE
p3607
sbg8
(g9
g10
NtRp3608
(dp3609
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management
p3610
sbg8
(g9
g10
NtRp3611
(dp3612
g13
Nsg14
Nsg15
VNo conditions apply
p3613
sbg8
(g9
g10
NtRp3614
(dp3615
g13
Nsg14
Nsg15
VFALSE
p3616
sbNg8
(g9
g10
NtRp3617
(dp3618
g13
Nsg14
Nsg15
VFALSE
p3619
sbNNNNNNNg8
(g9
g10
NtRp3620
(dp3621
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3622
(dp3623
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3624
(dp3625
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3626
sbNg8
(g9
g10
NtRp3627
(dp3628
g13
Nsg14
Nsg15
Vcompleted
p3629
sbtp3630
a(g8
(g9
g10
NtRp3631
(dp3632
g13
Nsg14
Nsg15
V090b5d85-9d39-40d3-841f-fe3c02540446
p3633
sbNg8
(g9
g10
NtRp3634
(dp3635
g13
Nsg14
Nsg15
VAnnual average water stress (ClimWatAdapt project, 2025 EcF)
p3636
sbNNg8
(g23
g10
NtRp3637
(dp3638
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3639
sbNNg8
(g9
g10
NtRp3640
(dp3641
g13
Nsg14
Nsg15
VAnnual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).
p3642
sbNNg8
(g9
g10
NtRp3643
(dp3644
g13
Nsg14
Nsg15
VFALSE
p3645
sbNNNg8
(g9
g10
NtRp3646
(dp3647
g13
Nsg14
Nsg15
VFALSE
p3648
sbNNg8
(g9
g10
NtRp3649
(dp3650
g13
Nsg14
Nsg15
VFALSE
p3651
sbNNg8
(g9
g10
NtRp3652
(dp3653
g13
Nsg14
Nsg15
VFALSE
p3654
sbNNg8
(g9
g10
NtRp3655
(dp3656
g13
Nsg14
Nsg15
VEPSG:4258
p3657
sbg8
(g9
g10
NtRp3658
(dp3659
g13
Nsg14
Nsg15
V2019-06-04
p3660
sbNNg8
(g9
g10
NtRp3661
(dp3662
g13
Nsg14
Nsg15
Vwater
p3663
sbNg8
(g9
g10
NtRp3664
(dp3665
g13
Nsg14
Nsg15
Vunknown
p3666
sbNNNg8
(g9
g10
NtRp3667
(dp3668
g13
Nsg14
Nsg15
VThe water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).
p3669
sbg8
(g9
g10
NtRp3670
(dp3671
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/090b5d85-9d39-40d3-841f-fe3c02540446
p3672
sbg8
(g9
g10
NtRp3673
(dp3674
g13
Nsg14
g74
sg15
V2041
p3675
sbg8
(g9
g10
NtRp3676
(dp3677
g13
Nsg14
g74
sg15
V2070
p3678
sbg8
(g9
g10
NtRp3679
(dp3680
g13
Nsg14
Nsg15
VTRUE
p3681
sbg8
(g9
g10
NtRp3682
(dp3683
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p3684
sbg8
(g9
g10
NtRp3685
(dp3686
g13
Nsg14
Nsg15
VNo conditions apply
p3687
sbg8
(g9
g10
NtRp3688
(dp3689
g13
Nsg14
Nsg15
VFALSE
p3690
sbNg8
(g9
g10
NtRp3691
(dp3692
g13
Nsg14
Nsg15
VFALSE
p3693
sbNNNNNNNg8
(g9
g10
NtRp3694
(dp3695
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3696
(dp3697
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3698
(dp3699
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3700
sbNg8
(g9
g10
NtRp3701
(dp3702
g13
Nsg14
Nsg15
Vcompleted
p3703
sbtp3704
a(g8
(g9
g10
NtRp3705
(dp3706
g13
Nsg14
Nsg15
V91d58a95-ba4b-4aae-b191-d80a9f52d761
p3707
sbNg8
(g9
g10
NtRp3708
(dp3709
g13
Nsg14
Nsg15
VRatio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, EcF)
p3710
sbNNg8
(g23
g10
NtRp3711
(dp3712
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3713
sbNNg8
(g9
g10
NtRp3714
(dp3715
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p3716
sbNNg8
(g9
g10
NtRp3717
(dp3718
g13
Nsg14
Nsg15
VFALSE
p3719
sbNNNg8
(g9
g10
NtRp3720
(dp3721
g13
Nsg14
Nsg15
VFALSE
p3722
sbNNg8
(g9
g10
NtRp3723
(dp3724
g13
Nsg14
Nsg15
VFALSE
p3725
sbNNg8
(g9
g10
NtRp3726
(dp3727
g13
Nsg14
Nsg15
VFALSE
p3728
sbNNg8
(g9
g10
NtRp3729
(dp3730
g13
Nsg14
Nsg15
VEPSG:4258
p3731
sbg8
(g9
g10
NtRp3732
(dp3733
g13
Nsg14
Nsg15
V2019-06-04
p3734
sbNNg8
(g9
g10
NtRp3735
(dp3736
g13
Nsg14
Nsg15
Vwater
p3737
sbNg8
(g9
g10
NtRp3738
(dp3739
g13
Nsg14
Nsg15
Vunknown
p3740
sbNNNg8
(g9
g10
NtRp3741
(dp3742
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p3743
sbg8
(g9
g10
NtRp3744
(dp3745
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91d58a95-ba4b-4aae-b191-d80a9f52d761
p3746
sbg8
(g9
g10
NtRp3747
(dp3748
g13
Nsg14
g74
sg15
V2041
p3749
sbg8
(g9
g10
NtRp3750
(dp3751
g13
Nsg14
g74
sg15
V2070
p3752
sbg8
(g9
g10
NtRp3753
(dp3754
g13
Nsg14
Nsg15
VTRUE
p3755
sbg8
(g9
g10
NtRp3756
(dp3757
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management
p3758
sbg8
(g9
g10
NtRp3759
(dp3760
g13
Nsg14
Nsg15
VNo conditions apply
p3761
sbg8
(g9
g10
NtRp3762
(dp3763
g13
Nsg14
Nsg15
VFALSE
p3764
sbNg8
(g9
g10
NtRp3765
(dp3766
g13
Nsg14
Nsg15
VFALSE
p3767
sbNNNNNNNg8
(g9
g10
NtRp3768
(dp3769
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3770
(dp3771
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3772
(dp3773
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3774
sbNg8
(g9
g10
NtRp3775
(dp3776
g13
Nsg14
Nsg15
Vcompleted
p3777
sbtp3778
a(g8
(g9
g10
NtRp3779
(dp3780
g13
Nsg14
Nsg15
V18c9e0d9-a8dc-4041-96ce-5271c630088a
p3781
sbNg8
(g9
g10
NtRp3782
(dp3783
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by floods (ClimWatAdapt project, 2050)
p3784
sbNNg8
(g23
g10
NtRp3785
(dp3786
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3787
sbNNg8
(g9
g10
NtRp3788
(dp3789
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by floods for 2050.Percentage  of  NUTS-2  area  affected  by  100-year  flood  event  in  the  2050s.  Median  of ensemble flood results as calculated by LISFLOOD.One of the most frequently used indicators for large floods is the discharge of a 100-year flood, defined as a flood that statistically returns once in 100 years. 100-year floods are extreme flood events, causing especially high economical damage. Therefore, the public interest is high in information about future changes in the magnitude of 100-year floods or in the frequency of what is currently a 100-year flood. Further, this indicator is frequently used for the dimensioning of flood protection works.
p3790
sbNNg8
(g9
g10
NtRp3791
(dp3792
g13
Nsg14
Nsg15
VFALSE
p3793
sbNNNg8
(g9
g10
NtRp3794
(dp3795
g13
Nsg14
Nsg15
VFALSE
p3796
sbNNg8
(g9
g10
NtRp3797
(dp3798
g13
Nsg14
Nsg15
VFALSE
p3799
sbNNg8
(g9
g10
NtRp3800
(dp3801
g13
Nsg14
Nsg15
VFALSE
p3802
sbNNg8
(g9
g10
NtRp3803
(dp3804
g13
Nsg14
Nsg15
VEPSG:4258
p3805
sbg8
(g9
g10
NtRp3806
(dp3807
g13
Nsg14
Nsg15
V2019-06-04
p3808
sbNNg8
(g9
g10
NtRp3809
(dp3810
g13
Nsg14
Nsg15
Vwater
p3811
sbNg8
(g9
g10
NtRp3812
(dp3813
g13
Nsg14
Nsg15
Vunknown
p3814
sbNNNg8
(g9
g10
NtRp3815
(dp3816
g13
Nsg14
Nsg15
VThe indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.
p3817
sbg8
(g9
g10
NtRp3818
(dp3819
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18c9e0d9-a8dc-4041-96ce-5271c630088a
p3820
sbg8
(g9
g10
NtRp3821
(dp3822
g13
Nsg14
g74
sg15
V2041
p3823
sbg8
(g9
g10
NtRp3824
(dp3825
g13
Nsg14
g74
sg15
V2070
p3826
sbg8
(g9
g10
NtRp3827
(dp3828
g13
Nsg14
Nsg15
VTRUE
p3829
sbg8
(g9
g10
NtRp3830
(dp3831
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|floods|water management
p3832
sbg8
(g9
g10
NtRp3833
(dp3834
g13
Nsg14
Nsg15
VNo conditions apply
p3835
sbg8
(g9
g10
NtRp3836
(dp3837
g13
Nsg14
Nsg15
VFALSE
p3838
sbNg8
(g9
g10
NtRp3839
(dp3840
g13
Nsg14
Nsg15
VFALSE
p3841
sbNNNNNNNg8
(g9
g10
NtRp3842
(dp3843
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3844
(dp3845
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3846
(dp3847
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3848
sbNg8
(g9
g10
NtRp3849
(dp3850
g13
Nsg14
Nsg15
Vcompleted
p3851
sbtp3852
a(g8
(g9
g10
NtRp3853
(dp3854
g13
Nsg14
Nsg15
V4a6d0d4c-8940-4d4b-863b-2225f760d677
p3855
sbNg8
(g9
g10
NtRp3856
(dp3857
g13
Nsg14
Nsg15
VChange in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2050)
p3858
sbNNg8
(g23
g10
NtRp3859
(dp3860
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3861
sbNNg8
(g9
g10
NtRp3862
(dp3863
g13
Nsg14
Nsg15
VRelative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.
p3864
sbNNg8
(g9
g10
NtRp3865
(dp3866
g13
Nsg14
Nsg15
VFALSE
p3867
sbNNNg8
(g9
g10
NtRp3868
(dp3869
g13
Nsg14
Nsg15
VFALSE
p3870
sbNNg8
(g9
g10
NtRp3871
(dp3872
g13
Nsg14
Nsg15
VFALSE
p3873
sbNNg8
(g9
g10
NtRp3874
(dp3875
g13
Nsg14
Nsg15
VFALSE
p3876
sbNNg8
(g9
g10
NtRp3877
(dp3878
g13
Nsg14
Nsg15
VEPSG:4258
p3879
sbg8
(g9
g10
NtRp3880
(dp3881
g13
Nsg14
Nsg15
V2019-06-04
p3882
sbNNg8
(g9
g10
NtRp3883
(dp3884
g13
Nsg14
Nsg15
Vwater
p3885
sbNg8
(g9
g10
NtRp3886
(dp3887
g13
Nsg14
Nsg15
Vunknown
p3888
sbNNNg8
(g9
g10
NtRp3889
(dp3890
g13
Nsg14
Nsg15
V1) Calculation of Q95 for all hydrological scenarios for the baseline and 2025s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change
p3891
sbg8
(g9
g10
NtRp3892
(dp3893
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a6d0d4c-8940-4d4b-863b-2225f760d677
p3894
sbg8
(g9
g10
NtRp3895
(dp3896
g13
Nsg14
g74
sg15
V2041
p3897
sbg8
(g9
g10
NtRp3898
(dp3899
g13
Nsg14
g74
sg15
V2070
p3900
sbg8
(g9
g10
NtRp3901
(dp3902
g13
Nsg14
Nsg15
VTRUE
p3903
sbg8
(g9
g10
NtRp3904
(dp3905
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p3906
sbg8
(g9
g10
NtRp3907
(dp3908
g13
Nsg14
Nsg15
VNo conditions apply
p3909
sbg8
(g9
g10
NtRp3910
(dp3911
g13
Nsg14
Nsg15
VFALSE
p3912
sbNg8
(g9
g10
NtRp3913
(dp3914
g13
Nsg14
Nsg15
VFALSE
p3915
sbNNNNNNNg8
(g9
g10
NtRp3916
(dp3917
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3918
(dp3919
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3920
(dp3921
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3922
sbNg8
(g9
g10
NtRp3923
(dp3924
g13
Nsg14
Nsg15
Vcompleted
p3925
sbtp3926
a(g8
(g9
g10
NtRp3927
(dp3928
g13
Nsg14
Nsg15
V89353ad5-debf-4bb5-9157-e7e90b002416
p3929
sbNg8
(g9
g10
NtRp3930
(dp3931
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by floods (ClimWatAdapt project, 2025)
p3932
sbNNg8
(g23
g10
NtRp3933
(dp3934
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p3935
sbNNg8
(g9
g10
NtRp3936
(dp3937
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by floods for 2025.
p3938
sbNNg8
(g9
g10
NtRp3939
(dp3940
g13
Nsg14
Nsg15
VFALSE
p3941
sbNNNg8
(g9
g10
NtRp3942
(dp3943
g13
Nsg14
Nsg15
VFALSE
p3944
sbNNg8
(g9
g10
NtRp3945
(dp3946
g13
Nsg14
Nsg15
VFALSE
p3947
sbNNg8
(g9
g10
NtRp3948
(dp3949
g13
Nsg14
Nsg15
VFALSE
p3950
sbNNg8
(g9
g10
NtRp3951
(dp3952
g13
Nsg14
Nsg15
VEPSG:4258
p3953
sbg8
(g9
g10
NtRp3954
(dp3955
g13
Nsg14
Nsg15
V2019-06-04
p3956
sbNNg8
(g9
g10
NtRp3957
(dp3958
g13
Nsg14
Nsg15
Vwater
p3959
sbNg8
(g9
g10
NtRp3960
(dp3961
g13
Nsg14
Nsg15
Vunknown
p3962
sbNNNg8
(g9
g10
NtRp3963
(dp3964
g13
Nsg14
Nsg15
VThe indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.
p3965
sbg8
(g9
g10
NtRp3966
(dp3967
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89353ad5-debf-4bb5-9157-e7e90b002416
p3968
sbg8
(g9
g10
NtRp3969
(dp3970
g13
Nsg14
g74
sg15
V2011
p3971
sbg8
(g9
g10
NtRp3972
(dp3973
g13
Nsg14
g74
sg15
V2040
p3974
sbg8
(g9
g10
NtRp3975
(dp3976
g13
Nsg14
Nsg15
VTRUE
p3977
sbg8
(g9
g10
NtRp3978
(dp3979
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|floods|water management
p3980
sbg8
(g9
g10
NtRp3981
(dp3982
g13
Nsg14
Nsg15
VNo conditions apply
p3983
sbg8
(g9
g10
NtRp3984
(dp3985
g13
Nsg14
Nsg15
VFALSE
p3986
sbNg8
(g9
g10
NtRp3987
(dp3988
g13
Nsg14
Nsg15
VFALSE
p3989
sbNNNNNNNg8
(g9
g10
NtRp3990
(dp3991
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp3992
(dp3993
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp3994
(dp3995
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p3996
sbNg8
(g9
g10
NtRp3997
(dp3998
g13
Nsg14
Nsg15
Vcompleted
p3999
sbtp4000
a(g8
(g9
g10
NtRp4001
(dp4002
g13
Nsg14
Nsg15
V34a2f590-196f-4a84-997d-79a775ecac25
p4003
sbNg8
(g9
g10
NtRp4004
(dp4005
g13
Nsg14
Nsg15
VWater stress, summer (ClimWatAdapt project, 2025, EcF)
p4006
sbNNg8
(g23
g10
NtRp4007
(dp4008
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4009
sbNNg8
(g9
g10
NtRp4010
(dp4011
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4012
sbNNg8
(g9
g10
NtRp4013
(dp4014
g13
Nsg14
Nsg15
VFALSE
p4015
sbNNNg8
(g9
g10
NtRp4016
(dp4017
g13
Nsg14
Nsg15
VFALSE
p4018
sbNNg8
(g9
g10
NtRp4019
(dp4020
g13
Nsg14
Nsg15
VFALSE
p4021
sbNNg8
(g9
g10
NtRp4022
(dp4023
g13
Nsg14
Nsg15
VFALSE
p4024
sbNNg8
(g9
g10
NtRp4025
(dp4026
g13
Nsg14
Nsg15
VEPSG:4258
p4027
sbg8
(g9
g10
NtRp4028
(dp4029
g13
Nsg14
Nsg15
V2019-06-04
p4030
sbNNg8
(g9
g10
NtRp4031
(dp4032
g13
Nsg14
Nsg15
Vwater
p4033
sbNg8
(g9
g10
NtRp4034
(dp4035
g13
Nsg14
Nsg15
Vunknown
p4036
sbNNNg8
(g9
g10
NtRp4037
(dp4038
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p4039
sbg8
(g9
g10
NtRp4040
(dp4041
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34a2f590-196f-4a84-997d-79a775ecac25
p4042
sbg8
(g9
g10
NtRp4043
(dp4044
g13
Nsg14
g74
sg15
V2011
p4045
sbg8
(g9
g10
NtRp4046
(dp4047
g13
Nsg14
g74
sg15
V2040
p4048
sbg8
(g9
g10
NtRp4049
(dp4050
g13
Nsg14
Nsg15
VTRUE
p4051
sbg8
(g9
g10
NtRp4052
(dp4053
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p4054
sbg8
(g9
g10
NtRp4055
(dp4056
g13
Nsg14
Nsg15
VNo conditions apply
p4057
sbg8
(g9
g10
NtRp4058
(dp4059
g13
Nsg14
Nsg15
VFALSE
p4060
sbNg8
(g9
g10
NtRp4061
(dp4062
g13
Nsg14
Nsg15
VFALSE
p4063
sbNNNNNNNg8
(g9
g10
NtRp4064
(dp4065
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4066
(dp4067
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4068
(dp4069
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4070
sbNg8
(g9
g10
NtRp4071
(dp4072
g13
Nsg14
Nsg15
Vcompleted
p4073
sbtp4074
a(g8
(g9
g10
NtRp4075
(dp4076
g13
Nsg14
Nsg15
Vacbed825-24fe-463b-ac6d-f48921f3eb34
p4077
sbNg8
(g9
g10
NtRp4078
(dp4079
g13
Nsg14
Nsg15
VRatio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, SUE)
p4080
sbNNg8
(g23
g10
NtRp4081
(dp4082
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4083
sbNNg8
(g9
g10
NtRp4084
(dp4085
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4086
sbNNg8
(g9
g10
NtRp4087
(dp4088
g13
Nsg14
Nsg15
VFALSE
p4089
sbNNNg8
(g9
g10
NtRp4090
(dp4091
g13
Nsg14
Nsg15
VFALSE
p4092
sbNNg8
(g9
g10
NtRp4093
(dp4094
g13
Nsg14
Nsg15
VFALSE
p4095
sbNNg8
(g9
g10
NtRp4096
(dp4097
g13
Nsg14
Nsg15
VFALSE
p4098
sbNNg8
(g9
g10
NtRp4099
(dp4100
g13
Nsg14
Nsg15
VEPSG:4258
p4101
sbg8
(g9
g10
NtRp4102
(dp4103
g13
Nsg14
Nsg15
V2019-06-04
p4104
sbNNg8
(g9
g10
NtRp4105
(dp4106
g13
Nsg14
Nsg15
Vwater
p4107
sbNg8
(g9
g10
NtRp4108
(dp4109
g13
Nsg14
Nsg15
Vunknown
p4110
sbNNNg8
(g9
g10
NtRp4111
(dp4112
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p4113
sbg8
(g9
g10
NtRp4114
(dp4115
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acbed825-24fe-463b-ac6d-f48921f3eb34
p4116
sbg8
(g9
g10
NtRp4117
(dp4118
g13
Nsg14
g74
sg15
V2041
p4119
sbg8
(g9
g10
NtRp4120
(dp4121
g13
Nsg14
g74
sg15
V2070
p4122
sbg8
(g9
g10
NtRp4123
(dp4124
g13
Nsg14
Nsg15
VTRUE
p4125
sbg8
(g9
g10
NtRp4126
(dp4127
g13
Nsg14
Nsg15
VAtmospheric conditions|Bio-geographical regions|ClimWatAdapt|agriculture|irrigation|water management
p4128
sbg8
(g9
g10
NtRp4129
(dp4130
g13
Nsg14
Nsg15
VNo conditions apply
p4131
sbg8
(g9
g10
NtRp4132
(dp4133
g13
Nsg14
Nsg15
VFALSE
p4134
sbNg8
(g9
g10
NtRp4135
(dp4136
g13
Nsg14
Nsg15
VFALSE
p4137
sbNNNNNNNg8
(g9
g10
NtRp4138
(dp4139
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4140
(dp4141
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4142
(dp4143
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4144
sbNg8
(g9
g10
NtRp4145
(dp4146
g13
Nsg14
Nsg15
Vcompleted
p4147
sbtp4148
a(g8
(g9
g10
NtRp4149
(dp4150
g13
Nsg14
Nsg15
Va02c2bd9-e7bc-47f7-a5db-bd9006aba982
p4151
sbNg8
(g9
g10
NtRp4152
(dp4153
g13
Nsg14
Nsg15
VWater stress, summer (ClimWatAdapt project, 2050, SuE)
p4154
sbNNg8
(g23
g10
NtRp4155
(dp4156
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4157
sbNNg8
(g9
g10
NtRp4158
(dp4159
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE). In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4160
sbNNg8
(g9
g10
NtRp4161
(dp4162
g13
Nsg14
Nsg15
VFALSE
p4163
sbNNNg8
(g9
g10
NtRp4164
(dp4165
g13
Nsg14
Nsg15
VFALSE
p4166
sbNNg8
(g9
g10
NtRp4167
(dp4168
g13
Nsg14
Nsg15
VFALSE
p4169
sbNNg8
(g9
g10
NtRp4170
(dp4171
g13
Nsg14
Nsg15
VFALSE
p4172
sbNNg8
(g9
g10
NtRp4173
(dp4174
g13
Nsg14
Nsg15
VEPSG:4258
p4175
sbg8
(g9
g10
NtRp4176
(dp4177
g13
Nsg14
Nsg15
V2019-06-04
p4178
sbNNg8
(g9
g10
NtRp4179
(dp4180
g13
Nsg14
Nsg15
Vwater
p4181
sbNg8
(g9
g10
NtRp4182
(dp4183
g13
Nsg14
Nsg15
Vunknown
p4184
sbNNNg8
(g9
g10
NtRp4185
(dp4186
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p4187
sbg8
(g9
g10
NtRp4188
(dp4189
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a02c2bd9-e7bc-47f7-a5db-bd9006aba982
p4190
sbg8
(g9
g10
NtRp4191
(dp4192
g13
Nsg14
g74
sg15
V2041
p4193
sbg8
(g9
g10
NtRp4194
(dp4195
g13
Nsg14
g74
sg15
V2070
p4196
sbg8
(g9
g10
NtRp4197
(dp4198
g13
Nsg14
Nsg15
VTRUE
p4199
sbg8
(g9
g10
NtRp4200
(dp4201
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p4202
sbg8
(g9
g10
NtRp4203
(dp4204
g13
Nsg14
Nsg15
VNo conditions apply
p4205
sbg8
(g9
g10
NtRp4206
(dp4207
g13
Nsg14
Nsg15
VFALSE
p4208
sbNg8
(g9
g10
NtRp4209
(dp4210
g13
Nsg14
Nsg15
VFALSE
p4211
sbNNNNNNNg8
(g9
g10
NtRp4212
(dp4213
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4214
(dp4215
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4216
(dp4217
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4218
sbNg8
(g9
g10
NtRp4219
(dp4220
g13
Nsg14
Nsg15
Vcompleted
p4221
sbtp4222
a(g8
(g9
g10
NtRp4223
(dp4224
g13
Nsg14
Nsg15
V48300160-7c4d-42e4-8224-81c1b4877b60
p4225
sbNg8
(g9
g10
NtRp4226
(dp4227
g13
Nsg14
Nsg15
VMaintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, SuE)
p4228
sbNNg8
(g23
g10
NtRp4229
(dp4230
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4231
sbNNg8
(g9
g10
NtRp4232
(dp4233
g13
Nsg14
Nsg15
VMaintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted =  residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95
p4234
sbNNg8
(g9
g10
NtRp4235
(dp4236
g13
Nsg14
Nsg15
VFALSE
p4237
sbNNNg8
(g9
g10
NtRp4238
(dp4239
g13
Nsg14
Nsg15
VFALSE
p4240
sbNNg8
(g9
g10
NtRp4241
(dp4242
g13
Nsg14
Nsg15
VFALSE
p4243
sbNNg8
(g9
g10
NtRp4244
(dp4245
g13
Nsg14
Nsg15
VFALSE
p4246
sbNNg8
(g9
g10
NtRp4247
(dp4248
g13
Nsg14
Nsg15
VEPSG:4258
p4249
sbg8
(g9
g10
NtRp4250
(dp4251
g13
Nsg14
Nsg15
V2019-06-04
p4252
sbNNg8
(g9
g10
NtRp4253
(dp4254
g13
Nsg14
Nsg15
Vwater
p4255
sbNg8
(g9
g10
NtRp4256
(dp4257
g13
Nsg14
Nsg15
Vunknown
p4258
sbNNNg8
(g9
g10
NtRp4259
(dp4260
g13
Nsg14
Nsg15
VNot available
p4261
sbg8
(g9
g10
NtRp4262
(dp4263
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48300160-7c4d-42e4-8224-81c1b4877b60
p4264
sbg8
(g9
g10
NtRp4265
(dp4266
g13
Nsg14
g74
sg15
V2041
p4267
sbg8
(g9
g10
NtRp4268
(dp4269
g13
Nsg14
g74
sg15
V2070
p4270
sbg8
(g9
g10
NtRp4271
(dp4272
g13
Nsg14
Nsg15
VTRUE
p4273
sbg8
(g9
g10
NtRp4274
(dp4275
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p4276
sbg8
(g9
g10
NtRp4277
(dp4278
g13
Nsg14
Nsg15
VNo conditions apply
p4279
sbg8
(g9
g10
NtRp4280
(dp4281
g13
Nsg14
Nsg15
VFALSE
p4282
sbNg8
(g9
g10
NtRp4283
(dp4284
g13
Nsg14
Nsg15
VFALSE
p4285
sbNNNNNNNg8
(g9
g10
NtRp4286
(dp4287
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4288
(dp4289
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4290
(dp4291
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4292
sbNg8
(g9
g10
NtRp4293
(dp4294
g13
Nsg14
Nsg15
Vcompleted
p4295
sbtp4296
a(g8
(g9
g10
NtRp4297
(dp4298
g13
Nsg14
Nsg15
Vdf9b8b8f-bf58-40c6-b54c-4e7233e652bd
p4299
sbNg8
(g9
g10
NtRp4300
(dp4301
g13
Nsg14
Nsg15
VChange in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2025)
p4302
sbNNg8
(g23
g10
NtRp4303
(dp4304
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4305
sbNNg8
(g9
g10
NtRp4306
(dp4307
g13
Nsg14
Nsg15
VRelative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.
p4308
sbNNg8
(g9
g10
NtRp4309
(dp4310
g13
Nsg14
Nsg15
VFALSE
p4311
sbNNNg8
(g9
g10
NtRp4312
(dp4313
g13
Nsg14
Nsg15
VFALSE
p4314
sbNNg8
(g9
g10
NtRp4315
(dp4316
g13
Nsg14
Nsg15
VFALSE
p4317
sbNNg8
(g9
g10
NtRp4318
(dp4319
g13
Nsg14
Nsg15
VFALSE
p4320
sbNNg8
(g9
g10
NtRp4321
(dp4322
g13
Nsg14
Nsg15
VEPSG:4258
p4323
sbg8
(g9
g10
NtRp4324
(dp4325
g13
Nsg14
Nsg15
V2019-06-04
p4326
sbNNg8
(g9
g10
NtRp4327
(dp4328
g13
Nsg14
Nsg15
Vwater
p4329
sbNg8
(g9
g10
NtRp4330
(dp4331
g13
Nsg14
Nsg15
Vunknown
p4332
sbNNNg8
(g9
g10
NtRp4333
(dp4334
g13
Nsg14
Nsg15
V1) Calculation of Q95 for all hydrological scenarios for the baseline and 2050s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change
p4335
sbg8
(g9
g10
NtRp4336
(dp4337
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df9b8b8f-bf58-40c6-b54c-4e7233e652bd
p4338
sbg8
(g9
g10
NtRp4339
(dp4340
g13
Nsg14
g74
sg15
V2011
p4341
sbg8
(g9
g10
NtRp4342
(dp4343
g13
Nsg14
g74
sg15
V2011
p4344
sbg8
(g9
g10
NtRp4345
(dp4346
g13
Nsg14
Nsg15
VFALSE
p4347
sbg8
(g9
g10
NtRp4348
(dp4349
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p4350
sbg8
(g9
g10
NtRp4351
(dp4352
g13
Nsg14
Nsg15
VNo conditions apply
p4353
sbg8
(g9
g10
NtRp4354
(dp4355
g13
Nsg14
Nsg15
VFALSE
p4356
sbNg8
(g9
g10
NtRp4357
(dp4358
g13
Nsg14
Nsg15
VFALSE
p4359
sbNNNNNNNg8
(g9
g10
NtRp4360
(dp4361
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4362
(dp4363
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4364
(dp4365
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4366
sbNg8
(g9
g10
NtRp4367
(dp4368
g13
Nsg14
Nsg15
Vcompleted
p4369
sbtp4370
a(g8
(g9
g10
NtRp4371
(dp4372
g13
Nsg14
Nsg15
Vc0ceebc6-da8a-4fa6-830e-8f9a920545aa
p4373
sbNg8
(g9
g10
NtRp4374
(dp4375
g13
Nsg14
Nsg15
VRelative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2050)
p4376
sbNNg8
(g23
g10
NtRp4377
(dp4378
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4379
sbNNg8
(g9
g10
NtRp4380
(dp4381
g13
Nsg14
Nsg15
VShare of NUTS-2 area affected by a severe drought event for 2050.In this study, a severe drought event in the 2050s is defined as a 50-years drought event under baseline conditions that is expected to occur every 10 years in the future (2050s)
p4382
sbNNg8
(g9
g10
NtRp4383
(dp4384
g13
Nsg14
Nsg15
VFALSE
p4385
sbNNNg8
(g9
g10
NtRp4386
(dp4387
g13
Nsg14
Nsg15
VFALSE
p4388
sbNNg8
(g9
g10
NtRp4389
(dp4390
g13
Nsg14
Nsg15
VFALSE
p4391
sbNNg8
(g9
g10
NtRp4392
(dp4393
g13
Nsg14
Nsg15
VFALSE
p4394
sbNNg8
(g9
g10
NtRp4395
(dp4396
g13
Nsg14
Nsg15
VEPSG:4258
p4397
sbg8
(g9
g10
NtRp4398
(dp4399
g13
Nsg14
Nsg15
V2019-06-04
p4400
sbNNg8
(g9
g10
NtRp4401
(dp4402
g13
Nsg14
Nsg15
Vwater
p4403
sbNg8
(g9
g10
NtRp4404
(dp4405
g13
Nsg14
Nsg15
Vunknown
p4406
sbNNNg8
(g9
g10
NtRp4407
(dp4408
g13
Nsg14
Nsg15
VTo evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.
p4409
sbg8
(g9
g10
NtRp4410
(dp4411
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0ceebc6-da8a-4fa6-830e-8f9a920545aa
p4412
sbg8
(g9
g10
NtRp4413
(dp4414
g13
Nsg14
g74
sg15
V2041
p4415
sbg8
(g9
g10
NtRp4416
(dp4417
g13
Nsg14
g74
sg15
V2070
p4418
sbg8
(g9
g10
NtRp4419
(dp4420
g13
Nsg14
Nsg15
VTRUE
p4421
sbg8
(g9
g10
NtRp4422
(dp4423
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|droughts|water management
p4424
sbg8
(g9
g10
NtRp4425
(dp4426
g13
Nsg14
Nsg15
VNo conditions apply
p4427
sbg8
(g9
g10
NtRp4428
(dp4429
g13
Nsg14
Nsg15
VFALSE
p4430
sbNg8
(g9
g10
NtRp4431
(dp4432
g13
Nsg14
Nsg15
VFALSE
p4433
sbNNNNNNNg8
(g9
g10
NtRp4434
(dp4435
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4436
(dp4437
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4438
(dp4439
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4440
sbNg8
(g9
g10
NtRp4441
(dp4442
g13
Nsg14
Nsg15
Vcompleted
p4443
sbtp4444
a(g8
(g9
g10
NtRp4445
(dp4446
g13
Nsg14
Nsg15
V31ea524e-e8a1-4ec6-b86d-46762e2f244a
p4447
sbNg8
(g9
g10
NtRp4448
(dp4449
g13
Nsg14
Nsg15
VMaintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, EcF)
p4450
sbNNg8
(g23
g10
NtRp4451
(dp4452
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4453
sbNNg8
(g9
g10
NtRp4454
(dp4455
g13
Nsg14
Nsg15
VMaintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted =  residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95
p4456
sbNNg8
(g9
g10
NtRp4457
(dp4458
g13
Nsg14
Nsg15
VFALSE
p4459
sbNNNg8
(g9
g10
NtRp4460
(dp4461
g13
Nsg14
Nsg15
VFALSE
p4462
sbNNg8
(g9
g10
NtRp4463
(dp4464
g13
Nsg14
Nsg15
VFALSE
p4465
sbNNg8
(g9
g10
NtRp4466
(dp4467
g13
Nsg14
Nsg15
VFALSE
p4468
sbNNg8
(g9
g10
NtRp4469
(dp4470
g13
Nsg14
Nsg15
VEPSG:4258
p4471
sbg8
(g9
g10
NtRp4472
(dp4473
g13
Nsg14
Nsg15
V2019-06-04
p4474
sbNNg8
(g9
g10
NtRp4475
(dp4476
g13
Nsg14
Nsg15
Vwater
p4477
sbNg8
(g9
g10
NtRp4478
(dp4479
g13
Nsg14
Nsg15
Vunknown
p4480
sbNNNg8
(g9
g10
NtRp4481
(dp4482
g13
Nsg14
Nsg15
VNot available
p4483
sbg8
(g9
g10
NtRp4484
(dp4485
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31ea524e-e8a1-4ec6-b86d-46762e2f244a
p4486
sbg8
(g9
g10
NtRp4487
(dp4488
g13
Nsg14
g74
sg15
V2011
p4489
sbg8
(g9
g10
NtRp4490
(dp4491
g13
Nsg14
g74
sg15
V2040
p4492
sbg8
(g9
g10
NtRp4493
(dp4494
g13
Nsg14
Nsg15
VTRUE
p4495
sbg8
(g9
g10
NtRp4496
(dp4497
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p4498
sbg8
(g9
g10
NtRp4499
(dp4500
g13
Nsg14
Nsg15
VNo conditions apply
p4501
sbg8
(g9
g10
NtRp4502
(dp4503
g13
Nsg14
Nsg15
VFALSE
p4504
sbNg8
(g9
g10
NtRp4505
(dp4506
g13
Nsg14
Nsg15
VFALSE
p4507
sbNNNNNNNg8
(g9
g10
NtRp4508
(dp4509
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4510
(dp4511
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4512
(dp4513
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4514
sbNg8
(g9
g10
NtRp4515
(dp4516
g13
Nsg14
Nsg15
Vcompleted
p4517
sbtp4518
a(g8
(g9
g10
NtRp4519
(dp4520
g13
Nsg14
Nsg15
Vf177e851-07de-4625-a26c-38d3b0678375
p4521
sbNg8
(g9
g10
NtRp4522
(dp4523
g13
Nsg14
Nsg15
VRatio of irrigation water consumption to water availability (ClimWatAdapt project, baseline)
p4524
sbNNg8
(g23
g10
NtRp4525
(dp4526
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4527
sbNNg8
(g9
g10
NtRp4528
(dp4529
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4530
sbNNg8
(g9
g10
NtRp4531
(dp4532
g13
Nsg14
Nsg15
VFALSE
p4533
sbNNNg8
(g9
g10
NtRp4534
(dp4535
g13
Nsg14
Nsg15
VFALSE
p4536
sbNNg8
(g9
g10
NtRp4537
(dp4538
g13
Nsg14
Nsg15
VFALSE
p4539
sbNNg8
(g9
g10
NtRp4540
(dp4541
g13
Nsg14
Nsg15
VFALSE
p4542
sbNNg8
(g9
g10
NtRp4543
(dp4544
g13
Nsg14
Nsg15
VEPSG:4258
p4545
sbg8
(g9
g10
NtRp4546
(dp4547
g13
Nsg14
Nsg15
V2019-06-04
p4548
sbNNg8
(g9
g10
NtRp4549
(dp4550
g13
Nsg14
Nsg15
Vwater
p4551
sbNg8
(g9
g10
NtRp4552
(dp4553
g13
Nsg14
Nsg15
Vunknown
p4554
sbNNNg8
(g9
g10
NtRp4555
(dp4556
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p4557
sbg8
(g9
g10
NtRp4558
(dp4559
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f177e851-07de-4625-a26c-38d3b0678375
p4560
sbg8
(g9
g10
NtRp4561
(dp4562
g13
Nsg14
g74
sg15
V1961
p4563
sbg8
(g9
g10
NtRp4564
(dp4565
g13
Nsg14
g74
sg15
V1990
p4566
sbg8
(g9
g10
NtRp4567
(dp4568
g13
Nsg14
Nsg15
VTRUE
p4569
sbg8
(g9
g10
NtRp4570
(dp4571
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management
p4572
sbg8
(g9
g10
NtRp4573
(dp4574
g13
Nsg14
Nsg15
VNo conditions apply
p4575
sbg8
(g9
g10
NtRp4576
(dp4577
g13
Nsg14
Nsg15
VFALSE
p4578
sbNg8
(g9
g10
NtRp4579
(dp4580
g13
Nsg14
Nsg15
VFALSE
p4581
sbNNNNNNNg8
(g9
g10
NtRp4582
(dp4583
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4584
(dp4585
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4586
(dp4587
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4588
sbNg8
(g9
g10
NtRp4589
(dp4590
g13
Nsg14
Nsg15
Vcompleted
p4591
sbtp4592
a(g8
(g9
g10
NtRp4593
(dp4594
g13
Nsg14
Nsg15
Vc0f6cd29-5296-47d8-8593-dfbd0b95249c
p4595
sbNg8
(g9
g10
NtRp4596
(dp4597
g13
Nsg14
Nsg15
VWater stress, summer (ClimWatAdapt project, 2050, EcF)
p4598
sbNNg8
(g23
g10
NtRp4599
(dp4600
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4601
sbNNg8
(g9
g10
NtRp4602
(dp4603
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF). In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4604
sbNNg8
(g9
g10
NtRp4605
(dp4606
g13
Nsg14
Nsg15
VFALSE
p4607
sbNNNg8
(g9
g10
NtRp4608
(dp4609
g13
Nsg14
Nsg15
VFALSE
p4610
sbNNg8
(g9
g10
NtRp4611
(dp4612
g13
Nsg14
Nsg15
VFALSE
p4613
sbNNg8
(g9
g10
NtRp4614
(dp4615
g13
Nsg14
Nsg15
VFALSE
p4616
sbNNg8
(g9
g10
NtRp4617
(dp4618
g13
Nsg14
Nsg15
VEPSG:4258
p4619
sbg8
(g9
g10
NtRp4620
(dp4621
g13
Nsg14
Nsg15
V2019-06-04
p4622
sbNNg8
(g9
g10
NtRp4623
(dp4624
g13
Nsg14
Nsg15
Vwater
p4625
sbNg8
(g9
g10
NtRp4626
(dp4627
g13
Nsg14
Nsg15
Vunknown
p4628
sbNNNg8
(g9
g10
NtRp4629
(dp4630
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p4631
sbg8
(g9
g10
NtRp4632
(dp4633
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f6cd29-5296-47d8-8593-dfbd0b95249c
p4634
sbg8
(g9
g10
NtRp4635
(dp4636
g13
Nsg14
g74
sg15
V2041
p4637
sbg8
(g9
g10
NtRp4638
(dp4639
g13
Nsg14
g74
sg15
V2070
p4640
sbg8
(g9
g10
NtRp4641
(dp4642
g13
Nsg14
Nsg15
VTRUE
p4643
sbg8
(g9
g10
NtRp4644
(dp4645
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p4646
sbg8
(g9
g10
NtRp4647
(dp4648
g13
Nsg14
Nsg15
VNo conditions apply
p4649
sbg8
(g9
g10
NtRp4650
(dp4651
g13
Nsg14
Nsg15
VFALSE
p4652
sbNg8
(g9
g10
NtRp4653
(dp4654
g13
Nsg14
Nsg15
VFALSE
p4655
sbNNNNNNNg8
(g9
g10
NtRp4656
(dp4657
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4658
(dp4659
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4660
(dp4661
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4662
sbNg8
(g9
g10
NtRp4663
(dp4664
g13
Nsg14
Nsg15
Vcompleted
p4665
sbtp4666
a(g8
(g9
g10
NtRp4667
(dp4668
g13
Nsg14
Nsg15
V04048cab-5fdb-4dcf-9fd5-84704627fdfb
p4669
sbNg8
(g9
g10
NtRp4670
(dp4671
g13
Nsg14
Nsg15
VMaintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, EcF)
p4672
sbNNg8
(g23
g10
NtRp4673
(dp4674
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4675
sbNNg8
(g9
g10
NtRp4676
(dp4677
g13
Nsg14
Nsg15
VMaintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted =  residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95
p4678
sbNNg8
(g9
g10
NtRp4679
(dp4680
g13
Nsg14
Nsg15
VFALSE
p4681
sbNNNg8
(g9
g10
NtRp4682
(dp4683
g13
Nsg14
Nsg15
VFALSE
p4684
sbNNg8
(g9
g10
NtRp4685
(dp4686
g13
Nsg14
Nsg15
VFALSE
p4687
sbNNg8
(g9
g10
NtRp4688
(dp4689
g13
Nsg14
Nsg15
VFALSE
p4690
sbNNg8
(g9
g10
NtRp4691
(dp4692
g13
Nsg14
Nsg15
VEPSG:4258
p4693
sbg8
(g9
g10
NtRp4694
(dp4695
g13
Nsg14
Nsg15
V2019-06-04
p4696
sbNNg8
(g9
g10
NtRp4697
(dp4698
g13
Nsg14
Nsg15
Vwater
p4699
sbNg8
(g9
g10
NtRp4700
(dp4701
g13
Nsg14
Nsg15
Vunknown
p4702
sbNNNg8
(g9
g10
NtRp4703
(dp4704
g13
Nsg14
Nsg15
VNot available
p4705
sbg8
(g9
g10
NtRp4706
(dp4707
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/04048cab-5fdb-4dcf-9fd5-84704627fdfb
p4708
sbg8
(g9
g10
NtRp4709
(dp4710
g13
Nsg14
g74
sg15
V2041
p4711
sbg8
(g9
g10
NtRp4712
(dp4713
g13
Nsg14
g74
sg15
V2070
p4714
sbg8
(g9
g10
NtRp4715
(dp4716
g13
Nsg14
Nsg15
VTRUE
p4717
sbg8
(g9
g10
NtRp4718
(dp4719
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p4720
sbg8
(g9
g10
NtRp4721
(dp4722
g13
Nsg14
Nsg15
VNo conditions apply
p4723
sbg8
(g9
g10
NtRp4724
(dp4725
g13
Nsg14
Nsg15
VFALSE
p4726
sbNg8
(g9
g10
NtRp4727
(dp4728
g13
Nsg14
Nsg15
VFALSE
p4729
sbNNNNNNNg8
(g9
g10
NtRp4730
(dp4731
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4732
(dp4733
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4734
(dp4735
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4736
sbNg8
(g9
g10
NtRp4737
(dp4738
g13
Nsg14
Nsg15
Vcompleted
p4739
sbtp4740
a(g8
(g9
g10
NtRp4741
(dp4742
g13
Nsg14
Nsg15
V423f5f89-a415-4f03-bf98-54bc71c160fe
p4743
sbNg8
(g9
g10
NtRp4744
(dp4745
g13
Nsg14
Nsg15
VCooling water stress during low flow conditions (ClimWatAdapt project, 2025, EcF)
p4746
sbNNg8
(g23
g10
NtRp4747
(dp4748
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4749
sbNNg8
(g9
g10
NtRp4750
(dp4751
g13
Nsg14
Nsg15
VRatio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF).
p4752
sbNNg8
(g9
g10
NtRp4753
(dp4754
g13
Nsg14
Nsg15
VFALSE
p4755
sbNNNg8
(g9
g10
NtRp4756
(dp4757
g13
Nsg14
Nsg15
VFALSE
p4758
sbNNg8
(g9
g10
NtRp4759
(dp4760
g13
Nsg14
Nsg15
VFALSE
p4761
sbNNg8
(g9
g10
NtRp4762
(dp4763
g13
Nsg14
Nsg15
VFALSE
p4764
sbNNg8
(g9
g10
NtRp4765
(dp4766
g13
Nsg14
Nsg15
VEPSG:4258
p4767
sbg8
(g9
g10
NtRp4768
(dp4769
g13
Nsg14
Nsg15
V2019-06-04
p4770
sbNNg8
(g9
g10
NtRp4771
(dp4772
g13
Nsg14
Nsg15
Vwater
p4773
sbNg8
(g9
g10
NtRp4774
(dp4775
g13
Nsg14
Nsg15
Vunknown
p4776
sbNNNg8
(g9
g10
NtRp4777
(dp4778
g13
Nsg14
Nsg15
VNot available
p4779
sbg8
(g9
g10
NtRp4780
(dp4781
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/423f5f89-a415-4f03-bf98-54bc71c160fe
p4782
sbg8
(g9
g10
NtRp4783
(dp4784
g13
Nsg14
g74
sg15
V2011
p4785
sbg8
(g9
g10
NtRp4786
(dp4787
g13
Nsg14
g74
sg15
V2040
p4788
sbg8
(g9
g10
NtRp4789
(dp4790
g13
Nsg14
Nsg15
VTRUE
p4791
sbg8
(g9
g10
NtRp4792
(dp4793
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|water management
p4794
sbg8
(g9
g10
NtRp4795
(dp4796
g13
Nsg14
Nsg15
VNo conditions apply
p4797
sbg8
(g9
g10
NtRp4798
(dp4799
g13
Nsg14
Nsg15
VFALSE
p4800
sbNg8
(g9
g10
NtRp4801
(dp4802
g13
Nsg14
Nsg15
VFALSE
p4803
sbNNNNNNNg8
(g9
g10
NtRp4804
(dp4805
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4806
(dp4807
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4808
(dp4809
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4810
sbNg8
(g9
g10
NtRp4811
(dp4812
g13
Nsg14
Nsg15
Vcompleted
p4813
sbtp4814
a(g8
(g9
g10
NtRp4815
(dp4816
g13
Nsg14
Nsg15
V90c71a9b-603e-49ff-aecc-ff2f33c1aa78
p4817
sbNg8
(g9
g10
NtRp4818
(dp4819
g13
Nsg14
Nsg15
VAnnual average water stress (ClimWatAdapt project, 2025 EcF)
p4820
sbNNg8
(g23
g10
NtRp4821
(dp4822
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4823
sbNNg8
(g9
g10
NtRp4824
(dp4825
g13
Nsg14
Nsg15
VAnnual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).
p4826
sbNNg8
(g9
g10
NtRp4827
(dp4828
g13
Nsg14
Nsg15
VFALSE
p4829
sbNNNg8
(g9
g10
NtRp4830
(dp4831
g13
Nsg14
Nsg15
VFALSE
p4832
sbNNg8
(g9
g10
NtRp4833
(dp4834
g13
Nsg14
Nsg15
VFALSE
p4835
sbNNg8
(g9
g10
NtRp4836
(dp4837
g13
Nsg14
Nsg15
VFALSE
p4838
sbNNg8
(g9
g10
NtRp4839
(dp4840
g13
Nsg14
Nsg15
VEPSG:4258
p4841
sbg8
(g9
g10
NtRp4842
(dp4843
g13
Nsg14
Nsg15
V2019-06-04
p4844
sbNNg8
(g9
g10
NtRp4845
(dp4846
g13
Nsg14
Nsg15
Vwater
p4847
sbNg8
(g9
g10
NtRp4848
(dp4849
g13
Nsg14
Nsg15
Vunknown
p4850
sbNNNg8
(g9
g10
NtRp4851
(dp4852
g13
Nsg14
Nsg15
VThe water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).
p4853
sbg8
(g9
g10
NtRp4854
(dp4855
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/90c71a9b-603e-49ff-aecc-ff2f33c1aa78
p4856
sbg8
(g9
g10
NtRp4857
(dp4858
g13
Nsg14
g74
sg15
V2011
p4859
sbg8
(g9
g10
NtRp4860
(dp4861
g13
Nsg14
g74
sg15
V2040
p4862
sbg8
(g9
g10
NtRp4863
(dp4864
g13
Nsg14
Nsg15
VTRUE
p4865
sbg8
(g9
g10
NtRp4866
(dp4867
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p4868
sbg8
(g9
g10
NtRp4869
(dp4870
g13
Nsg14
Nsg15
VNo conditions apply
p4871
sbg8
(g9
g10
NtRp4872
(dp4873
g13
Nsg14
Nsg15
VFALSE
p4874
sbNg8
(g9
g10
NtRp4875
(dp4876
g13
Nsg14
Nsg15
VFALSE
p4877
sbNNNNNNNg8
(g9
g10
NtRp4878
(dp4879
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4880
(dp4881
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4882
(dp4883
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4884
sbNg8
(g9
g10
NtRp4885
(dp4886
g13
Nsg14
Nsg15
Vcompleted
p4887
sbtp4888
a(g8
(g9
g10
NtRp4889
(dp4890
g13
Nsg14
Nsg15
V72a091bf-274c-46ac-9903-dbb4d2f0c5ca
p4891
sbNg8
(g9
g10
NtRp4892
(dp4893
g13
Nsg14
Nsg15
VAnnual average water stress (ClimWatAdapt project, base line)
p4894
sbNNg8
(g23
g10
NtRp4895
(dp4896
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4897
sbNNg8
(g9
g10
NtRp4898
(dp4899
g13
Nsg14
Nsg15
VAnnual average water stress indicator WEI on river basin level for ClimWatAdapt baseline. A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).
p4900
sbNNg8
(g9
g10
NtRp4901
(dp4902
g13
Nsg14
Nsg15
VFALSE
p4903
sbNNNg8
(g9
g10
NtRp4904
(dp4905
g13
Nsg14
Nsg15
VFALSE
p4906
sbNNg8
(g9
g10
NtRp4907
(dp4908
g13
Nsg14
Nsg15
VFALSE
p4909
sbNNg8
(g9
g10
NtRp4910
(dp4911
g13
Nsg14
Nsg15
VFALSE
p4912
sbNNg8
(g9
g10
NtRp4913
(dp4914
g13
Nsg14
Nsg15
VEPSG:4258
p4915
sbg8
(g9
g10
NtRp4916
(dp4917
g13
Nsg14
Nsg15
V2019-06-04
p4918
sbNNg8
(g9
g10
NtRp4919
(dp4920
g13
Nsg14
Nsg15
Vwater
p4921
sbNg8
(g9
g10
NtRp4922
(dp4923
g13
Nsg14
Nsg15
Vunknown
p4924
sbNNNg8
(g9
g10
NtRp4925
(dp4926
g13
Nsg14
Nsg15
VThe water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).
p4927
sbg8
(g9
g10
NtRp4928
(dp4929
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72a091bf-274c-46ac-9903-dbb4d2f0c5ca
p4930
sbg8
(g9
g10
NtRp4931
(dp4932
g13
Nsg14
g74
sg15
V1961
p4933
sbg8
(g9
g10
NtRp4934
(dp4935
g13
Nsg14
g74
sg15
V1990
p4936
sbg8
(g9
g10
NtRp4937
(dp4938
g13
Nsg14
Nsg15
VTRUE
p4939
sbg8
(g9
g10
NtRp4940
(dp4941
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p4942
sbg8
(g9
g10
NtRp4943
(dp4944
g13
Nsg14
Nsg15
VNo conditions apply
p4945
sbg8
(g9
g10
NtRp4946
(dp4947
g13
Nsg14
Nsg15
VFALSE
p4948
sbNg8
(g9
g10
NtRp4949
(dp4950
g13
Nsg14
Nsg15
VFALSE
p4951
sbNNNNNNNg8
(g9
g10
NtRp4952
(dp4953
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp4954
(dp4955
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp4956
(dp4957
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p4958
sbNg8
(g9
g10
NtRp4959
(dp4960
g13
Nsg14
Nsg15
Vcompleted
p4961
sbtp4962
a(g8
(g9
g10
NtRp4963
(dp4964
g13
Nsg14
Nsg15
Vf60e9c30-e269-430a-807a-a49434bdf3ab
p4965
sbNg8
(g9
g10
NtRp4966
(dp4967
g13
Nsg14
Nsg15
VWater stress, summer (ClimWatAdapt project, base line)
p4968
sbNNg8
(g23
g10
NtRp4969
(dp4970
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p4971
sbNNg8
(g9
g10
NtRp4972
(dp4973
g13
Nsg14
Nsg15
VThe ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.
p4974
sbNNg8
(g9
g10
NtRp4975
(dp4976
g13
Nsg14
Nsg15
VFALSE
p4977
sbNNNg8
(g9
g10
NtRp4978
(dp4979
g13
Nsg14
Nsg15
VFALSE
p4980
sbNNg8
(g9
g10
NtRp4981
(dp4982
g13
Nsg14
Nsg15
VFALSE
p4983
sbNNg8
(g9
g10
NtRp4984
(dp4985
g13
Nsg14
Nsg15
VFALSE
p4986
sbNNg8
(g9
g10
NtRp4987
(dp4988
g13
Nsg14
Nsg15
VEPSG:4258
p4989
sbg8
(g9
g10
NtRp4990
(dp4991
g13
Nsg14
Nsg15
V2019-06-04
p4992
sbNNg8
(g9
g10
NtRp4993
(dp4994
g13
Nsg14
Nsg15
Vwater
p4995
sbNg8
(g9
g10
NtRp4996
(dp4997
g13
Nsg14
Nsg15
Vunknown
p4998
sbNNNg8
(g9
g10
NtRp4999
(dp5000
g13
Nsg14
Nsg15
VThe annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.
p5001
sbg8
(g9
g10
NtRp5002
(dp5003
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f60e9c30-e269-430a-807a-a49434bdf3ab
p5004
sbg8
(g9
g10
NtRp5005
(dp5006
g13
Nsg14
g74
sg15
V1961
p5007
sbg8
(g9
g10
NtRp5008
(dp5009
g13
Nsg14
g74
sg15
V1990
p5010
sbg8
(g9
g10
NtRp5011
(dp5012
g13
Nsg14
Nsg15
VTRUE
p5013
sbg8
(g9
g10
NtRp5014
(dp5015
g13
Nsg14
Nsg15
VAtmospheric conditions|ClimWatAdapt|WEI|water management|water stress
p5016
sbg8
(g9
g10
NtRp5017
(dp5018
g13
Nsg14
Nsg15
VNo conditions apply
p5019
sbg8
(g9
g10
NtRp5020
(dp5021
g13
Nsg14
Nsg15
VFALSE
p5022
sbNg8
(g9
g10
NtRp5023
(dp5024
g13
Nsg14
Nsg15
VFALSE
p5025
sbNNNNNNNg8
(g9
g10
NtRp5026
(dp5027
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5028
(dp5029
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5030
(dp5031
g13
Nsg14
Nsg15
V874ddad6f8afb1f8024d806b603d55c341e458db
p5032
sbNg8
(g9
g10
NtRp5033
(dp5034
g13
Nsg14
Nsg15
Vcompleted
p5035
sbtp5036
a(g8
(g9
g10
NtRp5037
(dp5038
g13
Nsg14
Nsg15
V717b42bc-2302-404d-b9c5-6efabf711dd5
p5039
sbNg8
(g9
g10
NtRp5040
(dp5041
g13
Nsg14
Nsg15
VPotential physical impact (ESPON Climate project)
p5042
sbNNg8
(g23
g10
NtRp5043
(dp5044
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5045
sbNNg8
(g9
g10
NtRp5046
(dp5047
g13
Nsg14
Nsg15
VCombined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5048
sbNNg8
(g9
g10
NtRp5049
(dp5050
g13
Nsg14
Nsg15
VFALSE
p5051
sbNNNg8
(g9
g10
NtRp5052
(dp5053
g13
Nsg14
Nsg15
VFALSE
p5054
sbNNg8
(g9
g10
NtRp5055
(dp5056
g13
Nsg14
Nsg15
VFALSE
p5057
sbNNg8
(g9
g10
NtRp5058
(dp5059
g13
Nsg14
Nsg15
VFALSE
p5060
sbNNNg8
(g9
g10
NtRp5061
(dp5062
g13
Nsg14
Nsg15
V2019-06-04
p5063
sbNNg8
(g9
g10
NtRp5064
(dp5065
g13
Nsg14
Nsg15
Vcoastal storm|inundation depth|river flood|sea level rise
p5066
sbNg8
(g9
g10
NtRp5067
(dp5068
g13
Nsg14
Nsg15
Vunknown
p5069
sbNNNg8
(g9
g10
NtRp5070
(dp5071
g13
Nsg14
Nsg15
VImpact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5072
sbg8
(g9
g10
NtRp5073
(dp5074
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/717b42bc-2302-404d-b9c5-6efabf711dd5
p5075
sbg8
(g9
g10
NtRp5076
(dp5077
g13
Nsg14
g74
sg15
V2071
p5078
sbg8
(g9
g10
NtRp5079
(dp5080
g13
Nsg14
g74
sg15
V2100
p5081
sbg8
(g9
g10
NtRp5082
(dp5083
g13
Nsg14
Nsg15
VTRUE
p5084
sbg8
(g9
g10
NtRp5085
(dp5086
g13
Nsg14
Nsg15
VAtmospheric conditions
p5087
sbg8
(g9
g10
NtRp5088
(dp5089
g13
Nsg14
Nsg15
VNo conditions apply
p5090
sbg8
(g9
g10
NtRp5091
(dp5092
g13
Nsg14
Nsg15
VFALSE
p5093
sbNg8
(g9
g10
NtRp5094
(dp5095
g13
Nsg14
Nsg15
VFALSE
p5096
sbNNNNNNNg8
(g9
g10
NtRp5097
(dp5098
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5099
(dp5100
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5101
(dp5102
g13
Nsg14
Nsg15
VC15BC717_CBE3_CF68_719E_F0606E8E6D88
p5103
sbNg8
(g9
g10
NtRp5104
(dp5105
g13
Nsg14
Nsg15
Vcompleted
p5106
sbtp5107
a(g8
(g9
g10
NtRp5108
(dp5109
g13
Nsg14
Nsg15
V4beb1475-7488-4fac-b82b-920600a8cf28
p5110
sbNg8
(g9
g10
NtRp5111
(dp5112
g13
Nsg14
Nsg15
VChange in regional exposure to river flooding between 1961-1990 and 2071-2100 (ESPON Climate project)
p5113
sbNNg8
(g23
g10
NtRp5114
(dp5115
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5116
sbNNg8
(g9
g10
NtRp5117
(dp5118
g13
Nsg14
Nsg15
VInundation depth changes due to climate induced changes in river flooding. Calculated by comparing the LISFLOOD model's 1961 - 1990 and 2071 - 2100 projections for a 100 year return event based on climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5119
sbNNg8
(g9
g10
NtRp5120
(dp5121
g13
Nsg14
Nsg15
VFALSE
p5122
sbNNNg8
(g9
g10
NtRp5123
(dp5124
g13
Nsg14
Nsg15
VFALSE
p5125
sbNNg8
(g9
g10
NtRp5126
(dp5127
g13
Nsg14
Nsg15
VFALSE
p5128
sbNNg8
(g9
g10
NtRp5129
(dp5130
g13
Nsg14
Nsg15
VFALSE
p5131
sbNNg8
(g9
g10
NtRp5132
(dp5133
g13
Nsg14
Nsg15
VEPSG:4258
p5134
sbg8
(g9
g10
NtRp5135
(dp5136
g13
Nsg14
Nsg15
V2019-06-04
p5137
sbNNNNg8
(g9
g10
NtRp5138
(dp5139
g13
Nsg14
Nsg15
Vunknown
p5140
sbNNNg8
(g9
g10
NtRp5141
(dp5142
g13
Nsg14
Nsg15
VCalculated by comparing the LISFLOOD model's 1961 - 1990 and 2071 - 2100 projections for a 100 year return event based on climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5143
sbg8
(g9
g10
NtRp5144
(dp5145
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4beb1475-7488-4fac-b82b-920600a8cf28
p5146
sbg8
(g9
g10
NtRp5147
(dp5148
g13
Nsg14
g74
sg15
V2071
p5149
sbg8
(g9
g10
NtRp5150
(dp5151
g13
Nsg14
g74
sg15
V2100
p5152
sbg8
(g9
g10
NtRp5153
(dp5154
g13
Nsg14
Nsg15
VTRUE
p5155
sbg8
(g9
g10
NtRp5156
(dp5157
g13
Nsg14
Nsg15
VAtmospheric conditions
p5158
sbg8
(g9
g10
NtRp5159
(dp5160
g13
Nsg14
Nsg15
VNo conditions apply
p5161
sbg8
(g9
g10
NtRp5162
(dp5163
g13
Nsg14
Nsg15
VFALSE
p5164
sbNg8
(g9
g10
NtRp5165
(dp5166
g13
Nsg14
Nsg15
VFALSE
p5167
sbNNNNNNNg8
(g9
g10
NtRp5168
(dp5169
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5170
(dp5171
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5172
(dp5173
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5174
sbNg8
(g9
g10
NtRp5175
(dp5176
g13
Nsg14
Nsg15
Vcompleted
p5177
sbtp5178
a(g8
(g9
g10
NtRp5179
(dp5180
g13
Nsg14
Nsg15
V34200209-d918-4dcd-a48e-dea86c6ff37a
p5181
sbNg8
(g9
g10
NtRp5182
(dp5183
g13
Nsg14
Nsg15
VChange in annual mean temperature between 1961-1990 and 2071-2100 (ESPON Climate project)
p5184
sbNNg8
(g23
g10
NtRp5185
(dp5186
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5187
sbNNg8
(g9
g10
NtRp5188
(dp5189
g13
Nsg14
Nsg15
VChange in annual mean temperature in 2 metres above surface. Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5190
sbNNg8
(g9
g10
NtRp5191
(dp5192
g13
Nsg14
Nsg15
VFALSE
p5193
sbNNNg8
(g9
g10
NtRp5194
(dp5195
g13
Nsg14
Nsg15
VFALSE
p5196
sbNNg8
(g9
g10
NtRp5197
(dp5198
g13
Nsg14
Nsg15
VFALSE
p5199
sbNNg8
(g9
g10
NtRp5200
(dp5201
g13
Nsg14
Nsg15
VFALSE
p5202
sbNNg8
(g9
g10
NtRp5203
(dp5204
g13
Nsg14
Nsg15
VEPSG:4258
p5205
sbg8
(g9
g10
NtRp5206
(dp5207
g13
Nsg14
Nsg15
V2019-06-04
p5208
sbNNNNg8
(g9
g10
NtRp5209
(dp5210
g13
Nsg14
Nsg15
Vunknown
p5211
sbNNNg8
(g9
g10
NtRp5212
(dp5213
g13
Nsg14
Nsg15
VClimatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5214
sbg8
(g9
g10
NtRp5215
(dp5216
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34200209-d918-4dcd-a48e-dea86c6ff37a
p5217
sbg8
(g9
g10
NtRp5218
(dp5219
g13
Nsg14
g74
sg15
V2071
p5220
sbg8
(g9
g10
NtRp5221
(dp5222
g13
Nsg14
g74
sg15
V2100
p5223
sbg8
(g9
g10
NtRp5224
(dp5225
g13
Nsg14
Nsg15
VTRUE
p5226
sbg8
(g9
g10
NtRp5227
(dp5228
g13
Nsg14
Nsg15
VAtmospheric conditions
p5229
sbg8
(g9
g10
NtRp5230
(dp5231
g13
Nsg14
Nsg15
VNo conditions apply
p5232
sbg8
(g9
g10
NtRp5233
(dp5234
g13
Nsg14
Nsg15
VFALSE
p5235
sbNg8
(g9
g10
NtRp5236
(dp5237
g13
Nsg14
Nsg15
VFALSE
p5238
sbNNNNNNNg8
(g9
g10
NtRp5239
(dp5240
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5241
(dp5242
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5243
(dp5244
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5245
sbNg8
(g9
g10
NtRp5246
(dp5247
g13
Nsg14
Nsg15
Vcompleted
p5248
sbtp5249
a(g8
(g9
g10
NtRp5250
(dp5251
g13
Nsg14
Nsg15
Vf440cef9-a466-42b6-9ead-e8d60fcf5226
p5252
sbNg8
(g9
g10
NtRp5253
(dp5254
g13
Nsg14
Nsg15
VChange in annual mean precipitation in summer months between 1961-1990 and 2071-2100 (ESPON Climate project)
p5255
sbNNg8
(g23
g10
NtRp5256
(dp5257
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5258
sbNNg8
(g9
g10
NtRp5259
(dp5260
g13
Nsg14
Nsg15
VRelative change in annual mean precipitation in meteorological summer months (June - August) Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5261
sbNNg8
(g9
g10
NtRp5262
(dp5263
g13
Nsg14
Nsg15
VFALSE
p5264
sbNNNg8
(g9
g10
NtRp5265
(dp5266
g13
Nsg14
Nsg15
VFALSE
p5267
sbNNg8
(g9
g10
NtRp5268
(dp5269
g13
Nsg14
Nsg15
VFALSE
p5270
sbNNg8
(g9
g10
NtRp5271
(dp5272
g13
Nsg14
Nsg15
VFALSE
p5273
sbNNg8
(g9
g10
NtRp5274
(dp5275
g13
Nsg14
Nsg15
VEPSG:4258
p5276
sbg8
(g9
g10
NtRp5277
(dp5278
g13
Nsg14
Nsg15
V2019-06-04
p5279
sbNNNNg8
(g9
g10
NtRp5280
(dp5281
g13
Nsg14
Nsg15
Vunknown
p5282
sbNNNg8
(g9
g10
NtRp5283
(dp5284
g13
Nsg14
Nsg15
VClimatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5285
sbg8
(g9
g10
NtRp5286
(dp5287
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f440cef9-a466-42b6-9ead-e8d60fcf5226
p5288
sbg8
(g9
g10
NtRp5289
(dp5290
g13
Nsg14
g74
sg15
V2071
p5291
sbg8
(g9
g10
NtRp5292
(dp5293
g13
Nsg14
g74
sg15
V2100
p5294
sbg8
(g9
g10
NtRp5295
(dp5296
g13
Nsg14
Nsg15
VTRUE
p5297
sbg8
(g9
g10
NtRp5298
(dp5299
g13
Nsg14
Nsg15
VAtmospheric conditions
p5300
sbg8
(g9
g10
NtRp5301
(dp5302
g13
Nsg14
Nsg15
VNo conditions apply
p5303
sbg8
(g9
g10
NtRp5304
(dp5305
g13
Nsg14
Nsg15
VFALSE
p5306
sbNg8
(g9
g10
NtRp5307
(dp5308
g13
Nsg14
Nsg15
VFALSE
p5309
sbNNNNNNNg8
(g9
g10
NtRp5310
(dp5311
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5312
(dp5313
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5314
(dp5315
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5316
sbNg8
(g9
g10
NtRp5317
(dp5318
g13
Nsg14
Nsg15
Vcompleted
p5319
sbtp5320
a(g8
(g9
g10
NtRp5321
(dp5322
g13
Nsg14
Nsg15
V7dadc7df-77bb-46b5-941c-335d96ba628b
p5323
sbNg8
(g9
g10
NtRp5324
(dp5325
g13
Nsg14
Nsg15
VChange in exposure to coastal flooding between 1961-1990 and 2071-2100 (ESPON Climate project)
p5326
sbNNg8
(g23
g10
NtRp5327
(dp5328
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5329
sbNNg8
(g9
g10
NtRp5330
(dp5331
g13
Nsg14
Nsg15
VInundation depth changes due to a sea level rise adjusted coastal storm surge event. Calculated on the basis of regional coastal storm surge heights projected by the DIVA model for a 100 year return event and heightened by a 1m sea level rise.
p5332
sbNNg8
(g9
g10
NtRp5333
(dp5334
g13
Nsg14
Nsg15
VFALSE
p5335
sbNNNg8
(g9
g10
NtRp5336
(dp5337
g13
Nsg14
Nsg15
VFALSE
p5338
sbNNg8
(g9
g10
NtRp5339
(dp5340
g13
Nsg14
Nsg15
VFALSE
p5341
sbNNg8
(g9
g10
NtRp5342
(dp5343
g13
Nsg14
Nsg15
VFALSE
p5344
sbNNg8
(g9
g10
NtRp5345
(dp5346
g13
Nsg14
Nsg15
VEPSG:4258
p5347
sbg8
(g9
g10
NtRp5348
(dp5349
g13
Nsg14
Nsg15
V2019-06-04
p5350
sbNNNNg8
(g9
g10
NtRp5351
(dp5352
g13
Nsg14
Nsg15
Vunknown
p5353
sbNNNg8
(g9
g10
NtRp5354
(dp5355
g13
Nsg14
Nsg15
Vnot available
p5356
sbg8
(g9
g10
NtRp5357
(dp5358
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7dadc7df-77bb-46b5-941c-335d96ba628b
p5359
sbg8
(g9
g10
NtRp5360
(dp5361
g13
Nsg14
g74
sg15
V2071
p5362
sbg8
(g9
g10
NtRp5363
(dp5364
g13
Nsg14
g74
sg15
V2100
p5365
sbg8
(g9
g10
NtRp5366
(dp5367
g13
Nsg14
Nsg15
VTRUE
p5368
sbg8
(g9
g10
NtRp5369
(dp5370
g13
Nsg14
Nsg15
VAtmospheric conditions
p5371
sbg8
(g9
g10
NtRp5372
(dp5373
g13
Nsg14
Nsg15
VNo conditions apply
p5374
sbg8
(g9
g10
NtRp5375
(dp5376
g13
Nsg14
Nsg15
VFALSE
p5377
sbNg8
(g9
g10
NtRp5378
(dp5379
g13
Nsg14
Nsg15
VFALSE
p5380
sbNNNNNNNg8
(g9
g10
NtRp5381
(dp5382
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5383
(dp5384
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5385
(dp5386
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5387
sbNg8
(g9
g10
NtRp5388
(dp5389
g13
Nsg14
Nsg15
Vcompleted
p5390
sbtp5391
a(g8
(g9
g10
NtRp5392
(dp5393
g13
Nsg14
Nsg15
V9886105b-73d4-4d94-ba2f-b4e2a6fc1f1c
p5394
sbNg8
(g9
g10
NtRp5395
(dp5396
g13
Nsg14
Nsg15
VChange in annual mean number of days with snow cover between 1961-1990 and 2071-2100 (ESPON Climate project)
p5397
sbNNg8
(g23
g10
NtRp5398
(dp5399
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5400
sbNNg8
(g9
g10
NtRp5401
(dp5402
g13
Nsg14
Nsg15
VChange in annual mean number of days with snow covering the surface in the reference area. Climatic changes derived from comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5403
sbNNg8
(g9
g10
NtRp5404
(dp5405
g13
Nsg14
Nsg15
VFALSE
p5406
sbNNNg8
(g9
g10
NtRp5407
(dp5408
g13
Nsg14
Nsg15
VFALSE
p5409
sbNNg8
(g9
g10
NtRp5410
(dp5411
g13
Nsg14
Nsg15
VFALSE
p5412
sbNNg8
(g9
g10
NtRp5413
(dp5414
g13
Nsg14
Nsg15
VFALSE
p5415
sbNNg8
(g9
g10
NtRp5416
(dp5417
g13
Nsg14
Nsg15
VEPSG:4258
p5418
sbg8
(g9
g10
NtRp5419
(dp5420
g13
Nsg14
Nsg15
V2019-06-04
p5421
sbNNNNg8
(g9
g10
NtRp5422
(dp5423
g13
Nsg14
Nsg15
Vunknown
p5424
sbNNNg8
(g9
g10
NtRp5425
(dp5426
g13
Nsg14
Nsg15
VClimatic changes derived from comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5427
sbg8
(g9
g10
NtRp5428
(dp5429
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9886105b-73d4-4d94-ba2f-b4e2a6fc1f1c
p5430
sbg8
(g9
g10
NtRp5431
(dp5432
g13
Nsg14
g74
sg15
V2071
p5433
sbg8
(g9
g10
NtRp5434
(dp5435
g13
Nsg14
g74
sg15
V2100
p5436
sbg8
(g9
g10
NtRp5437
(dp5438
g13
Nsg14
Nsg15
VTRUE
p5439
sbg8
(g9
g10
NtRp5440
(dp5441
g13
Nsg14
Nsg15
VAtmospheric conditions
p5442
sbg8
(g9
g10
NtRp5443
(dp5444
g13
Nsg14
Nsg15
VNo conditions apply
p5445
sbg8
(g9
g10
NtRp5446
(dp5447
g13
Nsg14
Nsg15
VFALSE
p5448
sbNg8
(g9
g10
NtRp5449
(dp5450
g13
Nsg14
Nsg15
VFALSE
p5451
sbNNNNNNNg8
(g9
g10
NtRp5452
(dp5453
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5454
(dp5455
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5456
(dp5457
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5458
sbNg8
(g9
g10
NtRp5459
(dp5460
g13
Nsg14
Nsg15
Vcompleted
p5461
sbtp5462
a(g8
(g9
g10
NtRp5463
(dp5464
g13
Nsg14
Nsg15
V390e4dc7-4195-46eb-bcae-846534d80929
p5465
sbNg8
(g9
g10
NtRp5466
(dp5467
g13
Nsg14
Nsg15
VChange in annual mean number of summer days between 1961-1990 and 2071-2100 (ESPON Climate project)
p5468
sbNNg8
(g23
g10
NtRp5469
(dp5470
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5471
sbNNg8
(g9
g10
NtRp5472
(dp5473
g13
Nsg14
Nsg15
VChange in annual mean number of summer days with maximum air temperature above 25 degrees Celcius. Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5474
sbNNg8
(g9
g10
NtRp5475
(dp5476
g13
Nsg14
Nsg15
VFALSE
p5477
sbNNNg8
(g9
g10
NtRp5478
(dp5479
g13
Nsg14
Nsg15
VFALSE
p5480
sbNNg8
(g9
g10
NtRp5481
(dp5482
g13
Nsg14
Nsg15
VFALSE
p5483
sbNNg8
(g9
g10
NtRp5484
(dp5485
g13
Nsg14
Nsg15
VFALSE
p5486
sbNNg8
(g9
g10
NtRp5487
(dp5488
g13
Nsg14
Nsg15
VEPSG:4258
p5489
sbg8
(g9
g10
NtRp5490
(dp5491
g13
Nsg14
Nsg15
V2019-06-04
p5492
sbNNNNg8
(g9
g10
NtRp5493
(dp5494
g13
Nsg14
Nsg15
Vunknown
p5495
sbNNNg8
(g9
g10
NtRp5496
(dp5497
g13
Nsg14
Nsg15
VClimatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5498
sbg8
(g9
g10
NtRp5499
(dp5500
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/390e4dc7-4195-46eb-bcae-846534d80929
p5501
sbg8
(g9
g10
NtRp5502
(dp5503
g13
Nsg14
g74
sg15
V2071
p5504
sbg8
(g9
g10
NtRp5505
(dp5506
g13
Nsg14
g74
sg15
V2100
p5507
sbg8
(g9
g10
NtRp5508
(dp5509
g13
Nsg14
Nsg15
VTRUE
p5510
sbg8
(g9
g10
NtRp5511
(dp5512
g13
Nsg14
Nsg15
VAtmospheric conditions
p5513
sbg8
(g9
g10
NtRp5514
(dp5515
g13
Nsg14
Nsg15
VNo conditions apply
p5516
sbg8
(g9
g10
NtRp5517
(dp5518
g13
Nsg14
Nsg15
VFALSE
p5519
sbNg8
(g9
g10
NtRp5520
(dp5521
g13
Nsg14
Nsg15
VFALSE
p5522
sbNNNNNNNg8
(g9
g10
NtRp5523
(dp5524
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5525
(dp5526
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5527
(dp5528
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5529
sbNg8
(g9
g10
NtRp5530
(dp5531
g13
Nsg14
Nsg15
Vcompleted
p5532
sbtp5533
a(g8
(g9
g10
NtRp5534
(dp5535
g13
Nsg14
Nsg15
V3abec868-7f3b-43ff-b6a6-1117f7b114f4
p5536
sbNg8
(g9
g10
NtRp5537
(dp5538
g13
Nsg14
Nsg15
VEuropean climate change regions (ESPON Climate project)
p5539
sbNNg8
(g23
g10
NtRp5540
(dp5541
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5542
sbNNg8
(g9
g10
NtRp5543
(dp5544
g13
Nsg14
Nsg15
VRegions with similar climate change characteristics. Climate change regions derived from a cluster analysis of eight climate change variables (change in annual mean temperature, summer days, frost days, snow cover days, winter precipitation, summer precipitation, heavy rainfall days and annual mean evaporation). Climatic Changes calculated on the basis of a comparison of 1961 - 1990 and 2071 - 2100 climate projections from the CCLM model for the IPCC SRES A1B scenario.
p5545
sbNNg8
(g9
g10
NtRp5546
(dp5547
g13
Nsg14
Nsg15
VFALSE
p5548
sbNNNg8
(g9
g10
NtRp5549
(dp5550
g13
Nsg14
Nsg15
VFALSE
p5551
sbNNg8
(g9
g10
NtRp5552
(dp5553
g13
Nsg14
Nsg15
VFALSE
p5554
sbNNg8
(g9
g10
NtRp5555
(dp5556
g13
Nsg14
Nsg15
VFALSE
p5557
sbNNg8
(g9
g10
NtRp5558
(dp5559
g13
Nsg14
Nsg15
VEPSG:4258
p5560
sbg8
(g9
g10
NtRp5561
(dp5562
g13
Nsg14
Nsg15
V2019-06-04
p5563
sbNNNNg8
(g9
g10
NtRp5564
(dp5565
g13
Nsg14
Nsg15
Vunknown
p5566
sbNNNg8
(g9
g10
NtRp5567
(dp5568
g13
Nsg14
Nsg15
VClimate change regions derived from a cluster analysis of eight climate change variables (change in annual mean temperature, summer days, frost days, snow cover days, winter precipitation, summer precipitation, heavy rainfall days and annual mean evaporation). Climatic Changes calculated on the basis of a comparison of 1961 - 1990 and 2071 - 2100 climate projections from the CCLM model for the IPCC SRES A1B scenario.
p5569
sbg8
(g9
g10
NtRp5570
(dp5571
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3abec868-7f3b-43ff-b6a6-1117f7b114f4
p5572
sbg8
(g9
g10
NtRp5573
(dp5574
g13
Nsg14
g74
sg15
V2071
p5575
sbg8
(g9
g10
NtRp5576
(dp5577
g13
Nsg14
g74
sg15
V2100
p5578
sbg8
(g9
g10
NtRp5579
(dp5580
g13
Nsg14
Nsg15
VTRUE
p5581
sbg8
(g9
g10
NtRp5582
(dp5583
g13
Nsg14
Nsg15
VAtmospheric conditions
p5584
sbg8
(g9
g10
NtRp5585
(dp5586
g13
Nsg14
Nsg15
VNo conditions apply
p5587
sbg8
(g9
g10
NtRp5588
(dp5589
g13
Nsg14
Nsg15
VFALSE
p5590
sbNg8
(g9
g10
NtRp5591
(dp5592
g13
Nsg14
Nsg15
VFALSE
p5593
sbNNNNNNNg8
(g9
g10
NtRp5594
(dp5595
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5596
(dp5597
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5598
(dp5599
g13
Nsg14
Nsg15
Ve6fe540a76d09ce4acff2346a810e09c00f6cb74
p5600
sbNg8
(g9
g10
NtRp5601
(dp5602
g13
Nsg14
Nsg15
Vcompleted
p5603
sbtp5604
a(g8
(g9
g10
NtRp5605
(dp5606
g13
Nsg14
Nsg15
V3eab7abb-9645-431e-8039-bb8f9ef67417
p5607
sbNg8
(g9
g10
NtRp5608
(dp5609
g13
Nsg14
Nsg15
VPotential cultural impact (ESPON climate project)
p5610
sbNNg8
(g23
g10
NtRp5611
(dp5612
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5613
sbNNg8
(g9
g10
NtRp5614
(dp5615
g13
Nsg14
Nsg15
VCombined potential impacts of changes in inundation depths of a 100 year river flood event and a sea level rise adjusted 100 year coastal storm surge event on registered World Heritage sites and museums. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Fluvial inundation depths changes calculated by  comparing 1961-1990 and 207102100 projections of the LISFLOOD model based on climate projections by the CCLM model for the IPCC SRES A1B scenario. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5616
sbNNg8
(g9
g10
NtRp5617
(dp5618
g13
Nsg14
Nsg15
VFALSE
p5619
sbNNNg8
(g9
g10
NtRp5620
(dp5621
g13
Nsg14
Nsg15
VFALSE
p5622
sbNNg8
(g9
g10
NtRp5623
(dp5624
g13
Nsg14
Nsg15
VFALSE
p5625
sbNNg8
(g9
g10
NtRp5626
(dp5627
g13
Nsg14
Nsg15
VFALSE
p5628
sbNNNg8
(g9
g10
NtRp5629
(dp5630
g13
Nsg14
Nsg15
V2019-06-04
p5631
sbNNNNg8
(g9
g10
NtRp5632
(dp5633
g13
Nsg14
Nsg15
Vunknown
p5634
sbNNNg8
(g9
g10
NtRp5635
(dp5636
g13
Nsg14
Nsg15
VImpact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Fluvial inundation depths changes calculated by  comparing 1961-1990 and 207102100 projections of the LISFLOOD model based on climate projections by the CCLM model for the IPCC SRES A1B scenario. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5637
sbg8
(g9
g10
NtRp5638
(dp5639
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3eab7abb-9645-431e-8039-bb8f9ef67417
p5640
sbg8
(g9
g10
NtRp5641
(dp5642
g13
Nsg14
g74
sg15
V2071
p5643
sbg8
(g9
g10
NtRp5644
(dp5645
g13
Nsg14
g74
sg15
V2100
p5646
sbg8
(g9
g10
NtRp5647
(dp5648
g13
Nsg14
Nsg15
VTRUE
p5649
sbg8
(g9
g10
NtRp5650
(dp5651
g13
Nsg14
Nsg15
VAtmospheric conditions
p5652
sbg8
(g9
g10
NtRp5653
(dp5654
g13
Nsg14
Nsg15
VNo conditions apply
p5655
sbg8
(g9
g10
NtRp5656
(dp5657
g13
Nsg14
Nsg15
VFALSE
p5658
sbNg8
(g9
g10
NtRp5659
(dp5660
g13
Nsg14
Nsg15
VFALSE
p5661
sbNNNNNNNg8
(g9
g10
NtRp5662
(dp5663
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5664
(dp5665
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5666
(dp5667
g13
Nsg14
Nsg15
V350BCE5A_1F18_CBF7_5B0F_8750A1E61393
p5668
sbNg8
(g9
g10
NtRp5669
(dp5670
g13
Nsg14
Nsg15
Vcompleted
p5671
sbtp5672
a(g8
(g9
g10
NtRp5673
(dp5674
g13
Nsg14
Nsg15
V7331db55-cecf-48a1-bad3-6e0d404bb2b8
p5675
sbNg8
(g9
g10
NtRp5676
(dp5677
g13
Nsg14
Nsg15
VImpact of summer heat on 2100 population (ESPON Climate project)
p5678
sbNNg8
(g23
g10
NtRp5679
(dp5680
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5681
sbNNg8
(g9
g10
NtRp5682
(dp5683
g13
Nsg14
Nsg15
VImpacts of changes in summer days above 25oC on heat sensitive population in urban heat islands, using DEMIFER population projections for the year 2100. Impacts calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5684
sbNNg8
(g9
g10
NtRp5685
(dp5686
g13
Nsg14
Nsg15
VFALSE
p5687
sbNNNg8
(g9
g10
NtRp5688
(dp5689
g13
Nsg14
Nsg15
VFALSE
p5690
sbNNg8
(g9
g10
NtRp5691
(dp5692
g13
Nsg14
Nsg15
VFALSE
p5693
sbNNg8
(g9
g10
NtRp5694
(dp5695
g13
Nsg14
Nsg15
VFALSE
p5696
sbNNNg8
(g9
g10
NtRp5697
(dp5698
g13
Nsg14
Nsg15
V2019-06-04
p5699
sbNNNNg8
(g9
g10
NtRp5700
(dp5701
g13
Nsg14
Nsg15
Vunknown
p5702
sbNNNg8
(g9
g10
NtRp5703
(dp5704
g13
Nsg14
Nsg15
VImpacts calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Using DEMIFER population projections for the year 2100
p5705
sbg8
(g9
g10
NtRp5706
(dp5707
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7331db55-cecf-48a1-bad3-6e0d404bb2b8
p5708
sbg8
(g9
g10
NtRp5709
(dp5710
g13
Nsg14
g74
sg15
V2071
p5711
sbg8
(g9
g10
NtRp5712
(dp5713
g13
Nsg14
g74
sg15
V2100
p5714
sbg8
(g9
g10
NtRp5715
(dp5716
g13
Nsg14
Nsg15
VTRUE
p5717
sbg8
(g9
g10
NtRp5718
(dp5719
g13
Nsg14
Nsg15
VAtmospheric conditions
p5720
sbg8
(g9
g10
NtRp5721
(dp5722
g13
Nsg14
Nsg15
VNo conditions apply
p5723
sbg8
(g9
g10
NtRp5724
(dp5725
g13
Nsg14
Nsg15
VFALSE
p5726
sbNg8
(g9
g10
NtRp5727
(dp5728
g13
Nsg14
Nsg15
VFALSE
p5729
sbNNNNNNNg8
(g9
g10
NtRp5730
(dp5731
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5732
(dp5733
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5734
(dp5735
g13
Nsg14
Nsg15
VF3EA8F39_4130_9364_B2BA_37052BA3D3A6
p5736
sbNg8
(g9
g10
NtRp5737
(dp5738
g13
Nsg14
Nsg15
Vcompleted
p5739
sbtp5740
a(g8
(g9
g10
NtRp5741
(dp5742
g13
Nsg14
Nsg15
V96d86a62-6532-47ef-910e-14546c450064
p5743
sbNg8
(g9
g10
NtRp5744
(dp5745
g13
Nsg14
Nsg15
VPotential economic impact (ESPON Climate project)
p5746
sbNNg8
(g23
g10
NtRp5747
(dp5748
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5749
sbNNg8
(g9
g10
NtRp5750
(dp5751
g13
Nsg14
Nsg15
VCombined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5752
sbNNg8
(g9
g10
NtRp5753
(dp5754
g13
Nsg14
Nsg15
VFALSE
p5755
sbNNNg8
(g9
g10
NtRp5756
(dp5757
g13
Nsg14
Nsg15
VFALSE
p5758
sbNNg8
(g9
g10
NtRp5759
(dp5760
g13
Nsg14
Nsg15
VFALSE
p5761
sbNNg8
(g9
g10
NtRp5762
(dp5763
g13
Nsg14
Nsg15
VFALSE
p5764
sbNNNg8
(g9
g10
NtRp5765
(dp5766
g13
Nsg14
Nsg15
V2019-06-04
p5767
sbNNNNg8
(g9
g10
NtRp5768
(dp5769
g13
Nsg14
Nsg15
Vunknown
p5770
sbNNNg8
(g9
g10
NtRp5771
(dp5772
g13
Nsg14
Nsg15
VImpact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5773
sbg8
(g9
g10
NtRp5774
(dp5775
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/96d86a62-6532-47ef-910e-14546c450064
p5776
sbg8
(g9
g10
NtRp5777
(dp5778
g13
Nsg14
g74
sg15
V2071
p5779
sbg8
(g9
g10
NtRp5780
(dp5781
g13
Nsg14
g74
sg15
V2100
p5782
sbg8
(g9
g10
NtRp5783
(dp5784
g13
Nsg14
Nsg15
VTRUE
p5785
sbg8
(g9
g10
NtRp5786
(dp5787
g13
Nsg14
Nsg15
VAtmospheric conditions
p5788
sbg8
(g9
g10
NtRp5789
(dp5790
g13
Nsg14
Nsg15
VNo conditions apply
p5791
sbg8
(g9
g10
NtRp5792
(dp5793
g13
Nsg14
Nsg15
VFALSE
p5794
sbNg8
(g9
g10
NtRp5795
(dp5796
g13
Nsg14
Nsg15
VFALSE
p5797
sbNNNNNNNg8
(g9
g10
NtRp5798
(dp5799
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5800
(dp5801
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5802
(dp5803
g13
Nsg14
Nsg15
VE590A1D6_B4D9_FF48_FD22_05E93F521730
p5804
sbNg8
(g9
g10
NtRp5805
(dp5806
g13
Nsg14
Nsg15
Vcompleted
p5807
sbtp5808
a(g8
(g9
g10
NtRp5809
(dp5810
g13
Nsg14
Nsg15
Veab43e93-477a-4846-9d22-c2a6cf4a0981
p5811
sbNg8
(g9
g10
NtRp5812
(dp5813
g13
Nsg14
Nsg15
VPotential vulnerability of European regions to climate change (ESPON Climate project)
p5814
sbNNg8
(g23
g10
NtRp5815
(dp5816
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5817
sbNNg8
(g9
g10
NtRp5818
(dp5819
g13
Nsg14
Nsg15
VVulnerability calculated as the combination of regional potential impacts of climate change and regional capacity to adapt to climate change. The potential impacts were calculated as a combination of regional exposure to climate change (difference between 1961-1990 and 2071-2100 climate projections of eight climatic variables of the CCLM model for the IPCC SRES A1B scenario as well as the resulting inundation depth changes for a 100 year return flood event based on river flooding projections of the LSFLOOD model and coastal storm surge =height projections of the DIVA model adjusted with a 1 m sea level rise and most recent data on the weighted dimensions of physical, economic, social, environmental and cultural sensitivity to climate change. Adaptive capacity was calculated as a weighted combination of most recent data on economic, infrastructural, technological and institutional capacity as well as knowledge and awareness of climate change.
p5820
sbNNg8
(g9
g10
NtRp5821
(dp5822
g13
Nsg14
Nsg15
VFALSE
p5823
sbNNNg8
(g9
g10
NtRp5824
(dp5825
g13
Nsg14
Nsg15
VFALSE
p5826
sbNNg8
(g9
g10
NtRp5827
(dp5828
g13
Nsg14
Nsg15
VFALSE
p5829
sbNNg8
(g9
g10
NtRp5830
(dp5831
g13
Nsg14
Nsg15
VFALSE
p5832
sbNNNg8
(g9
g10
NtRp5833
(dp5834
g13
Nsg14
Nsg15
V2019-06-04
p5835
sbNNNNg8
(g9
g10
NtRp5836
(dp5837
g13
Nsg14
Nsg15
Vunknown
p5838
sbNNNg8
(g9
g10
NtRp5839
(dp5840
g13
Nsg14
Nsg15
VVulnerability calculated as the combination of regional potential impacts of climate change and regional capacity to adapt to climate change. The potential impacts were calculated as a combination of regional exposure to climate change (difference between 1961-1990 and 2071-2100 climate projections of eight climatic variables of the CCLM model for the IPCC SRES A1B scenario as well as the resulting inundation depth changes for a 100 year return flood event based on river flooding projections of the LSFLOOD model and coastal storm surge =height projections of the DIVA model adjusted with a 1 m sea level rise and most recent data on the weighted dimensions of physical, economic, social, environmental and cultural sensitivity to climate change. Adaptive capacity was calculated as a weighted combination of most recent data on economic, infrastructural, technological and institutional capacity as well as knowledge and awareness of climate change.
p5841
sbg8
(g9
g10
NtRp5842
(dp5843
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eab43e93-477a-4846-9d22-c2a6cf4a0981
p5844
sbg8
(g9
g10
NtRp5845
(dp5846
g13
Nsg14
g74
sg15
V2071
p5847
sbg8
(g9
g10
NtRp5848
(dp5849
g13
Nsg14
g74
sg15
V2100
p5850
sbg8
(g9
g10
NtRp5851
(dp5852
g13
Nsg14
Nsg15
VTRUE
p5853
sbg8
(g9
g10
NtRp5854
(dp5855
g13
Nsg14
Nsg15
VAtmospheric conditions
p5856
sbg8
(g9
g10
NtRp5857
(dp5858
g13
Nsg14
Nsg15
VNo conditions apply
p5859
sbg8
(g9
g10
NtRp5860
(dp5861
g13
Nsg14
Nsg15
VFALSE
p5862
sbNg8
(g9
g10
NtRp5863
(dp5864
g13
Nsg14
Nsg15
VFALSE
p5865
sbNNNNNNNg8
(g9
g10
NtRp5866
(dp5867
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5868
(dp5869
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5870
(dp5871
g13
Nsg14
Nsg15
VE849CB99_5FC0_5869_0C4C_0E64FE1FD7DA
p5872
sbNg8
(g9
g10
NtRp5873
(dp5874
g13
Nsg14
Nsg15
Vcompleted
p5875
sbtp5876
a(g8
(g9
g10
NtRp5877
(dp5878
g13
Nsg14
Nsg15
Va365c693-823a-459a-9598-d105bdff9635
p5879
sbNg8
(g9
g10
NtRp5880
(dp5881
g13
Nsg14
Nsg15
VPotential social impact (ESPON Climate project)
p5882
sbNNg8
(g23
g10
NtRp5883
(dp5884
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5885
sbNNg8
(g9
g10
NtRp5886
(dp5887
g13
Nsg14
Nsg15
VCombined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5888
sbNNg8
(g9
g10
NtRp5889
(dp5890
g13
Nsg14
Nsg15
VFALSE
p5891
sbNNNg8
(g9
g10
NtRp5892
(dp5893
g13
Nsg14
Nsg15
VFALSE
p5894
sbNNg8
(g9
g10
NtRp5895
(dp5896
g13
Nsg14
Nsg15
VFALSE
p5897
sbNNg8
(g9
g10
NtRp5898
(dp5899
g13
Nsg14
Nsg15
VFALSE
p5900
sbNNNg8
(g9
g10
NtRp5901
(dp5902
g13
Nsg14
Nsg15
V2019-06-04
p5903
sbNNNNg8
(g9
g10
NtRp5904
(dp5905
g13
Nsg14
Nsg15
Vunknown
p5906
sbNNNg8
(g9
g10
NtRp5907
(dp5908
g13
Nsg14
Nsg15
VImpact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.
p5909
sbg8
(g9
g10
NtRp5910
(dp5911
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a365c693-823a-459a-9598-d105bdff9635
p5912
sbg8
(g9
g10
NtRp5913
(dp5914
g13
Nsg14
g74
sg15
V2071
p5915
sbg8
(g9
g10
NtRp5916
(dp5917
g13
Nsg14
g74
sg15
V2100
p5918
sbg8
(g9
g10
NtRp5919
(dp5920
g13
Nsg14
Nsg15
VTRUE
p5921
sbg8
(g9
g10
NtRp5922
(dp5923
g13
Nsg14
Nsg15
VAtmospheric conditions
p5924
sbg8
(g9
g10
NtRp5925
(dp5926
g13
Nsg14
Nsg15
VNo conditions apply
p5927
sbg8
(g9
g10
NtRp5928
(dp5929
g13
Nsg14
Nsg15
VFALSE
p5930
sbNg8
(g9
g10
NtRp5931
(dp5932
g13
Nsg14
Nsg15
VFALSE
p5933
sbNNNNNNNg8
(g9
g10
NtRp5934
(dp5935
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp5936
(dp5937
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp5938
(dp5939
g13
Nsg14
Nsg15
V26F778F4_6299_A518_521B_AB54E1D8055A
p5940
sbNg8
(g9
g10
NtRp5941
(dp5942
g13
Nsg14
Nsg15
Vcompleted
p5943
sbtp5944
a(g8
(g9
g10
NtRp5945
(dp5946
g13
Nsg14
Nsg15
V1685dda7-62e8-44e4-9795-f2cc6de831e7
p5947
sbNg8
(g9
g10
NtRp5948
(dp5949
g13
Nsg14
Nsg15
VAggregate potential impact of climate change (ESPON Climate project)
p5950
sbNNg8
(g23
g10
NtRp5951
(dp5952
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p5953
sbNNg8
(g9
g10
NtRp5954
(dp5955
g13
Nsg14
Nsg15
VWeighted combination of physical (weight 0.19), environmental (weight 0.31), economic (weight 0.24) and cultural (weight 0.1) potential impacts of climate change. Weights are based on a Delphi survey of the ESPON Monitoring Committee. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5956
sbNNg8
(g9
g10
NtRp5957
(dp5958
g13
Nsg14
Nsg15
VFALSE
p5959
sbNNNg8
(g9
g10
NtRp5960
(dp5961
g13
Nsg14
Nsg15
VFALSE
p5962
sbNNg8
(g9
g10
NtRp5963
(dp5964
g13
Nsg14
Nsg15
VFALSE
p5965
sbNNg8
(g9
g10
NtRp5966
(dp5967
g13
Nsg14
Nsg15
VFALSE
p5968
sbNNNg8
(g9
g10
NtRp5969
(dp5970
g13
Nsg14
Nsg15
V2019-06-04
p5971
sbNNNNg8
(g9
g10
NtRp5972
(dp5973
g13
Nsg14
Nsg15
Vunknown
p5974
sbNNNg8
(g9
g10
NtRp5975
(dp5976
g13
Nsg14
Nsg15
VWeighted combination of physical (weight 0.19), environmental (weight 0.31), economic (weight 0.24) and cultural (weight 0.1) potential impacts of climate change. Weights are based on a Delphi survey of the ESPON Monitoring Committee. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p5977
sbg8
(g9
g10
NtRp5978
(dp5979
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1685dda7-62e8-44e4-9795-f2cc6de831e7
p5980
sbg8
(g9
g10
NtRp5981
(dp5982
g13
Nsg14
g74
sg15
V2071
p5983
sbg8
(g9
g10
NtRp5984
(dp5985
g13
Nsg14
g74
sg15
V2100
p5986
sbg8
(g9
g10
NtRp5987
(dp5988
g13
Nsg14
Nsg15
VTRUE
p5989
sbg8
(g9
g10
NtRp5990
(dp5991
g13
Nsg14
Nsg15
VAtmospheric conditions
p5992
sbg8
(g9
g10
NtRp5993
(dp5994
g13
Nsg14
Nsg15
VNo conditions apply
p5995
sbg8
(g9
g10
NtRp5996
(dp5997
g13
Nsg14
Nsg15
VFALSE
p5998
sbNg8
(g9
g10
NtRp5999
(dp6000
g13
Nsg14
Nsg15
VFALSE
p6001
sbNNNNNNNg8
(g9
g10
NtRp6002
(dp6003
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6004
(dp6005
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6006
(dp6007
g13
Nsg14
Nsg15
V42E99B5D_EC16_2C90_275A_214BCC031CC6
p6008
sbNg8
(g9
g10
NtRp6009
(dp6010
g13
Nsg14
Nsg15
Vcompleted
p6011
sbtp6012
a(g8
(g9
g10
NtRp6013
(dp6014
g13
Nsg14
Nsg15
Vf3169f77-e4f5-4b38-948f-fe5acdb6cfa4
p6015
sbNg8
(g9
g10
NtRp6016
(dp6017
g13
Nsg14
Nsg15
VPotential environmental impact (ESPON Climate project)
p6018
sbNNg8
(g23
g10
NtRp6019
(dp6020
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6021
sbNNg8
(g9
g10
NtRp6022
(dp6023
g13
Nsg14
Nsg15
VCombined potential impacts of changes in summer and winter precipitation, heavy rainfall days, annual mean temperature, summer days, frost days, snow cover days and annual mean evaporation on soil erosion, soil organic content, protected natural areas and forest fire sensitivity. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p6024
sbNNg8
(g9
g10
NtRp6025
(dp6026
g13
Nsg14
Nsg15
VFALSE
p6027
sbNNNg8
(g9
g10
NtRp6028
(dp6029
g13
Nsg14
Nsg15
VFALSE
p6030
sbNNg8
(g9
g10
NtRp6031
(dp6032
g13
Nsg14
Nsg15
VFALSE
p6033
sbNNg8
(g9
g10
NtRp6034
(dp6035
g13
Nsg14
Nsg15
VFALSE
p6036
sbNNNg8
(g9
g10
NtRp6037
(dp6038
g13
Nsg14
Nsg15
V2019-06-04
p6039
sbNNNNg8
(g9
g10
NtRp6040
(dp6041
g13
Nsg14
Nsg15
Vunknown
p6042
sbNNNg8
(g9
g10
NtRp6043
(dp6044
g13
Nsg14
Nsg15
VImpact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.
p6045
sbg8
(g9
g10
NtRp6046
(dp6047
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f3169f77-e4f5-4b38-948f-fe5acdb6cfa4
p6048
sbg8
(g9
g10
NtRp6049
(dp6050
g13
Nsg14
g74
sg15
V2071
p6051
sbg8
(g9
g10
NtRp6052
(dp6053
g13
Nsg14
g74
sg15
V2100
p6054
sbg8
(g9
g10
NtRp6055
(dp6056
g13
Nsg14
Nsg15
VTRUE
p6057
sbg8
(g9
g10
NtRp6058
(dp6059
g13
Nsg14
Nsg15
VAtmospheric conditions
p6060
sbg8
(g9
g10
NtRp6061
(dp6062
g13
Nsg14
Nsg15
VNo conditions apply
p6063
sbg8
(g9
g10
NtRp6064
(dp6065
g13
Nsg14
Nsg15
VFALSE
p6066
sbNg8
(g9
g10
NtRp6067
(dp6068
g13
Nsg14
Nsg15
VFALSE
p6069
sbNNNNNNNg8
(g9
g10
NtRp6070
(dp6071
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6072
(dp6073
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6074
(dp6075
g13
Nsg14
Nsg15
VFCBBBFDA_1036_D80B_1051_A0A9BA56FF00
p6076
sbNg8
(g9
g10
NtRp6077
(dp6078
g13
Nsg14
Nsg15
Vcompleted
p6079
sbtp6080
a(g8
(g9
g10
NtRp6081
(dp6082
g13
Nsg14
Nsg15
V08a617bb-1ee9-4543-acee-20ec980fcbd6
p6083
sbNg8
(g9
g10
NtRp6084
(dp6085
g13
Nsg14
Nsg15
VResponse capacity of European regions in regard to climate (ESPON Climate project)
p6086
sbNNg8
(g23
g10
NtRp6087
(dp6088
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6089
sbNNg8
(g9
g10
NtRp6090
(dp6091
g13
Nsg14
Nsg15
VA total of 15 indicators was used to calculate the adaptive capacity index, while 10 indicators were used for the mitigative capacity index. The indices are calculated as weighted averages of normalized indicator values.
p6092
sbNNg8
(g9
g10
NtRp6093
(dp6094
g13
Nsg14
Nsg15
VFALSE
p6095
sbNNNg8
(g9
g10
NtRp6096
(dp6097
g13
Nsg14
Nsg15
VFALSE
p6098
sbNNg8
(g9
g10
NtRp6099
(dp6100
g13
Nsg14
Nsg15
VFALSE
p6101
sbNNg8
(g9
g10
NtRp6102
(dp6103
g13
Nsg14
Nsg15
VFALSE
p6104
sbNNNg8
(g9
g10
NtRp6105
(dp6106
g13
Nsg14
Nsg15
V2019-06-04
p6107
sbNNNNg8
(g9
g10
NtRp6108
(dp6109
g13
Nsg14
Nsg15
Vunknown
p6110
sbNNNg8
(g9
g10
NtRp6111
(dp6112
g13
Nsg14
Nsg15
VA total of 15 indicators was used to calculate the adaptive capacity index, while 10 indicators were used for the mitigative capacity index. The indices are calculated as weighted averages of normalized indicator values.
p6113
sbg8
(g9
g10
NtRp6114
(dp6115
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08a617bb-1ee9-4543-acee-20ec980fcbd6
p6116
sbNNg8
(g9
g10
NtRp6117
(dp6118
g13
Nsg14
Nsg15
VFALSE
p6119
sbg8
(g9
g10
NtRp6120
(dp6121
g13
Nsg14
Nsg15
VAtmospheric conditions
p6122
sbg8
(g9
g10
NtRp6123
(dp6124
g13
Nsg14
Nsg15
VNo conditions apply
p6125
sbg8
(g9
g10
NtRp6126
(dp6127
g13
Nsg14
Nsg15
VFALSE
p6128
sbNg8
(g9
g10
NtRp6129
(dp6130
g13
Nsg14
Nsg15
VFALSE
p6131
sbNNNNNNNg8
(g9
g10
NtRp6132
(dp6133
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6134
(dp6135
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6136
(dp6137
g13
Nsg14
Nsg15
V4FDD2BC6_F7CE_9B81_11E7_CE5B91BE89BD
p6138
sbNg8
(g9
g10
NtRp6139
(dp6140
g13
Nsg14
Nsg15
Vcompleted
p6141
sbtp6142
a(g8
(g9
g10
NtRp6143
(dp6144
g13
Nsg14
Nsg15
V5e5147d5-6789-4d40-8f5a-0953b48c3661
p6145
sbNg8
(g9
g10
NtRp6146
(dp6147
g13
Nsg14
Nsg15
VEconomic sensitivity (ESPON Climate project)
p6148
sbNNg8
(g23
g10
NtRp6149
(dp6150
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6151
sbNNg8
(g9
g10
NtRp6152
(dp6153
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.
p6154
sbNNg8
(g9
g10
NtRp6155
(dp6156
g13
Nsg14
Nsg15
VFALSE
p6157
sbNNNg8
(g9
g10
NtRp6158
(dp6159
g13
Nsg14
Nsg15
VFALSE
p6160
sbNNg8
(g9
g10
NtRp6161
(dp6162
g13
Nsg14
Nsg15
VFALSE
p6163
sbNNg8
(g9
g10
NtRp6164
(dp6165
g13
Nsg14
Nsg15
VFALSE
p6166
sbNNNg8
(g9
g10
NtRp6167
(dp6168
g13
Nsg14
Nsg15
V2019-06-04
p6169
sbNNNNg8
(g9
g10
NtRp6170
(dp6171
g13
Nsg14
Nsg15
Vunknown
p6172
sbNNNg8
(g9
g10
NtRp6173
(dp6174
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.
p6175
sbg8
(g9
g10
NtRp6176
(dp6177
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e5147d5-6789-4d40-8f5a-0953b48c3661
p6178
sbNNg8
(g9
g10
NtRp6179
(dp6180
g13
Nsg14
Nsg15
VFALSE
p6181
sbg8
(g9
g10
NtRp6182
(dp6183
g13
Nsg14
Nsg15
VAtmospheric conditions
p6184
sbg8
(g9
g10
NtRp6185
(dp6186
g13
Nsg14
Nsg15
VNo conditions apply
p6187
sbg8
(g9
g10
NtRp6188
(dp6189
g13
Nsg14
Nsg15
VFALSE
p6190
sbNg8
(g9
g10
NtRp6191
(dp6192
g13
Nsg14
Nsg15
VFALSE
p6193
sbNNNNNNNg8
(g9
g10
NtRp6194
(dp6195
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6196
(dp6197
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6198
(dp6199
g13
Nsg14
Nsg15
V853ED59F_63E6_F5AF_EA47_892B2F51EA30
p6200
sbNg8
(g9
g10
NtRp6201
(dp6202
g13
Nsg14
Nsg15
Vcompleted
p6203
sbtp6204
a(g8
(g9
g10
NtRp6205
(dp6206
g13
Nsg14
Nsg15
Vc0f4f7f9-9ccd-4e81-b486-245d0b1799b6
p6207
sbNg8
(g9
g10
NtRp6208
(dp6209
g13
Nsg14
Nsg15
VEnvironmental sensitivity (ESPON Climate project)
p6210
sbNNg8
(g23
g10
NtRp6211
(dp6212
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6213
sbNNg8
(g9
g10
NtRp6214
(dp6215
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.
p6216
sbNNg8
(g9
g10
NtRp6217
(dp6218
g13
Nsg14
Nsg15
VFALSE
p6219
sbNNNg8
(g9
g10
NtRp6220
(dp6221
g13
Nsg14
Nsg15
VFALSE
p6222
sbNNg8
(g9
g10
NtRp6223
(dp6224
g13
Nsg14
Nsg15
VFALSE
p6225
sbNNg8
(g9
g10
NtRp6226
(dp6227
g13
Nsg14
Nsg15
VFALSE
p6228
sbNNNg8
(g9
g10
NtRp6229
(dp6230
g13
Nsg14
Nsg15
V2019-06-04
p6231
sbNNNNg8
(g9
g10
NtRp6232
(dp6233
g13
Nsg14
Nsg15
Vunknown
p6234
sbNNNg8
(g9
g10
NtRp6235
(dp6236
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.
p6237
sbg8
(g9
g10
NtRp6238
(dp6239
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f4f7f9-9ccd-4e81-b486-245d0b1799b6
p6240
sbNNg8
(g9
g10
NtRp6241
(dp6242
g13
Nsg14
Nsg15
VFALSE
p6243
sbg8
(g9
g10
NtRp6244
(dp6245
g13
Nsg14
Nsg15
VAtmospheric conditions
p6246
sbg8
(g9
g10
NtRp6247
(dp6248
g13
Nsg14
Nsg15
VNo conditions apply
p6249
sbg8
(g9
g10
NtRp6250
(dp6251
g13
Nsg14
Nsg15
VFALSE
p6252
sbNg8
(g9
g10
NtRp6253
(dp6254
g13
Nsg14
Nsg15
VFALSE
p6255
sbNNNNNNNg8
(g9
g10
NtRp6256
(dp6257
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6258
(dp6259
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6260
(dp6261
g13
Nsg14
Nsg15
V1A463B87_EF04_D7DA_ABFB_935EF875C8C5
p6262
sbNg8
(g9
g10
NtRp6263
(dp6264
g13
Nsg14
Nsg15
Vcompleted
p6265
sbtp6266
a(g8
(g9
g10
NtRp6267
(dp6268
g13
Nsg14
Nsg15
V1ab879a3-c785-431b-85fc-2200db6b78d3
p6269
sbNg8
(g9
g10
NtRp6270
(dp6271
g13
Nsg14
Nsg15
VSocial sensitivity (ESPON Climate project)
p6272
sbNNg8
(g23
g10
NtRp6273
(dp6274
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6275
sbNNg8
(g9
g10
NtRp6276
(dp6277
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of population in river flooding prone areas, in coastal storm surge prone areas, population prone to flash floods and heat sensitive population in urban heat islands. Regional sensitivities calculated on the basis of most recent statistical data.
p6278
sbNNg8
(g9
g10
NtRp6279
(dp6280
g13
Nsg14
Nsg15
VFALSE
p6281
sbNNNg8
(g9
g10
NtRp6282
(dp6283
g13
Nsg14
Nsg15
VFALSE
p6284
sbNNg8
(g9
g10
NtRp6285
(dp6286
g13
Nsg14
Nsg15
VFALSE
p6287
sbNNg8
(g9
g10
NtRp6288
(dp6289
g13
Nsg14
Nsg15
VFALSE
p6290
sbNNNg8
(g9
g10
NtRp6291
(dp6292
g13
Nsg14
Nsg15
V2019-06-04
p6293
sbNNNNg8
(g9
g10
NtRp6294
(dp6295
g13
Nsg14
Nsg15
Vunknown
p6296
sbNNNg8
(g9
g10
NtRp6297
(dp6298
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of population in river flooding prone areas, in coastal storm surge prone areas, population prone to flash floods and heat sensitive population in urban heat islands. Regional sensitivities calculated on the basis of most recent statistical data.
p6299
sbg8
(g9
g10
NtRp6300
(dp6301
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1ab879a3-c785-431b-85fc-2200db6b78d3
p6302
sbNNg8
(g9
g10
NtRp6303
(dp6304
g13
Nsg14
Nsg15
VFALSE
p6305
sbg8
(g9
g10
NtRp6306
(dp6307
g13
Nsg14
Nsg15
VAtmospheric conditions
p6308
sbg8
(g9
g10
NtRp6309
(dp6310
g13
Nsg14
Nsg15
VNo conditions apply
p6311
sbg8
(g9
g10
NtRp6312
(dp6313
g13
Nsg14
Nsg15
VFALSE
p6314
sbNg8
(g9
g10
NtRp6315
(dp6316
g13
Nsg14
Nsg15
VFALSE
p6317
sbNNNNNNNg8
(g9
g10
NtRp6318
(dp6319
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6320
(dp6321
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6322
(dp6323
g13
Nsg14
Nsg15
VC19E403A_F216_844D_A5A4_E3AF8ADA45CD
p6324
sbNg8
(g9
g10
NtRp6325
(dp6326
g13
Nsg14
Nsg15
Vcompleted
p6327
sbtp6328
a(g8
(g9
g10
NtRp6329
(dp6330
g13
Nsg14
Nsg15
V4613fcb7-6b71-40b7-abcb-19188c44ae37
p6331
sbNg8
(g9
g10
NtRp6332
(dp6333
g13
Nsg14
Nsg15
VPhysical sensitivity (ESPON Climate project)
p6334
sbNNg8
(g23
g10
NtRp6335
(dp6336
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6337
sbNNg8
(g9
g10
NtRp6338
(dp6339
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of settlements, major roads, railways, airports, harbours, thermal power stations and refineries. Regional sensitivities calculated on the basis of most recent statistical data.
p6340
sbNNg8
(g9
g10
NtRp6341
(dp6342
g13
Nsg14
Nsg15
VFALSE
p6343
sbNNNg8
(g9
g10
NtRp6344
(dp6345
g13
Nsg14
Nsg15
VFALSE
p6346
sbNNg8
(g9
g10
NtRp6347
(dp6348
g13
Nsg14
Nsg15
VFALSE
p6349
sbNNg8
(g9
g10
NtRp6350
(dp6351
g13
Nsg14
Nsg15
VFALSE
p6352
sbNNNg8
(g9
g10
NtRp6353
(dp6354
g13
Nsg14
Nsg15
V2019-06-04
p6355
sbNNNNg8
(g9
g10
NtRp6356
(dp6357
g13
Nsg14
Nsg15
Vunknown
p6358
sbNNNg8
(g9
g10
NtRp6359
(dp6360
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of settlements, major roads, railways, airports, harbours, thermal power stations and refineries. Regional sensitivities calculated on the basis of most recent statistical data.
p6361
sbg8
(g9
g10
NtRp6362
(dp6363
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4613fcb7-6b71-40b7-abcb-19188c44ae37
p6364
sbNNg8
(g9
g10
NtRp6365
(dp6366
g13
Nsg14
Nsg15
VFALSE
p6367
sbg8
(g9
g10
NtRp6368
(dp6369
g13
Nsg14
Nsg15
VAtmospheric conditions
p6370
sbg8
(g9
g10
NtRp6371
(dp6372
g13
Nsg14
Nsg15
VNo conditions apply
p6373
sbg8
(g9
g10
NtRp6374
(dp6375
g13
Nsg14
Nsg15
VFALSE
p6376
sbNg8
(g9
g10
NtRp6377
(dp6378
g13
Nsg14
Nsg15
VFALSE
p6379
sbNNNNNNNg8
(g9
g10
NtRp6380
(dp6381
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6382
(dp6383
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6384
(dp6385
g13
Nsg14
Nsg15
V96E4060C_3DB3_0B0E_8AED_70CBA7F7BD5B
p6386
sbNg8
(g9
g10
NtRp6387
(dp6388
g13
Nsg14
Nsg15
Vcompleted
p6389
sbtp6390
a(g8
(g9
g10
NtRp6391
(dp6392
g13
Nsg14
Nsg15
V230df202-bc0a-4a04-b768-ed975cb8face
p6393
sbNg8
(g9
g10
NtRp6394
(dp6395
g13
Nsg14
Nsg15
VCultural sensitivity (ESPON Climate project)
p6396
sbNNg8
(g23
g10
NtRp6397
(dp6398
g15
Vhttp://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&
p6399
sbNNg8
(g9
g10
NtRp6400
(dp6401
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of cultural World Heritage sites and museums. Regional sensitivities calculated on the basis of most recent statistical data.
p6402
sbNNg8
(g9
g10
NtRp6403
(dp6404
g13
Nsg14
Nsg15
VFALSE
p6405
sbNNNg8
(g9
g10
NtRp6406
(dp6407
g13
Nsg14
Nsg15
VFALSE
p6408
sbNNg8
(g9
g10
NtRp6409
(dp6410
g13
Nsg14
Nsg15
VFALSE
p6411
sbNNg8
(g9
g10
NtRp6412
(dp6413
g13
Nsg14
Nsg15
VFALSE
p6414
sbNNNg8
(g9
g10
NtRp6415
(dp6416
g13
Nsg14
Nsg15
V2019-06-04
p6417
sbNNNNg8
(g9
g10
NtRp6418
(dp6419
g13
Nsg14
Nsg15
Vunknown
p6420
sbNNNg8
(g9
g10
NtRp6421
(dp6422
g13
Nsg14
Nsg15
VCombined sensitivity to climate change of cultural World Heritage sites and museums. Regional sensitivities calculated on the basis of most recent statistical data.
p6423
sbg8
(g9
g10
NtRp6424
(dp6425
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/230df202-bc0a-4a04-b768-ed975cb8face
p6426
sbNNg8
(g9
g10
NtRp6427
(dp6428
g13
Nsg14
Nsg15
VFALSE
p6429
sbg8
(g9
g10
NtRp6430
(dp6431
g13
Nsg14
Nsg15
VAtmospheric conditions
p6432
sbg8
(g9
g10
NtRp6433
(dp6434
g13
Nsg14
Nsg15
VNo conditions apply
p6435
sbg8
(g9
g10
NtRp6436
(dp6437
g13
Nsg14
Nsg15
VFALSE
p6438
sbNg8
(g9
g10
NtRp6439
(dp6440
g13
Nsg14
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VThe criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]  A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive.\u000a\u000aThis dataset is a polygon usable as a water-land mask.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
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VThe criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]  A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive.\u000a\u000aThis dataset consists of one single line for the whole coastline.
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Vhttps://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6060e5ce-6958-48a0-9815-8f806c807351.png
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
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VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
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VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
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VIn 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.
p6752
sbg8
(g9
g10
NtRp6753
(dp6754
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a
p6755
sbNNg8
(g9
g10
NtRp6756
(dp6757
g13
Nsg14
Nsg15
VFALSE
p6758
sbg8
(g9
g10
NtRp6759
(dp6760
g13
Nsg14
Nsg15
VBosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Estonia|Montenegro|Slovenia|Sweden|the North Macedonia
p6761
sbg8
(g9
g10
NtRp6762
(dp6763
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
p6764
sbg8
(g9
g10
NtRp6765
(dp6766
g13
Nsg14
Nsg15
VFALSE
p6767
sbg8
(g9
g10
NtRp6768
(dp6769
g13
Nsg14
Nsg15
VEuropean Environment Agency
p6770
sbg8
(g9
g10
NtRp6771
(dp6772
g13
Nsg14
Nsg15
VFALSE
p6773
sbNNNNNNNg8
(g9
g10
NtRp6774
(dp6775
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6776
(dp6777
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6778
(dp6779
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-point-public_2012_rev11
p6780
sbNg8
(g9
g10
NtRp6781
(dp6782
g13
Nsg14
Nsg15
Vsuperseded
p6783
sbtp6784
a(g8
(g9
g10
NtRp6785
(dp6786
g13
Nsg14
Nsg15
Vd4a7f8c7-40b5-4ebd-ac1c-a282e3af949e
p6787
sbNg8
(g9
g10
NtRp6788
(dp6789
g13
Nsg14
Nsg15
VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.2, Sep. 2018
p6790
sbNNNNNg8
(g9
g10
NtRp6791
(dp6792
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aFor the relevant concepts please consult the metadata of the relevant child datasets.
p6793
sbNNg8
(g9
g10
NtRp6794
(dp6795
g13
Nsg14
Nsg15
VFALSE
p6796
sbNNNg8
(g9
g10
NtRp6797
(dp6798
g13
Nsg14
Nsg15
VFALSE
p6799
sbNNg8
(g9
g10
NtRp6800
(dp6801
g13
Nsg14
Nsg15
VFALSE
p6802
sbNNg8
(g9
g10
NtRp6803
(dp6804
g13
Nsg14
Nsg15
VFALSE
p6805
sbNg8
(g9
g10
NtRp6806
(dp6807
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e.png
p6808
sbg8
(g9
g10
NtRp6809
(dp6810
g13
Nsg14
Nsg15
VEPSG:4326
p6811
sbg8
(g9
g10
NtRp6812
(dp6813
g13
Nsg14
Nsg15
V2019-06-04
p6814
sbNg8
(g9
g10
NtRp6815
(dp6816
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
p6817
sbg8
(g9
g10
NtRp6818
(dp6819
g13
Nsg14
Nsg15
Vaquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management
p6820
sbg8
(g9
g10
NtRp6821
(dp6822
g13
Nsg14
Nsg15
Vvector
p6823
sbg8
(g9
g10
NtRp6824
(dp6825
g13
Nsg14
Nsg15
VSHP|Spatialite
p6826
sbNg8
(g9
g10
NtRp6827
(dp6828
g13
Nsg14
Nsg15
V1:250000
p6829
sbNg8
(g9
g10
NtRp6830
(dp6831
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
p6832
sbg8
(g9
g10
NtRp6833
(dp6834
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e
p6835
sbNNg8
(g9
g10
NtRp6836
(dp6837
g13
Nsg14
Nsg15
VFALSE
p6838
sbg8
(g9
g10
NtRp6839
(dp6840
g13
Nsg14
Nsg15
VEU28|Norway
p6841
sbg8
(g9
g10
NtRp6842
(dp6843
g13
Nsg14
Nsg15
VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.
p6844
sbg8
(g9
g10
NtRp6845
(dp6846
g13
Nsg14
Nsg15
VFALSE
p6847
sbg8
(g9
g10
NtRp6848
(dp6849
g13
Nsg14
Nsg15
VEuropean Environment Agency
p6850
sbg8
(g9
g10
NtRp6851
(dp6852
g13
Nsg14
Nsg15
VFALSE
p6853
sbNNNNNNNg8
(g9
g10
NtRp6854
(dp6855
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6856
(dp6857
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6858
(dp6859
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-wfd2010_i_2010-2018_v01_r02
p6860
sbNg8
(g9
g10
NtRp6861
(dp6862
g13
Nsg14
Nsg15
Vsuperseded
p6863
sbtp6864
a(g8
(g9
g10
NtRp6865
(dp6866
g13
Nsg14
Nsg15
Vce876c49-e1c8-446c-9133-ff04c17d2417
p6867
sbNg8
(g9
g10
NtRp6868
(dp6869
g13
Nsg14
Nsg15
VEEA coastline for analysis (raw) - version 2.0, Jun. 2015
p6870
sbNNNNNg8
(g9
g10
NtRp6871
(dp6872
g13
Nsg14
Nsg15
VThe EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).
p6873
sbNNg8
(g9
g10
NtRp6874
(dp6875
g13
Nsg14
Nsg15
VFALSE
p6876
sbNNNg8
(g9
g10
NtRp6877
(dp6878
g13
Nsg14
Nsg15
VFALSE
p6879
sbNNg8
(g9
g10
NtRp6880
(dp6881
g13
Nsg14
Nsg15
VFALSE
p6882
sbNNg8
(g9
g10
NtRp6883
(dp6884
g13
Nsg14
Nsg15
VFALSE
p6885
sbNg8
(g9
g10
NtRp6886
(dp6887
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce876c49-e1c8-446c-9133-ff04c17d2417.png
p6888
sbg8
(g9
g10
NtRp6889
(dp6890
g13
Nsg14
Nsg15
VEPSG:3035
p6891
sbg8
(g9
g10
NtRp6892
(dp6893
g13
Nsg14
Nsg15
V2019-06-04
p6894
sbNg8
(g9
g10
NtRp6895
(dp6896
g13
Nsg14
Nsg15
VSea regions
p6897
sbg8
(g9
g10
NtRp6898
(dp6899
g13
Nsg14
Nsg15
Vcoast
p6900
sbg8
(g9
g10
NtRp6901
(dp6902
g13
Nsg14
Nsg15
Vvector
p6903
sbg8
(g9
g10
NtRp6904
(dp6905
g13
Nsg14
Nsg15
VSHP
p6906
sbNg8
(g9
g10
NtRp6907
(dp6908
g13
Nsg14
Nsg15
V1:100000
p6909
sbNg8
(g9
g10
NtRp6910
(dp6911
g13
Nsg14
Nsg15
VThe EEA coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).
p6912
sbg8
(g9
g10
NtRp6913
(dp6914
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce876c49-e1c8-446c-9133-ff04c17d2417
p6915
sbNNg8
(g9
g10
NtRp6916
(dp6917
g13
Nsg14
Nsg15
VFALSE
p6918
sbg8
(g9
g10
NtRp6919
(dp6920
g13
Nsg14
Nsg15
VEurope
p6921
sbg8
(g9
g10
NtRp6922
(dp6923
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p6924
sbg8
(g9
g10
NtRp6925
(dp6926
g13
Nsg14
Nsg15
VFALSE
p6927
sbg8
(g9
g10
NtRp6928
(dp6929
g13
Nsg14
Nsg15
VEuropean Environment Agency
p6930
sbg8
(g9
g10
NtRp6931
(dp6932
g13
Nsg14
Nsg15
VFALSE
p6933
sbNNNNNNNg8
(g9
g10
NtRp6934
(dp6935
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp6936
(dp6937
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp6938
(dp6939
g13
Nsg14
Nsg15
Veea_v_3035_100_k_coastline-anal-raw_1995-2012_rev02
p6940
sbNg8
(g9
g10
NtRp6941
(dp6942
g13
Nsg14
Nsg15
Vsuperseded
p6943
sbtp6944
a(g8
(g9
g10
NtRp6945
(dp6946
g13
Nsg14
Nsg15
V1c0f429b-debb-403c-a457-3eebcf5d3272
p6947
sbNg8
(g9
g10
NtRp6948
(dp6949
g13
Nsg14
Nsg15
VCDDA polygons for internal use - version 11, Jul. 2013
p6950
sbNNNNNg8
(g9
g10
NtRp6951
(dp6952
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
p6953
sbNNg8
(g9
g10
NtRp6954
(dp6955
g13
Nsg14
Nsg15
VFALSE
p6956
sbNNNg8
(g9
g10
NtRp6957
(dp6958
g13
Nsg14
Nsg15
VFALSE
p6959
sbNNg8
(g9
g10
NtRp6960
(dp6961
g13
Nsg14
Nsg15
VFALSE
p6962
sbNNg8
(g9
g10
NtRp6963
(dp6964
g13
Nsg14
Nsg15
VFALSE
p6965
sbNg8
(g9
g10
NtRp6966
(dp6967
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c0f429b-debb-403c-a457-3eebcf5d3272.png
p6968
sbg8
(g9
g10
NtRp6969
(dp6970
g13
Nsg14
Nsg15
VEPSG:3035
p6971
sbg8
(g9
g10
NtRp6972
(dp6973
g13
Nsg14
Nsg15
V2019-06-04
p6974
sbNg8
(g9
g10
NtRp6975
(dp6976
g13
Nsg14
Nsg15
VProtected sites
p6977
sbg8
(g9
g10
NtRp6978
(dp6979
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p6980
sbg8
(g9
g10
NtRp6981
(dp6982
g13
Nsg14
Nsg15
Vvector
p6983
sbg8
(g9
g10
NtRp6984
(dp6985
g13
Nsg14
Nsg15
VSHP|SQLite
p6986
sbNg8
(g9
g10
NtRp6987
(dp6988
g13
Nsg14
Nsg15
V1:100000
p6989
sbNg8
(g9
g10
NtRp6990
(dp6991
g13
Nsg14
Nsg15
VIn 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.
p6992
sbg8
(g9
g10
NtRp6993
(dp6994
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c0f429b-debb-403c-a457-3eebcf5d3272
p6995
sbNNg8
(g9
g10
NtRp6996
(dp6997
g13
Nsg14
Nsg15
VFALSE
p6998
sbg8
(g9
g10
NtRp6999
(dp7000
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia
p7001
sbg8
(g9
g10
NtRp7002
(dp7003
g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
p7004
sbg8
(g9
g10
NtRp7005
(dp7006
g13
Nsg14
Nsg15
VFALSE
p7007
sbg8
(g9
g10
NtRp7008
(dp7009
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7010
sbg8
(g9
g10
NtRp7011
(dp7012
g13
Nsg14
Nsg15
VFALSE
p7013
sbNNNNNNNg8
(g9
g10
NtRp7014
(dp7015
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7016
(dp7017
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7018
(dp7019
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2012_rev11
p7020
sbNg8
(g9
g10
NtRp7021
(dp7022
g13
Nsg14
Nsg15
Vsuperseded
p7023
sbtp7024
a(g8
(g9
g10
NtRp7025
(dp7026
g13
Nsg14
Nsg15
Vc8d83fff-d35e-4bed-9afd-92e40ebe09d4
p7027
sbNg8
(g9
g10
NtRp7028
(dp7029
g13
Nsg14
Nsg15
VWISE WFD monitoring sites reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017
p7030
sbNNNNNg8
(g9
g10
NtRp7031
(dp7032
g13
Nsg14
Nsg15
VThe dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts:\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\u000aSurface water body:  Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.
p7033
sbNNg8
(g9
g10
NtRp7034
(dp7035
g13
Nsg14
Nsg15
VFALSE
p7036
sbNNNg8
(g9
g10
NtRp7037
(dp7038
g13
Nsg14
Nsg15
VFALSE
p7039
sbNNg8
(g9
g10
NtRp7040
(dp7041
g13
Nsg14
Nsg15
VFALSE
p7042
sbNNg8
(g9
g10
NtRp7043
(dp7044
g13
Nsg14
Nsg15
VFALSE
p7045
sbNg8
(g9
g10
NtRp7046
(dp7047
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c8d83fff-d35e-4bed-9afd-92e40ebe09d4.png
p7048
sbg8
(g9
g10
NtRp7049
(dp7050
g13
Nsg14
Nsg15
VEPSG:4326
p7051
sbg8
(g9
g10
NtRp7052
(dp7053
g13
Nsg14
Nsg15
V2019-06-04
p7054
sbNg8
(g9
g10
NtRp7055
(dp7056
g13
Nsg14
Nsg15
VEnvironmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body
p7057
sbg8
(g9
g10
NtRp7058
(dp7059
g13
Nsg14
Nsg15
Vgroundwater|monitoring station|surface water|water resources management
p7060
sbg8
(g9
g10
NtRp7061
(dp7062
g13
Nsg14
Nsg15
Vvector
p7063
sbg8
(g9
g10
NtRp7064
(dp7065
g13
Nsg14
Nsg15
VSHP|Spatialite
p7066
sbNg8
(g9
g10
NtRp7067
(dp7068
g13
Nsg14
Nsg15
V1:250000
p7069
sbNg8
(g9
g10
NtRp7070
(dp7071
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p7072
sbg8
(g9
g10
NtRp7073
(dp7074
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c8d83fff-d35e-4bed-9afd-92e40ebe09d4
p7075
sbNNg8
(g9
g10
NtRp7076
(dp7077
g13
Nsg14
Nsg15
VFALSE
p7078
sbg8
(g9
g10
NtRp7079
(dp7080
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7081
sbg8
(g9
g10
NtRp7082
(dp7083
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p7084
sbg8
(g9
g10
NtRp7085
(dp7086
g13
Nsg14
Nsg15
VFALSE
p7087
sbg8
(g9
g10
NtRp7088
(dp7089
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7090
sbg8
(g9
g10
NtRp7091
(dp7092
g13
Nsg14
Nsg15
VFALSE
p7093
sbNNNNNNNg8
(g9
g10
NtRp7094
(dp7095
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7096
(dp7097
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7098
(dp7099
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-monitoring-sites-wfd2016-public_20160505-20170629_rev1
p7100
sbNg8
(g9
g10
NtRp7101
(dp7102
g13
Nsg14
Nsg15
Vsuperseded
p7103
sbtp7104
a(g8
(g9
g10
NtRp7105
(dp7106
g13
Nsg14
Nsg15
V3f046d90-bfdc-4801-b514-a00c48981e0e
p7107
sbNg8
(g9
g10
NtRp7108
(dp7109
g13
Nsg14
Nsg15
VWISE WFD surface water bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017
p7110
sbNNNNNg8
(g9
g10
NtRp7111
(dp7112
g13
Nsg14
Nsg15
VThe dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000aLake: Body of standing inland surface water. \u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.
p7113
sbNNg8
(g9
g10
NtRp7114
(dp7115
g13
Nsg14
Nsg15
VFALSE
p7116
sbNNNg8
(g9
g10
NtRp7117
(dp7118
g13
Nsg14
Nsg15
VFALSE
p7119
sbNNg8
(g9
g10
NtRp7120
(dp7121
g13
Nsg14
Nsg15
VFALSE
p7122
sbNNg8
(g9
g10
NtRp7123
(dp7124
g13
Nsg14
Nsg15
VFALSE
p7125
sbNg8
(g9
g10
NtRp7126
(dp7127
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f046d90-bfdc-4801-b514-a00c48981e0e.png
p7128
sbg8
(g9
g10
NtRp7129
(dp7130
g13
Nsg14
Nsg15
VEPSG:4326
p7131
sbg8
(g9
g10
NtRp7132
(dp7133
g13
Nsg14
Nsg15
V2019-06-04
p7134
sbNg8
(g9
g10
NtRp7135
(dp7136
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
p7137
sbg8
(g9
g10
NtRp7138
(dp7139
g13
Nsg14
Nsg15
Vmonitoring station|surface water|water (geographic)|water body|water resources management
p7140
sbg8
(g9
g10
NtRp7141
(dp7142
g13
Nsg14
Nsg15
Vvector
p7143
sbg8
(g9
g10
NtRp7144
(dp7145
g13
Nsg14
Nsg15
VSHP|Spatialite
p7146
sbNg8
(g9
g10
NtRp7147
(dp7148
g13
Nsg14
Nsg15
V1:250000
p7149
sbNg8
(g9
g10
NtRp7150
(dp7151
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p7152
sbg8
(g9
g10
NtRp7153
(dp7154
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f046d90-bfdc-4801-b514-a00c48981e0e
p7155
sbNNg8
(g9
g10
NtRp7156
(dp7157
g13
Nsg14
Nsg15
VFALSE
p7158
sbg8
(g9
g10
NtRp7159
(dp7160
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7161
sbg8
(g9
g10
NtRp7162
(dp7163
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p7164
sbg8
(g9
g10
NtRp7165
(dp7166
g13
Nsg14
Nsg15
VFALSE
p7167
sbg8
(g9
g10
NtRp7168
(dp7169
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7170
sbg8
(g9
g10
NtRp7171
(dp7172
g13
Nsg14
Nsg15
VFALSE
p7173
sbNNNNNNNg8
(g9
g10
NtRp7174
(dp7175
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7176
(dp7177
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7178
(dp7179
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-surface-water-bodies-wfd2016-public_20160505-20170629_rev1
p7180
sbNg8
(g9
g10
NtRp7181
(dp7182
g13
Nsg14
Nsg15
Vsuperseded
p7183
sbtp7184
a(g8
(g9
g10
NtRp7185
(dp7186
g13
Nsg14
Nsg15
V543afa4c-ca30-423b-a0a5-0c9043485bf1
p7187
sbNg8
(g9
g10
NtRp7188
(dp7189
g13
Nsg14
Nsg15
VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.2, Sep. 2018
p7190
sbNNNNNg8
(g9
g10
NtRp7191
(dp7192
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016).\u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aFor the relevant concepts please consult the metadata of the relevant child datasets.
p7193
sbNNg8
(g9
g10
NtRp7194
(dp7195
g13
Nsg14
Nsg15
VFALSE
p7196
sbNNNg8
(g9
g10
NtRp7197
(dp7198
g13
Nsg14
Nsg15
VFALSE
p7199
sbNNg8
(g9
g10
NtRp7200
(dp7201
g13
Nsg14
Nsg15
VFALSE
p7202
sbNNg8
(g9
g10
NtRp7203
(dp7204
g13
Nsg14
Nsg15
VFALSE
p7205
sbNg8
(g9
g10
NtRp7206
(dp7207
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/543afa4c-ca30-423b-a0a5-0c9043485bf1.png
p7208
sbg8
(g9
g10
NtRp7209
(dp7210
g13
Nsg14
Nsg15
VEPSG:4326
p7211
sbg8
(g9
g10
NtRp7212
(dp7213
g13
Nsg14
Nsg15
V2019-06-04
p7214
sbNg8
(g9
g10
NtRp7215
(dp7216
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
p7217
sbg8
(g9
g10
NtRp7218
(dp7219
g13
Nsg14
Nsg15
Vaquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management
p7220
sbg8
(g9
g10
NtRp7221
(dp7222
g13
Nsg14
Nsg15
Vvector
p7223
sbg8
(g9
g10
NtRp7224
(dp7225
g13
Nsg14
Nsg15
VSHP|Spatialite
p7226
sbNg8
(g9
g10
NtRp7227
(dp7228
g13
Nsg14
Nsg15
V1:250000
p7229
sbNg8
(g9
g10
NtRp7230
(dp7231
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/543afa4c-ca30-423b-a0a5-0c9043485bf1
p7235
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VFALSE
p7238
sbg8
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VEU28|Norway
p7241
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NtRp7242
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Nsg14
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.
p7244
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NtRp7245
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VFALSE
p7247
sbg8
(g9
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NtRp7248
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g13
Nsg14
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VEuropean Environment Agency
p7250
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(g9
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NtRp7251
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g13
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Nsg15
VFALSE
p7253
sbNNNNNNNg8
(g9
g10
NtRp7254
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g13
Nsg14
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V
sbg8
(g9
g10
NtRp7256
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7258
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Nsg14
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Veea_v_4326_250_k_wise-wfd2016_i_2016-2018_v01_r02
p7260
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NtRp7261
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g13
Nsg14
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p7263
sbtp7264
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V571e270d-4b42-45f2-a29a-84260f6df506
p7267
sbNg8
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g10
NtRp7268
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Nsg14
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VNationally designated areas (CDDA) polygons for internal use - version 16, Nov. 2018
p7270
sbNNNNNg8
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NtRp7271
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g13
Nsg14
Nsg15
VThe European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\u000a\u000aThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\u000a\u000aTwo versions of the dataset are provided. The "CDDA_2018_v01_internal_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset ("CDDA_2018_v01_internal") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats.\u000a\u000aNOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title "Nationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018", which is derived from this dataset.
p7273
sbNNg8
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g10
NtRp7274
(dp7275
g13
Nsg14
Nsg15
VFALSE
p7276
sbNNNg8
(g9
g10
NtRp7277
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g13
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VFALSE
p7279
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NtRp7280
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Nsg15
VFALSE
p7282
sbNNg8
(g9
g10
NtRp7283
(dp7284
g13
Nsg14
Nsg15
VFALSE
p7285
sbNg8
(g9
g10
NtRp7286
(dp7287
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/571e270d-4b42-45f2-a29a-84260f6df506.png
p7288
sbg8
(g9
g10
NtRp7289
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g13
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Nsg15
VEPSG:4326
p7291
sbg8
(g9
g10
NtRp7292
(dp7293
g13
Nsg14
Nsg15
V2019-06-14
p7294
sbNg8
(g9
g10
NtRp7295
(dp7296
g13
Nsg14
Nsg15
VProtected sites
p7297
sbg8
(g9
g10
NtRp7298
(dp7299
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p7300
sbg8
(g9
g10
NtRp7301
(dp7302
g13
Nsg14
Nsg15
Vvector
p7303
sbg8
(g9
g10
NtRp7304
(dp7305
g13
Nsg14
Nsg15
VFGeo|Geopackage
p7306
sbNg8
(g9
g10
NtRp7307
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g13
Nsg14
Nsg15
V1:100000
p7309
sbNg8
(g9
g10
NtRp7310
(dp7311
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_v16_2018.pdf available together with the data set.
p7312
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(g9
g10
NtRp7313
(dp7314
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/571e270d-4b42-45f2-a29a-84260f6df506
p7315
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g10
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g13
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g74
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V2017
p7318
sbg8
(g9
g10
NtRp7319
(dp7320
g13
Nsg14
g74
sg15
V2018
p7321
sbg8
(g9
g10
NtRp7322
(dp7323
g13
Nsg14
Nsg15
VTRUE
p7324
sbg8
(g9
g10
NtRp7325
(dp7326
g13
Nsg14
Nsg15
VEEA39
p7327
sbg8
(g9
g10
NtRp7328
(dp7329
g13
Nsg14
Nsg15
VThe dataset contains parts which are restricted by the data providers and not to be made public. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.
p7330
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(g9
g10
NtRp7331
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VFALSE
p7333
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g10
NtRp7334
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Nsg15
VEuropean Environment Agency
p7336
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(g9
g10
NtRp7337
(dp7338
g13
Nsg14
Nsg15
VFALSE
p7339
sbNNNNNNNg8
(g9
g10
NtRp7340
(dp7341
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7342
(dp7343
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7344
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g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly_i_2017-2018_v16_r00
p7346
sbNg8
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g10
NtRp7347
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g13
Nsg14
Nsg15
Vsuperseded
p7349
sbtp7350
a(g8
(g9
g10
NtRp7351
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g13
Nsg14
Nsg15
V534b663d-8724-44c7-97ae-d33746207ce6
p7353
sbNg8
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g10
NtRp7354
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g13
Nsg14
Nsg15
VCDDA polygons for internal use - version 12, Oct. 2014
p7356
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g10
NtRp7357
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g13
Nsg14
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VSome features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014.\u000a+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\u000a\u000aThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p7359
sbNNg8
(g9
g10
NtRp7360
(dp7361
g13
Nsg14
Nsg15
VFALSE
p7362
sbNNNg8
(g9
g10
NtRp7363
(dp7364
g13
Nsg14
Nsg15
VFALSE
p7365
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g13
Nsg14
Nsg15
VFALSE
p7368
sbNNg8
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g10
NtRp7369
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g13
Nsg14
Nsg15
VFALSE
p7371
sbNg8
(g9
g10
NtRp7372
(dp7373
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/534b663d-8724-44c7-97ae-d33746207ce6.png
p7374
sbg8
(g9
g10
NtRp7375
(dp7376
g13
Nsg14
Nsg15
VEPSG:3035
p7377
sbg8
(g9
g10
NtRp7378
(dp7379
g13
Nsg14
Nsg15
V2019-06-04
p7380
sbNg8
(g9
g10
NtRp7381
(dp7382
g13
Nsg14
Nsg15
VProtected sites
p7383
sbg8
(g9
g10
NtRp7384
(dp7385
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p7386
sbg8
(g9
g10
NtRp7387
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g13
Nsg14
Nsg15
Vvector
p7389
sbg8
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g10
NtRp7390
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g13
Nsg14
Nsg15
VSHP|SQLite
p7392
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NtRp7393
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g13
Nsg14
Nsg15
V1:100000
p7395
sbNg8
(g9
g10
NtRp7396
(dp7397
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_12.pdf available together with the data set.
p7398
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(g9
g10
NtRp7399
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/534b663d-8724-44c7-97ae-d33746207ce6
p7401
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g10
NtRp7402
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g13
Nsg14
g74
sg15
V2013
p7404
sbg8
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g10
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g13
Nsg14
g74
sg15
V2014
p7407
sbg8
(g9
g10
NtRp7408
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g13
Nsg14
Nsg15
VTRUE
p7410
sbg8
(g9
g10
NtRp7411
(dp7412
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia
p7413
sbg8
(g9
g10
NtRp7414
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g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p7416
sbg8
(g9
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(dp7418
g13
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Nsg15
VFALSE
p7419
sbg8
(g9
g10
NtRp7420
(dp7421
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7422
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Nsg15
VFALSE
p7425
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V
sbg8
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V
sbNNg8
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g10
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g13
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Veea_v_3035_100_k_cdda-poly-internal_2013_rev12
p7432
sbNg8
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g10
NtRp7433
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g13
Nsg14
Nsg15
Vsuperseded
p7435
sbtp7436
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NtRp7437
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Nsg14
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V3d560854-4b19-414d-9dba-cd58b9c231ba
p7439
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g10
NtRp7440
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Nsg14
Nsg15
VWISE WFD surface water bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017
p7442
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g10
NtRp7443
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g13
Nsg14
Nsg15
VThe dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts: \u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000aLake: Body of standing inland surface water. \u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.
p7445
sbNNg8
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g10
NtRp7446
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g13
Nsg14
Nsg15
VFALSE
p7448
sbNNNg8
(g9
g10
NtRp7449
(dp7450
g13
Nsg14
Nsg15
VFALSE
p7451
sbNNg8
(g9
g10
NtRp7452
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g13
Nsg14
Nsg15
VFALSE
p7454
sbNNg8
(g9
g10
NtRp7455
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g13
Nsg14
Nsg15
VFALSE
p7457
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d560854-4b19-414d-9dba-cd58b9c231ba.png
p7460
sbg8
(g9
g10
NtRp7461
(dp7462
g13
Nsg14
Nsg15
VEPSG:4326
p7463
sbg8
(g9
g10
NtRp7464
(dp7465
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Nsg14
Nsg15
V2019-06-04
p7466
sbNg8
(g9
g10
NtRp7467
(dp7468
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
p7469
sbg8
(g9
g10
NtRp7470
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Nsg14
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Vsurface water|water (geographic)|water body|water resources management
p7472
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(g9
g10
NtRp7473
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g13
Nsg14
Nsg15
Vvector
p7475
sbg8
(g9
g10
NtRp7476
(dp7477
g13
Nsg14
Nsg15
VSHP|Spatialite
p7478
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(g9
g10
NtRp7479
(dp7480
g13
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Nsg15
V1:250000
p7481
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(g9
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NtRp7482
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d560854-4b19-414d-9dba-cd58b9c231ba
p7487
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V2010
p7490
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V2017
p7493
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VTRUE
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VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7499
sbg8
(g9
g10
NtRp7500
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g13
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p7502
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p7505
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VEuropean Environment Agency
p7508
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p7511
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V
sbg8
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g13
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V
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NtRp7516
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Veea_v_4326_250_k_wise-surface-water-bodies-wfd2010-public_20100319-20170629_rev1
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V4cd9d1d5-2c86-4475-ac8d-7913594e4cde
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VWISE WFD groundwater bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017
p7528
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NtRp7529
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VThe dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000aThis dataset updates the information published in "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) \u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.
p7531
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p7534
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VFALSE
p7537
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p7540
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NtRp7541
(dp7542
g13
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Nsg15
VFALSE
p7543
sbNg8
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g10
NtRp7544
(dp7545
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4cd9d1d5-2c86-4475-ac8d-7913594e4cde.png
p7546
sbg8
(g9
g10
NtRp7547
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VEPSG:4326
p7549
sbg8
(g9
g10
NtRp7550
(dp7551
g13
Nsg14
Nsg15
V2019-06-04
p7552
sbNg8
(g9
g10
NtRp7553
(dp7554
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Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|WFD Ground Water Body
p7555
sbg8
(g9
g10
NtRp7556
(dp7557
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Vaquifer|groundwater|water resources management
p7558
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NtRp7559
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g13
Nsg14
Nsg15
Vvector
p7561
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(g9
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NtRp7562
(dp7563
g13
Nsg14
Nsg15
VSHP|Spatialite
p7564
sbNg8
(g9
g10
NtRp7565
(dp7566
g13
Nsg14
Nsg15
V1:250000
p7567
sbNg8
(g9
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NtRp7568
(dp7569
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cd9d1d5-2c86-4475-ac8d-7913594e4cde
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VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7585
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
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p7591
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VEuropean Environment Agency
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VFALSE
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Veea_v_4326_250_k_wise-groundwater-bodies-wfd2010-public_20100319-20170629_rev1
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VCDDA polygons for internal use - version 12 revision 1, Nov. 2014
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VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
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VFALSE
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VFALSE
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Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c721adec-aae3-49f6-aecc-09368bfb7b8a.png
p7632
sbg8
(g9
g10
NtRp7633
(dp7634
g13
Nsg14
Nsg15
VEPSG:3035
p7635
sbg8
(g9
g10
NtRp7636
(dp7637
g13
Nsg14
Nsg15
V2019-06-04
p7638
sbNg8
(g9
g10
NtRp7639
(dp7640
g13
Nsg14
Nsg15
VProtected sites
p7641
sbg8
(g9
g10
NtRp7642
(dp7643
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p7644
sbg8
(g9
g10
NtRp7645
(dp7646
g13
Nsg14
Nsg15
Vvector
p7647
sbg8
(g9
g10
NtRp7648
(dp7649
g13
Nsg14
Nsg15
VSHP|SQLite
p7650
sbNg8
(g9
g10
NtRp7651
(dp7652
g13
Nsg14
Nsg15
V1:100000
p7653
sbNg8
(g9
g10
NtRp7654
(dp7655
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_12.pdf available together with the data set.
p7656
sbg8
(g9
g10
NtRp7657
(dp7658
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c721adec-aae3-49f6-aecc-09368bfb7b8a
p7659
sbg8
(g9
g10
NtRp7660
(dp7661
g13
Nsg14
g74
sg15
V2013
p7662
sbg8
(g9
g10
NtRp7663
(dp7664
g13
Nsg14
g74
sg15
V2014
p7665
sbg8
(g9
g10
NtRp7666
(dp7667
g13
Nsg14
Nsg15
VTRUE
p7668
sbg8
(g9
g10
NtRp7669
(dp7670
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia
p7671
sbg8
(g9
g10
NtRp7672
(dp7673
g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014\u201d. For Finland: "©Finnish Environment Institute, 2014".
p7674
sbg8
(g9
g10
NtRp7675
(dp7676
g13
Nsg14
Nsg15
VFALSE
p7677
sbg8
(g9
g10
NtRp7678
(dp7679
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7680
sbg8
(g9
g10
NtRp7681
(dp7682
g13
Nsg14
Nsg15
VFALSE
p7683
sbNNNNNNNg8
(g9
g10
NtRp7684
(dp7685
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7686
(dp7687
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7688
(dp7689
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2013_rev12-1
p7690
sbNg8
(g9
g10
NtRp7691
(dp7692
g13
Nsg14
Nsg15
Vsuperseded
p7693
sbtp7694
a(g8
(g9
g10
NtRp7695
(dp7696
g13
Nsg14
Nsg15
V53c161cf-235b-4647-9200-446b60c5f59c
p7697
sbNg8
(g9
g10
NtRp7698
(dp7699
g13
Nsg14
Nsg15
VCDDA polygons for internal use - version 15, Sept. 2017
p7700
sbNNNNNg8
(g9
g10
NtRp7701
(dp7702
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".
p7703
sbNNg8
(g9
g10
NtRp7704
(dp7705
g13
Nsg14
Nsg15
VFALSE
p7706
sbNNNg8
(g9
g10
NtRp7707
(dp7708
g13
Nsg14
Nsg15
VFALSE
p7709
sbNNg8
(g9
g10
NtRp7710
(dp7711
g13
Nsg14
Nsg15
VFALSE
p7712
sbNNg8
(g9
g10
NtRp7713
(dp7714
g13
Nsg14
Nsg15
VFALSE
p7715
sbNg8
(g9
g10
NtRp7716
(dp7717
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53c161cf-235b-4647-9200-446b60c5f59c.png
p7718
sbg8
(g9
g10
NtRp7719
(dp7720
g13
Nsg14
Nsg15
VEPSG:3035
p7721
sbg8
(g9
g10
NtRp7722
(dp7723
g13
Nsg14
Nsg15
V2019-06-04
p7724
sbNg8
(g9
g10
NtRp7725
(dp7726
g13
Nsg14
Nsg15
VProtected sites
p7727
sbg8
(g9
g10
NtRp7728
(dp7729
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p7730
sbg8
(g9
g10
NtRp7731
(dp7732
g13
Nsg14
Nsg15
Vvector
p7733
sbg8
(g9
g10
NtRp7734
(dp7735
g13
Nsg14
Nsg15
VSHP|SQLite
p7736
sbNg8
(g9
g10
NtRp7737
(dp7738
g13
Nsg14
Nsg15
V1:100000
p7739
sbNg8
(g9
g10
NtRp7740
(dp7741
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_15.pdf available together with the data set.
p7742
sbg8
(g9
g10
NtRp7743
(dp7744
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53c161cf-235b-4647-9200-446b60c5f59c
p7745
sbg8
(g9
g10
NtRp7746
(dp7747
g13
Nsg14
g74
sg15
V2016
p7748
sbg8
(g9
g10
NtRp7749
(dp7750
g13
Nsg14
g74
sg15
V2017
p7751
sbg8
(g9
g10
NtRp7752
(dp7753
g13
Nsg14
Nsg15
VTRUE
p7754
sbg8
(g9
g10
NtRp7755
(dp7756
g13
Nsg14
Nsg15
VEEA39
p7757
sbg8
(g9
g10
NtRp7758
(dp7759
g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".
p7760
sbg8
(g9
g10
NtRp7761
(dp7762
g13
Nsg14
Nsg15
VFALSE
p7763
sbg8
(g9
g10
NtRp7764
(dp7765
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7766
sbg8
(g9
g10
NtRp7767
(dp7768
g13
Nsg14
Nsg15
VFALSE
p7769
sbNNNNNNNg8
(g9
g10
NtRp7770
(dp7771
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7772
(dp7773
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7774
(dp7775
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2017_rev15
p7776
sbNg8
(g9
g10
NtRp7777
(dp7778
g13
Nsg14
Nsg15
Vsuperseded
p7779
sbtp7780
a(g8
(g9
g10
NtRp7781
(dp7782
g13
Nsg14
Nsg15
V85a07445-0031-4e56-a7e2-d268d2af058f
p7783
sbNg8
(g9
g10
NtRp7784
(dp7785
g13
Nsg14
Nsg15
VWISE WFD river basin districts reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017
p7786
sbNNNNNg8
(g9
g10
NtRp7787
(dp7788
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000aThis dataset updates the information published in "WISE River basin districts (RBD) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) \u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.
p7789
sbNNg8
(g9
g10
NtRp7790
(dp7791
g13
Nsg14
Nsg15
VFALSE
p7792
sbNNNg8
(g9
g10
NtRp7793
(dp7794
g13
Nsg14
Nsg15
VFALSE
p7795
sbNNg8
(g9
g10
NtRp7796
(dp7797
g13
Nsg14
Nsg15
VFALSE
p7798
sbNNg8
(g9
g10
NtRp7799
(dp7800
g13
Nsg14
Nsg15
VFALSE
p7801
sbNg8
(g9
g10
NtRp7802
(dp7803
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a07445-0031-4e56-a7e2-d268d2af058f.png
p7804
sbg8
(g9
g10
NtRp7805
(dp7806
g13
Nsg14
Nsg15
VEPSG:4326
p7807
sbg8
(g9
g10
NtRp7808
(dp7809
g13
Nsg14
Nsg15
V2019-06-04
p7810
sbNg8
(g9
g10
NtRp7811
(dp7812
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|River Basin
p7813
sbg8
(g9
g10
NtRp7814
(dp7815
g13
Nsg14
Nsg15
Vriver basin|river basin management|water resources management
p7816
sbg8
(g9
g10
NtRp7817
(dp7818
g13
Nsg14
Nsg15
Vvector
p7819
sbg8
(g9
g10
NtRp7820
(dp7821
g13
Nsg14
Nsg15
VSHP|Spatialite
p7822
sbNg8
(g9
g10
NtRp7823
(dp7824
g13
Nsg14
Nsg15
V1:250000
p7825
sbNg8
(g9
g10
NtRp7826
(dp7827
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
p7828
sbg8
(g9
g10
NtRp7829
(dp7830
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a07445-0031-4e56-a7e2-d268d2af058f
p7831
sbg8
(g9
g10
NtRp7832
(dp7833
g13
Nsg14
g74
sg15
V2010
p7834
sbg8
(g9
g10
NtRp7835
(dp7836
g13
Nsg14
g74
sg15
V2017
p7837
sbg8
(g9
g10
NtRp7838
(dp7839
g13
Nsg14
Nsg15
VTRUE
p7840
sbg8
(g9
g10
NtRp7841
(dp7842
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7843
sbg8
(g9
g10
NtRp7844
(dp7845
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p7846
sbg8
(g9
g10
NtRp7847
(dp7848
g13
Nsg14
Nsg15
VFALSE
p7849
sbg8
(g9
g10
NtRp7850
(dp7851
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7852
sbg8
(g9
g10
NtRp7853
(dp7854
g13
Nsg14
Nsg15
VFALSE
p7855
sbNNNNNNNg8
(g9
g10
NtRp7856
(dp7857
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7858
(dp7859
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7860
(dp7861
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-river-basin-districts-wfd2010-public_20100319-20170629_rev1
p7862
sbNg8
(g9
g10
NtRp7863
(dp7864
g13
Nsg14
Nsg15
Vsuperseded
p7865
sbtp7866
a(g8
(g9
g10
NtRp7867
(dp7868
g13
Nsg14
Nsg15
V72d1276b-d390-4e14-ad09-dcc796ec0677
p7869
sbNg8
(g9
g10
NtRp7870
(dp7871
g13
Nsg14
Nsg15
VWISE WFD river basin district sub-units reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017
p7872
sbNNNNNg8
(g9
g10
NtRp7873
(dp7874
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin district sub-units delineated  for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aThis dataset updates the information published in "WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf).\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
p7875
sbNNg8
(g9
g10
NtRp7876
(dp7877
g13
Nsg14
Nsg15
VFALSE
p7878
sbNNNg8
(g9
g10
NtRp7879
(dp7880
g13
Nsg14
Nsg15
VFALSE
p7881
sbNNg8
(g9
g10
NtRp7882
(dp7883
g13
Nsg14
Nsg15
VFALSE
p7884
sbNNg8
(g9
g10
NtRp7885
(dp7886
g13
Nsg14
Nsg15
VFALSE
p7887
sbNg8
(g9
g10
NtRp7888
(dp7889
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/72d1276b-d390-4e14-ad09-dcc796ec0677.png
p7890
sbg8
(g9
g10
NtRp7891
(dp7892
g13
Nsg14
Nsg15
VEPSG:4326
p7893
sbg8
(g9
g10
NtRp7894
(dp7895
g13
Nsg14
Nsg15
V2019-06-04
p7896
sbNg8
(g9
g10
NtRp7897
(dp7898
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|River Basin
p7899
sbg8
(g9
g10
NtRp7900
(dp7901
g13
Nsg14
Nsg15
Vriver basin|river basin management|water resources management
p7902
sbg8
(g9
g10
NtRp7903
(dp7904
g13
Nsg14
Nsg15
Vvector
p7905
sbg8
(g9
g10
NtRp7906
(dp7907
g13
Nsg14
Nsg15
VSHP|Spatialite
p7908
sbNg8
(g9
g10
NtRp7909
(dp7910
g13
Nsg14
Nsg15
V1:250000
p7911
sbNg8
(g9
g10
NtRp7912
(dp7913
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
p7914
sbg8
(g9
g10
NtRp7915
(dp7916
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72d1276b-d390-4e14-ad09-dcc796ec0677
p7917
sbg8
(g9
g10
NtRp7918
(dp7919
g13
Nsg14
g74
sg15
V2007
p7920
sbg8
(g9
g10
NtRp7921
(dp7922
g13
Nsg14
g74
sg15
V2017
p7923
sbg8
(g9
g10
NtRp7924
(dp7925
g13
Nsg14
Nsg15
VTRUE
p7926
sbg8
(g9
g10
NtRp7927
(dp7928
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p7929
sbg8
(g9
g10
NtRp7930
(dp7931
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p7932
sbg8
(g9
g10
NtRp7933
(dp7934
g13
Nsg14
Nsg15
VFALSE
p7935
sbg8
(g9
g10
NtRp7936
(dp7937
g13
Nsg14
Nsg15
VEuropean Environment Agency
p7938
sbg8
(g9
g10
NtRp7939
(dp7940
g13
Nsg14
Nsg15
VFALSE
p7941
sbNNNNNNNg8
(g9
g10
NtRp7942
(dp7943
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp7944
(dp7945
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp7946
(dp7947
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-sub-units-wfd2010-public_20070311-20170630_rev1
p7948
sbNg8
(g9
g10
NtRp7949
(dp7950
g13
Nsg14
Nsg15
Vsuperseded
p7951
sbtp7952
a(g8
(g9
g10
NtRp7953
(dp7954
g13
Nsg14
Nsg15
V3d8d581f-28ed-4611-a811-dbbdf31e74cc
p7955
sbNg8
(g9
g10
NtRp7956
(dp7957
g13
Nsg14
Nsg15
VWISE WFD river basin districts reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017
p7958
sbNNNNNg8
(g9
g10
NtRp7959
(dp7960
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.
p7961
sbNNg8
(g9
g10
NtRp7962
(dp7963
g13
Nsg14
Nsg15
VFALSE
p7964
sbNNNg8
(g9
g10
NtRp7965
(dp7966
g13
Nsg14
Nsg15
VFALSE
p7967
sbNNg8
(g9
g10
NtRp7968
(dp7969
g13
Nsg14
Nsg15
VFALSE
p7970
sbNNg8
(g9
g10
NtRp7971
(dp7972
g13
Nsg14
Nsg15
VFALSE
p7973
sbNg8
(g9
g10
NtRp7974
(dp7975
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d8d581f-28ed-4611-a811-dbbdf31e74cc.png
p7976
sbg8
(g9
g10
NtRp7977
(dp7978
g13
Nsg14
Nsg15
VEPSG:4326
p7979
sbg8
(g9
g10
NtRp7980
(dp7981
g13
Nsg14
Nsg15
V2019-06-04
p7982
sbNg8
(g9
g10
NtRp7983
(dp7984
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|River Basin
p7985
sbg8
(g9
g10
NtRp7986
(dp7987
g13
Nsg14
Nsg15
Vriver basin|river basin management|water resources management
p7988
sbg8
(g9
g10
NtRp7989
(dp7990
g13
Nsg14
Nsg15
Vvector
p7991
sbg8
(g9
g10
NtRp7992
(dp7993
g13
Nsg14
Nsg15
VSHP|Spatialite
p7994
sbNg8
(g9
g10
NtRp7995
(dp7996
g13
Nsg14
Nsg15
V1:250000
p7997
sbNg8
(g9
g10
NtRp7998
(dp7999
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p8000
sbg8
(g9
g10
NtRp8001
(dp8002
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d8d581f-28ed-4611-a811-dbbdf31e74cc
p8003
sbg8
(g9
g10
NtRp8004
(dp8005
g13
Nsg14
g74
sg15
V2016
p8006
sbg8
(g9
g10
NtRp8007
(dp8008
g13
Nsg14
g74
sg15
V2017
p8009
sbg8
(g9
g10
NtRp8010
(dp8011
g13
Nsg14
Nsg15
VTRUE
p8012
sbg8
(g9
g10
NtRp8013
(dp8014
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p8015
sbg8
(g9
g10
NtRp8016
(dp8017
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p8018
sbg8
(g9
g10
NtRp8019
(dp8020
g13
Nsg14
Nsg15
VFALSE
p8021
sbg8
(g9
g10
NtRp8022
(dp8023
g13
Nsg14
Nsg15
VEuropean Environment Agency
p8024
sbg8
(g9
g10
NtRp8025
(dp8026
g13
Nsg14
Nsg15
VFALSE
p8027
sbNNNNNNNg8
(g9
g10
NtRp8028
(dp8029
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8030
(dp8031
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8032
(dp8033
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-river-basin-districts-wfd2016-public_20160505-20170629_rev1
p8034
sbNg8
(g9
g10
NtRp8035
(dp8036
g13
Nsg14
Nsg15
Vsuperseded
p8037
sbtp8038
a(g8
(g9
g10
NtRp8039
(dp8040
g13
Nsg14
Nsg15
Vd9ecde45-9e59-47de-a61d-69cc9f41d04c
p8041
sbNg8
(g9
g10
NtRp8042
(dp8043
g13
Nsg14
Nsg15
VCDDA polygons for internal use - version 14, Dec. 2016
p8044
sbNNNNNg8
(g9
g10
NtRp8045
(dp8046
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".
p8047
sbNNg8
(g9
g10
NtRp8048
(dp8049
g13
Nsg14
Nsg15
VFALSE
p8050
sbNNNg8
(g9
g10
NtRp8051
(dp8052
g13
Nsg14
Nsg15
VFALSE
p8053
sbNNg8
(g9
g10
NtRp8054
(dp8055
g13
Nsg14
Nsg15
VFALSE
p8056
sbNNg8
(g9
g10
NtRp8057
(dp8058
g13
Nsg14
Nsg15
VFALSE
p8059
sbNg8
(g9
g10
NtRp8060
(dp8061
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png
p8062
sbg8
(g9
g10
NtRp8063
(dp8064
g13
Nsg14
Nsg15
VEPSG:3035
p8065
sbg8
(g9
g10
NtRp8066
(dp8067
g13
Nsg14
Nsg15
V2019-06-04
p8068
sbNg8
(g9
g10
NtRp8069
(dp8070
g13
Nsg14
Nsg15
VProtected sites
p8071
sbg8
(g9
g10
NtRp8072
(dp8073
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p8074
sbg8
(g9
g10
NtRp8075
(dp8076
g13
Nsg14
Nsg15
Vvector
p8077
sbg8
(g9
g10
NtRp8078
(dp8079
g13
Nsg14
Nsg15
VSHP|SQLite
p8080
sbNg8
(g9
g10
NtRp8081
(dp8082
g13
Nsg14
Nsg15
V1:100000
p8083
sbNg8
(g9
g10
NtRp8084
(dp8085
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_14.pdf available together with the data set.
p8086
sbg8
(g9
g10
NtRp8087
(dp8088
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9ecde45-9e59-47de-a61d-69cc9f41d04c
p8089
sbg8
(g9
g10
NtRp8090
(dp8091
g13
Nsg14
g74
sg15
V2015
p8092
sbg8
(g9
g10
NtRp8093
(dp8094
g13
Nsg14
g74
sg15
V2016
p8095
sbg8
(g9
g10
NtRp8096
(dp8097
g13
Nsg14
Nsg15
VTRUE
p8098
sbg8
(g9
g10
NtRp8099
(dp8100
g13
Nsg14
Nsg15
VEEA39
p8101
sbg8
(g9
g10
NtRp8102
(dp8103
g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".
p8104
sbg8
(g9
g10
NtRp8105
(dp8106
g13
Nsg14
Nsg15
VFALSE
p8107
sbg8
(g9
g10
NtRp8108
(dp8109
g13
Nsg14
Nsg15
VEuropean Environment Agency
p8110
sbg8
(g9
g10
NtRp8111
(dp8112
g13
Nsg14
Nsg15
VFALSE
p8113
sbNNNNNNNg8
(g9
g10
NtRp8114
(dp8115
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8116
(dp8117
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8118
(dp8119
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2015_rev14-0
p8120
sbNg8
(g9
g10
NtRp8121
(dp8122
g13
Nsg14
Nsg15
Vsuperseded
p8123
sbtp8124
a(g8
(g9
g10
NtRp8125
(dp8126
g13
Nsg14
Nsg15
V8f74e086-3bb0-4bcb-82b0-f3136f74b19e
p8127
sbNg8
(g9
g10
NtRp8128
(dp8129
g13
Nsg14
Nsg15
VWISE WFD river basin district sub-units reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017
p8130
sbNNNNNg8
(g9
g10
NtRp8131
(dp8132
g13
Nsg14
Nsg15
VThe dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
p8133
sbNNg8
(g9
g10
NtRp8134
(dp8135
g13
Nsg14
Nsg15
VFALSE
p8136
sbNNNg8
(g9
g10
NtRp8137
(dp8138
g13
Nsg14
Nsg15
VFALSE
p8139
sbNNg8
(g9
g10
NtRp8140
(dp8141
g13
Nsg14
Nsg15
VFALSE
p8142
sbNNg8
(g9
g10
NtRp8143
(dp8144
g13
Nsg14
Nsg15
VFALSE
p8145
sbNg8
(g9
g10
NtRp8146
(dp8147
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f74e086-3bb0-4bcb-82b0-f3136f74b19e.png
p8148
sbg8
(g9
g10
NtRp8149
(dp8150
g13
Nsg14
Nsg15
VEPSG:4326
p8151
sbg8
(g9
g10
NtRp8152
(dp8153
g13
Nsg14
Nsg15
V2019-06-04
p8154
sbNg8
(g9
g10
NtRp8155
(dp8156
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|River Basin
p8157
sbg8
(g9
g10
NtRp8158
(dp8159
g13
Nsg14
Nsg15
Vriver basin|river basin management|water resources management
p8160
sbg8
(g9
g10
NtRp8161
(dp8162
g13
Nsg14
Nsg15
Vvector
p8163
sbg8
(g9
g10
NtRp8164
(dp8165
g13
Nsg14
Nsg15
VSHP|Spatialite
p8166
sbNg8
(g9
g10
NtRp8167
(dp8168
g13
Nsg14
Nsg15
V1:250000
p8169
sbNg8
(g9
g10
NtRp8170
(dp8171
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p8172
sbg8
(g9
g10
NtRp8173
(dp8174
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f74e086-3bb0-4bcb-82b0-f3136f74b19e
p8175
sbg8
(g9
g10
NtRp8176
(dp8177
g13
Nsg14
g74
sg15
V2016
p8178
sbg8
(g9
g10
NtRp8179
(dp8180
g13
Nsg14
g74
sg15
V2017
p8181
sbg8
(g9
g10
NtRp8182
(dp8183
g13
Nsg14
Nsg15
VTRUE
p8184
sbg8
(g9
g10
NtRp8185
(dp8186
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p8187
sbg8
(g9
g10
NtRp8188
(dp8189
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p8190
sbg8
(g9
g10
NtRp8191
(dp8192
g13
Nsg14
Nsg15
VFALSE
p8193
sbg8
(g9
g10
NtRp8194
(dp8195
g13
Nsg14
Nsg15
VEuropean Environment Agency
p8196
sbg8
(g9
g10
NtRp8197
(dp8198
g13
Nsg14
Nsg15
VFALSE
p8199
sbNNNNNNNg8
(g9
g10
NtRp8200
(dp8201
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8202
(dp8203
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8204
(dp8205
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-sub-units-wfd2016-public_20160505-20170629_rev1
p8206
sbNg8
(g9
g10
NtRp8207
(dp8208
g13
Nsg14
Nsg15
Vsuperseded
p8209
sbtp8210
a(g8
(g9
g10
NtRp8211
(dp8212
g13
Nsg14
Nsg15
V8a42ea63-a9d2-413d-9e48-730a6824b000
p8213
sbNg8
(g9
g10
NtRp8214
(dp8215
g13
Nsg14
Nsg15
VWISE WFD groundwater bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017
p8216
sbNNNNNg8
(g9
g10
NtRp8217
(dp8218
g13
Nsg14
Nsg15
VThe dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.
p8219
sbNNg8
(g9
g10
NtRp8220
(dp8221
g13
Nsg14
Nsg15
VFALSE
p8222
sbNNNg8
(g9
g10
NtRp8223
(dp8224
g13
Nsg14
Nsg15
VFALSE
p8225
sbNNg8
(g9
g10
NtRp8226
(dp8227
g13
Nsg14
Nsg15
VFALSE
p8228
sbNNg8
(g9
g10
NtRp8229
(dp8230
g13
Nsg14
Nsg15
VFALSE
p8231
sbNg8
(g9
g10
NtRp8232
(dp8233
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a42ea63-a9d2-413d-9e48-730a6824b000.png
p8234
sbg8
(g9
g10
NtRp8235
(dp8236
g13
Nsg14
Nsg15
VEPSG:4326
p8237
sbg8
(g9
g10
NtRp8238
(dp8239
g13
Nsg14
Nsg15
V2019-06-04
p8240
sbNg8
(g9
g10
NtRp8241
(dp8242
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|WFD Ground Water Body
p8243
sbg8
(g9
g10
NtRp8244
(dp8245
g13
Nsg14
Nsg15
Vaquifer|groundwater|water resources management
p8246
sbg8
(g9
g10
NtRp8247
(dp8248
g13
Nsg14
Nsg15
Vvector
p8249
sbg8
(g9
g10
NtRp8250
(dp8251
g13
Nsg14
Nsg15
VSHP|Spatialite
p8252
sbNg8
(g9
g10
NtRp8253
(dp8254
g13
Nsg14
Nsg15
V1:250000
p8255
sbNg8
(g9
g10
NtRp8256
(dp8257
g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p8258
sbg8
(g9
g10
NtRp8259
(dp8260
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a42ea63-a9d2-413d-9e48-730a6824b000
p8261
sbg8
(g9
g10
NtRp8262
(dp8263
g13
Nsg14
g74
sg15
V2016
p8264
sbg8
(g9
g10
NtRp8265
(dp8266
g13
Nsg14
g74
sg15
V2017
p8267
sbg8
(g9
g10
NtRp8268
(dp8269
g13
Nsg14
Nsg15
VTRUE
p8270
sbg8
(g9
g10
NtRp8271
(dp8272
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p8273
sbg8
(g9
g10
NtRp8274
(dp8275
g13
Nsg14
Nsg15
VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p8276
sbg8
(g9
g10
NtRp8277
(dp8278
g13
Nsg14
Nsg15
VFALSE
p8279
sbg8
(g9
g10
NtRp8280
(dp8281
g13
Nsg14
Nsg15
VEuropean Environment Agency
p8282
sbg8
(g9
g10
NtRp8283
(dp8284
g13
Nsg14
Nsg15
VFALSE
p8285
sbNNNNNNNg8
(g9
g10
NtRp8286
(dp8287
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8288
(dp8289
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8290
(dp8291
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-groundwater-bodies-wfd2016-public_20160505-20170629_rev1
p8292
sbNg8
(g9
g10
NtRp8293
(dp8294
g13
Nsg14
Nsg15
Vsuperseded
p8295
sbtp8296
a(g8
(g9
g10
NtRp8297
(dp8298
g13
Nsg14
Nsg15
V2d0c4aad-85ee-476e-b58e-8a89cd3d5430
p8299
sbNg8
(g9
g10
NtRp8300
(dp8301
g13
Nsg14
Nsg15
VCDDA points for internal use - version 11, Jul. 2013
p8302
sbNNNNNg8
(g9
g10
NtRp8303
(dp8304
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
p8305
sbNNg8
(g9
g10
NtRp8306
(dp8307
g13
Nsg14
Nsg15
VFALSE
p8308
sbNNNg8
(g9
g10
NtRp8309
(dp8310
g13
Nsg14
Nsg15
VFALSE
p8311
sbNNg8
(g9
g10
NtRp8312
(dp8313
g13
Nsg14
Nsg15
VFALSE
p8314
sbNNg8
(g9
g10
NtRp8315
(dp8316
g13
Nsg14
Nsg15
VFALSE
p8317
sbNg8
(g9
g10
NtRp8318
(dp8319
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d0c4aad-85ee-476e-b58e-8a89cd3d5430.png
p8320
sbg8
(g9
g10
NtRp8321
(dp8322
g13
Nsg14
Nsg15
VEPSG:3035
p8323
sbg8
(g9
g10
NtRp8324
(dp8325
g13
Nsg14
Nsg15
V2019-06-04
p8326
sbNg8
(g9
g10
NtRp8327
(dp8328
g13
Nsg14
Nsg15
VProtected sites
p8329
sbg8
(g9
g10
NtRp8330
(dp8331
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p8332
sbg8
(g9
g10
NtRp8333
(dp8334
g13
Nsg14
Nsg15
Vvector
p8335
sbg8
(g9
g10
NtRp8336
(dp8337
g13
Nsg14
Nsg15
VSHP
p8338
sbNg8
(g9
g10
NtRp8339
(dp8340
g13
Nsg14
Nsg15
V1:100000
p8341
sbNg8
(g9
g10
NtRp8342
(dp8343
g13
Nsg14
Nsg15
VIn 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.
p8344
sbg8
(g9
g10
NtRp8345
(dp8346
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d0c4aad-85ee-476e-b58e-8a89cd3d5430
p8347
sbg8
(g9
g10
NtRp8348
(dp8349
g13
Nsg14
g74
sg15
V2012
p8350
sbg8
(g9
g10
NtRp8351
(dp8352
g13
Nsg14
g74
sg15
V2013
p8353
sbg8
(g9
g10
NtRp8354
(dp8355
g13
Nsg14
Nsg15
VTRUE
p8356
sbg8
(g9
g10
NtRp8357
(dp8358
g13
Nsg14
Nsg15
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VEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\u000a\u000aCopyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".
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VEuropean Environment Agency
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VFALSE
p8371
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NtRp8376
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Veea_v_3035_100_k_cdda-point-internal_2012_rev11
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V73a2ddf6-cad4-4d2e-aed7-49a42555d01f
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Nsg14
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VWISE WFD monitoring sites reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017
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NtRp8389
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g13
Nsg14
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VThe dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts:\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\u000aSurface water body:  Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.
p8391
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NtRp8392
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Nsg15
VFALSE
p8394
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g10
NtRp8395
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p8397
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NtRp8398
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VFALSE
p8400
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g10
NtRp8401
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Nsg15
VFALSE
p8403
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g10
NtRp8404
(dp8405
g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/73a2ddf6-cad4-4d2e-aed7-49a42555d01f.png
p8406
sbg8
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g10
NtRp8407
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g13
Nsg14
Nsg15
VEPSG:4326
p8409
sbg8
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g10
NtRp8410
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Nsg14
Nsg15
V2019-06-04
p8412
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NtRp8413
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VEnvironmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body
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Vgroundwater|monitoring station|surface water|water resources management
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g10
NtRp8419
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g13
Nsg14
Nsg15
Vvector
p8421
sbg8
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g10
NtRp8422
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g13
Nsg14
Nsg15
VSHP|Spatialite
p8424
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g10
NtRp8425
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g13
Nsg14
Nsg15
V1:250000
p8427
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g10
NtRp8428
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g13
Nsg14
Nsg15
V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/73a2ddf6-cad4-4d2e-aed7-49a42555d01f
p8433
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V2010
p8436
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g10
NtRp8437
(dp8438
g13
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g74
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V2017
p8439
sbg8
(g9
g10
NtRp8440
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Nsg14
Nsg15
VTRUE
p8442
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VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden
p8445
sbg8
(g9
g10
NtRp8446
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g13
Nsg14
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.
p8448
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g10
NtRp8449
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g13
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VFALSE
p8451
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(g9
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NtRp8452
(dp8453
g13
Nsg14
Nsg15
VEuropean Environment Agency
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VFALSE
p8457
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V
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V
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Veea_v_4326_250_k_wise-monitoring-sites-wfd2010-public_20100319-20170629_rev1
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Vsuperseded
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V94c5c72e-29dd-4e3e-a721-a2552d50f497
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VHigh Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2016
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VTree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are:\u000a\u000a1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees;\u000a\u000a2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands;\u000a\u000a3) Alleys, wooded parks and gardens;\u000a\u000a4) Groups of trees within urban areas;\u000a\u000a5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery.\u000a\u000aAccordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product).\u000a\u000aThe production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p8477
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VFALSE
p8480
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VFALSE
p8486
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94c5c72e-29dd-4e3e-a721-a2552d50f497.png
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VEPSG:3035
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V2019-06-04
p8498
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VLand cover
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Vforest management|land cover|land use|landscape alteration|tree
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Vgrid
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VGTiff
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V100m
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VThe product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94c5c72e-29dd-4e3e-a721-a2552d50f497
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VEEA39
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VEuropean Environment Agency
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p8537
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V
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Vobsolete
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V313c0c3a-c177-4198-a7de-09b7f6ac3a9d
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VEuroRegionalMap (full European coverage) - version 10.0, Jan. 2017
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VEuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. \u000a\u000aThematic layers: \u000aAdministrative Boundaries\u000aHydrography\u000aMiscellaneous\u000aNamed Location\u000aSettlement\u000aTransportation\u000aVegetation and Soil\u000aPoints of Interests
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VFALSE
p8560
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VFALSE
p8563
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VFALSE
p8566
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.png
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V2019-06-04
p8575
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VAdministrative units|Geographical names|Hydrography|Land cover|Sea regions|Soil|Transport networks|Utility and governmental services
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Vadministrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway
p8581
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Vvector
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NtRp8585
(dp8586
g13
Nsg14
Nsg15
VFGeo
p8587
sbNg8
(g9
g10
NtRp8588
(dp8589
g13
Nsg14
Nsg15
V1:250000
p8590
sbNg8
(g9
g10
NtRp8591
(dp8592
g13
Nsg14
Nsg15
VERM(EC)_v10.0_Lineage_FullEurope.doc
p8593
sbg8
(g9
g10
NtRp8594
(dp8595
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/313c0c3a-c177-4198-a7de-09b7f6ac3a9d
p8596
sbNNg8
(g9
g10
NtRp8597
(dp8598
g13
Nsg14
Nsg15
VFALSE
p8599
sbg8
(g9
g10
NtRp8600
(dp8601
g13
Nsg14
Nsg15
VAndorra|EFTA4|EU27|Faeroe Islands|Georgia|Isle of Man|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican
p8602
sbg8
(g9
g10
NtRp8603
(dp8604
g13
Nsg14
Nsg15
VLicense for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc
p8605
sbg8
(g9
g10
NtRp8606
(dp8607
g13
Nsg14
Nsg15
VFALSE
p8608
sbNg8
(g9
g10
NtRp8609
(dp8610
g13
Nsg14
Nsg15
VFALSE
p8611
sbNNNNNNNg8
(g9
g10
NtRp8612
(dp8613
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8614
(dp8615
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8616
(dp8617
g13
Nsg14
Nsg15
Veurogeographics_v_4258_250_k_erm-europe_i_2016_v10_r00
p8618
sbNg8
(g9
g10
NtRp8619
(dp8620
g13
Nsg14
Nsg15
Vsuperseded
p8621
sbtp8622
a(g8
(g9
g10
NtRp8623
(dp8624
g13
Nsg14
Nsg15
Vbbee0e27-0b11-4ce4-ad73-7dba3c2a70a1
p8625
sbNg8
(g9
g10
NtRp8626
(dp8627
g13
Nsg14
Nsg15
VEuroBoundaryMap - version 11, Jan. 2017
p8628
sbNNNNNg8
(g9
g10
NtRp8629
(dp8630
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000a\u000aThe product EBM v11 is a full update of all countries. \u000aMore details are available in EBM_v11_Specification.pdf
p8631
sbNNg8
(g9
g10
NtRp8632
(dp8633
g13
Nsg14
Nsg15
VFALSE
p8634
sbNNNg8
(g9
g10
NtRp8635
(dp8636
g13
Nsg14
Nsg15
VFALSE
p8637
sbNNg8
(g9
g10
NtRp8638
(dp8639
g13
Nsg14
Nsg15
VFALSE
p8640
sbNNg8
(g9
g10
NtRp8641
(dp8642
g13
Nsg14
Nsg15
VFALSE
p8643
sbNg8
(g9
g10
NtRp8644
(dp8645
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1.png
p8646
sbNg8
(g9
g10
NtRp8647
(dp8648
g13
Nsg14
Nsg15
V2019-06-04
p8649
sbNg8
(g9
g10
NtRp8650
(dp8651
g13
Nsg14
Nsg15
VAdministrative units
p8652
sbg8
(g9
g10
NtRp8653
(dp8654
g13
Nsg14
Nsg15
Vadministrative boundary|national boundary|sub-national boundary
p8655
sbg8
(g9
g10
NtRp8656
(dp8657
g13
Nsg14
Nsg15
Vvector
p8658
sbg8
(g9
g10
NtRp8659
(dp8660
g13
Nsg14
Nsg15
VFGeo
p8661
sbNg8
(g9
g10
NtRp8662
(dp8663
g13
Nsg14
Nsg15
V1:100000
p8664
sbNg8
(g9
g10
NtRp8665
(dp8666
g13
Nsg14
Nsg15
VPlease refer to the documents EBM_v11_QualityReport.pdf and EBM_v11_Changes.pdf under EuroBoundaryMap_v11/Descriptions_Metadata
p8667
sbg8
(g9
g10
NtRp8668
(dp8669
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1
p8670
sbNNg8
(g9
g10
NtRp8671
(dp8672
g13
Nsg14
Nsg15
VFALSE
p8673
sbg8
(g9
g10
NtRp8674
(dp8675
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine
p8676
sbg8
(g9
g10
NtRp8677
(dp8678
g13
Nsg14
Nsg15
VLicense For further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc
p8679
sbg8
(g9
g10
NtRp8680
(dp8681
g13
Nsg14
Nsg15
VFALSE
p8682
sbNg8
(g9
g10
NtRp8683
(dp8684
g13
Nsg14
Nsg15
VFALSE
p8685
sbNNNNNNNg8
(g9
g10
NtRp8686
(dp8687
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8688
(dp8689
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8690
(dp8691
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm_i_2016_v11_r00
p8692
sbNg8
(g9
g10
NtRp8693
(dp8694
g13
Nsg14
Nsg15
Vsuperseded
p8695
sbtp8696
a(g8
(g9
g10
NtRp8697
(dp8698
g13
Nsg14
Nsg15
V802300f9-4b37-41e3-8990-813ce01a3fb3
p8699
sbNg8
(g9
g10
NtRp8700
(dp8701
g13
Nsg14
Nsg15
VEuroBoundaryMap - version 12, Jan. 2018
p8702
sbNNNNNg8
(g9
g10
NtRp8703
(dp8704
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000aThis metadata refers to the version 12 of EBM, which is a full update of all the countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v11), please refer to the documents EBM_v12_Specification.pdf, EBM_v12_TechnicalGuide.pdf and EBM_v12_Changes.pdf provided with the dataset (Documents.zip)\u000aThis dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset.\u000aThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("Metadata_EBM_v12.xml" within the "Descriptions_Metadata.zip")
p8705
sbNNg8
(g9
g10
NtRp8706
(dp8707
g13
Nsg14
Nsg15
VFALSE
p8708
sbNNNg8
(g9
g10
NtRp8709
(dp8710
g13
Nsg14
Nsg15
VFALSE
p8711
sbNNg8
(g9
g10
NtRp8712
(dp8713
g13
Nsg14
Nsg15
VFALSE
p8714
sbNNg8
(g9
g10
NtRp8715
(dp8716
g13
Nsg14
Nsg15
VFALSE
p8717
sbNg8
(g9
g10
NtRp8718
(dp8719
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/802300f9-4b37-41e3-8990-813ce01a3fb3.png
p8720
sbNg8
(g9
g10
NtRp8721
(dp8722
g13
Nsg14
Nsg15
V2019-06-04
p8723
sbNg8
(g9
g10
NtRp8724
(dp8725
g13
Nsg14
Nsg15
VAdministrative units|Geographical names|Population distribution \u2014 demography|Statistical units
p8726
sbg8
(g9
g10
NtRp8727
(dp8728
g13
Nsg14
Nsg15
Vadministrative boundary|national boundary|sub-national boundary
p8729
sbg8
(g9
g10
NtRp8730
(dp8731
g13
Nsg14
Nsg15
Vvector
p8732
sbg8
(g9
g10
NtRp8733
(dp8734
g13
Nsg14
Nsg15
VFGeo|SHP
p8735
sbNg8
(g9
g10
NtRp8736
(dp8737
g13
Nsg14
Nsg15
V1:100000
p8738
sbNg8
(g9
g10
NtRp8739
(dp8740
g13
Nsg14
Nsg15
VDelivered separately for each national contribution. Please refer to the documents "XX_Lineage_EBM_v12.pdf" (where XX is the country acronym), stored under each corresponding country folder in "Descriptions_Metadata.zip" provided together with the dataset.
p8741
sbg8
(g9
g10
NtRp8742
(dp8743
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/802300f9-4b37-41e3-8990-813ce01a3fb3
p8744
sbNNg8
(g9
g10
NtRp8745
(dp8746
g13
Nsg14
Nsg15
VFALSE
p8747
sbg8
(g9
g10
NtRp8748
(dp8749
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine
p8750
sbg8
(g9
g10
NtRp8751
(dp8752
g13
Nsg14
Nsg15
VThe Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data.For spatial analysis and for mapping of results of these analysis.\u000aThe license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.
p8753
sbg8
(g9
g10
NtRp8754
(dp8755
g13
Nsg14
Nsg15
VFALSE
p8756
sbNg8
(g9
g10
NtRp8757
(dp8758
g13
Nsg14
Nsg15
VFALSE
p8759
sbNNNNNNNg8
(g9
g10
NtRp8760
(dp8761
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8762
(dp8763
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8764
(dp8765
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm_i_2017_v12_r00
p8766
sbNg8
(g9
g10
NtRp8767
(dp8768
g13
Nsg14
Nsg15
Vsuperseded
p8769
sbtp8770
a(g8
(g9
g10
NtRp8771
(dp8772
g13
Nsg14
Nsg15
V85a5772c-d86c-4d39-bb0a-6140a8486a1b
p8773
sbNg8
(g9
g10
NtRp8774
(dp8775
g13
Nsg14
Nsg15
VEuroRegionalMap (full European coverage) - version 9.0, Jan. 2016
p8776
sbNNNNNg8
(g9
g10
NtRp8777
(dp8778
g13
Nsg14
Nsg15
VEuroRegionalMap v9.0 is a pan-European dataset containing topographic information at the scale 1:250 000 covering: 27 EU member states (excluding Croatia), 4 EFTA states (Liechtenstein, Norway, Iceland, Switzerland), Republic of Moldova, Serbia, Kosovo and Georgia. It is a seamless and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\u000a\u000aThematic layers: \u000aAdministrative Boundaries,\u000aHydrography,\u000aSettlements,\u000aTransport,\u000aPoints of Interests,\u000aNamed Location,\u000aMiscellaneous,\u000aVegetation and \u000aSoil.
p8779
sbNNg8
(g9
g10
NtRp8780
(dp8781
g13
Nsg14
Nsg15
VFALSE
p8782
sbNNNg8
(g9
g10
NtRp8783
(dp8784
g13
Nsg14
Nsg15
VFALSE
p8785
sbNNg8
(g9
g10
NtRp8786
(dp8787
g13
Nsg14
Nsg15
VFALSE
p8788
sbNNg8
(g9
g10
NtRp8789
(dp8790
g13
Nsg14
Nsg15
VFALSE
p8791
sbNg8
(g9
g10
NtRp8792
(dp8793
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a5772c-d86c-4d39-bb0a-6140a8486a1b.png
p8794
sbNg8
(g9
g10
NtRp8795
(dp8796
g13
Nsg14
Nsg15
V2019-06-04
p8797
sbNg8
(g9
g10
NtRp8798
(dp8799
g13
Nsg14
Nsg15
VAdministrative units|Hydrography|Population distribution \u2014 demography|Sea regions|Soil|Transport networks
p8800
sbg8
(g9
g10
NtRp8801
(dp8802
g13
Nsg14
Nsg15
Vadministrative boundary|airport|artificial lake|built environment|built-up area|car park|coast|dam|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|in situ|inland water|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway
p8803
sbg8
(g9
g10
NtRp8804
(dp8805
g13
Nsg14
Nsg15
Vvector
p8806
sbg8
(g9
g10
NtRp8807
(dp8808
g13
Nsg14
Nsg15
VFGeo
p8809
sbNg8
(g9
g10
NtRp8810
(dp8811
g13
Nsg14
Nsg15
V1:250000
p8812
sbNg8
(g9
g10
NtRp8813
(dp8814
g13
Nsg14
Nsg15
VSee ERM(EC)_v90_Lineage.doc
p8815
sbg8
(g9
g10
NtRp8816
(dp8817
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a5772c-d86c-4d39-bb0a-6140a8486a1b
p8818
sbNNg8
(g9
g10
NtRp8819
(dp8820
g13
Nsg14
Nsg15
VFALSE
p8821
sbg8
(g9
g10
NtRp8822
(dp8823
g13
Nsg14
Nsg15
VAndorra|Bosnia and Herzegovina|EFTA4|EU27|Georgia|Kosovo|Moldova|Monaco|Montenegro|North Macedonia|Serbia
p8824
sbg8
(g9
g10
NtRp8825
(dp8826
g13
Nsg14
Nsg15
VPlease refer to the documents GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf  and Data_Request_Form_EuroGeographics.doc under ERM9/Licence.
p8827
sbg8
(g9
g10
NtRp8828
(dp8829
g13
Nsg14
Nsg15
VFALSE
p8830
sbNg8
(g9
g10
NtRp8831
(dp8832
g13
Nsg14
Nsg15
VFALSE
p8833
sbNNNNNNNg8
(g9
g10
NtRp8834
(dp8835
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8836
(dp8837
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8838
(dp8839
g13
Nsg14
Nsg15
Veurogeographics_v_4258_250_k_erm-europe_i_2015_v09_r00
p8840
sbNg8
(g9
g10
NtRp8841
(dp8842
g13
Nsg14
Nsg15
Vsuperseded
p8843
sbtp8844
a(g8
(g9
g10
NtRp8845
(dp8846
g13
Nsg14
Nsg15
V39e6a1fb-5217-4e22-ab2e-68d50d11faeb
p8847
sbNg8
(g9
g10
NtRp8848
(dp8849
g13
Nsg14
Nsg15
VLandScan Global Population Database - version 15, Jul. 2014
p8850
sbNNNNNg8
(g9
g10
NtRp8851
(dp8852
g13
Nsg14
Nsg15
VUsing an innovative approach with Geographic Information Systems and Remote Sensing, ORNL\u2019s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available and represents an \u201cambient population\u201d (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region.\u000a\u000aPurpose: LandScan Global was developed for the U.S. Department of Defense and is used for rapid consequence and risk assessment as well as emergency planning and management.\u000a\u000aDetailed information are to be found in cover_letter_ls13.pdf
p8853
sbNNg8
(g9
g10
NtRp8854
(dp8855
g13
Nsg14
Nsg15
VFALSE
p8856
sbNNNg8
(g9
g10
NtRp8857
(dp8858
g13
Nsg14
Nsg15
VFALSE
p8859
sbNNg8
(g9
g10
NtRp8860
(dp8861
g13
Nsg14
Nsg15
VFALSE
p8862
sbNNg8
(g9
g10
NtRp8863
(dp8864
g13
Nsg14
Nsg15
VFALSE
p8865
sbNg8
(g9
g10
NtRp8866
(dp8867
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/39e6a1fb-5217-4e22-ab2e-68d50d11faeb.png
p8868
sbg8
(g9
g10
NtRp8869
(dp8870
g13
Nsg14
Nsg15
VEPSG:4326
p8871
sbg8
(g9
g10
NtRp8872
(dp8873
g13
Nsg14
Nsg15
V2019-06-04
p8874
sbNg8
(g9
g10
NtRp8875
(dp8876
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p8877
sbg8
(g9
g10
NtRp8878
(dp8879
g13
Nsg14
Nsg15
Vdemography|population density|population distribution
p8880
sbg8
(g9
g10
NtRp8881
(dp8882
g13
Nsg14
Nsg15
Vgrid
p8883
sbg8
(g9
g10
NtRp8884
(dp8885
g13
Nsg14
Nsg15
VAIG
p8886
sbNg8
(g9
g10
NtRp8887
(dp8888
g13
Nsg14
Nsg15
V1km
p8889
sbNg8
(g9
g10
NtRp8890
(dp8891
g13
Nsg14
Nsg15
VDetailed information are to be found in cover_letter_ls13.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2013.htm.
p8892
sbg8
(g9
g10
NtRp8893
(dp8894
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39e6a1fb-5217-4e22-ab2e-68d50d11faeb
p8895
sbNNg8
(g9
g10
NtRp8896
(dp8897
g13
Nsg14
Nsg15
VFALSE
p8898
sbg8
(g9
g10
NtRp8899
(dp8900
g13
Nsg14
Nsg15
VGlobal|Population|Population count|people|world-wide|World
p8901
sbg8
(g9
g10
NtRp8902
(dp8903
g13
Nsg14
Nsg15
VLicense. Terms and conditions of use are available in the file License.pdf
p8904
sbg8
(g9
g10
NtRp8905
(dp8906
g13
Nsg14
Nsg15
VFALSE
p8907
sbNg8
(g9
g10
NtRp8908
(dp8909
g13
Nsg14
Nsg15
VFALSE
p8910
sbNNNNNNNg8
(g9
g10
NtRp8911
(dp8912
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8913
(dp8914
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8915
(dp8916
g13
Nsg14
Nsg15
Vornl_g_4326_30_arcsec_landscan_2013_rev15
p8917
sbNg8
(g9
g10
NtRp8918
(dp8919
g13
Nsg14
Nsg15
Vcompleted
p8920
sbtp8921
a(g8
(g9
g10
NtRp8922
(dp8923
g13
Nsg14
Nsg15
V42a795d9-a082-4269-9f7c-0002d4bd9a4a
p8924
sbNg8
(g9
g10
NtRp8925
(dp8926
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Kecskemét
p8927
sbNNNNNg8
(g9
g10
NtRp8928
(dp8929
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p8930
sbg8
(g23
g10
NtRp8931
(dp8932
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p8933
sbNg8
(g9
g10
NtRp8934
(dp8935
g13
Nsg14
Nsg15
VFALSE
p8936
sbNNNg8
(g9
g10
NtRp8937
(dp8938
g13
Nsg14
Nsg15
VFALSE
p8939
sbNNg8
(g9
g10
NtRp8940
(dp8941
g13
Nsg14
Nsg15
VFALSE
p8942
sbNNg8
(g9
g10
NtRp8943
(dp8944
g13
Nsg14
Nsg15
VFALSE
p8945
sbNg8
(g9
g10
NtRp8946
(dp8947
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/42a795d9-a082-4269-9f7c-0002d4bd9a4a.png
p8948
sbNg8
(g9
g10
NtRp8949
(dp8950
g13
Nsg14
Nsg15
V2019-06-04
p8951
sbNg8
(g9
g10
NtRp8952
(dp8953
g13
Nsg14
Nsg15
VLand use
p8954
sbg8
(g9
g10
NtRp8955
(dp8956
g13
Nsg14
Nsg15
Vland use|urban area
p8957
sbg8
(g9
g10
NtRp8958
(dp8959
g13
Nsg14
Nsg15
Vvector
p8960
sbg8
(g9
g10
NtRp8961
(dp8962
g13
Nsg14
Nsg15
VSHP
p8963
sbNg8
(g9
g10
NtRp8964
(dp8965
g13
Nsg14
Nsg15
V1:10000
p8966
sbNg8
(g9
g10
NtRp8967
(dp8968
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50752550707310949121B0 (PS) (Date: 2007/07/31) \u000a                      * Spot 5 2,50 m - 50772550607070932512B3 (PS) (Date: 2006/07/07)
p8969
sbg8
(g9
g10
NtRp8970
(dp8971
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42a795d9-a082-4269-9f7c-0002d4bd9a4a
p8972
sbNNg8
(g9
g10
NtRp8973
(dp8974
g13
Nsg14
Nsg15
VFALSE
p8975
sbg8
(g9
g10
NtRp8976
(dp8977
g13
Nsg14
Nsg15
VHungary|Kecskemét
p8978
sbg8
(g9
g10
NtRp8979
(dp8980
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p8981
sbg8
(g9
g10
NtRp8982
(dp8983
g13
Nsg14
Nsg15
VFALSE
p8984
sbNg8
(g9
g10
NtRp8985
(dp8986
g13
Nsg14
Nsg15
VFALSE
p8987
sbNNNNNNNg8
(g9
g10
NtRp8988
(dp8989
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp8990
(dp8991
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp8992
(dp8993
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu008l_kecskemet_2006-2007
p8994
sbNg8
(g9
g10
NtRp8995
(dp8996
g13
Nsg14
Nsg15
Vobsolete
p8997
sbtp8998
a(g8
(g9
g10
NtRp8999
(dp9000
g13
Nsg14
Nsg15
Vbb67a4a9-cb83-49cf-b4e0-b9056bd6e07a
p9001
sbNg8
(g9
g10
NtRp9002
(dp9003
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Radom
p9004
sbNNNNNg8
(g9
g10
NtRp9005
(dp9006
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p9007
sbg8
(g23
g10
NtRp9008
(dp9009
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p9010
sbNg8
(g9
g10
NtRp9011
(dp9012
g13
Nsg14
Nsg15
VFALSE
p9013
sbNNNg8
(g9
g10
NtRp9014
(dp9015
g13
Nsg14
Nsg15
VFALSE
p9016
sbNNg8
(g9
g10
NtRp9017
(dp9018
g13
Nsg14
Nsg15
VFALSE
p9019
sbNNg8
(g9
g10
NtRp9020
(dp9021
g13
Nsg14
Nsg15
VFALSE
p9022
sbNg8
(g9
g10
NtRp9023
(dp9024
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a.png
p9025
sbNg8
(g9
g10
NtRp9026
(dp9027
g13
Nsg14
Nsg15
V2019-06-04
p9028
sbNg8
(g9
g10
NtRp9029
(dp9030
g13
Nsg14
Nsg15
VLand use
p9031
sbg8
(g9
g10
NtRp9032
(dp9033
g13
Nsg14
Nsg15
Vland use|urban area
p9034
sbg8
(g9
g10
NtRp9035
(dp9036
g13
Nsg14
Nsg15
Vvector
p9037
sbg8
(g9
g10
NtRp9038
(dp9039
g13
Nsg14
Nsg15
VSHP
p9040
sbNg8
(g9
g10
NtRp9041
(dp9042
g13
Nsg14
Nsg15
V1:10000
p9043
sbNg8
(g9
g10
NtRp9044
(dp9045
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394006 (PS) (Date: 2005/09/09) \u000a                      * Spot 5 2,50 m - 00186394007 (PS) (Date: 2005/09/09) \u000a                      * Spot 5 2,50 m - 00186394008 (PS) (Date: 2005/09/19)
p9046
sbg8
(g9
g10
NtRp9047
(dp9048
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a
p9049
sbNNg8
(g9
g10
NtRp9050
(dp9051
g13
Nsg14
Nsg15
VFALSE
p9052
sbg8
(g9
g10
NtRp9053
(dp9054
g13
Nsg14
Nsg15
VPoland|Radom
p9055
sbg8
(g9
g10
NtRp9056
(dp9057
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p9058
sbg8
(g9
g10
NtRp9059
(dp9060
g13
Nsg14
Nsg15
VFALSE
p9061
sbNg8
(g9
g10
NtRp9062
(dp9063
g13
Nsg14
Nsg15
VFALSE
p9064
sbNNNNNNNg8
(g9
g10
NtRp9065
(dp9066
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9067
(dp9068
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9069
(dp9070
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl025l_radom_2005
p9071
sbNg8
(g9
g10
NtRp9072
(dp9073
g13
Nsg14
Nsg15
Vobsolete
p9074
sbtp9075
a(g8
(g9
g10
NtRp9076
(dp9077
g13
Nsg14
Nsg15
Vbd214bd1-f3bc-4369-899b-bda331b94432
p9078
sbNg8
(g9
g10
NtRp9079
(dp9080
g13
Nsg14
Nsg15
VGISCO - Nomenclature of Territorial Units for Statistics 2016 (NUTS) - PRE-RELEASE VERSION, Jan. 2018
p9081
sbNNNNNg8
(g9
g10
NtRp9082
(dp9083
g13
Nsg14
Nsg15
VThis dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg  in Germany. The NUTS classification has been officially established through Regulation (EC) No  2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016.\u000aThis metadata only refers to a pre-release version of the full nuts 2016 dataset at 100k (it does not contain Albanian boundaries) and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset.\u000aThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.
p9084
sbNNg8
(g9
g10
NtRp9085
(dp9086
g13
Nsg14
Nsg15
VFALSE
p9087
sbNNNg8
(g9
g10
NtRp9088
(dp9089
g13
Nsg14
Nsg15
VFALSE
p9090
sbNNg8
(g9
g10
NtRp9091
(dp9092
g13
Nsg14
Nsg15
VFALSE
p9093
sbNNg8
(g9
g10
NtRp9094
(dp9095
g13
Nsg14
Nsg15
VFALSE
p9096
sbNg8
(g9
g10
NtRp9097
(dp9098
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd214bd1-f3bc-4369-899b-bda331b94432.png
p9099
sbNg8
(g9
g10
NtRp9100
(dp9101
g13
Nsg14
Nsg15
V2019-06-04
p9102
sbNg8
(g9
g10
NtRp9103
(dp9104
g13
Nsg14
Nsg15
VStatistical units
p9105
sbg8
(g9
g10
NtRp9106
(dp9107
g13
Nsg14
Nsg15
Vstatistical information system
p9108
sbg8
(g9
g10
NtRp9109
(dp9110
g13
Nsg14
Nsg15
Vvector
p9111
sbg8
(g9
g10
NtRp9112
(dp9113
g13
Nsg14
Nsg15
VFGeo
p9114
sbNg8
(g9
g10
NtRp9115
(dp9116
g13
Nsg14
Nsg15
V1:100000
p9117
sbNg8
(g9
g10
NtRp9118
(dp9119
g13
Nsg14
Nsg15
VThis dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.
p9120
sbg8
(g9
g10
NtRp9121
(dp9122
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd214bd1-f3bc-4369-899b-bda331b94432
p9123
sbNNg8
(g9
g10
NtRp9124
(dp9125
g13
Nsg14
Nsg15
VFALSE
p9126
sbg8
(g9
g10
NtRp9127
(dp9128
g13
Nsg14
Nsg15
VEFTA4|EU28|Montenegro|North Macedonia|Turkey
p9129
sbg8
(g9
g10
NtRp9130
(dp9131
g13
Nsg14
Nsg15
VThe European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.
p9132
sbg8
(g9
g10
NtRp9133
(dp9134
g13
Nsg14
Nsg15
VFALSE
p9135
sbNg8
(g9
g10
NtRp9136
(dp9137
g13
Nsg14
Nsg15
VFALSE
p9138
sbNNNNNNNg8
(g9
g10
NtRp9139
(dp9140
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9141
(dp9142
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9143
(dp9144
g13
Nsg14
Nsg15
Veurostat_v_4258_100_k_gisco-nuts_2016
p9145
sbNg8
(g9
g10
NtRp9146
(dp9147
g13
Nsg14
Nsg15
Vobsolete
p9148
sbtp9149
a(g8
(g9
g10
NtRp9150
(dp9151
g13
Nsg14
Nsg15
Va89237bb-cc29-4cbb-81a6-b009d072da70
p9152
sbNg8
(g9
g10
NtRp9153
(dp9154
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Nijmegen
p9155
sbNNNNNg8
(g9
g10
NtRp9156
(dp9157
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p9158
sbg8
(g23
g10
NtRp9159
(dp9160
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p9161
sbNg8
(g9
g10
NtRp9162
(dp9163
g13
Nsg14
Nsg15
VFALSE
p9164
sbNNNg8
(g9
g10
NtRp9165
(dp9166
g13
Nsg14
Nsg15
VFALSE
p9167
sbNNg8
(g9
g10
NtRp9168
(dp9169
g13
Nsg14
Nsg15
VFALSE
p9170
sbNNg8
(g9
g10
NtRp9171
(dp9172
g13
Nsg14
Nsg15
VFALSE
p9173
sbNg8
(g9
g10
NtRp9174
(dp9175
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a89237bb-cc29-4cbb-81a6-b009d072da70.png
p9176
sbNg8
(g9
g10
NtRp9177
(dp9178
g13
Nsg14
Nsg15
V2019-06-04
p9179
sbNg8
(g9
g10
NtRp9180
(dp9181
g13
Nsg14
Nsg15
VLand use
p9182
sbg8
(g9
g10
NtRp9183
(dp9184
g13
Nsg14
Nsg15
Vland use|urban area
p9185
sbg8
(g9
g10
NtRp9186
(dp9187
g13
Nsg14
Nsg15
Vvector
p9188
sbg8
(g9
g10
NtRp9189
(dp9190
g13
Nsg14
Nsg15
VSHP
p9191
sbNg8
(g9
g10
NtRp9192
(dp9193
g13
Nsg14
Nsg15
V1:10000
p9194
sbNg8
(g9
g10
NtRp9195
(dp9196
g13
Nsg14
Nsg15
VCompiled from thousands of pictures from European satellites, Urban Atlas provides sufficient coverage for detailed and cost-effective mapping of larger urban zones, yielding accurate land cover and usage data. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments. More than 300 major cities in the EU will be covered by early 2011. More details can be found in the Mapping Guide (see website).
p9197
sbg8
(g9
g10
NtRp9198
(dp9199
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a89237bb-cc29-4cbb-81a6-b009d072da70
p9200
sbNNg8
(g9
g10
NtRp9201
(dp9202
g13
Nsg14
Nsg15
VFALSE
p9203
sbg8
(g9
g10
NtRp9204
(dp9205
g13
Nsg14
Nsg15
VNetherlands|Nijmegen
p9206
sbg8
(g9
g10
NtRp9207
(dp9208
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p9209
sbg8
(g9
g10
NtRp9210
(dp9211
g13
Nsg14
Nsg15
VFALSE
p9212
sbNg8
(g9
g10
NtRp9213
(dp9214
g13
Nsg14
Nsg15
VFALSE
p9215
sbNNNNNNNg8
(g9
g10
NtRp9216
(dp9217
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9218
(dp9219
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9220
(dp9221
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl013l_nijmegen
p9222
sbNg8
(g9
g10
NtRp9223
(dp9224
g13
Nsg14
Nsg15
Vobsolete
p9225
sbtp9226
a(g8
(g9
g10
NtRp9227
(dp9228
g13
Nsg14
Nsg15
V61e01978-57d2-41fe-907f-503b5567f979
p9229
sbNg8
(g9
g10
NtRp9230
(dp9231
g13
Nsg14
Nsg15
VBiogeographical regions, Europe 2011, rev. 1
p9232
sbNNNNNg8
(g9
g10
NtRp9233
(dp9234
g13
Nsg14
Nsg15
VThe biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\u000a\u000aThe structure of the attribute table has been changed in this revised version.\u000aThe mapping from old field names to new ones is as follows:\u000a   NAME -> short_name\u000a   ABBRE -> pre_2012\u000a   code -> code\u000a   label -> name
p9235
sbg8
(g23
g10
NtRp9236
(dp9237
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-1
p9238
sbNg8
(g9
g10
NtRp9239
(dp9240
g13
Nsg14
Nsg15
VFALSE
p9241
sbNNNg8
(g9
g10
NtRp9242
(dp9243
g13
Nsg14
Nsg15
VFALSE
p9244
sbNNg8
(g9
g10
NtRp9245
(dp9246
g13
Nsg14
Nsg15
VFALSE
p9247
sbNNg8
(g9
g10
NtRp9248
(dp9249
g13
Nsg14
Nsg15
VFALSE
p9250
sbNg8
(g9
g10
NtRp9251
(dp9252
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/61e01978-57d2-41fe-907f-503b5567f979.png
p9253
sbg8
(g9
g10
NtRp9254
(dp9255
g13
Nsg14
Nsg15
VEPSG:3035
p9256
sbg8
(g9
g10
NtRp9257
(dp9258
g13
Nsg14
Nsg15
V2019-06-04
p9259
sbNNg8
(g9
g10
NtRp9260
(dp9261
g13
Nsg14
Nsg15
Vbiodiversity
p9262
sbg8
(g9
g10
NtRp9263
(dp9264
g13
Nsg14
Nsg15
Vvector
p9265
sbg8
(g9
g10
NtRp9266
(dp9267
g13
Nsg14
Nsg15
VSHP
p9268
sbNg8
(g9
g10
NtRp9269
(dp9270
g13
Nsg14
Nsg15
V1:10000000
p9271
sbNg8
(g9
g10
NtRp9272
(dp9273
g13
Nsg14
Nsg15
VBiogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\u000a\u000aImproved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\u000a\u000aThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.
p9274
sbg8
(g9
g10
NtRp9275
(dp9276
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61e01978-57d2-41fe-907f-503b5567f979
p9277
sbNNg8
(g9
g10
NtRp9278
(dp9279
g13
Nsg14
Nsg15
VFALSE
p9280
sbg8
(g9
g10
NtRp9281
(dp9282
g13
Nsg14
Nsg15
VBio-geographical regions
p9283
sbg8
(g9
g10
NtRp9284
(dp9285
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright
p9286
sbg8
(g9
g10
NtRp9287
(dp9288
g13
Nsg14
Nsg15
VFALSE
p9289
sbg8
(g9
g10
NtRp9290
(dp9291
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9292
sbg8
(g9
g10
NtRp9293
(dp9294
g13
Nsg14
Nsg15
VFALSE
p9295
sbNNNNNNNg8
(g9
g10
NtRp9296
(dp9297
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9298
(dp9299
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9300
(dp9301
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_biogeo-regions_2011_rev01
p9302
sbNg8
(g9
g10
NtRp9303
(dp9304
g13
Nsg14
Nsg15
Vsuperseded
p9305
sbtp9306
a(g8
(g9
g10
NtRp9307
(dp9308
g13
Nsg14
Nsg15
Vd8ca6b33-64c2-454a-aaa0-bb218a9e9ec9
p9309
sbNg8
(g9
g10
NtRp9310
(dp9311
g13
Nsg14
Nsg15
VCDDA polygons for public access - version 13, Nov. 2015
p9312
sbNNNNNg8
(g9
g10
NtRp9313
(dp9314
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".
p9315
sbg8
(g23
g10
NtRp9316
(dp9317
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-10
p9318
sbNg8
(g9
g10
NtRp9319
(dp9320
g13
Nsg14
Nsg15
VFALSE
p9321
sbNNNg8
(g9
g10
NtRp9322
(dp9323
g13
Nsg14
Nsg15
VFALSE
p9324
sbNNg8
(g9
g10
NtRp9325
(dp9326
g13
Nsg14
Nsg15
VFALSE
p9327
sbNNg8
(g9
g10
NtRp9328
(dp9329
g13
Nsg14
Nsg15
VFALSE
p9330
sbNg8
(g9
g10
NtRp9331
(dp9332
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9.png
p9333
sbg8
(g9
g10
NtRp9334
(dp9335
g13
Nsg14
Nsg15
VEPSG:3035
p9336
sbg8
(g9
g10
NtRp9337
(dp9338
g13
Nsg14
Nsg15
V2019-06-04
p9339
sbNNg8
(g9
g10
NtRp9340
(dp9341
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p9342
sbg8
(g9
g10
NtRp9343
(dp9344
g13
Nsg14
Nsg15
Vvector
p9345
sbg8
(g9
g10
NtRp9346
(dp9347
g13
Nsg14
Nsg15
VSHP|SQLite
p9348
sbNg8
(g9
g10
NtRp9349
(dp9350
g13
Nsg14
Nsg15
V1:100000
p9351
sbNg8
(g9
g10
NtRp9352
(dp9353
g13
Nsg14
Nsg15
VProduction process of the internal version is explained in the document CDDA_version_13.pdf available together with the data set.
p9354
sbg8
(g9
g10
NtRp9355
(dp9356
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9
p9357
sbNNg8
(g9
g10
NtRp9358
(dp9359
g13
Nsg14
Nsg15
VFALSE
p9360
sbg8
(g9
g10
NtRp9361
(dp9362
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia
p9363
sbg8
(g9
g10
NtRp9364
(dp9365
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".
p9366
sbg8
(g9
g10
NtRp9367
(dp9368
g13
Nsg14
Nsg15
VFALSE
p9369
sbg8
(g9
g10
NtRp9370
(dp9371
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9372
sbg8
(g9
g10
NtRp9373
(dp9374
g13
Nsg14
Nsg15
VFALSE
p9375
sbNNNNNNNg8
(g9
g10
NtRp9376
(dp9377
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9378
(dp9379
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9380
(dp9381
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2014_rev13-0
p9382
sbNg8
(g9
g10
NtRp9383
(dp9384
g13
Nsg14
Nsg15
Vsuperseded
p9385
sbtp9386
a(g8
(g9
g10
NtRp9387
(dp9388
g13
Nsg14
Nsg15
V47142840-45c7-4e23-a497-c6fc4fd84a48
p9389
sbNg8
(g9
g10
NtRp9390
(dp9391
g13
Nsg14
Nsg15
VEEA coastline for analysis (raw) - version 1.0, Jun. 2013
p9392
sbNNNNNg8
(g9
g10
NtRp9393
(dp9394
g13
Nsg14
Nsg15
VThe criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]  A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. This dataset consists of a series of contiguous coastal segments. The source of each of them (EUDEM, GSHHG...) is available as attribute.
p9395
sbg8
(g23
g10
NtRp9396
(dp9397
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis
p9398
sbNg8
(g9
g10
NtRp9399
(dp9400
g13
Nsg14
Nsg15
VFALSE
p9401
sbNNNg8
(g9
g10
NtRp9402
(dp9403
g13
Nsg14
Nsg15
VFALSE
p9404
sbNNg8
(g9
g10
NtRp9405
(dp9406
g13
Nsg14
Nsg15
VFALSE
p9407
sbNNg8
(g9
g10
NtRp9408
(dp9409
g13
Nsg14
Nsg15
VFALSE
p9410
sbNg8
(g9
g10
NtRp9411
(dp9412
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/47142840-45c7-4e23-a497-c6fc4fd84a48.png
p9413
sbg8
(g9
g10
NtRp9414
(dp9415
g13
Nsg14
Nsg15
VEPSG:3035
p9416
sbg8
(g9
g10
NtRp9417
(dp9418
g13
Nsg14
Nsg15
V2019-06-04
p9419
sbNNg8
(g9
g10
NtRp9420
(dp9421
g13
Nsg14
Nsg15
Vcoast
p9422
sbg8
(g9
g10
NtRp9423
(dp9424
g13
Nsg14
Nsg15
Vvector
p9425
sbg8
(g9
g10
NtRp9426
(dp9427
g13
Nsg14
Nsg15
VSHP
p9428
sbNg8
(g9
g10
NtRp9429
(dp9430
g13
Nsg14
Nsg15
V1:100000
p9431
sbNg8
(g9
g10
NtRp9432
(dp9433
g13
Nsg14
Nsg15
VThe criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]  A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason the the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile.\u000a\u000aThe creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies).\u000a\u000aThe patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.
p9434
sbg8
(g9
g10
NtRp9435
(dp9436
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47142840-45c7-4e23-a497-c6fc4fd84a48
p9437
sbNNg8
(g9
g10
NtRp9438
(dp9439
g13
Nsg14
Nsg15
VFALSE
p9440
sbg8
(g9
g10
NtRp9441
(dp9442
g13
Nsg14
Nsg15
VEurope|Sea regions
p9443
sbg8
(g9
g10
NtRp9444
(dp9445
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p9446
sbg8
(g9
g10
NtRp9447
(dp9448
g13
Nsg14
Nsg15
VFALSE
p9449
sbg8
(g9
g10
NtRp9450
(dp9451
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9452
sbg8
(g9
g10
NtRp9453
(dp9454
g13
Nsg14
Nsg15
VFALSE
p9455
sbNNNNNNNg8
(g9
g10
NtRp9456
(dp9457
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9458
(dp9459
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9460
(dp9461
g13
Nsg14
Nsg15
Veea_v_3035_100_k_coastline-anal-raw_1995-2012_rev01
p9462
sbNg8
(g9
g10
NtRp9463
(dp9464
g13
Nsg14
Nsg15
Vsuperseded
p9465
sbtp9466
a(g8
(g9
g10
NtRp9467
(dp9468
g13
Nsg14
Nsg15
V7e98455f-8bcd-4162-85ed-2770c28112b3
p9469
sbNg8
(g9
g10
NtRp9470
(dp9471
g13
Nsg14
Nsg15
VCDDA polygons for public access - version 14, Dec. 2016
p9472
sbNNNNNg8
(g9
g10
NtRp9473
(dp9474
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".
p9475
sbg8
(g23
g10
NtRp9476
(dp9477
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-11
p9478
sbNg8
(g9
g10
NtRp9479
(dp9480
g13
Nsg14
Nsg15
VFALSE
p9481
sbNNNg8
(g9
g10
NtRp9482
(dp9483
g13
Nsg14
Nsg15
VFALSE
p9484
sbNNg8
(g9
g10
NtRp9485
(dp9486
g13
Nsg14
Nsg15
VFALSE
p9487
sbNNg8
(g9
g10
NtRp9488
(dp9489
g13
Nsg14
Nsg15
VFALSE
p9490
sbNg8
(g9
g10
NtRp9491
(dp9492
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e98455f-8bcd-4162-85ed-2770c28112b3.png
p9493
sbg8
(g9
g10
NtRp9494
(dp9495
g13
Nsg14
Nsg15
VEPSG:3035
p9496
sbg8
(g9
g10
NtRp9497
(dp9498
g13
Nsg14
Nsg15
V2019-06-04
p9499
sbNNg8
(g9
g10
NtRp9500
(dp9501
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p9502
sbg8
(g9
g10
NtRp9503
(dp9504
g13
Nsg14
Nsg15
Vvector
p9505
sbg8
(g9
g10
NtRp9506
(dp9507
g13
Nsg14
Nsg15
VSHP|SQLite
p9508
sbNg8
(g9
g10
NtRp9509
(dp9510
g13
Nsg14
Nsg15
V1:100000
p9511
sbNg8
(g9
g10
NtRp9512
(dp9513
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_14.pdf available together with the data set.
p9514
sbg8
(g9
g10
NtRp9515
(dp9516
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e98455f-8bcd-4162-85ed-2770c28112b3
p9517
sbNNg8
(g9
g10
NtRp9518
(dp9519
g13
Nsg14
Nsg15
VFALSE
p9520
sbg8
(g9
g10
NtRp9521
(dp9522
g13
Nsg14
Nsg15
VProtected sites|Albania|Bosnia and Herzegovina|EU28|Iceland|Kosovo|Liechtenstein|Montenegro|North Macedonia|Norway|Serbia|Switzerland
p9523
sbg8
(g9
g10
NtRp9524
(dp9525
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".
p9526
sbg8
(g9
g10
NtRp9527
(dp9528
g13
Nsg14
Nsg15
VFALSE
p9529
sbg8
(g9
g10
NtRp9530
(dp9531
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9532
sbg8
(g9
g10
NtRp9533
(dp9534
g13
Nsg14
Nsg15
VFALSE
p9535
sbNNNNNNNg8
(g9
g10
NtRp9536
(dp9537
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9538
(dp9539
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9540
(dp9541
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2015_rev14-0
p9542
sbNg8
(g9
g10
NtRp9543
(dp9544
g13
Nsg14
Nsg15
Vsuperseded
p9545
sbtp9546
a(g8
(g9
g10
NtRp9547
(dp9548
g13
Nsg14
Nsg15
V548f9a25-2488-4d86-949e-0a286515eba8
p9549
sbNg8
(g9
g10
NtRp9550
(dp9551
g13
Nsg14
Nsg15
VZones in relation to EU air quality thresholds in 2010 - version 1, August 2012
p9552
sbNNNNNg8
(g9
g10
NtRp9553
(dp9554
g13
Nsg14
Nsg15
VMember States provide an annual assessment of air quality in comparison to EU air quality thresholds.\u000a			Commission Decision 2004/461/EC provides a questionnaire to be used by the Member States for the annual reporting under the Framework Directive and the related four Daughter Directives 1999/30/EC, 2000/69/EC, 2002/3/EC and 2004/107/EC. Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\u000a\u000aMore information about EU air quality standards is available on the DG Environment web site at http://ec.europa.eu/environment/air/quality/standards.htm.\u000a\u000aPursuant to Article 22 of Directive 2008/50/EC, Member States may notify to the Commission when in their opinion the conditions are met in a given zone or agglomeration for postponing the attainment deadline for the limit values for nitrogen dioxide and benzene, or for being exempt from the limit values for PM10. More information is available at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm .\u000a\u000aAdditional information is available in The annual technical overview and analysis of the reports submitted by Member States (http://acm.eionet.europa.eu/databases/aq-questionnaire/annual_reports_aqq.html).\u000a\u000a\u000aZones are designated for the following pollutants:\u000a  B \u2013 Benzene;\u000a  BaP \u2013 Benzo(a)pyrene;\u000a  C \u2013 Carbon Monoxide;\u000a  L \u2013 lead;\u000a  AsCdNi \u2013 Heavy metals: Arsenic, Cadmium, Nickel;\u000a  NH \u2013 Nitrogen Dioxide for human protection;\u000a  NV \u2013 NOx  for vegetation protection;\u000a  O \u2013 ozone;\u000a  PM10 \u2013 particulate matter less than 10 microgrammes;\u000a  PM25 \u2013 particulate matter less than 2.5 microgrammes;\u000a  SE \u2013 SO2 for ecosystems protection;\u000a  SH \u2013 SO2 for human protection.
p9555
sbg8
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g10
NtRp9556
(dp9557
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/zones-in-relation-to-eu-air-quality-thresholds-3
p9558
sbNg8
(g9
g10
NtRp9559
(dp9560
g13
Nsg14
Nsg15
VFALSE
p9561
sbNNNg8
(g9
g10
NtRp9562
(dp9563
g13
Nsg14
Nsg15
VFALSE
p9564
sbNNg8
(g9
g10
NtRp9565
(dp9566
g13
Nsg14
Nsg15
VFALSE
p9567
sbNNg8
(g9
g10
NtRp9568
(dp9569
g13
Nsg14
Nsg15
VFALSE
p9570
sbNg8
(g9
g10
NtRp9571
(dp9572
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/548f9a25-2488-4d86-949e-0a286515eba8.png
p9573
sbg8
(g9
g10
NtRp9574
(dp9575
g13
Nsg14
Nsg15
VEPSG:4326
p9576
sbg8
(g9
g10
NtRp9577
(dp9578
g13
Nsg14
Nsg15
V2019-06-04
p9579
sbNNg8
(g9
g10
NtRp9580
(dp9581
g13
Nsg14
Nsg15
Vair quality management
p9582
sbg8
(g9
g10
NtRp9583
(dp9584
g13
Nsg14
Nsg15
Vvector
p9585
sbg8
(g9
g10
NtRp9586
(dp9587
g13
Nsg14
Nsg15
VSpatialite
p9588
sbNg8
(g9
g10
NtRp9589
(dp9590
g13
Nsg14
Nsg15
V1:1000000
p9591
sbNg8
(g9
g10
NtRp9592
(dp9593
g13
Nsg14
Nsg15
VMember States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\u000a				  Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389]\u000a				  National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.
p9594
sbg8
(g9
g10
NtRp9595
(dp9596
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/548f9a25-2488-4d86-949e-0a286515eba8
p9597
sbNNg8
(g9
g10
NtRp9598
(dp9599
g13
Nsg14
Nsg15
VFALSE
p9600
sbg8
(g9
g10
NtRp9601
(dp9602
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p9603
sbg8
(g9
g10
NtRp9604
(dp9605
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p9606
sbg8
(g9
g10
NtRp9607
(dp9608
g13
Nsg14
Nsg15
VFALSE
p9609
sbg8
(g9
g10
NtRp9610
(dp9611
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9612
sbg8
(g9
g10
NtRp9613
(dp9614
g13
Nsg14
Nsg15
VFALSE
p9615
sbNNNNNNNg8
(g9
g10
NtRp9616
(dp9617
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9618
(dp9619
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9620
(dp9621
g13
Nsg14
Nsg15
Veea_v_4326_1_mio_zones-aq-thresholds_2010
p9622
sbNg8
(g9
g10
NtRp9623
(dp9624
g13
Nsg14
Nsg15
Vsuperseded
p9625
sbtp9626
a(g8
(g9
g10
NtRp9627
(dp9628
g13
Nsg14
Nsg15
V0c989ad0-0613-4383-95fa-c06c0266e0fb
p9629
sbNg8
(g9
g10
NtRp9630
(dp9631
g13
Nsg14
Nsg15
VEEA coastline for analysis (line) - version 2.0, Sep. 2015
p9632
sbNNNNNg8
(g9
g10
NtRp9633
(dp9634
g13
Nsg14
Nsg15
VThe EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\u000a\u000aThis dataset consists of one single line for the whole coastline.
p9635
sbNNg8
(g9
g10
NtRp9636
(dp9637
g13
Nsg14
Nsg15
VFALSE
p9638
sbNNNg8
(g9
g10
NtRp9639
(dp9640
g13
Nsg14
Nsg15
VFALSE
p9641
sbNNg8
(g9
g10
NtRp9642
(dp9643
g13
Nsg14
Nsg15
VFALSE
p9644
sbNNg8
(g9
g10
NtRp9645
(dp9646
g13
Nsg14
Nsg15
VFALSE
p9647
sbNg8
(g9
g10
NtRp9648
(dp9649
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c989ad0-0613-4383-95fa-c06c0266e0fb.png
p9650
sbg8
(g9
g10
NtRp9651
(dp9652
g13
Nsg14
Nsg15
VEPSG:3035
p9653
sbg8
(g9
g10
NtRp9654
(dp9655
g13
Nsg14
Nsg15
V2019-06-04
p9656
sbNNg8
(g9
g10
NtRp9657
(dp9658
g13
Nsg14
Nsg15
Vcoast
p9659
sbg8
(g9
g10
NtRp9660
(dp9661
g13
Nsg14
Nsg15
Vvector
p9662
sbg8
(g9
g10
NtRp9663
(dp9664
g13
Nsg14
Nsg15
VSHP
p9665
sbNg8
(g9
g10
NtRp9666
(dp9667
g13
Nsg14
Nsg15
V1:100000
p9668
sbNg8
(g9
g10
NtRp9669
(dp9670
g13
Nsg14
Nsg15
VDissolve: in order to create a coastline of one single line, first a field is added to the parent dataset (coastline raw), and the same value is set for all the features; the feature class is then dissolved using that field
p9671
sbg8
(g9
g10
NtRp9672
(dp9673
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c989ad0-0613-4383-95fa-c06c0266e0fb
p9674
sbNNg8
(g9
g10
NtRp9675
(dp9676
g13
Nsg14
Nsg15
VFALSE
p9677
sbg8
(g9
g10
NtRp9678
(dp9679
g13
Nsg14
Nsg15
VEurope|Sea regions
p9680
sbg8
(g9
g10
NtRp9681
(dp9682
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p9683
sbg8
(g9
g10
NtRp9684
(dp9685
g13
Nsg14
Nsg15
VFALSE
p9686
sbg8
(g9
g10
NtRp9687
(dp9688
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9689
sbg8
(g9
g10
NtRp9690
(dp9691
g13
Nsg14
Nsg15
VFALSE
p9692
sbNNNNNNNg8
(g9
g10
NtRp9693
(dp9694
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9695
(dp9696
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9697
(dp9698
g13
Nsg14
Nsg15
Veea_v_3035_100_k_coastline-anal-line_1995-2012_rev02
p9699
sbNg8
(g9
g10
NtRp9700
(dp9701
g13
Nsg14
Nsg15
Vsuperseded
p9702
sbtp9703
a(g8
(g9
g10
NtRp9704
(dp9705
g13
Nsg14
Nsg15
Vb9f13118-4ef4-4ffd-9c95-4e902477edb2
p9706
sbNg8
(g9
g10
NtRp9707
(dp9708
g13
Nsg14
Nsg15
VAirBase: Validated measurements of the concentration of air pollutants 1969-2010 - version 6, Feb. 2012
p9709
sbNNNNNg8
(g9
g10
NtRp9710
(dp9711
g13
Nsg14
Nsg15
VAirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\u000aThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\u000aThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\u000a\u000aAll pollutants might not be monitored at all stations.
p9712
sbNNg8
(g9
g10
NtRp9713
(dp9714
g13
Nsg14
Nsg15
VFALSE
p9715
sbNNNg8
(g9
g10
NtRp9716
(dp9717
g13
Nsg14
Nsg15
VFALSE
p9718
sbNNg8
(g9
g10
NtRp9719
(dp9720
g13
Nsg14
Nsg15
VFALSE
p9721
sbNNg8
(g9
g10
NtRp9722
(dp9723
g13
Nsg14
Nsg15
VFALSE
p9724
sbNg8
(g9
g10
NtRp9725
(dp9726
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9f13118-4ef4-4ffd-9c95-4e902477edb2.png
p9727
sbg8
(g9
g10
NtRp9728
(dp9729
g13
Nsg14
Nsg15
VEPSG:4326
p9730
sbg8
(g9
g10
NtRp9731
(dp9732
g13
Nsg14
Nsg15
V2019-06-04
p9733
sbNNg8
(g9
g10
NtRp9734
(dp9735
g13
Nsg14
Nsg15
Vair quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound
p9736
sbg8
(g9
g10
NtRp9737
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g13
Nsg14
Nsg15
Vvector
p9739
sbg8
(g9
g10
NtRp9740
(dp9741
g13
Nsg14
Nsg15
VText
p9742
sbNg8
(g9
g10
NtRp9743
(dp9744
g13
Nsg14
Nsg15
V1:10000
p9745
sbNg8
(g9
g10
NtRp9746
(dp9747
g13
Nsg14
Nsg15
V- Countries deliver to Reportnet/CDR.\u000a- ETC runs standard checks and provides feedback in CDR.\u000a- Countries possibly redeliver.\u000a- ETC compiles a European dataset and delivers it to EEA.
p9748
sbg8
(g9
g10
NtRp9749
(dp9750
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9f13118-4ef4-4ffd-9c95-4e902477edb2
p9751
sbNNg8
(g9
g10
NtRp9752
(dp9753
g13
Nsg14
Nsg15
VFALSE
p9754
sbg8
(g9
g10
NtRp9755
(dp9756
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p9757
sbg8
(g9
g10
NtRp9758
(dp9759
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p9760
sbg8
(g9
g10
NtRp9761
(dp9762
g13
Nsg14
Nsg15
VFALSE
p9763
sbg8
(g9
g10
NtRp9764
(dp9765
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9766
sbg8
(g9
g10
NtRp9767
(dp9768
g13
Nsg14
Nsg15
VFALSE
p9769
sbNNNNNNNg8
(g9
g10
NtRp9770
(dp9771
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9772
(dp9773
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9774
(dp9775
g13
Nsg14
Nsg15
Veea_v_4326_10_k_airbase-validated-meas_1969-2010_rev6
p9776
sbNg8
(g9
g10
NtRp9777
(dp9778
g13
Nsg14
Nsg15
Vobsolete
p9779
sbtp9780
a(g8
(g9
g10
NtRp9781
(dp9782
g13
Nsg14
Nsg15
Va7a50c4e-dd45-40a7-9445-95e8f76ad90a
p9783
sbNg8
(g9
g10
NtRp9784
(dp9785
g13
Nsg14
Nsg15
VEEA coastline for analysis (polygon) - version 2.0, Sep. 2015
p9786
sbNNNNNg8
(g9
g10
NtRp9787
(dp9788
g13
Nsg14
Nsg15
VThe EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\u000a\u000aThis dataset is a polygon usable as a water-land mask.
p9789
sbNNg8
(g9
g10
NtRp9790
(dp9791
g13
Nsg14
Nsg15
VFALSE
p9792
sbNNNg8
(g9
g10
NtRp9793
(dp9794
g13
Nsg14
Nsg15
VFALSE
p9795
sbNNg8
(g9
g10
NtRp9796
(dp9797
g13
Nsg14
Nsg15
VFALSE
p9798
sbNNg8
(g9
g10
NtRp9799
(dp9800
g13
Nsg14
Nsg15
VFALSE
p9801
sbNg8
(g9
g10
NtRp9802
(dp9803
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a7a50c4e-dd45-40a7-9445-95e8f76ad90a.png
p9804
sbg8
(g9
g10
NtRp9805
(dp9806
g13
Nsg14
Nsg15
VEPSG:3035
p9807
sbg8
(g9
g10
NtRp9808
(dp9809
g13
Nsg14
Nsg15
V2019-06-04
p9810
sbNNg8
(g9
g10
NtRp9811
(dp9812
g13
Nsg14
Nsg15
Vcoast
p9813
sbg8
(g9
g10
NtRp9814
(dp9815
g13
Nsg14
Nsg15
Vvector
p9816
sbg8
(g9
g10
NtRp9817
(dp9818
g13
Nsg14
Nsg15
VSHP
p9819
sbNg8
(g9
g10
NtRp9820
(dp9821
g13
Nsg14
Nsg15
V1:100000
p9822
sbNg8
(g9
g10
NtRp9823
(dp9824
g13
Nsg14
Nsg15
VPolygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South\u2013most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool \u201cFeature to Polygon\u201d.
p9825
sbg8
(g9
g10
NtRp9826
(dp9827
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a7a50c4e-dd45-40a7-9445-95e8f76ad90a
p9828
sbNNg8
(g9
g10
NtRp9829
(dp9830
g13
Nsg14
Nsg15
VFALSE
p9831
sbg8
(g9
g10
NtRp9832
(dp9833
g13
Nsg14
Nsg15
VEurope|Sea regions
p9834
sbg8
(g9
g10
NtRp9835
(dp9836
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p9837
sbg8
(g9
g10
NtRp9838
(dp9839
g13
Nsg14
Nsg15
VFALSE
p9840
sbg8
(g9
g10
NtRp9841
(dp9842
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9843
sbg8
(g9
g10
NtRp9844
(dp9845
g13
Nsg14
Nsg15
VFALSE
p9846
sbNNNNNNNg8
(g9
g10
NtRp9847
(dp9848
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9849
(dp9850
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9851
(dp9852
g13
Nsg14
Nsg15
Veea_v_3035_100_k_coastline-anal-poly_1995-2012_rev02
p9853
sbNg8
(g9
g10
NtRp9854
(dp9855
g13
Nsg14
Nsg15
Vsuperseded
p9856
sbtp9857
a(g8
(g9
g10
NtRp9858
(dp9859
g13
Nsg14
Nsg15
Vcc27629a-351c-460f-9c99-12ef57774d4e
p9860
sbNg8
(g9
g10
NtRp9861
(dp9862
g13
Nsg14
Nsg15
VAirBase: Validated measurements of the concentration of air pollutants 1969-2011 - version 7, Mar. 2013
p9863
sbNNNNNg8
(g9
g10
NtRp9864
(dp9865
g13
Nsg14
Nsg15
VAirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\u000aThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\u000aThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\u000a\u000a\u000aAll pollutants might not be monitored at all stations.
p9866
sbNNg8
(g9
g10
NtRp9867
(dp9868
g13
Nsg14
Nsg15
VFALSE
p9869
sbNNNg8
(g9
g10
NtRp9870
(dp9871
g13
Nsg14
Nsg15
VFALSE
p9872
sbNNg8
(g9
g10
NtRp9873
(dp9874
g13
Nsg14
Nsg15
VFALSE
p9875
sbNNg8
(g9
g10
NtRp9876
(dp9877
g13
Nsg14
Nsg15
VFALSE
p9878
sbNg8
(g9
g10
NtRp9879
(dp9880
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc27629a-351c-460f-9c99-12ef57774d4e.png
p9881
sbg8
(g9
g10
NtRp9882
(dp9883
g13
Nsg14
Nsg15
VEPSG:4326
p9884
sbg8
(g9
g10
NtRp9885
(dp9886
g13
Nsg14
Nsg15
V2019-06-04
p9887
sbNNg8
(g9
g10
NtRp9888
(dp9889
g13
Nsg14
Nsg15
Vair quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound
p9890
sbg8
(g9
g10
NtRp9891
(dp9892
g13
Nsg14
Nsg15
Vvector
p9893
sbg8
(g9
g10
NtRp9894
(dp9895
g13
Nsg14
Nsg15
VText
p9896
sbNg8
(g9
g10
NtRp9897
(dp9898
g13
Nsg14
Nsg15
V1:10000
p9899
sbNg8
(g9
g10
NtRp9900
(dp9901
g13
Nsg14
Nsg15
V- Countries deliver to Reportnet/CDR.\u000a- ETC runs standard checks and provides feedback in CDR.\u000a- Countries possibly redeliver.\u000a- ETC compiles a European dataset and delivers it to EEA.
p9902
sbg8
(g9
g10
NtRp9903
(dp9904
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc27629a-351c-460f-9c99-12ef57774d4e
p9905
sbNNg8
(g9
g10
NtRp9906
(dp9907
g13
Nsg14
Nsg15
VFALSE
p9908
sbg8
(g9
g10
NtRp9909
(dp9910
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p9911
sbg8
(g9
g10
NtRp9912
(dp9913
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p9914
sbg8
(g9
g10
NtRp9915
(dp9916
g13
Nsg14
Nsg15
VFALSE
p9917
sbg8
(g9
g10
NtRp9918
(dp9919
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9920
sbg8
(g9
g10
NtRp9921
(dp9922
g13
Nsg14
Nsg15
VFALSE
p9923
sbNNNNNNNg8
(g9
g10
NtRp9924
(dp9925
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp9926
(dp9927
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp9928
(dp9929
g13
Nsg14
Nsg15
Veea_v_4326_10_k_airbase-validated-meas_1969-2011_rev7
p9930
sbNg8
(g9
g10
NtRp9931
(dp9932
g13
Nsg14
Nsg15
Vobsolete
p9933
sbtp9934
a(g8
(g9
g10
NtRp9935
(dp9936
g13
Nsg14
Nsg15
Ve47ccfcf-5ae6-4541-bd4e-efe99c73be82
p9937
sbNg8
(g9
g10
NtRp9938
(dp9939
g13
Nsg14
Nsg15
VCDDA polygons for internal use - version 13, Nov. 2015
p9940
sbNNNNNg8
(g9
g10
NtRp9941
(dp9942
g13
Nsg14
Nsg15
VThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".
p9943
sbNNg8
(g9
g10
NtRp9944
(dp9945
g13
Nsg14
Nsg15
VFALSE
p9946
sbNNNg8
(g9
g10
NtRp9947
(dp9948
g13
Nsg14
Nsg15
VFALSE
p9949
sbNNg8
(g9
g10
NtRp9950
(dp9951
g13
Nsg14
Nsg15
VFALSE
p9952
sbNNg8
(g9
g10
NtRp9953
(dp9954
g13
Nsg14
Nsg15
VFALSE
p9955
sbNg8
(g9
g10
NtRp9956
(dp9957
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png
p9958
sbg8
(g9
g10
NtRp9959
(dp9960
g13
Nsg14
Nsg15
VEPSG:3035
p9961
sbg8
(g9
g10
NtRp9962
(dp9963
g13
Nsg14
Nsg15
V2019-06-04
p9964
sbNNg8
(g9
g10
NtRp9965
(dp9966
g13
Nsg14
Nsg15
Vnatural area|natural areas protection|protected area
p9967
sbg8
(g9
g10
NtRp9968
(dp9969
g13
Nsg14
Nsg15
Vvector
p9970
sbg8
(g9
g10
NtRp9971
(dp9972
g13
Nsg14
Nsg15
VSHP|SQLite
p9973
sbNg8
(g9
g10
NtRp9974
(dp9975
g13
Nsg14
Nsg15
V1:100000
p9976
sbNg8
(g9
g10
NtRp9977
(dp9978
g13
Nsg14
Nsg15
VProduction process is explained in the document CDDA_version_13.pdf available together with the data set.
p9979
sbg8
(g9
g10
NtRp9980
(dp9981
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e47ccfcf-5ae6-4541-bd4e-efe99c73be82
p9982
sbNNg8
(g9
g10
NtRp9983
(dp9984
g13
Nsg14
Nsg15
VFALSE
p9985
sbg8
(g9
g10
NtRp9986
(dp9987
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia
p9988
sbg8
(g9
g10
NtRp9989
(dp9990
g13
Nsg14
Nsg15
VEEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\u000a\u000aWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".
p9991
sbg8
(g9
g10
NtRp9992
(dp9993
g13
Nsg14
Nsg15
VFALSE
p9994
sbg8
(g9
g10
NtRp9995
(dp9996
g13
Nsg14
Nsg15
VEuropean Environment Agency
p9997
sbg8
(g9
g10
NtRp9998
(dp9999
g13
Nsg14
Nsg15
VFALSE
p10000
sbNNNNNNNg8
(g9
g10
NtRp10001
(dp10002
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10003
(dp10004
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10005
(dp10006
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly_internal_2014_rev13-0
p10007
sbNg8
(g9
g10
NtRp10008
(dp10009
g13
Nsg14
Nsg15
Vsuperseded
p10010
sbtp10011
a(g8
(g9
g10
NtRp10012
(dp10013
g13
Nsg14
Nsg15
Va2cd6c53-100d-481a-90d0-cb8077362e51
p10014
sbNg8
(g9
g10
NtRp10015
(dp10016
g13
Nsg14
Nsg15
VAirBase: Validated measurements of the concentration of air pollutants 1969-2012 - version 8, Mar. 2014
p10017
sbNNNNNg8
(g9
g10
NtRp10018
(dp10019
g13
Nsg14
Nsg15
VAirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\u000aThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\u000aThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\u000a\u000a\u000aAll pollutants might not be monitored at all stations.
p10020
sbNNg8
(g9
g10
NtRp10021
(dp10022
g13
Nsg14
Nsg15
VFALSE
p10023
sbNNNg8
(g9
g10
NtRp10024
(dp10025
g13
Nsg14
Nsg15
VFALSE
p10026
sbNNg8
(g9
g10
NtRp10027
(dp10028
g13
Nsg14
Nsg15
VFALSE
p10029
sbNNg8
(g9
g10
NtRp10030
(dp10031
g13
Nsg14
Nsg15
VFALSE
p10032
sbNg8
(g9
g10
NtRp10033
(dp10034
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2cd6c53-100d-481a-90d0-cb8077362e51.png
p10035
sbNg8
(g9
g10
NtRp10036
(dp10037
g13
Nsg14
Nsg15
V2019-06-04
p10038
sbNNg8
(g9
g10
NtRp10039
(dp10040
g13
Nsg14
Nsg15
Vair quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound
p10041
sbg8
(g9
g10
NtRp10042
(dp10043
g13
Nsg14
Nsg15
Vvector
p10044
sbg8
(g9
g10
NtRp10045
(dp10046
g13
Nsg14
Nsg15
VText
p10047
sbNg8
(g9
g10
NtRp10048
(dp10049
g13
Nsg14
Nsg15
V1:10000
p10050
sbNg8
(g9
g10
NtRp10051
(dp10052
g13
Nsg14
Nsg15
V- Countries deliver to Reportnet/CDR.\u000a- ETC runs standard checks and provides feedback in CDR.\u000a- Countries possibly redeliver.\u000a- ETC compiles a European dataset and delivers it to EEA.
p10053
sbg8
(g9
g10
NtRp10054
(dp10055
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2cd6c53-100d-481a-90d0-cb8077362e51
p10056
sbNNg8
(g9
g10
NtRp10057
(dp10058
g13
Nsg14
Nsg15
VFALSE
p10059
sbg8
(g9
g10
NtRp10060
(dp10061
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p10062
sbg8
(g9
g10
NtRp10063
(dp10064
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p10065
sbg8
(g9
g10
NtRp10066
(dp10067
g13
Nsg14
Nsg15
VFALSE
p10068
sbg8
(g9
g10
NtRp10069
(dp10070
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10071
sbg8
(g9
g10
NtRp10072
(dp10073
g13
Nsg14
Nsg15
VFALSE
p10074
sbNNNNNNNg8
(g9
g10
NtRp10075
(dp10076
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10077
(dp10078
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10079
(dp10080
g13
Nsg14
Nsg15
Veea_v_4326_10_k_airbase-validated-meas_1969-2012_rev8
p10081
sbNg8
(g9
g10
NtRp10082
(dp10083
g13
Nsg14
Nsg15
Vobsolete
p10084
sbtp10085
a(g8
(g9
g10
NtRp10086
(dp10087
g13
Nsg14
Nsg15
V1982384c-d6fb-42dd-92e7-408bd88b783c
p10088
sbNg8
(g9
g10
NtRp10089
(dp10090
g13
Nsg14
Nsg15
VSurrounding seas of Europe - PRE-RELEASE VERSION, Feb. 2017
p10091
sbNNNNNg8
(g9
g10
NtRp10092
(dp10093
g13
Nsg14
Nsg15
VIn the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which two are further divided into four subregions each. Apart of these, other relevant seas are also surrounding Europe. The present layer provides the spatial extent of the Europe seas, including those regions and subregions mentioned in the MSFD.
p10094
sbNNg8
(g9
g10
NtRp10095
(dp10096
g13
Nsg14
Nsg15
VFALSE
p10097
sbNNNg8
(g9
g10
NtRp10098
(dp10099
g13
Nsg14
Nsg15
VFALSE
p10100
sbNNg8
(g9
g10
NtRp10101
(dp10102
g13
Nsg14
Nsg15
VFALSE
p10103
sbNNg8
(g9
g10
NtRp10104
(dp10105
g13
Nsg14
Nsg15
VFALSE
p10106
sbNg8
(g9
g10
NtRp10107
(dp10108
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1982384c-d6fb-42dd-92e7-408bd88b783c.png
p10109
sbNg8
(g9
g10
NtRp10110
(dp10111
g13
Nsg14
Nsg15
V2019-06-04
p10112
sbNNg8
(g9
g10
NtRp10113
(dp10114
g13
Nsg14
Nsg15
Vmarine environment|sea
p10115
sbg8
(g9
g10
NtRp10116
(dp10117
g13
Nsg14
Nsg15
Vvector
p10118
sbg8
(g9
g10
NtRp10119
(dp10120
g13
Nsg14
Nsg15
VSHP
p10121
sbNg8
(g9
g10
NtRp10122
(dp10123
g13
Nsg14
Nsg15
V1:100000
p10124
sbNg8
(g9
g10
NtRp10125
(dp10126
g13
Nsg14
Nsg15
VThe present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe.\u000a\u000aThe delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\u000aThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d  available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\u000a\u000aTherefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following:\u000aa.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\u000ab. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe.\u000ac. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\u000ad. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.".\u000ae. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\u000af. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated.\u000ag. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\u000a\u000aFinally, the following notes are relevant for the understanding of the layer:\u000a- The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\u000a-The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\u000a-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\u000a\u000aThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1982384c-d6fb-42dd-92e7-408bd88b783c
p10130
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VFALSE
p10133
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VArea management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p10139
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VFALSE
p10142
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VEuropean Environment Agency
p10145
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VFALSE
p10148
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V
sbNNg8
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Veea_v_4258_100_k_Europe-seas_i_2010-2017_v00_r00
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Vsuperseded
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Vbb026039-3d92-4b46-aab4-4862de0ddb8a
p10162
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VNatura 2000 (vector) 100 k - version 2015, Mar. 2016
p10165
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VNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a\u000aThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\u000a\u000aThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, has developed a quality control process that identifies potential inconsistencies in the national reports.\u000a\u000aThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\u000a\u000aAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\u000a\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a\u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
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Vhttps://www.eea.europa.eu/data-and-maps/data/natura-7
p10171
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p10174
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VFALSE
p10177
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VFALSE
p10180
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VFALSE
p10183
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb026039-3d92-4b46-aab4-4862de0ddb8a.png
p10186
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VEPSG:3035
p10189
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V2019-06-04
p10192
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Vnatural area|natural areas protection|protected area|species
p10195
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VSHP|SQLite
p10201
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V1:100000
p10204
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VMember States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb026039-3d92-4b46-aab4-4862de0ddb8a
p10210
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VFALSE
p10213
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VHabitats and biotopes|Protected sites
p10216
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VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
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VFALSE
p10222
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VEuropean Commission
p10225
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VFALSE
p10228
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V
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V
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Veea_v_3035_100_k_natura2000_2015
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Vsuperseded
p10238
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V5e884531-3b0e-4643-af14-ae6281d6fb24
p10242
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VBiogeographical regions, Europe 2011
p10245
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VThe biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).
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Vhttps://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe
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p10254
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p10257
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VFALSE
p10260
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VFALSE
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p10269
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V2019-06-04
p10272
sbNNg8
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NtRp10273
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Vbiodiversity
p10275
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p10278
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VSHP
p10281
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V1:10000000
p10284
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g13
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VBiogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\u000a\u000aImproved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\u000a\u000aThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e884531-3b0e-4643-af14-ae6281d6fb24
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VFALSE
p10293
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VBio-geographical regions
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Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright
p10299
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VFALSE
p10302
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VEuropean Environment Agency
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VFALSE
p10308
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VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive.\u000a\u000aNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a \u000aFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database .\u000a \u000aThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released.  However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated.\u000a \u000aThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\u000a \u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a \u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a \u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
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Vhttps://www.eea.europa.eu/data-and-maps/data/natura-5
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Nsg14
Nsg15
VMember States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.\u000a\u000aThis version corrects some features over Luxembourg which were shifted in the previous release of this data set.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/465c6af4-7a30-43de-98e5-90ebe7e816c4
p10370
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Nsg14
Nsg15
VFALSE
p10373
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Nsg14
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VHabitats and biotopes|Protected sites
p10376
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Nsg15
VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
p10379
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VFALSE
p10382
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Nsg14
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VEuropean Commission
p10385
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VFALSE
p10388
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V
sbg8
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g10
NtRp10391
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g13
Nsg14
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V
sbNNg8
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g10
NtRp10393
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g13
Nsg14
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Veea_v_3035_100_k_natura2000_2013_rev01
p10395
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g10
NtRp10396
(dp10397
g13
Nsg14
Nsg15
Vsuperseded
p10398
sbtp10399
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g10
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g13
Nsg14
Nsg15
V66fa7dca-8772-4a5d-9d56-2caba4ecd36a
p10402
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g10
NtRp10403
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g13
Nsg14
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VDEM over Europe from the GMES RDA project (EU-DEM, resolution 25m) - version 1, Oct. 2013
p10405
sbNNNNNg8
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NtRp10406
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g13
Nsg14
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VThe Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra. Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 metre. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. These tiles have then been aggregated into 5°x5° tiles which have been projected to ETRS89-LAEA by JRC. The resulting tiles (1000x1000km) are made available as well as a mosaic of them.\u000aThe vertical unit of this DSM is metre.\u000aThe tiles are provided as GeoTIFF with LZW compression.\u000aThe mosaic is provided as GeoTIFF with DEFLATE compression.\u000aOwnership of EU-DEM belongs to European Commission, DG Enterprise and Industry.
p10408
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Vhttps://www.eea.europa.eu/data-and-maps/data/eu-dem
p10411
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g13
Nsg14
Nsg15
VFALSE
p10414
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g10
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g13
Nsg14
Nsg15
VFALSE
p10417
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g13
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Nsg15
VFALSE
p10420
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(g9
g10
NtRp10421
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g13
Nsg14
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VFALSE
p10423
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g10
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g13
Nsg14
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/66fa7dca-8772-4a5d-9d56-2caba4ecd36a.png
p10426
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NtRp10427
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Nsg14
Nsg15
VEPSG:3035
p10429
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g10
NtRp10430
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g13
Nsg14
Nsg15
V2019-06-04
p10432
sbNNg8
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g10
NtRp10433
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g13
Nsg14
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VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p10435
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NtRp10436
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g13
Nsg14
Nsg15
Vgrid
p10438
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g10
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g13
Nsg14
Nsg15
VGTiff
p10441
sbNg8
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g10
NtRp10442
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g13
Nsg14
Nsg15
V25m
p10444
sbNg8
(g9
g10
NtRp10445
(dp10446
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p10447
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66fa7dca-8772-4a5d-9d56-2caba4ecd36a
p10450
sbNNg8
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Nsg14
Nsg15
VFALSE
p10453
sbg8
(g9
g10
NtRp10454
(dp10455
g13
Nsg14
Nsg15
VElevation|Hydrography
p10456
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(g9
g10
NtRp10457
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Nsg14
Nsg15
VAccess to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\u000aThe following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry.\u000a\u000aAccess and use of the data is made on the conditions that:\u000a1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information.\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.
p10459
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(g9
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Nsg14
Nsg15
VFALSE
p10462
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NtRp10463
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g13
Nsg14
Nsg15
VEuropean Environment Agency
p10465
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NtRp10466
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Nsg15
VFALSE
p10468
sbNNNNNNNg8
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Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10471
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10473
(dp10474
g13
Nsg14
Nsg15
Vjrc_r_3035_25_m_gsgrda-eudem-dem-europe_2012_rev1
p10475
sbNg8
(g9
g10
NtRp10476
(dp10477
g13
Nsg14
Nsg15
Vobsolete
p10478
sbtp10479
a(g8
(g9
g10
NtRp10480
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g13
Nsg14
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V01c9d364-6c84-4b3f-8feb-1b99eff56e07
p10482
sbNg8
(g9
g10
NtRp10483
(dp10484
g13
Nsg14
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VWISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012
p10485
sbNNNNNg8
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g10
NtRp10486
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g13
Nsg14
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VA Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations.\u000aEU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. \u000aThe WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1.\u000a\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000.\u000aThe processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out.\u000aHowever, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs.\u000aThis version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. \u000a\u000aIt should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. \u000a\u000aFor the external publication the whole United Kingdom had to be removed due to licensing restrictions.
p10488
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Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p10491
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VFALSE
p10494
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VFALSE
p10497
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(g9
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g13
Nsg14
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VFALSE
p10500
sbNNg8
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g10
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g13
Nsg14
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VFALSE
p10503
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NtRp10504
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/01c9d364-6c84-4b3f-8feb-1b99eff56e07.png
p10506
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NtRp10507
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Nsg15
VEPSG:3035
p10509
sbg8
(g9
g10
NtRp10510
(dp10511
g13
Nsg14
Nsg15
V2019-06-04
p10512
sbNNg8
(g9
g10
NtRp10513
(dp10514
g13
Nsg14
Nsg15
Vaquifer|groundwater
p10515
sbg8
(g9
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NtRp10516
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g13
Nsg14
Nsg15
Vvector
p10518
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(g9
g10
NtRp10519
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g13
Nsg14
Nsg15
VSHP
p10521
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(g9
g10
NtRp10522
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g13
Nsg14
Nsg15
V1:1000000
p10524
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(g9
g10
NtRp10525
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g13
Nsg14
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VSpatial data of GWBs was delivered by MS in a shape format, whereas many MS stored the data in separate shape files for River Basin Districts (RBD) or horizons or both. The attribute tables of the provided shape files always implied the mandatory fields of GWB code named \u201cEU_CD_GW\u201d and GWB horizon partially accompanied by varying extra columns defined by the Member States.\u000aAll GWBs had been merged into separate shape files according to their affiliation to horizons, but with extra shapes for Reunion and Switzerland. The attribute tables of these shape files exclusively adopt the fields \u201cEU_CD_GW\u201d and GWB. Because the GWB identifier \u201cEU_CD_GW\u201d is not unique for the polygons an artificial polygon identifier \u201cPolygon_ID\u201d is appended to the attribute table.\u000aThe linking between the shape files and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes deriving from the WFD reporting via XML files, has to be carried out using the column EU_CD_GW as key for joining the tables.
p10527
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07
p10530
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g10
NtRp10531
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g13
Nsg14
Nsg15
VFALSE
p10533
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g10
NtRp10534
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g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p10536
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g10
NtRp10537
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g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p10539
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NtRp10540
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g13
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Nsg15
VFALSE
p10542
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(g9
g10
NtRp10543
(dp10544
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10545
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(g9
g10
NtRp10546
(dp10547
g13
Nsg14
Nsg15
VFALSE
p10548
sbNNNNNNNg8
(g9
g10
NtRp10549
(dp10550
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10551
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10553
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Veea_v_xxx_1_mio_wise-gbd-public_2009-2011
p10555
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NtRp10556
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Vobsolete
p10558
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V1e6413e5-718f-484c-84d0-5d02257362a3
p10562
sbNg8
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g10
NtRp10563
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g13
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VNear real time measurements of concentration of particulate matter less than 2.5\u03bcg (PM2.5) for the current year
p10565
sbNNNNNg8
(g9
g10
NtRp10566
(dp10567
g13
Nsg14
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VNear real time concentration of PM2.5 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p10568
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g10
NtRp10569
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g13
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Nsg15
VFALSE
p10571
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g10
NtRp10572
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g13
Nsg14
Nsg15
VFALSE
p10574
sbNNg8
(g9
g10
NtRp10575
(dp10576
g13
Nsg14
Nsg15
VFALSE
p10577
sbNNg8
(g9
g10
NtRp10578
(dp10579
g13
Nsg14
Nsg15
VFALSE
p10580
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NtRp10581
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e6413e5-718f-484c-84d0-5d02257362a3.png
p10583
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(g9
g10
NtRp10584
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Nsg15
VEPSG:4326
p10586
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g10
NtRp10587
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g13
Nsg14
Nsg15
V2019-06-04
p10589
sbNNg8
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g10
NtRp10590
(dp10591
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|dust|smog|smoke|transboundary pollution
p10592
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NtRp10593
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g13
Nsg14
Nsg15
VtextTable
p10595
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g10
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Nsg15
VText
p10598
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NtRp10599
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Nsg15
V1:10000
p10601
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(g9
g10
NtRp10602
(dp10603
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p10604
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NtRp10605
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e6413e5-718f-484c-84d0-5d02257362a3
p10607
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g10
NtRp10608
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Nsg15
VFALSE
p10610
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(g9
g10
NtRp10611
(dp10612
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p10613
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NtRp10614
(dp10615
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p10616
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NtRp10617
(dp10618
g13
Nsg14
Nsg15
VFALSE
p10619
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(g9
g10
NtRp10620
(dp10621
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10622
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(g9
g10
NtRp10623
(dp10624
g13
Nsg14
Nsg15
VFALSE
p10625
sbNNNNNNNg8
(g9
g10
NtRp10626
(dp10627
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10628
(dp10629
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10630
(dp10631
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-pm2-5
p10632
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g10
NtRp10633
(dp10634
g13
Nsg14
Nsg15
Vobsolete
p10635
sbtp10636
a(g8
(g9
g10
NtRp10637
(dp10638
g13
Nsg14
Nsg15
Vcdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e
p10639
sbNg8
(g9
g10
NtRp10640
(dp10641
g13
Nsg14
Nsg15
VNear real time measurements of sulphur dioxide (SO2) concentration for the current year
p10642
sbNNNNNg8
(g9
g10
NtRp10643
(dp10644
g13
Nsg14
Nsg15
VNear real time sulphur dioxide (SO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p10645
sbNNg8
(g9
g10
NtRp10646
(dp10647
g13
Nsg14
Nsg15
VFALSE
p10648
sbNNNg8
(g9
g10
NtRp10649
(dp10650
g13
Nsg14
Nsg15
VFALSE
p10651
sbNNg8
(g9
g10
NtRp10652
(dp10653
g13
Nsg14
Nsg15
VFALSE
p10654
sbNNg8
(g9
g10
NtRp10655
(dp10656
g13
Nsg14
Nsg15
VFALSE
p10657
sbNg8
(g9
g10
NtRp10658
(dp10659
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e.png
p10660
sbg8
(g9
g10
NtRp10661
(dp10662
g13
Nsg14
Nsg15
VEPSG:4326
p10663
sbg8
(g9
g10
NtRp10664
(dp10665
g13
Nsg14
Nsg15
V2019-06-04
p10666
sbNNg8
(g9
g10
NtRp10667
(dp10668
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|sulphur dioxide|transboundary pollution
p10669
sbg8
(g9
g10
NtRp10670
(dp10671
g13
Nsg14
Nsg15
VtextTable
p10672
sbg8
(g9
g10
NtRp10673
(dp10674
g13
Nsg14
Nsg15
VText
p10675
sbNg8
(g9
g10
NtRp10676
(dp10677
g13
Nsg14
Nsg15
V1:10000
p10678
sbNg8
(g9
g10
NtRp10679
(dp10680
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p10681
sbg8
(g9
g10
NtRp10682
(dp10683
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e
p10684
sbNNg8
(g9
g10
NtRp10685
(dp10686
g13
Nsg14
Nsg15
VFALSE
p10687
sbg8
(g9
g10
NtRp10688
(dp10689
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p10690
sbg8
(g9
g10
NtRp10691
(dp10692
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p10693
sbg8
(g9
g10
NtRp10694
(dp10695
g13
Nsg14
Nsg15
VFALSE
p10696
sbg8
(g9
g10
NtRp10697
(dp10698
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10699
sbg8
(g9
g10
NtRp10700
(dp10701
g13
Nsg14
Nsg15
VFALSE
p10702
sbNNNNNNNg8
(g9
g10
NtRp10703
(dp10704
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10705
(dp10706
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10707
(dp10708
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-so2
p10709
sbNg8
(g9
g10
NtRp10710
(dp10711
g13
Nsg14
Nsg15
Vobsolete
p10712
sbtp10713
a(g8
(g9
g10
NtRp10714
(dp10715
g13
Nsg14
Nsg15
V1adfc74f-65d1-4ec6-96cf-05cd8a62d797
p10716
sbNg8
(g9
g10
NtRp10717
(dp10718
g13
Nsg14
Nsg15
VNear real time measurements of benzene (C6H6) concentration for the current year
p10719
sbNNNNNg8
(g9
g10
NtRp10720
(dp10721
g13
Nsg14
Nsg15
VNear real time benzene concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p10722
sbNNg8
(g9
g10
NtRp10723
(dp10724
g13
Nsg14
Nsg15
VFALSE
p10725
sbNNNg8
(g9
g10
NtRp10726
(dp10727
g13
Nsg14
Nsg15
VFALSE
p10728
sbNNg8
(g9
g10
NtRp10729
(dp10730
g13
Nsg14
Nsg15
VFALSE
p10731
sbNNg8
(g9
g10
NtRp10732
(dp10733
g13
Nsg14
Nsg15
VFALSE
p10734
sbNg8
(g9
g10
NtRp10735
(dp10736
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg
p10737
sbg8
(g9
g10
NtRp10738
(dp10739
g13
Nsg14
Nsg15
VEPSG:4326
p10740
sbg8
(g9
g10
NtRp10741
(dp10742
g13
Nsg14
Nsg15
V2019-06-04
p10743
sbNNg8
(g9
g10
NtRp10744
(dp10745
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|benzene|troposphere|volatile organic compound
p10746
sbg8
(g9
g10
NtRp10747
(dp10748
g13
Nsg14
Nsg15
VtextTable
p10749
sbg8
(g9
g10
NtRp10750
(dp10751
g13
Nsg14
Nsg15
VText
p10752
sbNg8
(g9
g10
NtRp10753
(dp10754
g13
Nsg14
Nsg15
V1:10000
p10755
sbNg8
(g9
g10
NtRp10756
(dp10757
g13
Nsg14
Nsg15
VNear real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p10758
sbg8
(g9
g10
NtRp10759
(dp10760
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1adfc74f-65d1-4ec6-96cf-05cd8a62d797
p10761
sbNNg8
(g9
g10
NtRp10762
(dp10763
g13
Nsg14
Nsg15
VFALSE
p10764
sbg8
(g9
g10
NtRp10765
(dp10766
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p10767
sbg8
(g9
g10
NtRp10768
(dp10769
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p10770
sbg8
(g9
g10
NtRp10771
(dp10772
g13
Nsg14
Nsg15
VFALSE
p10773
sbg8
(g9
g10
NtRp10774
(dp10775
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10776
sbg8
(g9
g10
NtRp10777
(dp10778
g13
Nsg14
Nsg15
VFALSE
p10779
sbNNNNNNNg8
(g9
g10
NtRp10780
(dp10781
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10782
(dp10783
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10784
(dp10785
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-benzene
p10786
sbNg8
(g9
g10
NtRp10787
(dp10788
g13
Nsg14
Nsg15
Vobsolete
p10789
sbtp10790
a(g8
(g9
g10
NtRp10791
(dp10792
g13
Nsg14
Nsg15
V74944b72-67c4-45a5-b4b4-24a791604665
p10793
sbNg8
(g9
g10
NtRp10794
(dp10795
g13
Nsg14
Nsg15
VDigital Elevation Model over the Caribbean from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013
p10796
sbNNNNNg8
(g9
g10
NtRp10797
(dp10798
g13
Nsg14
Nsg15
VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.
p10799
sbNNg8
(g9
g10
NtRp10800
(dp10801
g13
Nsg14
Nsg15
VFALSE
p10802
sbNNNg8
(g9
g10
NtRp10803
(dp10804
g13
Nsg14
Nsg15
VFALSE
p10805
sbNNg8
(g9
g10
NtRp10806
(dp10807
g13
Nsg14
Nsg15
VFALSE
p10808
sbNNg8
(g9
g10
NtRp10809
(dp10810
g13
Nsg14
Nsg15
VFALSE
p10811
sbNg8
(g9
g10
NtRp10812
(dp10813
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74944b72-67c4-45a5-b4b4-24a791604665.png
p10814
sbg8
(g9
g10
NtRp10815
(dp10816
g13
Nsg14
Nsg15
VEPSG:4326
p10817
sbg8
(g9
g10
NtRp10818
(dp10819
g13
Nsg14
Nsg15
V2019-06-04
p10820
sbNNg8
(g9
g10
NtRp10821
(dp10822
g13
Nsg14
Nsg15
VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p10823
sbg8
(g9
g10
NtRp10824
(dp10825
g13
Nsg14
Nsg15
Vgrid
p10826
sbg8
(g9
g10
NtRp10827
(dp10828
g13
Nsg14
Nsg15
VHFA
p10829
sbNg8
(g9
g10
NtRp10830
(dp10831
g13
Nsg14
Nsg15
V0.0002777777778deg
p10832
sbNg8
(g9
g10
NtRp10833
(dp10834
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p10835
sbg8
(g9
g10
NtRp10836
(dp10837
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74944b72-67c4-45a5-b4b4-24a791604665
p10838
sbNNg8
(g9
g10
NtRp10839
(dp10840
g13
Nsg14
Nsg15
VFALSE
p10841
sbg8
(g9
g10
NtRp10842
(dp10843
g13
Nsg14
Nsg15
VElevation|Hydrography
p10844
sbg8
(g9
g10
NtRp10845
(dp10846
g13
Nsg14
Nsg15
VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000a\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000a\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000a\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p10847
sbg8
(g9
g10
NtRp10848
(dp10849
g13
Nsg14
Nsg15
VFALSE
p10850
sbg8
(g9
g10
NtRp10851
(dp10852
g13
Nsg14
Nsg15
VEuropean Commission, DG Enterprise and Industry
p10853
sbg8
(g9
g10
NtRp10854
(dp10855
g13
Nsg14
Nsg15
VFALSE
p10856
sbNNNNNNNg8
(g9
g10
NtRp10857
(dp10858
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10859
(dp10860
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10861
(dp10862
g13
Nsg14
Nsg15
Ventr_r_4326_1_arcsec_gsgrda-eudem-caribbean_2012_rev0-5
p10863
sbNg8
(g9
g10
NtRp10864
(dp10865
g13
Nsg14
Nsg15
Vobsolete
p10866
sbtp10867
a(g8
(g9
g10
NtRp10868
(dp10869
g13
Nsg14
Nsg15
Vcd71afc9-4490-4cef-8008-43456970bd51
p10870
sbNg8
(g9
g10
NtRp10871
(dp10872
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Degree 2009 (raster 20m), Aug. 2013
p10873
sbNNNNNg8
(g9
g10
NtRp10874
(dp10875
g13
Nsg14
Nsg15
VImperviousness Degree (IMD) 2009 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2009 reference year. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions.
p10876
sbNNg8
(g9
g10
NtRp10877
(dp10878
g13
Nsg14
Nsg15
VFALSE
p10879
sbNNNg8
(g9
g10
NtRp10880
(dp10881
g13
Nsg14
Nsg15
VFALSE
p10882
sbNNg8
(g9
g10
NtRp10883
(dp10884
g13
Nsg14
Nsg15
VFALSE
p10885
sbNNg8
(g9
g10
NtRp10886
(dp10887
g13
Nsg14
Nsg15
VFALSE
p10888
sbNg8
(g9
g10
NtRp10889
(dp10890
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cd71afc9-4490-4cef-8008-43456970bd51.png
p10891
sbg8
(g9
g10
NtRp10892
(dp10893
g13
Nsg14
Nsg15
VEPSG:3035
p10894
sbg8
(g9
g10
NtRp10895
(dp10896
g13
Nsg14
Nsg15
V2019-06-04
p10897
sbNNg8
(g9
g10
NtRp10898
(dp10899
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p10900
sbg8
(g9
g10
NtRp10901
(dp10902
g13
Nsg14
Nsg15
Vgrid
p10903
sbg8
(g9
g10
NtRp10904
(dp10905
g13
Nsg14
Nsg15
VGTiff
p10906
sbNg8
(g9
g10
NtRp10907
(dp10908
g13
Nsg14
Nsg15
V20m
p10909
sbNg8
(g9
g10
NtRp10910
(dp10911
g13
Nsg14
Nsg15
VThe product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.
p10912
sbg8
(g9
g10
NtRp10913
(dp10914
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cd71afc9-4490-4cef-8008-43456970bd51
p10915
sbNNg8
(g9
g10
NtRp10916
(dp10917
g13
Nsg14
Nsg15
VFALSE
p10918
sbg8
(g9
g10
NtRp10919
(dp10920
g13
Nsg14
Nsg15
VLand cover|EEA39
p10921
sbg8
(g9
g10
NtRp10922
(dp10923
g13
Nsg14
Nsg15
VThe 2009 \u201cdegree of soil sealing\u201d dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea europa.eu for any requests.
p10924
sbg8
(g9
g10
NtRp10925
(dp10926
g13
Nsg14
Nsg15
VFALSE
p10927
sbg8
(g9
g10
NtRp10928
(dp10929
g13
Nsg14
Nsg15
VEuropean Environment Agency
p10930
sbg8
(g9
g10
NtRp10931
(dp10932
g13
Nsg14
Nsg15
VFALSE
p10933
sbNNNNNNNg8
(g9
g10
NtRp10934
(dp10935
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp10936
(dp10937
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp10938
(dp10939
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imd_2008-2009
p10940
sbNg8
(g9
g10
NtRp10941
(dp10942
g13
Nsg14
Nsg15
Vobsolete
p10943
sbtp10944
a(g8
(g9
g10
NtRp10945
(dp10946
g13
Nsg14
Nsg15
V3cb814e5-2fd6-4f74-9e05-a29cd3218aa7
p10947
sbNg8
(g9
g10
NtRp10948
(dp10949
g13
Nsg14
Nsg15
VHigh Resolution Layer: Forest Type 2012 (raster 20m), Mar. 2016
p10950
sbNNNNNg8
(g9
g10
NtRp10951
(dp10952
g13
Nsg14
Nsg15
VForest Type (FTY) 2012 is a European mosaic of Forest Type (FTY) in 20m and 100m spatial resolution and European projection. The Minimum Mapping Unit (MMU) is 0.5 ha. The FTY product is closely aligned to the FAO forest definition, in the sense that the 20m x 20m forest type products are produced from the tree cover density (TCD) product applying a following rules 1) MMU = 0.5 ha (minimum number of pixels to form a patch); 2) Minimum Mapping Width (MMW) = 20m; 3) TCD value \u226510 and <100%. The product maps the dominant leaf type of trees with two classes: "broadleaved" and "coniferous" (binary product).\u000aThe FTY product for 2012 will be corrected and improved as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and the new version will be available from early 2018 and fully replace all previous versions.\u000a\u000aThe production of the Forest Type (FTY) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p10953
sbNNg8
(g9
g10
NtRp10954
(dp10955
g13
Nsg14
Nsg15
VFALSE
p10956
sbNNNg8
(g9
g10
NtRp10957
(dp10958
g13
Nsg14
Nsg15
VFALSE
p10959
sbNNg8
(g9
g10
NtRp10960
(dp10961
g13
Nsg14
Nsg15
VFALSE
p10962
sbNNg8
(g9
g10
NtRp10963
(dp10964
g13
Nsg14
Nsg15
VFALSE
p10965
sbNg8
(g9
g10
NtRp10966
(dp10967
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3cb814e5-2fd6-4f74-9e05-a29cd3218aa7.png
p10968
sbg8
(g9
g10
NtRp10969
(dp10970
g13
Nsg14
Nsg15
VEPSG:3035
p10971
sbg8
(g9
g10
NtRp10972
(dp10973
g13
Nsg14
Nsg15
V2019-06-04
p10974
sbNNg8
(g9
g10
NtRp10975
(dp10976
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p10977
sbg8
(g9
g10
NtRp10978
(dp10979
g13
Nsg14
Nsg15
Vgrid
p10980
sbg8
(g9
g10
NtRp10981
(dp10982
g13
Nsg14
Nsg15
VGTiff
p10983
sbNg8
(g9
g10
NtRp10984
(dp10985
g13
Nsg14
Nsg15
V20m
p10986
sbNg8
(g9
g10
NtRp10987
(dp10988
g13
Nsg14
Nsg15
VThe product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided HR satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.
p10989
sbg8
(g9
g10
NtRp10990
(dp10991
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3cb814e5-2fd6-4f74-9e05-a29cd3218aa7
p10992
sbNNg8
(g9
g10
NtRp10993
(dp10994
g13
Nsg14
Nsg15
VFALSE
p10995
sbg8
(g9
g10
NtRp10996
(dp10997
g13
Nsg14
Nsg15
VLand cover|EEA39
p10998
sbg8
(g9
g10
NtRp10999
(dp11000
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p11001
sbg8
(g9
g10
NtRp11002
(dp11003
g13
Nsg14
Nsg15
VFALSE
p11004
sbg8
(g9
g10
NtRp11005
(dp11006
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11007
sbg8
(g9
g10
NtRp11008
(dp11009
g13
Nsg14
Nsg15
VFALSE
p11010
sbNNNNNNNg8
(g9
g10
NtRp11011
(dp11012
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11013
(dp11014
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11015
(dp11016
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_fty_2011-2012
p11017
sbNg8
(g9
g10
NtRp11018
(dp11019
g13
Nsg14
Nsg15
Vobsolete
p11020
sbtp11021
a(g8
(g9
g10
NtRp11022
(dp11023
g13
Nsg14
Nsg15
V4986a487-7584-4a37-a6b3-bbd883da74b2
p11024
sbNg8
(g9
g10
NtRp11025
(dp11026
g13
Nsg14
Nsg15
VNear real time measurements of ozone (O3) concentration for the current year
p11027
sbNNNNNg8
(g9
g10
NtRp11028
(dp11029
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p11030
sbNNg8
(g9
g10
NtRp11031
(dp11032
g13
Nsg14
Nsg15
VFALSE
p11033
sbNNNg8
(g9
g10
NtRp11034
(dp11035
g13
Nsg14
Nsg15
VFALSE
p11036
sbNNg8
(g9
g10
NtRp11037
(dp11038
g13
Nsg14
Nsg15
VFALSE
p11039
sbNNg8
(g9
g10
NtRp11040
(dp11041
g13
Nsg14
Nsg15
VFALSE
p11042
sbNg8
(g9
g10
NtRp11043
(dp11044
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg
p11045
sbg8
(g9
g10
NtRp11046
(dp11047
g13
Nsg14
Nsg15
VEPSG:4326
p11048
sbg8
(g9
g10
NtRp11049
(dp11050
g13
Nsg14
Nsg15
V2019-06-04
p11051
sbNNg8
(g9
g10
NtRp11052
(dp11053
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|ozone|transboundary pollution|tropospheric ozone
p11054
sbg8
(g9
g10
NtRp11055
(dp11056
g13
Nsg14
Nsg15
VtextTable
p11057
sbg8
(g9
g10
NtRp11058
(dp11059
g13
Nsg14
Nsg15
VText
p11060
sbNg8
(g9
g10
NtRp11061
(dp11062
g13
Nsg14
Nsg15
V1:10000
p11063
sbNg8
(g9
g10
NtRp11064
(dp11065
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p11066
sbg8
(g9
g10
NtRp11067
(dp11068
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4986a487-7584-4a37-a6b3-bbd883da74b2
p11069
sbg8
(g9
g10
NtRp11070
(dp11071
g13
Nsg14
g74
sg15
V2011
p11072
sbg8
(g9
g10
NtRp11073
(dp11074
g13
Nsg14
g74
sg15
V2011
p11075
sbg8
(g9
g10
NtRp11076
(dp11077
g13
Nsg14
Nsg15
VFALSE
p11078
sbg8
(g9
g10
NtRp11079
(dp11080
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p11081
sbg8
(g9
g10
NtRp11082
(dp11083
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p11084
sbg8
(g9
g10
NtRp11085
(dp11086
g13
Nsg14
Nsg15
VFALSE
p11087
sbg8
(g9
g10
NtRp11088
(dp11089
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11090
sbg8
(g9
g10
NtRp11091
(dp11092
g13
Nsg14
Nsg15
VFALSE
p11093
sbNNNNNNNg8
(g9
g10
NtRp11094
(dp11095
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11096
(dp11097
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11098
(dp11099
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-ozone
p11100
sbNg8
(g9
g10
NtRp11101
(dp11102
g13
Nsg14
Nsg15
Vobsolete
p11103
sbtp11104
a(g8
(g9
g10
NtRp11105
(dp11106
g13
Nsg14
Nsg15
V53bf5af3-bbed-423d-8ca9-6e8bd7f93786
p11107
sbNg8
(g9
g10
NtRp11108
(dp11109
g13
Nsg14
Nsg15
VNear real time measurements of concentration of particulate matter less than 10\u03bcg (PM10) for the current year
p11110
sbNNNNNg8
(g9
g10
NtRp11111
(dp11112
g13
Nsg14
Nsg15
VNear real time concentration of PM10 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p11113
sbNNg8
(g9
g10
NtRp11114
(dp11115
g13
Nsg14
Nsg15
VFALSE
p11116
sbNNNg8
(g9
g10
NtRp11117
(dp11118
g13
Nsg14
Nsg15
VFALSE
p11119
sbNNg8
(g9
g10
NtRp11120
(dp11121
g13
Nsg14
Nsg15
VFALSE
p11122
sbNNg8
(g9
g10
NtRp11123
(dp11124
g13
Nsg14
Nsg15
VFALSE
p11125
sbNg8
(g9
g10
NtRp11126
(dp11127
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg
p11128
sbg8
(g9
g10
NtRp11129
(dp11130
g13
Nsg14
Nsg15
VEPSG:4326
p11131
sbg8
(g9
g10
NtRp11132
(dp11133
g13
Nsg14
Nsg15
V2019-06-04
p11134
sbNNg8
(g9
g10
NtRp11135
(dp11136
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|dust|smog|smoke|transboundary pollution
p11137
sbg8
(g9
g10
NtRp11138
(dp11139
g13
Nsg14
Nsg15
VtextTable
p11140
sbg8
(g9
g10
NtRp11141
(dp11142
g13
Nsg14
Nsg15
VText
p11143
sbNg8
(g9
g10
NtRp11144
(dp11145
g13
Nsg14
Nsg15
V1:10000
p11146
sbNg8
(g9
g10
NtRp11147
(dp11148
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p11149
sbg8
(g9
g10
NtRp11150
(dp11151
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bf5af3-bbed-423d-8ca9-6e8bd7f93786
p11152
sbg8
(g9
g10
NtRp11153
(dp11154
g13
Nsg14
g74
sg15
V2011
p11155
sbg8
(g9
g10
NtRp11156
(dp11157
g13
Nsg14
g74
sg15
V2011
p11158
sbg8
(g9
g10
NtRp11159
(dp11160
g13
Nsg14
Nsg15
VFALSE
p11161
sbg8
(g9
g10
NtRp11162
(dp11163
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p11164
sbg8
(g9
g10
NtRp11165
(dp11166
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p11167
sbg8
(g9
g10
NtRp11168
(dp11169
g13
Nsg14
Nsg15
VFALSE
p11170
sbg8
(g9
g10
NtRp11171
(dp11172
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11173
sbg8
(g9
g10
NtRp11174
(dp11175
g13
Nsg14
Nsg15
VFALSE
p11176
sbNNNNNNNg8
(g9
g10
NtRp11177
(dp11178
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11179
(dp11180
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11181
(dp11182
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-pm10
p11183
sbNg8
(g9
g10
NtRp11184
(dp11185
g13
Nsg14
Nsg15
Vobsolete
p11186
sbtp11187
a(g8
(g9
g10
NtRp11188
(dp11189
g13
Nsg14
Nsg15
V885799a4-5c57-4c38-9929-7f187728d7f2
p11190
sbNg8
(g9
g10
NtRp11191
(dp11192
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2016
p11193
sbNNNNNg8
(g9
g10
NtRp11194
(dp11195
g13
Nsg14
Nsg15
VImperviousness Degree (IMD) 2012 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m and 100m x 100m spatial resolution for the 2012 reference year. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). It is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index) and uses the previous Imperviousness Degree (MD) 2009 product. All NDVI images are calibrated with the Imperviousness 2009 data, and built-up change candidates are mapped. The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. This way, consistency between the 100m x 100m imperviousness layers will be maintained.\u000a\u000aThe production of the Imperviousness Degree (IMD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p11196
sbNNg8
(g9
g10
NtRp11197
(dp11198
g13
Nsg14
Nsg15
VFALSE
p11199
sbNNNg8
(g9
g10
NtRp11200
(dp11201
g13
Nsg14
Nsg15
VFALSE
p11202
sbNNg8
(g9
g10
NtRp11203
(dp11204
g13
Nsg14
Nsg15
VFALSE
p11205
sbNNg8
(g9
g10
NtRp11206
(dp11207
g13
Nsg14
Nsg15
VFALSE
p11208
sbNg8
(g9
g10
NtRp11209
(dp11210
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/885799a4-5c57-4c38-9929-7f187728d7f2.png
p11211
sbg8
(g9
g10
NtRp11212
(dp11213
g13
Nsg14
Nsg15
VEPSG:3035
p11214
sbg8
(g9
g10
NtRp11215
(dp11216
g13
Nsg14
Nsg15
V2019-06-04
p11217
sbNNg8
(g9
g10
NtRp11218
(dp11219
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p11220
sbg8
(g9
g10
NtRp11221
(dp11222
g13
Nsg14
Nsg15
Vgrid
p11223
sbg8
(g9
g10
NtRp11224
(dp11225
g13
Nsg14
Nsg15
VGTiff
p11226
sbNg8
(g9
g10
NtRp11227
(dp11228
g13
Nsg14
Nsg15
V20m
p11229
sbNg8
(g9
g10
NtRp11230
(dp11231
g13
Nsg14
Nsg15
VSemi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). Step-wise enhancement using CLC 2006/2012 and mitigation (cloud-/gap-filling) with additional EO data and subsequently final integration to a European mosaic.
p11232
sbg8
(g9
g10
NtRp11233
(dp11234
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/885799a4-5c57-4c38-9929-7f187728d7f2
p11235
sbg8
(g9
g10
NtRp11236
(dp11237
g13
Nsg14
g74
sg15
V2011
p11238
sbg8
(g9
g10
NtRp11239
(dp11240
g13
Nsg14
g74
sg15
V2012
p11241
sbg8
(g9
g10
NtRp11242
(dp11243
g13
Nsg14
Nsg15
VTRUE
p11244
sbg8
(g9
g10
NtRp11245
(dp11246
g13
Nsg14
Nsg15
VLand cover|EEA39
p11247
sbg8
(g9
g10
NtRp11248
(dp11249
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p11250
sbg8
(g9
g10
NtRp11251
(dp11252
g13
Nsg14
Nsg15
VFALSE
p11253
sbg8
(g9
g10
NtRp11254
(dp11255
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11256
sbg8
(g9
g10
NtRp11257
(dp11258
g13
Nsg14
Nsg15
VFALSE
p11259
sbNNNNNNNg8
(g9
g10
NtRp11260
(dp11261
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11262
(dp11263
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11264
(dp11265
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imd_2011-2012
p11266
sbNg8
(g9
g10
NtRp11267
(dp11268
g13
Nsg14
Nsg15
Vobsolete
p11269
sbtp11270
a(g8
(g9
g10
NtRp11271
(dp11272
g13
Nsg14
Nsg15
V1203e3a4-e067-4656-bbd9-42d0c22f964c
p11273
sbNg8
(g9
g10
NtRp11274
(dp11275
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Change 2006-2009 (raster 100m), Aug. 2013
p11276
sbNNNNNg8
(g9
g10
NtRp11277
(dp11278
g13
Nsg14
Nsg15
VImperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The product maps the degree of Imperviousness change (in 1-100%), or soil sealing and is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index).
p11279
sbNNg8
(g9
g10
NtRp11280
(dp11281
g13
Nsg14
Nsg15
VFALSE
p11282
sbNNNg8
(g9
g10
NtRp11283
(dp11284
g13
Nsg14
Nsg15
VFALSE
p11285
sbNNg8
(g9
g10
NtRp11286
(dp11287
g13
Nsg14
Nsg15
VFALSE
p11288
sbNNg8
(g9
g10
NtRp11289
(dp11290
g13
Nsg14
Nsg15
VFALSE
p11291
sbNg8
(g9
g10
NtRp11292
(dp11293
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1203e3a4-e067-4656-bbd9-42d0c22f964c.png
p11294
sbg8
(g9
g10
NtRp11295
(dp11296
g13
Nsg14
Nsg15
VEPSG:3035
p11297
sbg8
(g9
g10
NtRp11298
(dp11299
g13
Nsg14
Nsg15
V2019-06-04
p11300
sbNNg8
(g9
g10
NtRp11301
(dp11302
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape|landscape alteration|sealing|soil surface sealing|urban area
p11303
sbg8
(g9
g10
NtRp11304
(dp11305
g13
Nsg14
Nsg15
Vgrid
p11306
sbg8
(g9
g10
NtRp11307
(dp11308
g13
Nsg14
Nsg15
VGTiff
p11309
sbNg8
(g9
g10
NtRp11310
(dp11311
g13
Nsg14
Nsg15
V100m
p11312
sbNg8
(g9
g10
NtRp11313
(dp11314
g13
Nsg14
Nsg15
VChange mapping using the 2006 and 2009 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.
p11315
sbg8
(g9
g10
NtRp11316
(dp11317
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1203e3a4-e067-4656-bbd9-42d0c22f964c
p11318
sbg8
(g9
g10
NtRp11319
(dp11320
g13
Nsg14
g74
sg15
V2006
p11321
sbg8
(g9
g10
NtRp11322
(dp11323
g13
Nsg14
g74
sg15
V2009
p11324
sbg8
(g9
g10
NtRp11325
(dp11326
g13
Nsg14
Nsg15
VTRUE
p11327
sbg8
(g9
g10
NtRp11328
(dp11329
g13
Nsg14
Nsg15
VLand cover|EEA39
p11330
sbg8
(g9
g10
NtRp11331
(dp11332
g13
Nsg14
Nsg15
VImperviousness Change (IMC) 2006-2009 dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.
p11333
sbg8
(g9
g10
NtRp11334
(dp11335
g13
Nsg14
Nsg15
VFALSE
p11336
sbg8
(g9
g10
NtRp11337
(dp11338
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11339
sbg8
(g9
g10
NtRp11340
(dp11341
g13
Nsg14
Nsg15
VFALSE
p11342
sbNNNNNNNg8
(g9
g10
NtRp11343
(dp11344
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11345
(dp11346
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11347
(dp11348
g13
Nsg14
Nsg15
Vcopernicus_r_3035_100_m_imc_2006-2009
p11349
sbNg8
(g9
g10
NtRp11350
(dp11351
g13
Nsg14
Nsg15
Vobsolete
p11352
sbtp11353
a(g8
(g9
g10
NtRp11354
(dp11355
g13
Nsg14
Nsg15
V7e5f9e9b-5cbe-477b-8244-7bba236033ea
p11356
sbNg8
(g9
g10
NtRp11357
(dp11358
g13
Nsg14
Nsg15
VExclusive Economic Zones (EEZ) of the world - version 7, Nov. 2012
p11359
sbNNNNNg8
(g9
g10
NtRp11360
(dp11361
g13
Nsg14
Nsg15
VUnder the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast.\u000a\u000aThis dataset has been retrieved from the Flanders Marine Institute.
p11362
sbNNg8
(g9
g10
NtRp11363
(dp11364
g13
Nsg14
Nsg15
VFALSE
p11365
sbNNNg8
(g9
g10
NtRp11366
(dp11367
g13
Nsg14
Nsg15
VFALSE
p11368
sbNNg8
(g9
g10
NtRp11369
(dp11370
g13
Nsg14
Nsg15
VFALSE
p11371
sbNNg8
(g9
g10
NtRp11372
(dp11373
g13
Nsg14
Nsg15
VFALSE
p11374
sbNg8
(g9
g10
NtRp11375
(dp11376
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e5f9e9b-5cbe-477b-8244-7bba236033ea.png
p11377
sbg8
(g9
g10
NtRp11378
(dp11379
g13
Nsg14
Nsg15
VEPSG:4326
p11380
sbg8
(g9
g10
NtRp11381
(dp11382
g13
Nsg14
Nsg15
V2019-06-04
p11383
sbNNg8
(g9
g10
NtRp11384
(dp11385
g13
Nsg14
Nsg15
Vadministrative boundary
p11386
sbg8
(g9
g10
NtRp11387
(dp11388
g13
Nsg14
Nsg15
Vvector
p11389
sbg8
(g9
g10
NtRp11390
(dp11391
g13
Nsg14
Nsg15
VPostgis
p11392
sbNg8
(g9
g10
NtRp11393
(dp11394
g13
Nsg14
Nsg15
V1:1000000
p11395
sbNg8
(g9
g10
NtRp11396
(dp11397
g13
Nsg14
Nsg15
VThe creation process is documented at http://marineregions.org/eezmethodology.php
p11398
sbg8
(g9
g10
NtRp11399
(dp11400
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e5f9e9b-5cbe-477b-8244-7bba236033ea
p11401
sbg8
(g9
g10
NtRp11402
(dp11403
g13
Nsg14
g74
sg15
V2012
p11404
sbg8
(g9
g10
NtRp11405
(dp11406
g13
Nsg14
g74
sg15
V2012
p11407
sbg8
(g9
g10
NtRp11408
(dp11409
g13
Nsg14
Nsg15
VFALSE
p11410
sbg8
(g9
g10
NtRp11411
(dp11412
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p11413
sbg8
(g9
g10
NtRp11414
(dp11415
g13
Nsg14
Nsg15
VThe dataset should be referred to as "VLIZ (2012). Maritime Boundaries Geodatabase, version 7. Available online at http://www.marineregions.org/. Consulted on YYYY-MM-DD"
p11416
sbg8
(g9
g10
NtRp11417
(dp11418
g13
Nsg14
Nsg15
VFALSE
p11419
sbg8
(g9
g10
NtRp11420
(dp11421
g13
Nsg14
Nsg15
VFlanders Marine Institute
p11422
sbg8
(g9
g10
NtRp11423
(dp11424
g13
Nsg14
Nsg15
VFALSE
p11425
sbNNNNNNNg8
(g9
g10
NtRp11426
(dp11427
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11428
(dp11429
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11430
(dp11431
g13
Nsg14
Nsg15
Vvliz_v_4326_1_mio_eez-v7_2012
p11432
sbNg8
(g9
g10
NtRp11433
(dp11434
g13
Nsg14
Nsg15
Vobsolete
p11435
sbtp11436
a(g8
(g9
g10
NtRp11437
(dp11438
g13
Nsg14
Nsg15
V0be4fc3c-eaac-467e-85ea-01ea4e834e93
p11439
sbNg8
(g9
g10
NtRp11440
(dp11441
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Change 2006-2009 (raster 20m), Aug. 2013
p11442
sbNNNNNg8
(g9
g10
NtRp11443
(dp11444
g13
Nsg14
Nsg15
VImperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The product maps the degree of Imperviousness change (in 1-100%), or soil sealing and is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index).
p11445
sbNNg8
(g9
g10
NtRp11446
(dp11447
g13
Nsg14
Nsg15
VFALSE
p11448
sbNNNg8
(g9
g10
NtRp11449
(dp11450
g13
Nsg14
Nsg15
VFALSE
p11451
sbNNg8
(g9
g10
NtRp11452
(dp11453
g13
Nsg14
Nsg15
VFALSE
p11454
sbNNg8
(g9
g10
NtRp11455
(dp11456
g13
Nsg14
Nsg15
VFALSE
p11457
sbNg8
(g9
g10
NtRp11458
(dp11459
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0be4fc3c-eaac-467e-85ea-01ea4e834e93.png
p11460
sbg8
(g9
g10
NtRp11461
(dp11462
g13
Nsg14
Nsg15
VEPSG:3035
p11463
sbg8
(g9
g10
NtRp11464
(dp11465
g13
Nsg14
Nsg15
V2019-06-04
p11466
sbNNg8
(g9
g10
NtRp11467
(dp11468
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p11469
sbg8
(g9
g10
NtRp11470
(dp11471
g13
Nsg14
Nsg15
Vgrid
p11472
sbg8
(g9
g10
NtRp11473
(dp11474
g13
Nsg14
Nsg15
VGTiff
p11475
sbNg8
(g9
g10
NtRp11476
(dp11477
g13
Nsg14
Nsg15
V20m
p11478
sbNg8
(g9
g10
NtRp11479
(dp11480
g13
Nsg14
Nsg15
VChange mapping using the 2006 and 2009 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.
p11481
sbg8
(g9
g10
NtRp11482
(dp11483
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0be4fc3c-eaac-467e-85ea-01ea4e834e93
p11484
sbg8
(g9
g10
NtRp11485
(dp11486
g13
Nsg14
g74
sg15
V2006
p11487
sbg8
(g9
g10
NtRp11488
(dp11489
g13
Nsg14
g74
sg15
V2009
p11490
sbg8
(g9
g10
NtRp11491
(dp11492
g13
Nsg14
Nsg15
VTRUE
p11493
sbg8
(g9
g10
NtRp11494
(dp11495
g13
Nsg14
Nsg15
VLand cover|EEA39
p11496
sbg8
(g9
g10
NtRp11497
(dp11498
g13
Nsg14
Nsg15
VImperviousness Change (IMC) 2006-2009 dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.
p11499
sbg8
(g9
g10
NtRp11500
(dp11501
g13
Nsg14
Nsg15
VFALSE
p11502
sbg8
(g9
g10
NtRp11503
(dp11504
g13
Nsg14
Nsg15
VEuropean Environment Agency
p11505
sbg8
(g9
g10
NtRp11506
(dp11507
g13
Nsg14
Nsg15
VFALSE
p11508
sbNNNNNNNg8
(g9
g10
NtRp11509
(dp11510
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11511
(dp11512
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11513
(dp11514
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imc_2006-2009
p11515
sbNg8
(g9
g10
NtRp11516
(dp11517
g13
Nsg14
Nsg15
Vobsolete
p11518
sbtp11519
a(g8
(g9
g10
NtRp11520
(dp11521
g13
Nsg14
Nsg15
V1cbfa933-5112-41c0-b699-a1a2a90e8a37
p11522
sbNg8
(g9
g10
NtRp11523
(dp11524
g13
Nsg14
Nsg15
VDigital Elevation Model over the Réunion from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013
p11525
sbNNNNNg8
(g9
g10
NtRp11526
(dp11527
g13
Nsg14
Nsg15
VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.
p11528
sbNNg8
(g9
g10
NtRp11529
(dp11530
g13
Nsg14
Nsg15
VFALSE
p11531
sbNNNg8
(g9
g10
NtRp11532
(dp11533
g13
Nsg14
Nsg15
VFALSE
p11534
sbNNg8
(g9
g10
NtRp11535
(dp11536
g13
Nsg14
Nsg15
VFALSE
p11537
sbNNg8
(g9
g10
NtRp11538
(dp11539
g13
Nsg14
Nsg15
VFALSE
p11540
sbNg8
(g9
g10
NtRp11541
(dp11542
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1cbfa933-5112-41c0-b699-a1a2a90e8a37.png
p11543
sbg8
(g9
g10
NtRp11544
(dp11545
g13
Nsg14
Nsg15
VEPSG:4326
p11546
sbg8
(g9
g10
NtRp11547
(dp11548
g13
Nsg14
Nsg15
V2019-06-04
p11549
sbNNg8
(g9
g10
NtRp11550
(dp11551
g13
Nsg14
Nsg15
VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p11552
sbg8
(g9
g10
NtRp11553
(dp11554
g13
Nsg14
Nsg15
Vgrid
p11555
sbg8
(g9
g10
NtRp11556
(dp11557
g13
Nsg14
Nsg15
VHFA
p11558
sbNg8
(g9
g10
NtRp11559
(dp11560
g13
Nsg14
Nsg15
V0.0002777777778deg
p11561
sbNg8
(g9
g10
NtRp11562
(dp11563
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p11564
sbg8
(g9
g10
NtRp11565
(dp11566
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1cbfa933-5112-41c0-b699-a1a2a90e8a37
p11567
sbg8
(g9
g10
NtRp11568
(dp11569
g13
Nsg14
g74
sg15
V2000
p11570
sbg8
(g9
g10
NtRp11571
(dp11572
g13
Nsg14
g74
sg15
V2010
p11573
sbg8
(g9
g10
NtRp11574
(dp11575
g13
Nsg14
Nsg15
VTRUE
p11576
sbg8
(g9
g10
NtRp11577
(dp11578
g13
Nsg14
Nsg15
VElevation|Hydrography
p11579
sbg8
(g9
g10
NtRp11580
(dp11581
g13
Nsg14
Nsg15
VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000a\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000a\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000a\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p11582
sbg8
(g9
g10
NtRp11583
(dp11584
g13
Nsg14
Nsg15
VFALSE
p11585
sbg8
(g9
g10
NtRp11586
(dp11587
g13
Nsg14
Nsg15
VEuropean Commission, DG Enterprise and Industry
p11588
sbg8
(g9
g10
NtRp11589
(dp11590
g13
Nsg14
Nsg15
VFALSE
p11591
sbNNNNNNNg8
(g9
g10
NtRp11592
(dp11593
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp11594
(dp11595
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp11596
(dp11597
g13
Nsg14
Nsg15
Ventr_r_4326_1_arcsec_gsgrda-eudem-reunion_2012_rev0-5
p11598
sbNg8
(g9
g10
NtRp11599
(dp11600
g13
Nsg14
Nsg15
Vobsolete
p11601
sbtp11602
a(g8
(g9
g10
NtRp11603
(dp11604
g13
Nsg14
Nsg15
V437c4900-f394-454c-81bd-c3f5a7cddddb
p11605
sbNg8
(g9
g10
NtRp11606
(dp11607
g13
Nsg14
Nsg15
VHigh Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2016
p11608
sbNNNNNg8
(g9
g10
NtRp11609
(dp11610
g13
Nsg14
Nsg15
VTree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are:\u000a\u000a1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees;\u000a\u000a2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands;\u000a\u000a3) Alleys, wooded parks and gardens;\u000a\u000a4) Groups of trees within urban areas;\u000a\u000a5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery.\u000a\u000aAccordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product).\u000a\u000aThe production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p11611
sbNNg8
(g9
g10
NtRp11612
(dp11613
g13
Nsg14
Nsg15
VFALSE
p11614
sbNNNg8
(g9
g10
NtRp11615
(dp11616
g13
Nsg14
Nsg15
VFALSE
p11617
sbNNg8
(g9
g10
NtRp11618
(dp11619
g13
Nsg14
Nsg15
VFALSE
p11620
sbNNg8
(g9
g10
NtRp11621
(dp11622
g13
Nsg14
Nsg15
VFALSE
p11623
sbNg8
(g9
g10
NtRp11624
(dp11625
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/437c4900-f394-454c-81bd-c3f5a7cddddb.png
p11626
sbg8
(g9
g10
NtRp11627
(dp11628
g13
Nsg14
Nsg15
VEPSG:3035
p11629
sbg8
(g9
g10
NtRp11630
(dp11631
g13
Nsg14
Nsg15
V2019-06-04
p11632
sbNNg8
(g9
g10
NtRp11633
(dp11634
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration|tree
p11635
sbg8
(g9
g10
NtRp11636
(dp11637
g13
Nsg14
Nsg15
Vgrid
p11638
sbg8
(g9
g10
NtRp11639
(dp11640
g13
Nsg14
Nsg15
VGTiff
p11641
sbNg8
(g9
g10
NtRp11642
(dp11643
g13
Nsg14
Nsg15
V20m
p11644
sbNg8
(g9
g10
NtRp11645
(dp11646
g13
Nsg14
Nsg15
VThe product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.
p11647
sbg8
(g9
g10
NtRp11648
(dp11649
g13
Nsg14
Nsg15
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V2011
p11653
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V2012
p11656
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NtRp11657
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Nsg15
VTRUE
p11659
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NtRp11660
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Nsg15
VLand cover|EEA39
p11662
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NtRp11663
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g13
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p11665
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NtRp11666
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VFALSE
p11668
sbg8
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NtRp11669
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VEuropean Environment Agency
p11671
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VFALSE
p11674
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V
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V
sbNNg8
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g10
NtRp11679
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Nsg14
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Vcopernicus_r_3035_20_m_tcd_2011-2012
p11681
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Vobsolete
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Vc0f90bc9-80ae-4117-920e-06fb4707469c
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VDigital Elevation Model over French Guiana from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013
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VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.
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g13
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VFALSE
p11697
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VFALSE
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VFALSE
p11703
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0f90bc9-80ae-4117-920e-06fb4707469c.png
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VEPSG:4326
p11712
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Nsg14
Nsg15
V2019-06-04
p11715
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VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
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Vgrid
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VHFA
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g13
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V0.0002777777778deg
p11727
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g13
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VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p11730
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f90bc9-80ae-4117-920e-06fb4707469c
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g74
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V2000
p11736
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g10
NtRp11737
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g13
Nsg14
g74
sg15
V2010
p11739
sbg8
(g9
g10
NtRp11740
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g13
Nsg14
Nsg15
VTRUE
p11742
sbg8
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g13
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VElevation|Hydrography
p11745
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NtRp11746
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VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000a\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000a\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000a\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p11748
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VFALSE
p11751
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VEuropean Commission, DG Enterprise and Industry
p11754
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VFALSE
p11757
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g13
Nsg14
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V
sbg8
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g13
Nsg14
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V
sbNNg8
(g9
g10
NtRp11762
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g13
Nsg14
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Ventr_r_4326_1_arcsec_gsgrda-eudem-guiana_2012_rev0-5
p11764
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g10
NtRp11765
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g13
Nsg14
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Vobsolete
p11767
sbtp11768
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g13
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V70b3c678-563a-4574-9ec9-69764f4b255c
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VCopernicus Land - Imperviousness density 2012 over Europe (100m) - version 0.1, Aug. 2014
p11774
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NtRp11775
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VBuilt-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%).\u000a			\u000aClasses:\u000a	0: Unsealed\u000a	1-100: Degrees of Sealing / Imperviousness\u000a	254: Unclassifiable (no satellite image available, or clouds, shadows, or snow)\u000a	255: Outside area\u000a	\u000aThis mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs.\u000a\u000a\u000aTwo colour palettes are provided:\u000a  - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt)\u000a  - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)
p11777
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NtRp11778
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g13
Nsg14
Nsg15
VFALSE
p11780
sbNNNg8
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NtRp11781
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g13
Nsg14
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VFALSE
p11783
sbNNg8
(g9
g10
NtRp11784
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g13
Nsg14
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VFALSE
p11786
sbNNg8
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g10
NtRp11787
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g13
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Nsg15
VFALSE
p11789
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g10
NtRp11790
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g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/70b3c678-563a-4574-9ec9-69764f4b255c.png
p11792
sbg8
(g9
g10
NtRp11793
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g13
Nsg14
Nsg15
VEPSG:3035
p11795
sbg8
(g9
g10
NtRp11796
(dp11797
g13
Nsg14
Nsg15
V2019-06-04
p11798
sbNNg8
(g9
g10
NtRp11799
(dp11800
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing|urban environment|urban stress
p11801
sbg8
(g9
g10
NtRp11802
(dp11803
g13
Nsg14
Nsg15
Vgrid
p11804
sbg8
(g9
g10
NtRp11805
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g13
Nsg14
Nsg15
VGTiff
p11807
sbNg8
(g9
g10
NtRp11808
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g13
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Nsg15
V100m
p11810
sbNg8
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g10
NtRp11811
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g13
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V1. Input data\u000aIntermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution.\u000a\u000a2. Spatial aggregation to 100m resolution\u000aThe mosaic in ENVI image format was processed by a stand alone C program written by Alan Steel (EEA MDI), in order to average the 20m pixel values to 100m spatial resolution, applying the following aggregation rules:\u000a    >=13 pixels within 5*5 pixel block with valid sealing value?\u000a        If Yes: \u000a            assign average sealing degree (taking into account the valid pixels only) to the cell\u000a        If No:\u000a            frequency of No data (255) pixels >= unclassifiable (254) pixels?\u000a                If Yes: assign "no data (255)" to the cell\u000a                If No: assign "unclassifiable (254)" to the cell\u000a\u000a3. Saved as GeoTiff using gdal_translate
p11813
sbg8
(g9
g10
NtRp11814
(dp11815
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/70b3c678-563a-4574-9ec9-69764f4b255c
p11816
sbg8
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g10
NtRp11817
(dp11818
g13
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g74
sg15
V2012
p11819
sbg8
(g9
g10
NtRp11820
(dp11821
g13
Nsg14
g74
sg15
V2014
p11822
sbg8
(g9
g10
NtRp11823
(dp11824
g13
Nsg14
Nsg15
VTRUE
p11825
sbg8
(g9
g10
NtRp11826
(dp11827
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia
p11828
sbg8
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g10
NtRp11829
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g13
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VAccess to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159]\u000a\u000aAlthough Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG].\u000a\u000aWithout prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that:\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.
p11831
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(g9
g10
NtRp11832
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g13
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VFALSE
p11834
sbg8
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g10
NtRp11835
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Nsg14
Nsg15
VEuropean Environment Agency
p11837
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g10
NtRp11838
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g13
Nsg14
Nsg15
VFALSE
p11840
sbNNNNNNNg8
(g9
g10
NtRp11841
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Nsg15
V
sbg8
(g9
g10
NtRp11843
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g13
Nsg14
Nsg15
V
sbNNg8
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g10
NtRp11845
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Nsg14
Nsg15
Vcopern_r_3035_100_m_imperviousness-density-europe_2012_rev0-1
p11847
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g10
NtRp11848
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Vobsolete
p11850
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a(g8
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g10
NtRp11852
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V19a37cab-7542-4d20-b8ee-ed66f991cdf6
p11854
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VHigh Resolution Layer: Imperviousness Degree 2006 (raster 20m), Aug. 2013
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VImperviousness Degree (IMD) 2006 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2006 reference year. The dataset was produced in the  frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions.
p11860
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g10
NtRp11861
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Nsg15
VFALSE
p11863
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g10
NtRp11864
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Nsg15
VFALSE
p11866
sbNNg8
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g10
NtRp11867
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Nsg14
Nsg15
VFALSE
p11869
sbNNg8
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g10
NtRp11870
(dp11871
g13
Nsg14
Nsg15
VFALSE
p11872
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g10
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/19a37cab-7542-4d20-b8ee-ed66f991cdf6.png
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sbg8
(g9
g10
NtRp11876
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VEPSG:3035
p11878
sbg8
(g9
g10
NtRp11879
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V2019-06-04
p11881
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g10
NtRp11882
(dp11883
g13
Nsg14
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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g10
NtRp11885
(dp11886
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Vgrid
p11887
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(g9
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VGTiff
p11890
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V20m
p11893
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VThe product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.
p11896
sbg8
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19a37cab-7542-4d20-b8ee-ed66f991cdf6
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V2005
p11902
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g74
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V2006
p11905
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VTRUE
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VLand cover|EEA39
p11911
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NtRp11912
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VThe 2006 \u201cdegree of soil sealing\u201d dataset was produced in the frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data-custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.
p11914
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VFALSE
p11917
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VEuropean Environment Agency
p11920
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VFALSE
p11923
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V
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V
sbNNg8
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Vcopernicus_r_3035_20_m_imd_2005-2006
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Vobsolete
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V2a16fabe-c0f3-4faa-9d99-38982bd3dc1a
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VHigh Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2016
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Nsg14
Nsg15
VImperviousness Degree (IMD) 2012 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m and 100m x 100m spatial resolution for the 2012 reference year. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). It is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index) and uses the previous Imperviousness Degree (MD) 2009 product. All NDVI images are calibrated with the Imperviousness 2009 data, and built-up change candidates are mapped. The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. This way, consistency between the 100m x 100m imperviousness layers will be maintained.\u000a\u000aThe production of the Imperviousness Degree (IMD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p11943
sbNNg8
(g9
g10
NtRp11944
(dp11945
g13
Nsg14
Nsg15
VFALSE
p11946
sbNNNg8
(g9
g10
NtRp11947
(dp11948
g13
Nsg14
Nsg15
VFALSE
p11949
sbNNg8
(g9
g10
NtRp11950
(dp11951
g13
Nsg14
Nsg15
VFALSE
p11952
sbNNg8
(g9
g10
NtRp11953
(dp11954
g13
Nsg14
Nsg15
VFALSE
p11955
sbNg8
(g9
g10
NtRp11956
(dp11957
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a.png
p11958
sbg8
(g9
g10
NtRp11959
(dp11960
g13
Nsg14
Nsg15
VEPSG:3035
p11961
sbg8
(g9
g10
NtRp11962
(dp11963
g13
Nsg14
Nsg15
V2019-06-04
p11964
sbNNg8
(g9
g10
NtRp11965
(dp11966
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p11967
sbg8
(g9
g10
NtRp11968
(dp11969
g13
Nsg14
Nsg15
Vgrid
p11970
sbg8
(g9
g10
NtRp11971
(dp11972
g13
Nsg14
Nsg15
VGTiff
p11973
sbNg8
(g9
g10
NtRp11974
(dp11975
g13
Nsg14
Nsg15
V100m
p11976
sbNg8
(g9
g10
NtRp11977
(dp11978
g13
Nsg14
Nsg15
VSemi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). Step-wise enhancement using CLC 2006/2012 and mitigation (cloud-/gap-filling) with additional EO data and subsequently final integration to a European mosaic.
p11979
sbg8
(g9
g10
NtRp11980
(dp11981
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a
p11982
sbg8
(g9
g10
NtRp11983
(dp11984
g13
Nsg14
g74
sg15
V2011
p11985
sbg8
(g9
g10
NtRp11986
(dp11987
g13
Nsg14
g74
sg15
V2012
p11988
sbg8
(g9
g10
NtRp11989
(dp11990
g13
Nsg14
Nsg15
VTRUE
p11991
sbg8
(g9
g10
NtRp11992
(dp11993
g13
Nsg14
Nsg15
VLand cover|EEA39
p11994
sbg8
(g9
g10
NtRp11995
(dp11996
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p11997
sbg8
(g9
g10
NtRp11998
(dp11999
g13
Nsg14
Nsg15
VFALSE
p12000
sbg8
(g9
g10
NtRp12001
(dp12002
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12003
sbg8
(g9
g10
NtRp12004
(dp12005
g13
Nsg14
Nsg15
VFALSE
p12006
sbNNNNNNNg8
(g9
g10
NtRp12007
(dp12008
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12009
(dp12010
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12011
(dp12012
g13
Nsg14
Nsg15
Vcopernicus_r_3035_100_m_imd_2011-2012
p12013
sbNg8
(g9
g10
NtRp12014
(dp12015
g13
Nsg14
Nsg15
Vobsolete
p12016
sbtp12017
a(g8
(g9
g10
NtRp12018
(dp12019
g13
Nsg14
Nsg15
V92a8eec5-43de-4cdc-9dc4-0781b488ca7a
p12020
sbNg8
(g9
g10
NtRp12021
(dp12022
g13
Nsg14
Nsg15
VNear real time measurements of nitrogen dioxide (NO2) concentration for the current year
p12023
sbNNNNNg8
(g9
g10
NtRp12024
(dp12025
g13
Nsg14
Nsg15
VNear real time nitrogen dioxide (NO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p12026
sbNNg8
(g9
g10
NtRp12027
(dp12028
g13
Nsg14
Nsg15
VFALSE
p12029
sbNNNg8
(g9
g10
NtRp12030
(dp12031
g13
Nsg14
Nsg15
VFALSE
p12032
sbNNg8
(g9
g10
NtRp12033
(dp12034
g13
Nsg14
Nsg15
VFALSE
p12035
sbNNg8
(g9
g10
NtRp12036
(dp12037
g13
Nsg14
Nsg15
VFALSE
p12038
sbNg8
(g9
g10
NtRp12039
(dp12040
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/92a8eec5-43de-4cdc-9dc4-0781b488ca7a.png
p12041
sbg8
(g9
g10
NtRp12042
(dp12043
g13
Nsg14
Nsg15
VEPSG:4326
p12044
sbg8
(g9
g10
NtRp12045
(dp12046
g13
Nsg14
Nsg15
V2019-06-04
p12047
sbNNg8
(g9
g10
NtRp12048
(dp12049
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|nitrogen dioxide|transboundary pollution
p12050
sbg8
(g9
g10
NtRp12051
(dp12052
g13
Nsg14
Nsg15
VtextTable
p12053
sbg8
(g9
g10
NtRp12054
(dp12055
g13
Nsg14
Nsg15
VText
p12056
sbNg8
(g9
g10
NtRp12057
(dp12058
g13
Nsg14
Nsg15
V1:10000
p12059
sbNg8
(g9
g10
NtRp12060
(dp12061
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p12062
sbg8
(g9
g10
NtRp12063
(dp12064
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92a8eec5-43de-4cdc-9dc4-0781b488ca7a
p12065
sbg8
(g9
g10
NtRp12066
(dp12067
g13
Nsg14
g74
sg15
V2011
p12068
sbg8
(g9
g10
NtRp12069
(dp12070
g13
Nsg14
g74
sg15
V2011
p12071
sbg8
(g9
g10
NtRp12072
(dp12073
g13
Nsg14
Nsg15
VFALSE
p12074
sbg8
(g9
g10
NtRp12075
(dp12076
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p12077
sbg8
(g9
g10
NtRp12078
(dp12079
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p12080
sbg8
(g9
g10
NtRp12081
(dp12082
g13
Nsg14
Nsg15
VFALSE
p12083
sbg8
(g9
g10
NtRp12084
(dp12085
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12086
sbg8
(g9
g10
NtRp12087
(dp12088
g13
Nsg14
Nsg15
VFALSE
p12089
sbNNNNNNNg8
(g9
g10
NtRp12090
(dp12091
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12092
(dp12093
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12094
(dp12095
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-no2
p12096
sbNg8
(g9
g10
NtRp12097
(dp12098
g13
Nsg14
Nsg15
Vobsolete
p12099
sbtp12100
a(g8
(g9
g10
NtRp12101
(dp12102
g13
Nsg14
Nsg15
Vd051e24a-6816-4c10-93cb-cf1c336b8e51
p12103
sbNg8
(g9
g10
NtRp12104
(dp12105
g13
Nsg14
Nsg15
VDigital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013
p12106
sbNNNNNg8
(g9
g10
NtRp12107
(dp12108
g13
Nsg14
Nsg15
VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.
p12109
sbNNg8
(g9
g10
NtRp12110
(dp12111
g13
Nsg14
Nsg15
VFALSE
p12112
sbNNNg8
(g9
g10
NtRp12113
(dp12114
g13
Nsg14
Nsg15
VFALSE
p12115
sbNNg8
(g9
g10
NtRp12116
(dp12117
g13
Nsg14
Nsg15
VFALSE
p12118
sbNNg8
(g9
g10
NtRp12119
(dp12120
g13
Nsg14
Nsg15
VFALSE
p12121
sbNg8
(g9
g10
NtRp12122
(dp12123
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d051e24a-6816-4c10-93cb-cf1c336b8e51.png
p12124
sbg8
(g9
g10
NtRp12125
(dp12126
g13
Nsg14
Nsg15
VEPSG:4326
p12127
sbg8
(g9
g10
NtRp12128
(dp12129
g13
Nsg14
Nsg15
V2019-06-04
p12130
sbNNg8
(g9
g10
NtRp12131
(dp12132
g13
Nsg14
Nsg15
VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p12133
sbg8
(g9
g10
NtRp12134
(dp12135
g13
Nsg14
Nsg15
Vgrid
p12136
sbg8
(g9
g10
NtRp12137
(dp12138
g13
Nsg14
Nsg15
VHFA
p12139
sbNg8
(g9
g10
NtRp12140
(dp12141
g13
Nsg14
Nsg15
V0.0002777777778deg
p12142
sbNg8
(g9
g10
NtRp12143
(dp12144
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p12145
sbg8
(g9
g10
NtRp12146
(dp12147
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d051e24a-6816-4c10-93cb-cf1c336b8e51
p12148
sbg8
(g9
g10
NtRp12149
(dp12150
g13
Nsg14
g74
sg15
V2000
p12151
sbg8
(g9
g10
NtRp12152
(dp12153
g13
Nsg14
g74
sg15
V2010
p12154
sbg8
(g9
g10
NtRp12155
(dp12156
g13
Nsg14
Nsg15
VTRUE
p12157
sbg8
(g9
g10
NtRp12158
(dp12159
g13
Nsg14
Nsg15
VElevation|Hydrography
p12160
sbg8
(g9
g10
NtRp12161
(dp12162
g13
Nsg14
Nsg15
VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000a\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000a\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000a\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p12163
sbg8
(g9
g10
NtRp12164
(dp12165
g13
Nsg14
Nsg15
VFALSE
p12166
sbg8
(g9
g10
NtRp12167
(dp12168
g13
Nsg14
Nsg15
VEuropean Commission, DG Enterprise and Industry
p12169
sbg8
(g9
g10
NtRp12170
(dp12171
g13
Nsg14
Nsg15
VFALSE
p12172
sbNNNNNNNg8
(g9
g10
NtRp12173
(dp12174
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12175
(dp12176
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12177
(dp12178
g13
Nsg14
Nsg15
Ventr_r_4326_1_arcsec_gsgrda-eudem-europe_2012_rev0-5
p12179
sbNg8
(g9
g10
NtRp12180
(dp12181
g13
Nsg14
Nsg15
Vobsolete
p12182
sbtp12183
a(g8
(g9
g10
NtRp12184
(dp12185
g13
Nsg14
Nsg15
V5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8
p12186
sbNg8
(g9
g10
NtRp12187
(dp12188
g13
Nsg14
Nsg15
VNear real time measurements of nitrogen oxides (NOx) concentration for the current year
p12189
sbNNNNNg8
(g9
g10
NtRp12190
(dp12191
g13
Nsg14
Nsg15
VNear real time nitrogen oxides (NOx) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p12192
sbNNg8
(g9
g10
NtRp12193
(dp12194
g13
Nsg14
Nsg15
VFALSE
p12195
sbNNNg8
(g9
g10
NtRp12196
(dp12197
g13
Nsg14
Nsg15
VFALSE
p12198
sbNNg8
(g9
g10
NtRp12199
(dp12200
g13
Nsg14
Nsg15
VFALSE
p12201
sbNNg8
(g9
g10
NtRp12202
(dp12203
g13
Nsg14
Nsg15
VFALSE
p12204
sbNg8
(g9
g10
NtRp12205
(dp12206
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8.png
p12207
sbg8
(g9
g10
NtRp12208
(dp12209
g13
Nsg14
Nsg15
VEPSG:4326
p12210
sbg8
(g9
g10
NtRp12211
(dp12212
g13
Nsg14
Nsg15
V2019-06-04
p12213
sbNNg8
(g9
g10
NtRp12214
(dp12215
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|nitrogen oxides|transboundary pollution
p12216
sbg8
(g9
g10
NtRp12217
(dp12218
g13
Nsg14
Nsg15
VtextTable
p12219
sbg8
(g9
g10
NtRp12220
(dp12221
g13
Nsg14
Nsg15
VText
p12222
sbNg8
(g9
g10
NtRp12223
(dp12224
g13
Nsg14
Nsg15
V1:10000
p12225
sbNg8
(g9
g10
NtRp12226
(dp12227
g13
Nsg14
Nsg15
VNear real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p12228
sbg8
(g9
g10
NtRp12229
(dp12230
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8
p12231
sbg8
(g9
g10
NtRp12232
(dp12233
g13
Nsg14
g74
sg15
V2011
p12234
sbg8
(g9
g10
NtRp12235
(dp12236
g13
Nsg14
g74
sg15
V2011
p12237
sbg8
(g9
g10
NtRp12238
(dp12239
g13
Nsg14
Nsg15
VFALSE
p12240
sbg8
(g9
g10
NtRp12241
(dp12242
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities
p12243
sbg8
(g9
g10
NtRp12244
(dp12245
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p12246
sbg8
(g9
g10
NtRp12247
(dp12248
g13
Nsg14
Nsg15
VFALSE
p12249
sbg8
(g9
g10
NtRp12250
(dp12251
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12252
sbg8
(g9
g10
NtRp12253
(dp12254
g13
Nsg14
Nsg15
VFALSE
p12255
sbNNNNNNNg8
(g9
g10
NtRp12256
(dp12257
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12258
(dp12259
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12260
(dp12261
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-nox
p12262
sbNg8
(g9
g10
NtRp12263
(dp12264
g13
Nsg14
Nsg15
Vobsolete
p12265
sbtp12266
a(g8
(g9
g10
NtRp12267
(dp12268
g13
Nsg14
Nsg15
Vf8de0241-52cd-428d-8203-360bad92ee10
p12269
sbNg8
(g9
g10
NtRp12270
(dp12271
g13
Nsg14
Nsg15
VNear real time measurements of carbon monoxide (CO) concentration for the current year
p12272
sbNNNNNg8
(g9
g10
NtRp12273
(dp12274
g13
Nsg14
Nsg15
VNear real time carbon monoxide (CO) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
p12275
sbNNg8
(g9
g10
NtRp12276
(dp12277
g13
Nsg14
Nsg15
VFALSE
p12278
sbNNNg8
(g9
g10
NtRp12279
(dp12280
g13
Nsg14
Nsg15
VFALSE
p12281
sbNNg8
(g9
g10
NtRp12282
(dp12283
g13
Nsg14
Nsg15
VFALSE
p12284
sbNNg8
(g9
g10
NtRp12285
(dp12286
g13
Nsg14
Nsg15
VFALSE
p12287
sbNg8
(g9
g10
NtRp12288
(dp12289
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8de0241-52cd-428d-8203-360bad92ee10.png
p12290
sbg8
(g9
g10
NtRp12291
(dp12292
g13
Nsg14
Nsg15
VEPSG:4326
p12293
sbg8
(g9
g10
NtRp12294
(dp12295
g13
Nsg14
Nsg15
V2019-06-04
p12296
sbNNg8
(g9
g10
NtRp12297
(dp12298
g13
Nsg14
Nsg15
Vair quality monitoring|atmospheric composition|atmospheric pollution|carbon monoxide|troposphere
p12299
sbg8
(g9
g10
NtRp12300
(dp12301
g13
Nsg14
Nsg15
VtextTable
p12302
sbg8
(g9
g10
NtRp12303
(dp12304
g13
Nsg14
Nsg15
VText
p12305
sbNg8
(g9
g10
NtRp12306
(dp12307
g13
Nsg14
Nsg15
V1:10000
p12308
sbNg8
(g9
g10
NtRp12309
(dp12310
g13
Nsg14
Nsg15
VNear real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
p12311
sbg8
(g9
g10
NtRp12312
(dp12313
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8de0241-52cd-428d-8203-360bad92ee10
p12314
sbg8
(g9
g10
NtRp12315
(dp12316
g13
Nsg14
g74
sg15
V2011
p12317
sbg8
(g9
g10
NtRp12318
(dp12319
g13
Nsg14
g74
sg15
V2011
p12320
sbg8
(g9
g10
NtRp12321
(dp12322
g13
Nsg14
Nsg15
VFALSE
p12323
sbg8
(g9
g10
NtRp12324
(dp12325
g13
Nsg14
Nsg15
VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
p12326
sbg8
(g9
g10
NtRp12327
(dp12328
g13
Nsg14
Nsg15
VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
p12329
sbg8
(g9
g10
NtRp12330
(dp12331
g13
Nsg14
Nsg15
VFALSE
p12332
sbg8
(g9
g10
NtRp12333
(dp12334
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12335
sbg8
(g9
g10
NtRp12336
(dp12337
g13
Nsg14
Nsg15
VFALSE
p12338
sbNNNNNNNg8
(g9
g10
NtRp12339
(dp12340
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12341
(dp12342
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12343
(dp12344
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-co
p12345
sbNg8
(g9
g10
NtRp12346
(dp12347
g13
Nsg14
Nsg15
Vobsolete
p12348
sbtp12349
a(g8
(g9
g10
NtRp12350
(dp12351
g13
Nsg14
Nsg15
V2b3cf08a-8d4b-4283-8fc3-616316798c1c
p12352
sbNg8
(g9
g10
NtRp12353
(dp12354
g13
Nsg14
Nsg15
VCopernicus Land - Imperviousness density 2012 over Europe (20m) - version 0.1, Aug. 2014
p12355
sbNNNNNg8
(g9
g10
NtRp12356
(dp12357
g13
Nsg14
Nsg15
VBuilt-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%).\u000a			\u000aClasses:\u000a	0: Unsealed\u000a	1-100: Degrees of Sealing / Imperviousness\u000a	254: Unclassifiable (no satellite image available, or clouds, shadows, or snow)\u000a	255: Outside area\u000a	\u000aThis mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs.\u000a\u000a\u000aTwo colour palettes are provided:\u000a  - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt)\u000a  - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)
p12358
sbNNg8
(g9
g10
NtRp12359
(dp12360
g13
Nsg14
Nsg15
VFALSE
p12361
sbNNNg8
(g9
g10
NtRp12362
(dp12363
g13
Nsg14
Nsg15
VFALSE
p12364
sbNNg8
(g9
g10
NtRp12365
(dp12366
g13
Nsg14
Nsg15
VFALSE
p12367
sbNNg8
(g9
g10
NtRp12368
(dp12369
g13
Nsg14
Nsg15
VFALSE
p12370
sbNg8
(g9
g10
NtRp12371
(dp12372
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b3cf08a-8d4b-4283-8fc3-616316798c1c.png
p12373
sbg8
(g9
g10
NtRp12374
(dp12375
g13
Nsg14
Nsg15
VEPSG:3035
p12376
sbg8
(g9
g10
NtRp12377
(dp12378
g13
Nsg14
Nsg15
V2019-06-04
p12379
sbNNg8
(g9
g10
NtRp12380
(dp12381
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing|urban environment|urban stress
p12382
sbg8
(g9
g10
NtRp12383
(dp12384
g13
Nsg14
Nsg15
Vgrid
p12385
sbg8
(g9
g10
NtRp12386
(dp12387
g13
Nsg14
Nsg15
VGTiff
p12388
sbNg8
(g9
g10
NtRp12389
(dp12390
g13
Nsg14
Nsg15
V20m
p12391
sbNg8
(g9
g10
NtRp12392
(dp12393
g13
Nsg14
Nsg15
V1. Input data\u000aIntermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution.\u000aThese HRLs are full or partial country coverages delivered to date, accompanied by INSPIRE-compliant metadata. \u000aThey do not cover the entire EEA39, as not all HRLs have been delivered as of 31/07/14.\u000aThey are delivered via the GIO land Verification and Enhancement portal.\u000aThey are in natioanl projections.\u000a\u000a2. Re-projection\u000aThe input HRL data was re-projected to ETRS89 Labert Azimuth Equal Area (EPSG: 3035) using gdalwarp (version gdal-1.10.1).\u000aA table of Coordinate Reference System parameters for each country was used as input to this process.\u000a\u000a3. Mosaicking\u000aThe re-projected HRLs were mosaicked, using 255 as the transparent data value.\u000aThis was performed on duck.eea.dmz1 using an ArcGIS 10.2.1 model, producing the mosaic as an ArcGIS Geodatabase:\u000aV:\u005cSOURCES\u005cHighResolutuionLayers\u005cMosaicsDatasets\u005cImperviousness_010714.gdb\u000a\u000a4. Saved as GeoTiff using gdal_translate
p12394
sbg8
(g9
g10
NtRp12395
(dp12396
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b3cf08a-8d4b-4283-8fc3-616316798c1c
p12397
sbg8
(g9
g10
NtRp12398
(dp12399
g13
Nsg14
g74
sg15
V2012
p12400
sbg8
(g9
g10
NtRp12401
(dp12402
g13
Nsg14
g74
sg15
V2014
p12403
sbg8
(g9
g10
NtRp12404
(dp12405
g13
Nsg14
Nsg15
VTRUE
p12406
sbg8
(g9
g10
NtRp12407
(dp12408
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia
p12409
sbg8
(g9
g10
NtRp12410
(dp12411
g13
Nsg14
Nsg15
VAccess to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159]\u000a\u000aAlthough Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG].\u000a\u000aWithout prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that:\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.
p12412
sbg8
(g9
g10
NtRp12413
(dp12414
g13
Nsg14
Nsg15
VFALSE
p12415
sbg8
(g9
g10
NtRp12416
(dp12417
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12418
sbg8
(g9
g10
NtRp12419
(dp12420
g13
Nsg14
Nsg15
VFALSE
p12421
sbNNNNNNNg8
(g9
g10
NtRp12422
(dp12423
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12424
(dp12425
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12426
(dp12427
g13
Nsg14
Nsg15
Vcopern_r_3035_20_m_imperviousness-density-europe_2012_rev0-1
p12428
sbNg8
(g9
g10
NtRp12429
(dp12430
g13
Nsg14
Nsg15
Vobsolete
p12431
sbtp12432
a(g8
(g9
g10
NtRp12433
(dp12434
g13
Nsg14
Nsg15
V544fb50e-a8b5-4725-ac2d-ae00507d49b8
p12435
sbNg8
(g9
g10
NtRp12436
(dp12437
g13
Nsg14
Nsg15
VHigh Resolution Layer: Forest Type 2012 (raster 100m), Mar. 2016
p12438
sbNNNNNg8
(g9
g10
NtRp12439
(dp12440
g13
Nsg14
Nsg15
VForest Type (FTY) 2012 is a European mosaic of Forest Type (FTY) in 20m and 100m spatial resolution and European projection. The Minimum Mapping Unit (MMU) is 0.5 ha. The FTY product is closely aligned to the FAO forest definition, in the sense that the 20m x 20m forest type products are produced from the tree cover density (TCD) product applying a following rules 1) MMU = 0.5 ha (minimum number of pixels to form a patch); 2) Minimum Mapping Width (MMW) = 20m; 3) TCD value \u226510 and <100%. The product maps the dominant leaf type of trees with two classes: "broadleaved" and "coniferous" (binary product).\u000aThe FTY product for 2012 will be corrected and improved as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and the new version will be available from early 2018 and fully replace all previous versions.\u000a\u000aThe production of the Forest Type (FTY) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p12441
sbNNg8
(g9
g10
NtRp12442
(dp12443
g13
Nsg14
Nsg15
VFALSE
p12444
sbNNNg8
(g9
g10
NtRp12445
(dp12446
g13
Nsg14
Nsg15
VFALSE
p12447
sbNNg8
(g9
g10
NtRp12448
(dp12449
g13
Nsg14
Nsg15
VFALSE
p12450
sbNNg8
(g9
g10
NtRp12451
(dp12452
g13
Nsg14
Nsg15
VFALSE
p12453
sbNg8
(g9
g10
NtRp12454
(dp12455
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/544fb50e-a8b5-4725-ac2d-ae00507d49b8.png
p12456
sbg8
(g9
g10
NtRp12457
(dp12458
g13
Nsg14
Nsg15
VEPSG:3035
p12459
sbg8
(g9
g10
NtRp12460
(dp12461
g13
Nsg14
Nsg15
V2019-06-04
p12462
sbNNg8
(g9
g10
NtRp12463
(dp12464
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p12465
sbg8
(g9
g10
NtRp12466
(dp12467
g13
Nsg14
Nsg15
Vgrid
p12468
sbg8
(g9
g10
NtRp12469
(dp12470
g13
Nsg14
Nsg15
VGTiff
p12471
sbNg8
(g9
g10
NtRp12472
(dp12473
g13
Nsg14
Nsg15
V100m
p12474
sbNg8
(g9
g10
NtRp12475
(dp12476
g13
Nsg14
Nsg15
VThe product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided HR satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.
p12477
sbg8
(g9
g10
NtRp12478
(dp12479
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/544fb50e-a8b5-4725-ac2d-ae00507d49b8
p12480
sbg8
(g9
g10
NtRp12481
(dp12482
g13
Nsg14
g74
sg15
V2011
p12483
sbg8
(g9
g10
NtRp12484
(dp12485
g13
Nsg14
g74
sg15
V2012
p12486
sbg8
(g9
g10
NtRp12487
(dp12488
g13
Nsg14
Nsg15
VTRUE
p12489
sbg8
(g9
g10
NtRp12490
(dp12491
g13
Nsg14
Nsg15
VLand cover|EEA39
p12492
sbg8
(g9
g10
NtRp12493
(dp12494
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p12495
sbg8
(g9
g10
NtRp12496
(dp12497
g13
Nsg14
Nsg15
VFALSE
p12498
sbg8
(g9
g10
NtRp12499
(dp12500
g13
Nsg14
Nsg15
VEuropean Environment Agency
p12501
sbg8
(g9
g10
NtRp12502
(dp12503
g13
Nsg14
Nsg15
VFALSE
p12504
sbNNNNNNNg8
(g9
g10
NtRp12505
(dp12506
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12507
(dp12508
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12509
(dp12510
g13
Nsg14
Nsg15
Vcopernicus_r_3035_100_m_fty_2011-2012
p12511
sbNg8
(g9
g10
NtRp12512
(dp12513
g13
Nsg14
Nsg15
Vobsolete
p12514
sbtp12515
a(g8
(g9
g10
NtRp12516
(dp12517
g13
Nsg14
Nsg15
V9e690d13-c239-45fc-a6ee-abfc6391c765
p12518
sbNg8
(g9
g10
NtRp12519
(dp12520
g13
Nsg14
Nsg15
VPreliminary version of a Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE, resolution 1 arcsec)
p12521
sbNNNNNg8
(g9
g10
NtRp12522
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g13
Nsg14
Nsg15
VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.
p12524
sbNNg8
(g9
g10
NtRp12525
(dp12526
g13
Nsg14
Nsg15
VFALSE
p12527
sbNNNg8
(g9
g10
NtRp12528
(dp12529
g13
Nsg14
Nsg15
VFALSE
p12530
sbNNg8
(g9
g10
NtRp12531
(dp12532
g13
Nsg14
Nsg15
VFALSE
p12533
sbNNg8
(g9
g10
NtRp12534
(dp12535
g13
Nsg14
Nsg15
VFALSE
p12536
sbNg8
(g9
g10
NtRp12537
(dp12538
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e690d13-c239-45fc-a6ee-abfc6391c765.png
p12539
sbg8
(g9
g10
NtRp12540
(dp12541
g13
Nsg14
Nsg15
VEPSG:4326
p12542
sbg8
(g9
g10
NtRp12543
(dp12544
g13
Nsg14
Nsg15
V2019-06-04
p12545
sbNNg8
(g9
g10
NtRp12546
(dp12547
g13
Nsg14
Nsg15
VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p12548
sbg8
(g9
g10
NtRp12549
(dp12550
g13
Nsg14
Nsg15
Vgrid
p12551
sbg8
(g9
g10
NtRp12552
(dp12553
g13
Nsg14
Nsg15
VGTiff
p12554
sbNg8
(g9
g10
NtRp12555
(dp12556
g13
Nsg14
Nsg15
V0.0002777777778deg
p12557
sbNg8
(g9
g10
NtRp12558
(dp12559
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p12560
sbg8
(g9
g10
NtRp12561
(dp12562
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e690d13-c239-45fc-a6ee-abfc6391c765
p12563
sbg8
(g9
g10
NtRp12564
(dp12565
g13
Nsg14
g74
sg15
V2000
p12566
sbg8
(g9
g10
NtRp12567
(dp12568
g13
Nsg14
g74
sg15
V2010
p12569
sbg8
(g9
g10
NtRp12570
(dp12571
g13
Nsg14
Nsg15
VTRUE
p12572
sbg8
(g9
g10
NtRp12573
(dp12574
g13
Nsg14
Nsg15
VElevation|Hydrography
p12575
sbg8
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VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000a\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000a\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000a\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
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VFALSE
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p12587
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Ventr_r_4326_1_arcsec_gsgrda-eudem_2012
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V1f438d68-b984-4d36-81f7-2b9684116caa
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VHigh Resolution Layer: Imperviousness Change 2009-2012 (raster 100m), Apr. 2016
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VImperviousness Change (IMC) 2009-2012 is a 100m raster dataset showing change in imperviousness between 2009 and 2012 reference years. This product is based on a change mapping using the 2009 and 2012 imperviousness status layers. A filtering step is applied to distinguish real change from noise in the data. Given that errors found in the 2009 product are not corrected in the 2009 status layer, we recommend to use only this change product (not the status layers!) for applications that focus on change. A fully re-processed time series of imperviousness data (including the 2009-2012 change product) is currently being produced as part of the 2015 reference year production, and will be available from early 2018. These products will fully replace all previous versions.\u000a\u000aThe production of the Imperviousness Change (IMC) 2009-2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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V2019-06-04
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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Vgrid
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VGTiff
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V100m
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VChange mapping using the 2009 and 2012 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f438d68-b984-4d36-81f7-2b9684116caa
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VTRUE
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VLand cover|EEA39
p12658
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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Vcopernicus_r_3035_100_m_imc_2009-2012
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Vd22b133d-b781-4b0d-914f-5b66f1911999
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VMSFD (Article 4) marine regions - version 1, February 2017
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VIn the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.
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Vhttps://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions
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V1:100000
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VThe delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\u000aThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d  available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\u000a\u000aThe layer should be used on the following basis:\u000aa. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\u000ab. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1).\u000ac. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\u000ad. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.".\u000ae. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\u000af. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\u000a\u000aFinally, the following note is relevant for the understanding of the layer:\u000a-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\u000a\u000aThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d22b133d-b781-4b0d-914f-5b66f1911999
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VArea management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Black Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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Vsuperseded
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Vf25f9f5c-682b-4030-9b3d-0f4842c69e9c
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VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
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Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
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VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 06JUL22121049-M1BS-052239075060_01_P006 (PS) (Date: 2006/07/22) \u000a                      * Spot 5 2,50 m - 06OCT20121343-M1BS-052239075060_01_P002 (PS) (Date: 2006/10/20) \u000a                      * Spot 5 2,50 m - 06OCT20121346-M1BS-052239075060_01_P003 (PS) (Date: 2006/10/20) \u000a                      * Spot 5 2,50 m - 06OCT25121904-M1BS-052239075060_01_P001 (PS) (Date: 2006/10/25) \u000a                      * Spot 5 2,50 m - 08JAN21121253-M1BS-052239075060_01_P004 (PS) (Date: 2008/01/21) \u000a                      * Spot 5 2,50 m - 08JAN21121257-M1BS-052239075060_01_P005 (PS) (Date: 2008/01/21) \u000a                      * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455910_104088 (XS) (Date: 2009/12/13) \u000a                      * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455911_104088 (XS) (Date: 2009/12/13) \u000a                      * RapidEye - 2009-12-13T125255_RE1_3A-NAC_5455912_104088 (XS) (Date: 2009/12/13) \u000a                      * RapidEye - 2009-12-13T125256_RE1_3A-NAC_5455909_104088 (XS) (Date: 2009/12/13)
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f25f9f5c-682b-4030-9b3d-0f4842c69e9c
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
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V2f19a7b7-3f52-41ab-af67-699c3ec80f4c
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VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
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Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
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Nsg15
VFALSE
p12850
sbNNNg8
(g9
g10
NtRp12851
(dp12852
g13
Nsg14
Nsg15
VFALSE
p12853
sbNNg8
(g9
g10
NtRp12854
(dp12855
g13
Nsg14
Nsg15
VFALSE
p12856
sbNNg8
(g9
g10
NtRp12857
(dp12858
g13
Nsg14
Nsg15
VFALSE
p12859
sbNg8
(g9
g10
NtRp12860
(dp12861
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f19a7b7-3f52-41ab-af67-699c3ec80f4c.png
p12862
sbg8
(g9
g10
NtRp12863
(dp12864
g13
Nsg14
Nsg15
VEPSG:32628
p12865
sbg8
(g9
g10
NtRp12866
(dp12867
g13
Nsg14
Nsg15
V2019-06-04
p12868
sbNNg8
(g9
g10
NtRp12869
(dp12870
g13
Nsg14
Nsg15
Vland use|urban area
p12871
sbg8
(g9
g10
NtRp12872
(dp12873
g13
Nsg14
Nsg15
Vvector
p12874
sbg8
(g9
g10
NtRp12875
(dp12876
g13
Nsg14
Nsg15
VSHP
p12877
sbNg8
(g9
g10
NtRp12878
(dp12879
g13
Nsg14
Nsg15
V1:10000
p12880
sbNg8
(g9
g10
NtRp12881
(dp12882
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538034 (PS) (Date: 2006/08/26)
p12883
sbg8
(g9
g10
NtRp12884
(dp12885
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f19a7b7-3f52-41ab-af67-699c3ec80f4c
p12886
sbNNg8
(g9
g10
NtRp12887
(dp12888
g13
Nsg14
Nsg15
VFALSE
p12889
sbg8
(g9
g10
NtRp12890
(dp12891
g13
Nsg14
Nsg15
VLand use|Las Palmas de Gran Canaria|Spain
p12892
sbg8
(g9
g10
NtRp12893
(dp12894
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p12895
sbg8
(g9
g10
NtRp12896
(dp12897
g13
Nsg14
Nsg15
VFALSE
p12898
sbNg8
(g9
g10
NtRp12899
(dp12900
g13
Nsg14
Nsg15
VFALSE
p12901
sbNNNNNNNg8
(g9
g10
NtRp12902
(dp12903
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12904
(dp12905
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12906
(dp12907
g13
Nsg14
Nsg15
Vregio_v_32628_10_k_urban-atlas-es008l_las_palmas_2006
p12908
sbNg8
(g9
g10
NtRp12909
(dp12910
g13
Nsg14
Nsg15
Vobsolete
p12911
sbtp12912
a(g8
(g9
g10
NtRp12913
(dp12914
g13
Nsg14
Nsg15
V419fd081-26cf-48d7-9ed3-cef4e6b97512
p12915
sbNg8
(g9
g10
NtRp12916
(dp12917
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Santa Cruz de Tenerife
p12918
sbNNNNNg8
(g9
g10
NtRp12919
(dp12920
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p12921
sbg8
(g23
g10
NtRp12922
(dp12923
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p12924
sbNg8
(g9
g10
NtRp12925
(dp12926
g13
Nsg14
Nsg15
VFALSE
p12927
sbNNNg8
(g9
g10
NtRp12928
(dp12929
g13
Nsg14
Nsg15
VFALSE
p12930
sbNNg8
(g9
g10
NtRp12931
(dp12932
g13
Nsg14
Nsg15
VFALSE
p12933
sbNNg8
(g9
g10
NtRp12934
(dp12935
g13
Nsg14
Nsg15
VFALSE
p12936
sbNg8
(g9
g10
NtRp12937
(dp12938
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/419fd081-26cf-48d7-9ed3-cef4e6b97512.png
p12939
sbg8
(g9
g10
NtRp12940
(dp12941
g13
Nsg14
Nsg15
VEPSG:32628
p12942
sbg8
(g9
g10
NtRp12943
(dp12944
g13
Nsg14
Nsg15
V2019-06-04
p12945
sbNNg8
(g9
g10
NtRp12946
(dp12947
g13
Nsg14
Nsg15
Vland use|urban area
p12948
sbg8
(g9
g10
NtRp12949
(dp12950
g13
Nsg14
Nsg15
Vvector
p12951
sbg8
(g9
g10
NtRp12952
(dp12953
g13
Nsg14
Nsg15
VSHP
p12954
sbNg8
(g9
g10
NtRp12955
(dp12956
g13
Nsg14
Nsg15
V1:10000
p12957
sbNg8
(g9
g10
NtRp12958
(dp12959
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50152930609011143051B0 (PS) (Date: 2006/09/01)
p12960
sbg8
(g9
g10
NtRp12961
(dp12962
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/419fd081-26cf-48d7-9ed3-cef4e6b97512
p12963
sbNNg8
(g9
g10
NtRp12964
(dp12965
g13
Nsg14
Nsg15
VFALSE
p12966
sbg8
(g9
g10
NtRp12967
(dp12968
g13
Nsg14
Nsg15
VLand use|Santa Cruz de Tenerife|Spain
p12969
sbg8
(g9
g10
NtRp12970
(dp12971
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p12972
sbg8
(g9
g10
NtRp12973
(dp12974
g13
Nsg14
Nsg15
VFALSE
p12975
sbNg8
(g9
g10
NtRp12976
(dp12977
g13
Nsg14
Nsg15
VFALSE
p12978
sbNNNNNNNg8
(g9
g10
NtRp12979
(dp12980
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp12981
(dp12982
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp12983
(dp12984
g13
Nsg14
Nsg15
Vregio_v_32628_10_k_urban-atlas-es025l_santa_cruz_de_tenerife_2006
p12985
sbNg8
(g9
g10
NtRp12986
(dp12987
g13
Nsg14
Nsg15
Vobsolete
p12988
sbtp12989
a(g8
(g9
g10
NtRp12990
(dp12991
g13
Nsg14
Nsg15
V1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd
p12992
sbNg8
(g9
g10
NtRp12993
(dp12994
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009 - Jan. 2013
p12995
sbNNNNNg8
(g9
g10
NtRp12996
(dp12997
g13
Nsg14
Nsg15
VThe imperviousness changes 2006-2009 datasets produced by Geoland consist in:\u000a- one dataset about built-up changes at 20m resolution\u000a- one dataset about built-up changes at 100m resolution\u000a- one dataset about imperviousness changes at 20m resolution\u000a- one dataset about imperviousness changes at 100m resolution\u000a- one dataset about imperviousness changes metadata at 100m resolution\u000a- one dataset with filtered imperviousness changes at 20m resolution in order to keep the most significant changes
p12998
sbNNg8
(g9
g10
NtRp12999
(dp13000
g13
Nsg14
Nsg15
VFALSE
p13001
sbNNNg8
(g9
g10
NtRp13002
(dp13003
g13
Nsg14
Nsg15
VFALSE
p13004
sbNNg8
(g9
g10
NtRp13005
(dp13006
g13
Nsg14
Nsg15
VFALSE
p13007
sbNNg8
(g9
g10
NtRp13008
(dp13009
g13
Nsg14
Nsg15
VFALSE
p13010
sbNg8
(g9
g10
NtRp13011
(dp13012
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd.png
p13013
sbg8
(g9
g10
NtRp13014
(dp13015
g13
Nsg14
Nsg15
VEPSG:3035
p13016
sbg8
(g9
g10
NtRp13017
(dp13018
g13
Nsg14
Nsg15
V2019-06-04
p13019
sbNNg8
(g9
g10
NtRp13020
(dp13021
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13022
sbg8
(g9
g10
NtRp13023
(dp13024
g13
Nsg14
Nsg15
Vgrid
p13025
sbg8
(g9
g10
NtRp13026
(dp13027
g13
Nsg14
Nsg15
VGTiff
p13028
sbNg8
(g9
g10
NtRp13029
(dp13030
g13
Nsg14
Nsg15
V20m
p13031
sbNg8
(g9
g10
NtRp13032
(dp13033
g13
Nsg14
Nsg15
VRefer to the report entitled "Delivery Report Revised Soil Sealing 2006 products EEA-38" for general information.
p13034
sbg8
(g9
g10
NtRp13035
(dp13036
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd
p13037
sbNNg8
(g9
g10
NtRp13038
(dp13039
g13
Nsg14
Nsg15
VFALSE
p13040
sbg8
(g9
g10
NtRp13041
(dp13042
g13
Nsg14
Nsg15
VLand cover
p13043
sbg8
(g9
g10
NtRp13044
(dp13045
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13046
sbg8
(g9
g10
NtRp13047
(dp13048
g13
Nsg14
Nsg15
VFALSE
p13049
sbNg8
(g9
g10
NtRp13050
(dp13051
g13
Nsg14
Nsg15
VFALSE
p13052
sbNNNNNNNg8
(g9
g10
NtRp13053
(dp13054
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13055
(dp13056
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13057
(dp13058
g13
Nsg14
Nsg15
Vgeoland2_r_3035_xxx_m_imperviousness-changes_2006-2009
p13059
sbNg8
(g9
g10
NtRp13060
(dp13061
g13
Nsg14
Nsg15
Vobsolete
p13062
sbtp13063
a(g8
(g9
g10
NtRp13064
(dp13065
g13
Nsg14
Nsg15
V5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd
p13066
sbNg8
(g9
g10
NtRp13067
(dp13068
g13
Nsg14
Nsg15
VImperviousness 2009, degrees of imperviousness 100m - Jan. 2013
p13069
sbNNNNNg8
(g9
g10
NtRp13070
(dp13071
g13
Nsg14
Nsg15
VHigh resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies.\u000aClasses:\u000a0: Unsealed\u000a1-100: Degrees of Sealing / Imperviousness\u000a254: Clouds, No data\u000a255: Outside area
p13072
sbNNg8
(g9
g10
NtRp13073
(dp13074
g13
Nsg14
Nsg15
VFALSE
p13075
sbNNNg8
(g9
g10
NtRp13076
(dp13077
g13
Nsg14
Nsg15
VFALSE
p13078
sbNNg8
(g9
g10
NtRp13079
(dp13080
g13
Nsg14
Nsg15
VFALSE
p13081
sbNNg8
(g9
g10
NtRp13082
(dp13083
g13
Nsg14
Nsg15
VFALSE
p13084
sbNg8
(g9
g10
NtRp13085
(dp13086
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd.png
p13087
sbg8
(g9
g10
NtRp13088
(dp13089
g13
Nsg14
Nsg15
VEPSG:3035
p13090
sbg8
(g9
g10
NtRp13091
(dp13092
g13
Nsg14
Nsg15
V2019-06-04
p13093
sbNNg8
(g9
g10
NtRp13094
(dp13095
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13096
sbg8
(g9
g10
NtRp13097
(dp13098
g13
Nsg14
Nsg15
Vgrid
p13099
sbg8
(g9
g10
NtRp13100
(dp13101
g13
Nsg14
Nsg15
VGTiff
p13102
sbNg8
(g9
g10
NtRp13103
(dp13104
g13
Nsg14
Nsg15
V100m
p13105
sbNg8
(g9
g10
NtRp13106
(dp13107
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.
p13108
sbg8
(g9
g10
NtRp13109
(dp13110
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd
p13111
sbNNg8
(g9
g10
NtRp13112
(dp13113
g13
Nsg14
Nsg15
VFALSE
p13114
sbg8
(g9
g10
NtRp13115
(dp13116
g13
Nsg14
Nsg15
VLand cover
p13117
sbg8
(g9
g10
NtRp13118
(dp13119
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13120
sbg8
(g9
g10
NtRp13121
(dp13122
g13
Nsg14
Nsg15
VFALSE
p13123
sbNg8
(g9
g10
NtRp13124
(dp13125
g13
Nsg14
Nsg15
VFALSE
p13126
sbNNNNNNNg8
(g9
g10
NtRp13127
(dp13128
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13129
(dp13130
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13131
(dp13132
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_imperviousness-degrees_2009
p13133
sbNg8
(g9
g10
NtRp13134
(dp13135
g13
Nsg14
Nsg15
Vobsolete
p13136
sbtp13137
a(g8
(g9
g10
NtRp13138
(dp13139
g13
Nsg14
Nsg15
V0d04aa58-788c-4545-a312-25d918d86f77
p13140
sbNg8
(g9
g10
NtRp13141
(dp13142
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, changes 100m metadata - Jan. 2013
p13143
sbNNNNNg8
(g9
g10
NtRp13144
(dp13145
g13
Nsg14
Nsg15
VRaster dataset containing the number of valid 20m cells used for each 100m cell of the dataset about imperviousness changes at 100m resolution.\u000a\u000aClasses:\u000a\u000a0: Outside area\u000a\u000a1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window
p13146
sbNNg8
(g9
g10
NtRp13147
(dp13148
g13
Nsg14
Nsg15
VFALSE
p13149
sbNNNg8
(g9
g10
NtRp13150
(dp13151
g13
Nsg14
Nsg15
VFALSE
p13152
sbNNg8
(g9
g10
NtRp13153
(dp13154
g13
Nsg14
Nsg15
VFALSE
p13155
sbNNg8
(g9
g10
NtRp13156
(dp13157
g13
Nsg14
Nsg15
VFALSE
p13158
sbNg8
(g9
g10
NtRp13159
(dp13160
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d04aa58-788c-4545-a312-25d918d86f77.png
p13161
sbg8
(g9
g10
NtRp13162
(dp13163
g13
Nsg14
Nsg15
VEPSG:3035
p13164
sbg8
(g9
g10
NtRp13165
(dp13166
g13
Nsg14
Nsg15
V2019-06-04
p13167
sbNNg8
(g9
g10
NtRp13168
(dp13169
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13170
sbg8
(g9
g10
NtRp13171
(dp13172
g13
Nsg14
Nsg15
Vgrid
p13173
sbg8
(g9
g10
NtRp13174
(dp13175
g13
Nsg14
Nsg15
VGTiff
p13176
sbNg8
(g9
g10
NtRp13177
(dp13178
g13
Nsg14
Nsg15
V100m
p13179
sbNg8
(g9
g10
NtRp13180
(dp13181
g13
Nsg14
Nsg15
VNot available.
p13182
sbg8
(g9
g10
NtRp13183
(dp13184
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d04aa58-788c-4545-a312-25d918d86f77
p13185
sbNNg8
(g9
g10
NtRp13186
(dp13187
g13
Nsg14
Nsg15
VFALSE
p13188
sbg8
(g9
g10
NtRp13189
(dp13190
g13
Nsg14
Nsg15
VLand cover
p13191
sbg8
(g9
g10
NtRp13192
(dp13193
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13194
sbg8
(g9
g10
NtRp13195
(dp13196
g13
Nsg14
Nsg15
VFALSE
p13197
sbNg8
(g9
g10
NtRp13198
(dp13199
g13
Nsg14
Nsg15
VFALSE
p13200
sbNNNNNNNg8
(g9
g10
NtRp13201
(dp13202
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13203
(dp13204
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13205
(dp13206
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_imperviousness-changes-metadata_2006-2009
p13207
sbNg8
(g9
g10
NtRp13208
(dp13209
g13
Nsg14
Nsg15
Vobsolete
p13210
sbtp13211
a(g8
(g9
g10
NtRp13212
(dp13213
g13
Nsg14
Nsg15
V56f4508d-a565-4673-9cda-52a75a5f6d66
p13214
sbNg8
(g9
g10
NtRp13215
(dp13216
g13
Nsg14
Nsg15
VImperviousness 2009, degrees of imperviousness 20m - Jan. 2013
p13217
sbNNNNNg8
(g9
g10
NtRp13218
(dp13219
g13
Nsg14
Nsg15
VHigh resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies.\u000aClasses:\u000a0: Unsealed\u000a1-100: Degrees of Sealing / Imperviousness\u000a254: Clouds, No data\u000a255: Outside area
p13220
sbNNg8
(g9
g10
NtRp13221
(dp13222
g13
Nsg14
Nsg15
VFALSE
p13223
sbNNNg8
(g9
g10
NtRp13224
(dp13225
g13
Nsg14
Nsg15
VFALSE
p13226
sbNNg8
(g9
g10
NtRp13227
(dp13228
g13
Nsg14
Nsg15
VFALSE
p13229
sbNNg8
(g9
g10
NtRp13230
(dp13231
g13
Nsg14
Nsg15
VFALSE
p13232
sbNg8
(g9
g10
NtRp13233
(dp13234
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/56f4508d-a565-4673-9cda-52a75a5f6d66.png
p13235
sbg8
(g9
g10
NtRp13236
(dp13237
g13
Nsg14
Nsg15
VEPSG:3035
p13238
sbg8
(g9
g10
NtRp13239
(dp13240
g13
Nsg14
Nsg15
V2019-06-04
p13241
sbNNg8
(g9
g10
NtRp13242
(dp13243
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13244
sbg8
(g9
g10
NtRp13245
(dp13246
g13
Nsg14
Nsg15
Vgrid
p13247
sbg8
(g9
g10
NtRp13248
(dp13249
g13
Nsg14
Nsg15
VGTiff
p13250
sbNg8
(g9
g10
NtRp13251
(dp13252
g13
Nsg14
Nsg15
V20m
p13253
sbNg8
(g9
g10
NtRp13254
(dp13255
g13
Nsg14
Nsg15
VPixel-based layer of built-up areas including degree of soil sealing.\u000aIt serves as an update of the soil sealing layer of 2006. \u000aMethodology comprises the following steps: a) A hybrid automated classification with supervised and unsupervised elements, leading to binary maps of built-up areas b) Manual correction of the binary map to obtain the required quantitative thematic accuracy (85%) as well as good qualitative results c) Derivation of the soil sealing levels based on the NDVI (Normalised Difference Vegetation Index).\u000aA histogram smoothing procedure was applied where gaps in the histogram are partially filled. The sealing 09 degrees have been modified by no more than 1 sealing degree (up or down) for this purpose.\u000aRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation for further details.
p13256
sbg8
(g9
g10
NtRp13257
(dp13258
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56f4508d-a565-4673-9cda-52a75a5f6d66
p13259
sbNNg8
(g9
g10
NtRp13260
(dp13261
g13
Nsg14
Nsg15
VFALSE
p13262
sbg8
(g9
g10
NtRp13263
(dp13264
g13
Nsg14
Nsg15
VLand cover
p13265
sbg8
(g9
g10
NtRp13266
(dp13267
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13268
sbg8
(g9
g10
NtRp13269
(dp13270
g13
Nsg14
Nsg15
VFALSE
p13271
sbNg8
(g9
g10
NtRp13272
(dp13273
g13
Nsg14
Nsg15
VFALSE
p13274
sbNNNNNNNg8
(g9
g10
NtRp13275
(dp13276
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13277
(dp13278
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13279
(dp13280
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_imperviousness-degrees_2009
p13281
sbNg8
(g9
g10
NtRp13282
(dp13283
g13
Nsg14
Nsg15
Vobsolete
p13284
sbtp13285
a(g8
(g9
g10
NtRp13286
(dp13287
g13
Nsg14
Nsg15
V5c8e3269-75f1-4287-896c-df203537686d
p13288
sbNg8
(g9
g10
NtRp13289
(dp13290
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, 100m degrees of sealing metadata - Jan. 2013
p13291
sbNNNNNg8
(g9
g10
NtRp13292
(dp13293
g13
Nsg14
Nsg15
VRaster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution.\u000a			\u000aClasses:\u000a0: 	Outside area\u000a1-25: 	Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window
p13294
sbNNg8
(g9
g10
NtRp13295
(dp13296
g13
Nsg14
Nsg15
VFALSE
p13297
sbNNNg8
(g9
g10
NtRp13298
(dp13299
g13
Nsg14
Nsg15
VFALSE
p13300
sbNNg8
(g9
g10
NtRp13301
(dp13302
g13
Nsg14
Nsg15
VFALSE
p13303
sbNNg8
(g9
g10
NtRp13304
(dp13305
g13
Nsg14
Nsg15
VFALSE
p13306
sbNg8
(g9
g10
NtRp13307
(dp13308
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c8e3269-75f1-4287-896c-df203537686d.png
p13309
sbg8
(g9
g10
NtRp13310
(dp13311
g13
Nsg14
Nsg15
VEPSG:3035
p13312
sbg8
(g9
g10
NtRp13313
(dp13314
g13
Nsg14
Nsg15
V2019-06-04
p13315
sbNNg8
(g9
g10
NtRp13316
(dp13317
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13318
sbg8
(g9
g10
NtRp13319
(dp13320
g13
Nsg14
Nsg15
Vgrid
p13321
sbg8
(g9
g10
NtRp13322
(dp13323
g13
Nsg14
Nsg15
VGTiff
p13324
sbNg8
(g9
g10
NtRp13325
(dp13326
g13
Nsg14
Nsg15
V100m
p13327
sbNg8
(g9
g10
NtRp13328
(dp13329
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p13330
sbg8
(g9
g10
NtRp13331
(dp13332
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e3269-75f1-4287-896c-df203537686d
p13333
sbNNg8
(g9
g10
NtRp13334
(dp13335
g13
Nsg14
Nsg15
VFALSE
p13336
sbg8
(g9
g10
NtRp13337
(dp13338
g13
Nsg14
Nsg15
VLand cover
p13339
sbg8
(g9
g10
NtRp13340
(dp13341
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13342
sbg8
(g9
g10
NtRp13343
(dp13344
g13
Nsg14
Nsg15
VFALSE
p13345
sbNg8
(g9
g10
NtRp13346
(dp13347
g13
Nsg14
Nsg15
VFALSE
p13348
sbNNNNNNNg8
(g9
g10
NtRp13349
(dp13350
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13351
(dp13352
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13353
(dp13354
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_revised-soil-sealing-degrees-metadata_2006
p13355
sbNg8
(g9
g10
NtRp13356
(dp13357
g13
Nsg14
Nsg15
Vobsolete
p13358
sbtp13359
a(g8
(g9
g10
NtRp13360
(dp13361
g13
Nsg14
Nsg15
V2c089ecd-2aa0-472d-8ac5-6f314cf48024
p13362
sbNg8
(g9
g10
NtRp13363
(dp13364
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, filtered changes 20m - Jan. 2013
p13365
sbNNNNNg8
(g9
g10
NtRp13366
(dp13367
g13
Nsg14
Nsg15
VRaster datasets indicating changes in degrees of imperviousness. Changes are filtered to exclude areas being smaller than 5 pixels as well as pixels with changes smaller than +/-30%. This filtering leads to better reliability of changes mapped. Changes are expressed as follows:\u000a\u000aDegree 2009 \u2013 Degree 2006 + 100.\u000a\u000aClasses:\u000a0-99:	 decreased imperviousness density \u000a100:	 unchanged areas with imperviousness degrees of 1-100 \u000a101-200: increased imperviousness density \u000a201: 	 unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009)\u000a254: 	 unclassifiable (no satellite image available, or clouds, shadows, or snow) \u000a255: 	 outside area
p13368
sbNNg8
(g9
g10
NtRp13369
(dp13370
g13
Nsg14
Nsg15
VFALSE
p13371
sbNNNg8
(g9
g10
NtRp13372
(dp13373
g13
Nsg14
Nsg15
VFALSE
p13374
sbNNg8
(g9
g10
NtRp13375
(dp13376
g13
Nsg14
Nsg15
VFALSE
p13377
sbNNg8
(g9
g10
NtRp13378
(dp13379
g13
Nsg14
Nsg15
VFALSE
p13380
sbNg8
(g9
g10
NtRp13381
(dp13382
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2c089ecd-2aa0-472d-8ac5-6f314cf48024.png
p13383
sbg8
(g9
g10
NtRp13384
(dp13385
g13
Nsg14
Nsg15
VEPSG:3035
p13386
sbg8
(g9
g10
NtRp13387
(dp13388
g13
Nsg14
Nsg15
V2019-06-04
p13389
sbNNg8
(g9
g10
NtRp13390
(dp13391
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p13392
sbg8
(g9
g10
NtRp13393
(dp13394
g13
Nsg14
Nsg15
Vgrid
p13395
sbg8
(g9
g10
NtRp13396
(dp13397
g13
Nsg14
Nsg15
VGTiff
p13398
sbNg8
(g9
g10
NtRp13399
(dp13400
g13
Nsg14
Nsg15
V20m
p13401
sbNg8
(g9
g10
NtRp13402
(dp13403
g13
Nsg14
Nsg15
VNot available.
p13404
sbg8
(g9
g10
NtRp13405
(dp13406
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c089ecd-2aa0-472d-8ac5-6f314cf48024
p13407
sbNNg8
(g9
g10
NtRp13408
(dp13409
g13
Nsg14
Nsg15
VFALSE
p13410
sbg8
(g9
g10
NtRp13411
(dp13412
g13
Nsg14
Nsg15
VLand cover
p13413
sbg8
(g9
g10
NtRp13414
(dp13415
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p13416
sbg8
(g9
g10
NtRp13417
(dp13418
g13
Nsg14
Nsg15
VFALSE
p13419
sbNg8
(g9
g10
NtRp13420
(dp13421
g13
Nsg14
Nsg15
VFALSE
p13422
sbNNNNNNNg8
(g9
g10
NtRp13423
(dp13424
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13425
(dp13426
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13427
(dp13428
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_filtered-imperviousness-changes_2006-2009
p13429
sbNg8
(g9
g10
NtRp13430
(dp13431
g13
Nsg14
Nsg15
Vobsolete
p13432
sbtp13433
a(g8
(g9
g10
NtRp13434
(dp13435
g13
Nsg14
Nsg15
V2856fddd-5419-45da-8425-d27ee56961a5
p13436
sbNg8
(g9
g10
NtRp13437
(dp13438
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Plovdiv (\u041f\u043b\u043e\u0432\u0434\u0438\u0432)
p13439
sbNNNNNg8
(g9
g10
NtRp13440
(dp13441
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13442
sbg8
(g23
g10
NtRp13443
(dp13444
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13445
sbNg8
(g9
g10
NtRp13446
(dp13447
g13
Nsg14
Nsg15
VFALSE
p13448
sbNNNg8
(g9
g10
NtRp13449
(dp13450
g13
Nsg14
Nsg15
VFALSE
p13451
sbNNg8
(g9
g10
NtRp13452
(dp13453
g13
Nsg14
Nsg15
VFALSE
p13454
sbNNg8
(g9
g10
NtRp13455
(dp13456
g13
Nsg14
Nsg15
VFALSE
p13457
sbNg8
(g9
g10
NtRp13458
(dp13459
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2856fddd-5419-45da-8425-d27ee56961a5.png
p13460
sbNg8
(g9
g10
NtRp13461
(dp13462
g13
Nsg14
Nsg15
V2019-06-04
p13463
sbNNg8
(g9
g10
NtRp13464
(dp13465
g13
Nsg14
Nsg15
Vland use|urban area
p13466
sbg8
(g9
g10
NtRp13467
(dp13468
g13
Nsg14
Nsg15
Vvector
p13469
sbg8
(g9
g10
NtRp13470
(dp13471
g13
Nsg14
Nsg15
VSHP
p13472
sbNg8
(g9
g10
NtRp13473
(dp13474
g13
Nsg14
Nsg15
V1:10000
p13475
sbNg8
(g9
g10
NtRp13476
(dp13477
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183756058 (PS) (Date: 2007/07/23) \u000a                      * Spot 5 2,50 m - 00183538064 (PS) (Date: 2007/09/28)
p13478
sbg8
(g9
g10
NtRp13479
(dp13480
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2856fddd-5419-45da-8425-d27ee56961a5
p13481
sbNNg8
(g9
g10
NtRp13482
(dp13483
g13
Nsg14
Nsg15
VFALSE
p13484
sbg8
(g9
g10
NtRp13485
(dp13486
g13
Nsg14
Nsg15
VBulgaria|Land use|Plovdiv
p13487
sbg8
(g9
g10
NtRp13488
(dp13489
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13490
sbg8
(g9
g10
NtRp13491
(dp13492
g13
Nsg14
Nsg15
VFALSE
p13493
sbNg8
(g9
g10
NtRp13494
(dp13495
g13
Nsg14
Nsg15
VFALSE
p13496
sbNNNNNNNg8
(g9
g10
NtRp13497
(dp13498
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13499
(dp13500
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13501
(dp13502
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg002l_plovdiv_2007
p13503
sbNg8
(g9
g10
NtRp13504
(dp13505
g13
Nsg14
Nsg15
Vobsolete
p13506
sbtp13507
a(g8
(g9
g10
NtRp13508
(dp13509
g13
Nsg14
Nsg15
Veb967443-41db-4468-bf56-41ed2d05e875
p13510
sbNg8
(g9
g10
NtRp13511
(dp13512
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Br\u0103ila
p13513
sbNNNNNg8
(g9
g10
NtRp13514
(dp13515
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13516
sbg8
(g23
g10
NtRp13517
(dp13518
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13519
sbNg8
(g9
g10
NtRp13520
(dp13521
g13
Nsg14
Nsg15
VFALSE
p13522
sbNNNg8
(g9
g10
NtRp13523
(dp13524
g13
Nsg14
Nsg15
VFALSE
p13525
sbNNg8
(g9
g10
NtRp13526
(dp13527
g13
Nsg14
Nsg15
VFALSE
p13528
sbNNg8
(g9
g10
NtRp13529
(dp13530
g13
Nsg14
Nsg15
VFALSE
p13531
sbNg8
(g9
g10
NtRp13532
(dp13533
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/eb967443-41db-4468-bf56-41ed2d05e875.png
p13534
sbNg8
(g9
g10
NtRp13535
(dp13536
g13
Nsg14
Nsg15
V2019-06-04
p13537
sbNNg8
(g9
g10
NtRp13538
(dp13539
g13
Nsg14
Nsg15
Vland use|urban area
p13540
sbg8
(g9
g10
NtRp13541
(dp13542
g13
Nsg14
Nsg15
Vvector
p13543
sbg8
(g9
g10
NtRp13544
(dp13545
g13
Nsg14
Nsg15
VSHP
p13546
sbNg8
(g9
g10
NtRp13547
(dp13548
g13
Nsg14
Nsg15
V1:10000
p13549
sbNg8
(g9
g10
NtRp13550
(dp13551
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00185800034 (PS) (Date: 2006/10/10)
p13552
sbg8
(g9
g10
NtRp13553
(dp13554
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eb967443-41db-4468-bf56-41ed2d05e875
p13555
sbNNg8
(g9
g10
NtRp13556
(dp13557
g13
Nsg14
Nsg15
VFALSE
p13558
sbg8
(g9
g10
NtRp13559
(dp13560
g13
Nsg14
Nsg15
VBr\u0103ila|Land use|Romania
p13561
sbg8
(g9
g10
NtRp13562
(dp13563
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13564
sbg8
(g9
g10
NtRp13565
(dp13566
g13
Nsg14
Nsg15
VFALSE
p13567
sbNg8
(g9
g10
NtRp13568
(dp13569
g13
Nsg14
Nsg15
VFALSE
p13570
sbNNNNNNNg8
(g9
g10
NtRp13571
(dp13572
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13573
(dp13574
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13575
(dp13576
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro005l_braila_2006
p13577
sbNg8
(g9
g10
NtRp13578
(dp13579
g13
Nsg14
Nsg15
Vobsolete
p13580
sbtp13581
a(g8
(g9
g10
NtRp13582
(dp13583
g13
Nsg14
Nsg15
Ve024d68d-f206-482f-a91f-b466a7d3b8be
p13584
sbNg8
(g9
g10
NtRp13585
(dp13586
g13
Nsg14
Nsg15
VUrban Atlas - Poland - P\u0142ock
p13587
sbNNNNNg8
(g9
g10
NtRp13588
(dp13589
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13590
sbg8
(g23
g10
NtRp13591
(dp13592
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13593
sbNg8
(g9
g10
NtRp13594
(dp13595
g13
Nsg14
Nsg15
VFALSE
p13596
sbNNNg8
(g9
g10
NtRp13597
(dp13598
g13
Nsg14
Nsg15
VFALSE
p13599
sbNNg8
(g9
g10
NtRp13600
(dp13601
g13
Nsg14
Nsg15
VFALSE
p13602
sbNNg8
(g9
g10
NtRp13603
(dp13604
g13
Nsg14
Nsg15
VFALSE
p13605
sbNg8
(g9
g10
NtRp13606
(dp13607
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e024d68d-f206-482f-a91f-b466a7d3b8be.png
p13608
sbNg8
(g9
g10
NtRp13609
(dp13610
g13
Nsg14
Nsg15
V2019-06-04
p13611
sbNNg8
(g9
g10
NtRp13612
(dp13613
g13
Nsg14
Nsg15
Vland use|urban area
p13614
sbg8
(g9
g10
NtRp13615
(dp13616
g13
Nsg14
Nsg15
Vvector
p13617
sbg8
(g9
g10
NtRp13618
(dp13619
g13
Nsg14
Nsg15
VSHP
p13620
sbNg8
(g9
g10
NtRp13621
(dp13622
g13
Nsg14
Nsg15
V1:10000
p13623
sbNg8
(g9
g10
NtRp13624
(dp13625
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50702430509271014021B0 (PS (Date: 2005/09/27) \u000a                      * Spot 5 2,50 m - 50732430509180947111B4 (PS) (Date: 2005/09/18)
p13626
sbg8
(g9
g10
NtRp13627
(dp13628
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e024d68d-f206-482f-a91f-b466a7d3b8be
p13629
sbNNg8
(g9
g10
NtRp13630
(dp13631
g13
Nsg14
Nsg15
VFALSE
p13632
sbg8
(g9
g10
NtRp13633
(dp13634
g13
Nsg14
Nsg15
VLand use|Poland|P\u0142ock
p13635
sbg8
(g9
g10
NtRp13636
(dp13637
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13638
sbg8
(g9
g10
NtRp13639
(dp13640
g13
Nsg14
Nsg15
VFALSE
p13641
sbNg8
(g9
g10
NtRp13642
(dp13643
g13
Nsg14
Nsg15
VFALSE
p13644
sbNNNNNNNg8
(g9
g10
NtRp13645
(dp13646
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13647
(dp13648
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13649
(dp13650
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl026l_plock_2005
p13651
sbNg8
(g9
g10
NtRp13652
(dp13653
g13
Nsg14
Nsg15
Vobsolete
p13654
sbtp13655
a(g8
(g9
g10
NtRp13656
(dp13657
g13
Nsg14
Nsg15
V857aeab5-095d-4494-a2d0-737cd4d283e0
p13658
sbNg8
(g9
g10
NtRp13659
(dp13660
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Portsmouth
p13661
sbNNNNNg8
(g9
g10
NtRp13662
(dp13663
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13664
sbg8
(g23
g10
NtRp13665
(dp13666
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13667
sbNg8
(g9
g10
NtRp13668
(dp13669
g13
Nsg14
Nsg15
VFALSE
p13670
sbNNNg8
(g9
g10
NtRp13671
(dp13672
g13
Nsg14
Nsg15
VFALSE
p13673
sbNNg8
(g9
g10
NtRp13674
(dp13675
g13
Nsg14
Nsg15
VFALSE
p13676
sbNNg8
(g9
g10
NtRp13677
(dp13678
g13
Nsg14
Nsg15
VFALSE
p13679
sbNg8
(g9
g10
NtRp13680
(dp13681
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/857aeab5-095d-4494-a2d0-737cd4d283e0.png
p13682
sbNg8
(g9
g10
NtRp13683
(dp13684
g13
Nsg14
Nsg15
V2019-06-04
p13685
sbNNg8
(g9
g10
NtRp13686
(dp13687
g13
Nsg14
Nsg15
Vland use|urban area
p13688
sbg8
(g9
g10
NtRp13689
(dp13690
g13
Nsg14
Nsg15
Vvector
p13691
sbg8
(g9
g10
NtRp13692
(dp13693
g13
Nsg14
Nsg15
VSHP
p13694
sbNg8
(g9
g10
NtRp13695
(dp13696
g13
Nsg14
Nsg15
V1:10000
p13697
sbNg8
(g9
g10
NtRp13698
(dp13699
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 07DEC30112609-M1BS-052239075030_01_P001 (PS) (Date: 2007/12/30) \u000a                      * Spot 5 2,50 m - 07NOV16113548-M1BS-052239075030_01_P002 (PS) (Date: 2007/11/16) \u000a                      * RapidEye 5 m - 2009-05-30T115442_RE2_3A-NAC_ 5465829_104186 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T115443_RE2_3A-NAC_ 5465836_104186 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-10-08T120137_RE4_3A-NAC_ 5465834_104186 (XS) (Date: 2009/10/08) \u000a                      * RapidEye 5 m - 2009-10-08T120140_RE4_3A-NAC_ 5465835_104186 (XS) (Date: 2009/10/08) \u000a                      * RapidEye 5 m - 2009-10-08T120141_RE4_3A-NAC_ 5465830_104186 (XS) (Date: 2009/10/08)
p13700
sbg8
(g9
g10
NtRp13701
(dp13702
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/857aeab5-095d-4494-a2d0-737cd4d283e0
p13703
sbNNg8
(g9
g10
NtRp13704
(dp13705
g13
Nsg14
Nsg15
VFALSE
p13706
sbg8
(g9
g10
NtRp13707
(dp13708
g13
Nsg14
Nsg15
VLand use|Portsmouth|United Kingdom
p13709
sbg8
(g9
g10
NtRp13710
(dp13711
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13712
sbg8
(g9
g10
NtRp13713
(dp13714
g13
Nsg14
Nsg15
VFALSE
p13715
sbNg8
(g9
g10
NtRp13716
(dp13717
g13
Nsg14
Nsg15
VFALSE
p13718
sbNNNNNNNg8
(g9
g10
NtRp13719
(dp13720
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13721
(dp13722
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13723
(dp13724
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk023l_portsmouth_2007-2009
p13725
sbNg8
(g9
g10
NtRp13726
(dp13727
g13
Nsg14
Nsg15
Vobsolete
p13728
sbtp13729
a(g8
(g9
g10
NtRp13730
(dp13731
g13
Nsg14
Nsg15
V12abf56a-4091-4cf3-a265-3c03b56c1b5b
p13732
sbNg8
(g9
g10
NtRp13733
(dp13734
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Aveiro
p13735
sbNNNNNg8
(g9
g10
NtRp13736
(dp13737
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13738
sbg8
(g23
g10
NtRp13739
(dp13740
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13741
sbNg8
(g9
g10
NtRp13742
(dp13743
g13
Nsg14
Nsg15
VFALSE
p13744
sbNNNg8
(g9
g10
NtRp13745
(dp13746
g13
Nsg14
Nsg15
VFALSE
p13747
sbNNg8
(g9
g10
NtRp13748
(dp13749
g13
Nsg14
Nsg15
VFALSE
p13750
sbNNg8
(g9
g10
NtRp13751
(dp13752
g13
Nsg14
Nsg15
VFALSE
p13753
sbNg8
(g9
g10
NtRp13754
(dp13755
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/12abf56a-4091-4cf3-a265-3c03b56c1b5b.png
p13756
sbNg8
(g9
g10
NtRp13757
(dp13758
g13
Nsg14
Nsg15
V2019-06-04
p13759
sbNNg8
(g9
g10
NtRp13760
(dp13761
g13
Nsg14
Nsg15
Vland use|urban area
p13762
sbg8
(g9
g10
NtRp13763
(dp13764
g13
Nsg14
Nsg15
Vvector
p13765
sbg8
(g9
g10
NtRp13766
(dp13767
g13
Nsg14
Nsg15
VSHP
p13768
sbNg8
(g9
g10
NtRp13769
(dp13770
g13
Nsg14
Nsg15
V1:10000
p13771
sbNg8
(g9
g10
NtRp13772
(dp13773
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070508_113348_DLR_6847_PRUTM (XS) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113348_DLR_6847_PRUTM (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_113135_DLR_7941_PRUTM (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_113139_DLR_7941_PRUTM (P) (Date: 2007/07/22)
p13774
sbg8
(g9
g10
NtRp13775
(dp13776
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/12abf56a-4091-4cf3-a265-3c03b56c1b5b
p13777
sbNNg8
(g9
g10
NtRp13778
(dp13779
g13
Nsg14
Nsg15
VFALSE
p13780
sbg8
(g9
g10
NtRp13781
(dp13782
g13
Nsg14
Nsg15
VAveiro|Land use|Portugal
p13783
sbg8
(g9
g10
NtRp13784
(dp13785
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13786
sbg8
(g9
g10
NtRp13787
(dp13788
g13
Nsg14
Nsg15
VFALSE
p13789
sbNg8
(g9
g10
NtRp13790
(dp13791
g13
Nsg14
Nsg15
VFALSE
p13792
sbNNNNNNNg8
(g9
g10
NtRp13793
(dp13794
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13795
(dp13796
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13797
(dp13798
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt008l_aveiro_2007
p13799
sbNg8
(g9
g10
NtRp13800
(dp13801
g13
Nsg14
Nsg15
Vobsolete
p13802
sbtp13803
a(g8
(g9
g10
NtRp13804
(dp13805
g13
Nsg14
Nsg15
Vbcaa5f2c-1b28-4551-84cc-90c33f407397
p13806
sbNg8
(g9
g10
NtRp13807
(dp13808
g13
Nsg14
Nsg15
VUrban Atlas - Ireland - Cork (Corcaigh)
p13809
sbNNNNNg8
(g9
g10
NtRp13810
(dp13811
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13812
sbg8
(g23
g10
NtRp13813
(dp13814
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13815
sbNg8
(g9
g10
NtRp13816
(dp13817
g13
Nsg14
Nsg15
VFALSE
p13818
sbNNNg8
(g9
g10
NtRp13819
(dp13820
g13
Nsg14
Nsg15
VFALSE
p13821
sbNNg8
(g9
g10
NtRp13822
(dp13823
g13
Nsg14
Nsg15
VFALSE
p13824
sbNNg8
(g9
g10
NtRp13825
(dp13826
g13
Nsg14
Nsg15
VFALSE
p13827
sbNg8
(g9
g10
NtRp13828
(dp13829
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bcaa5f2c-1b28-4551-84cc-90c33f407397.png
p13830
sbNg8
(g9
g10
NtRp13831
(dp13832
g13
Nsg14
Nsg15
V2019-06-04
p13833
sbNNg8
(g9
g10
NtRp13834
(dp13835
g13
Nsg14
Nsg15
Vland use|urban area
p13836
sbg8
(g9
g10
NtRp13837
(dp13838
g13
Nsg14
Nsg15
Vvector
p13839
sbg8
(g9
g10
NtRp13840
(dp13841
g13
Nsg14
Nsg15
VSHP
p13842
sbNg8
(g9
g10
NtRp13843
(dp13844
g13
Nsg14
Nsg15
V1:10000
p13845
sbNg8
(g9
g10
NtRp13846
(dp13847
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50142441002101143302B0 (PS) (Date: 2010/02/10) \u000a                      * Spot 5 2,50 m - 50142441002201151202B8 (PS) (Date: 2010/02/20) \u000a                      * Spot 5 2,50 m - 50142441004121210582B0 (PS) (Date: 2010/04/12) \u000a                      * Spot 5 2,50 m - 50142451002101143382B0 (PS) (Date: 2010/02/10)
p13848
sbg8
(g9
g10
NtRp13849
(dp13850
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bcaa5f2c-1b28-4551-84cc-90c33f407397
p13851
sbNNg8
(g9
g10
NtRp13852
(dp13853
g13
Nsg14
Nsg15
VFALSE
p13854
sbg8
(g9
g10
NtRp13855
(dp13856
g13
Nsg14
Nsg15
VIreland|Land use
p13857
sbg8
(g9
g10
NtRp13858
(dp13859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13860
sbg8
(g9
g10
NtRp13861
(dp13862
g13
Nsg14
Nsg15
VFALSE
p13863
sbNg8
(g9
g10
NtRp13864
(dp13865
g13
Nsg14
Nsg15
VFALSE
p13866
sbNNNNNNNg8
(g9
g10
NtRp13867
(dp13868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13869
(dp13870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13871
(dp13872
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-ie002l_cork_2010
p13873
sbNg8
(g9
g10
NtRp13874
(dp13875
g13
Nsg14
Nsg15
Vobsolete
p13876
sbtp13877
a(g8
(g9
g10
NtRp13878
(dp13879
g13
Nsg14
Nsg15
Vdbf9b4db-de93-4d41-a531-8aa0d6ddafe3
p13880
sbNg8
(g9
g10
NtRp13881
(dp13882
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Stoke-on-Trent
p13883
sbNNNNNg8
(g9
g10
NtRp13884
(dp13885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13886
sbg8
(g23
g10
NtRp13887
(dp13888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13889
sbNg8
(g9
g10
NtRp13890
(dp13891
g13
Nsg14
Nsg15
VFALSE
p13892
sbNNNg8
(g9
g10
NtRp13893
(dp13894
g13
Nsg14
Nsg15
VFALSE
p13895
sbNNg8
(g9
g10
NtRp13896
(dp13897
g13
Nsg14
Nsg15
VFALSE
p13898
sbNNg8
(g9
g10
NtRp13899
(dp13900
g13
Nsg14
Nsg15
VFALSE
p13901
sbNg8
(g9
g10
NtRp13902
(dp13903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/dbf9b4db-de93-4d41-a531-8aa0d6ddafe3.png
p13904
sbNg8
(g9
g10
NtRp13905
(dp13906
g13
Nsg14
Nsg15
V2019-06-04
p13907
sbNNg8
(g9
g10
NtRp13908
(dp13909
g13
Nsg14
Nsg15
Vland use|urban area
p13910
sbg8
(g9
g10
NtRp13911
(dp13912
g13
Nsg14
Nsg15
Vvector
p13913
sbg8
(g9
g10
NtRp13914
(dp13915
g13
Nsg14
Nsg15
VSHP
p13916
sbNg8
(g9
g10
NtRp13917
(dp13918
g13
Nsg14
Nsg15
V1:10000
p13919
sbNg8
(g9
g10
NtRp13920
(dp13921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50622420605041143091B2 (PS) (Date: 2006/05/04)
p13922
sbg8
(g9
g10
NtRp13923
(dp13924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dbf9b4db-de93-4d41-a531-8aa0d6ddafe3
p13925
sbg8
(g9
g10
NtRp13926
(dp13927
g13
Nsg14
g74
sg15
V2006
p13928
sbg8
(g9
g10
NtRp13929
(dp13930
g13
Nsg14
g74
sg15
V2006
p13931
sbg8
(g9
g10
NtRp13932
(dp13933
g13
Nsg14
Nsg15
VFALSE
p13934
sbg8
(g9
g10
NtRp13935
(dp13936
g13
Nsg14
Nsg15
VLand use|Stoke-on-Trent|United Kingdom
p13937
sbg8
(g9
g10
NtRp13938
(dp13939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p13940
sbg8
(g9
g10
NtRp13941
(dp13942
g13
Nsg14
Nsg15
VFALSE
p13943
sbNg8
(g9
g10
NtRp13944
(dp13945
g13
Nsg14
Nsg15
VFALSE
p13946
sbNNNNNNNg8
(g9
g10
NtRp13947
(dp13948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp13949
(dp13950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp13951
(dp13952
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk027l_stoke_on_trent_2006
p13953
sbNg8
(g9
g10
NtRp13954
(dp13955
g13
Nsg14
Nsg15
Vobsolete
p13956
sbtp13957
a(g8
(g9
g10
NtRp13958
(dp13959
g13
Nsg14
Nsg15
V5a092811-7dfe-4a0e-a59d-d6fa30d80443
p13960
sbNg8
(g9
g10
NtRp13961
(dp13962
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Valencia
p13963
sbNNNNNg8
(g9
g10
NtRp13964
(dp13965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p13966
sbg8
(g23
g10
NtRp13967
(dp13968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p13969
sbNg8
(g9
g10
NtRp13970
(dp13971
g13
Nsg14
Nsg15
VFALSE
p13972
sbNNNg8
(g9
g10
NtRp13973
(dp13974
g13
Nsg14
Nsg15
VFALSE
p13975
sbNNg8
(g9
g10
NtRp13976
(dp13977
g13
Nsg14
Nsg15
VFALSE
p13978
sbNNg8
(g9
g10
NtRp13979
(dp13980
g13
Nsg14
Nsg15
VFALSE
p13981
sbNg8
(g9
g10
NtRp13982
(dp13983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a092811-7dfe-4a0e-a59d-d6fa30d80443.png
p13984
sbNg8
(g9
g10
NtRp13985
(dp13986
g13
Nsg14
Nsg15
V2019-06-04
p13987
sbNNg8
(g9
g10
NtRp13988
(dp13989
g13
Nsg14
Nsg15
Vland use|urban area
p13990
sbg8
(g9
g10
NtRp13991
(dp13992
g13
Nsg14
Nsg15
Vvector
p13993
sbg8
(g9
g10
NtRp13994
(dp13995
g13
Nsg14
Nsg15
VSHP
p13996
sbNg8
(g9
g10
NtRp13997
(dp13998
g13
Nsg14
Nsg15
V1:10000
p13999
sbNg8
(g9
g10
NtRp14000
(dp14001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070310_105735_DLR_5986_PREU (XS) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070310_105743_DLR_5986_PREU (XS) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070512_105944_DLR_6905_PREU (XS) (Date: 2007/05/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070310_105735_DLR_5986_PREU (P) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070310_105739_DLR_5986_PREU (P) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070310_105743_DLR_5986_PREU (P) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070512_105944_DLR_6905_PREU (P) (Date: 2007/05/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070512_105948_DLR_6905_PREU (P) (Date: 2007/05/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080629_105613_DLR_12944_PREU (P) (Date: 2008/06/29)
p14002
sbg8
(g9
g10
NtRp14003
(dp14004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a092811-7dfe-4a0e-a59d-d6fa30d80443
p14005
sbg8
(g9
g10
NtRp14006
(dp14007
g13
Nsg14
g74
sg15
V2007
p14008
sbg8
(g9
g10
NtRp14009
(dp14010
g13
Nsg14
g74
sg15
V2008
p14011
sbg8
(g9
g10
NtRp14012
(dp14013
g13
Nsg14
Nsg15
VTRUE
p14014
sbg8
(g9
g10
NtRp14015
(dp14016
g13
Nsg14
Nsg15
VLand use|Spain|Valencia
p14017
sbg8
(g9
g10
NtRp14018
(dp14019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14020
sbg8
(g9
g10
NtRp14021
(dp14022
g13
Nsg14
Nsg15
VFALSE
p14023
sbNg8
(g9
g10
NtRp14024
(dp14025
g13
Nsg14
Nsg15
VFALSE
p14026
sbNNNNNNNg8
(g9
g10
NtRp14027
(dp14028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14029
(dp14030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14031
(dp14032
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es003l_valencia_2007-2008
p14033
sbNg8
(g9
g10
NtRp14034
(dp14035
g13
Nsg14
Nsg15
Vobsolete
p14036
sbtp14037
a(g8
(g9
g10
NtRp14038
(dp14039
g13
Nsg14
Nsg15
V671488b2-0a90-48b2-9e9c-08b2e258dc84
p14040
sbNg8
(g9
g10
NtRp14041
(dp14042
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Lublin
p14043
sbNNNNNg8
(g9
g10
NtRp14044
(dp14045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14046
sbg8
(g23
g10
NtRp14047
(dp14048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14049
sbNg8
(g9
g10
NtRp14050
(dp14051
g13
Nsg14
Nsg15
VFALSE
p14052
sbNNNg8
(g9
g10
NtRp14053
(dp14054
g13
Nsg14
Nsg15
VFALSE
p14055
sbNNg8
(g9
g10
NtRp14056
(dp14057
g13
Nsg14
Nsg15
VFALSE
p14058
sbNNg8
(g9
g10
NtRp14059
(dp14060
g13
Nsg14
Nsg15
VFALSE
p14061
sbNg8
(g9
g10
NtRp14062
(dp14063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/671488b2-0a90-48b2-9e9c-08b2e258dc84.png
p14064
sbNg8
(g9
g10
NtRp14065
(dp14066
g13
Nsg14
Nsg15
V2019-06-04
p14067
sbNNg8
(g9
g10
NtRp14068
(dp14069
g13
Nsg14
Nsg15
Vland use|urban area
p14070
sbg8
(g9
g10
NtRp14071
(dp14072
g13
Nsg14
Nsg15
Vvector
p14073
sbg8
(g9
g10
NtRp14074
(dp14075
g13
Nsg14
Nsg15
VSHP
p14076
sbNg8
(g9
g10
NtRp14077
(dp14078
g13
Nsg14
Nsg15
V1:10000
p14079
sbNg8
(g9
g10
NtRp14080
(dp14081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394011 (PS) (Date: 2005/09/28) \u000a                      * Spot 5 2,50 m - 00186394012 (PS) (Date: 2005/09/28) \u000a                      * Spot 5 2,50 m - 00186394028 (PS) (Date: 2006/07/07) \u000a                      * Spot 5 2,50 m - 00186394029 (PS) (Date: 2006/07/07)
p14082
sbg8
(g9
g10
NtRp14083
(dp14084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/671488b2-0a90-48b2-9e9c-08b2e258dc84
p14085
sbg8
(g9
g10
NtRp14086
(dp14087
g13
Nsg14
g74
sg15
V2005
p14088
sbg8
(g9
g10
NtRp14089
(dp14090
g13
Nsg14
g74
sg15
V2006
p14091
sbg8
(g9
g10
NtRp14092
(dp14093
g13
Nsg14
Nsg15
VTRUE
p14094
sbg8
(g9
g10
NtRp14095
(dp14096
g13
Nsg14
Nsg15
VLand use|Lublin|Poland
p14097
sbg8
(g9
g10
NtRp14098
(dp14099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14100
sbg8
(g9
g10
NtRp14101
(dp14102
g13
Nsg14
Nsg15
VFALSE
p14103
sbNg8
(g9
g10
NtRp14104
(dp14105
g13
Nsg14
Nsg15
VFALSE
p14106
sbNNNNNNNg8
(g9
g10
NtRp14107
(dp14108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14109
(dp14110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14111
(dp14112
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl009l_lublin_2005-2006
p14113
sbNg8
(g9
g10
NtRp14114
(dp14115
g13
Nsg14
Nsg15
Vobsolete
p14116
sbtp14117
a(g8
(g9
g10
NtRp14118
(dp14119
g13
Nsg14
Nsg15
Va66983ee-46fa-4d65-8db2-41162125d77b
p14120
sbNg8
(g9
g10
NtRp14121
(dp14122
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Leeuwarden
p14123
sbNNNNNg8
(g9
g10
NtRp14124
(dp14125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14126
sbg8
(g23
g10
NtRp14127
(dp14128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14129
sbNg8
(g9
g10
NtRp14130
(dp14131
g13
Nsg14
Nsg15
VFALSE
p14132
sbNNNg8
(g9
g10
NtRp14133
(dp14134
g13
Nsg14
Nsg15
VFALSE
p14135
sbNNg8
(g9
g10
NtRp14136
(dp14137
g13
Nsg14
Nsg15
VFALSE
p14138
sbNNg8
(g9
g10
NtRp14139
(dp14140
g13
Nsg14
Nsg15
VFALSE
p14141
sbNg8
(g9
g10
NtRp14142
(dp14143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a66983ee-46fa-4d65-8db2-41162125d77b.png
p14144
sbNg8
(g9
g10
NtRp14145
(dp14146
g13
Nsg14
Nsg15
V2019-06-04
p14147
sbNNg8
(g9
g10
NtRp14148
(dp14149
g13
Nsg14
Nsg15
Vland use|urban area
p14150
sbg8
(g9
g10
NtRp14151
(dp14152
g13
Nsg14
Nsg15
Vvector
p14153
sbg8
(g9
g10
NtRp14154
(dp14155
g13
Nsg14
Nsg15
VSHP
p14156
sbNg8
(g9
g10
NtRp14157
(dp14158
g13
Nsg14
Nsg15
V1:10000
p14159
sbNg8
(g9
g10
NtRp14160
(dp14161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50422420509031116351B0 (PS) (Date: 2005/09/03)
p14162
sbg8
(g9
g10
NtRp14163
(dp14164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a66983ee-46fa-4d65-8db2-41162125d77b
p14165
sbg8
(g9
g10
NtRp14166
(dp14167
g13
Nsg14
g74
sg15
V2005
p14168
sbg8
(g9
g10
NtRp14169
(dp14170
g13
Nsg14
g74
sg15
V2005
p14171
sbg8
(g9
g10
NtRp14172
(dp14173
g13
Nsg14
Nsg15
VFALSE
p14174
sbg8
(g9
g10
NtRp14175
(dp14176
g13
Nsg14
Nsg15
VLand use|Leeuwarden|Netherlands
p14177
sbg8
(g9
g10
NtRp14178
(dp14179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14180
sbg8
(g9
g10
NtRp14181
(dp14182
g13
Nsg14
Nsg15
VFALSE
p14183
sbNg8
(g9
g10
NtRp14184
(dp14185
g13
Nsg14
Nsg15
VFALSE
p14186
sbNNNNNNNg8
(g9
g10
NtRp14187
(dp14188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14189
(dp14190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14191
(dp14192
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-nl015l_leeuwarden_2005
p14193
sbNg8
(g9
g10
NtRp14194
(dp14195
g13
Nsg14
Nsg15
Vobsolete
p14196
sbtp14197
a(g8
(g9
g10
NtRp14198
(dp14199
g13
Nsg14
Nsg15
V32024ae0-41cd-4d12-8320-32075c61f45d
p14200
sbNg8
(g9
g10
NtRp14201
(dp14202
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Tilburg
p14203
sbNNNNNg8
(g9
g10
NtRp14204
(dp14205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14206
sbg8
(g23
g10
NtRp14207
(dp14208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14209
sbNg8
(g9
g10
NtRp14210
(dp14211
g13
Nsg14
Nsg15
VFALSE
p14212
sbNNNg8
(g9
g10
NtRp14213
(dp14214
g13
Nsg14
Nsg15
VFALSE
p14215
sbNNg8
(g9
g10
NtRp14216
(dp14217
g13
Nsg14
Nsg15
VFALSE
p14218
sbNNg8
(g9
g10
NtRp14219
(dp14220
g13
Nsg14
Nsg15
VFALSE
p14221
sbNg8
(g9
g10
NtRp14222
(dp14223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/32024ae0-41cd-4d12-8320-32075c61f45d.png
p14224
sbNg8
(g9
g10
NtRp14225
(dp14226
g13
Nsg14
Nsg15
V2019-06-04
p14227
sbNNg8
(g9
g10
NtRp14228
(dp14229
g13
Nsg14
Nsg15
Vland use|urban area
p14230
sbg8
(g9
g10
NtRp14231
(dp14232
g13
Nsg14
Nsg15
Vvector
p14233
sbg8
(g9
g10
NtRp14234
(dp14235
g13
Nsg14
Nsg15
VSHP
p14236
sbNg8
(g9
g10
NtRp14237
(dp14238
g13
Nsg14
Nsg15
V1:10000
p14239
sbNg8
(g9
g10
NtRp14240
(dp14241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157030 (PS) (Date: 2006/05/08)
p14242
sbg8
(g9
g10
NtRp14243
(dp14244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32024ae0-41cd-4d12-8320-32075c61f45d
p14245
sbg8
(g9
g10
NtRp14246
(dp14247
g13
Nsg14
g74
sg15
V2006
p14248
sbg8
(g9
g10
NtRp14249
(dp14250
g13
Nsg14
g74
sg15
V2006
p14251
sbg8
(g9
g10
NtRp14252
(dp14253
g13
Nsg14
Nsg15
VFALSE
p14254
sbg8
(g9
g10
NtRp14255
(dp14256
g13
Nsg14
Nsg15
VLand use|Netherlands|Tilburg
p14257
sbg8
(g9
g10
NtRp14258
(dp14259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14260
sbg8
(g9
g10
NtRp14261
(dp14262
g13
Nsg14
Nsg15
VFALSE
p14263
sbNg8
(g9
g10
NtRp14264
(dp14265
g13
Nsg14
Nsg15
VFALSE
p14266
sbNNNNNNNg8
(g9
g10
NtRp14267
(dp14268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14269
(dp14270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14271
(dp14272
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl006l_tilburg_2006
p14273
sbNg8
(g9
g10
NtRp14274
(dp14275
g13
Nsg14
Nsg15
Vobsolete
p14276
sbtp14277
a(g8
(g9
g10
NtRp14278
(dp14279
g13
Nsg14
Nsg15
Vf19b83ec-488e-412c-9d59-9f7c6e1de361
p14280
sbNg8
(g9
g10
NtRp14281
(dp14282
g13
Nsg14
Nsg15
VUrban Atlas - France - Toulon
p14283
sbNNNNNg8
(g9
g10
NtRp14284
(dp14285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14286
sbg8
(g23
g10
NtRp14287
(dp14288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14289
sbNg8
(g9
g10
NtRp14290
(dp14291
g13
Nsg14
Nsg15
VFALSE
p14292
sbNNNg8
(g9
g10
NtRp14293
(dp14294
g13
Nsg14
Nsg15
VFALSE
p14295
sbNNg8
(g9
g10
NtRp14296
(dp14297
g13
Nsg14
Nsg15
VFALSE
p14298
sbNNg8
(g9
g10
NtRp14299
(dp14300
g13
Nsg14
Nsg15
VFALSE
p14301
sbNg8
(g9
g10
NtRp14302
(dp14303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f19b83ec-488e-412c-9d59-9f7c6e1de361.png
p14304
sbNg8
(g9
g10
NtRp14305
(dp14306
g13
Nsg14
Nsg15
V2019-06-04
p14307
sbNNg8
(g9
g10
NtRp14308
(dp14309
g13
Nsg14
Nsg15
Vland use|urban area
p14310
sbg8
(g9
g10
NtRp14311
(dp14312
g13
Nsg14
Nsg15
Vvector
p14313
sbg8
(g9
g10
NtRp14314
(dp14315
g13
Nsg14
Nsg15
VSHP
p14316
sbNg8
(g9
g10
NtRp14317
(dp14318
g13
Nsg14
Nsg15
V1:10000
p14319
sbNg8
(g9
g10
NtRp14320
(dp14321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070315_110240_DLR_6059_PREU (XS) (Date: 2007/03/15) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080326_103259_DLR_11558_PREU (XS) (Date: 2008/03/26) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070809_103503_DLR_8203_PREU (P) (Date: 2007/08/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070826_103708_DLR_8451_PREU (P) (Date: 2007/08/26) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080326_103303_DLR_11558_PREU (P) (Date: 2008/03/26)
p14322
sbg8
(g9
g10
NtRp14323
(dp14324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f19b83ec-488e-412c-9d59-9f7c6e1de361
p14325
sbg8
(g9
g10
NtRp14326
(dp14327
g13
Nsg14
g74
sg15
V2007
p14328
sbg8
(g9
g10
NtRp14329
(dp14330
g13
Nsg14
g74
sg15
V2008
p14331
sbg8
(g9
g10
NtRp14332
(dp14333
g13
Nsg14
Nsg15
VTRUE
p14334
sbg8
(g9
g10
NtRp14335
(dp14336
g13
Nsg14
Nsg15
VFrance|Land use|Toulon
p14337
sbg8
(g9
g10
NtRp14338
(dp14339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14340
sbg8
(g9
g10
NtRp14341
(dp14342
g13
Nsg14
Nsg15
VFALSE
p14343
sbNg8
(g9
g10
NtRp14344
(dp14345
g13
Nsg14
Nsg15
VFALSE
p14346
sbNNNNNNNg8
(g9
g10
NtRp14347
(dp14348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14349
(dp14350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14351
(dp14352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-fr032l_toulon_2007-2008
p14353
sbNg8
(g9
g10
NtRp14354
(dp14355
g13
Nsg14
Nsg15
Vobsolete
p14356
sbtp14357
a(g8
(g9
g10
NtRp14358
(dp14359
g13
Nsg14
Nsg15
V147e2d2f-4f15-467e-bcfa-c66d265eb5ec
p14360
sbNg8
(g9
g10
NtRp14361
(dp14362
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Trier
p14363
sbNNNNNg8
(g9
g10
NtRp14364
(dp14365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14366
sbg8
(g23
g10
NtRp14367
(dp14368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14369
sbNg8
(g9
g10
NtRp14370
(dp14371
g13
Nsg14
Nsg15
VFALSE
p14372
sbNNNg8
(g9
g10
NtRp14373
(dp14374
g13
Nsg14
Nsg15
VFALSE
p14375
sbNNg8
(g9
g10
NtRp14376
(dp14377
g13
Nsg14
Nsg15
VFALSE
p14378
sbNNg8
(g9
g10
NtRp14379
(dp14380
g13
Nsg14
Nsg15
VFALSE
p14381
sbNg8
(g9
g10
NtRp14382
(dp14383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/147e2d2f-4f15-467e-bcfa-c66d265eb5ec.png
p14384
sbNg8
(g9
g10
NtRp14385
(dp14386
g13
Nsg14
Nsg15
V2019-06-04
p14387
sbNNg8
(g9
g10
NtRp14388
(dp14389
g13
Nsg14
Nsg15
Vland use|urban area
p14390
sbg8
(g9
g10
NtRp14391
(dp14392
g13
Nsg14
Nsg15
Vvector
p14393
sbg8
(g9
g10
NtRp14394
(dp14395
g13
Nsg14
Nsg15
VSHP
p14396
sbNg8
(g9
g10
NtRp14397
(dp14398
g13
Nsg14
Nsg15
V1:10000
p14399
sbNg8
(g9
g10
NtRp14400
(dp14401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538002 (PS) (Date: 2005/05/28) \u000a                      * Spot 5 2,50 m - 00183756066 (PS) (Date: 2008/05/05)
p14402
sbg8
(g9
g10
NtRp14403
(dp14404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/147e2d2f-4f15-467e-bcfa-c66d265eb5ec
p14405
sbg8
(g9
g10
NtRp14406
(dp14407
g13
Nsg14
g74
sg15
V2005
p14408
sbg8
(g9
g10
NtRp14409
(dp14410
g13
Nsg14
g74
sg15
V2008
p14411
sbg8
(g9
g10
NtRp14412
(dp14413
g13
Nsg14
Nsg15
VTRUE
p14414
sbg8
(g9
g10
NtRp14415
(dp14416
g13
Nsg14
Nsg15
VGermany|Land use|Trier
p14417
sbg8
(g9
g10
NtRp14418
(dp14419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14420
sbg8
(g9
g10
NtRp14421
(dp14422
g13
Nsg14
Nsg15
VFALSE
p14423
sbNg8
(g9
g10
NtRp14424
(dp14425
g13
Nsg14
Nsg15
VFALSE
p14426
sbNNNNNNNg8
(g9
g10
NtRp14427
(dp14428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14429
(dp14430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14431
(dp14432
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de026l_trier_2005-2008
p14433
sbNg8
(g9
g10
NtRp14434
(dp14435
g13
Nsg14
Nsg15
Vobsolete
p14436
sbtp14437
a(g8
(g9
g10
NtRp14438
(dp14439
g13
Nsg14
Nsg15
Vf6dce118-ab34-4d42-b80f-cc2d4f633c4b
p14440
sbNg8
(g9
g10
NtRp14441
(dp14442
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Burgas (\u0411\u0443\u0440\u0433\u0430\u0441)
p14443
sbNNNNNg8
(g9
g10
NtRp14444
(dp14445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14446
sbg8
(g23
g10
NtRp14447
(dp14448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14449
sbNg8
(g9
g10
NtRp14450
(dp14451
g13
Nsg14
Nsg15
VFALSE
p14452
sbNNNg8
(g9
g10
NtRp14453
(dp14454
g13
Nsg14
Nsg15
VFALSE
p14455
sbNNg8
(g9
g10
NtRp14456
(dp14457
g13
Nsg14
Nsg15
VFALSE
p14458
sbNNg8
(g9
g10
NtRp14459
(dp14460
g13
Nsg14
Nsg15
VFALSE
p14461
sbNg8
(g9
g10
NtRp14462
(dp14463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f6dce118-ab34-4d42-b80f-cc2d4f633c4b.png
p14464
sbNg8
(g9
g10
NtRp14465
(dp14466
g13
Nsg14
Nsg15
V2019-06-04
p14467
sbNNg8
(g9
g10
NtRp14468
(dp14469
g13
Nsg14
Nsg15
Vland use|urban area
p14470
sbg8
(g9
g10
NtRp14471
(dp14472
g13
Nsg14
Nsg15
Vvector
p14473
sbg8
(g9
g10
NtRp14474
(dp14475
g13
Nsg14
Nsg15
VSHP
p14476
sbNg8
(g9
g10
NtRp14477
(dp14478
g13
Nsg14
Nsg15
V1:10000
p14479
sbNg8
(g9
g10
NtRp14480
(dp14481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50962640705160912332B0 (PS) (Date: 2007/05/16) \u000a                      * Spot 5 2,50 m - 50962650705160912422B0 (PS) (Date: 2007/05/16) \u000a                      * Spot 5 2,50 m - 50972650607240906482B0 (PS) (Date: 2006/07/24)
p14482
sbg8
(g9
g10
NtRp14483
(dp14484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f6dce118-ab34-4d42-b80f-cc2d4f633c4b
p14485
sbg8
(g9
g10
NtRp14486
(dp14487
g13
Nsg14
g74
sg15
V2006
p14488
sbg8
(g9
g10
NtRp14489
(dp14490
g13
Nsg14
g74
sg15
V2007
p14491
sbg8
(g9
g10
NtRp14492
(dp14493
g13
Nsg14
Nsg15
VTRUE
p14494
sbg8
(g9
g10
NtRp14495
(dp14496
g13
Nsg14
Nsg15
VBulgaria|Burgas|Land use
p14497
sbg8
(g9
g10
NtRp14498
(dp14499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14500
sbg8
(g9
g10
NtRp14501
(dp14502
g13
Nsg14
Nsg15
VFALSE
p14503
sbNg8
(g9
g10
NtRp14504
(dp14505
g13
Nsg14
Nsg15
VFALSE
p14506
sbNNNNNNNg8
(g9
g10
NtRp14507
(dp14508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14509
(dp14510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14511
(dp14512
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg004l_burgas_2006-2007
p14513
sbNg8
(g9
g10
NtRp14514
(dp14515
g13
Nsg14
Nsg15
Vobsolete
p14516
sbtp14517
a(g8
(g9
g10
NtRp14518
(dp14519
g13
Nsg14
Nsg15
Vfa567cec-87c4-478c-9db6-99ca8e48a518
p14520
sbNg8
(g9
g10
NtRp14521
(dp14522
g13
Nsg14
Nsg15
VUrban Atlas - France - Bordeaux
p14523
sbNNNNNg8
(g9
g10
NtRp14524
(dp14525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14526
sbg8
(g23
g10
NtRp14527
(dp14528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14529
sbNg8
(g9
g10
NtRp14530
(dp14531
g13
Nsg14
Nsg15
VFALSE
p14532
sbNNNg8
(g9
g10
NtRp14533
(dp14534
g13
Nsg14
Nsg15
VFALSE
p14535
sbNNg8
(g9
g10
NtRp14536
(dp14537
g13
Nsg14
Nsg15
VFALSE
p14538
sbNNg8
(g9
g10
NtRp14539
(dp14540
g13
Nsg14
Nsg15
VFALSE
p14541
sbNg8
(g9
g10
NtRp14542
(dp14543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa567cec-87c4-478c-9db6-99ca8e48a518.png
p14544
sbNg8
(g9
g10
NtRp14545
(dp14546
g13
Nsg14
Nsg15
V2019-06-04
p14547
sbNNg8
(g9
g10
NtRp14548
(dp14549
g13
Nsg14
Nsg15
Vland use|urban area
p14550
sbg8
(g9
g10
NtRp14551
(dp14552
g13
Nsg14
Nsg15
Vvector
p14553
sbg8
(g9
g10
NtRp14554
(dp14555
g13
Nsg14
Nsg15
VSHP
p14556
sbNg8
(g9
g10
NtRp14557
(dp14558
g13
Nsg14
Nsg15
V1:10000
p14559
sbNg8
(g9
g10
NtRp14560
(dp14561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50372600507201045092B0 (PS) (Date: 2005/07/20) \u000a                      * Spot 5 2,50 m - 00185797001 (P) (Date: 2004/03/06) \u000a                      * Spot 5 2,50 m - 00185797002 (P) (Date: 2005/09/03) \u000a                      * Spot 5 2,50 m - 00185797003 (P) (Date: 2006/06/06) \u000a                      * Spot 5 10 m - 00185797004 (XS) (Date: 2004/03/06) \u000a                      * Spot 5 10 m - 00185797005 (XS) (Date: 2005/09/03) \u000a                      * Spot 5 10 m - 00185797006 (XS) (Date: 2006/06/06) \u000a                      * ALOS 2,50 m - Ortho_PAN_217560226_20050610 (P) (Date: 2005/06/10) \u000a                      * ALOS 2,50 m - Ortho_PAN_217560227_20050610 (P) (Date: 2005/06/10) \u000a                      * ALOS 2,50 m - Ortho_PAN_217560228_20050610 (P) (Date: 2005/06/10) \u000a                      * ALOS 2,50 m - Ortho_PAN_217570226_20060721 (P) (Date: 2006/07/21) \u000a                      * ALOS 2,50 m - Ortho_PAN_217570227_20060721 (P) (Date: 2006/07/21) \u000a                      * ALOS 2,50 m - Ortho_PAN_217570228_20060721 (P) (Date: 2006/07/21) \u000a                      * ALOS 2,50 m - Ortho_PAN_217570229_20060721 (P) (Date: 2006/07/21) \u000a                      * ALOS 2,50 m - Ortho_PAN_217580225_20060809 (P) (Date: 2006/08/09) \u000a                      * ALOS 2,50 m - Ortho_PAN_217580226_20060809 (P) (Date: 2006/08/09) \u000a                      * ALOS 2,50 m - Ortho_PAN_217580227_20060809 (P) (Date: 2006/08/09) \u000a                      * ALOS 2,50 m - Ortho_PAN_217580228_20060809 (P) (Date: 2006/08/09) \u000a                      * ALOS 10 m - Ortho_MS_217560226_20050610 (XS) (Date: 2005/06/10) \u000a                      * ALOS 10 m - Ortho_MS_217560227_20050610 (XS) (Date: 2005/06/10) \u000a                      * ALOS 10 m - Ortho_MS_217560228_20050610 (XS) (Date: 2005/06/10) \u000a                      * ALOS 10 m - Ortho_MS_217570226_20060721 (XS) (Date: 2006/07/21) \u000a                      * ALOS 10 m - Ortho_MS_217570227_20060721 (XS) (Date: 2006/07/21) \u000a                      * ALOS 10 m - Ortho_MS_217570228_20060721 (XS) (Date: 2006/07/21) \u000a                      * ALOS 10 m - Ortho_MS_217570229_20060721 (XS) (Date: 2006/07/21) \u000a                      * ALOS 10 m - Ortho_MS_217580225_20060809 (XS) (Date: 2006/08/09) \u000a                      * ALOS 10 m - Ortho_MS_217580226_20060809 (XS) (Date: 2006/08/09) \u000a                      * ALOS 10 m - Ortho_MS_217580227_20060809 (XS) (Date: 2006/08/09) \u000a                      * ALOS 10 m - Ortho_MS_217580228_20060809 (XS) (Date: 2006/08/09)
p14562
sbg8
(g9
g10
NtRp14563
(dp14564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa567cec-87c4-478c-9db6-99ca8e48a518
p14565
sbg8
(g9
g10
NtRp14566
(dp14567
g13
Nsg14
g74
sg15
V2004
p14568
sbg8
(g9
g10
NtRp14569
(dp14570
g13
Nsg14
g74
sg15
V2006
p14571
sbg8
(g9
g10
NtRp14572
(dp14573
g13
Nsg14
Nsg15
VTRUE
p14574
sbg8
(g9
g10
NtRp14575
(dp14576
g13
Nsg14
Nsg15
VBordeaux|France|Land use
p14577
sbg8
(g9
g10
NtRp14578
(dp14579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14580
sbg8
(g9
g10
NtRp14581
(dp14582
g13
Nsg14
Nsg15
VFALSE
p14583
sbNg8
(g9
g10
NtRp14584
(dp14585
g13
Nsg14
Nsg15
VFALSE
p14586
sbNNNNNNNg8
(g9
g10
NtRp14587
(dp14588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14589
(dp14590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14591
(dp14592
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-fr007l_bordeaux_2004-2006
p14593
sbNg8
(g9
g10
NtRp14594
(dp14595
g13
Nsg14
Nsg15
Vobsolete
p14596
sbtp14597
a(g8
(g9
g10
NtRp14598
(dp14599
g13
Nsg14
Nsg15
Vc84d8691-78b2-455a-997f-0c09437fc9fc
p14600
sbNg8
(g9
g10
NtRp14601
(dp14602
g13
Nsg14
Nsg15
VUrban Atlas - France - Grenoble
p14603
sbNNNNNg8
(g9
g10
NtRp14604
(dp14605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14606
sbg8
(g23
g10
NtRp14607
(dp14608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14609
sbNg8
(g9
g10
NtRp14610
(dp14611
g13
Nsg14
Nsg15
VFALSE
p14612
sbNNNg8
(g9
g10
NtRp14613
(dp14614
g13
Nsg14
Nsg15
VFALSE
p14615
sbNNg8
(g9
g10
NtRp14616
(dp14617
g13
Nsg14
Nsg15
VFALSE
p14618
sbNNg8
(g9
g10
NtRp14619
(dp14620
g13
Nsg14
Nsg15
VFALSE
p14621
sbNg8
(g9
g10
NtRp14622
(dp14623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c84d8691-78b2-455a-997f-0c09437fc9fc.png
p14624
sbNg8
(g9
g10
NtRp14625
(dp14626
g13
Nsg14
Nsg15
V2019-06-04
p14627
sbNNg8
(g9
g10
NtRp14628
(dp14629
g13
Nsg14
Nsg15
Vland use|urban area
p14630
sbg8
(g9
g10
NtRp14631
(dp14632
g13
Nsg14
Nsg15
Vvector
p14633
sbg8
(g9
g10
NtRp14634
(dp14635
g13
Nsg14
Nsg15
VSHP
p14636
sbNg8
(g9
g10
NtRp14637
(dp14638
g13
Nsg14
Nsg15
V1:10000
p14639
sbNg8
(g9
g10
NtRp14640
(dp14641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157011 (PS) (Date: 2005/08/31) \u000a                      * Spot 5 2,50 m - 00187157027 (PS) (Date: 2005/10/28) \u000a                      * Spot 5 2,50 m - 00187157028 (PS) (Date: 2005/10/28) \u000a                      * Spot 5 2,50 m - 00187157039 (PS) (Date: 2007/09/13)
p14642
sbg8
(g9
g10
NtRp14643
(dp14644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c84d8691-78b2-455a-997f-0c09437fc9fc
p14645
sbg8
(g9
g10
NtRp14646
(dp14647
g13
Nsg14
g74
sg15
V2005
p14648
sbg8
(g9
g10
NtRp14649
(dp14650
g13
Nsg14
g74
sg15
V2007
p14651
sbg8
(g9
g10
NtRp14652
(dp14653
g13
Nsg14
Nsg15
VTRUE
p14654
sbg8
(g9
g10
NtRp14655
(dp14656
g13
Nsg14
Nsg15
VFrance|Grenoble|Land use
p14657
sbg8
(g9
g10
NtRp14658
(dp14659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14660
sbg8
(g9
g10
NtRp14661
(dp14662
g13
Nsg14
Nsg15
VFALSE
p14663
sbNg8
(g9
g10
NtRp14664
(dp14665
g13
Nsg14
Nsg15
VFALSE
p14666
sbNNNNNNNg8
(g9
g10
NtRp14667
(dp14668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14669
(dp14670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14671
(dp14672
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr026l_grenoble_2005-2007
p14673
sbNg8
(g9
g10
NtRp14674
(dp14675
g13
Nsg14
Nsg15
Vobsolete
p14676
sbtp14677
a(g8
(g9
g10
NtRp14678
(dp14679
g13
Nsg14
Nsg15
V43ef20b4-06e5-4fb7-9551-6622219cd82c
p14680
sbNg8
(g9
g10
NtRp14681
(dp14682
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Naples (Napoli)
p14683
sbNNNNNg8
(g9
g10
NtRp14684
(dp14685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14686
sbg8
(g23
g10
NtRp14687
(dp14688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14689
sbNg8
(g9
g10
NtRp14690
(dp14691
g13
Nsg14
Nsg15
VFALSE
p14692
sbNNNg8
(g9
g10
NtRp14693
(dp14694
g13
Nsg14
Nsg15
VFALSE
p14695
sbNNg8
(g9
g10
NtRp14696
(dp14697
g13
Nsg14
Nsg15
VFALSE
p14698
sbNNg8
(g9
g10
NtRp14699
(dp14700
g13
Nsg14
Nsg15
VFALSE
p14701
sbNg8
(g9
g10
NtRp14702
(dp14703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/43ef20b4-06e5-4fb7-9551-6622219cd82c.png
p14704
sbNg8
(g9
g10
NtRp14705
(dp14706
g13
Nsg14
Nsg15
V2019-06-04
p14707
sbNNg8
(g9
g10
NtRp14708
(dp14709
g13
Nsg14
Nsg15
Vland use|urban area
p14710
sbg8
(g9
g10
NtRp14711
(dp14712
g13
Nsg14
Nsg15
Vvector
p14713
sbg8
(g9
g10
NtRp14714
(dp14715
g13
Nsg14
Nsg15
VSHP
p14716
sbNg8
(g9
g10
NtRp14717
(dp14718
g13
Nsg14
Nsg15
V1:10000
p14719
sbNg8
(g9
g10
NtRp14720
(dp14721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538007 (PS) (Date: 2005/07/16)
p14722
sbg8
(g9
g10
NtRp14723
(dp14724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43ef20b4-06e5-4fb7-9551-6622219cd82c
p14725
sbg8
(g9
g10
NtRp14726
(dp14727
g13
Nsg14
g74
sg15
V2005
p14728
sbg8
(g9
g10
NtRp14729
(dp14730
g13
Nsg14
g74
sg15
V2005
p14731
sbg8
(g9
g10
NtRp14732
(dp14733
g13
Nsg14
Nsg15
VFALSE
p14734
sbg8
(g9
g10
NtRp14735
(dp14736
g13
Nsg14
Nsg15
VItaly|Land use|Naples
p14737
sbg8
(g9
g10
NtRp14738
(dp14739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14740
sbg8
(g9
g10
NtRp14741
(dp14742
g13
Nsg14
Nsg15
VFALSE
p14743
sbNg8
(g9
g10
NtRp14744
(dp14745
g13
Nsg14
Nsg15
VFALSE
p14746
sbNNNNNNNg8
(g9
g10
NtRp14747
(dp14748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14749
(dp14750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14751
(dp14752
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it003l_napoli_2005
p14753
sbNg8
(g9
g10
NtRp14754
(dp14755
g13
Nsg14
Nsg15
Vobsolete
p14756
sbtp14757
a(g8
(g9
g10
NtRp14758
(dp14759
g13
Nsg14
Nsg15
Vff9ada27-5980-4a3b-b042-b3b8e327b06f
p14760
sbNg8
(g9
g10
NtRp14761
(dp14762
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Nitra
p14763
sbNNNNNg8
(g9
g10
NtRp14764
(dp14765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14766
sbg8
(g23
g10
NtRp14767
(dp14768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14769
sbNg8
(g9
g10
NtRp14770
(dp14771
g13
Nsg14
Nsg15
VFALSE
p14772
sbNNNg8
(g9
g10
NtRp14773
(dp14774
g13
Nsg14
Nsg15
VFALSE
p14775
sbNNg8
(g9
g10
NtRp14776
(dp14777
g13
Nsg14
Nsg15
VFALSE
p14778
sbNNg8
(g9
g10
NtRp14779
(dp14780
g13
Nsg14
Nsg15
VFALSE
p14781
sbNg8
(g9
g10
NtRp14782
(dp14783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff9ada27-5980-4a3b-b042-b3b8e327b06f.png
p14784
sbNg8
(g9
g10
NtRp14785
(dp14786
g13
Nsg14
Nsg15
V2019-06-04
p14787
sbNNg8
(g9
g10
NtRp14788
(dp14789
g13
Nsg14
Nsg15
Vland use|urban area
p14790
sbg8
(g9
g10
NtRp14791
(dp14792
g13
Nsg14
Nsg15
Vvector
p14793
sbg8
(g9
g10
NtRp14794
(dp14795
g13
Nsg14
Nsg15
VSHP
p14796
sbNg8
(g9
g10
NtRp14797
(dp14798
g13
Nsg14
Nsg15
V1:10000
p14799
sbNg8
(g9
g10
NtRp14800
(dp14801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157033 (PS) (Date: 2006/07/17)
p14802
sbg8
(g9
g10
NtRp14803
(dp14804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff9ada27-5980-4a3b-b042-b3b8e327b06f
p14805
sbg8
(g9
g10
NtRp14806
(dp14807
g13
Nsg14
g74
sg15
V2006
p14808
sbg8
(g9
g10
NtRp14809
(dp14810
g13
Nsg14
g74
sg15
V2006
p14811
sbg8
(g9
g10
NtRp14812
(dp14813
g13
Nsg14
Nsg15
VFALSE
p14814
sbg8
(g9
g10
NtRp14815
(dp14816
g13
Nsg14
Nsg15
VLand use|Nitra|Slovakia
p14817
sbg8
(g9
g10
NtRp14818
(dp14819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14820
sbg8
(g9
g10
NtRp14821
(dp14822
g13
Nsg14
Nsg15
VFALSE
p14823
sbNg8
(g9
g10
NtRp14824
(dp14825
g13
Nsg14
Nsg15
VFALSE
p14826
sbNNNNNNNg8
(g9
g10
NtRp14827
(dp14828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14829
(dp14830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14831
(dp14832
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk004l_nitra_2006
p14833
sbNg8
(g9
g10
NtRp14834
(dp14835
g13
Nsg14
Nsg15
Vobsolete
p14836
sbtp14837
a(g8
(g9
g10
NtRp14838
(dp14839
g13
Nsg14
Nsg15
Vaea3b249-ecc0-4eae-bc18-7e897fbee680
p14840
sbNg8
(g9
g10
NtRp14841
(dp14842
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Wolverhampton
p14843
sbNNNNNg8
(g9
g10
NtRp14844
(dp14845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14846
sbg8
(g23
g10
NtRp14847
(dp14848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14849
sbNg8
(g9
g10
NtRp14850
(dp14851
g13
Nsg14
Nsg15
VFALSE
p14852
sbNNNg8
(g9
g10
NtRp14853
(dp14854
g13
Nsg14
Nsg15
VFALSE
p14855
sbNNg8
(g9
g10
NtRp14856
(dp14857
g13
Nsg14
Nsg15
VFALSE
p14858
sbNNg8
(g9
g10
NtRp14859
(dp14860
g13
Nsg14
Nsg15
VFALSE
p14861
sbNg8
(g9
g10
NtRp14862
(dp14863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/aea3b249-ecc0-4eae-bc18-7e897fbee680.png
p14864
sbNg8
(g9
g10
NtRp14865
(dp14866
g13
Nsg14
Nsg15
V2019-06-04
p14867
sbNNg8
(g9
g10
NtRp14868
(dp14869
g13
Nsg14
Nsg15
Vland use|urban area
p14870
sbg8
(g9
g10
NtRp14871
(dp14872
g13
Nsg14
Nsg15
Vvector
p14873
sbg8
(g9
g10
NtRp14874
(dp14875
g13
Nsg14
Nsg15
VSHP
p14876
sbNg8
(g9
g10
NtRp14877
(dp14878
g13
Nsg14
Nsg15
V1:10000
p14879
sbNg8
(g9
g10
NtRp14880
(dp14881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50262430611031124151B2 (PS) (Date: 2006/11/03)
p14882
sbg8
(g9
g10
NtRp14883
(dp14884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aea3b249-ecc0-4eae-bc18-7e897fbee680
p14885
sbg8
(g9
g10
NtRp14886
(dp14887
g13
Nsg14
g74
sg15
V2006
p14888
sbg8
(g9
g10
NtRp14889
(dp14890
g13
Nsg14
g74
sg15
V2006
p14891
sbg8
(g9
g10
NtRp14892
(dp14893
g13
Nsg14
Nsg15
VFALSE
p14894
sbg8
(g9
g10
NtRp14895
(dp14896
g13
Nsg14
Nsg15
VLand use|United Kingdom|Wolverhampton
p14897
sbg8
(g9
g10
NtRp14898
(dp14899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14900
sbg8
(g9
g10
NtRp14901
(dp14902
g13
Nsg14
Nsg15
VFALSE
p14903
sbNg8
(g9
g10
NtRp14904
(dp14905
g13
Nsg14
Nsg15
VFALSE
p14906
sbNNNNNNNg8
(g9
g10
NtRp14907
(dp14908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14909
(dp14910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14911
(dp14912
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk028l_wolverhampton_2006
p14913
sbNg8
(g9
g10
NtRp14914
(dp14915
g13
Nsg14
Nsg15
Vobsolete
p14916
sbtp14917
a(g8
(g9
g10
NtRp14918
(dp14919
g13
Nsg14
Nsg15
V53e2fb6d-4101-4392-8744-bc7ada91ec97
p14920
sbNg8
(g9
g10
NtRp14921
(dp14922
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Gijón
p14923
sbNNNNNg8
(g9
g10
NtRp14924
(dp14925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p14926
sbg8
(g23
g10
NtRp14927
(dp14928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p14929
sbNg8
(g9
g10
NtRp14930
(dp14931
g13
Nsg14
Nsg15
VFALSE
p14932
sbNNNg8
(g9
g10
NtRp14933
(dp14934
g13
Nsg14
Nsg15
VFALSE
p14935
sbNNg8
(g9
g10
NtRp14936
(dp14937
g13
Nsg14
Nsg15
VFALSE
p14938
sbNNg8
(g9
g10
NtRp14939
(dp14940
g13
Nsg14
Nsg15
VFALSE
p14941
sbNg8
(g9
g10
NtRp14942
(dp14943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53e2fb6d-4101-4392-8744-bc7ada91ec97.png
p14944
sbNg8
(g9
g10
NtRp14945
(dp14946
g13
Nsg14
Nsg15
V2019-06-04
p14947
sbNNg8
(g9
g10
NtRp14948
(dp14949
g13
Nsg14
Nsg15
Vland use|urban area
p14950
sbg8
(g9
g10
NtRp14951
(dp14952
g13
Nsg14
Nsg15
Vvector
p14953
sbg8
(g9
g10
NtRp14954
(dp14955
g13
Nsg14
Nsg15
VSHP
p14956
sbNg8
(g9
g10
NtRp14957
(dp14958
g13
Nsg14
Nsg15
V1:10000
p14959
sbNg8
(g9
g10
NtRp14960
(dp14961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186393005 (PS) (Date: 2006/10/14) \u000a                      * Spot 5 2,50 m - 00186393010 (PS) (Date: 2008/07/09)
p14962
sbg8
(g9
g10
NtRp14963
(dp14964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53e2fb6d-4101-4392-8744-bc7ada91ec97
p14965
sbg8
(g9
g10
NtRp14966
(dp14967
g13
Nsg14
g74
sg15
V2006
p14968
sbg8
(g9
g10
NtRp14969
(dp14970
g13
Nsg14
g74
sg15
V2008
p14971
sbg8
(g9
g10
NtRp14972
(dp14973
g13
Nsg14
Nsg15
VTRUE
p14974
sbg8
(g9
g10
NtRp14975
(dp14976
g13
Nsg14
Nsg15
VGijón|Land use|Spain
p14977
sbg8
(g9
g10
NtRp14978
(dp14979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p14980
sbg8
(g9
g10
NtRp14981
(dp14982
g13
Nsg14
Nsg15
VFALSE
p14983
sbNg8
(g9
g10
NtRp14984
(dp14985
g13
Nsg14
Nsg15
VFALSE
p14986
sbNNNNNNNg8
(g9
g10
NtRp14987
(dp14988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp14989
(dp14990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp14991
(dp14992
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es023l_gijon_2006-2008
p14993
sbNg8
(g9
g10
NtRp14994
(dp14995
g13
Nsg14
Nsg15
Vobsolete
p14996
sbtp14997
a(g8
(g9
g10
NtRp14998
(dp14999
g13
Nsg14
Nsg15
V650c3735-28c7-43bb-b521-3952ce4d6246
p15000
sbNg8
(g9
g10
NtRp15001
(dp15002
g13
Nsg14
Nsg15
VUrban Atlas 2006 - series
p15003
sbNNNNNg8
(g9
g10
NtRp15004
(dp15005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15006
sbg8
(g23
g10
NtRp15007
(dp15008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15009
sbNg8
(g9
g10
NtRp15010
(dp15011
g13
Nsg14
Nsg15
VFALSE
p15012
sbNNNg8
(g9
g10
NtRp15013
(dp15014
g13
Nsg14
Nsg15
VFALSE
p15015
sbNNg8
(g9
g10
NtRp15016
(dp15017
g13
Nsg14
Nsg15
VFALSE
p15018
sbNNg8
(g9
g10
NtRp15019
(dp15020
g13
Nsg14
Nsg15
VFALSE
p15021
sbNg8
(g9
g10
NtRp15022
(dp15023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/650c3735-28c7-43bb-b521-3952ce4d6246.png
p15024
sbNg8
(g9
g10
NtRp15025
(dp15026
g13
Nsg14
Nsg15
V2019-06-04
p15027
sbNNg8
(g9
g10
NtRp15028
(dp15029
g13
Nsg14
Nsg15
Vland use|urban area
p15030
sbg8
(g9
g10
NtRp15031
(dp15032
g13
Nsg14
Nsg15
Vvector
p15033
sbg8
(g9
g10
NtRp15034
(dp15035
g13
Nsg14
Nsg15
VSHP
p15036
sbNg8
(g9
g10
NtRp15037
(dp15038
g13
Nsg14
Nsg15
V1:10000
p15039
sbNg8
(g9
g10
NtRp15040
(dp15041
g13
Nsg14
Nsg15
VUrban Atlas contains information derived mainly from Earth Observation (EO) data with support by other\u000areference data, such as COTS navigation data and topographic maps.
p15042
sbg8
(g9
g10
NtRp15043
(dp15044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/650c3735-28c7-43bb-b521-3952ce4d6246
p15045
sbg8
(g9
g10
NtRp15046
(dp15047
g13
Nsg14
g74
sg15
V2004
p15048
sbg8
(g9
g10
NtRp15049
(dp15050
g13
Nsg14
g74
sg15
V2010
p15051
sbg8
(g9
g10
NtRp15052
(dp15053
g13
Nsg14
Nsg15
VTRUE
p15054
sbg8
(g9
g10
NtRp15055
(dp15056
g13
Nsg14
Nsg15
VLand use
p15057
sbg8
(g9
g10
NtRp15058
(dp15059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15060
sbg8
(g9
g10
NtRp15061
(dp15062
g13
Nsg14
Nsg15
VFALSE
p15063
sbNg8
(g9
g10
NtRp15064
(dp15065
g13
Nsg14
Nsg15
VFALSE
p15066
sbNNNNNNNg8
(g9
g10
NtRp15067
(dp15068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15069
(dp15070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15071
(dp15072
g13
Nsg14
Nsg15
Vregio_v_42001_10_k_urban-atlas_series
p15073
sbNg8
(g9
g10
NtRp15074
(dp15075
g13
Nsg14
Nsg15
Vobsolete
p15076
sbtp15077
a(g8
(g9
g10
NtRp15078
(dp15079
g13
Nsg14
Nsg15
V667b1137-d84e-4abb-9340-5bb8f6cc0e40
p15080
sbNg8
(g9
g10
NtRp15081
(dp15082
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Oradea
p15083
sbNNNNNg8
(g9
g10
NtRp15084
(dp15085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15086
sbg8
(g23
g10
NtRp15087
(dp15088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15089
sbNg8
(g9
g10
NtRp15090
(dp15091
g13
Nsg14
Nsg15
VFALSE
p15092
sbNNNg8
(g9
g10
NtRp15093
(dp15094
g13
Nsg14
Nsg15
VFALSE
p15095
sbNNg8
(g9
g10
NtRp15096
(dp15097
g13
Nsg14
Nsg15
VFALSE
p15098
sbNNg8
(g9
g10
NtRp15099
(dp15100
g13
Nsg14
Nsg15
VFALSE
p15101
sbNg8
(g9
g10
NtRp15102
(dp15103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/667b1137-d84e-4abb-9340-5bb8f6cc0e40.png
p15104
sbNg8
(g9
g10
NtRp15105
(dp15106
g13
Nsg14
Nsg15
V2019-06-04
p15107
sbNNg8
(g9
g10
NtRp15108
(dp15109
g13
Nsg14
Nsg15
Vland use|urban area
p15110
sbg8
(g9
g10
NtRp15111
(dp15112
g13
Nsg14
Nsg15
Vvector
p15113
sbg8
(g9
g10
NtRp15114
(dp15115
g13
Nsg14
Nsg15
VSHP
p15116
sbNg8
(g9
g10
NtRp15117
(dp15118
g13
Nsg14
Nsg15
V1:10000
p15119
sbNg8
(g9
g10
NtRp15120
(dp15121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394037 (PS) (Date: 2007/04/08)
p15122
sbg8
(g9
g10
NtRp15123
(dp15124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/667b1137-d84e-4abb-9340-5bb8f6cc0e40
p15125
sbg8
(g9
g10
NtRp15126
(dp15127
g13
Nsg14
g74
sg15
V2007
p15128
sbg8
(g9
g10
NtRp15129
(dp15130
g13
Nsg14
g74
sg15
V2007
p15131
sbg8
(g9
g10
NtRp15132
(dp15133
g13
Nsg14
Nsg15
VFALSE
p15134
sbg8
(g9
g10
NtRp15135
(dp15136
g13
Nsg14
Nsg15
VLand use|Oradea|Romania
p15137
sbg8
(g9
g10
NtRp15138
(dp15139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15140
sbg8
(g9
g10
NtRp15141
(dp15142
g13
Nsg14
Nsg15
VFALSE
p15143
sbNg8
(g9
g10
NtRp15144
(dp15145
g13
Nsg14
Nsg15
VFALSE
p15146
sbNNNNNNNg8
(g9
g10
NtRp15147
(dp15148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15149
(dp15150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15151
(dp15152
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro006l_oradea_2007
p15153
sbNg8
(g9
g10
NtRp15154
(dp15155
g13
Nsg14
Nsg15
Vobsolete
p15156
sbtp15157
a(g8
(g9
g10
NtRp15158
(dp15159
g13
Nsg14
Nsg15
Vc89e5d9a-911e-4772-bec9-909e487d9e25
p15160
sbNg8
(g9
g10
NtRp15161
(dp15162
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Ruse (\u0420\u0443\u0441\u0435)
p15163
sbNNNNNg8
(g9
g10
NtRp15164
(dp15165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15166
sbg8
(g23
g10
NtRp15167
(dp15168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15169
sbNg8
(g9
g10
NtRp15170
(dp15171
g13
Nsg14
Nsg15
VFALSE
p15172
sbNNNg8
(g9
g10
NtRp15173
(dp15174
g13
Nsg14
Nsg15
VFALSE
p15175
sbNNg8
(g9
g10
NtRp15176
(dp15177
g13
Nsg14
Nsg15
VFALSE
p15178
sbNNg8
(g9
g10
NtRp15179
(dp15180
g13
Nsg14
Nsg15
VFALSE
p15181
sbNg8
(g9
g10
NtRp15182
(dp15183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c89e5d9a-911e-4772-bec9-909e487d9e25.png
p15184
sbNg8
(g9
g10
NtRp15185
(dp15186
g13
Nsg14
Nsg15
V2019-06-04
p15187
sbNNg8
(g9
g10
NtRp15188
(dp15189
g13
Nsg14
Nsg15
Vland use|urban area
p15190
sbg8
(g9
g10
NtRp15191
(dp15192
g13
Nsg14
Nsg15
Vvector
p15193
sbg8
(g9
g10
NtRp15194
(dp15195
g13
Nsg14
Nsg15
VSHP
p15196
sbNg8
(g9
g10
NtRp15197
(dp15198
g13
Nsg14
Nsg15
V1:10000
p15199
sbNg8
(g9
g10
NtRp15200
(dp15201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50922610508300914472B0 (PS) (Date: 2005/08/30) \u000a                      * Spot 5 2,50 m - 50922610709280913532B9 (PS) (Date: 2007/09/28)
p15202
sbg8
(g9
g10
NtRp15203
(dp15204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c89e5d9a-911e-4772-bec9-909e487d9e25
p15205
sbg8
(g9
g10
NtRp15206
(dp15207
g13
Nsg14
g74
sg15
V2005
p15208
sbg8
(g9
g10
NtRp15209
(dp15210
g13
Nsg14
g74
sg15
V2007
p15211
sbg8
(g9
g10
NtRp15212
(dp15213
g13
Nsg14
Nsg15
VTRUE
p15214
sbg8
(g9
g10
NtRp15215
(dp15216
g13
Nsg14
Nsg15
VBulgaria|Land use|Ruse
p15217
sbg8
(g9
g10
NtRp15218
(dp15219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15220
sbg8
(g9
g10
NtRp15221
(dp15222
g13
Nsg14
Nsg15
VFALSE
p15223
sbNg8
(g9
g10
NtRp15224
(dp15225
g13
Nsg14
Nsg15
VFALSE
p15226
sbNNNNNNNg8
(g9
g10
NtRp15227
(dp15228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15229
(dp15230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15231
(dp15232
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg006l_ruse_2005-2007
p15233
sbNg8
(g9
g10
NtRp15234
(dp15235
g13
Nsg14
Nsg15
Vobsolete
p15236
sbtp15237
a(g8
(g9
g10
NtRp15238
(dp15239
g13
Nsg14
Nsg15
Va0340d4e-a80d-48b5-8603-50fd00961a7c
p15240
sbNg8
(g9
g10
NtRp15241
(dp15242
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Warsaw (Warszawa)
p15243
sbNNNNNg8
(g9
g10
NtRp15244
(dp15245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15246
sbg8
(g23
g10
NtRp15247
(dp15248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15249
sbNg8
(g9
g10
NtRp15250
(dp15251
g13
Nsg14
Nsg15
VFALSE
p15252
sbNNNg8
(g9
g10
NtRp15253
(dp15254
g13
Nsg14
Nsg15
VFALSE
p15255
sbNNg8
(g9
g10
NtRp15256
(dp15257
g13
Nsg14
Nsg15
VFALSE
p15258
sbNNg8
(g9
g10
NtRp15259
(dp15260
g13
Nsg14
Nsg15
VFALSE
p15261
sbNg8
(g9
g10
NtRp15262
(dp15263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0340d4e-a80d-48b5-8603-50fd00961a7c.png
p15264
sbNg8
(g9
g10
NtRp15265
(dp15266
g13
Nsg14
Nsg15
V2019-06-04
p15267
sbNNg8
(g9
g10
NtRp15268
(dp15269
g13
Nsg14
Nsg15
Vland use|urban area
p15270
sbg8
(g9
g10
NtRp15271
(dp15272
g13
Nsg14
Nsg15
Vvector
p15273
sbg8
(g9
g10
NtRp15274
(dp15275
g13
Nsg14
Nsg15
VSHP
p15276
sbNg8
(g9
g10
NtRp15277
(dp15278
g13
Nsg14
Nsg15
V1:10000
p15279
sbNg8
(g9
g10
NtRp15280
(dp15281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800003 (PS) (Date: 2005/09/19) \u000a                      * Spot 5 2,50 m - 00182800016 (PS) (Date: 2006/07/27) \u000a                      * Spot 5 2,50 m - 00182800039 (PS) (Date: 2007/10/16) \u000a                      * Spot 5 2,50 m - 00182800041 (PS) (Date: 2007/10/16) \u000a                      * Spot 5 2,50 m - 00182800043 (PS) (Date: 2007/10/17) \u000a                      * Spot 5 2,50 m - 00182800044 (PS) (Date: 2007/10/17)
p15282
sbg8
(g9
g10
NtRp15283
(dp15284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0340d4e-a80d-48b5-8603-50fd00961a7c
p15285
sbg8
(g9
g10
NtRp15286
(dp15287
g13
Nsg14
g74
sg15
V2005
p15288
sbg8
(g9
g10
NtRp15289
(dp15290
g13
Nsg14
g74
sg15
V2007
p15291
sbg8
(g9
g10
NtRp15292
(dp15293
g13
Nsg14
Nsg15
VTRUE
p15294
sbg8
(g9
g10
NtRp15295
(dp15296
g13
Nsg14
Nsg15
VLand use|Poland|Warsaw
p15297
sbg8
(g9
g10
NtRp15298
(dp15299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15300
sbg8
(g9
g10
NtRp15301
(dp15302
g13
Nsg14
Nsg15
VFALSE
p15303
sbNg8
(g9
g10
NtRp15304
(dp15305
g13
Nsg14
Nsg15
VFALSE
p15306
sbNNNNNNNg8
(g9
g10
NtRp15307
(dp15308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15309
(dp15310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15311
(dp15312
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl001l_warszawa_2005-2007
p15313
sbNg8
(g9
g10
NtRp15314
(dp15315
g13
Nsg14
Nsg15
Vobsolete
p15316
sbtp15317
a(g8
(g9
g10
NtRp15318
(dp15319
g13
Nsg14
Nsg15
Vd2d17b33-db09-4534-aa96-2ad54f655ba3
p15320
sbNg8
(g9
g10
NtRp15321
(dp15322
g13
Nsg14
Nsg15
VUrban Atlas - France - Paris
p15323
sbNNNNNg8
(g9
g10
NtRp15324
(dp15325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15326
sbg8
(g23
g10
NtRp15327
(dp15328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15329
sbNg8
(g9
g10
NtRp15330
(dp15331
g13
Nsg14
Nsg15
VFALSE
p15332
sbNNNg8
(g9
g10
NtRp15333
(dp15334
g13
Nsg14
Nsg15
VFALSE
p15335
sbNNg8
(g9
g10
NtRp15336
(dp15337
g13
Nsg14
Nsg15
VFALSE
p15338
sbNNg8
(g9
g10
NtRp15339
(dp15340
g13
Nsg14
Nsg15
VFALSE
p15341
sbNg8
(g9
g10
NtRp15342
(dp15343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d2d17b33-db09-4534-aa96-2ad54f655ba3.png
p15344
sbNg8
(g9
g10
NtRp15345
(dp15346
g13
Nsg14
Nsg15
V2019-06-04
p15347
sbNNg8
(g9
g10
NtRp15348
(dp15349
g13
Nsg14
Nsg15
Vland use|urban area
p15350
sbg8
(g9
g10
NtRp15351
(dp15352
g13
Nsg14
Nsg15
Vvector
p15353
sbg8
(g9
g10
NtRp15354
(dp15355
g13
Nsg14
Nsg15
VSHP
p15356
sbNg8
(g9
g10
NtRp15357
(dp15358
g13
Nsg14
Nsg15
V1:10000
p15359
sbNg8
(g9
g10
NtRp15360
(dp15361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50392520708271110092J0 (XS) (Date: 2007/08/27) \u000a                      * Spot 5 10 m - 50412530506081052342J0 (XS) (Date: 2005/06/08) \u000a                      * Spot 5 10 m - 50422520604221034482J0 (XS) (Date: 2006/04/22) \u000a                      * Spot 5 2,50 m - 50382500508291114021B2 (P) (Date: 2005/08/29) \u000a                      * Spot 5 2,50 m - 50392510507131118412B2 (P) (Date: 2005/07/13) \u000a                      * Spot 5 2,50 m - 50392520708271110072B3 (P) (Date: 2007/08/27) \u000a                      * Spot 5 2,50 m - 50412510710231113032B0 (P) (Date: 2007/10/23) \u000a                      * Spot 5 2,50 m - 50422510512171056482B3 (P) (Date: 2005/12/17) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113513_DLR_6001_PRUTM (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113521_DLR_6001_PRUTM (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113529_DLR_6001_PRUTM (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080427_105220_DLR_12025_PRUTM (XS) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080920_112219_DLR_14155_PRUTM (XS) (Date: 2008/09/20) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080920_112227_DLR_14155_PRUTM (XS) (Date: 2008/09/20) \u000a                      * ALOS 10 m - AL_PSM_P_20070310_105503_DLR_5986_PRUTM (Date: 2007/03/10) \u000a                      * ALOS 10 m - AL_PSM_P_20070310_105507_DLR_5986_PRUTM (Date: 2007/03/10) \u000a                      * ALOS 10 m - AL_PSM_P_20070610_105511_DLR_7328_PRUTM (Date: 2007/06/10) \u000a                      * ALOS 10 m - AL_PSM_P_20070610_105515_DLR_7328_PRUTM (Date: 2007/06/10) \u000a                      * ALOS 10 m - AL_PSM_P_20070726_105459_DLR_7999_PRUTM (Date: 2007/07/26) \u000a                      * ALOS 10 m - AL_PSM_P_20070726_105503_DLR_7999_PRUTM (Date: 2007/07/26) \u000a                      * ALOS 10 m - AL_PSM_P_20080427_105212_DLR_12025_PRUTM (Date: 2008/04/27) \u000a                      * ALOS 10 m - AL_PSM_P_20080427_105216_DLR_12025_PRUTM (Date: 2008/04/27) \u000a                      * ALOS 10 m - AL_PSM_P_20080427_105220_DLR_12025_PRUTM (Date: 2008/04/27) \u000a                      * ALOS 10 m - AL_PSM_P_20080427_105225_DLR_12025_PRUTM (Date: 2008/04/27) \u000a                      * ALOS 10 m - AL_PSM_P_20080427_105229_DLR_12025_PRUTM (Date: 2008/04/27) \u000a                      * ALOS 10 m - AL_PSM_P_20080514_105408_DLR_12273_PRUTM (Date: 2008/05/14) \u000a                      * ALOS 10 m - AL_PSM_P_20080514_105412_DLR_12273_PRUTM (Date: 2008/05/14) \u000a                      * ALOS 10 m - AL_PSM_P_20080514_105416_DLR_12273_PRUTM (Date: 2008/05/14) \u000a                      * ALOS 10 m - AL_PSM_P_20080716_105558_DLR_13192_PRUTM (Date: 2008/07/16) \u000a                      * ALOS 10 m - AL_PSM_P_20090320_110151_DLR_16795_PRUTM (Date: 2009/03/20) \u000a                      * ALOS 10 m - AL_PSM_P_20090401_105739_DLR_16970_PRUTM (Date: 2009/04/01) \u000a                      * ALOS 10 m - AL_PSM_P_20090401_105744_DLR_16970_PRUTM (Date: 2009/04/01) \u000a                      * ALOS 10 m - AL_PSM_P_20090401_105748_DLR_16970_PRUTM (Date: 2009/04/01) \u000a                      * ALOS 10 m - AL_PSM_P_20090401_105752_DLR_16970_PRUTM (Date: 2009/04/01)
p15362
sbg8
(g9
g10
NtRp15363
(dp15364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d2d17b33-db09-4534-aa96-2ad54f655ba3
p15365
sbg8
(g9
g10
NtRp15366
(dp15367
g13
Nsg14
g74
sg15
V2005
p15368
sbg8
(g9
g10
NtRp15369
(dp15370
g13
Nsg14
g74
sg15
V2009
p15371
sbg8
(g9
g10
NtRp15372
(dp15373
g13
Nsg14
Nsg15
VTRUE
p15374
sbg8
(g9
g10
NtRp15375
(dp15376
g13
Nsg14
Nsg15
VFrance|Land use|Paris
p15377
sbg8
(g9
g10
NtRp15378
(dp15379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15380
sbg8
(g9
g10
NtRp15381
(dp15382
g13
Nsg14
Nsg15
VFALSE
p15383
sbNg8
(g9
g10
NtRp15384
(dp15385
g13
Nsg14
Nsg15
VFALSE
p15386
sbNNNNNNNg8
(g9
g10
NtRp15387
(dp15388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15389
(dp15390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15391
(dp15392
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr001l_paris_2005-2009
p15393
sbNg8
(g9
g10
NtRp15394
(dp15395
g13
Nsg14
Nsg15
Vobsolete
p15396
sbtp15397
a(g8
(g9
g10
NtRp15398
(dp15399
g13
Nsg14
Nsg15
V462c3f35-512d-4bb9-a82c-4ad2c7f57021
p15400
sbNg8
(g9
g10
NtRp15401
(dp15402
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Bratislava
p15403
sbNNNNNg8
(g9
g10
NtRp15404
(dp15405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15406
sbg8
(g23
g10
NtRp15407
(dp15408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15409
sbNg8
(g9
g10
NtRp15410
(dp15411
g13
Nsg14
Nsg15
VFALSE
p15412
sbNNNg8
(g9
g10
NtRp15413
(dp15414
g13
Nsg14
Nsg15
VFALSE
p15415
sbNNg8
(g9
g10
NtRp15416
(dp15417
g13
Nsg14
Nsg15
VFALSE
p15418
sbNNg8
(g9
g10
NtRp15419
(dp15420
g13
Nsg14
Nsg15
VFALSE
p15421
sbNg8
(g9
g10
NtRp15422
(dp15423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/462c3f35-512d-4bb9-a82c-4ad2c7f57021.png
p15424
sbNg8
(g9
g10
NtRp15425
(dp15426
g13
Nsg14
Nsg15
V2019-06-04
p15427
sbNNg8
(g9
g10
NtRp15428
(dp15429
g13
Nsg14
Nsg15
Vland use|urban area
p15430
sbg8
(g9
g10
NtRp15431
(dp15432
g13
Nsg14
Nsg15
Vvector
p15433
sbg8
(g9
g10
NtRp15434
(dp15435
g13
Nsg14
Nsg15
VSHP
p15436
sbNg8
(g9
g10
NtRp15437
(dp15438
g13
Nsg14
Nsg15
V1:10000
p15439
sbNg8
(g9
g10
NtRp15440
(dp15441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784027 (XS) (Date: 2005/10/30) \u000a                      * Spot 5 2,50 m - 00182784029 (XS) (Date: 2007/07/20) \u000a                      * Spot 5 2,50 m - 00182784030 (XS) (Date: 2007/07/20) \u000a                      * Spot 5 2,50 m - 001182793028 (P) (Date: 2007/07/20) \u000a                      * Spot 5 2,50 m - 001182793029 (P) (Date: 2007/07/20) \u000a                      * Spot 5 2,50 m - 001182793033 (P) (Date: 2007/07/16)
p15442
sbg8
(g9
g10
NtRp15443
(dp15444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/462c3f35-512d-4bb9-a82c-4ad2c7f57021
p15445
sbg8
(g9
g10
NtRp15446
(dp15447
g13
Nsg14
g74
sg15
V2005
p15448
sbg8
(g9
g10
NtRp15449
(dp15450
g13
Nsg14
g74
sg15
V2007
p15451
sbg8
(g9
g10
NtRp15452
(dp15453
g13
Nsg14
Nsg15
VTRUE
p15454
sbg8
(g9
g10
NtRp15455
(dp15456
g13
Nsg14
Nsg15
VBratislava|Land use|Slovakia
p15457
sbg8
(g9
g10
NtRp15458
(dp15459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15460
sbg8
(g9
g10
NtRp15461
(dp15462
g13
Nsg14
Nsg15
VFALSE
p15463
sbNg8
(g9
g10
NtRp15464
(dp15465
g13
Nsg14
Nsg15
VFALSE
p15466
sbNNNNNNNg8
(g9
g10
NtRp15467
(dp15468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15469
(dp15470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15471
(dp15472
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-sk001l_bratislava_2005-2007
p15473
sbNg8
(g9
g10
NtRp15474
(dp15475
g13
Nsg14
Nsg15
Vobsolete
p15476
sbtp15477
a(g8
(g9
g10
NtRp15478
(dp15479
g13
Nsg14
Nsg15
Vd710f350-b942-494e-ac6a-846fa936b162
p15480
sbNg8
(g9
g10
NtRp15481
(dp15482
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Verona
p15483
sbNNNNNg8
(g9
g10
NtRp15484
(dp15485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15486
sbg8
(g23
g10
NtRp15487
(dp15488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15489
sbNg8
(g9
g10
NtRp15490
(dp15491
g13
Nsg14
Nsg15
VFALSE
p15492
sbNNNg8
(g9
g10
NtRp15493
(dp15494
g13
Nsg14
Nsg15
VFALSE
p15495
sbNNg8
(g9
g10
NtRp15496
(dp15497
g13
Nsg14
Nsg15
VFALSE
p15498
sbNNg8
(g9
g10
NtRp15499
(dp15500
g13
Nsg14
Nsg15
VFALSE
p15501
sbNg8
(g9
g10
NtRp15502
(dp15503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d710f350-b942-494e-ac6a-846fa936b162.png
p15504
sbNg8
(g9
g10
NtRp15505
(dp15506
g13
Nsg14
Nsg15
V2019-06-04
p15507
sbNNg8
(g9
g10
NtRp15508
(dp15509
g13
Nsg14
Nsg15
Vland use|urban area
p15510
sbg8
(g9
g10
NtRp15511
(dp15512
g13
Nsg14
Nsg15
Vvector
p15513
sbg8
(g9
g10
NtRp15514
(dp15515
g13
Nsg14
Nsg15
VSHP
p15516
sbNg8
(g9
g10
NtRp15517
(dp15518
g13
Nsg14
Nsg15
V1:10000
p15519
sbNg8
(g9
g10
NtRp15520
(dp15521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070713_101924_DLR_7809_PRUTM (XS) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070713_101933_DLR_7809_PRUTM (XS) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061010_101823_DLR_3783_PRUTM (P) (Date: 2006/10/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061010_101827_DLR_3783_PRUTM (P) (Date: 2006/10/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070713_101924_DLR_7809_PRUTM (P) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070713_101929_DLR_7809_PRUTM (P) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080628_101352_DLR_12929_PRUTM (P) (Date: 2008/06/28)
p15522
sbg8
(g9
g10
NtRp15523
(dp15524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d710f350-b942-494e-ac6a-846fa936b162
p15525
sbg8
(g9
g10
NtRp15526
(dp15527
g13
Nsg14
g74
sg15
V2006
p15528
sbg8
(g9
g10
NtRp15529
(dp15530
g13
Nsg14
g74
sg15
V2008
p15531
sbg8
(g9
g10
NtRp15532
(dp15533
g13
Nsg14
Nsg15
VTRUE
p15534
sbg8
(g9
g10
NtRp15535
(dp15536
g13
Nsg14
Nsg15
VItaly|Land use|Verona
p15537
sbg8
(g9
g10
NtRp15538
(dp15539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15540
sbg8
(g9
g10
NtRp15541
(dp15542
g13
Nsg14
Nsg15
VFALSE
p15543
sbNg8
(g9
g10
NtRp15544
(dp15545
g13
Nsg14
Nsg15
VFALSE
p15546
sbNNNNNNNg8
(g9
g10
NtRp15547
(dp15548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15549
(dp15550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15551
(dp15552
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it012l_verona_2006-2008
p15553
sbNg8
(g9
g10
NtRp15554
(dp15555
g13
Nsg14
Nsg15
Vobsolete
p15556
sbtp15557
a(g8
(g9
g10
NtRp15558
(dp15559
g13
Nsg14
Nsg15
Vef05c800-030c-441e-a83b-621a38d488e7
p15560
sbNg8
(g9
g10
NtRp15561
(dp15562
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Opole
p15563
sbNNNNNg8
(g9
g10
NtRp15564
(dp15565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15566
sbg8
(g23
g10
NtRp15567
(dp15568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15569
sbNg8
(g9
g10
NtRp15570
(dp15571
g13
Nsg14
Nsg15
VFALSE
p15572
sbNNNg8
(g9
g10
NtRp15573
(dp15574
g13
Nsg14
Nsg15
VFALSE
p15575
sbNNg8
(g9
g10
NtRp15576
(dp15577
g13
Nsg14
Nsg15
VFALSE
p15578
sbNNg8
(g9
g10
NtRp15579
(dp15580
g13
Nsg14
Nsg15
VFALSE
p15581
sbNg8
(g9
g10
NtRp15582
(dp15583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef05c800-030c-441e-a83b-621a38d488e7.png
p15584
sbNg8
(g9
g10
NtRp15585
(dp15586
g13
Nsg14
Nsg15
V2019-06-04
p15587
sbNNg8
(g9
g10
NtRp15588
(dp15589
g13
Nsg14
Nsg15
Vland use|urban area
p15590
sbg8
(g9
g10
NtRp15591
(dp15592
g13
Nsg14
Nsg15
Vvector
p15593
sbg8
(g9
g10
NtRp15594
(dp15595
g13
Nsg14
Nsg15
VSHP
p15596
sbNg8
(g9
g10
NtRp15597
(dp15598
g13
Nsg14
Nsg15
V1:10000
p15599
sbNg8
(g9
g10
NtRp15600
(dp15601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50692470709251010211B8 (PS) (Date: 2007/09/25) \u000a                      * Spot 5 2,50 m - 50702470609120943351B0 (PS) (Date: 2006/09/12) \u000a                      * Spot 5 2,50 m - 50702480609120943431B0 (PS) (Date: 2006/09/12)
p15602
sbg8
(g9
g10
NtRp15603
(dp15604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef05c800-030c-441e-a83b-621a38d488e7
p15605
sbg8
(g9
g10
NtRp15606
(dp15607
g13
Nsg14
g74
sg15
V2006
p15608
sbg8
(g9
g10
NtRp15609
(dp15610
g13
Nsg14
g74
sg15
V2007
p15611
sbg8
(g9
g10
NtRp15612
(dp15613
g13
Nsg14
Nsg15
VTRUE
p15614
sbg8
(g9
g10
NtRp15615
(dp15616
g13
Nsg14
Nsg15
VLand use|Opole|Poland
p15617
sbg8
(g9
g10
NtRp15618
(dp15619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15620
sbg8
(g9
g10
NtRp15621
(dp15622
g13
Nsg14
Nsg15
VFALSE
p15623
sbNg8
(g9
g10
NtRp15624
(dp15625
g13
Nsg14
Nsg15
VFALSE
p15626
sbNNNNNNNg8
(g9
g10
NtRp15627
(dp15628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15629
(dp15630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15631
(dp15632
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl016l_opole_2006-2007
p15633
sbNg8
(g9
g10
NtRp15634
(dp15635
g13
Nsg14
Nsg15
Vobsolete
p15636
sbtp15637
a(g8
(g9
g10
NtRp15638
(dp15639
g13
Nsg14
Nsg15
Vbe3d2731-764e-4c19-9e43-00a005d1e87e
p15640
sbNg8
(g9
g10
NtRp15641
(dp15642
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Bruges (Brugge)
p15643
sbNNNNNg8
(g9
g10
NtRp15644
(dp15645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15646
sbg8
(g23
g10
NtRp15647
(dp15648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15649
sbNg8
(g9
g10
NtRp15650
(dp15651
g13
Nsg14
Nsg15
VFALSE
p15652
sbNNNg8
(g9
g10
NtRp15653
(dp15654
g13
Nsg14
Nsg15
VFALSE
p15655
sbNNg8
(g9
g10
NtRp15656
(dp15657
g13
Nsg14
Nsg15
VFALSE
p15658
sbNNg8
(g9
g10
NtRp15659
(dp15660
g13
Nsg14
Nsg15
VFALSE
p15661
sbNg8
(g9
g10
NtRp15662
(dp15663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/be3d2731-764e-4c19-9e43-00a005d1e87e.png
p15664
sbNg8
(g9
g10
NtRp15665
(dp15666
g13
Nsg14
Nsg15
V2019-06-04
p15667
sbNNg8
(g9
g10
NtRp15668
(dp15669
g13
Nsg14
Nsg15
Vland use|urban area
p15670
sbg8
(g9
g10
NtRp15671
(dp15672
g13
Nsg14
Nsg15
Vvector
p15673
sbg8
(g9
g10
NtRp15674
(dp15675
g13
Nsg14
Nsg15
VSHP
p15676
sbNg8
(g9
g10
NtRp15677
(dp15678
g13
Nsg14
Nsg15
V1:10000
p15679
sbNg8
(g9
g10
NtRp15680
(dp15681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538045 (PS) (Date: 2006/10/15)
p15682
sbg8
(g9
g10
NtRp15683
(dp15684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be3d2731-764e-4c19-9e43-00a005d1e87e
p15685
sbg8
(g9
g10
NtRp15686
(dp15687
g13
Nsg14
g74
sg15
V2006
p15688
sbg8
(g9
g10
NtRp15689
(dp15690
g13
Nsg14
g74
sg15
V2006
p15691
sbg8
(g9
g10
NtRp15692
(dp15693
g13
Nsg14
Nsg15
VFALSE
p15694
sbg8
(g9
g10
NtRp15695
(dp15696
g13
Nsg14
Nsg15
VBelgium|Bruges|Land use
p15697
sbg8
(g9
g10
NtRp15698
(dp15699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15700
sbg8
(g9
g10
NtRp15701
(dp15702
g13
Nsg14
Nsg15
VFALSE
p15703
sbNg8
(g9
g10
NtRp15704
(dp15705
g13
Nsg14
Nsg15
VFALSE
p15706
sbNNNNNNNg8
(g9
g10
NtRp15707
(dp15708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15709
(dp15710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15711
(dp15712
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be006l_brugge_2006
p15713
sbNg8
(g9
g10
NtRp15714
(dp15715
g13
Nsg14
Nsg15
Vobsolete
p15716
sbtp15717
a(g8
(g9
g10
NtRp15718
(dp15719
g13
Nsg14
Nsg15
Vb738b0b0-a4d9-4cfd-aa7f-d6fba6163bac
p15720
sbNg8
(g9
g10
NtRp15721
(dp15722
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Cluj-Napoca
p15723
sbNNNNNg8
(g9
g10
NtRp15724
(dp15725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15726
sbg8
(g23
g10
NtRp15727
(dp15728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15729
sbNg8
(g9
g10
NtRp15730
(dp15731
g13
Nsg14
Nsg15
VFALSE
p15732
sbNNNg8
(g9
g10
NtRp15733
(dp15734
g13
Nsg14
Nsg15
VFALSE
p15735
sbNNg8
(g9
g10
NtRp15736
(dp15737
g13
Nsg14
Nsg15
VFALSE
p15738
sbNNg8
(g9
g10
NtRp15739
(dp15740
g13
Nsg14
Nsg15
VFALSE
p15741
sbNg8
(g9
g10
NtRp15742
(dp15743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b738b0b0-a4d9-4cfd-aa7f-d6fba6163bac.png
p15744
sbNg8
(g9
g10
NtRp15745
(dp15746
g13
Nsg14
Nsg15
V2019-06-04
p15747
sbNNg8
(g9
g10
NtRp15748
(dp15749
g13
Nsg14
Nsg15
Vland use|urban area
p15750
sbg8
(g9
g10
NtRp15751
(dp15752
g13
Nsg14
Nsg15
Vvector
p15753
sbg8
(g9
g10
NtRp15754
(dp15755
g13
Nsg14
Nsg15
VSHP
p15756
sbNg8
(g9
g10
NtRp15757
(dp15758
g13
Nsg14
Nsg15
V1:10000
p15759
sbNg8
(g9
g10
NtRp15760
(dp15761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00185800033 (PS) (Date: 2006/10/25)
p15762
sbg8
(g9
g10
NtRp15763
(dp15764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b738b0b0-a4d9-4cfd-aa7f-d6fba6163bac
p15765
sbg8
(g9
g10
NtRp15766
(dp15767
g13
Nsg14
g74
sg15
V2006
p15768
sbg8
(g9
g10
NtRp15769
(dp15770
g13
Nsg14
g74
sg15
V2006
p15771
sbg8
(g9
g10
NtRp15772
(dp15773
g13
Nsg14
Nsg15
VFALSE
p15774
sbg8
(g9
g10
NtRp15775
(dp15776
g13
Nsg14
Nsg15
VCluj-Napoca|Land use|Romania
p15777
sbg8
(g9
g10
NtRp15778
(dp15779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15780
sbg8
(g9
g10
NtRp15781
(dp15782
g13
Nsg14
Nsg15
VFALSE
p15783
sbNg8
(g9
g10
NtRp15784
(dp15785
g13
Nsg14
Nsg15
VFALSE
p15786
sbNNNNNNNg8
(g9
g10
NtRp15787
(dp15788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15789
(dp15790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15791
(dp15792
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro002l_cluj_napoca_2006
p15793
sbNg8
(g9
g10
NtRp15794
(dp15795
g13
Nsg14
Nsg15
Vobsolete
p15796
sbtp15797
a(g8
(g9
g10
NtRp15798
(dp15799
g13
Nsg14
Nsg15
V1893d59d-3af7-4b27-8459-ad385dc91803
p15800
sbNg8
(g9
g10
NtRp15801
(dp15802
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Debrecen
p15803
sbNNNNNg8
(g9
g10
NtRp15804
(dp15805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15806
sbg8
(g23
g10
NtRp15807
(dp15808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15809
sbNg8
(g9
g10
NtRp15810
(dp15811
g13
Nsg14
Nsg15
VFALSE
p15812
sbNNNg8
(g9
g10
NtRp15813
(dp15814
g13
Nsg14
Nsg15
VFALSE
p15815
sbNNg8
(g9
g10
NtRp15816
(dp15817
g13
Nsg14
Nsg15
VFALSE
p15818
sbNNg8
(g9
g10
NtRp15819
(dp15820
g13
Nsg14
Nsg15
VFALSE
p15821
sbNg8
(g9
g10
NtRp15822
(dp15823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1893d59d-3af7-4b27-8459-ad385dc91803.png
p15824
sbNg8
(g9
g10
NtRp15825
(dp15826
g13
Nsg14
Nsg15
V2019-06-04
p15827
sbNNg8
(g9
g10
NtRp15828
(dp15829
g13
Nsg14
Nsg15
Vland use|urban area
p15830
sbg8
(g9
g10
NtRp15831
(dp15832
g13
Nsg14
Nsg15
Vvector
p15833
sbg8
(g9
g10
NtRp15834
(dp15835
g13
Nsg14
Nsg15
VSHP
p15836
sbNg8
(g9
g10
NtRp15837
(dp15838
g13
Nsg14
Nsg15
V1:10000
p15839
sbNg8
(g9
g10
NtRp15840
(dp15841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183535048 (PS) (Date: 2006/10/18) \u000a                      * Spot 5 2,50 m - 00183756059 (PS) (Date: 2007/08/01)
p15842
sbg8
(g9
g10
NtRp15843
(dp15844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1893d59d-3af7-4b27-8459-ad385dc91803
p15845
sbg8
(g9
g10
NtRp15846
(dp15847
g13
Nsg14
g74
sg15
V2006
p15848
sbg8
(g9
g10
NtRp15849
(dp15850
g13
Nsg14
g74
sg15
V2007
p15851
sbg8
(g9
g10
NtRp15852
(dp15853
g13
Nsg14
Nsg15
VTRUE
p15854
sbg8
(g9
g10
NtRp15855
(dp15856
g13
Nsg14
Nsg15
VDebrecen|Hungary|Land use
p15857
sbg8
(g9
g10
NtRp15858
(dp15859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15860
sbg8
(g9
g10
NtRp15861
(dp15862
g13
Nsg14
Nsg15
VFALSE
p15863
sbNg8
(g9
g10
NtRp15864
(dp15865
g13
Nsg14
Nsg15
VFALSE
p15866
sbNNNNNNNg8
(g9
g10
NtRp15867
(dp15868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15869
(dp15870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15871
(dp15872
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu005l_debrecen_2006-2007
p15873
sbNg8
(g9
g10
NtRp15874
(dp15875
g13
Nsg14
Nsg15
Vobsolete
p15876
sbtp15877
a(g8
(g9
g10
NtRp15878
(dp15879
g13
Nsg14
Nsg15
V462ab3c1-9fcd-4f9a-b627-25cbbb283505
p15880
sbNg8
(g9
g10
NtRp15881
(dp15882
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Suwa\u0142ki
p15883
sbNNNNNg8
(g9
g10
NtRp15884
(dp15885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15886
sbg8
(g23
g10
NtRp15887
(dp15888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15889
sbNg8
(g9
g10
NtRp15890
(dp15891
g13
Nsg14
Nsg15
VFALSE
p15892
sbNNNg8
(g9
g10
NtRp15893
(dp15894
g13
Nsg14
Nsg15
VFALSE
p15895
sbNNg8
(g9
g10
NtRp15896
(dp15897
g13
Nsg14
Nsg15
VFALSE
p15898
sbNNg8
(g9
g10
NtRp15899
(dp15900
g13
Nsg14
Nsg15
VFALSE
p15901
sbNg8
(g9
g10
NtRp15902
(dp15903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/462ab3c1-9fcd-4f9a-b627-25cbbb283505.png
p15904
sbNg8
(g9
g10
NtRp15905
(dp15906
g13
Nsg14
Nsg15
V2019-06-04
p15907
sbNNg8
(g9
g10
NtRp15908
(dp15909
g13
Nsg14
Nsg15
Vland use|urban area
p15910
sbg8
(g9
g10
NtRp15911
(dp15912
g13
Nsg14
Nsg15
Vvector
p15913
sbg8
(g9
g10
NtRp15914
(dp15915
g13
Nsg14
Nsg15
VSHP
p15916
sbNg8
(g9
g10
NtRp15917
(dp15918
g13
Nsg14
Nsg15
V1:10000
p15919
sbNg8
(g9
g10
NtRp15920
(dp15921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - SLT-GDF07000?190153001 (PS) (Date: 2007/06/09) \u000a                      * Spot 5 2,50 m - SLT-GDF07000?190153002 (PS) (Date: 2007/06/09) \u000a                      * Spot 5 2,50 m - SLT-GDF07000?190153003 (PS) (Date: 2006/06/21) \u000a                      * Spot 5 2,50 m - SLT-GDF07000?190153004 (PS) (Date: 2006/06/21) \u000a                      * RapidEye 5 m - 2009-04-23T101739_RE3_3A-NAC_6360164_111225 (XS) (Date: 2009/04/23) \u000a                      * RapidEye 5 m - 2009-04-23T101739_RE3_3A-NAC_6360229_111225 (XS) (Date: 2009/04/23) \u000a                      * RapidEye 5 m - 2009-04-23T101742_RE3_3A-NAC_6360160_111225 (XS) (Date: 2009/04/23) \u000a                      * RapidEye 5 m - 2009-04-23T101743_RE3_3A-NAC_6360165_111225 (XS) (Date: 2009/04/23) \u000a                      * RapidEye 5 m - 2009-08-24T102135_RE2_3A-NAC_6359232_111225 (XS) (Date: 2009/08/24) \u000a                      * RapidEye 5 m - 2009-08-24T102139_RE2_3A-NAC_6359233_111225 (XS) (Date: 2009/08/24)
p15922
sbg8
(g9
g10
NtRp15923
(dp15924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/462ab3c1-9fcd-4f9a-b627-25cbbb283505
p15925
sbg8
(g9
g10
NtRp15926
(dp15927
g13
Nsg14
g74
sg15
V2006
p15928
sbg8
(g9
g10
NtRp15929
(dp15930
g13
Nsg14
g74
sg15
V2009
p15931
sbg8
(g9
g10
NtRp15932
(dp15933
g13
Nsg14
Nsg15
VTRUE
p15934
sbg8
(g9
g10
NtRp15935
(dp15936
g13
Nsg14
Nsg15
VLand use|Poland|Suwa\u0142ki
p15937
sbg8
(g9
g10
NtRp15938
(dp15939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p15940
sbg8
(g9
g10
NtRp15941
(dp15942
g13
Nsg14
Nsg15
VFALSE
p15943
sbNg8
(g9
g10
NtRp15944
(dp15945
g13
Nsg14
Nsg15
VFALSE
p15946
sbNNNNNNNg8
(g9
g10
NtRp15947
(dp15948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp15949
(dp15950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp15951
(dp15952
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl021l_suwalki_2006-2009
p15953
sbNg8
(g9
g10
NtRp15954
(dp15955
g13
Nsg14
Nsg15
Vobsolete
p15956
sbtp15957
a(g8
(g9
g10
NtRp15958
(dp15959
g13
Nsg14
Nsg15
Vf69ef67d-760f-48a7-9b2a-b0389d19fec3
p15960
sbNg8
(g9
g10
NtRp15961
(dp15962
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Olsztyn
p15963
sbNNNNNg8
(g9
g10
NtRp15964
(dp15965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p15966
sbg8
(g23
g10
NtRp15967
(dp15968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p15969
sbNg8
(g9
g10
NtRp15970
(dp15971
g13
Nsg14
Nsg15
VFALSE
p15972
sbNNNg8
(g9
g10
NtRp15973
(dp15974
g13
Nsg14
Nsg15
VFALSE
p15975
sbNNg8
(g9
g10
NtRp15976
(dp15977
g13
Nsg14
Nsg15
VFALSE
p15978
sbNNg8
(g9
g10
NtRp15979
(dp15980
g13
Nsg14
Nsg15
VFALSE
p15981
sbNg8
(g9
g10
NtRp15982
(dp15983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f69ef67d-760f-48a7-9b2a-b0389d19fec3.png
p15984
sbNg8
(g9
g10
NtRp15985
(dp15986
g13
Nsg14
Nsg15
V2019-06-04
p15987
sbNNg8
(g9
g10
NtRp15988
(dp15989
g13
Nsg14
Nsg15
Vland use|urban area
p15990
sbg8
(g9
g10
NtRp15991
(dp15992
g13
Nsg14
Nsg15
Vvector
p15993
sbg8
(g9
g10
NtRp15994
(dp15995
g13
Nsg14
Nsg15
VSHP
p15996
sbNg8
(g9
g10
NtRp15997
(dp15998
g13
Nsg14
Nsg15
V1:10000
p15999
sbNg8
(g9
g10
NtRp16000
(dp16001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394030 (PS) (Date: 2006/07/11) \u000a                      * Spot 5 2,50 m - 00186394045 (PS) (Date: 2007/09/25) \u000a                      * Spot 5 2,50 m - 00186394046 (PS) (Date: 2007/09/25)
p16002
sbg8
(g9
g10
NtRp16003
(dp16004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f69ef67d-760f-48a7-9b2a-b0389d19fec3
p16005
sbg8
(g9
g10
NtRp16006
(dp16007
g13
Nsg14
g74
sg15
V2006
p16008
sbg8
(g9
g10
NtRp16009
(dp16010
g13
Nsg14
g74
sg15
V2007
p16011
sbg8
(g9
g10
NtRp16012
(dp16013
g13
Nsg14
Nsg15
VTRUE
p16014
sbg8
(g9
g10
NtRp16015
(dp16016
g13
Nsg14
Nsg15
VLand use|Olsztyn|Poland
p16017
sbg8
(g9
g10
NtRp16018
(dp16019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16020
sbg8
(g9
g10
NtRp16021
(dp16022
g13
Nsg14
Nsg15
VFALSE
p16023
sbNg8
(g9
g10
NtRp16024
(dp16025
g13
Nsg14
Nsg15
VFALSE
p16026
sbNNNNNNNg8
(g9
g10
NtRp16027
(dp16028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16029
(dp16030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16031
(dp16032
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl014l_olsztyn_2006-2007
p16033
sbNg8
(g9
g10
NtRp16034
(dp16035
g13
Nsg14
Nsg15
Vobsolete
p16036
sbtp16037
a(g8
(g9
g10
NtRp16038
(dp16039
g13
Nsg14
Nsg15
Va5737e2a-4947-40e4-8d58-12c0fc72a573
p16040
sbNg8
(g9
g10
NtRp16041
(dp16042
g13
Nsg14
Nsg15
VUrban Atlas - Estonia - Tallinn
p16043
sbNNNNNg8
(g9
g10
NtRp16044
(dp16045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16046
sbg8
(g23
g10
NtRp16047
(dp16048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16049
sbNg8
(g9
g10
NtRp16050
(dp16051
g13
Nsg14
Nsg15
VFALSE
p16052
sbNNNg8
(g9
g10
NtRp16053
(dp16054
g13
Nsg14
Nsg15
VFALSE
p16055
sbNNg8
(g9
g10
NtRp16056
(dp16057
g13
Nsg14
Nsg15
VFALSE
p16058
sbNNg8
(g9
g10
NtRp16059
(dp16060
g13
Nsg14
Nsg15
VFALSE
p16061
sbNg8
(g9
g10
NtRp16062
(dp16063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a5737e2a-4947-40e4-8d58-12c0fc72a573.png
p16064
sbNg8
(g9
g10
NtRp16065
(dp16066
g13
Nsg14
Nsg15
V2019-06-04
p16067
sbNNg8
(g9
g10
NtRp16068
(dp16069
g13
Nsg14
Nsg15
Vland use|urban area
p16070
sbg8
(g9
g10
NtRp16071
(dp16072
g13
Nsg14
Nsg15
Vvector
p16073
sbg8
(g9
g10
NtRp16074
(dp16075
g13
Nsg14
Nsg15
VSHP
p16076
sbNg8
(g9
g10
NtRp16077
(dp16078
g13
Nsg14
Nsg15
V1:10000
p16079
sbNg8
(g9
g10
NtRp16080
(dp16081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784031 (XS) (Date: 2005/09/07) \u000a                      * Spot 5 2,50 m - 00182784032 (XS) (Date: 2006/07/27) \u000a                      * Spot 5 2,50 m - 00182784033 (XS) (Date: 2005/10/13) \u000a                      * Spot 5 2,50 m - 00182784038(XS) (Date: 2006/07/26) \u000a                      * Spot 5 2,50 m - 00182784039 (XS) (Date: 2007/06/08) \u000a                      * Spot 5 2,50 m - 00182793030 (P) (Date: 2005/09/07) \u000a                      * Spot 5 2,50 m - 00182793031 (P) (Date: 2006/07/27) \u000a                      * Spot 5 2,50 m - 00182793032 (P) (Date: 2005/10/13) \u000a                      * Spot 5 2,50 m - 00182793038 (P) (Date: 2006/07/26) \u000a                      * Spot 5 2,50 m - 00182793039 (P) (Date: 2007/06/08)
p16082
sbg8
(g9
g10
NtRp16083
(dp16084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5737e2a-4947-40e4-8d58-12c0fc72a573
p16085
sbg8
(g9
g10
NtRp16086
(dp16087
g13
Nsg14
g74
sg15
V2005
p16088
sbg8
(g9
g10
NtRp16089
(dp16090
g13
Nsg14
g74
sg15
V2007
p16091
sbg8
(g9
g10
NtRp16092
(dp16093
g13
Nsg14
Nsg15
VTRUE
p16094
sbg8
(g9
g10
NtRp16095
(dp16096
g13
Nsg14
Nsg15
VEstonia|Land use|Tallinn
p16097
sbg8
(g9
g10
NtRp16098
(dp16099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16100
sbg8
(g9
g10
NtRp16101
(dp16102
g13
Nsg14
Nsg15
VFALSE
p16103
sbNg8
(g9
g10
NtRp16104
(dp16105
g13
Nsg14
Nsg15
VFALSE
p16106
sbNNNNNNNg8
(g9
g10
NtRp16107
(dp16108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16109
(dp16110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16111
(dp16112
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ee001l_tallinn_2005-2007
p16113
sbNg8
(g9
g10
NtRp16114
(dp16115
g13
Nsg14
Nsg15
Vobsolete
p16116
sbtp16117
a(g8
(g9
g10
NtRp16118
(dp16119
g13
Nsg14
Nsg15
Vc7babf2b-4a12-40d6-937f-97c86e9fd8ba
p16120
sbNg8
(g9
g10
NtRp16121
(dp16122
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Gorzów Wielkopolski
p16123
sbNNNNNg8
(g9
g10
NtRp16124
(dp16125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16126
sbg8
(g23
g10
NtRp16127
(dp16128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16129
sbNg8
(g9
g10
NtRp16130
(dp16131
g13
Nsg14
Nsg15
VFALSE
p16132
sbNNNg8
(g9
g10
NtRp16133
(dp16134
g13
Nsg14
Nsg15
VFALSE
p16135
sbNNg8
(g9
g10
NtRp16136
(dp16137
g13
Nsg14
Nsg15
VFALSE
p16138
sbNNg8
(g9
g10
NtRp16139
(dp16140
g13
Nsg14
Nsg15
VFALSE
p16141
sbNg8
(g9
g10
NtRp16142
(dp16143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7babf2b-4a12-40d6-937f-97c86e9fd8ba.png
p16144
sbNg8
(g9
g10
NtRp16145
(dp16146
g13
Nsg14
Nsg15
V2019-06-04
p16147
sbNNg8
(g9
g10
NtRp16148
(dp16149
g13
Nsg14
Nsg15
Vland use|urban area
p16150
sbg8
(g9
g10
NtRp16151
(dp16152
g13
Nsg14
Nsg15
Vvector
p16153
sbg8
(g9
g10
NtRp16154
(dp16155
g13
Nsg14
Nsg15
VSHP
p16156
sbNg8
(g9
g10
NtRp16157
(dp16158
g13
Nsg14
Nsg15
V1:10000
p16159
sbNg8
(g9
g10
NtRp16160
(dp16161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50622430510140946541B0 (PS) (Date: 2005/10/14) \u000a                      * Spot 5 2,50 m - 50622430609111002301B0 (PS) (Date: 2006/09/11)
p16162
sbg8
(g9
g10
NtRp16163
(dp16164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c7babf2b-4a12-40d6-937f-97c86e9fd8ba
p16165
sbg8
(g9
g10
NtRp16166
(dp16167
g13
Nsg14
g74
sg15
V2005
p16168
sbg8
(g9
g10
NtRp16169
(dp16170
g13
Nsg14
g74
sg15
V2006
p16171
sbg8
(g9
g10
NtRp16172
(dp16173
g13
Nsg14
Nsg15
VTRUE
p16174
sbg8
(g9
g10
NtRp16175
(dp16176
g13
Nsg14
Nsg15
VGorzów Wielkopolski|Land use|Poland
p16177
sbg8
(g9
g10
NtRp16178
(dp16179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16180
sbg8
(g9
g10
NtRp16181
(dp16182
g13
Nsg14
Nsg15
VFALSE
p16183
sbNg8
(g9
g10
NtRp16184
(dp16185
g13
Nsg14
Nsg15
VFALSE
p16186
sbNNNNNNNg8
(g9
g10
NtRp16187
(dp16188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16189
(dp16190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16191
(dp16192
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl017l_gorzow_wielkopolski_2005-2006
p16193
sbNg8
(g9
g10
NtRp16194
(dp16195
g13
Nsg14
Nsg15
Vobsolete
p16196
sbtp16197
a(g8
(g9
g10
NtRp16198
(dp16199
g13
Nsg14
Nsg15
V3e121111-aef1-4cbf-810d-b53fd95968ac
p16200
sbNg8
(g9
g10
NtRp16201
(dp16202
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Saarbrücken
p16203
sbNNNNNg8
(g9
g10
NtRp16204
(dp16205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16206
sbg8
(g23
g10
NtRp16207
(dp16208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16209
sbNg8
(g9
g10
NtRp16210
(dp16211
g13
Nsg14
Nsg15
VFALSE
p16212
sbNNNg8
(g9
g10
NtRp16213
(dp16214
g13
Nsg14
Nsg15
VFALSE
p16215
sbNNg8
(g9
g10
NtRp16216
(dp16217
g13
Nsg14
Nsg15
VFALSE
p16218
sbNNg8
(g9
g10
NtRp16219
(dp16220
g13
Nsg14
Nsg15
VFALSE
p16221
sbNg8
(g9
g10
NtRp16222
(dp16223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e121111-aef1-4cbf-810d-b53fd95968ac.png
p16224
sbNg8
(g9
g10
NtRp16225
(dp16226
g13
Nsg14
Nsg15
V2019-06-04
p16227
sbNNg8
(g9
g10
NtRp16228
(dp16229
g13
Nsg14
Nsg15
Vland use|urban area
p16230
sbg8
(g9
g10
NtRp16231
(dp16232
g13
Nsg14
Nsg15
Vvector
p16233
sbg8
(g9
g10
NtRp16234
(dp16235
g13
Nsg14
Nsg15
VSHP
p16236
sbNg8
(g9
g10
NtRp16237
(dp16238
g13
Nsg14
Nsg15
V1:10000
p16239
sbNg8
(g9
g10
NtRp16240
(dp16241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50482500505281103382B0 (PS) (Date: 2005/05/28) \u000a                      * Spot 5 2,50 m - 50492500506191040111B3 (PS) (Date: 2005/06/19)
p16242
sbg8
(g9
g10
NtRp16243
(dp16244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e121111-aef1-4cbf-810d-b53fd95968ac
p16245
sbg8
(g9
g10
NtRp16246
(dp16247
g13
Nsg14
g74
sg15
V2005
p16248
sbg8
(g9
g10
NtRp16249
(dp16250
g13
Nsg14
g74
sg15
V2005
p16251
sbg8
(g9
g10
NtRp16252
(dp16253
g13
Nsg14
Nsg15
VFALSE
p16254
sbg8
(g9
g10
NtRp16255
(dp16256
g13
Nsg14
Nsg15
VGermany|Land use|Saarbrücken
p16257
sbg8
(g9
g10
NtRp16258
(dp16259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16260
sbg8
(g9
g10
NtRp16261
(dp16262
g13
Nsg14
Nsg15
VFALSE
p16263
sbNg8
(g9
g10
NtRp16264
(dp16265
g13
Nsg14
Nsg15
VFALSE
p16266
sbNNNNNNNg8
(g9
g10
NtRp16267
(dp16268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16269
(dp16270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16271
(dp16272
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de040l_saarbrucken_2005
p16273
sbNg8
(g9
g10
NtRp16274
(dp16275
g13
Nsg14
Nsg15
Vobsolete
p16276
sbtp16277
a(g8
(g9
g10
NtRp16278
(dp16279
g13
Nsg14
Nsg15
Vb41f6f41-00f5-4475-9073-dbfe3f10d2a4
p16280
sbNg8
(g9
g10
NtRp16281
(dp16282
g13
Nsg14
Nsg15
VUrban Atlas - Malta - Valletta
p16283
sbNNNNNg8
(g9
g10
NtRp16284
(dp16285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16286
sbg8
(g23
g10
NtRp16287
(dp16288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16289
sbNg8
(g9
g10
NtRp16290
(dp16291
g13
Nsg14
Nsg15
VFALSE
p16292
sbNNNg8
(g9
g10
NtRp16293
(dp16294
g13
Nsg14
Nsg15
VFALSE
p16295
sbNNg8
(g9
g10
NtRp16296
(dp16297
g13
Nsg14
Nsg15
VFALSE
p16298
sbNNg8
(g9
g10
NtRp16299
(dp16300
g13
Nsg14
Nsg15
VFALSE
p16301
sbNg8
(g9
g10
NtRp16302
(dp16303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b41f6f41-00f5-4475-9073-dbfe3f10d2a4.png
p16304
sbNg8
(g9
g10
NtRp16305
(dp16306
g13
Nsg14
Nsg15
V2019-06-04
p16307
sbNNg8
(g9
g10
NtRp16308
(dp16309
g13
Nsg14
Nsg15
Vland use|urban area
p16310
sbg8
(g9
g10
NtRp16311
(dp16312
g13
Nsg14
Nsg15
Vvector
p16313
sbg8
(g9
g10
NtRp16314
(dp16315
g13
Nsg14
Nsg15
VSHP
p16316
sbNg8
(g9
g10
NtRp16317
(dp16318
g13
Nsg14
Nsg15
V1:10000
p16319
sbNg8
(g9
g10
NtRp16320
(dp16321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070508_095627_DLR_6846_PREU (XS) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_095414_DLR_7940_PREU (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080423_095136_DLR_11966_PREU (P) (Date: 2008/04/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080510_095323_DLR_12214_PREU (P) (Date: 2008/05/10)
p16322
sbg8
(g9
g10
NtRp16323
(dp16324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b41f6f41-00f5-4475-9073-dbfe3f10d2a4
p16325
sbg8
(g9
g10
NtRp16326
(dp16327
g13
Nsg14
g74
sg15
V2007
p16328
sbg8
(g9
g10
NtRp16329
(dp16330
g13
Nsg14
g74
sg15
V2008
p16331
sbg8
(g9
g10
NtRp16332
(dp16333
g13
Nsg14
Nsg15
VTRUE
p16334
sbg8
(g9
g10
NtRp16335
(dp16336
g13
Nsg14
Nsg15
VLand use|Malta|Valletta
p16337
sbg8
(g9
g10
NtRp16338
(dp16339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16340
sbg8
(g9
g10
NtRp16341
(dp16342
g13
Nsg14
Nsg15
VFALSE
p16343
sbNg8
(g9
g10
NtRp16344
(dp16345
g13
Nsg14
Nsg15
VFALSE
p16346
sbNNNNNNNg8
(g9
g10
NtRp16347
(dp16348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16349
(dp16350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16351
(dp16352
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-mt001l_valletta_2007-2008
p16353
sbNg8
(g9
g10
NtRp16354
(dp16355
g13
Nsg14
Nsg15
Vobsolete
p16356
sbtp16357
a(g8
(g9
g10
NtRp16358
(dp16359
g13
Nsg14
Nsg15
V69704f5d-fd59-4a9f-a339-e9b3bae62564
p16360
sbNg8
(g9
g10
NtRp16361
(dp16362
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Volos (\u0392\u03cc\u03bb\u03bf\u03c2)
p16363
sbNNNNNg8
(g9
g10
NtRp16364
(dp16365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16366
sbg8
(g23
g10
NtRp16367
(dp16368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16369
sbNg8
(g9
g10
NtRp16370
(dp16371
g13
Nsg14
Nsg15
VFALSE
p16372
sbNNNg8
(g9
g10
NtRp16373
(dp16374
g13
Nsg14
Nsg15
VFALSE
p16375
sbNNg8
(g9
g10
NtRp16376
(dp16377
g13
Nsg14
Nsg15
VFALSE
p16378
sbNNg8
(g9
g10
NtRp16379
(dp16380
g13
Nsg14
Nsg15
VFALSE
p16381
sbNg8
(g9
g10
NtRp16382
(dp16383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/69704f5d-fd59-4a9f-a339-e9b3bae62564.png
p16384
sbNg8
(g9
g10
NtRp16385
(dp16386
g13
Nsg14
Nsg15
V2019-06-04
p16387
sbNNg8
(g9
g10
NtRp16388
(dp16389
g13
Nsg14
Nsg15
Vland use|urban area
p16390
sbg8
(g9
g10
NtRp16391
(dp16392
g13
Nsg14
Nsg15
Vvector
p16393
sbg8
(g9
g10
NtRp16394
(dp16395
g13
Nsg14
Nsg15
VSHP
p16396
sbNg8
(g9
g10
NtRp16397
(dp16398
g13
Nsg14
Nsg15
V1:10000
p16399
sbNg8
(g9
g10
NtRp16400
(dp16401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070615_092526_DLR_7400_PREU (XS) (Date: 2007/06/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080502_092231_DLR_12097_PREU (P) (Date: 2008/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080502_092235_DLR_12097_PREU (P) (Date: 2008/05/02)
p16402
sbg8
(g9
g10
NtRp16403
(dp16404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69704f5d-fd59-4a9f-a339-e9b3bae62564
p16405
sbg8
(g9
g10
NtRp16406
(dp16407
g13
Nsg14
g74
sg15
V2007
p16408
sbg8
(g9
g10
NtRp16409
(dp16410
g13
Nsg14
g74
sg15
V2008
p16411
sbg8
(g9
g10
NtRp16412
(dp16413
g13
Nsg14
Nsg15
VTRUE
p16414
sbg8
(g9
g10
NtRp16415
(dp16416
g13
Nsg14
Nsg15
VGreece|Land use|Volos
p16417
sbg8
(g9
g10
NtRp16418
(dp16419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16420
sbg8
(g9
g10
NtRp16421
(dp16422
g13
Nsg14
Nsg15
VFALSE
p16423
sbNg8
(g9
g10
NtRp16424
(dp16425
g13
Nsg14
Nsg15
VFALSE
p16426
sbNNNNNNNg8
(g9
g10
NtRp16427
(dp16428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16429
(dp16430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16431
(dp16432
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr006l_volos_2007-2008
p16433
sbNg8
(g9
g10
NtRp16434
(dp16435
g13
Nsg14
Nsg15
Vobsolete
p16436
sbtp16437
a(g8
(g9
g10
NtRp16438
(dp16439
g13
Nsg14
Nsg15
V2de25ef0-1fc6-4d65-ba1f-676c93b9fb51
p16440
sbNg8
(g9
g10
NtRp16441
(dp16442
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Heraklion (\u0397\u03c1\u03ac\u03ba\u03bb\u03b5\u03b9\u03bf)
p16443
sbNNNNNg8
(g9
g10
NtRp16444
(dp16445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16446
sbg8
(g23
g10
NtRp16447
(dp16448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16449
sbNg8
(g9
g10
NtRp16450
(dp16451
g13
Nsg14
Nsg15
VFALSE
p16452
sbNNNg8
(g9
g10
NtRp16453
(dp16454
g13
Nsg14
Nsg15
VFALSE
p16455
sbNNg8
(g9
g10
NtRp16456
(dp16457
g13
Nsg14
Nsg15
VFALSE
p16458
sbNNg8
(g9
g10
NtRp16459
(dp16460
g13
Nsg14
Nsg15
VFALSE
p16461
sbNg8
(g9
g10
NtRp16462
(dp16463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2de25ef0-1fc6-4d65-ba1f-676c93b9fb51.png
p16464
sbNg8
(g9
g10
NtRp16465
(dp16466
g13
Nsg14
Nsg15
V2019-06-04
p16467
sbNNg8
(g9
g10
NtRp16468
(dp16469
g13
Nsg14
Nsg15
Vland use|urban area
p16470
sbg8
(g9
g10
NtRp16471
(dp16472
g13
Nsg14
Nsg15
Vvector
p16473
sbg8
(g9
g10
NtRp16474
(dp16475
g13
Nsg14
Nsg15
VSHP
p16476
sbNg8
(g9
g10
NtRp16477
(dp16478
g13
Nsg14
Nsg15
V1:10000
p16479
sbNg8
(g9
g10
NtRp16480
(dp16481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070704_091128_DLR_7677_PREU (MS) (Date: 2007/07/04) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080607_091009_DLR_12622_PREU (MS) (Date: 2008/06/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070704_091128_DLR_7677_PREU (P) (Date: 2007/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20071004_091109_DLR_9019_PREU (P) (Date: 2007/10/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080607_091005_DLR_12622_PREU (P) (Date: 2008/06/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080607_091009_DLR_12622_PREU (P) (Date: 2008/06/07)
p16482
sbg8
(g9
g10
NtRp16483
(dp16484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2de25ef0-1fc6-4d65-ba1f-676c93b9fb51
p16485
sbg8
(g9
g10
NtRp16486
(dp16487
g13
Nsg14
g74
sg15
V2007
p16488
sbg8
(g9
g10
NtRp16489
(dp16490
g13
Nsg14
g74
sg15
V2008
p16491
sbg8
(g9
g10
NtRp16492
(dp16493
g13
Nsg14
Nsg15
VTRUE
p16494
sbg8
(g9
g10
NtRp16495
(dp16496
g13
Nsg14
Nsg15
VGreece|Heraklion|Land use
p16497
sbg8
(g9
g10
NtRp16498
(dp16499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16500
sbg8
(g9
g10
NtRp16501
(dp16502
g13
Nsg14
Nsg15
VFALSE
p16503
sbNg8
(g9
g10
NtRp16504
(dp16505
g13
Nsg14
Nsg15
VFALSE
p16506
sbNNNNNNNg8
(g9
g10
NtRp16507
(dp16508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16509
(dp16510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16511
(dp16512
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-gr004l_iraklion_2007-2008
p16513
sbNg8
(g9
g10
NtRp16514
(dp16515
g13
Nsg14
Nsg15
Vobsolete
p16516
sbtp16517
a(g8
(g9
g10
NtRp16518
(dp16519
g13
Nsg14
Nsg15
V01000d62-1669-49c8-8ffa-24df1f857b51
p16520
sbNg8
(g9
g10
NtRp16521
(dp16522
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Charleroi
p16523
sbNNNNNg8
(g9
g10
NtRp16524
(dp16525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16526
sbg8
(g23
g10
NtRp16527
(dp16528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16529
sbNg8
(g9
g10
NtRp16530
(dp16531
g13
Nsg14
Nsg15
VFALSE
p16532
sbNNNg8
(g9
g10
NtRp16533
(dp16534
g13
Nsg14
Nsg15
VFALSE
p16535
sbNNg8
(g9
g10
NtRp16536
(dp16537
g13
Nsg14
Nsg15
VFALSE
p16538
sbNNg8
(g9
g10
NtRp16539
(dp16540
g13
Nsg14
Nsg15
VFALSE
p16541
sbNg8
(g9
g10
NtRp16542
(dp16543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/01000d62-1669-49c8-8ffa-24df1f857b51.png
p16544
sbNg8
(g9
g10
NtRp16545
(dp16546
g13
Nsg14
Nsg15
V2019-06-04
p16547
sbNNg8
(g9
g10
NtRp16548
(dp16549
g13
Nsg14
Nsg15
Vland use|urban area
p16550
sbg8
(g9
g10
NtRp16551
(dp16552
g13
Nsg14
Nsg15
Vvector
p16553
sbg8
(g9
g10
NtRp16554
(dp16555
g13
Nsg14
Nsg15
VSHP
p16556
sbNg8
(g9
g10
NtRp16557
(dp16558
g13
Nsg14
Nsg15
V1:10000
p16559
sbNg8
(g9
g10
NtRp16560
(dp16561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538014 (PS) (Date: 2005/08/29)
p16562
sbg8
(g9
g10
NtRp16563
(dp16564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01000d62-1669-49c8-8ffa-24df1f857b51
p16565
sbg8
(g9
g10
NtRp16566
(dp16567
g13
Nsg14
g74
sg15
V2005
p16568
sbg8
(g9
g10
NtRp16569
(dp16570
g13
Nsg14
g74
sg15
V2005
p16571
sbg8
(g9
g10
NtRp16572
(dp16573
g13
Nsg14
Nsg15
VFALSE
p16574
sbg8
(g9
g10
NtRp16575
(dp16576
g13
Nsg14
Nsg15
VBelgium|Charleroi|Land use
p16577
sbg8
(g9
g10
NtRp16578
(dp16579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16580
sbg8
(g9
g10
NtRp16581
(dp16582
g13
Nsg14
Nsg15
VFALSE
p16583
sbNg8
(g9
g10
NtRp16584
(dp16585
g13
Nsg14
Nsg15
VFALSE
p16586
sbNNNNNNNg8
(g9
g10
NtRp16587
(dp16588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16589
(dp16590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16591
(dp16592
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be004l_charleroi_2005
p16593
sbNg8
(g9
g10
NtRp16594
(dp16595
g13
Nsg14
Nsg15
Vobsolete
p16596
sbtp16597
a(g8
(g9
g10
NtRp16598
(dp16599
g13
Nsg14
Nsg15
V04c8ef74-d29e-415d-9a45-3ac71b339800
p16600
sbNg8
(g9
g10
NtRp16601
(dp16602
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Koblenz
p16603
sbNNNNNg8
(g9
g10
NtRp16604
(dp16605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16606
sbg8
(g23
g10
NtRp16607
(dp16608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16609
sbNg8
(g9
g10
NtRp16610
(dp16611
g13
Nsg14
Nsg15
VFALSE
p16612
sbNNNg8
(g9
g10
NtRp16613
(dp16614
g13
Nsg14
Nsg15
VFALSE
p16615
sbNNg8
(g9
g10
NtRp16616
(dp16617
g13
Nsg14
Nsg15
VFALSE
p16618
sbNNg8
(g9
g10
NtRp16619
(dp16620
g13
Nsg14
Nsg15
VFALSE
p16621
sbNg8
(g9
g10
NtRp16622
(dp16623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/04c8ef74-d29e-415d-9a45-3ac71b339800.png
p16624
sbNg8
(g9
g10
NtRp16625
(dp16626
g13
Nsg14
Nsg15
V2019-06-04
p16627
sbNNg8
(g9
g10
NtRp16628
(dp16629
g13
Nsg14
Nsg15
Vland use|urban area
p16630
sbg8
(g9
g10
NtRp16631
(dp16632
g13
Nsg14
Nsg15
Vvector
p16633
sbg8
(g9
g10
NtRp16634
(dp16635
g13
Nsg14
Nsg15
VSHP
p16636
sbNg8
(g9
g10
NtRp16637
(dp16638
g13
Nsg14
Nsg15
V1:10000
p16639
sbNg8
(g9
g10
NtRp16640
(dp16641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50482480607141038081B0 (PS) (Date: 2006/07/14) \u000a                      * Spot 5 2,50 m - 50492470703111021401B7 (PS) (Date: 2007/03/11) \u000a                      * ALOS 2,5 m - AL_AV2_X_20080701_103603_DLR_12973_PRUTM (XS) (Date: 2008/07/01) \u000a                      * ALOS 2,5 m - AL_AV2_X_20080701_103611_DLR_12973_PRUTM (XS) (Date: 2008/07/01) \u000a                      * ALOS 2,5 m - AL_PSM_P_20080701_103603_DLR_12973_PRUTM (P) (Date: 2008/07/01) \u000a                      * ALOS 2,5 m - AL_PSM_P_20080701_103607_DLR_12973_PRUTM (P) (Date: 2008/07/01)
p16642
sbg8
(g9
g10
NtRp16643
(dp16644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/04c8ef74-d29e-415d-9a45-3ac71b339800
p16645
sbg8
(g9
g10
NtRp16646
(dp16647
g13
Nsg14
g74
sg15
V2006
p16648
sbg8
(g9
g10
NtRp16649
(dp16650
g13
Nsg14
g74
sg15
V2008
p16651
sbg8
(g9
g10
NtRp16652
(dp16653
g13
Nsg14
Nsg15
VTRUE
p16654
sbg8
(g9
g10
NtRp16655
(dp16656
g13
Nsg14
Nsg15
VGermany|Koblenz|Land use
p16657
sbg8
(g9
g10
NtRp16658
(dp16659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16660
sbg8
(g9
g10
NtRp16661
(dp16662
g13
Nsg14
Nsg15
VFALSE
p16663
sbNg8
(g9
g10
NtRp16664
(dp16665
g13
Nsg14
Nsg15
VFALSE
p16666
sbNNNNNNNg8
(g9
g10
NtRp16667
(dp16668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16669
(dp16670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16671
(dp16672
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de042l_koblenz_2006-2008
p16673
sbNg8
(g9
g10
NtRp16674
(dp16675
g13
Nsg14
Nsg15
Vobsolete
p16676
sbtp16677
a(g8
(g9
g10
NtRp16678
(dp16679
g13
Nsg14
Nsg15
Vafa92aa0-1a59-41ca-a4af-97b2574d221c
p16680
sbNg8
(g9
g10
NtRp16681
(dp16682
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Weimar
p16683
sbNNNNNg8
(g9
g10
NtRp16684
(dp16685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16686
sbg8
(g23
g10
NtRp16687
(dp16688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16689
sbNg8
(g9
g10
NtRp16690
(dp16691
g13
Nsg14
Nsg15
VFALSE
p16692
sbNNNg8
(g9
g10
NtRp16693
(dp16694
g13
Nsg14
Nsg15
VFALSE
p16695
sbNNg8
(g9
g10
NtRp16696
(dp16697
g13
Nsg14
Nsg15
VFALSE
p16698
sbNNg8
(g9
g10
NtRp16699
(dp16700
g13
Nsg14
Nsg15
VFALSE
p16701
sbNg8
(g9
g10
NtRp16702
(dp16703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/afa92aa0-1a59-41ca-a4af-97b2574d221c.png
p16704
sbNg8
(g9
g10
NtRp16705
(dp16706
g13
Nsg14
Nsg15
V2019-06-04
p16707
sbNNg8
(g9
g10
NtRp16708
(dp16709
g13
Nsg14
Nsg15
Vland use|urban area
p16710
sbg8
(g9
g10
NtRp16711
(dp16712
g13
Nsg14
Nsg15
Vvector
p16713
sbg8
(g9
g10
NtRp16714
(dp16715
g13
Nsg14
Nsg15
VSHP
p16716
sbNg8
(g9
g10
NtRp16717
(dp16718
g13
Nsg14
Nsg15
V1:10000
p16719
sbNg8
(g9
g10
NtRp16720
(dp16721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572460507111015562B8 (P) (Date: 2005/07/11) \u000a                      * Spot 5 2,50 m - 50572470507111016042B0 (P) (Date: 2005/07/11) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094403_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070504_102629_DLR_6788_PRUTM (P) (Date: 2007/05/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070504_102633_DLR_6788_PRUTM (P) (Date: 2007/05/04)
p16722
sbg8
(g9
g10
NtRp16723
(dp16724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/afa92aa0-1a59-41ca-a4af-97b2574d221c
p16725
sbg8
(g9
g10
NtRp16726
(dp16727
g13
Nsg14
g74
sg15
V2005
p16728
sbg8
(g9
g10
NtRp16729
(dp16730
g13
Nsg14
g74
sg15
V2007
p16731
sbg8
(g9
g10
NtRp16732
(dp16733
g13
Nsg14
Nsg15
VTRUE
p16734
sbg8
(g9
g10
NtRp16735
(dp16736
g13
Nsg14
Nsg15
VGermany|Land use|Weimar
p16737
sbg8
(g9
g10
NtRp16738
(dp16739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16740
sbg8
(g9
g10
NtRp16741
(dp16742
g13
Nsg14
Nsg15
VFALSE
p16743
sbNg8
(g9
g10
NtRp16744
(dp16745
g13
Nsg14
Nsg15
VFALSE
p16746
sbNNNNNNNg8
(g9
g10
NtRp16747
(dp16748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16749
(dp16750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16751
(dp16752
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de030l_weimar_2005-2007
p16753
sbNg8
(g9
g10
NtRp16754
(dp16755
g13
Nsg14
Nsg15
Vobsolete
p16756
sbtp16757
a(g8
(g9
g10
NtRp16758
(dp16759
g13
Nsg14
Nsg15
Vf2c50658-8871-405f-9c7c-434e255f4aca
p16760
sbNg8
(g9
g10
NtRp16761
(dp16762
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Ústí nad Labem
p16763
sbNNNNNg8
(g9
g10
NtRp16764
(dp16765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16766
sbg8
(g23
g10
NtRp16767
(dp16768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16769
sbNg8
(g9
g10
NtRp16770
(dp16771
g13
Nsg14
Nsg15
VFALSE
p16772
sbNNNg8
(g9
g10
NtRp16773
(dp16774
g13
Nsg14
Nsg15
VFALSE
p16775
sbNNg8
(g9
g10
NtRp16776
(dp16777
g13
Nsg14
Nsg15
VFALSE
p16778
sbNNg8
(g9
g10
NtRp16779
(dp16780
g13
Nsg14
Nsg15
VFALSE
p16781
sbNg8
(g9
g10
NtRp16782
(dp16783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f2c50658-8871-405f-9c7c-434e255f4aca.png
p16784
sbNg8
(g9
g10
NtRp16785
(dp16786
g13
Nsg14
Nsg15
V2019-06-04
p16787
sbNNg8
(g9
g10
NtRp16788
(dp16789
g13
Nsg14
Nsg15
Vland use|urban area
p16790
sbg8
(g9
g10
NtRp16791
(dp16792
g13
Nsg14
Nsg15
Vvector
p16793
sbg8
(g9
g10
NtRp16794
(dp16795
g13
Nsg14
Nsg15
VSHP
p16796
sbNg8
(g9
g10
NtRp16797
(dp16798
g13
Nsg14
Nsg15
V1:10000
p16799
sbNg8
(g9
g10
NtRp16800
(dp16801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538019 (PS) (Date: 2005/09/21) \u000a                      * Spot 5 2,50 m - 00183538065 (PS) (Date: 2007/09/30)
p16802
sbg8
(g9
g10
NtRp16803
(dp16804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f2c50658-8871-405f-9c7c-434e255f4aca
p16805
sbg8
(g9
g10
NtRp16806
(dp16807
g13
Nsg14
g74
sg15
V2005
p16808
sbg8
(g9
g10
NtRp16809
(dp16810
g13
Nsg14
g74
sg15
V2007
p16811
sbg8
(g9
g10
NtRp16812
(dp16813
g13
Nsg14
Nsg15
VTRUE
p16814
sbg8
(g9
g10
NtRp16815
(dp16816
g13
Nsg14
Nsg15
VCzechia|Land use|Ústí nad Labem
p16817
sbg8
(g9
g10
NtRp16818
(dp16819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16820
sbg8
(g9
g10
NtRp16821
(dp16822
g13
Nsg14
Nsg15
VFALSE
p16823
sbNg8
(g9
g10
NtRp16824
(dp16825
g13
Nsg14
Nsg15
VFALSE
p16826
sbNNNNNNNg8
(g9
g10
NtRp16827
(dp16828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16829
(dp16830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16831
(dp16832
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz005l_usti_nad_labem_2005-2007
p16833
sbNg8
(g9
g10
NtRp16834
(dp16835
g13
Nsg14
Nsg15
Vobsolete
p16836
sbtp16837
a(g8
(g9
g10
NtRp16838
(dp16839
g13
Nsg14
Nsg15
V47a26fe5-2a3e-4b12-9949-7a84770b8f86
p16840
sbNg8
(g9
g10
NtRp16841
(dp16842
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Jelenia Góra
p16843
sbNNNNNg8
(g9
g10
NtRp16844
(dp16845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16846
sbg8
(g23
g10
NtRp16847
(dp16848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16849
sbNg8
(g9
g10
NtRp16850
(dp16851
g13
Nsg14
Nsg15
VFALSE
p16852
sbNNNg8
(g9
g10
NtRp16853
(dp16854
g13
Nsg14
Nsg15
VFALSE
p16855
sbNNg8
(g9
g10
NtRp16856
(dp16857
g13
Nsg14
Nsg15
VFALSE
p16858
sbNNg8
(g9
g10
NtRp16859
(dp16860
g13
Nsg14
Nsg15
VFALSE
p16861
sbNg8
(g9
g10
NtRp16862
(dp16863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/47a26fe5-2a3e-4b12-9949-7a84770b8f86.png
p16864
sbNg8
(g9
g10
NtRp16865
(dp16866
g13
Nsg14
Nsg15
V2019-06-04
p16867
sbNNg8
(g9
g10
NtRp16868
(dp16869
g13
Nsg14
Nsg15
Vland use|urban area
p16870
sbg8
(g9
g10
NtRp16871
(dp16872
g13
Nsg14
Nsg15
Vvector
p16873
sbg8
(g9
g10
NtRp16874
(dp16875
g13
Nsg14
Nsg15
VSHP
p16876
sbNg8
(g9
g10
NtRp16877
(dp16878
g13
Nsg14
Nsg15
V1:10000
p16879
sbNg8
(g9
g10
NtRp16880
(dp16881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652470709241029441B0 (PS) (Date: 2007/09/24)
p16882
sbg8
(g9
g10
NtRp16883
(dp16884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47a26fe5-2a3e-4b12-9949-7a84770b8f86
p16885
sbg8
(g9
g10
NtRp16886
(dp16887
g13
Nsg14
g74
sg15
V2007
p16888
sbg8
(g9
g10
NtRp16889
(dp16890
g13
Nsg14
g74
sg15
V2007
p16891
sbg8
(g9
g10
NtRp16892
(dp16893
g13
Nsg14
Nsg15
VFALSE
p16894
sbg8
(g9
g10
NtRp16895
(dp16896
g13
Nsg14
Nsg15
VJelenia Góra|Land use|Poland
p16897
sbg8
(g9
g10
NtRp16898
(dp16899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16900
sbg8
(g9
g10
NtRp16901
(dp16902
g13
Nsg14
Nsg15
VFALSE
p16903
sbNg8
(g9
g10
NtRp16904
(dp16905
g13
Nsg14
Nsg15
VFALSE
p16906
sbNNNNNNNg8
(g9
g10
NtRp16907
(dp16908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16909
(dp16910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16911
(dp16912
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl019l_jelenia_gora_2007
p16913
sbNg8
(g9
g10
NtRp16914
(dp16915
g13
Nsg14
Nsg15
Vobsolete
p16916
sbtp16917
a(g8
(g9
g10
NtRp16918
(dp16919
g13
Nsg14
Nsg15
V21cf15c5-ab72-4bd2-8ad4-74be6193864a
p16920
sbNg8
(g9
g10
NtRp16921
(dp16922
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Banská Bystrica
p16923
sbNNNNNg8
(g9
g10
NtRp16924
(dp16925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p16926
sbg8
(g23
g10
NtRp16927
(dp16928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p16929
sbNg8
(g9
g10
NtRp16930
(dp16931
g13
Nsg14
Nsg15
VFALSE
p16932
sbNNNg8
(g9
g10
NtRp16933
(dp16934
g13
Nsg14
Nsg15
VFALSE
p16935
sbNNg8
(g9
g10
NtRp16936
(dp16937
g13
Nsg14
Nsg15
VFALSE
p16938
sbNNg8
(g9
g10
NtRp16939
(dp16940
g13
Nsg14
Nsg15
VFALSE
p16941
sbNg8
(g9
g10
NtRp16942
(dp16943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/21cf15c5-ab72-4bd2-8ad4-74be6193864a.png
p16944
sbNg8
(g9
g10
NtRp16945
(dp16946
g13
Nsg14
Nsg15
V2019-06-04
p16947
sbNNg8
(g9
g10
NtRp16948
(dp16949
g13
Nsg14
Nsg15
Vland use|urban area
p16950
sbg8
(g9
g10
NtRp16951
(dp16952
g13
Nsg14
Nsg15
Vvector
p16953
sbg8
(g9
g10
NtRp16954
(dp16955
g13
Nsg14
Nsg15
VSHP
p16956
sbNg8
(g9
g10
NtRp16957
(dp16958
g13
Nsg14
Nsg15
V1:10000
p16959
sbNg8
(g9
g10
NtRp16960
(dp16961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186393008 (PS) (Date: 2007/09/25)
p16962
sbg8
(g9
g10
NtRp16963
(dp16964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/21cf15c5-ab72-4bd2-8ad4-74be6193864a
p16965
sbg8
(g9
g10
NtRp16966
(dp16967
g13
Nsg14
g74
sg15
V2007
p16968
sbg8
(g9
g10
NtRp16969
(dp16970
g13
Nsg14
g74
sg15
V2007
p16971
sbg8
(g9
g10
NtRp16972
(dp16973
g13
Nsg14
Nsg15
VFALSE
p16974
sbg8
(g9
g10
NtRp16975
(dp16976
g13
Nsg14
Nsg15
VBanská Bystrica|Land use|Slovakia
p16977
sbg8
(g9
g10
NtRp16978
(dp16979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p16980
sbg8
(g9
g10
NtRp16981
(dp16982
g13
Nsg14
Nsg15
VFALSE
p16983
sbNg8
(g9
g10
NtRp16984
(dp16985
g13
Nsg14
Nsg15
VFALSE
p16986
sbNNNNNNNg8
(g9
g10
NtRp16987
(dp16988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp16989
(dp16990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp16991
(dp16992
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk003l_banska_bystrica_2007
p16993
sbNg8
(g9
g10
NtRp16994
(dp16995
g13
Nsg14
Nsg15
Vobsolete
p16996
sbtp16997
a(g8
(g9
g10
NtRp16998
(dp16999
g13
Nsg14
Nsg15
Vd12567a1-34c5-482f-898f-01b40c3f54d8
p17000
sbNg8
(g9
g10
NtRp17001
(dp17002
g13
Nsg14
Nsg15
VUrban Atlas - Ireland - Galway (Gaillimh)
p17003
sbNNNNNg8
(g9
g10
NtRp17004
(dp17005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17006
sbg8
(g23
g10
NtRp17007
(dp17008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17009
sbNg8
(g9
g10
NtRp17010
(dp17011
g13
Nsg14
Nsg15
VFALSE
p17012
sbNNNg8
(g9
g10
NtRp17013
(dp17014
g13
Nsg14
Nsg15
VFALSE
p17015
sbNNg8
(g9
g10
NtRp17016
(dp17017
g13
Nsg14
Nsg15
VFALSE
p17018
sbNNg8
(g9
g10
NtRp17019
(dp17020
g13
Nsg14
Nsg15
VFALSE
p17021
sbNg8
(g9
g10
NtRp17022
(dp17023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d12567a1-34c5-482f-898f-01b40c3f54d8.png
p17024
sbNg8
(g9
g10
NtRp17025
(dp17026
g13
Nsg14
Nsg15
V2019-06-04
p17027
sbNNg8
(g9
g10
NtRp17028
(dp17029
g13
Nsg14
Nsg15
Vland use|urban area
p17030
sbg8
(g9
g10
NtRp17031
(dp17032
g13
Nsg14
Nsg15
Vvector
p17033
sbg8
(g9
g10
NtRp17034
(dp17035
g13
Nsg14
Nsg15
VSHP
p17036
sbNg8
(g9
g10
NtRp17037
(dp17038
g13
Nsg14
Nsg15
V1:10000
p17039
sbNg8
(g9
g10
NtRp17040
(dp17041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - Galway (PS) (Date: 2006/06/03)
p17042
sbg8
(g9
g10
NtRp17043
(dp17044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d12567a1-34c5-482f-898f-01b40c3f54d8
p17045
sbg8
(g9
g10
NtRp17046
(dp17047
g13
Nsg14
g74
sg15
V2006
p17048
sbg8
(g9
g10
NtRp17049
(dp17050
g13
Nsg14
g74
sg15
V2006
p17051
sbg8
(g9
g10
NtRp17052
(dp17053
g13
Nsg14
Nsg15
VFALSE
p17054
sbg8
(g9
g10
NtRp17055
(dp17056
g13
Nsg14
Nsg15
VGalway|Ireland|Land use
p17057
sbg8
(g9
g10
NtRp17058
(dp17059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17060
sbg8
(g9
g10
NtRp17061
(dp17062
g13
Nsg14
Nsg15
VFALSE
p17063
sbNg8
(g9
g10
NtRp17064
(dp17065
g13
Nsg14
Nsg15
VFALSE
p17066
sbNNNNNNNg8
(g9
g10
NtRp17067
(dp17068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17069
(dp17070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17071
(dp17072
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-ie004c_galway_2006
p17073
sbNg8
(g9
g10
NtRp17074
(dp17075
g13
Nsg14
Nsg15
Vobsolete
p17076
sbtp17077
a(g8
(g9
g10
NtRp17078
(dp17079
g13
Nsg14
Nsg15
V69465fa4-f9d3-4faf-88a0-fb435e3fb2fe
p17080
sbNg8
(g9
g10
NtRp17081
(dp17082
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Stara Zagora (\u0421\u0442\u0430\u0440\u0430 \u0417\u0430\u0433\u043e\u0440\u0430)
p17083
sbNNNNNg8
(g9
g10
NtRp17084
(dp17085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17086
sbg8
(g23
g10
NtRp17087
(dp17088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17089
sbNg8
(g9
g10
NtRp17090
(dp17091
g13
Nsg14
Nsg15
VFALSE
p17092
sbNNNg8
(g9
g10
NtRp17093
(dp17094
g13
Nsg14
Nsg15
VFALSE
p17095
sbNNg8
(g9
g10
NtRp17096
(dp17097
g13
Nsg14
Nsg15
VFALSE
p17098
sbNNg8
(g9
g10
NtRp17099
(dp17100
g13
Nsg14
Nsg15
VFALSE
p17101
sbNg8
(g9
g10
NtRp17102
(dp17103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/69465fa4-f9d3-4faf-88a0-fb435e3fb2fe.png
p17104
sbNg8
(g9
g10
NtRp17105
(dp17106
g13
Nsg14
Nsg15
V2019-06-04
p17107
sbNNg8
(g9
g10
NtRp17108
(dp17109
g13
Nsg14
Nsg15
Vland use|urban area
p17110
sbg8
(g9
g10
NtRp17111
(dp17112
g13
Nsg14
Nsg15
Vvector
p17113
sbg8
(g9
g10
NtRp17114
(dp17115
g13
Nsg14
Nsg15
VSHP
p17116
sbNg8
(g9
g10
NtRp17117
(dp17118
g13
Nsg14
Nsg15
V1:10000
p17119
sbNg8
(g9
g10
NtRp17120
(dp17121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50932650708290851501B0 (P) (Date: 2007/08/29) \u000a                      * ALOS 10 m - AL_AV2_X_20070709_091559_DLR_7750_PRUTM (XS) (Date: 2007/07/09)
p17122
sbg8
(g9
g10
NtRp17123
(dp17124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69465fa4-f9d3-4faf-88a0-fb435e3fb2fe
p17125
sbg8
(g9
g10
NtRp17126
(dp17127
g13
Nsg14
g74
sg15
V2007
p17128
sbg8
(g9
g10
NtRp17129
(dp17130
g13
Nsg14
g74
sg15
V2007
p17131
sbg8
(g9
g10
NtRp17132
(dp17133
g13
Nsg14
Nsg15
VFALSE
p17134
sbg8
(g9
g10
NtRp17135
(dp17136
g13
Nsg14
Nsg15
VBulgaria|Land use|Stara Zagora
p17137
sbg8
(g9
g10
NtRp17138
(dp17139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17140
sbg8
(g9
g10
NtRp17141
(dp17142
g13
Nsg14
Nsg15
VFALSE
p17143
sbNg8
(g9
g10
NtRp17144
(dp17145
g13
Nsg14
Nsg15
VFALSE
p17146
sbNNNNNNNg8
(g9
g10
NtRp17147
(dp17148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17149
(dp17150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17151
(dp17152
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg501c_starazagora_2007
p17153
sbNg8
(g9
g10
NtRp17154
(dp17155
g13
Nsg14
Nsg15
Vobsolete
p17156
sbtp17157
a(g8
(g9
g10
NtRp17158
(dp17159
g13
Nsg14
Nsg15
V42b70b86-ca54-4a93-81a1-f75b373db3bc
p17160
sbNg8
(g9
g10
NtRp17161
(dp17162
g13
Nsg14
Nsg15
VUrban Atlas - Malta - Gozo (G\u0127awdex)
p17163
sbNNNNNg8
(g9
g10
NtRp17164
(dp17165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17166
sbg8
(g23
g10
NtRp17167
(dp17168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17169
sbNg8
(g9
g10
NtRp17170
(dp17171
g13
Nsg14
Nsg15
VFALSE
p17172
sbNNNg8
(g9
g10
NtRp17173
(dp17174
g13
Nsg14
Nsg15
VFALSE
p17175
sbNNg8
(g9
g10
NtRp17176
(dp17177
g13
Nsg14
Nsg15
VFALSE
p17178
sbNNg8
(g9
g10
NtRp17179
(dp17180
g13
Nsg14
Nsg15
VFALSE
p17181
sbNg8
(g9
g10
NtRp17182
(dp17183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/42b70b86-ca54-4a93-81a1-f75b373db3bc.png
p17184
sbNg8
(g9
g10
NtRp17185
(dp17186
g13
Nsg14
Nsg15
V2019-06-04
p17187
sbNNg8
(g9
g10
NtRp17188
(dp17189
g13
Nsg14
Nsg15
Vland use|urban area
p17190
sbg8
(g9
g10
NtRp17191
(dp17192
g13
Nsg14
Nsg15
Vvector
p17193
sbg8
(g9
g10
NtRp17194
(dp17195
g13
Nsg14
Nsg15
VSHP
p17196
sbNg8
(g9
g10
NtRp17197
(dp17198
g13
Nsg14
Nsg15
V1:10000
p17199
sbNg8
(g9
g10
NtRp17200
(dp17201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070508_095627_DLR_6846_PRUTM (XS) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_095621_DLR_7517_PRUTM (P) (Date: 2007/06/23)
p17202
sbg8
(g9
g10
NtRp17203
(dp17204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42b70b86-ca54-4a93-81a1-f75b373db3bc
p17205
sbg8
(g9
g10
NtRp17206
(dp17207
g13
Nsg14
g74
sg15
V2007
p17208
sbg8
(g9
g10
NtRp17209
(dp17210
g13
Nsg14
g74
sg15
V2007
p17211
sbg8
(g9
g10
NtRp17212
(dp17213
g13
Nsg14
Nsg15
VFALSE
p17214
sbg8
(g9
g10
NtRp17215
(dp17216
g13
Nsg14
Nsg15
VGozo|Land use|Malta
p17217
sbg8
(g9
g10
NtRp17218
(dp17219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17220
sbg8
(g9
g10
NtRp17221
(dp17222
g13
Nsg14
Nsg15
VFALSE
p17223
sbNg8
(g9
g10
NtRp17224
(dp17225
g13
Nsg14
Nsg15
VFALSE
p17226
sbNNNNNNNg8
(g9
g10
NtRp17227
(dp17228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17229
(dp17230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17231
(dp17232
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-mt002l_gozo_2007
p17233
sbNg8
(g9
g10
NtRp17234
(dp17235
g13
Nsg14
Nsg15
Vobsolete
p17236
sbtp17237
a(g8
(g9
g10
NtRp17238
(dp17239
g13
Nsg14
Nsg15
V5f7b4546-a22a-45a6-985b-95ebad957906
p17240
sbNg8
(g9
g10
NtRp17241
(dp17242
g13
Nsg14
Nsg15
VUrban Atlas - France - Reims
p17243
sbNNNNNg8
(g9
g10
NtRp17244
(dp17245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17246
sbg8
(g23
g10
NtRp17247
(dp17248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17249
sbNg8
(g9
g10
NtRp17250
(dp17251
g13
Nsg14
Nsg15
VFALSE
p17252
sbNNNg8
(g9
g10
NtRp17253
(dp17254
g13
Nsg14
Nsg15
VFALSE
p17255
sbNNg8
(g9
g10
NtRp17256
(dp17257
g13
Nsg14
Nsg15
VFALSE
p17258
sbNNg8
(g9
g10
NtRp17259
(dp17260
g13
Nsg14
Nsg15
VFALSE
p17261
sbNg8
(g9
g10
NtRp17262
(dp17263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f7b4546-a22a-45a6-985b-95ebad957906.png
p17264
sbNg8
(g9
g10
NtRp17265
(dp17266
g13
Nsg14
Nsg15
V2019-06-04
p17267
sbNNg8
(g9
g10
NtRp17268
(dp17269
g13
Nsg14
Nsg15
Vland use|urban area
p17270
sbg8
(g9
g10
NtRp17271
(dp17272
g13
Nsg14
Nsg15
Vvector
p17273
sbg8
(g9
g10
NtRp17274
(dp17275
g13
Nsg14
Nsg15
VSHP
p17276
sbNg8
(g9
g10
NtRp17277
(dp17278
g13
Nsg14
Nsg15
V1:10000
p17279
sbNg8
(g9
g10
NtRp17280
(dp17281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50412500509031117441B0 (PS) (Date: 2005/09/03) \u000a                      * Spot 5 2,50 m - 50432500606081030422B2 (PS) (Date: 2006/06/08)
p17282
sbg8
(g9
g10
NtRp17283
(dp17284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f7b4546-a22a-45a6-985b-95ebad957906
p17285
sbg8
(g9
g10
NtRp17286
(dp17287
g13
Nsg14
g74
sg15
V2005
p17288
sbg8
(g9
g10
NtRp17289
(dp17290
g13
Nsg14
g74
sg15
V2006
p17291
sbg8
(g9
g10
NtRp17292
(dp17293
g13
Nsg14
Nsg15
VTRUE
p17294
sbg8
(g9
g10
NtRp17295
(dp17296
g13
Nsg14
Nsg15
VFrance|Land use|Reims
p17297
sbg8
(g9
g10
NtRp17298
(dp17299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17300
sbg8
(g9
g10
NtRp17301
(dp17302
g13
Nsg14
Nsg15
VFALSE
p17303
sbNg8
(g9
g10
NtRp17304
(dp17305
g13
Nsg14
Nsg15
VFALSE
p17306
sbNNNNNNNg8
(g9
g10
NtRp17307
(dp17308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17309
(dp17310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17311
(dp17312
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr018l_reims_2005-2006
p17313
sbNg8
(g9
g10
NtRp17314
(dp17315
g13
Nsg14
Nsg15
Vobsolete
p17316
sbtp17317
a(g8
(g9
g10
NtRp17318
(dp17319
g13
Nsg14
Nsg15
V79e8349a-c0d2-4090-b31f-fef80efb4f6e
p17320
sbNg8
(g9
g10
NtRp17321
(dp17322
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Worcester
p17323
sbNNNNNg8
(g9
g10
NtRp17324
(dp17325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17326
sbg8
(g23
g10
NtRp17327
(dp17328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17329
sbNg8
(g9
g10
NtRp17330
(dp17331
g13
Nsg14
Nsg15
VFALSE
p17332
sbNNNg8
(g9
g10
NtRp17333
(dp17334
g13
Nsg14
Nsg15
VFALSE
p17335
sbNNg8
(g9
g10
NtRp17336
(dp17337
g13
Nsg14
Nsg15
VFALSE
p17338
sbNNg8
(g9
g10
NtRp17339
(dp17340
g13
Nsg14
Nsg15
VFALSE
p17341
sbNg8
(g9
g10
NtRp17342
(dp17343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/79e8349a-c0d2-4090-b31f-fef80efb4f6e.png
p17344
sbNg8
(g9
g10
NtRp17345
(dp17346
g13
Nsg14
Nsg15
V2019-06-04
p17347
sbNNg8
(g9
g10
NtRp17348
(dp17349
g13
Nsg14
Nsg15
Vland use|urban area
p17350
sbg8
(g9
g10
NtRp17351
(dp17352
g13
Nsg14
Nsg15
Vvector
p17353
sbg8
(g9
g10
NtRp17354
(dp17355
g13
Nsg14
Nsg15
VSHP
p17356
sbNg8
(g9
g10
NtRp17357
(dp17358
g13
Nsg14
Nsg15
V1:10000
p17359
sbNg8
(g9
g10
NtRp17360
(dp17361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50262440606171057152B0 (PS) (Date: 2006/11/03) \u000a                      * Spot 5 2,50 m - 50262440611031124231B0 (PS) (Date: 2006/06/17) \u000a                      * Spot 5 2,50 m - 50292441004211057302B0 (PS) (Date: 2010/04/21) \u000a                      * Spot 5 2,50 m - 50292450611041105122B0(PS) (Date: 2006/11/04) \u000a                      * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P001 (PS) (Date: 2005/09/12) \u000a                      * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P002 (PS) (Date: 2005/09/12) \u000a                      * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P003 (PS) (Date: 2005/09/12) \u000a                      * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P004 (PS) (Date: 2005/09/12)
p17362
sbg8
(g9
g10
NtRp17363
(dp17364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79e8349a-c0d2-4090-b31f-fef80efb4f6e
p17365
sbg8
(g9
g10
NtRp17366
(dp17367
g13
Nsg14
g74
sg15
V2005
p17368
sbg8
(g9
g10
NtRp17369
(dp17370
g13
Nsg14
g74
sg15
V2010
p17371
sbg8
(g9
g10
NtRp17372
(dp17373
g13
Nsg14
Nsg15
VTRUE
p17374
sbg8
(g9
g10
NtRp17375
(dp17376
g13
Nsg14
Nsg15
VLand use|United Kingdom|Worcester
p17377
sbg8
(g9
g10
NtRp17378
(dp17379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17380
sbg8
(g9
g10
NtRp17381
(dp17382
g13
Nsg14
Nsg15
VFALSE
p17383
sbNg8
(g9
g10
NtRp17384
(dp17385
g13
Nsg14
Nsg15
VFALSE
p17386
sbNNNNNNNg8
(g9
g10
NtRp17387
(dp17388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17389
(dp17390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17391
(dp17392
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk024l_worcester_2005-2010
p17393
sbNg8
(g9
g10
NtRp17394
(dp17395
g13
Nsg14
Nsg15
Vobsolete
p17396
sbtp17397
a(g8
(g9
g10
NtRp17398
(dp17399
g13
Nsg14
Nsg15
Vbe025f64-98b2-463b-ae83-0be7a3de7856
p17400
sbNg8
(g9
g10
NtRp17401
(dp17402
g13
Nsg14
Nsg15
VUrban Atlas - France - Montpellier
p17403
sbNNNNNg8
(g9
g10
NtRp17404
(dp17405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17406
sbg8
(g23
g10
NtRp17407
(dp17408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17409
sbNg8
(g9
g10
NtRp17410
(dp17411
g13
Nsg14
Nsg15
VFALSE
p17412
sbNNNg8
(g9
g10
NtRp17413
(dp17414
g13
Nsg14
Nsg15
VFALSE
p17415
sbNNg8
(g9
g10
NtRp17416
(dp17417
g13
Nsg14
Nsg15
VFALSE
p17418
sbNNg8
(g9
g10
NtRp17419
(dp17420
g13
Nsg14
Nsg15
VFALSE
p17421
sbNg8
(g9
g10
NtRp17422
(dp17423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/be025f64-98b2-463b-ae83-0be7a3de7856.png
p17424
sbNg8
(g9
g10
NtRp17425
(dp17426
g13
Nsg14
Nsg15
V2019-06-04
p17427
sbNNg8
(g9
g10
NtRp17428
(dp17429
g13
Nsg14
Nsg15
Vland use|urban area
p17430
sbg8
(g9
g10
NtRp17431
(dp17432
g13
Nsg14
Nsg15
Vvector
p17433
sbg8
(g9
g10
NtRp17434
(dp17435
g13
Nsg14
Nsg15
VSHP
p17436
sbNg8
(g9
g10
NtRp17437
(dp17438
g13
Nsg14
Nsg15
V1:10000
p17439
sbNg8
(g9
g10
NtRp17440
(dp17441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080619_104212_DLR_12798_PREU (XS) (Date: 2008/06/19) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080504_104252_DLR_12127_PREU (P) (Date: 2008/05/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080619_104212_DLR_12798_PREU (P) (Date: 2008/06/19)
p17442
sbg8
(g9
g10
NtRp17443
(dp17444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be025f64-98b2-463b-ae83-0be7a3de7856
p17445
sbg8
(g9
g10
NtRp17446
(dp17447
g13
Nsg14
g74
sg15
V2008
p17448
sbg8
(g9
g10
NtRp17449
(dp17450
g13
Nsg14
g74
sg15
V2008
p17451
sbg8
(g9
g10
NtRp17452
(dp17453
g13
Nsg14
Nsg15
VFALSE
p17454
sbg8
(g9
g10
NtRp17455
(dp17456
g13
Nsg14
Nsg15
VFrance|Land use|Montpellier
p17457
sbg8
(g9
g10
NtRp17458
(dp17459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17460
sbg8
(g9
g10
NtRp17461
(dp17462
g13
Nsg14
Nsg15
VFALSE
p17463
sbNg8
(g9
g10
NtRp17464
(dp17465
g13
Nsg14
Nsg15
VFALSE
p17466
sbNNNNNNNg8
(g9
g10
NtRp17467
(dp17468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17469
(dp17470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17471
(dp17472
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr010c_montpellier_2008
p17473
sbNg8
(g9
g10
NtRp17474
(dp17475
g13
Nsg14
Nsg15
Vobsolete
p17476
sbtp17477
a(g8
(g9
g10
NtRp17478
(dp17479
g13
Nsg14
Nsg15
Vb63c0e3f-0b27-46f7-98d0-4574e0b35976
p17480
sbNg8
(g9
g10
NtRp17481
(dp17482
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Ghent (Gent)
p17483
sbNNNNNg8
(g9
g10
NtRp17484
(dp17485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17486
sbg8
(g23
g10
NtRp17487
(dp17488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17489
sbNg8
(g9
g10
NtRp17490
(dp17491
g13
Nsg14
Nsg15
VFALSE
p17492
sbNNNg8
(g9
g10
NtRp17493
(dp17494
g13
Nsg14
Nsg15
VFALSE
p17495
sbNNg8
(g9
g10
NtRp17496
(dp17497
g13
Nsg14
Nsg15
VFALSE
p17498
sbNNg8
(g9
g10
NtRp17499
(dp17500
g13
Nsg14
Nsg15
VFALSE
p17501
sbNg8
(g9
g10
NtRp17502
(dp17503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b63c0e3f-0b27-46f7-98d0-4574e0b35976.png
p17504
sbNg8
(g9
g10
NtRp17505
(dp17506
g13
Nsg14
Nsg15
V2019-06-04
p17507
sbNNg8
(g9
g10
NtRp17508
(dp17509
g13
Nsg14
Nsg15
Vland use|urban area
p17510
sbg8
(g9
g10
NtRp17511
(dp17512
g13
Nsg14
Nsg15
Vvector
p17513
sbg8
(g9
g10
NtRp17514
(dp17515
g13
Nsg14
Nsg15
VSHP
p17516
sbNg8
(g9
g10
NtRp17517
(dp17518
g13
Nsg14
Nsg15
V1:10000
p17519
sbNg8
(g9
g10
NtRp17520
(dp17521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538026 (PS) (Date: 2005/10/27) \u000a                      * Spot 5 2,50 m - 00183756038 (PS) (Date: 2006/09/13) \u000a                      * Spot 5 2,50 m - 00183756046 (PS) (Date: 2006/10/15)
p17522
sbg8
(g9
g10
NtRp17523
(dp17524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b63c0e3f-0b27-46f7-98d0-4574e0b35976
p17525
sbg8
(g9
g10
NtRp17526
(dp17527
g13
Nsg14
g74
sg15
V2005
p17528
sbg8
(g9
g10
NtRp17529
(dp17530
g13
Nsg14
g74
sg15
V2006
p17531
sbg8
(g9
g10
NtRp17532
(dp17533
g13
Nsg14
Nsg15
VTRUE
p17534
sbg8
(g9
g10
NtRp17535
(dp17536
g13
Nsg14
Nsg15
VBelgium|Ghent|Land use
p17537
sbg8
(g9
g10
NtRp17538
(dp17539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17540
sbg8
(g9
g10
NtRp17541
(dp17542
g13
Nsg14
Nsg15
VFALSE
p17543
sbNg8
(g9
g10
NtRp17544
(dp17545
g13
Nsg14
Nsg15
VFALSE
p17546
sbNNNNNNNg8
(g9
g10
NtRp17547
(dp17548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17549
(dp17550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17551
(dp17552
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be003l_gent_2005-2006
p17553
sbNg8
(g9
g10
NtRp17554
(dp17555
g13
Nsg14
Nsg15
Vobsolete
p17556
sbtp17557
a(g8
(g9
g10
NtRp17558
(dp17559
g13
Nsg14
Nsg15
V6e311a94-a39f-4010-8d82-3125f058b824
p17560
sbNg8
(g9
g10
NtRp17561
(dp17562
g13
Nsg14
Nsg15
VUrban Atlas - France - Lens-Liévin
p17563
sbNNNNNg8
(g9
g10
NtRp17564
(dp17565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17566
sbg8
(g23
g10
NtRp17567
(dp17568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17569
sbNg8
(g9
g10
NtRp17570
(dp17571
g13
Nsg14
Nsg15
VFALSE
p17572
sbNNNg8
(g9
g10
NtRp17573
(dp17574
g13
Nsg14
Nsg15
VFALSE
p17575
sbNNg8
(g9
g10
NtRp17576
(dp17577
g13
Nsg14
Nsg15
VFALSE
p17578
sbNNg8
(g9
g10
NtRp17579
(dp17580
g13
Nsg14
Nsg15
VFALSE
p17581
sbNg8
(g9
g10
NtRp17582
(dp17583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e311a94-a39f-4010-8d82-3125f058b824.png
p17584
sbNg8
(g9
g10
NtRp17585
(dp17586
g13
Nsg14
Nsg15
V2019-06-04
p17587
sbNNg8
(g9
g10
NtRp17588
(dp17589
g13
Nsg14
Nsg15
Vland use|urban area
p17590
sbg8
(g9
g10
NtRp17591
(dp17592
g13
Nsg14
Nsg15
Vvector
p17593
sbg8
(g9
g10
NtRp17594
(dp17595
g13
Nsg14
Nsg15
VSHP
p17596
sbNg8
(g9
g10
NtRp17597
(dp17598
g13
Nsg14
Nsg15
V1:10000
p17599
sbNg8
(g9
g10
NtRp17600
(dp17601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070829_105841_DLR_8495_PREU (XS) (Date: 2007/08/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070829_105841_DLR_8495_PREU (P) (Date: 2007/08/29)
p17602
sbg8
(g9
g10
NtRp17603
(dp17604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e311a94-a39f-4010-8d82-3125f058b824
p17605
sbg8
(g9
g10
NtRp17606
(dp17607
g13
Nsg14
g74
sg15
V2007
p17608
sbg8
(g9
g10
NtRp17609
(dp17610
g13
Nsg14
g74
sg15
V2007
p17611
sbg8
(g9
g10
NtRp17612
(dp17613
g13
Nsg14
Nsg15
VFALSE
p17614
sbg8
(g9
g10
NtRp17615
(dp17616
g13
Nsg14
Nsg15
VFrance|Land use|Lens-Liévin
p17617
sbg8
(g9
g10
NtRp17618
(dp17619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17620
sbg8
(g9
g10
NtRp17621
(dp17622
g13
Nsg14
Nsg15
VFALSE
p17623
sbNg8
(g9
g10
NtRp17624
(dp17625
g13
Nsg14
Nsg15
VFALSE
p17626
sbNNNNNNNg8
(g9
g10
NtRp17627
(dp17628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17629
(dp17630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17631
(dp17632
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr207c_lens_lievin_2007
p17633
sbNg8
(g9
g10
NtRp17634
(dp17635
g13
Nsg14
Nsg15
Vobsolete
p17636
sbtp17637
a(g8
(g9
g10
NtRp17638
(dp17639
g13
Nsg14
Nsg15
V80645d79-e4e8-42e0-8238-a3b33e5668c7
p17640
sbNg8
(g9
g10
NtRp17641
(dp17642
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Wroc\u0142aw
p17643
sbNNNNNg8
(g9
g10
NtRp17644
(dp17645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17646
sbg8
(g23
g10
NtRp17647
(dp17648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17649
sbNg8
(g9
g10
NtRp17650
(dp17651
g13
Nsg14
Nsg15
VFALSE
p17652
sbNNNg8
(g9
g10
NtRp17653
(dp17654
g13
Nsg14
Nsg15
VFALSE
p17655
sbNNg8
(g9
g10
NtRp17656
(dp17657
g13
Nsg14
Nsg15
VFALSE
p17658
sbNNg8
(g9
g10
NtRp17659
(dp17660
g13
Nsg14
Nsg15
VFALSE
p17661
sbNg8
(g9
g10
NtRp17662
(dp17663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/80645d79-e4e8-42e0-8238-a3b33e5668c7.png
p17664
sbNg8
(g9
g10
NtRp17665
(dp17666
g13
Nsg14
Nsg15
V2019-06-04
p17667
sbNNg8
(g9
g10
NtRp17668
(dp17669
g13
Nsg14
Nsg15
Vland use|urban area
p17670
sbg8
(g9
g10
NtRp17671
(dp17672
g13
Nsg14
Nsg15
Vvector
p17673
sbg8
(g9
g10
NtRp17674
(dp17675
g13
Nsg14
Nsg15
VSHP
p17676
sbNg8
(g9
g10
NtRp17677
(dp17678
g13
Nsg14
Nsg15
V1:10000
p17679
sbNg8
(g9
g10
NtRp17680
(dp17681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800023 (PS) (Date: 2007/10/15) \u000a                      * Spot 5 2,50 m - 00185800024 (PS) (Date: 2007/10/15) \u000a                      * Spot 5 2,50 m - 00185800025 (PS) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 00185800026 (PS) (Date: 2008/07/02)
p17682
sbg8
(g9
g10
NtRp17683
(dp17684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80645d79-e4e8-42e0-8238-a3b33e5668c7
p17685
sbg8
(g9
g10
NtRp17686
(dp17687
g13
Nsg14
g74
sg15
V2006
p17688
sbg8
(g9
g10
NtRp17689
(dp17690
g13
Nsg14
g74
sg15
V2008
p17691
sbg8
(g9
g10
NtRp17692
(dp17693
g13
Nsg14
Nsg15
VTRUE
p17694
sbg8
(g9
g10
NtRp17695
(dp17696
g13
Nsg14
Nsg15
VLand use|Poland|Wroc\u0142aw
p17697
sbg8
(g9
g10
NtRp17698
(dp17699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17700
sbg8
(g9
g10
NtRp17701
(dp17702
g13
Nsg14
Nsg15
VFALSE
p17703
sbNg8
(g9
g10
NtRp17704
(dp17705
g13
Nsg14
Nsg15
VFALSE
p17706
sbNNNNNNNg8
(g9
g10
NtRp17707
(dp17708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17709
(dp17710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17711
(dp17712
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl004l_wroclaw_2006-2008
p17713
sbNg8
(g9
g10
NtRp17714
(dp17715
g13
Nsg14
Nsg15
Vobsolete
p17716
sbtp17717
a(g8
(g9
g10
NtRp17718
(dp17719
g13
Nsg14
Nsg15
V680e26cc-cfb7-4558-b864-c4d2585a95fb
p17720
sbNg8
(g9
g10
NtRp17721
(dp17722
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Alba Iulia
p17723
sbNNNNNg8
(g9
g10
NtRp17724
(dp17725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17726
sbg8
(g23
g10
NtRp17727
(dp17728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17729
sbNg8
(g9
g10
NtRp17730
(dp17731
g13
Nsg14
Nsg15
VFALSE
p17732
sbNNNg8
(g9
g10
NtRp17733
(dp17734
g13
Nsg14
Nsg15
VFALSE
p17735
sbNNg8
(g9
g10
NtRp17736
(dp17737
g13
Nsg14
Nsg15
VFALSE
p17738
sbNNg8
(g9
g10
NtRp17739
(dp17740
g13
Nsg14
Nsg15
VFALSE
p17741
sbNg8
(g9
g10
NtRp17742
(dp17743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/680e26cc-cfb7-4558-b864-c4d2585a95fb.png
p17744
sbNg8
(g9
g10
NtRp17745
(dp17746
g13
Nsg14
Nsg15
V2019-06-04
p17747
sbNNg8
(g9
g10
NtRp17748
(dp17749
g13
Nsg14
Nsg15
Vland use|urban area
p17750
sbg8
(g9
g10
NtRp17751
(dp17752
g13
Nsg14
Nsg15
Vvector
p17753
sbg8
(g9
g10
NtRp17754
(dp17755
g13
Nsg14
Nsg15
VSHP
p17756
sbNg8
(g9
g10
NtRp17757
(dp17758
g13
Nsg14
Nsg15
V1:10000
p17759
sbNg8
(g9
g10
NtRp17760
(dp17761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50862570609070940431B0 (PS) (Date: 2006/09/07)
p17762
sbg8
(g9
g10
NtRp17763
(dp17764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/680e26cc-cfb7-4558-b864-c4d2585a95fb
p17765
sbg8
(g9
g10
NtRp17766
(dp17767
g13
Nsg14
g74
sg15
V2006
p17768
sbg8
(g9
g10
NtRp17769
(dp17770
g13
Nsg14
g74
sg15
V2006
p17771
sbg8
(g9
g10
NtRp17772
(dp17773
g13
Nsg14
Nsg15
VFALSE
p17774
sbg8
(g9
g10
NtRp17775
(dp17776
g13
Nsg14
Nsg15
VAlba Iulia|Land use|Romania
p17777
sbg8
(g9
g10
NtRp17778
(dp17779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17780
sbg8
(g9
g10
NtRp17781
(dp17782
g13
Nsg14
Nsg15
VFALSE
p17783
sbNg8
(g9
g10
NtRp17784
(dp17785
g13
Nsg14
Nsg15
VFALSE
p17786
sbNNNNNNNg8
(g9
g10
NtRp17787
(dp17788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17789
(dp17790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17791
(dp17792
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro014l_alba_iulia_2006
p17793
sbNg8
(g9
g10
NtRp17794
(dp17795
g13
Nsg14
Nsg15
Vobsolete
p17796
sbtp17797
a(g8
(g9
g10
NtRp17798
(dp17799
g13
Nsg14
Nsg15
V57b3375a-0a04-4753-820b-9da200ee23a8
p17800
sbNg8
(g9
g10
NtRp17801
(dp17802
g13
Nsg14
Nsg15
VUrban Atlas - France - Lille
p17803
sbNNNNNg8
(g9
g10
NtRp17804
(dp17805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17806
sbg8
(g23
g10
NtRp17807
(dp17808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17809
sbNg8
(g9
g10
NtRp17810
(dp17811
g13
Nsg14
Nsg15
VFALSE
p17812
sbNNNg8
(g9
g10
NtRp17813
(dp17814
g13
Nsg14
Nsg15
VFALSE
p17815
sbNNg8
(g9
g10
NtRp17816
(dp17817
g13
Nsg14
Nsg15
VFALSE
p17818
sbNNg8
(g9
g10
NtRp17819
(dp17820
g13
Nsg14
Nsg15
VFALSE
p17821
sbNg8
(g9
g10
NtRp17822
(dp17823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/57b3375a-0a04-4753-820b-9da200ee23a8.png
p17824
sbNg8
(g9
g10
NtRp17825
(dp17826
g13
Nsg14
Nsg15
V2019-06-04
p17827
sbNNg8
(g9
g10
NtRp17828
(dp17829
g13
Nsg14
Nsg15
Vland use|urban area
p17830
sbg8
(g9
g10
NtRp17831
(dp17832
g13
Nsg14
Nsg15
Vvector
p17833
sbg8
(g9
g10
NtRp17834
(dp17835
g13
Nsg14
Nsg15
VSHP
p17836
sbNg8
(g9
g10
NtRp17837
(dp17838
g13
Nsg14
Nsg15
V1:10000
p17839
sbNg8
(g9
g10
NtRp17840
(dp17841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070829_105833_DLR_8495_PREU (XS) (Date: 2007/08/29) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070829_105841_DLR_8495_PREU (XS) (Date: 2007/08/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070829_105837_DLR_8495_PREU (P) (Date: 2007/08/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070829_105841_DLR_8495_PREU (P) (Date: 2007/08/29)
p17842
sbg8
(g9
g10
NtRp17843
(dp17844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57b3375a-0a04-4753-820b-9da200ee23a8
p17845
sbg8
(g9
g10
NtRp17846
(dp17847
g13
Nsg14
g74
sg15
V2007
p17848
sbg8
(g9
g10
NtRp17849
(dp17850
g13
Nsg14
g74
sg15
V2007
p17851
sbg8
(g9
g10
NtRp17852
(dp17853
g13
Nsg14
Nsg15
VFALSE
p17854
sbg8
(g9
g10
NtRp17855
(dp17856
g13
Nsg14
Nsg15
VFrance|Land use|Lille
p17857
sbg8
(g9
g10
NtRp17858
(dp17859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17860
sbg8
(g9
g10
NtRp17861
(dp17862
g13
Nsg14
Nsg15
VFALSE
p17863
sbNg8
(g9
g10
NtRp17864
(dp17865
g13
Nsg14
Nsg15
VFALSE
p17866
sbNNNNNNNg8
(g9
g10
NtRp17867
(dp17868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17869
(dp17870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17871
(dp17872
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr009c_lille_2007
p17873
sbNg8
(g9
g10
NtRp17874
(dp17875
g13
Nsg14
Nsg15
Vobsolete
p17876
sbtp17877
a(g8
(g9
g10
NtRp17878
(dp17879
g13
Nsg14
Nsg15
Vee232f75-68e9-4ebc-ab3e-8b11e310922d
p17880
sbNg8
(g9
g10
NtRp17881
(dp17882
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Göttingen
p17883
sbNNNNNg8
(g9
g10
NtRp17884
(dp17885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17886
sbg8
(g23
g10
NtRp17887
(dp17888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17889
sbNg8
(g9
g10
NtRp17890
(dp17891
g13
Nsg14
Nsg15
VFALSE
p17892
sbNNNg8
(g9
g10
NtRp17893
(dp17894
g13
Nsg14
Nsg15
VFALSE
p17895
sbNNg8
(g9
g10
NtRp17896
(dp17897
g13
Nsg14
Nsg15
VFALSE
p17898
sbNNg8
(g9
g10
NtRp17899
(dp17900
g13
Nsg14
Nsg15
VFALSE
p17901
sbNg8
(g9
g10
NtRp17902
(dp17903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee232f75-68e9-4ebc-ab3e-8b11e310922d.png
p17904
sbNg8
(g9
g10
NtRp17905
(dp17906
g13
Nsg14
Nsg15
V2019-06-04
p17907
sbNNg8
(g9
g10
NtRp17908
(dp17909
g13
Nsg14
Nsg15
Vland use|urban area
p17910
sbg8
(g9
g10
NtRp17911
(dp17912
g13
Nsg14
Nsg15
Vvector
p17913
sbg8
(g9
g10
NtRp17914
(dp17915
g13
Nsg14
Nsg15
VSHP
p17916
sbNg8
(g9
g10
NtRp17917
(dp17918
g13
Nsg14
Nsg15
V1:10000
p17919
sbNg8
(g9
g10
NtRp17920
(dp17921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50522460510071022292J0 (XS) (Date: 2005/10/07) \u000a                      * Spot 5 10 m - 50532450509011015122J0 (XS) (Date: 2005/09/01) \u000a                      * Spot 2,50 m - 50502450607031049111B0 (P) (Date: 2006/07/03) \u000a                      * Spot 2,50 m - 50532450509061018562B3 (P) (Date: 2005/09/06) \u000a                      * ALOS 10 m - AL_AV2_X_20070422_103045_DLR_6613_PRUTM (XS) (Date: 2007/04/22) \u000a                      * ALOS 10 m - AL_AV2_X_20070422_103053_DLR_6613_PRUTM (XS) (Date: 2007/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_102942_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_102946_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_102950_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090410_102908_DLR_17101_PRUTM (P) (Date: 2008/05/11)
p17922
sbg8
(g9
g10
NtRp17923
(dp17924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee232f75-68e9-4ebc-ab3e-8b11e310922d
p17925
sbg8
(g9
g10
NtRp17926
(dp17927
g13
Nsg14
g74
sg15
V2005
p17928
sbg8
(g9
g10
NtRp17929
(dp17930
g13
Nsg14
g74
sg15
V2008
p17931
sbg8
(g9
g10
NtRp17932
(dp17933
g13
Nsg14
Nsg15
VTRUE
p17934
sbg8
(g9
g10
NtRp17935
(dp17936
g13
Nsg14
Nsg15
VGermany|Göttingen|Land use
p17937
sbg8
(g9
g10
NtRp17938
(dp17939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p17940
sbg8
(g9
g10
NtRp17941
(dp17942
g13
Nsg14
Nsg15
VFALSE
p17943
sbNg8
(g9
g10
NtRp17944
(dp17945
g13
Nsg14
Nsg15
VFALSE
p17946
sbNNNNNNNg8
(g9
g10
NtRp17947
(dp17948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp17949
(dp17950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp17951
(dp17952
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de021l_gottingen_2005-2008
p17953
sbNg8
(g9
g10
NtRp17954
(dp17955
g13
Nsg14
Nsg15
Vobsolete
p17956
sbtp17957
a(g8
(g9
g10
NtRp17958
(dp17959
g13
Nsg14
Nsg15
Vc8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f
p17960
sbNg8
(g9
g10
NtRp17961
(dp17962
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Santander
p17963
sbNNNNNg8
(g9
g10
NtRp17964
(dp17965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p17966
sbg8
(g23
g10
NtRp17967
(dp17968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p17969
sbNg8
(g9
g10
NtRp17970
(dp17971
g13
Nsg14
Nsg15
VFALSE
p17972
sbNNNg8
(g9
g10
NtRp17973
(dp17974
g13
Nsg14
Nsg15
VFALSE
p17975
sbNNg8
(g9
g10
NtRp17976
(dp17977
g13
Nsg14
Nsg15
VFALSE
p17978
sbNNg8
(g9
g10
NtRp17979
(dp17980
g13
Nsg14
Nsg15
VFALSE
p17981
sbNg8
(g9
g10
NtRp17982
(dp17983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f.png
p17984
sbNg8
(g9
g10
NtRp17985
(dp17986
g13
Nsg14
Nsg15
V2019-06-04
p17987
sbNNg8
(g9
g10
NtRp17988
(dp17989
g13
Nsg14
Nsg15
Vland use|urban area
p17990
sbg8
(g9
g10
NtRp17991
(dp17992
g13
Nsg14
Nsg15
Vvector
p17993
sbg8
(g9
g10
NtRp17994
(dp17995
g13
Nsg14
Nsg15
VSHP
p17996
sbNg8
(g9
g10
NtRp17997
(dp17998
g13
Nsg14
Nsg15
V1:10000
p17999
sbNg8
(g9
g10
NtRp18000
(dp18001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50322620610131130401B7 (PS) (Date: 2006/10/13)
p18002
sbg8
(g9
g10
NtRp18003
(dp18004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f
p18005
sbg8
(g9
g10
NtRp18006
(dp18007
g13
Nsg14
g74
sg15
V2006
p18008
sbg8
(g9
g10
NtRp18009
(dp18010
g13
Nsg14
g74
sg15
V2006
p18011
sbg8
(g9
g10
NtRp18012
(dp18013
g13
Nsg14
Nsg15
VFALSE
p18014
sbg8
(g9
g10
NtRp18015
(dp18016
g13
Nsg14
Nsg15
VLand use|Santander|Spain
p18017
sbg8
(g9
g10
NtRp18018
(dp18019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18020
sbg8
(g9
g10
NtRp18021
(dp18022
g13
Nsg14
Nsg15
VFALSE
p18023
sbNg8
(g9
g10
NtRp18024
(dp18025
g13
Nsg14
Nsg15
VFALSE
p18026
sbNNNNNNNg8
(g9
g10
NtRp18027
(dp18028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18029
(dp18030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18031
(dp18032
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es015l_santander_2006
p18033
sbNg8
(g9
g10
NtRp18034
(dp18035
g13
Nsg14
Nsg15
Vobsolete
p18036
sbtp18037
a(g8
(g9
g10
NtRp18038
(dp18039
g13
Nsg14
Nsg15
V301fa364-8c1a-4dc9-9916-7fe59bd87991
p18040
sbNg8
(g9
g10
NtRp18041
(dp18042
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Szeged
p18043
sbNNNNNg8
(g9
g10
NtRp18044
(dp18045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18046
sbg8
(g23
g10
NtRp18047
(dp18048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18049
sbNg8
(g9
g10
NtRp18050
(dp18051
g13
Nsg14
Nsg15
VFALSE
p18052
sbNNNg8
(g9
g10
NtRp18053
(dp18054
g13
Nsg14
Nsg15
VFALSE
p18055
sbNNg8
(g9
g10
NtRp18056
(dp18057
g13
Nsg14
Nsg15
VFALSE
p18058
sbNNg8
(g9
g10
NtRp18059
(dp18060
g13
Nsg14
Nsg15
VFALSE
p18061
sbNg8
(g9
g10
NtRp18062
(dp18063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/301fa364-8c1a-4dc9-9916-7fe59bd87991.png
p18064
sbNg8
(g9
g10
NtRp18065
(dp18066
g13
Nsg14
Nsg15
V2019-06-04
p18067
sbNNg8
(g9
g10
NtRp18068
(dp18069
g13
Nsg14
Nsg15
Vland use|urban area
p18070
sbg8
(g9
g10
NtRp18071
(dp18072
g13
Nsg14
Nsg15
Vvector
p18073
sbg8
(g9
g10
NtRp18074
(dp18075
g13
Nsg14
Nsg15
VSHP
p18076
sbNg8
(g9
g10
NtRp18077
(dp18078
g13
Nsg14
Nsg15
V1:10000
p18079
sbNg8
(g9
g10
NtRp18080
(dp18081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186393006 (PS) (Date: 2007/06/25)
p18082
sbg8
(g9
g10
NtRp18083
(dp18084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/301fa364-8c1a-4dc9-9916-7fe59bd87991
p18085
sbg8
(g9
g10
NtRp18086
(dp18087
g13
Nsg14
g74
sg15
V2007
p18088
sbg8
(g9
g10
NtRp18089
(dp18090
g13
Nsg14
g74
sg15
V2007
p18091
sbg8
(g9
g10
NtRp18092
(dp18093
g13
Nsg14
Nsg15
VFALSE
p18094
sbg8
(g9
g10
NtRp18095
(dp18096
g13
Nsg14
Nsg15
VHungary|Land use|Szeged
p18097
sbg8
(g9
g10
NtRp18098
(dp18099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18100
sbg8
(g9
g10
NtRp18101
(dp18102
g13
Nsg14
Nsg15
VFALSE
p18103
sbNg8
(g9
g10
NtRp18104
(dp18105
g13
Nsg14
Nsg15
VFALSE
p18106
sbNNNNNNNg8
(g9
g10
NtRp18107
(dp18108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18109
(dp18110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18111
(dp18112
g13
Nsg14
Nsg15
Vregio_v_32634_50_k_urban-atlas-hu006l_szeged_2007
p18113
sbNg8
(g9
g10
NtRp18114
(dp18115
g13
Nsg14
Nsg15
Vobsolete
p18116
sbtp18117
a(g8
(g9
g10
NtRp18118
(dp18119
g13
Nsg14
Nsg15
V69323ef0-64b1-43b5-8b64-c3e318fcf6ce
p18120
sbNg8
(g9
g10
NtRp18121
(dp18122
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Pescara
p18123
sbNNNNNg8
(g9
g10
NtRp18124
(dp18125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18126
sbg8
(g23
g10
NtRp18127
(dp18128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18129
sbNg8
(g9
g10
NtRp18130
(dp18131
g13
Nsg14
Nsg15
VFALSE
p18132
sbNNNg8
(g9
g10
NtRp18133
(dp18134
g13
Nsg14
Nsg15
VFALSE
p18135
sbNNg8
(g9
g10
NtRp18136
(dp18137
g13
Nsg14
Nsg15
VFALSE
p18138
sbNNg8
(g9
g10
NtRp18139
(dp18140
g13
Nsg14
Nsg15
VFALSE
p18141
sbNg8
(g9
g10
NtRp18142
(dp18143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/69323ef0-64b1-43b5-8b64-c3e318fcf6ce.png
p18144
sbNg8
(g9
g10
NtRp18145
(dp18146
g13
Nsg14
Nsg15
V2019-06-04
p18147
sbNNg8
(g9
g10
NtRp18148
(dp18149
g13
Nsg14
Nsg15
Vland use|urban area
p18150
sbg8
(g9
g10
NtRp18151
(dp18152
g13
Nsg14
Nsg15
Vvector
p18153
sbg8
(g9
g10
NtRp18154
(dp18155
g13
Nsg14
Nsg15
VSHP
p18156
sbNg8
(g9
g10
NtRp18157
(dp18158
g13
Nsg14
Nsg15
V1:10000
p18159
sbNg8
(g9
g10
NtRp18160
(dp18161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070715_100303_DLR_7838_PRUTM (XS) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070715_100312_DLR_7838_PRUTM (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100308_DLR_7838_PRUTM (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100312_DLR_7838_PRUTM (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080601_095948_DLR_12535_PRUTM (P) (Date: 2008/06/01)
p18162
sbg8
(g9
g10
NtRp18163
(dp18164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69323ef0-64b1-43b5-8b64-c3e318fcf6ce
p18165
sbg8
(g9
g10
NtRp18166
(dp18167
g13
Nsg14
g74
sg15
V2007
p18168
sbg8
(g9
g10
NtRp18169
(dp18170
g13
Nsg14
g74
sg15
V2008
p18171
sbg8
(g9
g10
NtRp18172
(dp18173
g13
Nsg14
Nsg15
VTRUE
p18174
sbg8
(g9
g10
NtRp18175
(dp18176
g13
Nsg14
Nsg15
VItaly|Land use|Pescara
p18177
sbg8
(g9
g10
NtRp18178
(dp18179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18180
sbg8
(g9
g10
NtRp18181
(dp18182
g13
Nsg14
Nsg15
VFALSE
p18183
sbNg8
(g9
g10
NtRp18184
(dp18185
g13
Nsg14
Nsg15
VFALSE
p18186
sbNNNNNNNg8
(g9
g10
NtRp18187
(dp18188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18189
(dp18190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18191
(dp18192
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it019l_pescara_2007-2008
p18193
sbNg8
(g9
g10
NtRp18194
(dp18195
g13
Nsg14
Nsg15
Vobsolete
p18196
sbtp18197
a(g8
(g9
g10
NtRp18198
(dp18199
g13
Nsg14
Nsg15
V500b154c-f99b-4235-97c5-7ef48dfc67d5
p18200
sbNg8
(g9
g10
NtRp18201
(dp18202
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Linköping
p18203
sbNNNNNg8
(g9
g10
NtRp18204
(dp18205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18206
sbg8
(g23
g10
NtRp18207
(dp18208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18209
sbNg8
(g9
g10
NtRp18210
(dp18211
g13
Nsg14
Nsg15
VFALSE
p18212
sbNNNg8
(g9
g10
NtRp18213
(dp18214
g13
Nsg14
Nsg15
VFALSE
p18215
sbNNg8
(g9
g10
NtRp18216
(dp18217
g13
Nsg14
Nsg15
VFALSE
p18218
sbNNg8
(g9
g10
NtRp18219
(dp18220
g13
Nsg14
Nsg15
VFALSE
p18221
sbNg8
(g9
g10
NtRp18222
(dp18223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/500b154c-f99b-4235-97c5-7ef48dfc67d5.png
p18224
sbNg8
(g9
g10
NtRp18225
(dp18226
g13
Nsg14
Nsg15
V2019-06-04
p18227
sbNNg8
(g9
g10
NtRp18228
(dp18229
g13
Nsg14
Nsg15
Vland use|urban area
p18230
sbg8
(g9
g10
NtRp18231
(dp18232
g13
Nsg14
Nsg15
Vvector
p18233
sbg8
(g9
g10
NtRp18234
(dp18235
g13
Nsg14
Nsg15
VSHP
p18236
sbNg8
(g9
g10
NtRp18237
(dp18238
g13
Nsg14
Nsg15
V1:10000
p18239
sbNg8
(g9
g10
NtRp18240
(dp18241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394021 (PS) (Date: 2006/06/13) \u000a                      * Spot 5 2,50 m - 00186394034 (PS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00186394035 (PS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00186394036 (PS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00186394038 (PS) (Date: 2007/04/26) \u000a                      * Spot 5 2,50 m - 00186394039 (PS) (Date: 2007/04/26)
p18242
sbg8
(g9
g10
NtRp18243
(dp18244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/500b154c-f99b-4235-97c5-7ef48dfc67d5
p18245
sbg8
(g9
g10
NtRp18246
(dp18247
g13
Nsg14
g74
sg15
V2006
p18248
sbg8
(g9
g10
NtRp18249
(dp18250
g13
Nsg14
g74
sg15
V2007
p18251
sbg8
(g9
g10
NtRp18252
(dp18253
g13
Nsg14
Nsg15
VTRUE
p18254
sbg8
(g9
g10
NtRp18255
(dp18256
g13
Nsg14
Nsg15
VLand use|Linköping|Sweden
p18257
sbg8
(g9
g10
NtRp18258
(dp18259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18260
sbg8
(g9
g10
NtRp18261
(dp18262
g13
Nsg14
Nsg15
VFALSE
p18263
sbNg8
(g9
g10
NtRp18264
(dp18265
g13
Nsg14
Nsg15
VFALSE
p18266
sbNNNNNNNg8
(g9
g10
NtRp18267
(dp18268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18269
(dp18270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18271
(dp18272
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-se007l_linkoping_2006-2007
p18273
sbNg8
(g9
g10
NtRp18274
(dp18275
g13
Nsg14
Nsg15
Vobsolete
p18276
sbtp18277
a(g8
(g9
g10
NtRp18278
(dp18279
g13
Nsg14
Nsg15
V4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1
p18280
sbNg8
(g9
g10
NtRp18281
(dp18282
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Nottingham
p18283
sbNNNNNg8
(g9
g10
NtRp18284
(dp18285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18286
sbg8
(g23
g10
NtRp18287
(dp18288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18289
sbNg8
(g9
g10
NtRp18290
(dp18291
g13
Nsg14
Nsg15
VFALSE
p18292
sbNNNg8
(g9
g10
NtRp18293
(dp18294
g13
Nsg14
Nsg15
VFALSE
p18295
sbNNg8
(g9
g10
NtRp18296
(dp18297
g13
Nsg14
Nsg15
VFALSE
p18298
sbNNg8
(g9
g10
NtRp18299
(dp18300
g13
Nsg14
Nsg15
VFALSE
p18301
sbNg8
(g9
g10
NtRp18302
(dp18303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1.png
p18304
sbNg8
(g9
g10
NtRp18305
(dp18306
g13
Nsg14
Nsg15
V2019-06-04
p18307
sbNNg8
(g9
g10
NtRp18308
(dp18309
g13
Nsg14
Nsg15
Vland use|urban area
p18310
sbg8
(g9
g10
NtRp18311
(dp18312
g13
Nsg14
Nsg15
Vvector
p18313
sbg8
(g9
g10
NtRp18314
(dp18315
g13
Nsg14
Nsg15
VSHP
p18316
sbNg8
(g9
g10
NtRp18317
(dp18318
g13
Nsg14
Nsg15
V1:10000
p18319
sbNg8
(g9
g10
NtRp18320
(dp18321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50292420609171128002B4 (PS) (Date: 2006/09/17)
p18322
sbg8
(g9
g10
NtRp18323
(dp18324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1
p18325
sbg8
(g9
g10
NtRp18326
(dp18327
g13
Nsg14
g74
sg15
V2006
p18328
sbg8
(g9
g10
NtRp18329
(dp18330
g13
Nsg14
g74
sg15
V2006
p18331
sbg8
(g9
g10
NtRp18332
(dp18333
g13
Nsg14
Nsg15
VFALSE
p18334
sbg8
(g9
g10
NtRp18335
(dp18336
g13
Nsg14
Nsg15
VLand use|Nottingham|United Kingdom
p18337
sbg8
(g9
g10
NtRp18338
(dp18339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18340
sbg8
(g9
g10
NtRp18341
(dp18342
g13
Nsg14
Nsg15
VFALSE
p18343
sbNg8
(g9
g10
NtRp18344
(dp18345
g13
Nsg14
Nsg15
VFALSE
p18346
sbNNNNNNNg8
(g9
g10
NtRp18347
(dp18348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18349
(dp18350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18351
(dp18352
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk029l_nottingham_2006
p18353
sbNg8
(g9
g10
NtRp18354
(dp18355
g13
Nsg14
Nsg15
Vobsolete
p18356
sbtp18357
a(g8
(g9
g10
NtRp18358
(dp18359
g13
Nsg14
Nsg15
Vce4ab96a-4339-474b-9a55-9179d96dc9fc
p18360
sbNg8
(g9
g10
NtRp18361
(dp18362
g13
Nsg14
Nsg15
VUrban Atlas - Poland - \u0141ód\u017a
p18363
sbNNNNNg8
(g9
g10
NtRp18364
(dp18365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18366
sbg8
(g23
g10
NtRp18367
(dp18368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18369
sbNg8
(g9
g10
NtRp18370
(dp18371
g13
Nsg14
Nsg15
VFALSE
p18372
sbNNNg8
(g9
g10
NtRp18373
(dp18374
g13
Nsg14
Nsg15
VFALSE
p18375
sbNNg8
(g9
g10
NtRp18376
(dp18377
g13
Nsg14
Nsg15
VFALSE
p18378
sbNNg8
(g9
g10
NtRp18379
(dp18380
g13
Nsg14
Nsg15
VFALSE
p18381
sbNg8
(g9
g10
NtRp18382
(dp18383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce4ab96a-4339-474b-9a55-9179d96dc9fc.png
p18384
sbNg8
(g9
g10
NtRp18385
(dp18386
g13
Nsg14
Nsg15
V2019-06-04
p18387
sbNNg8
(g9
g10
NtRp18388
(dp18389
g13
Nsg14
Nsg15
Vland use|urban area
p18390
sbg8
(g9
g10
NtRp18391
(dp18392
g13
Nsg14
Nsg15
Vvector
p18393
sbg8
(g9
g10
NtRp18394
(dp18395
g13
Nsg14
Nsg15
VSHP
p18396
sbNg8
(g9
g10
NtRp18397
(dp18398
g13
Nsg14
Nsg15
V1:10000
p18399
sbNg8
(g9
g10
NtRp18400
(dp18401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00182800002 (PS) (Date: 2005/09/18) \u000a                      * SPOT 5 2,50 m - 00182800040 (PS) (Date: 2007/10/16) \u000a                      * SPOT 5 2,50 m - 00182800045 (PS) (Date: 2008/08/19)
p18402
sbg8
(g9
g10
NtRp18403
(dp18404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce4ab96a-4339-474b-9a55-9179d96dc9fc
p18405
sbg8
(g9
g10
NtRp18406
(dp18407
g13
Nsg14
g74
sg15
V2005
p18408
sbg8
(g9
g10
NtRp18409
(dp18410
g13
Nsg14
g74
sg15
V2008
p18411
sbg8
(g9
g10
NtRp18412
(dp18413
g13
Nsg14
Nsg15
VTRUE
p18414
sbg8
(g9
g10
NtRp18415
(dp18416
g13
Nsg14
Nsg15
VLand use|Poland|\u0141ód\u017a
p18417
sbg8
(g9
g10
NtRp18418
(dp18419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18420
sbg8
(g9
g10
NtRp18421
(dp18422
g13
Nsg14
Nsg15
VFALSE
p18423
sbNg8
(g9
g10
NtRp18424
(dp18425
g13
Nsg14
Nsg15
VFALSE
p18426
sbNNNNNNNg8
(g9
g10
NtRp18427
(dp18428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18429
(dp18430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18431
(dp18432
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl002l_lodz_2005-2008
p18433
sbNg8
(g9
g10
NtRp18434
(dp18435
g13
Nsg14
Nsg15
Vobsolete
p18436
sbtp18437
a(g8
(g9
g10
NtRp18438
(dp18439
g13
Nsg14
Nsg15
V7f8f71aa-5960-4ca3-9215-045ea458d5fd
p18440
sbNg8
(g9
g10
NtRp18441
(dp18442
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Pozna\u0144
p18443
sbNNNNNg8
(g9
g10
NtRp18444
(dp18445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18446
sbg8
(g23
g10
NtRp18447
(dp18448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18449
sbNg8
(g9
g10
NtRp18450
(dp18451
g13
Nsg14
Nsg15
VFALSE
p18452
sbNNNg8
(g9
g10
NtRp18453
(dp18454
g13
Nsg14
Nsg15
VFALSE
p18455
sbNNg8
(g9
g10
NtRp18456
(dp18457
g13
Nsg14
Nsg15
VFALSE
p18458
sbNNg8
(g9
g10
NtRp18459
(dp18460
g13
Nsg14
Nsg15
VFALSE
p18461
sbNg8
(g9
g10
NtRp18462
(dp18463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f8f71aa-5960-4ca3-9215-045ea458d5fd.png
p18464
sbNg8
(g9
g10
NtRp18465
(dp18466
g13
Nsg14
Nsg15
V2019-06-04
p18467
sbNNg8
(g9
g10
NtRp18468
(dp18469
g13
Nsg14
Nsg15
Vland use|urban area
p18470
sbg8
(g9
g10
NtRp18471
(dp18472
g13
Nsg14
Nsg15
Vvector
p18473
sbg8
(g9
g10
NtRp18474
(dp18475
g13
Nsg14
Nsg15
VSHP
p18476
sbNg8
(g9
g10
NtRp18477
(dp18478
g13
Nsg14
Nsg15
V1:10000
p18479
sbNg8
(g9
g10
NtRp18480
(dp18481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00183538060 (PS) (Date: 2007/09/24) \u000a                      * SPOT 5 2,50 m - 00183538061 (PS) (Date: 2007/09/24) \u000a                      * SPOT 5 2,50 m - 00183538062 (PS) (Date: 2007/09/25) \u000a                      * SPOT 5 2,50 m - 00183538063 (PS) (Date: 2007/09/25)
p18482
sbg8
(g9
g10
NtRp18483
(dp18484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f8f71aa-5960-4ca3-9215-045ea458d5fd
p18485
sbg8
(g9
g10
NtRp18486
(dp18487
g13
Nsg14
g74
sg15
V2007
p18488
sbg8
(g9
g10
NtRp18489
(dp18490
g13
Nsg14
g74
sg15
V2007
p18491
sbg8
(g9
g10
NtRp18492
(dp18493
g13
Nsg14
Nsg15
VFALSE
p18494
sbg8
(g9
g10
NtRp18495
(dp18496
g13
Nsg14
Nsg15
VLand use|Poland|Pozna\u0144
p18497
sbg8
(g9
g10
NtRp18498
(dp18499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18500
sbg8
(g9
g10
NtRp18501
(dp18502
g13
Nsg14
Nsg15
VFALSE
p18503
sbNg8
(g9
g10
NtRp18504
(dp18505
g13
Nsg14
Nsg15
VFALSE
p18506
sbNNNNNNNg8
(g9
g10
NtRp18507
(dp18508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18509
(dp18510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18511
(dp18512
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl005l_poznan_2007
p18513
sbNg8
(g9
g10
NtRp18514
(dp18515
g13
Nsg14
Nsg15
Vobsolete
p18516
sbtp18517
a(g8
(g9
g10
NtRp18518
(dp18519
g13
Nsg14
Nsg15
V091dceb0-9828-440f-803b-8b78baf88787
p18520
sbNg8
(g9
g10
NtRp18521
(dp18522
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - \u017dilina
p18523
sbNNNNNg8
(g9
g10
NtRp18524
(dp18525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18526
sbg8
(g23
g10
NtRp18527
(dp18528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18529
sbNg8
(g9
g10
NtRp18530
(dp18531
g13
Nsg14
Nsg15
VFALSE
p18532
sbNNNg8
(g9
g10
NtRp18533
(dp18534
g13
Nsg14
Nsg15
VFALSE
p18535
sbNNg8
(g9
g10
NtRp18536
(dp18537
g13
Nsg14
Nsg15
VFALSE
p18538
sbNNg8
(g9
g10
NtRp18539
(dp18540
g13
Nsg14
Nsg15
VFALSE
p18541
sbNg8
(g9
g10
NtRp18542
(dp18543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/091dceb0-9828-440f-803b-8b78baf88787.png
p18544
sbNg8
(g9
g10
NtRp18545
(dp18546
g13
Nsg14
Nsg15
V2019-06-04
p18547
sbNNg8
(g9
g10
NtRp18548
(dp18549
g13
Nsg14
Nsg15
Vland use|urban area
p18550
sbg8
(g9
g10
NtRp18551
(dp18552
g13
Nsg14
Nsg15
Vvector
p18553
sbg8
(g9
g10
NtRp18554
(dp18555
g13
Nsg14
Nsg15
VSHP
p18556
sbNg8
(g9
g10
NtRp18557
(dp18558
g13
Nsg14
Nsg15
V1:10000
p18559
sbNg8
(g9
g10
NtRp18560
(dp18561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50722500705131009022B0 (PS) (Date: 2007/05/13) \u000a                      * Spot 5 2,50 m - 50722510705131009112B0 (PS) (Date: 2007/05/13) \u000a                      * Spot 5 2,50 m - 50742500708060933011B3(PS) (Date: 2007/08/06)
p18562
sbg8
(g9
g10
NtRp18563
(dp18564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/091dceb0-9828-440f-803b-8b78baf88787
p18565
sbg8
(g9
g10
NtRp18566
(dp18567
g13
Nsg14
g74
sg15
V2007
p18568
sbg8
(g9
g10
NtRp18569
(dp18570
g13
Nsg14
g74
sg15
V2007
p18571
sbg8
(g9
g10
NtRp18572
(dp18573
g13
Nsg14
Nsg15
VFALSE
p18574
sbg8
(g9
g10
NtRp18575
(dp18576
g13
Nsg14
Nsg15
VLand use|Slovakia|\u017dilina
p18577
sbg8
(g9
g10
NtRp18578
(dp18579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18580
sbg8
(g9
g10
NtRp18581
(dp18582
g13
Nsg14
Nsg15
VFALSE
p18583
sbNg8
(g9
g10
NtRp18584
(dp18585
g13
Nsg14
Nsg15
VFALSE
p18586
sbNNNNNNNg8
(g9
g10
NtRp18587
(dp18588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18589
(dp18590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18591
(dp18592
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk006l_zilina_2007
p18593
sbNg8
(g9
g10
NtRp18594
(dp18595
g13
Nsg14
Nsg15
Vobsolete
p18596
sbtp18597
a(g8
(g9
g10
NtRp18598
(dp18599
g13
Nsg14
Nsg15
Vc336546a-78a2-433a-ae83-c090be3c4f54
p18600
sbNg8
(g9
g10
NtRp18601
(dp18602
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Kielce
p18603
sbNNNNNg8
(g9
g10
NtRp18604
(dp18605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18606
sbg8
(g23
g10
NtRp18607
(dp18608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18609
sbNg8
(g9
g10
NtRp18610
(dp18611
g13
Nsg14
Nsg15
VFALSE
p18612
sbNNNg8
(g9
g10
NtRp18613
(dp18614
g13
Nsg14
Nsg15
VFALSE
p18615
sbNNg8
(g9
g10
NtRp18616
(dp18617
g13
Nsg14
Nsg15
VFALSE
p18618
sbNNg8
(g9
g10
NtRp18619
(dp18620
g13
Nsg14
Nsg15
VFALSE
p18621
sbNg8
(g9
g10
NtRp18622
(dp18623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c336546a-78a2-433a-ae83-c090be3c4f54.png
p18624
sbNg8
(g9
g10
NtRp18625
(dp18626
g13
Nsg14
Nsg15
V2019-06-04
p18627
sbNNg8
(g9
g10
NtRp18628
(dp18629
g13
Nsg14
Nsg15
Vland use|urban area
p18630
sbg8
(g9
g10
NtRp18631
(dp18632
g13
Nsg14
Nsg15
Vvector
p18633
sbg8
(g9
g10
NtRp18634
(dp18635
g13
Nsg14
Nsg15
VSHP
p18636
sbNg8
(g9
g10
NtRp18637
(dp18638
g13
Nsg14
Nsg15
V1:10000
p18639
sbNg8
(g9
g10
NtRp18640
(dp18641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394007 (PS) (Date: 2005/09/09) \u000a                      * Spot 5 2,50 m - 00186394009 (PS) (Date: 2005/09/19) \u000a                      * Spot 5 2,50 m - 00186394010 (PS) (Date: 2005/09/19) \u000a                      * Spot 5 2,50 m - 00186394031 (PS) (Date: 2006/07/17)
p18642
sbg8
(g9
g10
NtRp18643
(dp18644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c336546a-78a2-433a-ae83-c090be3c4f54
p18645
sbg8
(g9
g10
NtRp18646
(dp18647
g13
Nsg14
g74
sg15
V2005
p18648
sbg8
(g9
g10
NtRp18649
(dp18650
g13
Nsg14
g74
sg15
V2006
p18651
sbg8
(g9
g10
NtRp18652
(dp18653
g13
Nsg14
Nsg15
VTRUE
p18654
sbg8
(g9
g10
NtRp18655
(dp18656
g13
Nsg14
Nsg15
VKielce|Land use|Poland
p18657
sbg8
(g9
g10
NtRp18658
(dp18659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18660
sbg8
(g9
g10
NtRp18661
(dp18662
g13
Nsg14
Nsg15
VFALSE
p18663
sbNg8
(g9
g10
NtRp18664
(dp18665
g13
Nsg14
Nsg15
VFALSE
p18666
sbNNNNNNNg8
(g9
g10
NtRp18667
(dp18668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18669
(dp18670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18671
(dp18672
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl012l_kielce_2005-2006
p18673
sbNg8
(g9
g10
NtRp18674
(dp18675
g13
Nsg14
Nsg15
Vobsolete
p18676
sbtp18677
a(g8
(g9
g10
NtRp18678
(dp18679
g13
Nsg14
Nsg15
V5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b
p18680
sbNg8
(g9
g10
NtRp18681
(dp18682
g13
Nsg14
Nsg15
VUrban Atlas - Lithuania - Panev\u0117\u017eys
p18683
sbNNNNNg8
(g9
g10
NtRp18684
(dp18685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18686
sbg8
(g23
g10
NtRp18687
(dp18688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18689
sbNg8
(g9
g10
NtRp18690
(dp18691
g13
Nsg14
Nsg15
VFALSE
p18692
sbNNNg8
(g9
g10
NtRp18693
(dp18694
g13
Nsg14
Nsg15
VFALSE
p18695
sbNNg8
(g9
g10
NtRp18696
(dp18697
g13
Nsg14
Nsg15
VFALSE
p18698
sbNNg8
(g9
g10
NtRp18699
(dp18700
g13
Nsg14
Nsg15
VFALSE
p18701
sbNg8
(g9
g10
NtRp18702
(dp18703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b.png
p18704
sbNg8
(g9
g10
NtRp18705
(dp18706
g13
Nsg14
Nsg15
V2019-06-04
p18707
sbNNg8
(g9
g10
NtRp18708
(dp18709
g13
Nsg14
Nsg15
Vland use|urban area
p18710
sbg8
(g9
g10
NtRp18711
(dp18712
g13
Nsg14
Nsg15
Vvector
p18713
sbg8
(g9
g10
NtRp18714
(dp18715
g13
Nsg14
Nsg15
VSHP
p18716
sbNg8
(g9
g10
NtRp18717
(dp18718
g13
Nsg14
Nsg15
V1:10000
p18719
sbNg8
(g9
g10
NtRp18720
(dp18721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00183756053 (PS) (Date: 2007/06/04) \u000a                      * SPOT 5 2,50 m - 00183756054 (PS) (Date: 2007/07/17) \u000a                      * SPOT 5 2,50 m - 00183538033 (PS) (Date: 2006/07/28)
p18722
sbg8
(g9
g10
NtRp18723
(dp18724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b
p18725
sbg8
(g9
g10
NtRp18726
(dp18727
g13
Nsg14
g74
sg15
V2006
p18728
sbg8
(g9
g10
NtRp18729
(dp18730
g13
Nsg14
g74
sg15
V2007
p18731
sbg8
(g9
g10
NtRp18732
(dp18733
g13
Nsg14
Nsg15
VTRUE
p18734
sbg8
(g9
g10
NtRp18735
(dp18736
g13
Nsg14
Nsg15
VLand use|Lithuania|Panev\u0117\u017eys
p18737
sbg8
(g9
g10
NtRp18738
(dp18739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18740
sbg8
(g9
g10
NtRp18741
(dp18742
g13
Nsg14
Nsg15
VFALSE
p18743
sbNg8
(g9
g10
NtRp18744
(dp18745
g13
Nsg14
Nsg15
VFALSE
p18746
sbNNNNNNNg8
(g9
g10
NtRp18747
(dp18748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18749
(dp18750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18751
(dp18752
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-lt003l_panevezys_2006-2007
p18753
sbNg8
(g9
g10
NtRp18754
(dp18755
g13
Nsg14
Nsg15
Vobsolete
p18756
sbtp18757
a(g8
(g9
g10
NtRp18758
(dp18759
g13
Nsg14
Nsg15
V339354a8-5f56-4731-a5df-b7f35f94e290
p18760
sbNg8
(g9
g10
NtRp18761
(dp18762
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Caserta
p18763
sbNNNNNg8
(g9
g10
NtRp18764
(dp18765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18766
sbg8
(g23
g10
NtRp18767
(dp18768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18769
sbNg8
(g9
g10
NtRp18770
(dp18771
g13
Nsg14
Nsg15
VFALSE
p18772
sbNNNg8
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g10
NtRp18773
(dp18774
g13
Nsg14
Nsg15
VFALSE
p18775
sbNNg8
(g9
g10
NtRp18776
(dp18777
g13
Nsg14
Nsg15
VFALSE
p18778
sbNNg8
(g9
g10
NtRp18779
(dp18780
g13
Nsg14
Nsg15
VFALSE
p18781
sbNg8
(g9
g10
NtRp18782
(dp18783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/339354a8-5f56-4731-a5df-b7f35f94e290.png
p18784
sbNg8
(g9
g10
NtRp18785
(dp18786
g13
Nsg14
Nsg15
V2019-06-04
p18787
sbNNg8
(g9
g10
NtRp18788
(dp18789
g13
Nsg14
Nsg15
Vland use|urban area
p18790
sbg8
(g9
g10
NtRp18791
(dp18792
g13
Nsg14
Nsg15
Vvector
p18793
sbg8
(g9
g10
NtRp18794
(dp18795
g13
Nsg14
Nsg15
VSHP
p18796
sbNg8
(g9
g10
NtRp18797
(dp18798
g13
Nsg14
Nsg15
V1:10000
p18799
sbNg8
(g9
g10
NtRp18800
(dp18801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50702670608161005322B2 (PS) (Date: 2006/08/16) \u000a                      * Spot 5 2,50 m - 50712680607161001482B0 (PS) (Date: 2006/07/16)
p18802
sbg8
(g9
g10
NtRp18803
(dp18804
g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/339354a8-5f56-4731-a5df-b7f35f94e290
p18805
sbg8
(g9
g10
NtRp18806
(dp18807
g13
Nsg14
g74
sg15
V2006
p18808
sbg8
(g9
g10
NtRp18809
(dp18810
g13
Nsg14
g74
sg15
V2006
p18811
sbg8
(g9
g10
NtRp18812
(dp18813
g13
Nsg14
Nsg15
VFALSE
p18814
sbg8
(g9
g10
NtRp18815
(dp18816
g13
Nsg14
Nsg15
VCaserta|Italy|Land use
p18817
sbg8
(g9
g10
NtRp18818
(dp18819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18820
sbg8
(g9
g10
NtRp18821
(dp18822
g13
Nsg14
Nsg15
VFALSE
p18823
sbNg8
(g9
g10
NtRp18824
(dp18825
g13
Nsg14
Nsg15
VFALSE
p18826
sbNNNNNNNg8
(g9
g10
NtRp18827
(dp18828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18829
(dp18830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18831
(dp18832
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it021l_caserta_2006
p18833
sbNg8
(g9
g10
NtRp18834
(dp18835
g13
Nsg14
Nsg15
Vobsolete
p18836
sbtp18837
a(g8
(g9
g10
NtRp18838
(dp18839
g13
Nsg14
Nsg15
Vec79afca-27c7-4684-a54f-1d37f6b936ad
p18840
sbNg8
(g9
g10
NtRp18841
(dp18842
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Murcia
p18843
sbNNNNNg8
(g9
g10
NtRp18844
(dp18845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18846
sbg8
(g23
g10
NtRp18847
(dp18848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18849
sbNg8
(g9
g10
NtRp18850
(dp18851
g13
Nsg14
Nsg15
VFALSE
p18852
sbNNNg8
(g9
g10
NtRp18853
(dp18854
g13
Nsg14
Nsg15
VFALSE
p18855
sbNNg8
(g9
g10
NtRp18856
(dp18857
g13
Nsg14
Nsg15
VFALSE
p18858
sbNNg8
(g9
g10
NtRp18859
(dp18860
g13
Nsg14
Nsg15
VFALSE
p18861
sbNg8
(g9
g10
NtRp18862
(dp18863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec79afca-27c7-4684-a54f-1d37f6b936ad.png
p18864
sbNg8
(g9
g10
NtRp18865
(dp18866
g13
Nsg14
Nsg15
V2019-06-04
p18867
sbNNg8
(g9
g10
NtRp18868
(dp18869
g13
Nsg14
Nsg15
Vland use|urban area
p18870
sbg8
(g9
g10
NtRp18871
(dp18872
g13
Nsg14
Nsg15
Vvector
p18873
sbg8
(g9
g10
NtRp18874
(dp18875
g13
Nsg14
Nsg15
VSHP
p18876
sbNg8
(g9
g10
NtRp18877
(dp18878
g13
Nsg14
Nsg15
V1:10000
p18879
sbNg8
(g9
g10
NtRp18880
(dp18881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080427_105513_DLR_12025_PRUTM (XS) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080427_105521_DLR_12025_PRUTM (XS) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080629_105638_DLR_12944_PRUTM (XS) (Date: 2008/06/29) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080629_105646_DLR_12944_PRUTM (XS) (Date: 2008/06/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070512_110013_DLR_6905_PRUTM (P) (Date: 2007/05/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070512_110017_DLR_6905_PRUTM (P) (Date: 2007/05/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070529_110223_DLR_7153_PRUTM (P) (Date: 2007/05/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080629_105642_DLR_12944_PRUTM (P) (Date: 2008/06/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080629_105646_DLR_12944_PRUTM (P) (Date: 2008/06/29) \u000a                      * SPOT 5 2,50m - 50402730608241053252J7 (XS) (Date: 2006/08/24) \u000a                      * SPOT 5 2,50m - 50412740506241047321J0 (XS) (Date: 2005/06/24)
p18882
sbg8
(g9
g10
NtRp18883
(dp18884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec79afca-27c7-4684-a54f-1d37f6b936ad
p18885
sbg8
(g9
g10
NtRp18886
(dp18887
g13
Nsg14
g74
sg15
V2005
p18888
sbg8
(g9
g10
NtRp18889
(dp18890
g13
Nsg14
g74
sg15
V2008
p18891
sbg8
(g9
g10
NtRp18892
(dp18893
g13
Nsg14
Nsg15
VTRUE
p18894
sbg8
(g9
g10
NtRp18895
(dp18896
g13
Nsg14
Nsg15
VLand use|Murcia|Spain
p18897
sbg8
(g9
g10
NtRp18898
(dp18899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18900
sbg8
(g9
g10
NtRp18901
(dp18902
g13
Nsg14
Nsg15
VFALSE
p18903
sbNg8
(g9
g10
NtRp18904
(dp18905
g13
Nsg14
Nsg15
VFALSE
p18906
sbNNNNNNNg8
(g9
g10
NtRp18907
(dp18908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18909
(dp18910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18911
(dp18912
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es007l_murcia_2005-2008
p18913
sbNg8
(g9
g10
NtRp18914
(dp18915
g13
Nsg14
Nsg15
Vobsolete
p18916
sbtp18917
a(g8
(g9
g10
NtRp18918
(dp18919
g13
Nsg14
Nsg15
V902d8085-13a3-40a0-890f-a05a98269b19
p18920
sbNg8
(g9
g10
NtRp18921
(dp18922
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Belfast (Béal Feirste)
p18923
sbNNNNNg8
(g9
g10
NtRp18924
(dp18925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p18926
sbg8
(g23
g10
NtRp18927
(dp18928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p18929
sbNg8
(g9
g10
NtRp18930
(dp18931
g13
Nsg14
Nsg15
VFALSE
p18932
sbNNNg8
(g9
g10
NtRp18933
(dp18934
g13
Nsg14
Nsg15
VFALSE
p18935
sbNNg8
(g9
g10
NtRp18936
(dp18937
g13
Nsg14
Nsg15
VFALSE
p18938
sbNNg8
(g9
g10
NtRp18939
(dp18940
g13
Nsg14
Nsg15
VFALSE
p18941
sbNg8
(g9
g10
NtRp18942
(dp18943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/902d8085-13a3-40a0-890f-a05a98269b19.png
p18944
sbNg8
(g9
g10
NtRp18945
(dp18946
g13
Nsg14
Nsg15
V2019-06-04
p18947
sbNNg8
(g9
g10
NtRp18948
(dp18949
g13
Nsg14
Nsg15
Vland use|urban area
p18950
sbg8
(g9
g10
NtRp18951
(dp18952
g13
Nsg14
Nsg15
Vvector
p18953
sbg8
(g9
g10
NtRp18954
(dp18955
g13
Nsg14
Nsg15
VSHP
p18956
sbNg8
(g9
g10
NtRp18957
(dp18958
g13
Nsg14
Nsg15
V1:10000
p18959
sbNg8
(g9
g10
NtRp18960
(dp18961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - PVIEW_BELFAST (PS) (Date: 2009/09/13)
p18962
sbg8
(g9
g10
NtRp18963
(dp18964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902d8085-13a3-40a0-890f-a05a98269b19
p18965
sbg8
(g9
g10
NtRp18966
(dp18967
g13
Nsg14
g74
sg15
V2009
p18968
sbg8
(g9
g10
NtRp18969
(dp18970
g13
Nsg14
g74
sg15
V2009
p18971
sbg8
(g9
g10
NtRp18972
(dp18973
g13
Nsg14
Nsg15
VFALSE
p18974
sbg8
(g9
g10
NtRp18975
(dp18976
g13
Nsg14
Nsg15
VBelfast|Land use|United Kingdom
p18977
sbg8
(g9
g10
NtRp18978
(dp18979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p18980
sbg8
(g9
g10
NtRp18981
(dp18982
g13
Nsg14
Nsg15
VFALSE
p18983
sbNg8
(g9
g10
NtRp18984
(dp18985
g13
Nsg14
Nsg15
VFALSE
p18986
sbNNNNNNNg8
(g9
g10
NtRp18987
(dp18988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp18989
(dp18990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp18991
(dp18992
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk012l_belfast_2009
p18993
sbNg8
(g9
g10
NtRp18994
(dp18995
g13
Nsg14
Nsg15
Vobsolete
p18996
sbtp18997
a(g8
(g9
g10
NtRp18998
(dp18999
g13
Nsg14
Nsg15
V28ecff51-15fb-49aa-bd9b-6cddbd238737
p19000
sbNg8
(g9
g10
NtRp19001
(dp19002
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Darmstadt
p19003
sbNNNNNg8
(g9
g10
NtRp19004
(dp19005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19006
sbg8
(g23
g10
NtRp19007
(dp19008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19009
sbNg8
(g9
g10
NtRp19010
(dp19011
g13
Nsg14
Nsg15
VFALSE
p19012
sbNNNg8
(g9
g10
NtRp19013
(dp19014
g13
Nsg14
Nsg15
VFALSE
p19015
sbNNg8
(g9
g10
NtRp19016
(dp19017
g13
Nsg14
Nsg15
VFALSE
p19018
sbNNg8
(g9
g10
NtRp19019
(dp19020
g13
Nsg14
Nsg15
VFALSE
p19021
sbNg8
(g9
g10
NtRp19022
(dp19023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ecff51-15fb-49aa-bd9b-6cddbd238737.png
p19024
sbNg8
(g9
g10
NtRp19025
(dp19026
g13
Nsg14
Nsg15
V2019-06-04
p19027
sbNNg8
(g9
g10
NtRp19028
(dp19029
g13
Nsg14
Nsg15
Vland use|urban area
p19030
sbg8
(g9
g10
NtRp19031
(dp19032
g13
Nsg14
Nsg15
Vvector
p19033
sbg8
(g9
g10
NtRp19034
(dp19035
g13
Nsg14
Nsg15
VSHP
p19036
sbNg8
(g9
g10
NtRp19037
(dp19038
g13
Nsg14
Nsg15
V1:10000
p19039
sbNg8
(g9
g10
NtRp19040
(dp19041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080626_102943_DLR_12900_PRUTM (XS) (Date: 2008/06/26) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_103015_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_103019_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080626_102943_DLR_12900_PRUTM (P) (Date: 2008/06/26) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080626_102947_DLR_12900_PRUTM (P) (Date: 2008/06/26)
p19042
sbg8
(g9
g10
NtRp19043
(dp19044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ecff51-15fb-49aa-bd9b-6cddbd238737
p19045
sbg8
(g9
g10
NtRp19046
(dp19047
g13
Nsg14
g74
sg15
V2008
p19048
sbg8
(g9
g10
NtRp19049
(dp19050
g13
Nsg14
g74
sg15
V2008
p19051
sbg8
(g9
g10
NtRp19052
(dp19053
g13
Nsg14
Nsg15
VFALSE
p19054
sbg8
(g9
g10
NtRp19055
(dp19056
g13
Nsg14
Nsg15
VDarmstadt|Germany|Land use
p19057
sbg8
(g9
g10
NtRp19058
(dp19059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19060
sbg8
(g9
g10
NtRp19061
(dp19062
g13
Nsg14
Nsg15
VFALSE
p19063
sbNg8
(g9
g10
NtRp19064
(dp19065
g13
Nsg14
Nsg15
VFALSE
p19066
sbNNNNNNNg8
(g9
g10
NtRp19067
(dp19068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19069
(dp19070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19071
(dp19072
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de025l_darmstadt_2008
p19073
sbNg8
(g9
g10
NtRp19074
(dp19075
g13
Nsg14
Nsg15
Vobsolete
p19076
sbtp19077
a(g8
(g9
g10
NtRp19078
(dp19079
g13
Nsg14
Nsg15
V0406f49f-5221-47a9-a186-c46a4e7835df
p19080
sbNg8
(g9
g10
NtRp19081
(dp19082
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Brno
p19083
sbNNNNNg8
(g9
g10
NtRp19084
(dp19085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19086
sbg8
(g23
g10
NtRp19087
(dp19088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19089
sbNg8
(g9
g10
NtRp19090
(dp19091
g13
Nsg14
Nsg15
VFALSE
p19092
sbNNNg8
(g9
g10
NtRp19093
(dp19094
g13
Nsg14
Nsg15
VFALSE
p19095
sbNNg8
(g9
g10
NtRp19096
(dp19097
g13
Nsg14
Nsg15
VFALSE
p19098
sbNNg8
(g9
g10
NtRp19099
(dp19100
g13
Nsg14
Nsg15
VFALSE
p19101
sbNg8
(g9
g10
NtRp19102
(dp19103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0406f49f-5221-47a9-a186-c46a4e7835df.png
p19104
sbNg8
(g9
g10
NtRp19105
(dp19106
g13
Nsg14
Nsg15
V2019-06-04
p19107
sbNNg8
(g9
g10
NtRp19108
(dp19109
g13
Nsg14
Nsg15
Vland use|urban area
p19110
sbg8
(g9
g10
NtRp19111
(dp19112
g13
Nsg14
Nsg15
Vvector
p19113
sbg8
(g9
g10
NtRp19114
(dp19115
g13
Nsg14
Nsg15
VSHP
p19116
sbNg8
(g9
g10
NtRp19117
(dp19118
g13
Nsg14
Nsg15
V1:10000
p19119
sbNg8
(g9
g10
NtRp19120
(dp19121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800012 (PS) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 00182800013 (PS) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 00182800026 (PS) (Date: 2007/05/02) \u000a                      * Spot 5 2,50 m - 00182800027 (PS) (Date: 2007/05/03)
p19122
sbg8
(g9
g10
NtRp19123
(dp19124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0406f49f-5221-47a9-a186-c46a4e7835df
p19125
sbg8
(g9
g10
NtRp19126
(dp19127
g13
Nsg14
g74
sg15
V2006
p19128
sbg8
(g9
g10
NtRp19129
(dp19130
g13
Nsg14
g74
sg15
V2007
p19131
sbg8
(g9
g10
NtRp19132
(dp19133
g13
Nsg14
Nsg15
VTRUE
p19134
sbg8
(g9
g10
NtRp19135
(dp19136
g13
Nsg14
Nsg15
VBrno|Czechia|Land use
p19137
sbg8
(g9
g10
NtRp19138
(dp19139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19140
sbg8
(g9
g10
NtRp19141
(dp19142
g13
Nsg14
Nsg15
VFALSE
p19143
sbNg8
(g9
g10
NtRp19144
(dp19145
g13
Nsg14
Nsg15
VFALSE
p19146
sbNNNNNNNg8
(g9
g10
NtRp19147
(dp19148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19149
(dp19150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19151
(dp19152
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz002l_brno_2006-2007
p19153
sbNg8
(g9
g10
NtRp19154
(dp19155
g13
Nsg14
Nsg15
Vobsolete
p19156
sbtp19157
a(g8
(g9
g10
NtRp19158
(dp19159
g13
Nsg14
Nsg15
V61c37af3-130c-498a-871e-a4e988276d81
p19160
sbNg8
(g9
g10
NtRp19161
(dp19162
g13
Nsg14
Nsg15
VUrban Atlas - France - Besançon
p19163
sbNNNNNg8
(g9
g10
NtRp19164
(dp19165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19166
sbg8
(g23
g10
NtRp19167
(dp19168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19169
sbNg8
(g9
g10
NtRp19170
(dp19171
g13
Nsg14
Nsg15
VFALSE
p19172
sbNNNg8
(g9
g10
NtRp19173
(dp19174
g13
Nsg14
Nsg15
VFALSE
p19175
sbNNg8
(g9
g10
NtRp19176
(dp19177
g13
Nsg14
Nsg15
VFALSE
p19178
sbNNg8
(g9
g10
NtRp19179
(dp19180
g13
Nsg14
Nsg15
VFALSE
p19181
sbNg8
(g9
g10
NtRp19182
(dp19183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/61c37af3-130c-498a-871e-a4e988276d81.png
p19184
sbNg8
(g9
g10
NtRp19185
(dp19186
g13
Nsg14
Nsg15
V2019-06-04
p19187
sbNNg8
(g9
g10
NtRp19188
(dp19189
g13
Nsg14
Nsg15
Vland use|urban area
p19190
sbg8
(g9
g10
NtRp19191
(dp19192
g13
Nsg14
Nsg15
Vvector
p19193
sbg8
(g9
g10
NtRp19194
(dp19195
g13
Nsg14
Nsg15
VSHP
p19196
sbNg8
(g9
g10
NtRp19197
(dp19198
g13
Nsg14
Nsg15
V1:10000
p19199
sbNg8
(g9
g10
NtRp19200
(dp19201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - RI-112-GEOTIFF-217820213-2007042910342791246616312 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-113-GEOTIFF-217840213-2007042910313709358912784 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-114-GEOTIFF-217840214-2007042910314034260412312 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-115-GEOTIFF-217840215-2007042910314358483011818 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-116-GEOTIFF-217850214-2007042910330613785015327 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-117-GEOTIFF-217860213-2007042910330289195415808 (PS) (Date: 2007/04/29) \u000a                      * Spot 5 2,50 m - RI-140-GEOTIFF-217850215-2007042910330937973414832 (PS) (Date: 2007/04/29)
p19202
sbg8
(g9
g10
NtRp19203
(dp19204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61c37af3-130c-498a-871e-a4e988276d81
p19205
sbg8
(g9
g10
NtRp19206
(dp19207
g13
Nsg14
g74
sg15
V2007
p19208
sbg8
(g9
g10
NtRp19209
(dp19210
g13
Nsg14
g74
sg15
V2007
p19211
sbg8
(g9
g10
NtRp19212
(dp19213
g13
Nsg14
Nsg15
VFALSE
p19214
sbg8
(g9
g10
NtRp19215
(dp19216
g13
Nsg14
Nsg15
VBesançon|France|Land use
p19217
sbg8
(g9
g10
NtRp19218
(dp19219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19220
sbg8
(g9
g10
NtRp19221
(dp19222
g13
Nsg14
Nsg15
VFALSE
p19223
sbNg8
(g9
g10
NtRp19224
(dp19225
g13
Nsg14
Nsg15
VFALSE
p19226
sbNNNNNNNg8
(g9
g10
NtRp19227
(dp19228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19229
(dp19230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19231
(dp19232
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr025l_besancon_2007
p19233
sbNg8
(g9
g10
NtRp19234
(dp19235
g13
Nsg14
Nsg15
Vobsolete
p19236
sbtp19237
a(g8
(g9
g10
NtRp19238
(dp19239
g13
Nsg14
Nsg15
Vdbb63c68-6b9a-40c7-ab0a-64f7156d799f
p19240
sbNg8
(g9
g10
NtRp19241
(dp19242
g13
Nsg14
Nsg15
VUrban Atlas - France - Toulouse
p19243
sbNNNNNg8
(g9
g10
NtRp19244
(dp19245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19246
sbg8
(g23
g10
NtRp19247
(dp19248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19249
sbNg8
(g9
g10
NtRp19250
(dp19251
g13
Nsg14
Nsg15
VFALSE
p19252
sbNNNg8
(g9
g10
NtRp19253
(dp19254
g13
Nsg14
Nsg15
VFALSE
p19255
sbNNg8
(g9
g10
NtRp19256
(dp19257
g13
Nsg14
Nsg15
VFALSE
p19258
sbNNg8
(g9
g10
NtRp19259
(dp19260
g13
Nsg14
Nsg15
VFALSE
p19261
sbNg8
(g9
g10
NtRp19262
(dp19263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/dbb63c68-6b9a-40c7-ab0a-64f7156d799f.png
p19264
sbNg8
(g9
g10
NtRp19265
(dp19266
g13
Nsg14
Nsg15
V2019-06-04
p19267
sbNNg8
(g9
g10
NtRp19268
(dp19269
g13
Nsg14
Nsg15
Vland use|urban area
p19270
sbg8
(g9
g10
NtRp19271
(dp19272
g13
Nsg14
Nsg15
Vvector
p19273
sbg8
(g9
g10
NtRp19274
(dp19275
g13
Nsg14
Nsg15
VSHP
p19276
sbNg8
(g9
g10
NtRp19277
(dp19278
g13
Nsg14
Nsg15
V1:10000
p19279
sbNg8
(g9
g10
NtRp19280
(dp19281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50422620503021039231B1 (P) (Date: 2005/03/02) \u000a                      * Spot 5 2,50 m - 50422620503021039231B5 (P) (Date: 2005/03/02) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070310_105629_DLR_5986_PREU (XS) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070310_105637_DLR_5986_PREU (XS) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070408_105423_DLR_6409_PREU (XS) (Date: 2007/04/08) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070408_105431_DLR_6409_PREU (XS) (Date: 2007/04/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070310_105625_DLR_5986_PREU (P) (Date: 2007/03/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070524_105423_DLR_7080_PREU (P) (Date: 2007/05/24) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070524_105427_DLR_7080_PREU (P) (Date: 2007/05/24) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105611_DLR_8670_PREU (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105615_DLR_8670_PREU (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105619_DLR_8670_PREU (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105339_DLR_12025_PREU (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105343_DLR_12025_PREU (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105343_DLR_12025_PREU_1 (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105347_DLR_12025_PREU (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105351_DLR_12025_PREU (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080728_105300_DLR_13367_PREU (P) (Date: 2008/07/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080826_105133_DLR_13790_PREU (P) (Date: 2008/07/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080826_105137_DLR_13790_PREU (P) (Date: 2008/07/28)
p19282
sbg8
(g9
g10
NtRp19283
(dp19284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dbb63c68-6b9a-40c7-ab0a-64f7156d799f
p19285
sbg8
(g9
g10
NtRp19286
(dp19287
g13
Nsg14
g74
sg15
V2005
p19288
sbg8
(g9
g10
NtRp19289
(dp19290
g13
Nsg14
g74
sg15
V2008
p19291
sbg8
(g9
g10
NtRp19292
(dp19293
g13
Nsg14
Nsg15
VTRUE
p19294
sbg8
(g9
g10
NtRp19295
(dp19296
g13
Nsg14
Nsg15
VFrance|Land use|Toulouse
p19297
sbg8
(g9
g10
NtRp19298
(dp19299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19300
sbg8
(g9
g10
NtRp19301
(dp19302
g13
Nsg14
Nsg15
VFALSE
p19303
sbNg8
(g9
g10
NtRp19304
(dp19305
g13
Nsg14
Nsg15
VFALSE
p19306
sbNNNNNNNg8
(g9
g10
NtRp19307
(dp19308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19309
(dp19310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19311
(dp19312
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr004l_toulouse_2005-2008
p19313
sbNg8
(g9
g10
NtRp19314
(dp19315
g13
Nsg14
Nsg15
Vobsolete
p19316
sbtp19317
a(g8
(g9
g10
NtRp19318
(dp19319
g13
Nsg14
Nsg15
V706f1d56-3644-420e-8de3-1812fee530fd
p19320
sbNg8
(g9
g10
NtRp19321
(dp19322
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Jönköping
p19323
sbNNNNNg8
(g9
g10
NtRp19324
(dp19325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19326
sbg8
(g23
g10
NtRp19327
(dp19328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19329
sbNg8
(g9
g10
NtRp19330
(dp19331
g13
Nsg14
Nsg15
VFALSE
p19332
sbNNNg8
(g9
g10
NtRp19333
(dp19334
g13
Nsg14
Nsg15
VFALSE
p19335
sbNNg8
(g9
g10
NtRp19336
(dp19337
g13
Nsg14
Nsg15
VFALSE
p19338
sbNNg8
(g9
g10
NtRp19339
(dp19340
g13
Nsg14
Nsg15
VFALSE
p19341
sbNg8
(g9
g10
NtRp19342
(dp19343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/706f1d56-3644-420e-8de3-1812fee530fd.png
p19344
sbNg8
(g9
g10
NtRp19345
(dp19346
g13
Nsg14
Nsg15
V2019-06-04
p19347
sbNNg8
(g9
g10
NtRp19348
(dp19349
g13
Nsg14
Nsg15
Vland use|urban area
p19350
sbg8
(g9
g10
NtRp19351
(dp19352
g13
Nsg14
Nsg15
Vvector
p19353
sbg8
(g9
g10
NtRp19354
(dp19355
g13
Nsg14
Nsg15
VSHP
p19356
sbNg8
(g9
g10
NtRp19357
(dp19358
g13
Nsg14
Nsg15
V1:10000
p19359
sbNg8
(g9
g10
NtRp19360
(dp19361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394020 (PS) (Date: 2006/06/13) \u000a                      * Spot 5 2,50 m - 00186394022 (PS) (Date: 2006/06/13) \u000a                      * Spot 5 2,50 m - 00186394042 (PS) (Date: 2007/09/13) \u000a                      * Spot 5 2,50 m - 00186394043 (PS) (Date: 2007/09/13) \u000a                      * Spot 5 2,50 m - 00186394048 (PS) (Date: 2007/10/31)
p19362
sbg8
(g9
g10
NtRp19363
(dp19364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/706f1d56-3644-420e-8de3-1812fee530fd
p19365
sbg8
(g9
g10
NtRp19366
(dp19367
g13
Nsg14
g74
sg15
V2006
p19368
sbg8
(g9
g10
NtRp19369
(dp19370
g13
Nsg14
g74
sg15
V2007
p19371
sbg8
(g9
g10
NtRp19372
(dp19373
g13
Nsg14
Nsg15
VTRUE
p19374
sbg8
(g9
g10
NtRp19375
(dp19376
g13
Nsg14
Nsg15
VJönköping|Land use|Sweden
p19377
sbg8
(g9
g10
NtRp19378
(dp19379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19380
sbg8
(g9
g10
NtRp19381
(dp19382
g13
Nsg14
Nsg15
VFALSE
p19383
sbNg8
(g9
g10
NtRp19384
(dp19385
g13
Nsg14
Nsg15
VFALSE
p19386
sbNNNNNNNg8
(g9
g10
NtRp19387
(dp19388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19389
(dp19390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19391
(dp19392
g13
Nsg14
Nsg15
Vregio_v_32633_50_k_urban-atlas-se004l_jonkoping_2006-2007
p19393
sbNg8
(g9
g10
NtRp19394
(dp19395
g13
Nsg14
Nsg15
Vobsolete
p19396
sbtp19397
a(g8
(g9
g10
NtRp19398
(dp19399
g13
Nsg14
Nsg15
Vcf1eb5bc-3187-4cce-9ccc-515f59517d59
p19400
sbNg8
(g9
g10
NtRp19401
(dp19402
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Konin
p19403
sbNNNNNg8
(g9
g10
NtRp19404
(dp19405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19406
sbg8
(g23
g10
NtRp19407
(dp19408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19409
sbNg8
(g9
g10
NtRp19410
(dp19411
g13
Nsg14
Nsg15
VFALSE
p19412
sbNNNg8
(g9
g10
NtRp19413
(dp19414
g13
Nsg14
Nsg15
VFALSE
p19415
sbNNg8
(g9
g10
NtRp19416
(dp19417
g13
Nsg14
Nsg15
VFALSE
p19418
sbNNg8
(g9
g10
NtRp19419
(dp19420
g13
Nsg14
Nsg15
VFALSE
p19421
sbNg8
(g9
g10
NtRp19422
(dp19423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cf1eb5bc-3187-4cce-9ccc-515f59517d59.png
p19424
sbNg8
(g9
g10
NtRp19425
(dp19426
g13
Nsg14
Nsg15
V2019-06-04
p19427
sbNNg8
(g9
g10
NtRp19428
(dp19429
g13
Nsg14
Nsg15
Vland use|urban area
p19430
sbg8
(g9
g10
NtRp19431
(dp19432
g13
Nsg14
Nsg15
Vvector
p19433
sbg8
(g9
g10
NtRp19434
(dp19435
g13
Nsg14
Nsg15
VSHP
p19436
sbNg8
(g9
g10
NtRp19437
(dp19438
g13
Nsg14
Nsg15
V1:10000
p19439
sbNg8
(g9
g10
NtRp19440
(dp19441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50692440607060950492B0 (PS) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 50702430607051009542B6 (PS) (Date: 2006/07/05)
p19442
sbg8
(g9
g10
NtRp19443
(dp19444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf1eb5bc-3187-4cce-9ccc-515f59517d59
p19445
sbg8
(g9
g10
NtRp19446
(dp19447
g13
Nsg14
g74
sg15
V2006
p19448
sbg8
(g9
g10
NtRp19449
(dp19450
g13
Nsg14
g74
sg15
V2006
p19451
sbg8
(g9
g10
NtRp19452
(dp19453
g13
Nsg14
Nsg15
VFALSE
p19454
sbg8
(g9
g10
NtRp19455
(dp19456
g13
Nsg14
Nsg15
VKonin|Land use|Poland
p19457
sbg8
(g9
g10
NtRp19458
(dp19459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19460
sbg8
(g9
g10
NtRp19461
(dp19462
g13
Nsg14
Nsg15
VFALSE
p19463
sbNg8
(g9
g10
NtRp19464
(dp19465
g13
Nsg14
Nsg15
VFALSE
p19466
sbNNNNNNNg8
(g9
g10
NtRp19467
(dp19468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19469
(dp19470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19471
(dp19472
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl022l_konin_2006
p19473
sbNg8
(g9
g10
NtRp19474
(dp19475
g13
Nsg14
Nsg15
Vobsolete
p19476
sbtp19477
a(g8
(g9
g10
NtRp19478
(dp19479
g13
Nsg14
Nsg15
V67362719-2ef3-49a4-8cfc-3ff34dd9249c
p19480
sbNg8
(g9
g10
NtRp19481
(dp19482
g13
Nsg14
Nsg15
VUrban Atlas - Slovenia - Maribor
p19483
sbNNNNNg8
(g9
g10
NtRp19484
(dp19485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19486
sbg8
(g23
g10
NtRp19487
(dp19488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19489
sbNg8
(g9
g10
NtRp19490
(dp19491
g13
Nsg14
Nsg15
VFALSE
p19492
sbNNNg8
(g9
g10
NtRp19493
(dp19494
g13
Nsg14
Nsg15
VFALSE
p19495
sbNNg8
(g9
g10
NtRp19496
(dp19497
g13
Nsg14
Nsg15
VFALSE
p19498
sbNNg8
(g9
g10
NtRp19499
(dp19500
g13
Nsg14
Nsg15
VFALSE
p19501
sbNg8
(g9
g10
NtRp19502
(dp19503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/67362719-2ef3-49a4-8cfc-3ff34dd9249c.png
p19504
sbNg8
(g9
g10
NtRp19505
(dp19506
g13
Nsg14
Nsg15
V2019-06-04
p19507
sbNNg8
(g9
g10
NtRp19508
(dp19509
g13
Nsg14
Nsg15
Vland use|urban area
p19510
sbg8
(g9
g10
NtRp19511
(dp19512
g13
Nsg14
Nsg15
Vvector
p19513
sbg8
(g9
g10
NtRp19514
(dp19515
g13
Nsg14
Nsg15
VSHP
p19516
sbNg8
(g9
g10
NtRp19517
(dp19518
g13
Nsg14
Nsg15
V1:10000
p19519
sbNg8
(g9
g10
NtRp19520
(dp19521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50702560611080948371B2 (P) (Date: 2006/11/08) \u000a                      * ALOS 10 m - AL_AV2_X_20070715_100158_DLR_7838_PRUTM (XS) (Date: 2007/07/15) \u000a                      * ALOS 10 m - AL_AV2_X_20080815_095650_DLR_13629_PRUTM (XS) (Date: 2008/08/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061012_100102_DLR_3812_PRUTM (P) (Date: 2006/10/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100158_DLR_7838_PRUTM (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100202_DLR_7838_PRUTM (P) (Date: 2007/07/15)
p19522
sbg8
(g9
g10
NtRp19523
(dp19524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/67362719-2ef3-49a4-8cfc-3ff34dd9249c
p19525
sbg8
(g9
g10
NtRp19526
(dp19527
g13
Nsg14
g74
sg15
V2006
p19528
sbg8
(g9
g10
NtRp19529
(dp19530
g13
Nsg14
g74
sg15
V2008
p19531
sbg8
(g9
g10
NtRp19532
(dp19533
g13
Nsg14
Nsg15
VTRUE
p19534
sbg8
(g9
g10
NtRp19535
(dp19536
g13
Nsg14
Nsg15
VLand use|Maribor|Slovenia
p19537
sbg8
(g9
g10
NtRp19538
(dp19539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19540
sbg8
(g9
g10
NtRp19541
(dp19542
g13
Nsg14
Nsg15
VFALSE
p19543
sbNg8
(g9
g10
NtRp19544
(dp19545
g13
Nsg14
Nsg15
VFALSE
p19546
sbNNNNNNNg8
(g9
g10
NtRp19547
(dp19548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19549
(dp19550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19551
(dp19552
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-si002l_maribor_2006-2008
p19553
sbNg8
(g9
g10
NtRp19554
(dp19555
g13
Nsg14
Nsg15
Vobsolete
p19556
sbtp19557
a(g8
(g9
g10
NtRp19558
(dp19559
g13
Nsg14
Nsg15
V6c59675d-5ea9-43ad-b074-c9f84e86aa44
p19560
sbNg8
(g9
g10
NtRp19561
(dp19562
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Bielefeld
p19563
sbNNNNNg8
(g9
g10
NtRp19564
(dp19565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19566
sbg8
(g23
g10
NtRp19567
(dp19568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19569
sbNg8
(g9
g10
NtRp19570
(dp19571
g13
Nsg14
Nsg15
VFALSE
p19572
sbNNNg8
(g9
g10
NtRp19573
(dp19574
g13
Nsg14
Nsg15
VFALSE
p19575
sbNNg8
(g9
g10
NtRp19576
(dp19577
g13
Nsg14
Nsg15
VFALSE
p19578
sbNNg8
(g9
g10
NtRp19579
(dp19580
g13
Nsg14
Nsg15
VFALSE
p19581
sbNg8
(g9
g10
NtRp19582
(dp19583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c59675d-5ea9-43ad-b074-c9f84e86aa44.png
p19584
sbNg8
(g9
g10
NtRp19585
(dp19586
g13
Nsg14
Nsg15
V2019-06-04
p19587
sbNNg8
(g9
g10
NtRp19588
(dp19589
g13
Nsg14
Nsg15
Vland use|urban area
p19590
sbg8
(g9
g10
NtRp19591
(dp19592
g13
Nsg14
Nsg15
Vvector
p19593
sbg8
(g9
g10
NtRp19594
(dp19595
g13
Nsg14
Nsg15
VSHP
p19596
sbNg8
(g9
g10
NtRp19597
(dp19598
g13
Nsg14
Nsg15
V1:10000
p19599
sbNg8
(g9
g10
NtRp19600
(dp19601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800002 (PS) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 00185800003 (PS) (Date: 2005/07/10) \u000a                      * Spot 5 2,50 m - 00185800004 (PS) (Date: 2006/07/03)
p19602
sbg8
(g9
g10
NtRp19603
(dp19604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c59675d-5ea9-43ad-b074-c9f84e86aa44
p19605
sbg8
(g9
g10
NtRp19606
(dp19607
g13
Nsg14
g74
sg15
V2005
p19608
sbg8
(g9
g10
NtRp19609
(dp19610
g13
Nsg14
g74
sg15
V2006
p19611
sbg8
(g9
g10
NtRp19612
(dp19613
g13
Nsg14
Nsg15
VTRUE
p19614
sbg8
(g9
g10
NtRp19615
(dp19616
g13
Nsg14
Nsg15
VBielefeld|Germany|Land use
p19617
sbg8
(g9
g10
NtRp19618
(dp19619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19620
sbg8
(g9
g10
NtRp19621
(dp19622
g13
Nsg14
Nsg15
VFALSE
p19623
sbNg8
(g9
g10
NtRp19624
(dp19625
g13
Nsg14
Nsg15
VFALSE
p19626
sbNNNNNNNg8
(g9
g10
NtRp19627
(dp19628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19629
(dp19630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19631
(dp19632
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de017l_bielefeld_2005-2006
p19633
sbNg8
(g9
g10
NtRp19634
(dp19635
g13
Nsg14
Nsg15
Vobsolete
p19636
sbtp19637
a(g8
(g9
g10
NtRp19638
(dp19639
g13
Nsg14
Nsg15
Vd70d028f-ba04-4646-b96c-2d6e5de19d24
p19640
sbNg8
(g9
g10
NtRp19641
(dp19642
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Patras (\u03a0\u03b1\u03c4\u03c1\u03b1\u03b9)
p19643
sbNNNNNg8
(g9
g10
NtRp19644
(dp19645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19646
sbg8
(g23
g10
NtRp19647
(dp19648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19649
sbNg8
(g9
g10
NtRp19650
(dp19651
g13
Nsg14
Nsg15
VFALSE
p19652
sbNNNg8
(g9
g10
NtRp19653
(dp19654
g13
Nsg14
Nsg15
VFALSE
p19655
sbNNg8
(g9
g10
NtRp19656
(dp19657
g13
Nsg14
Nsg15
VFALSE
p19658
sbNNg8
(g9
g10
NtRp19659
(dp19660
g13
Nsg14
Nsg15
VFALSE
p19661
sbNg8
(g9
g10
NtRp19662
(dp19663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d70d028f-ba04-4646-b96c-2d6e5de19d24.png
p19664
sbNg8
(g9
g10
NtRp19665
(dp19666
g13
Nsg14
Nsg15
V2019-06-04
p19667
sbNNg8
(g9
g10
NtRp19668
(dp19669
g13
Nsg14
Nsg15
Vland use|urban area
p19670
sbg8
(g9
g10
NtRp19671
(dp19672
g13
Nsg14
Nsg15
Vvector
p19673
sbg8
(g9
g10
NtRp19674
(dp19675
g13
Nsg14
Nsg15
VSHP
p19676
sbNg8
(g9
g10
NtRp19677
(dp19678
g13
Nsg14
Nsg15
V1:10000
p19679
sbNg8
(g9
g10
NtRp19680
(dp19681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800022 (PS) (Date: 2006/10/04) \u000a                      * Spot 5 2,50 m - 00182800025 (PS) (Date: 2006/11/09)
p19682
sbg8
(g9
g10
NtRp19683
(dp19684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d70d028f-ba04-4646-b96c-2d6e5de19d24
p19685
sbg8
(g9
g10
NtRp19686
(dp19687
g13
Nsg14
g74
sg15
V2006
p19688
sbg8
(g9
g10
NtRp19689
(dp19690
g13
Nsg14
g74
sg15
V2006
p19691
sbg8
(g9
g10
NtRp19692
(dp19693
g13
Nsg14
Nsg15
VFALSE
p19694
sbg8
(g9
g10
NtRp19695
(dp19696
g13
Nsg14
Nsg15
VGreece|Land use|Patras
p19697
sbg8
(g9
g10
NtRp19698
(dp19699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19700
sbg8
(g9
g10
NtRp19701
(dp19702
g13
Nsg14
Nsg15
VFALSE
p19703
sbNg8
(g9
g10
NtRp19704
(dp19705
g13
Nsg14
Nsg15
VFALSE
p19706
sbNNNNNNNg8
(g9
g10
NtRp19707
(dp19708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19709
(dp19710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19711
(dp19712
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr003l_patrai_2006
p19713
sbNg8
(g9
g10
NtRp19714
(dp19715
g13
Nsg14
Nsg15
Vobsolete
p19716
sbtp19717
a(g8
(g9
g10
NtRp19718
(dp19719
g13
Nsg14
Nsg15
V743133b6-b038-4e40-bc00-bf153aedbdf5
p19720
sbNg8
(g9
g10
NtRp19721
(dp19722
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Timi\u015foara
p19723
sbNNNNNg8
(g9
g10
NtRp19724
(dp19725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19726
sbg8
(g23
g10
NtRp19727
(dp19728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19729
sbNg8
(g9
g10
NtRp19730
(dp19731
g13
Nsg14
Nsg15
VFALSE
p19732
sbNNNg8
(g9
g10
NtRp19733
(dp19734
g13
Nsg14
Nsg15
VFALSE
p19735
sbNNg8
(g9
g10
NtRp19736
(dp19737
g13
Nsg14
Nsg15
VFALSE
p19738
sbNNg8
(g9
g10
NtRp19739
(dp19740
g13
Nsg14
Nsg15
VFALSE
p19741
sbNg8
(g9
g10
NtRp19742
(dp19743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/743133b6-b038-4e40-bc00-bf153aedbdf5.png
p19744
sbNg8
(g9
g10
NtRp19745
(dp19746
g13
Nsg14
Nsg15
V2019-06-04
p19747
sbNNg8
(g9
g10
NtRp19748
(dp19749
g13
Nsg14
Nsg15
Vland use|urban area
p19750
sbg8
(g9
g10
NtRp19751
(dp19752
g13
Nsg14
Nsg15
Vvector
p19753
sbg8
(g9
g10
NtRp19754
(dp19755
g13
Nsg14
Nsg15
VSHP
p19756
sbNg8
(g9
g10
NtRp19757
(dp19758
g13
Nsg14
Nsg15
V1:10000
p19759
sbNg8
(g9
g10
NtRp19760
(dp19761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 0018376055 (PS) (Date: 2007/07/17)
p19762
sbg8
(g9
g10
NtRp19763
(dp19764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/743133b6-b038-4e40-bc00-bf153aedbdf5
p19765
sbg8
(g9
g10
NtRp19766
(dp19767
g13
Nsg14
g74
sg15
V2007
p19768
sbg8
(g9
g10
NtRp19769
(dp19770
g13
Nsg14
g74
sg15
V2007
p19771
sbg8
(g9
g10
NtRp19772
(dp19773
g13
Nsg14
Nsg15
VFALSE
p19774
sbg8
(g9
g10
NtRp19775
(dp19776
g13
Nsg14
Nsg15
VLand use|Romania|Timi\u015foara
p19777
sbg8
(g9
g10
NtRp19778
(dp19779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19780
sbg8
(g9
g10
NtRp19781
(dp19782
g13
Nsg14
Nsg15
VFALSE
p19783
sbNg8
(g9
g10
NtRp19784
(dp19785
g13
Nsg14
Nsg15
VFALSE
p19786
sbNNNNNNNg8
(g9
g10
NtRp19787
(dp19788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19789
(dp19790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19791
(dp19792
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro003l_timisoara_2007
p19793
sbNg8
(g9
g10
NtRp19794
(dp19795
g13
Nsg14
Nsg15
Vobsolete
p19796
sbtp19797
a(g8
(g9
g10
NtRp19798
(dp19799
g13
Nsg14
Nsg15
Vdb4c9a4f-339a-48ee-ab90-4a06e22e5803
p19800
sbNg8
(g9
g10
NtRp19801
(dp19802
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Piatra Neam\u0163
p19803
sbNNNNNg8
(g9
g10
NtRp19804
(dp19805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19806
sbg8
(g23
g10
NtRp19807
(dp19808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19809
sbNg8
(g9
g10
NtRp19810
(dp19811
g13
Nsg14
Nsg15
VFALSE
p19812
sbNNNg8
(g9
g10
NtRp19813
(dp19814
g13
Nsg14
Nsg15
VFALSE
p19815
sbNNg8
(g9
g10
NtRp19816
(dp19817
g13
Nsg14
Nsg15
VFALSE
p19818
sbNNg8
(g9
g10
NtRp19819
(dp19820
g13
Nsg14
Nsg15
VFALSE
p19821
sbNg8
(g9
g10
NtRp19822
(dp19823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/db4c9a4f-339a-48ee-ab90-4a06e22e5803.png
p19824
sbNg8
(g9
g10
NtRp19825
(dp19826
g13
Nsg14
Nsg15
V2019-06-04
p19827
sbNNg8
(g9
g10
NtRp19828
(dp19829
g13
Nsg14
Nsg15
Vland use|urban area
p19830
sbg8
(g9
g10
NtRp19831
(dp19832
g13
Nsg14
Nsg15
Vvector
p19833
sbg8
(g9
g10
NtRp19834
(dp19835
g13
Nsg14
Nsg15
VSHP
p19836
sbNg8
(g9
g10
NtRp19837
(dp19838
g13
Nsg14
Nsg15
V1:10000
p19839
sbNg8
(g9
g10
NtRp19840
(dp19841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50902550511060905051B0 (PS) (Date: 2005/11/06)
p19842
sbg8
(g9
g10
NtRp19843
(dp19844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/db4c9a4f-339a-48ee-ab90-4a06e22e5803
p19845
sbg8
(g9
g10
NtRp19846
(dp19847
g13
Nsg14
g74
sg15
V2005
p19848
sbg8
(g9
g10
NtRp19849
(dp19850
g13
Nsg14
g74
sg15
V2005
p19851
sbg8
(g9
g10
NtRp19852
(dp19853
g13
Nsg14
Nsg15
VFALSE
p19854
sbg8
(g9
g10
NtRp19855
(dp19856
g13
Nsg14
Nsg15
VLand use|Piatra Neam\u0163|Romania
p19857
sbg8
(g9
g10
NtRp19858
(dp19859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19860
sbg8
(g9
g10
NtRp19861
(dp19862
g13
Nsg14
Nsg15
VFALSE
p19863
sbNg8
(g9
g10
NtRp19864
(dp19865
g13
Nsg14
Nsg15
VFALSE
p19866
sbNNNNNNNg8
(g9
g10
NtRp19867
(dp19868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19869
(dp19870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19871
(dp19872
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro011l_piatra_neamt_2005
p19873
sbNg8
(g9
g10
NtRp19874
(dp19875
g13
Nsg14
Nsg15
Vobsolete
p19876
sbtp19877
a(g8
(g9
g10
NtRp19878
(dp19879
g13
Nsg14
Nsg15
Vad196892-6857-40a6-a057-fccd01a9f735
p19880
sbNg8
(g9
g10
NtRp19881
(dp19882
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Karlsruhe
p19883
sbNNNNNg8
(g9
g10
NtRp19884
(dp19885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19886
sbg8
(g23
g10
NtRp19887
(dp19888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19889
sbNg8
(g9
g10
NtRp19890
(dp19891
g13
Nsg14
Nsg15
VFALSE
p19892
sbNNNg8
(g9
g10
NtRp19893
(dp19894
g13
Nsg14
Nsg15
VFALSE
p19895
sbNNg8
(g9
g10
NtRp19896
(dp19897
g13
Nsg14
Nsg15
VFALSE
p19898
sbNNg8
(g9
g10
NtRp19899
(dp19900
g13
Nsg14
Nsg15
VFALSE
p19901
sbNg8
(g9
g10
NtRp19902
(dp19903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad196892-6857-40a6-a057-fccd01a9f735.png
p19904
sbNg8
(g9
g10
NtRp19905
(dp19906
g13
Nsg14
Nsg15
V2019-06-04
p19907
sbNNg8
(g9
g10
NtRp19908
(dp19909
g13
Nsg14
Nsg15
Vland use|urban area
p19910
sbg8
(g9
g10
NtRp19911
(dp19912
g13
Nsg14
Nsg15
Vvector
p19913
sbg8
(g9
g10
NtRp19914
(dp19915
g13
Nsg14
Nsg15
VSHP
p19916
sbNg8
(g9
g10
NtRp19917
(dp19918
g13
Nsg14
Nsg15
V1:10000
p19919
sbNg8
(g9
g10
NtRp19920
(dp19921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot5 2,50 m - 00183538017 (PS) (Date: 2005/09/20)
p19922
sbg8
(g9
g10
NtRp19923
(dp19924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad196892-6857-40a6-a057-fccd01a9f735
p19925
sbg8
(g9
g10
NtRp19926
(dp19927
g13
Nsg14
g74
sg15
V2005
p19928
sbg8
(g9
g10
NtRp19929
(dp19930
g13
Nsg14
g74
sg15
V2005
p19931
sbg8
(g9
g10
NtRp19932
(dp19933
g13
Nsg14
Nsg15
VFALSE
p19934
sbg8
(g9
g10
NtRp19935
(dp19936
g13
Nsg14
Nsg15
VGermany|Karlsruhe|Land use
p19937
sbg8
(g9
g10
NtRp19938
(dp19939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p19940
sbg8
(g9
g10
NtRp19941
(dp19942
g13
Nsg14
Nsg15
VFALSE
p19943
sbNg8
(g9
g10
NtRp19944
(dp19945
g13
Nsg14
Nsg15
VFALSE
p19946
sbNNNNNNNg8
(g9
g10
NtRp19947
(dp19948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp19949
(dp19950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp19951
(dp19952
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de035l_karlsruhe_2005
p19953
sbNg8
(g9
g10
NtRp19954
(dp19955
g13
Nsg14
Nsg15
Vobsolete
p19956
sbtp19957
a(g8
(g9
g10
NtRp19958
(dp19959
g13
Nsg14
Nsg15
V53712ec6-2812-4ce5-9d0a-88d13b58f902
p19960
sbNg8
(g9
g10
NtRp19961
(dp19962
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Erfurt
p19963
sbNNNNNg8
(g9
g10
NtRp19964
(dp19965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p19966
sbg8
(g23
g10
NtRp19967
(dp19968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p19969
sbNg8
(g9
g10
NtRp19970
(dp19971
g13
Nsg14
Nsg15
VFALSE
p19972
sbNNNg8
(g9
g10
NtRp19973
(dp19974
g13
Nsg14
Nsg15
VFALSE
p19975
sbNNg8
(g9
g10
NtRp19976
(dp19977
g13
Nsg14
Nsg15
VFALSE
p19978
sbNNg8
(g9
g10
NtRp19979
(dp19980
g13
Nsg14
Nsg15
VFALSE
p19981
sbNg8
(g9
g10
NtRp19982
(dp19983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53712ec6-2812-4ce5-9d0a-88d13b58f902.png
p19984
sbNg8
(g9
g10
NtRp19985
(dp19986
g13
Nsg14
Nsg15
V2019-06-04
p19987
sbNNg8
(g9
g10
NtRp19988
(dp19989
g13
Nsg14
Nsg15
Vland use|urban area
p19990
sbg8
(g9
g10
NtRp19991
(dp19992
g13
Nsg14
Nsg15
Vvector
p19993
sbg8
(g9
g10
NtRp19994
(dp19995
g13
Nsg14
Nsg15
VSHP
p19996
sbNg8
(g9
g10
NtRp19997
(dp19998
g13
Nsg14
Nsg15
V1:10000
p19999
sbNg8
(g9
g10
NtRp20000
(dp20001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50552461008201031011J8 (XS) (Date: 2010/08/20) \u000a                      * Spot 5 10 m - 50552461010101050172J9 (XS) (Date: 2010/10/10) \u000a                      * Spot 5 10 m - 50562460906141032492J2 (XS) (Date: 2009/06/14) \u000a                      * Spot 5 2,50 m - 50552461008201030581B8 (P) (Date: 2010/08/20) \u000a                      * Spot 5 2,50 m - 50552461010101050152B9 (P) (Date: 2010/10/10) \u000a                      * Spot 5 2,50 m - 50562460906141032462B2 (P) (Date: 2009/06/14)
p20002
sbg8
(g9
g10
NtRp20003
(dp20004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53712ec6-2812-4ce5-9d0a-88d13b58f902
p20005
sbg8
(g9
g10
NtRp20006
(dp20007
g13
Nsg14
g74
sg15
V2009
p20008
sbg8
(g9
g10
NtRp20009
(dp20010
g13
Nsg14
g74
sg15
V2010
p20011
sbg8
(g9
g10
NtRp20012
(dp20013
g13
Nsg14
Nsg15
VTRUE
p20014
sbg8
(g9
g10
NtRp20015
(dp20016
g13
Nsg14
Nsg15
VErfurt|Germany|Land use
p20017
sbg8
(g9
g10
NtRp20018
(dp20019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20020
sbg8
(g9
g10
NtRp20021
(dp20022
g13
Nsg14
Nsg15
VFALSE
p20023
sbNg8
(g9
g10
NtRp20024
(dp20025
g13
Nsg14
Nsg15
VFALSE
p20026
sbNNNNNNNg8
(g9
g10
NtRp20027
(dp20028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20029
(dp20030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20031
(dp20032
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de032l_erfurt_2009-2010
p20033
sbNg8
(g9
g10
NtRp20034
(dp20035
g13
Nsg14
Nsg15
Vobsolete
p20036
sbtp20037
a(g8
(g9
g10
NtRp20038
(dp20039
g13
Nsg14
Nsg15
V32db18e1-f82e-4037-a157-76cef6f3a8a5
p20040
sbNg8
(g9
g10
NtRp20041
(dp20042
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Exeter
p20043
sbNNNNNg8
(g9
g10
NtRp20044
(dp20045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20046
sbg8
(g23
g10
NtRp20047
(dp20048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20049
sbNg8
(g9
g10
NtRp20050
(dp20051
g13
Nsg14
Nsg15
VFALSE
p20052
sbNNNg8
(g9
g10
NtRp20053
(dp20054
g13
Nsg14
Nsg15
VFALSE
p20055
sbNNg8
(g9
g10
NtRp20056
(dp20057
g13
Nsg14
Nsg15
VFALSE
p20058
sbNNg8
(g9
g10
NtRp20059
(dp20060
g13
Nsg14
Nsg15
VFALSE
p20061
sbNg8
(g9
g10
NtRp20062
(dp20063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/32db18e1-f82e-4037-a157-76cef6f3a8a5.png
p20064
sbNg8
(g9
g10
NtRp20065
(dp20066
g13
Nsg14
Nsg15
V2019-06-04
p20067
sbNNg8
(g9
g10
NtRp20068
(dp20069
g13
Nsg14
Nsg15
Vland use|urban area
p20070
sbg8
(g9
g10
NtRp20071
(dp20072
g13
Nsg14
Nsg15
Vvector
p20073
sbg8
(g9
g10
NtRp20074
(dp20075
g13
Nsg14
Nsg15
VSHP
p20076
sbNg8
(g9
g10
NtRp20077
(dp20078
g13
Nsg14
Nsg15
V1:10000
p20079
sbNg8
(g9
g10
NtRp20080
(dp20081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50262471003081143492B0 (PS) (Date: 2010/03/08) \u000a                      * Spot 5 2,50 m - 50262471003081143492B4 (PS) (Date: 2010/03/08) \u000a                      * ALOS 10 m - AL_AV2_X_20080903_111942_DLR_13907_PRUTM (XS) (Date: 2008/09/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112305_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * RapidEye 5 m - 2010-06-03T121641_RE3_3A-NAC_6218829_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121643_RE3_3A-NAC_6218824_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121644_RE3_3A-NAC_6218834_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121645_RE3_3A-NAC_6218773_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121646_RE3_3A-NAC_6218825_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121648_RE3_3A-NAC_6218833_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121648_RE3_3A-NAC_6218827_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121649_RE3_3A-NAC_6218832_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-03T121652_RE3_3A-NAC_6218831_110466 (XS) (Date: 2010/06/03) \u000a                      * RapidEye 5 m - 2010-06-23T121556_RE4_3A-NAC_6219129_110466 (XS) (Date: 2010/06/23) \u000a                      * RapidEye 5 m - 2010-06-23T121557_RE4_3A-NAC_6219126_110466 (XS) (Date: 2010/06/23) \u000a                      * RapidEye 5 m - 2010-06-23T121600_RE4_3A-NAC_6219130_110466 (XS) (Date: 2010/06/23) \u000a                      * RapidEye 5 m - 2010-06-23T121607_RE4_3A-NAC_6219127_110466 (XS) (Date: 2010/06/23)
p20082
sbg8
(g9
g10
NtRp20083
(dp20084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32db18e1-f82e-4037-a157-76cef6f3a8a5
p20085
sbg8
(g9
g10
NtRp20086
(dp20087
g13
Nsg14
g74
sg15
V2008
p20088
sbg8
(g9
g10
NtRp20089
(dp20090
g13
Nsg14
g74
sg15
V2010
p20091
sbg8
(g9
g10
NtRp20092
(dp20093
g13
Nsg14
Nsg15
VTRUE
p20094
sbg8
(g9
g10
NtRp20095
(dp20096
g13
Nsg14
Nsg15
VExeter|Land use|United Kingdom
p20097
sbg8
(g9
g10
NtRp20098
(dp20099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20100
sbg8
(g9
g10
NtRp20101
(dp20102
g13
Nsg14
Nsg15
VFALSE
p20103
sbNg8
(g9
g10
NtRp20104
(dp20105
g13
Nsg14
Nsg15
VFALSE
p20106
sbNNNNNNNg8
(g9
g10
NtRp20107
(dp20108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20109
(dp20110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20111
(dp20112
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk018l_exeter_2008-2010
p20113
sbNg8
(g9
g10
NtRp20114
(dp20115
g13
Nsg14
Nsg15
Vobsolete
p20116
sbtp20117
a(g8
(g9
g10
NtRp20118
(dp20119
g13
Nsg14
Nsg15
V919d4637-710f-41bc-b408-a4ed7dde2543
p20120
sbNg8
(g9
g10
NtRp20121
(dp20122
g13
Nsg14
Nsg15
VUrban Atlas - France - Nancy
p20123
sbNNNNNg8
(g9
g10
NtRp20124
(dp20125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20126
sbg8
(g23
g10
NtRp20127
(dp20128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20129
sbNg8
(g9
g10
NtRp20130
(dp20131
g13
Nsg14
Nsg15
VFALSE
p20132
sbNNNg8
(g9
g10
NtRp20133
(dp20134
g13
Nsg14
Nsg15
VFALSE
p20135
sbNNg8
(g9
g10
NtRp20136
(dp20137
g13
Nsg14
Nsg15
VFALSE
p20138
sbNNg8
(g9
g10
NtRp20139
(dp20140
g13
Nsg14
Nsg15
VFALSE
p20141
sbNg8
(g9
g10
NtRp20142
(dp20143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/919d4637-710f-41bc-b408-a4ed7dde2543.png
p20144
sbNg8
(g9
g10
NtRp20145
(dp20146
g13
Nsg14
Nsg15
V2019-06-04
p20147
sbNNg8
(g9
g10
NtRp20148
(dp20149
g13
Nsg14
Nsg15
Vland use|urban area
p20150
sbg8
(g9
g10
NtRp20151
(dp20152
g13
Nsg14
Nsg15
Vvector
p20153
sbg8
(g9
g10
NtRp20154
(dp20155
g13
Nsg14
Nsg15
VSHP
p20156
sbNg8
(g9
g10
NtRp20157
(dp20158
g13
Nsg14
Nsg15
V1:10000
p20159
sbNg8
(g9
g10
NtRp20160
(dp20161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157013 (PS) (Date: 2005/09/04) \u000a                      * Spot 5 2,50 m - 00187157026 (PS) (Date: 2005/10/17) \u000a                      * Spot 5 2,50 m - 00187157037 (PS) (Date: 2006/10/10)
p20162
sbg8
(g9
g10
NtRp20163
(dp20164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/919d4637-710f-41bc-b408-a4ed7dde2543
p20165
sbg8
(g9
g10
NtRp20166
(dp20167
g13
Nsg14
g74
sg15
V2005
p20168
sbg8
(g9
g10
NtRp20169
(dp20170
g13
Nsg14
g74
sg15
V2006
p20171
sbg8
(g9
g10
NtRp20172
(dp20173
g13
Nsg14
Nsg15
VTRUE
p20174
sbg8
(g9
g10
NtRp20175
(dp20176
g13
Nsg14
Nsg15
VFrance|Land use|Nancy
p20177
sbg8
(g9
g10
NtRp20178
(dp20179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20180
sbg8
(g9
g10
NtRp20181
(dp20182
g13
Nsg14
Nsg15
VFALSE
p20183
sbNg8
(g9
g10
NtRp20184
(dp20185
g13
Nsg14
Nsg15
VFALSE
p20186
sbNNNNNNNg8
(g9
g10
NtRp20187
(dp20188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20189
(dp20190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20191
(dp20192
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-fr016l_nancy_2005-2006
p20193
sbNg8
(g9
g10
NtRp20194
(dp20195
g13
Nsg14
Nsg15
Vobsolete
p20196
sbtp20197
a(g8
(g9
g10
NtRp20198
(dp20199
g13
Nsg14
Nsg15
V48538038-b114-4b41-933f-f648b4e15537
p20200
sbNg8
(g9
g10
NtRp20201
(dp20202
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Rotterdam
p20203
sbNNNNNg8
(g9
g10
NtRp20204
(dp20205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20206
sbg8
(g23
g10
NtRp20207
(dp20208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20209
sbNg8
(g9
g10
NtRp20210
(dp20211
g13
Nsg14
Nsg15
VFALSE
p20212
sbNNNg8
(g9
g10
NtRp20213
(dp20214
g13
Nsg14
Nsg15
VFALSE
p20215
sbNNg8
(g9
g10
NtRp20216
(dp20217
g13
Nsg14
Nsg15
VFALSE
p20218
sbNNg8
(g9
g10
NtRp20219
(dp20220
g13
Nsg14
Nsg15
VFALSE
p20221
sbNg8
(g9
g10
NtRp20222
(dp20223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48538038-b114-4b41-933f-f648b4e15537.png
p20224
sbNg8
(g9
g10
NtRp20225
(dp20226
g13
Nsg14
Nsg15
V2019-06-04
p20227
sbNNg8
(g9
g10
NtRp20228
(dp20229
g13
Nsg14
Nsg15
Vland use|urban area
p20230
sbg8
(g9
g10
NtRp20231
(dp20232
g13
Nsg14
Nsg15
Vvector
p20233
sbg8
(g9
g10
NtRp20234
(dp20235
g13
Nsg14
Nsg15
VSHP
p20236
sbNg8
(g9
g10
NtRp20237
(dp20238
g13
Nsg14
Nsg15
V1:10000
p20239
sbNg8
(g9
g10
NtRp20240
(dp20241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800021 (PS) (Date: 2006/09/13) \u000a                      * Spot 5 2,50 m - 00182800023 (PS) (Date: 2006/10/15)
p20242
sbg8
(g9
g10
NtRp20243
(dp20244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48538038-b114-4b41-933f-f648b4e15537
p20245
sbg8
(g9
g10
NtRp20246
(dp20247
g13
Nsg14
g74
sg15
V2006
p20248
sbg8
(g9
g10
NtRp20249
(dp20250
g13
Nsg14
g74
sg15
V2006
p20251
sbg8
(g9
g10
NtRp20252
(dp20253
g13
Nsg14
Nsg15
VFALSE
p20254
sbg8
(g9
g10
NtRp20255
(dp20256
g13
Nsg14
Nsg15
VLand use|Netherlands|Rotterdam
p20257
sbg8
(g9
g10
NtRp20258
(dp20259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20260
sbg8
(g9
g10
NtRp20261
(dp20262
g13
Nsg14
Nsg15
VFALSE
p20263
sbNg8
(g9
g10
NtRp20264
(dp20265
g13
Nsg14
Nsg15
VFALSE
p20266
sbNNNNNNNg8
(g9
g10
NtRp20267
(dp20268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20269
(dp20270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20271
(dp20272
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl003l_rotterdam_2006
p20273
sbNg8
(g9
g10
NtRp20274
(dp20275
g13
Nsg14
Nsg15
Vobsolete
p20276
sbtp20277
a(g8
(g9
g10
NtRp20278
(dp20279
g13
Nsg14
Nsg15
V97622c43-a8cc-460c-bda5-858c077d3170
p20280
sbNg8
(g9
g10
NtRp20281
(dp20282
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Pilsen (Plze\u0148)
p20283
sbNNNNNg8
(g9
g10
NtRp20284
(dp20285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20286
sbg8
(g23
g10
NtRp20287
(dp20288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20289
sbNg8
(g9
g10
NtRp20290
(dp20291
g13
Nsg14
Nsg15
VFALSE
p20292
sbNNNg8
(g9
g10
NtRp20293
(dp20294
g13
Nsg14
Nsg15
VFALSE
p20295
sbNNg8
(g9
g10
NtRp20296
(dp20297
g13
Nsg14
Nsg15
VFALSE
p20298
sbNNg8
(g9
g10
NtRp20299
(dp20300
g13
Nsg14
Nsg15
VFALSE
p20301
sbNg8
(g9
g10
NtRp20302
(dp20303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/97622c43-a8cc-460c-bda5-858c077d3170.png
p20304
sbNg8
(g9
g10
NtRp20305
(dp20306
g13
Nsg14
Nsg15
V2019-06-04
p20307
sbNNg8
(g9
g10
NtRp20308
(dp20309
g13
Nsg14
Nsg15
Vland use|urban area
p20310
sbg8
(g9
g10
NtRp20311
(dp20312
g13
Nsg14
Nsg15
Vvector
p20313
sbg8
(g9
g10
NtRp20314
(dp20315
g13
Nsg14
Nsg15
VSHP
p20316
sbNg8
(g9
g10
NtRp20317
(dp20318
g13
Nsg14
Nsg15
V1:10000
p20319
sbNg8
(g9
g10
NtRp20320
(dp20321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50602490609051018462B0 (P) (Date: 2006/09/05) \u000a                      * Spot 5 2,50 m - 50622490709141022352B0 (P) (Date: 2007/09/14) \u000a                      * Spot 5 2,50 m - 50622500709141022442B0 (P) (Date: 2007/09/14) \u000a                      * ALOS 10 m - AL_AV2_X_20090614_101502_DLR_18049_PRUTM (XS) (Date: 2009/06/14) \u000a                      * ALOS 10 m - AL_AV2_X_20090614_101510_DLR_18049_PRUTM (XS) (Date: 2009/06/14) \u000a                      * ALOS 10 m - AL_AV2_X_20090816_101733_DLR_18968_PRUTM (XS) (Date: 2009/08/16) \u000a                      * ALOS 10 m - AL_AV2_X_20090816_101741_DLR_18968_PRUTM (XS) (Date: 2009/08/16)
p20322
sbg8
(g9
g10
NtRp20323
(dp20324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97622c43-a8cc-460c-bda5-858c077d3170
p20325
sbg8
(g9
g10
NtRp20326
(dp20327
g13
Nsg14
g74
sg15
V2006
p20328
sbg8
(g9
g10
NtRp20329
(dp20330
g13
Nsg14
g74
sg15
V2009
p20331
sbg8
(g9
g10
NtRp20332
(dp20333
g13
Nsg14
Nsg15
VTRUE
p20334
sbg8
(g9
g10
NtRp20335
(dp20336
g13
Nsg14
Nsg15
VCzechia|Land use|Pilsen
p20337
sbg8
(g9
g10
NtRp20338
(dp20339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20340
sbg8
(g9
g10
NtRp20341
(dp20342
g13
Nsg14
Nsg15
VFALSE
p20343
sbNg8
(g9
g10
NtRp20344
(dp20345
g13
Nsg14
Nsg15
VFALSE
p20346
sbNNNNNNNg8
(g9
g10
NtRp20347
(dp20348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20349
(dp20350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20351
(dp20352
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz004l_plzen_2006-2009
p20353
sbNg8
(g9
g10
NtRp20354
(dp20355
g13
Nsg14
Nsg15
Vobsolete
p20356
sbtp20357
a(g8
(g9
g10
NtRp20358
(dp20359
g13
Nsg14
Nsg15
V86ead0b9-7b11-4533-9f47-8351c5d49341
p20360
sbNg8
(g9
g10
NtRp20361
(dp20362
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Magdeburg
p20363
sbNNNNNg8
(g9
g10
NtRp20364
(dp20365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20366
sbg8
(g23
g10
NtRp20367
(dp20368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20369
sbNg8
(g9
g10
NtRp20370
(dp20371
g13
Nsg14
Nsg15
VFALSE
p20372
sbNNNg8
(g9
g10
NtRp20373
(dp20374
g13
Nsg14
Nsg15
VFALSE
p20375
sbNNg8
(g9
g10
NtRp20376
(dp20377
g13
Nsg14
Nsg15
VFALSE
p20378
sbNNg8
(g9
g10
NtRp20379
(dp20380
g13
Nsg14
Nsg15
VFALSE
p20381
sbNg8
(g9
g10
NtRp20382
(dp20383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/86ead0b9-7b11-4533-9f47-8351c5d49341.png
p20384
sbNg8
(g9
g10
NtRp20385
(dp20386
g13
Nsg14
Nsg15
V2019-06-04
p20387
sbNNg8
(g9
g10
NtRp20388
(dp20389
g13
Nsg14
Nsg15
Vland use|urban area
p20390
sbg8
(g9
g10
NtRp20391
(dp20392
g13
Nsg14
Nsg15
Vvector
p20393
sbg8
(g9
g10
NtRp20394
(dp20395
g13
Nsg14
Nsg15
VSHP
p20396
sbNg8
(g9
g10
NtRp20397
(dp20398
g13
Nsg14
Nsg15
V1:10000
p20399
sbNg8
(g9
g10
NtRp20400
(dp20401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50542440509201049222B0 (PS) (Date: 2005/09/20) \u000a                      * Spot 5 2,50 m - 50572430509011014491B7 (PS) (Date: 2005/09/01) \u000a                      * Spot 5 2,50 m - 50572440507111015401B0 (PS) (Date: 2005/07/11) \u000a                      * Spot 5 2,50 m - 50572440509011014571B7 (PS) (Date: 2005/09/01)
p20402
sbg8
(g9
g10
NtRp20403
(dp20404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/86ead0b9-7b11-4533-9f47-8351c5d49341
p20405
sbg8
(g9
g10
NtRp20406
(dp20407
g13
Nsg14
g74
sg15
V2005
p20408
sbg8
(g9
g10
NtRp20409
(dp20410
g13
Nsg14
g74
sg15
V2005
p20411
sbg8
(g9
g10
NtRp20412
(dp20413
g13
Nsg14
Nsg15
VFALSE
p20414
sbg8
(g9
g10
NtRp20415
(dp20416
g13
Nsg14
Nsg15
VGermany|Land use|Magdeburg
p20417
sbg8
(g9
g10
NtRp20418
(dp20419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20420
sbg8
(g9
g10
NtRp20421
(dp20422
g13
Nsg14
Nsg15
VFALSE
p20423
sbNg8
(g9
g10
NtRp20424
(dp20425
g13
Nsg14
Nsg15
VFALSE
p20426
sbNNNNNNNg8
(g9
g10
NtRp20427
(dp20428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20429
(dp20430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20431
(dp20432
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de019l_magdeburg_2005
p20433
sbNg8
(g9
g10
NtRp20434
(dp20435
g13
Nsg14
Nsg15
Vobsolete
p20436
sbtp20437
a(g8
(g9
g10
NtRp20438
(dp20439
g13
Nsg14
Nsg15
V20995741-15ff-4ec2-96b6-a6134d87c5fb
p20440
sbNg8
(g9
g10
NtRp20441
(dp20442
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Koszalin
p20443
sbNNNNNg8
(g9
g10
NtRp20444
(dp20445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20446
sbg8
(g23
g10
NtRp20447
(dp20448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20449
sbNg8
(g9
g10
NtRp20450
(dp20451
g13
Nsg14
Nsg15
VFALSE
p20452
sbNNNg8
(g9
g10
NtRp20453
(dp20454
g13
Nsg14
Nsg15
VFALSE
p20455
sbNNg8
(g9
g10
NtRp20456
(dp20457
g13
Nsg14
Nsg15
VFALSE
p20458
sbNNg8
(g9
g10
NtRp20459
(dp20460
g13
Nsg14
Nsg15
VFALSE
p20461
sbNg8
(g9
g10
NtRp20462
(dp20463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20995741-15ff-4ec2-96b6-a6134d87c5fb.png
p20464
sbNg8
(g9
g10
NtRp20465
(dp20466
g13
Nsg14
Nsg15
V2019-06-04
p20467
sbNNg8
(g9
g10
NtRp20468
(dp20469
g13
Nsg14
Nsg15
Vland use|urban area
p20470
sbg8
(g9
g10
NtRp20471
(dp20472
g13
Nsg14
Nsg15
Vvector
p20473
sbg8
(g9
g10
NtRp20474
(dp20475
g13
Nsg14
Nsg15
VSHP
p20476
sbNg8
(g9
g10
NtRp20477
(dp20478
g13
Nsg14
Nsg15
V1:10000
p20479
sbNg8
(g9
g10
NtRp20480
(dp20481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50622390511011040002B8 (PS) (Date: 2005/11/01) \u000a                      * Spot 5 2,50 m - 50652400607251025062B0 (PS) (Date: 2006/07/25)
p20482
sbg8
(g9
g10
NtRp20483
(dp20484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20995741-15ff-4ec2-96b6-a6134d87c5fb
p20485
sbg8
(g9
g10
NtRp20486
(dp20487
g13
Nsg14
g74
sg15
V2005
p20488
sbg8
(g9
g10
NtRp20489
(dp20490
g13
Nsg14
g74
sg15
V2006
p20491
sbg8
(g9
g10
NtRp20492
(dp20493
g13
Nsg14
Nsg15
VTRUE
p20494
sbg8
(g9
g10
NtRp20495
(dp20496
g13
Nsg14
Nsg15
VKoszalin|Land use|Poland
p20497
sbg8
(g9
g10
NtRp20498
(dp20499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20500
sbg8
(g9
g10
NtRp20501
(dp20502
g13
Nsg14
Nsg15
VFALSE
p20503
sbNg8
(g9
g10
NtRp20504
(dp20505
g13
Nsg14
Nsg15
VFALSE
p20506
sbNNNNNNNg8
(g9
g10
NtRp20507
(dp20508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20509
(dp20510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20511
(dp20512
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl028l_koszalin_2005-2006
p20513
sbNg8
(g9
g10
NtRp20514
(dp20515
g13
Nsg14
Nsg15
Vobsolete
p20516
sbtp20517
a(g8
(g9
g10
NtRp20518
(dp20519
g13
Nsg14
Nsg15
V8e974c47-93d8-4099-9bb5-25bb13f1fe1d
p20520
sbNg8
(g9
g10
NtRp20521
(dp20522
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Pécs
p20523
sbNNNNNg8
(g9
g10
NtRp20524
(dp20525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20526
sbg8
(g23
g10
NtRp20527
(dp20528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20529
sbNg8
(g9
g10
NtRp20530
(dp20531
g13
Nsg14
Nsg15
VFALSE
p20532
sbNNNg8
(g9
g10
NtRp20533
(dp20534
g13
Nsg14
Nsg15
VFALSE
p20535
sbNNg8
(g9
g10
NtRp20536
(dp20537
g13
Nsg14
Nsg15
VFALSE
p20538
sbNNg8
(g9
g10
NtRp20539
(dp20540
g13
Nsg14
Nsg15
VFALSE
p20541
sbNg8
(g9
g10
NtRp20542
(dp20543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e974c47-93d8-4099-9bb5-25bb13f1fe1d.png
p20544
sbNg8
(g9
g10
NtRp20545
(dp20546
g13
Nsg14
Nsg15
V2019-06-04
p20547
sbNNg8
(g9
g10
NtRp20548
(dp20549
g13
Nsg14
Nsg15
Vland use|urban area
p20550
sbg8
(g9
g10
NtRp20551
(dp20552
g13
Nsg14
Nsg15
Vvector
p20553
sbg8
(g9
g10
NtRp20554
(dp20555
g13
Nsg14
Nsg15
VSHP
p20556
sbNg8
(g9
g10
NtRp20557
(dp20558
g13
Nsg14
Nsg15
V1:10000
p20559
sbNg8
(g9
g10
NtRp20560
(dp20561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00185800029 (PS) (Date: 2007/05/13) \u000a                      * SPOT 5 2,50 m - 00185800031 (PS) (Date: 2007/04/29)
p20562
sbg8
(g9
g10
NtRp20563
(dp20564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e974c47-93d8-4099-9bb5-25bb13f1fe1d
p20565
sbg8
(g9
g10
NtRp20566
(dp20567
g13
Nsg14
g74
sg15
V2007
p20568
sbg8
(g9
g10
NtRp20569
(dp20570
g13
Nsg14
g74
sg15
V2007
p20571
sbg8
(g9
g10
NtRp20572
(dp20573
g13
Nsg14
Nsg15
VFALSE
p20574
sbg8
(g9
g10
NtRp20575
(dp20576
g13
Nsg14
Nsg15
VHungary|Land use|Pécs
p20577
sbg8
(g9
g10
NtRp20578
(dp20579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20580
sbg8
(g9
g10
NtRp20581
(dp20582
g13
Nsg14
Nsg15
VFALSE
p20583
sbNg8
(g9
g10
NtRp20584
(dp20585
g13
Nsg14
Nsg15
VFALSE
p20586
sbNNNNNNNg8
(g9
g10
NtRp20587
(dp20588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20589
(dp20590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20591
(dp20592
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu004l_pecs_2007
p20593
sbNg8
(g9
g10
NtRp20594
(dp20595
g13
Nsg14
Nsg15
Vobsolete
p20596
sbtp20597
a(g8
(g9
g10
NtRp20598
(dp20599
g13
Nsg14
Nsg15
V5894aa59-9b69-4fc4-bdb1-e7c9b2911703
p20600
sbNg8
(g9
g10
NtRp20601
(dp20602
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Larissa (\u039b\u03ac\u03c1\u03b9\u03c3\u03b1)
p20603
sbNNNNNg8
(g9
g10
NtRp20604
(dp20605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20606
sbg8
(g23
g10
NtRp20607
(dp20608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20609
sbNg8
(g9
g10
NtRp20610
(dp20611
g13
Nsg14
Nsg15
VFALSE
p20612
sbNNNg8
(g9
g10
NtRp20613
(dp20614
g13
Nsg14
Nsg15
VFALSE
p20615
sbNNg8
(g9
g10
NtRp20616
(dp20617
g13
Nsg14
Nsg15
VFALSE
p20618
sbNNg8
(g9
g10
NtRp20619
(dp20620
g13
Nsg14
Nsg15
VFALSE
p20621
sbNg8
(g9
g10
NtRp20622
(dp20623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5894aa59-9b69-4fc4-bdb1-e7c9b2911703.png
p20624
sbNg8
(g9
g10
NtRp20625
(dp20626
g13
Nsg14
Nsg15
V2019-06-04
p20627
sbNNg8
(g9
g10
NtRp20628
(dp20629
g13
Nsg14
Nsg15
Vland use|urban area
p20630
sbg8
(g9
g10
NtRp20631
(dp20632
g13
Nsg14
Nsg15
Vvector
p20633
sbg8
(g9
g10
NtRp20634
(dp20635
g13
Nsg14
Nsg15
VSHP
p20636
sbNg8
(g9
g10
NtRp20637
(dp20638
g13
Nsg14
Nsg15
V1:10000
p20639
sbNg8
(g9
g10
NtRp20640
(dp20641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot5 2,50 m - 00183538035 (PS) (Date: 2006/09/02) \u000a                      * Spot5 2,50 m - 00183756036 (PS) (Date: 2006/09/02) \u000a                      * Spot5 2,50 m - 00183756072 (PS) (Date: 2008/10/16) \u000a                      * Spot5 2,50 m - 00183756073 (PS) (Date: 2008/10/16)
p20642
sbg8
(g9
g10
NtRp20643
(dp20644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5894aa59-9b69-4fc4-bdb1-e7c9b2911703
p20645
sbg8
(g9
g10
NtRp20646
(dp20647
g13
Nsg14
g74
sg15
V2006
p20648
sbg8
(g9
g10
NtRp20649
(dp20650
g13
Nsg14
g74
sg15
V2008
p20651
sbg8
(g9
g10
NtRp20652
(dp20653
g13
Nsg14
Nsg15
VTRUE
p20654
sbg8
(g9
g10
NtRp20655
(dp20656
g13
Nsg14
Nsg15
VGreece|Land use|Larissa
p20657
sbg8
(g9
g10
NtRp20658
(dp20659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20660
sbg8
(g9
g10
NtRp20661
(dp20662
g13
Nsg14
Nsg15
VFALSE
p20663
sbNg8
(g9
g10
NtRp20664
(dp20665
g13
Nsg14
Nsg15
VFALSE
p20666
sbNNNNNNNg8
(g9
g10
NtRp20667
(dp20668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20669
(dp20670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20671
(dp20672
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr005l_larisa_2006-2008
p20673
sbNg8
(g9
g10
NtRp20674
(dp20675
g13
Nsg14
Nsg15
Vobsolete
p20676
sbtp20677
a(g8
(g9
g10
NtRp20678
(dp20679
g13
Nsg14
Nsg15
V4d416f8c-1bec-4742-8a00-a3b9373a9f06
p20680
sbNg8
(g9
g10
NtRp20681
(dp20682
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Jihlava
p20683
sbNNNNNg8
(g9
g10
NtRp20684
(dp20685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20686
sbg8
(g23
g10
NtRp20687
(dp20688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20689
sbNg8
(g9
g10
NtRp20690
(dp20691
g13
Nsg14
Nsg15
VFALSE
p20692
sbNNNg8
(g9
g10
NtRp20693
(dp20694
g13
Nsg14
Nsg15
VFALSE
p20695
sbNNg8
(g9
g10
NtRp20696
(dp20697
g13
Nsg14
Nsg15
VFALSE
p20698
sbNNg8
(g9
g10
NtRp20699
(dp20700
g13
Nsg14
Nsg15
VFALSE
p20701
sbNg8
(g9
g10
NtRp20702
(dp20703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4d416f8c-1bec-4742-8a00-a3b9373a9f06.png
p20704
sbNg8
(g9
g10
NtRp20705
(dp20706
g13
Nsg14
Nsg15
V2019-06-04
p20707
sbNNg8
(g9
g10
NtRp20708
(dp20709
g13
Nsg14
Nsg15
Vland use|urban area
p20710
sbg8
(g9
g10
NtRp20711
(dp20712
g13
Nsg14
Nsg15
Vvector
p20713
sbg8
(g9
g10
NtRp20714
(dp20715
g13
Nsg14
Nsg15
VSHP
p20716
sbNg8
(g9
g10
NtRp20717
(dp20718
g13
Nsg14
Nsg15
V1:10000
p20719
sbNg8
(g9
g10
NtRp20720
(dp20721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50662500609111003221B2 (PS) (Date: 2006/09/11)
p20722
sbg8
(g9
g10
NtRp20723
(dp20724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4d416f8c-1bec-4742-8a00-a3b9373a9f06
p20725
sbg8
(g9
g10
NtRp20726
(dp20727
g13
Nsg14
g74
sg15
V2006
p20728
sbg8
(g9
g10
NtRp20729
(dp20730
g13
Nsg14
g74
sg15
V2006
p20731
sbg8
(g9
g10
NtRp20732
(dp20733
g13
Nsg14
Nsg15
VFALSE
p20734
sbg8
(g9
g10
NtRp20735
(dp20736
g13
Nsg14
Nsg15
VCzechia|Jihlava|Land use
p20737
sbg8
(g9
g10
NtRp20738
(dp20739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20740
sbg8
(g9
g10
NtRp20741
(dp20742
g13
Nsg14
Nsg15
VFALSE
p20743
sbNg8
(g9
g10
NtRp20744
(dp20745
g13
Nsg14
Nsg15
VFALSE
p20746
sbNNNNNNNg8
(g9
g10
NtRp20747
(dp20748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20749
(dp20750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20751
(dp20752
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz014l_jihlava_2006
p20753
sbNg8
(g9
g10
NtRp20754
(dp20755
g13
Nsg14
Nsg15
Vobsolete
p20756
sbtp20757
a(g8
(g9
g10
NtRp20758
(dp20759
g13
Nsg14
Nsg15
V3ca25f74-6581-4ca8-a456-21edbae50248
p20760
sbNg8
(g9
g10
NtRp20761
(dp20762
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Hamburg
p20763
sbNNNNNg8
(g9
g10
NtRp20764
(dp20765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20766
sbg8
(g23
g10
NtRp20767
(dp20768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20769
sbNg8
(g9
g10
NtRp20770
(dp20771
g13
Nsg14
Nsg15
VFALSE
p20772
sbNNNg8
(g9
g10
NtRp20773
(dp20774
g13
Nsg14
Nsg15
VFALSE
p20775
sbNNg8
(g9
g10
NtRp20776
(dp20777
g13
Nsg14
Nsg15
VFALSE
p20778
sbNNg8
(g9
g10
NtRp20779
(dp20780
g13
Nsg14
Nsg15
VFALSE
p20781
sbNg8
(g9
g10
NtRp20782
(dp20783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ca25f74-6581-4ca8-a456-21edbae50248.png
p20784
sbNg8
(g9
g10
NtRp20785
(dp20786
g13
Nsg14
Nsg15
V2019-06-04
p20787
sbNNg8
(g9
g10
NtRp20788
(dp20789
g13
Nsg14
Nsg15
Vland use|urban area
p20790
sbg8
(g9
g10
NtRp20791
(dp20792
g13
Nsg14
Nsg15
Vvector
p20793
sbg8
(g9
g10
NtRp20794
(dp20795
g13
Nsg14
Nsg15
VSHP
p20796
sbNg8
(g9
g10
NtRp20797
(dp20798
g13
Nsg14
Nsg15
V1:10000
p20799
sbNg8
(g9
g10
NtRp20800
(dp20801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50492401006171100402B8 (PS) (Date: 2010/06/17) \u000a                      * Spot 5 2,50 m - 50502400908201045112B0 (PS) (Date: 2009/08/20) \u000a                      * Spot 5 2,50 m - 50502410908201045192B0 (PS) (Date: 2009/08/20) \u000a                      * Spot 5 2,50 m - 50502420908201045272B0 (PS) (Date: 2009/08/20) \u000a                      * Spot 5 2,50 m - 50532410909011014392B0 (PS) (Date: 2009/09/01) \u000a                      * Spot 5 2,50 m - 50532420909011014472B0 (PS) (Date: 2009/09/01) \u000a                      * RapidEye 5 m - 2009-04-10T110514_RE2_3A-NAC_6212971_110437 (XS) (Date: 2009/04/10) \u000a                      * RapidEye 5 m - 2009-04-18T111046_RE5_3A-NAC_6212756_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111047_RE5_3A-NAC_6212766_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111049_RE5_3A-NAC_6212773_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111050_RE5_3A-NAC_6212700_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111050_RE5_3A-NAC_6212763_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111052_RE5_3A-NAC_6212771_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-18T111053_RE5_3A-NAC_6212699_110437 (XS) (Date: 2009/04/18) \u000a                      * RapidEye 5 m - 2009-04-19T111354_RE1_3A-NAC_6213203_110437 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T111358_RE1_3A-NAC_6213202_110437 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-05-13T111747_RE1_3A-NAC_6212970_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111207_RE3_3A-NAC_6212767_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111211_RE3_3A-NAC_6212758_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111213_RE3_3A-NAC_6212760_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111214_RE3_3A-NAC_6212768_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111217_RE3_3A-NAC_6212757_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T111221_RE3_3A-NAC_6212974_110437 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-31T111327_RE5_3A-NAC_6212764_110437 (XS) (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T111330_RE5_3A-NAC_6212765_110437 (XS) (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T111330_RE5_3A-NAC_6212973_110437 (XS) (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-07-03T110649_RE5_3A-NAC_6212772_110437 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T110652_RE5_3A-NAC_6212769_110437 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T110653_RE5_3A-NAC_6212770_110437 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T110656_RE5_3A-NAC_6212755_110437 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-05T112955_RE1_3A-NAC_6212762_110437 (XS) (Date: 2009/07/05) \u000a                      * RapidEye 5 m - 2009-07-27T111044_RE5_3A-NAC_6212972_110437 (XS) (Date: 2009/07/27)
p20802
sbg8
(g9
g10
NtRp20803
(dp20804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ca25f74-6581-4ca8-a456-21edbae50248
p20805
sbg8
(g9
g10
NtRp20806
(dp20807
g13
Nsg14
g74
sg15
V2009
p20808
sbg8
(g9
g10
NtRp20809
(dp20810
g13
Nsg14
g74
sg15
V2010
p20811
sbg8
(g9
g10
NtRp20812
(dp20813
g13
Nsg14
Nsg15
VTRUE
p20814
sbg8
(g9
g10
NtRp20815
(dp20816
g13
Nsg14
Nsg15
VGermany|Hamburg|Land use
p20817
sbg8
(g9
g10
NtRp20818
(dp20819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20820
sbg8
(g9
g10
NtRp20821
(dp20822
g13
Nsg14
Nsg15
VFALSE
p20823
sbNg8
(g9
g10
NtRp20824
(dp20825
g13
Nsg14
Nsg15
VFALSE
p20826
sbNNNNNNNg8
(g9
g10
NtRp20827
(dp20828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20829
(dp20830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20831
(dp20832
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de002l_hamburg_2009-2010
p20833
sbNg8
(g9
g10
NtRp20834
(dp20835
g13
Nsg14
Nsg15
Vobsolete
p20836
sbtp20837
a(g8
(g9
g10
NtRp20838
(dp20839
g13
Nsg14
Nsg15
V1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c
p20840
sbNg8
(g9
g10
NtRp20841
(dp20842
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Schwerin
p20843
sbNNNNNg8
(g9
g10
NtRp20844
(dp20845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20846
sbg8
(g23
g10
NtRp20847
(dp20848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20849
sbNg8
(g9
g10
NtRp20850
(dp20851
g13
Nsg14
Nsg15
VFALSE
p20852
sbNNNg8
(g9
g10
NtRp20853
(dp20854
g13
Nsg14
Nsg15
VFALSE
p20855
sbNNg8
(g9
g10
NtRp20856
(dp20857
g13
Nsg14
Nsg15
VFALSE
p20858
sbNNg8
(g9
g10
NtRp20859
(dp20860
g13
Nsg14
Nsg15
VFALSE
p20861
sbNg8
(g9
g10
NtRp20862
(dp20863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c.png
p20864
sbNg8
(g9
g10
NtRp20865
(dp20866
g13
Nsg14
Nsg15
V2019-06-04
p20867
sbNNg8
(g9
g10
NtRp20868
(dp20869
g13
Nsg14
Nsg15
Vland use|urban area
p20870
sbg8
(g9
g10
NtRp20871
(dp20872
g13
Nsg14
Nsg15
Vvector
p20873
sbg8
(g9
g10
NtRp20874
(dp20875
g13
Nsg14
Nsg15
VSHP
p20876
sbNg8
(g9
g10
NtRp20877
(dp20878
g13
Nsg14
Nsg15
V1:10000
p20879
sbNg8
(g9
g10
NtRp20880
(dp20881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50532410506181058071B3 (PS) (Date: 2005/06/18) \u000a                      * Spot 5 2,50 m - 50542410509051037392B0 (PS) (Date: 2005/09/05) \u000a                      * Spot 5 2,50 m - 50542420509051037472B0 (PS) (Date: 2005/09/05) \u000a                      * Spot 5 2,50 m - 50572410609261013592B3 (PS) (Date: 2006/09/26)
p20882
sbg8
(g9
g10
NtRp20883
(dp20884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c
p20885
sbg8
(g9
g10
NtRp20886
(dp20887
g13
Nsg14
g74
sg15
V2005
p20888
sbg8
(g9
g10
NtRp20889
(dp20890
g13
Nsg14
g74
sg15
V2006
p20891
sbg8
(g9
g10
NtRp20892
(dp20893
g13
Nsg14
Nsg15
VTRUE
p20894
sbg8
(g9
g10
NtRp20895
(dp20896
g13
Nsg14
Nsg15
VGermany|Land use|Schwerin
p20897
sbg8
(g9
g10
NtRp20898
(dp20899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20900
sbg8
(g9
g10
NtRp20901
(dp20902
g13
Nsg14
Nsg15
VFALSE
p20903
sbNg8
(g9
g10
NtRp20904
(dp20905
g13
Nsg14
Nsg15
VFALSE
p20906
sbNNNNNNNg8
(g9
g10
NtRp20907
(dp20908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20909
(dp20910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20911
(dp20912
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de031l_schwerin_2005-2006
p20913
sbNg8
(g9
g10
NtRp20914
(dp20915
g13
Nsg14
Nsg15
Vobsolete
p20916
sbtp20917
a(g8
(g9
g10
NtRp20918
(dp20919
g13
Nsg14
Nsg15
V176ce2d0-a887-443c-8c80-80396347ee6e
p20920
sbNg8
(g9
g10
NtRp20921
(dp20922
g13
Nsg14
Nsg15
VUrban Atlas - Lithuania - Vilnius
p20923
sbNNNNNg8
(g9
g10
NtRp20924
(dp20925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p20926
sbg8
(g23
g10
NtRp20927
(dp20928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p20929
sbNg8
(g9
g10
NtRp20930
(dp20931
g13
Nsg14
Nsg15
VFALSE
p20932
sbNNNg8
(g9
g10
NtRp20933
(dp20934
g13
Nsg14
Nsg15
VFALSE
p20935
sbNNg8
(g9
g10
NtRp20936
(dp20937
g13
Nsg14
Nsg15
VFALSE
p20938
sbNNg8
(g9
g10
NtRp20939
(dp20940
g13
Nsg14
Nsg15
VFALSE
p20941
sbNg8
(g9
g10
NtRp20942
(dp20943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/176ce2d0-a887-443c-8c80-80396347ee6e.png
p20944
sbNg8
(g9
g10
NtRp20945
(dp20946
g13
Nsg14
Nsg15
V2019-06-04
p20947
sbNNg8
(g9
g10
NtRp20948
(dp20949
g13
Nsg14
Nsg15
Vland use|urban area
p20950
sbg8
(g9
g10
NtRp20951
(dp20952
g13
Nsg14
Nsg15
Vvector
p20953
sbg8
(g9
g10
NtRp20954
(dp20955
g13
Nsg14
Nsg15
VSHP
p20956
sbNg8
(g9
g10
NtRp20957
(dp20958
g13
Nsg14
Nsg15
V1:10000
p20959
sbNg8
(g9
g10
NtRp20960
(dp20961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00182784040 (XS) (Date: 2005/10/29) \u000a                      * SPOT 5 2,50 m - 00182784041 (XS) (Date: 2007/06/20) \u000a                      * SPOT 5 2,50 m - 00182784042 (XS) (Date: 2005/10/29) \u000a                      * SPOT 5 2,50 m - 00182793040 (P) (Date: 2005/10/29) \u000a                      * SPOT 5 2,50 m - 00182793041 (P) (Date: 2007/06/20) \u000a                      * SPOT 5 2,50 m - 00182793042 (P) (Date: 2005/10/29)
p20962
sbg8
(g9
g10
NtRp20963
(dp20964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/176ce2d0-a887-443c-8c80-80396347ee6e
p20965
sbg8
(g9
g10
NtRp20966
(dp20967
g13
Nsg14
g74
sg15
V2005
p20968
sbg8
(g9
g10
NtRp20969
(dp20970
g13
Nsg14
g74
sg15
V2007
p20971
sbg8
(g9
g10
NtRp20972
(dp20973
g13
Nsg14
Nsg15
VTRUE
p20974
sbg8
(g9
g10
NtRp20975
(dp20976
g13
Nsg14
Nsg15
VLand use|Lithuania|Vilnius
p20977
sbg8
(g9
g10
NtRp20978
(dp20979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p20980
sbg8
(g9
g10
NtRp20981
(dp20982
g13
Nsg14
Nsg15
VFALSE
p20983
sbNg8
(g9
g10
NtRp20984
(dp20985
g13
Nsg14
Nsg15
VFALSE
p20986
sbNNNNNNNg8
(g9
g10
NtRp20987
(dp20988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp20989
(dp20990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp20991
(dp20992
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-lt001l_vilnius_2005-2007
p20993
sbNg8
(g9
g10
NtRp20994
(dp20995
g13
Nsg14
Nsg15
Vobsolete
p20996
sbtp20997
a(g8
(g9
g10
NtRp20998
(dp20999
g13
Nsg14
Nsg15
V48e8510b-c089-4533-910f-7a416427f832
p21000
sbNg8
(g9
g10
NtRp21001
(dp21002
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Athens (\u0391\u03b8\u03ae\u03bd\u03b1)
p21003
sbNNNNNg8
(g9
g10
NtRp21004
(dp21005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21006
sbg8
(g23
g10
NtRp21007
(dp21008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21009
sbNg8
(g9
g10
NtRp21010
(dp21011
g13
Nsg14
Nsg15
VFALSE
p21012
sbNNNg8
(g9
g10
NtRp21013
(dp21014
g13
Nsg14
Nsg15
VFALSE
p21015
sbNNg8
(g9
g10
NtRp21016
(dp21017
g13
Nsg14
Nsg15
VFALSE
p21018
sbNNg8
(g9
g10
NtRp21019
(dp21020
g13
Nsg14
Nsg15
VFALSE
p21021
sbNg8
(g9
g10
NtRp21022
(dp21023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48e8510b-c089-4533-910f-7a416427f832.png
p21024
sbNg8
(g9
g10
NtRp21025
(dp21026
g13
Nsg14
Nsg15
V2019-06-04
p21027
sbNNg8
(g9
g10
NtRp21028
(dp21029
g13
Nsg14
Nsg15
Vland use|urban area
p21030
sbg8
(g9
g10
NtRp21031
(dp21032
g13
Nsg14
Nsg15
Vvector
p21033
sbg8
(g9
g10
NtRp21034
(dp21035
g13
Nsg14
Nsg15
VSHP
p21036
sbNg8
(g9
g10
NtRp21037
(dp21038
g13
Nsg14
Nsg15
V1:10000
p21039
sbNg8
(g9
g10
NtRp21040
(dp21041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50922730710030919192B5 (P) (Date: 2007/10/03) \u000a                      * Spot 5 2,50 m - 50922740709180908111B3 (P) (Date: 2007/09/18) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070610_091916_DLR_7327_PREU (XS) (Date: 2007/06/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070610_091925_DLR_7327_PREU (XS) (Date: 2007/06/10) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070627_092124_DLR_7575_PREU (XS) (Date: 2007/06/27) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070627_092132_DLR_7575_PREU (XS) (Date: 2007/06/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070610_091916_DLR_7327_PREU (P) (Date: 2007/06/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070610_091920_DLR_7327_PREU (P) (Date: 2007/06/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070610_091925_DLR_7327_PREU (P) (Date: 2007/06/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070627_092124_DLR_7575_PREU (P) (Date: 2007/06/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070627_092128_DLR_7575_PREU (P) (Date: 2007/06/27)
p21042
sbg8
(g9
g10
NtRp21043
(dp21044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48e8510b-c089-4533-910f-7a416427f832
p21045
sbg8
(g9
g10
NtRp21046
(dp21047
g13
Nsg14
g74
sg15
V2007
p21048
sbg8
(g9
g10
NtRp21049
(dp21050
g13
Nsg14
g74
sg15
V2007
p21051
sbg8
(g9
g10
NtRp21052
(dp21053
g13
Nsg14
Nsg15
VFALSE
p21054
sbg8
(g9
g10
NtRp21055
(dp21056
g13
Nsg14
Nsg15
VAthens|Greece|Land use
p21057
sbg8
(g9
g10
NtRp21058
(dp21059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21060
sbg8
(g9
g10
NtRp21061
(dp21062
g13
Nsg14
Nsg15
VFALSE
p21063
sbNg8
(g9
g10
NtRp21064
(dp21065
g13
Nsg14
Nsg15
VFALSE
p21066
sbNNNNNNNg8
(g9
g10
NtRp21067
(dp21068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21069
(dp21070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21071
(dp21072
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr001l_athina_2007
p21073
sbNg8
(g9
g10
NtRp21074
(dp21075
g13
Nsg14
Nsg15
Vobsolete
p21076
sbtp21077
a(g8
(g9
g10
NtRp21078
(dp21079
g13
Nsg14
Nsg15
V72045af2-b2b0-483a-b649-16e7352e41ea
p21080
sbNg8
(g9
g10
NtRp21081
(dp21082
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Venice (Venezia)
p21083
sbNNNNNg8
(g9
g10
NtRp21084
(dp21085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21086
sbg8
(g23
g10
NtRp21087
(dp21088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21089
sbNg8
(g9
g10
NtRp21090
(dp21091
g13
Nsg14
Nsg15
VFALSE
p21092
sbNNNg8
(g9
g10
NtRp21093
(dp21094
g13
Nsg14
Nsg15
VFALSE
p21095
sbNNg8
(g9
g10
NtRp21096
(dp21097
g13
Nsg14
Nsg15
VFALSE
p21098
sbNNg8
(g9
g10
NtRp21099
(dp21100
g13
Nsg14
Nsg15
VFALSE
p21101
sbNg8
(g9
g10
NtRp21102
(dp21103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/72045af2-b2b0-483a-b649-16e7352e41ea.png
p21104
sbNg8
(g9
g10
NtRp21105
(dp21106
g13
Nsg14
Nsg15
V2019-06-04
p21107
sbNNg8
(g9
g10
NtRp21108
(dp21109
g13
Nsg14
Nsg15
Vland use|urban area
p21110
sbg8
(g9
g10
NtRp21111
(dp21112
g13
Nsg14
Nsg15
Vvector
p21113
sbg8
(g9
g10
NtRp21114
(dp21115
g13
Nsg14
Nsg15
VSHP
p21116
sbNg8
(g9
g10
NtRp21117
(dp21118
g13
Nsg14
Nsg15
V1:10000
p21119
sbNg8
(g9
g10
NtRp21120
(dp21121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157012 (PS) (Date: 2005/09/02) \u000a                      * Spot 5 2,50 m - 00187321001 (PS) (Date: 2006/07/10)
p21122
sbg8
(g9
g10
NtRp21123
(dp21124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72045af2-b2b0-483a-b649-16e7352e41ea
p21125
sbg8
(g9
g10
NtRp21126
(dp21127
g13
Nsg14
g74
sg15
V2005
p21128
sbg8
(g9
g10
NtRp21129
(dp21130
g13
Nsg14
g74
sg15
V2006
p21131
sbg8
(g9
g10
NtRp21132
(dp21133
g13
Nsg14
Nsg15
VTRUE
p21134
sbg8
(g9
g10
NtRp21135
(dp21136
g13
Nsg14
Nsg15
VItaly|Land use|Venice
p21137
sbg8
(g9
g10
NtRp21138
(dp21139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21140
sbg8
(g9
g10
NtRp21141
(dp21142
g13
Nsg14
Nsg15
VFALSE
p21143
sbNg8
(g9
g10
NtRp21144
(dp21145
g13
Nsg14
Nsg15
VFALSE
p21146
sbNNNNNNNg8
(g9
g10
NtRp21147
(dp21148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21149
(dp21150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21151
(dp21152
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it011l_venezia_2005-2006
p21153
sbNg8
(g9
g10
NtRp21154
(dp21155
g13
Nsg14
Nsg15
Vobsolete
p21156
sbtp21157
a(g8
(g9
g10
NtRp21158
(dp21159
g13
Nsg14
Nsg15
V873ffaa0-6043-4c6c-893c-179367249f79
p21160
sbNg8
(g9
g10
NtRp21161
(dp21162
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Cz\u0119stochowa
p21163
sbNNNNNg8
(g9
g10
NtRp21164
(dp21165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21166
sbg8
(g23
g10
NtRp21167
(dp21168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21169
sbNg8
(g9
g10
NtRp21170
(dp21171
g13
Nsg14
Nsg15
VFALSE
p21172
sbNNNg8
(g9
g10
NtRp21173
(dp21174
g13
Nsg14
Nsg15
VFALSE
p21175
sbNNg8
(g9
g10
NtRp21176
(dp21177
g13
Nsg14
Nsg15
VFALSE
p21178
sbNNg8
(g9
g10
NtRp21179
(dp21180
g13
Nsg14
Nsg15
VFALSE
p21181
sbNg8
(g9
g10
NtRp21182
(dp21183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/873ffaa0-6043-4c6c-893c-179367249f79.png
p21184
sbNg8
(g9
g10
NtRp21185
(dp21186
g13
Nsg14
Nsg15
V2019-06-04
p21187
sbNNg8
(g9
g10
NtRp21188
(dp21189
g13
Nsg14
Nsg15
Vland use|urban area
p21190
sbg8
(g9
g10
NtRp21191
(dp21192
g13
Nsg14
Nsg15
Vvector
p21193
sbg8
(g9
g10
NtRp21194
(dp21195
g13
Nsg14
Nsg15
VSHP
p21196
sbNg8
(g9
g10
NtRp21197
(dp21198
g13
Nsg14
Nsg15
V1:10000
p21199
sbNg8
(g9
g10
NtRp21200
(dp21201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186550003 (XS) (Date: 2008/04/26) \u000a                      * Spot 5 2,50 m - 00186550008 (P) (Date: 2008/04/26) \u000a                      * Spot 5 2,50 m - 50732470607170939341B1 (P) (Date: 2006/07/17) \u000a                      * Spot 5 2,50 m - 50732470607170939361J1 (XS) (Date: 2006/07/17) \u000a                      * ALOS 2,5 m - AL_AV2_X_20070923_095155_DLR_8859_PREU (XS) (Date: 2007/09/23) \u000a                      * ALOS 2,5 m - AL_AV2_X_20070923_095203_DLR_8859_PREU (XS) (Date: 2007/09/23)
p21202
sbg8
(g9
g10
NtRp21203
(dp21204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/873ffaa0-6043-4c6c-893c-179367249f79
p21205
sbg8
(g9
g10
NtRp21206
(dp21207
g13
Nsg14
g74
sg15
V2006
p21208
sbg8
(g9
g10
NtRp21209
(dp21210
g13
Nsg14
g74
sg15
V2008
p21211
sbg8
(g9
g10
NtRp21212
(dp21213
g13
Nsg14
Nsg15
VTRUE
p21214
sbg8
(g9
g10
NtRp21215
(dp21216
g13
Nsg14
Nsg15
VCz\u0119stochowa|Land use|Poland
p21217
sbg8
(g9
g10
NtRp21218
(dp21219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21220
sbg8
(g9
g10
NtRp21221
(dp21222
g13
Nsg14
Nsg15
VFALSE
p21223
sbNg8
(g9
g10
NtRp21224
(dp21225
g13
Nsg14
Nsg15
VFALSE
p21226
sbNNNNNNNg8
(g9
g10
NtRp21227
(dp21228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21229
(dp21230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21231
(dp21232
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl024l_czestochowa_2006-2008
p21233
sbNg8
(g9
g10
NtRp21234
(dp21235
g13
Nsg14
Nsg15
Vobsolete
p21236
sbtp21237
a(g8
(g9
g10
NtRp21238
(dp21239
g13
Nsg14
Nsg15
V58e69c0a-23a2-4c50-b409-85cd83293767
p21240
sbNg8
(g9
g10
NtRp21241
(dp21242
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Salerno
p21243
sbNNNNNg8
(g9
g10
NtRp21244
(dp21245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21246
sbg8
(g23
g10
NtRp21247
(dp21248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21249
sbNg8
(g9
g10
NtRp21250
(dp21251
g13
Nsg14
Nsg15
VFALSE
p21252
sbNNNg8
(g9
g10
NtRp21253
(dp21254
g13
Nsg14
Nsg15
VFALSE
p21255
sbNNg8
(g9
g10
NtRp21256
(dp21257
g13
Nsg14
Nsg15
VFALSE
p21258
sbNNg8
(g9
g10
NtRp21259
(dp21260
g13
Nsg14
Nsg15
VFALSE
p21261
sbNg8
(g9
g10
NtRp21262
(dp21263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/58e69c0a-23a2-4c50-b409-85cd83293767.png
p21264
sbNg8
(g9
g10
NtRp21265
(dp21266
g13
Nsg14
Nsg15
V2019-06-04
p21267
sbNNg8
(g9
g10
NtRp21268
(dp21269
g13
Nsg14
Nsg15
Vland use|urban area
p21270
sbg8
(g9
g10
NtRp21271
(dp21272
g13
Nsg14
Nsg15
Vvector
p21273
sbg8
(g9
g10
NtRp21274
(dp21275
g13
Nsg14
Nsg15
VSHP
p21276
sbNg8
(g9
g10
NtRp21277
(dp21278
g13
Nsg14
Nsg15
V1:10000
p21279
sbNg8
(g9
g10
NtRp21280
(dp21281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50712680607161001482B0 (PS) (Date: 2006/07/16) \u000a                      * Spot 5 2,50 m - 50722680712071008581B3 (PS) (Date: 2007/12/07)
p21282
sbg8
(g9
g10
NtRp21283
(dp21284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/58e69c0a-23a2-4c50-b409-85cd83293767
p21285
sbg8
(g9
g10
NtRp21286
(dp21287
g13
Nsg14
g74
sg15
V2006
p21288
sbg8
(g9
g10
NtRp21289
(dp21290
g13
Nsg14
g74
sg15
V2007
p21291
sbg8
(g9
g10
NtRp21292
(dp21293
g13
Nsg14
Nsg15
VTRUE
p21294
sbg8
(g9
g10
NtRp21295
(dp21296
g13
Nsg14
Nsg15
VItaly|Land use|Salerno
p21297
sbg8
(g9
g10
NtRp21298
(dp21299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21300
sbg8
(g9
g10
NtRp21301
(dp21302
g13
Nsg14
Nsg15
VFALSE
p21303
sbNg8
(g9
g10
NtRp21304
(dp21305
g13
Nsg14
Nsg15
VFALSE
p21306
sbNNNNNNNg8
(g9
g10
NtRp21307
(dp21308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21309
(dp21310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21311
(dp21312
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it032l_salerno_2006-2007
p21313
sbNg8
(g9
g10
NtRp21314
(dp21315
g13
Nsg14
Nsg15
Vobsolete
p21316
sbtp21317
a(g8
(g9
g10
NtRp21318
(dp21319
g13
Nsg14
Nsg15
V2e6ea725-5335-448f-808c-056d33e87eed
p21320
sbNg8
(g9
g10
NtRp21321
(dp21322
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Vidin (\u0412\u0438\u0434\u0438\u043d)
p21323
sbNNNNNg8
(g9
g10
NtRp21324
(dp21325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21326
sbg8
(g23
g10
NtRp21327
(dp21328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21329
sbNg8
(g9
g10
NtRp21330
(dp21331
g13
Nsg14
Nsg15
VFALSE
p21332
sbNNNg8
(g9
g10
NtRp21333
(dp21334
g13
Nsg14
Nsg15
VFALSE
p21335
sbNNg8
(g9
g10
NtRp21336
(dp21337
g13
Nsg14
Nsg15
VFALSE
p21338
sbNNg8
(g9
g10
NtRp21339
(dp21340
g13
Nsg14
Nsg15
VFALSE
p21341
sbNg8
(g9
g10
NtRp21342
(dp21343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e6ea725-5335-448f-808c-056d33e87eed.png
p21344
sbNg8
(g9
g10
NtRp21345
(dp21346
g13
Nsg14
Nsg15
V2019-06-04
p21347
sbNNg8
(g9
g10
NtRp21348
(dp21349
g13
Nsg14
Nsg15
Vland use|urban area
p21350
sbg8
(g9
g10
NtRp21351
(dp21352
g13
Nsg14
Nsg15
Vvector
p21353
sbg8
(g9
g10
NtRp21354
(dp21355
g13
Nsg14
Nsg15
VSHP
p21356
sbNg8
(g9
g10
NtRp21357
(dp21358
g13
Nsg14
Nsg15
V1:10000
p21359
sbNg8
(g9
g10
NtRp21360
(dp21361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50852610705110908371B3 (PS) (Date: 2007/05/11)
p21362
sbg8
(g9
g10
NtRp21363
(dp21364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e6ea725-5335-448f-808c-056d33e87eed
p21365
sbg8
(g9
g10
NtRp21366
(dp21367
g13
Nsg14
g74
sg15
V2007
p21368
sbg8
(g9
g10
NtRp21369
(dp21370
g13
Nsg14
g74
sg15
V2007
p21371
sbg8
(g9
g10
NtRp21372
(dp21373
g13
Nsg14
Nsg15
VFALSE
p21374
sbg8
(g9
g10
NtRp21375
(dp21376
g13
Nsg14
Nsg15
VBulgaria|Land use|Vidin
p21377
sbg8
(g9
g10
NtRp21378
(dp21379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21380
sbg8
(g9
g10
NtRp21381
(dp21382
g13
Nsg14
Nsg15
VFALSE
p21383
sbNg8
(g9
g10
NtRp21384
(dp21385
g13
Nsg14
Nsg15
VFALSE
p21386
sbNNNNNNNg8
(g9
g10
NtRp21387
(dp21388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21389
(dp21390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21391
(dp21392
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-bg007l_vidin_2007
p21393
sbNg8
(g9
g10
NtRp21394
(dp21395
g13
Nsg14
Nsg15
Vobsolete
p21396
sbtp21397
a(g8
(g9
g10
NtRp21398
(dp21399
g13
Nsg14
Nsg15
Vc71e24ba-bbbf-4d4a-9515-3d29b7444681
p21400
sbNg8
(g9
g10
NtRp21401
(dp21402
g13
Nsg14
Nsg15
VUrban Atlas - France - Clermont-Ferrand
p21403
sbNNNNNg8
(g9
g10
NtRp21404
(dp21405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21406
sbg8
(g23
g10
NtRp21407
(dp21408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21409
sbNg8
(g9
g10
NtRp21410
(dp21411
g13
Nsg14
Nsg15
VFALSE
p21412
sbNNNg8
(g9
g10
NtRp21413
(dp21414
g13
Nsg14
Nsg15
VFALSE
p21415
sbNNg8
(g9
g10
NtRp21416
(dp21417
g13
Nsg14
Nsg15
VFALSE
p21418
sbNNg8
(g9
g10
NtRp21419
(dp21420
g13
Nsg14
Nsg15
VFALSE
p21421
sbNg8
(g9
g10
NtRp21422
(dp21423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c71e24ba-bbbf-4d4a-9515-3d29b7444681.png
p21424
sbNg8
(g9
g10
NtRp21425
(dp21426
g13
Nsg14
Nsg15
V2019-06-04
p21427
sbNNg8
(g9
g10
NtRp21428
(dp21429
g13
Nsg14
Nsg15
Vland use|urban area
p21430
sbg8
(g9
g10
NtRp21431
(dp21432
g13
Nsg14
Nsg15
Vvector
p21433
sbg8
(g9
g10
NtRp21434
(dp21435
g13
Nsg14
Nsg15
VSHP
p21436
sbNg8
(g9
g10
NtRp21437
(dp21438
g13
Nsg14
Nsg15
V1:10000
p21439
sbNg8
(g9
g10
NtRp21440
(dp21441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157010 (PS) (Date: 2005/08/30) \u000a                      * Spot 5 2,50 m - 00187157038 (PS) (Date: 2006/10/30)
p21442
sbg8
(g9
g10
NtRp21443
(dp21444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c71e24ba-bbbf-4d4a-9515-3d29b7444681
p21445
sbg8
(g9
g10
NtRp21446
(dp21447
g13
Nsg14
g74
sg15
V2005
p21448
sbg8
(g9
g10
NtRp21449
(dp21450
g13
Nsg14
g74
sg15
V2006
p21451
sbg8
(g9
g10
NtRp21452
(dp21453
g13
Nsg14
Nsg15
VTRUE
p21454
sbg8
(g9
g10
NtRp21455
(dp21456
g13
Nsg14
Nsg15
VClermont-Ferrand|France|Land use
p21457
sbg8
(g9
g10
NtRp21458
(dp21459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21460
sbg8
(g9
g10
NtRp21461
(dp21462
g13
Nsg14
Nsg15
VFALSE
p21463
sbNg8
(g9
g10
NtRp21464
(dp21465
g13
Nsg14
Nsg15
VFALSE
p21466
sbNNNNNNNg8
(g9
g10
NtRp21467
(dp21468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21469
(dp21470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21471
(dp21472
g13
Nsg14
Nsg15
Vregio_v_32631_50_k_urban-atlas-fr022l_clermont_ferrand_2005-2006
p21473
sbNg8
(g9
g10
NtRp21474
(dp21475
g13
Nsg14
Nsg15
Vobsolete
p21476
sbtp21477
a(g8
(g9
g10
NtRp21478
(dp21479
g13
Nsg14
Nsg15
V0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8
p21480
sbNg8
(g9
g10
NtRp21481
(dp21482
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Gothenburg (Göteborg)
p21483
sbNNNNNg8
(g9
g10
NtRp21484
(dp21485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21486
sbg8
(g23
g10
NtRp21487
(dp21488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21489
sbNg8
(g9
g10
NtRp21490
(dp21491
g13
Nsg14
Nsg15
VFALSE
p21492
sbNNNg8
(g9
g10
NtRp21493
(dp21494
g13
Nsg14
Nsg15
VFALSE
p21495
sbNNg8
(g9
g10
NtRp21496
(dp21497
g13
Nsg14
Nsg15
VFALSE
p21498
sbNNg8
(g9
g10
NtRp21499
(dp21500
g13
Nsg14
Nsg15
VFALSE
p21501
sbNg8
(g9
g10
NtRp21502
(dp21503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8.png
p21504
sbNg8
(g9
g10
NtRp21505
(dp21506
g13
Nsg14
Nsg15
V2019-06-04
p21507
sbNNg8
(g9
g10
NtRp21508
(dp21509
g13
Nsg14
Nsg15
Vland use|urban area
p21510
sbg8
(g9
g10
NtRp21511
(dp21512
g13
Nsg14
Nsg15
Vvector
p21513
sbg8
(g9
g10
NtRp21514
(dp21515
g13
Nsg14
Nsg15
VSHP
p21516
sbNg8
(g9
g10
NtRp21517
(dp21518
g13
Nsg14
Nsg15
V1:10000
p21519
sbNg8
(g9
g10
NtRp21520
(dp21521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50492311004111047262B0 (PS) (Date: 2010/04/11) \u000a                      * Spot 5 2,50 m - 50492320909061017272B0 (PS) (Date: 2009/09/06) \u000a                      * Spot 5 2,50 m - 50502310910171029452B0 (PS) (Date: 2009/10/17) \u000a                      * Spot 5 2,50 m - 50502320906231058092B0 (PS) (Date: 2009/06/23) \u000a                      * Spot 5 2,50 m - 50502330906231058172B0 (PS) (Date: 2009/06/23)
p21522
sbg8
(g9
g10
NtRp21523
(dp21524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8
p21525
sbg8
(g9
g10
NtRp21526
(dp21527
g13
Nsg14
g74
sg15
V2009
p21528
sbg8
(g9
g10
NtRp21529
(dp21530
g13
Nsg14
g74
sg15
V2010
p21531
sbg8
(g9
g10
NtRp21532
(dp21533
g13
Nsg14
Nsg15
VTRUE
p21534
sbg8
(g9
g10
NtRp21535
(dp21536
g13
Nsg14
Nsg15
VGothenburg|Land use|Sweden
p21537
sbg8
(g9
g10
NtRp21538
(dp21539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21540
sbg8
(g9
g10
NtRp21541
(dp21542
g13
Nsg14
Nsg15
VFALSE
p21543
sbNg8
(g9
g10
NtRp21544
(dp21545
g13
Nsg14
Nsg15
VFALSE
p21546
sbNNNNNNNg8
(g9
g10
NtRp21547
(dp21548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21549
(dp21550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21551
(dp21552
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-se002l_goteborg_2009-2010
p21553
sbNg8
(g9
g10
NtRp21554
(dp21555
g13
Nsg14
Nsg15
Vobsolete
p21556
sbtp21557
a(g8
(g9
g10
NtRp21558
(dp21559
g13
Nsg14
Nsg15
Vf75726e2-83d7-483a-a920-db0c0f8a7118
p21560
sbNg8
(g9
g10
NtRp21561
(dp21562
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Ioannina (Ioánnina)
p21563
sbNNNNNg8
(g9
g10
NtRp21564
(dp21565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21566
sbg8
(g23
g10
NtRp21567
(dp21568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21569
sbNg8
(g9
g10
NtRp21570
(dp21571
g13
Nsg14
Nsg15
VFALSE
p21572
sbNNNg8
(g9
g10
NtRp21573
(dp21574
g13
Nsg14
Nsg15
VFALSE
p21575
sbNNg8
(g9
g10
NtRp21576
(dp21577
g13
Nsg14
Nsg15
VFALSE
p21578
sbNNg8
(g9
g10
NtRp21579
(dp21580
g13
Nsg14
Nsg15
VFALSE
p21581
sbNg8
(g9
g10
NtRp21582
(dp21583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f75726e2-83d7-483a-a920-db0c0f8a7118.png
p21584
sbNg8
(g9
g10
NtRp21585
(dp21586
g13
Nsg14
Nsg15
V2019-06-04
p21587
sbNNg8
(g9
g10
NtRp21588
(dp21589
g13
Nsg14
Nsg15
Vland use|urban area
p21590
sbg8
(g9
g10
NtRp21591
(dp21592
g13
Nsg14
Nsg15
Vvector
p21593
sbg8
(g9
g10
NtRp21594
(dp21595
g13
Nsg14
Nsg15
VSHP
p21596
sbNg8
(g9
g10
NtRp21597
(dp21598
g13
Nsg14
Nsg15
V1:10000
p21599
sbNg8
(g9
g10
NtRp21600
(dp21601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538037 (PS) (Date: 2006/09/07) \u000a                      * Spot 5 2,50 m - 00183538049 (PS) (Date: 2006/10/19) \u000a                      * Spot 5 2,50 m - 00183538050 (PS) (Date: 2006/10/19)
p21602
sbg8
(g9
g10
NtRp21603
(dp21604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f75726e2-83d7-483a-a920-db0c0f8a7118
p21605
sbg8
(g9
g10
NtRp21606
(dp21607
g13
Nsg14
g74
sg15
V2006
p21608
sbg8
(g9
g10
NtRp21609
(dp21610
g13
Nsg14
g74
sg15
V2006
p21611
sbg8
(g9
g10
NtRp21612
(dp21613
g13
Nsg14
Nsg15
VFALSE
p21614
sbg8
(g9
g10
NtRp21615
(dp21616
g13
Nsg14
Nsg15
VGreece|Ioannina|Land use
p21617
sbg8
(g9
g10
NtRp21618
(dp21619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21620
sbg8
(g9
g10
NtRp21621
(dp21622
g13
Nsg14
Nsg15
VFALSE
p21623
sbNg8
(g9
g10
NtRp21624
(dp21625
g13
Nsg14
Nsg15
VFALSE
p21626
sbNNNNNNNg8
(g9
g10
NtRp21627
(dp21628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21629
(dp21630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21631
(dp21632
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr007l_ioannina_2006
p21633
sbNg8
(g9
g10
NtRp21634
(dp21635
g13
Nsg14
Nsg15
Vobsolete
p21636
sbtp21637
a(g8
(g9
g10
NtRp21638
(dp21639
g13
Nsg14
Nsg15
V2118845e-d1a1-47a7-8dbd-518a654b0629
p21640
sbNg8
(g9
g10
NtRp21641
(dp21642
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Stuttgart
p21643
sbNNNNNg8
(g9
g10
NtRp21644
(dp21645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21646
sbg8
(g23
g10
NtRp21647
(dp21648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21649
sbNg8
(g9
g10
NtRp21650
(dp21651
g13
Nsg14
Nsg15
VFALSE
p21652
sbNNNg8
(g9
g10
NtRp21653
(dp21654
g13
Nsg14
Nsg15
VFALSE
p21655
sbNNg8
(g9
g10
NtRp21656
(dp21657
g13
Nsg14
Nsg15
VFALSE
p21658
sbNNg8
(g9
g10
NtRp21659
(dp21660
g13
Nsg14
Nsg15
VFALSE
p21661
sbNg8
(g9
g10
NtRp21662
(dp21663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2118845e-d1a1-47a7-8dbd-518a654b0629.png
p21664
sbNg8
(g9
g10
NtRp21665
(dp21666
g13
Nsg14
Nsg15
V2019-06-04
p21667
sbNNg8
(g9
g10
NtRp21668
(dp21669
g13
Nsg14
Nsg15
Vland use|urban area
p21670
sbg8
(g9
g10
NtRp21671
(dp21672
g13
Nsg14
Nsg15
Vvector
p21673
sbg8
(g9
g10
NtRp21674
(dp21675
g13
Nsg14
Nsg15
VSHP
p21676
sbNg8
(g9
g10
NtRp21677
(dp21678
g13
Nsg14
Nsg15
V1:10000
p21679
sbNg8
(g9
g10
NtRp21680
(dp21681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50522520509201050302B0 (Date: 2005/09/20) \u000a                      * Spot 5 2,50 m - 50532510509201050222B0 (Date: 2005/09/20) \u000a                      * ALOS 10 m - AL_AV2_X_20061016_110416_DLR_3871_PRUTM (Date: 2006/10/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070607_103123_DLR_7284_PRUTM (Date: 2007/06/07) \u000a                      * ALOS 10 m - AL_AV2_X_20070607_103131_DLR_7284_PRUTM (Date: 2007/06/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070422_103126_DLR_6613_PRUTM (Date: 2007/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070422_103130_DLR_6613_PRUTM (Date: 2007/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070521_102916_DLR_7036_PRUTM (Date: 2007/05/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070521_102920_DLR_7036_PRUTM (Date: 2007/05/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070521_102924_DLR_7036_PRUTM (Date: 2007/05/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070607_103123_DLR_7284_PRUTM (Date: 2007/06/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070607_103127_DLR_7284_PRUTM (Date: 2007/06/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090410_102949_DLR_17101_PRUTM (Date: 2009/04/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090410_102954_DLR_17101_PRUTM (Date: 2009/04/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090410_102958_DLR_17101_PRUTM (Date: 2009/04/10) \u000a                      * ALOS 2,50 m - 2009-07-27T111157_RE5_3A-NAC_6201082_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111158_RE5_3A-NAC_6200879_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111159_RE5_3A-NAC_6200882_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111201_RE5_3A-NAC_6201080_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111202_RE5_3A-NAC_6200878_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111205_RE5_3A-NAC_6200949_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111205_RE5_3A-NAC_6200881_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-07-27T111209_RE5_3A-NAC_6201081_110198 (Date: 2009/07/27) \u000a                      * ALOS 2,50 m - 2009-09-01T110748_RE3_3A-NAC_6200877_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110752_RE3_3A-NAC_6200948_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110753_RE3_3A-NAC_6201083_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110755_RE3_3A-NAC_6200950_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110755_RE3_3A-NAC_6201079_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110756_RE3_3A-NAC_6200876_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110759_RE3_3A-NAC_6200884_110198 (Date: 2009/09/01) \u000a                      * ALOS 2,50 m - 2009-09-01T110759_RE3_3A-NAC_6201387_110198 (Date: 2009/09/01)
p21682
sbg8
(g9
g10
NtRp21683
(dp21684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2118845e-d1a1-47a7-8dbd-518a654b0629
p21685
sbg8
(g9
g10
NtRp21686
(dp21687
g13
Nsg14
g74
sg15
V2005
p21688
sbg8
(g9
g10
NtRp21689
(dp21690
g13
Nsg14
g74
sg15
V2009
p21691
sbg8
(g9
g10
NtRp21692
(dp21693
g13
Nsg14
Nsg15
VTRUE
p21694
sbg8
(g9
g10
NtRp21695
(dp21696
g13
Nsg14
Nsg15
VGermany|Land use|Stuttgart
p21697
sbg8
(g9
g10
NtRp21698
(dp21699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21700
sbg8
(g9
g10
NtRp21701
(dp21702
g13
Nsg14
Nsg15
VFALSE
p21703
sbNg8
(g9
g10
NtRp21704
(dp21705
g13
Nsg14
Nsg15
VFALSE
p21706
sbNNNNNNNg8
(g9
g10
NtRp21707
(dp21708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21709
(dp21710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21711
(dp21712
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de007l_stuttgart_2005-2009
p21713
sbNg8
(g9
g10
NtRp21714
(dp21715
g13
Nsg14
Nsg15
Vobsolete
p21716
sbtp21717
a(g8
(g9
g10
NtRp21718
(dp21719
g13
Nsg14
Nsg15
V7adb000d-d839-450d-8adf-7bbe5728e66d
p21720
sbNg8
(g9
g10
NtRp21721
(dp21722
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Zaragoza (Zaragosa)
p21723
sbNNNNNg8
(g9
g10
NtRp21724
(dp21725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21726
sbg8
(g23
g10
NtRp21727
(dp21728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21729
sbNg8
(g9
g10
NtRp21730
(dp21731
g13
Nsg14
Nsg15
VFALSE
p21732
sbNNNg8
(g9
g10
NtRp21733
(dp21734
g13
Nsg14
Nsg15
VFALSE
p21735
sbNNg8
(g9
g10
NtRp21736
(dp21737
g13
Nsg14
Nsg15
VFALSE
p21738
sbNNg8
(g9
g10
NtRp21739
(dp21740
g13
Nsg14
Nsg15
VFALSE
p21741
sbNg8
(g9
g10
NtRp21742
(dp21743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7adb000d-d839-450d-8adf-7bbe5728e66d.png
p21744
sbNg8
(g9
g10
NtRp21745
(dp21746
g13
Nsg14
Nsg15
V2019-06-04
p21747
sbNNg8
(g9
g10
NtRp21748
(dp21749
g13
Nsg14
Nsg15
Vland use|urban area
p21750
sbg8
(g9
g10
NtRp21751
(dp21752
g13
Nsg14
Nsg15
Vvector
p21753
sbg8
(g9
g10
NtRp21754
(dp21755
g13
Nsg14
Nsg15
VSHP
p21756
sbNg8
(g9
g10
NtRp21757
(dp21758
g13
Nsg14
Nsg15
V1:10000
p21759
sbNg8
(g9
g10
NtRp21760
(dp21761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113716_DLR_6001_PREU (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113724_DLR_6001_PREU (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070714_110117_DLR_7824_PREU (XS) (Date: 2007/07/14) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070714_110125_DLR_7824_PREU (XS) (Date: 2007/07/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070529_110121_DLR_7153_PREU (P) (Date: 2007/05/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070529_110126_DLR_7153_PREU (P) (Date: 2007/05/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070615_110324_DLR_7401_PREU (P) (Date: 2007/06/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070615_110328_DLR_7401_PREU (P) (Date: 2007/06/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070714_110112_DLR_7824_PREU (P) (Date: 2007/07/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070714_110117_DLR_7824_PREU (P) (Date: 2007/07/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070714_110121_DLR_7824_PREU (P) (Date: 2007/07/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080502_110033_DLR_12098_PREU (P) (Date: 2008/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080502_110037_DLR_12098_PREU (P) (Date: 2008/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080502_110041_DLR_12098_PREU (P) (Date: 2008/05/02)
p21762
sbg8
(g9
g10
NtRp21763
(dp21764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7adb000d-d839-450d-8adf-7bbe5728e66d
p21765
sbg8
(g9
g10
NtRp21766
(dp21767
g13
Nsg14
g74
sg15
V2007
p21768
sbg8
(g9
g10
NtRp21769
(dp21770
g13
Nsg14
g74
sg15
V2008
p21771
sbg8
(g9
g10
NtRp21772
(dp21773
g13
Nsg14
Nsg15
VTRUE
p21774
sbg8
(g9
g10
NtRp21775
(dp21776
g13
Nsg14
Nsg15
VLand use|Spain|Zaragoza
p21777
sbg8
(g9
g10
NtRp21778
(dp21779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21780
sbg8
(g9
g10
NtRp21781
(dp21782
g13
Nsg14
Nsg15
VFALSE
p21783
sbNg8
(g9
g10
NtRp21784
(dp21785
g13
Nsg14
Nsg15
VFALSE
p21786
sbNNNNNNNg8
(g9
g10
NtRp21787
(dp21788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21789
(dp21790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21791
(dp21792
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es005l_zaragoza_2007-2008
p21793
sbNg8
(g9
g10
NtRp21794
(dp21795
g13
Nsg14
Nsg15
Vobsolete
p21796
sbtp21797
a(g8
(g9
g10
NtRp21798
(dp21799
g13
Nsg14
Nsg15
V7c5719d8-425e-4cfa-8d96-95d5715dbd01
p21800
sbNg8
(g9
g10
NtRp21801
(dp21802
g13
Nsg14
Nsg15
VUrban Atlas - France - Dijon
p21803
sbNNNNNg8
(g9
g10
NtRp21804
(dp21805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21806
sbg8
(g23
g10
NtRp21807
(dp21808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21809
sbNg8
(g9
g10
NtRp21810
(dp21811
g13
Nsg14
Nsg15
VFALSE
p21812
sbNNNg8
(g9
g10
NtRp21813
(dp21814
g13
Nsg14
Nsg15
VFALSE
p21815
sbNNg8
(g9
g10
NtRp21816
(dp21817
g13
Nsg14
Nsg15
VFALSE
p21818
sbNNg8
(g9
g10
NtRp21819
(dp21820
g13
Nsg14
Nsg15
VFALSE
p21821
sbNg8
(g9
g10
NtRp21822
(dp21823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c5719d8-425e-4cfa-8d96-95d5715dbd01.png
p21824
sbNg8
(g9
g10
NtRp21825
(dp21826
g13
Nsg14
Nsg15
V2019-06-04
p21827
sbNNg8
(g9
g10
NtRp21828
(dp21829
g13
Nsg14
Nsg15
Vland use|urban area
p21830
sbg8
(g9
g10
NtRp21831
(dp21832
g13
Nsg14
Nsg15
Vvector
p21833
sbg8
(g9
g10
NtRp21834
(dp21835
g13
Nsg14
Nsg15
VSHP
p21836
sbNg8
(g9
g10
NtRp21837
(dp21838
g13
Nsg14
Nsg15
V1:10000
p21839
sbNg8
(g9
g10
NtRp21840
(dp21841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50462540510121027261B0 (PS) (Date: 2005/10/12) \u000a                      * Spot 5 2,50 m - 50462550510121027341B0 (PS) (Date: 2005/10/12) \u000a                      * Spot 5 2,50 m - 50472540510111046421B4 (PS) (Date: 2005/10/11)
p21842
sbg8
(g9
g10
NtRp21843
(dp21844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c5719d8-425e-4cfa-8d96-95d5715dbd01
p21845
sbg8
(g9
g10
NtRp21846
(dp21847
g13
Nsg14
g74
sg15
V2005
p21848
sbg8
(g9
g10
NtRp21849
(dp21850
g13
Nsg14
g74
sg15
V2005
p21851
sbg8
(g9
g10
NtRp21852
(dp21853
g13
Nsg14
Nsg15
VFALSE
p21854
sbg8
(g9
g10
NtRp21855
(dp21856
g13
Nsg14
Nsg15
VDijon|France|Land use
p21857
sbg8
(g9
g10
NtRp21858
(dp21859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21860
sbg8
(g9
g10
NtRp21861
(dp21862
g13
Nsg14
Nsg15
VFALSE
p21863
sbNg8
(g9
g10
NtRp21864
(dp21865
g13
Nsg14
Nsg15
VFALSE
p21866
sbNNNNNNNg8
(g9
g10
NtRp21867
(dp21868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21869
(dp21870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21871
(dp21872
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr020l_dijon_2005
p21873
sbNg8
(g9
g10
NtRp21874
(dp21875
g13
Nsg14
Nsg15
Vobsolete
p21876
sbtp21877
a(g8
(g9
g10
NtRp21878
(dp21879
g13
Nsg14
Nsg15
V6d0ebc6c-6a09-42d5-889b-6cab30c1439d
p21880
sbNg8
(g9
g10
NtRp21881
(dp21882
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Örebro
p21883
sbNNNNNg8
(g9
g10
NtRp21884
(dp21885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21886
sbg8
(g23
g10
NtRp21887
(dp21888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21889
sbNg8
(g9
g10
NtRp21890
(dp21891
g13
Nsg14
Nsg15
VFALSE
p21892
sbNNNg8
(g9
g10
NtRp21893
(dp21894
g13
Nsg14
Nsg15
VFALSE
p21895
sbNNg8
(g9
g10
NtRp21896
(dp21897
g13
Nsg14
Nsg15
VFALSE
p21898
sbNNg8
(g9
g10
NtRp21899
(dp21900
g13
Nsg14
Nsg15
VFALSE
p21901
sbNg8
(g9
g10
NtRp21902
(dp21903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6d0ebc6c-6a09-42d5-889b-6cab30c1439d.png
p21904
sbNg8
(g9
g10
NtRp21905
(dp21906
g13
Nsg14
Nsg15
V2019-06-04
p21907
sbNNg8
(g9
g10
NtRp21908
(dp21909
g13
Nsg14
Nsg15
Vland use|urban area
p21910
sbg8
(g9
g10
NtRp21911
(dp21912
g13
Nsg14
Nsg15
Vvector
p21913
sbg8
(g9
g10
NtRp21914
(dp21915
g13
Nsg14
Nsg15
VSHP
p21916
sbNg8
(g9
g10
NtRp21917
(dp21918
g13
Nsg14
Nsg15
V1:10000
p21919
sbNg8
(g9
g10
NtRp21920
(dp21921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - OREB_1_50542280710091038512_0 (PS) (Date: 2007/10/09) \u000a                      * Spot 5 2,50 m - OREB_1_50542280710091038512_1 (PS) (Date: 2007/10/09) \u000a                      * Spot 5 2,50 m - OREB_2_50542290710060956312_0 (PS) (Date: 2007/10/06) \u000a                      * Spot 5 2,50 m - OREB_2_50542290710060956312_1 (PS) (Date: 2007/10/06) \u000a                      * Spot 5 2,50 m - OREB_3_50572290806010958002_0 (PS) (Date: 2008/06/01) \u000a                      * Spot 5 2,50 m - OREB_3_50572290806010958002_1 (PS) (Date: 2008/06/01) \u000a                      * Spot 5 2,50 m - OREB_4_50572300804041014312_0 (PS) (Date: 2008/04/04) \u000a                      * Spot 5 2,50 m - OREB_4_50572300804041014312_1 (PS) (Date: 2008/04/04)
p21922
sbg8
(g9
g10
NtRp21923
(dp21924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6d0ebc6c-6a09-42d5-889b-6cab30c1439d
p21925
sbg8
(g9
g10
NtRp21926
(dp21927
g13
Nsg14
g74
sg15
V2007
p21928
sbg8
(g9
g10
NtRp21929
(dp21930
g13
Nsg14
g74
sg15
V2008
p21931
sbg8
(g9
g10
NtRp21932
(dp21933
g13
Nsg14
Nsg15
VTRUE
p21934
sbg8
(g9
g10
NtRp21935
(dp21936
g13
Nsg14
Nsg15
VLand use|Sweden|Örebro
p21937
sbg8
(g9
g10
NtRp21938
(dp21939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p21940
sbg8
(g9
g10
NtRp21941
(dp21942
g13
Nsg14
Nsg15
VFALSE
p21943
sbNg8
(g9
g10
NtRp21944
(dp21945
g13
Nsg14
Nsg15
VFALSE
p21946
sbNNNNNNNg8
(g9
g10
NtRp21947
(dp21948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp21949
(dp21950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp21951
(dp21952
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-se008l_orebro_2007-2008
p21953
sbNg8
(g9
g10
NtRp21954
(dp21955
g13
Nsg14
Nsg15
Vobsolete
p21956
sbtp21957
a(g8
(g9
g10
NtRp21958
(dp21959
g13
Nsg14
Nsg15
V2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a
p21960
sbNg8
(g9
g10
NtRp21961
(dp21962
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Bydgoszcz
p21963
sbNNNNNg8
(g9
g10
NtRp21964
(dp21965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p21966
sbg8
(g23
g10
NtRp21967
(dp21968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p21969
sbNg8
(g9
g10
NtRp21970
(dp21971
g13
Nsg14
Nsg15
VFALSE
p21972
sbNNNg8
(g9
g10
NtRp21973
(dp21974
g13
Nsg14
Nsg15
VFALSE
p21975
sbNNg8
(g9
g10
NtRp21976
(dp21977
g13
Nsg14
Nsg15
VFALSE
p21978
sbNNg8
(g9
g10
NtRp21979
(dp21980
g13
Nsg14
Nsg15
VFALSE
p21981
sbNg8
(g9
g10
NtRp21982
(dp21983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a.png
p21984
sbNg8
(g9
g10
NtRp21985
(dp21986
g13
Nsg14
Nsg15
V2019-06-04
p21987
sbNNg8
(g9
g10
NtRp21988
(dp21989
g13
Nsg14
Nsg15
Vland use|urban area
p21990
sbg8
(g9
g10
NtRp21991
(dp21992
g13
Nsg14
Nsg15
Vvector
p21993
sbg8
(g9
g10
NtRp21994
(dp21995
g13
Nsg14
Nsg15
VSHP
p21996
sbNg8
(g9
g10
NtRp21997
(dp21998
g13
Nsg14
Nsg15
V1:10000
p21999
sbNg8
(g9
g10
NtRp22000
(dp22001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157015 (PS) (Date: 2005/09/08) \u000a                      * Spot 5 2,50 m - 00187157016 (PS) (Date: 2005/09/08) \u000a                      * Spot 5 2,50 m - 00187157040 (PS) (Date: 2007/09/25) \u000a                      * Spot 5 2,50 m - 00187157041 (PS) (Date: 2008/10/09)
p22002
sbg8
(g9
g10
NtRp22003
(dp22004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a
p22005
sbg8
(g9
g10
NtRp22006
(dp22007
g13
Nsg14
g74
sg15
V2005
p22008
sbg8
(g9
g10
NtRp22009
(dp22010
g13
Nsg14
g74
sg15
V2008
p22011
sbg8
(g9
g10
NtRp22012
(dp22013
g13
Nsg14
Nsg15
VTRUE
p22014
sbg8
(g9
g10
NtRp22015
(dp22016
g13
Nsg14
Nsg15
VBydgoszcz|Land use|Poland
p22017
sbg8
(g9
g10
NtRp22018
(dp22019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22020
sbg8
(g9
g10
NtRp22021
(dp22022
g13
Nsg14
Nsg15
VFALSE
p22023
sbNg8
(g9
g10
NtRp22024
(dp22025
g13
Nsg14
Nsg15
VFALSE
p22026
sbNNNNNNNg8
(g9
g10
NtRp22027
(dp22028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22029
(dp22030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22031
(dp22032
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl008l_bydgoszcz_2005-2008
p22033
sbNg8
(g9
g10
NtRp22034
(dp22035
g13
Nsg14
Nsg15
Vobsolete
p22036
sbtp22037
a(g8
(g9
g10
NtRp22038
(dp22039
g13
Nsg14
Nsg15
V6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3
p22040
sbNg8
(g9
g10
NtRp22041
(dp22042
g13
Nsg14
Nsg15
VUrban Atlas - Ireland - Limerick (Luimneach)
p22043
sbNNNNNg8
(g9
g10
NtRp22044
(dp22045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22046
sbg8
(g23
g10
NtRp22047
(dp22048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22049
sbNg8
(g9
g10
NtRp22050
(dp22051
g13
Nsg14
Nsg15
VFALSE
p22052
sbNNNg8
(g9
g10
NtRp22053
(dp22054
g13
Nsg14
Nsg15
VFALSE
p22055
sbNNg8
(g9
g10
NtRp22056
(dp22057
g13
Nsg14
Nsg15
VFALSE
p22058
sbNNg8
(g9
g10
NtRp22059
(dp22060
g13
Nsg14
Nsg15
VFALSE
p22061
sbNg8
(g9
g10
NtRp22062
(dp22063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3.png
p22064
sbNg8
(g9
g10
NtRp22065
(dp22066
g13
Nsg14
Nsg15
V2019-06-04
p22067
sbNNg8
(g9
g10
NtRp22068
(dp22069
g13
Nsg14
Nsg15
Vland use|urban area
p22070
sbg8
(g9
g10
NtRp22071
(dp22072
g13
Nsg14
Nsg15
Vvector
p22073
sbg8
(g9
g10
NtRp22074
(dp22075
g13
Nsg14
Nsg15
VSHP
p22076
sbNg8
(g9
g10
NtRp22077
(dp22078
g13
Nsg14
Nsg15
V1:10000
p22079
sbNg8
(g9
g10
NtRp22080
(dp22081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50132421010111211412B9 (PS) (Date: 2010/10/11) \u000a                      * Spot 5 2,50 m - 50142431003071202512B0 (PS) (Date: 2010/03/07) \u000a                      * Spot 5 2,50 m - 50142441004121210582B0 (PS) (Date: 2010/04/12) \u000a                      * RapidEye 5 m - 2009-09-12T123508_RE5_3A-NAC_5826222_106989 (XS) (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-13T123742_RE1_3A-NAC_5826505_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123743_RE1_3A-NAC_5826502_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123744_RE1_3A-NAC_5826508_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123745_RE1_3A-NAC_5826224_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123745_RE1_3A-NAC_5826346_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123746_RE1_3A-NAC_5826219_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123747_RE1_3A-NAC_5826225_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123748_RE1_3A-NAC_5826227_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123749_RE1_3A-NAC_5826506_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123750_RE1_3A-NAC_5826228_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123750_RE1_3A-NAC_5826223_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123751_RE1_3A-NAC_5826226_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123753_RE1_3A-NAC_5826220_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123754_RE1_3A-NAC_5826504_106989 (XS) (Date: 2009/09/13) \u000a                      * RapidEye 5 m - 2009-09-13T123755_RE1_3A-NAC_5826507_106989 (XS) (Date: 2009/09/13)
p22082
sbg8
(g9
g10
NtRp22083
(dp22084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3
p22085
sbg8
(g9
g10
NtRp22086
(dp22087
g13
Nsg14
g74
sg15
V2009
p22088
sbg8
(g9
g10
NtRp22089
(dp22090
g13
Nsg14
g74
sg15
V2010
p22091
sbg8
(g9
g10
NtRp22092
(dp22093
g13
Nsg14
Nsg15
VTRUE
p22094
sbg8
(g9
g10
NtRp22095
(dp22096
g13
Nsg14
Nsg15
VIreland|Land use|Limerick
p22097
sbg8
(g9
g10
NtRp22098
(dp22099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22100
sbg8
(g9
g10
NtRp22101
(dp22102
g13
Nsg14
Nsg15
VFALSE
p22103
sbNg8
(g9
g10
NtRp22104
(dp22105
g13
Nsg14
Nsg15
VFALSE
p22106
sbNNNNNNNg8
(g9
g10
NtRp22107
(dp22108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22109
(dp22110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22111
(dp22112
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-ie003l_limerick_2009-2010
p22113
sbNg8
(g9
g10
NtRp22114
(dp22115
g13
Nsg14
Nsg15
Vobsolete
p22116
sbtp22117
a(g8
(g9
g10
NtRp22118
(dp22119
g13
Nsg14
Nsg15
V57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b
p22120
sbNg8
(g9
g10
NtRp22121
(dp22122
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Lincoln
p22123
sbNNNNNg8
(g9
g10
NtRp22124
(dp22125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22126
sbg8
(g23
g10
NtRp22127
(dp22128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22129
sbNg8
(g9
g10
NtRp22130
(dp22131
g13
Nsg14
Nsg15
VFALSE
p22132
sbNNNg8
(g9
g10
NtRp22133
(dp22134
g13
Nsg14
Nsg15
VFALSE
p22135
sbNNg8
(g9
g10
NtRp22136
(dp22137
g13
Nsg14
Nsg15
VFALSE
p22138
sbNNg8
(g9
g10
NtRp22139
(dp22140
g13
Nsg14
Nsg15
VFALSE
p22141
sbNg8
(g9
g10
NtRp22142
(dp22143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b.png
p22144
sbNg8
(g9
g10
NtRp22145
(dp22146
g13
Nsg14
Nsg15
V2019-06-04
p22147
sbNNg8
(g9
g10
NtRp22148
(dp22149
g13
Nsg14
Nsg15
Vland use|urban area
p22150
sbg8
(g9
g10
NtRp22151
(dp22152
g13
Nsg14
Nsg15
Vvector
p22153
sbg8
(g9
g10
NtRp22154
(dp22155
g13
Nsg14
Nsg15
VSHP
p22156
sbNg8
(g9
g10
NtRp22157
(dp22158
g13
Nsg14
Nsg15
V1:10000
p22159
sbNg8
(g9
g10
NtRp22160
(dp22161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 06NOV03112705-M1BS-052239075040_01_P001 (PS) (Date: 2006/11/03) \u000a                      * Spot 5 2,50 m - 06NOV03112708-M1BS-052239075040_01_P002 (PS) (Date: 2006/11/03) \u000a                      * Spot 5 2,50 m - 06NOV03112712-M1BS-052239075040_01_P003 (PS) (Date: 2006/11/03) \u000a                      * Spot 5 2,50 m - 07MAY02113137-M1BS-052239075040_01_P004 (PS) (Date: 2007/05/02) \u000a                      * Spot 5 2,50 m - 07MAY02113140-M1BS-052239075040_01_P005 (PS) (Date: 2007/05/02) \u000a                      * Spot 5 2,50 m - 07MAY02113143-M1BS-052239075040_01_P006 (PS) (Date: 2007/05/02) \u000a                      * Spot 5 10 m - 50302420611191116162J0 (XS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50302420611191116142B0 (P) (Date: 2006/11/19) \u000a                      * ALOS 10 m - AL_AV2_X_20090630_111424_DLR_18283_PRUTM (XS) (Date: 2009/06/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090601_111614_DLR_17860_PRUTM (P) (Date: 2009/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090601_111618_DLR_17860_PRUTM (P) (Date: 2009/06/01)
p22162
sbg8
(g9
g10
NtRp22163
(dp22164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b
p22165
sbg8
(g9
g10
NtRp22166
(dp22167
g13
Nsg14
g74
sg15
V2006
p22168
sbg8
(g9
g10
NtRp22169
(dp22170
g13
Nsg14
g74
sg15
V2009
p22171
sbg8
(g9
g10
NtRp22172
(dp22173
g13
Nsg14
Nsg15
VTRUE
p22174
sbg8
(g9
g10
NtRp22175
(dp22176
g13
Nsg14
Nsg15
VLand use|Lincoln|United Kingdom
p22177
sbg8
(g9
g10
NtRp22178
(dp22179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22180
sbg8
(g9
g10
NtRp22181
(dp22182
g13
Nsg14
Nsg15
VFALSE
p22183
sbNg8
(g9
g10
NtRp22184
(dp22185
g13
Nsg14
Nsg15
VFALSE
p22186
sbNNNNNNNg8
(g9
g10
NtRp22187
(dp22188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22189
(dp22190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22191
(dp22192
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk019l_lincoln_2006-2009
p22193
sbNg8
(g9
g10
NtRp22194
(dp22195
g13
Nsg14
Nsg15
Vobsolete
p22196
sbtp22197
a(g8
(g9
g10
NtRp22198
(dp22199
g13
Nsg14
Nsg15
V5620d32d-d0d5-4855-8f88-725c89634879
p22200
sbNg8
(g9
g10
NtRp22201
(dp22202
g13
Nsg14
Nsg15
VUrban Atlas - France - Metz
p22203
sbNNNNNg8
(g9
g10
NtRp22204
(dp22205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22206
sbg8
(g23
g10
NtRp22207
(dp22208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22209
sbNg8
(g9
g10
NtRp22210
(dp22211
g13
Nsg14
Nsg15
VFALSE
p22212
sbNNNg8
(g9
g10
NtRp22213
(dp22214
g13
Nsg14
Nsg15
VFALSE
p22215
sbNNg8
(g9
g10
NtRp22216
(dp22217
g13
Nsg14
Nsg15
VFALSE
p22218
sbNNg8
(g9
g10
NtRp22219
(dp22220
g13
Nsg14
Nsg15
VFALSE
p22221
sbNg8
(g9
g10
NtRp22222
(dp22223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5620d32d-d0d5-4855-8f88-725c89634879.png
p22224
sbNg8
(g9
g10
NtRp22225
(dp22226
g13
Nsg14
Nsg15
V2019-06-04
p22227
sbNNg8
(g9
g10
NtRp22228
(dp22229
g13
Nsg14
Nsg15
Vland use|urban area
p22230
sbg8
(g9
g10
NtRp22231
(dp22232
g13
Nsg14
Nsg15
Vvector
p22233
sbg8
(g9
g10
NtRp22234
(dp22235
g13
Nsg14
Nsg15
VSHP
p22236
sbNg8
(g9
g10
NtRp22237
(dp22238
g13
Nsg14
Nsg15
V1:10000
p22239
sbNg8
(g9
g10
NtRp22240
(dp22241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538001 (PS) (Date: 2005/05/12) \u000a                      * Spot 5 2,50 m - 00183538023 (PS) (Date: 2005/10/12) \u000a                      * Spot 5 2,50 m - 00183538044 (PS) (Date: 2006/10/10)
p22242
sbg8
(g9
g10
NtRp22243
(dp22244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5620d32d-d0d5-4855-8f88-725c89634879
p22245
sbg8
(g9
g10
NtRp22246
(dp22247
g13
Nsg14
g74
sg15
V2005
p22248
sbg8
(g9
g10
NtRp22249
(dp22250
g13
Nsg14
g74
sg15
V2006
p22251
sbg8
(g9
g10
NtRp22252
(dp22253
g13
Nsg14
Nsg15
VTRUE
p22254
sbg8
(g9
g10
NtRp22255
(dp22256
g13
Nsg14
Nsg15
VFrance|Land use|Metz
p22257
sbg8
(g9
g10
NtRp22258
(dp22259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22260
sbg8
(g9
g10
NtRp22261
(dp22262
g13
Nsg14
Nsg15
VFALSE
p22263
sbNg8
(g9
g10
NtRp22264
(dp22265
g13
Nsg14
Nsg15
VFALSE
p22266
sbNNNNNNNg8
(g9
g10
NtRp22267
(dp22268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22269
(dp22270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22271
(dp22272
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr017l_metz_2005-2006
p22273
sbNg8
(g9
g10
NtRp22274
(dp22275
g13
Nsg14
Nsg15
Vobsolete
p22276
sbtp22277
a(g8
(g9
g10
NtRp22278
(dp22279
g13
Nsg14
Nsg15
Vf22daf00-80ba-478a-9b9b-f97d22799f35
p22280
sbNg8
(g9
g10
NtRp22281
(dp22282
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Mainz
p22283
sbNNNNNg8
(g9
g10
NtRp22284
(dp22285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22286
sbg8
(g23
g10
NtRp22287
(dp22288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22289
sbNg8
(g9
g10
NtRp22290
(dp22291
g13
Nsg14
Nsg15
VFALSE
p22292
sbNNNg8
(g9
g10
NtRp22293
(dp22294
g13
Nsg14
Nsg15
VFALSE
p22295
sbNNg8
(g9
g10
NtRp22296
(dp22297
g13
Nsg14
Nsg15
VFALSE
p22298
sbNNg8
(g9
g10
NtRp22299
(dp22300
g13
Nsg14
Nsg15
VFALSE
p22301
sbNg8
(g9
g10
NtRp22302
(dp22303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f22daf00-80ba-478a-9b9b-f97d22799f35.png
p22304
sbNg8
(g9
g10
NtRp22305
(dp22306
g13
Nsg14
Nsg15
V2019-06-04
p22307
sbNNg8
(g9
g10
NtRp22308
(dp22309
g13
Nsg14
Nsg15
Vland use|urban area
p22310
sbg8
(g9
g10
NtRp22311
(dp22312
g13
Nsg14
Nsg15
Vvector
p22313
sbg8
(g9
g10
NtRp22314
(dp22315
g13
Nsg14
Nsg15
VSHP
p22316
sbNg8
(g9
g10
NtRp22317
(dp22318
g13
Nsg14
Nsg15
V1:10000
p22319
sbNg8
(g9
g10
NtRp22320
(dp22321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 10 m - AL_AV2_X_20080701_103611_DLR_12973_PRUTM (XS) (Date: 2008/07/01) \u000a                      * ALOS 10 m - AL_AV2_X_20090617_103839_DLR_18093_PRUTM (XS) (Date: 2009/06/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103602_DLR_17174_PRUTM (P) (Date: 2009/04/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103606_DLR_17174_PRUTM (P) (Date: 2009/04/15) \u000a                      * RapidEye 5 m - 2009-04-19T111455_RE1_3A-NAC_5449638_104050 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-05-19T111319_RE3_3A-NAC_5450303_104050 (XS) (Date: 2009/05/19) \u000a                      * RapidEye 5 m - 2009-08-19T111400_RE4_3A-NAC_5449643_104050 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111401_RE4_3A-NAC_5449644_104050 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111402_RE4_3A-NAC_5449641_104050 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111404_RE4_3A-NAC_5449642_104050 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-04-23T111821_RE3_3A-NAC_5449640_104050 (XS) (Date: 2009/04/23)
p22322
sbg8
(g9
g10
NtRp22323
(dp22324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f22daf00-80ba-478a-9b9b-f97d22799f35
p22325
sbg8
(g9
g10
NtRp22326
(dp22327
g13
Nsg14
g74
sg15
V2008
p22328
sbg8
(g9
g10
NtRp22329
(dp22330
g13
Nsg14
g74
sg15
V2009
p22331
sbg8
(g9
g10
NtRp22332
(dp22333
g13
Nsg14
Nsg15
VTRUE
p22334
sbg8
(g9
g10
NtRp22335
(dp22336
g13
Nsg14
Nsg15
VGermany|Land use|Mainz
p22337
sbg8
(g9
g10
NtRp22338
(dp22339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22340
sbg8
(g9
g10
NtRp22341
(dp22342
g13
Nsg14
Nsg15
VFALSE
p22343
sbNg8
(g9
g10
NtRp22344
(dp22345
g13
Nsg14
Nsg15
VFALSE
p22346
sbNNNNNNNg8
(g9
g10
NtRp22347
(dp22348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22349
(dp22350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22351
(dp22352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de037l_mainz_2008-2009
p22353
sbNg8
(g9
g10
NtRp22354
(dp22355
g13
Nsg14
Nsg15
Vobsolete
p22356
sbtp22357
a(g8
(g9
g10
NtRp22358
(dp22359
g13
Nsg14
Nsg15
V6a95fc65-777f-46ad-b050-d4d0f9099f73
p22360
sbNg8
(g9
g10
NtRp22361
(dp22362
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Coventry
p22363
sbNNNNNg8
(g9
g10
NtRp22364
(dp22365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22366
sbg8
(g23
g10
NtRp22367
(dp22368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22369
sbNg8
(g9
g10
NtRp22370
(dp22371
g13
Nsg14
Nsg15
VFALSE
p22372
sbNNNg8
(g9
g10
NtRp22373
(dp22374
g13
Nsg14
Nsg15
VFALSE
p22375
sbNNg8
(g9
g10
NtRp22376
(dp22377
g13
Nsg14
Nsg15
VFALSE
p22378
sbNNg8
(g9
g10
NtRp22379
(dp22380
g13
Nsg14
Nsg15
VFALSE
p22381
sbNg8
(g9
g10
NtRp22382
(dp22383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6a95fc65-777f-46ad-b050-d4d0f9099f73.png
p22384
sbNg8
(g9
g10
NtRp22385
(dp22386
g13
Nsg14
Nsg15
V2019-06-04
p22387
sbNNg8
(g9
g10
NtRp22388
(dp22389
g13
Nsg14
Nsg15
Vland use|urban area
p22390
sbg8
(g9
g10
NtRp22391
(dp22392
g13
Nsg14
Nsg15
Vvector
p22393
sbg8
(g9
g10
NtRp22394
(dp22395
g13
Nsg14
Nsg15
VSHP
p22396
sbNg8
(g9
g10
NtRp22397
(dp22398
g13
Nsg14
Nsg15
V1:10000
p22399
sbNg8
(g9
g10
NtRp22400
(dp22401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50292431003051100482B7 (PS) (Date: 2010/03/05)
p22402
sbg8
(g9
g10
NtRp22403
(dp22404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6a95fc65-777f-46ad-b050-d4d0f9099f73
p22405
sbg8
(g9
g10
NtRp22406
(dp22407
g13
Nsg14
g74
sg15
V2010
p22408
sbg8
(g9
g10
NtRp22409
(dp22410
g13
Nsg14
g74
sg15
V2010
p22411
sbg8
(g9
g10
NtRp22412
(dp22413
g13
Nsg14
Nsg15
VFALSE
p22414
sbg8
(g9
g10
NtRp22415
(dp22416
g13
Nsg14
Nsg15
VCoventry|Land use|United Kingdom
p22417
sbg8
(g9
g10
NtRp22418
(dp22419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22420
sbg8
(g9
g10
NtRp22421
(dp22422
g13
Nsg14
Nsg15
VFALSE
p22423
sbNg8
(g9
g10
NtRp22424
(dp22425
g13
Nsg14
Nsg15
VFALSE
p22426
sbNNNNNNNg8
(g9
g10
NtRp22427
(dp22428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22429
(dp22430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22431
(dp22432
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk025l_coventry_2010
p22433
sbNg8
(g9
g10
NtRp22434
(dp22435
g13
Nsg14
Nsg15
Vobsolete
p22436
sbtp22437
a(g8
(g9
g10
NtRp22438
(dp22439
g13
Nsg14
Nsg15
V82deee11-3487-4238-834f-612714494ac5
p22440
sbNg8
(g9
g10
NtRp22441
(dp22442
g13
Nsg14
Nsg15
VUrban Atlas - Finland - Tampere
p22443
sbNNNNNg8
(g9
g10
NtRp22444
(dp22445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22446
sbg8
(g23
g10
NtRp22447
(dp22448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22449
sbNg8
(g9
g10
NtRp22450
(dp22451
g13
Nsg14
Nsg15
VFALSE
p22452
sbNNNg8
(g9
g10
NtRp22453
(dp22454
g13
Nsg14
Nsg15
VFALSE
p22455
sbNNg8
(g9
g10
NtRp22456
(dp22457
g13
Nsg14
Nsg15
VFALSE
p22458
sbNNg8
(g9
g10
NtRp22459
(dp22460
g13
Nsg14
Nsg15
VFALSE
p22461
sbNg8
(g9
g10
NtRp22462
(dp22463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/82deee11-3487-4238-834f-612714494ac5.png
p22464
sbNg8
(g9
g10
NtRp22465
(dp22466
g13
Nsg14
Nsg15
V2019-06-04
p22467
sbNNg8
(g9
g10
NtRp22468
(dp22469
g13
Nsg14
Nsg15
Vland use|urban area
p22470
sbg8
(g9
g10
NtRp22471
(dp22472
g13
Nsg14
Nsg15
Vvector
p22473
sbg8
(g9
g10
NtRp22474
(dp22475
g13
Nsg14
Nsg15
VSHP
p22476
sbNg8
(g9
g10
NtRp22477
(dp22478
g13
Nsg14
Nsg15
V1:10000
p22479
sbNg8
(g9
g10
NtRp22480
(dp22481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - Spot50692230708060929271A0 (PS) (Date: 2007/08/06) \u000a                      * Spot 5 2,50 m - Spot50692240608051011171A0 (PS) (Date: 2006/08/05) \u000a                      * Spot 5 2,50 m - Spot50702240510080959451A0 (PS) (Date: 2005/10/08)
p22482
sbg8
(g9
g10
NtRp22483
(dp22484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82deee11-3487-4238-834f-612714494ac5
p22485
sbg8
(g9
g10
NtRp22486
(dp22487
g13
Nsg14
g74
sg15
V2005
p22488
sbg8
(g9
g10
NtRp22489
(dp22490
g13
Nsg14
g74
sg15
V2007
p22491
sbg8
(g9
g10
NtRp22492
(dp22493
g13
Nsg14
Nsg15
VTRUE
p22494
sbg8
(g9
g10
NtRp22495
(dp22496
g13
Nsg14
Nsg15
VFinland|Land use|Tampere
p22497
sbg8
(g9
g10
NtRp22498
(dp22499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22500
sbg8
(g9
g10
NtRp22501
(dp22502
g13
Nsg14
Nsg15
VFALSE
p22503
sbNg8
(g9
g10
NtRp22504
(dp22505
g13
Nsg14
Nsg15
VFALSE
p22506
sbNNNNNNNg8
(g9
g10
NtRp22507
(dp22508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22509
(dp22510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22511
(dp22512
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-fi002l_tampere_2005-2007
p22513
sbNg8
(g9
g10
NtRp22514
(dp22515
g13
Nsg14
Nsg15
Vobsolete
p22516
sbtp22517
a(g8
(g9
g10
NtRp22518
(dp22519
g13
Nsg14
Nsg15
V296b2f0e-815d-4b28-9908-5ee778fb2c2f
p22520
sbNg8
(g9
g10
NtRp22521
(dp22522
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Zielona Góra
p22523
sbNNNNNg8
(g9
g10
NtRp22524
(dp22525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22526
sbg8
(g23
g10
NtRp22527
(dp22528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22529
sbNg8
(g9
g10
NtRp22530
(dp22531
g13
Nsg14
Nsg15
VFALSE
p22532
sbNNNg8
(g9
g10
NtRp22533
(dp22534
g13
Nsg14
Nsg15
VFALSE
p22535
sbNNg8
(g9
g10
NtRp22536
(dp22537
g13
Nsg14
Nsg15
VFALSE
p22538
sbNNg8
(g9
g10
NtRp22539
(dp22540
g13
Nsg14
Nsg15
VFALSE
p22541
sbNg8
(g9
g10
NtRp22542
(dp22543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/296b2f0e-815d-4b28-9908-5ee778fb2c2f.png
p22544
sbNg8
(g9
g10
NtRp22545
(dp22546
g13
Nsg14
Nsg15
V2019-06-04
p22547
sbNNg8
(g9
g10
NtRp22548
(dp22549
g13
Nsg14
Nsg15
Vland use|urban area
p22550
sbg8
(g9
g10
NtRp22551
(dp22552
g13
Nsg14
Nsg15
Vvector
p22553
sbg8
(g9
g10
NtRp22554
(dp22555
g13
Nsg14
Nsg15
VSHP
p22556
sbNg8
(g9
g10
NtRp22557
(dp22558
g13
Nsg14
Nsg15
V1:10000
p22559
sbNg8
(g9
g10
NtRp22560
(dp22561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652440708191022192B1 (PS) (Date: 2007/08/19) \u000a                      * Spot 5 2,50 m - 50652450609101022002B0 (PS) (Date: 2006/09/10)
p22562
sbg8
(g9
g10
NtRp22563
(dp22564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/296b2f0e-815d-4b28-9908-5ee778fb2c2f
p22565
sbg8
(g9
g10
NtRp22566
(dp22567
g13
Nsg14
g74
sg15
V2006
p22568
sbg8
(g9
g10
NtRp22569
(dp22570
g13
Nsg14
g74
sg15
V2007
p22571
sbg8
(g9
g10
NtRp22572
(dp22573
g13
Nsg14
Nsg15
VTRUE
p22574
sbg8
(g9
g10
NtRp22575
(dp22576
g13
Nsg14
Nsg15
VLand use|Poland|Zielona Góra
p22577
sbg8
(g9
g10
NtRp22578
(dp22579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22580
sbg8
(g9
g10
NtRp22581
(dp22582
g13
Nsg14
Nsg15
VFALSE
p22583
sbNg8
(g9
g10
NtRp22584
(dp22585
g13
Nsg14
Nsg15
VFALSE
p22586
sbNNNNNNNg8
(g9
g10
NtRp22587
(dp22588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22589
(dp22590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22591
(dp22592
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl018l_zielona_gora_2006-2007
p22593
sbNg8
(g9
g10
NtRp22594
(dp22595
g13
Nsg14
Nsg15
Vobsolete
p22596
sbtp22597
a(g8
(g9
g10
NtRp22598
(dp22599
g13
Nsg14
Nsg15
Va1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0
p22600
sbNg8
(g9
g10
NtRp22601
(dp22602
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Sheffield
p22603
sbNNNNNg8
(g9
g10
NtRp22604
(dp22605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22606
sbg8
(g23
g10
NtRp22607
(dp22608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22609
sbNg8
(g9
g10
NtRp22610
(dp22611
g13
Nsg14
Nsg15
VFALSE
p22612
sbNNNg8
(g9
g10
NtRp22613
(dp22614
g13
Nsg14
Nsg15
VFALSE
p22615
sbNNg8
(g9
g10
NtRp22616
(dp22617
g13
Nsg14
Nsg15
VFALSE
p22618
sbNNg8
(g9
g10
NtRp22619
(dp22620
g13
Nsg14
Nsg15
VFALSE
p22621
sbNg8
(g9
g10
NtRp22622
(dp22623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0.png
p22624
sbNg8
(g9
g10
NtRp22625
(dp22626
g13
Nsg14
Nsg15
V2019-06-04
p22627
sbNNg8
(g9
g10
NtRp22628
(dp22629
g13
Nsg14
Nsg15
Vland use|urban area
p22630
sbg8
(g9
g10
NtRp22631
(dp22632
g13
Nsg14
Nsg15
Vvector
p22633
sbg8
(g9
g10
NtRp22634
(dp22635
g13
Nsg14
Nsg15
VSHP
p22636
sbNg8
(g9
g10
NtRp22637
(dp22638
g13
Nsg14
Nsg15
V1:10000
p22639
sbNg8
(g9
g10
NtRp22640
(dp22641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - SHEF_1_50262410605041143011 (PS) (Date: 2006/05/04) \u000a                      * Spot 5 2,50 m - SHEF_2_50292410805071121441 (PS) (Date: 2008/05/07)
p22642
sbg8
(g9
g10
NtRp22643
(dp22644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0
p22645
sbg8
(g9
g10
NtRp22646
(dp22647
g13
Nsg14
g74
sg15
V2006
p22648
sbg8
(g9
g10
NtRp22649
(dp22650
g13
Nsg14
g74
sg15
V2008
p22651
sbg8
(g9
g10
NtRp22652
(dp22653
g13
Nsg14
Nsg15
VTRUE
p22654
sbg8
(g9
g10
NtRp22655
(dp22656
g13
Nsg14
Nsg15
VLand use|Sheffield|United Kingdom
p22657
sbg8
(g9
g10
NtRp22658
(dp22659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22660
sbg8
(g9
g10
NtRp22661
(dp22662
g13
Nsg14
Nsg15
VFALSE
p22663
sbNg8
(g9
g10
NtRp22664
(dp22665
g13
Nsg14
Nsg15
VFALSE
p22666
sbNNNNNNNg8
(g9
g10
NtRp22667
(dp22668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22669
(dp22670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22671
(dp22672
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk010l_sheffield_2006-2008
p22673
sbNg8
(g9
g10
NtRp22674
(dp22675
g13
Nsg14
Nsg15
Vobsolete
p22676
sbtp22677
a(g8
(g9
g10
NtRp22678
(dp22679
g13
Nsg14
Nsg15
Vceb05aa0-88ca-4021-9f3d-3c2d8f32f399
p22680
sbNg8
(g9
g10
NtRp22681
(dp22682
g13
Nsg14
Nsg15
VUrban Atlas - Italy - L'Aquila
p22683
sbNNNNNg8
(g9
g10
NtRp22684
(dp22685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22686
sbg8
(g23
g10
NtRp22687
(dp22688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22689
sbNg8
(g9
g10
NtRp22690
(dp22691
g13
Nsg14
Nsg15
VFALSE
p22692
sbNNNg8
(g9
g10
NtRp22693
(dp22694
g13
Nsg14
Nsg15
VFALSE
p22695
sbNNg8
(g9
g10
NtRp22696
(dp22697
g13
Nsg14
Nsg15
VFALSE
p22698
sbNNg8
(g9
g10
NtRp22699
(dp22700
g13
Nsg14
Nsg15
VFALSE
p22701
sbNg8
(g9
g10
NtRp22702
(dp22703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ceb05aa0-88ca-4021-9f3d-3c2d8f32f399.png
p22704
sbNg8
(g9
g10
NtRp22705
(dp22706
g13
Nsg14
Nsg15
V2019-06-04
p22707
sbNNg8
(g9
g10
NtRp22708
(dp22709
g13
Nsg14
Nsg15
Vland use|urban area
p22710
sbg8
(g9
g10
NtRp22711
(dp22712
g13
Nsg14
Nsg15
Vvector
p22713
sbg8
(g9
g10
NtRp22714
(dp22715
g13
Nsg14
Nsg15
VSHP
p22716
sbNg8
(g9
g10
NtRp22717
(dp22718
g13
Nsg14
Nsg15
V1:10000
p22719
sbNg8
(g9
g10
NtRp22720
(dp22721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50672640609220953452B3 (PS) (Date: 2006/09/22) \u000a                      * Spot 5 2,50 m - 50672650610180953532B0 (PS) (Date: 2006/10/18) \u000a                      * Spot 5 2,50 m - 50682650607211005182B0 (PS) (Date: 2006/07/21)
p22722
sbg8
(g9
g10
NtRp22723
(dp22724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ceb05aa0-88ca-4021-9f3d-3c2d8f32f399
p22725
sbg8
(g9
g10
NtRp22726
(dp22727
g13
Nsg14
g74
sg15
V2006
p22728
sbg8
(g9
g10
NtRp22729
(dp22730
g13
Nsg14
g74
sg15
V2006
p22731
sbg8
(g9
g10
NtRp22732
(dp22733
g13
Nsg14
Nsg15
VFALSE
p22734
sbg8
(g9
g10
NtRp22735
(dp22736
g13
Nsg14
Nsg15
VItaly|L'Aquila|Land use
p22737
sbg8
(g9
g10
NtRp22738
(dp22739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22740
sbg8
(g9
g10
NtRp22741
(dp22742
g13
Nsg14
Nsg15
VFALSE
p22743
sbNg8
(g9
g10
NtRp22744
(dp22745
g13
Nsg14
Nsg15
VFALSE
p22746
sbNNNNNNNg8
(g9
g10
NtRp22747
(dp22748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22749
(dp22750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22751
(dp22752
g13
Nsg14
Nsg15
Vregio_v_32633_50_k_urban-atlas-it018l_l_aquila_2006
p22753
sbNg8
(g9
g10
NtRp22754
(dp22755
g13
Nsg14
Nsg15
Vobsolete
p22756
sbtp22757
a(g8
(g9
g10
NtRp22758
(dp22759
g13
Nsg14
Nsg15
V8b841522-ee54-4a58-b91e-0012883f6264
p22760
sbNg8
(g9
g10
NtRp22761
(dp22762
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Bristol
p22763
sbNNNNNg8
(g9
g10
NtRp22764
(dp22765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22766
sbg8
(g23
g10
NtRp22767
(dp22768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22769
sbNg8
(g9
g10
NtRp22770
(dp22771
g13
Nsg14
Nsg15
VFALSE
p22772
sbNNNg8
(g9
g10
NtRp22773
(dp22774
g13
Nsg14
Nsg15
VFALSE
p22775
sbNNg8
(g9
g10
NtRp22776
(dp22777
g13
Nsg14
Nsg15
VFALSE
p22778
sbNNg8
(g9
g10
NtRp22779
(dp22780
g13
Nsg14
Nsg15
VFALSE
p22781
sbNg8
(g9
g10
NtRp22782
(dp22783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b841522-ee54-4a58-b91e-0012883f6264.png
p22784
sbNg8
(g9
g10
NtRp22785
(dp22786
g13
Nsg14
Nsg15
V2019-06-04
p22787
sbNNg8
(g9
g10
NtRp22788
(dp22789
g13
Nsg14
Nsg15
Vland use|urban area
p22790
sbg8
(g9
g10
NtRp22791
(dp22792
g13
Nsg14
Nsg15
Vvector
p22793
sbg8
(g9
g10
NtRp22794
(dp22795
g13
Nsg14
Nsg15
VSHP
p22796
sbNg8
(g9
g10
NtRp22797
(dp22798
g13
Nsg14
Nsg15
V1:10000
p22799
sbNg8
(g9
g10
NtRp22800
(dp22801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - BRIS_1-50272460608061136112 (PS) (Date: 2006/11/03) \u000a                      * Spot 5 2,50 m - BRIS_2_50272460608061136112 (PS) (Date: 2006/08/06) \u000a                      * Spot 5 2,50 m - BRIS_3_50292450506071111011 (PS) (Date: 2005/06/07) \u000a                      * ALOS 10 m - AL_AV2_X_20080401_111745_DLR_11646_PRUTM (XS) (Date: 2008/04/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20071103_112346_DLR_9458_PRUTM (P) (Date: 2007/11/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112253_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112257_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20100523_112045_DLR_23053_PRUTM (P) (Date: 2010/05/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20100523_112049_DLR_23053_PRUTM (P) (Date: 2010/05/23) \u000a                      * RapidEye 5 m - 2009-04-19T115104_RE4_3A-NAC_6222218_110502 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115104_RE4_3A-NAC_6222215_110502 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115105_RE4_3A-NAC_6222312_110502 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115108_RE4_3A-NAC_6222311_110502 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115108_RE4_3A-NAC_6222217_110502 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-09-10T115444_RE5_3A-NAC_6222214_110502 (XS) (Date: 2009/09/10) \u000a                      * RapidEye 5 m - 2009-09-10T115448_RE5_3A-NAC_6222212_110502 (XS) (Date: 2009/09/10) \u000a                      * RapidEye 5 m - 2009-09-10T115448_RE5_3A-NAC_6222213_110502 (XS) (Date: 2009/09/10) \u000a                      * RapidEye 5 m - 2009-10-12T120546_RE3_3A-NAC_6230249_110502 (XS) (Date: 2009/10/12) \u000a                      * RapidEye 5 m - 2009-10-12T120546_RE3_3A-NAC_6230250_110502 (XS) (Date: 2009/10/12) \u000a                      * RapidEye 5 m - 2010-04-17T120959_RE4_3A-NAC_6305091_111031 (XS) (Date: 2010/04/17) \u000a                      * RapidEye 5 m - 2010-05-22T122450_RE5_3A-NAC_6222638_110502 (XS) (Date: 2010/05/22) \u000a                      * RapidEye 5 m - 2010-05-22T122451_RE5_3A-NAC_6300646_111032 (XS) (Date: 2010/05/22) \u000a                      * RapidEye 5 m - 2010-05-22T122453_RE5_3A-NAC_6305608_111031 (XS) (Date: 2010/05/22) \u000a                      * RapidEye 5 m - 2010-06-03T121636_RE3_3A-NAC_6222216_110502 (XS) (Date: 2010/06/03)
p22802
sbg8
(g9
g10
NtRp22803
(dp22804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b841522-ee54-4a58-b91e-0012883f6264
p22805
sbg8
(g9
g10
NtRp22806
(dp22807
g13
Nsg14
g74
sg15
V2005
p22808
sbg8
(g9
g10
NtRp22809
(dp22810
g13
Nsg14
g74
sg15
V2010
p22811
sbg8
(g9
g10
NtRp22812
(dp22813
g13
Nsg14
Nsg15
VTRUE
p22814
sbg8
(g9
g10
NtRp22815
(dp22816
g13
Nsg14
Nsg15
VBristol|Land use|United Kingdom
p22817
sbg8
(g9
g10
NtRp22818
(dp22819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22820
sbg8
(g9
g10
NtRp22821
(dp22822
g13
Nsg14
Nsg15
VFALSE
p22823
sbNg8
(g9
g10
NtRp22824
(dp22825
g13
Nsg14
Nsg15
VFALSE
p22826
sbNNNNNNNg8
(g9
g10
NtRp22827
(dp22828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22829
(dp22830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22831
(dp22832
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk011l_bristol_2005-2010
p22833
sbNg8
(g9
g10
NtRp22834
(dp22835
g13
Nsg14
Nsg15
Vobsolete
p22836
sbtp22837
a(g8
(g9
g10
NtRp22838
(dp22839
g13
Nsg14
Nsg15
V82c9e1c6-7e62-43b6-94fd-c8e0db639450
p22840
sbNg8
(g9
g10
NtRp22841
(dp22842
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Modena
p22843
sbNNNNNg8
(g9
g10
NtRp22844
(dp22845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22846
sbg8
(g23
g10
NtRp22847
(dp22848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22849
sbNg8
(g9
g10
NtRp22850
(dp22851
g13
Nsg14
Nsg15
VFALSE
p22852
sbNNNg8
(g9
g10
NtRp22853
(dp22854
g13
Nsg14
Nsg15
VFALSE
p22855
sbNNg8
(g9
g10
NtRp22856
(dp22857
g13
Nsg14
Nsg15
VFALSE
p22858
sbNNg8
(g9
g10
NtRp22859
(dp22860
g13
Nsg14
Nsg15
VFALSE
p22861
sbNg8
(g9
g10
NtRp22862
(dp22863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/82c9e1c6-7e62-43b6-94fd-c8e0db639450.png
p22864
sbNg8
(g9
g10
NtRp22865
(dp22866
g13
Nsg14
Nsg15
V2019-06-04
p22867
sbNNg8
(g9
g10
NtRp22868
(dp22869
g13
Nsg14
Nsg15
Vland use|urban area
p22870
sbg8
(g9
g10
NtRp22871
(dp22872
g13
Nsg14
Nsg15
Vvector
p22873
sbg8
(g9
g10
NtRp22874
(dp22875
g13
Nsg14
Nsg15
VSHP
p22876
sbNg8
(g9
g10
NtRp22877
(dp22878
g13
Nsg14
Nsg15
V1:10000
p22879
sbNg8
(g9
g10
NtRp22880
(dp22881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - 50612600506101014292J0 (XS) (Date: 2005/06/10) \u000a                      * ALOS 2,50 m - 50612600606141016191J9 (XS) (Date: 2006/06/14) \u000a                      * ALOS 2,50 m - 50612600506101014272B0 (P) (Date: 2005/06/10)
p22882
sbg8
(g9
g10
NtRp22883
(dp22884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82c9e1c6-7e62-43b6-94fd-c8e0db639450
p22885
sbg8
(g9
g10
NtRp22886
(dp22887
g13
Nsg14
g74
sg15
V2005
p22888
sbg8
(g9
g10
NtRp22889
(dp22890
g13
Nsg14
g74
sg15
V2006
p22891
sbg8
(g9
g10
NtRp22892
(dp22893
g13
Nsg14
Nsg15
VTRUE
p22894
sbg8
(g9
g10
NtRp22895
(dp22896
g13
Nsg14
Nsg15
VItaly|Land use|Modena
p22897
sbg8
(g9
g10
NtRp22898
(dp22899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22900
sbg8
(g9
g10
NtRp22901
(dp22902
g13
Nsg14
Nsg15
VFALSE
p22903
sbNg8
(g9
g10
NtRp22904
(dp22905
g13
Nsg14
Nsg15
VFALSE
p22906
sbNNNNNNNg8
(g9
g10
NtRp22907
(dp22908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22909
(dp22910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22911
(dp22912
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it030l_modena_2005-2006
p22913
sbNg8
(g9
g10
NtRp22914
(dp22915
g13
Nsg14
Nsg15
Vobsolete
p22916
sbtp22917
a(g8
(g9
g10
NtRp22918
(dp22919
g13
Nsg14
Nsg15
V31ea08e2-df03-4ae1-a391-5fb185f67431
p22920
sbNg8
(g9
g10
NtRp22921
(dp22922
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Augsburg
p22923
sbNNNNNg8
(g9
g10
NtRp22924
(dp22925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p22926
sbg8
(g23
g10
NtRp22927
(dp22928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p22929
sbNg8
(g9
g10
NtRp22930
(dp22931
g13
Nsg14
Nsg15
VFALSE
p22932
sbNNNg8
(g9
g10
NtRp22933
(dp22934
g13
Nsg14
Nsg15
VFALSE
p22935
sbNNg8
(g9
g10
NtRp22936
(dp22937
g13
Nsg14
Nsg15
VFALSE
p22938
sbNNg8
(g9
g10
NtRp22939
(dp22940
g13
Nsg14
Nsg15
VFALSE
p22941
sbNg8
(g9
g10
NtRp22942
(dp22943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/31ea08e2-df03-4ae1-a391-5fb185f67431.png
p22944
sbNg8
(g9
g10
NtRp22945
(dp22946
g13
Nsg14
Nsg15
V2019-06-04
p22947
sbNNg8
(g9
g10
NtRp22948
(dp22949
g13
Nsg14
Nsg15
Vland use|urban area
p22950
sbg8
(g9
g10
NtRp22951
(dp22952
g13
Nsg14
Nsg15
Vvector
p22953
sbg8
(g9
g10
NtRp22954
(dp22955
g13
Nsg14
Nsg15
VSHP
p22956
sbNg8
(g9
g10
NtRp22957
(dp22958
g13
Nsg14
Nsg15
V1:10000
p22959
sbNg8
(g9
g10
NtRp22960
(dp22961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572520510131007362B0 (PS) (Date: 2005/10/13) \u000a                      * Spot 5 2,50 m - 50572530510131007442B0 (PS) (Date: 2005/10/13) \u000a                      * Spot 5 2,50 m - 50592520507171001102B0 (PS) (Date: 2005/07/17) \u000a                      * RapidEye 5 m - 2009-04-19T105605_RE2_3A-NAC_5837565_107087 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-05-20T110409_RE4_3A-NAC_5837563_107087 (XS) (Date: 2009/05/20) \u000a                      * RapidEye 5 m - 2009-05-23T110931_RE2_3A-NAC_5837557_107087 (XS) (Date: 2009/05/23) \u000a                      * RapidEye 5 m - 2009-05-23T110935_RE2_3A-NAC_5837560_107087 (XS) (Date: 2009/05/23) \u000a                      * RapidEye 5 m - 2009-05-23T110935_RE2_3A-NAC_5837559_107087 (XS) (Date: 2009/05/23) \u000a                      * RapidEye 5 m - 2009-05-23T110939_RE2_3A-NAC_5837558_107087 (XS) (Date: 2009/05/23) \u000a                      * RapidEye 5 m - 2009-07-23T110951_RE1_3A-NAC_5837562_107087 (XS) (Date: 2009/07/23) \u000a                      * RapidEye 5 m - 2009-07-27T105430_RE1_3A-NAC_5837501_107087 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-08-27T110512_RE2_3A-NAC_5837561_107087 (XS) (Date: 2009/08/27)
p22962
sbg8
(g9
g10
NtRp22963
(dp22964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31ea08e2-df03-4ae1-a391-5fb185f67431
p22965
sbg8
(g9
g10
NtRp22966
(dp22967
g13
Nsg14
g74
sg15
V2005
p22968
sbg8
(g9
g10
NtRp22969
(dp22970
g13
Nsg14
g74
sg15
V2009
p22971
sbg8
(g9
g10
NtRp22972
(dp22973
g13
Nsg14
Nsg15
VTRUE
p22974
sbg8
(g9
g10
NtRp22975
(dp22976
g13
Nsg14
Nsg15
VAugsburg|Germany|Land use
p22977
sbg8
(g9
g10
NtRp22978
(dp22979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p22980
sbg8
(g9
g10
NtRp22981
(dp22982
g13
Nsg14
Nsg15
VFALSE
p22983
sbNg8
(g9
g10
NtRp22984
(dp22985
g13
Nsg14
Nsg15
VFALSE
p22986
sbNNNNNNNg8
(g9
g10
NtRp22987
(dp22988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp22989
(dp22990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp22991
(dp22992
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de033l_augsburg_2005-2009
p22993
sbNg8
(g9
g10
NtRp22994
(dp22995
g13
Nsg14
Nsg15
Vobsolete
p22996
sbtp22997
a(g8
(g9
g10
NtRp22998
(dp22999
g13
Nsg14
Nsg15
Vbd23a7d4-ce08-412d-94eb-ad50261621ca
p23000
sbNg8
(g9
g10
NtRp23001
(dp23002
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Wrexham
p23003
sbNNNNNg8
(g9
g10
NtRp23004
(dp23005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23006
sbg8
(g23
g10
NtRp23007
(dp23008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23009
sbNg8
(g9
g10
NtRp23010
(dp23011
g13
Nsg14
Nsg15
VFALSE
p23012
sbNNNg8
(g9
g10
NtRp23013
(dp23014
g13
Nsg14
Nsg15
VFALSE
p23015
sbNNg8
(g9
g10
NtRp23016
(dp23017
g13
Nsg14
Nsg15
VFALSE
p23018
sbNNg8
(g9
g10
NtRp23019
(dp23020
g13
Nsg14
Nsg15
VFALSE
p23021
sbNg8
(g9
g10
NtRp23022
(dp23023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd23a7d4-ce08-412d-94eb-ad50261621ca.png
p23024
sbNg8
(g9
g10
NtRp23025
(dp23026
g13
Nsg14
Nsg15
V2019-06-04
p23027
sbNNg8
(g9
g10
NtRp23028
(dp23029
g13
Nsg14
Nsg15
Vland use|urban area
p23030
sbg8
(g9
g10
NtRp23031
(dp23032
g13
Nsg14
Nsg15
Vvector
p23033
sbg8
(g9
g10
NtRp23034
(dp23035
g13
Nsg14
Nsg15
VSHP
p23036
sbNg8
(g9
g10
NtRp23037
(dp23038
g13
Nsg14
Nsg15
V1:10000
p23039
sbNg8
(g9
g10
NtRp23040
(dp23041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50252421004131151112B3 (PS) (Date: 2010/04/13)
p23042
sbg8
(g9
g10
NtRp23043
(dp23044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd23a7d4-ce08-412d-94eb-ad50261621ca
p23045
sbg8
(g9
g10
NtRp23046
(dp23047
g13
Nsg14
g74
sg15
V2010
p23048
sbg8
(g9
g10
NtRp23049
(dp23050
g13
Nsg14
g74
sg15
V2010
p23051
sbg8
(g9
g10
NtRp23052
(dp23053
g13
Nsg14
Nsg15
VFALSE
p23054
sbg8
(g9
g10
NtRp23055
(dp23056
g13
Nsg14
Nsg15
VLand use|United Kingdom|Wrexham
p23057
sbg8
(g9
g10
NtRp23058
(dp23059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23060
sbg8
(g9
g10
NtRp23061
(dp23062
g13
Nsg14
Nsg15
VFALSE
p23063
sbNg8
(g9
g10
NtRp23064
(dp23065
g13
Nsg14
Nsg15
VFALSE
p23066
sbNNNNNNNg8
(g9
g10
NtRp23067
(dp23068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23069
(dp23070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23071
(dp23072
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk022l_wrexham_2010
p23073
sbNg8
(g9
g10
NtRp23074
(dp23075
g13
Nsg14
Nsg15
Vobsolete
p23076
sbtp23077
a(g8
(g9
g10
NtRp23078
(dp23079
g13
Nsg14
Nsg15
Vecb7d0d2-7b13-42d1-8721-717cde9f9a4a
p23080
sbNg8
(g9
g10
NtRp23081
(dp23082
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Hradec Králové
p23083
sbNNNNNg8
(g9
g10
NtRp23084
(dp23085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23086
sbg8
(g23
g10
NtRp23087
(dp23088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23089
sbNg8
(g9
g10
NtRp23090
(dp23091
g13
Nsg14
Nsg15
VFALSE
p23092
sbNNNg8
(g9
g10
NtRp23093
(dp23094
g13
Nsg14
Nsg15
VFALSE
p23095
sbNNg8
(g9
g10
NtRp23096
(dp23097
g13
Nsg14
Nsg15
VFALSE
p23098
sbNNg8
(g9
g10
NtRp23099
(dp23100
g13
Nsg14
Nsg15
VFALSE
p23101
sbNg8
(g9
g10
NtRp23102
(dp23103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ecb7d0d2-7b13-42d1-8721-717cde9f9a4a.png
p23104
sbNg8
(g9
g10
NtRp23105
(dp23106
g13
Nsg14
Nsg15
V2019-06-04
p23107
sbNNg8
(g9
g10
NtRp23108
(dp23109
g13
Nsg14
Nsg15
Vland use|urban area
p23110
sbg8
(g9
g10
NtRp23111
(dp23112
g13
Nsg14
Nsg15
Vvector
p23113
sbg8
(g9
g10
NtRp23114
(dp23115
g13
Nsg14
Nsg15
VSHP
p23116
sbNg8
(g9
g10
NtRp23117
(dp23118
g13
Nsg14
Nsg15
V1:10000
p23119
sbNg8
(g9
g10
NtRp23120
(dp23121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652480609101022231B3 (PS) (Date: 2006/09/10) \u000a                      * Spot 5 2,50 m - 50662480708191022481B0 (PS) (Date: 2007/08/19)
p23122
sbg8
(g9
g10
NtRp23123
(dp23124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ecb7d0d2-7b13-42d1-8721-717cde9f9a4a
p23125
sbg8
(g9
g10
NtRp23126
(dp23127
g13
Nsg14
g74
sg15
V2006
p23128
sbg8
(g9
g10
NtRp23129
(dp23130
g13
Nsg14
g74
sg15
V2007
p23131
sbg8
(g9
g10
NtRp23132
(dp23133
g13
Nsg14
Nsg15
VTRUE
p23134
sbg8
(g9
g10
NtRp23135
(dp23136
g13
Nsg14
Nsg15
VCzechia|Hradec Králové|Land use
p23137
sbg8
(g9
g10
NtRp23138
(dp23139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23140
sbg8
(g9
g10
NtRp23141
(dp23142
g13
Nsg14
Nsg15
VFALSE
p23143
sbNg8
(g9
g10
NtRp23144
(dp23145
g13
Nsg14
Nsg15
VFALSE
p23146
sbNNNNNNNg8
(g9
g10
NtRp23147
(dp23148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23149
(dp23150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23151
(dp23152
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz009l_hradec_kralove_2006-2007
p23153
sbNg8
(g9
g10
NtRp23154
(dp23155
g13
Nsg14
Nsg15
Vobsolete
p23156
sbtp23157
a(g8
(g9
g10
NtRp23158
(dp23159
g13
Nsg14
Nsg15
V88dcd632-e9ae-40a6-9279-2f535812aa56
p23160
sbNg8
(g9
g10
NtRp23161
(dp23162
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Cologne (Köln)
p23163
sbNNNNNg8
(g9
g10
NtRp23164
(dp23165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23166
sbg8
(g23
g10
NtRp23167
(dp23168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23169
sbNg8
(g9
g10
NtRp23170
(dp23171
g13
Nsg14
Nsg15
VFALSE
p23172
sbNNNg8
(g9
g10
NtRp23173
(dp23174
g13
Nsg14
Nsg15
VFALSE
p23175
sbNNg8
(g9
g10
NtRp23176
(dp23177
g13
Nsg14
Nsg15
VFALSE
p23178
sbNNg8
(g9
g10
NtRp23179
(dp23180
g13
Nsg14
Nsg15
VFALSE
p23181
sbNg8
(g9
g10
NtRp23182
(dp23183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/88dcd632-e9ae-40a6-9279-2f535812aa56.png
p23184
sbNg8
(g9
g10
NtRp23185
(dp23186
g13
Nsg14
Nsg15
V2019-06-04
p23187
sbNNg8
(g9
g10
NtRp23188
(dp23189
g13
Nsg14
Nsg15
Vland use|urban area
p23190
sbg8
(g9
g10
NtRp23191
(dp23192
g13
Nsg14
Nsg15
Vvector
p23193
sbg8
(g9
g10
NtRp23194
(dp23195
g13
Nsg14
Nsg15
VSHP
p23196
sbNg8
(g9
g10
NtRp23197
(dp23198
g13
Nsg14
Nsg15
V1:10000
p23199
sbNg8
(g9
g10
NtRp23200
(dp23201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800014 (PS) (Date: 2006/07/14) \u000a                      * Spot 5 2,50 m - 00182800024 (PS) (Date: 2006/10/16)
p23202
sbg8
(g9
g10
NtRp23203
(dp23204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88dcd632-e9ae-40a6-9279-2f535812aa56
p23205
sbg8
(g9
g10
NtRp23206
(dp23207
g13
Nsg14
g74
sg15
V2006
p23208
sbg8
(g9
g10
NtRp23209
(dp23210
g13
Nsg14
g74
sg15
V2006
p23211
sbg8
(g9
g10
NtRp23212
(dp23213
g13
Nsg14
Nsg15
VFALSE
p23214
sbg8
(g9
g10
NtRp23215
(dp23216
g13
Nsg14
Nsg15
VCologne|Germany|Land use
p23217
sbg8
(g9
g10
NtRp23218
(dp23219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23220
sbg8
(g9
g10
NtRp23221
(dp23222
g13
Nsg14
Nsg15
VFALSE
p23223
sbNg8
(g9
g10
NtRp23224
(dp23225
g13
Nsg14
Nsg15
VFALSE
p23226
sbNNNNNNNg8
(g9
g10
NtRp23227
(dp23228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23229
(dp23230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23231
(dp23232
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de004l_koln_2006
p23233
sbNg8
(g9
g10
NtRp23234
(dp23235
g13
Nsg14
Nsg15
Vobsolete
p23236
sbtp23237
a(g8
(g9
g10
NtRp23238
(dp23239
g13
Nsg14
Nsg15
Vb5fae76c-f130-42de-8282-ec5aeda14835
p23240
sbNg8
(g9
g10
NtRp23241
(dp23242
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Brussels (Brussel)
p23243
sbNNNNNg8
(g9
g10
NtRp23244
(dp23245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23246
sbg8
(g23
g10
NtRp23247
(dp23248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23249
sbNg8
(g9
g10
NtRp23250
(dp23251
g13
Nsg14
Nsg15
VFALSE
p23252
sbNNNg8
(g9
g10
NtRp23253
(dp23254
g13
Nsg14
Nsg15
VFALSE
p23255
sbNNg8
(g9
g10
NtRp23256
(dp23257
g13
Nsg14
Nsg15
VFALSE
p23258
sbNNg8
(g9
g10
NtRp23259
(dp23260
g13
Nsg14
Nsg15
VFALSE
p23261
sbNg8
(g9
g10
NtRp23262
(dp23263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b5fae76c-f130-42de-8282-ec5aeda14835.png
p23264
sbNg8
(g9
g10
NtRp23265
(dp23266
g13
Nsg14
Nsg15
V2019-06-04
p23267
sbNNg8
(g9
g10
NtRp23268
(dp23269
g13
Nsg14
Nsg15
Vland use|urban area
p23270
sbg8
(g9
g10
NtRp23271
(dp23272
g13
Nsg14
Nsg15
Vvector
p23273
sbg8
(g9
g10
NtRp23274
(dp23275
g13
Nsg14
Nsg15
VSHP
p23276
sbNg8
(g9
g10
NtRp23277
(dp23278
g13
Nsg14
Nsg15
V1:10000
p23279
sbNg8
(g9
g10
NtRp23280
(dp23281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800006 (PS) (Date: 2005/10/10) \u000a                      * Spot 5 2,50 m - 00182800010 (PS) (Date: 2005/10/27)
p23282
sbg8
(g9
g10
NtRp23283
(dp23284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b5fae76c-f130-42de-8282-ec5aeda14835
p23285
sbg8
(g9
g10
NtRp23286
(dp23287
g13
Nsg14
g74
sg15
V2005
p23288
sbg8
(g9
g10
NtRp23289
(dp23290
g13
Nsg14
g74
sg15
V2005
p23291
sbg8
(g9
g10
NtRp23292
(dp23293
g13
Nsg14
Nsg15
VFALSE
p23294
sbg8
(g9
g10
NtRp23295
(dp23296
g13
Nsg14
Nsg15
VBelgium|Brussels|Land use
p23297
sbg8
(g9
g10
NtRp23298
(dp23299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23300
sbg8
(g9
g10
NtRp23301
(dp23302
g13
Nsg14
Nsg15
VFALSE
p23303
sbNg8
(g9
g10
NtRp23304
(dp23305
g13
Nsg14
Nsg15
VFALSE
p23306
sbNNNNNNNg8
(g9
g10
NtRp23307
(dp23308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23309
(dp23310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23311
(dp23312
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be001l_bruxelles_2005
p23313
sbNg8
(g9
g10
NtRp23314
(dp23315
g13
Nsg14
Nsg15
Vobsolete
p23316
sbtp23317
a(g8
(g9
g10
NtRp23318
(dp23319
g13
Nsg14
Nsg15
V2b502f58-806d-4b9b-b28f-628f2139c904
p23320
sbNg8
(g9
g10
NtRp23321
(dp23322
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Santiago de Compostela
p23323
sbNNNNNg8
(g9
g10
NtRp23324
(dp23325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23326
sbg8
(g23
g10
NtRp23327
(dp23328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23329
sbNg8
(g9
g10
NtRp23330
(dp23331
g13
Nsg14
Nsg15
VFALSE
p23332
sbNNNg8
(g9
g10
NtRp23333
(dp23334
g13
Nsg14
Nsg15
VFALSE
p23335
sbNNg8
(g9
g10
NtRp23336
(dp23337
g13
Nsg14
Nsg15
VFALSE
p23338
sbNNg8
(g9
g10
NtRp23339
(dp23340
g13
Nsg14
Nsg15
VFALSE
p23341
sbNg8
(g9
g10
NtRp23342
(dp23343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b502f58-806d-4b9b-b28f-628f2139c904.png
p23344
sbNg8
(g9
g10
NtRp23345
(dp23346
g13
Nsg14
Nsg15
V2019-06-04
p23347
sbNNg8
(g9
g10
NtRp23348
(dp23349
g13
Nsg14
Nsg15
Vland use|urban area
p23350
sbg8
(g9
g10
NtRp23351
(dp23352
g13
Nsg14
Nsg15
Vvector
p23353
sbg8
(g9
g10
NtRp23354
(dp23355
g13
Nsg14
Nsg15
VSHP
p23356
sbNg8
(g9
g10
NtRp23357
(dp23358
g13
Nsg14
Nsg15
V1:10000
p23359
sbNg8
(g9
g10
NtRp23360
(dp23361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50232630709201150061B7 (PS) (Date: 2007/09/20)
p23362
sbg8
(g9
g10
NtRp23363
(dp23364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b502f58-806d-4b9b-b28f-628f2139c904
p23365
sbg8
(g9
g10
NtRp23366
(dp23367
g13
Nsg14
g74
sg15
V2007
p23368
sbg8
(g9
g10
NtRp23369
(dp23370
g13
Nsg14
g74
sg15
V2007
p23371
sbg8
(g9
g10
NtRp23372
(dp23373
g13
Nsg14
Nsg15
VFALSE
p23374
sbg8
(g9
g10
NtRp23375
(dp23376
g13
Nsg14
Nsg15
VLand use|Santiago de Compostela|Spain
p23377
sbg8
(g9
g10
NtRp23378
(dp23379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23380
sbg8
(g9
g10
NtRp23381
(dp23382
g13
Nsg14
Nsg15
VFALSE
p23383
sbNg8
(g9
g10
NtRp23384
(dp23385
g13
Nsg14
Nsg15
VFALSE
p23386
sbNNNNNNNg8
(g9
g10
NtRp23387
(dp23388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23389
(dp23390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23391
(dp23392
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-es011l_santiago_de_compostela_2007
p23393
sbNg8
(g9
g10
NtRp23394
(dp23395
g13
Nsg14
Nsg15
Vobsolete
p23396
sbtp23397
a(g8
(g9
g10
NtRp23398
(dp23399
g13
Nsg14
Nsg15
Vbd8bda5c-a3ca-4f0b-ad55-fc8d777539f5
p23400
sbNg8
(g9
g10
NtRp23401
(dp23402
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Nyíregyháza
p23403
sbNNNNNg8
(g9
g10
NtRp23404
(dp23405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23406
sbg8
(g23
g10
NtRp23407
(dp23408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23409
sbNg8
(g9
g10
NtRp23410
(dp23411
g13
Nsg14
Nsg15
VFALSE
p23412
sbNNNg8
(g9
g10
NtRp23413
(dp23414
g13
Nsg14
Nsg15
VFALSE
p23415
sbNNg8
(g9
g10
NtRp23416
(dp23417
g13
Nsg14
Nsg15
VFALSE
p23418
sbNNg8
(g9
g10
NtRp23419
(dp23420
g13
Nsg14
Nsg15
VFALSE
p23421
sbNg8
(g9
g10
NtRp23422
(dp23423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd8bda5c-a3ca-4f0b-ad55-fc8d777539f5.png
p23424
sbNg8
(g9
g10
NtRp23425
(dp23426
g13
Nsg14
Nsg15
V2019-06-04
p23427
sbNNg8
(g9
g10
NtRp23428
(dp23429
g13
Nsg14
Nsg15
Vland use|urban area
p23430
sbg8
(g9
g10
NtRp23431
(dp23432
g13
Nsg14
Nsg15
Vvector
p23433
sbg8
(g9
g10
NtRp23434
(dp23435
g13
Nsg14
Nsg15
VSHP
p23436
sbNg8
(g9
g10
NtRp23437
(dp23438
g13
Nsg14
Nsg15
V1:10000
p23439
sbNg8
(g9
g10
NtRp23440
(dp23441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50802520510050920572B0 (PS) (Date: 2005/10/05) \u000a                      * Spot 5 2,50 m - 50802530510050921052B0 (PS) (Date: 2005/10/05)
p23442
sbg8
(g9
g10
NtRp23443
(dp23444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd8bda5c-a3ca-4f0b-ad55-fc8d777539f5
p23445
sbg8
(g9
g10
NtRp23446
(dp23447
g13
Nsg14
g74
sg15
V2005
p23448
sbg8
(g9
g10
NtRp23449
(dp23450
g13
Nsg14
g74
sg15
V2005
p23451
sbg8
(g9
g10
NtRp23452
(dp23453
g13
Nsg14
Nsg15
VFALSE
p23454
sbg8
(g9
g10
NtRp23455
(dp23456
g13
Nsg14
Nsg15
VHungary|Land use|Nyíregyháza
p23457
sbg8
(g9
g10
NtRp23458
(dp23459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23460
sbg8
(g9
g10
NtRp23461
(dp23462
g13
Nsg14
Nsg15
VFALSE
p23463
sbNg8
(g9
g10
NtRp23464
(dp23465
g13
Nsg14
Nsg15
VFALSE
p23466
sbNNNNNNNg8
(g9
g10
NtRp23467
(dp23468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23469
(dp23470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23471
(dp23472
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu003l_nyiregyhaza_2005
p23473
sbNg8
(g9
g10
NtRp23474
(dp23475
g13
Nsg14
Nsg15
Vobsolete
p23476
sbtp23477
a(g8
(g9
g10
NtRp23478
(dp23479
g13
Nsg14
Nsg15
V3b00f469-0fe9-4256-9486-732a7ab36535
p23480
sbNg8
(g9
g10
NtRp23481
(dp23482
g13
Nsg14
Nsg15
VUrban Atlas - Austria - Linz
p23483
sbNNNNNg8
(g9
g10
NtRp23484
(dp23485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23486
sbg8
(g23
g10
NtRp23487
(dp23488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23489
sbNg8
(g9
g10
NtRp23490
(dp23491
g13
Nsg14
Nsg15
VFALSE
p23492
sbNNNg8
(g9
g10
NtRp23493
(dp23494
g13
Nsg14
Nsg15
VFALSE
p23495
sbNNg8
(g9
g10
NtRp23496
(dp23497
g13
Nsg14
Nsg15
VFALSE
p23498
sbNNg8
(g9
g10
NtRp23499
(dp23500
g13
Nsg14
Nsg15
VFALSE
p23501
sbNg8
(g9
g10
NtRp23502
(dp23503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b00f469-0fe9-4256-9486-732a7ab36535.png
p23504
sbNg8
(g9
g10
NtRp23505
(dp23506
g13
Nsg14
Nsg15
V2019-06-04
p23507
sbNNg8
(g9
g10
NtRp23508
(dp23509
g13
Nsg14
Nsg15
Vland use|urban area
p23510
sbg8
(g9
g10
NtRp23511
(dp23512
g13
Nsg14
Nsg15
Vvector
p23513
sbg8
(g9
g10
NtRp23514
(dp23515
g13
Nsg14
Nsg15
VSHP
p23516
sbNg8
(g9
g10
NtRp23517
(dp23518
g13
Nsg14
Nsg15
V1:10000
p23519
sbNg8
(g9
g10
NtRp23520
(dp23521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800018 (PS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00185800019 (PS) (Date: 2007/09/16) \u000a                      * Spot 5 2,50 m - 00185800022 (PS) (Date: 2006/09/10)
p23522
sbg8
(g9
g10
NtRp23523
(dp23524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b00f469-0fe9-4256-9486-732a7ab36535
p23525
sbg8
(g9
g10
NtRp23526
(dp23527
g13
Nsg14
g74
sg15
V2006
p23528
sbg8
(g9
g10
NtRp23529
(dp23530
g13
Nsg14
g74
sg15
V2007
p23531
sbg8
(g9
g10
NtRp23532
(dp23533
g13
Nsg14
Nsg15
VTRUE
p23534
sbg8
(g9
g10
NtRp23535
(dp23536
g13
Nsg14
Nsg15
VAustria|Land use|Linz
p23537
sbg8
(g9
g10
NtRp23538
(dp23539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23540
sbg8
(g9
g10
NtRp23541
(dp23542
g13
Nsg14
Nsg15
VFALSE
p23543
sbNg8
(g9
g10
NtRp23544
(dp23545
g13
Nsg14
Nsg15
VFALSE
p23546
sbNNNNNNNg8
(g9
g10
NtRp23547
(dp23548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23549
(dp23550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23551
(dp23552
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-at003l_linz_2006-2007
p23553
sbNg8
(g9
g10
NtRp23554
(dp23555
g13
Nsg14
Nsg15
Vobsolete
p23556
sbtp23557
a(g8
(g9
g10
NtRp23558
(dp23559
g13
Nsg14
Nsg15
Vb9dd265a-77e5-47a3-b532-6f9fca79ea62
p23560
sbNg8
(g9
g10
NtRp23561
(dp23562
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Liège (Luik)
p23563
sbNNNNNg8
(g9
g10
NtRp23564
(dp23565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23566
sbg8
(g23
g10
NtRp23567
(dp23568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23569
sbNg8
(g9
g10
NtRp23570
(dp23571
g13
Nsg14
Nsg15
VFALSE
p23572
sbNNNg8
(g9
g10
NtRp23573
(dp23574
g13
Nsg14
Nsg15
VFALSE
p23575
sbNNg8
(g9
g10
NtRp23576
(dp23577
g13
Nsg14
Nsg15
VFALSE
p23578
sbNNg8
(g9
g10
NtRp23579
(dp23580
g13
Nsg14
Nsg15
VFALSE
p23581
sbNg8
(g9
g10
NtRp23582
(dp23583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9dd265a-77e5-47a3-b532-6f9fca79ea62.png
p23584
sbNg8
(g9
g10
NtRp23585
(dp23586
g13
Nsg14
Nsg15
V2019-06-04
p23587
sbNNg8
(g9
g10
NtRp23588
(dp23589
g13
Nsg14
Nsg15
Vland use|urban area
p23590
sbg8
(g9
g10
NtRp23591
(dp23592
g13
Nsg14
Nsg15
Vvector
p23593
sbg8
(g9
g10
NtRp23594
(dp23595
g13
Nsg14
Nsg15
VSHP
p23596
sbNg8
(g9
g10
NtRp23597
(dp23598
g13
Nsg14
Nsg15
V1:10000
p23599
sbNg8
(g9
g10
NtRp23600
(dp23601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784004 (MS) (Date: 2006/07/18) \u000a                      * Spot 5 2,50 m - 00182793004 (P) (Date: 2006/07/14)
p23602
sbg8
(g9
g10
NtRp23603
(dp23604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9dd265a-77e5-47a3-b532-6f9fca79ea62
p23605
sbg8
(g9
g10
NtRp23606
(dp23607
g13
Nsg14
g74
sg15
V2006
p23608
sbg8
(g9
g10
NtRp23609
(dp23610
g13
Nsg14
g74
sg15
V2006
p23611
sbg8
(g9
g10
NtRp23612
(dp23613
g13
Nsg14
Nsg15
VFALSE
p23614
sbg8
(g9
g10
NtRp23615
(dp23616
g13
Nsg14
Nsg15
VBelgium|Land use|Liège
p23617
sbg8
(g9
g10
NtRp23618
(dp23619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23620
sbg8
(g9
g10
NtRp23621
(dp23622
g13
Nsg14
Nsg15
VFALSE
p23623
sbNg8
(g9
g10
NtRp23624
(dp23625
g13
Nsg14
Nsg15
VFALSE
p23626
sbNNNNNNNg8
(g9
g10
NtRp23627
(dp23628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23629
(dp23630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23631
(dp23632
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be005l_liege_2006
p23633
sbNg8
(g9
g10
NtRp23634
(dp23635
g13
Nsg14
Nsg15
Vobsolete
p23636
sbtp23637
a(g8
(g9
g10
NtRp23638
(dp23639
g13
Nsg14
Nsg15
V81511109-f329-41b9-b82b-c11415652160
p23640
sbNg8
(g9
g10
NtRp23641
(dp23642
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Kalamata (\u039a\u03b1\u03bb\u03b1\u03bc\u03ac\u03c4\u03b1)
p23643
sbNNNNNg8
(g9
g10
NtRp23644
(dp23645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23646
sbg8
(g23
g10
NtRp23647
(dp23648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23649
sbNg8
(g9
g10
NtRp23650
(dp23651
g13
Nsg14
Nsg15
VFALSE
p23652
sbNNNg8
(g9
g10
NtRp23653
(dp23654
g13
Nsg14
Nsg15
VFALSE
p23655
sbNNg8
(g9
g10
NtRp23656
(dp23657
g13
Nsg14
Nsg15
VFALSE
p23658
sbNNg8
(g9
g10
NtRp23659
(dp23660
g13
Nsg14
Nsg15
VFALSE
p23661
sbNg8
(g9
g10
NtRp23662
(dp23663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/81511109-f329-41b9-b82b-c11415652160.png
p23664
sbNg8
(g9
g10
NtRp23665
(dp23666
g13
Nsg14
Nsg15
V2019-06-04
p23667
sbNNg8
(g9
g10
NtRp23668
(dp23669
g13
Nsg14
Nsg15
Vland use|urban area
p23670
sbg8
(g9
g10
NtRp23671
(dp23672
g13
Nsg14
Nsg15
Vvector
p23673
sbg8
(g9
g10
NtRp23674
(dp23675
g13
Nsg14
Nsg15
VSHP
p23676
sbNg8
(g9
g10
NtRp23677
(dp23678
g13
Nsg14
Nsg15
V1:10000
p23679
sbNg8
(g9
g10
NtRp23680
(dp23681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50892750608130923492B1 (PS) (Date: 2006/08/13) \u000a                      * Spot 5 2,50 m - 50902760508190928381B0 (PS) (Date: 2005/08/19)
p23682
sbg8
(g9
g10
NtRp23683
(dp23684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81511109-f329-41b9-b82b-c11415652160
p23685
sbg8
(g9
g10
NtRp23686
(dp23687
g13
Nsg14
g74
sg15
V2005
p23688
sbg8
(g9
g10
NtRp23689
(dp23690
g13
Nsg14
g74
sg15
V2006
p23691
sbg8
(g9
g10
NtRp23692
(dp23693
g13
Nsg14
Nsg15
VTRUE
p23694
sbg8
(g9
g10
NtRp23695
(dp23696
g13
Nsg14
Nsg15
VGreece|Kalamata|Land use
p23697
sbg8
(g9
g10
NtRp23698
(dp23699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23700
sbg8
(g9
g10
NtRp23701
(dp23702
g13
Nsg14
Nsg15
VFALSE
p23703
sbNg8
(g9
g10
NtRp23704
(dp23705
g13
Nsg14
Nsg15
VFALSE
p23706
sbNNNNNNNg8
(g9
g10
NtRp23707
(dp23708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23709
(dp23710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23711
(dp23712
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr009l_kalamata_2005-2006
p23713
sbNg8
(g9
g10
NtRp23714
(dp23715
g13
Nsg14
Nsg15
Vobsolete
p23716
sbtp23717
a(g8
(g9
g10
NtRp23718
(dp23719
g13
Nsg14
Nsg15
Vba59cf50-bb13-4e25-8406-b18c465e9628
p23720
sbNg8
(g9
g10
NtRp23721
(dp23722
g13
Nsg14
Nsg15
VUrban Atlas - France - Aix-en-Provence
p23723
sbNNNNNg8
(g9
g10
NtRp23724
(dp23725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23726
sbg8
(g23
g10
NtRp23727
(dp23728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23729
sbNg8
(g9
g10
NtRp23730
(dp23731
g13
Nsg14
Nsg15
VFALSE
p23732
sbNNNg8
(g9
g10
NtRp23733
(dp23734
g13
Nsg14
Nsg15
VFALSE
p23735
sbNNg8
(g9
g10
NtRp23736
(dp23737
g13
Nsg14
Nsg15
VFALSE
p23738
sbNNg8
(g9
g10
NtRp23739
(dp23740
g13
Nsg14
Nsg15
VFALSE
p23741
sbNg8
(g9
g10
NtRp23742
(dp23743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba59cf50-bb13-4e25-8406-b18c465e9628.png
p23744
sbNg8
(g9
g10
NtRp23745
(dp23746
g13
Nsg14
Nsg15
V2019-06-04
p23747
sbNNg8
(g9
g10
NtRp23748
(dp23749
g13
Nsg14
Nsg15
Vland use|urban area
p23750
sbg8
(g9
g10
NtRp23751
(dp23752
g13
Nsg14
Nsg15
Vvector
p23753
sbg8
(g9
g10
NtRp23754
(dp23755
g13
Nsg14
Nsg15
VSHP
p23756
sbNg8
(g9
g10
NtRp23757
(dp23758
g13
Nsg14
Nsg15
V1:10000
p23759
sbNg8
(g9
g10
NtRp23760
(dp23761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070309_101559_DLR_5971_PRUTM (XS) (Date: 2007/03/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070312_103919_DLR_6015_PRUTM (P) (Date: 2007/03/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070312_103924_DLR_6015_PRUTM (P) (Date: 2007/03/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070728_103914_DLR_8028_PRUTM (P) (Date: 2007/07/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070728_103918_DLR_8028_PRUTM (P) (Date: 2007/07/28)
p23762
sbg8
(g9
g10
NtRp23763
(dp23764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba59cf50-bb13-4e25-8406-b18c465e9628
p23765
sbg8
(g9
g10
NtRp23766
(dp23767
g13
Nsg14
g74
sg15
V2007
p23768
sbg8
(g9
g10
NtRp23769
(dp23770
g13
Nsg14
g74
sg15
V2007
p23771
sbg8
(g9
g10
NtRp23772
(dp23773
g13
Nsg14
Nsg15
VFALSE
p23774
sbg8
(g9
g10
NtRp23775
(dp23776
g13
Nsg14
Nsg15
VAix-en-Provence|France|Land use
p23777
sbg8
(g9
g10
NtRp23778
(dp23779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23780
sbg8
(g9
g10
NtRp23781
(dp23782
g13
Nsg14
Nsg15
VFALSE
p23783
sbNg8
(g9
g10
NtRp23784
(dp23785
g13
Nsg14
Nsg15
VFALSE
p23786
sbNNNNNNNg8
(g9
g10
NtRp23787
(dp23788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23789
(dp23790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23791
(dp23792
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr202c_aix_en_provence_2007
p23793
sbNg8
(g9
g10
NtRp23794
(dp23795
g13
Nsg14
Nsg15
Vobsolete
p23796
sbtp23797
a(g8
(g9
g10
NtRp23798
(dp23799
g13
Nsg14
Nsg15
V7fe0d480-5882-4b4b-856a-b55f772bf63c
p23800
sbNg8
(g9
g10
NtRp23801
(dp23802
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Turin (Torino)
p23803
sbNNNNNg8
(g9
g10
NtRp23804
(dp23805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23806
sbg8
(g23
g10
NtRp23807
(dp23808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23809
sbNg8
(g9
g10
NtRp23810
(dp23811
g13
Nsg14
Nsg15
VFALSE
p23812
sbNNNg8
(g9
g10
NtRp23813
(dp23814
g13
Nsg14
Nsg15
VFALSE
p23815
sbNNg8
(g9
g10
NtRp23816
(dp23817
g13
Nsg14
Nsg15
VFALSE
p23818
sbNNg8
(g9
g10
NtRp23819
(dp23820
g13
Nsg14
Nsg15
VFALSE
p23821
sbNg8
(g9
g10
NtRp23822
(dp23823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7fe0d480-5882-4b4b-856a-b55f772bf63c.png
p23824
sbNg8
(g9
g10
NtRp23825
(dp23826
g13
Nsg14
Nsg15
V2019-06-04
p23827
sbNNg8
(g9
g10
NtRp23828
(dp23829
g13
Nsg14
Nsg15
Vland use|urban area
p23830
sbg8
(g9
g10
NtRp23831
(dp23832
g13
Nsg14
Nsg15
Vvector
p23833
sbg8
(g9
g10
NtRp23834
(dp23835
g13
Nsg14
Nsg15
VSHP
p23836
sbNg8
(g9
g10
NtRp23837
(dp23838
g13
Nsg14
Nsg15
V1:10000
p23839
sbNg8
(g9
g10
NtRp23840
(dp23841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800008 (PS) (Date: 2005/10/16) \u000a                      * Spot 5 2,50 m - 00185800010 (PS) (Date: 2006/07/30) \u000a                      * Spot 5 2,50 m - 00185800012 (PS) (Date: 2006/08/04) \u000a                      * Spot 5 2,50 m - 00185800013 (PS) (Date: 2006/10/16) \u000a                      * Spot 5 2,50 m - 00185800014 (PS) (Date: 2006/06/19)
p23842
sbg8
(g9
g10
NtRp23843
(dp23844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7fe0d480-5882-4b4b-856a-b55f772bf63c
p23845
sbg8
(g9
g10
NtRp23846
(dp23847
g13
Nsg14
g74
sg15
V2005
p23848
sbg8
(g9
g10
NtRp23849
(dp23850
g13
Nsg14
g74
sg15
V2006
p23851
sbg8
(g9
g10
NtRp23852
(dp23853
g13
Nsg14
Nsg15
VTRUE
p23854
sbg8
(g9
g10
NtRp23855
(dp23856
g13
Nsg14
Nsg15
VItaly|Land use|Turin
p23857
sbg8
(g9
g10
NtRp23858
(dp23859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23860
sbg8
(g9
g10
NtRp23861
(dp23862
g13
Nsg14
Nsg15
VFALSE
p23863
sbNg8
(g9
g10
NtRp23864
(dp23865
g13
Nsg14
Nsg15
VFALSE
p23866
sbNNNNNNNg8
(g9
g10
NtRp23867
(dp23868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23869
(dp23870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23871
(dp23872
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it004l_torino_2005-2006
p23873
sbNg8
(g9
g10
NtRp23874
(dp23875
g13
Nsg14
Nsg15
Vobsolete
p23876
sbtp23877
a(g8
(g9
g10
NtRp23878
(dp23879
g13
Nsg14
Nsg15
V51b11bcb-a2a4-4481-b446-04c6080bfe08
p23880
sbNg8
(g9
g10
NtRp23881
(dp23882
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Birmingham
p23883
sbNNNNNg8
(g9
g10
NtRp23884
(dp23885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23886
sbg8
(g23
g10
NtRp23887
(dp23888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23889
sbNg8
(g9
g10
NtRp23890
(dp23891
g13
Nsg14
Nsg15
VFALSE
p23892
sbNNNg8
(g9
g10
NtRp23893
(dp23894
g13
Nsg14
Nsg15
VFALSE
p23895
sbNNg8
(g9
g10
NtRp23896
(dp23897
g13
Nsg14
Nsg15
VFALSE
p23898
sbNNg8
(g9
g10
NtRp23899
(dp23900
g13
Nsg14
Nsg15
VFALSE
p23901
sbNg8
(g9
g10
NtRp23902
(dp23903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/51b11bcb-a2a4-4481-b446-04c6080bfe08.png
p23904
sbNg8
(g9
g10
NtRp23905
(dp23906
g13
Nsg14
Nsg15
V2019-06-04
p23907
sbNNg8
(g9
g10
NtRp23908
(dp23909
g13
Nsg14
Nsg15
Vland use|urban area
p23910
sbg8
(g9
g10
NtRp23911
(dp23912
g13
Nsg14
Nsg15
Vvector
p23913
sbg8
(g9
g10
NtRp23914
(dp23915
g13
Nsg14
Nsg15
VSHP
p23916
sbNg8
(g9
g10
NtRp23917
(dp23918
g13
Nsg14
Nsg15
V1:10000
p23919
sbNg8
(g9
g10
NtRp23920
(dp23921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50262431010251102002B1 (PS) (Date: 2010/10/25) \u000a                      * Spot 5 2,50 m - 50262440606171057152B0 (PS) (Date: 2006/06/17) \u000a                      * Spot 5 2,50 m - 50292441004211057302B0 (PS) (Date: 2010/04/21)
p23922
sbg8
(g9
g10
NtRp23923
(dp23924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51b11bcb-a2a4-4481-b446-04c6080bfe08
p23925
sbg8
(g9
g10
NtRp23926
(dp23927
g13
Nsg14
g74
sg15
V2006
p23928
sbg8
(g9
g10
NtRp23929
(dp23930
g13
Nsg14
g74
sg15
V2010
p23931
sbg8
(g9
g10
NtRp23932
(dp23933
g13
Nsg14
Nsg15
VTRUE
p23934
sbg8
(g9
g10
NtRp23935
(dp23936
g13
Nsg14
Nsg15
VBirmingham|Land use|United Kingdom
p23937
sbg8
(g9
g10
NtRp23938
(dp23939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p23940
sbg8
(g9
g10
NtRp23941
(dp23942
g13
Nsg14
Nsg15
VFALSE
p23943
sbNg8
(g9
g10
NtRp23944
(dp23945
g13
Nsg14
Nsg15
VFALSE
p23946
sbNNNNNNNg8
(g9
g10
NtRp23947
(dp23948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp23949
(dp23950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp23951
(dp23952
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk002l_birmingham_2006-2010
p23953
sbNg8
(g9
g10
NtRp23954
(dp23955
g13
Nsg14
Nsg15
Vobsolete
p23956
sbtp23957
a(g8
(g9
g10
NtRp23958
(dp23959
g13
Nsg14
Nsg15
Vf5021f30-43d5-455e-b938-16732796fb90
p23960
sbNg8
(g9
g10
NtRp23961
(dp23962
g13
Nsg14
Nsg15
VUrban Atlas - France - Nice
p23963
sbNNNNNg8
(g9
g10
NtRp23964
(dp23965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p23966
sbg8
(g23
g10
NtRp23967
(dp23968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p23969
sbNg8
(g9
g10
NtRp23970
(dp23971
g13
Nsg14
Nsg15
VFALSE
p23972
sbNNNg8
(g9
g10
NtRp23973
(dp23974
g13
Nsg14
Nsg15
VFALSE
p23975
sbNNg8
(g9
g10
NtRp23976
(dp23977
g13
Nsg14
Nsg15
VFALSE
p23978
sbNNg8
(g9
g10
NtRp23979
(dp23980
g13
Nsg14
Nsg15
VFALSE
p23981
sbNg8
(g9
g10
NtRp23982
(dp23983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5021f30-43d5-455e-b938-16732796fb90.png
p23984
sbNg8
(g9
g10
NtRp23985
(dp23986
g13
Nsg14
Nsg15
V2019-06-04
p23987
sbNNg8
(g9
g10
NtRp23988
(dp23989
g13
Nsg14
Nsg15
Vland use|urban area
p23990
sbg8
(g9
g10
NtRp23991
(dp23992
g13
Nsg14
Nsg15
Vvector
p23993
sbg8
(g9
g10
NtRp23994
(dp23995
g13
Nsg14
Nsg15
VSHP
p23996
sbNg8
(g9
g10
NtRp23997
(dp23998
g13
Nsg14
Nsg15
V1:10000
p23999
sbNg8
(g9
g10
NtRp24000
(dp24001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080328_101546_DLR_11587_PREU (XS) (Date: 2008/03/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070422_103256_DLR_6613_PREU (P) (Date: 2007/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070422_103252_DLR_6613_PREU (P) (Date: 2007/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080424_103010_DLR_11981_PREU (P) (Date: 2008/04/24)
p24002
sbg8
(g9
g10
NtRp24003
(dp24004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5021f30-43d5-455e-b938-16732796fb90
p24005
sbg8
(g9
g10
NtRp24006
(dp24007
g13
Nsg14
g74
sg15
V2007
p24008
sbg8
(g9
g10
NtRp24009
(dp24010
g13
Nsg14
g74
sg15
V2008
p24011
sbg8
(g9
g10
NtRp24012
(dp24013
g13
Nsg14
Nsg15
VTRUE
p24014
sbg8
(g9
g10
NtRp24015
(dp24016
g13
Nsg14
Nsg15
VFrance|Land use|Nice
p24017
sbg8
(g9
g10
NtRp24018
(dp24019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24020
sbg8
(g9
g10
NtRp24021
(dp24022
g13
Nsg14
Nsg15
VFALSE
p24023
sbNg8
(g9
g10
NtRp24024
(dp24025
g13
Nsg14
Nsg15
VFALSE
p24026
sbNNNNNNNg8
(g9
g10
NtRp24027
(dp24028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24029
(dp24030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24031
(dp24032
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-fr205c_nice_2007-2008
p24033
sbNg8
(g9
g10
NtRp24034
(dp24035
g13
Nsg14
Nsg15
Vobsolete
p24036
sbtp24037
a(g8
(g9
g10
NtRp24038
(dp24039
g13
Nsg14
Nsg15
V5de11c72-9296-429a-aa0f-2dbc58112ab0
p24040
sbNg8
(g9
g10
NtRp24041
(dp24042
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - London
p24043
sbNNNNNg8
(g9
g10
NtRp24044
(dp24045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24046
sbg8
(g23
g10
NtRp24047
(dp24048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24049
sbNg8
(g9
g10
NtRp24050
(dp24051
g13
Nsg14
Nsg15
VFALSE
p24052
sbNNNg8
(g9
g10
NtRp24053
(dp24054
g13
Nsg14
Nsg15
VFALSE
p24055
sbNNg8
(g9
g10
NtRp24056
(dp24057
g13
Nsg14
Nsg15
VFALSE
p24058
sbNNg8
(g9
g10
NtRp24059
(dp24060
g13
Nsg14
Nsg15
VFALSE
p24061
sbNg8
(g9
g10
NtRp24062
(dp24063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5de11c72-9296-429a-aa0f-2dbc58112ab0.png
p24064
sbNg8
(g9
g10
NtRp24065
(dp24066
g13
Nsg14
Nsg15
V2019-06-04
p24067
sbNNg8
(g9
g10
NtRp24068
(dp24069
g13
Nsg14
Nsg15
Vland use|urban area
p24070
sbg8
(g9
g10
NtRp24071
(dp24072
g13
Nsg14
Nsg15
Vvector
p24073
sbg8
(g9
g10
NtRp24074
(dp24075
g13
Nsg14
Nsg15
VSHP
p24076
sbNg8
(g9
g10
NtRp24077
(dp24078
g13
Nsg14
Nsg15
V1:10000
p24079
sbNg8
(g9
g10
NtRp24080
(dp24081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50302450611191116381B0 (PS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50302460611191116471B0 (PS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50322460611091109051B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50332440611091108491B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50332450611091108571B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50342450910151110342B0 (PS) (Date: 2009/10/15) \u000a                      * Spot 5 2,50 m - 50342450910151110342B6 (PS) (Date: 2009/10/15) \u000a                      * Spot 5 2,50 m - 50342460909251054512B5 (PS) (Date: 2009/09/25) \u000a                      * Spot 5 2,50 m - 50352460805071122122B5 (PS) (Date: 2008/05/07) \u000a                      * Spot 5 2,50 m - 50302450611191116381B0 (PS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50302460611191116471B0 (PS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50322460611091109051B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50332440611091108491B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50332450611091108571B0 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50342450910151110342B0 (PS) (Date: 2009/10/15) \u000a                      * Spot 5 2,50 m - 50342450910151110342B6 (PS) (Date: 2009/10/15) \u000a                      * Spot 5 2,50 m - 50342460909251054512B5 (PS) (Date: 2009/09/25) \u000a                      * Spot 5 2,50 m - 50352460805071122122B5 (PS) (Date: 2008/05/07)
p24082
sbg8
(g9
g10
NtRp24083
(dp24084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5de11c72-9296-429a-aa0f-2dbc58112ab0
p24085
sbg8
(g9
g10
NtRp24086
(dp24087
g13
Nsg14
g74
sg15
V2006
p24088
sbg8
(g9
g10
NtRp24089
(dp24090
g13
Nsg14
g74
sg15
V2009
p24091
sbg8
(g9
g10
NtRp24092
(dp24093
g13
Nsg14
Nsg15
VTRUE
p24094
sbg8
(g9
g10
NtRp24095
(dp24096
g13
Nsg14
Nsg15
VLand use|London|United Kingdom
p24097
sbg8
(g9
g10
NtRp24098
(dp24099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24100
sbg8
(g9
g10
NtRp24101
(dp24102
g13
Nsg14
Nsg15
VFALSE
p24103
sbNg8
(g9
g10
NtRp24104
(dp24105
g13
Nsg14
Nsg15
VFALSE
p24106
sbNNNNNNNg8
(g9
g10
NtRp24107
(dp24108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24109
(dp24110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24111
(dp24112
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-uk001l_london_2006-2009
p24113
sbNg8
(g9
g10
NtRp24114
(dp24115
g13
Nsg14
Nsg15
Vobsolete
p24116
sbtp24117
a(g8
(g9
g10
NtRp24118
(dp24119
g13
Nsg14
Nsg15
V006de203-585e-4d4d-9c2d-1057f38c5856
p24120
sbNg8
(g9
g10
NtRp24121
(dp24122
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Nuremberg (Nürnberg)
p24123
sbNNNNNg8
(g9
g10
NtRp24124
(dp24125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24126
sbg8
(g23
g10
NtRp24127
(dp24128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24129
sbNg8
(g9
g10
NtRp24130
(dp24131
g13
Nsg14
Nsg15
VFALSE
p24132
sbNNNg8
(g9
g10
NtRp24133
(dp24134
g13
Nsg14
Nsg15
VFALSE
p24135
sbNNg8
(g9
g10
NtRp24136
(dp24137
g13
Nsg14
Nsg15
VFALSE
p24138
sbNNg8
(g9
g10
NtRp24139
(dp24140
g13
Nsg14
Nsg15
VFALSE
p24141
sbNg8
(g9
g10
NtRp24142
(dp24143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/006de203-585e-4d4d-9c2d-1057f38c5856.png
p24144
sbNg8
(g9
g10
NtRp24145
(dp24146
g13
Nsg14
Nsg15
V2019-06-04
p24147
sbNNg8
(g9
g10
NtRp24148
(dp24149
g13
Nsg14
Nsg15
Vland use|urban area
p24150
sbg8
(g9
g10
NtRp24151
(dp24152
g13
Nsg14
Nsg15
Vvector
p24153
sbg8
(g9
g10
NtRp24154
(dp24155
g13
Nsg14
Nsg15
VSHP
p24156
sbNg8
(g9
g10
NtRp24157
(dp24158
g13
Nsg14
Nsg15
V1:10000
p24159
sbNg8
(g9
g10
NtRp24160
(dp24161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50562491006041011351B6 (PS) (Date: 2010/06/04) \u000a                      * Spot 5 2,50 m - 50572501006041011431B0 (PS) (Date: 2010/06/04) \u000a                      * Spot 5 2,50 m - 50582501004231019072B0 (PS) (Date: 2010/04/23) \u000a                      * Spot 5 2,50 m - 50582511004231019152B0 (PS) (Date: 2010/04/23) \u000a                      * ALOS 10 m - AL_AV2_X_20061016_110352_DLR_3871_PRUTM (XS) (Date: 2006/10/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094420_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070619_102648_DLR_7459_PRUTM (XS) (Date: 2007/06/19) \u000a                      * ALOS 10 m - AL_AV2_X_20070701_102246_DLR_7634_PRUTM (XS) (Date: 2007/07/01) \u000a                      * ALOS 10 m - AL_AV2_X_20080703_101910_DLR_13002_PRUTM (XS) (Date: 2008/07/03) \u000a                      * ALOS 10 m - AL_AV2_X_20090809_102816_DLR_18866_PRUTM (XS) (Date: 2009/08/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070504_102658_DLR_6788_PRUTM (P) (Date: 2007/05/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070614_102038_DLR_7386_PRUTM (P) (Date: 2007/06/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101910_DLR_13002_PRUTM (P) (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101914_DLR_13002_PRUTM (P) (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101918_DLR_13002_PRUTM (P) (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090422_102525_DLR_17276_PRUTM (P) (Date: 2009/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090422_102530_DLR_17276_PRUTM (P) (Date: 2009/04/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090907_102618_DLR_19289_PRUTM (P) (Date: 2009/09/07) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090907_102622_DLR_19289_PRUTM (P) (Date: 2009/09/07)
p24162
sbg8
(g9
g10
NtRp24163
(dp24164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/006de203-585e-4d4d-9c2d-1057f38c5856
p24165
sbg8
(g9
g10
NtRp24166
(dp24167
g13
Nsg14
g74
sg15
V2006
p24168
sbg8
(g9
g10
NtRp24169
(dp24170
g13
Nsg14
g74
sg15
V2010
p24171
sbg8
(g9
g10
NtRp24172
(dp24173
g13
Nsg14
Nsg15
VTRUE
p24174
sbg8
(g9
g10
NtRp24175
(dp24176
g13
Nsg14
Nsg15
VGermany|Land use|Nuremberg
p24177
sbg8
(g9
g10
NtRp24178
(dp24179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24180
sbg8
(g9
g10
NtRp24181
(dp24182
g13
Nsg14
Nsg15
VFALSE
p24183
sbNg8
(g9
g10
NtRp24184
(dp24185
g13
Nsg14
Nsg15
VFALSE
p24186
sbNNNNNNNg8
(g9
g10
NtRp24187
(dp24188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24189
(dp24190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24191
(dp24192
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de014l_nurnberg_2006-2010
p24193
sbNg8
(g9
g10
NtRp24194
(dp24195
g13
Nsg14
Nsg15
Vobsolete
p24196
sbtp24197
a(g8
(g9
g10
NtRp24198
(dp24199
g13
Nsg14
Nsg15
V22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad
p24200
sbNg8
(g9
g10
NtRp24201
(dp24202
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Ancona
p24203
sbNNNNNg8
(g9
g10
NtRp24204
(dp24205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24206
sbg8
(g23
g10
NtRp24207
(dp24208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24209
sbNg8
(g9
g10
NtRp24210
(dp24211
g13
Nsg14
Nsg15
VFALSE
p24212
sbNNNg8
(g9
g10
NtRp24213
(dp24214
g13
Nsg14
Nsg15
VFALSE
p24215
sbNNg8
(g9
g10
NtRp24216
(dp24217
g13
Nsg14
Nsg15
VFALSE
p24218
sbNNg8
(g9
g10
NtRp24219
(dp24220
g13
Nsg14
Nsg15
VFALSE
p24221
sbNg8
(g9
g10
NtRp24222
(dp24223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad.png
p24224
sbNg8
(g9
g10
NtRp24225
(dp24226
g13
Nsg14
Nsg15
V2019-06-04
p24227
sbNNg8
(g9
g10
NtRp24228
(dp24229
g13
Nsg14
Nsg15
Vland use|urban area
p24230
sbg8
(g9
g10
NtRp24231
(dp24232
g13
Nsg14
Nsg15
Vvector
p24233
sbg8
(g9
g10
NtRp24234
(dp24235
g13
Nsg14
Nsg15
VSHP
p24236
sbNg8
(g9
g10
NtRp24237
(dp24238
g13
Nsg14
Nsg15
V1:10000
p24239
sbNg8
(g9
g10
NtRp24240
(dp24241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080705_100339_DLR_13031_PRUTM (XS) (Date: 2008/07/05) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080218_100529_DLR_11018_PRUTM (P) (Date: 2008/02/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080218_100533_DLR_11018_PRUTM (P) (Date: 2008/02/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080705_100339_DLR_13031_PRUTM (P) (Date: 2008/07/05) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080705_100343_DLR_13031_PRUTM (P) (Date: 2008/07/05)
p24242
sbg8
(g9
g10
NtRp24243
(dp24244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad
p24245
sbg8
(g9
g10
NtRp24246
(dp24247
g13
Nsg14
g74
sg15
V2008
p24248
sbg8
(g9
g10
NtRp24249
(dp24250
g13
Nsg14
g74
sg15
V2008
p24251
sbg8
(g9
g10
NtRp24252
(dp24253
g13
Nsg14
Nsg15
VFALSE
p24254
sbg8
(g9
g10
NtRp24255
(dp24256
g13
Nsg14
Nsg15
VAncona|Italy|Land use
p24257
sbg8
(g9
g10
NtRp24258
(dp24259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24260
sbg8
(g9
g10
NtRp24261
(dp24262
g13
Nsg14
Nsg15
VFALSE
p24263
sbNg8
(g9
g10
NtRp24264
(dp24265
g13
Nsg14
Nsg15
VFALSE
p24266
sbNNNNNNNg8
(g9
g10
NtRp24267
(dp24268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24269
(dp24270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24271
(dp24272
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it017l_ancona_2008
p24273
sbNg8
(g9
g10
NtRp24274
(dp24275
g13
Nsg14
Nsg15
Vobsolete
p24276
sbtp24277
a(g8
(g9
g10
NtRp24278
(dp24279
g13
Nsg14
Nsg15
V83bc4170-ac2b-451b-aa57-34b52c1d3487
p24280
sbNg8
(g9
g10
NtRp24281
(dp24282
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Munich (München)
p24283
sbNNNNNg8
(g9
g10
NtRp24284
(dp24285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24286
sbg8
(g23
g10
NtRp24287
(dp24288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24289
sbNg8
(g9
g10
NtRp24290
(dp24291
g13
Nsg14
Nsg15
VFALSE
p24292
sbNNNg8
(g9
g10
NtRp24293
(dp24294
g13
Nsg14
Nsg15
VFALSE
p24295
sbNNg8
(g9
g10
NtRp24296
(dp24297
g13
Nsg14
Nsg15
VFALSE
p24298
sbNNg8
(g9
g10
NtRp24299
(dp24300
g13
Nsg14
Nsg15
VFALSE
p24301
sbNg8
(g9
g10
NtRp24302
(dp24303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/83bc4170-ac2b-451b-aa57-34b52c1d3487.png
p24304
sbNg8
(g9
g10
NtRp24305
(dp24306
g13
Nsg14
Nsg15
V2019-06-04
p24307
sbNNg8
(g9
g10
NtRp24308
(dp24309
g13
Nsg14
Nsg15
Vland use|urban area
p24310
sbg8
(g9
g10
NtRp24311
(dp24312
g13
Nsg14
Nsg15
Vvector
p24313
sbg8
(g9
g10
NtRp24314
(dp24315
g13
Nsg14
Nsg15
VSHP
p24316
sbNg8
(g9
g10
NtRp24317
(dp24318
g13
Nsg14
Nsg15
V1:10000
p24319
sbNg8
(g9
g10
NtRp24320
(dp24321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00182784009 (XS) (Date: 2004/05/20) \u000a                      * SPOT 5 2,50 m - 00182784010 (XS) (Date: 2006/07/20) \u000a                      * SPOT 5 2,50 m - 00182784011 (XS) (Date: 2006/05/04) \u000a                      * SPOT 5 2,50 m - 00182784012 (XS) (Date: 2007/04/27) \u000a                      * SPOT 5 2,50 m - 00182784013 (XS) (Date: 2006/10/11) \u000a                      * SPOT 5 2,50 m - 00182793008 (P) (Date: 2005/10/13) \u000a                      * SPOT 5 2,50 m - 00182793009 (P) (Date: 2006/05/08) \u000a                      * SPOT 5 2,50 m - 00182793010 (P) (Date: 2005/09/22) \u000a                      * SPOT 5 2,50 m - 00182793011 (P) (Date: 2005/10/18) \u000a                      * SPOT 5 2,50 m - 00182793012 (P) (Date: 2005/10/18)
p24322
sbg8
(g9
g10
NtRp24323
(dp24324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83bc4170-ac2b-451b-aa57-34b52c1d3487
p24325
sbg8
(g9
g10
NtRp24326
(dp24327
g13
Nsg14
g74
sg15
V2004
p24328
sbg8
(g9
g10
NtRp24329
(dp24330
g13
Nsg14
g74
sg15
V2007
p24331
sbg8
(g9
g10
NtRp24332
(dp24333
g13
Nsg14
Nsg15
VTRUE
p24334
sbg8
(g9
g10
NtRp24335
(dp24336
g13
Nsg14
Nsg15
VGermany|Land use|Munich
p24337
sbg8
(g9
g10
NtRp24338
(dp24339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24340
sbg8
(g9
g10
NtRp24341
(dp24342
g13
Nsg14
Nsg15
VFALSE
p24343
sbNg8
(g9
g10
NtRp24344
(dp24345
g13
Nsg14
Nsg15
VFALSE
p24346
sbNNNNNNNg8
(g9
g10
NtRp24347
(dp24348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24349
(dp24350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24351
(dp24352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de003l_munchen_2004-2007
p24353
sbNg8
(g9
g10
NtRp24354
(dp24355
g13
Nsg14
Nsg15
Vobsolete
p24356
sbtp24357
a(g8
(g9
g10
NtRp24358
(dp24359
g13
Nsg14
Nsg15
Va32cdbf3-9190-4e0a-89b6-c3a51c6be11b
p24360
sbNg8
(g9
g10
NtRp24361
(dp24362
g13
Nsg14
Nsg15
VUrban Atlas - Estonia - Tartu
p24363
sbNNNNNg8
(g9
g10
NtRp24364
(dp24365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24366
sbg8
(g23
g10
NtRp24367
(dp24368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24369
sbNg8
(g9
g10
NtRp24370
(dp24371
g13
Nsg14
Nsg15
VFALSE
p24372
sbNNNg8
(g9
g10
NtRp24373
(dp24374
g13
Nsg14
Nsg15
VFALSE
p24375
sbNNg8
(g9
g10
NtRp24376
(dp24377
g13
Nsg14
Nsg15
VFALSE
p24378
sbNNg8
(g9
g10
NtRp24379
(dp24380
g13
Nsg14
Nsg15
VFALSE
p24381
sbNg8
(g9
g10
NtRp24382
(dp24383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a32cdbf3-9190-4e0a-89b6-c3a51c6be11b.png
p24384
sbNg8
(g9
g10
NtRp24385
(dp24386
g13
Nsg14
Nsg15
V2019-06-04
p24387
sbNNg8
(g9
g10
NtRp24388
(dp24389
g13
Nsg14
Nsg15
Vland use|urban area
p24390
sbg8
(g9
g10
NtRp24391
(dp24392
g13
Nsg14
Nsg15
Vvector
p24393
sbg8
(g9
g10
NtRp24394
(dp24395
g13
Nsg14
Nsg15
VSHP
p24396
sbNg8
(g9
g10
NtRp24397
(dp24398
g13
Nsg14
Nsg15
V1:10000
p24399
sbNg8
(g9
g10
NtRp24400
(dp24401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800004 (PS) (Date: 2005/09/27) \u000a                      * Spot 5 2,50 m - 00182800009 (PS) (Date: 2005/10/14) \u000a                      * Spot 5 2,50 m - 00182800018 (PS) (Date: 2006/08/07) \u000a                      * Spot 5 2,50 m - 00182800019 (PS) (Date: 2006/08/07)
p24402
sbg8
(g9
g10
NtRp24403
(dp24404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a32cdbf3-9190-4e0a-89b6-c3a51c6be11b
p24405
sbg8
(g9
g10
NtRp24406
(dp24407
g13
Nsg14
g74
sg15
V2005
p24408
sbg8
(g9
g10
NtRp24409
(dp24410
g13
Nsg14
g74
sg15
V2006
p24411
sbg8
(g9
g10
NtRp24412
(dp24413
g13
Nsg14
Nsg15
VTRUE
p24414
sbg8
(g9
g10
NtRp24415
(dp24416
g13
Nsg14
Nsg15
VEstonia|Land use|Tartu
p24417
sbg8
(g9
g10
NtRp24418
(dp24419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24420
sbg8
(g9
g10
NtRp24421
(dp24422
g13
Nsg14
Nsg15
VFALSE
p24423
sbNg8
(g9
g10
NtRp24424
(dp24425
g13
Nsg14
Nsg15
VFALSE
p24426
sbNNNNNNNg8
(g9
g10
NtRp24427
(dp24428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24429
(dp24430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24431
(dp24432
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ee002l_tartu_2005-2006
p24433
sbNg8
(g9
g10
NtRp24434
(dp24435
g13
Nsg14
Nsg15
Vobsolete
p24436
sbtp24437
a(g8
(g9
g10
NtRp24438
(dp24439
g13
Nsg14
Nsg15
Vefd69677-27e3-46a2-a8cc-beeb804e6b96
p24440
sbNg8
(g9
g10
NtRp24441
(dp24442
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Antwerp (Antwerpen)
p24443
sbNNNNNg8
(g9
g10
NtRp24444
(dp24445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24446
sbg8
(g23
g10
NtRp24447
(dp24448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24449
sbNg8
(g9
g10
NtRp24450
(dp24451
g13
Nsg14
Nsg15
VFALSE
p24452
sbNNNg8
(g9
g10
NtRp24453
(dp24454
g13
Nsg14
Nsg15
VFALSE
p24455
sbNNg8
(g9
g10
NtRp24456
(dp24457
g13
Nsg14
Nsg15
VFALSE
p24458
sbNNg8
(g9
g10
NtRp24459
(dp24460
g13
Nsg14
Nsg15
VFALSE
p24461
sbNg8
(g9
g10
NtRp24462
(dp24463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/efd69677-27e3-46a2-a8cc-beeb804e6b96.png
p24464
sbNg8
(g9
g10
NtRp24465
(dp24466
g13
Nsg14
Nsg15
V2019-06-04
p24467
sbNNg8
(g9
g10
NtRp24468
(dp24469
g13
Nsg14
Nsg15
Vland use|urban area
p24470
sbg8
(g9
g10
NtRp24471
(dp24472
g13
Nsg14
Nsg15
Vvector
p24473
sbg8
(g9
g10
NtRp24474
(dp24475
g13
Nsg14
Nsg15
VSHP
p24476
sbNg8
(g9
g10
NtRp24477
(dp24478
g13
Nsg14
Nsg15
V1:10000
p24479
sbNg8
(g9
g10
NtRp24480
(dp24481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800007 (PS) (Date: 2005/10/11)
p24482
sbg8
(g9
g10
NtRp24483
(dp24484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/efd69677-27e3-46a2-a8cc-beeb804e6b96
p24485
sbg8
(g9
g10
NtRp24486
(dp24487
g13
Nsg14
g74
sg15
V2005
p24488
sbg8
(g9
g10
NtRp24489
(dp24490
g13
Nsg14
g74
sg15
V2005
p24491
sbg8
(g9
g10
NtRp24492
(dp24493
g13
Nsg14
Nsg15
VFALSE
p24494
sbg8
(g9
g10
NtRp24495
(dp24496
g13
Nsg14
Nsg15
VAntwerp|Belgium|Land use
p24497
sbg8
(g9
g10
NtRp24498
(dp24499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24500
sbg8
(g9
g10
NtRp24501
(dp24502
g13
Nsg14
Nsg15
VFALSE
p24503
sbNg8
(g9
g10
NtRp24504
(dp24505
g13
Nsg14
Nsg15
VFALSE
p24506
sbNNNNNNNg8
(g9
g10
NtRp24507
(dp24508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24509
(dp24510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24511
(dp24512
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be002l_antwerpen_2005
p24513
sbNg8
(g9
g10
NtRp24514
(dp24515
g13
Nsg14
Nsg15
Vobsolete
p24516
sbtp24517
a(g8
(g9
g10
NtRp24518
(dp24519
g13
Nsg14
Nsg15
V380c8a3d-5dad-41b8-94cf-6aecbb855fb7
p24520
sbNg8
(g9
g10
NtRp24521
(dp24522
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Katowice
p24523
sbNNNNNg8
(g9
g10
NtRp24524
(dp24525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24526
sbg8
(g23
g10
NtRp24527
(dp24528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24529
sbNg8
(g9
g10
NtRp24530
(dp24531
g13
Nsg14
Nsg15
VFALSE
p24532
sbNNNg8
(g9
g10
NtRp24533
(dp24534
g13
Nsg14
Nsg15
VFALSE
p24535
sbNNg8
(g9
g10
NtRp24536
(dp24537
g13
Nsg14
Nsg15
VFALSE
p24538
sbNNg8
(g9
g10
NtRp24539
(dp24540
g13
Nsg14
Nsg15
VFALSE
p24541
sbNg8
(g9
g10
NtRp24542
(dp24543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/380c8a3d-5dad-41b8-94cf-6aecbb855fb7.png
p24544
sbNg8
(g9
g10
NtRp24545
(dp24546
g13
Nsg14
Nsg15
V2019-06-04
p24547
sbNNg8
(g9
g10
NtRp24548
(dp24549
g13
Nsg14
Nsg15
Vland use|urban area
p24550
sbg8
(g9
g10
NtRp24551
(dp24552
g13
Nsg14
Nsg15
Vvector
p24553
sbg8
(g9
g10
NtRp24554
(dp24555
g13
Nsg14
Nsg15
VSHP
p24556
sbNg8
(g9
g10
NtRp24557
(dp24558
g13
Nsg14
Nsg15
V1:10000
p24559
sbNg8
(g9
g10
NtRp24560
(dp24561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00186550001 (XS) (Date: 2007/05/13) \u000a                      * SPOT 5 2,50 m - 00186550002 (XS) (Date: 2007/08/06) \u000a                      * SPOT 5 2,50 m - 00186550004 (XS) (Date: 2008/06/03) \u000a                      * SPOT 5 2,50 m - 00186550005 (XS) (Date: 2008/08/07) \u000a                      * SPOT 5 2,50 m - 00186550006 (P) (Date: 2007/05/13) \u000a                      * SPOT 5 2,50 m - 00186550007 (P) (Date: 2007/08/06) \u000a                      * SPOT 5 2,50 m - 00186550009 (P) (Date: 2008/06/03) \u000a                      * SPOT 5 2,50 m - 00186550010 (P) (Date: 2008/08/07)
p24562
sbg8
(g9
g10
NtRp24563
(dp24564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/380c8a3d-5dad-41b8-94cf-6aecbb855fb7
p24565
sbg8
(g9
g10
NtRp24566
(dp24567
g13
Nsg14
g74
sg15
V2007
p24568
sbg8
(g9
g10
NtRp24569
(dp24570
g13
Nsg14
g74
sg15
V2008
p24571
sbg8
(g9
g10
NtRp24572
(dp24573
g13
Nsg14
Nsg15
VTRUE
p24574
sbg8
(g9
g10
NtRp24575
(dp24576
g13
Nsg14
Nsg15
VKatowice|Land use|Poland
p24577
sbg8
(g9
g10
NtRp24578
(dp24579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24580
sbg8
(g9
g10
NtRp24581
(dp24582
g13
Nsg14
Nsg15
VFALSE
p24583
sbNg8
(g9
g10
NtRp24584
(dp24585
g13
Nsg14
Nsg15
VFALSE
p24586
sbNNNNNNNg8
(g9
g10
NtRp24587
(dp24588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24589
(dp24590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24591
(dp24592
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl010l_katowice_2007-2008
p24593
sbNg8
(g9
g10
NtRp24594
(dp24595
g13
Nsg14
Nsg15
Vobsolete
p24596
sbtp24597
a(g8
(g9
g10
NtRp24598
(dp24599
g13
Nsg14
Nsg15
Vfe58318d-c95d-441a-8e22-052c80452103
p24600
sbNg8
(g9
g10
NtRp24601
(dp24602
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Dresden
p24603
sbNNNNNg8
(g9
g10
NtRp24604
(dp24605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24606
sbg8
(g23
g10
NtRp24607
(dp24608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24609
sbNg8
(g9
g10
NtRp24610
(dp24611
g13
Nsg14
Nsg15
VFALSE
p24612
sbNNNg8
(g9
g10
NtRp24613
(dp24614
g13
Nsg14
Nsg15
VFALSE
p24615
sbNNg8
(g9
g10
NtRp24616
(dp24617
g13
Nsg14
Nsg15
VFALSE
p24618
sbNNg8
(g9
g10
NtRp24619
(dp24620
g13
Nsg14
Nsg15
VFALSE
p24621
sbNg8
(g9
g10
NtRp24622
(dp24623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe58318d-c95d-441a-8e22-052c80452103.png
p24624
sbNg8
(g9
g10
NtRp24625
(dp24626
g13
Nsg14
Nsg15
V2019-06-04
p24627
sbNNg8
(g9
g10
NtRp24628
(dp24629
g13
Nsg14
Nsg15
Vland use|urban area
p24630
sbg8
(g9
g10
NtRp24631
(dp24632
g13
Nsg14
Nsg15
Vvector
p24633
sbg8
(g9
g10
NtRp24634
(dp24635
g13
Nsg14
Nsg15
VSHP
p24636
sbNg8
(g9
g10
NtRp24637
(dp24638
g13
Nsg14
Nsg15
V1:10000
p24639
sbNg8
(g9
g10
NtRp24640
(dp24641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 0018580015 (PS) (Date: 2005/09/22) \u000a                      * SPOT 5 2,50 m - 0018580016 (PS) (Date: 2005/09/21)
p24642
sbg8
(g9
g10
NtRp24643
(dp24644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe58318d-c95d-441a-8e22-052c80452103
p24645
sbg8
(g9
g10
NtRp24646
(dp24647
g13
Nsg14
g74
sg15
V2005
p24648
sbg8
(g9
g10
NtRp24649
(dp24650
g13
Nsg14
g74
sg15
V2005
p24651
sbg8
(g9
g10
NtRp24652
(dp24653
g13
Nsg14
Nsg15
VFALSE
p24654
sbg8
(g9
g10
NtRp24655
(dp24656
g13
Nsg14
Nsg15
VDresden|Germany|Land use
p24657
sbg8
(g9
g10
NtRp24658
(dp24659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24660
sbg8
(g9
g10
NtRp24661
(dp24662
g13
Nsg14
Nsg15
VFALSE
p24663
sbNg8
(g9
g10
NtRp24664
(dp24665
g13
Nsg14
Nsg15
VFALSE
p24666
sbNNNNNNNg8
(g9
g10
NtRp24667
(dp24668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24669
(dp24670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24671
(dp24672
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-de009l_dresden_2005
p24673
sbNg8
(g9
g10
NtRp24674
(dp24675
g13
Nsg14
Nsg15
Vobsolete
p24676
sbtp24677
a(g8
(g9
g10
NtRp24678
(dp24679
g13
Nsg14
Nsg15
V2227d13e-ff88-4c78-ba05-a77dcb237471
p24680
sbNg8
(g9
g10
NtRp24681
(dp24682
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Stockholm
p24683
sbNNNNNg8
(g9
g10
NtRp24684
(dp24685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24686
sbg8
(g23
g10
NtRp24687
(dp24688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24689
sbNg8
(g9
g10
NtRp24690
(dp24691
g13
Nsg14
Nsg15
VFALSE
p24692
sbNNNg8
(g9
g10
NtRp24693
(dp24694
g13
Nsg14
Nsg15
VFALSE
p24695
sbNNg8
(g9
g10
NtRp24696
(dp24697
g13
Nsg14
Nsg15
VFALSE
p24698
sbNNg8
(g9
g10
NtRp24699
(dp24700
g13
Nsg14
Nsg15
VFALSE
p24701
sbNg8
(g9
g10
NtRp24702
(dp24703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2227d13e-ff88-4c78-ba05-a77dcb237471.png
p24704
sbNg8
(g9
g10
NtRp24705
(dp24706
g13
Nsg14
Nsg15
V2019-06-04
p24707
sbNNg8
(g9
g10
NtRp24708
(dp24709
g13
Nsg14
Nsg15
Vland use|urban area
p24710
sbg8
(g9
g10
NtRp24711
(dp24712
g13
Nsg14
Nsg15
Vvector
p24713
sbg8
(g9
g10
NtRp24714
(dp24715
g13
Nsg14
Nsg15
VSHP
p24716
sbNg8
(g9
g10
NtRp24717
(dp24718
g13
Nsg14
Nsg15
V1:10000
p24719
sbNg8
(g9
g10
NtRp24720
(dp24721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50612280909101039532J0 (XS) (Date: 2009/09/10) \u000a                      * Spot 5 10 m - 50612290910090942502J0 (XS) (Date: 2009/10/09) \u000a                      * Spot 5 10 m - 50612300909151044072J0 (XS) (Date: 2009/09/15) \u000a                      * Spot 5 10 m - 50622270908151039132J9 (XS) (Date: 2009/08/15) \u000a                      * Spot 5 10 m - 50622290910081002062J0 (XS) (Date: 2009/10/08) \u000a                      * Spot 5 10 m - 50622300906270940402J0 (XS) (Date: 2009/06/27) \u000a                      * Spot 5 2,50 m - 50612280909101039512B0 (P) (Date: 2009/09/10) \u000a                      * Spot 5 2,50 m - 50612290910090942472B0 (P) (Date: 2009/10/09) \u000a                      * Spot 5 2,50 m - 50612300909151044042B0 (P) (Date: 2009/09/15) \u000a                      * Spot 5 2,50 m - 50622270908151039102B9 (P) (Date: 2009/08/15) \u000a                      * Spot 5 2,50 m - 50622290910081002042B0 (P) (Date: 2009/10/08) \u000a                      * Spot 5 2,50 m - 50622300906270940372B0 (P) (Date: 2009/06/27) \u000a                      * ALOS 10 m - AL_AV2_X_20070811_101306_DLR_8232_PRUTM (XS) (Date: 2007/08/11) \u000a                      * ALOS 10 m - AL_AV2_X_20070811_101314_DLR_8232_PRUTM (XS) (Date: 2007/08/11) \u000a                      * ALOS 10 m - AL_AV2_X_20070811_101322_DLR_8232_PRUTM (XS) (Date: 2007/08/11) \u000a                      * ALOS 10 m - AL_AV2_X_20080727_100738_DLR_13352_PRUTM (XS) (Date: 2008/07/27) \u000a                      * ALOS 10 m - AL_AV2_X_20080727_100746_DLR_13352_PRUTM (XS) (Date: 2008/07/27) \u000a                      * ALOS 10 m - AL_AV2_X_20080727_100755_DLR_13352_PRUTM (XS) (Date: 2008/07/27) \u000a                      * ALOS 10 m - AL_AV2_X_20080727_100803_DLR_13352_PRUTM (XS) (Date: 2008/07/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101103_DLR_7313_PRUTM (P) (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101107_DLR_7313_PRUTM (P) (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101112_DLR_7313_PRUTM (P) (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101116_DLR_7313_PRUTM (P) (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101124_DLR_7313_PRUTM (P) (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101205_DLR_12506_PRUTM (P) (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101209_DLR_12506_PRUTM (P) (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080710_100543_DLR_13104_PRUTM (P) (Date: 2008/07/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080710_100547_DLR_13104_PRUTM (P) (Date: 2008/07/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090417_101609_DLR_17203_PRUTM (P) (Date: 2009/04/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090417_101613_DLR_17203_PRUTM (P) (Date: 2009/04/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090417_101617_DLR_17203_PRUTM (P) (Date: 2009/04/17)
p24722
sbg8
(g9
g10
NtRp24723
(dp24724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2227d13e-ff88-4c78-ba05-a77dcb237471
p24725
sbg8
(g9
g10
NtRp24726
(dp24727
g13
Nsg14
g74
sg15
V2007
p24728
sbg8
(g9
g10
NtRp24729
(dp24730
g13
Nsg14
g74
sg15
V2009
p24731
sbg8
(g9
g10
NtRp24732
(dp24733
g13
Nsg14
Nsg15
VTRUE
p24734
sbg8
(g9
g10
NtRp24735
(dp24736
g13
Nsg14
Nsg15
VLand use|Stockholm|Sweden
p24737
sbg8
(g9
g10
NtRp24738
(dp24739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24740
sbg8
(g9
g10
NtRp24741
(dp24742
g13
Nsg14
Nsg15
VFALSE
p24743
sbNg8
(g9
g10
NtRp24744
(dp24745
g13
Nsg14
Nsg15
VFALSE
p24746
sbNNNNNNNg8
(g9
g10
NtRp24747
(dp24748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24749
(dp24750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24751
(dp24752
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-se001l_stockholm_2007-2009
p24753
sbNg8
(g9
g10
NtRp24754
(dp24755
g13
Nsg14
Nsg15
Vobsolete
p24756
sbtp24757
a(g8
(g9
g10
NtRp24758
(dp24759
g13
Nsg14
Nsg15
V57703936-5d85-45ac-accd-d73a1ec2e1d0
p24760
sbNg8
(g9
g10
NtRp24761
(dp24762
g13
Nsg14
Nsg15
VUrban Atlas - France - Nantes
p24763
sbNNNNNg8
(g9
g10
NtRp24764
(dp24765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24766
sbg8
(g23
g10
NtRp24767
(dp24768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24769
sbNg8
(g9
g10
NtRp24770
(dp24771
g13
Nsg14
Nsg15
VFALSE
p24772
sbNNNg8
(g9
g10
NtRp24773
(dp24774
g13
Nsg14
Nsg15
VFALSE
p24775
sbNNg8
(g9
g10
NtRp24776
(dp24777
g13
Nsg14
Nsg15
VFALSE
p24778
sbNNg8
(g9
g10
NtRp24779
(dp24780
g13
Nsg14
Nsg15
VFALSE
p24781
sbNg8
(g9
g10
NtRp24782
(dp24783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/57703936-5d85-45ac-accd-d73a1ec2e1d0.png
p24784
sbNg8
(g9
g10
NtRp24785
(dp24786
g13
Nsg14
Nsg15
V2019-06-04
p24787
sbNNg8
(g9
g10
NtRp24788
(dp24789
g13
Nsg14
Nsg15
Vland use|urban area
p24790
sbg8
(g9
g10
NtRp24791
(dp24792
g13
Nsg14
Nsg15
Vvector
p24793
sbg8
(g9
g10
NtRp24794
(dp24795
g13
Nsg14
Nsg15
VSHP
p24796
sbNg8
(g9
g10
NtRp24797
(dp24798
g13
Nsg14
Nsg15
V1:10000
p24799
sbNg8
(g9
g10
NtRp24800
(dp24801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157001 (PS) (Date: 2004/05/23) \u000a                      * Spot 5 2,50 m - 00187157042 (PS) (Date: 2008/10/11)
p24802
sbg8
(g9
g10
NtRp24803
(dp24804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57703936-5d85-45ac-accd-d73a1ec2e1d0
p24805
sbg8
(g9
g10
NtRp24806
(dp24807
g13
Nsg14
g74
sg15
V2004
p24808
sbg8
(g9
g10
NtRp24809
(dp24810
g13
Nsg14
g74
sg15
V2008
p24811
sbg8
(g9
g10
NtRp24812
(dp24813
g13
Nsg14
Nsg15
VTRUE
p24814
sbg8
(g9
g10
NtRp24815
(dp24816
g13
Nsg14
Nsg15
VFrance|Land use|Nantes
p24817
sbg8
(g9
g10
NtRp24818
(dp24819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24820
sbg8
(g9
g10
NtRp24821
(dp24822
g13
Nsg14
Nsg15
VFALSE
p24823
sbNg8
(g9
g10
NtRp24824
(dp24825
g13
Nsg14
Nsg15
VFALSE
p24826
sbNNNNNNNg8
(g9
g10
NtRp24827
(dp24828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24829
(dp24830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24831
(dp24832
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-fr008l_nantes_2004-2008
p24833
sbNg8
(g9
g10
NtRp24834
(dp24835
g13
Nsg14
Nsg15
Vobsolete
p24836
sbtp24837
a(g8
(g9
g10
NtRp24838
(dp24839
g13
Nsg14
Nsg15
V1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4
p24840
sbNg8
(g9
g10
NtRp24841
(dp24842
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Apeldoorn
p24843
sbNNNNNg8
(g9
g10
NtRp24844
(dp24845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24846
sbg8
(g23
g10
NtRp24847
(dp24848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24849
sbNg8
(g9
g10
NtRp24850
(dp24851
g13
Nsg14
Nsg15
VFALSE
p24852
sbNNNg8
(g9
g10
NtRp24853
(dp24854
g13
Nsg14
Nsg15
VFALSE
p24855
sbNNg8
(g9
g10
NtRp24856
(dp24857
g13
Nsg14
Nsg15
VFALSE
p24858
sbNNg8
(g9
g10
NtRp24859
(dp24860
g13
Nsg14
Nsg15
VFALSE
p24861
sbNg8
(g9
g10
NtRp24862
(dp24863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4.png
p24864
sbNg8
(g9
g10
NtRp24865
(dp24866
g13
Nsg14
Nsg15
V2019-06-04
p24867
sbNNg8
(g9
g10
NtRp24868
(dp24869
g13
Nsg14
Nsg15
Vland use|urban area
p24870
sbg8
(g9
g10
NtRp24871
(dp24872
g13
Nsg14
Nsg15
Vvector
p24873
sbg8
(g9
g10
NtRp24874
(dp24875
g13
Nsg14
Nsg15
VSHP
p24876
sbNg8
(g9
g10
NtRp24877
(dp24878
g13
Nsg14
Nsg15
V1:10000
p24879
sbNg8
(g9
g10
NtRp24880
(dp24881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157024 (PS) (Date: 2005/10/12)
p24882
sbg8
(g9
g10
NtRp24883
(dp24884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4
p24885
sbg8
(g9
g10
NtRp24886
(dp24887
g13
Nsg14
g74
sg15
V2005
p24888
sbg8
(g9
g10
NtRp24889
(dp24890
g13
Nsg14
g74
sg15
V2005
p24891
sbg8
(g9
g10
NtRp24892
(dp24893
g13
Nsg14
Nsg15
VFALSE
p24894
sbg8
(g9
g10
NtRp24895
(dp24896
g13
Nsg14
Nsg15
VApeldoorn|Land use|Netherlands
p24897
sbg8
(g9
g10
NtRp24898
(dp24899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24900
sbg8
(g9
g10
NtRp24901
(dp24902
g13
Nsg14
Nsg15
VFALSE
p24903
sbNg8
(g9
g10
NtRp24904
(dp24905
g13
Nsg14
Nsg15
VFALSE
p24906
sbNNNNNNNg8
(g9
g10
NtRp24907
(dp24908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24909
(dp24910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24911
(dp24912
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-nl014l_apeldoorn_2005
p24913
sbNg8
(g9
g10
NtRp24914
(dp24915
g13
Nsg14
Nsg15
Vobsolete
p24916
sbtp24917
a(g8
(g9
g10
NtRp24918
(dp24919
g13
Nsg14
Nsg15
V8a340e78-576b-4623-84e6-9bcd32b7713f
p24920
sbNg8
(g9
g10
NtRp24921
(dp24922
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Braga
p24923
sbNNNNNg8
(g9
g10
NtRp24924
(dp24925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p24926
sbg8
(g23
g10
NtRp24927
(dp24928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p24929
sbNg8
(g9
g10
NtRp24930
(dp24931
g13
Nsg14
Nsg15
VFALSE
p24932
sbNNNg8
(g9
g10
NtRp24933
(dp24934
g13
Nsg14
Nsg15
VFALSE
p24935
sbNNg8
(g9
g10
NtRp24936
(dp24937
g13
Nsg14
Nsg15
VFALSE
p24938
sbNNg8
(g9
g10
NtRp24939
(dp24940
g13
Nsg14
Nsg15
VFALSE
p24941
sbNg8
(g9
g10
NtRp24942
(dp24943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a340e78-576b-4623-84e6-9bcd32b7713f.png
p24944
sbNg8
(g9
g10
NtRp24945
(dp24946
g13
Nsg14
Nsg15
V2019-06-04
p24947
sbNNg8
(g9
g10
NtRp24948
(dp24949
g13
Nsg14
Nsg15
Vland use|urban area
p24950
sbg8
(g9
g10
NtRp24951
(dp24952
g13
Nsg14
Nsg15
Vvector
p24953
sbg8
(g9
g10
NtRp24954
(dp24955
g13
Nsg14
Nsg15
VSHP
p24956
sbNg8
(g9
g10
NtRp24957
(dp24958
g13
Nsg14
Nsg15
V1:10000
p24959
sbNg8
(g9
g10
NtRp24960
(dp24961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070508_113332_DLR_6847_PREU (XS) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113332_DLR_6847_PREU (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113336_DLR_6847_PREU (P) (Date: 2007/05/08)
p24962
sbg8
(g9
g10
NtRp24963
(dp24964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a340e78-576b-4623-84e6-9bcd32b7713f
p24965
sbg8
(g9
g10
NtRp24966
(dp24967
g13
Nsg14
g74
sg15
V2007
p24968
sbg8
(g9
g10
NtRp24969
(dp24970
g13
Nsg14
g74
sg15
V2007
p24971
sbg8
(g9
g10
NtRp24972
(dp24973
g13
Nsg14
Nsg15
VFALSE
p24974
sbg8
(g9
g10
NtRp24975
(dp24976
g13
Nsg14
Nsg15
VBraga|Land use|Portugal
p24977
sbg8
(g9
g10
NtRp24978
(dp24979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p24980
sbg8
(g9
g10
NtRp24981
(dp24982
g13
Nsg14
Nsg15
VFALSE
p24983
sbNg8
(g9
g10
NtRp24984
(dp24985
g13
Nsg14
Nsg15
VFALSE
p24986
sbNNNNNNNg8
(g9
g10
NtRp24987
(dp24988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp24989
(dp24990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp24991
(dp24992
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt003l_braga_2007
p24993
sbNg8
(g9
g10
NtRp24994
(dp24995
g13
Nsg14
Nsg15
Vobsolete
p24996
sbtp24997
a(g8
(g9
g10
NtRp24998
(dp24999
g13
Nsg14
Nsg15
V6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca
p25000
sbNg8
(g9
g10
NtRp25001
(dp25002
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Essen
p25003
sbNNNNNg8
(g9
g10
NtRp25004
(dp25005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25006
sbg8
(g23
g10
NtRp25007
(dp25008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25009
sbNg8
(g9
g10
NtRp25010
(dp25011
g13
Nsg14
Nsg15
VFALSE
p25012
sbNNNg8
(g9
g10
NtRp25013
(dp25014
g13
Nsg14
Nsg15
VFALSE
p25015
sbNNg8
(g9
g10
NtRp25016
(dp25017
g13
Nsg14
Nsg15
VFALSE
p25018
sbNNg8
(g9
g10
NtRp25019
(dp25020
g13
Nsg14
Nsg15
VFALSE
p25021
sbNg8
(g9
g10
NtRp25022
(dp25023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca.png
p25024
sbNg8
(g9
g10
NtRp25025
(dp25026
g13
Nsg14
Nsg15
V2019-06-04
p25027
sbNNg8
(g9
g10
NtRp25028
(dp25029
g13
Nsg14
Nsg15
Vland use|urban area
p25030
sbg8
(g9
g10
NtRp25031
(dp25032
g13
Nsg14
Nsg15
Vvector
p25033
sbg8
(g9
g10
NtRp25034
(dp25035
g13
Nsg14
Nsg15
VSHP
p25036
sbNg8
(g9
g10
NtRp25037
(dp25038
g13
Nsg14
Nsg15
V1:10000
p25039
sbNg8
(g9
g10
NtRp25040
(dp25041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50452451005221101222B3 (PS) (Date: 2010/05/22) \u000a                      * Spot 5 2,50 m - 50462451004171034022B0 (PS) (Date: 2010/04/17) \u000a                      * Spot 5 2,50 m - 50472460908151042082B0 (PS) (Date: 2009/08/15) \u000a                      * Spot 5 2,50 m - 50492451004071026092B4 (PS) (Date: 2010/04/07)
p25042
sbg8
(g9
g10
NtRp25043
(dp25044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca
p25045
sbg8
(g9
g10
NtRp25046
(dp25047
g13
Nsg14
g74
sg15
V2009
p25048
sbg8
(g9
g10
NtRp25049
(dp25050
g13
Nsg14
g74
sg15
V2010
p25051
sbg8
(g9
g10
NtRp25052
(dp25053
g13
Nsg14
Nsg15
VTRUE
p25054
sbg8
(g9
g10
NtRp25055
(dp25056
g13
Nsg14
Nsg15
VEssen|Germany|Land use
p25057
sbg8
(g9
g10
NtRp25058
(dp25059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25060
sbg8
(g9
g10
NtRp25061
(dp25062
g13
Nsg14
Nsg15
VFALSE
p25063
sbNg8
(g9
g10
NtRp25064
(dp25065
g13
Nsg14
Nsg15
VFALSE
p25066
sbNNNNNNNg8
(g9
g10
NtRp25067
(dp25068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25069
(dp25070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25071
(dp25072
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de038l_essen_2009-2010
p25073
sbNg8
(g9
g10
NtRp25074
(dp25075
g13
Nsg14
Nsg15
Vobsolete
p25076
sbtp25077
a(g8
(g9
g10
NtRp25078
(dp25079
g13
Nsg14
Nsg15
Vf0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda
p25080
sbNg8
(g9
g10
NtRp25081
(dp25082
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Bologna
p25083
sbNNNNNg8
(g9
g10
NtRp25084
(dp25085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25086
sbg8
(g23
g10
NtRp25087
(dp25088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25089
sbNg8
(g9
g10
NtRp25090
(dp25091
g13
Nsg14
Nsg15
VFALSE
p25092
sbNNNg8
(g9
g10
NtRp25093
(dp25094
g13
Nsg14
Nsg15
VFALSE
p25095
sbNNg8
(g9
g10
NtRp25096
(dp25097
g13
Nsg14
Nsg15
VFALSE
p25098
sbNNg8
(g9
g10
NtRp25099
(dp25100
g13
Nsg14
Nsg15
VFALSE
p25101
sbNg8
(g9
g10
NtRp25102
(dp25103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda.png
p25104
sbNg8
(g9
g10
NtRp25105
(dp25106
g13
Nsg14
Nsg15
V2019-06-04
p25107
sbNNg8
(g9
g10
NtRp25108
(dp25109
g13
Nsg14
Nsg15
Vland use|urban area
p25110
sbg8
(g9
g10
NtRp25111
(dp25112
g13
Nsg14
Nsg15
Vvector
p25113
sbg8
(g9
g10
NtRp25114
(dp25115
g13
Nsg14
Nsg15
VSHP
p25116
sbNg8
(g9
g10
NtRp25117
(dp25118
g13
Nsg14
Nsg15
V1:10000
p25119
sbNg8
(g9
g10
NtRp25120
(dp25121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157003 (PS) (Date: 2005/05/30) \u000a                      * Spot 5 2,50 m - 00187157034 (PS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00187157035 (PS) (Date: 2006/08/21)
p25122
sbg8
(g9
g10
NtRp25123
(dp25124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda
p25125
sbg8
(g9
g10
NtRp25126
(dp25127
g13
Nsg14
g74
sg15
V2005
p25128
sbg8
(g9
g10
NtRp25129
(dp25130
g13
Nsg14
g74
sg15
V2006
p25131
sbg8
(g9
g10
NtRp25132
(dp25133
g13
Nsg14
Nsg15
VTRUE
p25134
sbg8
(g9
g10
NtRp25135
(dp25136
g13
Nsg14
Nsg15
VBologna|Italy|Land use
p25137
sbg8
(g9
g10
NtRp25138
(dp25139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25140
sbg8
(g9
g10
NtRp25141
(dp25142
g13
Nsg14
Nsg15
VFALSE
p25143
sbNg8
(g9
g10
NtRp25144
(dp25145
g13
Nsg14
Nsg15
VFALSE
p25146
sbNNNNNNNg8
(g9
g10
NtRp25147
(dp25148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25149
(dp25150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25151
(dp25152
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it009l_bologna_2005-2006
p25153
sbNg8
(g9
g10
NtRp25154
(dp25155
g13
Nsg14
Nsg15
Vobsolete
p25156
sbtp25157
a(g8
(g9
g10
NtRp25158
(dp25159
g13
Nsg14
Nsg15
V18ea35d5-cab9-4da2-ace3-c68012549dcc
p25160
sbNg8
(g9
g10
NtRp25161
(dp25162
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Kingston upon Hull
p25163
sbNNNNNg8
(g9
g10
NtRp25164
(dp25165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25166
sbg8
(g23
g10
NtRp25167
(dp25168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25169
sbNg8
(g9
g10
NtRp25170
(dp25171
g13
Nsg14
Nsg15
VFALSE
p25172
sbNNNg8
(g9
g10
NtRp25173
(dp25174
g13
Nsg14
Nsg15
VFALSE
p25175
sbNNg8
(g9
g10
NtRp25176
(dp25177
g13
Nsg14
Nsg15
VFALSE
p25178
sbNNg8
(g9
g10
NtRp25179
(dp25180
g13
Nsg14
Nsg15
VFALSE
p25181
sbNg8
(g9
g10
NtRp25182
(dp25183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/18ea35d5-cab9-4da2-ace3-c68012549dcc.png
p25184
sbNg8
(g9
g10
NtRp25185
(dp25186
g13
Nsg14
Nsg15
V2019-06-04
p25187
sbNNg8
(g9
g10
NtRp25188
(dp25189
g13
Nsg14
Nsg15
Vland use|urban area
p25190
sbg8
(g9
g10
NtRp25191
(dp25192
g13
Nsg14
Nsg15
Vvector
p25193
sbg8
(g9
g10
NtRp25194
(dp25195
g13
Nsg14
Nsg15
VSHP
p25196
sbNg8
(g9
g10
NtRp25197
(dp25198
g13
Nsg14
Nsg15
V1:10000
p25199
sbNg8
(g9
g10
NtRp25200
(dp25201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50292400907131115442B0 (Date: 2009/07/13) \u000a                      * Spot 5 2,50 m - 50292401003081142502B0 (Date: 2010/03/08) \u000a                      * Spot 5 2,50 m - 50292411010281144052B0 (Date: 2010/10/28) \u000a                      * Spot 5 2,50 m - 50302410911251122192B0 (Date: 2009/11/25) \u000a                      * RapidEye 5 m - 2009-05-30T115357_RE2_3A-NAC_5649179_105603 (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T115358_RE2_3A-NAC_5649174_105603 (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-31T115302_RE3_3A-NAC_5649181_105603 (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T115305_RE3_3A-NAC_5649177_105603 (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T115306_RE3_3A-NAC_5649184_105603 (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_5648814_105603 (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_5648816_105603 (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-06-24T115641_RE3_3A-NAC_5648811_105603 (Date: 2009/06/24) \u000a                      * RapidEye 5 m - 2009-06-24T115641_RE3_3A-NAC_5648818_105603 (Date: 2009/06/24) \u000a                      * RapidEye 5 m - 2009-06-24T115643_RE3_3A-NAC_5648817_105603 (Date: 2009/06/24) \u000a                      * RapidEye 5 m - 2009-06-24T115644_RE3_3A-NAC_5649173_105603 (Date: 2009/06/24) \u000a                      * RapidEye 5 m - 2009-09-09T115229_RE4_3A-NAC_5649176_105603 (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-10-08T120049_RE4_3A-NAC_5648813_105603 (Date: 2009/10/08) \u000a                      * RapidEye 5 m - 2009-10-08T120051_RE4_3A-NAC_5648819_105603 (Date: 2009/10/08) \u000a                      * RapidEye 5 m - 2009-10-08T120052_RE4_3A-NAC_5649178_105603 (Date: 2009/10/08) \u000a                      * RapidEye 5 m - 2009-10-08T120052_RE4_3A-NAC_5648743_105603 (Date: 2009/10/08)
p25202
sbg8
(g9
g10
NtRp25203
(dp25204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18ea35d5-cab9-4da2-ace3-c68012549dcc
p25205
sbg8
(g9
g10
NtRp25206
(dp25207
g13
Nsg14
g74
sg15
V2009
p25208
sbg8
(g9
g10
NtRp25209
(dp25210
g13
Nsg14
g74
sg15
V2010
p25211
sbg8
(g9
g10
NtRp25212
(dp25213
g13
Nsg14
Nsg15
VTRUE
p25214
sbg8
(g9
g10
NtRp25215
(dp25216
g13
Nsg14
Nsg15
VKingston upon Hull|Land use|United Kingdom
p25217
sbg8
(g9
g10
NtRp25218
(dp25219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25220
sbg8
(g9
g10
NtRp25221
(dp25222
g13
Nsg14
Nsg15
VFALSE
p25223
sbNg8
(g9
g10
NtRp25224
(dp25225
g13
Nsg14
Nsg15
VFALSE
p25226
sbNNNNNNNg8
(g9
g10
NtRp25227
(dp25228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25229
(dp25230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25231
(dp25232
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk026l_kingston_upon_hull_2009-2010
p25233
sbNg8
(g9
g10
NtRp25234
(dp25235
g13
Nsg14
Nsg15
Vobsolete
p25236
sbtp25237
a(g8
(g9
g10
NtRp25238
(dp25239
g13
Nsg14
Nsg15
V94593aef-f91d-4605-8b20-84a2e08f0425
p25240
sbNg8
(g9
g10
NtRp25241
(dp25242
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Padua (Padova)
p25243
sbNNNNNg8
(g9
g10
NtRp25244
(dp25245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25246
sbg8
(g23
g10
NtRp25247
(dp25248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25249
sbNg8
(g9
g10
NtRp25250
(dp25251
g13
Nsg14
Nsg15
VFALSE
p25252
sbNNNg8
(g9
g10
NtRp25253
(dp25254
g13
Nsg14
Nsg15
VFALSE
p25255
sbNNg8
(g9
g10
NtRp25256
(dp25257
g13
Nsg14
Nsg15
VFALSE
p25258
sbNNg8
(g9
g10
NtRp25259
(dp25260
g13
Nsg14
Nsg15
VFALSE
p25261
sbNg8
(g9
g10
NtRp25262
(dp25263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94593aef-f91d-4605-8b20-84a2e08f0425.png
p25264
sbNg8
(g9
g10
NtRp25265
(dp25266
g13
Nsg14
Nsg15
V2019-06-04
p25267
sbNNg8
(g9
g10
NtRp25268
(dp25269
g13
Nsg14
Nsg15
Vland use|urban area
p25270
sbg8
(g9
g10
NtRp25271
(dp25272
g13
Nsg14
Nsg15
Vvector
p25273
sbg8
(g9
g10
NtRp25274
(dp25275
g13
Nsg14
Nsg15
VSHP
p25276
sbNg8
(g9
g10
NtRp25277
(dp25278
g13
Nsg14
Nsg15
V1:10000
p25279
sbNg8
(g9
g10
NtRp25280
(dp25281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157002 (PS) (Date: 2005/05/30) \u000a                      * Spot 5 2,50 m - 00187157005 (PS) (Date: 2005/06/16)
p25282
sbg8
(g9
g10
NtRp25283
(dp25284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94593aef-f91d-4605-8b20-84a2e08f0425
p25285
sbg8
(g9
g10
NtRp25286
(dp25287
g13
Nsg14
g74
sg15
V2005
p25288
sbg8
(g9
g10
NtRp25289
(dp25290
g13
Nsg14
g74
sg15
V2005
p25291
sbg8
(g9
g10
NtRp25292
(dp25293
g13
Nsg14
Nsg15
VFALSE
p25294
sbg8
(g9
g10
NtRp25295
(dp25296
g13
Nsg14
Nsg15
VItaly|Land use|Padua
p25297
sbg8
(g9
g10
NtRp25298
(dp25299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25300
sbg8
(g9
g10
NtRp25301
(dp25302
g13
Nsg14
Nsg15
VFALSE
p25303
sbNg8
(g9
g10
NtRp25304
(dp25305
g13
Nsg14
Nsg15
VFALSE
p25306
sbNNNNNNNg8
(g9
g10
NtRp25307
(dp25308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25309
(dp25310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25311
(dp25312
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it028l_padova_2005
p25313
sbNg8
(g9
g10
NtRp25314
(dp25315
g13
Nsg14
Nsg15
Vobsolete
p25316
sbtp25317
a(g8
(g9
g10
NtRp25318
(dp25319
g13
Nsg14
Nsg15
V38de05c8-2dd7-4e95-881b-1aea08cd0017
p25320
sbNg8
(g9
g10
NtRp25321
(dp25322
g13
Nsg14
Nsg15
VUrban Atlas - France - Rennes
p25323
sbNNNNNg8
(g9
g10
NtRp25324
(dp25325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25326
sbg8
(g23
g10
NtRp25327
(dp25328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25329
sbNg8
(g9
g10
NtRp25330
(dp25331
g13
Nsg14
Nsg15
VFALSE
p25332
sbNNNg8
(g9
g10
NtRp25333
(dp25334
g13
Nsg14
Nsg15
VFALSE
p25335
sbNNg8
(g9
g10
NtRp25336
(dp25337
g13
Nsg14
Nsg15
VFALSE
p25338
sbNNg8
(g9
g10
NtRp25339
(dp25340
g13
Nsg14
Nsg15
VFALSE
p25341
sbNg8
(g9
g10
NtRp25342
(dp25343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/38de05c8-2dd7-4e95-881b-1aea08cd0017.png
p25344
sbNg8
(g9
g10
NtRp25345
(dp25346
g13
Nsg14
Nsg15
V2019-06-04
p25347
sbNNg8
(g9
g10
NtRp25348
(dp25349
g13
Nsg14
Nsg15
Vland use|urban area
p25350
sbg8
(g9
g10
NtRp25351
(dp25352
g13
Nsg14
Nsg15
Vvector
p25353
sbg8
(g9
g10
NtRp25354
(dp25355
g13
Nsg14
Nsg15
VSHP
p25356
sbNg8
(g9
g10
NtRp25357
(dp25358
g13
Nsg14
Nsg15
V1:10000
p25359
sbNg8
(g9
g10
NtRp25360
(dp25361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157006 (PS) (Date: 2005/07/12) \u000a                      * Spot 5 2,50 m - 00187157007 (PS) (Date: 2005/07/12) \u000a                      * Spot 5 2,50 m - 00187157017 (PS) (Date: 2005/09/19)
p25362
sbg8
(g9
g10
NtRp25363
(dp25364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38de05c8-2dd7-4e95-881b-1aea08cd0017
p25365
sbg8
(g9
g10
NtRp25366
(dp25367
g13
Nsg14
g74
sg15
V2005
p25368
sbg8
(g9
g10
NtRp25369
(dp25370
g13
Nsg14
g74
sg15
V2005
p25371
sbg8
(g9
g10
NtRp25372
(dp25373
g13
Nsg14
Nsg15
VFALSE
p25374
sbg8
(g9
g10
NtRp25375
(dp25376
g13
Nsg14
Nsg15
VFrance|Land use|Rennes
p25377
sbg8
(g9
g10
NtRp25378
(dp25379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25380
sbg8
(g9
g10
NtRp25381
(dp25382
g13
Nsg14
Nsg15
VFALSE
p25383
sbNg8
(g9
g10
NtRp25384
(dp25385
g13
Nsg14
Nsg15
VFALSE
p25386
sbNNNNNNNg8
(g9
g10
NtRp25387
(dp25388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25389
(dp25390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25391
(dp25392
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-fr013l_rennes_2005
p25393
sbNg8
(g9
g10
NtRp25394
(dp25395
g13
Nsg14
Nsg15
Vobsolete
p25396
sbtp25397
a(g8
(g9
g10
NtRp25398
(dp25399
g13
Nsg14
Nsg15
V5919ecf1-52f9-4f2c-bbbb-1320a9ced218
p25400
sbNg8
(g9
g10
NtRp25401
(dp25402
g13
Nsg14
Nsg15
VUrban Atlas - Ireland - Waterford (Port Láirge)
p25403
sbNNNNNg8
(g9
g10
NtRp25404
(dp25405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25406
sbg8
(g23
g10
NtRp25407
(dp25408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25409
sbNg8
(g9
g10
NtRp25410
(dp25411
g13
Nsg14
Nsg15
VFALSE
p25412
sbNNNg8
(g9
g10
NtRp25413
(dp25414
g13
Nsg14
Nsg15
VFALSE
p25415
sbNNg8
(g9
g10
NtRp25416
(dp25417
g13
Nsg14
Nsg15
VFALSE
p25418
sbNNg8
(g9
g10
NtRp25419
(dp25420
g13
Nsg14
Nsg15
VFALSE
p25421
sbNg8
(g9
g10
NtRp25422
(dp25423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5919ecf1-52f9-4f2c-bbbb-1320a9ced218.png
p25424
sbNg8
(g9
g10
NtRp25425
(dp25426
g13
Nsg14
Nsg15
V2019-06-04
p25427
sbNNg8
(g9
g10
NtRp25428
(dp25429
g13
Nsg14
Nsg15
Vland use|urban area
p25430
sbg8
(g9
g10
NtRp25431
(dp25432
g13
Nsg14
Nsg15
Vvector
p25433
sbg8
(g9
g10
NtRp25434
(dp25435
g13
Nsg14
Nsg15
VSHP
p25436
sbNg8
(g9
g10
NtRp25437
(dp25438
g13
Nsg14
Nsg15
V1:10000
p25439
sbNg8
(g9
g10
NtRp25440
(dp25441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50172440909121144462B0 (PS) (Date: 2006/06/03)
p25442
sbg8
(g9
g10
NtRp25443
(dp25444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5919ecf1-52f9-4f2c-bbbb-1320a9ced218
p25445
sbg8
(g9
g10
NtRp25446
(dp25447
g13
Nsg14
g74
sg15
V2006
p25448
sbg8
(g9
g10
NtRp25449
(dp25450
g13
Nsg14
g74
sg15
V2006
p25451
sbg8
(g9
g10
NtRp25452
(dp25453
g13
Nsg14
Nsg15
VFALSE
p25454
sbg8
(g9
g10
NtRp25455
(dp25456
g13
Nsg14
Nsg15
VIreland|Land use|Waterford
p25457
sbg8
(g9
g10
NtRp25458
(dp25459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25460
sbg8
(g9
g10
NtRp25461
(dp25462
g13
Nsg14
Nsg15
VFALSE
p25463
sbNg8
(g9
g10
NtRp25464
(dp25465
g13
Nsg14
Nsg15
VFALSE
p25466
sbNNNNNNNg8
(g9
g10
NtRp25467
(dp25468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25469
(dp25470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25471
(dp25472
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-ie005c_waterford_2006
p25473
sbNg8
(g9
g10
NtRp25474
(dp25475
g13
Nsg14
Nsg15
Vobsolete
p25476
sbtp25477
a(g8
(g9
g10
NtRp25478
(dp25479
g13
Nsg14
Nsg15
Vffd676e8-b6e1-427d-8849-9ae3c1c8847c
p25480
sbNg8
(g9
g10
NtRp25481
(dp25482
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Bucharest (Bucure\u015fti)
p25483
sbNNNNNg8
(g9
g10
NtRp25484
(dp25485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25486
sbg8
(g23
g10
NtRp25487
(dp25488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25489
sbNg8
(g9
g10
NtRp25490
(dp25491
g13
Nsg14
Nsg15
VFALSE
p25492
sbNNNg8
(g9
g10
NtRp25493
(dp25494
g13
Nsg14
Nsg15
VFALSE
p25495
sbNNg8
(g9
g10
NtRp25496
(dp25497
g13
Nsg14
Nsg15
VFALSE
p25498
sbNNg8
(g9
g10
NtRp25499
(dp25500
g13
Nsg14
Nsg15
VFALSE
p25501
sbNg8
(g9
g10
NtRp25502
(dp25503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ffd676e8-b6e1-427d-8849-9ae3c1c8847c.png
p25504
sbNg8
(g9
g10
NtRp25505
(dp25506
g13
Nsg14
Nsg15
V2019-06-04
p25507
sbNNg8
(g9
g10
NtRp25508
(dp25509
g13
Nsg14
Nsg15
Vland use|urban area
p25510
sbg8
(g9
g10
NtRp25511
(dp25512
g13
Nsg14
Nsg15
Vvector
p25513
sbg8
(g9
g10
NtRp25514
(dp25515
g13
Nsg14
Nsg15
VSHP
p25516
sbNg8
(g9
g10
NtRp25517
(dp25518
g13
Nsg14
Nsg15
V1:10000
p25519
sbNg8
(g9
g10
NtRp25520
(dp25521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784045 (XS) (Date: 2007/04/09) \u000a                      * Spot 5 2,50 m - 00182784046 (XS) (Date: 2005/08/30) \u000a                      * Spot 5 2,50 m - 00182784047 (XS) (Date: 2007/05/16) \u000a                      * Spot 5 2,50 m - 00182793045 (P) (Date: 2007/04/09) \u000a                      * Spot 5 2,50 m - 00182793046 (P) (Date: 2005/08/30) \u000a                      * Spot 5 2,50 m - 00182793047 (P) (Date: 2007/05/16)
p25522
sbg8
(g9
g10
NtRp25523
(dp25524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ffd676e8-b6e1-427d-8849-9ae3c1c8847c
p25525
sbg8
(g9
g10
NtRp25526
(dp25527
g13
Nsg14
g74
sg15
V2005
p25528
sbg8
(g9
g10
NtRp25529
(dp25530
g13
Nsg14
g74
sg15
V2007
p25531
sbg8
(g9
g10
NtRp25532
(dp25533
g13
Nsg14
Nsg15
VTRUE
p25534
sbg8
(g9
g10
NtRp25535
(dp25536
g13
Nsg14
Nsg15
VBucharest|Land use|Romania
p25537
sbg8
(g9
g10
NtRp25538
(dp25539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25540
sbg8
(g9
g10
NtRp25541
(dp25542
g13
Nsg14
Nsg15
VFALSE
p25543
sbNg8
(g9
g10
NtRp25544
(dp25545
g13
Nsg14
Nsg15
VFALSE
p25546
sbNNNNNNNg8
(g9
g10
NtRp25547
(dp25548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25549
(dp25550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25551
(dp25552
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro001l_bucuresti_2005-2007
p25553
sbNg8
(g9
g10
NtRp25554
(dp25555
g13
Nsg14
Nsg15
Vobsolete
p25556
sbtp25557
a(g8
(g9
g10
NtRp25558
(dp25559
g13
Nsg14
Nsg15
V5dd30888-595e-45a1-acb7-017f99b69988
p25560
sbNg8
(g9
g10
NtRp25561
(dp25562
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Aberdeen
p25563
sbNNNNNg8
(g9
g10
NtRp25564
(dp25565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25566
sbg8
(g23
g10
NtRp25567
(dp25568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25569
sbNg8
(g9
g10
NtRp25570
(dp25571
g13
Nsg14
Nsg15
VFALSE
p25572
sbNNNg8
(g9
g10
NtRp25573
(dp25574
g13
Nsg14
Nsg15
VFALSE
p25575
sbNNg8
(g9
g10
NtRp25576
(dp25577
g13
Nsg14
Nsg15
VFALSE
p25578
sbNNg8
(g9
g10
NtRp25579
(dp25580
g13
Nsg14
Nsg15
VFALSE
p25581
sbNg8
(g9
g10
NtRp25582
(dp25583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5dd30888-595e-45a1-acb7-017f99b69988.png
p25584
sbNg8
(g9
g10
NtRp25585
(dp25586
g13
Nsg14
Nsg15
V2019-06-04
p25587
sbNNg8
(g9
g10
NtRp25588
(dp25589
g13
Nsg14
Nsg15
Vland use|urban area
p25590
sbg8
(g9
g10
NtRp25591
(dp25592
g13
Nsg14
Nsg15
Vvector
p25593
sbg8
(g9
g10
NtRp25594
(dp25595
g13
Nsg14
Nsg15
VSHP
p25596
sbNg8
(g9
g10
NtRp25597
(dp25598
g13
Nsg14
Nsg15
V1:10000
p25599
sbNg8
(g9
g10
NtRp25600
(dp25601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50182320906251200412B0 (Date: 2009/06/25) \u000a                      * Spot 5 2,50 m - 50182330906251200472B0 (Date: 2009/06/25) \u000a                      * Spot 5 2,50 m - 50212320910291140132B0 (Date: 2009/10/29) \u000a                      * Spot 5 2,50 m - 50212330911091128572B0 (Date: 2009/11/09) \u000a                      * Spot 5 2,50 m - 50212340911091129062B0 (Date: 2009/11/09) \u000a                      * RapidEye 5 m - 2009-05-12T121414_RE2_3A-NAC_5648225_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121415_RE2_3A-NAC_5647942_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121415_RE2_3A-NAC_5648118_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121416_RE2_3A-NAC_5647939_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121417_RE2_3A-NAC_5648342_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121417_RE2_3A-NAC_5647781_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121419_RE2_3A-NAC_5647894_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121420_RE2_3A-NAC_5648224_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-12T121421_RE2_3A-NAC_5648418_105467 (Date: 2009/05/12) \u000a                      * RapidEye 5 m - 2009-05-17T121901_RE2_3A-NAC_5648421_105467 (Date: 2009/05/17) \u000a                      * RapidEye 5 m - 2009-05-17T121911_RE2_3A-NAC_5648420_105467 (Date: 2009/05/17) \u000a                      * RapidEye 5 m - 2009-05-30T121219_RE1_3A-NAC_5648123_105467 (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121222_RE1_3A-NAC_5648114_105467 (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121223_RE1_3A-NAC_5648341_105467 (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-06-25T121606_RE3_3A-NAC_5648223_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121610_RE3_3A-NAC_5648122_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121611_RE3_3A-NAC_5648117_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121613_RE3_3A-NAC_5647940_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121614_RE3_3A-NAC_5648228_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121617_RE3_3A-NAC_5648121_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121618_RE3_3A-NAC_5647941_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121621_RE3_3A-NAC_5648222_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-06-25T121622_RE3_3A-NAC_5647936_105467 (Date: 2009/06/25) \u000a                      * RapidEye 5 m - 2009-09-12T121611_RE1_3A-NAC_5648232_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121612_RE1_3A-NAC_5648231_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121613_RE1_3A-NAC_5648119_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121613_RE1_3A-NAC_5648115_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121614_RE1_3A-NAC_5648116_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121615_RE1_3A-NAC_5648343_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121616_RE1_3A-NAC_5648419_105467 (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-10-16T121002_RE2_3A-NAC_5648120_105467 (Date: 2009/10/16)
p25602
sbg8
(g9
g10
NtRp25603
(dp25604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5dd30888-595e-45a1-acb7-017f99b69988
p25605
sbg8
(g9
g10
NtRp25606
(dp25607
g13
Nsg14
g74
sg15
V2009
p25608
sbg8
(g9
g10
NtRp25609
(dp25610
g13
Nsg14
g74
sg15
V2009
p25611
sbg8
(g9
g10
NtRp25612
(dp25613
g13
Nsg14
Nsg15
VFALSE
p25614
sbg8
(g9
g10
NtRp25615
(dp25616
g13
Nsg14
Nsg15
VAberdeen|Land use|United Kingdom
p25617
sbg8
(g9
g10
NtRp25618
(dp25619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25620
sbg8
(g9
g10
NtRp25621
(dp25622
g13
Nsg14
Nsg15
VFALSE
p25623
sbNg8
(g9
g10
NtRp25624
(dp25625
g13
Nsg14
Nsg15
VFALSE
p25626
sbNNNNNNNg8
(g9
g10
NtRp25627
(dp25628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25629
(dp25630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25631
(dp25632
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk016l_aberdeen_2009
p25633
sbNg8
(g9
g10
NtRp25634
(dp25635
g13
Nsg14
Nsg15
Vobsolete
p25636
sbtp25637
a(g8
(g9
g10
NtRp25638
(dp25639
g13
Nsg14
Nsg15
V97435b77-4cbb-4aa8-a611-d8905b66483a
p25640
sbNg8
(g9
g10
NtRp25641
(dp25642
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Glasgow
p25643
sbNNNNNg8
(g9
g10
NtRp25644
(dp25645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25646
sbg8
(g23
g10
NtRp25647
(dp25648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25649
sbNg8
(g9
g10
NtRp25650
(dp25651
g13
Nsg14
Nsg15
VFALSE
p25652
sbNNNg8
(g9
g10
NtRp25653
(dp25654
g13
Nsg14
Nsg15
VFALSE
p25655
sbNNg8
(g9
g10
NtRp25656
(dp25657
g13
Nsg14
Nsg15
VFALSE
p25658
sbNNg8
(g9
g10
NtRp25659
(dp25660
g13
Nsg14
Nsg15
VFALSE
p25661
sbNg8
(g9
g10
NtRp25662
(dp25663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/97435b77-4cbb-4aa8-a611-d8905b66483a.png
p25664
sbNg8
(g9
g10
NtRp25665
(dp25666
g13
Nsg14
Nsg15
V2019-06-04
p25667
sbNNg8
(g9
g10
NtRp25668
(dp25669
g13
Nsg14
Nsg15
Vland use|urban area
p25670
sbg8
(g9
g10
NtRp25671
(dp25672
g13
Nsg14
Nsg15
Vvector
p25673
sbg8
(g9
g10
NtRp25674
(dp25675
g13
Nsg14
Nsg15
VSHP
p25676
sbNg8
(g9
g10
NtRp25677
(dp25678
g13
Nsg14
Nsg15
V1:10000
p25679
sbNg8
(g9
g10
NtRp25680
(dp25681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50182361009261159112B0 (PS) (Date: 2010/09/26) \u000a                      * Spot 5 2,50 m - 50212360911081148352B0 (PS) (Date: 2009/11/08) \u000a                      * Spot 5 2,50 m - 50212370911081148442B0 (PS) (Date: 2009/11/08) \u000a                      * RapidEye 5 m - 2009-05-30T121236_RE1_3A-NAC_5649383_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121237_RE1_3A -NAC_5649421_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121240_RE1_3A -NAC_5649262_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121241_RE1_3A -NAC_5649260_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121242_RE1_3A -NAC_5649520_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-05-30T121244_RE1_3A -NAC_5649263_105639 (XS) (Date: 2009/05/30) \u000a                      * RapidEye 5 m - 2009-06-29T122216_RE2_3A -NAC_5650404_105639 (XS) (Date: 2009/06/29) \u000a                      * RapidEye 5 m - 2009-08-22T121338_RE4_3A -NAC_5650333_105639 (XS) (Date: 2009/08/22) \u000a                      * RapidEye 5 m - 2009-08-22T121342_RE4_3A -NAC_5650331_105639 (XS) (Date: 2009/08/22) \u000a                      * RapidEye 5 m - 2009-08-22T121345_RE4_3A -NAC_5650330_105639 (XS) (Date: 2009/08/22) \u000a                      * RapidEye 5 m - 2009-08-22T121345_RE4_3A -NAC_5650332_105639 (XS) (Date: 2009/08/22) \u000a                      * RapidEye 5 m - 2009-09-12T121637_RE1_3A -NAC_5649384_105639 (XS) (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-09-12T121638_RE1_3A -NAC_5649522_105639 (XS) (Date: 2009/09/12) \u000a                      * RapidEye 5 m - 2009-10-16T121016_RE2_3A -NAC_5649420_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121016_RE2_3A -NAC_5649349_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121019_RE2_3A -NAC_5649519_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121020_RE2_3A -NAC_5649261_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121023_RE2_3A -NAC_5649346_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121026_RE2_3A -NAC_5649518_105639 (XS) (Date: 2009/10/16) \u000a                      * RapidEye 5 m - 2009-10-16T121027_RE2_3A -NAC_5649347_105639 (XS) (Date: 2009/10/16)
p25682
sbg8
(g9
g10
NtRp25683
(dp25684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97435b77-4cbb-4aa8-a611-d8905b66483a
p25685
sbg8
(g9
g10
NtRp25686
(dp25687
g13
Nsg14
g74
sg15
V2009
p25688
sbg8
(g9
g10
NtRp25689
(dp25690
g13
Nsg14
g74
sg15
V2010
p25691
sbg8
(g9
g10
NtRp25692
(dp25693
g13
Nsg14
Nsg15
VTRUE
p25694
sbg8
(g9
g10
NtRp25695
(dp25696
g13
Nsg14
Nsg15
VGlasgow|Land use|United Kingdom
p25697
sbg8
(g9
g10
NtRp25698
(dp25699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25700
sbg8
(g9
g10
NtRp25701
(dp25702
g13
Nsg14
Nsg15
VFALSE
p25703
sbNg8
(g9
g10
NtRp25704
(dp25705
g13
Nsg14
Nsg15
VFALSE
p25706
sbNNNNNNNg8
(g9
g10
NtRp25707
(dp25708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25709
(dp25710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25711
(dp25712
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk004l_glasgow_2009-2010
p25713
sbNg8
(g9
g10
NtRp25714
(dp25715
g13
Nsg14
Nsg15
Vobsolete
p25716
sbtp25717
a(g8
(g9
g10
NtRp25718
(dp25719
g13
Nsg14
Nsg15
V56e783e7-cdbb-42ed-8733-6425b5eba731
p25720
sbNg8
(g9
g10
NtRp25721
(dp25722
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Groningen
p25723
sbNNNNNg8
(g9
g10
NtRp25724
(dp25725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25726
sbg8
(g23
g10
NtRp25727
(dp25728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25729
sbNg8
(g9
g10
NtRp25730
(dp25731
g13
Nsg14
Nsg15
VFALSE
p25732
sbNNNg8
(g9
g10
NtRp25733
(dp25734
g13
Nsg14
Nsg15
VFALSE
p25735
sbNNg8
(g9
g10
NtRp25736
(dp25737
g13
Nsg14
Nsg15
VFALSE
p25738
sbNNg8
(g9
g10
NtRp25739
(dp25740
g13
Nsg14
Nsg15
VFALSE
p25741
sbNg8
(g9
g10
NtRp25742
(dp25743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/56e783e7-cdbb-42ed-8733-6425b5eba731.png
p25744
sbNg8
(g9
g10
NtRp25745
(dp25746
g13
Nsg14
Nsg15
V2019-06-04
p25747
sbNNg8
(g9
g10
NtRp25748
(dp25749
g13
Nsg14
Nsg15
Vland use|urban area
p25750
sbg8
(g9
g10
NtRp25751
(dp25752
g13
Nsg14
Nsg15
Vvector
p25753
sbg8
(g9
g10
NtRp25754
(dp25755
g13
Nsg14
Nsg15
VSHP
p25756
sbNg8
(g9
g10
NtRp25757
(dp25758
g13
Nsg14
Nsg15
V1:10000
p25759
sbNg8
(g9
g10
NtRp25760
(dp25761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a    * Spot 5 2,50 m	00187157020 (PS)
p25762
sbg8
(g9
g10
NtRp25763
(dp25764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56e783e7-cdbb-42ed-8733-6425b5eba731
p25765
sbg8
(g9
g10
NtRp25766
(dp25767
g13
Nsg14
g74
sg15
V2005
p25768
sbg8
(g9
g10
NtRp25769
(dp25770
g13
Nsg14
g74
sg15
V2005
p25771
sbg8
(g9
g10
NtRp25772
(dp25773
g13
Nsg14
Nsg15
VFALSE
p25774
sbg8
(g9
g10
NtRp25775
(dp25776
g13
Nsg14
Nsg15
VGroningen|Land use|Netherlands
p25777
sbg8
(g9
g10
NtRp25778
(dp25779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25780
sbg8
(g9
g10
NtRp25781
(dp25782
g13
Nsg14
Nsg15
VFALSE
p25783
sbNg8
(g9
g10
NtRp25784
(dp25785
g13
Nsg14
Nsg15
VFALSE
p25786
sbNNNNNNNg8
(g9
g10
NtRp25787
(dp25788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25789
(dp25790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25791
(dp25792
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-nl007l_groningen_2005
p25793
sbNg8
(g9
g10
NtRp25794
(dp25795
g13
Nsg14
Nsg15
Vobsolete
p25796
sbtp25797
a(g8
(g9
g10
NtRp25798
(dp25799
g13
Nsg14
Nsg15
V2bf92bd8-340a-4871-bd04-0d5602309a49
p25800
sbNg8
(g9
g10
NtRp25801
(dp25802
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Alicante
p25803
sbNNNNNg8
(g9
g10
NtRp25804
(dp25805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25806
sbg8
(g23
g10
NtRp25807
(dp25808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25809
sbNg8
(g9
g10
NtRp25810
(dp25811
g13
Nsg14
Nsg15
VFALSE
p25812
sbNNNg8
(g9
g10
NtRp25813
(dp25814
g13
Nsg14
Nsg15
VFALSE
p25815
sbNNg8
(g9
g10
NtRp25816
(dp25817
g13
Nsg14
Nsg15
VFALSE
p25818
sbNNg8
(g9
g10
NtRp25819
(dp25820
g13
Nsg14
Nsg15
VFALSE
p25821
sbNg8
(g9
g10
NtRp25822
(dp25823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2bf92bd8-340a-4871-bd04-0d5602309a49.png
p25824
sbNg8
(g9
g10
NtRp25825
(dp25826
g13
Nsg14
Nsg15
V2019-06-04
p25827
sbNNg8
(g9
g10
NtRp25828
(dp25829
g13
Nsg14
Nsg15
Vland use|urban area
p25830
sbg8
(g9
g10
NtRp25831
(dp25832
g13
Nsg14
Nsg15
Vvector
p25833
sbg8
(g9
g10
NtRp25834
(dp25835
g13
Nsg14
Nsg15
VSHP
p25836
sbNg8
(g9
g10
NtRp25837
(dp25838
g13
Nsg14
Nsg15
V1:10000
p25839
sbNg8
(g9
g10
NtRp25840
(dp25841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20080427_105505_DLR_12025_PRUTM (XS) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080427_105513_DLR_12025_PRUTM (XS) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105741_DLR_8670_PRUTM (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105745_DLR_8670_PRUTM (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105509_DLR_12025_PRUTM (P) (Date: 2008/04/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080427_105513_DLR_12025_PRUTM (P) (Date: 2008/04/27)
p25842
sbg8
(g9
g10
NtRp25843
(dp25844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2bf92bd8-340a-4871-bd04-0d5602309a49
p25845
sbg8
(g9
g10
NtRp25846
(dp25847
g13
Nsg14
g74
sg15
V2007
p25848
sbg8
(g9
g10
NtRp25849
(dp25850
g13
Nsg14
g74
sg15
V2008
p25851
sbg8
(g9
g10
NtRp25852
(dp25853
g13
Nsg14
Nsg15
VTRUE
p25854
sbg8
(g9
g10
NtRp25855
(dp25856
g13
Nsg14
Nsg15
VAlicante|Land use|Spain
p25857
sbg8
(g9
g10
NtRp25858
(dp25859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25860
sbg8
(g9
g10
NtRp25861
(dp25862
g13
Nsg14
Nsg15
VFALSE
p25863
sbNg8
(g9
g10
NtRp25864
(dp25865
g13
Nsg14
Nsg15
VFALSE
p25866
sbNNNNNNNg8
(g9
g10
NtRp25867
(dp25868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25869
(dp25870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25871
(dp25872
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es021l_alicante_2007-2008
p25873
sbNg8
(g9
g10
NtRp25874
(dp25875
g13
Nsg14
Nsg15
Vobsolete
p25876
sbtp25877
a(g8
(g9
g10
NtRp25878
(dp25879
g13
Nsg14
Nsg15
V49615b89-eb44-4793-8d44-3cb8e8bc048a
p25880
sbNg8
(g9
g10
NtRp25881
(dp25882
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Reggio Calabria
p25883
sbNNNNNg8
(g9
g10
NtRp25884
(dp25885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25886
sbg8
(g23
g10
NtRp25887
(dp25888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25889
sbNg8
(g9
g10
NtRp25890
(dp25891
g13
Nsg14
Nsg15
VFALSE
p25892
sbNNNg8
(g9
g10
NtRp25893
(dp25894
g13
Nsg14
Nsg15
VFALSE
p25895
sbNNg8
(g9
g10
NtRp25896
(dp25897
g13
Nsg14
Nsg15
VFALSE
p25898
sbNNg8
(g9
g10
NtRp25899
(dp25900
g13
Nsg14
Nsg15
VFALSE
p25901
sbNg8
(g9
g10
NtRp25902
(dp25903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/49615b89-eb44-4793-8d44-3cb8e8bc048a.png
p25904
sbNg8
(g9
g10
NtRp25905
(dp25906
g13
Nsg14
Nsg15
V2019-06-04
p25907
sbNNg8
(g9
g10
NtRp25908
(dp25909
g13
Nsg14
Nsg15
Vland use|urban area
p25910
sbg8
(g9
g10
NtRp25911
(dp25912
g13
Nsg14
Nsg15
Vvector
p25913
sbg8
(g9
g10
NtRp25914
(dp25915
g13
Nsg14
Nsg15
VSHP
p25916
sbNg8
(g9
g10
NtRp25917
(dp25918
g13
Nsg14
Nsg15
V1:10000
p25919
sbNg8
(g9
g10
NtRp25920
(dp25921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070606_095337_DLR_7269_PRUTM (XS) (Date: 2007/06/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070606_095337_DLR_7269_PRUTM (P) (Date: 2007/06/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070606_095341_DLR_7269_PRUTM (P) (Date: 2007/06/06)
p25922
sbg8
(g9
g10
NtRp25923
(dp25924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49615b89-eb44-4793-8d44-3cb8e8bc048a
p25925
sbg8
(g9
g10
NtRp25926
(dp25927
g13
Nsg14
g74
sg15
V2007
p25928
sbg8
(g9
g10
NtRp25929
(dp25930
g13
Nsg14
g74
sg15
V2007
p25931
sbg8
(g9
g10
NtRp25932
(dp25933
g13
Nsg14
Nsg15
VFALSE
p25934
sbg8
(g9
g10
NtRp25935
(dp25936
g13
Nsg14
Nsg15
VItaly|Land use|Reggio Calabria
p25937
sbg8
(g9
g10
NtRp25938
(dp25939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p25940
sbg8
(g9
g10
NtRp25941
(dp25942
g13
Nsg14
Nsg15
VFALSE
p25943
sbNg8
(g9
g10
NtRp25944
(dp25945
g13
Nsg14
Nsg15
VFALSE
p25946
sbNNNNNNNg8
(g9
g10
NtRp25947
(dp25948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp25949
(dp25950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp25951
(dp25952
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it025l_reggio_di_calabria_2007
p25953
sbNg8
(g9
g10
NtRp25954
(dp25955
g13
Nsg14
Nsg15
Vobsolete
p25956
sbtp25957
a(g8
(g9
g10
NtRp25958
(dp25959
g13
Nsg14
Nsg15
V223edcb2-c2a3-4702-b8b4-e02d50d930ee
p25960
sbNg8
(g9
g10
NtRp25961
(dp25962
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Budweis (\u010ceské Bud\u011bjovice)
p25963
sbNNNNNg8
(g9
g10
NtRp25964
(dp25965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p25966
sbg8
(g23
g10
NtRp25967
(dp25968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p25969
sbNg8
(g9
g10
NtRp25970
(dp25971
g13
Nsg14
Nsg15
VFALSE
p25972
sbNNNg8
(g9
g10
NtRp25973
(dp25974
g13
Nsg14
Nsg15
VFALSE
p25975
sbNNg8
(g9
g10
NtRp25976
(dp25977
g13
Nsg14
Nsg15
VFALSE
p25978
sbNNg8
(g9
g10
NtRp25979
(dp25980
g13
Nsg14
Nsg15
VFALSE
p25981
sbNg8
(g9
g10
NtRp25982
(dp25983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/223edcb2-c2a3-4702-b8b4-e02d50d930ee.png
p25984
sbNg8
(g9
g10
NtRp25985
(dp25986
g13
Nsg14
Nsg15
V2019-06-04
p25987
sbNNg8
(g9
g10
NtRp25988
(dp25989
g13
Nsg14
Nsg15
Vland use|urban area
p25990
sbg8
(g9
g10
NtRp25991
(dp25992
g13
Nsg14
Nsg15
Vvector
p25993
sbg8
(g9
g10
NtRp25994
(dp25995
g13
Nsg14
Nsg15
VSHP
p25996
sbNg8
(g9
g10
NtRp25997
(dp25998
g13
Nsg14
Nsg15
V1:10000
p25999
sbNg8
(g9
g10
NtRp26000
(dp26001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652500710151026062B9 (PS) (Date: 2007/10/15)
p26002
sbg8
(g9
g10
NtRp26003
(dp26004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/223edcb2-c2a3-4702-b8b4-e02d50d930ee
p26005
sbg8
(g9
g10
NtRp26006
(dp26007
g13
Nsg14
g74
sg15
V2007
p26008
sbg8
(g9
g10
NtRp26009
(dp26010
g13
Nsg14
g74
sg15
V2007
p26011
sbg8
(g9
g10
NtRp26012
(dp26013
g13
Nsg14
Nsg15
VFALSE
p26014
sbg8
(g9
g10
NtRp26015
(dp26016
g13
Nsg14
Nsg15
VBudweis|Czechia|Land use
p26017
sbg8
(g9
g10
NtRp26018
(dp26019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26020
sbg8
(g9
g10
NtRp26021
(dp26022
g13
Nsg14
Nsg15
VFALSE
p26023
sbNg8
(g9
g10
NtRp26024
(dp26025
g13
Nsg14
Nsg15
VFALSE
p26026
sbNNNNNNNg8
(g9
g10
NtRp26027
(dp26028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26029
(dp26030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26031
(dp26032
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz008l_ceske_budejovice_2007
p26033
sbNg8
(g9
g10
NtRp26034
(dp26035
g13
Nsg14
Nsg15
Vobsolete
p26036
sbtp26037
a(g8
(g9
g10
NtRp26038
(dp26039
g13
Nsg14
Nsg15
V2452125d-eeed-479b-bd73-f8ceb2528992
p26040
sbNg8
(g9
g10
NtRp26041
(dp26042
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Bremen
p26043
sbNNNNNg8
(g9
g10
NtRp26044
(dp26045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26046
sbg8
(g23
g10
NtRp26047
(dp26048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26049
sbNg8
(g9
g10
NtRp26050
(dp26051
g13
Nsg14
Nsg15
VFALSE
p26052
sbNNNg8
(g9
g10
NtRp26053
(dp26054
g13
Nsg14
Nsg15
VFALSE
p26055
sbNNg8
(g9
g10
NtRp26056
(dp26057
g13
Nsg14
Nsg15
VFALSE
p26058
sbNNg8
(g9
g10
NtRp26059
(dp26060
g13
Nsg14
Nsg15
VFALSE
p26061
sbNg8
(g9
g10
NtRp26062
(dp26063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2452125d-eeed-479b-bd73-f8ceb2528992.png
p26064
sbNg8
(g9
g10
NtRp26065
(dp26066
g13
Nsg14
Nsg15
V2019-06-04
p26067
sbNNg8
(g9
g10
NtRp26068
(dp26069
g13
Nsg14
Nsg15
Vland use|urban area
p26070
sbg8
(g9
g10
NtRp26071
(dp26072
g13
Nsg14
Nsg15
Vvector
p26073
sbg8
(g9
g10
NtRp26074
(dp26075
g13
Nsg14
Nsg15
VSHP
p26076
sbNg8
(g9
g10
NtRp26077
(dp26078
g13
Nsg14
Nsg15
V1:10000
p26079
sbNg8
(g9
g10
NtRp26080
(dp26081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538020 (PS) (Date: 2005/10/06) \u000a                      * Spot 5 2,50 m - 00183538022 (PS) (Date: 2005/10/11) \u000a                      * Spot 5 2,50 m - 00183538028 (PS) (Date: 2006/07/13) \u000a                      * Spot 5 2,50 m - 00183538030 (PS) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00183538031 (PS) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00183538040 (PS) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 00183538041 (PS) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 00183756029 (PS) (Date: 2006/07/13)
p26082
sbg8
(g9
g10
NtRp26083
(dp26084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2452125d-eeed-479b-bd73-f8ceb2528992
p26085
sbg8
(g9
g10
NtRp26086
(dp26087
g13
Nsg14
g74
sg15
V2005
p26088
sbg8
(g9
g10
NtRp26089
(dp26090
g13
Nsg14
g74
sg15
V2006
p26091
sbg8
(g9
g10
NtRp26092
(dp26093
g13
Nsg14
Nsg15
VTRUE
p26094
sbg8
(g9
g10
NtRp26095
(dp26096
g13
Nsg14
Nsg15
VBremen|Germany|Land use
p26097
sbg8
(g9
g10
NtRp26098
(dp26099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26100
sbg8
(g9
g10
NtRp26101
(dp26102
g13
Nsg14
Nsg15
VFALSE
p26103
sbNg8
(g9
g10
NtRp26104
(dp26105
g13
Nsg14
Nsg15
VFALSE
p26106
sbNNNNNNNg8
(g9
g10
NtRp26107
(dp26108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26109
(dp26110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26111
(dp26112
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de012l_bremen_2005-2006
p26113
sbNg8
(g9
g10
NtRp26114
(dp26115
g13
Nsg14
Nsg15
Vobsolete
p26116
sbtp26117
a(g8
(g9
g10
NtRp26118
(dp26119
g13
Nsg14
Nsg15
V80dabd69-ad4e-49b9-88f7-a8745e606d61
p26120
sbNg8
(g9
g10
NtRp26121
(dp26122
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Regensburg
p26123
sbNNNNNg8
(g9
g10
NtRp26124
(dp26125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26126
sbg8
(g23
g10
NtRp26127
(dp26128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26129
sbNg8
(g9
g10
NtRp26130
(dp26131
g13
Nsg14
Nsg15
VFALSE
p26132
sbNNNg8
(g9
g10
NtRp26133
(dp26134
g13
Nsg14
Nsg15
VFALSE
p26135
sbNNg8
(g9
g10
NtRp26136
(dp26137
g13
Nsg14
Nsg15
VFALSE
p26138
sbNNg8
(g9
g10
NtRp26139
(dp26140
g13
Nsg14
Nsg15
VFALSE
p26141
sbNg8
(g9
g10
NtRp26142
(dp26143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/80dabd69-ad4e-49b9-88f7-a8745e606d61.png
p26144
sbNg8
(g9
g10
NtRp26145
(dp26146
g13
Nsg14
Nsg15
V2019-06-04
p26147
sbNNg8
(g9
g10
NtRp26148
(dp26149
g13
Nsg14
Nsg15
Vland use|urban area
p26150
sbg8
(g9
g10
NtRp26151
(dp26152
g13
Nsg14
Nsg15
Vvector
p26153
sbg8
(g9
g10
NtRp26154
(dp26155
g13
Nsg14
Nsg15
VSHP
p26156
sbNg8
(g9
g10
NtRp26157
(dp26158
g13
Nsg14
Nsg15
V1:10000
p26159
sbNg8
(g9
g10
NtRp26160
(dp26161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50592500504231036461B1 (PS) (Date: 2005/04/23) \u000a                      * Spot 5 2,50 m - 50592510609251034321B0 (PS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 50592520609251034411B0 (PS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 50602510509051038501B0 (PS) (Date: 2005/09/05) \u000a                      * Spot 5 2,50 m - 50602520610111026582B0 (PS) (Date: 2006/10/11) \u000a                      * RapidEye 5 m - 2009-07-27T105412_RE1_3A-NAC_6204358_110223 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105415_RE1_3A-NAC_6300639_110223 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105416_RE1_3A-NAC_6204349_110223 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105419_RE1_3A-NAC_6204351_110223 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105422_RE1_3A-NAC_6204353_110223 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-09-09T105749_RE2_3A-NAC_6204345_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105749_RE2_3A-NAC_6204356_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105751_RE2_3A-NAC_6204348_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105752_RE2_3A-NAC_6204354_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105752_RE2_3A-NAC_6300638_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105755_RE2_3A-NAC_6204364_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105756_RE2_3A-NAC_6204346_110223 (XS) (Date: 2009/09/09) \u000a                      * RapidEye 5 m - 2009-09-09T105756_RE2_3A-NAC_6204295_110223 (XS) (Date: 2009/09/09)
p26162
sbg8
(g9
g10
NtRp26163
(dp26164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80dabd69-ad4e-49b9-88f7-a8745e606d61
p26165
sbg8
(g9
g10
NtRp26166
(dp26167
g13
Nsg14
g74
sg15
V2005
p26168
sbg8
(g9
g10
NtRp26169
(dp26170
g13
Nsg14
g74
sg15
V2009
p26171
sbg8
(g9
g10
NtRp26172
(dp26173
g13
Nsg14
Nsg15
VTRUE
p26174
sbg8
(g9
g10
NtRp26175
(dp26176
g13
Nsg14
Nsg15
VGermany|Land use|Regensburg
p26177
sbg8
(g9
g10
NtRp26178
(dp26179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26180
sbg8
(g9
g10
NtRp26181
(dp26182
g13
Nsg14
Nsg15
VFALSE
p26183
sbNg8
(g9
g10
NtRp26184
(dp26185
g13
Nsg14
Nsg15
VFALSE
p26186
sbNNNNNNNg8
(g9
g10
NtRp26187
(dp26188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26189
(dp26190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26191
(dp26192
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de028l_regensburg_2005-2009
p26193
sbNg8
(g9
g10
NtRp26194
(dp26195
g13
Nsg14
Nsg15
Vobsolete
p26196
sbtp26197
a(g8
(g9
g10
NtRp26198
(dp26199
g13
Nsg14
Nsg15
Ve0b437a8-fbd6-4d32-a250-3ec66ad93fa1
p26200
sbNg8
(g9
g10
NtRp26201
(dp26202
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Faro
p26203
sbNNNNNg8
(g9
g10
NtRp26204
(dp26205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26206
sbg8
(g23
g10
NtRp26207
(dp26208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26209
sbNg8
(g9
g10
NtRp26210
(dp26211
g13
Nsg14
Nsg15
VFALSE
p26212
sbNNNg8
(g9
g10
NtRp26213
(dp26214
g13
Nsg14
Nsg15
VFALSE
p26215
sbNNg8
(g9
g10
NtRp26216
(dp26217
g13
Nsg14
Nsg15
VFALSE
p26218
sbNNg8
(g9
g10
NtRp26219
(dp26220
g13
Nsg14
Nsg15
VFALSE
p26221
sbNg8
(g9
g10
NtRp26222
(dp26223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e0b437a8-fbd6-4d32-a250-3ec66ad93fa1.png
p26224
sbNg8
(g9
g10
NtRp26225
(dp26226
g13
Nsg14
Nsg15
V2019-06-04
p26227
sbNNg8
(g9
g10
NtRp26228
(dp26229
g13
Nsg14
Nsg15
Vland use|urban area
p26230
sbg8
(g9
g10
NtRp26231
(dp26232
g13
Nsg14
Nsg15
Vvector
p26233
sbg8
(g9
g10
NtRp26234
(dp26235
g13
Nsg14
Nsg15
VSHP
p26236
sbNg8
(g9
g10
NtRp26237
(dp26238
g13
Nsg14
Nsg15
V1:10000
p26239
sbNg8
(g9
g10
NtRp26240
(dp26241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070725_115544_DLR_7985_PRUTM (XS) (Date: 2007/07/25) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061014_112512_DLR_3842_PRUTM (P) (Date: 2006/10/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070601_112611_DLR_7197_PRUTM (P) (Date: 2007/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070601_112615_DLR_7197_PRUTM (P) (Date: 2007/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070717_112607_DLR_7868_PRUTM (P) (Date: 2007/07/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070717_112611_DLR_7868_PRUTM (P) (Date: 2007/07/17)
p26242
sbg8
(g9
g10
NtRp26243
(dp26244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e0b437a8-fbd6-4d32-a250-3ec66ad93fa1
p26245
sbg8
(g9
g10
NtRp26246
(dp26247
g13
Nsg14
g74
sg15
V2006
p26248
sbg8
(g9
g10
NtRp26249
(dp26250
g13
Nsg14
g74
sg15
V2007
p26251
sbg8
(g9
g10
NtRp26252
(dp26253
g13
Nsg14
Nsg15
VTRUE
p26254
sbg8
(g9
g10
NtRp26255
(dp26256
g13
Nsg14
Nsg15
VFaro|Land use|Portugal
p26257
sbg8
(g9
g10
NtRp26258
(dp26259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26260
sbg8
(g9
g10
NtRp26261
(dp26262
g13
Nsg14
Nsg15
VFALSE
p26263
sbNg8
(g9
g10
NtRp26264
(dp26265
g13
Nsg14
Nsg15
VFALSE
p26266
sbNNNNNNNg8
(g9
g10
NtRp26267
(dp26268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26269
(dp26270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26271
(dp26272
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt009l_faro_2006-2007
p26273
sbNg8
(g9
g10
NtRp26274
(dp26275
g13
Nsg14
Nsg15
Vobsolete
p26276
sbtp26277
a(g8
(g9
g10
NtRp26278
(dp26279
g13
Nsg14
Nsg15
Va676ef25-3ad8-4626-b904-74303d34bdd0
p26280
sbNg8
(g9
g10
NtRp26281
(dp26282
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Cagliari
p26283
sbNNNNNg8
(g9
g10
NtRp26284
(dp26285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26286
sbg8
(g23
g10
NtRp26287
(dp26288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26289
sbNg8
(g9
g10
NtRp26290
(dp26291
g13
Nsg14
Nsg15
VFALSE
p26292
sbNNNg8
(g9
g10
NtRp26293
(dp26294
g13
Nsg14
Nsg15
VFALSE
p26295
sbNNg8
(g9
g10
NtRp26296
(dp26297
g13
Nsg14
Nsg15
VFALSE
p26298
sbNNg8
(g9
g10
NtRp26299
(dp26300
g13
Nsg14
Nsg15
VFALSE
p26301
sbNg8
(g9
g10
NtRp26302
(dp26303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a676ef25-3ad8-4626-b904-74303d34bdd0.png
p26304
sbNg8
(g9
g10
NtRp26305
(dp26306
g13
Nsg14
Nsg15
V2019-06-04
p26307
sbNNg8
(g9
g10
NtRp26308
(dp26309
g13
Nsg14
Nsg15
Vland use|urban area
p26310
sbg8
(g9
g10
NtRp26311
(dp26312
g13
Nsg14
Nsg15
Vvector
p26313
sbg8
(g9
g10
NtRp26314
(dp26315
g13
Nsg14
Nsg15
VSHP
p26316
sbNg8
(g9
g10
NtRp26317
(dp26318
g13
Nsg14
Nsg15
V1:10000
p26319
sbNg8
(g9
g10
NtRp26320
(dp26321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394019 (PS) (Date: 2006/05/14) \u000a                      * Spot 5 2,50 m - 00186394033 (PS) (Date: 2006/08/31)
p26322
sbg8
(g9
g10
NtRp26323
(dp26324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a676ef25-3ad8-4626-b904-74303d34bdd0
p26325
sbg8
(g9
g10
NtRp26326
(dp26327
g13
Nsg14
g74
sg15
V2006
p26328
sbg8
(g9
g10
NtRp26329
(dp26330
g13
Nsg14
g74
sg15
V2006
p26331
sbg8
(g9
g10
NtRp26332
(dp26333
g13
Nsg14
Nsg15
VFALSE
p26334
sbg8
(g9
g10
NtRp26335
(dp26336
g13
Nsg14
Nsg15
VCagliari|Italy|Land use
p26337
sbg8
(g9
g10
NtRp26338
(dp26339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26340
sbg8
(g9
g10
NtRp26341
(dp26342
g13
Nsg14
Nsg15
VFALSE
p26343
sbNg8
(g9
g10
NtRp26344
(dp26345
g13
Nsg14
Nsg15
VFALSE
p26346
sbNNNNNNNg8
(g9
g10
NtRp26347
(dp26348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26349
(dp26350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26351
(dp26352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it027l_cagliari_2006
p26353
sbNg8
(g9
g10
NtRp26354
(dp26355
g13
Nsg14
Nsg15
Vobsolete
p26356
sbtp26357
a(g8
(g9
g10
NtRp26358
(dp26359
g13
Nsg14
Nsg15
V0b5d263b-1435-4f78-ae71-758da51d729d
p26360
sbNg8
(g9
g10
NtRp26361
(dp26362
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Bonn
p26363
sbNNNNNg8
(g9
g10
NtRp26364
(dp26365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26366
sbg8
(g23
g10
NtRp26367
(dp26368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26369
sbNg8
(g9
g10
NtRp26370
(dp26371
g13
Nsg14
Nsg15
VFALSE
p26372
sbNNNg8
(g9
g10
NtRp26373
(dp26374
g13
Nsg14
Nsg15
VFALSE
p26375
sbNNg8
(g9
g10
NtRp26376
(dp26377
g13
Nsg14
Nsg15
VFALSE
p26378
sbNNg8
(g9
g10
NtRp26379
(dp26380
g13
Nsg14
Nsg15
VFALSE
p26381
sbNg8
(g9
g10
NtRp26382
(dp26383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b5d263b-1435-4f78-ae71-758da51d729d.png
p26384
sbNg8
(g9
g10
NtRp26385
(dp26386
g13
Nsg14
Nsg15
V2019-06-04
p26387
sbNNg8
(g9
g10
NtRp26388
(dp26389
g13
Nsg14
Nsg15
Vland use|urban area
p26390
sbg8
(g9
g10
NtRp26391
(dp26392
g13
Nsg14
Nsg15
Vvector
p26393
sbg8
(g9
g10
NtRp26394
(dp26395
g13
Nsg14
Nsg15
VSHP
p26396
sbNg8
(g9
g10
NtRp26397
(dp26398
g13
Nsg14
Nsg15
V1:10000
p26399
sbNg8
(g9
g10
NtRp26400
(dp26401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50472471008141046422B0 (PS) (Date: 2010/0814) \u000a                      * Spot 5 2,50 m - 50482471006241026572B2 (PS) (Date: 2010/06/24) \u000a                      * ALOS 10 m - AL_AV2_X_20070716_104130_DLR_7853_PRUTM (XS) (Date: 2007/07/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070716_104138_DLR_7853_PRUTM (XS) (Date: 2007/07/16) \u000a                      * ALOS 10 m - AL_AV2_X_20080701_103555_DLR_12973_PRUTM (XS) (Date: 2008/07/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070716_104130_DLR_7853_PRUTM (P) (Date: 2007/07/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070716_104134_DLR_7853_PRUTM (P) (Date: 2007/07/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070716_104138_DLR_7853_PRUTM (P) (Date: 2007/07/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080701_103555_DLR_12973_PRUTM (P) (Date: 2008/07/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080701_103559_DLR_12973_PRUTM ((P)) (Date: 2008/07/01)
p26402
sbg8
(g9
g10
NtRp26403
(dp26404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b5d263b-1435-4f78-ae71-758da51d729d
p26405
sbg8
(g9
g10
NtRp26406
(dp26407
g13
Nsg14
g74
sg15
V2007
p26408
sbg8
(g9
g10
NtRp26409
(dp26410
g13
Nsg14
g74
sg15
V2010
p26411
sbg8
(g9
g10
NtRp26412
(dp26413
g13
Nsg14
Nsg15
VTRUE
p26414
sbg8
(g9
g10
NtRp26415
(dp26416
g13
Nsg14
Nsg15
VBonn|Germany|Land use
p26417
sbg8
(g9
g10
NtRp26418
(dp26419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26420
sbg8
(g9
g10
NtRp26421
(dp26422
g13
Nsg14
Nsg15
VFALSE
p26423
sbNg8
(g9
g10
NtRp26424
(dp26425
g13
Nsg14
Nsg15
VFALSE
p26426
sbNNNNNNNg8
(g9
g10
NtRp26427
(dp26428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26429
(dp26430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26431
(dp26432
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de034l_bonn_2007-2010
p26433
sbNg8
(g9
g10
NtRp26434
(dp26435
g13
Nsg14
Nsg15
Vobsolete
p26436
sbtp26437
a(g8
(g9
g10
NtRp26438
(dp26439
g13
Nsg14
Nsg15
V1f094908-264e-434b-9d1e-a7f5511018f3
p26440
sbNg8
(g9
g10
NtRp26441
(dp26442
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Milan (Milano)
p26443
sbNNNNNg8
(g9
g10
NtRp26444
(dp26445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26446
sbg8
(g23
g10
NtRp26447
(dp26448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26449
sbNg8
(g9
g10
NtRp26450
(dp26451
g13
Nsg14
Nsg15
VFALSE
p26452
sbNNNg8
(g9
g10
NtRp26453
(dp26454
g13
Nsg14
Nsg15
VFALSE
p26455
sbNNg8
(g9
g10
NtRp26456
(dp26457
g13
Nsg14
Nsg15
VFALSE
p26458
sbNNg8
(g9
g10
NtRp26459
(dp26460
g13
Nsg14
Nsg15
VFALSE
p26461
sbNg8
(g9
g10
NtRp26462
(dp26463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f094908-264e-434b-9d1e-a7f5511018f3.png
p26464
sbNg8
(g9
g10
NtRp26465
(dp26466
g13
Nsg14
Nsg15
V2019-06-04
p26467
sbNNg8
(g9
g10
NtRp26468
(dp26469
g13
Nsg14
Nsg15
Vland use|urban area
p26470
sbg8
(g9
g10
NtRp26471
(dp26472
g13
Nsg14
Nsg15
Vvector
p26473
sbg8
(g9
g10
NtRp26474
(dp26475
g13
Nsg14
Nsg15
VSHP
p26476
sbNg8
(g9
g10
NtRp26477
(dp26478
g13
Nsg14
Nsg15
V1:10000
p26479
sbNg8
(g9
g10
NtRp26480
(dp26481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182795001 (PS) (Date: 2006/07/14)
p26482
sbg8
(g9
g10
NtRp26483
(dp26484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f094908-264e-434b-9d1e-a7f5511018f3
p26485
sbg8
(g9
g10
NtRp26486
(dp26487
g13
Nsg14
g74
sg15
V2006
p26488
sbg8
(g9
g10
NtRp26489
(dp26490
g13
Nsg14
g74
sg15
V2006
p26491
sbg8
(g9
g10
NtRp26492
(dp26493
g13
Nsg14
Nsg15
VFALSE
p26494
sbg8
(g9
g10
NtRp26495
(dp26496
g13
Nsg14
Nsg15
VItaly|Land use|Milan
p26497
sbg8
(g9
g10
NtRp26498
(dp26499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26500
sbg8
(g9
g10
NtRp26501
(dp26502
g13
Nsg14
Nsg15
VFALSE
p26503
sbNg8
(g9
g10
NtRp26504
(dp26505
g13
Nsg14
Nsg15
VFALSE
p26506
sbNNNNNNNg8
(g9
g10
NtRp26507
(dp26508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26509
(dp26510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26511
(dp26512
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it002l_milano_2006
p26513
sbNg8
(g9
g10
NtRp26514
(dp26515
g13
Nsg14
Nsg15
Vobsolete
p26516
sbtp26517
a(g8
(g9
g10
NtRp26518
(dp26519
g13
Nsg14
Nsg15
V5dfe40f8-6c8c-4540-bc9e-0d30327531ea
p26520
sbNg8
(g9
g10
NtRp26521
(dp26522
g13
Nsg14
Nsg15
VUrban Atlas - Finland - Oulu
p26523
sbNNNNNg8
(g9
g10
NtRp26524
(dp26525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26526
sbg8
(g23
g10
NtRp26527
(dp26528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26529
sbNg8
(g9
g10
NtRp26530
(dp26531
g13
Nsg14
Nsg15
VFALSE
p26532
sbNNNg8
(g9
g10
NtRp26533
(dp26534
g13
Nsg14
Nsg15
VFALSE
p26535
sbNNg8
(g9
g10
NtRp26536
(dp26537
g13
Nsg14
Nsg15
VFALSE
p26538
sbNNg8
(g9
g10
NtRp26539
(dp26540
g13
Nsg14
Nsg15
VFALSE
p26541
sbNg8
(g9
g10
NtRp26542
(dp26543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5dfe40f8-6c8c-4540-bc9e-0d30327531ea.png
p26544
sbNg8
(g9
g10
NtRp26545
(dp26546
g13
Nsg14
Nsg15
V2019-06-04
p26547
sbNNg8
(g9
g10
NtRp26548
(dp26549
g13
Nsg14
Nsg15
Vland use|urban area
p26550
sbg8
(g9
g10
NtRp26551
(dp26552
g13
Nsg14
Nsg15
Vvector
p26553
sbg8
(g9
g10
NtRp26554
(dp26555
g13
Nsg14
Nsg15
VSHP
p26556
sbNg8
(g9
g10
NtRp26557
(dp26558
g13
Nsg14
Nsg15
V1:10000
p26559
sbNg8
(g9
g10
NtRp26560
(dp26561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - s5_065215_060810_1T (PS) (Date: 2006/08/10) \u000a                      * Spot 5 2,50 m - s5_066215_060915_2T (PS) (Date: 2006/09/15) \u000a                      * Spot 5 2,50 m - s5_066216_070925_2T (PS) (Date: 2007/09/25) \u000a                      * Spot 5 2,50 m - s5_069216_060805_1T (PS) (Date: 2006/08/05)
p26562
sbg8
(g9
g10
NtRp26563
(dp26564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5dfe40f8-6c8c-4540-bc9e-0d30327531ea
p26565
sbg8
(g9
g10
NtRp26566
(dp26567
g13
Nsg14
g74
sg15
V2006
p26568
sbg8
(g9
g10
NtRp26569
(dp26570
g13
Nsg14
g74
sg15
V2007
p26571
sbg8
(g9
g10
NtRp26572
(dp26573
g13
Nsg14
Nsg15
VTRUE
p26574
sbg8
(g9
g10
NtRp26575
(dp26576
g13
Nsg14
Nsg15
VFinland|Land use|Oulu
p26577
sbg8
(g9
g10
NtRp26578
(dp26579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26580
sbg8
(g9
g10
NtRp26581
(dp26582
g13
Nsg14
Nsg15
VFALSE
p26583
sbNg8
(g9
g10
NtRp26584
(dp26585
g13
Nsg14
Nsg15
VFALSE
p26586
sbNNNNNNNg8
(g9
g10
NtRp26587
(dp26588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26589
(dp26590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26591
(dp26592
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-fi004l_oulu_2006-2007
p26593
sbNg8
(g9
g10
NtRp26594
(dp26595
g13
Nsg14
Nsg15
Vobsolete
p26596
sbtp26597
a(g8
(g9
g10
NtRp26598
(dp26599
g13
Nsg14
Nsg15
V6e910c51-9533-43a3-bebd-a59d496e02ec
p26600
sbNg8
(g9
g10
NtRp26601
(dp26602
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Logroño
p26603
sbNNNNNg8
(g9
g10
NtRp26604
(dp26605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26606
sbg8
(g23
g10
NtRp26607
(dp26608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26609
sbNg8
(g9
g10
NtRp26610
(dp26611
g13
Nsg14
Nsg15
VFALSE
p26612
sbNNNg8
(g9
g10
NtRp26613
(dp26614
g13
Nsg14
Nsg15
VFALSE
p26615
sbNNg8
(g9
g10
NtRp26616
(dp26617
g13
Nsg14
Nsg15
VFALSE
p26618
sbNNg8
(g9
g10
NtRp26619
(dp26620
g13
Nsg14
Nsg15
VFALSE
p26621
sbNg8
(g9
g10
NtRp26622
(dp26623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e910c51-9533-43a3-bebd-a59d496e02ec.png
p26624
sbNg8
(g9
g10
NtRp26625
(dp26626
g13
Nsg14
Nsg15
V2019-06-04
p26627
sbNNg8
(g9
g10
NtRp26628
(dp26629
g13
Nsg14
Nsg15
Vland use|urban area
p26630
sbg8
(g9
g10
NtRp26631
(dp26632
g13
Nsg14
Nsg15
Vvector
p26633
sbg8
(g9
g10
NtRp26634
(dp26635
g13
Nsg14
Nsg15
VSHP
p26636
sbNg8
(g9
g10
NtRp26637
(dp26638
g13
Nsg14
Nsg15
V1:10000
p26639
sbNg8
(g9
g10
NtRp26640
(dp26641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50352640508041057072B9 (PS) (Date: 2005/08/04) \u000a                      * Spot 5 2,50 m - 50352640508131123581B1 (PS) (Date: 2005/08/13) \u000a                      * Spot 5 2,50 m - 50362650712141114552B0 (PS) (Date: 2007/12/14)
p26642
sbg8
(g9
g10
NtRp26643
(dp26644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e910c51-9533-43a3-bebd-a59d496e02ec
p26645
sbg8
(g9
g10
NtRp26646
(dp26647
g13
Nsg14
g74
sg15
V2005
p26648
sbg8
(g9
g10
NtRp26649
(dp26650
g13
Nsg14
g74
sg15
V2007
p26651
sbg8
(g9
g10
NtRp26652
(dp26653
g13
Nsg14
Nsg15
VTRUE
p26654
sbg8
(g9
g10
NtRp26655
(dp26656
g13
Nsg14
Nsg15
VLand use|Logroño|Spain
p26657
sbg8
(g9
g10
NtRp26658
(dp26659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26660
sbg8
(g9
g10
NtRp26661
(dp26662
g13
Nsg14
Nsg15
VFALSE
p26663
sbNg8
(g9
g10
NtRp26664
(dp26665
g13
Nsg14
Nsg15
VFALSE
p26666
sbNNNNNNNg8
(g9
g10
NtRp26667
(dp26668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26669
(dp26670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26671
(dp26672
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es018l_logrono_2005-2007
p26673
sbNg8
(g9
g10
NtRp26674
(dp26675
g13
Nsg14
Nsg15
Vobsolete
p26676
sbtp26677
a(g8
(g9
g10
NtRp26678
(dp26679
g13
Nsg14
Nsg15
V8cfb3f63-4241-4c5f-98a2-211ddd114d53
p26680
sbNg8
(g9
g10
NtRp26681
(dp26682
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Pamplona
p26683
sbNNNNNg8
(g9
g10
NtRp26684
(dp26685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26686
sbg8
(g23
g10
NtRp26687
(dp26688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26689
sbNg8
(g9
g10
NtRp26690
(dp26691
g13
Nsg14
Nsg15
VFALSE
p26692
sbNNNg8
(g9
g10
NtRp26693
(dp26694
g13
Nsg14
Nsg15
VFALSE
p26695
sbNNg8
(g9
g10
NtRp26696
(dp26697
g13
Nsg14
Nsg15
VFALSE
p26698
sbNNg8
(g9
g10
NtRp26699
(dp26700
g13
Nsg14
Nsg15
VFALSE
p26701
sbNg8
(g9
g10
NtRp26702
(dp26703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cfb3f63-4241-4c5f-98a2-211ddd114d53.png
p26704
sbNg8
(g9
g10
NtRp26705
(dp26706
g13
Nsg14
Nsg15
V2019-06-04
p26707
sbNNg8
(g9
g10
NtRp26708
(dp26709
g13
Nsg14
Nsg15
Vland use|urban area
p26710
sbg8
(g9
g10
NtRp26711
(dp26712
g13
Nsg14
Nsg15
Vvector
p26713
sbg8
(g9
g10
NtRp26714
(dp26715
g13
Nsg14
Nsg15
VSHP
p26716
sbNg8
(g9
g10
NtRp26717
(dp26718
g13
Nsg14
Nsg15
V1:10000
p26719
sbNg8
(g9
g10
NtRp26720
(dp26721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50362630607241048121B3 (Date: 2006/07/24) \u000a                      * Spot 5 2,50 m - 50362640607241048201B3 (Date: 2006/07/24) \u000a                      * Spot 5 2,50 m - 50372630709061119112B1 (Date: 2007/09/06) \u000a                      * Spot 5 2,50 m - 50372640708171104182B9 (Date: 2007/08/17) \u000a                      * Spot 5 2,50 m - 50372640711081107132B0 (Date: 2007/11/08)
p26722
sbg8
(g9
g10
NtRp26723
(dp26724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8cfb3f63-4241-4c5f-98a2-211ddd114d53
p26725
sbg8
(g9
g10
NtRp26726
(dp26727
g13
Nsg14
g74
sg15
V2006
p26728
sbg8
(g9
g10
NtRp26729
(dp26730
g13
Nsg14
g74
sg15
V2007
p26731
sbg8
(g9
g10
NtRp26732
(dp26733
g13
Nsg14
Nsg15
VTRUE
p26734
sbg8
(g9
g10
NtRp26735
(dp26736
g13
Nsg14
Nsg15
VLand use|Pamplona|Spain
p26737
sbg8
(g9
g10
NtRp26738
(dp26739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26740
sbg8
(g9
g10
NtRp26741
(dp26742
g13
Nsg14
Nsg15
VFALSE
p26743
sbNg8
(g9
g10
NtRp26744
(dp26745
g13
Nsg14
Nsg15
VFALSE
p26746
sbNNNNNNNg8
(g9
g10
NtRp26747
(dp26748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26749
(dp26750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26751
(dp26752
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es014l_pamplona_iruna_2006-2007
p26753
sbNg8
(g9
g10
NtRp26754
(dp26755
g13
Nsg14
Nsg15
Vobsolete
p26756
sbtp26757
a(g8
(g9
g10
NtRp26758
(dp26759
g13
Nsg14
Nsg15
Vd1e09570-15de-45e3-b01a-5e77a46cf4c8
p26760
sbNg8
(g9
g10
NtRp26761
(dp26762
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Szczecin
p26763
sbNNNNNg8
(g9
g10
NtRp26764
(dp26765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26766
sbg8
(g23
g10
NtRp26767
(dp26768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26769
sbNg8
(g9
g10
NtRp26770
(dp26771
g13
Nsg14
Nsg15
VFALSE
p26772
sbNNNg8
(g9
g10
NtRp26773
(dp26774
g13
Nsg14
Nsg15
VFALSE
p26775
sbNNg8
(g9
g10
NtRp26776
(dp26777
g13
Nsg14
Nsg15
VFALSE
p26778
sbNNg8
(g9
g10
NtRp26779
(dp26780
g13
Nsg14
Nsg15
VFALSE
p26781
sbNg8
(g9
g10
NtRp26782
(dp26783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1e09570-15de-45e3-b01a-5e77a46cf4c8.png
p26784
sbNg8
(g9
g10
NtRp26785
(dp26786
g13
Nsg14
Nsg15
V2019-06-04
p26787
sbNNg8
(g9
g10
NtRp26788
(dp26789
g13
Nsg14
Nsg15
Vland use|urban area
p26790
sbg8
(g9
g10
NtRp26791
(dp26792
g13
Nsg14
Nsg15
Vvector
p26793
sbg8
(g9
g10
NtRp26794
(dp26795
g13
Nsg14
Nsg15
VSHP
p26796
sbNg8
(g9
g10
NtRp26797
(dp26798
g13
Nsg14
Nsg15
V1:10000
p26799
sbNg8
(g9
g10
NtRp26800
(dp26801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394001 (PS) (Date: 2005/04/24) \u000a                      * Spot 5 2,50 m - 00186394014 (PS) (Date: 2005/10/12) \u000a                      * Spot 5 2,50 m - 00186394023 (PS) (Date: 2006/07/04) \u000a                      * Spot 5 2,50 m - 00186394024 (PS) (Date: 2006/07/04) \u000a                      * Spot 5 2,50 m - 00186394025 (PS) (Date: 2006/07/04) \u000a                      * Spot 5 2,50 m - 00186394047 (PS) (Date: 2007/10/15)
p26802
sbg8
(g9
g10
NtRp26803
(dp26804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1e09570-15de-45e3-b01a-5e77a46cf4c8
p26805
sbg8
(g9
g10
NtRp26806
(dp26807
g13
Nsg14
g74
sg15
V2005
p26808
sbg8
(g9
g10
NtRp26809
(dp26810
g13
Nsg14
g74
sg15
V2007
p26811
sbg8
(g9
g10
NtRp26812
(dp26813
g13
Nsg14
Nsg15
VTRUE
p26814
sbg8
(g9
g10
NtRp26815
(dp26816
g13
Nsg14
Nsg15
VLand use|Poland|Szczecin
p26817
sbg8
(g9
g10
NtRp26818
(dp26819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26820
sbg8
(g9
g10
NtRp26821
(dp26822
g13
Nsg14
Nsg15
VFALSE
p26823
sbNg8
(g9
g10
NtRp26824
(dp26825
g13
Nsg14
Nsg15
VFALSE
p26826
sbNNNNNNNg8
(g9
g10
NtRp26827
(dp26828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26829
(dp26830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26831
(dp26832
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-pl007l_szczecin_2005-2007
p26833
sbNg8
(g9
g10
NtRp26834
(dp26835
g13
Nsg14
Nsg15
Vobsolete
p26836
sbtp26837
a(g8
(g9
g10
NtRp26838
(dp26839
g13
Nsg14
Nsg15
V7fb6b675-09c4-4b90-a123-4df40f64712b
p26840
sbNg8
(g9
g10
NtRp26841
(dp26842
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Potenza
p26843
sbNNNNNg8
(g9
g10
NtRp26844
(dp26845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26846
sbg8
(g23
g10
NtRp26847
(dp26848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26849
sbNg8
(g9
g10
NtRp26850
(dp26851
g13
Nsg14
Nsg15
VFALSE
p26852
sbNNNg8
(g9
g10
NtRp26853
(dp26854
g13
Nsg14
Nsg15
VFALSE
p26855
sbNNg8
(g9
g10
NtRp26856
(dp26857
g13
Nsg14
Nsg15
VFALSE
p26858
sbNNg8
(g9
g10
NtRp26859
(dp26860
g13
Nsg14
Nsg15
VFALSE
p26861
sbNg8
(g9
g10
NtRp26862
(dp26863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7fb6b675-09c4-4b90-a123-4df40f64712b.png
p26864
sbNg8
(g9
g10
NtRp26865
(dp26866
g13
Nsg14
Nsg15
V2019-06-04
p26867
sbNNg8
(g9
g10
NtRp26868
(dp26869
g13
Nsg14
Nsg15
Vland use|urban area
p26870
sbg8
(g9
g10
NtRp26871
(dp26872
g13
Nsg14
Nsg15
Vvector
p26873
sbg8
(g9
g10
NtRp26874
(dp26875
g13
Nsg14
Nsg15
VSHP
p26876
sbNg8
(g9
g10
NtRp26877
(dp26878
g13
Nsg14
Nsg15
V1:10000
p26879
sbNg8
(g9
g10
NtRp26880
(dp26881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50742680505010944531B1 (PS (Date: 2005/05/01)
p26882
sbg8
(g9
g10
NtRp26883
(dp26884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7fb6b675-09c4-4b90-a123-4df40f64712b
p26885
sbg8
(g9
g10
NtRp26886
(dp26887
g13
Nsg14
g74
sg15
V2005
p26888
sbg8
(g9
g10
NtRp26889
(dp26890
g13
Nsg14
g74
sg15
V2005
p26891
sbg8
(g9
g10
NtRp26892
(dp26893
g13
Nsg14
Nsg15
VFALSE
p26894
sbg8
(g9
g10
NtRp26895
(dp26896
g13
Nsg14
Nsg15
VItaly|Land use|Potenza
p26897
sbg8
(g9
g10
NtRp26898
(dp26899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26900
sbg8
(g9
g10
NtRp26901
(dp26902
g13
Nsg14
Nsg15
VFALSE
p26903
sbNg8
(g9
g10
NtRp26904
(dp26905
g13
Nsg14
Nsg15
VFALSE
p26906
sbNNNNNNNg8
(g9
g10
NtRp26907
(dp26908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26909
(dp26910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26911
(dp26912
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it023l_potenza_2005
p26913
sbNg8
(g9
g10
NtRp26914
(dp26915
g13
Nsg14
Nsg15
Vobsolete
p26916
sbtp26917
a(g8
(g9
g10
NtRp26918
(dp26919
g13
Nsg14
Nsg15
V9c05fd33-9b78-43ea-b50f-3c74085bfd27
p26920
sbNg8
(g9
g10
NtRp26921
(dp26922
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Ostrava
p26923
sbNNNNNg8
(g9
g10
NtRp26924
(dp26925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p26926
sbg8
(g23
g10
NtRp26927
(dp26928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p26929
sbNg8
(g9
g10
NtRp26930
(dp26931
g13
Nsg14
Nsg15
VFALSE
p26932
sbNNNg8
(g9
g10
NtRp26933
(dp26934
g13
Nsg14
Nsg15
VFALSE
p26935
sbNNg8
(g9
g10
NtRp26936
(dp26937
g13
Nsg14
Nsg15
VFALSE
p26938
sbNNg8
(g9
g10
NtRp26939
(dp26940
g13
Nsg14
Nsg15
VFALSE
p26941
sbNg8
(g9
g10
NtRp26942
(dp26943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c05fd33-9b78-43ea-b50f-3c74085bfd27.png
p26944
sbNg8
(g9
g10
NtRp26945
(dp26946
g13
Nsg14
Nsg15
V2019-06-04
p26947
sbNNg8
(g9
g10
NtRp26948
(dp26949
g13
Nsg14
Nsg15
Vland use|urban area
p26950
sbg8
(g9
g10
NtRp26951
(dp26952
g13
Nsg14
Nsg15
Vvector
p26953
sbg8
(g9
g10
NtRp26954
(dp26955
g13
Nsg14
Nsg15
VSHP
p26956
sbNg8
(g9
g10
NtRp26957
(dp26958
g13
Nsg14
Nsg15
V1:10000
p26959
sbNg8
(g9
g10
NtRp26960
(dp26961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800020 (PS) (Date: 2006/09/12) \u000a                      * Spot 5 2,50 m - 00182800028 (PS) (Date: 2007/05/13) \u000a                      * Spot 5 2,50 m - 00182800029 (PS) (Date: 2007/05/13) \u000a                      * Spot 5 2,50 m - 00182800034 (PS) (Date: 2007/07/20) \u000a                      * Spot 5 2,50 m - 00182800035 (PS) (Date: 2007/07/20)
p26962
sbg8
(g9
g10
NtRp26963
(dp26964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c05fd33-9b78-43ea-b50f-3c74085bfd27
p26965
sbg8
(g9
g10
NtRp26966
(dp26967
g13
Nsg14
g74
sg15
V2006
p26968
sbg8
(g9
g10
NtRp26969
(dp26970
g13
Nsg14
g74
sg15
V2007
p26971
sbg8
(g9
g10
NtRp26972
(dp26973
g13
Nsg14
Nsg15
VTRUE
p26974
sbg8
(g9
g10
NtRp26975
(dp26976
g13
Nsg14
Nsg15
VCzechia|Land use|Ostrava
p26977
sbg8
(g9
g10
NtRp26978
(dp26979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p26980
sbg8
(g9
g10
NtRp26981
(dp26982
g13
Nsg14
Nsg15
VFALSE
p26983
sbNg8
(g9
g10
NtRp26984
(dp26985
g13
Nsg14
Nsg15
VFALSE
p26986
sbNNNNNNNg8
(g9
g10
NtRp26987
(dp26988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp26989
(dp26990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp26991
(dp26992
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-cz003l_ostrava_2006-2007
p26993
sbNg8
(g9
g10
NtRp26994
(dp26995
g13
Nsg14
Nsg15
Vobsolete
p26996
sbtp26997
a(g8
(g9
g10
NtRp26998
(dp26999
g13
Nsg14
Nsg15
Vb49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06
p27000
sbNg8
(g9
g10
NtRp27001
(dp27002
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Ponta Delgada
p27003
sbNNNNNg8
(g9
g10
NtRp27004
(dp27005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27006
sbg8
(g23
g10
NtRp27007
(dp27008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27009
sbNg8
(g9
g10
NtRp27010
(dp27011
g13
Nsg14
Nsg15
VFALSE
p27012
sbNNNg8
(g9
g10
NtRp27013
(dp27014
g13
Nsg14
Nsg15
VFALSE
p27015
sbNNg8
(g9
g10
NtRp27016
(dp27017
g13
Nsg14
Nsg15
VFALSE
p27018
sbNNg8
(g9
g10
NtRp27019
(dp27020
g13
Nsg14
Nsg15
VFALSE
p27021
sbNg8
(g9
g10
NtRp27022
(dp27023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06.png
p27024
sbNg8
(g9
g10
NtRp27025
(dp27026
g13
Nsg14
Nsg15
V2019-06-04
p27027
sbNNg8
(g9
g10
NtRp27028
(dp27029
g13
Nsg14
Nsg15
Vland use|urban area
p27030
sbg8
(g9
g10
NtRp27031
(dp27032
g13
Nsg14
Nsg15
Vvector
p27033
sbg8
(g9
g10
NtRp27034
(dp27035
g13
Nsg14
Nsg15
VSHP
p27036
sbNg8
(g9
g10
NtRp27037
(dp27038
g13
Nsg14
Nsg15
V1:10000
p27039
sbNg8
(g9
g10
NtRp27040
(dp27041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * QuickBird 2,50 m - QB02_BGI_PM4_SO_20050211T123651_20050211T123655_USA_0_0000.TIFF (PS) (Date: 2005/02/11) \u000a                      * QuickBird 2,50 m - QB02_BGI_PM4_SO_20070112T124615_20070112T124619_USA_0_0000.TIFF (PS) (Date: 2007/01/12) \u000a                      * QuickBird 2,50 m - QB02_BGI_PM4_SO_20070729T125017_20070729T125021_USA_0_0000.TIFF (PS) (Date: 2007/07/29)
p27042
sbg8
(g9
g10
NtRp27043
(dp27044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06
p27045
sbg8
(g9
g10
NtRp27046
(dp27047
g13
Nsg14
g74
sg15
V2005
p27048
sbg8
(g9
g10
NtRp27049
(dp27050
g13
Nsg14
g74
sg15
V2007
p27051
sbg8
(g9
g10
NtRp27052
(dp27053
g13
Nsg14
Nsg15
VTRUE
p27054
sbg8
(g9
g10
NtRp27055
(dp27056
g13
Nsg14
Nsg15
VLand use|Ponta Delgada|Portugal
p27057
sbg8
(g9
g10
NtRp27058
(dp27059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27060
sbg8
(g9
g10
NtRp27061
(dp27062
g13
Nsg14
Nsg15
VFALSE
p27063
sbNg8
(g9
g10
NtRp27064
(dp27065
g13
Nsg14
Nsg15
VFALSE
p27066
sbNNNNNNNg8
(g9
g10
NtRp27067
(dp27068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27069
(dp27070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27071
(dp27072
g13
Nsg14
Nsg15
Vregio_v_32626_10_k_urban-atlas-pt007l_ponta_delgada_2005-2007
p27073
sbNg8
(g9
g10
NtRp27074
(dp27075
g13
Nsg14
Nsg15
Vobsolete
p27076
sbtp27077
a(g8
(g9
g10
NtRp27078
(dp27079
g13
Nsg14
Nsg15
Vc3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0
p27080
sbNg8
(g9
g10
NtRp27081
(dp27082
g13
Nsg14
Nsg15
VUrban Atlas - Luxembourg - Luxembourg
p27083
sbNNNNNg8
(g9
g10
NtRp27084
(dp27085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27086
sbg8
(g23
g10
NtRp27087
(dp27088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27089
sbNg8
(g9
g10
NtRp27090
(dp27091
g13
Nsg14
Nsg15
VFALSE
p27092
sbNNNg8
(g9
g10
NtRp27093
(dp27094
g13
Nsg14
Nsg15
VFALSE
p27095
sbNNg8
(g9
g10
NtRp27096
(dp27097
g13
Nsg14
Nsg15
VFALSE
p27098
sbNNg8
(g9
g10
NtRp27099
(dp27100
g13
Nsg14
Nsg15
VFALSE
p27101
sbNg8
(g9
g10
NtRp27102
(dp27103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0.png
p27104
sbNg8
(g9
g10
NtRp27105
(dp27106
g13
Nsg14
Nsg15
V2019-06-04
p27107
sbNNg8
(g9
g10
NtRp27108
(dp27109
g13
Nsg14
Nsg15
Vland use|urban area
p27110
sbg8
(g9
g10
NtRp27111
(dp27112
g13
Nsg14
Nsg15
Vvector
p27113
sbg8
(g9
g10
NtRp27114
(dp27115
g13
Nsg14
Nsg15
VSHP
p27116
sbNg8
(g9
g10
NtRp27117
(dp27118
g13
Nsg14
Nsg15
V1:10000
p27119
sbNg8
(g9
g10
NtRp27120
(dp27121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784005 (XS) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00182784006 (XS) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00182784007 (XS) (Date: 2005/05/28) \u000a                      * Spot 5 2,50 m - 00182793005 (P) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00182793006 (P) (Date: 2006/07/19) \u000a                      * Spot 5 2,50 m - 00182793007 (P) (Date: 2005/05/28)
p27122
sbg8
(g9
g10
NtRp27123
(dp27124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0
p27125
sbg8
(g9
g10
NtRp27126
(dp27127
g13
Nsg14
g74
sg15
V2005
p27128
sbg8
(g9
g10
NtRp27129
(dp27130
g13
Nsg14
g74
sg15
V2006
p27131
sbg8
(g9
g10
NtRp27132
(dp27133
g13
Nsg14
Nsg15
VTRUE
p27134
sbg8
(g9
g10
NtRp27135
(dp27136
g13
Nsg14
Nsg15
VLand use|Luxembourg
p27137
sbg8
(g9
g10
NtRp27138
(dp27139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27140
sbg8
(g9
g10
NtRp27141
(dp27142
g13
Nsg14
Nsg15
VFALSE
p27143
sbNg8
(g9
g10
NtRp27144
(dp27145
g13
Nsg14
Nsg15
VFALSE
p27146
sbNNNNNNNg8
(g9
g10
NtRp27147
(dp27148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27149
(dp27150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27151
(dp27152
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-lu001l_luxembourg_2005-2006
p27153
sbNg8
(g9
g10
NtRp27154
(dp27155
g13
Nsg14
Nsg15
Vobsolete
p27156
sbtp27157
a(g8
(g9
g10
NtRp27158
(dp27159
g13
Nsg14
Nsg15
V497637ad-32cc-4541-9cdb-49bbc07a2d5d
p27160
sbNg8
(g9
g10
NtRp27161
(dp27162
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Pre\u0161ov
p27163
sbNNNNNg8
(g9
g10
NtRp27164
(dp27165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27166
sbg8
(g23
g10
NtRp27167
(dp27168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27169
sbNg8
(g9
g10
NtRp27170
(dp27171
g13
Nsg14
Nsg15
VFALSE
p27172
sbNNNg8
(g9
g10
NtRp27173
(dp27174
g13
Nsg14
Nsg15
VFALSE
p27175
sbNNg8
(g9
g10
NtRp27176
(dp27177
g13
Nsg14
Nsg15
VFALSE
p27178
sbNNg8
(g9
g10
NtRp27179
(dp27180
g13
Nsg14
Nsg15
VFALSE
p27181
sbNg8
(g9
g10
NtRp27182
(dp27183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/497637ad-32cc-4541-9cdb-49bbc07a2d5d.png
p27184
sbNg8
(g9
g10
NtRp27185
(dp27186
g13
Nsg14
Nsg15
V2019-06-04
p27187
sbNNg8
(g9
g10
NtRp27188
(dp27189
g13
Nsg14
Nsg15
Vland use|urban area
p27190
sbg8
(g9
g10
NtRp27191
(dp27192
g13
Nsg14
Nsg15
Vvector
p27193
sbg8
(g9
g10
NtRp27194
(dp27195
g13
Nsg14
Nsg15
VSHP
p27196
sbNg8
(g9
g10
NtRp27197
(dp27198
g13
Nsg14
Nsg15
V1:10000
p27199
sbNg8
(g9
g10
NtRp27200
(dp27201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,5 m - 00186393007 (PS) (Date: 2007/07/21) \u000a                      * SPOT 5 2,5 m - 00186393009 (PS) (Date: 2007/11/03)
p27202
sbg8
(g9
g10
NtRp27203
(dp27204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/497637ad-32cc-4541-9cdb-49bbc07a2d5d
p27205
sbg8
(g9
g10
NtRp27206
(dp27207
g13
Nsg14
g74
sg15
V2007
p27208
sbg8
(g9
g10
NtRp27209
(dp27210
g13
Nsg14
g74
sg15
V2007
p27211
sbg8
(g9
g10
NtRp27212
(dp27213
g13
Nsg14
Nsg15
VFALSE
p27214
sbg8
(g9
g10
NtRp27215
(dp27216
g13
Nsg14
Nsg15
VLand use|Pre\u0161ov|Slovakia
p27217
sbg8
(g9
g10
NtRp27218
(dp27219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27220
sbg8
(g9
g10
NtRp27221
(dp27222
g13
Nsg14
Nsg15
VFALSE
p27223
sbNg8
(g9
g10
NtRp27224
(dp27225
g13
Nsg14
Nsg15
VFALSE
p27226
sbNNNNNNNg8
(g9
g10
NtRp27227
(dp27228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27229
(dp27230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27231
(dp27232
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk005l_presov_2007
p27233
sbNg8
(g9
g10
NtRp27234
(dp27235
g13
Nsg14
Nsg15
Vobsolete
p27236
sbtp27237
a(g8
(g9
g10
NtRp27238
(dp27239
g13
Nsg14
Nsg15
V8b4c0f86-47b6-4196-bb87-8f60a97136d4
p27240
sbNg8
(g9
g10
NtRp27241
(dp27242
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Halle (Halle (Saale))
p27243
sbNNNNNg8
(g9
g10
NtRp27244
(dp27245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27246
sbg8
(g23
g10
NtRp27247
(dp27248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27249
sbNg8
(g9
g10
NtRp27250
(dp27251
g13
Nsg14
Nsg15
VFALSE
p27252
sbNNNg8
(g9
g10
NtRp27253
(dp27254
g13
Nsg14
Nsg15
VFALSE
p27255
sbNNg8
(g9
g10
NtRp27256
(dp27257
g13
Nsg14
Nsg15
VFALSE
p27258
sbNNg8
(g9
g10
NtRp27259
(dp27260
g13
Nsg14
Nsg15
VFALSE
p27261
sbNg8
(g9
g10
NtRp27262
(dp27263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b4c0f86-47b6-4196-bb87-8f60a97136d4.png
p27264
sbNg8
(g9
g10
NtRp27265
(dp27266
g13
Nsg14
Nsg15
V2019-06-04
p27267
sbNNg8
(g9
g10
NtRp27268
(dp27269
g13
Nsg14
Nsg15
Vland use|urban area
p27270
sbg8
(g9
g10
NtRp27271
(dp27272
g13
Nsg14
Nsg15
Vvector
p27273
sbg8
(g9
g10
NtRp27274
(dp27275
g13
Nsg14
Nsg15
VSHP
p27276
sbNg8
(g9
g10
NtRp27277
(dp27278
g13
Nsg14
Nsg15
V1:10000
p27279
sbNg8
(g9
g10
NtRp27280
(dp27281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572450509011015051B0 (P) (Date: 2005/09/01) \u000a                      * Spot 5 2,50 m - 50572450609151026022B0 (P) (Date: 2006/09/15) \u000a                      * Spot 5 2,50 m - 50572460609151026112B0 (P) (Date: 2006/09/15) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094347_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070416_094403_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070504_102625_DLR_6788_PRUTM (P) (Date: 2007/05/04)
p27282
sbg8
(g9
g10
NtRp27283
(dp27284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b4c0f86-47b6-4196-bb87-8f60a97136d4
p27285
sbg8
(g9
g10
NtRp27286
(dp27287
g13
Nsg14
g74
sg15
V2005
p27288
sbg8
(g9
g10
NtRp27289
(dp27290
g13
Nsg14
g74
sg15
V2007
p27291
sbg8
(g9
g10
NtRp27292
(dp27293
g13
Nsg14
Nsg15
VTRUE
p27294
sbg8
(g9
g10
NtRp27295
(dp27296
g13
Nsg14
Nsg15
VGermany|Halle|Land use
p27297
sbg8
(g9
g10
NtRp27298
(dp27299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27300
sbg8
(g9
g10
NtRp27301
(dp27302
g13
Nsg14
Nsg15
VFALSE
p27303
sbNg8
(g9
g10
NtRp27304
(dp27305
g13
Nsg14
Nsg15
VFALSE
p27306
sbNNNNNNNg8
(g9
g10
NtRp27307
(dp27308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27309
(dp27310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27311
(dp27312
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-de018l_halle_an_der_saale_2005-2007
p27313
sbNg8
(g9
g10
NtRp27314
(dp27315
g13
Nsg14
Nsg15
Vobsolete
p27316
sbtp27317
a(g8
(g9
g10
NtRp27318
(dp27319
g13
Nsg14
Nsg15
V02978e1d-3c07-448d-9392-a48e614ad55f
p27320
sbNg8
(g9
g10
NtRp27321
(dp27322
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Pardubice
p27323
sbNNNNNg8
(g9
g10
NtRp27324
(dp27325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27326
sbg8
(g23
g10
NtRp27327
(dp27328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27329
sbNg8
(g9
g10
NtRp27330
(dp27331
g13
Nsg14
Nsg15
VFALSE
p27332
sbNNNg8
(g9
g10
NtRp27333
(dp27334
g13
Nsg14
Nsg15
VFALSE
p27335
sbNNg8
(g9
g10
NtRp27336
(dp27337
g13
Nsg14
Nsg15
VFALSE
p27338
sbNNg8
(g9
g10
NtRp27339
(dp27340
g13
Nsg14
Nsg15
VFALSE
p27341
sbNg8
(g9
g10
NtRp27342
(dp27343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/02978e1d-3c07-448d-9392-a48e614ad55f.png
p27344
sbNg8
(g9
g10
NtRp27345
(dp27346
g13
Nsg14
Nsg15
V2019-06-04
p27347
sbNNg8
(g9
g10
NtRp27348
(dp27349
g13
Nsg14
Nsg15
Vland use|urban area
p27350
sbg8
(g9
g10
NtRp27351
(dp27352
g13
Nsg14
Nsg15
Vvector
p27353
sbg8
(g9
g10
NtRp27354
(dp27355
g13
Nsg14
Nsg15
VSHP
p27356
sbNg8
(g9
g10
NtRp27357
(dp27358
g13
Nsg14
Nsg15
V1:10000
p27359
sbNg8
(g9
g10
NtRp27360
(dp27361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652480609101022231B3 (PS) (Date: 2006/09/10) \u000a                      * Spot 5 2,50 m - 50662480708191022481B0 (PS) (Date: 2007/08/19) \u000a                      * Spot 5 2,50 m - 50662490609111003141B0 (PS) (Date: 2006/09/11)
p27362
sbg8
(g9
g10
NtRp27363
(dp27364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02978e1d-3c07-448d-9392-a48e614ad55f
p27365
sbg8
(g9
g10
NtRp27366
(dp27367
g13
Nsg14
g74
sg15
V2006
p27368
sbg8
(g9
g10
NtRp27369
(dp27370
g13
Nsg14
g74
sg15
V2007
p27371
sbg8
(g9
g10
NtRp27372
(dp27373
g13
Nsg14
Nsg15
VTRUE
p27374
sbg8
(g9
g10
NtRp27375
(dp27376
g13
Nsg14
Nsg15
VCzechia|Land use|Pardubice
p27377
sbg8
(g9
g10
NtRp27378
(dp27379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27380
sbg8
(g9
g10
NtRp27381
(dp27382
g13
Nsg14
Nsg15
VFALSE
p27383
sbNg8
(g9
g10
NtRp27384
(dp27385
g13
Nsg14
Nsg15
VFALSE
p27386
sbNNNNNNNg8
(g9
g10
NtRp27387
(dp27388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27389
(dp27390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27391
(dp27392
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz010l_pardubice_2006-2007
p27393
sbNg8
(g9
g10
NtRp27394
(dp27395
g13
Nsg14
Nsg15
Vobsolete
p27396
sbtp27397
a(g8
(g9
g10
NtRp27398
(dp27399
g13
Nsg14
Nsg15
Vf1142951-e179-4369-8d82-a95e8baf8efa
p27400
sbNg8
(g9
g10
NtRp27401
(dp27402
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Berlin
p27403
sbNNNNNg8
(g9
g10
NtRp27404
(dp27405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27406
sbg8
(g23
g10
NtRp27407
(dp27408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27409
sbNg8
(g9
g10
NtRp27410
(dp27411
g13
Nsg14
Nsg15
VFALSE
p27412
sbNNNg8
(g9
g10
NtRp27413
(dp27414
g13
Nsg14
Nsg15
VFALSE
p27415
sbNNg8
(g9
g10
NtRp27416
(dp27417
g13
Nsg14
Nsg15
VFALSE
p27418
sbNNg8
(g9
g10
NtRp27419
(dp27420
g13
Nsg14
Nsg15
VFALSE
p27421
sbNg8
(g9
g10
NtRp27422
(dp27423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1142951-e179-4369-8d82-a95e8baf8efa.png
p27424
sbNg8
(g9
g10
NtRp27425
(dp27426
g13
Nsg14
Nsg15
V2019-06-04
p27427
sbNNg8
(g9
g10
NtRp27428
(dp27429
g13
Nsg14
Nsg15
Vland use|urban area
p27430
sbg8
(g9
g10
NtRp27431
(dp27432
g13
Nsg14
Nsg15
Vvector
p27433
sbg8
(g9
g10
NtRp27434
(dp27435
g13
Nsg14
Nsg15
VSHP
p27436
sbNg8
(g9
g10
NtRp27437
(dp27438
g13
Nsg14
Nsg15
V1:10000
p27439
sbNg8
(g9
g10
NtRp27440
(dp27441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572420504191012372B0 (Date: 2005/04/19) \u000a                      * Spot 5 2,50 m - 50572430509011014491B0 (Date: 2005/09/01) \u000a                      * Spot 5 2,50 m - 50572440509070959232B0 (Date: 2005/09/07) \u000a                      * Spot 5 2,50 m - 50582420609151025351B8 (Date: 2006/09/15) \u000a                      * Spot 5 2,50 m - 50582430508311034011B9 (Date: 2005/08/31) \u000a                      * Spot 5 2,50 m - 50582430605091006101B1 (Date: 2006/05/09) \u000a                      * Spot 5 2,50 m - 50582440508311034091B9 (Date: 2005/08/31) \u000a                      * Spot 5 2,50 m - 50612430607041029251B3 (Date: 2006/07/04) \u000a                      * Spot 5 2,50 m - 50622440609111002381B1 (Date: 2006/09/11) \u000a                      * ALOS 10 m - AL_AV2_X_20070330_094113_DLR_6277_PRUTM (Date: 2007/03/30) \u000a                      * ALOS 10 m - AL_AV2_X_20070330_094121_DLR_6277_PRUTM (Date: 2007/03/30) \u000a                      * ALOS 10 m - AL_AV2_X_20070330_094129_DLR_6277_PRUTM (Date: 2007/03/30) \u000a                      * ALOS 10 m - AL_AV2_X_20090614_101421_DLR_18049_PRUTM (Date: 2009/06/14) \u000a                      * ALOS 10 m - AL_AV2_X_20090614_101429_DLR_18049_PRUTM (Date: 2009/06/14) \u000a                      * ALOS 10 m - AL_AV2_X_20090816_101644_DLR_18968_PRUTM (Date: 2009/08/16) \u000a                      * ALOS 10 m - AL_AV2_X_20090816_101652_DLR_18968_PRUTM (Date: 2009/08/16) \u000a                      * ALOS 10 m - AL_AV2_X_20090816_101700_DLR_18968_PRUTM (Date: 2009/08/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070331_102139_DLR_6292_PRUTM (Date: 2007/03/31) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101315_DLR_7313_PRUTM (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070609_101319_DLR_7313_PRUTM (Date: 2007/06/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080513_101225_DLR_12258_PRUTM (Date: 2008/05/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080513_101229_DLR_12258_PRUTM (Date: 2008/05/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101404_DLR_12506_PRUTM (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101408_DLR_12506_PRUTM (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101412_DLR_12506_PRUTM (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101416_DLR_12506_PRUTM (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080530_101420_DLR_12506_PRUTM (Date: 2008/05/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080604_102024_DLR_12579_PRUTM (Date: 2008/06/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101816_DLR_13002_PRUTM (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101821_DLR_13002_PRUTM (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101825_DLR_13002_PRUTM (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080703_101829_DLR_13002_PRUTM (Date: 2008/07/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090417_101804_DLR_17203_PRUTM (Date: 2009/04/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090417_101808_DLR_17203_PRUTM (Date: 2009/04/17)
p27442
sbg8
(g9
g10
NtRp27443
(dp27444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1142951-e179-4369-8d82-a95e8baf8efa
p27445
sbg8
(g9
g10
NtRp27446
(dp27447
g13
Nsg14
g74
sg15
V2005
p27448
sbg8
(g9
g10
NtRp27449
(dp27450
g13
Nsg14
g74
sg15
V2009
p27451
sbg8
(g9
g10
NtRp27452
(dp27453
g13
Nsg14
Nsg15
VTRUE
p27454
sbg8
(g9
g10
NtRp27455
(dp27456
g13
Nsg14
Nsg15
VBerlin|Germany|Land use
p27457
sbg8
(g9
g10
NtRp27458
(dp27459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27460
sbg8
(g9
g10
NtRp27461
(dp27462
g13
Nsg14
Nsg15
VFALSE
p27463
sbNg8
(g9
g10
NtRp27464
(dp27465
g13
Nsg14
Nsg15
VFALSE
p27466
sbNNNNNNNg8
(g9
g10
NtRp27467
(dp27468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27469
(dp27470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27471
(dp27472
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-de001l_berlin_2005-2009
p27473
sbNg8
(g9
g10
NtRp27474
(dp27475
g13
Nsg14
Nsg15
Vobsolete
p27476
sbtp27477
a(g8
(g9
g10
NtRp27478
(dp27479
g13
Nsg14
Nsg15
V761a7ab4-a3bf-4a75-9949-9444b2f471e7
p27480
sbNg8
(g9
g10
NtRp27481
(dp27482
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Foggia
p27483
sbNNNNNg8
(g9
g10
NtRp27484
(dp27485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27486
sbg8
(g23
g10
NtRp27487
(dp27488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27489
sbNg8
(g9
g10
NtRp27490
(dp27491
g13
Nsg14
Nsg15
VFALSE
p27492
sbNNNg8
(g9
g10
NtRp27493
(dp27494
g13
Nsg14
Nsg15
VFALSE
p27495
sbNNg8
(g9
g10
NtRp27496
(dp27497
g13
Nsg14
Nsg15
VFALSE
p27498
sbNNg8
(g9
g10
NtRp27499
(dp27500
g13
Nsg14
Nsg15
VFALSE
p27501
sbNg8
(g9
g10
NtRp27502
(dp27503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/761a7ab4-a3bf-4a75-9949-9444b2f471e7.png
p27504
sbNg8
(g9
g10
NtRp27505
(dp27506
g13
Nsg14
Nsg15
V2019-06-04
p27507
sbNNg8
(g9
g10
NtRp27508
(dp27509
g13
Nsg14
Nsg15
Vland use|urban area
p27510
sbg8
(g9
g10
NtRp27511
(dp27512
g13
Nsg14
Nsg15
Vvector
p27513
sbg8
(g9
g10
NtRp27514
(dp27515
g13
Nsg14
Nsg15
VSHP
p27516
sbNg8
(g9
g10
NtRp27517
(dp27518
g13
Nsg14
Nsg15
V1:10000
p27519
sbNg8
(g9
g10
NtRp27520
(dp27521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50722660506220943591B6 (PS) (Date: 2005/06/22)
p27522
sbg8
(g9
g10
NtRp27523
(dp27524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/761a7ab4-a3bf-4a75-9949-9444b2f471e7
p27525
sbg8
(g9
g10
NtRp27526
(dp27527
g13
Nsg14
g74
sg15
V2005
p27528
sbg8
(g9
g10
NtRp27529
(dp27530
g13
Nsg14
g74
sg15
V2005
p27531
sbg8
(g9
g10
NtRp27532
(dp27533
g13
Nsg14
Nsg15
VFALSE
p27534
sbg8
(g9
g10
NtRp27535
(dp27536
g13
Nsg14
Nsg15
VFoggia|Italy|Land use
p27537
sbg8
(g9
g10
NtRp27538
(dp27539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27540
sbg8
(g9
g10
NtRp27541
(dp27542
g13
Nsg14
Nsg15
VFALSE
p27543
sbNg8
(g9
g10
NtRp27544
(dp27545
g13
Nsg14
Nsg15
VFALSE
p27546
sbNNNNNNNg8
(g9
g10
NtRp27547
(dp27548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27549
(dp27550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27551
(dp27552
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it031l_foggia_2005
p27553
sbNg8
(g9
g10
NtRp27554
(dp27555
g13
Nsg14
Nsg15
Vobsolete
p27556
sbtp27557
a(g8
(g9
g10
NtRp27558
(dp27559
g13
Nsg14
Nsg15
V82f43493-cb3e-4325-9f03-bc790cc0b77d
p27560
sbNg8
(g9
g10
NtRp27561
(dp27562
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Sassari
p27563
sbNNNNNg8
(g9
g10
NtRp27564
(dp27565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27566
sbg8
(g23
g10
NtRp27567
(dp27568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27569
sbNg8
(g9
g10
NtRp27570
(dp27571
g13
Nsg14
Nsg15
VFALSE
p27572
sbNNNg8
(g9
g10
NtRp27573
(dp27574
g13
Nsg14
Nsg15
VFALSE
p27575
sbNNg8
(g9
g10
NtRp27576
(dp27577
g13
Nsg14
Nsg15
VFALSE
p27578
sbNNg8
(g9
g10
NtRp27579
(dp27580
g13
Nsg14
Nsg15
VFALSE
p27581
sbNg8
(g9
g10
NtRp27582
(dp27583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/82f43493-cb3e-4325-9f03-bc790cc0b77d.png
p27584
sbNg8
(g9
g10
NtRp27585
(dp27586
g13
Nsg14
Nsg15
V2019-06-04
p27587
sbNNg8
(g9
g10
NtRp27588
(dp27589
g13
Nsg14
Nsg15
Vland use|urban area
p27590
sbg8
(g9
g10
NtRp27591
(dp27592
g13
Nsg14
Nsg15
Vvector
p27593
sbg8
(g9
g10
NtRp27594
(dp27595
g13
Nsg14
Nsg15
VPostgis
p27596
sbNg8
(g9
g10
NtRp27597
(dp27598
g13
Nsg14
Nsg15
V1:10000
p27599
sbNg8
(g9
g10
NtRp27600
(dp27601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50582670505251023252B0 (PS) (Date: 2005/05/25) \u000a                      * Spot 5 2,50 m - 50582680605291025071B0 (PS) (Date: 2006/05/29) \u000a                      * Spot 5 2,50 m - 50592680608311017342B0 (PS) (Date: 2006/08/31)
p27602
sbg8
(g9
g10
NtRp27603
(dp27604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82f43493-cb3e-4325-9f03-bc790cc0b77d
p27605
sbg8
(g9
g10
NtRp27606
(dp27607
g13
Nsg14
g74
sg15
V2005
p27608
sbg8
(g9
g10
NtRp27609
(dp27610
g13
Nsg14
g74
sg15
V2006
p27611
sbg8
(g9
g10
NtRp27612
(dp27613
g13
Nsg14
Nsg15
VTRUE
p27614
sbg8
(g9
g10
NtRp27615
(dp27616
g13
Nsg14
Nsg15
VItaly|Land use|Sassari
p27617
sbg8
(g9
g10
NtRp27618
(dp27619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27620
sbg8
(g9
g10
NtRp27621
(dp27622
g13
Nsg14
Nsg15
VFALSE
p27623
sbNg8
(g9
g10
NtRp27624
(dp27625
g13
Nsg14
Nsg15
VFALSE
p27626
sbNNNNNNNg8
(g9
g10
NtRp27627
(dp27628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27629
(dp27630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27631
(dp27632
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it026l_sassari_2005-2006
p27633
sbNg8
(g9
g10
NtRp27634
(dp27635
g13
Nsg14
Nsg15
Vobsolete
p27636
sbtp27637
a(g8
(g9
g10
NtRp27638
(dp27639
g13
Nsg14
Nsg15
V57828ff9-6248-4d98-8838-539b8ce13d59
p27640
sbNg8
(g9
g10
NtRp27641
(dp27642
g13
Nsg14
Nsg15
VUrban Atlas - France - Caen
p27643
sbNNNNNg8
(g9
g10
NtRp27644
(dp27645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27646
sbg8
(g23
g10
NtRp27647
(dp27648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27649
sbNg8
(g9
g10
NtRp27650
(dp27651
g13
Nsg14
Nsg15
VFALSE
p27652
sbNNNg8
(g9
g10
NtRp27653
(dp27654
g13
Nsg14
Nsg15
VFALSE
p27655
sbNNg8
(g9
g10
NtRp27656
(dp27657
g13
Nsg14
Nsg15
VFALSE
p27658
sbNNg8
(g9
g10
NtRp27659
(dp27660
g13
Nsg14
Nsg15
VFALSE
p27661
sbNg8
(g9
g10
NtRp27662
(dp27663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/57828ff9-6248-4d98-8838-539b8ce13d59.png
p27664
sbNg8
(g9
g10
NtRp27665
(dp27666
g13
Nsg14
Nsg15
V2019-06-04
p27667
sbNNg8
(g9
g10
NtRp27668
(dp27669
g13
Nsg14
Nsg15
Vland use|urban area
p27670
sbg8
(g9
g10
NtRp27671
(dp27672
g13
Nsg14
Nsg15
Vvector
p27673
sbg8
(g9
g10
NtRp27674
(dp27675
g13
Nsg14
Nsg15
VSHP
p27676
sbNg8
(g9
g10
NtRp27677
(dp27678
g13
Nsg14
Nsg15
V1:10000
p27679
sbNg8
(g9
g10
NtRp27680
(dp27681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50342501003091124472B5 (PS) (Date: 2010/03/09)
p27682
sbg8
(g9
g10
NtRp27683
(dp27684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57828ff9-6248-4d98-8838-539b8ce13d59
p27685
sbg8
(g9
g10
NtRp27686
(dp27687
g13
Nsg14
g74
sg15
V2010
p27688
sbg8
(g9
g10
NtRp27689
(dp27690
g13
Nsg14
g74
sg15
V2010
p27691
sbg8
(g9
g10
NtRp27692
(dp27693
g13
Nsg14
Nsg15
VFALSE
p27694
sbg8
(g9
g10
NtRp27695
(dp27696
g13
Nsg14
Nsg15
VCaen|France|Land use
p27697
sbg8
(g9
g10
NtRp27698
(dp27699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27700
sbg8
(g9
g10
NtRp27701
(dp27702
g13
Nsg14
Nsg15
VFALSE
p27703
sbNg8
(g9
g10
NtRp27704
(dp27705
g13
Nsg14
Nsg15
VFALSE
p27706
sbNNNNNNNg8
(g9
g10
NtRp27707
(dp27708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27709
(dp27710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27711
(dp27712
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-fr023l_caen_2010
p27713
sbNg8
(g9
g10
NtRp27714
(dp27715
g13
Nsg14
Nsg15
Vobsolete
p27716
sbtp27717
a(g8
(g9
g10
NtRp27718
(dp27719
g13
Nsg14
Nsg15
V2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4
p27720
sbNg8
(g9
g10
NtRp27721
(dp27722
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - The Hague (Den Haag)
p27723
sbNNNNNg8
(g9
g10
NtRp27724
(dp27725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27726
sbg8
(g23
g10
NtRp27727
(dp27728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27729
sbNg8
(g9
g10
NtRp27730
(dp27731
g13
Nsg14
Nsg15
VFALSE
p27732
sbNNNg8
(g9
g10
NtRp27733
(dp27734
g13
Nsg14
Nsg15
VFALSE
p27735
sbNNg8
(g9
g10
NtRp27736
(dp27737
g13
Nsg14
Nsg15
VFALSE
p27738
sbNNg8
(g9
g10
NtRp27739
(dp27740
g13
Nsg14
Nsg15
VFALSE
p27741
sbNg8
(g9
g10
NtRp27742
(dp27743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4.png
p27744
sbNg8
(g9
g10
NtRp27745
(dp27746
g13
Nsg14
Nsg15
V2019-06-04
p27747
sbNNg8
(g9
g10
NtRp27748
(dp27749
g13
Nsg14
Nsg15
Vland use|urban area
p27750
sbg8
(g9
g10
NtRp27751
(dp27752
g13
Nsg14
Nsg15
Vvector
p27753
sbg8
(g9
g10
NtRp27754
(dp27755
g13
Nsg14
Nsg15
VSHP
p27756
sbNg8
(g9
g10
NtRp27757
(dp27758
g13
Nsg14
Nsg15
V1:10000
p27759
sbNg8
(g9
g10
NtRp27760
(dp27761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538039 (PS) (Date: 2006/09/13)
p27762
sbg8
(g9
g10
NtRp27763
(dp27764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4
p27765
sbg8
(g9
g10
NtRp27766
(dp27767
g13
Nsg14
g74
sg15
V2006
p27768
sbg8
(g9
g10
NtRp27769
(dp27770
g13
Nsg14
g74
sg15
V2006
p27771
sbg8
(g9
g10
NtRp27772
(dp27773
g13
Nsg14
Nsg15
VFALSE
p27774
sbg8
(g9
g10
NtRp27775
(dp27776
g13
Nsg14
Nsg15
VLand use|Netherlands|The Hague
p27777
sbg8
(g9
g10
NtRp27778
(dp27779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27780
sbg8
(g9
g10
NtRp27781
(dp27782
g13
Nsg14
Nsg15
VFALSE
p27783
sbNg8
(g9
g10
NtRp27784
(dp27785
g13
Nsg14
Nsg15
VFALSE
p27786
sbNNNNNNNg8
(g9
g10
NtRp27787
(dp27788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27789
(dp27790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27791
(dp27792
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl001l_s_gravenhage_2006
p27793
sbNg8
(g9
g10
NtRp27794
(dp27795
g13
Nsg14
Nsg15
Vobsolete
p27796
sbtp27797
a(g8
(g9
g10
NtRp27798
(dp27799
g13
Nsg14
Nsg15
V4a500b22-5251-49a3-baba-f867e59184bc
p27800
sbNg8
(g9
g10
NtRp27801
(dp27802
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Tren\u010dín
p27803
sbNNNNNg8
(g9
g10
NtRp27804
(dp27805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27806
sbg8
(g23
g10
NtRp27807
(dp27808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27809
sbNg8
(g9
g10
NtRp27810
(dp27811
g13
Nsg14
Nsg15
VFALSE
p27812
sbNNNg8
(g9
g10
NtRp27813
(dp27814
g13
Nsg14
Nsg15
VFALSE
p27815
sbNNg8
(g9
g10
NtRp27816
(dp27817
g13
Nsg14
Nsg15
VFALSE
p27818
sbNNg8
(g9
g10
NtRp27819
(dp27820
g13
Nsg14
Nsg15
VFALSE
p27821
sbNg8
(g9
g10
NtRp27822
(dp27823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a500b22-5251-49a3-baba-f867e59184bc.png
p27824
sbNg8
(g9
g10
NtRp27825
(dp27826
g13
Nsg14
Nsg15
V2019-06-04
p27827
sbNNg8
(g9
g10
NtRp27828
(dp27829
g13
Nsg14
Nsg15
Vland use|urban area
p27830
sbg8
(g9
g10
NtRp27831
(dp27832
g13
Nsg14
Nsg15
Vvector
p27833
sbg8
(g9
g10
NtRp27834
(dp27835
g13
Nsg14
Nsg15
VSHP
p27836
sbNg8
(g9
g10
NtRp27837
(dp27838
g13
Nsg14
Nsg15
V1:10000
p27839
sbNg8
(g9
g10
NtRp27840
(dp27841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50722510705131009112B0 (PS) (Date: 2007/05/13)
p27842
sbg8
(g9
g10
NtRp27843
(dp27844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a500b22-5251-49a3-baba-f867e59184bc
p27845
sbg8
(g9
g10
NtRp27846
(dp27847
g13
Nsg14
g74
sg15
V2007
p27848
sbg8
(g9
g10
NtRp27849
(dp27850
g13
Nsg14
g74
sg15
V2007
p27851
sbg8
(g9
g10
NtRp27852
(dp27853
g13
Nsg14
Nsg15
VFALSE
p27854
sbg8
(g9
g10
NtRp27855
(dp27856
g13
Nsg14
Nsg15
VLand use|Slovakia|Tren\u010dín
p27857
sbg8
(g9
g10
NtRp27858
(dp27859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27860
sbg8
(g9
g10
NtRp27861
(dp27862
g13
Nsg14
Nsg15
VFALSE
p27863
sbNg8
(g9
g10
NtRp27864
(dp27865
g13
Nsg14
Nsg15
VFALSE
p27866
sbNNNNNNNg8
(g9
g10
NtRp27867
(dp27868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27869
(dp27870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27871
(dp27872
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk008l_trencin_2007
p27873
sbNg8
(g9
g10
NtRp27874
(dp27875
g13
Nsg14
Nsg15
Vobsolete
p27876
sbtp27877
a(g8
(g9
g10
NtRp27878
(dp27879
g13
Nsg14
Nsg15
Vbe753bdc-acbe-485a-b052-bd968467ac88
p27880
sbNg8
(g9
g10
NtRp27881
(dp27882
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Manchester
p27883
sbNNNNNg8
(g9
g10
NtRp27884
(dp27885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27886
sbg8
(g23
g10
NtRp27887
(dp27888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27889
sbNg8
(g9
g10
NtRp27890
(dp27891
g13
Nsg14
Nsg15
VFALSE
p27892
sbNNNg8
(g9
g10
NtRp27893
(dp27894
g13
Nsg14
Nsg15
VFALSE
p27895
sbNNg8
(g9
g10
NtRp27896
(dp27897
g13
Nsg14
Nsg15
VFALSE
p27898
sbNNg8
(g9
g10
NtRp27899
(dp27900
g13
Nsg14
Nsg15
VFALSE
p27901
sbNg8
(g9
g10
NtRp27902
(dp27903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/be753bdc-acbe-485a-b052-bd968467ac88.png
p27904
sbNg8
(g9
g10
NtRp27905
(dp27906
g13
Nsg14
Nsg15
V2019-06-04
p27907
sbNNg8
(g9
g10
NtRp27908
(dp27909
g13
Nsg14
Nsg15
Vland use|urban area
p27910
sbg8
(g9
g10
NtRp27911
(dp27912
g13
Nsg14
Nsg15
Vvector
p27913
sbg8
(g9
g10
NtRp27914
(dp27915
g13
Nsg14
Nsg15
VSHP
p27916
sbNg8
(g9
g10
NtRp27917
(dp27918
g13
Nsg14
Nsg15
V1:10000
p27919
sbNg8
(g9
g10
NtRp27920
(dp27921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50252410609231112342J0 (XS) (Date: 2006/09/23) \u000a                      * Spot 5 10 m - 50262410605041143031J0 (XS) (Date: 2006/05/04) \u000a                      * Spot 5 10 m - 50262420705031141462J0 (XS) (Date: 2007/05/03) \u000a                      * Spot 5 10 m - 50252410609231112322B0 (P) (Date: 2006/09/23) \u000a                      * Spot 5 10 m - 50262410610291120092B0 (P) (Date: 2006/10/29) \u000a                      * Spot 5 10 m - 50262420605041143091B0 (P) (Date: 2006/05/04) \u000a                      * RapidEye 5 m - 2009-04-19T115033_RE4_3A-NAC_5662865_105749 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115036_RE4_3A-NAC_5662868_105749 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T121039_RE3_3A-NAC_5662326_105749 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T121042_RE3_3A-NAC_5662325_105749 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2010-04-21T121341_RE3_3A-NAC_5662867_105749 (XS) (Date: 2010/04/21) \u000a                      * RapidEye 5 m - 2010-04-21T121345_RE3_3A-NAC_5662866_105749 (XS) (Date: 2010/04/21)
p27922
sbg8
(g9
g10
NtRp27923
(dp27924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be753bdc-acbe-485a-b052-bd968467ac88
p27925
sbg8
(g9
g10
NtRp27926
(dp27927
g13
Nsg14
g74
sg15
V2006
p27928
sbg8
(g9
g10
NtRp27929
(dp27930
g13
Nsg14
g74
sg15
V2010
p27931
sbg8
(g9
g10
NtRp27932
(dp27933
g13
Nsg14
Nsg15
VTRUE
p27934
sbg8
(g9
g10
NtRp27935
(dp27936
g13
Nsg14
Nsg15
VLand use|Manchester|United Kingdom
p27937
sbg8
(g9
g10
NtRp27938
(dp27939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p27940
sbg8
(g9
g10
NtRp27941
(dp27942
g13
Nsg14
Nsg15
VFALSE
p27943
sbNg8
(g9
g10
NtRp27944
(dp27945
g13
Nsg14
Nsg15
VFALSE
p27946
sbNNNNNNNg8
(g9
g10
NtRp27947
(dp27948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp27949
(dp27950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp27951
(dp27952
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk008l_manchester_2006-2010
p27953
sbNg8
(g9
g10
NtRp27954
(dp27955
g13
Nsg14
Nsg15
Vobsolete
p27956
sbtp27957
a(g8
(g9
g10
NtRp27958
(dp27959
g13
Nsg14
Nsg15
V21c42add-5e28-44ae-9297-48ab81d505d4
p27960
sbNg8
(g9
g10
NtRp27961
(dp27962
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Seville (Sevilla)
p27963
sbNNNNNg8
(g9
g10
NtRp27964
(dp27965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p27966
sbg8
(g23
g10
NtRp27967
(dp27968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p27969
sbNg8
(g9
g10
NtRp27970
(dp27971
g13
Nsg14
Nsg15
VFALSE
p27972
sbNNNg8
(g9
g10
NtRp27973
(dp27974
g13
Nsg14
Nsg15
VFALSE
p27975
sbNNg8
(g9
g10
NtRp27976
(dp27977
g13
Nsg14
Nsg15
VFALSE
p27978
sbNNg8
(g9
g10
NtRp27979
(dp27980
g13
Nsg14
Nsg15
VFALSE
p27981
sbNg8
(g9
g10
NtRp27982
(dp27983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/21c42add-5e28-44ae-9297-48ab81d505d4.png
p27984
sbNg8
(g9
g10
NtRp27985
(dp27986
g13
Nsg14
Nsg15
V2019-06-04
p27987
sbNNg8
(g9
g10
NtRp27988
(dp27989
g13
Nsg14
Nsg15
Vland use|urban area
p27990
sbg8
(g9
g10
NtRp27991
(dp27992
g13
Nsg14
Nsg15
Vvector
p27993
sbg8
(g9
g10
NtRp27994
(dp27995
g13
Nsg14
Nsg15
VSHP
p27996
sbNg8
(g9
g10
NtRp27997
(dp27998
g13
Nsg14
Nsg15
V1:10000
p27999
sbNg8
(g9
g10
NtRp28000
(dp28001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182763001(XS) (Date: 2005/07/18) \u000a                      * Spot 5 2,50 m - 00182763002 (XS) (Date: 2007/08/22) \u000a                      * Spot 5 2,50 m - 00182763003 (XS) (Date: 2007/08/22) \u000a                      * Spot 5 2,50 m - 00182763004 (P) (Date: 2005/07/18) \u000a                      * Spot 5 2,50 m - 00182763005 (P) (Date: 2007/08/22) \u000a                      * Spot 5 2,50 m - 00182763006 (P) (Date: 2007/08/22)
p28002
sbg8
(g9
g10
NtRp28003
(dp28004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/21c42add-5e28-44ae-9297-48ab81d505d4
p28005
sbg8
(g9
g10
NtRp28006
(dp28007
g13
Nsg14
g74
sg15
V2005
p28008
sbg8
(g9
g10
NtRp28009
(dp28010
g13
Nsg14
g74
sg15
V2007
p28011
sbg8
(g9
g10
NtRp28012
(dp28013
g13
Nsg14
Nsg15
VTRUE
p28014
sbg8
(g9
g10
NtRp28015
(dp28016
g13
Nsg14
Nsg15
VLand use|Seville|Spain
p28017
sbg8
(g9
g10
NtRp28018
(dp28019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28020
sbg8
(g9
g10
NtRp28021
(dp28022
g13
Nsg14
Nsg15
VFALSE
p28023
sbNg8
(g9
g10
NtRp28024
(dp28025
g13
Nsg14
Nsg15
VFALSE
p28026
sbNNNNNNNg8
(g9
g10
NtRp28027
(dp28028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28029
(dp28030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28031
(dp28032
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es004l_sevilla_2005-2007
p28033
sbNg8
(g9
g10
NtRp28034
(dp28035
g13
Nsg14
Nsg15
Vobsolete
p28036
sbtp28037
a(g8
(g9
g10
NtRp28038
(dp28039
g13
Nsg14
Nsg15
V08094a6b-5f5d-47fd-92d8-a3406c62f2f6
p28040
sbNg8
(g9
g10
NtRp28041
(dp28042
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Vigo
p28043
sbNNNNNg8
(g9
g10
NtRp28044
(dp28045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28046
sbg8
(g23
g10
NtRp28047
(dp28048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28049
sbNg8
(g9
g10
NtRp28050
(dp28051
g13
Nsg14
Nsg15
VFALSE
p28052
sbNNNg8
(g9
g10
NtRp28053
(dp28054
g13
Nsg14
Nsg15
VFALSE
p28055
sbNNg8
(g9
g10
NtRp28056
(dp28057
g13
Nsg14
Nsg15
VFALSE
p28058
sbNNg8
(g9
g10
NtRp28059
(dp28060
g13
Nsg14
Nsg15
VFALSE
p28061
sbNg8
(g9
g10
NtRp28062
(dp28063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/08094a6b-5f5d-47fd-92d8-a3406c62f2f6.png
p28064
sbNg8
(g9
g10
NtRp28065
(dp28066
g13
Nsg14
Nsg15
V2019-06-04
p28067
sbNNg8
(g9
g10
NtRp28068
(dp28069
g13
Nsg14
Nsg15
Vland use|urban area
p28070
sbg8
(g9
g10
NtRp28071
(dp28072
g13
Nsg14
Nsg15
Vvector
p28073
sbg8
(g9
g10
NtRp28074
(dp28075
g13
Nsg14
Nsg15
VSHP
p28076
sbNg8
(g9
g10
NtRp28077
(dp28078
g13
Nsg14
Nsg15
V1:10000
p28079
sbNg8
(g9
g10
NtRp28080
(dp28081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070508_113324_DLR_6847_PREU (XS) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070710_113529_DLR_7766_PREU (XS) (Date: 2007/07/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113319_DLR_6847_PREU (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113324_DLR_6847_PREU (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_113317_DLR_7518_PREU (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_113321_DLR_7518_PREU (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_113325_DLR_7518_PREU (P) (Date: 2007/06/23)
p28082
sbg8
(g9
g10
NtRp28083
(dp28084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08094a6b-5f5d-47fd-92d8-a3406c62f2f6
p28085
sbg8
(g9
g10
NtRp28086
(dp28087
g13
Nsg14
g74
sg15
V2007
p28088
sbg8
(g9
g10
NtRp28089
(dp28090
g13
Nsg14
g74
sg15
V2007
p28091
sbg8
(g9
g10
NtRp28092
(dp28093
g13
Nsg14
Nsg15
VFALSE
p28094
sbg8
(g9
g10
NtRp28095
(dp28096
g13
Nsg14
Nsg15
VLand use|Spain|Vigo
p28097
sbg8
(g9
g10
NtRp28098
(dp28099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28100
sbg8
(g9
g10
NtRp28101
(dp28102
g13
Nsg14
Nsg15
VFALSE
p28103
sbNg8
(g9
g10
NtRp28104
(dp28105
g13
Nsg14
Nsg15
VFALSE
p28106
sbNNNNNNNg8
(g9
g10
NtRp28107
(dp28108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28109
(dp28110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28111
(dp28112
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-es022l_vigo_2007
p28113
sbNg8
(g9
g10
NtRp28114
(dp28115
g13
Nsg14
Nsg15
Vobsolete
p28116
sbtp28117
a(g8
(g9
g10
NtRp28118
(dp28119
g13
Nsg14
Nsg15
V43fe7e22-7683-4d15-b5e0-faec13730d99
p28120
sbNg8
(g9
g10
NtRp28121
(dp28122
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Mönchengladbach
p28123
sbNNNNNg8
(g9
g10
NtRp28124
(dp28125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28126
sbg8
(g23
g10
NtRp28127
(dp28128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28129
sbNg8
(g9
g10
NtRp28130
(dp28131
g13
Nsg14
Nsg15
VFALSE
p28132
sbNNNg8
(g9
g10
NtRp28133
(dp28134
g13
Nsg14
Nsg15
VFALSE
p28135
sbNNg8
(g9
g10
NtRp28136
(dp28137
g13
Nsg14
Nsg15
VFALSE
p28138
sbNNg8
(g9
g10
NtRp28139
(dp28140
g13
Nsg14
Nsg15
VFALSE
p28141
sbNg8
(g9
g10
NtRp28142
(dp28143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/43fe7e22-7683-4d15-b5e0-faec13730d99.png
p28144
sbNg8
(g9
g10
NtRp28145
(dp28146
g13
Nsg14
Nsg15
V2019-06-04
p28147
sbNNg8
(g9
g10
NtRp28148
(dp28149
g13
Nsg14
Nsg15
Vland use|urban area
p28150
sbg8
(g9
g10
NtRp28151
(dp28152
g13
Nsg14
Nsg15
Vvector
p28153
sbg8
(g9
g10
NtRp28154
(dp28155
g13
Nsg14
Nsg15
VSHP
p28156
sbNg8
(g9
g10
NtRp28157
(dp28158
g13
Nsg14
Nsg15
V1:10000
p28159
sbNg8
(g9
g10
NtRp28160
(dp28161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538047 (PS) (Date: 2006/10/16)
p28162
sbg8
(g9
g10
NtRp28163
(dp28164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43fe7e22-7683-4d15-b5e0-faec13730d99
p28165
sbg8
(g9
g10
NtRp28166
(dp28167
g13
Nsg14
g74
sg15
V2006
p28168
sbg8
(g9
g10
NtRp28169
(dp28170
g13
Nsg14
g74
sg15
V2006
p28171
sbg8
(g9
g10
NtRp28172
(dp28173
g13
Nsg14
Nsg15
VFALSE
p28174
sbg8
(g9
g10
NtRp28175
(dp28176
g13
Nsg14
Nsg15
VGermany|Land use|Mönchengladbach
p28177
sbg8
(g9
g10
NtRp28178
(dp28179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28180
sbg8
(g9
g10
NtRp28181
(dp28182
g13
Nsg14
Nsg15
VFALSE
p28183
sbNg8
(g9
g10
NtRp28184
(dp28185
g13
Nsg14
Nsg15
VFALSE
p28186
sbNNNNNNNg8
(g9
g10
NtRp28187
(dp28188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28189
(dp28190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28191
(dp28192
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de036l_monchengladbach_2006
p28193
sbNg8
(g9
g10
NtRp28194
(dp28195
g13
Nsg14
Nsg15
Vobsolete
p28196
sbtp28197
a(g8
(g9
g10
NtRp28198
(dp28199
g13
Nsg14
Nsg15
V420378d7-d90b-43f7-97f5-df175bf94a23
p28200
sbNg8
(g9
g10
NtRp28201
(dp28202
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Frankfurt (Oder)
p28203
sbNNNNNg8
(g9
g10
NtRp28204
(dp28205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28206
sbg8
(g23
g10
NtRp28207
(dp28208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28209
sbNg8
(g9
g10
NtRp28210
(dp28211
g13
Nsg14
Nsg15
VFALSE
p28212
sbNNNg8
(g9
g10
NtRp28213
(dp28214
g13
Nsg14
Nsg15
VFALSE
p28215
sbNNg8
(g9
g10
NtRp28216
(dp28217
g13
Nsg14
Nsg15
VFALSE
p28218
sbNNg8
(g9
g10
NtRp28219
(dp28220
g13
Nsg14
Nsg15
VFALSE
p28221
sbNg8
(g9
g10
NtRp28222
(dp28223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/420378d7-d90b-43f7-97f5-df175bf94a23.png
p28224
sbNg8
(g9
g10
NtRp28225
(dp28226
g13
Nsg14
Nsg15
V2019-06-04
p28227
sbNNg8
(g9
g10
NtRp28228
(dp28229
g13
Nsg14
Nsg15
Vland use|urban area
p28230
sbg8
(g9
g10
NtRp28231
(dp28232
g13
Nsg14
Nsg15
Vvector
p28233
sbg8
(g9
g10
NtRp28234
(dp28235
g13
Nsg14
Nsg15
VSHP
p28236
sbNg8
(g9
g10
NtRp28237
(dp28238
g13
Nsg14
Nsg15
V1:10000
p28239
sbNg8
(g9
g10
NtRp28240
(dp28241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50622440509230951181B0 (PS) (Date: 2005/09/23)
p28242
sbg8
(g9
g10
NtRp28243
(dp28244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/420378d7-d90b-43f7-97f5-df175bf94a23
p28245
sbg8
(g9
g10
NtRp28246
(dp28247
g13
Nsg14
g74
sg15
V2005
p28248
sbg8
(g9
g10
NtRp28249
(dp28250
g13
Nsg14
g74
sg15
V2005
p28251
sbg8
(g9
g10
NtRp28252
(dp28253
g13
Nsg14
Nsg15
VFALSE
p28254
sbg8
(g9
g10
NtRp28255
(dp28256
g13
Nsg14
Nsg15
VFrankfurt (Oder)|Germany|Land use
p28257
sbg8
(g9
g10
NtRp28258
(dp28259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28260
sbg8
(g9
g10
NtRp28261
(dp28262
g13
Nsg14
Nsg15
VFALSE
p28263
sbNg8
(g9
g10
NtRp28264
(dp28265
g13
Nsg14
Nsg15
VFALSE
p28266
sbNNNNNNNg8
(g9
g10
NtRp28267
(dp28268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28269
(dp28270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28271
(dp28272
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-de029l_frankfurt_oder_2005
p28273
sbNg8
(g9
g10
NtRp28274
(dp28275
g13
Nsg14
Nsg15
Vobsolete
p28276
sbtp28277
a(g8
(g9
g10
NtRp28278
(dp28279
g13
Nsg14
Nsg15
V3895def6-370f-4d47-93f1-9a00929d7401
p28280
sbNg8
(g9
g10
NtRp28281
(dp28282
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Trnava
p28283
sbNNNNNg8
(g9
g10
NtRp28284
(dp28285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28286
sbg8
(g23
g10
NtRp28287
(dp28288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28289
sbNg8
(g9
g10
NtRp28290
(dp28291
g13
Nsg14
Nsg15
VFALSE
p28292
sbNNNg8
(g9
g10
NtRp28293
(dp28294
g13
Nsg14
Nsg15
VFALSE
p28295
sbNNg8
(g9
g10
NtRp28296
(dp28297
g13
Nsg14
Nsg15
VFALSE
p28298
sbNNg8
(g9
g10
NtRp28299
(dp28300
g13
Nsg14
Nsg15
VFALSE
p28301
sbNg8
(g9
g10
NtRp28302
(dp28303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3895def6-370f-4d47-93f1-9a00929d7401.png
p28304
sbNg8
(g9
g10
NtRp28305
(dp28306
g13
Nsg14
Nsg15
V2019-06-04
p28307
sbNNg8
(g9
g10
NtRp28308
(dp28309
g13
Nsg14
Nsg15
Vland use|urban area
p28310
sbg8
(g9
g10
NtRp28311
(dp28312
g13
Nsg14
Nsg15
Vvector
p28313
sbg8
(g9
g10
NtRp28314
(dp28315
g13
Nsg14
Nsg15
VSHP
p28316
sbNg8
(g9
g10
NtRp28317
(dp28318
g13
Nsg14
Nsg15
V1:10000
p28319
sbNg8
(g9
g10
NtRp28320
(dp28321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50712520707201000371B0 (PS) (Date: 2007/07/20)
p28322
sbg8
(g9
g10
NtRp28323
(dp28324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3895def6-370f-4d47-93f1-9a00929d7401
p28325
sbg8
(g9
g10
NtRp28326
(dp28327
g13
Nsg14
g74
sg15
V2007
p28328
sbg8
(g9
g10
NtRp28329
(dp28330
g13
Nsg14
g74
sg15
V2007
p28331
sbg8
(g9
g10
NtRp28332
(dp28333
g13
Nsg14
Nsg15
VFALSE
p28334
sbg8
(g9
g10
NtRp28335
(dp28336
g13
Nsg14
Nsg15
VLand use|Slovakia|Trnava
p28337
sbg8
(g9
g10
NtRp28338
(dp28339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28340
sbg8
(g9
g10
NtRp28341
(dp28342
g13
Nsg14
Nsg15
VFALSE
p28343
sbNg8
(g9
g10
NtRp28344
(dp28345
g13
Nsg14
Nsg15
VFALSE
p28346
sbNNNNNNNg8
(g9
g10
NtRp28347
(dp28348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28349
(dp28350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28351
(dp28352
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-sk007l_trnava_2007
p28353
sbNg8
(g9
g10
NtRp28354
(dp28355
g13
Nsg14
Nsg15
Vobsolete
p28356
sbtp28357
a(g8
(g9
g10
NtRp28358
(dp28359
g13
Nsg14
Nsg15
V5c710926-7b07-4340-8bab-2466ad145cf6
p28360
sbNg8
(g9
g10
NtRp28361
(dp28362
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Valladolid
p28363
sbNNNNNg8
(g9
g10
NtRp28364
(dp28365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28366
sbg8
(g23
g10
NtRp28367
(dp28368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28369
sbNg8
(g9
g10
NtRp28370
(dp28371
g13
Nsg14
Nsg15
VFALSE
p28372
sbNNNg8
(g9
g10
NtRp28373
(dp28374
g13
Nsg14
Nsg15
VFALSE
p28375
sbNNg8
(g9
g10
NtRp28376
(dp28377
g13
Nsg14
Nsg15
VFALSE
p28378
sbNNg8
(g9
g10
NtRp28379
(dp28380
g13
Nsg14
Nsg15
VFALSE
p28381
sbNg8
(g9
g10
NtRp28382
(dp28383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c710926-7b07-4340-8bab-2466ad145cf6.png
p28384
sbNg8
(g9
g10
NtRp28385
(dp28386
g13
Nsg14
Nsg15
V2019-06-04
p28387
sbNNg8
(g9
g10
NtRp28388
(dp28389
g13
Nsg14
Nsg15
Vland use|urban area
p28390
sbg8
(g9
g10
NtRp28391
(dp28392
g13
Nsg14
Nsg15
Vvector
p28393
sbg8
(g9
g10
NtRp28394
(dp28395
g13
Nsg14
Nsg15
VSHP
p28396
sbNg8
(g9
g10
NtRp28397
(dp28398
g13
Nsg14
Nsg15
V1:10000
p28399
sbNg8
(g9
g10
NtRp28400
(dp28401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00183756069 (PS) (Date: 2008/08/09) \u000a                      * SPOT 5 2,50 m - 00183756070 (PS) (Date: 2008/08/25) \u000a                      * SPOT 5 2,50 m - 00183756071 (PS) (Date: 2008/08/25) \u000a                      * SPOT 5 2,50 m - 00183538074 (PS) (Date: 2008/11/22)
p28402
sbg8
(g9
g10
NtRp28403
(dp28404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c710926-7b07-4340-8bab-2466ad145cf6
p28405
sbg8
(g9
g10
NtRp28406
(dp28407
g13
Nsg14
g74
sg15
V2008
p28408
sbg8
(g9
g10
NtRp28409
(dp28410
g13
Nsg14
g74
sg15
V2008
p28411
sbg8
(g9
g10
NtRp28412
(dp28413
g13
Nsg14
Nsg15
VFALSE
p28414
sbg8
(g9
g10
NtRp28415
(dp28416
g13
Nsg14
Nsg15
VLand use|Spain|Valladolid
p28417
sbg8
(g9
g10
NtRp28418
(dp28419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28420
sbg8
(g9
g10
NtRp28421
(dp28422
g13
Nsg14
Nsg15
VFALSE
p28423
sbNg8
(g9
g10
NtRp28424
(dp28425
g13
Nsg14
Nsg15
VFALSE
p28426
sbNNNNNNNg8
(g9
g10
NtRp28427
(dp28428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28429
(dp28430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28431
(dp28432
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es009l_valladolid_2008
p28433
sbNg8
(g9
g10
NtRp28434
(dp28435
g13
Nsg14
Nsg15
Vobsolete
p28436
sbtp28437
a(g8
(g9
g10
NtRp28438
(dp28439
g13
Nsg14
Nsg15
Vf59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1
p28440
sbNg8
(g9
g10
NtRp28441
(dp28442
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Liberec
p28443
sbNNNNNg8
(g9
g10
NtRp28444
(dp28445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28446
sbg8
(g23
g10
NtRp28447
(dp28448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28449
sbNg8
(g9
g10
NtRp28450
(dp28451
g13
Nsg14
Nsg15
VFALSE
p28452
sbNNNg8
(g9
g10
NtRp28453
(dp28454
g13
Nsg14
Nsg15
VFALSE
p28455
sbNNg8
(g9
g10
NtRp28456
(dp28457
g13
Nsg14
Nsg15
VFALSE
p28458
sbNNg8
(g9
g10
NtRp28459
(dp28460
g13
Nsg14
Nsg15
VFALSE
p28461
sbNg8
(g9
g10
NtRp28462
(dp28463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1.png
p28464
sbNg8
(g9
g10
NtRp28465
(dp28466
g13
Nsg14
Nsg15
V2019-06-04
p28467
sbNNg8
(g9
g10
NtRp28468
(dp28469
g13
Nsg14
Nsg15
Vland use|urban area
p28470
sbg8
(g9
g10
NtRp28471
(dp28472
g13
Nsg14
Nsg15
Vvector
p28473
sbg8
(g9
g10
NtRp28474
(dp28475
g13
Nsg14
Nsg15
VSHP
p28476
sbNg8
(g9
g10
NtRp28477
(dp28478
g13
Nsg14
Nsg15
V1:10000
p28479
sbNg8
(g9
g10
NtRp28480
(dp28481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800017 (PS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00185800021 (PS) (Date: 2007/09/24)
p28482
sbg8
(g9
g10
NtRp28483
(dp28484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1
p28485
sbg8
(g9
g10
NtRp28486
(dp28487
g13
Nsg14
g74
sg15
V2006
p28488
sbg8
(g9
g10
NtRp28489
(dp28490
g13
Nsg14
g74
sg15
V2007
p28491
sbg8
(g9
g10
NtRp28492
(dp28493
g13
Nsg14
Nsg15
VTRUE
p28494
sbg8
(g9
g10
NtRp28495
(dp28496
g13
Nsg14
Nsg15
VCzechia|Land use|Liberec
p28497
sbg8
(g9
g10
NtRp28498
(dp28499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28500
sbg8
(g9
g10
NtRp28501
(dp28502
g13
Nsg14
Nsg15
VFALSE
p28503
sbNg8
(g9
g10
NtRp28504
(dp28505
g13
Nsg14
Nsg15
VFALSE
p28506
sbNNNNNNNg8
(g9
g10
NtRp28507
(dp28508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28509
(dp28510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28511
(dp28512
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz007l_liberec_2006-2007
p28513
sbNg8
(g9
g10
NtRp28514
(dp28515
g13
Nsg14
Nsg15
Vobsolete
p28516
sbtp28517
a(g8
(g9
g10
NtRp28518
(dp28519
g13
Nsg14
Nsg15
V5f49a730-cbff-48e2-8354-b7756cbac7fb
p28520
sbNg8
(g9
g10
NtRp28521
(dp28522
g13
Nsg14
Nsg15
VUrban Atlas - Austria - Salzburg
p28523
sbNNNNNg8
(g9
g10
NtRp28524
(dp28525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28526
sbg8
(g23
g10
NtRp28527
(dp28528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28529
sbNg8
(g9
g10
NtRp28530
(dp28531
g13
Nsg14
Nsg15
VFALSE
p28532
sbNNNg8
(g9
g10
NtRp28533
(dp28534
g13
Nsg14
Nsg15
VFALSE
p28535
sbNNg8
(g9
g10
NtRp28536
(dp28537
g13
Nsg14
Nsg15
VFALSE
p28538
sbNNg8
(g9
g10
NtRp28539
(dp28540
g13
Nsg14
Nsg15
VFALSE
p28541
sbNg8
(g9
g10
NtRp28542
(dp28543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f49a730-cbff-48e2-8354-b7756cbac7fb.png
p28544
sbNg8
(g9
g10
NtRp28545
(dp28546
g13
Nsg14
Nsg15
V2019-06-04
p28547
sbNNg8
(g9
g10
NtRp28548
(dp28549
g13
Nsg14
Nsg15
Vland use|urban area
p28550
sbg8
(g9
g10
NtRp28551
(dp28552
g13
Nsg14
Nsg15
Vvector
p28553
sbg8
(g9
g10
NtRp28554
(dp28555
g13
Nsg14
Nsg15
VSHP
p28556
sbNg8
(g9
g10
NtRp28557
(dp28558
g13
Nsg14
Nsg15
V1:10000
p28559
sbNg8
(g9
g10
NtRp28560
(dp28561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50632531004081007412B0 (Date: 2010/04/08) \u000a                      * Spot 5 2,50 m - 50632541004081007492B0 (Date: 2010/04/08) \u000a                      * Spot 5 2,50 m - 50642541009120949302B0 (Date: 2010/09/12)
p28562
sbg8
(g9
g10
NtRp28563
(dp28564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f49a730-cbff-48e2-8354-b7756cbac7fb
p28565
sbg8
(g9
g10
NtRp28566
(dp28567
g13
Nsg14
g74
sg15
V2010
p28568
sbg8
(g9
g10
NtRp28569
(dp28570
g13
Nsg14
g74
sg15
V2010
p28571
sbg8
(g9
g10
NtRp28572
(dp28573
g13
Nsg14
Nsg15
VFALSE
p28574
sbg8
(g9
g10
NtRp28575
(dp28576
g13
Nsg14
Nsg15
VAustria|Land use|Salzburg
p28577
sbg8
(g9
g10
NtRp28578
(dp28579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28580
sbg8
(g9
g10
NtRp28581
(dp28582
g13
Nsg14
Nsg15
VFALSE
p28583
sbNg8
(g9
g10
NtRp28584
(dp28585
g13
Nsg14
Nsg15
VFALSE
p28586
sbNNNNNNNg8
(g9
g10
NtRp28587
(dp28588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28589
(dp28590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28591
(dp28592
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-at004l_salzburg_2010
p28593
sbNg8
(g9
g10
NtRp28594
(dp28595
g13
Nsg14
Nsg15
Vobsolete
p28596
sbtp28597
a(g8
(g9
g10
NtRp28598
(dp28599
g13
Nsg14
Nsg15
Vb265bee7-b11b-45f8-9cb9-33b01b004628
p28600
sbNg8
(g9
g10
NtRp28601
(dp28602
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Umeå
p28603
sbNNNNNg8
(g9
g10
NtRp28604
(dp28605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28606
sbg8
(g23
g10
NtRp28607
(dp28608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28609
sbNg8
(g9
g10
NtRp28610
(dp28611
g13
Nsg14
Nsg15
VFALSE
p28612
sbNNNg8
(g9
g10
NtRp28613
(dp28614
g13
Nsg14
Nsg15
VFALSE
p28615
sbNNg8
(g9
g10
NtRp28616
(dp28617
g13
Nsg14
Nsg15
VFALSE
p28618
sbNNg8
(g9
g10
NtRp28619
(dp28620
g13
Nsg14
Nsg15
VFALSE
p28621
sbNg8
(g9
g10
NtRp28622
(dp28623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b265bee7-b11b-45f8-9cb9-33b01b004628.png
p28624
sbNg8
(g9
g10
NtRp28625
(dp28626
g13
Nsg14
Nsg15
V2019-06-04
p28627
sbNNg8
(g9
g10
NtRp28628
(dp28629
g13
Nsg14
Nsg15
Vland use|urban area
p28630
sbg8
(g9
g10
NtRp28631
(dp28632
g13
Nsg14
Nsg15
Vvector
p28633
sbg8
(g9
g10
NtRp28634
(dp28635
g13
Nsg14
Nsg15
VSHP
p28636
sbNg8
(g9
g10
NtRp28637
(dp28638
g13
Nsg14
Nsg15
V1:10000
p28639
sbNg8
(g9
g10
NtRp28640
(dp28641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - UMEA_1_50542160709281048552_0 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_1_50542160709281048552_1 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_2_50542170709281049032_0 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_2_50542170709281049032_1 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_3_50542180709281049112_0 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_3_50542180709281049112_1 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - UMEA_4_50572170808311045012_0 (PS) (Date: 2008/08/31) \u000a                      * Spot 5 2,50 m - UMEA_4_50572170808311045012_1 (PS) (Date: 2008/08/31) \u000a                      * Spot 5 2,50 m - UMEA_5_50572180710091037292_0 (PS) (Date: 2007/10/09) \u000a                      * Spot 5 2,50 m - UMEA_5_50572180710091037292_1 (PS) (Date: 2007/10/09) \u000a                      * Spot 5 2,50 m - UMEA_6_50572190707031023451_0 (PS) (Date: 2007/07/03) \u000a                      * Spot 5 2,50 m - UMEA_6_50572190707031023451_1 (PS) (Date: 2007/07/03) \u000a                      * Spot 5 2,50 m - UMEA_7_50582170607311006441_0 (PS) (Date: 2006/07/31) \u000a                      * Spot 5 2,50 m - UMEA_7_50582170607311006441_1 (PS) (Date: 2006/07/31) \u000a                      * Spot 5 2,50 m - UMEA_8_50582180609091037492_0 (PS) (Date: 2006/09/09) \u000a                      * Spot 5 2,50 m - UMEA_8_50582180609091037492_1 (PS) (Date: 2006/09/09) \u000a                      * Spot 5 2,50 m - UMEA_9_50582190609091037572_0 (PS) (Date: 2006/09/09) \u000a                      * Spot 5 2,50 m - UMEA_9_50582190609091037572_1 (PS) (Date: 2006/09/09)
p28642
sbg8
(g9
g10
NtRp28643
(dp28644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b265bee7-b11b-45f8-9cb9-33b01b004628
p28645
sbg8
(g9
g10
NtRp28646
(dp28647
g13
Nsg14
g74
sg15
V2006
p28648
sbg8
(g9
g10
NtRp28649
(dp28650
g13
Nsg14
g74
sg15
V2008
p28651
sbg8
(g9
g10
NtRp28652
(dp28653
g13
Nsg14
Nsg15
VTRUE
p28654
sbg8
(g9
g10
NtRp28655
(dp28656
g13
Nsg14
Nsg15
VLand use|Sweden|Umeå
p28657
sbg8
(g9
g10
NtRp28658
(dp28659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28660
sbg8
(g9
g10
NtRp28661
(dp28662
g13
Nsg14
Nsg15
VFALSE
p28663
sbNg8
(g9
g10
NtRp28664
(dp28665
g13
Nsg14
Nsg15
VFALSE
p28666
sbNNNNNNNg8
(g9
g10
NtRp28667
(dp28668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28669
(dp28670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28671
(dp28672
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-se005l_umea_2006-2008
p28673
sbNg8
(g9
g10
NtRp28674
(dp28675
g13
Nsg14
Nsg15
Vobsolete
p28676
sbtp28677
a(g8
(g9
g10
NtRp28678
(dp28679
g13
Nsg14
Nsg15
V275eb8bc-0cc2-47a7-a11b-c8cb15db92ae
p28680
sbNg8
(g9
g10
NtRp28681
(dp28682
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Eindhoven
p28683
sbNNNNNg8
(g9
g10
NtRp28684
(dp28685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28686
sbg8
(g23
g10
NtRp28687
(dp28688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28689
sbNg8
(g9
g10
NtRp28690
(dp28691
g13
Nsg14
Nsg15
VFALSE
p28692
sbNNNg8
(g9
g10
NtRp28693
(dp28694
g13
Nsg14
Nsg15
VFALSE
p28695
sbNNg8
(g9
g10
NtRp28696
(dp28697
g13
Nsg14
Nsg15
VFALSE
p28698
sbNNg8
(g9
g10
NtRp28699
(dp28700
g13
Nsg14
Nsg15
VFALSE
p28701
sbNg8
(g9
g10
NtRp28702
(dp28703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/275eb8bc-0cc2-47a7-a11b-c8cb15db92ae.png
p28704
sbNg8
(g9
g10
NtRp28705
(dp28706
g13
Nsg14
Nsg15
V2019-06-04
p28707
sbNNg8
(g9
g10
NtRp28708
(dp28709
g13
Nsg14
Nsg15
Vland use|urban area
p28710
sbg8
(g9
g10
NtRp28711
(dp28712
g13
Nsg14
Nsg15
Vvector
p28713
sbg8
(g9
g10
NtRp28714
(dp28715
g13
Nsg14
Nsg15
VSHP
p28716
sbNg8
(g9
g10
NtRp28717
(dp28718
g13
Nsg14
Nsg15
V1:10000
p28719
sbNg8
(g9
g10
NtRp28720
(dp28721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538021 (PS) (Date: 2005/10/10)
p28722
sbg8
(g9
g10
NtRp28723
(dp28724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/275eb8bc-0cc2-47a7-a11b-c8cb15db92ae
p28725
sbg8
(g9
g10
NtRp28726
(dp28727
g13
Nsg14
g74
sg15
V2005
p28728
sbg8
(g9
g10
NtRp28729
(dp28730
g13
Nsg14
g74
sg15
V2005
p28731
sbg8
(g9
g10
NtRp28732
(dp28733
g13
Nsg14
Nsg15
VFALSE
p28734
sbg8
(g9
g10
NtRp28735
(dp28736
g13
Nsg14
Nsg15
VEindhoven|Land use|Netherlands
p28737
sbg8
(g9
g10
NtRp28738
(dp28739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28740
sbg8
(g9
g10
NtRp28741
(dp28742
g13
Nsg14
Nsg15
VFALSE
p28743
sbNg8
(g9
g10
NtRp28744
(dp28745
g13
Nsg14
Nsg15
VFALSE
p28746
sbNNNNNNNg8
(g9
g10
NtRp28747
(dp28748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28749
(dp28750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28751
(dp28752
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl005l_eindhoven_2005
p28753
sbNg8
(g9
g10
NtRp28754
(dp28755
g13
Nsg14
Nsg15
Vobsolete
p28756
sbtp28757
a(g8
(g9
g10
NtRp28758
(dp28759
g13
Nsg14
Nsg15
Vfe1f7605-8f89-44b6-9a05-4440ac67b023
p28760
sbNg8
(g9
g10
NtRp28761
(dp28762
g13
Nsg14
Nsg15
VUrban Atlas - Romania - C\u0103l\u0103ra\u015fi
p28763
sbNNNNNg8
(g9
g10
NtRp28764
(dp28765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28766
sbg8
(g23
g10
NtRp28767
(dp28768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28769
sbNg8
(g9
g10
NtRp28770
(dp28771
g13
Nsg14
Nsg15
VFALSE
p28772
sbNNNg8
(g9
g10
NtRp28773
(dp28774
g13
Nsg14
Nsg15
VFALSE
p28775
sbNNg8
(g9
g10
NtRp28776
(dp28777
g13
Nsg14
Nsg15
VFALSE
p28778
sbNNg8
(g9
g10
NtRp28779
(dp28780
g13
Nsg14
Nsg15
VFALSE
p28781
sbNg8
(g9
g10
NtRp28782
(dp28783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe1f7605-8f89-44b6-9a05-4440ac67b023.png
p28784
sbNg8
(g9
g10
NtRp28785
(dp28786
g13
Nsg14
Nsg15
V2019-06-04
p28787
sbNNg8
(g9
g10
NtRp28788
(dp28789
g13
Nsg14
Nsg15
Vland use|urban area
p28790
sbg8
(g9
g10
NtRp28791
(dp28792
g13
Nsg14
Nsg15
Vvector
p28793
sbg8
(g9
g10
NtRp28794
(dp28795
g13
Nsg14
Nsg15
VSHP
p28796
sbNg8
(g9
g10
NtRp28797
(dp28798
g13
Nsg14
Nsg15
V1:10000
p28799
sbNg8
(g9
g10
NtRp28800
(dp28801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50942610603260913461B0 (PS) (Date: 2006/03/26)
p28802
sbg8
(g9
g10
NtRp28803
(dp28804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe1f7605-8f89-44b6-9a05-4440ac67b023
p28805
sbg8
(g9
g10
NtRp28806
(dp28807
g13
Nsg14
g74
sg15
V2006
p28808
sbg8
(g9
g10
NtRp28809
(dp28810
g13
Nsg14
g74
sg15
V2006
p28811
sbg8
(g9
g10
NtRp28812
(dp28813
g13
Nsg14
Nsg15
VFALSE
p28814
sbg8
(g9
g10
NtRp28815
(dp28816
g13
Nsg14
Nsg15
VC\u0103l\u0103ra\u015fi|Land use|Romania
p28817
sbg8
(g9
g10
NtRp28818
(dp28819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28820
sbg8
(g9
g10
NtRp28821
(dp28822
g13
Nsg14
Nsg15
VFALSE
p28823
sbNg8
(g9
g10
NtRp28824
(dp28825
g13
Nsg14
Nsg15
VFALSE
p28826
sbNNNNNNNg8
(g9
g10
NtRp28827
(dp28828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28829
(dp28830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28831
(dp28832
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro012l_calarasi_2006
p28833
sbNg8
(g9
g10
NtRp28834
(dp28835
g13
Nsg14
Nsg15
Vobsolete
p28836
sbtp28837
a(g8
(g9
g10
NtRp28838
(dp28839
g13
Nsg14
Nsg15
V5b4aaed9-25bc-4d99-844a-0cbbc1584ad0
p28840
sbNg8
(g9
g10
NtRp28841
(dp28842
g13
Nsg14
Nsg15
VUrban Atlas - France - Tours
p28843
sbNNNNNg8
(g9
g10
NtRp28844
(dp28845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28846
sbg8
(g23
g10
NtRp28847
(dp28848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28849
sbNg8
(g9
g10
NtRp28850
(dp28851
g13
Nsg14
Nsg15
VFALSE
p28852
sbNNNg8
(g9
g10
NtRp28853
(dp28854
g13
Nsg14
Nsg15
VFALSE
p28855
sbNNg8
(g9
g10
NtRp28856
(dp28857
g13
Nsg14
Nsg15
VFALSE
p28858
sbNNg8
(g9
g10
NtRp28859
(dp28860
g13
Nsg14
Nsg15
VFALSE
p28861
sbNg8
(g9
g10
NtRp28862
(dp28863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b4aaed9-25bc-4d99-844a-0cbbc1584ad0.png
p28864
sbNg8
(g9
g10
NtRp28865
(dp28866
g13
Nsg14
Nsg15
V2019-06-04
p28867
sbNNg8
(g9
g10
NtRp28868
(dp28869
g13
Nsg14
Nsg15
Vland use|urban area
p28870
sbg8
(g9
g10
NtRp28871
(dp28872
g13
Nsg14
Nsg15
Vvector
p28873
sbg8
(g9
g10
NtRp28874
(dp28875
g13
Nsg14
Nsg15
VSHP
p28876
sbNg8
(g9
g10
NtRp28877
(dp28878
g13
Nsg14
Nsg15
V1:10000
p28879
sbNg8
(g9
g10
NtRp28880
(dp28881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50372540908191106402B0 (PS) (Date: 2009/08/19) \u000a                      * Spot 5 2,50 m - 50372550906241042242B0 (PS) (Date: 2009/06/24)
p28882
sbg8
(g9
g10
NtRp28883
(dp28884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b4aaed9-25bc-4d99-844a-0cbbc1584ad0
p28885
sbg8
(g9
g10
NtRp28886
(dp28887
g13
Nsg14
g74
sg15
V2009
p28888
sbg8
(g9
g10
NtRp28889
(dp28890
g13
Nsg14
g74
sg15
V2009
p28891
sbg8
(g9
g10
NtRp28892
(dp28893
g13
Nsg14
Nsg15
VFALSE
p28894
sbg8
(g9
g10
NtRp28895
(dp28896
g13
Nsg14
Nsg15
VFrance|Land use|Tours
p28897
sbg8
(g9
g10
NtRp28898
(dp28899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28900
sbg8
(g9
g10
NtRp28901
(dp28902
g13
Nsg14
Nsg15
VFALSE
p28903
sbNg8
(g9
g10
NtRp28904
(dp28905
g13
Nsg14
Nsg15
VFALSE
p28906
sbNNNNNNNg8
(g9
g10
NtRp28907
(dp28908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28909
(dp28910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28911
(dp28912
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr035l_tours_2009
p28913
sbNg8
(g9
g10
NtRp28914
(dp28915
g13
Nsg14
Nsg15
Vobsolete
p28916
sbtp28917
a(g8
(g9
g10
NtRp28918
(dp28919
g13
Nsg14
Nsg15
V20c72df2-9c8d-4441-87cb-2bc4c90ed929
p28920
sbNg8
(g9
g10
NtRp28921
(dp28922
g13
Nsg14
Nsg15
VUrban Atlas - Lithuania - Kaunas
p28923
sbNNNNNg8
(g9
g10
NtRp28924
(dp28925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p28926
sbg8
(g23
g10
NtRp28927
(dp28928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p28929
sbNg8
(g9
g10
NtRp28930
(dp28931
g13
Nsg14
Nsg15
VFALSE
p28932
sbNNNg8
(g9
g10
NtRp28933
(dp28934
g13
Nsg14
Nsg15
VFALSE
p28935
sbNNg8
(g9
g10
NtRp28936
(dp28937
g13
Nsg14
Nsg15
VFALSE
p28938
sbNNg8
(g9
g10
NtRp28939
(dp28940
g13
Nsg14
Nsg15
VFALSE
p28941
sbNg8
(g9
g10
NtRp28942
(dp28943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20c72df2-9c8d-4441-87cb-2bc4c90ed929.png
p28944
sbNg8
(g9
g10
NtRp28945
(dp28946
g13
Nsg14
Nsg15
V2019-06-04
p28947
sbNNg8
(g9
g10
NtRp28948
(dp28949
g13
Nsg14
Nsg15
Vland use|urban area
p28950
sbg8
(g9
g10
NtRp28951
(dp28952
g13
Nsg14
Nsg15
Vvector
p28953
sbg8
(g9
g10
NtRp28954
(dp28955
g13
Nsg14
Nsg15
VSHP
p28956
sbNg8
(g9
g10
NtRp28957
(dp28958
g13
Nsg14
Nsg15
V1:10000
p28959
sbNg8
(g9
g10
NtRp28960
(dp28961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800001 (PS) (Date: 2005/08/19) \u000a                      * Spot 5 2,50 m - 00182800005 (PS) (Date: 2005/10/09) \u000a                      * Spot 5 2,50 m - 00182800011 (PS) (Date: 2005/11/03)
p28962
sbg8
(g9
g10
NtRp28963
(dp28964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20c72df2-9c8d-4441-87cb-2bc4c90ed929
p28965
sbg8
(g9
g10
NtRp28966
(dp28967
g13
Nsg14
g74
sg15
V2005
p28968
sbg8
(g9
g10
NtRp28969
(dp28970
g13
Nsg14
g74
sg15
V2005
p28971
sbg8
(g9
g10
NtRp28972
(dp28973
g13
Nsg14
Nsg15
VFALSE
p28974
sbg8
(g9
g10
NtRp28975
(dp28976
g13
Nsg14
Nsg15
VKaunas|Land use|Lithuania
p28977
sbg8
(g9
g10
NtRp28978
(dp28979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p28980
sbg8
(g9
g10
NtRp28981
(dp28982
g13
Nsg14
Nsg15
VFALSE
p28983
sbNg8
(g9
g10
NtRp28984
(dp28985
g13
Nsg14
Nsg15
VFALSE
p28986
sbNNNNNNNg8
(g9
g10
NtRp28987
(dp28988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp28989
(dp28990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp28991
(dp28992
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-lt002l_kaunas_2005
p28993
sbNg8
(g9
g10
NtRp28994
(dp28995
g13
Nsg14
Nsg15
Vobsolete
p28996
sbtp28997
a(g8
(g9
g10
NtRp28998
(dp28999
g13
Nsg14
Nsg15
Vab430549-a49c-42b0-b17a-c48c9e1a13ae
p29000
sbNg8
(g9
g10
NtRp29001
(dp29002
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Barcelona
p29003
sbNNNNNg8
(g9
g10
NtRp29004
(dp29005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29006
sbg8
(g23
g10
NtRp29007
(dp29008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29009
sbNg8
(g9
g10
NtRp29010
(dp29011
g13
Nsg14
Nsg15
VFALSE
p29012
sbNNNg8
(g9
g10
NtRp29013
(dp29014
g13
Nsg14
Nsg15
VFALSE
p29015
sbNNg8
(g9
g10
NtRp29016
(dp29017
g13
Nsg14
Nsg15
VFALSE
p29018
sbNNg8
(g9
g10
NtRp29019
(dp29020
g13
Nsg14
Nsg15
VFALSE
p29021
sbNg8
(g9
g10
NtRp29022
(dp29023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ab430549-a49c-42b0-b17a-c48c9e1a13ae.png
p29024
sbNg8
(g9
g10
NtRp29025
(dp29026
g13
Nsg14
Nsg15
V2019-06-04
p29027
sbNNg8
(g9
g10
NtRp29028
(dp29029
g13
Nsg14
Nsg15
Vland use|urban area
p29030
sbg8
(g9
g10
NtRp29031
(dp29032
g13
Nsg14
Nsg15
Vvector
p29033
sbg8
(g9
g10
NtRp29034
(dp29035
g13
Nsg14
Nsg15
VSHP
p29036
sbNg8
(g9
g10
NtRp29037
(dp29038
g13
Nsg14
Nsg15
V1:10000
p29039
sbNg8
(g9
g10
NtRp29040
(dp29041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182759001 (PS) (Date: 2007/05/21) \u000a                      * Spot 5 2,50 m - 00182759002 (PS) (Date: 2007/11/15) \u000a                      * Spot 5 2,50 m - 00182759003 (PS) (Date: 2006/05/28)
p29042
sbg8
(g9
g10
NtRp29043
(dp29044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab430549-a49c-42b0-b17a-c48c9e1a13ae
p29045
sbg8
(g9
g10
NtRp29046
(dp29047
g13
Nsg14
g74
sg15
V2006
p29048
sbg8
(g9
g10
NtRp29049
(dp29050
g13
Nsg14
g74
sg15
V2007
p29051
sbg8
(g9
g10
NtRp29052
(dp29053
g13
Nsg14
Nsg15
VTRUE
p29054
sbg8
(g9
g10
NtRp29055
(dp29056
g13
Nsg14
Nsg15
VBarcelona|Land use|Spain
p29057
sbg8
(g9
g10
NtRp29058
(dp29059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29060
sbg8
(g9
g10
NtRp29061
(dp29062
g13
Nsg14
Nsg15
VFALSE
p29063
sbNg8
(g9
g10
NtRp29064
(dp29065
g13
Nsg14
Nsg15
VFALSE
p29066
sbNNNNNNNg8
(g9
g10
NtRp29067
(dp29068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29069
(dp29070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29071
(dp29072
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-es002l_barcelona_2006-2007
p29073
sbNg8
(g9
g10
NtRp29074
(dp29075
g13
Nsg14
Nsg15
Vobsolete
p29076
sbtp29077
a(g8
(g9
g10
NtRp29078
(dp29079
g13
Nsg14
Nsg15
V16bd8758-e76f-4dfc-bce6-097113e56080
p29080
sbNg8
(g9
g10
NtRp29081
(dp29082
g13
Nsg14
Nsg15
VUrban Atlas - France - Rouen
p29083
sbNNNNNg8
(g9
g10
NtRp29084
(dp29085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29086
sbg8
(g23
g10
NtRp29087
(dp29088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29089
sbNg8
(g9
g10
NtRp29090
(dp29091
g13
Nsg14
Nsg15
VFALSE
p29092
sbNNNg8
(g9
g10
NtRp29093
(dp29094
g13
Nsg14
Nsg15
VFALSE
p29095
sbNNg8
(g9
g10
NtRp29096
(dp29097
g13
Nsg14
Nsg15
VFALSE
p29098
sbNNg8
(g9
g10
NtRp29099
(dp29100
g13
Nsg14
Nsg15
VFALSE
p29101
sbNg8
(g9
g10
NtRp29102
(dp29103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/16bd8758-e76f-4dfc-bce6-097113e56080.png
p29104
sbNg8
(g9
g10
NtRp29105
(dp29106
g13
Nsg14
Nsg15
V2019-06-04
p29107
sbNNg8
(g9
g10
NtRp29108
(dp29109
g13
Nsg14
Nsg15
Vland use|urban area
p29110
sbg8
(g9
g10
NtRp29111
(dp29112
g13
Nsg14
Nsg15
Vvector
p29113
sbg8
(g9
g10
NtRp29114
(dp29115
g13
Nsg14
Nsg15
VSHP
p29116
sbNg8
(g9
g10
NtRp29117
(dp29118
g13
Nsg14
Nsg15
V1:10000
p29119
sbNg8
(g9
g10
NtRp29120
(dp29121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50352490505271123082J3 (XS) (Date: 2005/05/27) \u000a                      * Spot 5 2,50 m - 50362500510041121141B0 (P) (Date: 2005/10/04) \u000a                      * ALOS 10 m - AL_AV2_X_20070328_113715_DLR_6249_PRUTM (XS) (Date: 2007/03/28) \u000a                      * ALOS 10 m - AL_AV2_X_20070328_113723_DLR_6249_PRUTM (XS) (Date: 2007/03/28) \u000a                      * ALOS 10 m - AL_AV2_X_20080704_105956_DLR_13017_PRUTM (XS) (Date: 2008/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070603_110540_DLR_7226_PRUTM (P) (Date: 2007/06/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080217_110143_DLR_11004_PRUTM (P) (Date: 2008/02/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080217_110148_DLR_11004_PRUTM (P) (Date: 2008/02/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080217_110152_DLR_11004_PRUTM (P) (Date: 2008/02/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090406_110356_DLR_17043_PRUTM (P) (Date: 2009/04/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090406_110400_DLR_17043_PRUTM (P) (Date: 2009/04/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090406_110404_DLR_17043_PRUTM (P) (Date: 2009/04/06) \u000a                      * RapidEye 5 m - 2009-07-01T114645_RE1_3A-NAC_6211765_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114646_RE1_3A-NAC_62117652110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114647_RE1_3A-NAC_6211748_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114648_RE1_3A-NAC_6211758_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114649_RE1_3A-NAC_6211761_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114650_RE1_3A-NAC_6211757_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114653_RE1_3A-NAC_6211759_110270 (XS) (Date: 2009/07/01) \u000a                      * RapidEye 5 m - 2009-07-01T114653_RE1_3A-NAC_6211760_110270 (XS) (Date: 2009/07/01)
p29122
sbg8
(g9
g10
NtRp29123
(dp29124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16bd8758-e76f-4dfc-bce6-097113e56080
p29125
sbg8
(g9
g10
NtRp29126
(dp29127
g13
Nsg14
g74
sg15
V2005
p29128
sbg8
(g9
g10
NtRp29129
(dp29130
g13
Nsg14
g74
sg15
V2009
p29131
sbg8
(g9
g10
NtRp29132
(dp29133
g13
Nsg14
Nsg15
VTRUE
p29134
sbg8
(g9
g10
NtRp29135
(dp29136
g13
Nsg14
Nsg15
VFrance|Land use|Rouen
p29137
sbg8
(g9
g10
NtRp29138
(dp29139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29140
sbg8
(g9
g10
NtRp29141
(dp29142
g13
Nsg14
Nsg15
VFALSE
p29143
sbNg8
(g9
g10
NtRp29144
(dp29145
g13
Nsg14
Nsg15
VFALSE
p29146
sbNNNNNNNg8
(g9
g10
NtRp29147
(dp29148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29149
(dp29150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29151
(dp29152
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr015l_rouen_2005-2009
p29153
sbNg8
(g9
g10
NtRp29154
(dp29155
g13
Nsg14
Nsg15
Vobsolete
p29156
sbtp29157
a(g8
(g9
g10
NtRp29158
(dp29159
g13
Nsg14
Nsg15
Vc379862f-cba9-4ea2-8cc1-723ead929f7b
p29160
sbNg8
(g9
g10
NtRp29161
(dp29162
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Carlsbad (Karlovy Vary)
p29163
sbNNNNNg8
(g9
g10
NtRp29164
(dp29165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29166
sbg8
(g23
g10
NtRp29167
(dp29168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29169
sbNg8
(g9
g10
NtRp29170
(dp29171
g13
Nsg14
Nsg15
VFALSE
p29172
sbNNNg8
(g9
g10
NtRp29173
(dp29174
g13
Nsg14
Nsg15
VFALSE
p29175
sbNNg8
(g9
g10
NtRp29176
(dp29177
g13
Nsg14
Nsg15
VFALSE
p29178
sbNNg8
(g9
g10
NtRp29179
(dp29180
g13
Nsg14
Nsg15
VFALSE
p29181
sbNg8
(g9
g10
NtRp29182
(dp29183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c379862f-cba9-4ea2-8cc1-723ead929f7b.png
p29184
sbNg8
(g9
g10
NtRp29185
(dp29186
g13
Nsg14
Nsg15
V2019-06-04
p29187
sbNNg8
(g9
g10
NtRp29188
(dp29189
g13
Nsg14
Nsg15
Vland use|urban area
p29190
sbg8
(g9
g10
NtRp29191
(dp29192
g13
Nsg14
Nsg15
Vvector
p29193
sbg8
(g9
g10
NtRp29194
(dp29195
g13
Nsg14
Nsg15
VSHP
p29196
sbNg8
(g9
g10
NtRp29197
(dp29198
g13
Nsg14
Nsg15
V1:10000
p29199
sbNg8
(g9
g10
NtRp29200
(dp29201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50602481004291003282B0 (PS) (Date: 2010/04/29) \u000a                      * Spot 5 2,50 m - 50602491004291003362B0 (PS) (Date: 2010/04/29)
p29202
sbg8
(g9
g10
NtRp29203
(dp29204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c379862f-cba9-4ea2-8cc1-723ead929f7b
p29205
sbg8
(g9
g10
NtRp29206
(dp29207
g13
Nsg14
g74
sg15
V2010
p29208
sbg8
(g9
g10
NtRp29209
(dp29210
g13
Nsg14
g74
sg15
V2010
p29211
sbg8
(g9
g10
NtRp29212
(dp29213
g13
Nsg14
Nsg15
VFALSE
p29214
sbg8
(g9
g10
NtRp29215
(dp29216
g13
Nsg14
Nsg15
VCarlsbad|Czechia|Land use
p29217
sbg8
(g9
g10
NtRp29218
(dp29219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29220
sbg8
(g9
g10
NtRp29221
(dp29222
g13
Nsg14
Nsg15
VFALSE
p29223
sbNg8
(g9
g10
NtRp29224
(dp29225
g13
Nsg14
Nsg15
VFALSE
p29226
sbNNNNNNNg8
(g9
g10
NtRp29227
(dp29228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29229
(dp29230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29231
(dp29232
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz013l_karlovyvary_2010
p29233
sbNg8
(g9
g10
NtRp29234
(dp29235
g13
Nsg14
Nsg15
Vobsolete
p29236
sbtp29237
a(g8
(g9
g10
NtRp29238
(dp29239
g13
Nsg14
Nsg15
Vecac6966-a9f8-4293-a877-0e22f730fdb3
p29240
sbNg8
(g9
g10
NtRp29241
(dp29242
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Gda\u0144sk
p29243
sbNNNNNg8
(g9
g10
NtRp29244
(dp29245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29246
sbg8
(g23
g10
NtRp29247
(dp29248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29249
sbNg8
(g9
g10
NtRp29250
(dp29251
g13
Nsg14
Nsg15
VFALSE
p29252
sbNNNg8
(g9
g10
NtRp29253
(dp29254
g13
Nsg14
Nsg15
VFALSE
p29255
sbNNg8
(g9
g10
NtRp29256
(dp29257
g13
Nsg14
Nsg15
VFALSE
p29258
sbNNg8
(g9
g10
NtRp29259
(dp29260
g13
Nsg14
Nsg15
VFALSE
p29261
sbNg8
(g9
g10
NtRp29262
(dp29263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ecac6966-a9f8-4293-a877-0e22f730fdb3.png
p29264
sbNg8
(g9
g10
NtRp29265
(dp29266
g13
Nsg14
Nsg15
V2019-06-04
p29267
sbNNg8
(g9
g10
NtRp29268
(dp29269
g13
Nsg14
Nsg15
Vland use|urban area
p29270
sbg8
(g9
g10
NtRp29271
(dp29272
g13
Nsg14
Nsg15
Vvector
p29273
sbg8
(g9
g10
NtRp29274
(dp29275
g13
Nsg14
Nsg15
VSHP
p29276
sbNg8
(g9
g10
NtRp29277
(dp29278
g13
Nsg14
Nsg15
V1:10000
p29279
sbNg8
(g9
g10
NtRp29280
(dp29281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394015 (PS) (Date: 2005/10/28) \u000a                      * Spot 5 2,50 m - 00186394026 (PS) (Date: 2006/07/05) \u000a                      * Spot 5 2,50 m - 00186394032 (PS) (Date: 2006/07/27) \u000a                      * Spot 5 2,50 m - 00186394040 (PS) (Date: 2007/07/15) \u000a                      * Spot 5 2,50 m - 00186394041 (PS) (Date: 2007/07/15)
p29282
sbg8
(g9
g10
NtRp29283
(dp29284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ecac6966-a9f8-4293-a877-0e22f730fdb3
p29285
sbg8
(g9
g10
NtRp29286
(dp29287
g13
Nsg14
g74
sg15
V2005
p29288
sbg8
(g9
g10
NtRp29289
(dp29290
g13
Nsg14
g74
sg15
V2007
p29291
sbg8
(g9
g10
NtRp29292
(dp29293
g13
Nsg14
Nsg15
VTRUE
p29294
sbg8
(g9
g10
NtRp29295
(dp29296
g13
Nsg14
Nsg15
VGda\u0144sk|Land use|Poland
p29297
sbg8
(g9
g10
NtRp29298
(dp29299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29300
sbg8
(g9
g10
NtRp29301
(dp29302
g13
Nsg14
Nsg15
VFALSE
p29303
sbNg8
(g9
g10
NtRp29304
(dp29305
g13
Nsg14
Nsg15
VFALSE
p29306
sbNNNNNNNg8
(g9
g10
NtRp29307
(dp29308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29309
(dp29310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29311
(dp29312
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl006l_gdansk_2005-2007
p29313
sbNg8
(g9
g10
NtRp29314
(dp29315
g13
Nsg14
Nsg15
Vobsolete
p29316
sbtp29317
a(g8
(g9
g10
NtRp29318
(dp29319
g13
Nsg14
Nsg15
V717265bb-ad57-4a20-90f4-5cd456b99051
p29320
sbNg8
(g9
g10
NtRp29321
(dp29322
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Hanover (Hannover)
p29323
sbNNNNNg8
(g9
g10
NtRp29324
(dp29325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29326
sbg8
(g23
g10
NtRp29327
(dp29328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29329
sbNg8
(g9
g10
NtRp29330
(dp29331
g13
Nsg14
Nsg15
VFALSE
p29332
sbNNNg8
(g9
g10
NtRp29333
(dp29334
g13
Nsg14
Nsg15
VFALSE
p29335
sbNNg8
(g9
g10
NtRp29336
(dp29337
g13
Nsg14
Nsg15
VFALSE
p29338
sbNNg8
(g9
g10
NtRp29339
(dp29340
g13
Nsg14
Nsg15
VFALSE
p29341
sbNg8
(g9
g10
NtRp29342
(dp29343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/717265bb-ad57-4a20-90f4-5cd456b99051.png
p29344
sbNg8
(g9
g10
NtRp29345
(dp29346
g13
Nsg14
Nsg15
V2019-06-04
p29347
sbNNg8
(g9
g10
NtRp29348
(dp29349
g13
Nsg14
Nsg15
Vland use|urban area
p29350
sbg8
(g9
g10
NtRp29351
(dp29352
g13
Nsg14
Nsg15
Vvector
p29353
sbg8
(g9
g10
NtRp29354
(dp29355
g13
Nsg14
Nsg15
VSHP
p29356
sbNg8
(g9
g10
NtRp29357
(dp29358
g13
Nsg14
Nsg15
V1:10000
p29359
sbNg8
(g9
g10
NtRp29360
(dp29361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot5 2,50 m - 00183538003 (PS) (Date: 2005/06/15) \u000a                      * Spot5 2,50 m - 00183538015 (PS) (Date: 2005/09/04) \u000a                      * Spot5 2,50 m - 00183538016 (PS) (Date: 2005/09/04) \u000a                      * Spot5 2,50 m - 00183538041 (PS) (Date: 2006/09/14)
p29362
sbg8
(g9
g10
NtRp29363
(dp29364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/717265bb-ad57-4a20-90f4-5cd456b99051
p29365
sbg8
(g9
g10
NtRp29366
(dp29367
g13
Nsg14
g74
sg15
V2005
p29368
sbg8
(g9
g10
NtRp29369
(dp29370
g13
Nsg14
g74
sg15
V2006
p29371
sbg8
(g9
g10
NtRp29372
(dp29373
g13
Nsg14
Nsg15
VTRUE
p29374
sbg8
(g9
g10
NtRp29375
(dp29376
g13
Nsg14
Nsg15
VGermany|Hanover|Land use
p29377
sbg8
(g9
g10
NtRp29378
(dp29379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29380
sbg8
(g9
g10
NtRp29381
(dp29382
g13
Nsg14
Nsg15
VFALSE
p29383
sbNg8
(g9
g10
NtRp29384
(dp29385
g13
Nsg14
Nsg15
VFALSE
p29386
sbNNNNNNNg8
(g9
g10
NtRp29387
(dp29388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29389
(dp29390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29391
(dp29392
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de013l_hannover_2005-2006
p29393
sbNg8
(g9
g10
NtRp29394
(dp29395
g13
Nsg14
Nsg15
Vobsolete
p29396
sbtp29397
a(g8
(g9
g10
NtRp29398
(dp29399
g13
Nsg14
Nsg15
V76d4a578-df79-403a-b0f2-3e22e87cb624
p29400
sbNg8
(g9
g10
NtRp29401
(dp29402
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Craiova
p29403
sbNNNNNg8
(g9
g10
NtRp29404
(dp29405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29406
sbg8
(g23
g10
NtRp29407
(dp29408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29409
sbNg8
(g9
g10
NtRp29410
(dp29411
g13
Nsg14
Nsg15
VFALSE
p29412
sbNNNg8
(g9
g10
NtRp29413
(dp29414
g13
Nsg14
Nsg15
VFALSE
p29415
sbNNg8
(g9
g10
NtRp29416
(dp29417
g13
Nsg14
Nsg15
VFALSE
p29418
sbNNg8
(g9
g10
NtRp29419
(dp29420
g13
Nsg14
Nsg15
VFALSE
p29421
sbNg8
(g9
g10
NtRp29422
(dp29423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/76d4a578-df79-403a-b0f2-3e22e87cb624.png
p29424
sbNg8
(g9
g10
NtRp29425
(dp29426
g13
Nsg14
Nsg15
V2019-06-04
p29427
sbNNg8
(g9
g10
NtRp29428
(dp29429
g13
Nsg14
Nsg15
Vland use|urban area
p29430
sbg8
(g9
g10
NtRp29431
(dp29432
g13
Nsg14
Nsg15
Vvector
p29433
sbg8
(g9
g10
NtRp29434
(dp29435
g13
Nsg14
Nsg15
VSHP
p29436
sbNg8
(g9
g10
NtRp29437
(dp29438
g13
Nsg14
Nsg15
V1:10000
p29439
sbNg8
(g9
g10
NtRp29440
(dp29441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538057 (PS) (Date: 2007/07/23)
p29442
sbg8
(g9
g10
NtRp29443
(dp29444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76d4a578-df79-403a-b0f2-3e22e87cb624
p29445
sbg8
(g9
g10
NtRp29446
(dp29447
g13
Nsg14
g74
sg15
V2007
p29448
sbg8
(g9
g10
NtRp29449
(dp29450
g13
Nsg14
g74
sg15
V2007
p29451
sbg8
(g9
g10
NtRp29452
(dp29453
g13
Nsg14
Nsg15
VFALSE
p29454
sbg8
(g9
g10
NtRp29455
(dp29456
g13
Nsg14
Nsg15
VCraiova|Land use|Romania
p29457
sbg8
(g9
g10
NtRp29458
(dp29459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29460
sbg8
(g9
g10
NtRp29461
(dp29462
g13
Nsg14
Nsg15
VFALSE
p29463
sbNg8
(g9
g10
NtRp29464
(dp29465
g13
Nsg14
Nsg15
VFALSE
p29466
sbNNNNNNNg8
(g9
g10
NtRp29467
(dp29468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29469
(dp29470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29471
(dp29472
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro004l_craiova_2007
p29473
sbNg8
(g9
g10
NtRp29474
(dp29475
g13
Nsg14
Nsg15
Vobsolete
p29476
sbtp29477
a(g8
(g9
g10
NtRp29478
(dp29479
g13
Nsg14
Nsg15
V879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42
p29480
sbNg8
(g9
g10
NtRp29481
(dp29482
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Vitoria-Gasteiz (Vitoria)
p29483
sbNNNNNg8
(g9
g10
NtRp29484
(dp29485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29486
sbg8
(g23
g10
NtRp29487
(dp29488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29489
sbNg8
(g9
g10
NtRp29490
(dp29491
g13
Nsg14
Nsg15
VFALSE
p29492
sbNNNg8
(g9
g10
NtRp29493
(dp29494
g13
Nsg14
Nsg15
VFALSE
p29495
sbNNg8
(g9
g10
NtRp29496
(dp29497
g13
Nsg14
Nsg15
VFALSE
p29498
sbNNg8
(g9
g10
NtRp29499
(dp29500
g13
Nsg14
Nsg15
VFALSE
p29501
sbNg8
(g9
g10
NtRp29502
(dp29503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42.png
p29504
sbNg8
(g9
g10
NtRp29505
(dp29506
g13
Nsg14
Nsg15
V2019-06-04
p29507
sbNNg8
(g9
g10
NtRp29508
(dp29509
g13
Nsg14
Nsg15
Vland use|urban area
p29510
sbg8
(g9
g10
NtRp29511
(dp29512
g13
Nsg14
Nsg15
Vvector
p29513
sbg8
(g9
g10
NtRp29514
(dp29515
g13
Nsg14
Nsg15
VSHP
p29516
sbNg8
(g9
g10
NtRp29517
(dp29518
g13
Nsg14
Nsg15
V1:10000
p29519
sbNg8
(g9
g10
NtRp29520
(dp29521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50332630709281055472B5 (PS) (Date: 2007/09/28) \u000a                      * Spot 5 2,50 m - 50352630508131123501B7 (PS) (Date: 2005/08/13)
p29522
sbg8
(g9
g10
NtRp29523
(dp29524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42
p29525
sbg8
(g9
g10
NtRp29526
(dp29527
g13
Nsg14
g74
sg15
V2005
p29528
sbg8
(g9
g10
NtRp29529
(dp29530
g13
Nsg14
g74
sg15
V2007
p29531
sbg8
(g9
g10
NtRp29532
(dp29533
g13
Nsg14
Nsg15
VTRUE
p29534
sbg8
(g9
g10
NtRp29535
(dp29536
g13
Nsg14
Nsg15
VLand use|Spain|Vitoria-Gasteiz
p29537
sbg8
(g9
g10
NtRp29538
(dp29539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29540
sbg8
(g9
g10
NtRp29541
(dp29542
g13
Nsg14
Nsg15
VFALSE
p29543
sbNg8
(g9
g10
NtRp29544
(dp29545
g13
Nsg14
Nsg15
VFALSE
p29546
sbNNNNNNNg8
(g9
g10
NtRp29547
(dp29548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29549
(dp29550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29551
(dp29552
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es012l_vitoria_gasteiz_2005-2007
p29553
sbNg8
(g9
g10
NtRp29554
(dp29555
g13
Nsg14
Nsg15
Vobsolete
p29556
sbtp29557
a(g8
(g9
g10
NtRp29558
(dp29559
g13
Nsg14
Nsg15
V7799c392-031d-4d89-89db-5c0bd1560ea5
p29560
sbNg8
(g9
g10
NtRp29561
(dp29562
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Heerlen
p29563
sbNNNNNg8
(g9
g10
NtRp29564
(dp29565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29566
sbg8
(g23
g10
NtRp29567
(dp29568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29569
sbNg8
(g9
g10
NtRp29570
(dp29571
g13
Nsg14
Nsg15
VFALSE
p29572
sbNNNg8
(g9
g10
NtRp29573
(dp29574
g13
Nsg14
Nsg15
VFALSE
p29575
sbNNg8
(g9
g10
NtRp29576
(dp29577
g13
Nsg14
Nsg15
VFALSE
p29578
sbNNg8
(g9
g10
NtRp29579
(dp29580
g13
Nsg14
Nsg15
VFALSE
p29581
sbNg8
(g9
g10
NtRp29582
(dp29583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7799c392-031d-4d89-89db-5c0bd1560ea5.png
p29584
sbNg8
(g9
g10
NtRp29585
(dp29586
g13
Nsg14
Nsg15
V2019-06-04
p29587
sbNNg8
(g9
g10
NtRp29588
(dp29589
g13
Nsg14
Nsg15
Vland use|urban area
p29590
sbg8
(g9
g10
NtRp29591
(dp29592
g13
Nsg14
Nsg15
Vvector
p29593
sbg8
(g9
g10
NtRp29594
(dp29595
g13
Nsg14
Nsg15
VSHP
p29596
sbNg8
(g9
g10
NtRp29597
(dp29598
g13
Nsg14
Nsg15
V1:10000
p29599
sbNg8
(g9
g10
NtRp29600
(dp29601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50452470508301054122B0 (PS) (Date: 2005/08/30)
p29602
sbg8
(g9
g10
NtRp29603
(dp29604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7799c392-031d-4d89-89db-5c0bd1560ea5
p29605
sbg8
(g9
g10
NtRp29606
(dp29607
g13
Nsg14
g74
sg15
V2005
p29608
sbg8
(g9
g10
NtRp29609
(dp29610
g13
Nsg14
g74
sg15
V2005
p29611
sbg8
(g9
g10
NtRp29612
(dp29613
g13
Nsg14
Nsg15
VFALSE
p29614
sbg8
(g9
g10
NtRp29615
(dp29616
g13
Nsg14
Nsg15
VHeerlen|Land use|Netherlands
p29617
sbg8
(g9
g10
NtRp29618
(dp29619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29620
sbg8
(g9
g10
NtRp29621
(dp29622
g13
Nsg14
Nsg15
VFALSE
p29623
sbNg8
(g9
g10
NtRp29624
(dp29625
g13
Nsg14
Nsg15
VFALSE
p29626
sbNNNNNNNg8
(g9
g10
NtRp29627
(dp29628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29629
(dp29630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29631
(dp29632
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl010l_heerlen_2005
p29633
sbNg8
(g9
g10
NtRp29634
(dp29635
g13
Nsg14
Nsg15
Vobsolete
p29636
sbtp29637
a(g8
(g9
g10
NtRp29638
(dp29639
g13
Nsg14
Nsg15
V6e625bda-77c0-4149-b042-e885d7ef9ab5
p29640
sbNg8
(g9
g10
NtRp29641
(dp29642
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Madrid
p29643
sbNNNNNg8
(g9
g10
NtRp29644
(dp29645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29646
sbg8
(g23
g10
NtRp29647
(dp29648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29649
sbNg8
(g9
g10
NtRp29650
(dp29651
g13
Nsg14
Nsg15
VFALSE
p29652
sbNNNg8
(g9
g10
NtRp29653
(dp29654
g13
Nsg14
Nsg15
VFALSE
p29655
sbNNg8
(g9
g10
NtRp29656
(dp29657
g13
Nsg14
Nsg15
VFALSE
p29658
sbNNg8
(g9
g10
NtRp29659
(dp29660
g13
Nsg14
Nsg15
VFALSE
p29661
sbNg8
(g9
g10
NtRp29662
(dp29663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e625bda-77c0-4149-b042-e885d7ef9ab5.png
p29664
sbNg8
(g9
g10
NtRp29665
(dp29666
g13
Nsg14
Nsg15
V2019-06-04
p29667
sbNNg8
(g9
g10
NtRp29668
(dp29669
g13
Nsg14
Nsg15
Vland use|urban area
p29670
sbg8
(g9
g10
NtRp29671
(dp29672
g13
Nsg14
Nsg15
Vvector
p29673
sbg8
(g9
g10
NtRp29674
(dp29675
g13
Nsg14
Nsg15
VSHP
p29676
sbNg8
(g9
g10
NtRp29677
(dp29678
g13
Nsg14
Nsg15
V1:10000
p29679
sbNg8
(g9
g10
NtRp29680
(dp29681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182757001 (PS) (Date: 2005/04/26) \u000a                      * Spot 5 2,50 m - 00182757002 (PS) (Date: 2005/07/23) \u000a                      * Spot 5 2,50 m - 00182757003 (PS) (Date: 2005/07/24) \u000a                      * Spot 5 2,50 m - 00182757004 (PS) (Date: 2005/08/28) \u000a                      * Spot 5 2,50 m - 00182757005 (PS) (Date: 2005/08/30) \u000a                      * Spot 5 2,50 m - 00182757006 (PS) (Date: 2005/10/04) \u000a                      * Spot 5 2,50 m - 00182757007 (PS) (Date: 2006/08/07) \u000a                      * Spot 5 2,50 m - 00182757008 (PS) (Date: 2006/08/12) \u000a                      * Spot 5 2,50 m - 00182757009 (PS) (Date: 2006/08/12) \u000a                      * Spot 5 2,50 m - 00182757010 (PS) (Date: 2007/09/07)
p29682
sbg8
(g9
g10
NtRp29683
(dp29684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e625bda-77c0-4149-b042-e885d7ef9ab5
p29685
sbg8
(g9
g10
NtRp29686
(dp29687
g13
Nsg14
g74
sg15
V2005
p29688
sbg8
(g9
g10
NtRp29689
(dp29690
g13
Nsg14
g74
sg15
V2007
p29691
sbg8
(g9
g10
NtRp29692
(dp29693
g13
Nsg14
Nsg15
VTRUE
p29694
sbg8
(g9
g10
NtRp29695
(dp29696
g13
Nsg14
Nsg15
VLand use|Madrid|Spain
p29697
sbg8
(g9
g10
NtRp29698
(dp29699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29700
sbg8
(g9
g10
NtRp29701
(dp29702
g13
Nsg14
Nsg15
VFALSE
p29703
sbNg8
(g9
g10
NtRp29704
(dp29705
g13
Nsg14
Nsg15
VFALSE
p29706
sbNNNNNNNg8
(g9
g10
NtRp29707
(dp29708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29709
(dp29710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29711
(dp29712
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es001l_madrid_2005-2007
p29713
sbNg8
(g9
g10
NtRp29714
(dp29715
g13
Nsg14
Nsg15
Vobsolete
p29716
sbtp29717
a(g8
(g9
g10
NtRp29718
(dp29719
g13
Nsg14
Nsg15
Vef25ad3a-98b5-431e-b8d9-e64af8fd1811
p29720
sbNg8
(g9
g10
NtRp29721
(dp29722
g13
Nsg14
Nsg15
VUrban Atlas - Austria - Innsbruck
p29723
sbNNNNNg8
(g9
g10
NtRp29724
(dp29725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29726
sbg8
(g23
g10
NtRp29727
(dp29728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29729
sbNg8
(g9
g10
NtRp29730
(dp29731
g13
Nsg14
Nsg15
VFALSE
p29732
sbNNNg8
(g9
g10
NtRp29733
(dp29734
g13
Nsg14
Nsg15
VFALSE
p29735
sbNNg8
(g9
g10
NtRp29736
(dp29737
g13
Nsg14
Nsg15
VFALSE
p29738
sbNNg8
(g9
g10
NtRp29739
(dp29740
g13
Nsg14
Nsg15
VFALSE
p29741
sbNg8
(g9
g10
NtRp29742
(dp29743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef25ad3a-98b5-431e-b8d9-e64af8fd1811.png
p29744
sbNg8
(g9
g10
NtRp29745
(dp29746
g13
Nsg14
Nsg15
V2019-06-04
p29747
sbNNg8
(g9
g10
NtRp29748
(dp29749
g13
Nsg14
Nsg15
Vland use|urban area
p29750
sbg8
(g9
g10
NtRp29751
(dp29752
g13
Nsg14
Nsg15
Vvector
p29753
sbg8
(g9
g10
NtRp29754
(dp29755
g13
Nsg14
Nsg15
VSHP
p29756
sbNg8
(g9
g10
NtRp29757
(dp29758
g13
Nsg14
Nsg15
V1:10000
p29759
sbNg8
(g9
g10
NtRp29760
(dp29761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 10 m - AL_AV2_X_20061027_102007_DLR_4031_PRUTM (XS) (Date: 2006/10/27) \u000a                      * ALOS 10 m - AL_AV2_X_20061027_102015_DLR_4031_PRUTM (XS) (Date: 2006/10/27) \u000a                      * ALOS 10 m - AL_AV2_X_20070713_101852_DLR_7809_PRUTM (XS) (Date: 2007/07/13) \u000a                      * ALOS 10 m - AL_AV2_X_20070713_101900_DLR_7809_PRUTM (XS) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061010_101754_DLR_3783_PRUTM (P) (Date: 2006/10/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061010_101758_DLR_3783_PRUTM (P) (Date: 2006/10/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070713_101856_DLR_7809_PRUTM (P) (Date: 2007/07/13) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070713_101900_DLR_7809_PRUTM (P) (Date: 2007/07/13) \u000a                      * RapidEye 5 m - 2009-07-27T105444_RE1_3A-NAC_5855407_107132 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105447_RE1_3A-NAC_5855607_107132 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-07-27T105447_RE1_3A-NAC_5855247_107132 (XS) (Date: 2009/07/27) \u000a                      * RapidEye 5 m - 2009-08-19T105552_RE5_3A-NAC_5860705_107132 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-09-05T105249_RE3_3A-NAC_5859720_107132 (XS) (Date: 2009/09/05) \u000a                      * RapidEye 5 m - 2009-09-30T105635_RE4_3A-NAC_5859722_107132 (XS) (Date: 2009/09/30) \u000a                      * RapidEye 5 m - 2009-09-30T105639_RE4_3A-NAC_5859721_107132 (XS) (Date: 2009/09/30) \u000a                      * RapidEye 5 m - 2009-10-03T110148_RE2_3A-NAC_5855619_107132 (XS) (Date: 2009/10/03) \u000a                      * RapidEye 5 m - 2009-10-03T110151_RE2_3A-NAC_5855614_107132 (XS) (Date: 2009/10/03) \u000a                      * RapidEye 5 m - 2009-10-03T110155_RE2_3A-NAC_5855612_107132 (XS) (Date: 2009/1003) \u000a                      * RapidEye 5 m - 2011-02-14T052915_RE3_3A-NAC_5858303_107168 (XS) (Date: 2011/02/14)
p29762
sbg8
(g9
g10
NtRp29763
(dp29764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef25ad3a-98b5-431e-b8d9-e64af8fd1811
p29765
sbg8
(g9
g10
NtRp29766
(dp29767
g13
Nsg14
g74
sg15
V2006
p29768
sbg8
(g9
g10
NtRp29769
(dp29770
g13
Nsg14
g74
sg15
V2011
p29771
sbg8
(g9
g10
NtRp29772
(dp29773
g13
Nsg14
Nsg15
VTRUE
p29774
sbg8
(g9
g10
NtRp29775
(dp29776
g13
Nsg14
Nsg15
VAustria|Innsbruck|Land use
p29777
sbg8
(g9
g10
NtRp29778
(dp29779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29780
sbg8
(g9
g10
NtRp29781
(dp29782
g13
Nsg14
Nsg15
VFALSE
p29783
sbNg8
(g9
g10
NtRp29784
(dp29785
g13
Nsg14
Nsg15
VFALSE
p29786
sbNNNNNNNg8
(g9
g10
NtRp29787
(dp29788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29789
(dp29790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29791
(dp29792
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-at005l_innsbruck_2006-2011
p29793
sbNg8
(g9
g10
NtRp29794
(dp29795
g13
Nsg14
Nsg15
Vobsolete
p29796
sbtp29797
a(g8
(g9
g10
NtRp29798
(dp29799
g13
Nsg14
Nsg15
V89061d59-0eba-48ac-9d36-21629fd859c0
p29800
sbNg8
(g9
g10
NtRp29801
(dp29802
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Rzeszów
p29803
sbNNNNNg8
(g9
g10
NtRp29804
(dp29805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29806
sbg8
(g23
g10
NtRp29807
(dp29808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29809
sbNg8
(g9
g10
NtRp29810
(dp29811
g13
Nsg14
Nsg15
VFALSE
p29812
sbNNNg8
(g9
g10
NtRp29813
(dp29814
g13
Nsg14
Nsg15
VFALSE
p29815
sbNNg8
(g9
g10
NtRp29816
(dp29817
g13
Nsg14
Nsg15
VFALSE
p29818
sbNNg8
(g9
g10
NtRp29819
(dp29820
g13
Nsg14
Nsg15
VFALSE
p29821
sbNg8
(g9
g10
NtRp29822
(dp29823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89061d59-0eba-48ac-9d36-21629fd859c0.png
p29824
sbNg8
(g9
g10
NtRp29825
(dp29826
g13
Nsg14
Nsg15
V2019-06-04
p29827
sbNNg8
(g9
g10
NtRp29828
(dp29829
g13
Nsg14
Nsg15
Vland use|urban area
p29830
sbg8
(g9
g10
NtRp29831
(dp29832
g13
Nsg14
Nsg15
Vvector
p29833
sbg8
(g9
g10
NtRp29834
(dp29835
g13
Nsg14
Nsg15
VSHP
p29836
sbNg8
(g9
g10
NtRp29837
(dp29838
g13
Nsg14
Nsg15
V1:10000
p29839
sbNg8
(g9
g10
NtRp29840
(dp29841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 10 m - AL_AV2_X_20070613_093935_DLR_7371_PRUTM (XS) (Date: 2007/06/13) \u000a                      * ALOS 10 m - AL_AV2_X_20080903_094115_DLR_13906_PRUTM (XS) (Date: 2008/09/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080517_093833_DLR_12316_PRUTM (P) (Date: 2008/05/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080517_093838_DLR_12316_PRUTM (P) (Date: 2008/05/17) \u000a                      * RapidEye 5 m - 2009-07-23T102853_RE3_3A-NAC_5461097_104151 (XS) (Date: 2009/07/23) \u000a                      * RapidEye 5 m - 2009-07-23T102856_RE3_3A-NAC_5461096_104151 (XS) (Date: 2009/07/23) \u000a                      * RapidEye 5 m - 2009-07-23T102900_RE3_3A-NAC_5461095_104151 (XS) (Date: 2009/07/23) \u000a                      * RapidEye 5 m - 2009-08-21T101725_RE4_3A-NAC_5453191_104054 (XS) (Date: 2009/08/21) \u000a                      * RapidEye 5 m - 2009-08-21T101728_RE4_3A-NAC_5453192_104054 (XS) (Date: 2009/08/21) \u000a                      * RapidEye 5 m - 2009-08-21T101732_RE4_3A-NAC_5453194_104054 (XS) (Date: 2009/08/21) \u000a                      * RapidEye 5 m - 2009-08-21T101735_RE4_3A-NAC_5453193_104054 (XS) (Date: 2009/08/21)
p29842
sbg8
(g9
g10
NtRp29843
(dp29844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89061d59-0eba-48ac-9d36-21629fd859c0
p29845
sbg8
(g9
g10
NtRp29846
(dp29847
g13
Nsg14
g74
sg15
V2007
p29848
sbg8
(g9
g10
NtRp29849
(dp29850
g13
Nsg14
g74
sg15
V2009
p29851
sbg8
(g9
g10
NtRp29852
(dp29853
g13
Nsg14
Nsg15
VTRUE
p29854
sbg8
(g9
g10
NtRp29855
(dp29856
g13
Nsg14
Nsg15
VLand use|Poland|Rzeszów
p29857
sbg8
(g9
g10
NtRp29858
(dp29859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29860
sbg8
(g9
g10
NtRp29861
(dp29862
g13
Nsg14
Nsg15
VFALSE
p29863
sbNg8
(g9
g10
NtRp29864
(dp29865
g13
Nsg14
Nsg15
VFALSE
p29866
sbNNNNNNNg8
(g9
g10
NtRp29867
(dp29868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29869
(dp29870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29871
(dp29872
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl015l_rzeszow_2007-2009
p29873
sbNg8
(g9
g10
NtRp29874
(dp29875
g13
Nsg14
Nsg15
Vobsolete
p29876
sbtp29877
a(g8
(g9
g10
NtRp29878
(dp29879
g13
Nsg14
Nsg15
V62275466-177f-4e7f-adf4-68c4df07c9d6
p29880
sbNg8
(g9
g10
NtRp29881
(dp29882
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Budapest
p29883
sbNNNNNg8
(g9
g10
NtRp29884
(dp29885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29886
sbg8
(g23
g10
NtRp29887
(dp29888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29889
sbNg8
(g9
g10
NtRp29890
(dp29891
g13
Nsg14
Nsg15
VFALSE
p29892
sbNNNg8
(g9
g10
NtRp29893
(dp29894
g13
Nsg14
Nsg15
VFALSE
p29895
sbNNg8
(g9
g10
NtRp29896
(dp29897
g13
Nsg14
Nsg15
VFALSE
p29898
sbNNg8
(g9
g10
NtRp29899
(dp29900
g13
Nsg14
Nsg15
VFALSE
p29901
sbNg8
(g9
g10
NtRp29902
(dp29903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/62275466-177f-4e7f-adf4-68c4df07c9d6.png
p29904
sbNg8
(g9
g10
NtRp29905
(dp29906
g13
Nsg14
Nsg15
V2019-06-04
p29907
sbNNg8
(g9
g10
NtRp29908
(dp29909
g13
Nsg14
Nsg15
Vland use|urban area
p29910
sbg8
(g9
g10
NtRp29911
(dp29912
g13
Nsg14
Nsg15
Vvector
p29913
sbg8
(g9
g10
NtRp29914
(dp29915
g13
Nsg14
Nsg15
VSHP
p29916
sbNg8
(g9
g10
NtRp29917
(dp29918
g13
Nsg14
Nsg15
V1:10000
p29919
sbNg8
(g9
g10
NtRp29920
(dp29921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182793034 (P) (Date: 2007/07/16) \u000a                      * Spot 5 2,50 m - 00182793035 (P) (Date: 2007/07/31) \u000a                      * Spot 5 2,50 m - 00182793036 (P) (Date: 2007/10/01) \u000a                      * Spot 5 2,50 m - 00182793037 (P) (Date: 2007/07/31) \u000a                      * Spot 5 2,50 m - 00182784034 (XS) (Date: 2007/07/31) \u000a                      * Spot 5 2,50 m - 00182784035 (XS) (Date: 2006/09/28) \u000a                      * Spot 5 2,50 m - 00182784036 (XS) (Date: 2007/07/15) \u000a                      * Spot 5 2,50 m - 00182784037 (XS) (Date: 2008/08/19)
p29922
sbg8
(g9
g10
NtRp29923
(dp29924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62275466-177f-4e7f-adf4-68c4df07c9d6
p29925
sbg8
(g9
g10
NtRp29926
(dp29927
g13
Nsg14
g74
sg15
V2006
p29928
sbg8
(g9
g10
NtRp29929
(dp29930
g13
Nsg14
g74
sg15
V2008
p29931
sbg8
(g9
g10
NtRp29932
(dp29933
g13
Nsg14
Nsg15
VTRUE
p29934
sbg8
(g9
g10
NtRp29935
(dp29936
g13
Nsg14
Nsg15
VBudapest|Hungary|Land use
p29937
sbg8
(g9
g10
NtRp29938
(dp29939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p29940
sbg8
(g9
g10
NtRp29941
(dp29942
g13
Nsg14
Nsg15
VFALSE
p29943
sbNg8
(g9
g10
NtRp29944
(dp29945
g13
Nsg14
Nsg15
VFALSE
p29946
sbNNNNNNNg8
(g9
g10
NtRp29947
(dp29948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp29949
(dp29950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp29951
(dp29952
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu001l_budapest_2006-2008
p29953
sbNg8
(g9
g10
NtRp29954
(dp29955
g13
Nsg14
Nsg15
Vobsolete
p29956
sbtp29957
a(g8
(g9
g10
NtRp29958
(dp29959
g13
Nsg14
Nsg15
V29e73c67-fb9d-4e38-8306-e03dad6a5028
p29960
sbNg8
(g9
g10
NtRp29961
(dp29962
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Cordova (Córdoba)
p29963
sbNNNNNg8
(g9
g10
NtRp29964
(dp29965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p29966
sbg8
(g23
g10
NtRp29967
(dp29968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p29969
sbNg8
(g9
g10
NtRp29970
(dp29971
g13
Nsg14
Nsg15
VFALSE
p29972
sbNNNg8
(g9
g10
NtRp29973
(dp29974
g13
Nsg14
Nsg15
VFALSE
p29975
sbNNg8
(g9
g10
NtRp29976
(dp29977
g13
Nsg14
Nsg15
VFALSE
p29978
sbNNg8
(g9
g10
NtRp29979
(dp29980
g13
Nsg14
Nsg15
VFALSE
p29981
sbNg8
(g9
g10
NtRp29982
(dp29983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/29e73c67-fb9d-4e38-8306-e03dad6a5028.png
p29984
sbNg8
(g9
g10
NtRp29985
(dp29986
g13
Nsg14
Nsg15
V2019-06-04
p29987
sbNNg8
(g9
g10
NtRp29988
(dp29989
g13
Nsg14
Nsg15
Vland use|urban area
p29990
sbg8
(g9
g10
NtRp29991
(dp29992
g13
Nsg14
Nsg15
Vvector
p29993
sbg8
(g9
g10
NtRp29994
(dp29995
g13
Nsg14
Nsg15
VSHP
p29996
sbNg8
(g9
g10
NtRp29997
(dp29998
g13
Nsg14
Nsg15
V1:10000
p29999
sbNg8
(g9
g10
NtRp30000
(dp30001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183756068 (PS) (Date: 2008/06/18)
p30002
sbg8
(g9
g10
NtRp30003
(dp30004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/29e73c67-fb9d-4e38-8306-e03dad6a5028
p30005
sbg8
(g9
g10
NtRp30006
(dp30007
g13
Nsg14
g74
sg15
V2008
p30008
sbg8
(g9
g10
NtRp30009
(dp30010
g13
Nsg14
g74
sg15
V2008
p30011
sbg8
(g9
g10
NtRp30012
(dp30013
g13
Nsg14
Nsg15
VFALSE
p30014
sbg8
(g9
g10
NtRp30015
(dp30016
g13
Nsg14
Nsg15
VCordova|Land use|Spain
p30017
sbg8
(g9
g10
NtRp30018
(dp30019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30020
sbg8
(g9
g10
NtRp30021
(dp30022
g13
Nsg14
Nsg15
VFALSE
p30023
sbNg8
(g9
g10
NtRp30024
(dp30025
g13
Nsg14
Nsg15
VFALSE
p30026
sbNNNNNNNg8
(g9
g10
NtRp30027
(dp30028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30029
(dp30030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30031
(dp30032
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es020l_cordoba_2008
p30033
sbNg8
(g9
g10
NtRp30034
(dp30035
g13
Nsg14
Nsg15
Vobsolete
p30036
sbtp30037
a(g8
(g9
g10
NtRp30038
(dp30039
g13
Nsg14
Nsg15
V40e5d584-951a-4413-863d-2eb45f4e9e69
p30040
sbNg8
(g9
g10
NtRp30041
(dp30042
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Enschede
p30043
sbNNNNNg8
(g9
g10
NtRp30044
(dp30045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30046
sbg8
(g23
g10
NtRp30047
(dp30048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30049
sbNg8
(g9
g10
NtRp30050
(dp30051
g13
Nsg14
Nsg15
VFALSE
p30052
sbNNNg8
(g9
g10
NtRp30053
(dp30054
g13
Nsg14
Nsg15
VFALSE
p30055
sbNNg8
(g9
g10
NtRp30056
(dp30057
g13
Nsg14
Nsg15
VFALSE
p30058
sbNNg8
(g9
g10
NtRp30059
(dp30060
g13
Nsg14
Nsg15
VFALSE
p30061
sbNg8
(g9
g10
NtRp30062
(dp30063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/40e5d584-951a-4413-863d-2eb45f4e9e69.png
p30064
sbNg8
(g9
g10
NtRp30065
(dp30066
g13
Nsg14
Nsg15
V2019-06-04
p30067
sbNNg8
(g9
g10
NtRp30068
(dp30069
g13
Nsg14
Nsg15
Vland use|urban area
p30070
sbg8
(g9
g10
NtRp30071
(dp30072
g13
Nsg14
Nsg15
Vvector
p30073
sbg8
(g9
g10
NtRp30074
(dp30075
g13
Nsg14
Nsg15
VSHP
p30076
sbNg8
(g9
g10
NtRp30077
(dp30078
g13
Nsg14
Nsg15
V1:10000
p30079
sbNg8
(g9
g10
NtRp30080
(dp30081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50452440607181100471B1 (Date: 2006/07/18) \u000a                      * Spot 5 2,50 m - 50462440505281102512B0 (Date: 2005/05/28)
p30082
sbg8
(g9
g10
NtRp30083
(dp30084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40e5d584-951a-4413-863d-2eb45f4e9e69
p30085
sbg8
(g9
g10
NtRp30086
(dp30087
g13
Nsg14
g74
sg15
V2005
p30088
sbg8
(g9
g10
NtRp30089
(dp30090
g13
Nsg14
g74
sg15
V2006
p30091
sbg8
(g9
g10
NtRp30092
(dp30093
g13
Nsg14
Nsg15
VTRUE
p30094
sbg8
(g9
g10
NtRp30095
(dp30096
g13
Nsg14
Nsg15
VEnschede|Land use|Netherlands
p30097
sbg8
(g9
g10
NtRp30098
(dp30099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30100
sbg8
(g9
g10
NtRp30101
(dp30102
g13
Nsg14
Nsg15
VFALSE
p30103
sbNg8
(g9
g10
NtRp30104
(dp30105
g13
Nsg14
Nsg15
VFALSE
p30106
sbNNNNNNNg8
(g9
g10
NtRp30107
(dp30108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30109
(dp30110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30111
(dp30112
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-nl008l_enschede_2005-2006
p30113
sbNg8
(g9
g10
NtRp30114
(dp30115
g13
Nsg14
Nsg15
Vobsolete
p30116
sbtp30117
a(g8
(g9
g10
NtRp30118
(dp30119
g13
Nsg14
Nsg15
Vbd546d11-8845-4a71-b778-de1f25f91aaa
p30120
sbNg8
(g9
g10
NtRp30121
(dp30122
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Lisbon (Lisboa)
p30123
sbNNNNNg8
(g9
g10
NtRp30124
(dp30125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30126
sbg8
(g23
g10
NtRp30127
(dp30128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30129
sbNg8
(g9
g10
NtRp30130
(dp30131
g13
Nsg14
Nsg15
VFALSE
p30132
sbNNNg8
(g9
g10
NtRp30133
(dp30134
g13
Nsg14
Nsg15
VFALSE
p30135
sbNNg8
(g9
g10
NtRp30136
(dp30137
g13
Nsg14
Nsg15
VFALSE
p30138
sbNNg8
(g9
g10
NtRp30139
(dp30140
g13
Nsg14
Nsg15
VFALSE
p30141
sbNg8
(g9
g10
NtRp30142
(dp30143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd546d11-8845-4a71-b778-de1f25f91aaa.png
p30144
sbNg8
(g9
g10
NtRp30145
(dp30146
g13
Nsg14
Nsg15
V2019-06-04
p30147
sbNNg8
(g9
g10
NtRp30148
(dp30149
g13
Nsg14
Nsg15
Vland use|urban area
p30150
sbg8
(g9
g10
NtRp30151
(dp30152
g13
Nsg14
Nsg15
Vvector
p30153
sbg8
(g9
g10
NtRp30154
(dp30155
g13
Nsg14
Nsg15
VSHP
p30156
sbNg8
(g9
g10
NtRp30157
(dp30158
g13
Nsg14
Nsg15
V1:10000
p30159
sbNg8
(g9
g10
NtRp30160
(dp30161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070722_113207_DLR_7941_PREU (MS) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070808_113414_DLR_8189_PREU (MS) (Date: 2007/08/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113417_DLR_6847_PREU (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113421_DLR_6847_PREU (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070606_113208_DLR_7270_PREU (P) (Date: 2007/06/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070606_113212_DLR_7270_PREU (P) (Date: 2007/06/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070606_113216_DLR_7270_PREU (P) (Date: 2007/06/06) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_113203_DLR_7941_PREU (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_113207_DLR_7941_PREU (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_113212_DLR_7941_PREU (P) (Date: 2007/07/22)
p30162
sbg8
(g9
g10
NtRp30163
(dp30164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd546d11-8845-4a71-b778-de1f25f91aaa
p30165
sbg8
(g9
g10
NtRp30166
(dp30167
g13
Nsg14
g74
sg15
V2007
p30168
sbg8
(g9
g10
NtRp30169
(dp30170
g13
Nsg14
g74
sg15
V2007
p30171
sbg8
(g9
g10
NtRp30172
(dp30173
g13
Nsg14
Nsg15
VFALSE
p30174
sbg8
(g9
g10
NtRp30175
(dp30176
g13
Nsg14
Nsg15
VLand use|Lisbon|Portugal
p30177
sbg8
(g9
g10
NtRp30178
(dp30179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30180
sbg8
(g9
g10
NtRp30181
(dp30182
g13
Nsg14
Nsg15
VFALSE
p30183
sbNg8
(g9
g10
NtRp30184
(dp30185
g13
Nsg14
Nsg15
VFALSE
p30186
sbNNNNNNNg8
(g9
g10
NtRp30187
(dp30188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30189
(dp30190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30191
(dp30192
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt001l_lisboa_2007
p30193
sbNg8
(g9
g10
NtRp30194
(dp30195
g13
Nsg14
Nsg15
Vobsolete
p30196
sbtp30197
a(g8
(g9
g10
NtRp30198
(dp30199
g13
Nsg14
Nsg15
V3f0bd861-7b9b-49e3-a30e-6fefb9a2c426
p30200
sbNg8
(g9
g10
NtRp30201
(dp30202
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Bia\u0142ystok
p30203
sbNNNNNg8
(g9
g10
NtRp30204
(dp30205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30206
sbg8
(g23
g10
NtRp30207
(dp30208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30209
sbNg8
(g9
g10
NtRp30210
(dp30211
g13
Nsg14
Nsg15
VFALSE
p30212
sbNNNg8
(g9
g10
NtRp30213
(dp30214
g13
Nsg14
Nsg15
VFALSE
p30215
sbNNg8
(g9
g10
NtRp30216
(dp30217
g13
Nsg14
Nsg15
VFALSE
p30218
sbNNg8
(g9
g10
NtRp30219
(dp30220
g13
Nsg14
Nsg15
VFALSE
p30221
sbNg8
(g9
g10
NtRp30222
(dp30223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f0bd861-7b9b-49e3-a30e-6fefb9a2c426.png
p30224
sbNg8
(g9
g10
NtRp30225
(dp30226
g13
Nsg14
Nsg15
V2019-06-04
p30227
sbNNg8
(g9
g10
NtRp30228
(dp30229
g13
Nsg14
Nsg15
Vland use|urban area
p30230
sbg8
(g9
g10
NtRp30231
(dp30232
g13
Nsg14
Nsg15
Vvector
p30233
sbg8
(g9
g10
NtRp30234
(dp30235
g13
Nsg14
Nsg15
VSHP
p30236
sbNg8
(g9
g10
NtRp30237
(dp30238
g13
Nsg14
Nsg15
V1:10000
p30239
sbNg8
(g9
g10
NtRp30240
(dp30241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394002 (PS) (Date: 2005/08/19) \u000a                      * Spot 5 2,50 m - 00186394013 (PS) (Date: 2005/10/08) \u000a                      * Spot 5 2,50 m - 00186394016 (PS) (Date: 2005/10/29) \u000a                      * Spot 5 2,50 m - 00186394017 (PS) (Date: 2005/10/29) \u000a                      * Spot 5 2,50 m - 00186394018 (PS) (Date: 2005/10/31) \u000a                      * Spot 5 2,50 m - 00186394027 (PS) (Date: 2006/07/07)
p30242
sbg8
(g9
g10
NtRp30243
(dp30244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f0bd861-7b9b-49e3-a30e-6fefb9a2c426
p30245
sbg8
(g9
g10
NtRp30246
(dp30247
g13
Nsg14
g74
sg15
V2005
p30248
sbg8
(g9
g10
NtRp30249
(dp30250
g13
Nsg14
g74
sg15
V2006
p30251
sbg8
(g9
g10
NtRp30252
(dp30253
g13
Nsg14
Nsg15
VTRUE
p30254
sbg8
(g9
g10
NtRp30255
(dp30256
g13
Nsg14
Nsg15
VBia\u0142ystok|Land use|Poland
p30257
sbg8
(g9
g10
NtRp30258
(dp30259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30260
sbg8
(g9
g10
NtRp30261
(dp30262
g13
Nsg14
Nsg15
VFALSE
p30263
sbNg8
(g9
g10
NtRp30264
(dp30265
g13
Nsg14
Nsg15
VFALSE
p30266
sbNNNNNNNg8
(g9
g10
NtRp30267
(dp30268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30269
(dp30270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30271
(dp30272
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl011l_bialystok_2005-2006
p30273
sbNg8
(g9
g10
NtRp30274
(dp30275
g13
Nsg14
Nsg15
Vobsolete
p30276
sbtp30277
a(g8
(g9
g10
NtRp30278
(dp30279
g13
Nsg14
Nsg15
V5656fe05-4d08-48ef-afde-4004fe400b75
p30280
sbNg8
(g9
g10
NtRp30281
(dp30282
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Genoa (Genova)
p30283
sbNNNNNg8
(g9
g10
NtRp30284
(dp30285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30286
sbg8
(g23
g10
NtRp30287
(dp30288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30289
sbNg8
(g9
g10
NtRp30290
(dp30291
g13
Nsg14
Nsg15
VFALSE
p30292
sbNNNg8
(g9
g10
NtRp30293
(dp30294
g13
Nsg14
Nsg15
VFALSE
p30295
sbNNg8
(g9
g10
NtRp30296
(dp30297
g13
Nsg14
Nsg15
VFALSE
p30298
sbNNg8
(g9
g10
NtRp30299
(dp30300
g13
Nsg14
Nsg15
VFALSE
p30301
sbNg8
(g9
g10
NtRp30302
(dp30303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5656fe05-4d08-48ef-afde-4004fe400b75.png
p30304
sbNg8
(g9
g10
NtRp30305
(dp30306
g13
Nsg14
Nsg15
V2019-06-04
p30307
sbNNg8
(g9
g10
NtRp30308
(dp30309
g13
Nsg14
Nsg15
Vland use|urban area
p30310
sbg8
(g9
g10
NtRp30311
(dp30312
g13
Nsg14
Nsg15
Vvector
p30313
sbg8
(g9
g10
NtRp30314
(dp30315
g13
Nsg14
Nsg15
VSHP
p30316
sbNg8
(g9
g10
NtRp30317
(dp30318
g13
Nsg14
Nsg15
V1:10000
p30319
sbNg8
(g9
g10
NtRp30320
(dp30321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50562600610271020231B0 (P) (Date: 2006/10/27) \u000a                      * Spot 5 2,50 m - 50572600606241024061B8 (P) (Date: 2006/06/24) \u000a                      * Spot 5 2,50 m - 50582600505261003071B6 (P) (Date: 2005/05/26) \u000a                      * ALOS 10 m - AL_AV2_X_20070718_102607_DLR_7882_PRUTM (XS) (Date: 2007/07/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070701_102400_DLR_7634_PRUTM (P) (Date: 2007/07/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070701_102404_DLR_7634_PRUTM (P) (Date: 2007/07/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070718_102607_DLR_7882_PRUTM (P) (Date: 2007/07/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070718_102611_DLR_7882_PRUTM (P) (Date: 2007/07/18)
p30322
sbg8
(g9
g10
NtRp30323
(dp30324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5656fe05-4d08-48ef-afde-4004fe400b75
p30325
sbg8
(g9
g10
NtRp30326
(dp30327
g13
Nsg14
g74
sg15
V2005
p30328
sbg8
(g9
g10
NtRp30329
(dp30330
g13
Nsg14
g74
sg15
V2007
p30331
sbg8
(g9
g10
NtRp30332
(dp30333
g13
Nsg14
Nsg15
VTRUE
p30334
sbg8
(g9
g10
NtRp30335
(dp30336
g13
Nsg14
Nsg15
VGenoa|Italy|Land use
p30337
sbg8
(g9
g10
NtRp30338
(dp30339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30340
sbg8
(g9
g10
NtRp30341
(dp30342
g13
Nsg14
Nsg15
VFALSE
p30343
sbNg8
(g9
g10
NtRp30344
(dp30345
g13
Nsg14
Nsg15
VFALSE
p30346
sbNNNNNNNg8
(g9
g10
NtRp30347
(dp30348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30349
(dp30350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30351
(dp30352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it006l_genova_2005-2007
p30353
sbNg8
(g9
g10
NtRp30354
(dp30355
g13
Nsg14
Nsg15
Vobsolete
p30356
sbtp30357
a(g8
(g9
g10
NtRp30358
(dp30359
g13
Nsg14
Nsg15
Vc054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075
p30360
sbNg8
(g9
g10
NtRp30361
(dp30362
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Arad
p30363
sbNNNNNg8
(g9
g10
NtRp30364
(dp30365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30366
sbg8
(g23
g10
NtRp30367
(dp30368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30369
sbNg8
(g9
g10
NtRp30370
(dp30371
g13
Nsg14
Nsg15
VFALSE
p30372
sbNNNg8
(g9
g10
NtRp30373
(dp30374
g13
Nsg14
Nsg15
VFALSE
p30375
sbNNg8
(g9
g10
NtRp30376
(dp30377
g13
Nsg14
Nsg15
VFALSE
p30378
sbNNg8
(g9
g10
NtRp30379
(dp30380
g13
Nsg14
Nsg15
VFALSE
p30381
sbNg8
(g9
g10
NtRp30382
(dp30383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075.png
p30384
sbNg8
(g9
g10
NtRp30385
(dp30386
g13
Nsg14
Nsg15
V2019-06-04
p30387
sbNNg8
(g9
g10
NtRp30388
(dp30389
g13
Nsg14
Nsg15
Vland use|urban area
p30390
sbg8
(g9
g10
NtRp30391
(dp30392
g13
Nsg14
Nsg15
Vvector
p30393
sbg8
(g9
g10
NtRp30394
(dp30395
g13
Nsg14
Nsg15
VSHP
p30396
sbNg8
(g9
g10
NtRp30397
(dp30398
g13
Nsg14
Nsg15
V1:10000
p30399
sbNg8
(g9
g10
NtRp30400
(dp30401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50812570604090944241B0 (PS) (Date: 2006/04/09)
p30402
sbg8
(g9
g10
NtRp30403
(dp30404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075
p30405
sbg8
(g9
g10
NtRp30406
(dp30407
g13
Nsg14
g74
sg15
V2006
p30408
sbg8
(g9
g10
NtRp30409
(dp30410
g13
Nsg14
g74
sg15
V2006
p30411
sbg8
(g9
g10
NtRp30412
(dp30413
g13
Nsg14
Nsg15
VFALSE
p30414
sbg8
(g9
g10
NtRp30415
(dp30416
g13
Nsg14
Nsg15
VArad|Land use|Romania
p30417
sbg8
(g9
g10
NtRp30418
(dp30419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30420
sbg8
(g9
g10
NtRp30421
(dp30422
g13
Nsg14
Nsg15
VFALSE
p30423
sbNg8
(g9
g10
NtRp30424
(dp30425
g13
Nsg14
Nsg15
VFALSE
p30426
sbNNNNNNNg8
(g9
g10
NtRp30427
(dp30428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30429
(dp30430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30431
(dp30432
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-ro008l_arad_2006
p30433
sbNg8
(g9
g10
NtRp30434
(dp30435
g13
Nsg14
Nsg15
Vobsolete
p30436
sbtp30437
a(g8
(g9
g10
NtRp30438
(dp30439
g13
Nsg14
Nsg15
V506c6ccb-dd41-41cf-a13d-d3b32d42b1b9
p30440
sbNg8
(g9
g10
NtRp30441
(dp30442
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Kiel
p30443
sbNNNNNg8
(g9
g10
NtRp30444
(dp30445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30446
sbg8
(g23
g10
NtRp30447
(dp30448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30449
sbNg8
(g9
g10
NtRp30450
(dp30451
g13
Nsg14
Nsg15
VFALSE
p30452
sbNNNg8
(g9
g10
NtRp30453
(dp30454
g13
Nsg14
Nsg15
VFALSE
p30455
sbNNg8
(g9
g10
NtRp30456
(dp30457
g13
Nsg14
Nsg15
VFALSE
p30458
sbNNg8
(g9
g10
NtRp30459
(dp30460
g13
Nsg14
Nsg15
VFALSE
p30461
sbNg8
(g9
g10
NtRp30462
(dp30463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/506c6ccb-dd41-41cf-a13d-d3b32d42b1b9.png
p30464
sbNg8
(g9
g10
NtRp30465
(dp30466
g13
Nsg14
Nsg15
V2019-06-04
p30467
sbNNg8
(g9
g10
NtRp30468
(dp30469
g13
Nsg14
Nsg15
Vland use|urban area
p30470
sbg8
(g9
g10
NtRp30471
(dp30472
g13
Nsg14
Nsg15
Vvector
p30473
sbg8
(g9
g10
NtRp30474
(dp30475
g13
Nsg14
Nsg15
VSHP
p30476
sbNg8
(g9
g10
NtRp30477
(dp30478
g13
Nsg14
Nsg15
V1:10000
p30479
sbNg8
(g9
g10
NtRp30480
(dp30481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50492390506151015372J6 (XS) (Date: 2005/06/15) \u000a                      * Spot 5 10 m - 50492390509061018131J2 (XS) (Date: 2005/09/06) \u000a                      * Spot 5 10 m - 50502390607041029092J7 (XS) (Date: 2006/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090317_103638_DLR_16751_PRUTM (P) (Date: 2009/03/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090317_103642_DLR_16751_PRUTM (P) (Date: 2009/03/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090317_103646_DLR_16751_PRUTM (P) (Date: 2009/03/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090502_103701_DLR_17422_PRUTM (P) (Date: 2009/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090502_103705_DLR_17422_PRUTM (P) (Date: 2009/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090502_103709_DLR_17422_PRUTM (P) (Date: 2009/05/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090531_103510_DLR_17845_PRUTM (P) (Date: 2009/05/31) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090531_103514_DLR_17845_PRUTM (P) (Date: 2009/05/31)
p30482
sbg8
(g9
g10
NtRp30483
(dp30484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/506c6ccb-dd41-41cf-a13d-d3b32d42b1b9
p30485
sbg8
(g9
g10
NtRp30486
(dp30487
g13
Nsg14
g74
sg15
V2005
p30488
sbg8
(g9
g10
NtRp30489
(dp30490
g13
Nsg14
g74
sg15
V2009
p30491
sbg8
(g9
g10
NtRp30492
(dp30493
g13
Nsg14
Nsg15
VTRUE
p30494
sbg8
(g9
g10
NtRp30495
(dp30496
g13
Nsg14
Nsg15
VGermany|Kiel|Land use
p30497
sbg8
(g9
g10
NtRp30498
(dp30499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30500
sbg8
(g9
g10
NtRp30501
(dp30502
g13
Nsg14
Nsg15
VFALSE
p30503
sbNg8
(g9
g10
NtRp30504
(dp30505
g13
Nsg14
Nsg15
VFALSE
p30506
sbNNNNNNNg8
(g9
g10
NtRp30507
(dp30508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30509
(dp30510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30511
(dp30512
g13
Nsg14
Nsg15
Vregio_v_32632_50_k_urban-atlas-de039l_kiel_2005-2009
p30513
sbNg8
(g9
g10
NtRp30514
(dp30515
g13
Nsg14
Nsg15
Vobsolete
p30516
sbtp30517
a(g8
(g9
g10
NtRp30518
(dp30519
g13
Nsg14
Nsg15
V0d2d06e8-9362-4db6-91e5-bbbd81578ce1
p30520
sbNg8
(g9
g10
NtRp30521
(dp30522
g13
Nsg14
Nsg15
VUrban Atlas - Denmark - Aarhus (Århus)
p30523
sbNNNNNg8
(g9
g10
NtRp30524
(dp30525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30526
sbg8
(g23
g10
NtRp30527
(dp30528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30529
sbNg8
(g9
g10
NtRp30530
(dp30531
g13
Nsg14
Nsg15
VFALSE
p30532
sbNNNg8
(g9
g10
NtRp30533
(dp30534
g13
Nsg14
Nsg15
VFALSE
p30535
sbNNg8
(g9
g10
NtRp30536
(dp30537
g13
Nsg14
Nsg15
VFALSE
p30538
sbNNg8
(g9
g10
NtRp30539
(dp30540
g13
Nsg14
Nsg15
VFALSE
p30541
sbNg8
(g9
g10
NtRp30542
(dp30543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d2d06e8-9362-4db6-91e5-bbbd81578ce1.png
p30544
sbNg8
(g9
g10
NtRp30545
(dp30546
g13
Nsg14
Nsg15
V2019-06-04
p30547
sbNNg8
(g9
g10
NtRp30548
(dp30549
g13
Nsg14
Nsg15
Vland use|urban area
p30550
sbg8
(g9
g10
NtRp30551
(dp30552
g13
Nsg14
Nsg15
Vvector
p30553
sbg8
(g9
g10
NtRp30554
(dp30555
g13
Nsg14
Nsg15
VSHP
p30556
sbNg8
(g9
g10
NtRp30557
(dp30558
g13
Nsg14
Nsg15
V1:10000
p30559
sbNg8
(g9
g10
NtRp30560
(dp30561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50462341006271107352B8 (Date: 2010/06/27) \u000a                      * Spot 5 2,50 m - 50462351004101107152B8 (Date: 2010/04/10) \u000a                      * Spot 5 2,50 m - 50492351004131009242B0 (Date: 2010/04/13) \u000a                      * Spot 5 2,50 m - 50492361010101049042B0 (Date: 2010/10/10) \u000a                      * Spot 5 2,50 m - 50502341004161051432B2 (Date: 2010/04/16)
p30562
sbg8
(g9
g10
NtRp30563
(dp30564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d2d06e8-9362-4db6-91e5-bbbd81578ce1
p30565
sbg8
(g9
g10
NtRp30566
(dp30567
g13
Nsg14
g74
sg15
V2010
p30568
sbg8
(g9
g10
NtRp30569
(dp30570
g13
Nsg14
g74
sg15
V2010
p30571
sbg8
(g9
g10
NtRp30572
(dp30573
g13
Nsg14
Nsg15
VFALSE
p30574
sbg8
(g9
g10
NtRp30575
(dp30576
g13
Nsg14
Nsg15
VAarhus|Denmark|Land use
p30577
sbg8
(g9
g10
NtRp30578
(dp30579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30580
sbg8
(g9
g10
NtRp30581
(dp30582
g13
Nsg14
Nsg15
VFALSE
p30583
sbNg8
(g9
g10
NtRp30584
(dp30585
g13
Nsg14
Nsg15
VFALSE
p30586
sbNNNNNNNg8
(g9
g10
NtRp30587
(dp30588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30589
(dp30590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30591
(dp30592
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-dk002l_aarhus_2010
p30593
sbNg8
(g9
g10
NtRp30594
(dp30595
g13
Nsg14
Nsg15
Vobsolete
p30596
sbtp30597
a(g8
(g9
g10
NtRp30598
(dp30599
g13
Nsg14
Nsg15
Vf13425df-52f2-4190-bb9a-7501babd5964
p30600
sbNg8
(g9
g10
NtRp30601
(dp30602
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Perugia
p30603
sbNNNNNg8
(g9
g10
NtRp30604
(dp30605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30606
sbg8
(g23
g10
NtRp30607
(dp30608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30609
sbNg8
(g9
g10
NtRp30610
(dp30611
g13
Nsg14
Nsg15
VFALSE
p30612
sbNNNg8
(g9
g10
NtRp30613
(dp30614
g13
Nsg14
Nsg15
VFALSE
p30615
sbNNg8
(g9
g10
NtRp30616
(dp30617
g13
Nsg14
Nsg15
VFALSE
p30618
sbNNg8
(g9
g10
NtRp30619
(dp30620
g13
Nsg14
Nsg15
VFALSE
p30621
sbNg8
(g9
g10
NtRp30622
(dp30623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f13425df-52f2-4190-bb9a-7501babd5964.png
p30624
sbNg8
(g9
g10
NtRp30625
(dp30626
g13
Nsg14
Nsg15
V2019-06-04
p30627
sbNNg8
(g9
g10
NtRp30628
(dp30629
g13
Nsg14
Nsg15
Vland use|urban area
p30630
sbg8
(g9
g10
NtRp30631
(dp30632
g13
Nsg14
Nsg15
Vvector
p30633
sbg8
(g9
g10
NtRp30634
(dp30635
g13
Nsg14
Nsg15
VSHP
p30636
sbNg8
(g9
g10
NtRp30637
(dp30638
g13
Nsg14
Nsg15
V1:10000
p30639
sbNg8
(g9
g10
NtRp30640
(dp30641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50652630504301003411B0 (P) (Date: 2005/04/30) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080623_100801_DLR_12856_PRUTM (XS) (Date: 2008/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070621_101132_DLR_7488_PRUTM (P) (Date: 2007/06/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080508_100836_DLR_12185_PRUTM (P) (Date: 2008/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080508_100840_DLR_12185_PRUTM (P) (Date: 2008/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090511_101220_DLR_17553_PRUTM (P) (Date: 2009/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090511_101224_DLR_17553_PRUTM (P) (Date: 2009/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090511_101228_DLR_17553_PRUTM (P) (Date: 2009/05/11)
p30642
sbg8
(g9
g10
NtRp30643
(dp30644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f13425df-52f2-4190-bb9a-7501babd5964
p30645
sbg8
(g9
g10
NtRp30646
(dp30647
g13
Nsg14
g74
sg15
V2005
p30648
sbg8
(g9
g10
NtRp30649
(dp30650
g13
Nsg14
g74
sg15
V2009
p30651
sbg8
(g9
g10
NtRp30652
(dp30653
g13
Nsg14
Nsg15
VTRUE
p30654
sbg8
(g9
g10
NtRp30655
(dp30656
g13
Nsg14
Nsg15
VItaly|Land use|Perugia
p30657
sbg8
(g9
g10
NtRp30658
(dp30659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30660
sbg8
(g9
g10
NtRp30661
(dp30662
g13
Nsg14
Nsg15
VFALSE
p30663
sbNg8
(g9
g10
NtRp30664
(dp30665
g13
Nsg14
Nsg15
VFALSE
p30666
sbNNNNNNNg8
(g9
g10
NtRp30667
(dp30668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30669
(dp30670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30671
(dp30672
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it016l_perugia_2005-2009
p30673
sbNg8
(g9
g10
NtRp30674
(dp30675
g13
Nsg14
Nsg15
Vobsolete
p30676
sbtp30677
a(g8
(g9
g10
NtRp30678
(dp30679
g13
Nsg14
Nsg15
Vbf402a99-ea38-438e-b5f4-b8a92936c04a
p30680
sbNg8
(g9
g10
NtRp30681
(dp30682
g13
Nsg14
Nsg15
VUrban Atlas - Ireland - Dublin
p30683
sbNNNNNg8
(g9
g10
NtRp30684
(dp30685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30686
sbg8
(g23
g10
NtRp30687
(dp30688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30689
sbNg8
(g9
g10
NtRp30690
(dp30691
g13
Nsg14
Nsg15
VFALSE
p30692
sbNNNg8
(g9
g10
NtRp30693
(dp30694
g13
Nsg14
Nsg15
VFALSE
p30695
sbNNg8
(g9
g10
NtRp30696
(dp30697
g13
Nsg14
Nsg15
VFALSE
p30698
sbNNg8
(g9
g10
NtRp30699
(dp30700
g13
Nsg14
Nsg15
VFALSE
p30701
sbNg8
(g9
g10
NtRp30702
(dp30703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf402a99-ea38-438e-b5f4-b8a92936c04a.png
p30704
sbNg8
(g9
g10
NtRp30705
(dp30706
g13
Nsg14
Nsg15
V2019-06-04
p30707
sbNNg8
(g9
g10
NtRp30708
(dp30709
g13
Nsg14
Nsg15
Vland use|urban area
p30710
sbg8
(g9
g10
NtRp30711
(dp30712
g13
Nsg14
Nsg15
Vvector
p30713
sbg8
(g9
g10
NtRp30714
(dp30715
g13
Nsg14
Nsg15
VSHP
p30716
sbNg8
(g9
g10
NtRp30717
(dp30718
g13
Nsg14
Nsg15
V1:10000
p30719
sbNg8
(g9
g10
NtRp30720
(dp30721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50172400604281158352J8 (XS) (Date: 2006/04/28) \u000a                      * Spot 5 10 m - 50172400909111203312J1 (XS) (Date: 2009/09/11) \u000a                      * Spot 5 10 m - 50172410607161139391J0 (XS) (Date: 2006/07/16) \u000a                      * Spot 5 10 m - 50172410911201118432J1 (XS) (Date: 2009/11/20) \u000a                      * Spot 5 10 m - 50172411001301154332J8 (XS) (Date: 2010/01/30) \u000a                      * Spot 5 10 m - 50172420607161139471J0 (XS) (Date: 2006/07/16) \u000a                      * Spot 5 10 m - 50172430909121144402J4 (XS) (Date: 2009/09/12) \u000a                      * Spot 5 10 m - 50182410609161147252J6 (XS) (Date: 2006/09/16) \u000a                      * Spot 5 10 m - 50182410909121144232J4 (XS) (Date: 2009/09/12) \u000a                      * Spot 5 10 m - 50182420606091151131J2 (XS) (Date: 2006/06/09) \u000a                      * Spot 5 10 m - 50182420609161147332J6 (XS) (Date: 2006/09/16) \u000a                      * Spot 5 10 m - 50182420909121144312J4 (XS) (Date: 2009/09/12) \u000a                      * Spot 5 10 m - 50182430606091151211J0 (XS) (Date: 2006/06/09) \u000a                      * Spot 5 10 m - 50182431001311135302J0 (XS) (Date: 2010/01/31) \u000a                      * Spot 5 2,50 m - 50172400706071208022B7 (XS) (Date: 2007/06/07) \u000a                      * Spot 5 2,50 m - 50172400909111203282B1 (P) (Date: 2009/09/11) \u000a                      * Spot 5 2,50 m - 50172410706071208112B7 (P) (Date: 2007/06/07) \u000a                      * Spot 5 2,50 m - 50172410911201118402B1 (P) (Date: 2009/11/20) \u000a                      * Spot 5 2,50 m - 50172411001301154312B8 (P) (Date: 2010/01/30) \u000a                      * Spot 5 2,50 m - 50172430909121144372B4 (P) (Date: 2009/09/12) \u000a                      * Spot 5 2,50 m - 50182410609161147232B8 (P) (Date: 2006/09/16) \u000a                      * Spot 5 2,50 m - 50182410909121144212B4 (P) (Date: 2009/09/12) \u000a                      * Spot 5 2,50 m - 50182420606091151101B7 (P) (Date: 2006/06/09) \u000a                      * Spot 5 2,50 m - 50182420909121144292B4 (P) (Date: 2009/09/12) \u000a                      * Spot 5 2,50 m - 50182431001311135272B0 (P) (Date: 2010/01/31) \u000a                      * ALOS 10 m - AL_AV2_X_20080318_113854_DLR_11442_PRUTM (XS) (Date: 2008/03/18) \u000a                      * ALOS 10 m - AL_AV2_X_20080503_113757_DLR_12113_PRUTM (XS) (Date: 2008/05/03) \u000a                      * ALOS 10 m - AL_AV2_X_20080503_113814_DLR_12113_PRUTM (XS) (Date: 2008/05/03) \u000a                      * ALOS 10 m - AL_AV2_X_20081103_113921_DLR_14797_PRUTM (XS) (Date: 2008/11/03) \u000a                      * ALOS 10 m - AL_AV2_X_20081103_113929_DLR_14797_PRUTM (XS) (Date: 2008/11/03) \u000a                      * ALOS 10 m - AL_AV2_X_20090122_114454_DLR_15964_PRUTM (XS) (Date: 2009/01/22) \u000a                      * ALOS 10 m - AL_AV2_X_20090419_113929_DLR_17233_PRUTM (XS) (Date: 2009/04/19) \u000a                      * ALOS 10 m - AL_AV2_X_20090419_113937_DLR_17233_PRUTM (XS) (Date: 2009/04/19) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090402_113717_DLR_16985_PRUTM (P) (Date: 2009/04/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090402_113721_DLR_16985_PRUTM (P) (Date: 2009/04/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090402_113725_DLR_16985_PRUTM (P) (Date: 2009/04/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090419_113929_DLR_17233_PRUTM (P) (Date: 2009/04/19)
p30722
sbg8
(g9
g10
NtRp30723
(dp30724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf402a99-ea38-438e-b5f4-b8a92936c04a
p30725
sbg8
(g9
g10
NtRp30726
(dp30727
g13
Nsg14
g74
sg15
V2006
p30728
sbg8
(g9
g10
NtRp30729
(dp30730
g13
Nsg14
g74
sg15
V2010
p30731
sbg8
(g9
g10
NtRp30732
(dp30733
g13
Nsg14
Nsg15
VTRUE
p30734
sbg8
(g9
g10
NtRp30735
(dp30736
g13
Nsg14
Nsg15
VDublin|Ireland|Land use
p30737
sbg8
(g9
g10
NtRp30738
(dp30739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30740
sbg8
(g9
g10
NtRp30741
(dp30742
g13
Nsg14
Nsg15
VFALSE
p30743
sbNg8
(g9
g10
NtRp30744
(dp30745
g13
Nsg14
Nsg15
VFALSE
p30746
sbNNNNNNNg8
(g9
g10
NtRp30747
(dp30748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30749
(dp30750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30751
(dp30752
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-ie001l_dublin_2006-2010
p30753
sbNg8
(g9
g10
NtRp30754
(dp30755
g13
Nsg14
Nsg15
Vobsolete
p30756
sbtp30757
a(g8
(g9
g10
NtRp30758
(dp30759
g13
Nsg14
Nsg15
Vadfbdc13-06c8-4a34-83f7-eb20ad75b674
p30760
sbNg8
(g9
g10
NtRp30761
(dp30762
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Sofia (\u0421\u043e\u0444\u0438\u044f)
p30763
sbNNNNNg8
(g9
g10
NtRp30764
(dp30765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30766
sbg8
(g23
g10
NtRp30767
(dp30768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30769
sbNg8
(g9
g10
NtRp30770
(dp30771
g13
Nsg14
Nsg15
VFALSE
p30772
sbNNNg8
(g9
g10
NtRp30773
(dp30774
g13
Nsg14
Nsg15
VFALSE
p30775
sbNNg8
(g9
g10
NtRp30776
(dp30777
g13
Nsg14
Nsg15
VFALSE
p30778
sbNNg8
(g9
g10
NtRp30779
(dp30780
g13
Nsg14
Nsg15
VFALSE
p30781
sbNg8
(g9
g10
NtRp30782
(dp30783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/adfbdc13-06c8-4a34-83f7-eb20ad75b674.png
p30784
sbNg8
(g9
g10
NtRp30785
(dp30786
g13
Nsg14
Nsg15
V2019-06-04
p30787
sbNNg8
(g9
g10
NtRp30788
(dp30789
g13
Nsg14
Nsg15
Vland use|urban area
p30790
sbg8
(g9
g10
NtRp30791
(dp30792
g13
Nsg14
Nsg15
Vvector
p30793
sbg8
(g9
g10
NtRp30794
(dp30795
g13
Nsg14
Nsg15
VSHP
p30796
sbNg8
(g9
g10
NtRp30797
(dp30798
g13
Nsg14
Nsg15
V1:10000
p30799
sbNg8
(g9
g10
NtRp30800
(dp30801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50872630907180941132B5 (PS) (Date: 2009/07/18) \u000a                      * Spot 5 2,50 m - 50872630907200902442B0 (PS) (Date: 2009/07/20) \u000a                      * Spot 5 2,50 m - 50872640907200902522B0 (PS) (Date: 2009/07/20) \u000a                      * Spot 5 2,50 m - 50892640910150931392B0 (PS) (Date: 2009/10/15) \u000a                      * Spot 5 2,50 m - 50892640911050928092B0 (PS) (Date: 2009/11/05)
p30802
sbg8
(g9
g10
NtRp30803
(dp30804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/adfbdc13-06c8-4a34-83f7-eb20ad75b674
p30805
sbg8
(g9
g10
NtRp30806
(dp30807
g13
Nsg14
g74
sg15
V2009
p30808
sbg8
(g9
g10
NtRp30809
(dp30810
g13
Nsg14
g74
sg15
V2009
p30811
sbg8
(g9
g10
NtRp30812
(dp30813
g13
Nsg14
Nsg15
VFALSE
p30814
sbg8
(g9
g10
NtRp30815
(dp30816
g13
Nsg14
Nsg15
VBulgaria|Land use|Sofia
p30817
sbg8
(g9
g10
NtRp30818
(dp30819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30820
sbg8
(g9
g10
NtRp30821
(dp30822
g13
Nsg14
Nsg15
VFALSE
p30823
sbNg8
(g9
g10
NtRp30824
(dp30825
g13
Nsg14
Nsg15
VFALSE
p30826
sbNNNNNNNg8
(g9
g10
NtRp30827
(dp30828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30829
(dp30830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30831
(dp30832
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-bg001l_sofia_2009
p30833
sbNg8
(g9
g10
NtRp30834
(dp30835
g13
Nsg14
Nsg15
Vobsolete
p30836
sbtp30837
a(g8
(g9
g10
NtRp30838
(dp30839
g13
Nsg14
Nsg15
Va162163a-ef25-4e6f-ad89-8145a15dbce2
p30840
sbNg8
(g9
g10
NtRp30841
(dp30842
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Porto
p30843
sbNNNNNg8
(g9
g10
NtRp30844
(dp30845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30846
sbg8
(g23
g10
NtRp30847
(dp30848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30849
sbNg8
(g9
g10
NtRp30850
(dp30851
g13
Nsg14
Nsg15
VFALSE
p30852
sbNNNg8
(g9
g10
NtRp30853
(dp30854
g13
Nsg14
Nsg15
VFALSE
p30855
sbNNg8
(g9
g10
NtRp30856
(dp30857
g13
Nsg14
Nsg15
VFALSE
p30858
sbNNg8
(g9
g10
NtRp30859
(dp30860
g13
Nsg14
Nsg15
VFALSE
p30861
sbNg8
(g9
g10
NtRp30862
(dp30863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a162163a-ef25-4e6f-ad89-8145a15dbce2.png
p30864
sbNg8
(g9
g10
NtRp30865
(dp30866
g13
Nsg14
Nsg15
V2019-06-04
p30867
sbNNg8
(g9
g10
NtRp30868
(dp30869
g13
Nsg14
Nsg15
Vland use|urban area
p30870
sbg8
(g9
g10
NtRp30871
(dp30872
g13
Nsg14
Nsg15
Vvector
p30873
sbg8
(g9
g10
NtRp30874
(dp30875
g13
Nsg14
Nsg15
VSHP
p30876
sbNg8
(g9
g10
NtRp30877
(dp30878
g13
Nsg14
Nsg15
V1:10000
p30879
sbNg8
(g9
g10
NtRp30880
(dp30881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50242670505261145071B8 (P) (Date: 2005/05/26) \u000a                      * ALOS 10 m - AL_AV2_X_20070508_113340_DLR_6847_PRUTM (X) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113336_DLR_6847_PRUTM (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070508_113340_DLR_6847_PRUTM (P) (Date: 2007/05/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090426_113218_DLR_17335_PRUTM (P) (Date: 2009/04/26)
p30882
sbg8
(g9
g10
NtRp30883
(dp30884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a162163a-ef25-4e6f-ad89-8145a15dbce2
p30885
sbg8
(g9
g10
NtRp30886
(dp30887
g13
Nsg14
g74
sg15
V2005
p30888
sbg8
(g9
g10
NtRp30889
(dp30890
g13
Nsg14
g74
sg15
V2009
p30891
sbg8
(g9
g10
NtRp30892
(dp30893
g13
Nsg14
Nsg15
VTRUE
p30894
sbg8
(g9
g10
NtRp30895
(dp30896
g13
Nsg14
Nsg15
VLand use|Porto|Portugal
p30897
sbg8
(g9
g10
NtRp30898
(dp30899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30900
sbg8
(g9
g10
NtRp30901
(dp30902
g13
Nsg14
Nsg15
VFALSE
p30903
sbNg8
(g9
g10
NtRp30904
(dp30905
g13
Nsg14
Nsg15
VFALSE
p30906
sbNNNNNNNg8
(g9
g10
NtRp30907
(dp30908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30909
(dp30910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30911
(dp30912
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt002l_oporto_2005-2009
p30913
sbNg8
(g9
g10
NtRp30914
(dp30915
g13
Nsg14
Nsg15
Vobsolete
p30916
sbtp30917
a(g8
(g9
g10
NtRp30918
(dp30919
g13
Nsg14
Nsg15
Vb55ec5eb-a318-4ddb-aec8-e498a9bcb71c
p30920
sbNg8
(g9
g10
NtRp30921
(dp30922
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Malmö
p30923
sbNNNNNg8
(g9
g10
NtRp30924
(dp30925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p30926
sbg8
(g23
g10
NtRp30927
(dp30928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p30929
sbNg8
(g9
g10
NtRp30930
(dp30931
g13
Nsg14
Nsg15
VFALSE
p30932
sbNNNg8
(g9
g10
NtRp30933
(dp30934
g13
Nsg14
Nsg15
VFALSE
p30935
sbNNg8
(g9
g10
NtRp30936
(dp30937
g13
Nsg14
Nsg15
VFALSE
p30938
sbNNg8
(g9
g10
NtRp30939
(dp30940
g13
Nsg14
Nsg15
VFALSE
p30941
sbNg8
(g9
g10
NtRp30942
(dp30943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55ec5eb-a318-4ddb-aec8-e498a9bcb71c.png
p30944
sbNg8
(g9
g10
NtRp30945
(dp30946
g13
Nsg14
Nsg15
V2019-06-04
p30947
sbNNg8
(g9
g10
NtRp30948
(dp30949
g13
Nsg14
Nsg15
Vland use|urban area
p30950
sbg8
(g9
g10
NtRp30951
(dp30952
g13
Nsg14
Nsg15
Vvector
p30953
sbg8
(g9
g10
NtRp30954
(dp30955
g13
Nsg14
Nsg15
VSHP
p30956
sbNg8
(g9
g10
NtRp30957
(dp30958
g13
Nsg14
Nsg15
V1:10000
p30959
sbNg8
(g9
g10
NtRp30960
(dp30961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538042 (PS) (Date: 2006/09/21) \u000a                      * Spot 5 2,50 m - 00183756043 (PS) (Date: 2006/09/26)
p30962
sbg8
(g9
g10
NtRp30963
(dp30964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55ec5eb-a318-4ddb-aec8-e498a9bcb71c
p30965
sbg8
(g9
g10
NtRp30966
(dp30967
g13
Nsg14
g74
sg15
V2006
p30968
sbg8
(g9
g10
NtRp30969
(dp30970
g13
Nsg14
g74
sg15
V2006
p30971
sbg8
(g9
g10
NtRp30972
(dp30973
g13
Nsg14
Nsg15
VFALSE
p30974
sbg8
(g9
g10
NtRp30975
(dp30976
g13
Nsg14
Nsg15
VLand use|Malmö|Sweden
p30977
sbg8
(g9
g10
NtRp30978
(dp30979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p30980
sbg8
(g9
g10
NtRp30981
(dp30982
g13
Nsg14
Nsg15
VFALSE
p30983
sbNg8
(g9
g10
NtRp30984
(dp30985
g13
Nsg14
Nsg15
VFALSE
p30986
sbNNNNNNNg8
(g9
g10
NtRp30987
(dp30988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp30989
(dp30990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp30991
(dp30992
g13
Nsg14
Nsg15
Vregio_v_32633_50_k_urban-atlas-se003l_malmo_2006
p30993
sbNg8
(g9
g10
NtRp30994
(dp30995
g13
Nsg14
Nsg15
Vobsolete
p30996
sbtp30997
a(g8
(g9
g10
NtRp30998
(dp30999
g13
Nsg14
Nsg15
V77cc3ca7-f226-40e4-b4c6-9a484e76f407
p31000
sbNg8
(g9
g10
NtRp31001
(dp31002
g13
Nsg14
Nsg15
VUrban Atlas - Sweden - Uppsala
p31003
sbNNNNNg8
(g9
g10
NtRp31004
(dp31005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31006
sbg8
(g23
g10
NtRp31007
(dp31008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31009
sbNg8
(g9
g10
NtRp31010
(dp31011
g13
Nsg14
Nsg15
VFALSE
p31012
sbNNNg8
(g9
g10
NtRp31013
(dp31014
g13
Nsg14
Nsg15
VFALSE
p31015
sbNNg8
(g9
g10
NtRp31016
(dp31017
g13
Nsg14
Nsg15
VFALSE
p31018
sbNNg8
(g9
g10
NtRp31019
(dp31020
g13
Nsg14
Nsg15
VFALSE
p31021
sbNg8
(g9
g10
NtRp31022
(dp31023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/77cc3ca7-f226-40e4-b4c6-9a484e76f407.png
p31024
sbNg8
(g9
g10
NtRp31025
(dp31026
g13
Nsg14
Nsg15
V2019-06-04
p31027
sbNNg8
(g9
g10
NtRp31028
(dp31029
g13
Nsg14
Nsg15
Vland use|urban area
p31030
sbg8
(g9
g10
NtRp31031
(dp31032
g13
Nsg14
Nsg15
Vvector
p31033
sbg8
(g9
g10
NtRp31034
(dp31035
g13
Nsg14
Nsg15
VSHP
p31036
sbNg8
(g9
g10
NtRp31037
(dp31038
g13
Nsg14
Nsg15
V1:10000
p31039
sbNg8
(g9
g10
NtRp31040
(dp31041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572261005150952552B0 (Date: 2010/05/15) \u000a                      * Spot 5 2,50 m - 50572271005150953032B0 (Date: 2010/05/15) \u000a                      * Spot 5 2,50 m - 50582261010011020332B0 (Date: 2010/10/01) \u000a                      * Spot 5 2,50 m - 50582270906241038042B0 (Date: 2009/06/24) \u000a                      * Spot 5 2,50 m - 50582280906241038122B0 (Date: 2009/06/24) \u000a                      * Spot 5 2,50 m - 50612271006050949122B0 (Date: 2010/06/05)
p31042
sbg8
(g9
g10
NtRp31043
(dp31044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/77cc3ca7-f226-40e4-b4c6-9a484e76f407
p31045
sbg8
(g9
g10
NtRp31046
(dp31047
g13
Nsg14
g74
sg15
V2009
p31048
sbg8
(g9
g10
NtRp31049
(dp31050
g13
Nsg14
g74
sg15
V2010
p31051
sbg8
(g9
g10
NtRp31052
(dp31053
g13
Nsg14
Nsg15
VTRUE
p31054
sbg8
(g9
g10
NtRp31055
(dp31056
g13
Nsg14
Nsg15
VLand use|Sweden|Uppsala
p31057
sbg8
(g9
g10
NtRp31058
(dp31059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31060
sbg8
(g9
g10
NtRp31061
(dp31062
g13
Nsg14
Nsg15
VFALSE
p31063
sbNg8
(g9
g10
NtRp31064
(dp31065
g13
Nsg14
Nsg15
VFALSE
p31066
sbNNNNNNNg8
(g9
g10
NtRp31067
(dp31068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31069
(dp31070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31071
(dp31072
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-se006l_uppsala_2009-2010
p31073
sbNg8
(g9
g10
NtRp31074
(dp31075
g13
Nsg14
Nsg15
Vobsolete
p31076
sbtp31077
a(g8
(g9
g10
NtRp31078
(dp31079
g13
Nsg14
Nsg15
V89f85543-f3f3-4229-a740-d19a2b68b0fc
p31080
sbNg8
(g9
g10
NtRp31081
(dp31082
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Edinburgh
p31083
sbNNNNNg8
(g9
g10
NtRp31084
(dp31085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31086
sbg8
(g23
g10
NtRp31087
(dp31088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31089
sbNg8
(g9
g10
NtRp31090
(dp31091
g13
Nsg14
Nsg15
VFALSE
p31092
sbNNNg8
(g9
g10
NtRp31093
(dp31094
g13
Nsg14
Nsg15
VFALSE
p31095
sbNNg8
(g9
g10
NtRp31096
(dp31097
g13
Nsg14
Nsg15
VFALSE
p31098
sbNNg8
(g9
g10
NtRp31099
(dp31100
g13
Nsg14
Nsg15
VFALSE
p31101
sbNg8
(g9
g10
NtRp31102
(dp31103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f85543-f3f3-4229-a740-d19a2b68b0fc.png
p31104
sbNg8
(g9
g10
NtRp31105
(dp31106
g13
Nsg14
Nsg15
V2019-06-04
p31107
sbNNg8
(g9
g10
NtRp31108
(dp31109
g13
Nsg14
Nsg15
Vland use|urban area
p31110
sbg8
(g9
g10
NtRp31111
(dp31112
g13
Nsg14
Nsg15
Vvector
p31113
sbg8
(g9
g10
NtRp31114
(dp31115
g13
Nsg14
Nsg15
VSHP
p31116
sbNg8
(g9
g10
NtRp31117
(dp31118
g13
Nsg14
Nsg15
V1:10000
p31119
sbNg8
(g9
g10
NtRp31120
(dp31121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50212360911081148352B0 (PS) (Date: 2009/11/08) \u000a                      * Spot 5 2,50 m - 50222360909121143332B2 (PS) (Date: 2009/09/12)
p31122
sbg8
(g9
g10
NtRp31123
(dp31124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f85543-f3f3-4229-a740-d19a2b68b0fc
p31125
sbg8
(g9
g10
NtRp31126
(dp31127
g13
Nsg14
g74
sg15
V2009
p31128
sbg8
(g9
g10
NtRp31129
(dp31130
g13
Nsg14
g74
sg15
V2009
p31131
sbg8
(g9
g10
NtRp31132
(dp31133
g13
Nsg14
Nsg15
VFALSE
p31134
sbg8
(g9
g10
NtRp31135
(dp31136
g13
Nsg14
Nsg15
VEdinburgh|Land use|United Kingdom
p31137
sbg8
(g9
g10
NtRp31138
(dp31139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31140
sbg8
(g9
g10
NtRp31141
(dp31142
g13
Nsg14
Nsg15
VFALSE
p31143
sbNg8
(g9
g10
NtRp31144
(dp31145
g13
Nsg14
Nsg15
VFALSE
p31146
sbNNNNNNNg8
(g9
g10
NtRp31147
(dp31148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31149
(dp31150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31151
(dp31152
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk007l_edinburgh_2009
p31153
sbNg8
(g9
g10
NtRp31154
(dp31155
g13
Nsg14
Nsg15
Vobsolete
p31156
sbtp31157
a(g8
(g9
g10
NtRp31158
(dp31159
g13
Nsg14
Nsg15
V1a568458-d27b-47ce-8c45-ce5ea2c300e1
p31160
sbNg8
(g9
g10
NtRp31161
(dp31162
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Leicester
p31163
sbNNNNNg8
(g9
g10
NtRp31164
(dp31165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31166
sbg8
(g23
g10
NtRp31167
(dp31168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31169
sbNg8
(g9
g10
NtRp31170
(dp31171
g13
Nsg14
Nsg15
VFALSE
p31172
sbNNNg8
(g9
g10
NtRp31173
(dp31174
g13
Nsg14
Nsg15
VFALSE
p31175
sbNNg8
(g9
g10
NtRp31176
(dp31177
g13
Nsg14
Nsg15
VFALSE
p31178
sbNNg8
(g9
g10
NtRp31179
(dp31180
g13
Nsg14
Nsg15
VFALSE
p31181
sbNg8
(g9
g10
NtRp31182
(dp31183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1a568458-d27b-47ce-8c45-ce5ea2c300e1.png
p31184
sbNg8
(g9
g10
NtRp31185
(dp31186
g13
Nsg14
Nsg15
V2019-06-04
p31187
sbNNg8
(g9
g10
NtRp31188
(dp31189
g13
Nsg14
Nsg15
Vland use|urban area
p31190
sbg8
(g9
g10
NtRp31191
(dp31192
g13
Nsg14
Nsg15
Vvector
p31193
sbg8
(g9
g10
NtRp31194
(dp31195
g13
Nsg14
Nsg15
VSHP
p31196
sbNg8
(g9
g10
NtRp31197
(dp31198
g13
Nsg14
Nsg15
V1:10000
p31199
sbNg8
(g9
g10
NtRp31200
(dp31201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50292430609171128082B2 (PS) (Date: 2006/10/29) \u000a                      * Spot 5 2,50 m - 50302430610291120201B8 (PS) (Date: 2006/11/19) \u000a                      * Spot 5 2,50 m - 50302430611191116222B1 (PS) (Date: 2006/09/17)
p31202
sbg8
(g9
g10
NtRp31203
(dp31204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1a568458-d27b-47ce-8c45-ce5ea2c300e1
p31205
sbg8
(g9
g10
NtRp31206
(dp31207
g13
Nsg14
g74
sg15
V2006
p31208
sbg8
(g9
g10
NtRp31209
(dp31210
g13
Nsg14
g74
sg15
V2006
p31211
sbg8
(g9
g10
NtRp31212
(dp31213
g13
Nsg14
Nsg15
VFALSE
p31214
sbg8
(g9
g10
NtRp31215
(dp31216
g13
Nsg14
Nsg15
VLand use|Leicester|United Kingdom
p31217
sbg8
(g9
g10
NtRp31218
(dp31219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31220
sbg8
(g9
g10
NtRp31221
(dp31222
g13
Nsg14
Nsg15
VFALSE
p31223
sbNg8
(g9
g10
NtRp31224
(dp31225
g13
Nsg14
Nsg15
VFALSE
p31226
sbNNNNNNNg8
(g9
g10
NtRp31227
(dp31228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31229
(dp31230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31231
(dp31232
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk014l_leicester_2006
p31233
sbNg8
(g9
g10
NtRp31234
(dp31235
g13
Nsg14
Nsg15
Vobsolete
p31236
sbtp31237
a(g8
(g9
g10
NtRp31238
(dp31239
g13
Nsg14
Nsg15
V0c5acb58-e547-430c-ba91-cf3c1d0d4e24
p31240
sbNg8
(g9
g10
NtRp31241
(dp31242
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Toru\u0144
p31243
sbNNNNNg8
(g9
g10
NtRp31244
(dp31245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31246
sbg8
(g23
g10
NtRp31247
(dp31248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31249
sbNg8
(g9
g10
NtRp31250
(dp31251
g13
Nsg14
Nsg15
VFALSE
p31252
sbNNNg8
(g9
g10
NtRp31253
(dp31254
g13
Nsg14
Nsg15
VFALSE
p31255
sbNNg8
(g9
g10
NtRp31256
(dp31257
g13
Nsg14
Nsg15
VFALSE
p31258
sbNNg8
(g9
g10
NtRp31259
(dp31260
g13
Nsg14
Nsg15
VFALSE
p31261
sbNg8
(g9
g10
NtRp31262
(dp31263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c5acb58-e547-430c-ba91-cf3c1d0d4e24.png
p31264
sbNg8
(g9
g10
NtRp31265
(dp31266
g13
Nsg14
Nsg15
V2019-06-04
p31267
sbNNg8
(g9
g10
NtRp31268
(dp31269
g13
Nsg14
Nsg15
Vland use|urban area
p31270
sbg8
(g9
g10
NtRp31271
(dp31272
g13
Nsg14
Nsg15
Vvector
p31273
sbg8
(g9
g10
NtRp31274
(dp31275
g13
Nsg14
Nsg15
VSHP
p31276
sbNg8
(g9
g10
NtRp31277
(dp31278
g13
Nsg14
Nsg15
V1:10000
p31279
sbNg8
(g9
g10
NtRp31280
(dp31281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,5 m - 00186394003 (PS) (Date: 2005/09/02) \u000a                      * SPOT 5 2,5 m - 00186394004 (PS) (Date: 2005/09/02) \u000a                      * SPOT 5 2,5 m - 00186394005 (PS) (Date: 2005/09/08)
p31282
sbg8
(g9
g10
NtRp31283
(dp31284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c5acb58-e547-430c-ba91-cf3c1d0d4e24
p31285
sbg8
(g9
g10
NtRp31286
(dp31287
g13
Nsg14
g74
sg15
V2005
p31288
sbg8
(g9
g10
NtRp31289
(dp31290
g13
Nsg14
g74
sg15
V2005
p31291
sbg8
(g9
g10
NtRp31292
(dp31293
g13
Nsg14
Nsg15
VFALSE
p31294
sbg8
(g9
g10
NtRp31295
(dp31296
g13
Nsg14
Nsg15
VLand use|Poland|Toru\u0144
p31297
sbg8
(g9
g10
NtRp31298
(dp31299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31300
sbg8
(g9
g10
NtRp31301
(dp31302
g13
Nsg14
Nsg15
VFALSE
p31303
sbNg8
(g9
g10
NtRp31304
(dp31305
g13
Nsg14
Nsg15
VFALSE
p31306
sbNNNNNNNg8
(g9
g10
NtRp31307
(dp31308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31309
(dp31310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31311
(dp31312
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl013l_torun_2005
p31313
sbNg8
(g9
g10
NtRp31314
(dp31315
g13
Nsg14
Nsg15
Vobsolete
p31316
sbtp31317
a(g8
(g9
g10
NtRp31318
(dp31319
g13
Nsg14
Nsg15
V20215ecc-a89f-4c93-9096-bbb3e9b5fcf7
p31320
sbNg8
(g9
g10
NtRp31321
(dp31322
g13
Nsg14
Nsg15
VUrban Atlas - Denmark - Copenhagen (København)
p31323
sbNNNNNg8
(g9
g10
NtRp31324
(dp31325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31326
sbg8
(g23
g10
NtRp31327
(dp31328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31329
sbNg8
(g9
g10
NtRp31330
(dp31331
g13
Nsg14
Nsg15
VFALSE
p31332
sbNNNg8
(g9
g10
NtRp31333
(dp31334
g13
Nsg14
Nsg15
VFALSE
p31335
sbNNg8
(g9
g10
NtRp31336
(dp31337
g13
Nsg14
Nsg15
VFALSE
p31338
sbNNg8
(g9
g10
NtRp31339
(dp31340
g13
Nsg14
Nsg15
VFALSE
p31341
sbNg8
(g9
g10
NtRp31342
(dp31343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20215ecc-a89f-4c93-9096-bbb3e9b5fcf7.png
p31344
sbNg8
(g9
g10
NtRp31345
(dp31346
g13
Nsg14
Nsg15
V2019-06-04
p31347
sbNNg8
(g9
g10
NtRp31348
(dp31349
g13
Nsg14
Nsg15
Vland use|urban area
p31350
sbg8
(g9
g10
NtRp31351
(dp31352
g13
Nsg14
Nsg15
Vvector
p31353
sbg8
(g9
g10
NtRp31354
(dp31355
g13
Nsg14
Nsg15
VSHP
p31356
sbNg8
(g9
g10
NtRp31357
(dp31358
g13
Nsg14
Nsg15
V1:10000
p31359
sbNg8
(g9
g10
NtRp31360
(dp31361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182781001(P) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182781002(P) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 00182781003(P) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00182781004(P) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00182781005(XS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182781006(XS) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 00182781007(XS) (Date: 2006/09/25) \u000a                      * Spot 5 2,50 m - 00182781008(XS) (Date: 2006/09/25)
p31362
sbg8
(g9
g10
NtRp31363
(dp31364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20215ecc-a89f-4c93-9096-bbb3e9b5fcf7
p31365
sbg8
(g9
g10
NtRp31366
(dp31367
g13
Nsg14
g74
sg15
V2006
p31368
sbg8
(g9
g10
NtRp31369
(dp31370
g13
Nsg14
g74
sg15
V2006
p31371
sbg8
(g9
g10
NtRp31372
(dp31373
g13
Nsg14
Nsg15
VFALSE
p31374
sbg8
(g9
g10
NtRp31375
(dp31376
g13
Nsg14
Nsg15
VCopenhagen|Denmark|Land use
p31377
sbg8
(g9
g10
NtRp31378
(dp31379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31380
sbg8
(g9
g10
NtRp31381
(dp31382
g13
Nsg14
Nsg15
VFALSE
p31383
sbNg8
(g9
g10
NtRp31384
(dp31385
g13
Nsg14
Nsg15
VFALSE
p31386
sbNNNNNNNg8
(g9
g10
NtRp31387
(dp31388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31389
(dp31390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31391
(dp31392
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-dk001l_kobenhavn_2006
p31393
sbNg8
(g9
g10
NtRp31394
(dp31395
g13
Nsg14
Nsg15
Vobsolete
p31396
sbtp31397
a(g8
(g9
g10
NtRp31398
(dp31399
g13
Nsg14
Nsg15
Va6d8ffee-1d34-4da7-b90d-b7501b987c85
p31400
sbNg8
(g9
g10
NtRp31401
(dp31402
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Setúbal
p31403
sbNNNNNg8
(g9
g10
NtRp31404
(dp31405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31406
sbg8
(g23
g10
NtRp31407
(dp31408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31409
sbNg8
(g9
g10
NtRp31410
(dp31411
g13
Nsg14
Nsg15
VFALSE
p31412
sbNNNg8
(g9
g10
NtRp31413
(dp31414
g13
Nsg14
Nsg15
VFALSE
p31415
sbNNg8
(g9
g10
NtRp31416
(dp31417
g13
Nsg14
Nsg15
VFALSE
p31418
sbNNg8
(g9
g10
NtRp31419
(dp31420
g13
Nsg14
Nsg15
VFALSE
p31421
sbNg8
(g9
g10
NtRp31422
(dp31423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a6d8ffee-1d34-4da7-b90d-b7501b987c85.png
p31424
sbNg8
(g9
g10
NtRp31425
(dp31426
g13
Nsg14
Nsg15
V2019-06-04
p31427
sbNNg8
(g9
g10
NtRp31428
(dp31429
g13
Nsg14
Nsg15
Vland use|urban area
p31430
sbg8
(g9
g10
NtRp31431
(dp31432
g13
Nsg14
Nsg15
Vvector
p31433
sbg8
(g9
g10
NtRp31434
(dp31435
g13
Nsg14
Nsg15
VSHP
p31436
sbNg8
(g9
g10
NtRp31437
(dp31438
g13
Nsg14
Nsg15
V1:10000
p31439
sbNg8
(g9
g10
NtRp31440
(dp31441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070722_113207_DLR_7941_PREU (XS) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090611_113321_DLR_18006_PREU (P) (Date: 2009/06/11)
p31442
sbg8
(g9
g10
NtRp31443
(dp31444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a6d8ffee-1d34-4da7-b90d-b7501b987c85
p31445
sbg8
(g9
g10
NtRp31446
(dp31447
g13
Nsg14
g74
sg15
V2007
p31448
sbg8
(g9
g10
NtRp31449
(dp31450
g13
Nsg14
g74
sg15
V2009
p31451
sbg8
(g9
g10
NtRp31452
(dp31453
g13
Nsg14
Nsg15
VTRUE
p31454
sbg8
(g9
g10
NtRp31455
(dp31456
g13
Nsg14
Nsg15
VLand use|Portugal|Setúbal
p31457
sbg8
(g9
g10
NtRp31458
(dp31459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31460
sbg8
(g9
g10
NtRp31461
(dp31462
g13
Nsg14
Nsg15
VFALSE
p31463
sbNg8
(g9
g10
NtRp31464
(dp31465
g13
Nsg14
Nsg15
VFALSE
p31466
sbNNNNNNNg8
(g9
g10
NtRp31467
(dp31468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31469
(dp31470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31471
(dp31472
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt006l_setubal_2007-2009
p31473
sbNg8
(g9
g10
NtRp31474
(dp31475
g13
Nsg14
Nsg15
Vobsolete
p31476
sbtp31477
a(g8
(g9
g10
NtRp31478
(dp31479
g13
Nsg14
Nsg15
V0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb
p31480
sbNg8
(g9
g10
NtRp31481
(dp31482
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Toledo
p31483
sbNNNNNg8
(g9
g10
NtRp31484
(dp31485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31486
sbg8
(g23
g10
NtRp31487
(dp31488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31489
sbNg8
(g9
g10
NtRp31490
(dp31491
g13
Nsg14
Nsg15
VFALSE
p31492
sbNNNg8
(g9
g10
NtRp31493
(dp31494
g13
Nsg14
Nsg15
VFALSE
p31495
sbNNg8
(g9
g10
NtRp31496
(dp31497
g13
Nsg14
Nsg15
VFALSE
p31498
sbNNg8
(g9
g10
NtRp31499
(dp31500
g13
Nsg14
Nsg15
VFALSE
p31501
sbNg8
(g9
g10
NtRp31502
(dp31503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb.png
p31504
sbNg8
(g9
g10
NtRp31505
(dp31506
g13
Nsg14
Nsg15
V2019-06-04
p31507
sbNNg8
(g9
g10
NtRp31508
(dp31509
g13
Nsg14
Nsg15
Vland use|urban area
p31510
sbg8
(g9
g10
NtRp31511
(dp31512
g13
Nsg14
Nsg15
Vvector
p31513
sbg8
(g9
g10
NtRp31514
(dp31515
g13
Nsg14
Nsg15
VSHP
p31516
sbNg8
(g9
g10
NtRp31517
(dp31518
g13
Nsg14
Nsg15
V1:10000
p31519
sbNg8
(g9
g10
NtRp31520
(dp31521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50322700709061120191B0 (PS) (Date: 2007/09/06) \u000a                      * Spot 5 2,50 m - 50332700507291113292B0 (PS) (Date: 2005/07/29) \u000a                      * Spot 5 2,50 m - 50332710506281110191B0 (PS) (Date: 2005/06/28) \u000a                      * Spot 5 2,50 m - 50352700506171121522B7 (PS) (Date: 2005/06/17)
p31522
sbg8
(g9
g10
NtRp31523
(dp31524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb
p31525
sbg8
(g9
g10
NtRp31526
(dp31527
g13
Nsg14
g74
sg15
V2005
p31528
sbg8
(g9
g10
NtRp31529
(dp31530
g13
Nsg14
g74
sg15
V2007
p31531
sbg8
(g9
g10
NtRp31532
(dp31533
g13
Nsg14
Nsg15
VTRUE
p31534
sbg8
(g9
g10
NtRp31535
(dp31536
g13
Nsg14
Nsg15
VLand use|Spain|Toledo
p31537
sbg8
(g9
g10
NtRp31538
(dp31539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31540
sbg8
(g9
g10
NtRp31541
(dp31542
g13
Nsg14
Nsg15
VFALSE
p31543
sbNg8
(g9
g10
NtRp31544
(dp31545
g13
Nsg14
Nsg15
VFALSE
p31546
sbNNNNNNNg8
(g9
g10
NtRp31547
(dp31548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31549
(dp31550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31551
(dp31552
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es016l_toledo_2005-2007
p31553
sbNg8
(g9
g10
NtRp31554
(dp31555
g13
Nsg14
Nsg15
Vobsolete
p31556
sbtp31557
a(g8
(g9
g10
NtRp31558
(dp31559
g13
Nsg14
Nsg15
V3b02048f-238f-4e97-a84e-e652c28b8f7f
p31560
sbNg8
(g9
g10
NtRp31561
(dp31562
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Varna (\u0412\u0430\u0440\u043d\u0430)
p31563
sbNNNNNg8
(g9
g10
NtRp31564
(dp31565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31566
sbg8
(g23
g10
NtRp31567
(dp31568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31569
sbNg8
(g9
g10
NtRp31570
(dp31571
g13
Nsg14
Nsg15
VFALSE
p31572
sbNNNg8
(g9
g10
NtRp31573
(dp31574
g13
Nsg14
Nsg15
VFALSE
p31575
sbNNg8
(g9
g10
NtRp31576
(dp31577
g13
Nsg14
Nsg15
VFALSE
p31578
sbNNg8
(g9
g10
NtRp31579
(dp31580
g13
Nsg14
Nsg15
VFALSE
p31581
sbNg8
(g9
g10
NtRp31582
(dp31583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b02048f-238f-4e97-a84e-e652c28b8f7f.png
p31584
sbNg8
(g9
g10
NtRp31585
(dp31586
g13
Nsg14
Nsg15
V2019-06-04
p31587
sbNNg8
(g9
g10
NtRp31588
(dp31589
g13
Nsg14
Nsg15
Vland use|urban area
p31590
sbg8
(g9
g10
NtRp31591
(dp31592
g13
Nsg14
Nsg15
Vvector
p31593
sbg8
(g9
g10
NtRp31594
(dp31595
g13
Nsg14
Nsg15
VSHP
p31596
sbNg8
(g9
g10
NtRp31597
(dp31598
g13
Nsg14
Nsg15
V1:10000
p31599
sbNg8
(g9
g10
NtRp31600
(dp31601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070704_090917_DLR_7677_PRUTM (XS) (Date: 2007/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070704_090913_DLR_7677_PRUTM (P) (Date: 2007/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070704_090917_DLR_7677_PRUTM (P) (Date: 2007/07/04) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080521_090604_DLR_12374_PRUTM (P) (Date: 2008/05/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080521_090609_DLR_12374_PRUTM (P) (Date: 2008/05/21)
p31602
sbg8
(g9
g10
NtRp31603
(dp31604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b02048f-238f-4e97-a84e-e652c28b8f7f
p31605
sbg8
(g9
g10
NtRp31606
(dp31607
g13
Nsg14
g74
sg15
V2007
p31608
sbg8
(g9
g10
NtRp31609
(dp31610
g13
Nsg14
g74
sg15
V2008
p31611
sbg8
(g9
g10
NtRp31612
(dp31613
g13
Nsg14
Nsg15
VTRUE
p31614
sbg8
(g9
g10
NtRp31615
(dp31616
g13
Nsg14
Nsg15
VBulgaria|Land use|Varna
p31617
sbg8
(g9
g10
NtRp31618
(dp31619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31620
sbg8
(g9
g10
NtRp31621
(dp31622
g13
Nsg14
Nsg15
VFALSE
p31623
sbNg8
(g9
g10
NtRp31624
(dp31625
g13
Nsg14
Nsg15
VFALSE
p31626
sbNNNNNNNg8
(g9
g10
NtRp31627
(dp31628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31629
(dp31630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31631
(dp31632
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg003l_varna_2007-2008
p31633
sbNg8
(g9
g10
NtRp31634
(dp31635
g13
Nsg14
Nsg15
Vobsolete
p31636
sbtp31637
a(g8
(g9
g10
NtRp31638
(dp31639
g13
Nsg14
Nsg15
V13b285f9-fc92-47a4-b15e-a4cc6c247b81
p31640
sbNg8
(g9
g10
NtRp31641
(dp31642
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Leipzig
p31643
sbNNNNNg8
(g9
g10
NtRp31644
(dp31645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31646
sbg8
(g23
g10
NtRp31647
(dp31648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31649
sbNg8
(g9
g10
NtRp31650
(dp31651
g13
Nsg14
Nsg15
VFALSE
p31652
sbNNNg8
(g9
g10
NtRp31653
(dp31654
g13
Nsg14
Nsg15
VFALSE
p31655
sbNNg8
(g9
g10
NtRp31656
(dp31657
g13
Nsg14
Nsg15
VFALSE
p31658
sbNNg8
(g9
g10
NtRp31659
(dp31660
g13
Nsg14
Nsg15
VFALSE
p31661
sbNg8
(g9
g10
NtRp31662
(dp31663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/13b285f9-fc92-47a4-b15e-a4cc6c247b81.png
p31664
sbNg8
(g9
g10
NtRp31665
(dp31666
g13
Nsg14
Nsg15
V2019-06-04
p31667
sbNNg8
(g9
g10
NtRp31668
(dp31669
g13
Nsg14
Nsg15
Vland use|urban area
p31670
sbg8
(g9
g10
NtRp31671
(dp31672
g13
Nsg14
Nsg15
Vvector
p31673
sbg8
(g9
g10
NtRp31674
(dp31675
g13
Nsg14
Nsg15
VSHP
p31676
sbNg8
(g9
g10
NtRp31677
(dp31678
g13
Nsg14
Nsg15
V1:10000
p31679
sbNg8
(g9
g10
NtRp31680
(dp31681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50572450609151026022B0 (P) (Date: 2006/09/15) \u000a                      * Spot 5 2,50 m - 50572460609151026112B0 (P) (Date: 2006/09/15) \u000a                      * Spot 5 2,50 m - 50582450505291043231B4 (P) (Date: 2005/05/29) \u000a                      * Spot 5 2,50 m - 50592460505291043311B4 (P) (Date: 2005/05/29) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070416_094347_DLR_6525_PRUTM (XS) (Date: 2007/04/16) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16)
p31682
sbg8
(g9
g10
NtRp31683
(dp31684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13b285f9-fc92-47a4-b15e-a4cc6c247b81
p31685
sbg8
(g9
g10
NtRp31686
(dp31687
g13
Nsg14
g74
sg15
V2005
p31688
sbg8
(g9
g10
NtRp31689
(dp31690
g13
Nsg14
g74
sg15
V2007
p31691
sbg8
(g9
g10
NtRp31692
(dp31693
g13
Nsg14
Nsg15
VTRUE
p31694
sbg8
(g9
g10
NtRp31695
(dp31696
g13
Nsg14
Nsg15
VGermany|Land use|Leipzig
p31697
sbg8
(g9
g10
NtRp31698
(dp31699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31700
sbg8
(g9
g10
NtRp31701
(dp31702
g13
Nsg14
Nsg15
VFALSE
p31703
sbNg8
(g9
g10
NtRp31704
(dp31705
g13
Nsg14
Nsg15
VFALSE
p31706
sbNNNNNNNg8
(g9
g10
NtRp31707
(dp31708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31709
(dp31710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31711
(dp31712
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-de008l_leipzig_2005-2007
p31713
sbNg8
(g9
g10
NtRp31714
(dp31715
g13
Nsg14
Nsg15
Vobsolete
p31716
sbtp31717
a(g8
(g9
g10
NtRp31718
(dp31719
g13
Nsg14
Nsg15
V57039bb1-090a-4102-9730-94378a7c40f9
p31720
sbNg8
(g9
g10
NtRp31721
(dp31722
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Florence (Firenze)
p31723
sbNNNNNg8
(g9
g10
NtRp31724
(dp31725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31726
sbg8
(g23
g10
NtRp31727
(dp31728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31729
sbNg8
(g9
g10
NtRp31730
(dp31731
g13
Nsg14
Nsg15
VFALSE
p31732
sbNNNg8
(g9
g10
NtRp31733
(dp31734
g13
Nsg14
Nsg15
VFALSE
p31735
sbNNg8
(g9
g10
NtRp31736
(dp31737
g13
Nsg14
Nsg15
VFALSE
p31738
sbNNg8
(g9
g10
NtRp31739
(dp31740
g13
Nsg14
Nsg15
VFALSE
p31741
sbNg8
(g9
g10
NtRp31742
(dp31743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/57039bb1-090a-4102-9730-94378a7c40f9.png
p31744
sbNg8
(g9
g10
NtRp31745
(dp31746
g13
Nsg14
Nsg15
V2019-06-04
p31747
sbNNg8
(g9
g10
NtRp31748
(dp31749
g13
Nsg14
Nsg15
Vland use|urban area
p31750
sbg8
(g9
g10
NtRp31751
(dp31752
g13
Nsg14
Nsg15
Vvector
p31753
sbg8
(g9
g10
NtRp31754
(dp31755
g13
Nsg14
Nsg15
VSHP
p31756
sbNg8
(g9
g10
NtRp31757
(dp31758
g13
Nsg14
Nsg15
V1:10000
p31759
sbNg8
(g9
g10
NtRp31760
(dp31761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538032 (PS) (Date: 2006/07/20)
p31762
sbg8
(g9
g10
NtRp31763
(dp31764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57039bb1-090a-4102-9730-94378a7c40f9
p31765
sbg8
(g9
g10
NtRp31766
(dp31767
g13
Nsg14
g74
sg15
V2006
p31768
sbg8
(g9
g10
NtRp31769
(dp31770
g13
Nsg14
g74
sg15
V2006
p31771
sbg8
(g9
g10
NtRp31772
(dp31773
g13
Nsg14
Nsg15
VFALSE
p31774
sbg8
(g9
g10
NtRp31775
(dp31776
g13
Nsg14
Nsg15
VFlorence|Italy|Land use
p31777
sbg8
(g9
g10
NtRp31778
(dp31779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31780
sbg8
(g9
g10
NtRp31781
(dp31782
g13
Nsg14
Nsg15
VFALSE
p31783
sbNg8
(g9
g10
NtRp31784
(dp31785
g13
Nsg14
Nsg15
VFALSE
p31786
sbNNNNNNNg8
(g9
g10
NtRp31787
(dp31788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31789
(dp31790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31791
(dp31792
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it007l_firenze_2006
p31793
sbNg8
(g9
g10
NtRp31794
(dp31795
g13
Nsg14
Nsg15
Vobsolete
p31796
sbtp31797
a(g8
(g9
g10
NtRp31798
(dp31799
g13
Nsg14
Nsg15
V9bfe20f0-aff1-44c7-b160-47f230ed1cef
p31800
sbNg8
(g9
g10
NtRp31801
(dp31802
g13
Nsg14
Nsg15
VUrban Atlas - France - Marseille
p31803
sbNNNNNg8
(g9
g10
NtRp31804
(dp31805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31806
sbg8
(g23
g10
NtRp31807
(dp31808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31809
sbNg8
(g9
g10
NtRp31810
(dp31811
g13
Nsg14
Nsg15
VFALSE
p31812
sbNNNg8
(g9
g10
NtRp31813
(dp31814
g13
Nsg14
Nsg15
VFALSE
p31815
sbNNg8
(g9
g10
NtRp31816
(dp31817
g13
Nsg14
Nsg15
VFALSE
p31818
sbNNg8
(g9
g10
NtRp31819
(dp31820
g13
Nsg14
Nsg15
VFALSE
p31821
sbNg8
(g9
g10
NtRp31822
(dp31823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9bfe20f0-aff1-44c7-b160-47f230ed1cef.png
p31824
sbNg8
(g9
g10
NtRp31825
(dp31826
g13
Nsg14
Nsg15
V2019-06-04
p31827
sbNNg8
(g9
g10
NtRp31828
(dp31829
g13
Nsg14
Nsg15
Vland use|urban area
p31830
sbg8
(g9
g10
NtRp31831
(dp31832
g13
Nsg14
Nsg15
Vvector
p31833
sbg8
(g9
g10
NtRp31834
(dp31835
g13
Nsg14
Nsg15
VSHP
p31836
sbNg8
(g9
g10
NtRp31837
(dp31838
g13
Nsg14
Nsg15
V1:10000
p31839
sbNg8
(g9
g10
NtRp31840
(dp31841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070315_110240_DLR_6059_PREU (XS) (Date: 2007/03/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070312_103924_DLR_6015_PREU (P) (Date: 2007/03/12) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070728_103918_DLR_8028_PREU (P) (Date: 2207/07/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070728_103923_DLR_8028_PREU (P) (Date: 2007/07/28)
p31842
sbg8
(g9
g10
NtRp31843
(dp31844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9bfe20f0-aff1-44c7-b160-47f230ed1cef
p31845
sbg8
(g9
g10
NtRp31846
(dp31847
g13
Nsg14
g74
sg15
V2007
p31848
sbg8
(g9
g10
NtRp31849
(dp31850
g13
Nsg14
g74
sg15
V2207
p31851
sbg8
(g9
g10
NtRp31852
(dp31853
g13
Nsg14
Nsg15
VTRUE
p31854
sbg8
(g9
g10
NtRp31855
(dp31856
g13
Nsg14
Nsg15
VFrance|Land use|Marseille
p31857
sbg8
(g9
g10
NtRp31858
(dp31859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31860
sbg8
(g9
g10
NtRp31861
(dp31862
g13
Nsg14
Nsg15
VFALSE
p31863
sbNg8
(g9
g10
NtRp31864
(dp31865
g13
Nsg14
Nsg15
VFALSE
p31866
sbNNNNNNNg8
(g9
g10
NtRp31867
(dp31868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31869
(dp31870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31871
(dp31872
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr203c_marseille_2007-2207
p31873
sbNg8
(g9
g10
NtRp31874
(dp31875
g13
Nsg14
Nsg15
Vobsolete
p31876
sbtp31877
a(g8
(g9
g10
NtRp31878
(dp31879
g13
Nsg14
Nsg15
V0c54b5b0-757a-4bc7-8f17-683d9630a894
p31880
sbNg8
(g9
g10
NtRp31881
(dp31882
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Târgu Mure\u015f
p31883
sbNNNNNg8
(g9
g10
NtRp31884
(dp31885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31886
sbg8
(g23
g10
NtRp31887
(dp31888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31889
sbNg8
(g9
g10
NtRp31890
(dp31891
g13
Nsg14
Nsg15
VFALSE
p31892
sbNNNg8
(g9
g10
NtRp31893
(dp31894
g13
Nsg14
Nsg15
VFALSE
p31895
sbNNg8
(g9
g10
NtRp31896
(dp31897
g13
Nsg14
Nsg15
VFALSE
p31898
sbNNg8
(g9
g10
NtRp31899
(dp31900
g13
Nsg14
Nsg15
VFALSE
p31901
sbNg8
(g9
g10
NtRp31902
(dp31903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c54b5b0-757a-4bc7-8f17-683d9630a894.png
p31904
sbNg8
(g9
g10
NtRp31905
(dp31906
g13
Nsg14
Nsg15
V2019-06-04
p31907
sbNNg8
(g9
g10
NtRp31908
(dp31909
g13
Nsg14
Nsg15
Vland use|urban area
p31910
sbg8
(g9
g10
NtRp31911
(dp31912
g13
Nsg14
Nsg15
Vvector
p31913
sbg8
(g9
g10
NtRp31914
(dp31915
g13
Nsg14
Nsg15
VSHP
p31916
sbNg8
(g9
g10
NtRp31917
(dp31918
g13
Nsg14
Nsg15
V1:10000
p31919
sbNg8
(g9
g10
NtRp31920
(dp31921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50872560604300940171B0 (PS) (Date: 2006/04/30)
p31922
sbg8
(g9
g10
NtRp31923
(dp31924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c54b5b0-757a-4bc7-8f17-683d9630a894
p31925
sbg8
(g9
g10
NtRp31926
(dp31927
g13
Nsg14
g74
sg15
V2006
p31928
sbg8
(g9
g10
NtRp31929
(dp31930
g13
Nsg14
g74
sg15
V2006
p31931
sbg8
(g9
g10
NtRp31932
(dp31933
g13
Nsg14
Nsg15
VFALSE
p31934
sbg8
(g9
g10
NtRp31935
(dp31936
g13
Nsg14
Nsg15
VLand use|Romania|Târgu Mure\u015f
p31937
sbg8
(g9
g10
NtRp31938
(dp31939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p31940
sbg8
(g9
g10
NtRp31941
(dp31942
g13
Nsg14
Nsg15
VFALSE
p31943
sbNg8
(g9
g10
NtRp31944
(dp31945
g13
Nsg14
Nsg15
VFALSE
p31946
sbNNNNNNNg8
(g9
g10
NtRp31947
(dp31948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp31949
(dp31950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp31951
(dp31952
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro010l_targu_mures_2006
p31953
sbNg8
(g9
g10
NtRp31954
(dp31955
g13
Nsg14
Nsg15
Vobsolete
p31956
sbtp31957
a(g8
(g9
g10
NtRp31958
(dp31959
g13
Nsg14
Nsg15
V6c4bcbda-3c00-43b3-b974-7cc9273f7b68
p31960
sbNg8
(g9
g10
NtRp31961
(dp31962
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Catanzaro
p31963
sbNNNNNg8
(g9
g10
NtRp31964
(dp31965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p31966
sbg8
(g23
g10
NtRp31967
(dp31968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p31969
sbNg8
(g9
g10
NtRp31970
(dp31971
g13
Nsg14
Nsg15
VFALSE
p31972
sbNNNg8
(g9
g10
NtRp31973
(dp31974
g13
Nsg14
Nsg15
VFALSE
p31975
sbNNg8
(g9
g10
NtRp31976
(dp31977
g13
Nsg14
Nsg15
VFALSE
p31978
sbNNg8
(g9
g10
NtRp31979
(dp31980
g13
Nsg14
Nsg15
VFALSE
p31981
sbNg8
(g9
g10
NtRp31982
(dp31983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c4bcbda-3c00-43b3-b974-7cc9273f7b68.png
p31984
sbNg8
(g9
g10
NtRp31985
(dp31986
g13
Nsg14
Nsg15
V2019-06-04
p31987
sbNNg8
(g9
g10
NtRp31988
(dp31989
g13
Nsg14
Nsg15
Vland use|urban area
p31990
sbg8
(g9
g10
NtRp31991
(dp31992
g13
Nsg14
Nsg15
Vvector
p31993
sbg8
(g9
g10
NtRp31994
(dp31995
g13
Nsg14
Nsg15
VSHP
p31996
sbNg8
(g9
g10
NtRp31997
(dp31998
g13
Nsg14
Nsg15
V1:10000
p31999
sbNg8
(g9
g10
NtRp32000
(dp32001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50762710507180944081B1 (PS) (Date: 2005/07/18) \u000a                      * Spot 5 2,50 m - 50762720505110953002B0 (PS) (Date: 2005/05/11)
p32002
sbg8
(g9
g10
NtRp32003
(dp32004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c4bcbda-3c00-43b3-b974-7cc9273f7b68
p32005
sbg8
(g9
g10
NtRp32006
(dp32007
g13
Nsg14
g74
sg15
V2005
p32008
sbg8
(g9
g10
NtRp32009
(dp32010
g13
Nsg14
g74
sg15
V2005
p32011
sbg8
(g9
g10
NtRp32012
(dp32013
g13
Nsg14
Nsg15
VFALSE
p32014
sbg8
(g9
g10
NtRp32015
(dp32016
g13
Nsg14
Nsg15
VCatanzaro|Italy|Land use
p32017
sbg8
(g9
g10
NtRp32018
(dp32019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32020
sbg8
(g9
g10
NtRp32021
(dp32022
g13
Nsg14
Nsg15
VFALSE
p32023
sbNg8
(g9
g10
NtRp32024
(dp32025
g13
Nsg14
Nsg15
VFALSE
p32026
sbNNNNNNNg8
(g9
g10
NtRp32027
(dp32028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32029
(dp32030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32031
(dp32032
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it024l_catanzaro_2005
p32033
sbNg8
(g9
g10
NtRp32034
(dp32035
g13
Nsg14
Nsg15
Vobsolete
p32036
sbtp32037
a(g8
(g9
g10
NtRp32038
(dp32039
g13
Nsg14
Nsg15
V5d5378f6-14be-490d-a923-093f0aa1fcd9
p32040
sbNg8
(g9
g10
NtRp32041
(dp32042
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Trieste
p32043
sbNNNNNg8
(g9
g10
NtRp32044
(dp32045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32046
sbg8
(g23
g10
NtRp32047
(dp32048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32049
sbNg8
(g9
g10
NtRp32050
(dp32051
g13
Nsg14
Nsg15
VFALSE
p32052
sbNNNg8
(g9
g10
NtRp32053
(dp32054
g13
Nsg14
Nsg15
VFALSE
p32055
sbNNg8
(g9
g10
NtRp32056
(dp32057
g13
Nsg14
Nsg15
VFALSE
p32058
sbNNg8
(g9
g10
NtRp32059
(dp32060
g13
Nsg14
Nsg15
VFALSE
p32061
sbNg8
(g9
g10
NtRp32062
(dp32063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d5378f6-14be-490d-a923-093f0aa1fcd9.png
p32064
sbNg8
(g9
g10
NtRp32065
(dp32066
g13
Nsg14
Nsg15
V2019-06-04
p32067
sbNNg8
(g9
g10
NtRp32068
(dp32069
g13
Nsg14
Nsg15
Vland use|urban area
p32070
sbg8
(g9
g10
NtRp32071
(dp32072
g13
Nsg14
Nsg15
Vvector
p32073
sbg8
(g9
g10
NtRp32074
(dp32075
g13
Nsg14
Nsg15
VSHP
p32076
sbNg8
(g9
g10
NtRp32077
(dp32078
g13
Nsg14
Nsg15
V1:10000
p32079
sbNg8
(g9
g10
NtRp32080
(dp32081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00186393004 (PS) (Date: 2006/09/06)
p32082
sbg8
(g9
g10
NtRp32083
(dp32084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d5378f6-14be-490d-a923-093f0aa1fcd9
p32085
sbg8
(g9
g10
NtRp32086
(dp32087
g13
Nsg14
g74
sg15
V2006
p32088
sbg8
(g9
g10
NtRp32089
(dp32090
g13
Nsg14
g74
sg15
V2006
p32091
sbg8
(g9
g10
NtRp32092
(dp32093
g13
Nsg14
Nsg15
VFALSE
p32094
sbg8
(g9
g10
NtRp32095
(dp32096
g13
Nsg14
Nsg15
VItaly|Land use|Trieste
p32097
sbg8
(g9
g10
NtRp32098
(dp32099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32100
sbg8
(g9
g10
NtRp32101
(dp32102
g13
Nsg14
Nsg15
VFALSE
p32103
sbNg8
(g9
g10
NtRp32104
(dp32105
g13
Nsg14
Nsg15
VFALSE
p32106
sbNNNNNNNg8
(g9
g10
NtRp32107
(dp32108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32109
(dp32110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32111
(dp32112
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it015l_trieste_2006
p32113
sbNg8
(g9
g10
NtRp32114
(dp32115
g13
Nsg14
Nsg15
Vobsolete
p32116
sbtp32117
a(g8
(g9
g10
NtRp32118
(dp32119
g13
Nsg14
Nsg15
V9bdfe364-f8cf-4325-bd28-97f5bfe212fc
p32120
sbNg8
(g9
g10
NtRp32121
(dp32122
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Kavala (\u039a\u03b1\u03b2\u03ac\u03bb\u03b1)
p32123
sbNNNNNg8
(g9
g10
NtRp32124
(dp32125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32126
sbg8
(g23
g10
NtRp32127
(dp32128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32129
sbNg8
(g9
g10
NtRp32130
(dp32131
g13
Nsg14
Nsg15
VFALSE
p32132
sbNNNg8
(g9
g10
NtRp32133
(dp32134
g13
Nsg14
Nsg15
VFALSE
p32135
sbNNg8
(g9
g10
NtRp32136
(dp32137
g13
Nsg14
Nsg15
VFALSE
p32138
sbNNg8
(g9
g10
NtRp32139
(dp32140
g13
Nsg14
Nsg15
VFALSE
p32141
sbNg8
(g9
g10
NtRp32142
(dp32143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9bdfe364-f8cf-4325-bd28-97f5bfe212fc.png
p32144
sbNg8
(g9
g10
NtRp32145
(dp32146
g13
Nsg14
Nsg15
V2019-06-04
p32147
sbNNg8
(g9
g10
NtRp32148
(dp32149
g13
Nsg14
Nsg15
Vland use|urban area
p32150
sbg8
(g9
g10
NtRp32151
(dp32152
g13
Nsg14
Nsg15
Vvector
p32153
sbg8
(g9
g10
NtRp32154
(dp32155
g13
Nsg14
Nsg15
VSHP
p32156
sbNg8
(g9
g10
NtRp32157
(dp32158
g13
Nsg14
Nsg15
V1:10000
p32159
sbNg8
(g9
g10
NtRp32160
(dp32161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50912670608180926292B1 (PS) (Date: 2006/08/18) \u000a                      * Spot 5 2,50 m - 50912680607240907221B0 (PS) (Date: 2006/07/24)
p32162
sbg8
(g9
g10
NtRp32163
(dp32164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9bdfe364-f8cf-4325-bd28-97f5bfe212fc
p32165
sbg8
(g9
g10
NtRp32166
(dp32167
g13
Nsg14
g74
sg15
V2006
p32168
sbg8
(g9
g10
NtRp32169
(dp32170
g13
Nsg14
g74
sg15
V2006
p32171
sbg8
(g9
g10
NtRp32172
(dp32173
g13
Nsg14
Nsg15
VFALSE
p32174
sbg8
(g9
g10
NtRp32175
(dp32176
g13
Nsg14
Nsg15
VGreece|Kavala|Land use
p32177
sbg8
(g9
g10
NtRp32178
(dp32179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32180
sbg8
(g9
g10
NtRp32181
(dp32182
g13
Nsg14
Nsg15
VFALSE
p32183
sbNg8
(g9
g10
NtRp32184
(dp32185
g13
Nsg14
Nsg15
VFALSE
p32186
sbNNNNNNNg8
(g9
g10
NtRp32187
(dp32188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32189
(dp32190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32191
(dp32192
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-gr008l_kavala_2006
p32193
sbNg8
(g9
g10
NtRp32194
(dp32195
g13
Nsg14
Nsg15
Vobsolete
p32196
sbtp32197
a(g8
(g9
g10
NtRp32198
(dp32199
g13
Nsg14
Nsg15
V0602e44f-c6d2-4423-b859-94626017832b
p32200
sbNg8
(g9
g10
NtRp32201
(dp32202
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Palermo
p32203
sbNNNNNg8
(g9
g10
NtRp32204
(dp32205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32206
sbg8
(g23
g10
NtRp32207
(dp32208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32209
sbNg8
(g9
g10
NtRp32210
(dp32211
g13
Nsg14
Nsg15
VFALSE
p32212
sbNNNg8
(g9
g10
NtRp32213
(dp32214
g13
Nsg14
Nsg15
VFALSE
p32215
sbNNg8
(g9
g10
NtRp32216
(dp32217
g13
Nsg14
Nsg15
VFALSE
p32218
sbNNg8
(g9
g10
NtRp32219
(dp32220
g13
Nsg14
Nsg15
VFALSE
p32221
sbNg8
(g9
g10
NtRp32222
(dp32223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0602e44f-c6d2-4423-b859-94626017832b.png
p32224
sbNg8
(g9
g10
NtRp32225
(dp32226
g13
Nsg14
Nsg15
V2019-06-04
p32227
sbNNg8
(g9
g10
NtRp32228
(dp32229
g13
Nsg14
Nsg15
Vland use|urban area
p32230
sbg8
(g9
g10
NtRp32231
(dp32232
g13
Nsg14
Nsg15
Vvector
p32233
sbg8
(g9
g10
NtRp32234
(dp32235
g13
Nsg14
Nsg15
VSHP
p32236
sbNg8
(g9
g10
NtRp32237
(dp32238
g13
Nsg14
Nsg15
V1:10000
p32239
sbNg8
(g9
g10
NtRp32240
(dp32241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00183538012 (PS) (Date: 2005/08/27) \u000a                      * SPOT 5 2,50 m - 00183538013 (PS) (Date: 2005/08/27) \u000a                      * SPOT 5 2,50 m - 00183538027 (PS) (Date: 2005/10/29) \u000a                      * SPOT 5 2,50 m - 00183538051 (PS) (Date: 2006/10/28)
p32242
sbg8
(g9
g10
NtRp32243
(dp32244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0602e44f-c6d2-4423-b859-94626017832b
p32245
sbg8
(g9
g10
NtRp32246
(dp32247
g13
Nsg14
g74
sg15
V2005
p32248
sbg8
(g9
g10
NtRp32249
(dp32250
g13
Nsg14
g74
sg15
V2006
p32251
sbg8
(g9
g10
NtRp32252
(dp32253
g13
Nsg14
Nsg15
VTRUE
p32254
sbg8
(g9
g10
NtRp32255
(dp32256
g13
Nsg14
Nsg15
VItaly|Land use|Palermo
p32257
sbg8
(g9
g10
NtRp32258
(dp32259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32260
sbg8
(g9
g10
NtRp32261
(dp32262
g13
Nsg14
Nsg15
VFALSE
p32263
sbNg8
(g9
g10
NtRp32264
(dp32265
g13
Nsg14
Nsg15
VFALSE
p32266
sbNNNNNNNg8
(g9
g10
NtRp32267
(dp32268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32269
(dp32270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32271
(dp32272
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it005l_palermo_2005-2006
p32273
sbNg8
(g9
g10
NtRp32274
(dp32275
g13
Nsg14
Nsg15
Vobsolete
p32276
sbtp32277
a(g8
(g9
g10
NtRp32278
(dp32279
g13
Nsg14
Nsg15
Vd5914df6-bdb0-47da-8390-a75eaf340d26
p32280
sbNg8
(g9
g10
NtRp32281
(dp32282
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Bari
p32283
sbNNNNNg8
(g9
g10
NtRp32284
(dp32285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32286
sbg8
(g23
g10
NtRp32287
(dp32288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32289
sbNg8
(g9
g10
NtRp32290
(dp32291
g13
Nsg14
Nsg15
VFALSE
p32292
sbNNNg8
(g9
g10
NtRp32293
(dp32294
g13
Nsg14
Nsg15
VFALSE
p32295
sbNNg8
(g9
g10
NtRp32296
(dp32297
g13
Nsg14
Nsg15
VFALSE
p32298
sbNNg8
(g9
g10
NtRp32299
(dp32300
g13
Nsg14
Nsg15
VFALSE
p32301
sbNg8
(g9
g10
NtRp32302
(dp32303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d5914df6-bdb0-47da-8390-a75eaf340d26.png
p32304
sbNg8
(g9
g10
NtRp32305
(dp32306
g13
Nsg14
Nsg15
V2019-06-04
p32307
sbNNg8
(g9
g10
NtRp32308
(dp32309
g13
Nsg14
Nsg15
Vland use|urban area
p32310
sbg8
(g9
g10
NtRp32311
(dp32312
g13
Nsg14
Nsg15
Vvector
p32313
sbg8
(g9
g10
NtRp32314
(dp32315
g13
Nsg14
Nsg15
VSHP
p32316
sbNg8
(g9
g10
NtRp32317
(dp32318
g13
Nsg14
Nsg15
V1:10000
p32319
sbNg8
(g9
g10
NtRp32320
(dp32321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070520_095041_DLR_7021_PRIT (XS) (Date: 2007/05/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070520_095041_DLR_7021_PRIT (P) (Date: 2007/05/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070520_095045_DLR_7021_PRIT(P) (Date: 2007/05/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070705_095036_DLR_7692_PRIT (P) (Date: 2007/05/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070705_095040_DLR_7692_PRIT (P) (Date: 2007/05/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090611_095352_DLR_18005_PRUTM (P) (Date: 2009/06/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090611_095356_DLR_18005_PRUTM (P) (Date: 2009/06/11)
p32322
sbg8
(g9
g10
NtRp32323
(dp32324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d5914df6-bdb0-47da-8390-a75eaf340d26
p32325
sbg8
(g9
g10
NtRp32326
(dp32327
g13
Nsg14
g74
sg15
V2007
p32328
sbg8
(g9
g10
NtRp32329
(dp32330
g13
Nsg14
g74
sg15
V2009
p32331
sbg8
(g9
g10
NtRp32332
(dp32333
g13
Nsg14
Nsg15
VTRUE
p32334
sbg8
(g9
g10
NtRp32335
(dp32336
g13
Nsg14
Nsg15
VBari|Italy|Land use
p32337
sbg8
(g9
g10
NtRp32338
(dp32339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32340
sbg8
(g9
g10
NtRp32341
(dp32342
g13
Nsg14
Nsg15
VFALSE
p32343
sbNg8
(g9
g10
NtRp32344
(dp32345
g13
Nsg14
Nsg15
VFALSE
p32346
sbNNNNNNNg8
(g9
g10
NtRp32347
(dp32348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32349
(dp32350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32351
(dp32352
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it008l_bari_2007-2009
p32353
sbNg8
(g9
g10
NtRp32354
(dp32355
g13
Nsg14
Nsg15
Vobsolete
p32356
sbtp32357
a(g8
(g9
g10
NtRp32358
(dp32359
g13
Nsg14
Nsg15
V61183969-e6e9-4506-ac11-3acc725e24ea
p32360
sbNg8
(g9
g10
NtRp32361
(dp32362
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Düsseldorf
p32363
sbNNNNNg8
(g9
g10
NtRp32364
(dp32365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32366
sbg8
(g23
g10
NtRp32367
(dp32368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32369
sbNg8
(g9
g10
NtRp32370
(dp32371
g13
Nsg14
Nsg15
VFALSE
p32372
sbNNNg8
(g9
g10
NtRp32373
(dp32374
g13
Nsg14
Nsg15
VFALSE
p32375
sbNNg8
(g9
g10
NtRp32376
(dp32377
g13
Nsg14
Nsg15
VFALSE
p32378
sbNNg8
(g9
g10
NtRp32379
(dp32380
g13
Nsg14
Nsg15
VFALSE
p32381
sbNg8
(g9
g10
NtRp32382
(dp32383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/61183969-e6e9-4506-ac11-3acc725e24ea.png
p32384
sbNg8
(g9
g10
NtRp32385
(dp32386
g13
Nsg14
Nsg15
V2019-06-04
p32387
sbNNg8
(g9
g10
NtRp32388
(dp32389
g13
Nsg14
Nsg15
Vland use|urban area
p32390
sbg8
(g9
g10
NtRp32391
(dp32392
g13
Nsg14
Nsg15
Vvector
p32393
sbg8
(g9
g10
NtRp32394
(dp32395
g13
Nsg14
Nsg15
VSHP
p32396
sbNg8
(g9
g10
NtRp32397
(dp32398
g13
Nsg14
Nsg15
V1:10000
p32399
sbNg8
(g9
g10
NtRp32400
(dp32401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50462460610161030181B1 (PS) (Date: 2006/10/16) \u000a                      * Spot 5 2,50 m - 50482460607141037521B0 (PS) (Date: 2006/07/14)
p32402
sbg8
(g9
g10
NtRp32403
(dp32404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61183969-e6e9-4506-ac11-3acc725e24ea
p32405
sbg8
(g9
g10
NtRp32406
(dp32407
g13
Nsg14
g74
sg15
V2006
p32408
sbg8
(g9
g10
NtRp32409
(dp32410
g13
Nsg14
g74
sg15
V2006
p32411
sbg8
(g9
g10
NtRp32412
(dp32413
g13
Nsg14
Nsg15
VFALSE
p32414
sbg8
(g9
g10
NtRp32415
(dp32416
g13
Nsg14
Nsg15
VDüsseldorf|Germany|Land use
p32417
sbg8
(g9
g10
NtRp32418
(dp32419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32420
sbg8
(g9
g10
NtRp32421
(dp32422
g13
Nsg14
Nsg15
VFALSE
p32423
sbNg8
(g9
g10
NtRp32424
(dp32425
g13
Nsg14
Nsg15
VFALSE
p32426
sbNNNNNNNg8
(g9
g10
NtRp32427
(dp32428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32429
(dp32430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32431
(dp32432
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de011l_dusseldorf_2006
p32433
sbNg8
(g9
g10
NtRp32434
(dp32435
g13
Nsg14
Nsg15
Vobsolete
p32436
sbtp32437
a(g8
(g9
g10
NtRp32438
(dp32439
g13
Nsg14
Nsg15
V226670f4-0acc-45bb-a3f0-b315dfe2973f
p32440
sbNg8
(g9
g10
NtRp32441
(dp32442
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Cremona
p32443
sbNNNNNg8
(g9
g10
NtRp32444
(dp32445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32446
sbg8
(g23
g10
NtRp32447
(dp32448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32449
sbNg8
(g9
g10
NtRp32450
(dp32451
g13
Nsg14
Nsg15
VFALSE
p32452
sbNNNg8
(g9
g10
NtRp32453
(dp32454
g13
Nsg14
Nsg15
VFALSE
p32455
sbNNg8
(g9
g10
NtRp32456
(dp32457
g13
Nsg14
Nsg15
VFALSE
p32458
sbNNg8
(g9
g10
NtRp32459
(dp32460
g13
Nsg14
Nsg15
VFALSE
p32461
sbNg8
(g9
g10
NtRp32462
(dp32463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/226670f4-0acc-45bb-a3f0-b315dfe2973f.png
p32464
sbNg8
(g9
g10
NtRp32465
(dp32466
g13
Nsg14
Nsg15
V2019-06-04
p32467
sbNNg8
(g9
g10
NtRp32468
(dp32469
g13
Nsg14
Nsg15
Vland use|urban area
p32470
sbg8
(g9
g10
NtRp32471
(dp32472
g13
Nsg14
Nsg15
Vvector
p32473
sbg8
(g9
g10
NtRp32474
(dp32475
g13
Nsg14
Nsg15
VSHP
p32476
sbNg8
(g9
g10
NtRp32477
(dp32478
g13
Nsg14
Nsg15
V1:10000
p32479
sbNg8
(g9
g10
NtRp32480
(dp32481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50582590505261002591B0 (PS) (Date: 2005/05/26)
p32482
sbg8
(g9
g10
NtRp32483
(dp32484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/226670f4-0acc-45bb-a3f0-b315dfe2973f
p32485
sbg8
(g9
g10
NtRp32486
(dp32487
g13
Nsg14
g74
sg15
V2005
p32488
sbg8
(g9
g10
NtRp32489
(dp32490
g13
Nsg14
g74
sg15
V2005
p32491
sbg8
(g9
g10
NtRp32492
(dp32493
g13
Nsg14
Nsg15
VFALSE
p32494
sbg8
(g9
g10
NtRp32495
(dp32496
g13
Nsg14
Nsg15
VCremona|Italy|Land use
p32497
sbg8
(g9
g10
NtRp32498
(dp32499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32500
sbg8
(g9
g10
NtRp32501
(dp32502
g13
Nsg14
Nsg15
VFALSE
p32503
sbNg8
(g9
g10
NtRp32504
(dp32505
g13
Nsg14
Nsg15
VFALSE
p32506
sbNNNNNNNg8
(g9
g10
NtRp32507
(dp32508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32509
(dp32510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32511
(dp32512
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it013l_cremona_2005
p32513
sbNg8
(g9
g10
NtRp32514
(dp32515
g13
Nsg14
Nsg15
Vobsolete
p32516
sbtp32517
a(g8
(g9
g10
NtRp32518
(dp32519
g13
Nsg14
Nsg15
V848d5e35-4f07-4c39-a25e-03f2bef63d78
p32520
sbNg8
(g9
g10
NtRp32521
(dp32522
g13
Nsg14
Nsg15
VUrban Atlas - Slovenia - Ljubljana
p32523
sbNNNNNg8
(g9
g10
NtRp32524
(dp32525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32526
sbg8
(g23
g10
NtRp32527
(dp32528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32529
sbNg8
(g9
g10
NtRp32530
(dp32531
g13
Nsg14
Nsg15
VFALSE
p32532
sbNNNg8
(g9
g10
NtRp32533
(dp32534
g13
Nsg14
Nsg15
VFALSE
p32535
sbNNg8
(g9
g10
NtRp32536
(dp32537
g13
Nsg14
Nsg15
VFALSE
p32538
sbNNg8
(g9
g10
NtRp32539
(dp32540
g13
Nsg14
Nsg15
VFALSE
p32541
sbNg8
(g9
g10
NtRp32542
(dp32543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/848d5e35-4f07-4c39-a25e-03f2bef63d78.png
p32544
sbNg8
(g9
g10
NtRp32545
(dp32546
g13
Nsg14
Nsg15
V2019-06-04
p32547
sbNNg8
(g9
g10
NtRp32548
(dp32549
g13
Nsg14
Nsg15
Vland use|urban area
p32550
sbg8
(g9
g10
NtRp32551
(dp32552
g13
Nsg14
Nsg15
Vvector
p32553
sbg8
(g9
g10
NtRp32554
(dp32555
g13
Nsg14
Nsg15
VSHP
p32556
sbNg8
(g9
g10
NtRp32557
(dp32558
g13
Nsg14
Nsg15
V1:10000
p32559
sbNg8
(g9
g10
NtRp32560
(dp32561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784020 (XS) (Date: 2006/10/27) \u000a                      * Spot 5 2,50 m - 00182784021 (XS) (Date: 2007/08/05) \u000a                      * Spot 5 2,50 m - 00182784023 (XS) (Date: 2007/10/01) \u000a                      * Spot 5 2,50 m - 00182784024 (XS) (Date: 2007/07/19) \u000a                      * Spot 5 2,50 m - 00182793019 (P) (Date: 2006/10/27) \u000a                      * Spot 5 2,50 m - 00182793020 (P) (Date: 2007/08/05) \u000a                      * Spot 5 2,50 m - 00182793022 (P) (Date: 2007/10/01) \u000a                      * Spot 5 2,50 m - 00182793023 (P) (Date: 2007/07/19)
p32562
sbg8
(g9
g10
NtRp32563
(dp32564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/848d5e35-4f07-4c39-a25e-03f2bef63d78
p32565
sbg8
(g9
g10
NtRp32566
(dp32567
g13
Nsg14
g74
sg15
V2006
p32568
sbg8
(g9
g10
NtRp32569
(dp32570
g13
Nsg14
g74
sg15
V2007
p32571
sbg8
(g9
g10
NtRp32572
(dp32573
g13
Nsg14
Nsg15
VTRUE
p32574
sbg8
(g9
g10
NtRp32575
(dp32576
g13
Nsg14
Nsg15
VLand use|Ljubljana|Slovenia
p32577
sbg8
(g9
g10
NtRp32578
(dp32579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32580
sbg8
(g9
g10
NtRp32581
(dp32582
g13
Nsg14
Nsg15
VFALSE
p32583
sbNg8
(g9
g10
NtRp32584
(dp32585
g13
Nsg14
Nsg15
VFALSE
p32586
sbNNNNNNNg8
(g9
g10
NtRp32587
(dp32588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32589
(dp32590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32591
(dp32592
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-si001l_ljubljana_2006-2007
p32593
sbNg8
(g9
g10
NtRp32594
(dp32595
g13
Nsg14
Nsg15
Vobsolete
p32596
sbtp32597
a(g8
(g9
g10
NtRp32598
(dp32599
g13
Nsg14
Nsg15
Vc5936456-99bb-4b68-afa8-4ddcfd98cc21
p32600
sbNg8
(g9
g10
NtRp32601
(dp32602
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Newcastle upon Tyne
p32603
sbNNNNNg8
(g9
g10
NtRp32604
(dp32605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32606
sbg8
(g23
g10
NtRp32607
(dp32608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32609
sbNg8
(g9
g10
NtRp32610
(dp32611
g13
Nsg14
Nsg15
VFALSE
p32612
sbNNNg8
(g9
g10
NtRp32613
(dp32614
g13
Nsg14
Nsg15
VFALSE
p32615
sbNNg8
(g9
g10
NtRp32616
(dp32617
g13
Nsg14
Nsg15
VFALSE
p32618
sbNNg8
(g9
g10
NtRp32619
(dp32620
g13
Nsg14
Nsg15
VFALSE
p32621
sbNg8
(g9
g10
NtRp32622
(dp32623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c5936456-99bb-4b68-afa8-4ddcfd98cc21.png
p32624
sbNg8
(g9
g10
NtRp32625
(dp32626
g13
Nsg14
Nsg15
V2019-06-04
p32627
sbNNg8
(g9
g10
NtRp32628
(dp32629
g13
Nsg14
Nsg15
Vland use|urban area
p32630
sbg8
(g9
g10
NtRp32631
(dp32632
g13
Nsg14
Nsg15
Vvector
p32633
sbg8
(g9
g10
NtRp32634
(dp32635
g13
Nsg14
Nsg15
VSHP
p32636
sbNg8
(g9
g10
NtRp32637
(dp32638
g13
Nsg14
Nsg15
V1:10000
p32639
sbNg8
(g9
g10
NtRp32640
(dp32641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50222370611091108021B1 (PS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 50252380609171127331B0 (PS) (Date: 2006/09/17) \u000a                      * Spot 5 2,50 m - 50252380610231135131B0 (PS) (Date: 2006/10/23) \u000a                      * Spot 5 2,50 m - 50252380910041121122B0 (PS) (Date: 2009/10/04) \u000a                      * RapidEye 5 m - 2009-04-20T121022_RE4_3A-NAC_5662947_105753 (XS) (Date: 2009/04/20) \u000a                      * RapidEye 5 m - 2009-04-20T121023_RE4_3A-NAC_5662946_105753 (XS) (Date: 2009/04/20) \u000a                      * RapidEye 5 m - 2009-04-20T121026_RE4_3A-NAC_5662948_105753 (XS) (Date: 2009/04/20) \u000a                      * RapidEye 5 m - 2009-04-20T121027_RE4_3A-NAC_5662949_105753 (XS) (Date: 2009/04/20) \u000a                      * RapidEye 5 m - 2009-05-29T120931_RE5_3A-NAC_5663795_105755 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T120932_RE5_3A-NAC_5664299_105753 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T120934_RE5_3A-NAC_5663792_105755 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T120935_RE5_3A-NAC_5663742_105755 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T120937_RE5_3A-NAC_5663793_105755 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-05-29T120938_RE5_3A-NAC_5663794_105755 (XS) (Date: 2009/05/29) \u000a                      * RapidEye 5 m - 2009-09-26T121035_RE1_3A-NAC_5662951_105755 (XS) (Date: 2009/09/26) \u000a                      * RapidEye 5 m - 2009-09-26T121042_RE1_3A-NAC_5662952_105755 (XS) (Date: 2009/09/26) \u000a                      * RapidEye 5 m - 2009-09-26T121043_RE1_3A-NAC_5662869_105753 (XS) (Date: 2009/09/26) \u000a                      * RapidEye 5 m - 2009-09-26T121045_RE1_3A-NAC_5662950_105755 (XS) (Date: 2009/09/26) \u000a                      * RapidEye 5 m - 2010-03-19T120019_RE4_3A-NAC_5663603_105755 (XS) (Date: 2010/03/19) \u000a                      * RapidEye 5 m - 2010-06-04T121608_RE4_3A-NAC_5663741_105755 (XS) (Date: 2010/06/04) \u000a                      * RapidEye 5 m - 2010-08-15T120825_RE5_3A-NAC_5663603_105755 (XS) (Date: 2010/08/15)
p32642
sbg8
(g9
g10
NtRp32643
(dp32644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5936456-99bb-4b68-afa8-4ddcfd98cc21
p32645
sbg8
(g9
g10
NtRp32646
(dp32647
g13
Nsg14
g74
sg15
V2006
p32648
sbg8
(g9
g10
NtRp32649
(dp32650
g13
Nsg14
g74
sg15
V2010
p32651
sbg8
(g9
g10
NtRp32652
(dp32653
g13
Nsg14
Nsg15
VTRUE
p32654
sbg8
(g9
g10
NtRp32655
(dp32656
g13
Nsg14
Nsg15
VLand use|Newcastle upon Tyne|United Kingdom
p32657
sbg8
(g9
g10
NtRp32658
(dp32659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32660
sbg8
(g9
g10
NtRp32661
(dp32662
g13
Nsg14
Nsg15
VFALSE
p32663
sbNg8
(g9
g10
NtRp32664
(dp32665
g13
Nsg14
Nsg15
VFALSE
p32666
sbNNNNNNNg8
(g9
g10
NtRp32667
(dp32668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32669
(dp32670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32671
(dp32672
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk013l_newcastle_upon_tyne_2006-2010
p32673
sbNg8
(g9
g10
NtRp32674
(dp32675
g13
Nsg14
Nsg15
Vobsolete
p32676
sbtp32677
a(g8
(g9
g10
NtRp32678
(dp32679
g13
Nsg14
Nsg15
V42e2dfe1-5017-4056-a1b0-4606dd78cac5
p32680
sbNg8
(g9
g10
NtRp32681
(dp32682
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Kraków
p32683
sbNNNNNg8
(g9
g10
NtRp32684
(dp32685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32686
sbg8
(g23
g10
NtRp32687
(dp32688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32689
sbNg8
(g9
g10
NtRp32690
(dp32691
g13
Nsg14
Nsg15
VFALSE
p32692
sbNNNg8
(g9
g10
NtRp32693
(dp32694
g13
Nsg14
Nsg15
VFALSE
p32695
sbNNg8
(g9
g10
NtRp32696
(dp32697
g13
Nsg14
Nsg15
VFALSE
p32698
sbNNg8
(g9
g10
NtRp32699
(dp32700
g13
Nsg14
Nsg15
VFALSE
p32701
sbNg8
(g9
g10
NtRp32702
(dp32703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/42e2dfe1-5017-4056-a1b0-4606dd78cac5.png
p32704
sbNg8
(g9
g10
NtRp32705
(dp32706
g13
Nsg14
Nsg15
V2019-06-04
p32707
sbNNg8
(g9
g10
NtRp32708
(dp32709
g13
Nsg14
Nsg15
Vland use|urban area
p32710
sbg8
(g9
g10
NtRp32711
(dp32712
g13
Nsg14
Nsg15
Vvector
p32713
sbg8
(g9
g10
NtRp32714
(dp32715
g13
Nsg14
Nsg15
VSHP
p32716
sbNg8
(g9
g10
NtRp32717
(dp32718
g13
Nsg14
Nsg15
V1:10000
p32719
sbNg8
(g9
g10
NtRp32720
(dp32721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,5 m - 00185800027 (PS) (Date: 2006/07/17) \u000a                      * SPOT 5 2,5 m - 00185800028 (PS) (Date: 2007/08/06) \u000a                      * SPOT 5 2,5 m - 00185800030 (PS) (Date: 2008/08/20) \u000a                      * SPOT 5 2,5 m - 00185800032 (PS) (Date: 2007/10/16)
p32722
sbg8
(g9
g10
NtRp32723
(dp32724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42e2dfe1-5017-4056-a1b0-4606dd78cac5
p32725
sbg8
(g9
g10
NtRp32726
(dp32727
g13
Nsg14
g74
sg15
V2006
p32728
sbg8
(g9
g10
NtRp32729
(dp32730
g13
Nsg14
g74
sg15
V2008
p32731
sbg8
(g9
g10
NtRp32732
(dp32733
g13
Nsg14
Nsg15
VTRUE
p32734
sbg8
(g9
g10
NtRp32735
(dp32736
g13
Nsg14
Nsg15
VKraków|Land use|Poland
p32737
sbg8
(g9
g10
NtRp32738
(dp32739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32740
sbg8
(g9
g10
NtRp32741
(dp32742
g13
Nsg14
Nsg15
VFALSE
p32743
sbNg8
(g9
g10
NtRp32744
(dp32745
g13
Nsg14
Nsg15
VFALSE
p32746
sbNNNNNNNg8
(g9
g10
NtRp32747
(dp32748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32749
(dp32750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32751
(dp32752
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl003l_krakow_2006-2008
p32753
sbNg8
(g9
g10
NtRp32754
(dp32755
g13
Nsg14
Nsg15
Vobsolete
p32756
sbtp32757
a(g8
(g9
g10
NtRp32758
(dp32759
g13
Nsg14
Nsg15
V39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3
p32760
sbNg8
(g9
g10
NtRp32761
(dp32762
g13
Nsg14
Nsg15
VUrban Atlas - Finland - Helsinki
p32763
sbNNNNNg8
(g9
g10
NtRp32764
(dp32765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32766
sbg8
(g23
g10
NtRp32767
(dp32768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32769
sbNg8
(g9
g10
NtRp32770
(dp32771
g13
Nsg14
Nsg15
VFALSE
p32772
sbNNNg8
(g9
g10
NtRp32773
(dp32774
g13
Nsg14
Nsg15
VFALSE
p32775
sbNNg8
(g9
g10
NtRp32776
(dp32777
g13
Nsg14
Nsg15
VFALSE
p32778
sbNNg8
(g9
g10
NtRp32779
(dp32780
g13
Nsg14
Nsg15
VFALSE
p32781
sbNg8
(g9
g10
NtRp32782
(dp32783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3.png
p32784
sbNg8
(g9
g10
NtRp32785
(dp32786
g13
Nsg14
Nsg15
V2019-06-04
p32787
sbNNg8
(g9
g10
NtRp32788
(dp32789
g13
Nsg14
Nsg15
Vland use|urban area
p32790
sbg8
(g9
g10
NtRp32791
(dp32792
g13
Nsg14
Nsg15
Vvector
p32793
sbg8
(g9
g10
NtRp32794
(dp32795
g13
Nsg14
Nsg15
VSHP
p32796
sbNg8
(g9
g10
NtRp32797
(dp32798
g13
Nsg14
Nsg15
V1:10000
p32799
sbNg8
(g9
g10
NtRp32800
(dp32801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * AL_AV2_X_20070404_094520_DLR_6350_PRUTM (XS) - AL_AV2_X_20090628_095039_DLR_18253_PRUTM (XS) (Date: 2009/06/28) \u000a                      * AL_AV2_X_20070404_094520_DLR_6350_PRUTM (XS) - AL_AV2_X_20090628_095047_DLR_18253_PRUTM (XS) (Date: 2009/06/28) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_094926_DLR_7517_PRUTM (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_094930_DLR_7517_PRUTM (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_094934_DLR_7517_PRUTM (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070623_094939_DLR_7517_PRUTM (P) (Date: 2007/06/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070705_094516_DLR_7692_PRUTM (P) (Date: 2007/07/05) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_094719_DLR_7940_PRUTM (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_094723_DLR_7940_PRUTM (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070722_094727_DLR_7940_PRUTM (P) (Date: 2007/07/22) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090409_094550_DLR_17086_PRUTM(P) (Date: 2009/04/09) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090426_094802_DLR_17334_PRUTM (P) (Date: 2009/04/09)
p32802
sbg8
(g9
g10
NtRp32803
(dp32804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3
p32805
sbg8
(g9
g10
NtRp32806
(dp32807
g13
Nsg14
g74
sg15
V2007
p32808
sbg8
(g9
g10
NtRp32809
(dp32810
g13
Nsg14
g74
sg15
V2009
p32811
sbg8
(g9
g10
NtRp32812
(dp32813
g13
Nsg14
Nsg15
VTRUE
p32814
sbg8
(g9
g10
NtRp32815
(dp32816
g13
Nsg14
Nsg15
VFinland|Helsinki|Land use
p32817
sbg8
(g9
g10
NtRp32818
(dp32819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32820
sbg8
(g9
g10
NtRp32821
(dp32822
g13
Nsg14
Nsg15
VFALSE
p32823
sbNg8
(g9
g10
NtRp32824
(dp32825
g13
Nsg14
Nsg15
VFALSE
p32826
sbNNNNNNNg8
(g9
g10
NtRp32827
(dp32828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32829
(dp32830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32831
(dp32832
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-fi001l_helsinki_2007-2009
p32833
sbNg8
(g9
g10
NtRp32834
(dp32835
g13
Nsg14
Nsg15
Vobsolete
p32836
sbtp32837
a(g8
(g9
g10
NtRp32838
(dp32839
g13
Nsg14
Nsg15
V71c47f78-27b6-4080-acd5-47b306b273d8
p32840
sbNg8
(g9
g10
NtRp32841
(dp32842
g13
Nsg14
Nsg15
VUrban Atlas - Bulgaria - Pleven (\u041f\u043b\u0435\u0432\u0435\u043d)
p32843
sbNNNNNg8
(g9
g10
NtRp32844
(dp32845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32846
sbg8
(g23
g10
NtRp32847
(dp32848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32849
sbNg8
(g9
g10
NtRp32850
(dp32851
g13
Nsg14
Nsg15
VFALSE
p32852
sbNNNg8
(g9
g10
NtRp32853
(dp32854
g13
Nsg14
Nsg15
VFALSE
p32855
sbNNg8
(g9
g10
NtRp32856
(dp32857
g13
Nsg14
Nsg15
VFALSE
p32858
sbNNg8
(g9
g10
NtRp32859
(dp32860
g13
Nsg14
Nsg15
VFALSE
p32861
sbNg8
(g9
g10
NtRp32862
(dp32863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/71c47f78-27b6-4080-acd5-47b306b273d8.png
p32864
sbNg8
(g9
g10
NtRp32865
(dp32866
g13
Nsg14
Nsg15
V2019-06-04
p32867
sbNNg8
(g9
g10
NtRp32868
(dp32869
g13
Nsg14
Nsg15
Vland use|urban area
p32870
sbg8
(g9
g10
NtRp32871
(dp32872
g13
Nsg14
Nsg15
Vvector
p32873
sbg8
(g9
g10
NtRp32874
(dp32875
g13
Nsg14
Nsg15
VSHP
p32876
sbNg8
(g9
g10
NtRp32877
(dp32878
g13
Nsg14
Nsg15
V1:10000
p32879
sbNg8
(g9
g10
NtRp32880
(dp32881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50882620603260914032B0 (PS) (Date: 2006/03/26) \u000a                      * Spot 5 2,50 m - 50892620711130929182B8 (PS) (Date: 2007/11/13) \u000a                      * Spot 5 2,50 m - 50902620705270900391B3 (PS) (Date: 2007/05/27)
p32882
sbg8
(g9
g10
NtRp32883
(dp32884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71c47f78-27b6-4080-acd5-47b306b273d8
p32885
sbg8
(g9
g10
NtRp32886
(dp32887
g13
Nsg14
g74
sg15
V2006
p32888
sbg8
(g9
g10
NtRp32889
(dp32890
g13
Nsg14
g74
sg15
V2007
p32891
sbg8
(g9
g10
NtRp32892
(dp32893
g13
Nsg14
Nsg15
VTRUE
p32894
sbg8
(g9
g10
NtRp32895
(dp32896
g13
Nsg14
Nsg15
VBulgaria|Land use|Pleven
p32897
sbg8
(g9
g10
NtRp32898
(dp32899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32900
sbg8
(g9
g10
NtRp32901
(dp32902
g13
Nsg14
Nsg15
VFALSE
p32903
sbNg8
(g9
g10
NtRp32904
(dp32905
g13
Nsg14
Nsg15
VFALSE
p32906
sbNNNNNNNg8
(g9
g10
NtRp32907
(dp32908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32909
(dp32910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32911
(dp32912
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-bg005l_pleven_2006-2007
p32913
sbNg8
(g9
g10
NtRp32914
(dp32915
g13
Nsg14
Nsg15
Vobsolete
p32916
sbtp32917
a(g8
(g9
g10
NtRp32918
(dp32919
g13
Nsg14
Nsg15
V08209b88-8fd1-4574-aa83-6c282be9252e
p32920
sbNg8
(g9
g10
NtRp32921
(dp32922
g13
Nsg14
Nsg15
VUrban Atlas - Latvia - Riga (R\u012bga)
p32923
sbNNNNNg8
(g9
g10
NtRp32924
(dp32925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p32926
sbg8
(g23
g10
NtRp32927
(dp32928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p32929
sbNg8
(g9
g10
NtRp32930
(dp32931
g13
Nsg14
Nsg15
VFALSE
p32932
sbNNNg8
(g9
g10
NtRp32933
(dp32934
g13
Nsg14
Nsg15
VFALSE
p32935
sbNNg8
(g9
g10
NtRp32936
(dp32937
g13
Nsg14
Nsg15
VFALSE
p32938
sbNNg8
(g9
g10
NtRp32939
(dp32940
g13
Nsg14
Nsg15
VFALSE
p32941
sbNg8
(g9
g10
NtRp32942
(dp32943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/08209b88-8fd1-4574-aa83-6c282be9252e.png
p32944
sbNg8
(g9
g10
NtRp32945
(dp32946
g13
Nsg14
Nsg15
V2019-06-04
p32947
sbNNg8
(g9
g10
NtRp32948
(dp32949
g13
Nsg14
Nsg15
Vland use|urban area
p32950
sbg8
(g9
g10
NtRp32951
(dp32952
g13
Nsg14
Nsg15
Vvector
p32953
sbg8
(g9
g10
NtRp32954
(dp32955
g13
Nsg14
Nsg15
VSHP
p32956
sbNg8
(g9
g10
NtRp32957
(dp32958
g13
Nsg14
Nsg15
V1:10000
p32959
sbNg8
(g9
g10
NtRp32960
(dp32961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50742330911031002472J8 (XS) (Date: 2009/11/03) \u000a                      * Spot 5 10 m - 50772331004190953142J4 (XS) (Date: 2010/04/19) \u000a                      * Spot 5 10 m - 50772341004140949272J0 (XS) (Date: 2010/04/14) \u000a                      * Spot 5 10 m - 50782340909020953532J0 (XS) (Date: 2009/09/02) \u000a                      * Spot 5 10 m - 50782350909020954012J0 (XS) (Date: 2009/09/02) \u000a                      * Spot 2,50 m - 50742330911031002452B8 (P) (Date: 2009/11/03) \u000a                      * Spot 2,50 m - 50772331004190953112B4 (P) (Date: 2010/04/19) \u000a                      * Spot 2,50 m - 50772341004140949252B0 (P) (Date: 2010/04/14) \u000a                      * Spot 2,50 m - 50782340909020953502B0 (P) (Date: 2009/09/02) \u000a                      * Spot 2,50 m - 50782350909020953582B0 (P) (Date: 2009/09/02)
p32962
sbg8
(g9
g10
NtRp32963
(dp32964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08209b88-8fd1-4574-aa83-6c282be9252e
p32965
sbg8
(g9
g10
NtRp32966
(dp32967
g13
Nsg14
g74
sg15
V2009
p32968
sbg8
(g9
g10
NtRp32969
(dp32970
g13
Nsg14
g74
sg15
V2010
p32971
sbg8
(g9
g10
NtRp32972
(dp32973
g13
Nsg14
Nsg15
VTRUE
p32974
sbg8
(g9
g10
NtRp32975
(dp32976
g13
Nsg14
Nsg15
VLand use|Latvia|Riga
p32977
sbg8
(g9
g10
NtRp32978
(dp32979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p32980
sbg8
(g9
g10
NtRp32981
(dp32982
g13
Nsg14
Nsg15
VFALSE
p32983
sbNg8
(g9
g10
NtRp32984
(dp32985
g13
Nsg14
Nsg15
VFALSE
p32986
sbNNNNNNNg8
(g9
g10
NtRp32987
(dp32988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp32989
(dp32990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp32991
(dp32992
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-lv001l_riga_2009-2010
p32993
sbNg8
(g9
g10
NtRp32994
(dp32995
g13
Nsg14
Nsg15
Vobsolete
p32996
sbtp32997
a(g8
(g9
g10
NtRp32998
(dp32999
g13
Nsg14
Nsg15
V47423e54-27da-4071-b1f6-101542519cbf
p33000
sbNg8
(g9
g10
NtRp33001
(dp33002
g13
Nsg14
Nsg15
VUrban Atlas - Finland - Turku
p33003
sbNNNNNg8
(g9
g10
NtRp33004
(dp33005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33006
sbg8
(g23
g10
NtRp33007
(dp33008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33009
sbNg8
(g9
g10
NtRp33010
(dp33011
g13
Nsg14
Nsg15
VFALSE
p33012
sbNNNg8
(g9
g10
NtRp33013
(dp33014
g13
Nsg14
Nsg15
VFALSE
p33015
sbNNg8
(g9
g10
NtRp33016
(dp33017
g13
Nsg14
Nsg15
VFALSE
p33018
sbNNg8
(g9
g10
NtRp33019
(dp33020
g13
Nsg14
Nsg15
VFALSE
p33021
sbNg8
(g9
g10
NtRp33022
(dp33023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/47423e54-27da-4071-b1f6-101542519cbf.png
p33024
sbNg8
(g9
g10
NtRp33025
(dp33026
g13
Nsg14
Nsg15
V2019-06-04
p33027
sbNNg8
(g9
g10
NtRp33028
(dp33029
g13
Nsg14
Nsg15
Vland use|urban area
p33030
sbg8
(g9
g10
NtRp33031
(dp33032
g13
Nsg14
Nsg15
Vvector
p33033
sbg8
(g9
g10
NtRp33034
(dp33035
g13
Nsg14
Nsg15
VSHP
p33036
sbNg8
(g9
g10
NtRp33037
(dp33038
g13
Nsg14
Nsg15
V1:10000
p33039
sbNg8
(g9
g10
NtRp33040
(dp33041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50662260609220948352B0 (Date: 2006/09/22) \u000a                      * Spot 5 2,50 m - 50692260608051011341B1 (Date: 2006/08/05) \u000a                      * Spot 10 m - 50692260608051011361J0 (Date: 2006/08/05) \u000a                      * ALOS 10 m - AL_AV2_X_20070616_100011_DLR_7415_PRUTM (Date: 2007/06/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070616_100019_DLR_7415_PRUTM (Date: 2007/06/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080503_095720_DLR_12112_PRUTM (Date: 2008/05/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080503_095724_DLR_12112_PRUTM (Date: 2008/05/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080503_095728_DLR_12112_PRUTM (Date: 2008/05/03)
p33042
sbg8
(g9
g10
NtRp33043
(dp33044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47423e54-27da-4071-b1f6-101542519cbf
p33045
sbg8
(g9
g10
NtRp33046
(dp33047
g13
Nsg14
g74
sg15
V2006
p33048
sbg8
(g9
g10
NtRp33049
(dp33050
g13
Nsg14
g74
sg15
V2008
p33051
sbg8
(g9
g10
NtRp33052
(dp33053
g13
Nsg14
Nsg15
VTRUE
p33054
sbg8
(g9
g10
NtRp33055
(dp33056
g13
Nsg14
Nsg15
VFinland|Land use|Turku
p33057
sbg8
(g9
g10
NtRp33058
(dp33059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33060
sbg8
(g9
g10
NtRp33061
(dp33062
g13
Nsg14
Nsg15
VFALSE
p33063
sbNg8
(g9
g10
NtRp33064
(dp33065
g13
Nsg14
Nsg15
VFALSE
p33066
sbNNNNNNNg8
(g9
g10
NtRp33067
(dp33068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33069
(dp33070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33071
(dp33072
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-fi003l_turku_2006-2008
p33073
sbNg8
(g9
g10
NtRp33074
(dp33075
g13
Nsg14
Nsg15
Vobsolete
p33076
sbtp33077
a(g8
(g9
g10
NtRp33078
(dp33079
g13
Nsg14
Nsg15
Ve9880a82-c8fa-49f1-9141-947243c1e85e
p33080
sbNg8
(g9
g10
NtRp33081
(dp33082
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Wiesbaden
p33083
sbNNNNNg8
(g9
g10
NtRp33084
(dp33085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33086
sbg8
(g23
g10
NtRp33087
(dp33088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33089
sbNg8
(g9
g10
NtRp33090
(dp33091
g13
Nsg14
Nsg15
VFALSE
p33092
sbNNNg8
(g9
g10
NtRp33093
(dp33094
g13
Nsg14
Nsg15
VFALSE
p33095
sbNNg8
(g9
g10
NtRp33096
(dp33097
g13
Nsg14
Nsg15
VFALSE
p33098
sbNNg8
(g9
g10
NtRp33099
(dp33100
g13
Nsg14
Nsg15
VFALSE
p33101
sbNg8
(g9
g10
NtRp33102
(dp33103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9880a82-c8fa-49f1-9141-947243c1e85e.png
p33104
sbNg8
(g9
g10
NtRp33105
(dp33106
g13
Nsg14
Nsg15
V2019-06-04
p33107
sbNNg8
(g9
g10
NtRp33108
(dp33109
g13
Nsg14
Nsg15
Vland use|urban area
p33110
sbg8
(g9
g10
NtRp33111
(dp33112
g13
Nsg14
Nsg15
Vvector
p33113
sbg8
(g9
g10
NtRp33114
(dp33115
g13
Nsg14
Nsg15
VSHP
p33116
sbNg8
(g9
g10
NtRp33117
(dp33118
g13
Nsg14
Nsg15
V1:10000
p33119
sbNg8
(g9
g10
NtRp33120
(dp33121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * RapidEye 5 m - 2009-08-19T111354_RE4_3A-NAC_5450297_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111354_RE4_3A-NAC_5450299_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111357_RE4_3A-NAC_5450301_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111358_RE4_3A-NAC_5450296_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111359_RE4_3A-NAC_5450294_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111400_RE4_3A-NAC_5450298_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111401_RE4_3A-NAC_5450300_104058 (XS) (Date: 2009/08/19) \u000a                      * RapidEye 5 m - 2009-08-19T111402_RE4_3A-NAC_5450295_104058 (XS) (Date: 2009/08/19) \u000a                      * ALOS 10 m - AL_AV2_X_20090617_103839_DLR_18093_PRUTM (XS) (Date: 2009/06/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103602_DLR_17174_PRUTM (P) (Date: 2009/04/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103606_DLR_17174_PRUTM (P) (Date: 2009/04/15)
p33122
sbg8
(g9
g10
NtRp33123
(dp33124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9880a82-c8fa-49f1-9141-947243c1e85e
p33125
sbg8
(g9
g10
NtRp33126
(dp33127
g13
Nsg14
g74
sg15
V2009
p33128
sbg8
(g9
g10
NtRp33129
(dp33130
g13
Nsg14
g74
sg15
V2009
p33131
sbg8
(g9
g10
NtRp33132
(dp33133
g13
Nsg14
Nsg15
VFALSE
p33134
sbg8
(g9
g10
NtRp33135
(dp33136
g13
Nsg14
Nsg15
VGermany|Land use|Wiesbaden
p33137
sbg8
(g9
g10
NtRp33138
(dp33139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33140
sbg8
(g9
g10
NtRp33141
(dp33142
g13
Nsg14
Nsg15
VFALSE
p33143
sbNg8
(g9
g10
NtRp33144
(dp33145
g13
Nsg14
Nsg15
VFALSE
p33146
sbNNNNNNNg8
(g9
g10
NtRp33147
(dp33148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33149
(dp33150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33151
(dp33152
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de020l_wiesbaden_2009
p33153
sbNg8
(g9
g10
NtRp33154
(dp33155
g13
Nsg14
Nsg15
Vobsolete
p33156
sbtp33157
a(g8
(g9
g10
NtRp33158
(dp33159
g13
Nsg14
Nsg15
Vd1170703-4bd9-4b09-ae28-a186932d6f25
p33160
sbNg8
(g9
g10
NtRp33161
(dp33162
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Catania
p33163
sbNNNNNg8
(g9
g10
NtRp33164
(dp33165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33166
sbg8
(g23
g10
NtRp33167
(dp33168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33169
sbNg8
(g9
g10
NtRp33170
(dp33171
g13
Nsg14
Nsg15
VFALSE
p33172
sbNNNg8
(g9
g10
NtRp33173
(dp33174
g13
Nsg14
Nsg15
VFALSE
p33175
sbNNg8
(g9
g10
NtRp33176
(dp33177
g13
Nsg14
Nsg15
VFALSE
p33178
sbNNg8
(g9
g10
NtRp33179
(dp33180
g13
Nsg14
Nsg15
VFALSE
p33181
sbNg8
(g9
g10
NtRp33182
(dp33183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1170703-4bd9-4b09-ae28-a186932d6f25.png
p33184
sbNg8
(g9
g10
NtRp33185
(dp33186
g13
Nsg14
Nsg15
V2019-06-04
p33187
sbNNg8
(g9
g10
NtRp33188
(dp33189
g13
Nsg14
Nsg15
Vland use|urban area
p33190
sbg8
(g9
g10
NtRp33191
(dp33192
g13
Nsg14
Nsg15
Vvector
p33193
sbg8
(g9
g10
NtRp33194
(dp33195
g13
Nsg14
Nsg15
VSHP
p33196
sbNg8
(g9
g10
NtRp33197
(dp33198
g13
Nsg14
Nsg15
V1:10000
p33199
sbNg8
(g9
g10
NtRp33200
(dp33201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186393001 (PS) (Date: 2005/08/07)
p33202
sbg8
(g9
g10
NtRp33203
(dp33204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1170703-4bd9-4b09-ae28-a186932d6f25
p33205
sbg8
(g9
g10
NtRp33206
(dp33207
g13
Nsg14
g74
sg15
V2005
p33208
sbg8
(g9
g10
NtRp33209
(dp33210
g13
Nsg14
g74
sg15
V2005
p33211
sbg8
(g9
g10
NtRp33212
(dp33213
g13
Nsg14
Nsg15
VFALSE
p33214
sbg8
(g9
g10
NtRp33215
(dp33216
g13
Nsg14
Nsg15
VCatania|Italy|Land use
p33217
sbg8
(g9
g10
NtRp33218
(dp33219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33220
sbg8
(g9
g10
NtRp33221
(dp33222
g13
Nsg14
Nsg15
VFALSE
p33223
sbNg8
(g9
g10
NtRp33224
(dp33225
g13
Nsg14
Nsg15
VFALSE
p33226
sbNNNNNNNg8
(g9
g10
NtRp33227
(dp33228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33229
(dp33230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33231
(dp33232
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it010l_catania_2005
p33233
sbNg8
(g9
g10
NtRp33234
(dp33235
g13
Nsg14
Nsg15
Vobsolete
p33236
sbtp33237
a(g8
(g9
g10
NtRp33238
(dp33239
g13
Nsg14
Nsg15
Vad3a3363-eb50-463d-918c-e30f4112617c
p33240
sbNg8
(g9
g10
NtRp33241
(dp33242
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Prague (Praha)
p33243
sbNNNNNg8
(g9
g10
NtRp33244
(dp33245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33246
sbg8
(g23
g10
NtRp33247
(dp33248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33249
sbNg8
(g9
g10
NtRp33250
(dp33251
g13
Nsg14
Nsg15
VFALSE
p33252
sbNNNg8
(g9
g10
NtRp33253
(dp33254
g13
Nsg14
Nsg15
VFALSE
p33255
sbNNg8
(g9
g10
NtRp33256
(dp33257
g13
Nsg14
Nsg15
VFALSE
p33258
sbNNg8
(g9
g10
NtRp33259
(dp33260
g13
Nsg14
Nsg15
VFALSE
p33261
sbNg8
(g9
g10
NtRp33262
(dp33263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad3a3363-eb50-463d-918c-e30f4112617c.png
p33264
sbNg8
(g9
g10
NtRp33265
(dp33266
g13
Nsg14
Nsg15
V2019-06-04
p33267
sbNNg8
(g9
g10
NtRp33268
(dp33269
g13
Nsg14
Nsg15
Vland use|urban area
p33270
sbg8
(g9
g10
NtRp33271
(dp33272
g13
Nsg14
Nsg15
Vvector
p33273
sbg8
(g9
g10
NtRp33274
(dp33275
g13
Nsg14
Nsg15
VSHP
p33276
sbNg8
(g9
g10
NtRp33277
(dp33278
g13
Nsg14
Nsg15
V1:10000
p33279
sbNg8
(g9
g10
NtRp33280
(dp33281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784014 (XS) (Date: 2007/09/30) \u000a                      * Spot 5 2,50 m - 00182784015 (XS) (Date: 2007/09/30) \u000a                      * Spot 5 2,50 m - 00182784016 (XS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182784017 (XS) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182784018 (XS) (Date: 2006/09/10) \u000a                      * Spot 5 2,50 m - 00182784019 (XS) (Date: 2006/09/10) \u000a                      * Spot 5 2,50 m - 00182793013 (P) (Date: 2007/09/30) \u000a                      * Spot 5 2,50 m - 00182793014 (P) (Date: 2007/09/30) \u000a                      * Spot 5 2,50 m - 00182793015 (P) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182793016 (P) (Date: 2006/07/20) \u000a                      * Spot 5 2,50 m - 00182793017 (P) (Date: 2006/09/10) \u000a                      * Spot 5 2,50 m - 00182793018 (P) (Date: 2006/09/10)
p33282
sbg8
(g9
g10
NtRp33283
(dp33284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad3a3363-eb50-463d-918c-e30f4112617c
p33285
sbg8
(g9
g10
NtRp33286
(dp33287
g13
Nsg14
g74
sg15
V2006
p33288
sbg8
(g9
g10
NtRp33289
(dp33290
g13
Nsg14
g74
sg15
V2007
p33291
sbg8
(g9
g10
NtRp33292
(dp33293
g13
Nsg14
Nsg15
VTRUE
p33294
sbg8
(g9
g10
NtRp33295
(dp33296
g13
Nsg14
Nsg15
VCzechia|Land use|Prague
p33297
sbg8
(g9
g10
NtRp33298
(dp33299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33300
sbg8
(g9
g10
NtRp33301
(dp33302
g13
Nsg14
Nsg15
VFALSE
p33303
sbNg8
(g9
g10
NtRp33304
(dp33305
g13
Nsg14
Nsg15
VFALSE
p33306
sbNNNNNNNg8
(g9
g10
NtRp33307
(dp33308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33309
(dp33310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33311
(dp33312
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz001l_praha_2006-2007
p33313
sbNg8
(g9
g10
NtRp33314
(dp33315
g13
Nsg14
Nsg15
Vobsolete
p33316
sbtp33317
a(g8
(g9
g10
NtRp33318
(dp33319
g13
Nsg14
Nsg15
Vb36755bc-0484-40e6-a44b-2c10b3e60fd9
p33320
sbNg8
(g9
g10
NtRp33321
(dp33322
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Londonderry (Doire)
p33323
sbNNNNNg8
(g9
g10
NtRp33324
(dp33325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33326
sbg8
(g23
g10
NtRp33327
(dp33328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33329
sbNg8
(g9
g10
NtRp33330
(dp33331
g13
Nsg14
Nsg15
VFALSE
p33332
sbNNNg8
(g9
g10
NtRp33333
(dp33334
g13
Nsg14
Nsg15
VFALSE
p33335
sbNNg8
(g9
g10
NtRp33336
(dp33337
g13
Nsg14
Nsg15
VFALSE
p33338
sbNNg8
(g9
g10
NtRp33339
(dp33340
g13
Nsg14
Nsg15
VFALSE
p33341
sbNg8
(g9
g10
NtRp33342
(dp33343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b36755bc-0484-40e6-a44b-2c10b3e60fd9.png
p33344
sbNg8
(g9
g10
NtRp33345
(dp33346
g13
Nsg14
Nsg15
V2019-06-04
p33347
sbNNg8
(g9
g10
NtRp33348
(dp33349
g13
Nsg14
Nsg15
Vland use|urban area
p33350
sbg8
(g9
g10
NtRp33351
(dp33352
g13
Nsg14
Nsg15
Vvector
p33353
sbg8
(g9
g10
NtRp33354
(dp33355
g13
Nsg14
Nsg15
VSHP
p33356
sbNg8
(g9
g10
NtRp33357
(dp33358
g13
Nsg14
Nsg15
V1:10000
p33359
sbNg8
(g9
g10
NtRp33360
(dp33361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50142381002101142432B3 (PS) (Date: 2010/02/10) \u000a                      * Spot 5 2,50 m - 50142381005081210252B3 (PS) (Date: 2010/05/08)
p33362
sbg8
(g9
g10
NtRp33363
(dp33364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b36755bc-0484-40e6-a44b-2c10b3e60fd9
p33365
sbg8
(g9
g10
NtRp33366
(dp33367
g13
Nsg14
g74
sg15
V2010
p33368
sbg8
(g9
g10
NtRp33369
(dp33370
g13
Nsg14
g74
sg15
V2010
p33371
sbg8
(g9
g10
NtRp33372
(dp33373
g13
Nsg14
Nsg15
VFALSE
p33374
sbg8
(g9
g10
NtRp33375
(dp33376
g13
Nsg14
Nsg15
VLand use|Londonderry|United Kingdom
p33377
sbg8
(g9
g10
NtRp33378
(dp33379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33380
sbg8
(g9
g10
NtRp33381
(dp33382
g13
Nsg14
Nsg15
VFALSE
p33383
sbNg8
(g9
g10
NtRp33384
(dp33385
g13
Nsg14
Nsg15
VFALSE
p33386
sbNNNNNNNg8
(g9
g10
NtRp33387
(dp33388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33389
(dp33390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33391
(dp33392
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-uk015l_derry_2010
p33393
sbNg8
(g9
g10
NtRp33394
(dp33395
g13
Nsg14
Nsg15
Vobsolete
p33396
sbtp33397
a(g8
(g9
g10
NtRp33398
(dp33399
g13
Nsg14
Nsg15
Vba9d7df5-cd08-4499-b85b-fcb19af5505a
p33400
sbNg8
(g9
g10
NtRp33401
(dp33402
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Taranto
p33403
sbNNNNNg8
(g9
g10
NtRp33404
(dp33405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33406
sbg8
(g23
g10
NtRp33407
(dp33408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33409
sbNg8
(g9
g10
NtRp33410
(dp33411
g13
Nsg14
Nsg15
VFALSE
p33412
sbNNNg8
(g9
g10
NtRp33413
(dp33414
g13
Nsg14
Nsg15
VFALSE
p33415
sbNNg8
(g9
g10
NtRp33416
(dp33417
g13
Nsg14
Nsg15
VFALSE
p33418
sbNNg8
(g9
g10
NtRp33419
(dp33420
g13
Nsg14
Nsg15
VFALSE
p33421
sbNg8
(g9
g10
NtRp33422
(dp33423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba9d7df5-cd08-4499-b85b-fcb19af5505a.png
p33424
sbNg8
(g9
g10
NtRp33425
(dp33426
g13
Nsg14
Nsg15
V2019-06-04
p33427
sbNNg8
(g9
g10
NtRp33428
(dp33429
g13
Nsg14
Nsg15
Vland use|urban area
p33430
sbg8
(g9
g10
NtRp33431
(dp33432
g13
Nsg14
Nsg15
Vvector
p33433
sbg8
(g9
g10
NtRp33434
(dp33435
g13
Nsg14
Nsg15
VSHP
p33436
sbNg8
(g9
g10
NtRp33437
(dp33438
g13
Nsg14
Nsg15
V1:10000
p33439
sbNg8
(g9
g10
NtRp33440
(dp33441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070618_094837_DLR_7444_PRUTM (XS) (Date: 2007/06/18) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070618_094846_DLR_7444_PRUTM (XS) (Date: 2007/06/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061002_094937_DLR_3666_PRUTM (P) (Date: 2006/10/02) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070618_094837_DLR_7444_PRUTM (P) (Date: 2007/06/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070618_094841_DLR_7444_PRUTM (P) (Date: 2007/06/18) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070717_094630_DLR_7867_PRUTM (P) (Date: 2007/07/17) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080505_094544_DLR_12141_PRUTM (P) (Date: 2008/05/05) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080505_094548_DLR_12141_PRUTM (P) (Date: 2008/05/05)
p33442
sbg8
(g9
g10
NtRp33443
(dp33444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba9d7df5-cd08-4499-b85b-fcb19af5505a
p33445
sbg8
(g9
g10
NtRp33446
(dp33447
g13
Nsg14
g74
sg15
V2006
p33448
sbg8
(g9
g10
NtRp33449
(dp33450
g13
Nsg14
g74
sg15
V2008
p33451
sbg8
(g9
g10
NtRp33452
(dp33453
g13
Nsg14
Nsg15
VTRUE
p33454
sbg8
(g9
g10
NtRp33455
(dp33456
g13
Nsg14
Nsg15
VItaly|Land use|Taranto
p33457
sbg8
(g9
g10
NtRp33458
(dp33459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33460
sbg8
(g9
g10
NtRp33461
(dp33462
g13
Nsg14
Nsg15
VFALSE
p33463
sbNg8
(g9
g10
NtRp33464
(dp33465
g13
Nsg14
Nsg15
VFALSE
p33466
sbNNNNNNNg8
(g9
g10
NtRp33467
(dp33468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33469
(dp33470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33471
(dp33472
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it022l_taranto_2006-2008
p33473
sbNg8
(g9
g10
NtRp33474
(dp33475
g13
Nsg14
Nsg15
Vobsolete
p33476
sbtp33477
a(g8
(g9
g10
NtRp33478
(dp33479
g13
Nsg14
Nsg15
V32abdec0-2c4a-4f3c-ab4b-5f1261d90e75
p33480
sbNg8
(g9
g10
NtRp33481
(dp33482
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Brescia
p33483
sbNNNNNg8
(g9
g10
NtRp33484
(dp33485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33486
sbg8
(g23
g10
NtRp33487
(dp33488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33489
sbNg8
(g9
g10
NtRp33490
(dp33491
g13
Nsg14
Nsg15
VFALSE
p33492
sbNNNg8
(g9
g10
NtRp33493
(dp33494
g13
Nsg14
Nsg15
VFALSE
p33495
sbNNg8
(g9
g10
NtRp33496
(dp33497
g13
Nsg14
Nsg15
VFALSE
p33498
sbNNg8
(g9
g10
NtRp33499
(dp33500
g13
Nsg14
Nsg15
VFALSE
p33501
sbNg8
(g9
g10
NtRp33502
(dp33503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/32abdec0-2c4a-4f3c-ab4b-5f1261d90e75.png
p33504
sbNg8
(g9
g10
NtRp33505
(dp33506
g13
Nsg14
Nsg15
V2019-06-04
p33507
sbNNg8
(g9
g10
NtRp33508
(dp33509
g13
Nsg14
Nsg15
Vland use|urban area
p33510
sbg8
(g9
g10
NtRp33511
(dp33512
g13
Nsg14
Nsg15
Vvector
p33513
sbg8
(g9
g10
NtRp33514
(dp33515
g13
Nsg14
Nsg15
VSHP
p33516
sbNg8
(g9
g10
NtRp33517
(dp33518
g13
Nsg14
Nsg15
V1:10000
p33519
sbNg8
(g9
g10
NtRp33520
(dp33521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00186393003 (PS) (Date: 2006/07/20)
p33522
sbg8
(g9
g10
NtRp33523
(dp33524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32abdec0-2c4a-4f3c-ab4b-5f1261d90e75
p33525
sbg8
(g9
g10
NtRp33526
(dp33527
g13
Nsg14
g74
sg15
V2006
p33528
sbg8
(g9
g10
NtRp33529
(dp33530
g13
Nsg14
g74
sg15
V2006
p33531
sbg8
(g9
g10
NtRp33532
(dp33533
g13
Nsg14
Nsg15
VFALSE
p33534
sbg8
(g9
g10
NtRp33535
(dp33536
g13
Nsg14
Nsg15
VBrescia|Italy|Land use
p33537
sbg8
(g9
g10
NtRp33538
(dp33539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33540
sbg8
(g9
g10
NtRp33541
(dp33542
g13
Nsg14
Nsg15
VFALSE
p33543
sbNg8
(g9
g10
NtRp33544
(dp33545
g13
Nsg14
Nsg15
VFALSE
p33546
sbNNNNNNNg8
(g9
g10
NtRp33547
(dp33548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33549
(dp33550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33551
(dp33552
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it029l_brescia_2006
p33553
sbNg8
(g9
g10
NtRp33554
(dp33555
g13
Nsg14
Nsg15
Vobsolete
p33556
sbtp33557
a(g8
(g9
g10
NtRp33558
(dp33559
g13
Nsg14
Nsg15
Vcf3c85e3-affe-4ae4-9b50-566beeedab29
p33560
sbNg8
(g9
g10
NtRp33561
(dp33562
g13
Nsg14
Nsg15
VUrban Atlas - France - Amiens
p33563
sbNNNNNg8
(g9
g10
NtRp33564
(dp33565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33566
sbg8
(g23
g10
NtRp33567
(dp33568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33569
sbNg8
(g9
g10
NtRp33570
(dp33571
g13
Nsg14
Nsg15
VFALSE
p33572
sbNNNg8
(g9
g10
NtRp33573
(dp33574
g13
Nsg14
Nsg15
VFALSE
p33575
sbNNg8
(g9
g10
NtRp33576
(dp33577
g13
Nsg14
Nsg15
VFALSE
p33578
sbNNg8
(g9
g10
NtRp33579
(dp33580
g13
Nsg14
Nsg15
VFALSE
p33581
sbNg8
(g9
g10
NtRp33582
(dp33583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cf3c85e3-affe-4ae4-9b50-566beeedab29.png
p33584
sbNg8
(g9
g10
NtRp33585
(dp33586
g13
Nsg14
Nsg15
V2019-06-04
p33587
sbNNg8
(g9
g10
NtRp33588
(dp33589
g13
Nsg14
Nsg15
Vland use|urban area
p33590
sbg8
(g9
g10
NtRp33591
(dp33592
g13
Nsg14
Nsg15
Vvector
p33593
sbg8
(g9
g10
NtRp33594
(dp33595
g13
Nsg14
Nsg15
VSHP
p33596
sbNg8
(g9
g10
NtRp33597
(dp33598
g13
Nsg14
Nsg15
V1:10000
p33599
sbNg8
(g9
g10
NtRp33600
(dp33601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50382490510271038112B0 (PS) (Date: 2005/10/27) \u000a                      * Spot 5 2,50 m - 50402490510111046112B0 (PS) (Date: 2005/10/11)
p33602
sbg8
(g9
g10
NtRp33603
(dp33604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf3c85e3-affe-4ae4-9b50-566beeedab29
p33605
sbg8
(g9
g10
NtRp33606
(dp33607
g13
Nsg14
g74
sg15
V2005
p33608
sbg8
(g9
g10
NtRp33609
(dp33610
g13
Nsg14
g74
sg15
V2005
p33611
sbg8
(g9
g10
NtRp33612
(dp33613
g13
Nsg14
Nsg15
VFALSE
p33614
sbg8
(g9
g10
NtRp33615
(dp33616
g13
Nsg14
Nsg15
VAmiens|France|Land use
p33617
sbg8
(g9
g10
NtRp33618
(dp33619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33620
sbg8
(g9
g10
NtRp33621
(dp33622
g13
Nsg14
Nsg15
VFALSE
p33623
sbNg8
(g9
g10
NtRp33624
(dp33625
g13
Nsg14
Nsg15
VFALSE
p33626
sbNNNNNNNg8
(g9
g10
NtRp33627
(dp33628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33629
(dp33630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33631
(dp33632
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr014l_amiens_2005
p33633
sbNg8
(g9
g10
NtRp33634
(dp33635
g13
Nsg14
Nsg15
Vobsolete
p33636
sbtp33637
a(g8
(g9
g10
NtRp33638
(dp33639
g13
Nsg14
Nsg15
V92b9615a-c50b-4254-a763-87a3cd203852
p33640
sbNg8
(g9
g10
NtRp33641
(dp33642
g13
Nsg14
Nsg15
VUrban Atlas - France - Saint-Étienne
p33643
sbNNNNNg8
(g9
g10
NtRp33644
(dp33645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33646
sbg8
(g23
g10
NtRp33647
(dp33648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33649
sbNg8
(g9
g10
NtRp33650
(dp33651
g13
Nsg14
Nsg15
VFALSE
p33652
sbNNNg8
(g9
g10
NtRp33653
(dp33654
g13
Nsg14
Nsg15
VFALSE
p33655
sbNNg8
(g9
g10
NtRp33656
(dp33657
g13
Nsg14
Nsg15
VFALSE
p33658
sbNNg8
(g9
g10
NtRp33659
(dp33660
g13
Nsg14
Nsg15
VFALSE
p33661
sbNg8
(g9
g10
NtRp33662
(dp33663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/92b9615a-c50b-4254-a763-87a3cd203852.png
p33664
sbNg8
(g9
g10
NtRp33665
(dp33666
g13
Nsg14
Nsg15
V2019-06-04
p33667
sbNNg8
(g9
g10
NtRp33668
(dp33669
g13
Nsg14
Nsg15
Vland use|urban area
p33670
sbg8
(g9
g10
NtRp33671
(dp33672
g13
Nsg14
Nsg15
Vvector
p33673
sbg8
(g9
g10
NtRp33674
(dp33675
g13
Nsg14
Nsg15
VSHP
p33676
sbNg8
(g9
g10
NtRp33677
(dp33678
g13
Nsg14
Nsg15
V1:10000
p33679
sbNg8
(g9
g10
NtRp33680
(dp33681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157009 (PS) (Date: 2005/07/15)
p33682
sbg8
(g9
g10
NtRp33683
(dp33684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92b9615a-c50b-4254-a763-87a3cd203852
p33685
sbg8
(g9
g10
NtRp33686
(dp33687
g13
Nsg14
g74
sg15
V2005
p33688
sbg8
(g9
g10
NtRp33689
(dp33690
g13
Nsg14
g74
sg15
V2005
p33691
sbg8
(g9
g10
NtRp33692
(dp33693
g13
Nsg14
Nsg15
VFALSE
p33694
sbg8
(g9
g10
NtRp33695
(dp33696
g13
Nsg14
Nsg15
VFrance|Land use|Saint-Étienne
p33697
sbg8
(g9
g10
NtRp33698
(dp33699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33700
sbg8
(g9
g10
NtRp33701
(dp33702
g13
Nsg14
Nsg15
VFALSE
p33703
sbNg8
(g9
g10
NtRp33704
(dp33705
g13
Nsg14
Nsg15
VFALSE
p33706
sbNNNNNNNg8
(g9
g10
NtRp33707
(dp33708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33709
(dp33710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33711
(dp33712
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr011c_saint_etienne_2005
p33713
sbNg8
(g9
g10
NtRp33714
(dp33715
g13
Nsg14
Nsg15
Vobsolete
p33716
sbtp33717
a(g8
(g9
g10
NtRp33718
(dp33719
g13
Nsg14
Nsg15
V91b07101-c415-40e6-9d94-ae731072cc03
p33720
sbNg8
(g9
g10
NtRp33721
(dp33722
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Trento
p33723
sbNNNNNg8
(g9
g10
NtRp33724
(dp33725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33726
sbg8
(g23
g10
NtRp33727
(dp33728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33729
sbNg8
(g9
g10
NtRp33730
(dp33731
g13
Nsg14
Nsg15
VFALSE
p33732
sbNNNg8
(g9
g10
NtRp33733
(dp33734
g13
Nsg14
Nsg15
VFALSE
p33735
sbNNg8
(g9
g10
NtRp33736
(dp33737
g13
Nsg14
Nsg15
VFALSE
p33738
sbNNg8
(g9
g10
NtRp33739
(dp33740
g13
Nsg14
Nsg15
VFALSE
p33741
sbNg8
(g9
g10
NtRp33742
(dp33743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/91b07101-c415-40e6-9d94-ae731072cc03.png
p33744
sbNg8
(g9
g10
NtRp33745
(dp33746
g13
Nsg14
Nsg15
V2019-06-04
p33747
sbNNg8
(g9
g10
NtRp33748
(dp33749
g13
Nsg14
Nsg15
Vland use|urban area
p33750
sbg8
(g9
g10
NtRp33751
(dp33752
g13
Nsg14
Nsg15
Vvector
p33753
sbg8
(g9
g10
NtRp33754
(dp33755
g13
Nsg14
Nsg15
VSHP
p33756
sbNg8
(g9
g10
NtRp33757
(dp33758
g13
Nsg14
Nsg15
V1:10000
p33759
sbNg8
(g9
g10
NtRp33760
(dp33761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50602570608311016011B0 (PS) (Date: 2006/08/31)
p33762
sbg8
(g9
g10
NtRp33763
(dp33764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91b07101-c415-40e6-9d94-ae731072cc03
p33765
sbg8
(g9
g10
NtRp33766
(dp33767
g13
Nsg14
g74
sg15
V2006
p33768
sbg8
(g9
g10
NtRp33769
(dp33770
g13
Nsg14
g74
sg15
V2006
p33771
sbg8
(g9
g10
NtRp33772
(dp33773
g13
Nsg14
Nsg15
VFALSE
p33774
sbg8
(g9
g10
NtRp33775
(dp33776
g13
Nsg14
Nsg15
VItaly|Land use|Trento
p33777
sbg8
(g9
g10
NtRp33778
(dp33779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33780
sbg8
(g9
g10
NtRp33781
(dp33782
g13
Nsg14
Nsg15
VFALSE
p33783
sbNg8
(g9
g10
NtRp33784
(dp33785
g13
Nsg14
Nsg15
VFALSE
p33786
sbNNNNNNNg8
(g9
g10
NtRp33787
(dp33788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33789
(dp33790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33791
(dp33792
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it014l_trento_2006
p33793
sbNg8
(g9
g10
NtRp33794
(dp33795
g13
Nsg14
Nsg15
Vobsolete
p33796
sbtp33797
a(g8
(g9
g10
NtRp33798
(dp33799
g13
Nsg14
Nsg15
V207c3818-986a-4775-9a23-83f49da34d11
p33800
sbNg8
(g9
g10
NtRp33801
(dp33802
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Miskolc
p33803
sbNNNNNg8
(g9
g10
NtRp33804
(dp33805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33806
sbg8
(g23
g10
NtRp33807
(dp33808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33809
sbNg8
(g9
g10
NtRp33810
(dp33811
g13
Nsg14
Nsg15
VFALSE
p33812
sbNNNg8
(g9
g10
NtRp33813
(dp33814
g13
Nsg14
Nsg15
VFALSE
p33815
sbNNg8
(g9
g10
NtRp33816
(dp33817
g13
Nsg14
Nsg15
VFALSE
p33818
sbNNg8
(g9
g10
NtRp33819
(dp33820
g13
Nsg14
Nsg15
VFALSE
p33821
sbNg8
(g9
g10
NtRp33822
(dp33823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/207c3818-986a-4775-9a23-83f49da34d11.png
p33824
sbNg8
(g9
g10
NtRp33825
(dp33826
g13
Nsg14
Nsg15
V2019-06-04
p33827
sbNNg8
(g9
g10
NtRp33828
(dp33829
g13
Nsg14
Nsg15
Vland use|urban area
p33830
sbg8
(g9
g10
NtRp33831
(dp33832
g13
Nsg14
Nsg15
Vvector
p33833
sbg8
(g9
g10
NtRp33834
(dp33835
g13
Nsg14
Nsg15
VSHP
p33836
sbNg8
(g9
g10
NtRp33837
(dp33838
g13
Nsg14
Nsg15
V1:10000
p33839
sbNg8
(g9
g10
NtRp33840
(dp33841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 0018182800015 (PS) (Date: 2006/07/28) \u000a                      * Spot 5 2,50 m - 0018182800038 (PS) (Date: 2007/10/11)
p33842
sbg8
(g9
g10
NtRp33843
(dp33844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/207c3818-986a-4775-9a23-83f49da34d11
p33845
sbg8
(g9
g10
NtRp33846
(dp33847
g13
Nsg14
g74
sg15
V2006
p33848
sbg8
(g9
g10
NtRp33849
(dp33850
g13
Nsg14
g74
sg15
V2007
p33851
sbg8
(g9
g10
NtRp33852
(dp33853
g13
Nsg14
Nsg15
VTRUE
p33854
sbg8
(g9
g10
NtRp33855
(dp33856
g13
Nsg14
Nsg15
VHungary|Land use|Miskolc
p33857
sbg8
(g9
g10
NtRp33858
(dp33859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33860
sbg8
(g9
g10
NtRp33861
(dp33862
g13
Nsg14
Nsg15
VFALSE
p33863
sbNg8
(g9
g10
NtRp33864
(dp33865
g13
Nsg14
Nsg15
VFALSE
p33866
sbNNNNNNNg8
(g9
g10
NtRp33867
(dp33868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33869
(dp33870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33871
(dp33872
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu002l_miskolc_2006-2007
p33873
sbNg8
(g9
g10
NtRp33874
(dp33875
g13
Nsg14
Nsg15
Vobsolete
p33876
sbtp33877
a(g8
(g9
g10
NtRp33878
(dp33879
g13
Nsg14
Nsg15
V8fd3a352-30d4-4f21-8488-8d6277e556a2
p33880
sbNg8
(g9
g10
NtRp33881
(dp33882
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Olomouc
p33883
sbNNNNNg8
(g9
g10
NtRp33884
(dp33885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33886
sbg8
(g23
g10
NtRp33887
(dp33888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33889
sbNg8
(g9
g10
NtRp33890
(dp33891
g13
Nsg14
Nsg15
VFALSE
p33892
sbNNNg8
(g9
g10
NtRp33893
(dp33894
g13
Nsg14
Nsg15
VFALSE
p33895
sbNNg8
(g9
g10
NtRp33896
(dp33897
g13
Nsg14
Nsg15
VFALSE
p33898
sbNNg8
(g9
g10
NtRp33899
(dp33900
g13
Nsg14
Nsg15
VFALSE
p33901
sbNg8
(g9
g10
NtRp33902
(dp33903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8fd3a352-30d4-4f21-8488-8d6277e556a2.png
p33904
sbNg8
(g9
g10
NtRp33905
(dp33906
g13
Nsg14
Nsg15
V2019-06-04
p33907
sbNNg8
(g9
g10
NtRp33908
(dp33909
g13
Nsg14
Nsg15
Vland use|urban area
p33910
sbg8
(g9
g10
NtRp33911
(dp33912
g13
Nsg14
Nsg15
Vvector
p33913
sbg8
(g9
g10
NtRp33914
(dp33915
g13
Nsg14
Nsg15
VSHP
p33916
sbNg8
(g9
g10
NtRp33917
(dp33918
g13
Nsg14
Nsg15
V1:10000
p33919
sbNg8
(g9
g10
NtRp33920
(dp33921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538052 (PS) (Date: 2007/05/03) \u000a                      * Spot 5 2,50 m - 00183756056 (PS) (Date: 2007/07/20)
p33922
sbg8
(g9
g10
NtRp33923
(dp33924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8fd3a352-30d4-4f21-8488-8d6277e556a2
p33925
sbg8
(g9
g10
NtRp33926
(dp33927
g13
Nsg14
g74
sg15
V2007
p33928
sbg8
(g9
g10
NtRp33929
(dp33930
g13
Nsg14
g74
sg15
V2007
p33931
sbg8
(g9
g10
NtRp33932
(dp33933
g13
Nsg14
Nsg15
VFALSE
p33934
sbg8
(g9
g10
NtRp33935
(dp33936
g13
Nsg14
Nsg15
VCzechia|Land use|Olomouc
p33937
sbg8
(g9
g10
NtRp33938
(dp33939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p33940
sbg8
(g9
g10
NtRp33941
(dp33942
g13
Nsg14
Nsg15
VFALSE
p33943
sbNg8
(g9
g10
NtRp33944
(dp33945
g13
Nsg14
Nsg15
VFALSE
p33946
sbNNNNNNNg8
(g9
g10
NtRp33947
(dp33948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp33949
(dp33950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp33951
(dp33952
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz006l_olomouc_2007
p33953
sbNg8
(g9
g10
NtRp33954
(dp33955
g13
Nsg14
Nsg15
Vobsolete
p33956
sbtp33957
a(g8
(g9
g10
NtRp33958
(dp33959
g13
Nsg14
Nsg15
V78a2b145-a061-4119-bb3f-26881dc95c0e
p33960
sbNg8
(g9
g10
NtRp33961
(dp33962
g13
Nsg14
Nsg15
VUrban Atlas - France - Strasbourg
p33963
sbNNNNNg8
(g9
g10
NtRp33964
(dp33965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p33966
sbg8
(g23
g10
NtRp33967
(dp33968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p33969
sbNg8
(g9
g10
NtRp33970
(dp33971
g13
Nsg14
Nsg15
VFALSE
p33972
sbNNNg8
(g9
g10
NtRp33973
(dp33974
g13
Nsg14
Nsg15
VFALSE
p33975
sbNNg8
(g9
g10
NtRp33976
(dp33977
g13
Nsg14
Nsg15
VFALSE
p33978
sbNNg8
(g9
g10
NtRp33979
(dp33980
g13
Nsg14
Nsg15
VFALSE
p33981
sbNg8
(g9
g10
NtRp33982
(dp33983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/78a2b145-a061-4119-bb3f-26881dc95c0e.png
p33984
sbNg8
(g9
g10
NtRp33985
(dp33986
g13
Nsg14
Nsg15
V2019-06-04
p33987
sbNNg8
(g9
g10
NtRp33988
(dp33989
g13
Nsg14
Nsg15
Vland use|urban area
p33990
sbg8
(g9
g10
NtRp33991
(dp33992
g13
Nsg14
Nsg15
Vvector
p33993
sbg8
(g9
g10
NtRp33994
(dp33995
g13
Nsg14
Nsg15
VSHP
p33996
sbNg8
(g9
g10
NtRp33997
(dp33998
g13
Nsg14
Nsg15
V1:10000
p33999
sbNg8
(g9
g10
NtRp34000
(dp34001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157004 (PS) (Date: 2005/06/03) \u000a                      * Spot 5 2,50 m - 00187157014 (PS) (Date: 2005/09/05)
p34002
sbg8
(g9
g10
NtRp34003
(dp34004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/78a2b145-a061-4119-bb3f-26881dc95c0e
p34005
sbg8
(g9
g10
NtRp34006
(dp34007
g13
Nsg14
g74
sg15
V2005
p34008
sbg8
(g9
g10
NtRp34009
(dp34010
g13
Nsg14
g74
sg15
V2005
p34011
sbg8
(g9
g10
NtRp34012
(dp34013
g13
Nsg14
Nsg15
VFALSE
p34014
sbg8
(g9
g10
NtRp34015
(dp34016
g13
Nsg14
Nsg15
VFrance|Land use|Strasbourg
p34017
sbg8
(g9
g10
NtRp34018
(dp34019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34020
sbg8
(g9
g10
NtRp34021
(dp34022
g13
Nsg14
Nsg15
VFALSE
p34023
sbNg8
(g9
g10
NtRp34024
(dp34025
g13
Nsg14
Nsg15
VFALSE
p34026
sbNNNNNNNg8
(g9
g10
NtRp34027
(dp34028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34029
(dp34030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34031
(dp34032
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-fr006l_strasbourg_2005
p34033
sbNg8
(g9
g10
NtRp34034
(dp34035
g13
Nsg14
Nsg15
Vobsolete
p34036
sbtp34037
a(g8
(g9
g10
NtRp34038
(dp34039
g13
Nsg14
Nsg15
V46bb9eb7-b189-4295-a469-0d753bfacd4a
p34040
sbNg8
(g9
g10
NtRp34041
(dp34042
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Wuppertal
p34043
sbNNNNNg8
(g9
g10
NtRp34044
(dp34045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34046
sbg8
(g23
g10
NtRp34047
(dp34048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34049
sbNg8
(g9
g10
NtRp34050
(dp34051
g13
Nsg14
Nsg15
VFALSE
p34052
sbNNNg8
(g9
g10
NtRp34053
(dp34054
g13
Nsg14
Nsg15
VFALSE
p34055
sbNNg8
(g9
g10
NtRp34056
(dp34057
g13
Nsg14
Nsg15
VFALSE
p34058
sbNNg8
(g9
g10
NtRp34059
(dp34060
g13
Nsg14
Nsg15
VFALSE
p34061
sbNg8
(g9
g10
NtRp34062
(dp34063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/46bb9eb7-b189-4295-a469-0d753bfacd4a.png
p34064
sbNg8
(g9
g10
NtRp34065
(dp34066
g13
Nsg14
Nsg15
V2019-06-04
p34067
sbNNg8
(g9
g10
NtRp34068
(dp34069
g13
Nsg14
Nsg15
Vland use|urban area
p34070
sbg8
(g9
g10
NtRp34071
(dp34072
g13
Nsg14
Nsg15
Vvector
p34073
sbg8
(g9
g10
NtRp34074
(dp34075
g13
Nsg14
Nsg15
VSHP
p34076
sbNg8
(g9
g10
NtRp34077
(dp34078
g13
Nsg14
Nsg15
V1:10000
p34079
sbNg8
(g9
g10
NtRp34080
(dp34081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538025 (PS) (Date: 2005/10/17)
p34082
sbg8
(g9
g10
NtRp34083
(dp34084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46bb9eb7-b189-4295-a469-0d753bfacd4a
p34085
sbg8
(g9
g10
NtRp34086
(dp34087
g13
Nsg14
g74
sg15
V2005
p34088
sbg8
(g9
g10
NtRp34089
(dp34090
g13
Nsg14
g74
sg15
V2005
p34091
sbg8
(g9
g10
NtRp34092
(dp34093
g13
Nsg14
Nsg15
VFALSE
p34094
sbg8
(g9
g10
NtRp34095
(dp34096
g13
Nsg14
Nsg15
VGermany|Land use|Wuppertal
p34097
sbg8
(g9
g10
NtRp34098
(dp34099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34100
sbg8
(g9
g10
NtRp34101
(dp34102
g13
Nsg14
Nsg15
VFALSE
p34103
sbNg8
(g9
g10
NtRp34104
(dp34105
g13
Nsg14
Nsg15
VFALSE
p34106
sbNNNNNNNg8
(g9
g10
NtRp34107
(dp34108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34109
(dp34110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34111
(dp34112
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de016l_wuppertal_2005
p34113
sbNg8
(g9
g10
NtRp34114
(dp34115
g13
Nsg14
Nsg15
Vobsolete
p34116
sbtp34117
a(g8
(g9
g10
NtRp34118
(dp34119
g13
Nsg14
Nsg15
Va221d323-4318-4036-9ec8-dbb18134be1f
p34120
sbNg8
(g9
g10
NtRp34121
(dp34122
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Nowy S\u0105cz
p34123
sbNNNNNg8
(g9
g10
NtRp34124
(dp34125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34126
sbg8
(g23
g10
NtRp34127
(dp34128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34129
sbNg8
(g9
g10
NtRp34130
(dp34131
g13
Nsg14
Nsg15
VFALSE
p34132
sbNNNg8
(g9
g10
NtRp34133
(dp34134
g13
Nsg14
Nsg15
VFALSE
p34135
sbNNg8
(g9
g10
NtRp34136
(dp34137
g13
Nsg14
Nsg15
VFALSE
p34138
sbNNg8
(g9
g10
NtRp34139
(dp34140
g13
Nsg14
Nsg15
VFALSE
p34141
sbNg8
(g9
g10
NtRp34142
(dp34143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a221d323-4318-4036-9ec8-dbb18134be1f.png
p34144
sbNg8
(g9
g10
NtRp34145
(dp34146
g13
Nsg14
Nsg15
V2019-06-04
p34147
sbNNg8
(g9
g10
NtRp34148
(dp34149
g13
Nsg14
Nsg15
Vland use|urban area
p34150
sbg8
(g9
g10
NtRp34151
(dp34152
g13
Nsg14
Nsg15
Vvector
p34153
sbg8
(g9
g10
NtRp34154
(dp34155
g13
Nsg14
Nsg15
VSHP
p34156
sbNg8
(g9
g10
NtRp34157
(dp34158
g13
Nsg14
Nsg15
V1:10000
p34159
sbNg8
(g9
g10
NtRp34160
(dp34161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50772490610180951282J6 (XS) (Date: 2006/10/18) \u000a                      * Spot 5 2,50 m - 50772490610180951262B6 (P) (Date: 2006/10/18)
p34162
sbg8
(g9
g10
NtRp34163
(dp34164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a221d323-4318-4036-9ec8-dbb18134be1f
p34165
sbg8
(g9
g10
NtRp34166
(dp34167
g13
Nsg14
g74
sg15
V2006
p34168
sbg8
(g9
g10
NtRp34169
(dp34170
g13
Nsg14
g74
sg15
V2006
p34171
sbg8
(g9
g10
NtRp34172
(dp34173
g13
Nsg14
Nsg15
VFALSE
p34174
sbg8
(g9
g10
NtRp34175
(dp34176
g13
Nsg14
Nsg15
VLand use|Nowy S\u0105cz|Poland
p34177
sbg8
(g9
g10
NtRp34178
(dp34179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34180
sbg8
(g9
g10
NtRp34181
(dp34182
g13
Nsg14
Nsg15
VFALSE
p34183
sbNg8
(g9
g10
NtRp34184
(dp34185
g13
Nsg14
Nsg15
VFALSE
p34186
sbNNNNNNNg8
(g9
g10
NtRp34187
(dp34188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34189
(dp34190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34191
(dp34192
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl020l_nowy_sacz_2006
p34193
sbNg8
(g9
g10
NtRp34194
(dp34195
g13
Nsg14
Nsg15
Vobsolete
p34196
sbtp34197
a(g8
(g9
g10
NtRp34198
(dp34199
g13
Nsg14
Nsg15
V06359fb7-4c5d-43fa-9d81-16b31711e022
p34200
sbNg8
(g9
g10
NtRp34201
(dp34202
g13
Nsg14
Nsg15
VUrban Atlas - Poland - Kalisz
p34203
sbNNNNNg8
(g9
g10
NtRp34204
(dp34205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34206
sbg8
(g23
g10
NtRp34207
(dp34208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34209
sbNg8
(g9
g10
NtRp34210
(dp34211
g13
Nsg14
Nsg15
VFALSE
p34212
sbNNNg8
(g9
g10
NtRp34213
(dp34214
g13
Nsg14
Nsg15
VFALSE
p34215
sbNNg8
(g9
g10
NtRp34216
(dp34217
g13
Nsg14
Nsg15
VFALSE
p34218
sbNNg8
(g9
g10
NtRp34219
(dp34220
g13
Nsg14
Nsg15
VFALSE
p34221
sbNg8
(g9
g10
NtRp34222
(dp34223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/06359fb7-4c5d-43fa-9d81-16b31711e022.png
p34224
sbNg8
(g9
g10
NtRp34225
(dp34226
g13
Nsg14
Nsg15
V2019-06-04
p34227
sbNNg8
(g9
g10
NtRp34228
(dp34229
g13
Nsg14
Nsg15
Vland use|urban area
p34230
sbg8
(g9
g10
NtRp34231
(dp34232
g13
Nsg14
Nsg15
Vvector
p34233
sbg8
(g9
g10
NtRp34234
(dp34235
g13
Nsg14
Nsg15
VSHP
p34236
sbNg8
(g9
g10
NtRp34237
(dp34238
g13
Nsg14
Nsg15
V1:10000
p34239
sbNg8
(g9
g10
NtRp34240
(dp34241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070611_095613_DLR_7342_PREU (XS) (Date: 2007/06/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070611_095621_DLR_7342_PREU (XS) (Date: 2007/06/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080901_095750_DLR_13877_PREU (XS) (Date: 2008/09/01) \u000a                      * ALOS 2,50 m - AL_AV2_X_20080901_095758_DLR_13877_PREU (XS) (Date: 2008/09/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100027_DLR_7838_PREU (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100032_DLR_7838_PREU (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070715_100036_DLR_7838_PREU (P) (Date: 2007/07/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080515_095517_DLR_12287_PREU (P) (Date: 2008/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080515_095521_DLR_12287_PREU (P) (Date: 2008/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080515_095525_DLR_12287_PREU (P) (Date: 2008/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080601_095704_DLR_12535_PREU (P) (Date: 2008/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080601_095708_DLR_12535_PREU (P) (Date: 2008/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080601_095712_DLR_12535_PREU (P) (Date: 2008/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080601_095716_DLR_12535_PREU (P) (Date: 2008/06/01)
p34242
sbg8
(g9
g10
NtRp34243
(dp34244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06359fb7-4c5d-43fa-9d81-16b31711e022
p34245
sbg8
(g9
g10
NtRp34246
(dp34247
g13
Nsg14
g74
sg15
V2007
p34248
sbg8
(g9
g10
NtRp34249
(dp34250
g13
Nsg14
g74
sg15
V2008
p34251
sbg8
(g9
g10
NtRp34252
(dp34253
g13
Nsg14
Nsg15
VTRUE
p34254
sbg8
(g9
g10
NtRp34255
(dp34256
g13
Nsg14
Nsg15
VKalisz|Land use|Poland
p34257
sbg8
(g9
g10
NtRp34258
(dp34259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34260
sbg8
(g9
g10
NtRp34261
(dp34262
g13
Nsg14
Nsg15
VFALSE
p34263
sbNg8
(g9
g10
NtRp34264
(dp34265
g13
Nsg14
Nsg15
VFALSE
p34266
sbNNNNNNNg8
(g9
g10
NtRp34267
(dp34268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34269
(dp34270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34271
(dp34272
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-pl027l_kalisz_2007-2008
p34273
sbNg8
(g9
g10
NtRp34274
(dp34275
g13
Nsg14
Nsg15
Vobsolete
p34276
sbtp34277
a(g8
(g9
g10
NtRp34278
(dp34279
g13
Nsg14
Nsg15
Vc2e9b50f-a0bf-4ab0-81ed-345500516609
p34280
sbNg8
(g9
g10
NtRp34281
(dp34282
g13
Nsg14
Nsg15
VUrban Atlas - Austria - Wien
p34283
sbNNNNNg8
(g9
g10
NtRp34284
(dp34285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34286
sbg8
(g23
g10
NtRp34287
(dp34288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34289
sbNg8
(g9
g10
NtRp34290
(dp34291
g13
Nsg14
Nsg15
VFALSE
p34292
sbNNNg8
(g9
g10
NtRp34293
(dp34294
g13
Nsg14
Nsg15
VFALSE
p34295
sbNNg8
(g9
g10
NtRp34296
(dp34297
g13
Nsg14
Nsg15
VFALSE
p34298
sbNNg8
(g9
g10
NtRp34299
(dp34300
g13
Nsg14
Nsg15
VFALSE
p34301
sbNg8
(g9
g10
NtRp34302
(dp34303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2e9b50f-a0bf-4ab0-81ed-345500516609.png
p34304
sbNg8
(g9
g10
NtRp34305
(dp34306
g13
Nsg14
Nsg15
V2019-06-04
p34307
sbNNg8
(g9
g10
NtRp34308
(dp34309
g13
Nsg14
Nsg15
Vland use|urban area
p34310
sbg8
(g9
g10
NtRp34311
(dp34312
g13
Nsg14
Nsg15
Vvector
p34313
sbg8
(g9
g10
NtRp34314
(dp34315
g13
Nsg14
Nsg15
VSHP
p34316
sbNg8
(g9
g10
NtRp34317
(dp34318
g13
Nsg14
Nsg15
V1:10000
p34319
sbNg8
(g9
g10
NtRp34320
(dp34321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784022 (XS) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 00182784025 (XS) (Date: 2006/11/08) \u000a                      * Spot 5 2,50 m - 00182784026 (XS) (Date: 2007/08/15) \u000a                      * Spot 5 2,50 m - 00182784028 (XS) (Date: 2007/05/02) \u000a                      * Spot 5 2,50 m - 00182793021 (P) (Date: 2006/07/06) \u000a                      * Spot 5 2,50 m - 00182793024 (P) (Date: 2006/10/12) \u000a                      * Spot 5 2,50 m - 00182793025 (P) (Date: 2006/11/08) \u000a                      * Spot 5 2,50 m - 00182793026 (P) (Date: 2007/05/02) \u000a                      * Spot 5 2,50 m - 00182793027 (P) (Date: 2005/10/29)
p34322
sbg8
(g9
g10
NtRp34323
(dp34324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2e9b50f-a0bf-4ab0-81ed-345500516609
p34325
sbg8
(g9
g10
NtRp34326
(dp34327
g13
Nsg14
g74
sg15
V2005
p34328
sbg8
(g9
g10
NtRp34329
(dp34330
g13
Nsg14
g74
sg15
V2007
p34331
sbg8
(g9
g10
NtRp34332
(dp34333
g13
Nsg14
Nsg15
VTRUE
p34334
sbg8
(g9
g10
NtRp34335
(dp34336
g13
Nsg14
Nsg15
VAustria|Land use|Wien
p34337
sbg8
(g9
g10
NtRp34338
(dp34339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34340
sbg8
(g9
g10
NtRp34341
(dp34342
g13
Nsg14
Nsg15
VFALSE
p34343
sbNg8
(g9
g10
NtRp34344
(dp34345
g13
Nsg14
Nsg15
VFALSE
p34346
sbNNNNNNNg8
(g9
g10
NtRp34347
(dp34348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34349
(dp34350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34351
(dp34352
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-at001l_wien_2005-2007
p34353
sbNg8
(g9
g10
NtRp34354
(dp34355
g13
Nsg14
Nsg15
Vobsolete
p34356
sbtp34357
a(g8
(g9
g10
NtRp34358
(dp34359
g13
Nsg14
Nsg15
V1784c02c-8ba0-4a4d-8149-f7f6732b4ec2
p34360
sbNg8
(g9
g10
NtRp34361
(dp34362
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Giurgiu
p34363
sbNNNNNg8
(g9
g10
NtRp34364
(dp34365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34366
sbg8
(g23
g10
NtRp34367
(dp34368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34369
sbNg8
(g9
g10
NtRp34370
(dp34371
g13
Nsg14
Nsg15
VFALSE
p34372
sbNNNg8
(g9
g10
NtRp34373
(dp34374
g13
Nsg14
Nsg15
VFALSE
p34375
sbNNg8
(g9
g10
NtRp34376
(dp34377
g13
Nsg14
Nsg15
VFALSE
p34378
sbNNg8
(g9
g10
NtRp34379
(dp34380
g13
Nsg14
Nsg15
VFALSE
p34381
sbNg8
(g9
g10
NtRp34382
(dp34383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1784c02c-8ba0-4a4d-8149-f7f6732b4ec2.png
p34384
sbNg8
(g9
g10
NtRp34385
(dp34386
g13
Nsg14
Nsg15
V2019-06-04
p34387
sbNNg8
(g9
g10
NtRp34388
(dp34389
g13
Nsg14
Nsg15
Vland use|urban area
p34390
sbg8
(g9
g10
NtRp34391
(dp34392
g13
Nsg14
Nsg15
Vvector
p34393
sbg8
(g9
g10
NtRp34394
(dp34395
g13
Nsg14
Nsg15
VSHP
p34396
sbNg8
(g9
g10
NtRp34397
(dp34398
g13
Nsg14
Nsg15
V1:10000
p34399
sbNg8
(g9
g10
NtRp34400
(dp34401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50922610709280913532B9 (PS) (Date: 2007/09/28)
p34402
sbg8
(g9
g10
NtRp34403
(dp34404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1784c02c-8ba0-4a4d-8149-f7f6732b4ec2
p34405
sbg8
(g9
g10
NtRp34406
(dp34407
g13
Nsg14
g74
sg15
V2007
p34408
sbg8
(g9
g10
NtRp34409
(dp34410
g13
Nsg14
g74
sg15
V2007
p34411
sbg8
(g9
g10
NtRp34412
(dp34413
g13
Nsg14
Nsg15
VFALSE
p34414
sbg8
(g9
g10
NtRp34415
(dp34416
g13
Nsg14
Nsg15
VGiurgiu|Land use|Romania
p34417
sbg8
(g9
g10
NtRp34418
(dp34419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34420
sbg8
(g9
g10
NtRp34421
(dp34422
g13
Nsg14
Nsg15
VFALSE
p34423
sbNg8
(g9
g10
NtRp34424
(dp34425
g13
Nsg14
Nsg15
VFALSE
p34426
sbNNNNNNNg8
(g9
g10
NtRp34427
(dp34428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34429
(dp34430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34431
(dp34432
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro013l_giurgiu_2007
p34433
sbNg8
(g9
g10
NtRp34434
(dp34435
g13
Nsg14
Nsg15
Vobsolete
p34436
sbtp34437
a(g8
(g9
g10
NtRp34438
(dp34439
g13
Nsg14
Nsg15
V464907c6-d8c1-448c-8434-370e55643c13
p34440
sbNg8
(g9
g10
NtRp34441
(dp34442
g13
Nsg14
Nsg15
VUrban Atlas - Portugal - Coimbra
p34443
sbNNNNNg8
(g9
g10
NtRp34444
(dp34445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34446
sbg8
(g23
g10
NtRp34447
(dp34448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34449
sbNg8
(g9
g10
NtRp34450
(dp34451
g13
Nsg14
Nsg15
VFALSE
p34452
sbNNNg8
(g9
g10
NtRp34453
(dp34454
g13
Nsg14
Nsg15
VFALSE
p34455
sbNNg8
(g9
g10
NtRp34456
(dp34457
g13
Nsg14
Nsg15
VFALSE
p34458
sbNNg8
(g9
g10
NtRp34459
(dp34460
g13
Nsg14
Nsg15
VFALSE
p34461
sbNg8
(g9
g10
NtRp34462
(dp34463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/464907c6-d8c1-448c-8434-370e55643c13.png
p34464
sbNg8
(g9
g10
NtRp34465
(dp34466
g13
Nsg14
Nsg15
V2019-06-04
p34467
sbNNg8
(g9
g10
NtRp34468
(dp34469
g13
Nsg14
Nsg15
Vland use|urban area
p34470
sbg8
(g9
g10
NtRp34471
(dp34472
g13
Nsg14
Nsg15
Vvector
p34473
sbg8
(g9
g10
NtRp34474
(dp34475
g13
Nsg14
Nsg15
VSHP
p34476
sbNg8
(g9
g10
NtRp34477
(dp34478
g13
Nsg14
Nsg15
V1:10000
p34479
sbNg8
(g9
g10
NtRp34480
(dp34481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 0018580001 (PS) (Date: 2004/04/15)
p34482
sbg8
(g9
g10
NtRp34483
(dp34484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/464907c6-d8c1-448c-8434-370e55643c13
p34485
sbg8
(g9
g10
NtRp34486
(dp34487
g13
Nsg14
g74
sg15
V2004
p34488
sbg8
(g9
g10
NtRp34489
(dp34490
g13
Nsg14
g74
sg15
V2004
p34491
sbg8
(g9
g10
NtRp34492
(dp34493
g13
Nsg14
Nsg15
VFALSE
p34494
sbg8
(g9
g10
NtRp34495
(dp34496
g13
Nsg14
Nsg15
VCoimbra|Land use|Portugal
p34497
sbg8
(g9
g10
NtRp34498
(dp34499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34500
sbg8
(g9
g10
NtRp34501
(dp34502
g13
Nsg14
Nsg15
VFALSE
p34503
sbNg8
(g9
g10
NtRp34504
(dp34505
g13
Nsg14
Nsg15
VFALSE
p34506
sbNNNNNNNg8
(g9
g10
NtRp34507
(dp34508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34509
(dp34510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34511
(dp34512
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-pt005l_coimbra_2004
p34513
sbNg8
(g9
g10
NtRp34514
(dp34515
g13
Nsg14
Nsg15
Vobsolete
p34516
sbtp34517
a(g8
(g9
g10
NtRp34518
(dp34519
g13
Nsg14
Nsg15
V4187eb09-9c9b-4810-a0d3-57cac470187d
p34520
sbNg8
(g9
g10
NtRp34521
(dp34522
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Frankfurt am Main
p34523
sbNNNNNg8
(g9
g10
NtRp34524
(dp34525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34526
sbg8
(g23
g10
NtRp34527
(dp34528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34529
sbNg8
(g9
g10
NtRp34530
(dp34531
g13
Nsg14
Nsg15
VFALSE
p34532
sbNNNg8
(g9
g10
NtRp34533
(dp34534
g13
Nsg14
Nsg15
VFALSE
p34535
sbNNg8
(g9
g10
NtRp34536
(dp34537
g13
Nsg14
Nsg15
VFALSE
p34538
sbNNg8
(g9
g10
NtRp34539
(dp34540
g13
Nsg14
Nsg15
VFALSE
p34541
sbNg8
(g9
g10
NtRp34542
(dp34543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4187eb09-9c9b-4810-a0d3-57cac470187d.png
p34544
sbNg8
(g9
g10
NtRp34545
(dp34546
g13
Nsg14
Nsg15
V2019-06-04
p34547
sbNNg8
(g9
g10
NtRp34548
(dp34549
g13
Nsg14
Nsg15
Vland use|urban area
p34550
sbg8
(g9
g10
NtRp34551
(dp34552
g13
Nsg14
Nsg15
Vvector
p34553
sbg8
(g9
g10
NtRp34554
(dp34555
g13
Nsg14
Nsg15
VSHP
p34556
sbNg8
(g9
g10
NtRp34557
(dp34558
g13
Nsg14
Nsg15
V1:10000
p34559
sbNg8
(g9
g10
NtRp34560
(dp34561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00185800005 (PS) (Date: 2005/08/31) \u000a                      * Spot 5 2,50 m - 00185800006 (PS) (Date: 2005/08/31) \u000a                      * Spot 5 2,50 m - 00185800007 (PS) (Date: 2005/09/01) \u000a                      * Spot 5 2,50 m - 00185800009 (PS) (Date: 2005/09/01) \u000a                      * Spot 5 2,50 m - 00185800011 (PS) (Date: 2005/10/28)
p34562
sbg8
(g9
g10
NtRp34563
(dp34564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4187eb09-9c9b-4810-a0d3-57cac470187d
p34565
sbg8
(g9
g10
NtRp34566
(dp34567
g13
Nsg14
g74
sg15
V2005
p34568
sbg8
(g9
g10
NtRp34569
(dp34570
g13
Nsg14
g74
sg15
V2005
p34571
sbg8
(g9
g10
NtRp34572
(dp34573
g13
Nsg14
Nsg15
VFALSE
p34574
sbg8
(g9
g10
NtRp34575
(dp34576
g13
Nsg14
Nsg15
VFrankfurt am Main|Germany|Land use
p34577
sbg8
(g9
g10
NtRp34578
(dp34579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34580
sbg8
(g9
g10
NtRp34581
(dp34582
g13
Nsg14
Nsg15
VFALSE
p34583
sbNg8
(g9
g10
NtRp34584
(dp34585
g13
Nsg14
Nsg15
VFALSE
p34586
sbNNNNNNNg8
(g9
g10
NtRp34587
(dp34588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34589
(dp34590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34591
(dp34592
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de005l_frankfurt_am_main_2005
p34593
sbNg8
(g9
g10
NtRp34594
(dp34595
g13
Nsg14
Nsg15
Vobsolete
p34596
sbtp34597
a(g8
(g9
g10
NtRp34598
(dp34599
g13
Nsg14
Nsg15
V279676fa-d3be-4dc7-8052-5ea539b64540
p34600
sbNg8
(g9
g10
NtRp34601
(dp34602
g13
Nsg14
Nsg15
VUrban Atlas - Denmark - Aalborg
p34603
sbNNNNNg8
(g9
g10
NtRp34604
(dp34605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34606
sbg8
(g23
g10
NtRp34607
(dp34608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34609
sbNg8
(g9
g10
NtRp34610
(dp34611
g13
Nsg14
Nsg15
VFALSE
p34612
sbNNNg8
(g9
g10
NtRp34613
(dp34614
g13
Nsg14
Nsg15
VFALSE
p34615
sbNNg8
(g9
g10
NtRp34616
(dp34617
g13
Nsg14
Nsg15
VFALSE
p34618
sbNNg8
(g9
g10
NtRp34619
(dp34620
g13
Nsg14
Nsg15
VFALSE
p34621
sbNg8
(g9
g10
NtRp34622
(dp34623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/279676fa-d3be-4dc7-8052-5ea539b64540.png
p34624
sbNg8
(g9
g10
NtRp34625
(dp34626
g13
Nsg14
Nsg15
V2019-06-04
p34627
sbNNg8
(g9
g10
NtRp34628
(dp34629
g13
Nsg14
Nsg15
Vland use|urban area
p34630
sbg8
(g9
g10
NtRp34631
(dp34632
g13
Nsg14
Nsg15
Vvector
p34633
sbg8
(g9
g10
NtRp34634
(dp34635
g13
Nsg14
Nsg15
VSHP
p34636
sbNg8
(g9
g10
NtRp34637
(dp34638
g13
Nsg14
Nsg15
V1:10000
p34639
sbNg8
(g9
g10
NtRp34640
(dp34641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50462320908051032192B0 (PS) (Date: 2009/08/05) \u000a                      * Spot 5 2,50 m - 50462320909101040452B0 (PS) (Date: 2009/09/10) \u000a                      * Spot 5 2,50 m - 50462331004121028312B0 (PS) (Date: 2010/04/12) \u000a                      * Spot 5 2,50 m - 50462341007231107532B0 (PS) (Date: 2010/07/23) \u000a                      * Spot 5 2,50 m - 50462350908201044352B0 (PS) (Date: 2009/08/20) \u000a                      * Spot 5 2,50 m - 50492330908201044192B0 (PS) (Date: 2009/08/20) \u000a                      * Spot 5 2,50 m - 50492331004101106552B0 (PS) (Date: 2010/04/10) \u000a                      * Spot 5 2,50 m - 50492340908201044272B0 (PS) (Date: 2009/08/20) \u000a                      * RapidEye 5 m - 2009-07-03T112449_RE4_3A-NAC_6219653_110438 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T112452_RE4_3A-NAC_6219654_110438 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T112453_RE4_3A-NAC_6219652_110438 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-07-03T112454_RE4_3A-NAC_6219650_110438 (XS) (Date: 2009/07/03) \u000a                      * RapidEye 5 m - 2009-08-18T113248_RE2_3A-NAC_6222708_110438 (XS) (Date: 2009/08/18) \u000a                      * RapidEye 5 m - 2009-09-19T112418_RE1_3A-NAC_6222632_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112419_RE1_3A-NAC_6222314_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112425_RE1_3A-NAC_6222315_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112426_RE1_3A-NAC_6222308_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112429_RE1_3A-NAC_6222631_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112430_RE1_3A-NAC_6222633_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112430_RE1_3A-NAC_6222316_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112432_RE1_3A-NAC_6222309_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112433_RE1_3A-NAC_6222310_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112434_RE1_3A-NAC_6222630_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112435_RE1_3A-NAC_6222317_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112435_RE1_3A-NAC_6222637_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112436_RE1_3A-NAC_6222635_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112437_RE1_3A-NAC_6222634_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-09-19T112438_RE1_3A-NAC_6222636_110438 (XS) (Date: 2009/09/19) \u000a                      * RapidEye 5 m - 2009-10-15T110818_RE4_3A-NAC_6219573_110438 (XS) (Date: 2009/10/15) \u000a                      * RapidEye 5 m - 2009-10-17T113010_RE5_3A-NAC_6220094_110438 (XS) (Date: 2009/10/17) \u000a                      * RapidEye 5 m - 2009-10-17T113011_RE5_3A-NAC_6220095_110438 (XS) (Date: 2009/10/17) \u000a                      * RapidEye 5 m - 2009-10-17T113014_RE5_3A-NAC_6220093_110438 (XS) (Date: 2009/10/17) \u000a                      * RapidEye 5 m - 2009-10-17T113022_RE5_3A-NAC_6220096_110438 (XS) (Date: 2009/10/17)
p34642
sbg8
(g9
g10
NtRp34643
(dp34644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/279676fa-d3be-4dc7-8052-5ea539b64540
p34645
sbg8
(g9
g10
NtRp34646
(dp34647
g13
Nsg14
g74
sg15
V2009
p34648
sbg8
(g9
g10
NtRp34649
(dp34650
g13
Nsg14
g74
sg15
V2010
p34651
sbg8
(g9
g10
NtRp34652
(dp34653
g13
Nsg14
Nsg15
VTRUE
p34654
sbg8
(g9
g10
NtRp34655
(dp34656
g13
Nsg14
Nsg15
VAalborg|Denmark|Land use
p34657
sbg8
(g9
g10
NtRp34658
(dp34659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34660
sbg8
(g9
g10
NtRp34661
(dp34662
g13
Nsg14
Nsg15
VFALSE
p34663
sbNg8
(g9
g10
NtRp34664
(dp34665
g13
Nsg14
Nsg15
VFALSE
p34666
sbNNNNNNNg8
(g9
g10
NtRp34667
(dp34668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34669
(dp34670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34671
(dp34672
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-dk004l_aalborg_2009-2010
p34673
sbNg8
(g9
g10
NtRp34674
(dp34675
g13
Nsg14
Nsg15
Vobsolete
p34676
sbtp34677
a(g8
(g9
g10
NtRp34678
(dp34679
g13
Nsg14
Nsg15
Vd4fd776c-cbfa-4442-a8c2-11aa34eea678
p34680
sbNg8
(g9
g10
NtRp34681
(dp34682
g13
Nsg14
Nsg15
VUrban Atlas - France - Le Havre
p34683
sbNNNNNg8
(g9
g10
NtRp34684
(dp34685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34686
sbg8
(g23
g10
NtRp34687
(dp34688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34689
sbNg8
(g9
g10
NtRp34690
(dp34691
g13
Nsg14
Nsg15
VFALSE
p34692
sbNNNg8
(g9
g10
NtRp34693
(dp34694
g13
Nsg14
Nsg15
VFALSE
p34695
sbNNg8
(g9
g10
NtRp34696
(dp34697
g13
Nsg14
Nsg15
VFALSE
p34698
sbNNg8
(g9
g10
NtRp34699
(dp34700
g13
Nsg14
Nsg15
VFALSE
p34701
sbNg8
(g9
g10
NtRp34702
(dp34703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4fd776c-cbfa-4442-a8c2-11aa34eea678.png
p34704
sbNg8
(g9
g10
NtRp34705
(dp34706
g13
Nsg14
Nsg15
V2019-06-04
p34707
sbNNg8
(g9
g10
NtRp34708
(dp34709
g13
Nsg14
Nsg15
Vland use|urban area
p34710
sbg8
(g9
g10
NtRp34711
(dp34712
g13
Nsg14
Nsg15
Vvector
p34713
sbg8
(g9
g10
NtRp34714
(dp34715
g13
Nsg14
Nsg15
VSHP
p34716
sbNg8
(g9
g10
NtRp34717
(dp34718
g13
Nsg14
Nsg15
V1:10000
p34719
sbNg8
(g9
g10
NtRp34720
(dp34721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50m - AL_AV2_X_20080507_110447_DLR_12171_PREU (XS) (Date: 2008/05/07) \u000a                      * ALOS 2,50m - AL_PSM_P_20080507_110443_DLR_12171_PREU (P) (Date: 2008/05/07) \u000a                      * ALOS 2,50m - AL_PSM_P_20080507_110447_DLR_12171_PREU (P) (Date: 2008/05/07)
p34722
sbg8
(g9
g10
NtRp34723
(dp34724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4fd776c-cbfa-4442-a8c2-11aa34eea678
p34725
sbg8
(g9
g10
NtRp34726
(dp34727
g13
Nsg14
g74
sg15
V2008
p34728
sbg8
(g9
g10
NtRp34729
(dp34730
g13
Nsg14
g74
sg15
V2008
p34731
sbg8
(g9
g10
NtRp34732
(dp34733
g13
Nsg14
Nsg15
VFALSE
p34734
sbg8
(g9
g10
NtRp34735
(dp34736
g13
Nsg14
Nsg15
VFrance|Land use|Le Havre
p34737
sbg8
(g9
g10
NtRp34738
(dp34739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34740
sbg8
(g9
g10
NtRp34741
(dp34742
g13
Nsg14
Nsg15
VFALSE
p34743
sbNg8
(g9
g10
NtRp34744
(dp34745
g13
Nsg14
Nsg15
VFALSE
p34746
sbNNNNNNNg8
(g9
g10
NtRp34747
(dp34748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34749
(dp34750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34751
(dp34752
g13
Nsg14
Nsg15
Vregio_v_32631_50_k_urban-atlas-fr012l_le_havre_2008
p34753
sbNg8
(g9
g10
NtRp34754
(dp34755
g13
Nsg14
Nsg15
Vobsolete
p34756
sbtp34757
a(g8
(g9
g10
NtRp34758
(dp34759
g13
Nsg14
Nsg15
V414c3d7d-3453-4825-84cf-12767412e853
p34760
sbNg8
(g9
g10
NtRp34761
(dp34762
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Leeds
p34763
sbNNNNNg8
(g9
g10
NtRp34764
(dp34765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34766
sbg8
(g23
g10
NtRp34767
(dp34768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34769
sbNg8
(g9
g10
NtRp34770
(dp34771
g13
Nsg14
Nsg15
VFALSE
p34772
sbNNNg8
(g9
g10
NtRp34773
(dp34774
g13
Nsg14
Nsg15
VFALSE
p34775
sbNNg8
(g9
g10
NtRp34776
(dp34777
g13
Nsg14
Nsg15
VFALSE
p34778
sbNNg8
(g9
g10
NtRp34779
(dp34780
g13
Nsg14
Nsg15
VFALSE
p34781
sbNg8
(g9
g10
NtRp34782
(dp34783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/414c3d7d-3453-4825-84cf-12767412e853.png
p34784
sbNg8
(g9
g10
NtRp34785
(dp34786
g13
Nsg14
Nsg15
V2019-06-04
p34787
sbNNg8
(g9
g10
NtRp34788
(dp34789
g13
Nsg14
Nsg15
Vland use|urban area
p34790
sbg8
(g9
g10
NtRp34791
(dp34792
g13
Nsg14
Nsg15
Vvector
p34793
sbg8
(g9
g10
NtRp34794
(dp34795
g13
Nsg14
Nsg15
VSHP
p34796
sbNg8
(g9
g10
NtRp34797
(dp34798
g13
Nsg14
Nsg15
V1:10000
p34799
sbNg8
(g9
g10
NtRp34800
(dp34801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 10 m - 50252400609211150582J0 (XS) (Date: 2005/06/27) \u000a                      * Spot 5 10 m - 50262400610291120032J0 (XS) (Date: 2006/05/04) \u000a                      * Spot 5 10 m - 50262410605041143031J0 (XS) (Date: 2006/10/29) \u000a                      * Spot 5 10 m - 50292400506271125292J8 (XS) (Date: 2006/09/21) \u000a                      * ALOS 10 m - AL_AV2_X_20070901_112111_DLR_8539_PRUTM (XS) (Date: 2007/09/01) \u000a                      * ALOS 10 m - AL_AV2_X_20070901_112119_DLR_8539_PRUTM (XS) (Date: 2007/09/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070601_112128_DLR_7197_PRUTM (P) (Date: 2007/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070601_112132_DLR_7197_PRUTM (P) (Date: 2007/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070601_112136_DLR_7197_PRUTM (P) (Date: 2007/06/01) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090323_112407_DLR_16839_PRUTM (P) (Date: 2009/03/23) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112208_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112212_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090421_112216_DLR_17262_PRUTM (P) (Date: 2009/04/21) \u000a                      * RapidEye 5 m - 2009-04-19T115021_RE4_3A-NAC_6222639_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115022_RE4_3A-NAC_6223142_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115023_RE4_3A-NAC_6222980_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115025_RE4_3A-NAC_6223140_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115025_RE4_3A-NAC_6223143_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115026_RE4_3A-NAC_6222640_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115028_RE4_3A-NAC_6222319_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115029_RE4_3A-NAC_6222709_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115030_RE4_3A-NAC_6222877_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115032_RE4_3A-NAC_6223139_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115032_RE4_3A-NAC_6222641_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T115033_RE4_3A-NAC_6222318_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T121027_RE3_3A-NAC_6222765_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T121028_RE3_3A-NAC_6223145_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-04-19T121031_RE3_3A-NAC_6222849_110504 (XS) (Date: 2009/04/19) \u000a                      * RapidEye 5 m - 2009-05-31T115306_RE3_3A-NAC_6222766_110504 (XS) (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_6222313_110504 (XS) (Date: 2009/05/31) \u000a                      * RapidEye 5 m - 2010-04-11T120356_RE3_3A-NAC_6224468_110504 (XS) (Date: 2010/04/11) \u000a                      * RapidEye 5 m - 2010-04-11T120400_RE3_3A-NAC_6224174_110504 (XS) (Date: 2010/04/11)
p34802
sbg8
(g9
g10
NtRp34803
(dp34804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/414c3d7d-3453-4825-84cf-12767412e853
p34805
sbg8
(g9
g10
NtRp34806
(dp34807
g13
Nsg14
g74
sg15
V2005
p34808
sbg8
(g9
g10
NtRp34809
(dp34810
g13
Nsg14
g74
sg15
V2010
p34811
sbg8
(g9
g10
NtRp34812
(dp34813
g13
Nsg14
Nsg15
VTRUE
p34814
sbg8
(g9
g10
NtRp34815
(dp34816
g13
Nsg14
Nsg15
VLand use|Leeds|United Kingdom
p34817
sbg8
(g9
g10
NtRp34818
(dp34819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34820
sbg8
(g9
g10
NtRp34821
(dp34822
g13
Nsg14
Nsg15
VFALSE
p34823
sbNg8
(g9
g10
NtRp34824
(dp34825
g13
Nsg14
Nsg15
VFALSE
p34826
sbNNNNNNNg8
(g9
g10
NtRp34827
(dp34828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34829
(dp34830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34831
(dp34832
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk201l_leeds_2005-2010
p34833
sbNg8
(g9
g10
NtRp34834
(dp34835
g13
Nsg14
Nsg15
Vobsolete
p34836
sbtp34837
a(g8
(g9
g10
NtRp34838
(dp34839
g13
Nsg14
Nsg15
Ve2aeb5f9-baba-4455-9f5b-8173acb0eb7c
p34840
sbNg8
(g9
g10
NtRp34841
(dp34842
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Badajoz
p34843
sbNNNNNg8
(g9
g10
NtRp34844
(dp34845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34846
sbg8
(g23
g10
NtRp34847
(dp34848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34849
sbNg8
(g9
g10
NtRp34850
(dp34851
g13
Nsg14
Nsg15
VFALSE
p34852
sbNNNg8
(g9
g10
NtRp34853
(dp34854
g13
Nsg14
Nsg15
VFALSE
p34855
sbNNg8
(g9
g10
NtRp34856
(dp34857
g13
Nsg14
Nsg15
VFALSE
p34858
sbNNg8
(g9
g10
NtRp34859
(dp34860
g13
Nsg14
Nsg15
VFALSE
p34861
sbNg8
(g9
g10
NtRp34862
(dp34863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e2aeb5f9-baba-4455-9f5b-8173acb0eb7c.png
p34864
sbNg8
(g9
g10
NtRp34865
(dp34866
g13
Nsg14
Nsg15
V2019-06-04
p34867
sbNNg8
(g9
g10
NtRp34868
(dp34869
g13
Nsg14
Nsg15
Vland use|urban area
p34870
sbg8
(g9
g10
NtRp34871
(dp34872
g13
Nsg14
Nsg15
Vvector
p34873
sbg8
(g9
g10
NtRp34874
(dp34875
g13
Nsg14
Nsg15
VSHP
p34876
sbNg8
(g9
g10
NtRp34877
(dp34878
g13
Nsg14
Nsg15
V1:10000
p34879
sbNg8
(g9
g10
NtRp34880
(dp34881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070515_112329_DLR_6949_PRUTM (XS) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070515_112338_DLR_6949_PRUTM (XS) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070515_112329_DLR_6949_PRUTM (P) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070515_112334_DLR_6949_PRUTM (P) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070515_112338_DLR_6949_PRUTM (P) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070515_112342_DLR_6949_PRUTM (P) (Date: 2007/05/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070630_112327_DLR_7620_PRUTM (P) (Date: 2007/06/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070630_112331_DLR_7620_PRUTM (P) (Date: 2007/06/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070630_112335_DLR_7620_PRUTM (P) (Date: 2007/06/30) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070630_112339_DLR_7620_PRUTM (P) (Date: 2007/06/30)
p34882
sbg8
(g9
g10
NtRp34883
(dp34884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e2aeb5f9-baba-4455-9f5b-8173acb0eb7c
p34885
sbg8
(g9
g10
NtRp34886
(dp34887
g13
Nsg14
g74
sg15
V2007
p34888
sbg8
(g9
g10
NtRp34889
(dp34890
g13
Nsg14
g74
sg15
V2007
p34891
sbg8
(g9
g10
NtRp34892
(dp34893
g13
Nsg14
Nsg15
VFALSE
p34894
sbg8
(g9
g10
NtRp34895
(dp34896
g13
Nsg14
Nsg15
VBadajoz|Land use|Spain
p34897
sbg8
(g9
g10
NtRp34898
(dp34899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34900
sbg8
(g9
g10
NtRp34901
(dp34902
g13
Nsg14
Nsg15
VFALSE
p34903
sbNg8
(g9
g10
NtRp34904
(dp34905
g13
Nsg14
Nsg15
VFALSE
p34906
sbNNNNNNNg8
(g9
g10
NtRp34907
(dp34908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34909
(dp34910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34911
(dp34912
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-es017l_badajoz_2007
p34913
sbNg8
(g9
g10
NtRp34914
(dp34915
g13
Nsg14
Nsg15
Vobsolete
p34916
sbtp34917
a(g8
(g9
g10
NtRp34918
(dp34919
g13
Nsg14
Nsg15
V5cb21492-6cce-4733-b615-6355ba3840f3
p34920
sbNg8
(g9
g10
NtRp34921
(dp34922
g13
Nsg14
Nsg15
VUrban Atlas - Denmark - Odense
p34923
sbNNNNNg8
(g9
g10
NtRp34924
(dp34925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p34926
sbg8
(g23
g10
NtRp34927
(dp34928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p34929
sbNg8
(g9
g10
NtRp34930
(dp34931
g13
Nsg14
Nsg15
VFALSE
p34932
sbNNNg8
(g9
g10
NtRp34933
(dp34934
g13
Nsg14
Nsg15
VFALSE
p34935
sbNNg8
(g9
g10
NtRp34936
(dp34937
g13
Nsg14
Nsg15
VFALSE
p34938
sbNNg8
(g9
g10
NtRp34939
(dp34940
g13
Nsg14
Nsg15
VFALSE
p34941
sbNg8
(g9
g10
NtRp34942
(dp34943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5cb21492-6cce-4733-b615-6355ba3840f3.png
p34944
sbNg8
(g9
g10
NtRp34945
(dp34946
g13
Nsg14
Nsg15
V2019-06-04
p34947
sbNNg8
(g9
g10
NtRp34948
(dp34949
g13
Nsg14
Nsg15
Vland use|urban area
p34950
sbg8
(g9
g10
NtRp34951
(dp34952
g13
Nsg14
Nsg15
Vvector
p34953
sbg8
(g9
g10
NtRp34954
(dp34955
g13
Nsg14
Nsg15
VSHP
p34956
sbNg8
(g9
g10
NtRp34957
(dp34958
g13
Nsg14
Nsg15
V1:10000
p34959
sbNg8
(g9
g10
NtRp34960
(dp34961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50492370510051059532B0 (PS) (Date: 2005/10/05) \u000a                      * Spot 5 2,50 m - 50492370608081055531B0 (PS) (Date: 2006/08/08) \u000a                      * Spot 5 2,50 m - 50492370609141044261B9 (PS) (Date: 2006/09/14) \u000a                      * Spot 5 2,50 m - 50502370510071021152B1 (PS) (Date: 2005/10/07) \u000a                      * Spot 5 2,50 m - 50502380609241052152B1 (PS) (Date: 2006/09/24) \u000a                      * Spot 5 2,50 m - 50532380607031048121B2 (PS) (Date: 2006/07/03)
p34962
sbg8
(g9
g10
NtRp34963
(dp34964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5cb21492-6cce-4733-b615-6355ba3840f3
p34965
sbg8
(g9
g10
NtRp34966
(dp34967
g13
Nsg14
g74
sg15
V2005
p34968
sbg8
(g9
g10
NtRp34969
(dp34970
g13
Nsg14
g74
sg15
V2006
p34971
sbg8
(g9
g10
NtRp34972
(dp34973
g13
Nsg14
Nsg15
VTRUE
p34974
sbg8
(g9
g10
NtRp34975
(dp34976
g13
Nsg14
Nsg15
VDenmark|Land use|Odense
p34977
sbg8
(g9
g10
NtRp34978
(dp34979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p34980
sbg8
(g9
g10
NtRp34981
(dp34982
g13
Nsg14
Nsg15
VFALSE
p34983
sbNg8
(g9
g10
NtRp34984
(dp34985
g13
Nsg14
Nsg15
VFALSE
p34986
sbNNNNNNNg8
(g9
g10
NtRp34987
(dp34988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp34989
(dp34990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp34991
(dp34992
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-dk003l_odense_2005-2006
p34993
sbNg8
(g9
g10
NtRp34994
(dp34995
g13
Nsg14
Nsg15
Vobsolete
p34996
sbtp34997
a(g8
(g9
g10
NtRp34998
(dp34999
g13
Nsg14
Nsg15
V7ed48e1c-10c7-49fd-a47d-0c4658676608
p35000
sbNg8
(g9
g10
NtRp35001
(dp35002
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Cambridge
p35003
sbNNNNNg8
(g9
g10
NtRp35004
(dp35005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35006
sbg8
(g23
g10
NtRp35007
(dp35008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35009
sbNg8
(g9
g10
NtRp35010
(dp35011
g13
Nsg14
Nsg15
VFALSE
p35012
sbNNNg8
(g9
g10
NtRp35013
(dp35014
g13
Nsg14
Nsg15
VFALSE
p35015
sbNNg8
(g9
g10
NtRp35016
(dp35017
g13
Nsg14
Nsg15
VFALSE
p35018
sbNNg8
(g9
g10
NtRp35019
(dp35020
g13
Nsg14
Nsg15
VFALSE
p35021
sbNg8
(g9
g10
NtRp35022
(dp35023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ed48e1c-10c7-49fd-a47d-0c4658676608.png
p35024
sbNg8
(g9
g10
NtRp35025
(dp35026
g13
Nsg14
Nsg15
V2019-06-04
p35027
sbNNg8
(g9
g10
NtRp35028
(dp35029
g13
Nsg14
Nsg15
Vland use|urban area
p35030
sbg8
(g9
g10
NtRp35031
(dp35032
g13
Nsg14
Nsg15
Vvector
p35033
sbg8
(g9
g10
NtRp35034
(dp35035
g13
Nsg14
Nsg15
VSHP
p35036
sbNg8
(g9
g10
NtRp35037
(dp35038
g13
Nsg14
Nsg15
V1:10000
p35039
sbNg8
(g9
g10
NtRp35040
(dp35041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50332440611091108491B1 (PS) (Date: 2006/11/09)
p35042
sbg8
(g9
g10
NtRp35043
(dp35044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ed48e1c-10c7-49fd-a47d-0c4658676608
p35045
sbg8
(g9
g10
NtRp35046
(dp35047
g13
Nsg14
g74
sg15
V2006
p35048
sbg8
(g9
g10
NtRp35049
(dp35050
g13
Nsg14
g74
sg15
V2006
p35051
sbg8
(g9
g10
NtRp35052
(dp35053
g13
Nsg14
Nsg15
VFALSE
p35054
sbg8
(g9
g10
NtRp35055
(dp35056
g13
Nsg14
Nsg15
VCambridge|Land use|United Kingdom
p35057
sbg8
(g9
g10
NtRp35058
(dp35059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35060
sbg8
(g9
g10
NtRp35061
(dp35062
g13
Nsg14
Nsg15
VFALSE
p35063
sbNg8
(g9
g10
NtRp35064
(dp35065
g13
Nsg14
Nsg15
VFALSE
p35066
sbNNNNNNNg8
(g9
g10
NtRp35067
(dp35068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35069
(dp35070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35071
(dp35072
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-uk017l_cambridge_2006
p35073
sbNg8
(g9
g10
NtRp35074
(dp35075
g13
Nsg14
Nsg15
Vobsolete
p35076
sbtp35077
a(g8
(g9
g10
NtRp35078
(dp35079
g13
Nsg14
Nsg15
V46f983b5-7ddd-4460-a66f-fe254e75eaf3
p35080
sbNg8
(g9
g10
NtRp35081
(dp35082
g13
Nsg14
Nsg15
VUrban Atlas - France - Limoges
p35083
sbNNNNNg8
(g9
g10
NtRp35084
(dp35085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35086
sbg8
(g23
g10
NtRp35087
(dp35088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35089
sbNg8
(g9
g10
NtRp35090
(dp35091
g13
Nsg14
Nsg15
VFALSE
p35092
sbNNNg8
(g9
g10
NtRp35093
(dp35094
g13
Nsg14
Nsg15
VFALSE
p35095
sbNNg8
(g9
g10
NtRp35096
(dp35097
g13
Nsg14
Nsg15
VFALSE
p35098
sbNNg8
(g9
g10
NtRp35099
(dp35100
g13
Nsg14
Nsg15
VFALSE
p35101
sbNg8
(g9
g10
NtRp35102
(dp35103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/46f983b5-7ddd-4460-a66f-fe254e75eaf3.png
p35104
sbNg8
(g9
g10
NtRp35105
(dp35106
g13
Nsg14
Nsg15
V2019-06-04
p35107
sbNNg8
(g9
g10
NtRp35108
(dp35109
g13
Nsg14
Nsg15
Vland use|urban area
p35110
sbg8
(g9
g10
NtRp35111
(dp35112
g13
Nsg14
Nsg15
Vvector
p35113
sbg8
(g9
g10
NtRp35114
(dp35115
g13
Nsg14
Nsg15
VSHP
p35116
sbNg8
(g9
g10
NtRp35117
(dp35118
g13
Nsg14
Nsg15
V1:10000
p35119
sbNg8
(g9
g10
NtRp35120
(dp35121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 10 m - AL_AV2_X_20080920_112308_DLR_14155_PRUTM (XS) (Date: 2008/09/20) \u000a                      * ALOS 10 m - AL_AV2_X_20080920_112316_DLR_14155_PRUTM (XS) (Date: 2008/09/20) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070327_105759_DLR_6234_PRUTM (P) (Date: 2007/03/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070327_105803_DLR_6234_PRUTM (P) (Date: 2007/03/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070910_105542_DLR_8670_PRUTM (P) (Date: 2007/09/10) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080629_105430_DLR_12944_PRUTM (P) (Date: 2008/06/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080629_105434_DLR_12944_PRUTM (P) (Date: 2008/06/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080929_105549_DLR_14286_PRUTM (P) (Date: 2008/09/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080929_105553_DLR_14286_PRUTM (P) (Date: 2008/09/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080929_105557_DLR_14286_PRUTM (P) (Date: 2008//09/29) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090603_110108_DLR_17889_PRUTM (P) (Date: 2009/06/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090603_110112_DLR_17889_PRUTM (P) (Date: 2009/06/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090603_110116_DLR_17889_PRUTM (P) (Date: 2009/06/03)
p35122
sbg8
(g9
g10
NtRp35123
(dp35124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46f983b5-7ddd-4460-a66f-fe254e75eaf3
p35125
sbg8
(g9
g10
NtRp35126
(dp35127
g13
Nsg14
g74
sg15
V2007
p35128
sbg8
(g9
g10
NtRp35129
(dp35130
g13
Nsg14
g74
sg15
V2009
p35131
sbg8
(g9
g10
NtRp35132
(dp35133
g13
Nsg14
Nsg15
VTRUE
p35134
sbg8
(g9
g10
NtRp35135
(dp35136
g13
Nsg14
Nsg15
VFrance|Land use|Limoges
p35137
sbg8
(g9
g10
NtRp35138
(dp35139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35140
sbg8
(g9
g10
NtRp35141
(dp35142
g13
Nsg14
Nsg15
VFALSE
p35143
sbNg8
(g9
g10
NtRp35144
(dp35145
g13
Nsg14
Nsg15
VFALSE
p35146
sbNNNNNNNg8
(g9
g10
NtRp35147
(dp35148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35149
(dp35150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35151
(dp35152
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr024l_limoges_2007-2009
p35153
sbNg8
(g9
g10
NtRp35154
(dp35155
g13
Nsg14
Nsg15
Vobsolete
p35156
sbtp35157
a(g8
(g9
g10
NtRp35158
(dp35159
g13
Nsg14
Nsg15
V00ec2be8-c65a-4a4e-896b-bd72f20d4cfe
p35160
sbNg8
(g9
g10
NtRp35161
(dp35162
g13
Nsg14
Nsg15
VUrban Atlas - France - Lyon
p35163
sbNNNNNg8
(g9
g10
NtRp35164
(dp35165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35166
sbg8
(g23
g10
NtRp35167
(dp35168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35169
sbNg8
(g9
g10
NtRp35170
(dp35171
g13
Nsg14
Nsg15
VFALSE
p35172
sbNNNg8
(g9
g10
NtRp35173
(dp35174
g13
Nsg14
Nsg15
VFALSE
p35175
sbNNg8
(g9
g10
NtRp35176
(dp35177
g13
Nsg14
Nsg15
VFALSE
p35178
sbNNg8
(g9
g10
NtRp35179
(dp35180
g13
Nsg14
Nsg15
VFALSE
p35181
sbNg8
(g9
g10
NtRp35182
(dp35183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/00ec2be8-c65a-4a4e-896b-bd72f20d4cfe.png
p35184
sbNg8
(g9
g10
NtRp35185
(dp35186
g13
Nsg14
Nsg15
V2019-06-04
p35187
sbNNg8
(g9
g10
NtRp35188
(dp35189
g13
Nsg14
Nsg15
Vland use|urban area
p35190
sbg8
(g9
g10
NtRp35191
(dp35192
g13
Nsg14
Nsg15
Vvector
p35193
sbg8
(g9
g10
NtRp35194
(dp35195
g13
Nsg14
Nsg15
VSHP
p35196
sbNg8
(g9
g10
NtRp35197
(dp35198
g13
Nsg14
Nsg15
V1:10000
p35199
sbNg8
(g9
g10
NtRp35200
(dp35201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 001827970001 (PS) (Date: 2005/06/24) \u000a                      * Spot 5 2,50 m - 001827970002 (PS) (Date: 2005/07/15) \u000a                      * Spot 5 2,50 m - 001827970003 (PS) (Date: 2005/10/11) \u000a                      * Spot 5 2,50 m - 001827970004 (PS) (Date: 2005/10/11)
p35202
sbg8
(g9
g10
NtRp35203
(dp35204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/00ec2be8-c65a-4a4e-896b-bd72f20d4cfe
p35205
sbg8
(g9
g10
NtRp35206
(dp35207
g13
Nsg14
g74
sg15
V2005
p35208
sbg8
(g9
g10
NtRp35209
(dp35210
g13
Nsg14
g74
sg15
V2005
p35211
sbg8
(g9
g10
NtRp35212
(dp35213
g13
Nsg14
Nsg15
VFALSE
p35214
sbg8
(g9
g10
NtRp35215
(dp35216
g13
Nsg14
Nsg15
VFrance|Land use|Lyon
p35217
sbg8
(g9
g10
NtRp35218
(dp35219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35220
sbg8
(g9
g10
NtRp35221
(dp35222
g13
Nsg14
Nsg15
VFALSE
p35223
sbNg8
(g9
g10
NtRp35224
(dp35225
g13
Nsg14
Nsg15
VFALSE
p35226
sbNNNNNNNg8
(g9
g10
NtRp35227
(dp35228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35229
(dp35230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35231
(dp35232
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr003l_lyon_2005
p35233
sbNg8
(g9
g10
NtRp35234
(dp35235
g13
Nsg14
Nsg15
Vobsolete
p35236
sbtp35237
a(g8
(g9
g10
NtRp35238
(dp35239
g13
Nsg14
Nsg15
Ve014f1a0-9cdf-409e-8856-018f4a6b4cb5
p35240
sbNg8
(g9
g10
NtRp35241
(dp35242
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Rome (Roma)
p35243
sbNNNNNg8
(g9
g10
NtRp35244
(dp35245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35246
sbg8
(g23
g10
NtRp35247
(dp35248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35249
sbNg8
(g9
g10
NtRp35250
(dp35251
g13
Nsg14
Nsg15
VFALSE
p35252
sbNNNg8
(g9
g10
NtRp35253
(dp35254
g13
Nsg14
Nsg15
VFALSE
p35255
sbNNg8
(g9
g10
NtRp35256
(dp35257
g13
Nsg14
Nsg15
VFALSE
p35258
sbNNg8
(g9
g10
NtRp35259
(dp35260
g13
Nsg14
Nsg15
VFALSE
p35261
sbNg8
(g9
g10
NtRp35262
(dp35263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e014f1a0-9cdf-409e-8856-018f4a6b4cb5.png
p35264
sbNg8
(g9
g10
NtRp35265
(dp35266
g13
Nsg14
Nsg15
V2019-06-04
p35267
sbNNg8
(g9
g10
NtRp35268
(dp35269
g13
Nsg14
Nsg15
Vland use|urban area
p35270
sbg8
(g9
g10
NtRp35271
(dp35272
g13
Nsg14
Nsg15
Vvector
p35273
sbg8
(g9
g10
NtRp35274
(dp35275
g13
Nsg14
Nsg15
VSHP
p35276
sbNg8
(g9
g10
NtRp35277
(dp35278
g13
Nsg14
Nsg15
V1:10000
p35279
sbNg8
(g9
g10
NtRp35280
(dp35281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182767001 (PS) (Date: 2005/04/26) \u000a                      * Spot 5 2,50 m - 00182767002 (PS) (Date: 2005/07/23) \u000a                      * Spot 5 2,50 m - 00182767003 (PS) (Date: 2005/07/24) \u000a                      * Spot 5 2,50 m - 00182767004 (PS) (Date: 2005/08/28) \u000a                      * Spot 5 2,50 m - 00182767005 (PS) (Date: 2005/08/30)
p35282
sbg8
(g9
g10
NtRp35283
(dp35284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e014f1a0-9cdf-409e-8856-018f4a6b4cb5
p35285
sbg8
(g9
g10
NtRp35286
(dp35287
g13
Nsg14
g74
sg15
V2005
p35288
sbg8
(g9
g10
NtRp35289
(dp35290
g13
Nsg14
g74
sg15
V2005
p35291
sbg8
(g9
g10
NtRp35292
(dp35293
g13
Nsg14
Nsg15
VFALSE
p35294
sbg8
(g9
g10
NtRp35295
(dp35296
g13
Nsg14
Nsg15
VItaly|Land use|Rome
p35297
sbg8
(g9
g10
NtRp35298
(dp35299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35300
sbg8
(g9
g10
NtRp35301
(dp35302
g13
Nsg14
Nsg15
VFALSE
p35303
sbNg8
(g9
g10
NtRp35304
(dp35305
g13
Nsg14
Nsg15
VFALSE
p35306
sbNNNNNNNg8
(g9
g10
NtRp35307
(dp35308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35309
(dp35310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35311
(dp35312
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-it001l_roma_2005
p35313
sbNg8
(g9
g10
NtRp35314
(dp35315
g13
Nsg14
Nsg15
Vobsolete
p35316
sbtp35317
a(g8
(g9
g10
NtRp35318
(dp35319
g13
Nsg14
Nsg15
V7584d10d-cd34-4fc5-9da8-a891885c3771
p35320
sbNg8
(g9
g10
NtRp35321
(dp35322
g13
Nsg14
Nsg15
VUrban Atlas - Czech Republic - Zlín
p35323
sbNNNNNg8
(g9
g10
NtRp35324
(dp35325
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35326
sbg8
(g23
g10
NtRp35327
(dp35328
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35329
sbNg8
(g9
g10
NtRp35330
(dp35331
g13
Nsg14
Nsg15
VFALSE
p35332
sbNNNg8
(g9
g10
NtRp35333
(dp35334
g13
Nsg14
Nsg15
VFALSE
p35335
sbNNg8
(g9
g10
NtRp35336
(dp35337
g13
Nsg14
Nsg15
VFALSE
p35338
sbNNg8
(g9
g10
NtRp35339
(dp35340
g13
Nsg14
Nsg15
VFALSE
p35341
sbNg8
(g9
g10
NtRp35342
(dp35343
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7584d10d-cd34-4fc5-9da8-a891885c3771.png
p35344
sbNg8
(g9
g10
NtRp35345
(dp35346
g13
Nsg14
Nsg15
V2019-06-04
p35347
sbNNg8
(g9
g10
NtRp35348
(dp35349
g13
Nsg14
Nsg15
Vland use|urban area
p35350
sbg8
(g9
g10
NtRp35351
(dp35352
g13
Nsg14
Nsg15
Vvector
p35353
sbg8
(g9
g10
NtRp35354
(dp35355
g13
Nsg14
Nsg15
VSHP
p35356
sbNg8
(g9
g10
NtRp35357
(dp35358
g13
Nsg14
Nsg15
V1:10000
p35359
sbNg8
(g9
g10
NtRp35360
(dp35361
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50712500707201000211B4 (PS) (Date: 2007/07/20)
p35362
sbg8
(g9
g10
NtRp35363
(dp35364
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7584d10d-cd34-4fc5-9da8-a891885c3771
p35365
sbg8
(g9
g10
NtRp35366
(dp35367
g13
Nsg14
g74
sg15
V2007
p35368
sbg8
(g9
g10
NtRp35369
(dp35370
g13
Nsg14
g74
sg15
V2007
p35371
sbg8
(g9
g10
NtRp35372
(dp35373
g13
Nsg14
Nsg15
VFALSE
p35374
sbg8
(g9
g10
NtRp35375
(dp35376
g13
Nsg14
Nsg15
VCzechia|Land use|Zlín
p35377
sbg8
(g9
g10
NtRp35378
(dp35379
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35380
sbg8
(g9
g10
NtRp35381
(dp35382
g13
Nsg14
Nsg15
VFALSE
p35383
sbNg8
(g9
g10
NtRp35384
(dp35385
g13
Nsg14
Nsg15
VFALSE
p35386
sbNNNNNNNg8
(g9
g10
NtRp35387
(dp35388
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35389
(dp35390
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35391
(dp35392
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-cz011l_zlin_2007
p35393
sbNg8
(g9
g10
NtRp35394
(dp35395
g13
Nsg14
Nsg15
Vobsolete
p35396
sbtp35397
a(g8
(g9
g10
NtRp35398
(dp35399
g13
Nsg14
Nsg15
Va502f9eb-6efc-4624-b83e-a2ba815bfc4d
p35400
sbNg8
(g9
g10
NtRp35401
(dp35402
g13
Nsg14
Nsg15
VUrban Atlas - France - Ajaccio
p35403
sbNNNNNg8
(g9
g10
NtRp35404
(dp35405
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35406
sbg8
(g23
g10
NtRp35407
(dp35408
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35409
sbNg8
(g9
g10
NtRp35410
(dp35411
g13
Nsg14
Nsg15
VFALSE
p35412
sbNNNg8
(g9
g10
NtRp35413
(dp35414
g13
Nsg14
Nsg15
VFALSE
p35415
sbNNg8
(g9
g10
NtRp35416
(dp35417
g13
Nsg14
Nsg15
VFALSE
p35418
sbNNg8
(g9
g10
NtRp35419
(dp35420
g13
Nsg14
Nsg15
VFALSE
p35421
sbNg8
(g9
g10
NtRp35422
(dp35423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a502f9eb-6efc-4624-b83e-a2ba815bfc4d.png
p35424
sbNg8
(g9
g10
NtRp35425
(dp35426
g13
Nsg14
Nsg15
V2019-06-04
p35427
sbNNg8
(g9
g10
NtRp35428
(dp35429
g13
Nsg14
Nsg15
Vland use|urban area
p35430
sbg8
(g9
g10
NtRp35431
(dp35432
g13
Nsg14
Nsg15
Vvector
p35433
sbg8
(g9
g10
NtRp35434
(dp35435
g13
Nsg14
Nsg15
VSHP
p35436
sbNg8
(g9
g10
NtRp35437
(dp35438
g13
Nsg14
Nsg15
V1:10000
p35439
sbNg8
(g9
g10
NtRp35440
(dp35441
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50582650510271039561B3 (P) (Date: 2005/10/27) \u000a                      * ALOS 10 m - AL_AV2_X_20070816_102435_DLR_8305_PREU (XS) (Date: 2007/08/16) \u000a                      * ALOS 10 m - AL_AV2_X_20070816_102443_DLR_8305_PREU (XS) (Date: 2007/08/16) \u000a                      * ALOS2,50 m - AL_PSM_P_20070614_102233_DLR_7386_PREU (P) (Date: 2007/06/14) \u000a                      * ALOS2,50 m - AL_PSM_P_20080616_101921_DLR_12754_PREU (P) (Date: 2007/08/16) \u000a                      * ALOS2,50 m - AL_PSM_P_20080616_101925_DLR_12754_PREU (P) (Date: 2007/08/16) \u000a                      * ALOS2,50 m - AL_PSM_P_20080703_102117_DLR_13002_PREU (P) (Date: 2008/07/03)
p35442
sbg8
(g9
g10
NtRp35443
(dp35444
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a502f9eb-6efc-4624-b83e-a2ba815bfc4d
p35445
sbg8
(g9
g10
NtRp35446
(dp35447
g13
Nsg14
g74
sg15
V2005
p35448
sbg8
(g9
g10
NtRp35449
(dp35450
g13
Nsg14
g74
sg15
V2008
p35451
sbg8
(g9
g10
NtRp35452
(dp35453
g13
Nsg14
Nsg15
VTRUE
p35454
sbg8
(g9
g10
NtRp35455
(dp35456
g13
Nsg14
Nsg15
VAjaccio|France|Land use
p35457
sbg8
(g9
g10
NtRp35458
(dp35459
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35460
sbg8
(g9
g10
NtRp35461
(dp35462
g13
Nsg14
Nsg15
VFALSE
p35463
sbNg8
(g9
g10
NtRp35464
(dp35465
g13
Nsg14
Nsg15
VFALSE
p35466
sbNNNNNNNg8
(g9
g10
NtRp35467
(dp35468
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35469
(dp35470
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35471
(dp35472
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-fr027l_ajaccio_2005-2008
p35473
sbNg8
(g9
g10
NtRp35474
(dp35475
g13
Nsg14
Nsg15
Vobsolete
p35476
sbtp35477
a(g8
(g9
g10
NtRp35478
(dp35479
g13
Nsg14
Nsg15
Vf97b587f-cfa1-4340-84b3-511b5566b759
p35480
sbNg8
(g9
g10
NtRp35481
(dp35482
g13
Nsg14
Nsg15
VUrban Atlas - France - Orléans
p35483
sbNNNNNg8
(g9
g10
NtRp35484
(dp35485
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35486
sbg8
(g23
g10
NtRp35487
(dp35488
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35489
sbNg8
(g9
g10
NtRp35490
(dp35491
g13
Nsg14
Nsg15
VFALSE
p35492
sbNNNg8
(g9
g10
NtRp35493
(dp35494
g13
Nsg14
Nsg15
VFALSE
p35495
sbNNg8
(g9
g10
NtRp35496
(dp35497
g13
Nsg14
Nsg15
VFALSE
p35498
sbNNg8
(g9
g10
NtRp35499
(dp35500
g13
Nsg14
Nsg15
VFALSE
p35501
sbNg8
(g9
g10
NtRp35502
(dp35503
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f97b587f-cfa1-4340-84b3-511b5566b759.png
p35504
sbNg8
(g9
g10
NtRp35505
(dp35506
g13
Nsg14
Nsg15
V2019-06-04
p35507
sbNNg8
(g9
g10
NtRp35508
(dp35509
g13
Nsg14
Nsg15
Vland use|urban area
p35510
sbg8
(g9
g10
NtRp35511
(dp35512
g13
Nsg14
Nsg15
Vvector
p35513
sbg8
(g9
g10
NtRp35514
(dp35515
g13
Nsg14
Nsg15
VSHP
p35516
sbNg8
(g9
g10
NtRp35517
(dp35518
g13
Nsg14
Nsg15
V1:10000
p35519
sbNg8
(g9
g10
NtRp35520
(dp35521
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113529_DLR_6001_PREU(XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_AV2_X_20070311_113537_DLR_6001_PREU (XS) (Date: 2007/03/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070327_105726_DLR_6234_PREU (P) (Date: 2007/03/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070327_105730_DLR_6234_PREU (P) (Date: 2007/03/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070327_105734_DLR_6234_PREU (P) (Date: 2007/03/27) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080514_105420_DLR_12273_PREU (P) (Date: 2008/05/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080514_105425_DLR_12273_PREU (P) (Date: 2008/05/14) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080716_105606_DLR_13192_PREU (P) (Date: 2008/07/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080716_105610_DLR_13192_PREU (P) (Date: 2008/07/16) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090303_105953_DLR_16547_PREU (P) (Date: 2009/03/03) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090603_110035_DLR_17889_PREU (P) (Date: 2009/03/03)
p35522
sbg8
(g9
g10
NtRp35523
(dp35524
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f97b587f-cfa1-4340-84b3-511b5566b759
p35525
sbg8
(g9
g10
NtRp35526
(dp35527
g13
Nsg14
g74
sg15
V2007
p35528
sbg8
(g9
g10
NtRp35529
(dp35530
g13
Nsg14
g74
sg15
V2009
p35531
sbg8
(g9
g10
NtRp35532
(dp35533
g13
Nsg14
Nsg15
VTRUE
p35534
sbg8
(g9
g10
NtRp35535
(dp35536
g13
Nsg14
Nsg15
VFrance|Land use|Orléans
p35537
sbg8
(g9
g10
NtRp35538
(dp35539
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35540
sbg8
(g9
g10
NtRp35541
(dp35542
g13
Nsg14
Nsg15
VFALSE
p35543
sbNg8
(g9
g10
NtRp35544
(dp35545
g13
Nsg14
Nsg15
VFALSE
p35546
sbNNNNNNNg8
(g9
g10
NtRp35547
(dp35548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35549
(dp35550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35551
(dp35552
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr019l_orleans_2007-2009
p35553
sbNg8
(g9
g10
NtRp35554
(dp35555
g13
Nsg14
Nsg15
Vobsolete
p35556
sbtp35557
a(g8
(g9
g10
NtRp35558
(dp35559
g13
Nsg14
Nsg15
V6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d
p35560
sbNg8
(g9
g10
NtRp35561
(dp35562
g13
Nsg14
Nsg15
VUrban Atlas - Latvia - Liep\u0101ja
p35563
sbNNNNNg8
(g9
g10
NtRp35564
(dp35565
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35566
sbg8
(g23
g10
NtRp35567
(dp35568
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35569
sbNg8
(g9
g10
NtRp35570
(dp35571
g13
Nsg14
Nsg15
VFALSE
p35572
sbNNNg8
(g9
g10
NtRp35573
(dp35574
g13
Nsg14
Nsg15
VFALSE
p35575
sbNNg8
(g9
g10
NtRp35576
(dp35577
g13
Nsg14
Nsg15
VFALSE
p35578
sbNNg8
(g9
g10
NtRp35579
(dp35580
g13
Nsg14
Nsg15
VFALSE
p35581
sbNg8
(g9
g10
NtRp35582
(dp35583
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d.png
p35584
sbNg8
(g9
g10
NtRp35585
(dp35586
g13
Nsg14
Nsg15
V2019-06-04
p35587
sbNNg8
(g9
g10
NtRp35588
(dp35589
g13
Nsg14
Nsg15
Vland use|urban area
p35590
sbg8
(g9
g10
NtRp35591
(dp35592
g13
Nsg14
Nsg15
Vvector
p35593
sbg8
(g9
g10
NtRp35594
(dp35595
g13
Nsg14
Nsg15
VSHP
p35596
sbNg8
(g9
g10
NtRp35597
(dp35598
g13
Nsg14
Nsg15
V1:10000
p35599
sbNg8
(g9
g10
NtRp35600
(dp35601
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800008 (PS) (Date: 2005/10/13) \u000a                      * Spot 5 2,50 m - 00182800030 (PS) (Date: 2007/06/02) \u000a                      * Spot 5 2,50 m - 00182767031 (PS) (Date: 2007/06/02) \u000a                      * Spot 5 2,50 m - 00182767032 (PS) (Date: 2007/07/16)
p35602
sbg8
(g9
g10
NtRp35603
(dp35604
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d
p35605
sbg8
(g9
g10
NtRp35606
(dp35607
g13
Nsg14
g74
sg15
V2005
p35608
sbg8
(g9
g10
NtRp35609
(dp35610
g13
Nsg14
g74
sg15
V2007
p35611
sbg8
(g9
g10
NtRp35612
(dp35613
g13
Nsg14
Nsg15
VTRUE
p35614
sbg8
(g9
g10
NtRp35615
(dp35616
g13
Nsg14
Nsg15
VLand use|Latvia|Liep\u0101ja
p35617
sbg8
(g9
g10
NtRp35618
(dp35619
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35620
sbg8
(g9
g10
NtRp35621
(dp35622
g13
Nsg14
Nsg15
VFALSE
p35623
sbNg8
(g9
g10
NtRp35624
(dp35625
g13
Nsg14
Nsg15
VFALSE
p35626
sbNNNNNNNg8
(g9
g10
NtRp35627
(dp35628
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35629
(dp35630
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35631
(dp35632
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-lv002l_liepaja_2005-2007
p35633
sbNg8
(g9
g10
NtRp35634
(dp35635
g13
Nsg14
Nsg15
Vobsolete
p35636
sbtp35637
a(g8
(g9
g10
NtRp35638
(dp35639
g13
Nsg14
Nsg15
V71915f31-9e44-4b17-9d25-e04ed9dc49ae
p35640
sbNg8
(g9
g10
NtRp35641
(dp35642
g13
Nsg14
Nsg15
VUrban Atlas - France - Poitiers
p35643
sbNNNNNg8
(g9
g10
NtRp35644
(dp35645
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35646
sbg8
(g23
g10
NtRp35647
(dp35648
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35649
sbNg8
(g9
g10
NtRp35650
(dp35651
g13
Nsg14
Nsg15
VFALSE
p35652
sbNNNg8
(g9
g10
NtRp35653
(dp35654
g13
Nsg14
Nsg15
VFALSE
p35655
sbNNg8
(g9
g10
NtRp35656
(dp35657
g13
Nsg14
Nsg15
VFALSE
p35658
sbNNg8
(g9
g10
NtRp35659
(dp35660
g13
Nsg14
Nsg15
VFALSE
p35661
sbNg8
(g9
g10
NtRp35662
(dp35663
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/71915f31-9e44-4b17-9d25-e04ed9dc49ae.png
p35664
sbNg8
(g9
g10
NtRp35665
(dp35666
g13
Nsg14
Nsg15
V2019-06-04
p35667
sbNNg8
(g9
g10
NtRp35668
(dp35669
g13
Nsg14
Nsg15
Vland use|urban area
p35670
sbg8
(g9
g10
NtRp35671
(dp35672
g13
Nsg14
Nsg15
Vvector
p35673
sbg8
(g9
g10
NtRp35674
(dp35675
g13
Nsg14
Nsg15
VSHP
p35676
sbNg8
(g9
g10
NtRp35677
(dp35678
g13
Nsg14
Nsg15
V1:10000
p35679
sbNg8
(g9
g10
NtRp35680
(dp35681
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50372550510091125381B8 (PS) (Date: 2005/10/09) \u000a                      * Spot 5 2,50 m - 50382560509191110421B1 (PS) (Date: 2005/09/19)
p35682
sbg8
(g9
g10
NtRp35683
(dp35684
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71915f31-9e44-4b17-9d25-e04ed9dc49ae
p35685
sbg8
(g9
g10
NtRp35686
(dp35687
g13
Nsg14
g74
sg15
V2005
p35688
sbg8
(g9
g10
NtRp35689
(dp35690
g13
Nsg14
g74
sg15
V2005
p35691
sbg8
(g9
g10
NtRp35692
(dp35693
g13
Nsg14
Nsg15
VFALSE
p35694
sbg8
(g9
g10
NtRp35695
(dp35696
g13
Nsg14
Nsg15
VFrance|Land use|Poitiers
p35697
sbg8
(g9
g10
NtRp35698
(dp35699
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35700
sbg8
(g9
g10
NtRp35701
(dp35702
g13
Nsg14
Nsg15
VFALSE
p35703
sbNg8
(g9
g10
NtRp35704
(dp35705
g13
Nsg14
Nsg15
VFALSE
p35706
sbNNNNNNNg8
(g9
g10
NtRp35707
(dp35708
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35709
(dp35710
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35711
(dp35712
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-fr021l_poitiers_2005
p35713
sbNg8
(g9
g10
NtRp35714
(dp35715
g13
Nsg14
Nsg15
Vobsolete
p35716
sbtp35717
a(g8
(g9
g10
NtRp35718
(dp35719
g13
Nsg14
Nsg15
V2b6f428c-c39a-4301-9bd3-667e16ae5284
p35720
sbNg8
(g9
g10
NtRp35721
(dp35722
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Oviedo
p35723
sbNNNNNg8
(g9
g10
NtRp35724
(dp35725
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35726
sbg8
(g23
g10
NtRp35727
(dp35728
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35729
sbNg8
(g9
g10
NtRp35730
(dp35731
g13
Nsg14
Nsg15
VFALSE
p35732
sbNNNg8
(g9
g10
NtRp35733
(dp35734
g13
Nsg14
Nsg15
VFALSE
p35735
sbNNg8
(g9
g10
NtRp35736
(dp35737
g13
Nsg14
Nsg15
VFALSE
p35738
sbNNg8
(g9
g10
NtRp35739
(dp35740
g13
Nsg14
Nsg15
VFALSE
p35741
sbNg8
(g9
g10
NtRp35742
(dp35743
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b6f428c-c39a-4301-9bd3-667e16ae5284.png
p35744
sbNg8
(g9
g10
NtRp35745
(dp35746
g13
Nsg14
Nsg15
V2019-06-04
p35747
sbNNg8
(g9
g10
NtRp35748
(dp35749
g13
Nsg14
Nsg15
Vland use|urban area
p35750
sbg8
(g9
g10
NtRp35751
(dp35752
g13
Nsg14
Nsg15
Vvector
p35753
sbg8
(g9
g10
NtRp35754
(dp35755
g13
Nsg14
Nsg15
VSHP
p35756
sbNg8
(g9
g10
NtRp35757
(dp35758
g13
Nsg14
Nsg15
V1:10000
p35759
sbNg8
(g9
g10
NtRp35760
(dp35761
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50272630610281142251B0 (PS) (Date: 2006/10/28) \u000a                      * Spot 5 2,50 m - 50282620709051138341B6 (PS) (Date: 2007/09/05)
p35762
sbg8
(g9
g10
NtRp35763
(dp35764
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b6f428c-c39a-4301-9bd3-667e16ae5284
p35765
sbg8
(g9
g10
NtRp35766
(dp35767
g13
Nsg14
g74
sg15
V2006
p35768
sbg8
(g9
g10
NtRp35769
(dp35770
g13
Nsg14
g74
sg15
V2007
p35771
sbg8
(g9
g10
NtRp35772
(dp35773
g13
Nsg14
Nsg15
VTRUE
p35774
sbg8
(g9
g10
NtRp35775
(dp35776
g13
Nsg14
Nsg15
VLand use|Oviedo|Spain
p35777
sbg8
(g9
g10
NtRp35778
(dp35779
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35780
sbg8
(g9
g10
NtRp35781
(dp35782
g13
Nsg14
Nsg15
VFALSE
p35783
sbNg8
(g9
g10
NtRp35784
(dp35785
g13
Nsg14
Nsg15
VFALSE
p35786
sbNNNNNNNg8
(g9
g10
NtRp35787
(dp35788
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35789
(dp35790
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35791
(dp35792
g13
Nsg14
Nsg15
Vregio_v_32629_10_k_urban-atlas-es013l_oviedo_2006-2007
p35793
sbNg8
(g9
g10
NtRp35794
(dp35795
g13
Nsg14
Nsg15
Vobsolete
p35796
sbtp35797
a(g8
(g9
g10
NtRp35798
(dp35799
g13
Nsg14
Nsg15
V417445aa-2135-470a-9dd7-70c3b6b51bf6
p35800
sbNg8
(g9
g10
NtRp35801
(dp35802
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Bac\u0103u
p35803
sbNNNNNg8
(g9
g10
NtRp35804
(dp35805
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35806
sbg8
(g23
g10
NtRp35807
(dp35808
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35809
sbNg8
(g9
g10
NtRp35810
(dp35811
g13
Nsg14
Nsg15
VFALSE
p35812
sbNNNg8
(g9
g10
NtRp35813
(dp35814
g13
Nsg14
Nsg15
VFALSE
p35815
sbNNg8
(g9
g10
NtRp35816
(dp35817
g13
Nsg14
Nsg15
VFALSE
p35818
sbNNg8
(g9
g10
NtRp35819
(dp35820
g13
Nsg14
Nsg15
VFALSE
p35821
sbNg8
(g9
g10
NtRp35822
(dp35823
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/417445aa-2135-470a-9dd7-70c3b6b51bf6.png
p35824
sbNg8
(g9
g10
NtRp35825
(dp35826
g13
Nsg14
Nsg15
V2019-06-04
p35827
sbNNg8
(g9
g10
NtRp35828
(dp35829
g13
Nsg14
Nsg15
Vland use|urban area
p35830
sbg8
(g9
g10
NtRp35831
(dp35832
g13
Nsg14
Nsg15
Vvector
p35833
sbg8
(g9
g10
NtRp35834
(dp35835
g13
Nsg14
Nsg15
VSHP
p35836
sbNg8
(g9
g10
NtRp35837
(dp35838
g13
Nsg14
Nsg15
V1:10000
p35839
sbNg8
(g9
g10
NtRp35840
(dp35841
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50912560610200913302B0 (PS) (Date: 2006/10/20) \u000a                      * Spot 5 2,50 m - 50932560610050901571B0 (PS) (Date: 2005/10/06)
p35842
sbg8
(g9
g10
NtRp35843
(dp35844
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/417445aa-2135-470a-9dd7-70c3b6b51bf6
p35845
sbg8
(g9
g10
NtRp35846
(dp35847
g13
Nsg14
g74
sg15
V2005
p35848
sbg8
(g9
g10
NtRp35849
(dp35850
g13
Nsg14
g74
sg15
V2006
p35851
sbg8
(g9
g10
NtRp35852
(dp35853
g13
Nsg14
Nsg15
VTRUE
p35854
sbg8
(g9
g10
NtRp35855
(dp35856
g13
Nsg14
Nsg15
VBac\u0103u|Land use|Romania
p35857
sbg8
(g9
g10
NtRp35858
(dp35859
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35860
sbg8
(g9
g10
NtRp35861
(dp35862
g13
Nsg14
Nsg15
VFALSE
p35863
sbNg8
(g9
g10
NtRp35864
(dp35865
g13
Nsg14
Nsg15
VFALSE
p35866
sbNNNNNNNg8
(g9
g10
NtRp35867
(dp35868
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35869
(dp35870
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35871
(dp35872
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro007l_bacau_2005-2006
p35873
sbNg8
(g9
g10
NtRp35874
(dp35875
g13
Nsg14
Nsg15
Vobsolete
p35876
sbtp35877
a(g8
(g9
g10
NtRp35878
(dp35879
g13
Nsg14
Nsg15
Vbc427c53-0244-4e38-8a71-6a49328511c2
p35880
sbNg8
(g9
g10
NtRp35881
(dp35882
g13
Nsg14
Nsg15
VUrban Atlas - Greece - Thessaloniki (\u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7)
p35883
sbNNNNNg8
(g9
g10
NtRp35884
(dp35885
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35886
sbg8
(g23
g10
NtRp35887
(dp35888
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35889
sbNg8
(g9
g10
NtRp35890
(dp35891
g13
Nsg14
Nsg15
VFALSE
p35892
sbNNNg8
(g9
g10
NtRp35893
(dp35894
g13
Nsg14
Nsg15
VFALSE
p35895
sbNNg8
(g9
g10
NtRp35896
(dp35897
g13
Nsg14
Nsg15
VFALSE
p35898
sbNNg8
(g9
g10
NtRp35899
(dp35900
g13
Nsg14
Nsg15
VFALSE
p35901
sbNg8
(g9
g10
NtRp35902
(dp35903
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc427c53-0244-4e38-8a71-6a49328511c2.png
p35904
sbNg8
(g9
g10
NtRp35905
(dp35906
g13
Nsg14
Nsg15
V2019-06-04
p35907
sbNNg8
(g9
g10
NtRp35908
(dp35909
g13
Nsg14
Nsg15
Vland use|urban area
p35910
sbg8
(g9
g10
NtRp35911
(dp35912
g13
Nsg14
Nsg15
Vvector
p35913
sbg8
(g9
g10
NtRp35914
(dp35915
g13
Nsg14
Nsg15
VSHP
p35916
sbNg8
(g9
g10
NtRp35917
(dp35918
g13
Nsg14
Nsg15
V1:10000
p35919
sbNg8
(g9
g10
NtRp35920
(dp35921
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784043( XS) (Date: 2006/08/29) \u000a                      * Spot 5 2,50 m - 00182784044 (XS) (Date: 2006/11/09) \u000a                      * Spot 5 2,50 m - 00182793043 (P) (Date: 2006/08/29) \u000a                      * Spot 5 2,50 m - 00182793044 (P) (Date: 2006/11/09)
p35922
sbg8
(g9
g10
NtRp35923
(dp35924
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc427c53-0244-4e38-8a71-6a49328511c2
p35925
sbg8
(g9
g10
NtRp35926
(dp35927
g13
Nsg14
g74
sg15
V2006
p35928
sbg8
(g9
g10
NtRp35929
(dp35930
g13
Nsg14
g74
sg15
V2006
p35931
sbg8
(g9
g10
NtRp35932
(dp35933
g13
Nsg14
Nsg15
VFALSE
p35934
sbg8
(g9
g10
NtRp35935
(dp35936
g13
Nsg14
Nsg15
VGreece|Land use|Thessaloniki
p35937
sbg8
(g9
g10
NtRp35938
(dp35939
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p35940
sbg8
(g9
g10
NtRp35941
(dp35942
g13
Nsg14
Nsg15
VFALSE
p35943
sbNg8
(g9
g10
NtRp35944
(dp35945
g13
Nsg14
Nsg15
VFALSE
p35946
sbNNNNNNNg8
(g9
g10
NtRp35947
(dp35948
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp35949
(dp35950
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp35951
(dp35952
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-gr002l_thessaloniki_2006
p35953
sbNg8
(g9
g10
NtRp35954
(dp35955
g13
Nsg14
Nsg15
Vobsolete
p35956
sbtp35957
a(g8
(g9
g10
NtRp35958
(dp35959
g13
Nsg14
Nsg15
Vd7103068-8cf2-4b9a-891a-4f0552915f78
p35960
sbNg8
(g9
g10
NtRp35961
(dp35962
g13
Nsg14
Nsg15
VUrban Atlas - Germany - Freiburg (Freiburg im Breisgau)
p35963
sbNNNNNg8
(g9
g10
NtRp35964
(dp35965
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p35966
sbg8
(g23
g10
NtRp35967
(dp35968
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p35969
sbNg8
(g9
g10
NtRp35970
(dp35971
g13
Nsg14
Nsg15
VFALSE
p35972
sbNNNg8
(g9
g10
NtRp35973
(dp35974
g13
Nsg14
Nsg15
VFALSE
p35975
sbNNg8
(g9
g10
NtRp35976
(dp35977
g13
Nsg14
Nsg15
VFALSE
p35978
sbNNg8
(g9
g10
NtRp35979
(dp35980
g13
Nsg14
Nsg15
VFALSE
p35981
sbNg8
(g9
g10
NtRp35982
(dp35983
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d7103068-8cf2-4b9a-891a-4f0552915f78.png
p35984
sbNg8
(g9
g10
NtRp35985
(dp35986
g13
Nsg14
Nsg15
V2019-06-04
p35987
sbNNg8
(g9
g10
NtRp35988
(dp35989
g13
Nsg14
Nsg15
Vland use|urban area
p35990
sbg8
(g9
g10
NtRp35991
(dp35992
g13
Nsg14
Nsg15
Vvector
p35993
sbg8
(g9
g10
NtRp35994
(dp35995
g13
Nsg14
Nsg15
VSHP
p35996
sbNg8
(g9
g10
NtRp35997
(dp35998
g13
Nsg14
Nsg15
V1:10000
p35999
sbNg8
(g9
g10
NtRp36000
(dp36001
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50512520709131042331B6 (P) (Date: 2007/09/13) \u000a                      * Spot 5 2,50 m - 50512520709131042331B8 (P) (Date: 2007/09/13) \u000a                      * Spot 5 2,50 m - 50532520508051035452B5 (P) (Date: 2005/08/05) \u000a                      * Spot 5 2,50 m - 50532530509251054242B0 (P) (Date: 2005/09/25) \u000a                      * Spot 5 2,50 m - 50532530609211011491B7 (P) (Date: 2006/09/21) \u000a                      * ALOS 10 m - AL_AV2_X_20070419_100820_DLR_6569_PRUTM (XS) (Date: 2007/04/19) \u000a                      * ALOS 2,50 m - AL_PSM_P_20061008_103455_DLR_3754_PRUTM (P) (Date: 2006/10/08) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070624_103346_DLR_7532_PRUTM (P) (Date: 2007/06/24) \u000a                      * ALOS 2,50 m - AL_PSM_P_20070624_103350_DLR_7532_PRUTM (P) (Date: 2007/06/24) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_103047_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20080511_103052_DLR_12229_PRUTM (P) (Date: 2008/05/11) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103631_DLR_17174_PRUTM (P) (Date: 2009/04/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103635_DLR_17174_PRUTM (P) (Date: 2009/04/15) \u000a                      * ALOS 2,50 m - AL_PSM_P_20090415_103639_DLR_17174_PRUTM (P) (Date: 2009/04/15)
p36002
sbg8
(g9
g10
NtRp36003
(dp36004
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d7103068-8cf2-4b9a-891a-4f0552915f78
p36005
sbg8
(g9
g10
NtRp36006
(dp36007
g13
Nsg14
g74
sg15
V2005
p36008
sbg8
(g9
g10
NtRp36009
(dp36010
g13
Nsg14
g74
sg15
V2009
p36011
sbg8
(g9
g10
NtRp36012
(dp36013
g13
Nsg14
Nsg15
VTRUE
p36014
sbg8
(g9
g10
NtRp36015
(dp36016
g13
Nsg14
Nsg15
VFreiburg|Germany|Land use
p36017
sbg8
(g9
g10
NtRp36018
(dp36019
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36020
sbg8
(g9
g10
NtRp36021
(dp36022
g13
Nsg14
Nsg15
VFALSE
p36023
sbNg8
(g9
g10
NtRp36024
(dp36025
g13
Nsg14
Nsg15
VFALSE
p36026
sbNNNNNNNg8
(g9
g10
NtRp36027
(dp36028
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36029
(dp36030
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36031
(dp36032
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-de027l_freiburg_im_breisgau_2005-2009
p36033
sbNg8
(g9
g10
NtRp36034
(dp36035
g13
Nsg14
Nsg15
Vobsolete
p36036
sbtp36037
a(g8
(g9
g10
NtRp36038
(dp36039
g13
Nsg14
Nsg15
V9346a4a7-1377-4e48-bedd-23653caf2685
p36040
sbNg8
(g9
g10
NtRp36041
(dp36042
g13
Nsg14
Nsg15
VUrban Atlas - Austria - Graz
p36043
sbNNNNNg8
(g9
g10
NtRp36044
(dp36045
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36046
sbg8
(g23
g10
NtRp36047
(dp36048
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36049
sbNg8
(g9
g10
NtRp36050
(dp36051
g13
Nsg14
Nsg15
VFALSE
p36052
sbNNNg8
(g9
g10
NtRp36053
(dp36054
g13
Nsg14
Nsg15
VFALSE
p36055
sbNNg8
(g9
g10
NtRp36056
(dp36057
g13
Nsg14
Nsg15
VFALSE
p36058
sbNNg8
(g9
g10
NtRp36059
(dp36060
g13
Nsg14
Nsg15
VFALSE
p36061
sbNg8
(g9
g10
NtRp36062
(dp36063
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9346a4a7-1377-4e48-bedd-23653caf2685.png
p36064
sbNg8
(g9
g10
NtRp36065
(dp36066
g13
Nsg14
Nsg15
V2019-06-04
p36067
sbNNg8
(g9
g10
NtRp36068
(dp36069
g13
Nsg14
Nsg15
Vland use|urban area
p36070
sbg8
(g9
g10
NtRp36071
(dp36072
g13
Nsg14
Nsg15
Vvector
p36073
sbg8
(g9
g10
NtRp36074
(dp36075
g13
Nsg14
Nsg15
VSHP
p36076
sbNg8
(g9
g10
NtRp36077
(dp36078
g13
Nsg14
Nsg15
V1:10000
p36079
sbNg8
(g9
g10
NtRp36080
(dp36081
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800015 (PS) (Date: 2006/07/21) \u000a                      * Spot 5 2,50 m - 00182800037 (PS) (Date: 2007/08/05) \u000a                      * Spot 5 2,50 m - 00182800042 (PS) (Date: 2007/10/17)
p36082
sbg8
(g9
g10
NtRp36083
(dp36084
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9346a4a7-1377-4e48-bedd-23653caf2685
p36085
sbg8
(g9
g10
NtRp36086
(dp36087
g13
Nsg14
g74
sg15
V2006
p36088
sbg8
(g9
g10
NtRp36089
(dp36090
g13
Nsg14
g74
sg15
V2007
p36091
sbg8
(g9
g10
NtRp36092
(dp36093
g13
Nsg14
Nsg15
VTRUE
p36094
sbg8
(g9
g10
NtRp36095
(dp36096
g13
Nsg14
Nsg15
VAustria|Graz|Land use
p36097
sbg8
(g9
g10
NtRp36098
(dp36099
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36100
sbg8
(g9
g10
NtRp36101
(dp36102
g13
Nsg14
Nsg15
VFALSE
p36103
sbNg8
(g9
g10
NtRp36104
(dp36105
g13
Nsg14
Nsg15
VFALSE
p36106
sbNNNNNNNg8
(g9
g10
NtRp36107
(dp36108
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36109
(dp36110
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36111
(dp36112
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-at002l_graz_2006-2007
p36113
sbNg8
(g9
g10
NtRp36114
(dp36115
g13
Nsg14
Nsg15
Vobsolete
p36116
sbtp36117
a(g8
(g9
g10
NtRp36118
(dp36119
g13
Nsg14
Nsg15
V13000f8a-efb9-49a8-aa0d-8a004809e52d
p36120
sbNg8
(g9
g10
NtRp36121
(dp36122
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Bilbao
p36123
sbNNNNNg8
(g9
g10
NtRp36124
(dp36125
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36126
sbg8
(g23
g10
NtRp36127
(dp36128
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36129
sbNg8
(g9
g10
NtRp36130
(dp36131
g13
Nsg14
Nsg15
VFALSE
p36132
sbNNNg8
(g9
g10
NtRp36133
(dp36134
g13
Nsg14
Nsg15
VFALSE
p36135
sbNNg8
(g9
g10
NtRp36136
(dp36137
g13
Nsg14
Nsg15
VFALSE
p36138
sbNNg8
(g9
g10
NtRp36139
(dp36140
g13
Nsg14
Nsg15
VFALSE
p36141
sbNg8
(g9
g10
NtRp36142
(dp36143
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/13000f8a-efb9-49a8-aa0d-8a004809e52d.png
p36144
sbNg8
(g9
g10
NtRp36145
(dp36146
g13
Nsg14
Nsg15
V2019-06-04
p36147
sbNNg8
(g9
g10
NtRp36148
(dp36149
g13
Nsg14
Nsg15
Vland use|urban area
p36150
sbg8
(g9
g10
NtRp36151
(dp36152
g13
Nsg14
Nsg15
Vvector
p36153
sbg8
(g9
g10
NtRp36154
(dp36155
g13
Nsg14
Nsg15
VSHP
p36156
sbNg8
(g9
g10
NtRp36157
(dp36158
g13
Nsg14
Nsg15
V1:10000
p36159
sbNg8
(g9
g10
NtRp36160
(dp36161
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538005 (PS) (Date: 2005/07/13) \u000a                      * Spot 5 2,50 m - 00183538011 (PS) (Date: 2005/08/13)
p36162
sbg8
(g9
g10
NtRp36163
(dp36164
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13000f8a-efb9-49a8-aa0d-8a004809e52d
p36165
sbg8
(g9
g10
NtRp36166
(dp36167
g13
Nsg14
g74
sg15
V2005
p36168
sbg8
(g9
g10
NtRp36169
(dp36170
g13
Nsg14
g74
sg15
V2005
p36171
sbg8
(g9
g10
NtRp36172
(dp36173
g13
Nsg14
Nsg15
VFALSE
p36174
sbg8
(g9
g10
NtRp36175
(dp36176
g13
Nsg14
Nsg15
VBilbao|Land use|Spain
p36177
sbg8
(g9
g10
NtRp36178
(dp36179
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36180
sbg8
(g9
g10
NtRp36181
(dp36182
g13
Nsg14
Nsg15
VFALSE
p36183
sbNg8
(g9
g10
NtRp36184
(dp36185
g13
Nsg14
Nsg15
VFALSE
p36186
sbNNNNNNNg8
(g9
g10
NtRp36187
(dp36188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36189
(dp36190
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36191
(dp36192
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es019l_bilbao_2005
p36193
sbNg8
(g9
g10
NtRp36194
(dp36195
g13
Nsg14
Nsg15
Vobsolete
p36196
sbtp36197
a(g8
(g9
g10
NtRp36198
(dp36199
g13
Nsg14
Nsg15
V2c329471-1e6f-4ff8-9785-3dcffcf311d3
p36200
sbNg8
(g9
g10
NtRp36201
(dp36202
g13
Nsg14
Nsg15
VUrban Atlas - Slovakia - Ko\u0161ice
p36203
sbNNNNNg8
(g9
g10
NtRp36204
(dp36205
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36206
sbg8
(g23
g10
NtRp36207
(dp36208
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36209
sbNg8
(g9
g10
NtRp36210
(dp36211
g13
Nsg14
Nsg15
VFALSE
p36212
sbNNNg8
(g9
g10
NtRp36213
(dp36214
g13
Nsg14
Nsg15
VFALSE
p36215
sbNNg8
(g9
g10
NtRp36216
(dp36217
g13
Nsg14
Nsg15
VFALSE
p36218
sbNNg8
(g9
g10
NtRp36219
(dp36220
g13
Nsg14
Nsg15
VFALSE
p36221
sbNg8
(g9
g10
NtRp36222
(dp36223
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2c329471-1e6f-4ff8-9785-3dcffcf311d3.png
p36224
sbNg8
(g9
g10
NtRp36225
(dp36226
g13
Nsg14
Nsg15
V2019-06-04
p36227
sbNNg8
(g9
g10
NtRp36228
(dp36229
g13
Nsg14
Nsg15
Vland use|urban area
p36230
sbg8
(g9
g10
NtRp36231
(dp36232
g13
Nsg14
Nsg15
Vvector
p36233
sbg8
(g9
g10
NtRp36234
(dp36235
g13
Nsg14
Nsg15
VSHP
p36236
sbNg8
(g9
g10
NtRp36237
(dp36238
g13
Nsg14
Nsg15
V1:10000
p36239
sbNg8
(g9
g10
NtRp36240
(dp36241
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182800036 (PS) (Date: 2007/07/21)
p36242
sbg8
(g9
g10
NtRp36243
(dp36244
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c329471-1e6f-4ff8-9785-3dcffcf311d3
p36245
sbg8
(g9
g10
NtRp36246
(dp36247
g13
Nsg14
g74
sg15
V2007
p36248
sbg8
(g9
g10
NtRp36249
(dp36250
g13
Nsg14
g74
sg15
V2007
p36251
sbg8
(g9
g10
NtRp36252
(dp36253
g13
Nsg14
Nsg15
VFALSE
p36254
sbg8
(g9
g10
NtRp36255
(dp36256
g13
Nsg14
Nsg15
VKo\u0161ice|Land use|Slovakia
p36257
sbg8
(g9
g10
NtRp36258
(dp36259
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36260
sbg8
(g9
g10
NtRp36261
(dp36262
g13
Nsg14
Nsg15
VFALSE
p36263
sbNg8
(g9
g10
NtRp36264
(dp36265
g13
Nsg14
Nsg15
VFALSE
p36266
sbNNNNNNNg8
(g9
g10
NtRp36267
(dp36268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36269
(dp36270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36271
(dp36272
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-sk002l_kosice_2007
p36273
sbNg8
(g9
g10
NtRp36274
(dp36275
g13
Nsg14
Nsg15
Vobsolete
p36276
sbtp36277
a(g8
(g9
g10
NtRp36278
(dp36279
g13
Nsg14
Nsg15
V41b1c84b-b6b0-4c2c-9669-f22d2a402273
p36280
sbNg8
(g9
g10
NtRp36281
(dp36282
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Arnhem
p36283
sbNNNNNg8
(g9
g10
NtRp36284
(dp36285
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36286
sbg8
(g23
g10
NtRp36287
(dp36288
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36289
sbNg8
(g9
g10
NtRp36290
(dp36291
g13
Nsg14
Nsg15
VFALSE
p36292
sbNNNg8
(g9
g10
NtRp36293
(dp36294
g13
Nsg14
Nsg15
VFALSE
p36295
sbNNg8
(g9
g10
NtRp36296
(dp36297
g13
Nsg14
Nsg15
VFALSE
p36298
sbNNg8
(g9
g10
NtRp36299
(dp36300
g13
Nsg14
Nsg15
VFALSE
p36301
sbNg8
(g9
g10
NtRp36302
(dp36303
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/41b1c84b-b6b0-4c2c-9669-f22d2a402273.png
p36304
sbNg8
(g9
g10
NtRp36305
(dp36306
g13
Nsg14
Nsg15
V2019-06-04
p36307
sbNNg8
(g9
g10
NtRp36308
(dp36309
g13
Nsg14
Nsg15
Vland use|urban area
p36310
sbg8
(g9
g10
NtRp36311
(dp36312
g13
Nsg14
Nsg15
Vvector
p36313
sbg8
(g9
g10
NtRp36314
(dp36315
g13
Nsg14
Nsg15
VSHP
p36316
sbNg8
(g9
g10
NtRp36317
(dp36318
g13
Nsg14
Nsg15
V1:10000
p36319
sbNg8
(g9
g10
NtRp36320
(dp36321
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50422440510101104431B8 (PS) (Date: 2005/10/10) \u000a                      * Spot 5 2,50 m - 50452440607181100471B1 (PS) (Date: 2006/07/18) \u000a                      * Spot 5 2,50 m - 50452450507141058272B0 (PS) (Date: 2005/07/14)
p36322
sbg8
(g9
g10
NtRp36323
(dp36324
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41b1c84b-b6b0-4c2c-9669-f22d2a402273
p36325
sbg8
(g9
g10
NtRp36326
(dp36327
g13
Nsg14
g74
sg15
V2005
p36328
sbg8
(g9
g10
NtRp36329
(dp36330
g13
Nsg14
g74
sg15
V2006
p36331
sbg8
(g9
g10
NtRp36332
(dp36333
g13
Nsg14
Nsg15
VTRUE
p36334
sbg8
(g9
g10
NtRp36335
(dp36336
g13
Nsg14
Nsg15
VArnhem|Land use|Netherlands
p36337
sbg8
(g9
g10
NtRp36338
(dp36339
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36340
sbg8
(g9
g10
NtRp36341
(dp36342
g13
Nsg14
Nsg15
VFALSE
p36343
sbNg8
(g9
g10
NtRp36344
(dp36345
g13
Nsg14
Nsg15
VFALSE
p36346
sbNNNNNNNg8
(g9
g10
NtRp36347
(dp36348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36349
(dp36350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36351
(dp36352
g13
Nsg14
Nsg15
Vregio_v_32632_10_k_urban-atlas-nl009l_arnhem_2005-2006
p36353
sbNg8
(g9
g10
NtRp36354
(dp36355
g13
Nsg14
Nsg15
Vobsolete
p36356
sbtp36357
a(g8
(g9
g10
NtRp36358
(dp36359
g13
Nsg14
Nsg15
V14fccfd6-ca6c-4956-9eaf-af3607ca3290
p36360
sbNg8
(g9
g10
NtRp36361
(dp36362
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Gy\u0151r
p36363
sbNNNNNg8
(g9
g10
NtRp36364
(dp36365
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36366
sbg8
(g23
g10
NtRp36367
(dp36368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36369
sbNg8
(g9
g10
NtRp36370
(dp36371
g13
Nsg14
Nsg15
VFALSE
p36372
sbNNNg8
(g9
g10
NtRp36373
(dp36374
g13
Nsg14
Nsg15
VFALSE
p36375
sbNNg8
(g9
g10
NtRp36376
(dp36377
g13
Nsg14
Nsg15
VFALSE
p36378
sbNNg8
(g9
g10
NtRp36379
(dp36380
g13
Nsg14
Nsg15
VFALSE
p36381
sbNg8
(g9
g10
NtRp36382
(dp36383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/14fccfd6-ca6c-4956-9eaf-af3607ca3290.png
p36384
sbNg8
(g9
g10
NtRp36385
(dp36386
g13
Nsg14
Nsg15
V2019-06-04
p36387
sbNNg8
(g9
g10
NtRp36388
(dp36389
g13
Nsg14
Nsg15
Vland use|urban area
p36390
sbg8
(g9
g10
NtRp36391
(dp36392
g13
Nsg14
Nsg15
Vvector
p36393
sbg8
(g9
g10
NtRp36394
(dp36395
g13
Nsg14
Nsg15
VSHP
p36396
sbNg8
(g9
g10
NtRp36397
(dp36398
g13
Nsg14
Nsg15
V1:10000
p36399
sbNg8
(g9
g10
NtRp36400
(dp36401
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00186394044 (PS) (Date: 2007/09/25)
p36402
sbg8
(g9
g10
NtRp36403
(dp36404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14fccfd6-ca6c-4956-9eaf-af3607ca3290
p36405
sbg8
(g9
g10
NtRp36406
(dp36407
g13
Nsg14
g74
sg15
V2007
p36408
sbg8
(g9
g10
NtRp36409
(dp36410
g13
Nsg14
g74
sg15
V2007
p36411
sbg8
(g9
g10
NtRp36412
(dp36413
g13
Nsg14
Nsg15
VFALSE
p36414
sbg8
(g9
g10
NtRp36415
(dp36416
g13
Nsg14
Nsg15
VGy\u0151r|Hungary|Land use
p36417
sbg8
(g9
g10
NtRp36418
(dp36419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36420
sbg8
(g9
g10
NtRp36421
(dp36422
g13
Nsg14
Nsg15
VFALSE
p36423
sbNg8
(g9
g10
NtRp36424
(dp36425
g13
Nsg14
Nsg15
VFALSE
p36426
sbNNNNNNNg8
(g9
g10
NtRp36427
(dp36428
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36429
(dp36430
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36431
(dp36432
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-hu007l_gyor_2007
p36433
sbNg8
(g9
g10
NtRp36434
(dp36435
g13
Nsg14
Nsg15
Vobsolete
p36436
sbtp36437
a(g8
(g9
g10
NtRp36438
(dp36439
g13
Nsg14
Nsg15
Ve549116c-8b28-449e-9be8-5b3378c35d2d
p36440
sbNg8
(g9
g10
NtRp36441
(dp36442
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Liverpool
p36443
sbNNNNNg8
(g9
g10
NtRp36444
(dp36445
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36446
sbg8
(g23
g10
NtRp36447
(dp36448
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36449
sbNg8
(g9
g10
NtRp36450
(dp36451
g13
Nsg14
Nsg15
VFALSE
p36452
sbNNNg8
(g9
g10
NtRp36453
(dp36454
g13
Nsg14
Nsg15
VFALSE
p36455
sbNNg8
(g9
g10
NtRp36456
(dp36457
g13
Nsg14
Nsg15
VFALSE
p36458
sbNNg8
(g9
g10
NtRp36459
(dp36460
g13
Nsg14
Nsg15
VFALSE
p36461
sbNg8
(g9
g10
NtRp36462
(dp36463
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e549116c-8b28-449e-9be8-5b3378c35d2d.png
p36464
sbNg8
(g9
g10
NtRp36465
(dp36466
g13
Nsg14
Nsg15
V2019-06-04
p36467
sbNNg8
(g9
g10
NtRp36468
(dp36469
g13
Nsg14
Nsg15
Vland use|urban area
p36470
sbg8
(g9
g10
NtRp36471
(dp36472
g13
Nsg14
Nsg15
Vvector
p36473
sbg8
(g9
g10
NtRp36474
(dp36475
g13
Nsg14
Nsg15
VSHP
p36476
sbNg8
(g9
g10
NtRp36477
(dp36478
g13
Nsg14
Nsg15
V1:10000
p36479
sbNg8
(g9
g10
NtRp36480
(dp36481
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 06JUL15113846-M1BS-052239075020_01_P006 (PS) (Date: 2006/07/15) \u000a                      * Spot 5 2,50 m - 06JUL15113847-M1BS-052239075020_01_P004 (PS) (Date: 2006/07/15) \u000a                      * Spot 5 2,50 m - 06JUL15113850-M1BS-052239075020_01_P005 (PS) (Date: 2006/07/15) \u000a                      * Spot 5 2,50 m - 08FEB06114639-M1BS-052239075020_01_P001 (PS) (Date: 2008/02/06) \u000a                      * Spot 5 2,50 m - 08FEB06114642-M1BS-052239075020_01_P002 (PS) (Date: 2008/02/06) \u000a                      * Spot 5 2,50 m - 08FEB06114645-M1BS-052239075010_01_P001 (PS) (Date: 2008/02/06) \u000a                      * Spot 5 2,50 m - 08FEB06114645-M1BS-052239075020_01_P003 (PS) (Date: 2008/02/06) \u000a                      * Spot 5 2,50 m - 50252411003041119552B3 (PS) (Date: 2010/03/04)
p36482
sbg8
(g9
g10
NtRp36483
(dp36484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e549116c-8b28-449e-9be8-5b3378c35d2d
p36485
sbg8
(g9
g10
NtRp36486
(dp36487
g13
Nsg14
g74
sg15
V2006
p36488
sbg8
(g9
g10
NtRp36489
(dp36490
g13
Nsg14
g74
sg15
V2010
p36491
sbg8
(g9
g10
NtRp36492
(dp36493
g13
Nsg14
Nsg15
VTRUE
p36494
sbg8
(g9
g10
NtRp36495
(dp36496
g13
Nsg14
Nsg15
VLand use|Liverpool|United Kingdom
p36497
sbg8
(g9
g10
NtRp36498
(dp36499
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36500
sbg8
(g9
g10
NtRp36501
(dp36502
g13
Nsg14
Nsg15
VFALSE
p36503
sbNg8
(g9
g10
NtRp36504
(dp36505
g13
Nsg14
Nsg15
VFALSE
p36506
sbNNNNNNNg8
(g9
g10
NtRp36507
(dp36508
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36509
(dp36510
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36511
(dp36512
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk006l_liverpool_2006-2010
p36513
sbNg8
(g9
g10
NtRp36514
(dp36515
g13
Nsg14
Nsg15
Vobsolete
p36516
sbtp36517
a(g8
(g9
g10
NtRp36518
(dp36519
g13
Nsg14
Nsg15
V71b022eb-0ed7-4c3f-853b-5c08eb8b777d
p36520
sbNg8
(g9
g10
NtRp36521
(dp36522
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Palma de Mallorca
p36523
sbNNNNNg8
(g9
g10
NtRp36524
(dp36525
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36526
sbg8
(g23
g10
NtRp36527
(dp36528
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36529
sbNg8
(g9
g10
NtRp36530
(dp36531
g13
Nsg14
Nsg15
VFALSE
p36532
sbNNNg8
(g9
g10
NtRp36533
(dp36534
g13
Nsg14
Nsg15
VFALSE
p36535
sbNNg8
(g9
g10
NtRp36536
(dp36537
g13
Nsg14
Nsg15
VFALSE
p36538
sbNNg8
(g9
g10
NtRp36539
(dp36540
g13
Nsg14
Nsg15
VFALSE
p36541
sbNg8
(g9
g10
NtRp36542
(dp36543
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/71b022eb-0ed7-4c3f-853b-5c08eb8b777d.png
p36544
sbNg8
(g9
g10
NtRp36545
(dp36546
g13
Nsg14
Nsg15
V2019-06-04
p36547
sbNNg8
(g9
g10
NtRp36548
(dp36549
g13
Nsg14
Nsg15
Vland use|urban area
p36550
sbg8
(g9
g10
NtRp36551
(dp36552
g13
Nsg14
Nsg15
Vvector
p36553
sbg8
(g9
g10
NtRp36554
(dp36555
g13
Nsg14
Nsg15
VSHP
p36556
sbNg8
(g9
g10
NtRp36557
(dp36558
g13
Nsg14
Nsg15
V1:10000
p36559
sbNg8
(g9
g10
NtRp36560
(dp36561
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * SPOT 5 2,50 m - 00183538006 (PS) (Date: 2005/07/14) \u000a                      * SPOT 5 2,50 m - 00183538008 (PS) (Date: 2005/07/20) \u000a                      * SPOT 5 2,50 m - 00183538009 (PS) (Date: 2005/07/31) \u000a                      * SPOT 5 2,50 m - 00183538010 (PS) (Date: 2005/08/04)
p36562
sbg8
(g9
g10
NtRp36563
(dp36564
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71b022eb-0ed7-4c3f-853b-5c08eb8b777d
p36565
sbg8
(g9
g10
NtRp36566
(dp36567
g13
Nsg14
g74
sg15
V2005
p36568
sbg8
(g9
g10
NtRp36569
(dp36570
g13
Nsg14
g74
sg15
V2005
p36571
sbg8
(g9
g10
NtRp36572
(dp36573
g13
Nsg14
Nsg15
VFALSE
p36574
sbg8
(g9
g10
NtRp36575
(dp36576
g13
Nsg14
Nsg15
VLand use|Palma de Mallorca|Spain
p36577
sbg8
(g9
g10
NtRp36578
(dp36579
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36580
sbg8
(g9
g10
NtRp36581
(dp36582
g13
Nsg14
Nsg15
VFALSE
p36583
sbNg8
(g9
g10
NtRp36584
(dp36585
g13
Nsg14
Nsg15
VFALSE
p36586
sbNNNNNNNg8
(g9
g10
NtRp36587
(dp36588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36589
(dp36590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36591
(dp36592
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-es010l_palma_di_mallorca_2005
p36593
sbNg8
(g9
g10
NtRp36594
(dp36595
g13
Nsg14
Nsg15
Vobsolete
p36596
sbtp36597
a(g8
(g9
g10
NtRp36598
(dp36599
g13
Nsg14
Nsg15
Ve48defb4-5321-498a-a706-8a01fc402782
p36600
sbNg8
(g9
g10
NtRp36601
(dp36602
g13
Nsg14
Nsg15
VUrban Atlas - Romania - Sibiu
p36603
sbNNNNNg8
(g9
g10
NtRp36604
(dp36605
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36606
sbg8
(g23
g10
NtRp36607
(dp36608
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36609
sbNg8
(g9
g10
NtRp36610
(dp36611
g13
Nsg14
Nsg15
VFALSE
p36612
sbNNNg8
(g9
g10
NtRp36613
(dp36614
g13
Nsg14
Nsg15
VFALSE
p36615
sbNNg8
(g9
g10
NtRp36616
(dp36617
g13
Nsg14
Nsg15
VFALSE
p36618
sbNNg8
(g9
g10
NtRp36619
(dp36620
g13
Nsg14
Nsg15
VFALSE
p36621
sbNg8
(g9
g10
NtRp36622
(dp36623
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e48defb4-5321-498a-a706-8a01fc402782.png
p36624
sbNg8
(g9
g10
NtRp36625
(dp36626
g13
Nsg14
Nsg15
V2019-06-04
p36627
sbNNg8
(g9
g10
NtRp36628
(dp36629
g13
Nsg14
Nsg15
Vland use|urban area
p36630
sbg8
(g9
g10
NtRp36631
(dp36632
g13
Nsg14
Nsg15
Vvector
p36633
sbg8
(g9
g10
NtRp36634
(dp36635
g13
Nsg14
Nsg15
VSHP
p36636
sbNg8
(g9
g10
NtRp36637
(dp36638
g13
Nsg14
Nsg15
V1:10000
p36639
sbNg8
(g9
g10
NtRp36640
(dp36641
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50872580708170922041B0 (PS) (Date: 2007/08/17)
p36642
sbg8
(g9
g10
NtRp36643
(dp36644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e48defb4-5321-498a-a706-8a01fc402782
p36645
sbg8
(g9
g10
NtRp36646
(dp36647
g13
Nsg14
g74
sg15
V2007
p36648
sbg8
(g9
g10
NtRp36649
(dp36650
g13
Nsg14
g74
sg15
V2007
p36651
sbg8
(g9
g10
NtRp36652
(dp36653
g13
Nsg14
Nsg15
VFALSE
p36654
sbg8
(g9
g10
NtRp36655
(dp36656
g13
Nsg14
Nsg15
VLand use|Romania|Sibiu
p36657
sbg8
(g9
g10
NtRp36658
(dp36659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36660
sbg8
(g9
g10
NtRp36661
(dp36662
g13
Nsg14
Nsg15
VFALSE
p36663
sbNg8
(g9
g10
NtRp36664
(dp36665
g13
Nsg14
Nsg15
VFALSE
p36666
sbNNNNNNNg8
(g9
g10
NtRp36667
(dp36668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36669
(dp36670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36671
(dp36672
g13
Nsg14
Nsg15
Vregio_v_32635_10_k_urban-atlas-ro009l_sibiu_2007
p36673
sbNg8
(g9
g10
NtRp36674
(dp36675
g13
Nsg14
Nsg15
Vobsolete
p36676
sbtp36677
a(g8
(g9
g10
NtRp36678
(dp36679
g13
Nsg14
Nsg15
Vc3916d45-24fe-4b4f-837b-118f45061e11
p36680
sbNg8
(g9
g10
NtRp36681
(dp36682
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Amsterdam
p36683
sbNNNNNg8
(g9
g10
NtRp36684
(dp36685
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36686
sbg8
(g23
g10
NtRp36687
(dp36688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36689
sbNg8
(g9
g10
NtRp36690
(dp36691
g13
Nsg14
Nsg15
VFALSE
p36692
sbNNNg8
(g9
g10
NtRp36693
(dp36694
g13
Nsg14
Nsg15
VFALSE
p36695
sbNNg8
(g9
g10
NtRp36696
(dp36697
g13
Nsg14
Nsg15
VFALSE
p36698
sbNNg8
(g9
g10
NtRp36699
(dp36700
g13
Nsg14
Nsg15
VFALSE
p36701
sbNg8
(g9
g10
NtRp36702
(dp36703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3916d45-24fe-4b4f-837b-118f45061e11.png
p36704
sbNg8
(g9
g10
NtRp36705
(dp36706
g13
Nsg14
Nsg15
V2019-06-04
p36707
sbNNg8
(g9
g10
NtRp36708
(dp36709
g13
Nsg14
Nsg15
Vland use|urban area
p36710
sbg8
(g9
g10
NtRp36711
(dp36712
g13
Nsg14
Nsg15
Vvector
p36713
sbg8
(g9
g10
NtRp36714
(dp36715
g13
Nsg14
Nsg15
VSHP
p36716
sbNg8
(g9
g10
NtRp36717
(dp36718
g13
Nsg14
Nsg15
V1:10000
p36719
sbNg8
(g9
g10
NtRp36720
(dp36721
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00182784001 (MS) (Date: 2005/09/19) \u000a                      * Spot 5 2,50 m - 00182784002 (MS) (Date: 2006/09/13) \u000a                      * Spot 5 2,50 m - 00182784003 (MS) (Date: 2005/06/23) \u000a                      * Spot 5 2,50 m - 00182793001 (P) (Date: 2005/09/19) \u000a                      * Spot 5 2,50 m - 00182793002 (P) (Date: 2006/09/13) \u000a                      * Spot 5 2,50 m - 00182793003 (P) (Date: 2005/06/23)
p36722
sbg8
(g9
g10
NtRp36723
(dp36724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3916d45-24fe-4b4f-837b-118f45061e11
p36725
sbg8
(g9
g10
NtRp36726
(dp36727
g13
Nsg14
g74
sg15
V2005
p36728
sbg8
(g9
g10
NtRp36729
(dp36730
g13
Nsg14
g74
sg15
V2006
p36731
sbg8
(g9
g10
NtRp36732
(dp36733
g13
Nsg14
Nsg15
VTRUE
p36734
sbg8
(g9
g10
NtRp36735
(dp36736
g13
Nsg14
Nsg15
VAmsterdam|Land use|Netherlands
p36737
sbg8
(g9
g10
NtRp36738
(dp36739
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36740
sbg8
(g9
g10
NtRp36741
(dp36742
g13
Nsg14
Nsg15
VFALSE
p36743
sbNg8
(g9
g10
NtRp36744
(dp36745
g13
Nsg14
Nsg15
VFALSE
p36746
sbNNNNNNNg8
(g9
g10
NtRp36747
(dp36748
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36749
(dp36750
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36751
(dp36752
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl002l_amsterdam_2005-2006
p36753
sbNg8
(g9
g10
NtRp36754
(dp36755
g13
Nsg14
Nsg15
Vobsolete
p36756
sbtp36757
a(g8
(g9
g10
NtRp36758
(dp36759
g13
Nsg14
Nsg15
V28a9b464-9cd7-44a3-af48-b5003b65f8f3
p36760
sbNg8
(g9
g10
NtRp36761
(dp36762
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Utrecht
p36763
sbNNNNNg8
(g9
g10
NtRp36764
(dp36765
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36766
sbg8
(g23
g10
NtRp36767
(dp36768
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36769
sbNg8
(g9
g10
NtRp36770
(dp36771
g13
Nsg14
Nsg15
VFALSE
p36772
sbNNNg8
(g9
g10
NtRp36773
(dp36774
g13
Nsg14
Nsg15
VFALSE
p36775
sbNNg8
(g9
g10
NtRp36776
(dp36777
g13
Nsg14
Nsg15
VFALSE
p36778
sbNNg8
(g9
g10
NtRp36779
(dp36780
g13
Nsg14
Nsg15
VFALSE
p36781
sbNg8
(g9
g10
NtRp36782
(dp36783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28a9b464-9cd7-44a3-af48-b5003b65f8f3.png
p36784
sbNg8
(g9
g10
NtRp36785
(dp36786
g13
Nsg14
Nsg15
V2019-06-04
p36787
sbNNg8
(g9
g10
NtRp36788
(dp36789
g13
Nsg14
Nsg15
Vland use|urban area
p36790
sbg8
(g9
g10
NtRp36791
(dp36792
g13
Nsg14
Nsg15
Vvector
p36793
sbg8
(g9
g10
NtRp36794
(dp36795
g13
Nsg14
Nsg15
VSHP
p36796
sbNg8
(g9
g10
NtRp36797
(dp36798
g13
Nsg14
Nsg15
V1:10000
p36799
sbNg8
(g9
g10
NtRp36800
(dp36801
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00183538004 (PS) (Date: 2005/06/23) \u000a                      * Spot 5 2,50 m - 00183538024 (PS) (Date: 2005/10/15)
p36802
sbg8
(g9
g10
NtRp36803
(dp36804
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28a9b464-9cd7-44a3-af48-b5003b65f8f3
p36805
sbg8
(g9
g10
NtRp36806
(dp36807
g13
Nsg14
g74
sg15
V2005
p36808
sbg8
(g9
g10
NtRp36809
(dp36810
g13
Nsg14
g74
sg15
V2005
p36811
sbg8
(g9
g10
NtRp36812
(dp36813
g13
Nsg14
Nsg15
VFALSE
p36814
sbg8
(g9
g10
NtRp36815
(dp36816
g13
Nsg14
Nsg15
VLand use|Netherlands|Utrecht
p36817
sbg8
(g9
g10
NtRp36818
(dp36819
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36820
sbg8
(g9
g10
NtRp36821
(dp36822
g13
Nsg14
Nsg15
VFALSE
p36823
sbNg8
(g9
g10
NtRp36824
(dp36825
g13
Nsg14
Nsg15
VFALSE
p36826
sbNNNNNNNg8
(g9
g10
NtRp36827
(dp36828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36829
(dp36830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36831
(dp36832
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl004l_utrecht_2005
p36833
sbNg8
(g9
g10
NtRp36834
(dp36835
g13
Nsg14
Nsg15
Vobsolete
p36836
sbtp36837
a(g8
(g9
g10
NtRp36838
(dp36839
g13
Nsg14
Nsg15
Ved00d825-a7e9-48e5-a32e-031f3ae6007e
p36840
sbNg8
(g9
g10
NtRp36841
(dp36842
g13
Nsg14
Nsg15
VUrban Atlas - Spain - Málaga
p36843
sbNNNNNg8
(g9
g10
NtRp36844
(dp36845
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36846
sbg8
(g23
g10
NtRp36847
(dp36848
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36849
sbNg8
(g9
g10
NtRp36850
(dp36851
g13
Nsg14
Nsg15
VFALSE
p36852
sbNNNg8
(g9
g10
NtRp36853
(dp36854
g13
Nsg14
Nsg15
VFALSE
p36855
sbNNg8
(g9
g10
NtRp36856
(dp36857
g13
Nsg14
Nsg15
VFALSE
p36858
sbNNg8
(g9
g10
NtRp36859
(dp36860
g13
Nsg14
Nsg15
VFALSE
p36861
sbNg8
(g9
g10
NtRp36862
(dp36863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ed00d825-a7e9-48e5-a32e-031f3ae6007e.png
p36864
sbNg8
(g9
g10
NtRp36865
(dp36866
g13
Nsg14
Nsg15
V2019-06-04
p36867
sbNNg8
(g9
g10
NtRp36868
(dp36869
g13
Nsg14
Nsg15
Vland use|urban area
p36870
sbg8
(g9
g10
NtRp36871
(dp36872
g13
Nsg14
Nsg15
Vvector
p36873
sbg8
(g9
g10
NtRp36874
(dp36875
g13
Nsg14
Nsg15
VSHP
p36876
sbNg8
(g9
g10
NtRp36877
(dp36878
g13
Nsg14
Nsg15
V1:10000
p36879
sbNg8
(g9
g10
NtRp36880
(dp36881
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50342760507031114452B2 (PS) (Date: 2005/07/03)
p36882
sbg8
(g9
g10
NtRp36883
(dp36884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ed00d825-a7e9-48e5-a32e-031f3ae6007e
p36885
sbg8
(g9
g10
NtRp36886
(dp36887
g13
Nsg14
g74
sg15
V2005
p36888
sbg8
(g9
g10
NtRp36889
(dp36890
g13
Nsg14
g74
sg15
V2005
p36891
sbg8
(g9
g10
NtRp36892
(dp36893
g13
Nsg14
Nsg15
VFALSE
p36894
sbg8
(g9
g10
NtRp36895
(dp36896
g13
Nsg14
Nsg15
VLand use|Málaga|Spain
p36897
sbg8
(g9
g10
NtRp36898
(dp36899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36900
sbg8
(g9
g10
NtRp36901
(dp36902
g13
Nsg14
Nsg15
VFALSE
p36903
sbNg8
(g9
g10
NtRp36904
(dp36905
g13
Nsg14
Nsg15
VFALSE
p36906
sbNNNNNNNg8
(g9
g10
NtRp36907
(dp36908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36909
(dp36910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36911
(dp36912
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-es006l_malaga_2005
p36913
sbNg8
(g9
g10
NtRp36914
(dp36915
g13
Nsg14
Nsg15
Vobsolete
p36916
sbtp36917
a(g8
(g9
g10
NtRp36918
(dp36919
g13
Nsg14
Nsg15
V0596e626-8683-4b21-8aef-2cf79409b630
p36920
sbNg8
(g9
g10
NtRp36921
(dp36922
g13
Nsg14
Nsg15
VUrban Atlas - United Kingdom - Cardiff
p36923
sbNNNNNg8
(g9
g10
NtRp36924
(dp36925
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p36926
sbg8
(g23
g10
NtRp36927
(dp36928
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p36929
sbNg8
(g9
g10
NtRp36930
(dp36931
g13
Nsg14
Nsg15
VFALSE
p36932
sbNNNg8
(g9
g10
NtRp36933
(dp36934
g13
Nsg14
Nsg15
VFALSE
p36935
sbNNg8
(g9
g10
NtRp36936
(dp36937
g13
Nsg14
Nsg15
VFALSE
p36938
sbNNg8
(g9
g10
NtRp36939
(dp36940
g13
Nsg14
Nsg15
VFALSE
p36941
sbNg8
(g9
g10
NtRp36942
(dp36943
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0596e626-8683-4b21-8aef-2cf79409b630.png
p36944
sbNg8
(g9
g10
NtRp36945
(dp36946
g13
Nsg14
Nsg15
V2019-06-04
p36947
sbNNg8
(g9
g10
NtRp36948
(dp36949
g13
Nsg14
Nsg15
Vland use|urban area
p36950
sbg8
(g9
g10
NtRp36951
(dp36952
g13
Nsg14
Nsg15
Vvector
p36953
sbg8
(g9
g10
NtRp36954
(dp36955
g13
Nsg14
Nsg15
VSHP
p36956
sbNg8
(g9
g10
NtRp36957
(dp36958
g13
Nsg14
Nsg15
V1:10000
p36959
sbNg8
(g9
g10
NtRp36960
(dp36961
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50252450909181129262B3 (PS) (Date: 2009/09/18) \u000a                      * Spot 5 2,50 m - 50262450801241123392B3 (PS) (Date: 2008/01/24) \u000a                      * Rapideye 5 m - 2010-06-23T121542_RE4_3A-NAC_5452674_104084 (XS) (Date: 2010/06/23) \u000a                      * Rapideye 5 m - 2010-06-23T121542_RE4_3A-NAC_5452705_104084 (XS) (Date: 2010/06/23) \u000a                      * Rapideye 5 m - 2010-06-23T121545_RE4_3A-NAC_5452703_104084 (XS) (Date: 2010/06/23) \u000a                      * Rapideye 5 m - 2010-06-23T121546_RE4_3A-NAC_5452636_104084 (XS) (Date: 2010/06/23) \u000a                      * Rapideye 5 m - 2010-06-23T121548_RE4_3A-NAC_5452639_104084 (XS) (Date: 2010/06/23) \u000a                      * Rapideye 5 m - 2010-06-23T121549_RE4_3A-NAC_5452704_104084 (XS) (Date: 2010/06/23)
p36962
sbg8
(g9
g10
NtRp36963
(dp36964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0596e626-8683-4b21-8aef-2cf79409b630
p36965
sbg8
(g9
g10
NtRp36966
(dp36967
g13
Nsg14
g74
sg15
V2008
p36968
sbg8
(g9
g10
NtRp36969
(dp36970
g13
Nsg14
g74
sg15
V2010
p36971
sbg8
(g9
g10
NtRp36972
(dp36973
g13
Nsg14
Nsg15
VTRUE
p36974
sbg8
(g9
g10
NtRp36975
(dp36976
g13
Nsg14
Nsg15
VCardiff|Land use|United Kingdom
p36977
sbg8
(g9
g10
NtRp36978
(dp36979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p36980
sbg8
(g9
g10
NtRp36981
(dp36982
g13
Nsg14
Nsg15
VFALSE
p36983
sbNg8
(g9
g10
NtRp36984
(dp36985
g13
Nsg14
Nsg15
VFALSE
p36986
sbNNNNNNNg8
(g9
g10
NtRp36987
(dp36988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp36989
(dp36990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp36991
(dp36992
g13
Nsg14
Nsg15
Vregio_v_32630_10_k_urban-atlas-uk009l_cardiff_2008-2010
p36993
sbNg8
(g9
g10
NtRp36994
(dp36995
g13
Nsg14
Nsg15
Vobsolete
p36996
sbtp36997
a(g8
(g9
g10
NtRp36998
(dp36999
g13
Nsg14
Nsg15
V0471462e-8848-40d1-b1cc-8c7b8d7d8855
p37000
sbNg8
(g9
g10
NtRp37001
(dp37002
g13
Nsg14
Nsg15
VUrban Atlas - Netherlands - Breda
p37003
sbNNNNNg8
(g9
g10
NtRp37004
(dp37005
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p37006
sbg8
(g23
g10
NtRp37007
(dp37008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p37009
sbNg8
(g9
g10
NtRp37010
(dp37011
g13
Nsg14
Nsg15
VFALSE
p37012
sbNNNg8
(g9
g10
NtRp37013
(dp37014
g13
Nsg14
Nsg15
VFALSE
p37015
sbNNg8
(g9
g10
NtRp37016
(dp37017
g13
Nsg14
Nsg15
VFALSE
p37018
sbNNg8
(g9
g10
NtRp37019
(dp37020
g13
Nsg14
Nsg15
VFALSE
p37021
sbNg8
(g9
g10
NtRp37022
(dp37023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0471462e-8848-40d1-b1cc-8c7b8d7d8855.png
p37024
sbNg8
(g9
g10
NtRp37025
(dp37026
g13
Nsg14
Nsg15
V2019-06-04
p37027
sbNNg8
(g9
g10
NtRp37028
(dp37029
g13
Nsg14
Nsg15
Vland use|urban area
p37030
sbg8
(g9
g10
NtRp37031
(dp37032
g13
Nsg14
Nsg15
Vvector
p37033
sbg8
(g9
g10
NtRp37034
(dp37035
g13
Nsg14
Nsg15
VSHP
p37036
sbNg8
(g9
g10
NtRp37037
(dp37038
g13
Nsg14
Nsg15
V1:10000
p37039
sbNg8
(g9
g10
NtRp37040
(dp37041
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 00187157022 (PS) (Date: 2005 8/9)
p37042
sbg8
(g9
g10
NtRp37043
(dp37044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0471462e-8848-40d1-b1cc-8c7b8d7d8855
p37045
sbg8
(g9
g10
NtRp37046
(dp37047
g13
Nsg14
g74
sg15
V2005
p37048
sbg8
(g9
g10
NtRp37049
(dp37050
g13
Nsg14
g74
sg15
V2005
p37051
sbg8
(g9
g10
NtRp37052
(dp37053
g13
Nsg14
Nsg15
VFALSE
p37054
sbg8
(g9
g10
NtRp37055
(dp37056
g13
Nsg14
Nsg15
VBreda|Land use|Netherlands
p37057
sbg8
(g9
g10
NtRp37058
(dp37059
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p37060
sbg8
(g9
g10
NtRp37061
(dp37062
g13
Nsg14
Nsg15
VFALSE
p37063
sbNg8
(g9
g10
NtRp37064
(dp37065
g13
Nsg14
Nsg15
VFALSE
p37066
sbNNNNNNNg8
(g9
g10
NtRp37067
(dp37068
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp37069
(dp37070
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp37071
(dp37072
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-nl012l_breda_2005
p37073
sbNg8
(g9
g10
NtRp37074
(dp37075
g13
Nsg14
Nsg15
Vobsolete
p37076
sbtp37077
a(g8
(g9
g10
NtRp37078
(dp37079
g13
Nsg14
Nsg15
Vac78b76b-12b8-4227-8119-c7a6206fbaaa
p37080
sbNg8
(g9
g10
NtRp37081
(dp37082
g13
Nsg14
Nsg15
VUrban Atlas - Hungary - Székesfehérvár
p37083
sbNNNNNg8
(g9
g10
NtRp37084
(dp37085
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p37086
sbg8
(g23
g10
NtRp37087
(dp37088
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p37089
sbNg8
(g9
g10
NtRp37090
(dp37091
g13
Nsg14
Nsg15
VFALSE
p37092
sbNNNg8
(g9
g10
NtRp37093
(dp37094
g13
Nsg14
Nsg15
VFALSE
p37095
sbNNg8
(g9
g10
NtRp37096
(dp37097
g13
Nsg14
Nsg15
VFALSE
p37098
sbNNg8
(g9
g10
NtRp37099
(dp37100
g13
Nsg14
Nsg15
VFALSE
p37101
sbNg8
(g9
g10
NtRp37102
(dp37103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac78b76b-12b8-4227-8119-c7a6206fbaaa.png
p37104
sbNg8
(g9
g10
NtRp37105
(dp37106
g13
Nsg14
Nsg15
V2019-06-04
p37107
sbNNg8
(g9
g10
NtRp37108
(dp37109
g13
Nsg14
Nsg15
Vland use|urban area
p37110
sbg8
(g9
g10
NtRp37111
(dp37112
g13
Nsg14
Nsg15
Vvector
p37113
sbg8
(g9
g10
NtRp37114
(dp37115
g13
Nsg14
Nsg15
VSHP
p37116
sbNg8
(g9
g10
NtRp37117
(dp37118
g13
Nsg14
Nsg15
V1:10000
p37119
sbNg8
(g9
g10
NtRp37120
(dp37121
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50742540707160937452B7 (PS) (Date: 2007/07/16)
p37122
sbg8
(g9
g10
NtRp37123
(dp37124
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac78b76b-12b8-4227-8119-c7a6206fbaaa
p37125
sbg8
(g9
g10
NtRp37126
(dp37127
g13
Nsg14
g74
sg15
V2007
p37128
sbg8
(g9
g10
NtRp37129
(dp37130
g13
Nsg14
g74
sg15
V2007
p37131
sbg8
(g9
g10
NtRp37132
(dp37133
g13
Nsg14
Nsg15
VFALSE
p37134
sbg8
(g9
g10
NtRp37135
(dp37136
g13
Nsg14
Nsg15
VHungary|Land use|Székesfehérvár
p37137
sbg8
(g9
g10
NtRp37138
(dp37139
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p37140
sbg8
(g9
g10
NtRp37141
(dp37142
g13
Nsg14
Nsg15
VFALSE
p37143
sbNg8
(g9
g10
NtRp37144
(dp37145
g13
Nsg14
Nsg15
VFALSE
p37146
sbNNNNNNNg8
(g9
g10
NtRp37147
(dp37148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp37149
(dp37150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp37151
(dp37152
g13
Nsg14
Nsg15
Vregio_v_32634_10_k_urban-atlas-hu009l_szekesfehervar_2007
p37153
sbNg8
(g9
g10
NtRp37154
(dp37155
g13
Nsg14
Nsg15
Vobsolete
p37156
sbtp37157
a(g8
(g9
g10
NtRp37158
(dp37159
g13
Nsg14
Nsg15
V09a3b081-80e7-4ba4-a9e7-d60b550978b6
p37160
sbNg8
(g9
g10
NtRp37161
(dp37162
g13
Nsg14
Nsg15
VUrban Atlas - Italy - Campobasso
p37163
sbNNNNNg8
(g9
g10
NtRp37164
(dp37165
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p37166
sbg8
(g23
g10
NtRp37167
(dp37168
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p37169
sbNg8
(g9
g10
NtRp37170
(dp37171
g13
Nsg14
Nsg15
VFALSE
p37172
sbNNNg8
(g9
g10
NtRp37173
(dp37174
g13
Nsg14
Nsg15
VFALSE
p37175
sbNNg8
(g9
g10
NtRp37176
(dp37177
g13
Nsg14
Nsg15
VFALSE
p37178
sbNNg8
(g9
g10
NtRp37179
(dp37180
g13
Nsg14
Nsg15
VFALSE
p37181
sbNg8
(g9
g10
NtRp37182
(dp37183
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/09a3b081-80e7-4ba4-a9e7-d60b550978b6.png
p37184
sbNg8
(g9
g10
NtRp37185
(dp37186
g13
Nsg14
Nsg15
V2019-06-04
p37187
sbNNg8
(g9
g10
NtRp37188
(dp37189
g13
Nsg14
Nsg15
Vland use|urban area
p37190
sbg8
(g9
g10
NtRp37191
(dp37192
g13
Nsg14
Nsg15
Vvector
p37193
sbg8
(g9
g10
NtRp37194
(dp37195
g13
Nsg14
Nsg15
VSHP
p37196
sbNg8
(g9
g10
NtRp37197
(dp37198
g13
Nsg14
Nsg15
V1:10000
p37199
sbNg8
(g9
g10
NtRp37200
(dp37201
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Spot 5 2,50 m - 50702660608161005242B2 (PS) (Date: 2006/08/16) \u000a                      * Spot 5 2,50 m - 50712660710170949402B4 (PS) (Date: 2007/10/17)
p37202
sbg8
(g9
g10
NtRp37203
(dp37204
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09a3b081-80e7-4ba4-a9e7-d60b550978b6
p37205
sbg8
(g9
g10
NtRp37206
(dp37207
g13
Nsg14
g74
sg15
V2006
p37208
sbg8
(g9
g10
NtRp37209
(dp37210
g13
Nsg14
g74
sg15
V2007
p37211
sbg8
(g9
g10
NtRp37212
(dp37213
g13
Nsg14
Nsg15
VTRUE
p37214
sbg8
(g9
g10
NtRp37215
(dp37216
g13
Nsg14
Nsg15
VCampobasso|Italy|Land use
p37217
sbg8
(g9
g10
NtRp37218
(dp37219
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p37220
sbg8
(g9
g10
NtRp37221
(dp37222
g13
Nsg14
Nsg15
VFALSE
p37223
sbNg8
(g9
g10
NtRp37224
(dp37225
g13
Nsg14
Nsg15
VFALSE
p37226
sbNNNNNNNg8
(g9
g10
NtRp37227
(dp37228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp37229
(dp37230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp37231
(dp37232
g13
Nsg14
Nsg15
Vregio_v_32633_10_k_urban-atlas-it020l_campobasso_2006-2007
p37233
sbNg8
(g9
g10
NtRp37234
(dp37235
g13
Nsg14
Nsg15
Vobsolete
p37236
sbtp37237
a(g8
(g9
g10
NtRp37238
(dp37239
g13
Nsg14
Nsg15
V7529cdcc-7c99-4e3c-9bf4-df59e81a5a01
p37240
sbNg8
(g9
g10
NtRp37241
(dp37242
g13
Nsg14
Nsg15
VUrban Atlas - Belgium - Namur (Namen)
p37243
sbNNNNNg8
(g9
g10
NtRp37244
(dp37245
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p37246
sbg8
(g23
g10
NtRp37247
(dp37248
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p37249
sbNg8
(g9
g10
NtRp37250
(dp37251
g13
Nsg14
Nsg15
VFALSE
p37252
sbNNNg8
(g9
g10
NtRp37253
(dp37254
g13
Nsg14
Nsg15
VFALSE
p37255
sbNNg8
(g9
g10
NtRp37256
(dp37257
g13
Nsg14
Nsg15
VFALSE
p37258
sbNNg8
(g9
g10
NtRp37259
(dp37260
g13
Nsg14
Nsg15
VFALSE
p37261
sbNg8
(g9
g10
NtRp37262
(dp37263
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7529cdcc-7c99-4e3c-9bf4-df59e81a5a01.png
p37264
sbNg8
(g9
g10
NtRp37265
(dp37266
g13
Nsg14
Nsg15
V2019-06-04
p37267
sbNNg8
(g9
g10
NtRp37268
(dp37269
g13
Nsg14
Nsg15
Vland use|urban area
p37270
sbg8
(g9
g10
NtRp37271
(dp37272
g13
Nsg14
Nsg15
Vvector
p37273
sbg8
(g9
g10
NtRp37274
(dp37275
g13
Nsg14
Nsg15
VSHP
p37276
sbNg8
(g9
g10
NtRp37277
(dp37278
g13
Nsg14
Nsg15
V1:10000
p37279
sbNg8
(g9
g10
NtRp37280
(dp37281
g13
Nsg14
Nsg15
VEarth Observation (EO) Data used:\u000a                      * Format (shapefile + prj)  - Ok (Date: ) \u000a                      * SOIL SEALING cover and projection - Ok (Date: ) \u000a                      * COTS validation - Ok (Date: )
p37282
sbg8
(g9
g10
NtRp37283
(dp37284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7529cdcc-7c99-4e3c-9bf4-df59e81a5a01
p37285
sbNNg8
(g9
g10
NtRp37286
(dp37287
g13
Nsg14
Nsg15
VFALSE
p37288
sbg8
(g9
g10
NtRp37289
(dp37290
g13
Nsg14
Nsg15
VBelgium|Land use|Namur
p37291
sbg8
(g9
g10
NtRp37292
(dp37293
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.
p37294
sbg8
(g9
g10
NtRp37295
(dp37296
g13
Nsg14
Nsg15
VFALSE
p37297
sbNg8
(g9
g10
NtRp37298
(dp37299
g13
Nsg14
Nsg15
VFALSE
p37300
sbNNNNNNNg8
(g9
g10
NtRp37301
(dp37302
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp37303
(dp37304
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp37305
(dp37306
g13
Nsg14
Nsg15
Vregio_v_32631_10_k_urban-atlas-be007l_namur_
p37307
sbNg8
(g9
g10
NtRp37308
(dp37309
g13
Nsg14
Nsg15
Vobsolete
p37310
sbtp37311
a(g8
(g9
g10
NtRp37312
(dp37313
g13
Nsg14
Nsg15
V41c16f0f-b13f-4ff6-9060-f19cb2041020
p37314
sbNg8
(g9
g10
NtRp37315
(dp37316
g13
Nsg14
Nsg15
VUrban Atlas - Cyprus - Nicosia (\u039b\u03b5\u03c5\u03ba\u03c9\u03c3\u03af\u03b1)
p37317
sbNNNNNg8
(g9
g10
NtRp37318
(dp37319
g13
Nsg14
Nsg15
VThe Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.
p37320
sbg8
(g23
g10
NtRp37321
(dp37322
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-atlas
p37323
sbNg8
(g9
g10
NtRp37324
(dp37325
g13
Nsg14
Nsg15
VFALSE
p37326
sbNNNg8
(g9
g10
NtRp37327
(dp37328
g13
Nsg14
Nsg15
VFALSE
p37329
sbNNg8
(g9
g10
NtRp37330
(dp37331
g13
Nsg14
Nsg15
VFALSE
p37332
sbNNg8
(g9
g10
NtRp37333
(dp37334
g13
Nsg14
Nsg15
VFALSE
p37335
sbNg8
(g9
g10
NtRp37336
(dp37337
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/41c16f0f-b13f-4ff6-9060-f19cb2041020.png
p37338
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VCorine Land Cover 1990 - 200 changes - version 13 (02/2010) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\u000aCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\u000aCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VInput data: Corine Land Cover 2006 vector v16 (file geodatabase v10)\u000a\u000aRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\u000a- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \u000a- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit  range (0...44), see clc_legend.csv [2]\u000a- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\u000a\u000a[0]: docs/rasterize.sh\u000a[1]: docs/layer_code.list\u000a[2]: docs/clc_legend.csv\u000a[3]: docs/legend_250.vrt
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges: Version 16 (V6) (04/2012) Product date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Reprojected CHA06 data for Malta are included - very small polygons, which are not part of complex change or which are not along country border has been deleted\u000aV5: 07/2011 - Upgraded version -Great Britain included - Contains data for 38 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland and Northern Ireland included - Contains data for 38 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). 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The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\u000aVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VInput data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10)\u000a\u000aRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\u000a- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \u000a- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit  range (0...44), see clc_legend.csv [2]\u000a- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\u000a\u000a[0]: docs/rasterize.sh\u000a[1]: docs/layer_code.list\u000a[2]: docs/clc_legend.csv\u000a[3]: docs/legend_100.vrt
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. 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Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VCorine Land Cover 1990 - 200 changes is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme\u000aprovides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will\u000aprovide environmental information from a combination of air- and  space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at\u000ahttp://www.eea.europa.eu
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\u000aSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\u000aV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\u000aV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\u000aChanges:\u000aVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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NtRp38588
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Veea_r_3035_100_m_clc_2006_rev13
p38590
sbNg8
(g9
g10
NtRp38591
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g13
Nsg14
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Vobsolete
p38593
sbtp38594
a(g8
(g9
g10
NtRp38595
(dp38596
g13
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V4ead9faf-5732-4dd2-aaf1-4b10db063fe9
p38597
sbNg8
(g9
g10
NtRp38598
(dp38599
g13
Nsg14
Nsg15
VCorine Land Cover 1990 (raster 100m) - version 15, Aug. 2011
p38600
sbNNNNNg8
(g9
g10
NtRp38601
(dp38602
g13
Nsg14
Nsg15
VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p38603
sbg8
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g10
NtRp38604
(dp38605
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-1
p38606
sbNg8
(g9
g10
NtRp38607
(dp38608
g13
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Nsg15
VFALSE
p38609
sbNNNg8
(g9
g10
NtRp38610
(dp38611
g13
Nsg14
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VFALSE
p38612
sbNNg8
(g9
g10
NtRp38613
(dp38614
g13
Nsg14
Nsg15
VFALSE
p38615
sbNNg8
(g9
g10
NtRp38616
(dp38617
g13
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VFALSE
p38618
sbNg8
(g9
g10
NtRp38619
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g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4ead9faf-5732-4dd2-aaf1-4b10db063fe9.png
p38621
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NtRp38622
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g13
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Nsg15
VEPSG:3035
p38624
sbg8
(g9
g10
NtRp38625
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g13
Nsg14
Nsg15
V2019-06-04
p38627
sbNNNg8
(g9
g10
NtRp38628
(dp38629
g13
Nsg14
Nsg15
Vgrid
p38630
sbg8
(g9
g10
NtRp38631
(dp38632
g13
Nsg14
Nsg15
VGTiff
p38633
sbNg8
(g9
g10
NtRp38634
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g13
Nsg14
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V100m
p38636
sbNg8
(g9
g10
NtRp38637
(dp38638
g13
Nsg14
Nsg15
VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).
p38639
sbg8
(g9
g10
NtRp38640
(dp38641
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4ead9faf-5732-4dd2-aaf1-4b10db063fe9
p38642
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(g9
g10
NtRp38643
(dp38644
g13
Nsg14
g74
sg15
V1990
p38645
sbg8
(g9
g10
NtRp38646
(dp38647
g13
Nsg14
g74
sg15
V1990
p38648
sbg8
(g9
g10
NtRp38649
(dp38650
g13
Nsg14
Nsg15
VFALSE
p38651
sbg8
(g9
g10
NtRp38652
(dp38653
g13
Nsg14
Nsg15
VLand cover
p38654
sbg8
(g9
g10
NtRp38655
(dp38656
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p38657
sbg8
(g9
g10
NtRp38658
(dp38659
g13
Nsg14
Nsg15
VFALSE
p38660
sbg8
(g9
g10
NtRp38661
(dp38662
g13
Nsg14
Nsg15
VEuropean Environment Agency
p38663
sbg8
(g9
g10
NtRp38664
(dp38665
g13
Nsg14
Nsg15
VFALSE
p38666
sbNNNNNNNg8
(g9
g10
NtRp38667
(dp38668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp38669
(dp38670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp38671
(dp38672
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc_1990_rev15
p38673
sbNg8
(g9
g10
NtRp38674
(dp38675
g13
Nsg14
Nsg15
Vobsolete
p38676
sbtp38677
a(g8
(g9
g10
NtRp38678
(dp38679
g13
Nsg14
Nsg15
V702e2157-d9c9-4306-9d02-5d69b409b783
p38680
sbNg8
(g9
g10
NtRp38681
(dp38682
g13
Nsg14
Nsg15
VCorine Land Cover 2006 seamless (vector) - version 13, Feb. 2010
p38683
sbNNNNNg8
(g9
g10
NtRp38684
(dp38685
g13
Nsg14
Nsg15
VCLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
p38686
sbg8
(g23
g10
NtRp38687
(dp38688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version
p38689
sbNg8
(g9
g10
NtRp38690
(dp38691
g13
Nsg14
Nsg15
VFALSE
p38692
sbNNNg8
(g9
g10
NtRp38693
(dp38694
g13
Nsg14
Nsg15
VFALSE
p38695
sbNNg8
(g9
g10
NtRp38696
(dp38697
g13
Nsg14
Nsg15
VFALSE
p38698
sbNNg8
(g9
g10
NtRp38699
(dp38700
g13
Nsg14
Nsg15
VFALSE
p38701
sbNg8
(g9
g10
NtRp38702
(dp38703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/702e2157-d9c9-4306-9d02-5d69b409b783.png
p38704
sbg8
(g9
g10
NtRp38705
(dp38706
g13
Nsg14
Nsg15
VEPSG:3035
p38707
sbg8
(g9
g10
NtRp38708
(dp38709
g13
Nsg14
Nsg15
V2019-06-04
p38710
sbNNNg8
(g9
g10
NtRp38711
(dp38712
g13
Nsg14
Nsg15
Vvector
p38713
sbg8
(g9
g10
NtRp38714
(dp38715
g13
Nsg14
Nsg15
VFGeo
p38716
sbNg8
(g9
g10
NtRp38717
(dp38718
g13
Nsg14
Nsg15
V1:100000
p38719
sbNg8
(g9
g10
NtRp38720
(dp38721
g13
Nsg14
Nsg15
VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aCHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced
p38722
sbg8
(g9
g10
NtRp38723
(dp38724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/702e2157-d9c9-4306-9d02-5d69b409b783
p38725
sbg8
(g9
g10
NtRp38726
(dp38727
g13
Nsg14
g74
sg15
V2006
p38728
sbg8
(g9
g10
NtRp38729
(dp38730
g13
Nsg14
g74
sg15
V2006
p38731
sbg8
(g9
g10
NtRp38732
(dp38733
g13
Nsg14
Nsg15
VFALSE
p38734
sbg8
(g9
g10
NtRp38735
(dp38736
g13
Nsg14
Nsg15
VLand cover
p38737
sbg8
(g9
g10
NtRp38738
(dp38739
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p38740
sbg8
(g9
g10
NtRp38741
(dp38742
g13
Nsg14
Nsg15
VFALSE
p38743
sbg8
(g9
g10
NtRp38744
(dp38745
g13
Nsg14
Nsg15
VEuropean Environment Agency
p38746
sbg8
(g9
g10
NtRp38747
(dp38748
g13
Nsg14
Nsg15
VFALSE
p38749
sbNNNNNNNg8
(g9
g10
NtRp38750
(dp38751
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp38752
(dp38753
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp38754
(dp38755
g13
Nsg14
Nsg15
Veea_v_3035_100_k_clc_2006_rev13
p38756
sbNg8
(g9
g10
NtRp38757
(dp38758
g13
Nsg14
Nsg15
Vobsolete
p38759
sbtp38760
a(g8
(g9
g10
NtRp38761
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g13
Nsg14
Nsg15
Vd6d6e5d2-d0dc-449c-a40e-12e5acfb35e9
p38763
sbNg8
(g9
g10
NtRp38764
(dp38765
g13
Nsg14
Nsg15
VCorine Land Cover 1990 (raster 250m) - version 15, Aug. 2011
p38766
sbNNNNNg8
(g9
g10
NtRp38767
(dp38768
g13
Nsg14
Nsg15
VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p38769
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(g23
g10
NtRp38770
(dp38771
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-1
p38772
sbNg8
(g9
g10
NtRp38773
(dp38774
g13
Nsg14
Nsg15
VFALSE
p38775
sbNNNg8
(g9
g10
NtRp38776
(dp38777
g13
Nsg14
Nsg15
VFALSE
p38778
sbNNg8
(g9
g10
NtRp38779
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g13
Nsg14
Nsg15
VFALSE
p38781
sbNNg8
(g9
g10
NtRp38782
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g13
Nsg14
Nsg15
VFALSE
p38784
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g10
NtRp38785
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Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9.png
p38787
sbg8
(g9
g10
NtRp38788
(dp38789
g13
Nsg14
Nsg15
VEPSG:3035
p38790
sbg8
(g9
g10
NtRp38791
(dp38792
g13
Nsg14
Nsg15
V2019-06-04
p38793
sbNNNg8
(g9
g10
NtRp38794
(dp38795
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Nsg14
Nsg15
Vgrid
p38796
sbg8
(g9
g10
NtRp38797
(dp38798
g13
Nsg14
Nsg15
VGTiff
p38799
sbNg8
(g9
g10
NtRp38800
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g13
Nsg14
Nsg15
V250m
p38802
sbNg8
(g9
g10
NtRp38803
(dp38804
g13
Nsg14
Nsg15
VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).
p38805
sbg8
(g9
g10
NtRp38806
(dp38807
g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9
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NtRp38809
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p38811
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NtRp38812
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g74
sg15
V1990
p38814
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(g9
g10
NtRp38815
(dp38816
g13
Nsg14
Nsg15
VFALSE
p38817
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NtRp38818
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g13
Nsg14
Nsg15
VLand cover
p38820
sbg8
(g9
g10
NtRp38821
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g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p38823
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(g9
g10
NtRp38824
(dp38825
g13
Nsg14
Nsg15
VFALSE
p38826
sbg8
(g9
g10
NtRp38827
(dp38828
g13
Nsg14
Nsg15
VEuropean Environment Agency
p38829
sbg8
(g9
g10
NtRp38830
(dp38831
g13
Nsg14
Nsg15
VFALSE
p38832
sbNNNNNNNg8
(g9
g10
NtRp38833
(dp38834
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp38835
(dp38836
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp38837
(dp38838
g13
Nsg14
Nsg15
Veea_r_3035_250_m_clc_1990_rev15
p38839
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(g9
g10
NtRp38840
(dp38841
g13
Nsg14
Nsg15
Vobsolete
p38842
sbtp38843
a(g8
(g9
g10
NtRp38844
(dp38845
g13
Nsg14
Nsg15
Ve6960701-c379-462e-83df-12b8353d37ac
p38846
sbNg8
(g9
g10
NtRp38847
(dp38848
g13
Nsg14
Nsg15
VCorine Land Cover 2000 (raster 100m) - version 13, Feb. 2010
p38849
sbNNNNNg8
(g9
g10
NtRp38850
(dp38851
g13
Nsg14
Nsg15
VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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Vhttps://www.eea.europa.eu/data-and-maps/data/clc-2000-raster
p38855
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VFALSE
p38858
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VFALSE
p38861
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VFALSE
p38864
sbNNg8
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NtRp38865
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VFALSE
p38867
sbNg8
(g9
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g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e6960701-c379-462e-83df-12b8353d37ac.png
p38870
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VEPSG:3035
p38873
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V2019-06-04
p38876
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p38879
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Nsg14
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VAIG
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V100m
p38885
sbNg8
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NtRp38886
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).
p38888
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e6960701-c379-462e-83df-12b8353d37ac
p38891
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NtRp38892
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g74
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V2000
p38894
sbg8
(g9
g10
NtRp38895
(dp38896
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g74
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V2000
p38897
sbg8
(g9
g10
NtRp38898
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g13
Nsg14
Nsg15
VFALSE
p38900
sbg8
(g9
g10
NtRp38901
(dp38902
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Nsg14
Nsg15
VLand cover
p38903
sbg8
(g9
g10
NtRp38904
(dp38905
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p38906
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g10
NtRp38907
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g13
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Nsg15
VFALSE
p38909
sbg8
(g9
g10
NtRp38910
(dp38911
g13
Nsg14
Nsg15
VEuropean Environment Agency
p38912
sbg8
(g9
g10
NtRp38913
(dp38914
g13
Nsg14
Nsg15
VFALSE
p38915
sbNNNNNNNg8
(g9
g10
NtRp38916
(dp38917
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp38918
(dp38919
g13
Nsg14
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V
sbNNg8
(g9
g10
NtRp38920
(dp38921
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Nsg14
Nsg15
Veea_r_3035_100_m_clc_2000_rev13
p38922
sbNg8
(g9
g10
NtRp38923
(dp38924
g13
Nsg14
Nsg15
Vobsolete
p38925
sbtp38926
a(g8
(g9
g10
NtRp38927
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g13
Nsg14
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V1b926b72-c950-4d52-b32e-003214895ce8
p38929
sbNg8
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g10
NtRp38930
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g13
Nsg14
Nsg15
VCommon Database on Designated Areas (CDDA) polygons for public access - version 9, Nov. 2011
p38932
sbNNNNNg8
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g10
NtRp38933
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g13
Nsg14
Nsg15
VThe European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.
p38935
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g10
NtRp38936
(dp38937
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5
p38938
sbNg8
(g9
g10
NtRp38939
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Nsg15
VFALSE
p38941
sbNNNg8
(g9
g10
NtRp38942
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g13
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VFALSE
p38944
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NtRp38945
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Nsg14
Nsg15
VFALSE
p38947
sbNNg8
(g9
g10
NtRp38948
(dp38949
g13
Nsg14
Nsg15
VFALSE
p38950
sbNg8
(g9
g10
NtRp38951
(dp38952
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1b926b72-c950-4d52-b32e-003214895ce8.png
p38953
sbg8
(g9
g10
NtRp38954
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Nsg15
VEPSG:3035
p38956
sbg8
(g9
g10
NtRp38957
(dp38958
g13
Nsg14
Nsg15
V2019-06-04
p38959
sbNNNg8
(g9
g10
NtRp38960
(dp38961
g13
Nsg14
Nsg15
Vvector
p38962
sbg8
(g9
g10
NtRp38963
(dp38964
g13
Nsg14
Nsg15
VSHP
p38965
sbNg8
(g9
g10
NtRp38966
(dp38967
g13
Nsg14
Nsg15
V1:100000
p38968
sbNg8
(g9
g10
NtRp38969
(dp38970
g13
Nsg14
Nsg15
VIn 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\u000aOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.
p38971
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(g9
g10
NtRp38972
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b926b72-c950-4d52-b32e-003214895ce8
p38974
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NtRp38975
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g13
Nsg14
g74
sg15
V2011
p38977
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g10
NtRp38978
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Nsg14
g74
sg15
V2011
p38980
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(g9
g10
NtRp38981
(dp38982
g13
Nsg14
Nsg15
VFALSE
p38983
sbg8
(g9
g10
NtRp38984
(dp38985
g13
Nsg14
Nsg15
VProtected sites
p38986
sbg8
(g9
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NtRp38987
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g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p38989
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(g9
g10
NtRp38990
(dp38991
g13
Nsg14
Nsg15
VFALSE
p38992
sbg8
(g9
g10
NtRp38993
(dp38994
g13
Nsg14
Nsg15
VEuropean Environment Agency
p38995
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(g9
g10
NtRp38996
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Nsg14
Nsg15
VFALSE
p38998
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g10
NtRp38999
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp39001
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Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp39003
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Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-public_2011_rev9
p39005
sbNg8
(g9
g10
NtRp39006
(dp39007
g13
Nsg14
Nsg15
Vsuperseded
p39008
sbtp39009
a(g8
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g10
NtRp39010
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Nsg14
Nsg15
V842747d1-42c1-414b-9ce2-7c1eb9725c04
p39012
sbNg8
(g9
g10
NtRp39013
(dp39014
g13
Nsg14
Nsg15
VCorine Land Cover 1990 - 2000 changes (vector) - version 15, Aug. 2011
p39015
sbNNNNNg8
(g9
g10
NtRp39016
(dp39017
g13
Nsg14
Nsg15
VCorine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\u000aCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\u000aCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/
p39018
sbg8
(g23
g10
NtRp39019
(dp39020
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990
p39021
sbNg8
(g9
g10
NtRp39022
(dp39023
g13
Nsg14
Nsg15
VFALSE
p39024
sbNNNg8
(g9
g10
NtRp39025
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g13
Nsg14
Nsg15
VFALSE
p39027
sbNNg8
(g9
g10
NtRp39028
(dp39029
g13
Nsg14
Nsg15
VFALSE
p39030
sbNNg8
(g9
g10
NtRp39031
(dp39032
g13
Nsg14
Nsg15
VFALSE
p39033
sbNg8
(g9
g10
NtRp39034
(dp39035
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/842747d1-42c1-414b-9ce2-7c1eb9725c04.png
p39036
sbg8
(g9
g10
NtRp39037
(dp39038
g13
Nsg14
Nsg15
VEPSG:3035
p39039
sbg8
(g9
g10
NtRp39040
(dp39041
g13
Nsg14
Nsg15
V2019-06-04
p39042
sbNNNg8
(g9
g10
NtRp39043
(dp39044
g13
Nsg14
Nsg15
Vvector
p39045
sbg8
(g9
g10
NtRp39046
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Nsg14
Nsg15
VSHP
p39048
sbNg8
(g9
g10
NtRp39049
(dp39050
g13
Nsg14
Nsg15
V1:100000
p39051
sbNg8
(g9
g10
NtRp39052
(dp39053
g13
Nsg14
Nsg15
VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.
p39054
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g10
NtRp39055
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/842747d1-42c1-414b-9ce2-7c1eb9725c04
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NtRp39058
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g13
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g74
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V1990
p39060
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g10
NtRp39061
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g74
sg15
V2000
p39063
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(g9
g10
NtRp39064
(dp39065
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Nsg14
Nsg15
VTRUE
p39066
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(g9
g10
NtRp39067
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g13
Nsg14
Nsg15
VLand cover
p39069
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(g9
g10
NtRp39070
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g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p39072
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(g9
g10
NtRp39073
(dp39074
g13
Nsg14
Nsg15
VFALSE
p39075
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(g9
g10
NtRp39076
(dp39077
g13
Nsg14
Nsg15
VEuropean Environment Agency
p39078
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(g9
g10
NtRp39079
(dp39080
g13
Nsg14
Nsg15
VFALSE
p39081
sbNNNNNNNg8
(g9
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NtRp39082
(dp39083
g13
Nsg14
Nsg15
V
sbg8
(g9
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NtRp39084
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V
sbNNg8
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g10
NtRp39086
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Veea_v_3035_100_k_clc-changes_1990-2000_rev15
p39088
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NtRp39089
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Vobsolete
p39091
sbtp39092
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(g9
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NtRp39093
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Ve70ca0e1-8fd4-494a-a86b-6222bdfc82b3
p39095
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g10
NtRp39096
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g13
Nsg14
Nsg15
VCorine Land Cover 2000 (raster 250m) - version 15, Aug. 2011
p39098
sbNNNNNg8
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g10
NtRp39099
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g13
Nsg14
Nsg15
VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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NtRp39102
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Vhttps://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-1
p39104
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(g9
g10
NtRp39105
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VFALSE
p39107
sbNNNg8
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g10
NtRp39108
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Nsg14
Nsg15
VFALSE
p39110
sbNNg8
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g10
NtRp39111
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Nsg14
Nsg15
VFALSE
p39113
sbNNg8
(g9
g10
NtRp39114
(dp39115
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VFALSE
p39116
sbNg8
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g10
NtRp39117
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g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e70ca0e1-8fd4-494a-a86b-6222bdfc82b3.png
p39119
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NtRp39120
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Nsg15
VEPSG:3035
p39122
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NtRp39123
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V2019-06-04
p39125
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NtRp39126
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Vgrid
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VGTiff
p39131
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NtRp39132
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V250m
p39134
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NtRp39135
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VInput data: Corine Land Cover 2006 vector v16 (file geodatabase v10)\u000a\u000aRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\u000a- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \u000a- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit  range (0...44), see clc_legend.csv [2]\u000a- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\u000a\u000a[0]: docs/rasterize.sh\u000a[1]: docs/layer_code.list\u000a[2]: docs/clc_legend.csv\u000a[3]: docs/legend_100.vrt
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VCHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VCLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\u000aSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\u000aV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\u000aV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e4af53-3ed6-440d-a690-7a3fa1793dce
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p39813
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p39819
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p39848
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p39854
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p39857
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p39860
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p39869
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p39872
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p39884
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p39890
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p39893
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p39896
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p39899
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\u000a\u000aEEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (©Finnish Environment Institute, 2011).
p39902
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p39905
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p39908
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p39911
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VCommon Database on Designated Areas (CDDA) points for public access - version 9, Nov. 2011
p39928
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VThe European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.
p39931
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Vhttps://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5
p39934
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p39937
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p39940
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p39943
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p39952
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p39955
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p39958
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p39967
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1
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p39979
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(g9
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p39985
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p39988
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Nsg14
Nsg15
VEuropean Environment Agency
p39991
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p39994
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sbg8
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V699c0c6d-8f21-4949-b373-1fdaeb3f82ed
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VEEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 100m
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p40038
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VGTiff
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V100m
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p40062
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p40068
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p40071
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p40074
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p40077
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It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. 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Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. 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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. 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It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges:\u000aVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92f84de3-1ff9-438b-bd89-9d89ec0bddfd
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VRiver Basin Districts (RBDs) and/or their subunits are the main units for the management of river basins and have been delineated by Member States under Article 3 of the Water Framework Directive. The geographic area of some RBDs span more than one country (such as the Danube) and these are known as International RBDs. Others are contained completely within a country and are known as National RBDs. River basin districts are defined as the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. Coastal waters are defined as one nautical mile from the coastline and extending, where appropriate, up to the outer limit of transitional waters. Coastal waters are included in RBDs, but this is not consistenly reported by Member States. Transitional waters are defined as bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. For more information about European waters, please visit the WISE portal (http://water.europa.eu/).
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VCHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VCLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges:\u000aVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Reprojected CLC00 data for Malta are included.\u000aV5: 07/2011 - Upgraded version - Sea buffer between clc00 and clc06 harmonized - Contains data for 39 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland included - Sea buffer (25km) improved so they are consistent across all CLC layers - No-data buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra area - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v3, were resolved - Contains data for 39 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VCorine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\u000aCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\u000aCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\u000aV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VDocumentation about the method used can be downloaded from the resource location.
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\u000aChanges:\u000aVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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(g9
g10
NtRp41139
(dp41140
g13
Nsg14
Nsg15
VFALSE
p41141
sbg8
(g9
g10
NtRp41142
(dp41143
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41144
sbg8
(g9
g10
NtRp41145
(dp41146
g13
Nsg14
Nsg15
VFALSE
p41147
sbNNNNNNNg8
(g9
g10
NtRp41148
(dp41149
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp41150
(dp41151
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp41152
(dp41153
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc_2006_rev15
p41154
sbNg8
(g9
g10
NtRp41155
(dp41156
g13
Nsg14
Nsg15
Vobsolete
p41157
sbtp41158
a(g8
(g9
g10
NtRp41159
(dp41160
g13
Nsg14
Nsg15
Vfa4f3b2d-e4a6-461c-8094-1c089c7e16d7
p41161
sbNg8
(g9
g10
NtRp41162
(dp41163
g13
Nsg14
Nsg15
VUrban Morphological Zones 2000 (vector) - version 13, Apr. 2010
p41164
sbNNNNNg8
(g9
g10
NtRp41165
(dp41166
g13
Nsg14
Nsg15
VA UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2000, version 13, by means of a complex methodology explained below.
p41167
sbNNg8
(g9
g10
NtRp41168
(dp41169
g13
Nsg14
Nsg15
VFALSE
p41170
sbNNNg8
(g9
g10
NtRp41171
(dp41172
g13
Nsg14
Nsg15
VFALSE
p41173
sbNNg8
(g9
g10
NtRp41174
(dp41175
g13
Nsg14
Nsg15
VFALSE
p41176
sbNNg8
(g9
g10
NtRp41177
(dp41178
g13
Nsg14
Nsg15
VFALSE
p41179
sbNg8
(g9
g10
NtRp41180
(dp41181
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7.png
p41182
sbg8
(g9
g10
NtRp41183
(dp41184
g13
Nsg14
Nsg15
VEPSG:3035
p41185
sbg8
(g9
g10
NtRp41186
(dp41187
g13
Nsg14
Nsg15
V2019-06-04
p41188
sbNNNg8
(g9
g10
NtRp41189
(dp41190
g13
Nsg14
Nsg15
Vvector
p41191
sbg8
(g9
g10
NtRp41192
(dp41193
g13
Nsg14
Nsg15
VSHP
p41194
sbNg8
(g9
g10
NtRp41195
(dp41196
g13
Nsg14
Nsg15
V1:100000
p41197
sbNg8
(g9
g10
NtRp41198
(dp41199
g13
Nsg14
Nsg15
VMethodology description:\u000a UMZ 2000 dataset derives from Corine Land Cover 2000 raster. Urban classes are selected from CLC2000 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. \u000aChanges:\u000a None \u000aPublish status:\u000a Ready for publish \u000aprocess steps\u000a \u000aDescription:\u000a Reclassification of Corine Land Cover 2000 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \u000a\u000a \u000aDescription:\u000a Vectorisation of each reclassified set \u000a\u000a \u000aDescription:\u000a Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \u000a\u000a \u000aDescription:\u000a Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \u000a\u000a \u000aDescription:\u000a Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \u000a\u000a \u000aDescription:\u000a Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \u000a\u000a\u000aDescription:\u000a Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2000
p41200
sbg8
(g9
g10
NtRp41201
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7
p41203
sbNNg8
(g9
g10
NtRp41204
(dp41205
g13
Nsg14
Nsg15
VFALSE
p41206
sbg8
(g9
g10
NtRp41207
(dp41208
g13
Nsg14
Nsg15
VLand cover
p41209
sbg8
(g9
g10
NtRp41210
(dp41211
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p41212
sbg8
(g9
g10
NtRp41213
(dp41214
g13
Nsg14
Nsg15
VFALSE
p41215
sbg8
(g9
g10
NtRp41216
(dp41217
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41218
sbg8
(g9
g10
NtRp41219
(dp41220
g13
Nsg14
Nsg15
VFALSE
p41221
sbNNNNNNNg8
(g9
g10
NtRp41222
(dp41223
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp41224
(dp41225
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp41226
(dp41227
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_2000_rev13
p41228
sbNg8
(g9
g10
NtRp41229
(dp41230
g13
Nsg14
Nsg15
Vsuperseded
p41231
sbtp41232
a(g8
(g9
g10
NtRp41233
(dp41234
g13
Nsg14
Nsg15
V4b87a0ed-be1b-4a66-b813-23321397e3fa
p41235
sbNg8
(g9
g10
NtRp41236
(dp41237
g13
Nsg14
Nsg15
VUrban Morphological Zones Changes between 1990 and 2000 (vector) - version 13, Apr. 2010
p41238
sbNNNNNg8
(g9
g10
NtRp41239
(dp41240
g13
Nsg14
Nsg15
VChanges between UMZs in 1990 and UMZs in 2000 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).
p41241
sbNNg8
(g9
g10
NtRp41242
(dp41243
g13
Nsg14
Nsg15
VFALSE
p41244
sbNNNg8
(g9
g10
NtRp41245
(dp41246
g13
Nsg14
Nsg15
VFALSE
p41247
sbNNg8
(g9
g10
NtRp41248
(dp41249
g13
Nsg14
Nsg15
VFALSE
p41250
sbNNg8
(g9
g10
NtRp41251
(dp41252
g13
Nsg14
Nsg15
VFALSE
p41253
sbNg8
(g9
g10
NtRp41254
(dp41255
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4b87a0ed-be1b-4a66-b813-23321397e3fa.png
p41256
sbg8
(g9
g10
NtRp41257
(dp41258
g13
Nsg14
Nsg15
VEPSG:3035
p41259
sbg8
(g9
g10
NtRp41260
(dp41261
g13
Nsg14
Nsg15
V2019-06-04
p41262
sbNNNg8
(g9
g10
NtRp41263
(dp41264
g13
Nsg14
Nsg15
Vvector
p41265
sbg8
(g9
g10
NtRp41266
(dp41267
g13
Nsg14
Nsg15
VSHP
p41268
sbNg8
(g9
g10
NtRp41269
(dp41270
g13
Nsg14
Nsg15
V1:100000
p41271
sbNg8
(g9
g10
NtRp41272
(dp41273
g13
Nsg14
Nsg15
VMethodology description:\u000a UMZ Changes have been calculated by unioning UMZ1990 and UMZ2000 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2000 and not in 1990 and negative changes when it was UMZ in 1990 and not in 2000. \u000aChanges:\u000a no changes applied \u000aPublish status:\u000a Ready for publish \u000aprocess steps\u000a \u000aDescription:\u000a Unioning of UMZ1990 and UMZ2000 \u000a\u000a \u000aDescription:\u000a Selection of areas being UMZ in 1990 or in 2000. Removal of areas being UMZ in both years (i.e. no changes) \u000a\u000a \u000aDescription:\u000a Creation of the attribute "Change", which define positive changes when they are new UMZ areas in 2000 and negative changes when it was UMZ in 1990 and not in 2000.
p41274
sbg8
(g9
g10
NtRp41275
(dp41276
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4b87a0ed-be1b-4a66-b813-23321397e3fa
p41277
sbNNg8
(g9
g10
NtRp41278
(dp41279
g13
Nsg14
Nsg15
VFALSE
p41280
sbg8
(g9
g10
NtRp41281
(dp41282
g13
Nsg14
Nsg15
VLand cover
p41283
sbg8
(g9
g10
NtRp41284
(dp41285
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p41286
sbg8
(g9
g10
NtRp41287
(dp41288
g13
Nsg14
Nsg15
VFALSE
p41289
sbg8
(g9
g10
NtRp41290
(dp41291
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41292
sbg8
(g9
g10
NtRp41293
(dp41294
g13
Nsg14
Nsg15
VFALSE
p41295
sbNNNNNNNg8
(g9
g10
NtRp41296
(dp41297
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp41298
(dp41299
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp41300
(dp41301
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_1990-2000_rev13
p41302
sbNg8
(g9
g10
NtRp41303
(dp41304
g13
Nsg14
Nsg15
Vsuperseded
p41305
sbtp41306
a(g8
(g9
g10
NtRp41307
(dp41308
g13
Nsg14
Nsg15
V94ed59be-4715-44e9-8c51-165fc337272f
p41309
sbNg8
(g9
g10
NtRp41310
(dp41311
g13
Nsg14
Nsg15
VCommon Database on Designated Areas (CDDA) 250m raster - version 8, Jun. 2010
p41312
sbNNNNNg8
(g9
g10
NtRp41313
(dp41314
g13
Nsg14
Nsg15
VConsolidated raster containing the original CDDA polygons.
p41315
sbNNg8
(g9
g10
NtRp41316
(dp41317
g13
Nsg14
Nsg15
VFALSE
p41318
sbNNNg8
(g9
g10
NtRp41319
(dp41320
g13
Nsg14
Nsg15
VFALSE
p41321
sbNNg8
(g9
g10
NtRp41322
(dp41323
g13
Nsg14
Nsg15
VFALSE
p41324
sbNNg8
(g9
g10
NtRp41325
(dp41326
g13
Nsg14
Nsg15
VFALSE
p41327
sbNg8
(g9
g10
NtRp41328
(dp41329
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94ed59be-4715-44e9-8c51-165fc337272f.png
p41330
sbg8
(g9
g10
NtRp41331
(dp41332
g13
Nsg14
Nsg15
VEPSG:3035
p41333
sbg8
(g9
g10
NtRp41334
(dp41335
g13
Nsg14
Nsg15
V2019-06-04
p41336
sbNNNg8
(g9
g10
NtRp41337
(dp41338
g13
Nsg14
Nsg15
Vgrid
p41339
sbg8
(g9
g10
NtRp41340
(dp41341
g13
Nsg14
Nsg15
VGTiff
p41342
sbNg8
(g9
g10
NtRp41343
(dp41344
g13
Nsg14
Nsg15
V250m
p41345
sbNg8
(g9
g10
NtRp41346
(dp41347
g13
Nsg14
Nsg15
VThis dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\u000a\u000aprocess steps\u000a \u000aDescription:\u000a Rasterisation \u000aResource name:\u000a CDDA_2009_polygon_Merge.shp \u000aResource date:\u000a 20091021
p41348
sbg8
(g9
g10
NtRp41349
(dp41350
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94ed59be-4715-44e9-8c51-165fc337272f
p41351
sbNNg8
(g9
g10
NtRp41352
(dp41353
g13
Nsg14
Nsg15
VFALSE
p41354
sbg8
(g9
g10
NtRp41355
(dp41356
g13
Nsg14
Nsg15
VProtected sites
p41357
sbg8
(g9
g10
NtRp41358
(dp41359
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p41360
sbg8
(g9
g10
NtRp41361
(dp41362
g13
Nsg14
Nsg15
VFALSE
p41363
sbg8
(g9
g10
NtRp41364
(dp41365
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41366
sbg8
(g9
g10
NtRp41367
(dp41368
g13
Nsg14
Nsg15
VFALSE
p41369
sbNNNNNNNg8
(g9
g10
NtRp41370
(dp41371
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp41372
(dp41373
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp41374
(dp41375
g13
Nsg14
Nsg15
Veea_r_3035_250_m_cdda_2009_rev8
p41376
sbNg8
(g9
g10
NtRp41377
(dp41378
g13
Nsg14
Nsg15
Vsuperseded
p41379
sbtp41380
a(g8
(g9
g10
NtRp41381
(dp41382
g13
Nsg14
Nsg15
V6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3
p41383
sbNg8
(g9
g10
NtRp41384
(dp41385
g13
Nsg14
Nsg15
VCommon Database on Designated Areas (CDDA) points for internal use - version 9, Nov. 2011
p41386
sbNNNNNg8
(g9
g10
NtRp41387
(dp41388
g13
Nsg14
Nsg15
VThe European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.
p41389
sbNNg8
(g9
g10
NtRp41390
(dp41391
g13
Nsg14
Nsg15
VFALSE
p41392
sbNNNg8
(g9
g10
NtRp41393
(dp41394
g13
Nsg14
Nsg15
VFALSE
p41395
sbNNg8
(g9
g10
NtRp41396
(dp41397
g13
Nsg14
Nsg15
VFALSE
p41398
sbNNg8
(g9
g10
NtRp41399
(dp41400
g13
Nsg14
Nsg15
VFALSE
p41401
sbNg8
(g9
g10
NtRp41402
(dp41403
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3.png
p41404
sbg8
(g9
g10
NtRp41405
(dp41406
g13
Nsg14
Nsg15
VEPSG:3035
p41407
sbg8
(g9
g10
NtRp41408
(dp41409
g13
Nsg14
Nsg15
V2019-06-04
p41410
sbNNNg8
(g9
g10
NtRp41411
(dp41412
g13
Nsg14
Nsg15
Vvector
p41413
sbg8
(g9
g10
NtRp41414
(dp41415
g13
Nsg14
Nsg15
VSHP
p41416
sbNg8
(g9
g10
NtRp41417
(dp41418
g13
Nsg14
Nsg15
V1:100000
p41419
sbNg8
(g9
g10
NtRp41420
(dp41421
g13
Nsg14
Nsg15
VIn 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\u000aOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.
p41422
sbg8
(g9
g10
NtRp41423
(dp41424
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3
p41425
sbNNg8
(g9
g10
NtRp41426
(dp41427
g13
Nsg14
Nsg15
VFALSE
p41428
sbg8
(g9
g10
NtRp41429
(dp41430
g13
Nsg14
Nsg15
VProtected sites
p41431
sbg8
(g9
g10
NtRp41432
(dp41433
g13
Nsg14
Nsg15
VData from some MS not for dissemination.
p41434
sbg8
(g9
g10
NtRp41435
(dp41436
g13
Nsg14
Nsg15
VFALSE
p41437
sbg8
(g9
g10
NtRp41438
(dp41439
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41440
sbg8
(g9
g10
NtRp41441
(dp41442
g13
Nsg14
Nsg15
VFALSE
p41443
sbNNNNNNNg8
(g9
g10
NtRp41444
(dp41445
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp41446
(dp41447
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp41448
(dp41449
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-point-internal_2011_rev9
p41450
sbNg8
(g9
g10
NtRp41451
(dp41452
g13
Nsg14
Nsg15
Vsuperseded
p41453
sbtp41454
a(g8
(g9
g10
NtRp41455
(dp41456
g13
Nsg14
Nsg15
Vabf75ccc-f95e-4a0c-bca4-5049927584d5
p41457
sbNg8
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VCLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced
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VConsolidated raster containing the original CDDA polygons.
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V1000m
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VThis dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\u000a\u000aprocess steps\u000a \u000aDescription:\u000a Rasterisation \u000aResource name:\u000a CDDA_2009_polygon_Merge.shp \u000aResource date:\u000a 20091021
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VFALSE
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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p41594
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p41597
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VCommon Database on Designated Areas (CDDA) polygons - version 8, Oct. 2009
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VData from 49 countries was compiled. Spatial data from 28 countries was delivered in 2009, the boundaries from the remaining 21 countries were extracted from the WDPA site (http://www.wdpa.org/). The data delivered in 2009 was reprojected from native projections to ETRS LAEA 5210, subsequent to this the data was checked for geometry validation, whether they lie within the Member State, whether the sitecode is present etc. The polygon data from each Member state was merged to form a European wide dataset. The projection is ETRS LAEA 5210
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae
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VData from some MS not for dissemination.
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VCLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aCHANGES: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - New country - Turkey has been added. - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Sea buffers around CLC data were improved so they are consistent accross all CLC layers. - Reprojected CLC90 data for Malta are included.\u000aV5: 07/2011 - No changes between V4 and V5 - Contains data for 27 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Sea buffer (25km) improved so they are consistent across all CLC layers - Nodata buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra, Bosnia and Hercegovina and Switzerland areas - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v2, were resolved - Contains 27 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VCLC1990 vector data cannot be disseminated. For internal use only.
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VMethodology description:\u000a UMZ 2006 dataset derives from Corine Land Cover 2006 raster. Urban classes are selected from CLC2006 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. \u000aChanges:\u000a None \u000aPublish status:\u000a Ready for publish \u000aprocess steps\u000a \u000aDescription:\u000a Reclassification of Corine Land Cover 2006 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \u000a\u000a \u000aDescription:\u000a Vectorisation of each reclassified set \u000a\u000a \u000aDescription:\u000a Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \u000a\u000a \u000aDescription:\u000a Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \u000a\u000a \u000aDescription:\u000a Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \u000a\u000a \u000aDescription:\u000a Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \u000a\u000a \u000aDescription:\u000a Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2006
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\u000aChanges:\u000aVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VThe European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.
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NtRp41944
(dp41945
g13
Nsg14
Nsg15
VFALSE
p41946
sbNNg8
(g9
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NtRp41947
(dp41948
g13
Nsg14
Nsg15
VFALSE
p41949
sbNg8
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NtRp41950
(dp41951
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/39da3d89-f177-40f0-8f50-f10b10187dea.png
p41952
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NtRp41953
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g13
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Nsg15
VEPSG:3035
p41955
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g10
NtRp41956
(dp41957
g13
Nsg14
Nsg15
V2019-06-04
p41958
sbNNNg8
(g9
g10
NtRp41959
(dp41960
g13
Nsg14
Nsg15
Vvector
p41961
sbg8
(g9
g10
NtRp41962
(dp41963
g13
Nsg14
Nsg15
VSHP
p41964
sbNg8
(g9
g10
NtRp41965
(dp41966
g13
Nsg14
Nsg15
V1:100000
p41967
sbNg8
(g9
g10
NtRp41968
(dp41969
g13
Nsg14
Nsg15
VIn 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\u000aOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.
p41970
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g10
NtRp41971
(dp41972
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39da3d89-f177-40f0-8f50-f10b10187dea
p41973
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(g9
g10
NtRp41974
(dp41975
g13
Nsg14
g74
sg15
V2011
p41976
sbg8
(g9
g10
NtRp41977
(dp41978
g13
Nsg14
g74
sg15
V2011
p41979
sbg8
(g9
g10
NtRp41980
(dp41981
g13
Nsg14
Nsg15
VFALSE
p41982
sbg8
(g9
g10
NtRp41983
(dp41984
g13
Nsg14
Nsg15
VProtected sites
p41985
sbg8
(g9
g10
NtRp41986
(dp41987
g13
Nsg14
Nsg15
VData from some MS not for dissemination.
p41988
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(g9
g10
NtRp41989
(dp41990
g13
Nsg14
Nsg15
VFALSE
p41991
sbg8
(g9
g10
NtRp41992
(dp41993
g13
Nsg14
Nsg15
VEuropean Environment Agency
p41994
sbg8
(g9
g10
NtRp41995
(dp41996
g13
Nsg14
Nsg15
VFALSE
p41997
sbNNNNNNNg8
(g9
g10
NtRp41998
(dp41999
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42000
(dp42001
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42002
(dp42003
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2011_rev9
p42004
sbNg8
(g9
g10
NtRp42005
(dp42006
g13
Nsg14
Nsg15
Vsuperseded
p42007
sbtp42008
a(g8
(g9
g10
NtRp42009
(dp42010
g13
Nsg14
Nsg15
V247db2ac-1881-41c9-b8e9-2a1fb4f98447
p42011
sbNg8
(g9
g10
NtRp42012
(dp42013
g13
Nsg14
Nsg15
VCorine Land Cover 1990 European seamless (vector) - version 17, Dec. 2013
p42014
sbNNNNNg8
(g9
g10
NtRp42015
(dp42016
g13
Nsg14
Nsg15
VCLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu
p42017
sbNNg8
(g9
g10
NtRp42018
(dp42019
g13
Nsg14
Nsg15
VFALSE
p42020
sbNNNg8
(g9
g10
NtRp42021
(dp42022
g13
Nsg14
Nsg15
VFALSE
p42023
sbNNg8
(g9
g10
NtRp42024
(dp42025
g13
Nsg14
Nsg15
VFALSE
p42026
sbNNg8
(g9
g10
NtRp42027
(dp42028
g13
Nsg14
Nsg15
VFALSE
p42029
sbNg8
(g9
g10
NtRp42030
(dp42031
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/247db2ac-1881-41c9-b8e9-2a1fb4f98447.png
p42032
sbg8
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NtRp42033
(dp42034
g13
Nsg14
Nsg15
VEPSG:3035
p42035
sbg8
(g9
g10
NtRp42036
(dp42037
g13
Nsg14
Nsg15
V2019-06-04
p42038
sbNNNg8
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NtRp42039
(dp42040
g13
Nsg14
Nsg15
Vvector
p42041
sbg8
(g9
g10
NtRp42042
(dp42043
g13
Nsg14
Nsg15
VFGeo|SQLite
p42044
sbNg8
(g9
g10
NtRp42045
(dp42046
g13
Nsg14
Nsg15
V1:100000
p42047
sbNg8
(g9
g10
NtRp42048
(dp42049
g13
Nsg14
Nsg15
VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\u000aSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\u000aV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\u000aV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
p42050
sbg8
(g9
g10
NtRp42051
(dp42052
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/247db2ac-1881-41c9-b8e9-2a1fb4f98447
p42053
sbg8
(g9
g10
NtRp42054
(dp42055
g13
Nsg14
g74
sg15
V1990
p42056
sbg8
(g9
g10
NtRp42057
(dp42058
g13
Nsg14
g74
sg15
V1990
p42059
sbg8
(g9
g10
NtRp42060
(dp42061
g13
Nsg14
Nsg15
VFALSE
p42062
sbg8
(g9
g10
NtRp42063
(dp42064
g13
Nsg14
Nsg15
VLand cover
p42065
sbg8
(g9
g10
NtRp42066
(dp42067
g13
Nsg14
Nsg15
VCLC1990 vector data cannot be disseminated. For internal use only.
p42068
sbg8
(g9
g10
NtRp42069
(dp42070
g13
Nsg14
Nsg15
VFALSE
p42071
sbg8
(g9
g10
NtRp42072
(dp42073
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42074
sbg8
(g9
g10
NtRp42075
(dp42076
g13
Nsg14
Nsg15
VFALSE
p42077
sbNNNNNNNg8
(g9
g10
NtRp42078
(dp42079
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42080
(dp42081
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42082
(dp42083
g13
Nsg14
Nsg15
Veea_v_3035_100_k_clc_1990_rev17
p42084
sbNg8
(g9
g10
NtRp42085
(dp42086
g13
Nsg14
Nsg15
Vobsolete
p42087
sbtp42088
a(g8
(g9
g10
NtRp42089
(dp42090
g13
Nsg14
Nsg15
Vc13ea28b-7054-4b17-afce-697298b7d966
p42091
sbNg8
(g9
g10
NtRp42092
(dp42093
g13
Nsg14
Nsg15
VCommon Database on Designated Areas (CDDA) 100m raster - version 8, Jun. 2010
p42094
sbNNNNNg8
(g9
g10
NtRp42095
(dp42096
g13
Nsg14
Nsg15
VConsolidated raster containing the original CDDA polygons.
p42097
sbNNg8
(g9
g10
NtRp42098
(dp42099
g13
Nsg14
Nsg15
VFALSE
p42100
sbNNNg8
(g9
g10
NtRp42101
(dp42102
g13
Nsg14
Nsg15
VFALSE
p42103
sbNNg8
(g9
g10
NtRp42104
(dp42105
g13
Nsg14
Nsg15
VFALSE
p42106
sbNNg8
(g9
g10
NtRp42107
(dp42108
g13
Nsg14
Nsg15
VFALSE
p42109
sbNg8
(g9
g10
NtRp42110
(dp42111
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c13ea28b-7054-4b17-afce-697298b7d966.png
p42112
sbg8
(g9
g10
NtRp42113
(dp42114
g13
Nsg14
Nsg15
VEPSG:3035
p42115
sbg8
(g9
g10
NtRp42116
(dp42117
g13
Nsg14
Nsg15
V2019-06-04
p42118
sbNNNg8
(g9
g10
NtRp42119
(dp42120
g13
Nsg14
Nsg15
Vgrid
p42121
sbg8
(g9
g10
NtRp42122
(dp42123
g13
Nsg14
Nsg15
VGTiff
p42124
sbNg8
(g9
g10
NtRp42125
(dp42126
g13
Nsg14
Nsg15
V100m
p42127
sbNg8
(g9
g10
NtRp42128
(dp42129
g13
Nsg14
Nsg15
VThis dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\u000a\u000aprocess steps\u000a \u000aDescription:\u000a Rasterisation \u000aResource name:\u000a CDDA_2009_polygon_Merge.shp \u000aResource date:\u000a 20091021
p42130
sbg8
(g9
g10
NtRp42131
(dp42132
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c13ea28b-7054-4b17-afce-697298b7d966
p42133
sbg8
(g9
g10
NtRp42134
(dp42135
g13
Nsg14
g74
sg15
V2009
p42136
sbg8
(g9
g10
NtRp42137
(dp42138
g13
Nsg14
g74
sg15
V2009
p42139
sbg8
(g9
g10
NtRp42140
(dp42141
g13
Nsg14
Nsg15
VFALSE
p42142
sbg8
(g9
g10
NtRp42143
(dp42144
g13
Nsg14
Nsg15
VProtected sites
p42145
sbg8
(g9
g10
NtRp42146
(dp42147
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p42148
sbg8
(g9
g10
NtRp42149
(dp42150
g13
Nsg14
Nsg15
VFALSE
p42151
sbg8
(g9
g10
NtRp42152
(dp42153
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42154
sbg8
(g9
g10
NtRp42155
(dp42156
g13
Nsg14
Nsg15
VFALSE
p42157
sbNNNNNNNg8
(g9
g10
NtRp42158
(dp42159
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42160
(dp42161
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42162
(dp42163
g13
Nsg14
Nsg15
Veea_r_3035_100_m_cdda_2009_rev8
p42164
sbNg8
(g9
g10
NtRp42165
(dp42166
g13
Nsg14
Nsg15
Vsuperseded
p42167
sbtp42168
a(g8
(g9
g10
NtRp42169
(dp42170
g13
Nsg14
Nsg15
V8c2a3ded-9ccb-472d-99d2-30f11107b10c
p42171
sbNg8
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g10
NtRp42172
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g13
Nsg14
Nsg15
VCorine Land Cover 1990 European seamless (vector) - version 13, Feb. 2010
p42174
sbNNNNNg8
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g10
NtRp42175
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g13
Nsg14
Nsg15
VCLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
p42177
sbNNg8
(g9
g10
NtRp42178
(dp42179
g13
Nsg14
Nsg15
VFALSE
p42180
sbNNNg8
(g9
g10
NtRp42181
(dp42182
g13
Nsg14
Nsg15
VFALSE
p42183
sbNNg8
(g9
g10
NtRp42184
(dp42185
g13
Nsg14
Nsg15
VFALSE
p42186
sbNNg8
(g9
g10
NtRp42187
(dp42188
g13
Nsg14
Nsg15
VFALSE
p42189
sbNg8
(g9
g10
NtRp42190
(dp42191
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c2a3ded-9ccb-472d-99d2-30f11107b10c.png
p42192
sbg8
(g9
g10
NtRp42193
(dp42194
g13
Nsg14
Nsg15
VEPSG:3035
p42195
sbg8
(g9
g10
NtRp42196
(dp42197
g13
Nsg14
Nsg15
V2019-06-04
p42198
sbNNNg8
(g9
g10
NtRp42199
(dp42200
g13
Nsg14
Nsg15
Vvector
p42201
sbg8
(g9
g10
NtRp42202
(dp42203
g13
Nsg14
Nsg15
VFGeo
p42204
sbNg8
(g9
g10
NtRp42205
(dp42206
g13
Nsg14
Nsg15
V1:100000
p42207
sbNg8
(g9
g10
NtRp42208
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g13
Nsg14
Nsg15
VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced
p42210
sbg8
(g9
g10
NtRp42211
(dp42212
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c2a3ded-9ccb-472d-99d2-30f11107b10c
p42213
sbg8
(g9
g10
NtRp42214
(dp42215
g13
Nsg14
g74
sg15
V1990
p42216
sbg8
(g9
g10
NtRp42217
(dp42218
g13
Nsg14
g74
sg15
V1990
p42219
sbg8
(g9
g10
NtRp42220
(dp42221
g13
Nsg14
Nsg15
VFALSE
p42222
sbg8
(g9
g10
NtRp42223
(dp42224
g13
Nsg14
Nsg15
VLand cover
p42225
sbg8
(g9
g10
NtRp42226
(dp42227
g13
Nsg14
Nsg15
VCLC1990 vector data cannot be disseminated. For internal use only.
p42228
sbg8
(g9
g10
NtRp42229
(dp42230
g13
Nsg14
Nsg15
VFALSE
p42231
sbg8
(g9
g10
NtRp42232
(dp42233
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42234
sbg8
(g9
g10
NtRp42235
(dp42236
g13
Nsg14
Nsg15
VFALSE
p42237
sbNNNNNNNg8
(g9
g10
NtRp42238
(dp42239
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42240
(dp42241
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42242
(dp42243
g13
Nsg14
Nsg15
Veea_v_3035_100_k_clc_1990_rev13
p42244
sbNg8
(g9
g10
NtRp42245
(dp42246
g13
Nsg14
Nsg15
Vobsolete
p42247
sbtp42248
a(g8
(g9
g10
NtRp42249
(dp42250
g13
Nsg14
Nsg15
Va566e4af-06cd-4c55-ac15-c943ac2fa2a8
p42251
sbNg8
(g9
g10
NtRp42252
(dp42253
g13
Nsg14
Nsg15
VCommon Database on Designated Areas (CDDA) polygons for internal use - version 10, Oct. 2012
p42254
sbNNNNNg8
(g9
g10
NtRp42255
(dp42256
g13
Nsg14
Nsg15
VThe European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.
p42257
sbNNg8
(g9
g10
NtRp42258
(dp42259
g13
Nsg14
Nsg15
VFALSE
p42260
sbNNNg8
(g9
g10
NtRp42261
(dp42262
g13
Nsg14
Nsg15
VFALSE
p42263
sbNNg8
(g9
g10
NtRp42264
(dp42265
g13
Nsg14
Nsg15
VFALSE
p42266
sbNNg8
(g9
g10
NtRp42267
(dp42268
g13
Nsg14
Nsg15
VFALSE
p42269
sbNg8
(g9
g10
NtRp42270
(dp42271
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a566e4af-06cd-4c55-ac15-c943ac2fa2a8.png
p42272
sbg8
(g9
g10
NtRp42273
(dp42274
g13
Nsg14
Nsg15
VEPSG:3035
p42275
sbg8
(g9
g10
NtRp42276
(dp42277
g13
Nsg14
Nsg15
V2019-06-04
p42278
sbNNNg8
(g9
g10
NtRp42279
(dp42280
g13
Nsg14
Nsg15
Vvector
p42281
sbg8
(g9
g10
NtRp42282
(dp42283
g13
Nsg14
Nsg15
VSHP
p42284
sbNg8
(g9
g10
NtRp42285
(dp42286
g13
Nsg14
Nsg15
V1:100000
p42287
sbNg8
(g9
g10
NtRp42288
(dp42289
g13
Nsg14
Nsg15
VIn 2012 for inclusion into version 10 of the ECDDA; 32 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2012, which was extracted from the previous ECDDA dataset, version 9.
p42290
sbg8
(g9
g10
NtRp42291
(dp42292
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a566e4af-06cd-4c55-ac15-c943ac2fa2a8
p42293
sbg8
(g9
g10
NtRp42294
(dp42295
g13
Nsg14
g74
sg15
V2012
p42296
sbg8
(g9
g10
NtRp42297
(dp42298
g13
Nsg14
g74
sg15
V2012
p42299
sbg8
(g9
g10
NtRp42300
(dp42301
g13
Nsg14
Nsg15
VFALSE
p42302
sbg8
(g9
g10
NtRp42303
(dp42304
g13
Nsg14
Nsg15
VProtected sites
p42305
sbg8
(g9
g10
NtRp42306
(dp42307
g13
Nsg14
Nsg15
VData from some MS not for dissemination.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (©Finnish Environment Institute, 2011).
p42308
sbg8
(g9
g10
NtRp42309
(dp42310
g13
Nsg14
Nsg15
VFALSE
p42311
sbg8
(g9
g10
NtRp42312
(dp42313
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42314
sbg8
(g9
g10
NtRp42315
(dp42316
g13
Nsg14
Nsg15
VFALSE
p42317
sbNNNNNNNg8
(g9
g10
NtRp42318
(dp42319
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42320
(dp42321
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42322
(dp42323
g13
Nsg14
Nsg15
Veea_v_3035_100_k_cdda-poly-internal_2012_rev10
p42324
sbNg8
(g9
g10
NtRp42325
(dp42326
g13
Nsg14
Nsg15
Vsuperseded
p42327
sbtp42328
a(g8
(g9
g10
NtRp42329
(dp42330
g13
Nsg14
Nsg15
V8226b910-c3d6-44c6-99da-555788fb8c77
p42331
sbNg8
(g9
g10
NtRp42332
(dp42333
g13
Nsg14
Nsg15
VUrban Morphological Zones 1990 (vector) - version 13, Apr. 2010
p42334
sbNNNNNg8
(g9
g10
NtRp42335
(dp42336
g13
Nsg14
Nsg15
VA UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 1990, version 13, by means of a complex methodology explained below.
p42337
sbNNg8
(g9
g10
NtRp42338
(dp42339
g13
Nsg14
Nsg15
VFALSE
p42340
sbNNNg8
(g9
g10
NtRp42341
(dp42342
g13
Nsg14
Nsg15
VFALSE
p42343
sbNNg8
(g9
g10
NtRp42344
(dp42345
g13
Nsg14
Nsg15
VFALSE
p42346
sbNNg8
(g9
g10
NtRp42347
(dp42348
g13
Nsg14
Nsg15
VFALSE
p42349
sbNg8
(g9
g10
NtRp42350
(dp42351
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8226b910-c3d6-44c6-99da-555788fb8c77.png
p42352
sbg8
(g9
g10
NtRp42353
(dp42354
g13
Nsg14
Nsg15
VEPSG:3035
p42355
sbg8
(g9
g10
NtRp42356
(dp42357
g13
Nsg14
Nsg15
V2019-06-04
p42358
sbNNNg8
(g9
g10
NtRp42359
(dp42360
g13
Nsg14
Nsg15
Vvector
p42361
sbg8
(g9
g10
NtRp42362
(dp42363
g13
Nsg14
Nsg15
VSHP
p42364
sbNg8
(g9
g10
NtRp42365
(dp42366
g13
Nsg14
Nsg15
V1:100000
p42367
sbNg8
(g9
g10
NtRp42368
(dp42369
g13
Nsg14
Nsg15
Vprocess steps\u000a\u000aDescription:\u000a Reclassification of Corine Land Cover 1990 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \u000a\u000a \u000aDescription:\u000a Vectorisation of each reclassified set \u000a\u000a \u000aDescription:\u000a Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \u000a\u000a \u000aDescription:\u000a Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \u000a\u000a \u000aDescription:\u000a Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \u000a\u000a \u000aDescription:\u000a Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \u000a\u000a \u000aDescription:\u000a Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \u000a\u000a \u000aDescription:\u000a Elimination of polygons below 25 ha. (CLC limit). Result: UMZ1990
p42370
sbg8
(g9
g10
NtRp42371
(dp42372
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8226b910-c3d6-44c6-99da-555788fb8c77
p42373
sbg8
(g9
g10
NtRp42374
(dp42375
g13
Nsg14
g74
sg15
V1990
p42376
sbg8
(g9
g10
NtRp42377
(dp42378
g13
Nsg14
g74
sg15
V1990
p42379
sbg8
(g9
g10
NtRp42380
(dp42381
g13
Nsg14
Nsg15
VFALSE
p42382
sbg8
(g9
g10
NtRp42383
(dp42384
g13
Nsg14
Nsg15
VLand cover
p42385
sbg8
(g9
g10
NtRp42386
(dp42387
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p42388
sbg8
(g9
g10
NtRp42389
(dp42390
g13
Nsg14
Nsg15
VFALSE
p42391
sbg8
(g9
g10
NtRp42392
(dp42393
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42394
sbg8
(g9
g10
NtRp42395
(dp42396
g13
Nsg14
Nsg15
VFALSE
p42397
sbNNNNNNNg8
(g9
g10
NtRp42398
(dp42399
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42400
(dp42401
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42402
(dp42403
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_1990_rev13
p42404
sbNg8
(g9
g10
NtRp42405
(dp42406
g13
Nsg14
Nsg15
Vsuperseded
p42407
sbtp42408
a(g8
(g9
g10
NtRp42409
(dp42410
g13
Nsg14
Nsg15
Ve20aecd3-8a23-4481-9662-73fe8e4dceaa
p42411
sbNg8
(g9
g10
NtRp42412
(dp42413
g13
Nsg14
Nsg15
VUrban Morphological Zones Changes between 2000 and 2006 (vector) - version 13, Apr. 2010
p42414
sbNNNNNg8
(g9
g10
NtRp42415
(dp42416
g13
Nsg14
Nsg15
VChanges between UMZs in 2000 and UMZs in 2006 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).
p42417
sbNNg8
(g9
g10
NtRp42418
(dp42419
g13
Nsg14
Nsg15
VFALSE
p42420
sbNNNg8
(g9
g10
NtRp42421
(dp42422
g13
Nsg14
Nsg15
VFALSE
p42423
sbNNg8
(g9
g10
NtRp42424
(dp42425
g13
Nsg14
Nsg15
VFALSE
p42426
sbNNg8
(g9
g10
NtRp42427
(dp42428
g13
Nsg14
Nsg15
VFALSE
p42429
sbNg8
(g9
g10
NtRp42430
(dp42431
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e20aecd3-8a23-4481-9662-73fe8e4dceaa.png
p42432
sbg8
(g9
g10
NtRp42433
(dp42434
g13
Nsg14
Nsg15
VEPSG:3035
p42435
sbg8
(g9
g10
NtRp42436
(dp42437
g13
Nsg14
Nsg15
V2019-06-04
p42438
sbNNNg8
(g9
g10
NtRp42439
(dp42440
g13
Nsg14
Nsg15
Vvector
p42441
sbg8
(g9
g10
NtRp42442
(dp42443
g13
Nsg14
Nsg15
VSHP
p42444
sbNg8
(g9
g10
NtRp42445
(dp42446
g13
Nsg14
Nsg15
V1:100000
p42447
sbNg8
(g9
g10
NtRp42448
(dp42449
g13
Nsg14
Nsg15
VMethodology description:\u000a UMZ Changes have been calculated by unioning UMZ2000 and UMZ2006 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2006 and not in 2000 and negative changes when it was UMZ in 2000 and not in 2006. \u000aChanges:\u000a no changes applied \u000aPublish status:\u000a Ready for publish \u000aprocess steps\u000a \u000aDescription:\u000a Unioning of UMZ2000 and UMZ2006 \u000a\u000a \u000aDescription:\u000a Selection of areas being UMZ in 2000 or in 2006. Removal of areas being UMZ in both years (i.e. no changes) \u000a\u000a \u000aDescription:\u000a Creation of the attribute "Change", which define positive changes when they are new UMZ areas in 2006 and negative changes when it was UMZ in 2000 and not in 2006.
p42450
sbg8
(g9
g10
NtRp42451
(dp42452
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e20aecd3-8a23-4481-9662-73fe8e4dceaa
p42453
sbg8
(g9
g10
NtRp42454
(dp42455
g13
Nsg14
g74
sg15
V2000
p42456
sbg8
(g9
g10
NtRp42457
(dp42458
g13
Nsg14
g74
sg15
V2006
p42459
sbg8
(g9
g10
NtRp42460
(dp42461
g13
Nsg14
Nsg15
VTRUE
p42462
sbg8
(g9
g10
NtRp42463
(dp42464
g13
Nsg14
Nsg15
VLand cover
p42465
sbg8
(g9
g10
NtRp42466
(dp42467
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p42468
sbg8
(g9
g10
NtRp42469
(dp42470
g13
Nsg14
Nsg15
VFALSE
p42471
sbg8
(g9
g10
NtRp42472
(dp42473
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42474
sbg8
(g9
g10
NtRp42475
(dp42476
g13
Nsg14
Nsg15
VFALSE
p42477
sbNNNNNNNg8
(g9
g10
NtRp42478
(dp42479
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42480
(dp42481
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42482
(dp42483
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_2000-2006_rev13
p42484
sbNg8
(g9
g10
NtRp42485
(dp42486
g13
Nsg14
Nsg15
Vsuperseded
p42487
sbtp42488
a(g8
(g9
g10
NtRp42489
(dp42490
g13
Nsg14
Nsg15
V50a2e429-75da-4209-9f8a-c828a4ac2d4c
p42491
sbNg8
(g9
g10
NtRp42492
(dp42493
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (100km), May 2011
p42494
sbNNNNNg8
(g9
g10
NtRp42495
(dp42496
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p42497
sbg8
(g23
g10
NtRp42498
(dp42499
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p42500
sbNg8
(g9
g10
NtRp42501
(dp42502
g13
Nsg14
Nsg15
VFALSE
p42503
sbNNNg8
(g9
g10
NtRp42504
(dp42505
g13
Nsg14
Nsg15
VFALSE
p42506
sbNNg8
(g9
g10
NtRp42507
(dp42508
g13
Nsg14
Nsg15
VFALSE
p42509
sbNNg8
(g9
g10
NtRp42510
(dp42511
g13
Nsg14
Nsg15
VFALSE
p42512
sbNg8
(g9
g10
NtRp42513
(dp42514
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/50a2e429-75da-4209-9f8a-c828a4ac2d4c.png
p42515
sbg8
(g9
g10
NtRp42516
(dp42517
g13
Nsg14
Nsg15
VEPSG:3035
p42518
sbg8
(g9
g10
NtRp42519
(dp42520
g13
Nsg14
Nsg15
V2019-06-04
p42521
sbNNNg8
(g9
g10
NtRp42522
(dp42523
g13
Nsg14
Nsg15
Vvector
p42524
sbg8
(g9
g10
NtRp42525
(dp42526
g13
Nsg14
Nsg15
VSHP
p42527
sbNg8
(g9
g10
NtRp42528
(dp42529
g13
Nsg14
Nsg15
V100000m
p42530
sbNg8
(g9
g10
NtRp42531
(dp42532
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p42533
sbg8
(g9
g10
NtRp42534
(dp42535
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50a2e429-75da-4209-9f8a-c828a4ac2d4c
p42536
sbNNg8
(g9
g10
NtRp42537
(dp42538
g13
Nsg14
Nsg15
VFALSE
p42539
sbg8
(g9
g10
NtRp42540
(dp42541
g13
Nsg14
Nsg15
VGeographical grid systems
p42542
sbg8
(g9
g10
NtRp42543
(dp42544
g13
Nsg14
Nsg15
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p42853
sbg8
(g9
g10
NtRp42854
(dp42855
g13
Nsg14
Nsg15
VFALSE
p42856
sbg8
(g9
g10
NtRp42857
(dp42858
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42859
sbg8
(g9
g10
NtRp42860
(dp42861
g13
Nsg14
Nsg15
VFALSE
p42862
sbNNNNNNNg8
(g9
g10
NtRp42863
(dp42864
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42865
(dp42866
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42867
(dp42868
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt-20_2011
p42869
sbNg8
(g9
g10
NtRp42870
(dp42871
g13
Nsg14
Nsg15
Vobsolete
p42872
sbtp42873
a(g8
(g9
g10
NtRp42874
(dp42875
g13
Nsg14
Nsg15
V6e6af1af-3fd4-4cca-949f-f6839ef99871
p42876
sbNg8
(g9
g10
NtRp42877
(dp42878
g13
Nsg14
Nsg15
VEEA reference grid for Cyprus (100km), May 2011
p42879
sbNNNNNg8
(g9
g10
NtRp42880
(dp42881
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p42882
sbg8
(g23
g10
NtRp42883
(dp42884
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p42885
sbNg8
(g9
g10
NtRp42886
(dp42887
g13
Nsg14
Nsg15
VFALSE
p42888
sbNNNg8
(g9
g10
NtRp42889
(dp42890
g13
Nsg14
Nsg15
VFALSE
p42891
sbNNg8
(g9
g10
NtRp42892
(dp42893
g13
Nsg14
Nsg15
VFALSE
p42894
sbNNg8
(g9
g10
NtRp42895
(dp42896
g13
Nsg14
Nsg15
VFALSE
p42897
sbNg8
(g9
g10
NtRp42898
(dp42899
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6af1af-3fd4-4cca-949f-f6839ef99871.png
p42900
sbg8
(g9
g10
NtRp42901
(dp42902
g13
Nsg14
Nsg15
VEPSG:3035
p42903
sbg8
(g9
g10
NtRp42904
(dp42905
g13
Nsg14
Nsg15
V2019-06-04
p42906
sbNNNg8
(g9
g10
NtRp42907
(dp42908
g13
Nsg14
Nsg15
Vvector
p42909
sbg8
(g9
g10
NtRp42910
(dp42911
g13
Nsg14
Nsg15
VSHP
p42912
sbNg8
(g9
g10
NtRp42913
(dp42914
g13
Nsg14
Nsg15
V100000m
p42915
sbNg8
(g9
g10
NtRp42916
(dp42917
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p42918
sbg8
(g9
g10
NtRp42919
(dp42920
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6af1af-3fd4-4cca-949f-f6839ef99871
p42921
sbNNg8
(g9
g10
NtRp42922
(dp42923
g13
Nsg14
Nsg15
VFALSE
p42924
sbg8
(g9
g10
NtRp42925
(dp42926
g13
Nsg14
Nsg15
VGeographical grid systems
p42927
sbg8
(g9
g10
NtRp42928
(dp42929
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p42930
sbg8
(g9
g10
NtRp42931
(dp42932
g13
Nsg14
Nsg15
VFALSE
p42933
sbg8
(g9
g10
NtRp42934
(dp42935
g13
Nsg14
Nsg15
VEuropean Environment Agency
p42936
sbg8
(g9
g10
NtRp42937
(dp42938
g13
Nsg14
Nsg15
VFALSE
p42939
sbNNNNNNNg8
(g9
g10
NtRp42940
(dp42941
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp42942
(dp42943
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp42944
(dp42945
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-cy_2011
p42946
sbNg8
(g9
g10
NtRp42947
(dp42948
g13
Nsg14
Nsg15
Vobsolete
p42949
sbtp42950
a(g8
(g9
g10
NtRp42951
(dp42952
g13
Nsg14
Nsg15
V7de2fa27-e9a5-4ebf-a7ba-825039c1d95c
p42953
sbNg8
(g9
g10
NtRp42954
(dp42955
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (10km), May 2011
p42956
sbNNNNNg8
(g9
g10
NtRp42957
(dp42958
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p42959
sbg8
(g23
g10
NtRp42960
(dp42961
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p42962
sbNg8
(g9
g10
NtRp42963
(dp42964
g13
Nsg14
Nsg15
VFALSE
p42965
sbNNNg8
(g9
g10
NtRp42966
(dp42967
g13
Nsg14
Nsg15
VFALSE
p42968
sbNNg8
(g9
g10
NtRp42969
(dp42970
g13
Nsg14
Nsg15
VFALSE
p42971
sbNNg8
(g9
g10
NtRp42972
(dp42973
g13
Nsg14
Nsg15
VFALSE
p42974
sbNg8
(g9
g10
NtRp42975
(dp42976
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7de2fa27-e9a5-4ebf-a7ba-825039c1d95c.png
p42977
sbg8
(g9
g10
NtRp42978
(dp42979
g13
Nsg14
Nsg15
VEPSG:3035
p42980
sbg8
(g9
g10
NtRp42981
(dp42982
g13
Nsg14
Nsg15
V2019-06-04
p42983
sbNNNg8
(g9
g10
NtRp42984
(dp42985
g13
Nsg14
Nsg15
Vvector
p42986
sbg8
(g9
g10
NtRp42987
(dp42988
g13
Nsg14
Nsg15
VSHP
p42989
sbNg8
(g9
g10
NtRp42990
(dp42991
g13
Nsg14
Nsg15
V10000m
p42992
sbNg8
(g9
g10
NtRp42993
(dp42994
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p42995
sbg8
(g9
g10
NtRp42996
(dp42997
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7de2fa27-e9a5-4ebf-a7ba-825039c1d95c
p42998
sbg8
(g9
g10
NtRp42999
(dp43000
g13
Nsg14
g74
sg15
V2011
p43001
sbg8
(g9
g10
NtRp43002
(dp43003
g13
Nsg14
g74
sg15
V2011
p43004
sbg8
(g9
g10
NtRp43005
(dp43006
g13
Nsg14
Nsg15
VFALSE
p43007
sbg8
(g9
g10
NtRp43008
(dp43009
g13
Nsg14
Nsg15
VGeographical grid systems
p43010
sbg8
(g9
g10
NtRp43011
(dp43012
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43013
sbg8
(g9
g10
NtRp43014
(dp43015
g13
Nsg14
Nsg15
VFALSE
p43016
sbg8
(g9
g10
NtRp43017
(dp43018
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43019
sbg8
(g9
g10
NtRp43020
(dp43021
g13
Nsg14
Nsg15
VFALSE
p43022
sbNNNNNNNg8
(g9
g10
NtRp43023
(dp43024
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43025
(dp43026
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43027
(dp43028
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lu_2011
p43029
sbNg8
(g9
g10
NtRp43030
(dp43031
g13
Nsg14
Nsg15
Vobsolete
p43032
sbtp43033
a(g8
(g9
g10
NtRp43034
(dp43035
g13
Nsg14
Nsg15
Vf11d6b89-1a13-46b7-b900-a6629539f353
p43036
sbNg8
(g9
g10
NtRp43037
(dp43038
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (100km), May 2011
p43039
sbNNNNNg8
(g9
g10
NtRp43040
(dp43041
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43042
sbg8
(g23
g10
NtRp43043
(dp43044
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43045
sbNg8
(g9
g10
NtRp43046
(dp43047
g13
Nsg14
Nsg15
VFALSE
p43048
sbNNNg8
(g9
g10
NtRp43049
(dp43050
g13
Nsg14
Nsg15
VFALSE
p43051
sbNNg8
(g9
g10
NtRp43052
(dp43053
g13
Nsg14
Nsg15
VFALSE
p43054
sbNNg8
(g9
g10
NtRp43055
(dp43056
g13
Nsg14
Nsg15
VFALSE
p43057
sbNg8
(g9
g10
NtRp43058
(dp43059
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f11d6b89-1a13-46b7-b900-a6629539f353.png
p43060
sbg8
(g9
g10
NtRp43061
(dp43062
g13
Nsg14
Nsg15
VEPSG:3035
p43063
sbg8
(g9
g10
NtRp43064
(dp43065
g13
Nsg14
Nsg15
V2019-06-04
p43066
sbNNNg8
(g9
g10
NtRp43067
(dp43068
g13
Nsg14
Nsg15
Vvector
p43069
sbg8
(g9
g10
NtRp43070
(dp43071
g13
Nsg14
Nsg15
VSHP
p43072
sbNg8
(g9
g10
NtRp43073
(dp43074
g13
Nsg14
Nsg15
V100000m
p43075
sbNg8
(g9
g10
NtRp43076
(dp43077
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43078
sbg8
(g9
g10
NtRp43079
(dp43080
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f11d6b89-1a13-46b7-b900-a6629539f353
p43081
sbg8
(g9
g10
NtRp43082
(dp43083
g13
Nsg14
g74
sg15
V2011
p43084
sbg8
(g9
g10
NtRp43085
(dp43086
g13
Nsg14
g74
sg15
V2011
p43087
sbg8
(g9
g10
NtRp43088
(dp43089
g13
Nsg14
Nsg15
VFALSE
p43090
sbg8
(g9
g10
NtRp43091
(dp43092
g13
Nsg14
Nsg15
VGeographical grid systems
p43093
sbg8
(g9
g10
NtRp43094
(dp43095
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43096
sbg8
(g9
g10
NtRp43097
(dp43098
g13
Nsg14
Nsg15
VFALSE
p43099
sbg8
(g9
g10
NtRp43100
(dp43101
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43102
sbg8
(g9
g10
NtRp43103
(dp43104
g13
Nsg14
Nsg15
VFALSE
p43105
sbNNNNNNNg8
(g9
g10
NtRp43106
(dp43107
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43108
(dp43109
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43110
(dp43111
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lv_2011
p43112
sbNg8
(g9
g10
NtRp43113
(dp43114
g13
Nsg14
Nsg15
Vobsolete
p43115
sbtp43116
a(g8
(g9
g10
NtRp43117
(dp43118
g13
Nsg14
Nsg15
Vacc58574-941b-48c3-acfb-64461daf0dca
p43119
sbNg8
(g9
g10
NtRp43120
(dp43121
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (1km), May 2011
p43122
sbNNNNNg8
(g9
g10
NtRp43123
(dp43124
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43125
sbg8
(g23
g10
NtRp43126
(dp43127
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43128
sbNg8
(g9
g10
NtRp43129
(dp43130
g13
Nsg14
Nsg15
VFALSE
p43131
sbNNNg8
(g9
g10
NtRp43132
(dp43133
g13
Nsg14
Nsg15
VFALSE
p43134
sbNNg8
(g9
g10
NtRp43135
(dp43136
g13
Nsg14
Nsg15
VFALSE
p43137
sbNNg8
(g9
g10
NtRp43138
(dp43139
g13
Nsg14
Nsg15
VFALSE
p43140
sbNg8
(g9
g10
NtRp43141
(dp43142
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/acc58574-941b-48c3-acfb-64461daf0dca.png
p43143
sbg8
(g9
g10
NtRp43144
(dp43145
g13
Nsg14
Nsg15
VEPSG:3035
p43146
sbg8
(g9
g10
NtRp43147
(dp43148
g13
Nsg14
Nsg15
V2019-06-04
p43149
sbNNNg8
(g9
g10
NtRp43150
(dp43151
g13
Nsg14
Nsg15
Vvector
p43152
sbg8
(g9
g10
NtRp43153
(dp43154
g13
Nsg14
Nsg15
VSHP
p43155
sbNg8
(g9
g10
NtRp43156
(dp43157
g13
Nsg14
Nsg15
V1000m
p43158
sbNg8
(g9
g10
NtRp43159
(dp43160
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43161
sbg8
(g9
g10
NtRp43162
(dp43163
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acc58574-941b-48c3-acfb-64461daf0dca
p43164
sbg8
(g9
g10
NtRp43165
(dp43166
g13
Nsg14
g74
sg15
V2011
p43167
sbg8
(g9
g10
NtRp43168
(dp43169
g13
Nsg14
g74
sg15
V2011
p43170
sbg8
(g9
g10
NtRp43171
(dp43172
g13
Nsg14
Nsg15
VFALSE
p43173
sbg8
(g9
g10
NtRp43174
(dp43175
g13
Nsg14
Nsg15
VGeographical grid systems
p43176
sbg8
(g9
g10
NtRp43177
(dp43178
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43179
sbg8
(g9
g10
NtRp43180
(dp43181
g13
Nsg14
Nsg15
VFALSE
p43182
sbg8
(g9
g10
NtRp43183
(dp43184
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43185
sbg8
(g9
g10
NtRp43186
(dp43187
g13
Nsg14
Nsg15
VFALSE
p43188
sbNNNNNNNg8
(g9
g10
NtRp43189
(dp43190
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43191
(dp43192
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43193
(dp43194
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-sk_2011
p43195
sbNg8
(g9
g10
NtRp43196
(dp43197
g13
Nsg14
Nsg15
Vobsolete
p43198
sbtp43199
a(g8
(g9
g10
NtRp43200
(dp43201
g13
Nsg14
Nsg15
V1808bf4b-761f-4ffd-a000-dececbda5e0e
p43202
sbNg8
(g9
g10
NtRp43203
(dp43204
g13
Nsg14
Nsg15
VEEA reference grid for Greece (10km), May 2011
p43205
sbNNNNNg8
(g9
g10
NtRp43206
(dp43207
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43208
sbg8
(g23
g10
NtRp43209
(dp43210
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43211
sbNg8
(g9
g10
NtRp43212
(dp43213
g13
Nsg14
Nsg15
VFALSE
p43214
sbNNNg8
(g9
g10
NtRp43215
(dp43216
g13
Nsg14
Nsg15
VFALSE
p43217
sbNNg8
(g9
g10
NtRp43218
(dp43219
g13
Nsg14
Nsg15
VFALSE
p43220
sbNNg8
(g9
g10
NtRp43221
(dp43222
g13
Nsg14
Nsg15
VFALSE
p43223
sbNg8
(g9
g10
NtRp43224
(dp43225
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1808bf4b-761f-4ffd-a000-dececbda5e0e.png
p43226
sbg8
(g9
g10
NtRp43227
(dp43228
g13
Nsg14
Nsg15
VEPSG:3035
p43229
sbg8
(g9
g10
NtRp43230
(dp43231
g13
Nsg14
Nsg15
V2019-06-04
p43232
sbNNNg8
(g9
g10
NtRp43233
(dp43234
g13
Nsg14
Nsg15
Vvector
p43235
sbg8
(g9
g10
NtRp43236
(dp43237
g13
Nsg14
Nsg15
VSHP
p43238
sbNg8
(g9
g10
NtRp43239
(dp43240
g13
Nsg14
Nsg15
V10000m
p43241
sbNg8
(g9
g10
NtRp43242
(dp43243
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43244
sbg8
(g9
g10
NtRp43245
(dp43246
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1808bf4b-761f-4ffd-a000-dececbda5e0e
p43247
sbg8
(g9
g10
NtRp43248
(dp43249
g13
Nsg14
g74
sg15
V2011
p43250
sbg8
(g9
g10
NtRp43251
(dp43252
g13
Nsg14
g74
sg15
V2011
p43253
sbg8
(g9
g10
NtRp43254
(dp43255
g13
Nsg14
Nsg15
VFALSE
p43256
sbg8
(g9
g10
NtRp43257
(dp43258
g13
Nsg14
Nsg15
VGeographical grid systems
p43259
sbg8
(g9
g10
NtRp43260
(dp43261
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43262
sbg8
(g9
g10
NtRp43263
(dp43264
g13
Nsg14
Nsg15
VFALSE
p43265
sbg8
(g9
g10
NtRp43266
(dp43267
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43268
sbg8
(g9
g10
NtRp43269
(dp43270
g13
Nsg14
Nsg15
VFALSE
p43271
sbNNNNNNNg8
(g9
g10
NtRp43272
(dp43273
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43274
(dp43275
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43276
(dp43277
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gr_2011
p43278
sbNg8
(g9
g10
NtRp43279
(dp43280
g13
Nsg14
Nsg15
Vobsolete
p43281
sbtp43282
a(g8
(g9
g10
NtRp43283
(dp43284
g13
Nsg14
Nsg15
V9e80fdac-a518-462b-942b-82701035c079
p43285
sbNg8
(g9
g10
NtRp43286
(dp43287
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (1km), May 2011
p43288
sbNNNNNg8
(g9
g10
NtRp43289
(dp43290
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43291
sbg8
(g23
g10
NtRp43292
(dp43293
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43294
sbNg8
(g9
g10
NtRp43295
(dp43296
g13
Nsg14
Nsg15
VFALSE
p43297
sbNNNg8
(g9
g10
NtRp43298
(dp43299
g13
Nsg14
Nsg15
VFALSE
p43300
sbNNg8
(g9
g10
NtRp43301
(dp43302
g13
Nsg14
Nsg15
VFALSE
p43303
sbNNg8
(g9
g10
NtRp43304
(dp43305
g13
Nsg14
Nsg15
VFALSE
p43306
sbNg8
(g9
g10
NtRp43307
(dp43308
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e80fdac-a518-462b-942b-82701035c079.png
p43309
sbg8
(g9
g10
NtRp43310
(dp43311
g13
Nsg14
Nsg15
VEPSG:3035
p43312
sbg8
(g9
g10
NtRp43313
(dp43314
g13
Nsg14
Nsg15
V2019-06-04
p43315
sbNNNg8
(g9
g10
NtRp43316
(dp43317
g13
Nsg14
Nsg15
Vvector
p43318
sbg8
(g9
g10
NtRp43319
(dp43320
g13
Nsg14
Nsg15
VSHP
p43321
sbNg8
(g9
g10
NtRp43322
(dp43323
g13
Nsg14
Nsg15
V1000m
p43324
sbNg8
(g9
g10
NtRp43325
(dp43326
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43327
sbg8
(g9
g10
NtRp43328
(dp43329
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e80fdac-a518-462b-942b-82701035c079
p43330
sbg8
(g9
g10
NtRp43331
(dp43332
g13
Nsg14
g74
sg15
V2011
p43333
sbg8
(g9
g10
NtRp43334
(dp43335
g13
Nsg14
g74
sg15
V2011
p43336
sbg8
(g9
g10
NtRp43337
(dp43338
g13
Nsg14
Nsg15
VFALSE
p43339
sbg8
(g9
g10
NtRp43340
(dp43341
g13
Nsg14
Nsg15
VGeographical grid systems
p43342
sbg8
(g9
g10
NtRp43343
(dp43344
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43345
sbg8
(g9
g10
NtRp43346
(dp43347
g13
Nsg14
Nsg15
VFALSE
p43348
sbg8
(g9
g10
NtRp43349
(dp43350
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43351
sbg8
(g9
g10
NtRp43352
(dp43353
g13
Nsg14
Nsg15
VFALSE
p43354
sbNNNNNNNg8
(g9
g10
NtRp43355
(dp43356
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43357
(dp43358
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43359
(dp43360
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-cz_2011
p43361
sbNg8
(g9
g10
NtRp43362
(dp43363
g13
Nsg14
Nsg15
Vobsolete
p43364
sbtp43365
a(g8
(g9
g10
NtRp43366
(dp43367
g13
Nsg14
Nsg15
V89ee806c-5804-40a6-a011-44a4b96478d9
p43368
sbNg8
(g9
g10
NtRp43369
(dp43370
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (10km), May 2011
p43371
sbNNNNNg8
(g9
g10
NtRp43372
(dp43373
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43374
sbg8
(g23
g10
NtRp43375
(dp43376
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43377
sbNg8
(g9
g10
NtRp43378
(dp43379
g13
Nsg14
Nsg15
VFALSE
p43380
sbNNNg8
(g9
g10
NtRp43381
(dp43382
g13
Nsg14
Nsg15
VFALSE
p43383
sbNNg8
(g9
g10
NtRp43384
(dp43385
g13
Nsg14
Nsg15
VFALSE
p43386
sbNNg8
(g9
g10
NtRp43387
(dp43388
g13
Nsg14
Nsg15
VFALSE
p43389
sbNg8
(g9
g10
NtRp43390
(dp43391
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89ee806c-5804-40a6-a011-44a4b96478d9.png
p43392
sbg8
(g9
g10
NtRp43393
(dp43394
g13
Nsg14
Nsg15
VEPSG:3035
p43395
sbg8
(g9
g10
NtRp43396
(dp43397
g13
Nsg14
Nsg15
V2019-06-04
p43398
sbNNNg8
(g9
g10
NtRp43399
(dp43400
g13
Nsg14
Nsg15
Vvector
p43401
sbg8
(g9
g10
NtRp43402
(dp43403
g13
Nsg14
Nsg15
VSHP
p43404
sbNg8
(g9
g10
NtRp43405
(dp43406
g13
Nsg14
Nsg15
V10000m
p43407
sbNg8
(g9
g10
NtRp43408
(dp43409
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43410
sbg8
(g9
g10
NtRp43411
(dp43412
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9
p43413
sbg8
(g9
g10
NtRp43414
(dp43415
g13
Nsg14
g74
sg15
V2011
p43416
sbg8
(g9
g10
NtRp43417
(dp43418
g13
Nsg14
g74
sg15
V2011
p43419
sbg8
(g9
g10
NtRp43420
(dp43421
g13
Nsg14
Nsg15
VFALSE
p43422
sbg8
(g9
g10
NtRp43423
(dp43424
g13
Nsg14
Nsg15
VGeographical grid systems
p43425
sbg8
(g9
g10
NtRp43426
(dp43427
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43428
sbg8
(g9
g10
NtRp43429
(dp43430
g13
Nsg14
Nsg15
VFALSE
p43431
sbg8
(g9
g10
NtRp43432
(dp43433
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43434
sbg8
(g9
g10
NtRp43435
(dp43436
g13
Nsg14
Nsg15
VFALSE
p43437
sbNNNNNNNg8
(g9
g10
NtRp43438
(dp43439
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43440
(dp43441
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43442
(dp43443
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ch_2011
p43444
sbNg8
(g9
g10
NtRp43445
(dp43446
g13
Nsg14
Nsg15
Vobsolete
p43447
sbtp43448
a(g8
(g9
g10
NtRp43449
(dp43450
g13
Nsg14
Nsg15
Vac3b8096-757f-42fc-a0c8-d7953e7e3f48
p43451
sbNg8
(g9
g10
NtRp43452
(dp43453
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (1km), May 2011
p43454
sbNNNNNg8
(g9
g10
NtRp43455
(dp43456
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43457
sbg8
(g23
g10
NtRp43458
(dp43459
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43460
sbNg8
(g9
g10
NtRp43461
(dp43462
g13
Nsg14
Nsg15
VFALSE
p43463
sbNNNg8
(g9
g10
NtRp43464
(dp43465
g13
Nsg14
Nsg15
VFALSE
p43466
sbNNg8
(g9
g10
NtRp43467
(dp43468
g13
Nsg14
Nsg15
VFALSE
p43469
sbNNg8
(g9
g10
NtRp43470
(dp43471
g13
Nsg14
Nsg15
VFALSE
p43472
sbNg8
(g9
g10
NtRp43473
(dp43474
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac3b8096-757f-42fc-a0c8-d7953e7e3f48.png
p43475
sbg8
(g9
g10
NtRp43476
(dp43477
g13
Nsg14
Nsg15
VEPSG:3035
p43478
sbg8
(g9
g10
NtRp43479
(dp43480
g13
Nsg14
Nsg15
V2019-06-04
p43481
sbNNNg8
(g9
g10
NtRp43482
(dp43483
g13
Nsg14
Nsg15
Vvector
p43484
sbg8
(g9
g10
NtRp43485
(dp43486
g13
Nsg14
Nsg15
VSHP
p43487
sbNg8
(g9
g10
NtRp43488
(dp43489
g13
Nsg14
Nsg15
V1000m
p43490
sbNg8
(g9
g10
NtRp43491
(dp43492
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43493
sbg8
(g9
g10
NtRp43494
(dp43495
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b8096-757f-42fc-a0c8-d7953e7e3f48
p43496
sbg8
(g9
g10
NtRp43497
(dp43498
g13
Nsg14
g74
sg15
V2011
p43499
sbg8
(g9
g10
NtRp43500
(dp43501
g13
Nsg14
g74
sg15
V2011
p43502
sbg8
(g9
g10
NtRp43503
(dp43504
g13
Nsg14
Nsg15
VFALSE
p43505
sbg8
(g9
g10
NtRp43506
(dp43507
g13
Nsg14
Nsg15
VGeographical grid systems
p43508
sbg8
(g9
g10
NtRp43509
(dp43510
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43511
sbg8
(g9
g10
NtRp43512
(dp43513
g13
Nsg14
Nsg15
VFALSE
p43514
sbg8
(g9
g10
NtRp43515
(dp43516
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43517
sbg8
(g9
g10
NtRp43518
(dp43519
g13
Nsg14
Nsg15
VFALSE
p43520
sbNNNNNNNg8
(g9
g10
NtRp43521
(dp43522
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43523
(dp43524
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43525
(dp43526
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gb_2011
p43527
sbNg8
(g9
g10
NtRp43528
(dp43529
g13
Nsg14
Nsg15
Vobsolete
p43530
sbtp43531
a(g8
(g9
g10
NtRp43532
(dp43533
g13
Nsg14
Nsg15
V7d7153c4-3d31-4ec6-ae64-db53afe95798
p43534
sbNg8
(g9
g10
NtRp43535
(dp43536
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (100km), May 2011
p43537
sbNNNNNg8
(g9
g10
NtRp43538
(dp43539
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43540
sbg8
(g23
g10
NtRp43541
(dp43542
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43543
sbNg8
(g9
g10
NtRp43544
(dp43545
g13
Nsg14
Nsg15
VFALSE
p43546
sbNNNg8
(g9
g10
NtRp43547
(dp43548
g13
Nsg14
Nsg15
VFALSE
p43549
sbNNg8
(g9
g10
NtRp43550
(dp43551
g13
Nsg14
Nsg15
VFALSE
p43552
sbNNg8
(g9
g10
NtRp43553
(dp43554
g13
Nsg14
Nsg15
VFALSE
p43555
sbNg8
(g9
g10
NtRp43556
(dp43557
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7d7153c4-3d31-4ec6-ae64-db53afe95798.png
p43558
sbg8
(g9
g10
NtRp43559
(dp43560
g13
Nsg14
Nsg15
VEPSG:3035
p43561
sbg8
(g9
g10
NtRp43562
(dp43563
g13
Nsg14
Nsg15
V2019-06-04
p43564
sbNNNg8
(g9
g10
NtRp43565
(dp43566
g13
Nsg14
Nsg15
Vvector
p43567
sbg8
(g9
g10
NtRp43568
(dp43569
g13
Nsg14
Nsg15
VSHP
p43570
sbNg8
(g9
g10
NtRp43571
(dp43572
g13
Nsg14
Nsg15
V100000m
p43573
sbNg8
(g9
g10
NtRp43574
(dp43575
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43576
sbg8
(g9
g10
NtRp43577
(dp43578
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7d7153c4-3d31-4ec6-ae64-db53afe95798
p43579
sbg8
(g9
g10
NtRp43580
(dp43581
g13
Nsg14
g74
sg15
V2011
p43582
sbg8
(g9
g10
NtRp43583
(dp43584
g13
Nsg14
g74
sg15
V2011
p43585
sbg8
(g9
g10
NtRp43586
(dp43587
g13
Nsg14
Nsg15
VFALSE
p43588
sbg8
(g9
g10
NtRp43589
(dp43590
g13
Nsg14
Nsg15
VGeographical grid systems
p43591
sbg8
(g9
g10
NtRp43592
(dp43593
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43594
sbg8
(g9
g10
NtRp43595
(dp43596
g13
Nsg14
Nsg15
VFALSE
p43597
sbg8
(g9
g10
NtRp43598
(dp43599
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43600
sbg8
(g9
g10
NtRp43601
(dp43602
g13
Nsg14
Nsg15
VFALSE
p43603
sbNNNNNNNg8
(g9
g10
NtRp43604
(dp43605
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43606
(dp43607
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43608
(dp43609
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-li_2011
p43610
sbNg8
(g9
g10
NtRp43611
(dp43612
g13
Nsg14
Nsg15
Vobsolete
p43613
sbtp43614
a(g8
(g9
g10
NtRp43615
(dp43616
g13
Nsg14
Nsg15
V53ca956f-fefa-4c60-807c-8b6c6d4e5a0d
p43617
sbNg8
(g9
g10
NtRp43618
(dp43619
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (10km), May 2011
p43620
sbNNNNNg8
(g9
g10
NtRp43621
(dp43622
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43623
sbg8
(g23
g10
NtRp43624
(dp43625
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43626
sbNg8
(g9
g10
NtRp43627
(dp43628
g13
Nsg14
Nsg15
VFALSE
p43629
sbNNNg8
(g9
g10
NtRp43630
(dp43631
g13
Nsg14
Nsg15
VFALSE
p43632
sbNNg8
(g9
g10
NtRp43633
(dp43634
g13
Nsg14
Nsg15
VFALSE
p43635
sbNNg8
(g9
g10
NtRp43636
(dp43637
g13
Nsg14
Nsg15
VFALSE
p43638
sbNg8
(g9
g10
NtRp43639
(dp43640
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53ca956f-fefa-4c60-807c-8b6c6d4e5a0d.png
p43641
sbg8
(g9
g10
NtRp43642
(dp43643
g13
Nsg14
Nsg15
VEPSG:3035
p43644
sbg8
(g9
g10
NtRp43645
(dp43646
g13
Nsg14
Nsg15
V2019-06-04
p43647
sbNNNg8
(g9
g10
NtRp43648
(dp43649
g13
Nsg14
Nsg15
Vvector
p43650
sbg8
(g9
g10
NtRp43651
(dp43652
g13
Nsg14
Nsg15
VSHP
p43653
sbNg8
(g9
g10
NtRp43654
(dp43655
g13
Nsg14
Nsg15
V10000m
p43656
sbNg8
(g9
g10
NtRp43657
(dp43658
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43659
sbg8
(g9
g10
NtRp43660
(dp43661
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53ca956f-fefa-4c60-807c-8b6c6d4e5a0d
p43662
sbg8
(g9
g10
NtRp43663
(dp43664
g13
Nsg14
g74
sg15
V2011
p43665
sbg8
(g9
g10
NtRp43666
(dp43667
g13
Nsg14
g74
sg15
V2011
p43668
sbg8
(g9
g10
NtRp43669
(dp43670
g13
Nsg14
Nsg15
VFALSE
p43671
sbg8
(g9
g10
NtRp43672
(dp43673
g13
Nsg14
Nsg15
VGeographical grid systems
p43674
sbg8
(g9
g10
NtRp43675
(dp43676
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43677
sbg8
(g9
g10
NtRp43678
(dp43679
g13
Nsg14
Nsg15
VFALSE
p43680
sbg8
(g9
g10
NtRp43681
(dp43682
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43683
sbg8
(g9
g10
NtRp43684
(dp43685
g13
Nsg14
Nsg15
VFALSE
p43686
sbNNNNNNNg8
(g9
g10
NtRp43687
(dp43688
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43689
(dp43690
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43691
(dp43692
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-cz_2011
p43693
sbNg8
(g9
g10
NtRp43694
(dp43695
g13
Nsg14
Nsg15
Vobsolete
p43696
sbtp43697
a(g8
(g9
g10
NtRp43698
(dp43699
g13
Nsg14
Nsg15
V0af259f3-e0ce-49a2-a442-59a6538c5a54
p43700
sbNg8
(g9
g10
NtRp43701
(dp43702
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (100km), May 2011
p43703
sbNNNNNg8
(g9
g10
NtRp43704
(dp43705
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43706
sbg8
(g23
g10
NtRp43707
(dp43708
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43709
sbNg8
(g9
g10
NtRp43710
(dp43711
g13
Nsg14
Nsg15
VFALSE
p43712
sbNNNg8
(g9
g10
NtRp43713
(dp43714
g13
Nsg14
Nsg15
VFALSE
p43715
sbNNg8
(g9
g10
NtRp43716
(dp43717
g13
Nsg14
Nsg15
VFALSE
p43718
sbNNg8
(g9
g10
NtRp43719
(dp43720
g13
Nsg14
Nsg15
VFALSE
p43721
sbNg8
(g9
g10
NtRp43722
(dp43723
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af259f3-e0ce-49a2-a442-59a6538c5a54.png
p43724
sbg8
(g9
g10
NtRp43725
(dp43726
g13
Nsg14
Nsg15
VEPSG:3035
p43727
sbg8
(g9
g10
NtRp43728
(dp43729
g13
Nsg14
Nsg15
V2019-06-04
p43730
sbNNNg8
(g9
g10
NtRp43731
(dp43732
g13
Nsg14
Nsg15
Vvector
p43733
sbg8
(g9
g10
NtRp43734
(dp43735
g13
Nsg14
Nsg15
VSHP
p43736
sbNg8
(g9
g10
NtRp43737
(dp43738
g13
Nsg14
Nsg15
V100000m
p43739
sbNg8
(g9
g10
NtRp43740
(dp43741
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43742
sbg8
(g9
g10
NtRp43743
(dp43744
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af259f3-e0ce-49a2-a442-59a6538c5a54
p43745
sbg8
(g9
g10
NtRp43746
(dp43747
g13
Nsg14
g74
sg15
V2011
p43748
sbg8
(g9
g10
NtRp43749
(dp43750
g13
Nsg14
g74
sg15
V2011
p43751
sbg8
(g9
g10
NtRp43752
(dp43753
g13
Nsg14
Nsg15
VFALSE
p43754
sbg8
(g9
g10
NtRp43755
(dp43756
g13
Nsg14
Nsg15
VGeographical grid systems
p43757
sbg8
(g9
g10
NtRp43758
(dp43759
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43760
sbg8
(g9
g10
NtRp43761
(dp43762
g13
Nsg14
Nsg15
VFALSE
p43763
sbg8
(g9
g10
NtRp43764
(dp43765
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43766
sbg8
(g9
g10
NtRp43767
(dp43768
g13
Nsg14
Nsg15
VFALSE
p43769
sbNNNNNNNg8
(g9
g10
NtRp43770
(dp43771
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43772
(dp43773
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43774
(dp43775
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gi_2011
p43776
sbNg8
(g9
g10
NtRp43777
(dp43778
g13
Nsg14
Nsg15
Vobsolete
p43779
sbtp43780
a(g8
(g9
g10
NtRp43781
(dp43782
g13
Nsg14
Nsg15
Vad349ff5-1683-4e06-8892-7ed00fdcacde
p43783
sbNg8
(g9
g10
NtRp43784
(dp43785
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (1km), May 2011
p43786
sbNNNNNg8
(g9
g10
NtRp43787
(dp43788
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43789
sbg8
(g23
g10
NtRp43790
(dp43791
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43792
sbNg8
(g9
g10
NtRp43793
(dp43794
g13
Nsg14
Nsg15
VFALSE
p43795
sbNNNg8
(g9
g10
NtRp43796
(dp43797
g13
Nsg14
Nsg15
VFALSE
p43798
sbNNg8
(g9
g10
NtRp43799
(dp43800
g13
Nsg14
Nsg15
VFALSE
p43801
sbNNg8
(g9
g10
NtRp43802
(dp43803
g13
Nsg14
Nsg15
VFALSE
p43804
sbNg8
(g9
g10
NtRp43805
(dp43806
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad349ff5-1683-4e06-8892-7ed00fdcacde.png
p43807
sbg8
(g9
g10
NtRp43808
(dp43809
g13
Nsg14
Nsg15
VEPSG:3035
p43810
sbg8
(g9
g10
NtRp43811
(dp43812
g13
Nsg14
Nsg15
V2019-06-04
p43813
sbNNNg8
(g9
g10
NtRp43814
(dp43815
g13
Nsg14
Nsg15
Vvector
p43816
sbg8
(g9
g10
NtRp43817
(dp43818
g13
Nsg14
Nsg15
VSHP
p43819
sbNg8
(g9
g10
NtRp43820
(dp43821
g13
Nsg14
Nsg15
V1000m
p43822
sbNg8
(g9
g10
NtRp43823
(dp43824
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43825
sbg8
(g9
g10
NtRp43826
(dp43827
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad349ff5-1683-4e06-8892-7ed00fdcacde
p43828
sbg8
(g9
g10
NtRp43829
(dp43830
g13
Nsg14
g74
sg15
V2011
p43831
sbg8
(g9
g10
NtRp43832
(dp43833
g13
Nsg14
g74
sg15
V2011
p43834
sbg8
(g9
g10
NtRp43835
(dp43836
g13
Nsg14
Nsg15
VFALSE
p43837
sbg8
(g9
g10
NtRp43838
(dp43839
g13
Nsg14
Nsg15
VGeographical grid systems
p43840
sbg8
(g9
g10
NtRp43841
(dp43842
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43843
sbg8
(g9
g10
NtRp43844
(dp43845
g13
Nsg14
Nsg15
VFALSE
p43846
sbg8
(g9
g10
NtRp43847
(dp43848
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43849
sbg8
(g9
g10
NtRp43850
(dp43851
g13
Nsg14
Nsg15
VFALSE
p43852
sbNNNNNNNg8
(g9
g10
NtRp43853
(dp43854
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43855
(dp43856
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43857
(dp43858
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-nl_2011
p43859
sbNg8
(g9
g10
NtRp43860
(dp43861
g13
Nsg14
Nsg15
Vobsolete
p43862
sbtp43863
a(g8
(g9
g10
NtRp43864
(dp43865
g13
Nsg14
Nsg15
Vb0a22226-80a3-4d9b-babb-789e57f8c05d
p43866
sbNg8
(g9
g10
NtRp43867
(dp43868
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (100km), May 2011
p43869
sbNNNNNg8
(g9
g10
NtRp43870
(dp43871
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43872
sbg8
(g23
g10
NtRp43873
(dp43874
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43875
sbNg8
(g9
g10
NtRp43876
(dp43877
g13
Nsg14
Nsg15
VFALSE
p43878
sbNNNg8
(g9
g10
NtRp43879
(dp43880
g13
Nsg14
Nsg15
VFALSE
p43881
sbNNg8
(g9
g10
NtRp43882
(dp43883
g13
Nsg14
Nsg15
VFALSE
p43884
sbNNg8
(g9
g10
NtRp43885
(dp43886
g13
Nsg14
Nsg15
VFALSE
p43887
sbNg8
(g9
g10
NtRp43888
(dp43889
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0a22226-80a3-4d9b-babb-789e57f8c05d.png
p43890
sbg8
(g9
g10
NtRp43891
(dp43892
g13
Nsg14
Nsg15
VEPSG:3035
p43893
sbg8
(g9
g10
NtRp43894
(dp43895
g13
Nsg14
Nsg15
V2019-06-04
p43896
sbNNNg8
(g9
g10
NtRp43897
(dp43898
g13
Nsg14
Nsg15
Vvector
p43899
sbg8
(g9
g10
NtRp43900
(dp43901
g13
Nsg14
Nsg15
VSHP
p43902
sbNg8
(g9
g10
NtRp43903
(dp43904
g13
Nsg14
Nsg15
V100000m
p43905
sbNg8
(g9
g10
NtRp43906
(dp43907
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43908
sbg8
(g9
g10
NtRp43909
(dp43910
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0a22226-80a3-4d9b-babb-789e57f8c05d
p43911
sbg8
(g9
g10
NtRp43912
(dp43913
g13
Nsg14
g74
sg15
V2011
p43914
sbg8
(g9
g10
NtRp43915
(dp43916
g13
Nsg14
g74
sg15
V2011
p43917
sbg8
(g9
g10
NtRp43918
(dp43919
g13
Nsg14
Nsg15
VFALSE
p43920
sbg8
(g9
g10
NtRp43921
(dp43922
g13
Nsg14
Nsg15
VGeographical grid systems
p43923
sbg8
(g9
g10
NtRp43924
(dp43925
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p43926
sbg8
(g9
g10
NtRp43927
(dp43928
g13
Nsg14
Nsg15
VFALSE
p43929
sbg8
(g9
g10
NtRp43930
(dp43931
g13
Nsg14
Nsg15
VEuropean Environment Agency
p43932
sbg8
(g9
g10
NtRp43933
(dp43934
g13
Nsg14
Nsg15
VFALSE
p43935
sbNNNNNNNg8
(g9
g10
NtRp43936
(dp43937
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp43938
(dp43939
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp43940
(dp43941
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gb_2011
p43942
sbNg8
(g9
g10
NtRp43943
(dp43944
g13
Nsg14
Nsg15
Vobsolete
p43945
sbtp43946
a(g8
(g9
g10
NtRp43947
(dp43948
g13
Nsg14
Nsg15
Vfa2d05bc-208b-4a46-b400-6f01fed47c24
p43949
sbNg8
(g9
g10
NtRp43950
(dp43951
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (10km), May 2011
p43952
sbNNNNNg8
(g9
g10
NtRp43953
(dp43954
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p43955
sbg8
(g23
g10
NtRp43956
(dp43957
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p43958
sbNg8
(g9
g10
NtRp43959
(dp43960
g13
Nsg14
Nsg15
VFALSE
p43961
sbNNNg8
(g9
g10
NtRp43962
(dp43963
g13
Nsg14
Nsg15
VFALSE
p43964
sbNNg8
(g9
g10
NtRp43965
(dp43966
g13
Nsg14
Nsg15
VFALSE
p43967
sbNNg8
(g9
g10
NtRp43968
(dp43969
g13
Nsg14
Nsg15
VFALSE
p43970
sbNg8
(g9
g10
NtRp43971
(dp43972
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa2d05bc-208b-4a46-b400-6f01fed47c24.png
p43973
sbg8
(g9
g10
NtRp43974
(dp43975
g13
Nsg14
Nsg15
VEPSG:3035
p43976
sbg8
(g9
g10
NtRp43977
(dp43978
g13
Nsg14
Nsg15
V2019-06-04
p43979
sbNNNg8
(g9
g10
NtRp43980
(dp43981
g13
Nsg14
Nsg15
Vvector
p43982
sbg8
(g9
g10
NtRp43983
(dp43984
g13
Nsg14
Nsg15
VSHP
p43985
sbNg8
(g9
g10
NtRp43986
(dp43987
g13
Nsg14
Nsg15
V10000m
p43988
sbNg8
(g9
g10
NtRp43989
(dp43990
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p43991
sbg8
(g9
g10
NtRp43992
(dp43993
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa2d05bc-208b-4a46-b400-6f01fed47c24
p43994
sbg8
(g9
g10
NtRp43995
(dp43996
g13
Nsg14
g74
sg15
V2011
p43997
sbg8
(g9
g10
NtRp43998
(dp43999
g13
Nsg14
g74
sg15
V2011
p44000
sbg8
(g9
g10
NtRp44001
(dp44002
g13
Nsg14
Nsg15
VFALSE
p44003
sbg8
(g9
g10
NtRp44004
(dp44005
g13
Nsg14
Nsg15
VGeographical grid systems
p44006
sbg8
(g9
g10
NtRp44007
(dp44008
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44009
sbg8
(g9
g10
NtRp44010
(dp44011
g13
Nsg14
Nsg15
VFALSE
p44012
sbg8
(g9
g10
NtRp44013
(dp44014
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44015
sbg8
(g9
g10
NtRp44016
(dp44017
g13
Nsg14
Nsg15
VFALSE
p44018
sbNNNNNNNg8
(g9
g10
NtRp44019
(dp44020
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44021
(dp44022
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44023
(dp44024
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ba_2011
p44025
sbNg8
(g9
g10
NtRp44026
(dp44027
g13
Nsg14
Nsg15
Vobsolete
p44028
sbtp44029
a(g8
(g9
g10
NtRp44030
(dp44031
g13
Nsg14
Nsg15
V59ed0aa1-a464-446b-a960-36df73e2a803
p44032
sbNg8
(g9
g10
NtRp44033
(dp44034
g13
Nsg14
Nsg15
VEEA reference grid for Austria (100km), May 2011
p44035
sbNNNNNg8
(g9
g10
NtRp44036
(dp44037
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44038
sbg8
(g23
g10
NtRp44039
(dp44040
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44041
sbNg8
(g9
g10
NtRp44042
(dp44043
g13
Nsg14
Nsg15
VFALSE
p44044
sbNNNg8
(g9
g10
NtRp44045
(dp44046
g13
Nsg14
Nsg15
VFALSE
p44047
sbNNg8
(g9
g10
NtRp44048
(dp44049
g13
Nsg14
Nsg15
VFALSE
p44050
sbNNg8
(g9
g10
NtRp44051
(dp44052
g13
Nsg14
Nsg15
VFALSE
p44053
sbNg8
(g9
g10
NtRp44054
(dp44055
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/59ed0aa1-a464-446b-a960-36df73e2a803.png
p44056
sbg8
(g9
g10
NtRp44057
(dp44058
g13
Nsg14
Nsg15
VEPSG:3035
p44059
sbg8
(g9
g10
NtRp44060
(dp44061
g13
Nsg14
Nsg15
V2019-06-04
p44062
sbNNNg8
(g9
g10
NtRp44063
(dp44064
g13
Nsg14
Nsg15
Vvector
p44065
sbg8
(g9
g10
NtRp44066
(dp44067
g13
Nsg14
Nsg15
VSHP
p44068
sbNg8
(g9
g10
NtRp44069
(dp44070
g13
Nsg14
Nsg15
V100000m
p44071
sbNg8
(g9
g10
NtRp44072
(dp44073
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44074
sbg8
(g9
g10
NtRp44075
(dp44076
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59ed0aa1-a464-446b-a960-36df73e2a803
p44077
sbg8
(g9
g10
NtRp44078
(dp44079
g13
Nsg14
g74
sg15
V2011
p44080
sbg8
(g9
g10
NtRp44081
(dp44082
g13
Nsg14
g74
sg15
V2011
p44083
sbg8
(g9
g10
NtRp44084
(dp44085
g13
Nsg14
Nsg15
VFALSE
p44086
sbg8
(g9
g10
NtRp44087
(dp44088
g13
Nsg14
Nsg15
VGeographical grid systems
p44089
sbg8
(g9
g10
NtRp44090
(dp44091
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44092
sbg8
(g9
g10
NtRp44093
(dp44094
g13
Nsg14
Nsg15
VFALSE
p44095
sbg8
(g9
g10
NtRp44096
(dp44097
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44098
sbg8
(g9
g10
NtRp44099
(dp44100
g13
Nsg14
Nsg15
VFALSE
p44101
sbNNNNNNNg8
(g9
g10
NtRp44102
(dp44103
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44104
(dp44105
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44106
(dp44107
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-at_2011
p44108
sbNg8
(g9
g10
NtRp44109
(dp44110
g13
Nsg14
Nsg15
Vobsolete
p44111
sbtp44112
a(g8
(g9
g10
NtRp44113
(dp44114
g13
Nsg14
Nsg15
V059d02f7-df51-45ad-adfd-d46fc3f4ee88
p44115
sbNg8
(g9
g10
NtRp44116
(dp44117
g13
Nsg14
Nsg15
VEEA reference grid for Norway (100km), May 2011
p44118
sbNNNNNg8
(g9
g10
NtRp44119
(dp44120
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44121
sbg8
(g23
g10
NtRp44122
(dp44123
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44124
sbNg8
(g9
g10
NtRp44125
(dp44126
g13
Nsg14
Nsg15
VFALSE
p44127
sbNNNg8
(g9
g10
NtRp44128
(dp44129
g13
Nsg14
Nsg15
VFALSE
p44130
sbNNg8
(g9
g10
NtRp44131
(dp44132
g13
Nsg14
Nsg15
VFALSE
p44133
sbNNg8
(g9
g10
NtRp44134
(dp44135
g13
Nsg14
Nsg15
VFALSE
p44136
sbNg8
(g9
g10
NtRp44137
(dp44138
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/059d02f7-df51-45ad-adfd-d46fc3f4ee88.png
p44139
sbg8
(g9
g10
NtRp44140
(dp44141
g13
Nsg14
Nsg15
VEPSG:3035
p44142
sbg8
(g9
g10
NtRp44143
(dp44144
g13
Nsg14
Nsg15
V2019-06-04
p44145
sbNNNg8
(g9
g10
NtRp44146
(dp44147
g13
Nsg14
Nsg15
Vvector
p44148
sbg8
(g9
g10
NtRp44149
(dp44150
g13
Nsg14
Nsg15
VSHP
p44151
sbNg8
(g9
g10
NtRp44152
(dp44153
g13
Nsg14
Nsg15
V100000m
p44154
sbNg8
(g9
g10
NtRp44155
(dp44156
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44157
sbg8
(g9
g10
NtRp44158
(dp44159
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/059d02f7-df51-45ad-adfd-d46fc3f4ee88
p44160
sbg8
(g9
g10
NtRp44161
(dp44162
g13
Nsg14
g74
sg15
V2011
p44163
sbg8
(g9
g10
NtRp44164
(dp44165
g13
Nsg14
g74
sg15
V2011
p44166
sbg8
(g9
g10
NtRp44167
(dp44168
g13
Nsg14
Nsg15
VFALSE
p44169
sbg8
(g9
g10
NtRp44170
(dp44171
g13
Nsg14
Nsg15
VGeographical grid systems
p44172
sbg8
(g9
g10
NtRp44173
(dp44174
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44175
sbg8
(g9
g10
NtRp44176
(dp44177
g13
Nsg14
Nsg15
VFALSE
p44178
sbg8
(g9
g10
NtRp44179
(dp44180
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44181
sbg8
(g9
g10
NtRp44182
(dp44183
g13
Nsg14
Nsg15
VFALSE
p44184
sbNNNNNNNg8
(g9
g10
NtRp44185
(dp44186
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44187
(dp44188
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44189
(dp44190
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-no_2011
p44191
sbNg8
(g9
g10
NtRp44192
(dp44193
g13
Nsg14
Nsg15
Vobsolete
p44194
sbtp44195
a(g8
(g9
g10
NtRp44196
(dp44197
g13
Nsg14
Nsg15
V93315b78-089d-43a5-ac76-b3df627b2e4c
p44198
sbNg8
(g9
g10
NtRp44199
(dp44200
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (10km), May 2011
p44201
sbNNNNNg8
(g9
g10
NtRp44202
(dp44203
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44204
sbg8
(g23
g10
NtRp44205
(dp44206
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44207
sbNg8
(g9
g10
NtRp44208
(dp44209
g13
Nsg14
Nsg15
VFALSE
p44210
sbNNNg8
(g9
g10
NtRp44211
(dp44212
g13
Nsg14
Nsg15
VFALSE
p44213
sbNNg8
(g9
g10
NtRp44214
(dp44215
g13
Nsg14
Nsg15
VFALSE
p44216
sbNNg8
(g9
g10
NtRp44217
(dp44218
g13
Nsg14
Nsg15
VFALSE
p44219
sbNg8
(g9
g10
NtRp44220
(dp44221
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/93315b78-089d-43a5-ac76-b3df627b2e4c.png
p44222
sbg8
(g9
g10
NtRp44223
(dp44224
g13
Nsg14
Nsg15
VEPSG:3035
p44225
sbg8
(g9
g10
NtRp44226
(dp44227
g13
Nsg14
Nsg15
V2019-06-04
p44228
sbNNNg8
(g9
g10
NtRp44229
(dp44230
g13
Nsg14
Nsg15
Vvector
p44231
sbg8
(g9
g10
NtRp44232
(dp44233
g13
Nsg14
Nsg15
VSHP
p44234
sbNg8
(g9
g10
NtRp44235
(dp44236
g13
Nsg14
Nsg15
V10000m
p44237
sbNg8
(g9
g10
NtRp44238
(dp44239
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44240
sbg8
(g9
g10
NtRp44241
(dp44242
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/93315b78-089d-43a5-ac76-b3df627b2e4c
p44243
sbg8
(g9
g10
NtRp44244
(dp44245
g13
Nsg14
g74
sg15
V2011
p44246
sbg8
(g9
g10
NtRp44247
(dp44248
g13
Nsg14
g74
sg15
V2011
p44249
sbg8
(g9
g10
NtRp44250
(dp44251
g13
Nsg14
Nsg15
VFALSE
p44252
sbg8
(g9
g10
NtRp44253
(dp44254
g13
Nsg14
Nsg15
VGeographical grid systems
p44255
sbg8
(g9
g10
NtRp44256
(dp44257
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44258
sbg8
(g9
g10
NtRp44259
(dp44260
g13
Nsg14
Nsg15
VFALSE
p44261
sbg8
(g9
g10
NtRp44262
(dp44263
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44264
sbg8
(g9
g10
NtRp44265
(dp44266
g13
Nsg14
Nsg15
VFALSE
p44267
sbNNNNNNNg8
(g9
g10
NtRp44268
(dp44269
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44270
(dp44271
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44272
(dp44273
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gb_2011
p44274
sbNg8
(g9
g10
NtRp44275
(dp44276
g13
Nsg14
Nsg15
Vobsolete
p44277
sbtp44278
a(g8
(g9
g10
NtRp44279
(dp44280
g13
Nsg14
Nsg15
V956f2e84-6461-4025-b948-9e3e47972b83
p44281
sbNg8
(g9
g10
NtRp44282
(dp44283
g13
Nsg14
Nsg15
VEEA reference grid for Poland (1km), May 2011
p44284
sbNNNNNg8
(g9
g10
NtRp44285
(dp44286
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44287
sbg8
(g23
g10
NtRp44288
(dp44289
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44290
sbNg8
(g9
g10
NtRp44291
(dp44292
g13
Nsg14
Nsg15
VFALSE
p44293
sbNNNg8
(g9
g10
NtRp44294
(dp44295
g13
Nsg14
Nsg15
VFALSE
p44296
sbNNg8
(g9
g10
NtRp44297
(dp44298
g13
Nsg14
Nsg15
VFALSE
p44299
sbNNg8
(g9
g10
NtRp44300
(dp44301
g13
Nsg14
Nsg15
VFALSE
p44302
sbNg8
(g9
g10
NtRp44303
(dp44304
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/956f2e84-6461-4025-b948-9e3e47972b83.png
p44305
sbg8
(g9
g10
NtRp44306
(dp44307
g13
Nsg14
Nsg15
VEPSG:3035
p44308
sbg8
(g9
g10
NtRp44309
(dp44310
g13
Nsg14
Nsg15
V2019-06-04
p44311
sbNNNg8
(g9
g10
NtRp44312
(dp44313
g13
Nsg14
Nsg15
Vvector
p44314
sbg8
(g9
g10
NtRp44315
(dp44316
g13
Nsg14
Nsg15
VSHP
p44317
sbNg8
(g9
g10
NtRp44318
(dp44319
g13
Nsg14
Nsg15
V1000m
p44320
sbNg8
(g9
g10
NtRp44321
(dp44322
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44323
sbg8
(g9
g10
NtRp44324
(dp44325
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956f2e84-6461-4025-b948-9e3e47972b83
p44326
sbg8
(g9
g10
NtRp44327
(dp44328
g13
Nsg14
g74
sg15
V2011
p44329
sbg8
(g9
g10
NtRp44330
(dp44331
g13
Nsg14
g74
sg15
V2011
p44332
sbg8
(g9
g10
NtRp44333
(dp44334
g13
Nsg14
Nsg15
VFALSE
p44335
sbg8
(g9
g10
NtRp44336
(dp44337
g13
Nsg14
Nsg15
VGeographical grid systems
p44338
sbg8
(g9
g10
NtRp44339
(dp44340
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44341
sbg8
(g9
g10
NtRp44342
(dp44343
g13
Nsg14
Nsg15
VFALSE
p44344
sbg8
(g9
g10
NtRp44345
(dp44346
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44347
sbg8
(g9
g10
NtRp44348
(dp44349
g13
Nsg14
Nsg15
VFALSE
p44350
sbNNNNNNNg8
(g9
g10
NtRp44351
(dp44352
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44353
(dp44354
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44355
(dp44356
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pl_2011
p44357
sbNg8
(g9
g10
NtRp44358
(dp44359
g13
Nsg14
Nsg15
Vobsolete
p44360
sbtp44361
a(g8
(g9
g10
NtRp44362
(dp44363
g13
Nsg14
Nsg15
Vbdcc81d5-4530-4071-b2c5-268bf49a9838
p44364
sbNg8
(g9
g10
NtRp44365
(dp44366
g13
Nsg14
Nsg15
VEEA reference grid for Finland (1km), May 2011
p44367
sbNNNNNg8
(g9
g10
NtRp44368
(dp44369
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44370
sbg8
(g23
g10
NtRp44371
(dp44372
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44373
sbNg8
(g9
g10
NtRp44374
(dp44375
g13
Nsg14
Nsg15
VFALSE
p44376
sbNNNg8
(g9
g10
NtRp44377
(dp44378
g13
Nsg14
Nsg15
VFALSE
p44379
sbNNg8
(g9
g10
NtRp44380
(dp44381
g13
Nsg14
Nsg15
VFALSE
p44382
sbNNg8
(g9
g10
NtRp44383
(dp44384
g13
Nsg14
Nsg15
VFALSE
p44385
sbNg8
(g9
g10
NtRp44386
(dp44387
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bdcc81d5-4530-4071-b2c5-268bf49a9838.png
p44388
sbg8
(g9
g10
NtRp44389
(dp44390
g13
Nsg14
Nsg15
VEPSG:3035
p44391
sbg8
(g9
g10
NtRp44392
(dp44393
g13
Nsg14
Nsg15
V2019-06-04
p44394
sbNNNg8
(g9
g10
NtRp44395
(dp44396
g13
Nsg14
Nsg15
Vvector
p44397
sbg8
(g9
g10
NtRp44398
(dp44399
g13
Nsg14
Nsg15
VSHP
p44400
sbNg8
(g9
g10
NtRp44401
(dp44402
g13
Nsg14
Nsg15
V1000m
p44403
sbNg8
(g9
g10
NtRp44404
(dp44405
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44406
sbg8
(g9
g10
NtRp44407
(dp44408
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bdcc81d5-4530-4071-b2c5-268bf49a9838
p44409
sbg8
(g9
g10
NtRp44410
(dp44411
g13
Nsg14
g74
sg15
V2011
p44412
sbg8
(g9
g10
NtRp44413
(dp44414
g13
Nsg14
g74
sg15
V2011
p44415
sbg8
(g9
g10
NtRp44416
(dp44417
g13
Nsg14
Nsg15
VFALSE
p44418
sbg8
(g9
g10
NtRp44419
(dp44420
g13
Nsg14
Nsg15
VGeographical grid systems
p44421
sbg8
(g9
g10
NtRp44422
(dp44423
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44424
sbg8
(g9
g10
NtRp44425
(dp44426
g13
Nsg14
Nsg15
VFALSE
p44427
sbg8
(g9
g10
NtRp44428
(dp44429
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44430
sbg8
(g9
g10
NtRp44431
(dp44432
g13
Nsg14
Nsg15
VFALSE
p44433
sbNNNNNNNg8
(g9
g10
NtRp44434
(dp44435
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44436
(dp44437
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44438
(dp44439
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-fi_2011
p44440
sbNg8
(g9
g10
NtRp44441
(dp44442
g13
Nsg14
Nsg15
Vobsolete
p44443
sbtp44444
a(g8
(g9
g10
NtRp44445
(dp44446
g13
Nsg14
Nsg15
V48251637-b2f3-41af-8a9e-c11fe61490c8
p44447
sbNg8
(g9
g10
NtRp44448
(dp44449
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (10km), May 2011
p44450
sbNNNNNg8
(g9
g10
NtRp44451
(dp44452
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44453
sbg8
(g23
g10
NtRp44454
(dp44455
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44456
sbNg8
(g9
g10
NtRp44457
(dp44458
g13
Nsg14
Nsg15
VFALSE
p44459
sbNNNg8
(g9
g10
NtRp44460
(dp44461
g13
Nsg14
Nsg15
VFALSE
p44462
sbNNg8
(g9
g10
NtRp44463
(dp44464
g13
Nsg14
Nsg15
VFALSE
p44465
sbNNg8
(g9
g10
NtRp44466
(dp44467
g13
Nsg14
Nsg15
VFALSE
p44468
sbNg8
(g9
g10
NtRp44469
(dp44470
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48251637-b2f3-41af-8a9e-c11fe61490c8.png
p44471
sbg8
(g9
g10
NtRp44472
(dp44473
g13
Nsg14
Nsg15
VEPSG:3035
p44474
sbg8
(g9
g10
NtRp44475
(dp44476
g13
Nsg14
Nsg15
V2019-06-04
p44477
sbNNNg8
(g9
g10
NtRp44478
(dp44479
g13
Nsg14
Nsg15
Vvector
p44480
sbg8
(g9
g10
NtRp44481
(dp44482
g13
Nsg14
Nsg15
VSHP
p44483
sbNg8
(g9
g10
NtRp44484
(dp44485
g13
Nsg14
Nsg15
V10000m
p44486
sbNg8
(g9
g10
NtRp44487
(dp44488
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44489
sbg8
(g9
g10
NtRp44490
(dp44491
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48251637-b2f3-41af-8a9e-c11fe61490c8
p44492
sbg8
(g9
g10
NtRp44493
(dp44494
g13
Nsg14
g74
sg15
V2011
p44495
sbg8
(g9
g10
NtRp44496
(dp44497
g13
Nsg14
g74
sg15
V2011
p44498
sbg8
(g9
g10
NtRp44499
(dp44500
g13
Nsg14
Nsg15
VFALSE
p44501
sbg8
(g9
g10
NtRp44502
(dp44503
g13
Nsg14
Nsg15
VGeographical grid systems
p44504
sbg8
(g9
g10
NtRp44505
(dp44506
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44507
sbg8
(g9
g10
NtRp44508
(dp44509
g13
Nsg14
Nsg15
VFALSE
p44510
sbg8
(g9
g10
NtRp44511
(dp44512
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44513
sbg8
(g9
g10
NtRp44514
(dp44515
g13
Nsg14
Nsg15
VFALSE
p44516
sbNNNNNNNg8
(g9
g10
NtRp44517
(dp44518
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44519
(dp44520
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44521
(dp44522
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lv_2011
p44523
sbNg8
(g9
g10
NtRp44524
(dp44525
g13
Nsg14
Nsg15
Vobsolete
p44526
sbtp44527
a(g8
(g9
g10
NtRp44528
(dp44529
g13
Nsg14
Nsg15
V7ea4e07b-dc2d-41cf-b124-1f784c78ccf3
p44530
sbNg8
(g9
g10
NtRp44531
(dp44532
g13
Nsg14
Nsg15
VEEA reference grid for Malta (10km), May 2011
p44533
sbNNNNNg8
(g9
g10
NtRp44534
(dp44535
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44536
sbg8
(g23
g10
NtRp44537
(dp44538
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44539
sbNg8
(g9
g10
NtRp44540
(dp44541
g13
Nsg14
Nsg15
VFALSE
p44542
sbNNNg8
(g9
g10
NtRp44543
(dp44544
g13
Nsg14
Nsg15
VFALSE
p44545
sbNNg8
(g9
g10
NtRp44546
(dp44547
g13
Nsg14
Nsg15
VFALSE
p44548
sbNNg8
(g9
g10
NtRp44549
(dp44550
g13
Nsg14
Nsg15
VFALSE
p44551
sbNg8
(g9
g10
NtRp44552
(dp44553
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3.png
p44554
sbg8
(g9
g10
NtRp44555
(dp44556
g13
Nsg14
Nsg15
VEPSG:3035
p44557
sbg8
(g9
g10
NtRp44558
(dp44559
g13
Nsg14
Nsg15
V2019-06-04
p44560
sbNNNg8
(g9
g10
NtRp44561
(dp44562
g13
Nsg14
Nsg15
Vvector
p44563
sbg8
(g9
g10
NtRp44564
(dp44565
g13
Nsg14
Nsg15
VSHP
p44566
sbNg8
(g9
g10
NtRp44567
(dp44568
g13
Nsg14
Nsg15
V10000m
p44569
sbNg8
(g9
g10
NtRp44570
(dp44571
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44572
sbg8
(g9
g10
NtRp44573
(dp44574
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3
p44575
sbg8
(g9
g10
NtRp44576
(dp44577
g13
Nsg14
g74
sg15
V2011
p44578
sbg8
(g9
g10
NtRp44579
(dp44580
g13
Nsg14
g74
sg15
V2011
p44581
sbg8
(g9
g10
NtRp44582
(dp44583
g13
Nsg14
Nsg15
VFALSE
p44584
sbg8
(g9
g10
NtRp44585
(dp44586
g13
Nsg14
Nsg15
VGeographical grid systems
p44587
sbg8
(g9
g10
NtRp44588
(dp44589
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44590
sbg8
(g9
g10
NtRp44591
(dp44592
g13
Nsg14
Nsg15
VFALSE
p44593
sbg8
(g9
g10
NtRp44594
(dp44595
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44596
sbg8
(g9
g10
NtRp44597
(dp44598
g13
Nsg14
Nsg15
VFALSE
p44599
sbNNNNNNNg8
(g9
g10
NtRp44600
(dp44601
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44602
(dp44603
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44604
(dp44605
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-mt_2011
p44606
sbNg8
(g9
g10
NtRp44607
(dp44608
g13
Nsg14
Nsg15
Vobsolete
p44609
sbtp44610
a(g8
(g9
g10
NtRp44611
(dp44612
g13
Nsg14
Nsg15
Vfbd91951-43eb-4718-bccc-2b06f7a49c46
p44613
sbNg8
(g9
g10
NtRp44614
(dp44615
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (100km), May 2011
p44616
sbNNNNNg8
(g9
g10
NtRp44617
(dp44618
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44619
sbg8
(g23
g10
NtRp44620
(dp44621
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44622
sbNg8
(g9
g10
NtRp44623
(dp44624
g13
Nsg14
Nsg15
VFALSE
p44625
sbNNNg8
(g9
g10
NtRp44626
(dp44627
g13
Nsg14
Nsg15
VFALSE
p44628
sbNNg8
(g9
g10
NtRp44629
(dp44630
g13
Nsg14
Nsg15
VFALSE
p44631
sbNNg8
(g9
g10
NtRp44632
(dp44633
g13
Nsg14
Nsg15
VFALSE
p44634
sbNg8
(g9
g10
NtRp44635
(dp44636
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbd91951-43eb-4718-bccc-2b06f7a49c46.png
p44637
sbg8
(g9
g10
NtRp44638
(dp44639
g13
Nsg14
Nsg15
VEPSG:3035
p44640
sbg8
(g9
g10
NtRp44641
(dp44642
g13
Nsg14
Nsg15
V2019-06-04
p44643
sbNNNg8
(g9
g10
NtRp44644
(dp44645
g13
Nsg14
Nsg15
Vvector
p44646
sbg8
(g9
g10
NtRp44647
(dp44648
g13
Nsg14
Nsg15
VSHP
p44649
sbNg8
(g9
g10
NtRp44650
(dp44651
g13
Nsg14
Nsg15
V100000m
p44652
sbNg8
(g9
g10
NtRp44653
(dp44654
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44655
sbg8
(g9
g10
NtRp44656
(dp44657
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbd91951-43eb-4718-bccc-2b06f7a49c46
p44658
sbg8
(g9
g10
NtRp44659
(dp44660
g13
Nsg14
g74
sg15
V2011
p44661
sbg8
(g9
g10
NtRp44662
(dp44663
g13
Nsg14
g74
sg15
V2011
p44664
sbg8
(g9
g10
NtRp44665
(dp44666
g13
Nsg14
Nsg15
VFALSE
p44667
sbg8
(g9
g10
NtRp44668
(dp44669
g13
Nsg14
Nsg15
VGeographical grid systems
p44670
sbg8
(g9
g10
NtRp44671
(dp44672
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44673
sbg8
(g9
g10
NtRp44674
(dp44675
g13
Nsg14
Nsg15
VFALSE
p44676
sbg8
(g9
g10
NtRp44677
(dp44678
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44679
sbg8
(g9
g10
NtRp44680
(dp44681
g13
Nsg14
Nsg15
VFALSE
p44682
sbNNNNNNNg8
(g9
g10
NtRp44683
(dp44684
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44685
(dp44686
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44687
(dp44688
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt-30_2011
p44689
sbNg8
(g9
g10
NtRp44690
(dp44691
g13
Nsg14
Nsg15
Vobsolete
p44692
sbtp44693
a(g8
(g9
g10
NtRp44694
(dp44695
g13
Nsg14
Nsg15
V0046e069-1b48-4fb5-90e5-2f2793789f7d
p44696
sbNg8
(g9
g10
NtRp44697
(dp44698
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (10km), May 2011
p44699
sbNNNNNg8
(g9
g10
NtRp44700
(dp44701
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44702
sbg8
(g23
g10
NtRp44703
(dp44704
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44705
sbNg8
(g9
g10
NtRp44706
(dp44707
g13
Nsg14
Nsg15
VFALSE
p44708
sbNNNg8
(g9
g10
NtRp44709
(dp44710
g13
Nsg14
Nsg15
VFALSE
p44711
sbNNg8
(g9
g10
NtRp44712
(dp44713
g13
Nsg14
Nsg15
VFALSE
p44714
sbNNg8
(g9
g10
NtRp44715
(dp44716
g13
Nsg14
Nsg15
VFALSE
p44717
sbNg8
(g9
g10
NtRp44718
(dp44719
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0046e069-1b48-4fb5-90e5-2f2793789f7d.png
p44720
sbg8
(g9
g10
NtRp44721
(dp44722
g13
Nsg14
Nsg15
VEPSG:3035
p44723
sbg8
(g9
g10
NtRp44724
(dp44725
g13
Nsg14
Nsg15
V2019-06-04
p44726
sbNNNg8
(g9
g10
NtRp44727
(dp44728
g13
Nsg14
Nsg15
Vvector
p44729
sbg8
(g9
g10
NtRp44730
(dp44731
g13
Nsg14
Nsg15
VSHP
p44732
sbNg8
(g9
g10
NtRp44733
(dp44734
g13
Nsg14
Nsg15
V10000m
p44735
sbNg8
(g9
g10
NtRp44736
(dp44737
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44738
sbg8
(g9
g10
NtRp44739
(dp44740
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0046e069-1b48-4fb5-90e5-2f2793789f7d
p44741
sbg8
(g9
g10
NtRp44742
(dp44743
g13
Nsg14
g74
sg15
V2011
p44744
sbg8
(g9
g10
NtRp44745
(dp44746
g13
Nsg14
g74
sg15
V2011
p44747
sbg8
(g9
g10
NtRp44748
(dp44749
g13
Nsg14
Nsg15
VFALSE
p44750
sbg8
(g9
g10
NtRp44751
(dp44752
g13
Nsg14
Nsg15
VGeographical grid systems
p44753
sbg8
(g9
g10
NtRp44754
(dp44755
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44756
sbg8
(g9
g10
NtRp44757
(dp44758
g13
Nsg14
Nsg15
VFALSE
p44759
sbg8
(g9
g10
NtRp44760
(dp44761
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44762
sbg8
(g9
g10
NtRp44763
(dp44764
g13
Nsg14
Nsg15
VFALSE
p44765
sbNNNNNNNg8
(g9
g10
NtRp44766
(dp44767
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44768
(dp44769
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44770
(dp44771
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gi_2011
p44772
sbNg8
(g9
g10
NtRp44773
(dp44774
g13
Nsg14
Nsg15
Vobsolete
p44775
sbtp44776
a(g8
(g9
g10
NtRp44777
(dp44778
g13
Nsg14
Nsg15
V89724da0-e2be-43e3-b5bc-456fda03e3b1
p44779
sbNg8
(g9
g10
NtRp44780
(dp44781
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (100km), May 2011
p44782
sbNNNNNg8
(g9
g10
NtRp44783
(dp44784
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44785
sbg8
(g23
g10
NtRp44786
(dp44787
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44788
sbNg8
(g9
g10
NtRp44789
(dp44790
g13
Nsg14
Nsg15
VFALSE
p44791
sbNNNg8
(g9
g10
NtRp44792
(dp44793
g13
Nsg14
Nsg15
VFALSE
p44794
sbNNg8
(g9
g10
NtRp44795
(dp44796
g13
Nsg14
Nsg15
VFALSE
p44797
sbNNg8
(g9
g10
NtRp44798
(dp44799
g13
Nsg14
Nsg15
VFALSE
p44800
sbNg8
(g9
g10
NtRp44801
(dp44802
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89724da0-e2be-43e3-b5bc-456fda03e3b1.png
p44803
sbg8
(g9
g10
NtRp44804
(dp44805
g13
Nsg14
Nsg15
VEPSG:3035
p44806
sbg8
(g9
g10
NtRp44807
(dp44808
g13
Nsg14
Nsg15
V2019-06-04
p44809
sbNNNg8
(g9
g10
NtRp44810
(dp44811
g13
Nsg14
Nsg15
Vvector
p44812
sbg8
(g9
g10
NtRp44813
(dp44814
g13
Nsg14
Nsg15
VSHP
p44815
sbNg8
(g9
g10
NtRp44816
(dp44817
g13
Nsg14
Nsg15
V100000m
p44818
sbNg8
(g9
g10
NtRp44819
(dp44820
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44821
sbg8
(g9
g10
NtRp44822
(dp44823
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89724da0-e2be-43e3-b5bc-456fda03e3b1
p44824
sbg8
(g9
g10
NtRp44825
(dp44826
g13
Nsg14
g74
sg15
V2011
p44827
sbg8
(g9
g10
NtRp44828
(dp44829
g13
Nsg14
g74
sg15
V2011
p44830
sbg8
(g9
g10
NtRp44831
(dp44832
g13
Nsg14
Nsg15
VFALSE
p44833
sbg8
(g9
g10
NtRp44834
(dp44835
g13
Nsg14
Nsg15
VGeographical grid systems
p44836
sbg8
(g9
g10
NtRp44837
(dp44838
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44839
sbg8
(g9
g10
NtRp44840
(dp44841
g13
Nsg14
Nsg15
VFALSE
p44842
sbg8
(g9
g10
NtRp44843
(dp44844
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44845
sbg8
(g9
g10
NtRp44846
(dp44847
g13
Nsg14
Nsg15
VFALSE
p44848
sbNNNNNNNg8
(g9
g10
NtRp44849
(dp44850
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44851
(dp44852
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44853
(dp44854
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-me_2011
p44855
sbNg8
(g9
g10
NtRp44856
(dp44857
g13
Nsg14
Nsg15
Vobsolete
p44858
sbtp44859
a(g8
(g9
g10
NtRp44860
(dp44861
g13
Nsg14
Nsg15
V647133d3-3e09-4f8a-aa1d-8fe9b6f57993
p44862
sbNg8
(g9
g10
NtRp44863
(dp44864
g13
Nsg14
Nsg15
VEEA reference grid for Hungary (10km), May 2011
p44865
sbNNNNNg8
(g9
g10
NtRp44866
(dp44867
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44868
sbg8
(g23
g10
NtRp44869
(dp44870
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44871
sbNg8
(g9
g10
NtRp44872
(dp44873
g13
Nsg14
Nsg15
VFALSE
p44874
sbNNNg8
(g9
g10
NtRp44875
(dp44876
g13
Nsg14
Nsg15
VFALSE
p44877
sbNNg8
(g9
g10
NtRp44878
(dp44879
g13
Nsg14
Nsg15
VFALSE
p44880
sbNNg8
(g9
g10
NtRp44881
(dp44882
g13
Nsg14
Nsg15
VFALSE
p44883
sbNg8
(g9
g10
NtRp44884
(dp44885
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/647133d3-3e09-4f8a-aa1d-8fe9b6f57993.png
p44886
sbg8
(g9
g10
NtRp44887
(dp44888
g13
Nsg14
Nsg15
VEPSG:3035
p44889
sbg8
(g9
g10
NtRp44890
(dp44891
g13
Nsg14
Nsg15
V2019-06-04
p44892
sbNNNg8
(g9
g10
NtRp44893
(dp44894
g13
Nsg14
Nsg15
Vvector
p44895
sbg8
(g9
g10
NtRp44896
(dp44897
g13
Nsg14
Nsg15
VSHP
p44898
sbNg8
(g9
g10
NtRp44899
(dp44900
g13
Nsg14
Nsg15
V10000m
p44901
sbNg8
(g9
g10
NtRp44902
(dp44903
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44904
sbg8
(g9
g10
NtRp44905
(dp44906
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/647133d3-3e09-4f8a-aa1d-8fe9b6f57993
p44907
sbg8
(g9
g10
NtRp44908
(dp44909
g13
Nsg14
g74
sg15
V2011
p44910
sbg8
(g9
g10
NtRp44911
(dp44912
g13
Nsg14
g74
sg15
V2011
p44913
sbg8
(g9
g10
NtRp44914
(dp44915
g13
Nsg14
Nsg15
VFALSE
p44916
sbg8
(g9
g10
NtRp44917
(dp44918
g13
Nsg14
Nsg15
VGeographical grid systems
p44919
sbg8
(g9
g10
NtRp44920
(dp44921
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p44922
sbg8
(g9
g10
NtRp44923
(dp44924
g13
Nsg14
Nsg15
VFALSE
p44925
sbg8
(g9
g10
NtRp44926
(dp44927
g13
Nsg14
Nsg15
VEuropean Environment Agency
p44928
sbg8
(g9
g10
NtRp44929
(dp44930
g13
Nsg14
Nsg15
VFALSE
p44931
sbNNNNNNNg8
(g9
g10
NtRp44932
(dp44933
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp44934
(dp44935
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp44936
(dp44937
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-hu_2011
p44938
sbNg8
(g9
g10
NtRp44939
(dp44940
g13
Nsg14
Nsg15
Vobsolete
p44941
sbtp44942
a(g8
(g9
g10
NtRp44943
(dp44944
g13
Nsg14
Nsg15
V844b1ad2-e6d8-4ab4-91a5-57eafa4e8589
p44945
sbNg8
(g9
g10
NtRp44946
(dp44947
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (100km), May 2011
p44948
sbNNNNNg8
(g9
g10
NtRp44949
(dp44950
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p44951
sbg8
(g23
g10
NtRp44952
(dp44953
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p44954
sbNg8
(g9
g10
NtRp44955
(dp44956
g13
Nsg14
Nsg15
VFALSE
p44957
sbNNNg8
(g9
g10
NtRp44958
(dp44959
g13
Nsg14
Nsg15
VFALSE
p44960
sbNNg8
(g9
g10
NtRp44961
(dp44962
g13
Nsg14
Nsg15
VFALSE
p44963
sbNNg8
(g9
g10
NtRp44964
(dp44965
g13
Nsg14
Nsg15
VFALSE
p44966
sbNg8
(g9
g10
NtRp44967
(dp44968
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589.png
p44969
sbg8
(g9
g10
NtRp44970
(dp44971
g13
Nsg14
Nsg15
VEPSG:3035
p44972
sbg8
(g9
g10
NtRp44973
(dp44974
g13
Nsg14
Nsg15
V2019-06-04
p44975
sbNNNg8
(g9
g10
NtRp44976
(dp44977
g13
Nsg14
Nsg15
Vvector
p44978
sbg8
(g9
g10
NtRp44979
(dp44980
g13
Nsg14
Nsg15
VSHP
p44981
sbNg8
(g9
g10
NtRp44982
(dp44983
g13
Nsg14
Nsg15
V100000m
p44984
sbNg8
(g9
g10
NtRp44985
(dp44986
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p44987
sbg8
(g9
g10
NtRp44988
(dp44989
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589
p44990
sbg8
(g9
g10
NtRp44991
(dp44992
g13
Nsg14
g74
sg15
V2011
p44993
sbg8
(g9
g10
NtRp44994
(dp44995
g13
Nsg14
g74
sg15
V2011
p44996
sbg8
(g9
g10
NtRp44997
(dp44998
g13
Nsg14
Nsg15
VFALSE
p44999
sbg8
(g9
g10
NtRp45000
(dp45001
g13
Nsg14
Nsg15
VGeographical grid systems
p45002
sbg8
(g9
g10
NtRp45003
(dp45004
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45005
sbg8
(g9
g10
NtRp45006
(dp45007
g13
Nsg14
Nsg15
VFALSE
p45008
sbg8
(g9
g10
NtRp45009
(dp45010
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45011
sbg8
(g9
g10
NtRp45012
(dp45013
g13
Nsg14
Nsg15
VFALSE
p45014
sbNNNNNNNg8
(g9
g10
NtRp45015
(dp45016
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45017
(dp45018
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45019
(dp45020
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-mk_2011
p45021
sbNg8
(g9
g10
NtRp45022
(dp45023
g13
Nsg14
Nsg15
Vobsolete
p45024
sbtp45025
a(g8
(g9
g10
NtRp45026
(dp45027
g13
Nsg14
Nsg15
Vb4013417-6075-4b9a-94cd-6514e87e9cec
p45028
sbNg8
(g9
g10
NtRp45029
(dp45030
g13
Nsg14
Nsg15
VConservation status of habitat types 2001-2006
p45031
sbNNNNNg8
(g9
g10
NtRp45032
(dp45033
g13
Nsg14
Nsg15
VGridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the  period 2001 to 2006. The data covers the EU 25.\u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aInformation on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.
p45034
sbg8
(g23
g10
NtRp45035
(dp45036
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec
p45037
sbNg8
(g9
g10
NtRp45038
(dp45039
g13
Nsg14
Nsg15
VFALSE
p45040
sbNNNg8
(g9
g10
NtRp45041
(dp45042
g13
Nsg14
Nsg15
VFALSE
p45043
sbNNg8
(g9
g10
NtRp45044
(dp45045
g13
Nsg14
Nsg15
VFALSE
p45046
sbNNg8
(g9
g10
NtRp45047
(dp45048
g13
Nsg14
Nsg15
VFALSE
p45049
sbNg8
(g9
g10
NtRp45050
(dp45051
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b4013417-6075-4b9a-94cd-6514e87e9cec.png
p45052
sbg8
(g9
g10
NtRp45053
(dp45054
g13
Nsg14
Nsg15
VEPSG:3035
p45055
sbg8
(g9
g10
NtRp45056
(dp45057
g13
Nsg14
Nsg15
V2019-06-04
p45058
sbNNNg8
(g9
g10
NtRp45059
(dp45060
g13
Nsg14
Nsg15
Vvector
p45061
sbg8
(g9
g10
NtRp45062
(dp45063
g13
Nsg14
Nsg15
VSHP
p45064
sbNg8
(g9
g10
NtRp45065
(dp45066
g13
Nsg14
Nsg15
V1:10000000
p45067
sbNg8
(g9
g10
NtRp45068
(dp45069
g13
Nsg14
Nsg15
VThe Member State supplied distribution was gridded to 10km or equivalent grids.  This was due to the extreme heterogeneity of the supplied data. The data set covers the EU 25 (Terrestrial and Marine) and corresponds to the period 2001 to 2006.  The data was supplied during the Article 17 (Habitats Directive 92/43/EEC) reporting process.
p45070
sbg8
(g9
g10
NtRp45071
(dp45072
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b4013417-6075-4b9a-94cd-6514e87e9cec
p45073
sbg8
(g9
g10
NtRp45074
(dp45075
g13
Nsg14
g74
sg15
V2001
p45076
sbg8
(g9
g10
NtRp45077
(dp45078
g13
Nsg14
g74
sg15
V2006
p45079
sbg8
(g9
g10
NtRp45080
(dp45081
g13
Nsg14
Nsg15
VTRUE
p45082
sbg8
(g9
g10
NtRp45083
(dp45084
g13
Nsg14
Nsg15
VHabitats and biotopes
p45085
sbg8
(g9
g10
NtRp45086
(dp45087
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p45088
sbg8
(g9
g10
NtRp45089
(dp45090
g13
Nsg14
Nsg15
VFALSE
p45091
sbg8
(g9
g10
NtRp45092
(dp45093
g13
Nsg14
Nsg15
VEuropean Commission
p45094
sbg8
(g9
g10
NtRp45095
(dp45096
g13
Nsg14
Nsg15
VFALSE
p45097
sbNNNNNNNg8
(g9
g10
NtRp45098
(dp45099
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45100
(dp45101
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45102
(dp45103
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-hab_2001-2006
p45104
sbNg8
(g9
g10
NtRp45105
(dp45106
g13
Nsg14
Nsg15
Vsuperseded
p45107
sbtp45108
a(g8
(g9
g10
NtRp45109
(dp45110
g13
Nsg14
Nsg15
V0d3fae51-1873-4f46-acb5-5cd2e2ad2544
p45111
sbNg8
(g9
g10
NtRp45112
(dp45113
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (100km), May 2011
p45114
sbNNNNNg8
(g9
g10
NtRp45115
(dp45116
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45117
sbg8
(g23
g10
NtRp45118
(dp45119
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45120
sbNg8
(g9
g10
NtRp45121
(dp45122
g13
Nsg14
Nsg15
VFALSE
p45123
sbNNNg8
(g9
g10
NtRp45124
(dp45125
g13
Nsg14
Nsg15
VFALSE
p45126
sbNNg8
(g9
g10
NtRp45127
(dp45128
g13
Nsg14
Nsg15
VFALSE
p45129
sbNNg8
(g9
g10
NtRp45130
(dp45131
g13
Nsg14
Nsg15
VFALSE
p45132
sbNg8
(g9
g10
NtRp45133
(dp45134
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d3fae51-1873-4f46-acb5-5cd2e2ad2544.png
p45135
sbg8
(g9
g10
NtRp45136
(dp45137
g13
Nsg14
Nsg15
VEPSG:3035
p45138
sbg8
(g9
g10
NtRp45139
(dp45140
g13
Nsg14
Nsg15
V2019-06-04
p45141
sbNNNg8
(g9
g10
NtRp45142
(dp45143
g13
Nsg14
Nsg15
Vvector
p45144
sbg8
(g9
g10
NtRp45145
(dp45146
g13
Nsg14
Nsg15
VSHP
p45147
sbNg8
(g9
g10
NtRp45148
(dp45149
g13
Nsg14
Nsg15
V100000m
p45150
sbNg8
(g9
g10
NtRp45151
(dp45152
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45153
sbg8
(g9
g10
NtRp45154
(dp45155
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d3fae51-1873-4f46-acb5-5cd2e2ad2544
p45156
sbg8
(g9
g10
NtRp45157
(dp45158
g13
Nsg14
g74
sg15
V2011
p45159
sbg8
(g9
g10
NtRp45160
(dp45161
g13
Nsg14
g74
sg15
V2011
p45162
sbg8
(g9
g10
NtRp45163
(dp45164
g13
Nsg14
Nsg15
VFALSE
p45165
sbg8
(g9
g10
NtRp45166
(dp45167
g13
Nsg14
Nsg15
VGeographical grid systems
p45168
sbg8
(g9
g10
NtRp45169
(dp45170
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45171
sbg8
(g9
g10
NtRp45172
(dp45173
g13
Nsg14
Nsg15
VFALSE
p45174
sbg8
(g9
g10
NtRp45175
(dp45176
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45177
sbg8
(g9
g10
NtRp45178
(dp45179
g13
Nsg14
Nsg15
VFALSE
p45180
sbNNNNNNNg8
(g9
g10
NtRp45181
(dp45182
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45183
(dp45184
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45185
(dp45186
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-xk_2011
p45187
sbNg8
(g9
g10
NtRp45188
(dp45189
g13
Nsg14
Nsg15
Vobsolete
p45190
sbtp45191
a(g8
(g9
g10
NtRp45192
(dp45193
g13
Nsg14
Nsg15
Vbc1d2383-e126-4982-b626-74396213d38d
p45194
sbNg8
(g9
g10
NtRp45195
(dp45196
g13
Nsg14
Nsg15
VEEA reference grid for Italy (1km), May 2011
p45197
sbNNNNNg8
(g9
g10
NtRp45198
(dp45199
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45200
sbg8
(g23
g10
NtRp45201
(dp45202
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45203
sbNg8
(g9
g10
NtRp45204
(dp45205
g13
Nsg14
Nsg15
VFALSE
p45206
sbNNNg8
(g9
g10
NtRp45207
(dp45208
g13
Nsg14
Nsg15
VFALSE
p45209
sbNNg8
(g9
g10
NtRp45210
(dp45211
g13
Nsg14
Nsg15
VFALSE
p45212
sbNNg8
(g9
g10
NtRp45213
(dp45214
g13
Nsg14
Nsg15
VFALSE
p45215
sbNg8
(g9
g10
NtRp45216
(dp45217
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc1d2383-e126-4982-b626-74396213d38d.png
p45218
sbg8
(g9
g10
NtRp45219
(dp45220
g13
Nsg14
Nsg15
VEPSG:3035
p45221
sbg8
(g9
g10
NtRp45222
(dp45223
g13
Nsg14
Nsg15
V2019-06-04
p45224
sbNNNg8
(g9
g10
NtRp45225
(dp45226
g13
Nsg14
Nsg15
Vvector
p45227
sbg8
(g9
g10
NtRp45228
(dp45229
g13
Nsg14
Nsg15
VSHP
p45230
sbNg8
(g9
g10
NtRp45231
(dp45232
g13
Nsg14
Nsg15
V1000m
p45233
sbNg8
(g9
g10
NtRp45234
(dp45235
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45236
sbg8
(g9
g10
NtRp45237
(dp45238
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc1d2383-e126-4982-b626-74396213d38d
p45239
sbg8
(g9
g10
NtRp45240
(dp45241
g13
Nsg14
g74
sg15
V2011
p45242
sbg8
(g9
g10
NtRp45243
(dp45244
g13
Nsg14
g74
sg15
V2011
p45245
sbg8
(g9
g10
NtRp45246
(dp45247
g13
Nsg14
Nsg15
VFALSE
p45248
sbg8
(g9
g10
NtRp45249
(dp45250
g13
Nsg14
Nsg15
VGeographical grid systems
p45251
sbg8
(g9
g10
NtRp45252
(dp45253
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45254
sbg8
(g9
g10
NtRp45255
(dp45256
g13
Nsg14
Nsg15
VFALSE
p45257
sbg8
(g9
g10
NtRp45258
(dp45259
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45260
sbg8
(g9
g10
NtRp45261
(dp45262
g13
Nsg14
Nsg15
VFALSE
p45263
sbNNNNNNNg8
(g9
g10
NtRp45264
(dp45265
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45266
(dp45267
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45268
(dp45269
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-it_2011
p45270
sbNg8
(g9
g10
NtRp45271
(dp45272
g13
Nsg14
Nsg15
Vobsolete
p45273
sbtp45274
a(g8
(g9
g10
NtRp45275
(dp45276
g13
Nsg14
Nsg15
V3f46582f-f938-4ff6-b8a0-0f1db2209729
p45277
sbNg8
(g9
g10
NtRp45278
(dp45279
g13
Nsg14
Nsg15
VEEA reference grid for Romania (100km), May 2011
p45280
sbNNNNNg8
(g9
g10
NtRp45281
(dp45282
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45283
sbg8
(g23
g10
NtRp45284
(dp45285
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45286
sbNg8
(g9
g10
NtRp45287
(dp45288
g13
Nsg14
Nsg15
VFALSE
p45289
sbNNNg8
(g9
g10
NtRp45290
(dp45291
g13
Nsg14
Nsg15
VFALSE
p45292
sbNNg8
(g9
g10
NtRp45293
(dp45294
g13
Nsg14
Nsg15
VFALSE
p45295
sbNNg8
(g9
g10
NtRp45296
(dp45297
g13
Nsg14
Nsg15
VFALSE
p45298
sbNg8
(g9
g10
NtRp45299
(dp45300
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f46582f-f938-4ff6-b8a0-0f1db2209729.png
p45301
sbg8
(g9
g10
NtRp45302
(dp45303
g13
Nsg14
Nsg15
VEPSG:3035
p45304
sbg8
(g9
g10
NtRp45305
(dp45306
g13
Nsg14
Nsg15
V2019-06-04
p45307
sbNNNg8
(g9
g10
NtRp45308
(dp45309
g13
Nsg14
Nsg15
Vvector
p45310
sbg8
(g9
g10
NtRp45311
(dp45312
g13
Nsg14
Nsg15
VSHP
p45313
sbNg8
(g9
g10
NtRp45314
(dp45315
g13
Nsg14
Nsg15
V100000m
p45316
sbNg8
(g9
g10
NtRp45317
(dp45318
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45319
sbg8
(g9
g10
NtRp45320
(dp45321
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f46582f-f938-4ff6-b8a0-0f1db2209729
p45322
sbg8
(g9
g10
NtRp45323
(dp45324
g13
Nsg14
g74
sg15
V2011
p45325
sbg8
(g9
g10
NtRp45326
(dp45327
g13
Nsg14
g74
sg15
V2011
p45328
sbg8
(g9
g10
NtRp45329
(dp45330
g13
Nsg14
Nsg15
VFALSE
p45331
sbg8
(g9
g10
NtRp45332
(dp45333
g13
Nsg14
Nsg15
VGeographical grid systems
p45334
sbg8
(g9
g10
NtRp45335
(dp45336
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45337
sbg8
(g9
g10
NtRp45338
(dp45339
g13
Nsg14
Nsg15
VFALSE
p45340
sbg8
(g9
g10
NtRp45341
(dp45342
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45343
sbg8
(g9
g10
NtRp45344
(dp45345
g13
Nsg14
Nsg15
VFALSE
p45346
sbNNNNNNNg8
(g9
g10
NtRp45347
(dp45348
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45349
(dp45350
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45351
(dp45352
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ro_2011
p45353
sbNg8
(g9
g10
NtRp45354
(dp45355
g13
Nsg14
Nsg15
Vobsolete
p45356
sbtp45357
a(g8
(g9
g10
NtRp45358
(dp45359
g13
Nsg14
Nsg15
V1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d
p45360
sbNg8
(g9
g10
NtRp45361
(dp45362
g13
Nsg14
Nsg15
VEEA reference grid for Cyprus (1km), May 2011
p45363
sbNNNNNg8
(g9
g10
NtRp45364
(dp45365
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45366
sbg8
(g23
g10
NtRp45367
(dp45368
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45369
sbNg8
(g9
g10
NtRp45370
(dp45371
g13
Nsg14
Nsg15
VFALSE
p45372
sbNNNg8
(g9
g10
NtRp45373
(dp45374
g13
Nsg14
Nsg15
VFALSE
p45375
sbNNg8
(g9
g10
NtRp45376
(dp45377
g13
Nsg14
Nsg15
VFALSE
p45378
sbNNg8
(g9
g10
NtRp45379
(dp45380
g13
Nsg14
Nsg15
VFALSE
p45381
sbNg8
(g9
g10
NtRp45382
(dp45383
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d.png
p45384
sbg8
(g9
g10
NtRp45385
(dp45386
g13
Nsg14
Nsg15
VEPSG:3035
p45387
sbg8
(g9
g10
NtRp45388
(dp45389
g13
Nsg14
Nsg15
V2019-06-04
p45390
sbNNNg8
(g9
g10
NtRp45391
(dp45392
g13
Nsg14
Nsg15
Vvector
p45393
sbg8
(g9
g10
NtRp45394
(dp45395
g13
Nsg14
Nsg15
VSHP
p45396
sbNg8
(g9
g10
NtRp45397
(dp45398
g13
Nsg14
Nsg15
V1000m
p45399
sbNg8
(g9
g10
NtRp45400
(dp45401
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45402
sbg8
(g9
g10
NtRp45403
(dp45404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d
p45405
sbg8
(g9
g10
NtRp45406
(dp45407
g13
Nsg14
g74
sg15
V2011
p45408
sbg8
(g9
g10
NtRp45409
(dp45410
g13
Nsg14
g74
sg15
V2011
p45411
sbg8
(g9
g10
NtRp45412
(dp45413
g13
Nsg14
Nsg15
VFALSE
p45414
sbg8
(g9
g10
NtRp45415
(dp45416
g13
Nsg14
Nsg15
VGeographical grid systems
p45417
sbg8
(g9
g10
NtRp45418
(dp45419
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45420
sbg8
(g9
g10
NtRp45421
(dp45422
g13
Nsg14
Nsg15
VFALSE
p45423
sbg8
(g9
g10
NtRp45424
(dp45425
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45426
sbg8
(g9
g10
NtRp45427
(dp45428
g13
Nsg14
Nsg15
VFALSE
p45429
sbNNNNNNNg8
(g9
g10
NtRp45430
(dp45431
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45432
(dp45433
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45434
(dp45435
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-cy_2011
p45436
sbNg8
(g9
g10
NtRp45437
(dp45438
g13
Nsg14
Nsg15
Vobsolete
p45439
sbtp45440
a(g8
(g9
g10
NtRp45441
(dp45442
g13
Nsg14
Nsg15
V494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b
p45443
sbNg8
(g9
g10
NtRp45444
(dp45445
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (10km), May 2011
p45446
sbNNNNNg8
(g9
g10
NtRp45447
(dp45448
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45449
sbg8
(g23
g10
NtRp45450
(dp45451
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45452
sbNg8
(g9
g10
NtRp45453
(dp45454
g13
Nsg14
Nsg15
VFALSE
p45455
sbNNNg8
(g9
g10
NtRp45456
(dp45457
g13
Nsg14
Nsg15
VFALSE
p45458
sbNNg8
(g9
g10
NtRp45459
(dp45460
g13
Nsg14
Nsg15
VFALSE
p45461
sbNNg8
(g9
g10
NtRp45462
(dp45463
g13
Nsg14
Nsg15
VFALSE
p45464
sbNg8
(g9
g10
NtRp45465
(dp45466
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b.png
p45467
sbg8
(g9
g10
NtRp45468
(dp45469
g13
Nsg14
Nsg15
VEPSG:3035
p45470
sbg8
(g9
g10
NtRp45471
(dp45472
g13
Nsg14
Nsg15
V2019-06-04
p45473
sbNNNg8
(g9
g10
NtRp45474
(dp45475
g13
Nsg14
Nsg15
Vvector
p45476
sbg8
(g9
g10
NtRp45477
(dp45478
g13
Nsg14
Nsg15
VSHP
p45479
sbNg8
(g9
g10
NtRp45480
(dp45481
g13
Nsg14
Nsg15
V10000m
p45482
sbNg8
(g9
g10
NtRp45483
(dp45484
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45485
sbg8
(g9
g10
NtRp45486
(dp45487
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b
p45488
sbg8
(g9
g10
NtRp45489
(dp45490
g13
Nsg14
g74
sg15
V2011
p45491
sbg8
(g9
g10
NtRp45492
(dp45493
g13
Nsg14
g74
sg15
V2011
p45494
sbg8
(g9
g10
NtRp45495
(dp45496
g13
Nsg14
Nsg15
VFALSE
p45497
sbg8
(g9
g10
NtRp45498
(dp45499
g13
Nsg14
Nsg15
VGeographical grid systems
p45500
sbg8
(g9
g10
NtRp45501
(dp45502
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45503
sbg8
(g9
g10
NtRp45504
(dp45505
g13
Nsg14
Nsg15
VFALSE
p45506
sbg8
(g9
g10
NtRp45507
(dp45508
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45509
sbg8
(g9
g10
NtRp45510
(dp45511
g13
Nsg14
Nsg15
VFALSE
p45512
sbNNNNNNNg8
(g9
g10
NtRp45513
(dp45514
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45515
(dp45516
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45517
(dp45518
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-is_2011
p45519
sbNg8
(g9
g10
NtRp45520
(dp45521
g13
Nsg14
Nsg15
Vobsolete
p45522
sbtp45523
a(g8
(g9
g10
NtRp45524
(dp45525
g13
Nsg14
Nsg15
V3901f1f7-e3a9-4a23-8c51-82fefeac378a
p45526
sbNg8
(g9
g10
NtRp45527
(dp45528
g13
Nsg14
Nsg15
VEEA reference grid for Poland (100km), May 2011
p45529
sbNNNNNg8
(g9
g10
NtRp45530
(dp45531
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45532
sbg8
(g23
g10
NtRp45533
(dp45534
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45535
sbNg8
(g9
g10
NtRp45536
(dp45537
g13
Nsg14
Nsg15
VFALSE
p45538
sbNNNg8
(g9
g10
NtRp45539
(dp45540
g13
Nsg14
Nsg15
VFALSE
p45541
sbNNg8
(g9
g10
NtRp45542
(dp45543
g13
Nsg14
Nsg15
VFALSE
p45544
sbNNg8
(g9
g10
NtRp45545
(dp45546
g13
Nsg14
Nsg15
VFALSE
p45547
sbNg8
(g9
g10
NtRp45548
(dp45549
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3901f1f7-e3a9-4a23-8c51-82fefeac378a.png
p45550
sbg8
(g9
g10
NtRp45551
(dp45552
g13
Nsg14
Nsg15
VEPSG:3035
p45553
sbg8
(g9
g10
NtRp45554
(dp45555
g13
Nsg14
Nsg15
V2019-06-04
p45556
sbNNNg8
(g9
g10
NtRp45557
(dp45558
g13
Nsg14
Nsg15
Vvector
p45559
sbg8
(g9
g10
NtRp45560
(dp45561
g13
Nsg14
Nsg15
VSHP
p45562
sbNg8
(g9
g10
NtRp45563
(dp45564
g13
Nsg14
Nsg15
V100000m
p45565
sbNg8
(g9
g10
NtRp45566
(dp45567
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45568
sbg8
(g9
g10
NtRp45569
(dp45570
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3901f1f7-e3a9-4a23-8c51-82fefeac378a
p45571
sbg8
(g9
g10
NtRp45572
(dp45573
g13
Nsg14
g74
sg15
V2011
p45574
sbg8
(g9
g10
NtRp45575
(dp45576
g13
Nsg14
g74
sg15
V2011
p45577
sbg8
(g9
g10
NtRp45578
(dp45579
g13
Nsg14
Nsg15
VFALSE
p45580
sbg8
(g9
g10
NtRp45581
(dp45582
g13
Nsg14
Nsg15
VGeographical grid systems
p45583
sbg8
(g9
g10
NtRp45584
(dp45585
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45586
sbg8
(g9
g10
NtRp45587
(dp45588
g13
Nsg14
Nsg15
VFALSE
p45589
sbg8
(g9
g10
NtRp45590
(dp45591
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45592
sbg8
(g9
g10
NtRp45593
(dp45594
g13
Nsg14
Nsg15
VFALSE
p45595
sbNNNNNNNg8
(g9
g10
NtRp45596
(dp45597
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45598
(dp45599
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45600
(dp45601
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pl_2011
p45602
sbNg8
(g9
g10
NtRp45603
(dp45604
g13
Nsg14
Nsg15
Vobsolete
p45605
sbtp45606
a(g8
(g9
g10
NtRp45607
(dp45608
g13
Nsg14
Nsg15
Vca27341a-b100-4466-92b6-ba13912c6f36
p45609
sbNg8
(g9
g10
NtRp45610
(dp45611
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (1km), May 2011
p45612
sbNNNNNg8
(g9
g10
NtRp45613
(dp45614
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45615
sbg8
(g23
g10
NtRp45616
(dp45617
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45618
sbNg8
(g9
g10
NtRp45619
(dp45620
g13
Nsg14
Nsg15
VFALSE
p45621
sbNNNg8
(g9
g10
NtRp45622
(dp45623
g13
Nsg14
Nsg15
VFALSE
p45624
sbNNg8
(g9
g10
NtRp45625
(dp45626
g13
Nsg14
Nsg15
VFALSE
p45627
sbNNg8
(g9
g10
NtRp45628
(dp45629
g13
Nsg14
Nsg15
VFALSE
p45630
sbNg8
(g9
g10
NtRp45631
(dp45632
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ca27341a-b100-4466-92b6-ba13912c6f36.png
p45633
sbg8
(g9
g10
NtRp45634
(dp45635
g13
Nsg14
Nsg15
VEPSG:3035
p45636
sbg8
(g9
g10
NtRp45637
(dp45638
g13
Nsg14
Nsg15
V2019-06-04
p45639
sbNNNg8
(g9
g10
NtRp45640
(dp45641
g13
Nsg14
Nsg15
Vvector
p45642
sbg8
(g9
g10
NtRp45643
(dp45644
g13
Nsg14
Nsg15
VSHP
p45645
sbNg8
(g9
g10
NtRp45646
(dp45647
g13
Nsg14
Nsg15
V1000m
p45648
sbNg8
(g9
g10
NtRp45649
(dp45650
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45651
sbg8
(g9
g10
NtRp45652
(dp45653
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ca27341a-b100-4466-92b6-ba13912c6f36
p45654
sbg8
(g9
g10
NtRp45655
(dp45656
g13
Nsg14
g74
sg15
V2011
p45657
sbg8
(g9
g10
NtRp45658
(dp45659
g13
Nsg14
g74
sg15
V2011
p45660
sbg8
(g9
g10
NtRp45661
(dp45662
g13
Nsg14
Nsg15
VFALSE
p45663
sbg8
(g9
g10
NtRp45664
(dp45665
g13
Nsg14
Nsg15
VGeographical grid systems
p45666
sbg8
(g9
g10
NtRp45667
(dp45668
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45669
sbg8
(g9
g10
NtRp45670
(dp45671
g13
Nsg14
Nsg15
VFALSE
p45672
sbg8
(g9
g10
NtRp45673
(dp45674
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45675
sbg8
(g9
g10
NtRp45676
(dp45677
g13
Nsg14
Nsg15
VFALSE
p45678
sbNNNNNNNg8
(g9
g10
NtRp45679
(dp45680
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45681
(dp45682
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45683
(dp45684
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt-30_2011
p45685
sbNg8
(g9
g10
NtRp45686
(dp45687
g13
Nsg14
Nsg15
Vobsolete
p45688
sbtp45689
a(g8
(g9
g10
NtRp45690
(dp45691
g13
Nsg14
Nsg15
Vf9447505-c78c-4abe-9f8a-9e8fc78175c1
p45692
sbNg8
(g9
g10
NtRp45693
(dp45694
g13
Nsg14
Nsg15
VEEA reference grid for Hungary (100km), May 2011
p45695
sbNNNNNg8
(g9
g10
NtRp45696
(dp45697
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45698
sbg8
(g23
g10
NtRp45699
(dp45700
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45701
sbNg8
(g9
g10
NtRp45702
(dp45703
g13
Nsg14
Nsg15
VFALSE
p45704
sbNNNg8
(g9
g10
NtRp45705
(dp45706
g13
Nsg14
Nsg15
VFALSE
p45707
sbNNg8
(g9
g10
NtRp45708
(dp45709
g13
Nsg14
Nsg15
VFALSE
p45710
sbNNg8
(g9
g10
NtRp45711
(dp45712
g13
Nsg14
Nsg15
VFALSE
p45713
sbNg8
(g9
g10
NtRp45714
(dp45715
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9447505-c78c-4abe-9f8a-9e8fc78175c1.png
p45716
sbg8
(g9
g10
NtRp45717
(dp45718
g13
Nsg14
Nsg15
VEPSG:3035
p45719
sbg8
(g9
g10
NtRp45720
(dp45721
g13
Nsg14
Nsg15
V2019-06-04
p45722
sbNNNg8
(g9
g10
NtRp45723
(dp45724
g13
Nsg14
Nsg15
Vvector
p45725
sbg8
(g9
g10
NtRp45726
(dp45727
g13
Nsg14
Nsg15
VSHP
p45728
sbNg8
(g9
g10
NtRp45729
(dp45730
g13
Nsg14
Nsg15
V100000m
p45731
sbNg8
(g9
g10
NtRp45732
(dp45733
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45734
sbg8
(g9
g10
NtRp45735
(dp45736
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9447505-c78c-4abe-9f8a-9e8fc78175c1
p45737
sbg8
(g9
g10
NtRp45738
(dp45739
g13
Nsg14
g74
sg15
V2011
p45740
sbg8
(g9
g10
NtRp45741
(dp45742
g13
Nsg14
g74
sg15
V2011
p45743
sbg8
(g9
g10
NtRp45744
(dp45745
g13
Nsg14
Nsg15
VFALSE
p45746
sbg8
(g9
g10
NtRp45747
(dp45748
g13
Nsg14
Nsg15
VGeographical grid systems
p45749
sbg8
(g9
g10
NtRp45750
(dp45751
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45752
sbg8
(g9
g10
NtRp45753
(dp45754
g13
Nsg14
Nsg15
VFALSE
p45755
sbg8
(g9
g10
NtRp45756
(dp45757
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45758
sbg8
(g9
g10
NtRp45759
(dp45760
g13
Nsg14
Nsg15
VFALSE
p45761
sbNNNNNNNg8
(g9
g10
NtRp45762
(dp45763
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45764
(dp45765
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45766
(dp45767
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-hu_2011
p45768
sbNg8
(g9
g10
NtRp45769
(dp45770
g13
Nsg14
Nsg15
Vobsolete
p45771
sbtp45772
a(g8
(g9
g10
NtRp45773
(dp45774
g13
Nsg14
Nsg15
V2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf
p45775
sbNg8
(g9
g10
NtRp45776
(dp45777
g13
Nsg14
Nsg15
VEEA reference grid for Canary Islands (1km), May 2011
p45778
sbNNNNNg8
(g9
g10
NtRp45779
(dp45780
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45781
sbg8
(g23
g10
NtRp45782
(dp45783
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45784
sbNg8
(g9
g10
NtRp45785
(dp45786
g13
Nsg14
Nsg15
VFALSE
p45787
sbNNNg8
(g9
g10
NtRp45788
(dp45789
g13
Nsg14
Nsg15
VFALSE
p45790
sbNNg8
(g9
g10
NtRp45791
(dp45792
g13
Nsg14
Nsg15
VFALSE
p45793
sbNNg8
(g9
g10
NtRp45794
(dp45795
g13
Nsg14
Nsg15
VFALSE
p45796
sbNg8
(g9
g10
NtRp45797
(dp45798
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf.png
p45799
sbg8
(g9
g10
NtRp45800
(dp45801
g13
Nsg14
Nsg15
VEPSG:3035
p45802
sbg8
(g9
g10
NtRp45803
(dp45804
g13
Nsg14
Nsg15
V2019-06-04
p45805
sbNNNg8
(g9
g10
NtRp45806
(dp45807
g13
Nsg14
Nsg15
Vvector
p45808
sbg8
(g9
g10
NtRp45809
(dp45810
g13
Nsg14
Nsg15
VSHP
p45811
sbNg8
(g9
g10
NtRp45812
(dp45813
g13
Nsg14
Nsg15
V1000m
p45814
sbNg8
(g9
g10
NtRp45815
(dp45816
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45817
sbg8
(g9
g10
NtRp45818
(dp45819
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf
p45820
sbg8
(g9
g10
NtRp45821
(dp45822
g13
Nsg14
g74
sg15
V2011
p45823
sbg8
(g9
g10
NtRp45824
(dp45825
g13
Nsg14
g74
sg15
V2011
p45826
sbg8
(g9
g10
NtRp45827
(dp45828
g13
Nsg14
Nsg15
VFALSE
p45829
sbg8
(g9
g10
NtRp45830
(dp45831
g13
Nsg14
Nsg15
VGeographical grid systems
p45832
sbg8
(g9
g10
NtRp45833
(dp45834
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45835
sbg8
(g9
g10
NtRp45836
(dp45837
g13
Nsg14
Nsg15
VFALSE
p45838
sbg8
(g9
g10
NtRp45839
(dp45840
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45841
sbg8
(g9
g10
NtRp45842
(dp45843
g13
Nsg14
Nsg15
VFALSE
p45844
sbNNNNNNNg8
(g9
g10
NtRp45845
(dp45846
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45847
(dp45848
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45849
(dp45850
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ic_2011
p45851
sbNg8
(g9
g10
NtRp45852
(dp45853
g13
Nsg14
Nsg15
Vobsolete
p45854
sbtp45855
a(g8
(g9
g10
NtRp45856
(dp45857
g13
Nsg14
Nsg15
V56d8dbbb-79b4-4859-acea-355ed9dc449a
p45858
sbNg8
(g9
g10
NtRp45859
(dp45860
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (10km), May 2011
p45861
sbNNNNNg8
(g9
g10
NtRp45862
(dp45863
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45864
sbg8
(g23
g10
NtRp45865
(dp45866
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45867
sbNg8
(g9
g10
NtRp45868
(dp45869
g13
Nsg14
Nsg15
VFALSE
p45870
sbNNNg8
(g9
g10
NtRp45871
(dp45872
g13
Nsg14
Nsg15
VFALSE
p45873
sbNNg8
(g9
g10
NtRp45874
(dp45875
g13
Nsg14
Nsg15
VFALSE
p45876
sbNNg8
(g9
g10
NtRp45877
(dp45878
g13
Nsg14
Nsg15
VFALSE
p45879
sbNg8
(g9
g10
NtRp45880
(dp45881
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/56d8dbbb-79b4-4859-acea-355ed9dc449a.png
p45882
sbg8
(g9
g10
NtRp45883
(dp45884
g13
Nsg14
Nsg15
VEPSG:3035
p45885
sbg8
(g9
g10
NtRp45886
(dp45887
g13
Nsg14
Nsg15
V2019-06-04
p45888
sbNNNg8
(g9
g10
NtRp45889
(dp45890
g13
Nsg14
Nsg15
Vvector
p45891
sbg8
(g9
g10
NtRp45892
(dp45893
g13
Nsg14
Nsg15
VSHP
p45894
sbNg8
(g9
g10
NtRp45895
(dp45896
g13
Nsg14
Nsg15
V10000m
p45897
sbNg8
(g9
g10
NtRp45898
(dp45899
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45900
sbg8
(g9
g10
NtRp45901
(dp45902
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56d8dbbb-79b4-4859-acea-355ed9dc449a
p45903
sbg8
(g9
g10
NtRp45904
(dp45905
g13
Nsg14
g74
sg15
V2011
p45906
sbg8
(g9
g10
NtRp45907
(dp45908
g13
Nsg14
g74
sg15
V2011
p45909
sbg8
(g9
g10
NtRp45910
(dp45911
g13
Nsg14
Nsg15
VFALSE
p45912
sbg8
(g9
g10
NtRp45913
(dp45914
g13
Nsg14
Nsg15
VGeographical grid systems
p45915
sbg8
(g9
g10
NtRp45916
(dp45917
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p45918
sbg8
(g9
g10
NtRp45919
(dp45920
g13
Nsg14
Nsg15
VFALSE
p45921
sbg8
(g9
g10
NtRp45922
(dp45923
g13
Nsg14
Nsg15
VEuropean Environment Agency
p45924
sbg8
(g9
g10
NtRp45925
(dp45926
g13
Nsg14
Nsg15
VFALSE
p45927
sbNNNNNNNg8
(g9
g10
NtRp45928
(dp45929
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp45930
(dp45931
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp45932
(dp45933
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-sk_2011
p45934
sbNg8
(g9
g10
NtRp45935
(dp45936
g13
Nsg14
Nsg15
Vobsolete
p45937
sbtp45938
a(g8
(g9
g10
NtRp45939
(dp45940
g13
Nsg14
Nsg15
V94b66808-26c4-44fa-8f16-caaf8be09b67
p45941
sbNg8
(g9
g10
NtRp45942
(dp45943
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (1km), May 2011
p45944
sbNNNNNg8
(g9
g10
NtRp45945
(dp45946
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p45947
sbg8
(g23
g10
NtRp45948
(dp45949
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p45950
sbNg8
(g9
g10
NtRp45951
(dp45952
g13
Nsg14
Nsg15
VFALSE
p45953
sbNNNg8
(g9
g10
NtRp45954
(dp45955
g13
Nsg14
Nsg15
VFALSE
p45956
sbNNg8
(g9
g10
NtRp45957
(dp45958
g13
Nsg14
Nsg15
VFALSE
p45959
sbNNg8
(g9
g10
NtRp45960
(dp45961
g13
Nsg14
Nsg15
VFALSE
p45962
sbNg8
(g9
g10
NtRp45963
(dp45964
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94b66808-26c4-44fa-8f16-caaf8be09b67.png
p45965
sbg8
(g9
g10
NtRp45966
(dp45967
g13
Nsg14
Nsg15
VEPSG:3035
p45968
sbg8
(g9
g10
NtRp45969
(dp45970
g13
Nsg14
Nsg15
V2019-06-04
p45971
sbNNNg8
(g9
g10
NtRp45972
(dp45973
g13
Nsg14
Nsg15
Vvector
p45974
sbg8
(g9
g10
NtRp45975
(dp45976
g13
Nsg14
Nsg15
VSHP
p45977
sbNg8
(g9
g10
NtRp45978
(dp45979
g13
Nsg14
Nsg15
V1000m
p45980
sbNg8
(g9
g10
NtRp45981
(dp45982
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p45983
sbg8
(g9
g10
NtRp45984
(dp45985
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94b66808-26c4-44fa-8f16-caaf8be09b67
p45986
sbg8
(g9
g10
NtRp45987
(dp45988
g13
Nsg14
g74
sg15
V2011
p45989
sbg8
(g9
g10
NtRp45990
(dp45991
g13
Nsg14
g74
sg15
V2011
p45992
sbg8
(g9
g10
NtRp45993
(dp45994
g13
Nsg14
Nsg15
VFALSE
p45995
sbg8
(g9
g10
NtRp45996
(dp45997
g13
Nsg14
Nsg15
VGeographical grid systems
p45998
sbg8
(g9
g10
NtRp45999
(dp46000
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46001
sbg8
(g9
g10
NtRp46002
(dp46003
g13
Nsg14
Nsg15
VFALSE
p46004
sbg8
(g9
g10
NtRp46005
(dp46006
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46007
sbg8
(g9
g10
NtRp46008
(dp46009
g13
Nsg14
Nsg15
VFALSE
p46010
sbNNNNNNNg8
(g9
g10
NtRp46011
(dp46012
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46013
(dp46014
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46015
(dp46016
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-mk_2011
p46017
sbNg8
(g9
g10
NtRp46018
(dp46019
g13
Nsg14
Nsg15
Vobsolete
p46020
sbtp46021
a(g8
(g9
g10
NtRp46022
(dp46023
g13
Nsg14
Nsg15
V744589ba-7a58-4d6f-a990-5058f467a2b6
p46024
sbNg8
(g9
g10
NtRp46025
(dp46026
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (10km), May 2011
p46027
sbNNNNNg8
(g9
g10
NtRp46028
(dp46029
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46030
sbg8
(g23
g10
NtRp46031
(dp46032
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46033
sbNg8
(g9
g10
NtRp46034
(dp46035
g13
Nsg14
Nsg15
VFALSE
p46036
sbNNNg8
(g9
g10
NtRp46037
(dp46038
g13
Nsg14
Nsg15
VFALSE
p46039
sbNNg8
(g9
g10
NtRp46040
(dp46041
g13
Nsg14
Nsg15
VFALSE
p46042
sbNNg8
(g9
g10
NtRp46043
(dp46044
g13
Nsg14
Nsg15
VFALSE
p46045
sbNg8
(g9
g10
NtRp46046
(dp46047
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/744589ba-7a58-4d6f-a990-5058f467a2b6.png
p46048
sbg8
(g9
g10
NtRp46049
(dp46050
g13
Nsg14
Nsg15
VEPSG:3035
p46051
sbg8
(g9
g10
NtRp46052
(dp46053
g13
Nsg14
Nsg15
V2019-06-04
p46054
sbNNNg8
(g9
g10
NtRp46055
(dp46056
g13
Nsg14
Nsg15
Vvector
p46057
sbg8
(g9
g10
NtRp46058
(dp46059
g13
Nsg14
Nsg15
VSHP
p46060
sbNg8
(g9
g10
NtRp46061
(dp46062
g13
Nsg14
Nsg15
V10000m
p46063
sbNg8
(g9
g10
NtRp46064
(dp46065
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46066
sbg8
(g9
g10
NtRp46067
(dp46068
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744589ba-7a58-4d6f-a990-5058f467a2b6
p46069
sbg8
(g9
g10
NtRp46070
(dp46071
g13
Nsg14
g74
sg15
V2011
p46072
sbg8
(g9
g10
NtRp46073
(dp46074
g13
Nsg14
g74
sg15
V2011
p46075
sbg8
(g9
g10
NtRp46076
(dp46077
g13
Nsg14
Nsg15
VFALSE
p46078
sbg8
(g9
g10
NtRp46079
(dp46080
g13
Nsg14
Nsg15
VGeographical grid systems
p46081
sbg8
(g9
g10
NtRp46082
(dp46083
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46084
sbg8
(g9
g10
NtRp46085
(dp46086
g13
Nsg14
Nsg15
VFALSE
p46087
sbg8
(g9
g10
NtRp46088
(dp46089
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46090
sbg8
(g9
g10
NtRp46091
(dp46092
g13
Nsg14
Nsg15
VFALSE
p46093
sbNNNNNNNg8
(g9
g10
NtRp46094
(dp46095
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46096
(dp46097
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46098
(dp46099
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-li_2011
p46100
sbNg8
(g9
g10
NtRp46101
(dp46102
g13
Nsg14
Nsg15
Vobsolete
p46103
sbtp46104
a(g8
(g9
g10
NtRp46105
(dp46106
g13
Nsg14
Nsg15
Vf78749ac-3d9c-45b3-96e5-7ff54cfdbdde
p46107
sbNg8
(g9
g10
NtRp46108
(dp46109
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (10km), May 2011
p46110
sbNNNNNg8
(g9
g10
NtRp46111
(dp46112
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46113
sbg8
(g23
g10
NtRp46114
(dp46115
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46116
sbNg8
(g9
g10
NtRp46117
(dp46118
g13
Nsg14
Nsg15
VFALSE
p46119
sbNNNg8
(g9
g10
NtRp46120
(dp46121
g13
Nsg14
Nsg15
VFALSE
p46122
sbNNg8
(g9
g10
NtRp46123
(dp46124
g13
Nsg14
Nsg15
VFALSE
p46125
sbNNg8
(g9
g10
NtRp46126
(dp46127
g13
Nsg14
Nsg15
VFALSE
p46128
sbNg8
(g9
g10
NtRp46129
(dp46130
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78749ac-3d9c-45b3-96e5-7ff54cfdbdde.png
p46131
sbg8
(g9
g10
NtRp46132
(dp46133
g13
Nsg14
Nsg15
VEPSG:3035
p46134
sbg8
(g9
g10
NtRp46135
(dp46136
g13
Nsg14
Nsg15
V2019-06-04
p46137
sbNNNg8
(g9
g10
NtRp46138
(dp46139
g13
Nsg14
Nsg15
Vvector
p46140
sbg8
(g9
g10
NtRp46141
(dp46142
g13
Nsg14
Nsg15
VSHP
p46143
sbNg8
(g9
g10
NtRp46144
(dp46145
g13
Nsg14
Nsg15
V10000m
p46146
sbNg8
(g9
g10
NtRp46147
(dp46148
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46149
sbg8
(g9
g10
NtRp46150
(dp46151
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78749ac-3d9c-45b3-96e5-7ff54cfdbdde
p46152
sbg8
(g9
g10
NtRp46153
(dp46154
g13
Nsg14
g74
sg15
V2011
p46155
sbg8
(g9
g10
NtRp46156
(dp46157
g13
Nsg14
g74
sg15
V2011
p46158
sbg8
(g9
g10
NtRp46159
(dp46160
g13
Nsg14
Nsg15
VFALSE
p46161
sbg8
(g9
g10
NtRp46162
(dp46163
g13
Nsg14
Nsg15
VGeographical grid systems
p46164
sbg8
(g9
g10
NtRp46165
(dp46166
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46167
sbg8
(g9
g10
NtRp46168
(dp46169
g13
Nsg14
Nsg15
VFALSE
p46170
sbg8
(g9
g10
NtRp46171
(dp46172
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46173
sbg8
(g9
g10
NtRp46174
(dp46175
g13
Nsg14
Nsg15
VFALSE
p46176
sbNNNNNNNg8
(g9
g10
NtRp46177
(dp46178
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46179
(dp46180
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46181
(dp46182
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt-30_2011
p46183
sbNg8
(g9
g10
NtRp46184
(dp46185
g13
Nsg14
Nsg15
Vobsolete
p46186
sbtp46187
a(g8
(g9
g10
NtRp46188
(dp46189
g13
Nsg14
Nsg15
V0c1533ab-2766-4317-a023-b00925f340c8
p46190
sbNg8
(g9
g10
NtRp46191
(dp46192
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (1km), May 2011
p46193
sbNNNNNg8
(g9
g10
NtRp46194
(dp46195
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46196
sbg8
(g23
g10
NtRp46197
(dp46198
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46199
sbNg8
(g9
g10
NtRp46200
(dp46201
g13
Nsg14
Nsg15
VFALSE
p46202
sbNNNg8
(g9
g10
NtRp46203
(dp46204
g13
Nsg14
Nsg15
VFALSE
p46205
sbNNg8
(g9
g10
NtRp46206
(dp46207
g13
Nsg14
Nsg15
VFALSE
p46208
sbNNg8
(g9
g10
NtRp46209
(dp46210
g13
Nsg14
Nsg15
VFALSE
p46211
sbNg8
(g9
g10
NtRp46212
(dp46213
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1533ab-2766-4317-a023-b00925f340c8.png
p46214
sbg8
(g9
g10
NtRp46215
(dp46216
g13
Nsg14
Nsg15
VEPSG:3035
p46217
sbg8
(g9
g10
NtRp46218
(dp46219
g13
Nsg14
Nsg15
V2019-06-04
p46220
sbNNNg8
(g9
g10
NtRp46221
(dp46222
g13
Nsg14
Nsg15
Vvector
p46223
sbg8
(g9
g10
NtRp46224
(dp46225
g13
Nsg14
Nsg15
VSHP
p46226
sbNg8
(g9
g10
NtRp46227
(dp46228
g13
Nsg14
Nsg15
V1000m
p46229
sbNg8
(g9
g10
NtRp46230
(dp46231
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46232
sbg8
(g9
g10
NtRp46233
(dp46234
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1533ab-2766-4317-a023-b00925f340c8
p46235
sbg8
(g9
g10
NtRp46236
(dp46237
g13
Nsg14
g74
sg15
V2011
p46238
sbg8
(g9
g10
NtRp46239
(dp46240
g13
Nsg14
g74
sg15
V2011
p46241
sbg8
(g9
g10
NtRp46242
(dp46243
g13
Nsg14
Nsg15
VFALSE
p46244
sbg8
(g9
g10
NtRp46245
(dp46246
g13
Nsg14
Nsg15
VGeographical grid systems
p46247
sbg8
(g9
g10
NtRp46248
(dp46249
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46250
sbg8
(g9
g10
NtRp46251
(dp46252
g13
Nsg14
Nsg15
VFALSE
p46253
sbg8
(g9
g10
NtRp46254
(dp46255
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46256
sbg8
(g9
g10
NtRp46257
(dp46258
g13
Nsg14
Nsg15
VFALSE
p46259
sbNNNNNNNg8
(g9
g10
NtRp46260
(dp46261
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46262
(dp46263
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46264
(dp46265
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lv_2011
p46266
sbNg8
(g9
g10
NtRp46267
(dp46268
g13
Nsg14
Nsg15
Vobsolete
p46269
sbtp46270
a(g8
(g9
g10
NtRp46271
(dp46272
g13
Nsg14
Nsg15
V4666285b-8d51-4e5c-8a63-c2e2438cb375
p46273
sbNg8
(g9
g10
NtRp46274
(dp46275
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (10km), May 2011
p46276
sbNNNNNg8
(g9
g10
NtRp46277
(dp46278
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46279
sbg8
(g23
g10
NtRp46280
(dp46281
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46282
sbNg8
(g9
g10
NtRp46283
(dp46284
g13
Nsg14
Nsg15
VFALSE
p46285
sbNNNg8
(g9
g10
NtRp46286
(dp46287
g13
Nsg14
Nsg15
VFALSE
p46288
sbNNg8
(g9
g10
NtRp46289
(dp46290
g13
Nsg14
Nsg15
VFALSE
p46291
sbNNg8
(g9
g10
NtRp46292
(dp46293
g13
Nsg14
Nsg15
VFALSE
p46294
sbNg8
(g9
g10
NtRp46295
(dp46296
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4666285b-8d51-4e5c-8a63-c2e2438cb375.png
p46297
sbg8
(g9
g10
NtRp46298
(dp46299
g13
Nsg14
Nsg15
VEPSG:3035
p46300
sbg8
(g9
g10
NtRp46301
(dp46302
g13
Nsg14
Nsg15
V2019-06-04
p46303
sbNNNg8
(g9
g10
NtRp46304
(dp46305
g13
Nsg14
Nsg15
Vvector
p46306
sbg8
(g9
g10
NtRp46307
(dp46308
g13
Nsg14
Nsg15
VSHP
p46309
sbNg8
(g9
g10
NtRp46310
(dp46311
g13
Nsg14
Nsg15
V10000m
p46312
sbNg8
(g9
g10
NtRp46313
(dp46314
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46315
sbg8
(g9
g10
NtRp46316
(dp46317
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4666285b-8d51-4e5c-8a63-c2e2438cb375
p46318
sbg8
(g9
g10
NtRp46319
(dp46320
g13
Nsg14
g74
sg15
V2011
p46321
sbg8
(g9
g10
NtRp46322
(dp46323
g13
Nsg14
g74
sg15
V2011
p46324
sbg8
(g9
g10
NtRp46325
(dp46326
g13
Nsg14
Nsg15
VFALSE
p46327
sbg8
(g9
g10
NtRp46328
(dp46329
g13
Nsg14
Nsg15
VGeographical grid systems
p46330
sbg8
(g9
g10
NtRp46331
(dp46332
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46333
sbg8
(g9
g10
NtRp46334
(dp46335
g13
Nsg14
Nsg15
VFALSE
p46336
sbg8
(g9
g10
NtRp46337
(dp46338
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46339
sbg8
(g9
g10
NtRp46340
(dp46341
g13
Nsg14
Nsg15
VFALSE
p46342
sbNNNNNNNg8
(g9
g10
NtRp46343
(dp46344
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46345
(dp46346
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46347
(dp46348
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt_2011
p46349
sbNg8
(g9
g10
NtRp46350
(dp46351
g13
Nsg14
Nsg15
Vobsolete
p46352
sbtp46353
a(g8
(g9
g10
NtRp46354
(dp46355
g13
Nsg14
Nsg15
V33645b04-2afa-48fa-9399-85df8953d437
p46356
sbNg8
(g9
g10
NtRp46357
(dp46358
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (100km), May 2011
p46359
sbNNNNNg8
(g9
g10
NtRp46360
(dp46361
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46362
sbg8
(g23
g10
NtRp46363
(dp46364
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46365
sbNg8
(g9
g10
NtRp46366
(dp46367
g13
Nsg14
Nsg15
VFALSE
p46368
sbNNNg8
(g9
g10
NtRp46369
(dp46370
g13
Nsg14
Nsg15
VFALSE
p46371
sbNNg8
(g9
g10
NtRp46372
(dp46373
g13
Nsg14
Nsg15
VFALSE
p46374
sbNNg8
(g9
g10
NtRp46375
(dp46376
g13
Nsg14
Nsg15
VFALSE
p46377
sbNg8
(g9
g10
NtRp46378
(dp46379
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/33645b04-2afa-48fa-9399-85df8953d437.png
p46380
sbg8
(g9
g10
NtRp46381
(dp46382
g13
Nsg14
Nsg15
VEPSG:3035
p46383
sbg8
(g9
g10
NtRp46384
(dp46385
g13
Nsg14
Nsg15
V2019-06-04
p46386
sbNNNg8
(g9
g10
NtRp46387
(dp46388
g13
Nsg14
Nsg15
Vvector
p46389
sbg8
(g9
g10
NtRp46390
(dp46391
g13
Nsg14
Nsg15
VSHP
p46392
sbNg8
(g9
g10
NtRp46393
(dp46394
g13
Nsg14
Nsg15
V100000m
p46395
sbNg8
(g9
g10
NtRp46396
(dp46397
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46398
sbg8
(g9
g10
NtRp46399
(dp46400
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33645b04-2afa-48fa-9399-85df8953d437
p46401
sbg8
(g9
g10
NtRp46402
(dp46403
g13
Nsg14
g74
sg15
V2011
p46404
sbg8
(g9
g10
NtRp46405
(dp46406
g13
Nsg14
g74
sg15
V2011
p46407
sbg8
(g9
g10
NtRp46408
(dp46409
g13
Nsg14
Nsg15
VFALSE
p46410
sbg8
(g9
g10
NtRp46411
(dp46412
g13
Nsg14
Nsg15
VGeographical grid systems
p46413
sbg8
(g9
g10
NtRp46414
(dp46415
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46416
sbg8
(g9
g10
NtRp46417
(dp46418
g13
Nsg14
Nsg15
VFALSE
p46419
sbg8
(g9
g10
NtRp46420
(dp46421
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46422
sbg8
(g9
g10
NtRp46423
(dp46424
g13
Nsg14
Nsg15
VFALSE
p46425
sbNNNNNNNg8
(g9
g10
NtRp46426
(dp46427
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46428
(dp46429
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46430
(dp46431
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-sk_2011
p46432
sbNg8
(g9
g10
NtRp46433
(dp46434
g13
Nsg14
Nsg15
Vobsolete
p46435
sbtp46436
a(g8
(g9
g10
NtRp46437
(dp46438
g13
Nsg14
Nsg15
Vf14cdb8d-3379-453f-abce-4e845abfe218
p46439
sbNg8
(g9
g10
NtRp46440
(dp46441
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (100km), May 2011
p46442
sbNNNNNg8
(g9
g10
NtRp46443
(dp46444
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46445
sbg8
(g23
g10
NtRp46446
(dp46447
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46448
sbNg8
(g9
g10
NtRp46449
(dp46450
g13
Nsg14
Nsg15
VFALSE
p46451
sbNNNg8
(g9
g10
NtRp46452
(dp46453
g13
Nsg14
Nsg15
VFALSE
p46454
sbNNg8
(g9
g10
NtRp46455
(dp46456
g13
Nsg14
Nsg15
VFALSE
p46457
sbNNg8
(g9
g10
NtRp46458
(dp46459
g13
Nsg14
Nsg15
VFALSE
p46460
sbNg8
(g9
g10
NtRp46461
(dp46462
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f14cdb8d-3379-453f-abce-4e845abfe218.png
p46463
sbg8
(g9
g10
NtRp46464
(dp46465
g13
Nsg14
Nsg15
VEPSG:3035
p46466
sbg8
(g9
g10
NtRp46467
(dp46468
g13
Nsg14
Nsg15
V2019-06-04
p46469
sbNNNg8
(g9
g10
NtRp46470
(dp46471
g13
Nsg14
Nsg15
Vvector
p46472
sbg8
(g9
g10
NtRp46473
(dp46474
g13
Nsg14
Nsg15
VSHP
p46475
sbNg8
(g9
g10
NtRp46476
(dp46477
g13
Nsg14
Nsg15
V100000m
p46478
sbNg8
(g9
g10
NtRp46479
(dp46480
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46481
sbg8
(g9
g10
NtRp46482
(dp46483
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f14cdb8d-3379-453f-abce-4e845abfe218
p46484
sbg8
(g9
g10
NtRp46485
(dp46486
g13
Nsg14
g74
sg15
V2011
p46487
sbg8
(g9
g10
NtRp46488
(dp46489
g13
Nsg14
g74
sg15
V2011
p46490
sbg8
(g9
g10
NtRp46491
(dp46492
g13
Nsg14
Nsg15
VFALSE
p46493
sbg8
(g9
g10
NtRp46494
(dp46495
g13
Nsg14
Nsg15
VGeographical grid systems
p46496
sbg8
(g9
g10
NtRp46497
(dp46498
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46499
sbg8
(g9
g10
NtRp46500
(dp46501
g13
Nsg14
Nsg15
VFALSE
p46502
sbg8
(g9
g10
NtRp46503
(dp46504
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46505
sbg8
(g9
g10
NtRp46506
(dp46507
g13
Nsg14
Nsg15
VFALSE
p46508
sbNNNNNNNg8
(g9
g10
NtRp46509
(dp46510
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46511
(dp46512
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46513
(dp46514
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-se_2011
p46515
sbNg8
(g9
g10
NtRp46516
(dp46517
g13
Nsg14
Nsg15
Vobsolete
p46518
sbtp46519
a(g8
(g9
g10
NtRp46520
(dp46521
g13
Nsg14
Nsg15
Vbf9d3e68-3f99-4851-8179-3ba3aad493bf
p46522
sbNg8
(g9
g10
NtRp46523
(dp46524
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (1km), May 2011
p46525
sbNNNNNg8
(g9
g10
NtRp46526
(dp46527
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46528
sbg8
(g23
g10
NtRp46529
(dp46530
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46531
sbNg8
(g9
g10
NtRp46532
(dp46533
g13
Nsg14
Nsg15
VFALSE
p46534
sbNNNg8
(g9
g10
NtRp46535
(dp46536
g13
Nsg14
Nsg15
VFALSE
p46537
sbNNg8
(g9
g10
NtRp46538
(dp46539
g13
Nsg14
Nsg15
VFALSE
p46540
sbNNg8
(g9
g10
NtRp46541
(dp46542
g13
Nsg14
Nsg15
VFALSE
p46543
sbNg8
(g9
g10
NtRp46544
(dp46545
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf9d3e68-3f99-4851-8179-3ba3aad493bf.png
p46546
sbg8
(g9
g10
NtRp46547
(dp46548
g13
Nsg14
Nsg15
VEPSG:3035
p46549
sbg8
(g9
g10
NtRp46550
(dp46551
g13
Nsg14
Nsg15
V2019-06-04
p46552
sbNNNg8
(g9
g10
NtRp46553
(dp46554
g13
Nsg14
Nsg15
Vvector
p46555
sbg8
(g9
g10
NtRp46556
(dp46557
g13
Nsg14
Nsg15
VSHP
p46558
sbNg8
(g9
g10
NtRp46559
(dp46560
g13
Nsg14
Nsg15
V1000m
p46561
sbNg8
(g9
g10
NtRp46562
(dp46563
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46564
sbg8
(g9
g10
NtRp46565
(dp46566
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf9d3e68-3f99-4851-8179-3ba3aad493bf
p46567
sbg8
(g9
g10
NtRp46568
(dp46569
g13
Nsg14
g74
sg15
V2011
p46570
sbg8
(g9
g10
NtRp46571
(dp46572
g13
Nsg14
g74
sg15
V2011
p46573
sbg8
(g9
g10
NtRp46574
(dp46575
g13
Nsg14
Nsg15
VFALSE
p46576
sbg8
(g9
g10
NtRp46577
(dp46578
g13
Nsg14
Nsg15
VGeographical grid systems
p46579
sbg8
(g9
g10
NtRp46580
(dp46581
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46582
sbg8
(g9
g10
NtRp46583
(dp46584
g13
Nsg14
Nsg15
VFALSE
p46585
sbg8
(g9
g10
NtRp46586
(dp46587
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46588
sbg8
(g9
g10
NtRp46589
(dp46590
g13
Nsg14
Nsg15
VFALSE
p46591
sbNNNNNNNg8
(g9
g10
NtRp46592
(dp46593
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46594
(dp46595
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46596
(dp46597
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-xk_2011
p46598
sbNg8
(g9
g10
NtRp46599
(dp46600
g13
Nsg14
Nsg15
Vobsolete
p46601
sbtp46602
a(g8
(g9
g10
NtRp46603
(dp46604
g13
Nsg14
Nsg15
V3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3
p46605
sbNg8
(g9
g10
NtRp46606
(dp46607
g13
Nsg14
Nsg15
VEEA reference grid for Estonia (10km), May 2011
p46608
sbNNNNNg8
(g9
g10
NtRp46609
(dp46610
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46611
sbg8
(g23
g10
NtRp46612
(dp46613
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46614
sbNg8
(g9
g10
NtRp46615
(dp46616
g13
Nsg14
Nsg15
VFALSE
p46617
sbNNNg8
(g9
g10
NtRp46618
(dp46619
g13
Nsg14
Nsg15
VFALSE
p46620
sbNNg8
(g9
g10
NtRp46621
(dp46622
g13
Nsg14
Nsg15
VFALSE
p46623
sbNNg8
(g9
g10
NtRp46624
(dp46625
g13
Nsg14
Nsg15
VFALSE
p46626
sbNg8
(g9
g10
NtRp46627
(dp46628
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3.png
p46629
sbg8
(g9
g10
NtRp46630
(dp46631
g13
Nsg14
Nsg15
VEPSG:3035
p46632
sbg8
(g9
g10
NtRp46633
(dp46634
g13
Nsg14
Nsg15
V2019-06-04
p46635
sbNNNg8
(g9
g10
NtRp46636
(dp46637
g13
Nsg14
Nsg15
Vvector
p46638
sbg8
(g9
g10
NtRp46639
(dp46640
g13
Nsg14
Nsg15
VSHP
p46641
sbNg8
(g9
g10
NtRp46642
(dp46643
g13
Nsg14
Nsg15
V10000m
p46644
sbNg8
(g9
g10
NtRp46645
(dp46646
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46647
sbg8
(g9
g10
NtRp46648
(dp46649
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3
p46650
sbg8
(g9
g10
NtRp46651
(dp46652
g13
Nsg14
g74
sg15
V2011
p46653
sbg8
(g9
g10
NtRp46654
(dp46655
g13
Nsg14
g74
sg15
V2011
p46656
sbg8
(g9
g10
NtRp46657
(dp46658
g13
Nsg14
Nsg15
VFALSE
p46659
sbg8
(g9
g10
NtRp46660
(dp46661
g13
Nsg14
Nsg15
VGeographical grid systems
p46662
sbg8
(g9
g10
NtRp46663
(dp46664
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46665
sbg8
(g9
g10
NtRp46666
(dp46667
g13
Nsg14
Nsg15
VFALSE
p46668
sbg8
(g9
g10
NtRp46669
(dp46670
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46671
sbg8
(g9
g10
NtRp46672
(dp46673
g13
Nsg14
Nsg15
VFALSE
p46674
sbNNNNNNNg8
(g9
g10
NtRp46675
(dp46676
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46677
(dp46678
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46679
(dp46680
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ee_2011
p46681
sbNg8
(g9
g10
NtRp46682
(dp46683
g13
Nsg14
Nsg15
Vobsolete
p46684
sbtp46685
a(g8
(g9
g10
NtRp46686
(dp46687
g13
Nsg14
Nsg15
V10ade0f6-5cf8-4bf8-8db8-313081857af3
p46688
sbNg8
(g9
g10
NtRp46689
(dp46690
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (10km), May 2011
p46691
sbNNNNNg8
(g9
g10
NtRp46692
(dp46693
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46694
sbg8
(g23
g10
NtRp46695
(dp46696
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46697
sbNg8
(g9
g10
NtRp46698
(dp46699
g13
Nsg14
Nsg15
VFALSE
p46700
sbNNNg8
(g9
g10
NtRp46701
(dp46702
g13
Nsg14
Nsg15
VFALSE
p46703
sbNNg8
(g9
g10
NtRp46704
(dp46705
g13
Nsg14
Nsg15
VFALSE
p46706
sbNNg8
(g9
g10
NtRp46707
(dp46708
g13
Nsg14
Nsg15
VFALSE
p46709
sbNg8
(g9
g10
NtRp46710
(dp46711
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/10ade0f6-5cf8-4bf8-8db8-313081857af3.png
p46712
sbg8
(g9
g10
NtRp46713
(dp46714
g13
Nsg14
Nsg15
VEPSG:3035
p46715
sbg8
(g9
g10
NtRp46716
(dp46717
g13
Nsg14
Nsg15
V2019-06-04
p46718
sbNNNg8
(g9
g10
NtRp46719
(dp46720
g13
Nsg14
Nsg15
Vvector
p46721
sbg8
(g9
g10
NtRp46722
(dp46723
g13
Nsg14
Nsg15
VSHP
p46724
sbNg8
(g9
g10
NtRp46725
(dp46726
g13
Nsg14
Nsg15
V10000m
p46727
sbNg8
(g9
g10
NtRp46728
(dp46729
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46730
sbg8
(g9
g10
NtRp46731
(dp46732
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10ade0f6-5cf8-4bf8-8db8-313081857af3
p46733
sbg8
(g9
g10
NtRp46734
(dp46735
g13
Nsg14
g74
sg15
V2011
p46736
sbg8
(g9
g10
NtRp46737
(dp46738
g13
Nsg14
g74
sg15
V2011
p46739
sbg8
(g9
g10
NtRp46740
(dp46741
g13
Nsg14
Nsg15
VFALSE
p46742
sbg8
(g9
g10
NtRp46743
(dp46744
g13
Nsg14
Nsg15
VGeographical grid systems
p46745
sbg8
(g9
g10
NtRp46746
(dp46747
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46748
sbg8
(g9
g10
NtRp46749
(dp46750
g13
Nsg14
Nsg15
VFALSE
p46751
sbg8
(g9
g10
NtRp46752
(dp46753
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46754
sbg8
(g9
g10
NtRp46755
(dp46756
g13
Nsg14
Nsg15
VFALSE
p46757
sbNNNNNNNg8
(g9
g10
NtRp46758
(dp46759
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46760
(dp46761
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46762
(dp46763
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-se_2011
p46764
sbNg8
(g9
g10
NtRp46765
(dp46766
g13
Nsg14
Nsg15
Vobsolete
p46767
sbtp46768
a(g8
(g9
g10
NtRp46769
(dp46770
g13
Nsg14
Nsg15
V4049bf5d-134c-4d02-b33a-54d7058cd67b
p46771
sbNg8
(g9
g10
NtRp46772
(dp46773
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (10km), May 2011
p46774
sbNNNNNg8
(g9
g10
NtRp46775
(dp46776
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46777
sbg8
(g23
g10
NtRp46778
(dp46779
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46780
sbNg8
(g9
g10
NtRp46781
(dp46782
g13
Nsg14
Nsg15
VFALSE
p46783
sbNNNg8
(g9
g10
NtRp46784
(dp46785
g13
Nsg14
Nsg15
VFALSE
p46786
sbNNg8
(g9
g10
NtRp46787
(dp46788
g13
Nsg14
Nsg15
VFALSE
p46789
sbNNg8
(g9
g10
NtRp46790
(dp46791
g13
Nsg14
Nsg15
VFALSE
p46792
sbNg8
(g9
g10
NtRp46793
(dp46794
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4049bf5d-134c-4d02-b33a-54d7058cd67b.png
p46795
sbg8
(g9
g10
NtRp46796
(dp46797
g13
Nsg14
Nsg15
VEPSG:3035
p46798
sbg8
(g9
g10
NtRp46799
(dp46800
g13
Nsg14
Nsg15
V2019-06-04
p46801
sbNNNg8
(g9
g10
NtRp46802
(dp46803
g13
Nsg14
Nsg15
Vvector
p46804
sbg8
(g9
g10
NtRp46805
(dp46806
g13
Nsg14
Nsg15
VSHP
p46807
sbNg8
(g9
g10
NtRp46808
(dp46809
g13
Nsg14
Nsg15
V10000m
p46810
sbNg8
(g9
g10
NtRp46811
(dp46812
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46813
sbg8
(g9
g10
NtRp46814
(dp46815
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4049bf5d-134c-4d02-b33a-54d7058cd67b
p46816
sbg8
(g9
g10
NtRp46817
(dp46818
g13
Nsg14
g74
sg15
V2011
p46819
sbg8
(g9
g10
NtRp46820
(dp46821
g13
Nsg14
g74
sg15
V2011
p46822
sbg8
(g9
g10
NtRp46823
(dp46824
g13
Nsg14
Nsg15
VFALSE
p46825
sbg8
(g9
g10
NtRp46826
(dp46827
g13
Nsg14
Nsg15
VGeographical grid systems
p46828
sbg8
(g9
g10
NtRp46829
(dp46830
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46831
sbg8
(g9
g10
NtRp46832
(dp46833
g13
Nsg14
Nsg15
VFALSE
p46834
sbg8
(g9
g10
NtRp46835
(dp46836
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46837
sbg8
(g9
g10
NtRp46838
(dp46839
g13
Nsg14
Nsg15
VFALSE
p46840
sbNNNNNNNg8
(g9
g10
NtRp46841
(dp46842
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46843
(dp46844
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46845
(dp46846
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-dk_2011
p46847
sbNg8
(g9
g10
NtRp46848
(dp46849
g13
Nsg14
Nsg15
Vobsolete
p46850
sbtp46851
a(g8
(g9
g10
NtRp46852
(dp46853
g13
Nsg14
Nsg15
Va1be022f-c4be-4a0f-bbc0-f83811a2798d
p46854
sbNg8
(g9
g10
NtRp46855
(dp46856
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (100km), May 2011
p46857
sbNNNNNg8
(g9
g10
NtRp46858
(dp46859
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46860
sbg8
(g23
g10
NtRp46861
(dp46862
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46863
sbNg8
(g9
g10
NtRp46864
(dp46865
g13
Nsg14
Nsg15
VFALSE
p46866
sbNNNg8
(g9
g10
NtRp46867
(dp46868
g13
Nsg14
Nsg15
VFALSE
p46869
sbNNg8
(g9
g10
NtRp46870
(dp46871
g13
Nsg14
Nsg15
VFALSE
p46872
sbNNg8
(g9
g10
NtRp46873
(dp46874
g13
Nsg14
Nsg15
VFALSE
p46875
sbNg8
(g9
g10
NtRp46876
(dp46877
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1be022f-c4be-4a0f-bbc0-f83811a2798d.png
p46878
sbg8
(g9
g10
NtRp46879
(dp46880
g13
Nsg14
Nsg15
VEPSG:3035
p46881
sbg8
(g9
g10
NtRp46882
(dp46883
g13
Nsg14
Nsg15
V2019-06-04
p46884
sbNNNg8
(g9
g10
NtRp46885
(dp46886
g13
Nsg14
Nsg15
Vvector
p46887
sbg8
(g9
g10
NtRp46888
(dp46889
g13
Nsg14
Nsg15
VSHP
p46890
sbNg8
(g9
g10
NtRp46891
(dp46892
g13
Nsg14
Nsg15
V100000m
p46893
sbNg8
(g9
g10
NtRp46894
(dp46895
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46896
sbg8
(g9
g10
NtRp46897
(dp46898
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1be022f-c4be-4a0f-bbc0-f83811a2798d
p46899
sbg8
(g9
g10
NtRp46900
(dp46901
g13
Nsg14
g74
sg15
V2011
p46902
sbg8
(g9
g10
NtRp46903
(dp46904
g13
Nsg14
g74
sg15
V2011
p46905
sbg8
(g9
g10
NtRp46906
(dp46907
g13
Nsg14
Nsg15
VFALSE
p46908
sbg8
(g9
g10
NtRp46909
(dp46910
g13
Nsg14
Nsg15
VGeographical grid systems
p46911
sbg8
(g9
g10
NtRp46912
(dp46913
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46914
sbg8
(g9
g10
NtRp46915
(dp46916
g13
Nsg14
Nsg15
VFALSE
p46917
sbg8
(g9
g10
NtRp46918
(dp46919
g13
Nsg14
Nsg15
VEuropean Environment Agency
p46920
sbg8
(g9
g10
NtRp46921
(dp46922
g13
Nsg14
Nsg15
VFALSE
p46923
sbNNNNNNNg8
(g9
g10
NtRp46924
(dp46925
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp46926
(dp46927
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp46928
(dp46929
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lt_2011
p46930
sbNg8
(g9
g10
NtRp46931
(dp46932
g13
Nsg14
Nsg15
Vobsolete
p46933
sbtp46934
a(g8
(g9
g10
NtRp46935
(dp46936
g13
Nsg14
Nsg15
V4c0a1d44-95e7-4bb0-858b-c478d403c9d8
p46937
sbNg8
(g9
g10
NtRp46938
(dp46939
g13
Nsg14
Nsg15
VEEA reference grid for Ireland (1km), May 2011
p46940
sbNNNNNg8
(g9
g10
NtRp46941
(dp46942
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p46943
sbg8
(g23
g10
NtRp46944
(dp46945
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p46946
sbNg8
(g9
g10
NtRp46947
(dp46948
g13
Nsg14
Nsg15
VFALSE
p46949
sbNNNg8
(g9
g10
NtRp46950
(dp46951
g13
Nsg14
Nsg15
VFALSE
p46952
sbNNg8
(g9
g10
NtRp46953
(dp46954
g13
Nsg14
Nsg15
VFALSE
p46955
sbNNg8
(g9
g10
NtRp46956
(dp46957
g13
Nsg14
Nsg15
VFALSE
p46958
sbNg8
(g9
g10
NtRp46959
(dp46960
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c0a1d44-95e7-4bb0-858b-c478d403c9d8.png
p46961
sbg8
(g9
g10
NtRp46962
(dp46963
g13
Nsg14
Nsg15
VEPSG:3035
p46964
sbg8
(g9
g10
NtRp46965
(dp46966
g13
Nsg14
Nsg15
V2019-06-04
p46967
sbNNNg8
(g9
g10
NtRp46968
(dp46969
g13
Nsg14
Nsg15
Vvector
p46970
sbg8
(g9
g10
NtRp46971
(dp46972
g13
Nsg14
Nsg15
VSHP
p46973
sbNg8
(g9
g10
NtRp46974
(dp46975
g13
Nsg14
Nsg15
V1000m
p46976
sbNg8
(g9
g10
NtRp46977
(dp46978
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p46979
sbg8
(g9
g10
NtRp46980
(dp46981
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c0a1d44-95e7-4bb0-858b-c478d403c9d8
p46982
sbg8
(g9
g10
NtRp46983
(dp46984
g13
Nsg14
g74
sg15
V2011
p46985
sbg8
(g9
g10
NtRp46986
(dp46987
g13
Nsg14
g74
sg15
V2011
p46988
sbg8
(g9
g10
NtRp46989
(dp46990
g13
Nsg14
Nsg15
VFALSE
p46991
sbg8
(g9
g10
NtRp46992
(dp46993
g13
Nsg14
Nsg15
VGeographical grid systems
p46994
sbg8
(g9
g10
NtRp46995
(dp46996
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p46997
sbg8
(g9
g10
NtRp46998
(dp46999
g13
Nsg14
Nsg15
VFALSE
p47000
sbg8
(g9
g10
NtRp47001
(dp47002
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47003
sbg8
(g9
g10
NtRp47004
(dp47005
g13
Nsg14
Nsg15
VFALSE
p47006
sbNNNNNNNg8
(g9
g10
NtRp47007
(dp47008
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47009
(dp47010
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47011
(dp47012
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ie_2011
p47013
sbNg8
(g9
g10
NtRp47014
(dp47015
g13
Nsg14
Nsg15
Vobsolete
p47016
sbtp47017
a(g8
(g9
g10
NtRp47018
(dp47019
g13
Nsg14
Nsg15
V92d559f7-abfc-4bc6-86dd-cc56a4467fb0
p47020
sbNg8
(g9
g10
NtRp47021
(dp47022
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (100km), May 2011
p47023
sbNNNNNg8
(g9
g10
NtRp47024
(dp47025
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47026
sbg8
(g23
g10
NtRp47027
(dp47028
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47029
sbNg8
(g9
g10
NtRp47030
(dp47031
g13
Nsg14
Nsg15
VFALSE
p47032
sbNNNg8
(g9
g10
NtRp47033
(dp47034
g13
Nsg14
Nsg15
VFALSE
p47035
sbNNg8
(g9
g10
NtRp47036
(dp47037
g13
Nsg14
Nsg15
VFALSE
p47038
sbNNg8
(g9
g10
NtRp47039
(dp47040
g13
Nsg14
Nsg15
VFALSE
p47041
sbNg8
(g9
g10
NtRp47042
(dp47043
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/92d559f7-abfc-4bc6-86dd-cc56a4467fb0.png
p47044
sbg8
(g9
g10
NtRp47045
(dp47046
g13
Nsg14
Nsg15
VEPSG:3035
p47047
sbg8
(g9
g10
NtRp47048
(dp47049
g13
Nsg14
Nsg15
V2019-06-04
p47050
sbNNNg8
(g9
g10
NtRp47051
(dp47052
g13
Nsg14
Nsg15
Vvector
p47053
sbg8
(g9
g10
NtRp47054
(dp47055
g13
Nsg14
Nsg15
VSHP
p47056
sbNg8
(g9
g10
NtRp47057
(dp47058
g13
Nsg14
Nsg15
V100000m
p47059
sbNg8
(g9
g10
NtRp47060
(dp47061
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47062
sbg8
(g9
g10
NtRp47063
(dp47064
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92d559f7-abfc-4bc6-86dd-cc56a4467fb0
p47065
sbg8
(g9
g10
NtRp47066
(dp47067
g13
Nsg14
g74
sg15
V2011
p47068
sbg8
(g9
g10
NtRp47069
(dp47070
g13
Nsg14
g74
sg15
V2011
p47071
sbg8
(g9
g10
NtRp47072
(dp47073
g13
Nsg14
Nsg15
VFALSE
p47074
sbg8
(g9
g10
NtRp47075
(dp47076
g13
Nsg14
Nsg15
VGeographical grid systems
p47077
sbg8
(g9
g10
NtRp47078
(dp47079
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47080
sbg8
(g9
g10
NtRp47081
(dp47082
g13
Nsg14
Nsg15
VFALSE
p47083
sbg8
(g9
g10
NtRp47084
(dp47085
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47086
sbg8
(g9
g10
NtRp47087
(dp47088
g13
Nsg14
Nsg15
VFALSE
p47089
sbNNNNNNNg8
(g9
g10
NtRp47090
(dp47091
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47092
(dp47093
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47094
(dp47095
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-si_2011
p47096
sbNg8
(g9
g10
NtRp47097
(dp47098
g13
Nsg14
Nsg15
Vobsolete
p47099
sbtp47100
a(g8
(g9
g10
NtRp47101
(dp47102
g13
Nsg14
Nsg15
V63584a1f-9a9a-49e1-bba3-8b4fbd29e446
p47103
sbNg8
(g9
g10
NtRp47104
(dp47105
g13
Nsg14
Nsg15
VEEA reference grid for Greece (100km), May 2011
p47106
sbNNNNNg8
(g9
g10
NtRp47107
(dp47108
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47109
sbg8
(g23
g10
NtRp47110
(dp47111
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47112
sbNg8
(g9
g10
NtRp47113
(dp47114
g13
Nsg14
Nsg15
VFALSE
p47115
sbNNNg8
(g9
g10
NtRp47116
(dp47117
g13
Nsg14
Nsg15
VFALSE
p47118
sbNNg8
(g9
g10
NtRp47119
(dp47120
g13
Nsg14
Nsg15
VFALSE
p47121
sbNNg8
(g9
g10
NtRp47122
(dp47123
g13
Nsg14
Nsg15
VFALSE
p47124
sbNg8
(g9
g10
NtRp47125
(dp47126
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/63584a1f-9a9a-49e1-bba3-8b4fbd29e446.png
p47127
sbg8
(g9
g10
NtRp47128
(dp47129
g13
Nsg14
Nsg15
VEPSG:3035
p47130
sbg8
(g9
g10
NtRp47131
(dp47132
g13
Nsg14
Nsg15
V2019-06-04
p47133
sbNNNg8
(g9
g10
NtRp47134
(dp47135
g13
Nsg14
Nsg15
Vvector
p47136
sbg8
(g9
g10
NtRp47137
(dp47138
g13
Nsg14
Nsg15
VSHP
p47139
sbNg8
(g9
g10
NtRp47140
(dp47141
g13
Nsg14
Nsg15
V100000m
p47142
sbNg8
(g9
g10
NtRp47143
(dp47144
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47145
sbg8
(g9
g10
NtRp47146
(dp47147
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63584a1f-9a9a-49e1-bba3-8b4fbd29e446
p47148
sbg8
(g9
g10
NtRp47149
(dp47150
g13
Nsg14
g74
sg15
V2011
p47151
sbg8
(g9
g10
NtRp47152
(dp47153
g13
Nsg14
g74
sg15
V2011
p47154
sbg8
(g9
g10
NtRp47155
(dp47156
g13
Nsg14
Nsg15
VFALSE
p47157
sbg8
(g9
g10
NtRp47158
(dp47159
g13
Nsg14
Nsg15
VGeographical grid systems
p47160
sbg8
(g9
g10
NtRp47161
(dp47162
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47163
sbg8
(g9
g10
NtRp47164
(dp47165
g13
Nsg14
Nsg15
VFALSE
p47166
sbg8
(g9
g10
NtRp47167
(dp47168
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47169
sbg8
(g9
g10
NtRp47170
(dp47171
g13
Nsg14
Nsg15
VFALSE
p47172
sbNNNNNNNg8
(g9
g10
NtRp47173
(dp47174
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47175
(dp47176
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47177
(dp47178
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gr_2011
p47179
sbNg8
(g9
g10
NtRp47180
(dp47181
g13
Nsg14
Nsg15
Vobsolete
p47182
sbtp47183
a(g8
(g9
g10
NtRp47184
(dp47185
g13
Nsg14
Nsg15
V43531f2a-d0cb-49ec-8bc0-567241591b4b
p47186
sbNg8
(g9
g10
NtRp47187
(dp47188
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (100km), May 2011
p47189
sbNNNNNg8
(g9
g10
NtRp47190
(dp47191
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47192
sbg8
(g23
g10
NtRp47193
(dp47194
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47195
sbNg8
(g9
g10
NtRp47196
(dp47197
g13
Nsg14
Nsg15
VFALSE
p47198
sbNNNg8
(g9
g10
NtRp47199
(dp47200
g13
Nsg14
Nsg15
VFALSE
p47201
sbNNg8
(g9
g10
NtRp47202
(dp47203
g13
Nsg14
Nsg15
VFALSE
p47204
sbNNg8
(g9
g10
NtRp47205
(dp47206
g13
Nsg14
Nsg15
VFALSE
p47207
sbNg8
(g9
g10
NtRp47208
(dp47209
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/43531f2a-d0cb-49ec-8bc0-567241591b4b.png
p47210
sbg8
(g9
g10
NtRp47211
(dp47212
g13
Nsg14
Nsg15
VEPSG:3035
p47213
sbg8
(g9
g10
NtRp47214
(dp47215
g13
Nsg14
Nsg15
V2019-06-04
p47216
sbNNNg8
(g9
g10
NtRp47217
(dp47218
g13
Nsg14
Nsg15
Vvector
p47219
sbg8
(g9
g10
NtRp47220
(dp47221
g13
Nsg14
Nsg15
VSHP
p47222
sbNg8
(g9
g10
NtRp47223
(dp47224
g13
Nsg14
Nsg15
V100000m
p47225
sbNg8
(g9
g10
NtRp47226
(dp47227
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47228
sbg8
(g9
g10
NtRp47229
(dp47230
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43531f2a-d0cb-49ec-8bc0-567241591b4b
p47231
sbg8
(g9
g10
NtRp47232
(dp47233
g13
Nsg14
g74
sg15
V2011
p47234
sbg8
(g9
g10
NtRp47235
(dp47236
g13
Nsg14
g74
sg15
V2011
p47237
sbg8
(g9
g10
NtRp47238
(dp47239
g13
Nsg14
Nsg15
VFALSE
p47240
sbg8
(g9
g10
NtRp47241
(dp47242
g13
Nsg14
Nsg15
VGeographical grid systems
p47243
sbg8
(g9
g10
NtRp47244
(dp47245
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47246
sbg8
(g9
g10
NtRp47247
(dp47248
g13
Nsg14
Nsg15
VFALSE
p47249
sbg8
(g9
g10
NtRp47250
(dp47251
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47252
sbg8
(g9
g10
NtRp47253
(dp47254
g13
Nsg14
Nsg15
VFALSE
p47255
sbNNNNNNNg8
(g9
g10
NtRp47256
(dp47257
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47258
(dp47259
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47260
(dp47261
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lu_2011
p47262
sbNg8
(g9
g10
NtRp47263
(dp47264
g13
Nsg14
Nsg15
Vobsolete
p47265
sbtp47266
a(g8
(g9
g10
NtRp47267
(dp47268
g13
Nsg14
Nsg15
V5497b114-8b64-481d-9d7b-852fbc6912d1
p47269
sbNg8
(g9
g10
NtRp47270
(dp47271
g13
Nsg14
Nsg15
VEEA reference grid for Germany (1km), May 2011
p47272
sbNNNNNg8
(g9
g10
NtRp47273
(dp47274
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47275
sbg8
(g23
g10
NtRp47276
(dp47277
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47278
sbNg8
(g9
g10
NtRp47279
(dp47280
g13
Nsg14
Nsg15
VFALSE
p47281
sbNNNg8
(g9
g10
NtRp47282
(dp47283
g13
Nsg14
Nsg15
VFALSE
p47284
sbNNg8
(g9
g10
NtRp47285
(dp47286
g13
Nsg14
Nsg15
VFALSE
p47287
sbNNg8
(g9
g10
NtRp47288
(dp47289
g13
Nsg14
Nsg15
VFALSE
p47290
sbNg8
(g9
g10
NtRp47291
(dp47292
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5497b114-8b64-481d-9d7b-852fbc6912d1.png
p47293
sbg8
(g9
g10
NtRp47294
(dp47295
g13
Nsg14
Nsg15
VEPSG:3035
p47296
sbg8
(g9
g10
NtRp47297
(dp47298
g13
Nsg14
Nsg15
V2019-06-04
p47299
sbNNNg8
(g9
g10
NtRp47300
(dp47301
g13
Nsg14
Nsg15
Vvector
p47302
sbg8
(g9
g10
NtRp47303
(dp47304
g13
Nsg14
Nsg15
VSHP
p47305
sbNg8
(g9
g10
NtRp47306
(dp47307
g13
Nsg14
Nsg15
V1000m
p47308
sbNg8
(g9
g10
NtRp47309
(dp47310
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47311
sbg8
(g9
g10
NtRp47312
(dp47313
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5497b114-8b64-481d-9d7b-852fbc6912d1
p47314
sbg8
(g9
g10
NtRp47315
(dp47316
g13
Nsg14
g74
sg15
V2011
p47317
sbg8
(g9
g10
NtRp47318
(dp47319
g13
Nsg14
g74
sg15
V2011
p47320
sbg8
(g9
g10
NtRp47321
(dp47322
g13
Nsg14
Nsg15
VFALSE
p47323
sbg8
(g9
g10
NtRp47324
(dp47325
g13
Nsg14
Nsg15
VGeographical grid systems
p47326
sbg8
(g9
g10
NtRp47327
(dp47328
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47329
sbg8
(g9
g10
NtRp47330
(dp47331
g13
Nsg14
Nsg15
VFALSE
p47332
sbg8
(g9
g10
NtRp47333
(dp47334
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47335
sbg8
(g9
g10
NtRp47336
(dp47337
g13
Nsg14
Nsg15
VFALSE
p47338
sbNNNNNNNg8
(g9
g10
NtRp47339
(dp47340
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47341
(dp47342
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47343
(dp47344
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-de_2011
p47345
sbNg8
(g9
g10
NtRp47346
(dp47347
g13
Nsg14
Nsg15
Vobsolete
p47348
sbtp47349
a(g8
(g9
g10
NtRp47350
(dp47351
g13
Nsg14
Nsg15
V6c5c0398-1dbb-4c8a-be02-d2562d590e60
p47352
sbNg8
(g9
g10
NtRp47353
(dp47354
g13
Nsg14
Nsg15
VEEA reference grid for Spain (100km), May 2011
p47355
sbNNNNNg8
(g9
g10
NtRp47356
(dp47357
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47358
sbg8
(g23
g10
NtRp47359
(dp47360
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47361
sbNg8
(g9
g10
NtRp47362
(dp47363
g13
Nsg14
Nsg15
VFALSE
p47364
sbNNNg8
(g9
g10
NtRp47365
(dp47366
g13
Nsg14
Nsg15
VFALSE
p47367
sbNNg8
(g9
g10
NtRp47368
(dp47369
g13
Nsg14
Nsg15
VFALSE
p47370
sbNNg8
(g9
g10
NtRp47371
(dp47372
g13
Nsg14
Nsg15
VFALSE
p47373
sbNg8
(g9
g10
NtRp47374
(dp47375
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c5c0398-1dbb-4c8a-be02-d2562d590e60.png
p47376
sbg8
(g9
g10
NtRp47377
(dp47378
g13
Nsg14
Nsg15
VEPSG:3035
p47379
sbg8
(g9
g10
NtRp47380
(dp47381
g13
Nsg14
Nsg15
V2019-06-04
p47382
sbNNNg8
(g9
g10
NtRp47383
(dp47384
g13
Nsg14
Nsg15
Vvector
p47385
sbg8
(g9
g10
NtRp47386
(dp47387
g13
Nsg14
Nsg15
VSHP
p47388
sbNg8
(g9
g10
NtRp47389
(dp47390
g13
Nsg14
Nsg15
V100000m
p47391
sbNg8
(g9
g10
NtRp47392
(dp47393
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47394
sbg8
(g9
g10
NtRp47395
(dp47396
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c5c0398-1dbb-4c8a-be02-d2562d590e60
p47397
sbg8
(g9
g10
NtRp47398
(dp47399
g13
Nsg14
g74
sg15
V2011
p47400
sbg8
(g9
g10
NtRp47401
(dp47402
g13
Nsg14
g74
sg15
V2011
p47403
sbg8
(g9
g10
NtRp47404
(dp47405
g13
Nsg14
Nsg15
VFALSE
p47406
sbg8
(g9
g10
NtRp47407
(dp47408
g13
Nsg14
Nsg15
VGeographical grid systems
p47409
sbg8
(g9
g10
NtRp47410
(dp47411
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47412
sbg8
(g9
g10
NtRp47413
(dp47414
g13
Nsg14
Nsg15
VFALSE
p47415
sbg8
(g9
g10
NtRp47416
(dp47417
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47418
sbg8
(g9
g10
NtRp47419
(dp47420
g13
Nsg14
Nsg15
VFALSE
p47421
sbNNNNNNNg8
(g9
g10
NtRp47422
(dp47423
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47424
(dp47425
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47426
(dp47427
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-es_2011
p47428
sbNg8
(g9
g10
NtRp47429
(dp47430
g13
Nsg14
Nsg15
Vobsolete
p47431
sbtp47432
a(g8
(g9
g10
NtRp47433
(dp47434
g13
Nsg14
Nsg15
V644006e6-c6e0-4b5d-af44-f98d6c546c1b
p47435
sbNg8
(g9
g10
NtRp47436
(dp47437
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (10km), May 2011
p47438
sbNNNNNg8
(g9
g10
NtRp47439
(dp47440
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47441
sbg8
(g23
g10
NtRp47442
(dp47443
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47444
sbNg8
(g9
g10
NtRp47445
(dp47446
g13
Nsg14
Nsg15
VFALSE
p47447
sbNNNg8
(g9
g10
NtRp47448
(dp47449
g13
Nsg14
Nsg15
VFALSE
p47450
sbNNg8
(g9
g10
NtRp47451
(dp47452
g13
Nsg14
Nsg15
VFALSE
p47453
sbNNg8
(g9
g10
NtRp47454
(dp47455
g13
Nsg14
Nsg15
VFALSE
p47456
sbNg8
(g9
g10
NtRp47457
(dp47458
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/644006e6-c6e0-4b5d-af44-f98d6c546c1b.png
p47459
sbg8
(g9
g10
NtRp47460
(dp47461
g13
Nsg14
Nsg15
VEPSG:3035
p47462
sbg8
(g9
g10
NtRp47463
(dp47464
g13
Nsg14
Nsg15
V2019-06-04
p47465
sbNNNg8
(g9
g10
NtRp47466
(dp47467
g13
Nsg14
Nsg15
Vvector
p47468
sbg8
(g9
g10
NtRp47469
(dp47470
g13
Nsg14
Nsg15
VSHP
p47471
sbNg8
(g9
g10
NtRp47472
(dp47473
g13
Nsg14
Nsg15
V10000m
p47474
sbNg8
(g9
g10
NtRp47475
(dp47476
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47477
sbg8
(g9
g10
NtRp47478
(dp47479
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/644006e6-c6e0-4b5d-af44-f98d6c546c1b
p47480
sbg8
(g9
g10
NtRp47481
(dp47482
g13
Nsg14
g74
sg15
V2011
p47483
sbg8
(g9
g10
NtRp47484
(dp47485
g13
Nsg14
g74
sg15
V2011
p47486
sbg8
(g9
g10
NtRp47487
(dp47488
g13
Nsg14
Nsg15
VFALSE
p47489
sbg8
(g9
g10
NtRp47490
(dp47491
g13
Nsg14
Nsg15
VGeographical grid systems
p47492
sbg8
(g9
g10
NtRp47493
(dp47494
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47495
sbg8
(g9
g10
NtRp47496
(dp47497
g13
Nsg14
Nsg15
VFALSE
p47498
sbg8
(g9
g10
NtRp47499
(dp47500
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47501
sbg8
(g9
g10
NtRp47502
(dp47503
g13
Nsg14
Nsg15
VFALSE
p47504
sbNNNNNNNg8
(g9
g10
NtRp47505
(dp47506
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47507
(dp47508
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47509
(dp47510
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lt_2011
p47511
sbNg8
(g9
g10
NtRp47512
(dp47513
g13
Nsg14
Nsg15
Vobsolete
p47514
sbtp47515
a(g8
(g9
g10
NtRp47516
(dp47517
g13
Nsg14
Nsg15
Vb1d025b8-df6b-4085-b0ac-0273edd92c57
p47518
sbNg8
(g9
g10
NtRp47519
(dp47520
g13
Nsg14
Nsg15
VEEA reference grid for Canary Islands (100km), May 2011
p47521
sbNNNNNg8
(g9
g10
NtRp47522
(dp47523
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47524
sbg8
(g23
g10
NtRp47525
(dp47526
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47527
sbNg8
(g9
g10
NtRp47528
(dp47529
g13
Nsg14
Nsg15
VFALSE
p47530
sbNNNg8
(g9
g10
NtRp47531
(dp47532
g13
Nsg14
Nsg15
VFALSE
p47533
sbNNg8
(g9
g10
NtRp47534
(dp47535
g13
Nsg14
Nsg15
VFALSE
p47536
sbNNg8
(g9
g10
NtRp47537
(dp47538
g13
Nsg14
Nsg15
VFALSE
p47539
sbNg8
(g9
g10
NtRp47540
(dp47541
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1d025b8-df6b-4085-b0ac-0273edd92c57.png
p47542
sbg8
(g9
g10
NtRp47543
(dp47544
g13
Nsg14
Nsg15
VEPSG:3035
p47545
sbg8
(g9
g10
NtRp47546
(dp47547
g13
Nsg14
Nsg15
V2019-06-04
p47548
sbNNNg8
(g9
g10
NtRp47549
(dp47550
g13
Nsg14
Nsg15
Vvector
p47551
sbg8
(g9
g10
NtRp47552
(dp47553
g13
Nsg14
Nsg15
VSHP
p47554
sbNg8
(g9
g10
NtRp47555
(dp47556
g13
Nsg14
Nsg15
V100000m
p47557
sbNg8
(g9
g10
NtRp47558
(dp47559
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47560
sbg8
(g9
g10
NtRp47561
(dp47562
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1d025b8-df6b-4085-b0ac-0273edd92c57
p47563
sbg8
(g9
g10
NtRp47564
(dp47565
g13
Nsg14
g74
sg15
V2011
p47566
sbg8
(g9
g10
NtRp47567
(dp47568
g13
Nsg14
g74
sg15
V2011
p47569
sbg8
(g9
g10
NtRp47570
(dp47571
g13
Nsg14
Nsg15
VFALSE
p47572
sbg8
(g9
g10
NtRp47573
(dp47574
g13
Nsg14
Nsg15
VGeographical grid systems
p47575
sbg8
(g9
g10
NtRp47576
(dp47577
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47578
sbg8
(g9
g10
NtRp47579
(dp47580
g13
Nsg14
Nsg15
VFALSE
p47581
sbg8
(g9
g10
NtRp47582
(dp47583
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47584
sbg8
(g9
g10
NtRp47585
(dp47586
g13
Nsg14
Nsg15
VFALSE
p47587
sbNNNNNNNg8
(g9
g10
NtRp47588
(dp47589
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47590
(dp47591
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47592
(dp47593
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ic_2011
p47594
sbNg8
(g9
g10
NtRp47595
(dp47596
g13
Nsg14
Nsg15
Vobsolete
p47597
sbtp47598
a(g8
(g9
g10
NtRp47599
(dp47600
g13
Nsg14
Nsg15
Vce549840-cccb-447f-82be-0ca83983a564
p47601
sbNg8
(g9
g10
NtRp47602
(dp47603
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (1km), May 2011
p47604
sbNNNNNg8
(g9
g10
NtRp47605
(dp47606
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47607
sbg8
(g23
g10
NtRp47608
(dp47609
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47610
sbNg8
(g9
g10
NtRp47611
(dp47612
g13
Nsg14
Nsg15
VFALSE
p47613
sbNNNg8
(g9
g10
NtRp47614
(dp47615
g13
Nsg14
Nsg15
VFALSE
p47616
sbNNg8
(g9
g10
NtRp47617
(dp47618
g13
Nsg14
Nsg15
VFALSE
p47619
sbNNg8
(g9
g10
NtRp47620
(dp47621
g13
Nsg14
Nsg15
VFALSE
p47622
sbNg8
(g9
g10
NtRp47623
(dp47624
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce549840-cccb-447f-82be-0ca83983a564.png
p47625
sbg8
(g9
g10
NtRp47626
(dp47627
g13
Nsg14
Nsg15
VEPSG:3035
p47628
sbg8
(g9
g10
NtRp47629
(dp47630
g13
Nsg14
Nsg15
V2019-06-04
p47631
sbNNNg8
(g9
g10
NtRp47632
(dp47633
g13
Nsg14
Nsg15
Vvector
p47634
sbg8
(g9
g10
NtRp47635
(dp47636
g13
Nsg14
Nsg15
VSHP
p47637
sbNg8
(g9
g10
NtRp47638
(dp47639
g13
Nsg14
Nsg15
V1000m
p47640
sbNg8
(g9
g10
NtRp47641
(dp47642
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47643
sbg8
(g9
g10
NtRp47644
(dp47645
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce549840-cccb-447f-82be-0ca83983a564
p47646
sbg8
(g9
g10
NtRp47647
(dp47648
g13
Nsg14
g74
sg15
V2011
p47649
sbg8
(g9
g10
NtRp47650
(dp47651
g13
Nsg14
g74
sg15
V2011
p47652
sbg8
(g9
g10
NtRp47653
(dp47654
g13
Nsg14
Nsg15
VFALSE
p47655
sbg8
(g9
g10
NtRp47656
(dp47657
g13
Nsg14
Nsg15
VGeographical grid systems
p47658
sbg8
(g9
g10
NtRp47659
(dp47660
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47661
sbg8
(g9
g10
NtRp47662
(dp47663
g13
Nsg14
Nsg15
VFALSE
p47664
sbg8
(g9
g10
NtRp47665
(dp47666
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47667
sbg8
(g9
g10
NtRp47668
(dp47669
g13
Nsg14
Nsg15
VFALSE
p47670
sbNNNNNNNg8
(g9
g10
NtRp47671
(dp47672
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47673
(dp47674
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47675
(dp47676
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-li_2011
p47677
sbNg8
(g9
g10
NtRp47678
(dp47679
g13
Nsg14
Nsg15
Vobsolete
p47680
sbtp47681
a(g8
(g9
g10
NtRp47682
(dp47683
g13
Nsg14
Nsg15
Vde1b4ed1-799c-4373-a974-233a9c8150e3
p47684
sbNg8
(g9
g10
NtRp47685
(dp47686
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (10km), May 2011
p47687
sbNNNNNg8
(g9
g10
NtRp47688
(dp47689
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47690
sbg8
(g23
g10
NtRp47691
(dp47692
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47693
sbNg8
(g9
g10
NtRp47694
(dp47695
g13
Nsg14
Nsg15
VFALSE
p47696
sbNNNg8
(g9
g10
NtRp47697
(dp47698
g13
Nsg14
Nsg15
VFALSE
p47699
sbNNg8
(g9
g10
NtRp47700
(dp47701
g13
Nsg14
Nsg15
VFALSE
p47702
sbNNg8
(g9
g10
NtRp47703
(dp47704
g13
Nsg14
Nsg15
VFALSE
p47705
sbNg8
(g9
g10
NtRp47706
(dp47707
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/de1b4ed1-799c-4373-a974-233a9c8150e3.png
p47708
sbg8
(g9
g10
NtRp47709
(dp47710
g13
Nsg14
Nsg15
VEPSG:3035
p47711
sbg8
(g9
g10
NtRp47712
(dp47713
g13
Nsg14
Nsg15
V2019-06-04
p47714
sbNNNg8
(g9
g10
NtRp47715
(dp47716
g13
Nsg14
Nsg15
Vvector
p47717
sbg8
(g9
g10
NtRp47718
(dp47719
g13
Nsg14
Nsg15
VSHP
p47720
sbNg8
(g9
g10
NtRp47721
(dp47722
g13
Nsg14
Nsg15
V10000m
p47723
sbNg8
(g9
g10
NtRp47724
(dp47725
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47726
sbg8
(g9
g10
NtRp47727
(dp47728
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/de1b4ed1-799c-4373-a974-233a9c8150e3
p47729
sbg8
(g9
g10
NtRp47730
(dp47731
g13
Nsg14
g74
sg15
V2011
p47732
sbg8
(g9
g10
NtRp47733
(dp47734
g13
Nsg14
g74
sg15
V2011
p47735
sbg8
(g9
g10
NtRp47736
(dp47737
g13
Nsg14
Nsg15
VFALSE
p47738
sbg8
(g9
g10
NtRp47739
(dp47740
g13
Nsg14
Nsg15
VGeographical grid systems
p47741
sbg8
(g9
g10
NtRp47742
(dp47743
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47744
sbg8
(g9
g10
NtRp47745
(dp47746
g13
Nsg14
Nsg15
VFALSE
p47747
sbg8
(g9
g10
NtRp47748
(dp47749
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47750
sbg8
(g9
g10
NtRp47751
(dp47752
g13
Nsg14
Nsg15
VFALSE
p47753
sbNNNNNNNg8
(g9
g10
NtRp47754
(dp47755
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47756
(dp47757
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47758
(dp47759
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-si_2011
p47760
sbNg8
(g9
g10
NtRp47761
(dp47762
g13
Nsg14
Nsg15
Vobsolete
p47763
sbtp47764
a(g8
(g9
g10
NtRp47765
(dp47766
g13
Nsg14
Nsg15
Vd44003b4-4807-49d7-91bc-284aea893ee9
p47767
sbNg8
(g9
g10
NtRp47768
(dp47769
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (10km), May 2011
p47770
sbNNNNNg8
(g9
g10
NtRp47771
(dp47772
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47773
sbg8
(g23
g10
NtRp47774
(dp47775
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47776
sbNg8
(g9
g10
NtRp47777
(dp47778
g13
Nsg14
Nsg15
VFALSE
p47779
sbNNNg8
(g9
g10
NtRp47780
(dp47781
g13
Nsg14
Nsg15
VFALSE
p47782
sbNNg8
(g9
g10
NtRp47783
(dp47784
g13
Nsg14
Nsg15
VFALSE
p47785
sbNNg8
(g9
g10
NtRp47786
(dp47787
g13
Nsg14
Nsg15
VFALSE
p47788
sbNg8
(g9
g10
NtRp47789
(dp47790
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d44003b4-4807-49d7-91bc-284aea893ee9.png
p47791
sbg8
(g9
g10
NtRp47792
(dp47793
g13
Nsg14
Nsg15
VEPSG:3035
p47794
sbg8
(g9
g10
NtRp47795
(dp47796
g13
Nsg14
Nsg15
V2019-06-04
p47797
sbNNNg8
(g9
g10
NtRp47798
(dp47799
g13
Nsg14
Nsg15
Vvector
p47800
sbg8
(g9
g10
NtRp47801
(dp47802
g13
Nsg14
Nsg15
VSHP
p47803
sbNg8
(g9
g10
NtRp47804
(dp47805
g13
Nsg14
Nsg15
V10000m
p47806
sbNg8
(g9
g10
NtRp47807
(dp47808
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47809
sbg8
(g9
g10
NtRp47810
(dp47811
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44003b4-4807-49d7-91bc-284aea893ee9
p47812
sbg8
(g9
g10
NtRp47813
(dp47814
g13
Nsg14
g74
sg15
V2011
p47815
sbg8
(g9
g10
NtRp47816
(dp47817
g13
Nsg14
g74
sg15
V2011
p47818
sbg8
(g9
g10
NtRp47819
(dp47820
g13
Nsg14
Nsg15
VFALSE
p47821
sbg8
(g9
g10
NtRp47822
(dp47823
g13
Nsg14
Nsg15
VGeographical grid systems
p47824
sbg8
(g9
g10
NtRp47825
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g13
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Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47827
sbg8
(g9
g10
NtRp47828
(dp47829
g13
Nsg14
Nsg15
VFALSE
p47830
sbg8
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g10
NtRp47831
(dp47832
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47833
sbg8
(g9
g10
NtRp47834
(dp47835
g13
Nsg14
Nsg15
VFALSE
p47836
sbNNNNNNNg8
(g9
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NtRp47837
(dp47838
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47839
(dp47840
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47841
(dp47842
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-mk_2011
p47843
sbNg8
(g9
g10
NtRp47844
(dp47845
g13
Nsg14
Nsg15
Vobsolete
p47846
sbtp47847
a(g8
(g9
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NtRp47848
(dp47849
g13
Nsg14
Nsg15
Vad8cac0e-0d5b-4bda-9fe1-57271311ceef
p47850
sbNg8
(g9
g10
NtRp47851
(dp47852
g13
Nsg14
Nsg15
VNatura 2000 (vector) 100 k - end 2009
p47853
sbNNNNNg8
(g9
g10
NtRp47854
(dp47855
g13
Nsg14
Nsg15
VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.
p47856
sbg8
(g23
g10
NtRp47857
(dp47858
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/natura-2000
p47859
sbNg8
(g9
g10
NtRp47860
(dp47861
g13
Nsg14
Nsg15
VFALSE
p47862
sbNNNg8
(g9
g10
NtRp47863
(dp47864
g13
Nsg14
Nsg15
VFALSE
p47865
sbNNg8
(g9
g10
NtRp47866
(dp47867
g13
Nsg14
Nsg15
VFALSE
p47868
sbNNg8
(g9
g10
NtRp47869
(dp47870
g13
Nsg14
Nsg15
VFALSE
p47871
sbNg8
(g9
g10
NtRp47872
(dp47873
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad8cac0e-0d5b-4bda-9fe1-57271311ceef.png
p47874
sbg8
(g9
g10
NtRp47875
(dp47876
g13
Nsg14
Nsg15
VEPSG:3035
p47877
sbg8
(g9
g10
NtRp47878
(dp47879
g13
Nsg14
Nsg15
V2019-06-04
p47880
sbNNNg8
(g9
g10
NtRp47881
(dp47882
g13
Nsg14
Nsg15
Vvector
p47883
sbg8
(g9
g10
NtRp47884
(dp47885
g13
Nsg14
Nsg15
VSHP
p47886
sbNg8
(g9
g10
NtRp47887
(dp47888
g13
Nsg14
Nsg15
V1:100000
p47889
sbNg8
(g9
g10
NtRp47890
(dp47891
g13
Nsg14
Nsg15
VMember States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.
p47892
sbg8
(g9
g10
NtRp47893
(dp47894
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad8cac0e-0d5b-4bda-9fe1-57271311ceef
p47895
sbg8
(g9
g10
NtRp47896
(dp47897
g13
Nsg14
g74
sg15
V2009
p47898
sbg8
(g9
g10
NtRp47899
(dp47900
g13
Nsg14
g74
sg15
V2009
p47901
sbg8
(g9
g10
NtRp47902
(dp47903
g13
Nsg14
Nsg15
VFALSE
p47904
sbg8
(g9
g10
NtRp47905
(dp47906
g13
Nsg14
Nsg15
VProtected sites
p47907
sbg8
(g9
g10
NtRp47908
(dp47909
g13
Nsg14
Nsg15
VThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a  \u000a  EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
p47910
sbg8
(g9
g10
NtRp47911
(dp47912
g13
Nsg14
Nsg15
VFALSE
p47913
sbg8
(g9
g10
NtRp47914
(dp47915
g13
Nsg14
Nsg15
VEuropean Commission
p47916
sbg8
(g9
g10
NtRp47917
(dp47918
g13
Nsg14
Nsg15
VFALSE
p47919
sbNNNNNNNg8
(g9
g10
NtRp47920
(dp47921
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp47922
(dp47923
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp47924
(dp47925
g13
Nsg14
Nsg15
Veea_v_3035_100_k_natura2000_200906-200910
p47926
sbNg8
(g9
g10
NtRp47927
(dp47928
g13
Nsg14
Nsg15
Vsuperseded
p47929
sbtp47930
a(g8
(g9
g10
NtRp47931
(dp47932
g13
Nsg14
Nsg15
V34b3126f-0884-4741-aecd-01b2da851793
p47933
sbNg8
(g9
g10
NtRp47934
(dp47935
g13
Nsg14
Nsg15
VEEA reference grid for Norway (1km), May 2011
p47936
sbNNNNNg8
(g9
g10
NtRp47937
(dp47938
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p47939
sbg8
(g23
g10
NtRp47940
(dp47941
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p47942
sbNg8
(g9
g10
NtRp47943
(dp47944
g13
Nsg14
Nsg15
VFALSE
p47945
sbNNNg8
(g9
g10
NtRp47946
(dp47947
g13
Nsg14
Nsg15
VFALSE
p47948
sbNNg8
(g9
g10
NtRp47949
(dp47950
g13
Nsg14
Nsg15
VFALSE
p47951
sbNNg8
(g9
g10
NtRp47952
(dp47953
g13
Nsg14
Nsg15
VFALSE
p47954
sbNg8
(g9
g10
NtRp47955
(dp47956
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/34b3126f-0884-4741-aecd-01b2da851793.png
p47957
sbg8
(g9
g10
NtRp47958
(dp47959
g13
Nsg14
Nsg15
VEPSG:3035
p47960
sbg8
(g9
g10
NtRp47961
(dp47962
g13
Nsg14
Nsg15
V2019-06-04
p47963
sbNNNg8
(g9
g10
NtRp47964
(dp47965
g13
Nsg14
Nsg15
Vvector
p47966
sbg8
(g9
g10
NtRp47967
(dp47968
g13
Nsg14
Nsg15
VSHP
p47969
sbNg8
(g9
g10
NtRp47970
(dp47971
g13
Nsg14
Nsg15
V1000m
p47972
sbNg8
(g9
g10
NtRp47973
(dp47974
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p47975
sbg8
(g9
g10
NtRp47976
(dp47977
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34b3126f-0884-4741-aecd-01b2da851793
p47978
sbg8
(g9
g10
NtRp47979
(dp47980
g13
Nsg14
g74
sg15
V2011
p47981
sbg8
(g9
g10
NtRp47982
(dp47983
g13
Nsg14
g74
sg15
V2011
p47984
sbg8
(g9
g10
NtRp47985
(dp47986
g13
Nsg14
Nsg15
VFALSE
p47987
sbg8
(g9
g10
NtRp47988
(dp47989
g13
Nsg14
Nsg15
VGeographical grid systems
p47990
sbg8
(g9
g10
NtRp47991
(dp47992
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p47993
sbg8
(g9
g10
NtRp47994
(dp47995
g13
Nsg14
Nsg15
VFALSE
p47996
sbg8
(g9
g10
NtRp47997
(dp47998
g13
Nsg14
Nsg15
VEuropean Environment Agency
p47999
sbg8
(g9
g10
NtRp48000
(dp48001
g13
Nsg14
Nsg15
VFALSE
p48002
sbNNNNNNNg8
(g9
g10
NtRp48003
(dp48004
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48005
(dp48006
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48007
(dp48008
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-no_2011
p48009
sbNg8
(g9
g10
NtRp48010
(dp48011
g13
Nsg14
Nsg15
Vobsolete
p48012
sbtp48013
a(g8
(g9
g10
NtRp48014
(dp48015
g13
Nsg14
Nsg15
V23b457d3-2c09-47b5-bbee-ba976b2c8c63
p48016
sbNg8
(g9
g10
NtRp48017
(dp48018
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (10km), May 2011
p48019
sbNNNNNg8
(g9
g10
NtRp48020
(dp48021
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48022
sbg8
(g23
g10
NtRp48023
(dp48024
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48025
sbNg8
(g9
g10
NtRp48026
(dp48027
g13
Nsg14
Nsg15
VFALSE
p48028
sbNNNg8
(g9
g10
NtRp48029
(dp48030
g13
Nsg14
Nsg15
VFALSE
p48031
sbNNg8
(g9
g10
NtRp48032
(dp48033
g13
Nsg14
Nsg15
VFALSE
p48034
sbNNg8
(g9
g10
NtRp48035
(dp48036
g13
Nsg14
Nsg15
VFALSE
p48037
sbNg8
(g9
g10
NtRp48038
(dp48039
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b457d3-2c09-47b5-bbee-ba976b2c8c63.png
p48040
sbg8
(g9
g10
NtRp48041
(dp48042
g13
Nsg14
Nsg15
VEPSG:3035
p48043
sbg8
(g9
g10
NtRp48044
(dp48045
g13
Nsg14
Nsg15
V2019-06-04
p48046
sbNNNg8
(g9
g10
NtRp48047
(dp48048
g13
Nsg14
Nsg15
Vvector
p48049
sbg8
(g9
g10
NtRp48050
(dp48051
g13
Nsg14
Nsg15
VSHP
p48052
sbNg8
(g9
g10
NtRp48053
(dp48054
g13
Nsg14
Nsg15
V10000m
p48055
sbNg8
(g9
g10
NtRp48056
(dp48057
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48058
sbg8
(g9
g10
NtRp48059
(dp48060
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b457d3-2c09-47b5-bbee-ba976b2c8c63
p48061
sbg8
(g9
g10
NtRp48062
(dp48063
g13
Nsg14
g74
sg15
V2011
p48064
sbg8
(g9
g10
NtRp48065
(dp48066
g13
Nsg14
g74
sg15
V2011
p48067
sbg8
(g9
g10
NtRp48068
(dp48069
g13
Nsg14
Nsg15
VFALSE
p48070
sbg8
(g9
g10
NtRp48071
(dp48072
g13
Nsg14
Nsg15
VGeographical grid systems
p48073
sbg8
(g9
g10
NtRp48074
(dp48075
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48076
sbg8
(g9
g10
NtRp48077
(dp48078
g13
Nsg14
Nsg15
VFALSE
p48079
sbg8
(g9
g10
NtRp48080
(dp48081
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48082
sbg8
(g9
g10
NtRp48083
(dp48084
g13
Nsg14
Nsg15
VFALSE
p48085
sbNNNNNNNg8
(g9
g10
NtRp48086
(dp48087
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48088
(dp48089
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48090
(dp48091
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-bg_2011
p48092
sbNg8
(g9
g10
NtRp48093
(dp48094
g13
Nsg14
Nsg15
Vobsolete
p48095
sbtp48096
a(g8
(g9
g10
NtRp48097
(dp48098
g13
Nsg14
Nsg15
Vef0c1052-6405-4f1d-ae58-9d6e2acae96a
p48099
sbNg8
(g9
g10
NtRp48100
(dp48101
g13
Nsg14
Nsg15
VEEA reference grid for Malta (100km), May 2011
p48102
sbNNNNNg8
(g9
g10
NtRp48103
(dp48104
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48105
sbg8
(g23
g10
NtRp48106
(dp48107
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48108
sbNg8
(g9
g10
NtRp48109
(dp48110
g13
Nsg14
Nsg15
VFALSE
p48111
sbNNNg8
(g9
g10
NtRp48112
(dp48113
g13
Nsg14
Nsg15
VFALSE
p48114
sbNNg8
(g9
g10
NtRp48115
(dp48116
g13
Nsg14
Nsg15
VFALSE
p48117
sbNNg8
(g9
g10
NtRp48118
(dp48119
g13
Nsg14
Nsg15
VFALSE
p48120
sbNg8
(g9
g10
NtRp48121
(dp48122
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef0c1052-6405-4f1d-ae58-9d6e2acae96a.png
p48123
sbg8
(g9
g10
NtRp48124
(dp48125
g13
Nsg14
Nsg15
VEPSG:3035
p48126
sbg8
(g9
g10
NtRp48127
(dp48128
g13
Nsg14
Nsg15
V2019-06-04
p48129
sbNNNg8
(g9
g10
NtRp48130
(dp48131
g13
Nsg14
Nsg15
Vvector
p48132
sbg8
(g9
g10
NtRp48133
(dp48134
g13
Nsg14
Nsg15
VSHP
p48135
sbNg8
(g9
g10
NtRp48136
(dp48137
g13
Nsg14
Nsg15
V100000m
p48138
sbNg8
(g9
g10
NtRp48139
(dp48140
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48141
sbg8
(g9
g10
NtRp48142
(dp48143
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef0c1052-6405-4f1d-ae58-9d6e2acae96a
p48144
sbg8
(g9
g10
NtRp48145
(dp48146
g13
Nsg14
g74
sg15
V2011
p48147
sbg8
(g9
g10
NtRp48148
(dp48149
g13
Nsg14
g74
sg15
V2011
p48150
sbg8
(g9
g10
NtRp48151
(dp48152
g13
Nsg14
Nsg15
VFALSE
p48153
sbg8
(g9
g10
NtRp48154
(dp48155
g13
Nsg14
Nsg15
VGeographical grid systems
p48156
sbg8
(g9
g10
NtRp48157
(dp48158
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48159
sbg8
(g9
g10
NtRp48160
(dp48161
g13
Nsg14
Nsg15
VFALSE
p48162
sbg8
(g9
g10
NtRp48163
(dp48164
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48165
sbg8
(g9
g10
NtRp48166
(dp48167
g13
Nsg14
Nsg15
VFALSE
p48168
sbNNNNNNNg8
(g9
g10
NtRp48169
(dp48170
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48171
(dp48172
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48173
(dp48174
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-mt_2011
p48175
sbNg8
(g9
g10
NtRp48176
(dp48177
g13
Nsg14
Nsg15
Vobsolete
p48178
sbtp48179
a(g8
(g9
g10
NtRp48180
(dp48181
g13
Nsg14
Nsg15
Vf5d0cc18-5058-435e-822d-ca1479098c87
p48182
sbNg8
(g9
g10
NtRp48183
(dp48184
g13
Nsg14
Nsg15
VEEA reference grid for Ireland (100km), May 2011
p48185
sbNNNNNg8
(g9
g10
NtRp48186
(dp48187
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48188
sbg8
(g23
g10
NtRp48189
(dp48190
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48191
sbNg8
(g9
g10
NtRp48192
(dp48193
g13
Nsg14
Nsg15
VFALSE
p48194
sbNNNg8
(g9
g10
NtRp48195
(dp48196
g13
Nsg14
Nsg15
VFALSE
p48197
sbNNg8
(g9
g10
NtRp48198
(dp48199
g13
Nsg14
Nsg15
VFALSE
p48200
sbNNg8
(g9
g10
NtRp48201
(dp48202
g13
Nsg14
Nsg15
VFALSE
p48203
sbNg8
(g9
g10
NtRp48204
(dp48205
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5d0cc18-5058-435e-822d-ca1479098c87.png
p48206
sbg8
(g9
g10
NtRp48207
(dp48208
g13
Nsg14
Nsg15
VEPSG:3035
p48209
sbg8
(g9
g10
NtRp48210
(dp48211
g13
Nsg14
Nsg15
V2019-06-04
p48212
sbNNNg8
(g9
g10
NtRp48213
(dp48214
g13
Nsg14
Nsg15
Vvector
p48215
sbg8
(g9
g10
NtRp48216
(dp48217
g13
Nsg14
Nsg15
VSHP
p48218
sbNg8
(g9
g10
NtRp48219
(dp48220
g13
Nsg14
Nsg15
V100000m
p48221
sbNg8
(g9
g10
NtRp48222
(dp48223
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48224
sbg8
(g9
g10
NtRp48225
(dp48226
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5d0cc18-5058-435e-822d-ca1479098c87
p48227
sbg8
(g9
g10
NtRp48228
(dp48229
g13
Nsg14
g74
sg15
V2011
p48230
sbg8
(g9
g10
NtRp48231
(dp48232
g13
Nsg14
g74
sg15
V2011
p48233
sbg8
(g9
g10
NtRp48234
(dp48235
g13
Nsg14
Nsg15
VFALSE
p48236
sbg8
(g9
g10
NtRp48237
(dp48238
g13
Nsg14
Nsg15
VGeographical grid systems
p48239
sbg8
(g9
g10
NtRp48240
(dp48241
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48242
sbg8
(g9
g10
NtRp48243
(dp48244
g13
Nsg14
Nsg15
VFALSE
p48245
sbg8
(g9
g10
NtRp48246
(dp48247
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48248
sbg8
(g9
g10
NtRp48249
(dp48250
g13
Nsg14
Nsg15
VFALSE
p48251
sbNNNNNNNg8
(g9
g10
NtRp48252
(dp48253
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48254
(dp48255
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48256
(dp48257
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ie_2011
p48258
sbNg8
(g9
g10
NtRp48259
(dp48260
g13
Nsg14
Nsg15
Vobsolete
p48261
sbtp48262
a(g8
(g9
g10
NtRp48263
(dp48264
g13
Nsg14
Nsg15
V764116af-4c9c-4343-b2d4-1e48740d82b7
p48265
sbNg8
(g9
g10
NtRp48266
(dp48267
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (1km), May 2011
p48268
sbNNNNNg8
(g9
g10
NtRp48269
(dp48270
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48271
sbg8
(g23
g10
NtRp48272
(dp48273
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48274
sbNg8
(g9
g10
NtRp48275
(dp48276
g13
Nsg14
Nsg15
VFALSE
p48277
sbNNNg8
(g9
g10
NtRp48278
(dp48279
g13
Nsg14
Nsg15
VFALSE
p48280
sbNNg8
(g9
g10
NtRp48281
(dp48282
g13
Nsg14
Nsg15
VFALSE
p48283
sbNNg8
(g9
g10
NtRp48284
(dp48285
g13
Nsg14
Nsg15
VFALSE
p48286
sbNg8
(g9
g10
NtRp48287
(dp48288
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/764116af-4c9c-4343-b2d4-1e48740d82b7.png
p48289
sbg8
(g9
g10
NtRp48290
(dp48291
g13
Nsg14
Nsg15
VEPSG:3035
p48292
sbg8
(g9
g10
NtRp48293
(dp48294
g13
Nsg14
Nsg15
V2019-06-04
p48295
sbNNNg8
(g9
g10
NtRp48296
(dp48297
g13
Nsg14
Nsg15
Vvector
p48298
sbg8
(g9
g10
NtRp48299
(dp48300
g13
Nsg14
Nsg15
VSHP
p48301
sbNg8
(g9
g10
NtRp48302
(dp48303
g13
Nsg14
Nsg15
V1000m
p48304
sbNg8
(g9
g10
NtRp48305
(dp48306
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48307
sbg8
(g9
g10
NtRp48308
(dp48309
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/764116af-4c9c-4343-b2d4-1e48740d82b7
p48310
sbg8
(g9
g10
NtRp48311
(dp48312
g13
Nsg14
g74
sg15
V2011
p48313
sbg8
(g9
g10
NtRp48314
(dp48315
g13
Nsg14
g74
sg15
V2011
p48316
sbg8
(g9
g10
NtRp48317
(dp48318
g13
Nsg14
Nsg15
VFALSE
p48319
sbg8
(g9
g10
NtRp48320
(dp48321
g13
Nsg14
Nsg15
VGeographical grid systems
p48322
sbg8
(g9
g10
NtRp48323
(dp48324
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48325
sbg8
(g9
g10
NtRp48326
(dp48327
g13
Nsg14
Nsg15
VFALSE
p48328
sbg8
(g9
g10
NtRp48329
(dp48330
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48331
sbg8
(g9
g10
NtRp48332
(dp48333
g13
Nsg14
Nsg15
VFALSE
p48334
sbNNNNNNNg8
(g9
g10
NtRp48335
(dp48336
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48337
(dp48338
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48339
(dp48340
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-is_2011
p48341
sbNg8
(g9
g10
NtRp48342
(dp48343
g13
Nsg14
Nsg15
Vobsolete
p48344
sbtp48345
a(g8
(g9
g10
NtRp48346
(dp48347
g13
Nsg14
Nsg15
V660ce4c2-6e23-4aca-b906-0996bdcf24ac
p48348
sbNg8
(g9
g10
NtRp48349
(dp48350
g13
Nsg14
Nsg15
VEEA reference grid for France (100km), May 2011
p48351
sbNNNNNg8
(g9
g10
NtRp48352
(dp48353
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48354
sbg8
(g23
g10
NtRp48355
(dp48356
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48357
sbNg8
(g9
g10
NtRp48358
(dp48359
g13
Nsg14
Nsg15
VFALSE
p48360
sbNNNg8
(g9
g10
NtRp48361
(dp48362
g13
Nsg14
Nsg15
VFALSE
p48363
sbNNg8
(g9
g10
NtRp48364
(dp48365
g13
Nsg14
Nsg15
VFALSE
p48366
sbNNg8
(g9
g10
NtRp48367
(dp48368
g13
Nsg14
Nsg15
VFALSE
p48369
sbNg8
(g9
g10
NtRp48370
(dp48371
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/660ce4c2-6e23-4aca-b906-0996bdcf24ac.png
p48372
sbg8
(g9
g10
NtRp48373
(dp48374
g13
Nsg14
Nsg15
VEPSG:3035
p48375
sbg8
(g9
g10
NtRp48376
(dp48377
g13
Nsg14
Nsg15
V2019-06-04
p48378
sbNNNg8
(g9
g10
NtRp48379
(dp48380
g13
Nsg14
Nsg15
Vvector
p48381
sbg8
(g9
g10
NtRp48382
(dp48383
g13
Nsg14
Nsg15
VSHP
p48384
sbNg8
(g9
g10
NtRp48385
(dp48386
g13
Nsg14
Nsg15
V100000m
p48387
sbNg8
(g9
g10
NtRp48388
(dp48389
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48390
sbg8
(g9
g10
NtRp48391
(dp48392
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/660ce4c2-6e23-4aca-b906-0996bdcf24ac
p48393
sbg8
(g9
g10
NtRp48394
(dp48395
g13
Nsg14
g74
sg15
V2011
p48396
sbg8
(g9
g10
NtRp48397
(dp48398
g13
Nsg14
g74
sg15
V2011
p48399
sbg8
(g9
g10
NtRp48400
(dp48401
g13
Nsg14
Nsg15
VFALSE
p48402
sbg8
(g9
g10
NtRp48403
(dp48404
g13
Nsg14
Nsg15
VGeographical grid systems
p48405
sbg8
(g9
g10
NtRp48406
(dp48407
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48408
sbg8
(g9
g10
NtRp48409
(dp48410
g13
Nsg14
Nsg15
VFALSE
p48411
sbg8
(g9
g10
NtRp48412
(dp48413
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48414
sbg8
(g9
g10
NtRp48415
(dp48416
g13
Nsg14
Nsg15
VFALSE
p48417
sbNNNNNNNg8
(g9
g10
NtRp48418
(dp48419
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48420
(dp48421
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48422
(dp48423
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-fr_2011
p48424
sbNg8
(g9
g10
NtRp48425
(dp48426
g13
Nsg14
Nsg15
Vobsolete
p48427
sbtp48428
a(g8
(g9
g10
NtRp48429
(dp48430
g13
Nsg14
Nsg15
V48b3b559-e140-4f67-8c67-842f7524078a
p48431
sbNg8
(g9
g10
NtRp48432
(dp48433
g13
Nsg14
Nsg15
VEEA reference grid for Spain (10km), May 2011
p48434
sbNNNNNg8
(g9
g10
NtRp48435
(dp48436
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48437
sbg8
(g23
g10
NtRp48438
(dp48439
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48440
sbNg8
(g9
g10
NtRp48441
(dp48442
g13
Nsg14
Nsg15
VFALSE
p48443
sbNNNg8
(g9
g10
NtRp48444
(dp48445
g13
Nsg14
Nsg15
VFALSE
p48446
sbNNg8
(g9
g10
NtRp48447
(dp48448
g13
Nsg14
Nsg15
VFALSE
p48449
sbNNg8
(g9
g10
NtRp48450
(dp48451
g13
Nsg14
Nsg15
VFALSE
p48452
sbNg8
(g9
g10
NtRp48453
(dp48454
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48b3b559-e140-4f67-8c67-842f7524078a.png
p48455
sbg8
(g9
g10
NtRp48456
(dp48457
g13
Nsg14
Nsg15
VEPSG:3035
p48458
sbg8
(g9
g10
NtRp48459
(dp48460
g13
Nsg14
Nsg15
V2019-06-04
p48461
sbNNNg8
(g9
g10
NtRp48462
(dp48463
g13
Nsg14
Nsg15
Vvector
p48464
sbg8
(g9
g10
NtRp48465
(dp48466
g13
Nsg14
Nsg15
VSHP
p48467
sbNg8
(g9
g10
NtRp48468
(dp48469
g13
Nsg14
Nsg15
V10000m
p48470
sbNg8
(g9
g10
NtRp48471
(dp48472
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48473
sbg8
(g9
g10
NtRp48474
(dp48475
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48b3b559-e140-4f67-8c67-842f7524078a
p48476
sbg8
(g9
g10
NtRp48477
(dp48478
g13
Nsg14
g74
sg15
V2011
p48479
sbg8
(g9
g10
NtRp48480
(dp48481
g13
Nsg14
g74
sg15
V2011
p48482
sbg8
(g9
g10
NtRp48483
(dp48484
g13
Nsg14
Nsg15
VFALSE
p48485
sbg8
(g9
g10
NtRp48486
(dp48487
g13
Nsg14
Nsg15
VGeographical grid systems
p48488
sbg8
(g9
g10
NtRp48489
(dp48490
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48491
sbg8
(g9
g10
NtRp48492
(dp48493
g13
Nsg14
Nsg15
VFALSE
p48494
sbg8
(g9
g10
NtRp48495
(dp48496
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48497
sbg8
(g9
g10
NtRp48498
(dp48499
g13
Nsg14
Nsg15
VFALSE
p48500
sbNNNNNNNg8
(g9
g10
NtRp48501
(dp48502
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48503
(dp48504
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48505
(dp48506
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-es_2011
p48507
sbNg8
(g9
g10
NtRp48508
(dp48509
g13
Nsg14
Nsg15
Vobsolete
p48510
sbtp48511
a(g8
(g9
g10
NtRp48512
(dp48513
g13
Nsg14
Nsg15
Vb55f8c0b-9ba2-419c-8d6c-b2b77ba771ff
p48514
sbNg8
(g9
g10
NtRp48515
(dp48516
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (1km), May 2011
p48517
sbNNNNNg8
(g9
g10
NtRp48518
(dp48519
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48520
sbg8
(g23
g10
NtRp48521
(dp48522
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48523
sbNg8
(g9
g10
NtRp48524
(dp48525
g13
Nsg14
Nsg15
VFALSE
p48526
sbNNNg8
(g9
g10
NtRp48527
(dp48528
g13
Nsg14
Nsg15
VFALSE
p48529
sbNNg8
(g9
g10
NtRp48530
(dp48531
g13
Nsg14
Nsg15
VFALSE
p48532
sbNNg8
(g9
g10
NtRp48533
(dp48534
g13
Nsg14
Nsg15
VFALSE
p48535
sbNg8
(g9
g10
NtRp48536
(dp48537
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55f8c0b-9ba2-419c-8d6c-b2b77ba771ff.png
p48538
sbg8
(g9
g10
NtRp48539
(dp48540
g13
Nsg14
Nsg15
VEPSG:3035
p48541
sbg8
(g9
g10
NtRp48542
(dp48543
g13
Nsg14
Nsg15
V2019-06-04
p48544
sbNNNg8
(g9
g10
NtRp48545
(dp48546
g13
Nsg14
Nsg15
Vvector
p48547
sbg8
(g9
g10
NtRp48548
(dp48549
g13
Nsg14
Nsg15
VSHP
p48550
sbNg8
(g9
g10
NtRp48551
(dp48552
g13
Nsg14
Nsg15
V1000m
p48553
sbNg8
(g9
g10
NtRp48554
(dp48555
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48556
sbg8
(g9
g10
NtRp48557
(dp48558
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55f8c0b-9ba2-419c-8d6c-b2b77ba771ff
p48559
sbg8
(g9
g10
NtRp48560
(dp48561
g13
Nsg14
g74
sg15
V2011
p48562
sbg8
(g9
g10
NtRp48563
(dp48564
g13
Nsg14
g74
sg15
V2011
p48565
sbg8
(g9
g10
NtRp48566
(dp48567
g13
Nsg14
Nsg15
VFALSE
p48568
sbg8
(g9
g10
NtRp48569
(dp48570
g13
Nsg14
Nsg15
VGeographical grid systems
p48571
sbg8
(g9
g10
NtRp48572
(dp48573
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48574
sbg8
(g9
g10
NtRp48575
(dp48576
g13
Nsg14
Nsg15
VFALSE
p48577
sbg8
(g9
g10
NtRp48578
(dp48579
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48580
sbg8
(g9
g10
NtRp48581
(dp48582
g13
Nsg14
Nsg15
VFALSE
p48583
sbNNNNNNNg8
(g9
g10
NtRp48584
(dp48585
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48586
(dp48587
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48588
(dp48589
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-hr_2011
p48590
sbNg8
(g9
g10
NtRp48591
(dp48592
g13
Nsg14
Nsg15
Vobsolete
p48593
sbtp48594
a(g8
(g9
g10
NtRp48595
(dp48596
g13
Nsg14
Nsg15
V5407bd5f-8c05-4b1c-9b8e-812574d6f50f
p48597
sbNg8
(g9
g10
NtRp48598
(dp48599
g13
Nsg14
Nsg15
VEEA reference grid for Albania (100km), May 2011
p48600
sbNNNNNg8
(g9
g10
NtRp48601
(dp48602
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48603
sbg8
(g23
g10
NtRp48604
(dp48605
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48606
sbNg8
(g9
g10
NtRp48607
(dp48608
g13
Nsg14
Nsg15
VFALSE
p48609
sbNNNg8
(g9
g10
NtRp48610
(dp48611
g13
Nsg14
Nsg15
VFALSE
p48612
sbNNg8
(g9
g10
NtRp48613
(dp48614
g13
Nsg14
Nsg15
VFALSE
p48615
sbNNg8
(g9
g10
NtRp48616
(dp48617
g13
Nsg14
Nsg15
VFALSE
p48618
sbNg8
(g9
g10
NtRp48619
(dp48620
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5407bd5f-8c05-4b1c-9b8e-812574d6f50f.png
p48621
sbg8
(g9
g10
NtRp48622
(dp48623
g13
Nsg14
Nsg15
VEPSG:3035
p48624
sbg8
(g9
g10
NtRp48625
(dp48626
g13
Nsg14
Nsg15
V2019-06-04
p48627
sbNNNg8
(g9
g10
NtRp48628
(dp48629
g13
Nsg14
Nsg15
Vvector
p48630
sbg8
(g9
g10
NtRp48631
(dp48632
g13
Nsg14
Nsg15
VSHP
p48633
sbNg8
(g9
g10
NtRp48634
(dp48635
g13
Nsg14
Nsg15
V100000m
p48636
sbNg8
(g9
g10
NtRp48637
(dp48638
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48639
sbg8
(g9
g10
NtRp48640
(dp48641
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5407bd5f-8c05-4b1c-9b8e-812574d6f50f
p48642
sbg8
(g9
g10
NtRp48643
(dp48644
g13
Nsg14
g74
sg15
V2011
p48645
sbg8
(g9
g10
NtRp48646
(dp48647
g13
Nsg14
g74
sg15
V2011
p48648
sbg8
(g9
g10
NtRp48649
(dp48650
g13
Nsg14
Nsg15
VFALSE
p48651
sbg8
(g9
g10
NtRp48652
(dp48653
g13
Nsg14
Nsg15
VGeographical grid systems
p48654
sbg8
(g9
g10
NtRp48655
(dp48656
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48657
sbg8
(g9
g10
NtRp48658
(dp48659
g13
Nsg14
Nsg15
VFALSE
p48660
sbg8
(g9
g10
NtRp48661
(dp48662
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48663
sbg8
(g9
g10
NtRp48664
(dp48665
g13
Nsg14
Nsg15
VFALSE
p48666
sbNNNNNNNg8
(g9
g10
NtRp48667
(dp48668
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48669
(dp48670
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48671
(dp48672
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-al_2011
p48673
sbNg8
(g9
g10
NtRp48674
(dp48675
g13
Nsg14
Nsg15
Vobsolete
p48676
sbtp48677
a(g8
(g9
g10
NtRp48678
(dp48679
g13
Nsg14
Nsg15
Ve788ae75-deab-43ab-877c-4519695e7dae
p48680
sbNg8
(g9
g10
NtRp48681
(dp48682
g13
Nsg14
Nsg15
VEEA reference grid for Finland (100km), May 2011
p48683
sbNNNNNg8
(g9
g10
NtRp48684
(dp48685
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48686
sbg8
(g23
g10
NtRp48687
(dp48688
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48689
sbNg8
(g9
g10
NtRp48690
(dp48691
g13
Nsg14
Nsg15
VFALSE
p48692
sbNNNg8
(g9
g10
NtRp48693
(dp48694
g13
Nsg14
Nsg15
VFALSE
p48695
sbNNg8
(g9
g10
NtRp48696
(dp48697
g13
Nsg14
Nsg15
VFALSE
p48698
sbNNg8
(g9
g10
NtRp48699
(dp48700
g13
Nsg14
Nsg15
VFALSE
p48701
sbNg8
(g9
g10
NtRp48702
(dp48703
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e788ae75-deab-43ab-877c-4519695e7dae.png
p48704
sbg8
(g9
g10
NtRp48705
(dp48706
g13
Nsg14
Nsg15
VEPSG:3035
p48707
sbg8
(g9
g10
NtRp48708
(dp48709
g13
Nsg14
Nsg15
V2019-06-04
p48710
sbNNNg8
(g9
g10
NtRp48711
(dp48712
g13
Nsg14
Nsg15
Vvector
p48713
sbg8
(g9
g10
NtRp48714
(dp48715
g13
Nsg14
Nsg15
VSHP
p48716
sbNg8
(g9
g10
NtRp48717
(dp48718
g13
Nsg14
Nsg15
V100000m
p48719
sbNg8
(g9
g10
NtRp48720
(dp48721
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48722
sbg8
(g9
g10
NtRp48723
(dp48724
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e788ae75-deab-43ab-877c-4519695e7dae
p48725
sbg8
(g9
g10
NtRp48726
(dp48727
g13
Nsg14
g74
sg15
V2011
p48728
sbg8
(g9
g10
NtRp48729
(dp48730
g13
Nsg14
g74
sg15
V2011
p48731
sbg8
(g9
g10
NtRp48732
(dp48733
g13
Nsg14
Nsg15
VFALSE
p48734
sbg8
(g9
g10
NtRp48735
(dp48736
g13
Nsg14
Nsg15
VGeographical grid systems
p48737
sbg8
(g9
g10
NtRp48738
(dp48739
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48740
sbg8
(g9
g10
NtRp48741
(dp48742
g13
Nsg14
Nsg15
VFALSE
p48743
sbg8
(g9
g10
NtRp48744
(dp48745
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48746
sbg8
(g9
g10
NtRp48747
(dp48748
g13
Nsg14
Nsg15
VFALSE
p48749
sbNNNNNNNg8
(g9
g10
NtRp48750
(dp48751
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48752
(dp48753
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48754
(dp48755
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-fi_2011
p48756
sbNg8
(g9
g10
NtRp48757
(dp48758
g13
Nsg14
Nsg15
Vobsolete
p48759
sbtp48760
a(g8
(g9
g10
NtRp48761
(dp48762
g13
Nsg14
Nsg15
V20e9e1a1-83c1-4f13-89ef-c19767d6ee18
p48763
sbNg8
(g9
g10
NtRp48764
(dp48765
g13
Nsg14
Nsg15
VEEA reference grid for Germany (10km), May 2011
p48766
sbNNNNNg8
(g9
g10
NtRp48767
(dp48768
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48769
sbg8
(g23
g10
NtRp48770
(dp48771
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48772
sbNg8
(g9
g10
NtRp48773
(dp48774
g13
Nsg14
Nsg15
VFALSE
p48775
sbNNNg8
(g9
g10
NtRp48776
(dp48777
g13
Nsg14
Nsg15
VFALSE
p48778
sbNNg8
(g9
g10
NtRp48779
(dp48780
g13
Nsg14
Nsg15
VFALSE
p48781
sbNNg8
(g9
g10
NtRp48782
(dp48783
g13
Nsg14
Nsg15
VFALSE
p48784
sbNg8
(g9
g10
NtRp48785
(dp48786
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20e9e1a1-83c1-4f13-89ef-c19767d6ee18.png
p48787
sbg8
(g9
g10
NtRp48788
(dp48789
g13
Nsg14
Nsg15
VEPSG:3035
p48790
sbg8
(g9
g10
NtRp48791
(dp48792
g13
Nsg14
Nsg15
V2019-06-04
p48793
sbNNNg8
(g9
g10
NtRp48794
(dp48795
g13
Nsg14
Nsg15
Vvector
p48796
sbg8
(g9
g10
NtRp48797
(dp48798
g13
Nsg14
Nsg15
VSHP
p48799
sbNg8
(g9
g10
NtRp48800
(dp48801
g13
Nsg14
Nsg15
V10000m
p48802
sbNg8
(g9
g10
NtRp48803
(dp48804
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48805
sbg8
(g9
g10
NtRp48806
(dp48807
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20e9e1a1-83c1-4f13-89ef-c19767d6ee18
p48808
sbg8
(g9
g10
NtRp48809
(dp48810
g13
Nsg14
g74
sg15
V2011
p48811
sbg8
(g9
g10
NtRp48812
(dp48813
g13
Nsg14
g74
sg15
V2011
p48814
sbg8
(g9
g10
NtRp48815
(dp48816
g13
Nsg14
Nsg15
VFALSE
p48817
sbg8
(g9
g10
NtRp48818
(dp48819
g13
Nsg14
Nsg15
VGeographical grid systems
p48820
sbg8
(g9
g10
NtRp48821
(dp48822
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48823
sbg8
(g9
g10
NtRp48824
(dp48825
g13
Nsg14
Nsg15
VFALSE
p48826
sbg8
(g9
g10
NtRp48827
(dp48828
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48829
sbg8
(g9
g10
NtRp48830
(dp48831
g13
Nsg14
Nsg15
VFALSE
p48832
sbNNNNNNNg8
(g9
g10
NtRp48833
(dp48834
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48835
(dp48836
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48837
(dp48838
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-de_2011
p48839
sbNg8
(g9
g10
NtRp48840
(dp48841
g13
Nsg14
Nsg15
Vobsolete
p48842
sbtp48843
a(g8
(g9
g10
NtRp48844
(dp48845
g13
Nsg14
Nsg15
Vc95d15fb-d98c-4972-a9f0-d54742ffcf71
p48846
sbNg8
(g9
g10
NtRp48847
(dp48848
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (1km), May 2011
p48849
sbNNNNNg8
(g9
g10
NtRp48850
(dp48851
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48852
sbg8
(g23
g10
NtRp48853
(dp48854
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48855
sbNg8
(g9
g10
NtRp48856
(dp48857
g13
Nsg14
Nsg15
VFALSE
p48858
sbNNNg8
(g9
g10
NtRp48859
(dp48860
g13
Nsg14
Nsg15
VFALSE
p48861
sbNNg8
(g9
g10
NtRp48862
(dp48863
g13
Nsg14
Nsg15
VFALSE
p48864
sbNNg8
(g9
g10
NtRp48865
(dp48866
g13
Nsg14
Nsg15
VFALSE
p48867
sbNg8
(g9
g10
NtRp48868
(dp48869
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c95d15fb-d98c-4972-a9f0-d54742ffcf71.png
p48870
sbg8
(g9
g10
NtRp48871
(dp48872
g13
Nsg14
Nsg15
VEPSG:3035
p48873
sbg8
(g9
g10
NtRp48874
(dp48875
g13
Nsg14
Nsg15
V2019-06-04
p48876
sbNNNg8
(g9
g10
NtRp48877
(dp48878
g13
Nsg14
Nsg15
Vvector
p48879
sbg8
(g9
g10
NtRp48880
(dp48881
g13
Nsg14
Nsg15
VSHP
p48882
sbNg8
(g9
g10
NtRp48883
(dp48884
g13
Nsg14
Nsg15
V1000m
p48885
sbNg8
(g9
g10
NtRp48886
(dp48887
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48888
sbg8
(g9
g10
NtRp48889
(dp48890
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c95d15fb-d98c-4972-a9f0-d54742ffcf71
p48891
sbg8
(g9
g10
NtRp48892
(dp48893
g13
Nsg14
g74
sg15
V2011
p48894
sbg8
(g9
g10
NtRp48895
(dp48896
g13
Nsg14
g74
sg15
V2011
p48897
sbg8
(g9
g10
NtRp48898
(dp48899
g13
Nsg14
Nsg15
VFALSE
p48900
sbg8
(g9
g10
NtRp48901
(dp48902
g13
Nsg14
Nsg15
VGeographical grid systems
p48903
sbg8
(g9
g10
NtRp48904
(dp48905
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48906
sbg8
(g9
g10
NtRp48907
(dp48908
g13
Nsg14
Nsg15
VFALSE
p48909
sbg8
(g9
g10
NtRp48910
(dp48911
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48912
sbg8
(g9
g10
NtRp48913
(dp48914
g13
Nsg14
Nsg15
VFALSE
p48915
sbNNNNNNNg8
(g9
g10
NtRp48916
(dp48917
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp48918
(dp48919
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp48920
(dp48921
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lt_2011
p48922
sbNg8
(g9
g10
NtRp48923
(dp48924
g13
Nsg14
Nsg15
Vobsolete
p48925
sbtp48926
a(g8
(g9
g10
NtRp48927
(dp48928
g13
Nsg14
Nsg15
V0cae298d-2129-41c3-9548-0092962f41fc
p48929
sbNg8
(g9
g10
NtRp48930
(dp48931
g13
Nsg14
Nsg15
VEEA reference grid for Italy (10km), May 2011
p48932
sbNNNNNg8
(g9
g10
NtRp48933
(dp48934
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p48935
sbg8
(g23
g10
NtRp48936
(dp48937
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p48938
sbNg8
(g9
g10
NtRp48939
(dp48940
g13
Nsg14
Nsg15
VFALSE
p48941
sbNNNg8
(g9
g10
NtRp48942
(dp48943
g13
Nsg14
Nsg15
VFALSE
p48944
sbNNg8
(g9
g10
NtRp48945
(dp48946
g13
Nsg14
Nsg15
VFALSE
p48947
sbNNg8
(g9
g10
NtRp48948
(dp48949
g13
Nsg14
Nsg15
VFALSE
p48950
sbNg8
(g9
g10
NtRp48951
(dp48952
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0cae298d-2129-41c3-9548-0092962f41fc.png
p48953
sbg8
(g9
g10
NtRp48954
(dp48955
g13
Nsg14
Nsg15
VEPSG:3035
p48956
sbg8
(g9
g10
NtRp48957
(dp48958
g13
Nsg14
Nsg15
V2019-06-04
p48959
sbNNNg8
(g9
g10
NtRp48960
(dp48961
g13
Nsg14
Nsg15
Vvector
p48962
sbg8
(g9
g10
NtRp48963
(dp48964
g13
Nsg14
Nsg15
VSHP
p48965
sbNg8
(g9
g10
NtRp48966
(dp48967
g13
Nsg14
Nsg15
V10000m
p48968
sbNg8
(g9
g10
NtRp48969
(dp48970
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p48971
sbg8
(g9
g10
NtRp48972
(dp48973
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0cae298d-2129-41c3-9548-0092962f41fc
p48974
sbg8
(g9
g10
NtRp48975
(dp48976
g13
Nsg14
g74
sg15
V2011
p48977
sbg8
(g9
g10
NtRp48978
(dp48979
g13
Nsg14
g74
sg15
V2011
p48980
sbg8
(g9
g10
NtRp48981
(dp48982
g13
Nsg14
Nsg15
VFALSE
p48983
sbg8
(g9
g10
NtRp48984
(dp48985
g13
Nsg14
Nsg15
VGeographical grid systems
p48986
sbg8
(g9
g10
NtRp48987
(dp48988
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p48989
sbg8
(g9
g10
NtRp48990
(dp48991
g13
Nsg14
Nsg15
VFALSE
p48992
sbg8
(g9
g10
NtRp48993
(dp48994
g13
Nsg14
Nsg15
VEuropean Environment Agency
p48995
sbg8
(g9
g10
NtRp48996
(dp48997
g13
Nsg14
Nsg15
VFALSE
p48998
sbNNNNNNNg8
(g9
g10
NtRp48999
(dp49000
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49001
(dp49002
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49003
(dp49004
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-it_2011
p49005
sbNg8
(g9
g10
NtRp49006
(dp49007
g13
Nsg14
Nsg15
Vobsolete
p49008
sbtp49009
a(g8
(g9
g10
NtRp49010
(dp49011
g13
Nsg14
Nsg15
Vd825233a-ce68-476e-b0d6-3229b89e40b0
p49012
sbNg8
(g9
g10
NtRp49013
(dp49014
g13
Nsg14
Nsg15
VEEA reference grid for Ireland (10km), May 2011
p49015
sbNNNNNg8
(g9
g10
NtRp49016
(dp49017
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49018
sbg8
(g23
g10
NtRp49019
(dp49020
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49021
sbNg8
(g9
g10
NtRp49022
(dp49023
g13
Nsg14
Nsg15
VFALSE
p49024
sbNNNg8
(g9
g10
NtRp49025
(dp49026
g13
Nsg14
Nsg15
VFALSE
p49027
sbNNg8
(g9
g10
NtRp49028
(dp49029
g13
Nsg14
Nsg15
VFALSE
p49030
sbNNg8
(g9
g10
NtRp49031
(dp49032
g13
Nsg14
Nsg15
VFALSE
p49033
sbNg8
(g9
g10
NtRp49034
(dp49035
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d825233a-ce68-476e-b0d6-3229b89e40b0.png
p49036
sbg8
(g9
g10
NtRp49037
(dp49038
g13
Nsg14
Nsg15
VEPSG:3035
p49039
sbg8
(g9
g10
NtRp49040
(dp49041
g13
Nsg14
Nsg15
V2019-06-04
p49042
sbNNNg8
(g9
g10
NtRp49043
(dp49044
g13
Nsg14
Nsg15
Vvector
p49045
sbg8
(g9
g10
NtRp49046
(dp49047
g13
Nsg14
Nsg15
VSHP
p49048
sbNg8
(g9
g10
NtRp49049
(dp49050
g13
Nsg14
Nsg15
V10000m
p49051
sbNg8
(g9
g10
NtRp49052
(dp49053
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49054
sbg8
(g9
g10
NtRp49055
(dp49056
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d825233a-ce68-476e-b0d6-3229b89e40b0
p49057
sbg8
(g9
g10
NtRp49058
(dp49059
g13
Nsg14
g74
sg15
V2011
p49060
sbg8
(g9
g10
NtRp49061
(dp49062
g13
Nsg14
g74
sg15
V2011
p49063
sbg8
(g9
g10
NtRp49064
(dp49065
g13
Nsg14
Nsg15
VFALSE
p49066
sbg8
(g9
g10
NtRp49067
(dp49068
g13
Nsg14
Nsg15
VGeographical grid systems
p49069
sbg8
(g9
g10
NtRp49070
(dp49071
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49072
sbg8
(g9
g10
NtRp49073
(dp49074
g13
Nsg14
Nsg15
VFALSE
p49075
sbg8
(g9
g10
NtRp49076
(dp49077
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49078
sbg8
(g9
g10
NtRp49079
(dp49080
g13
Nsg14
Nsg15
VFALSE
p49081
sbNNNNNNNg8
(g9
g10
NtRp49082
(dp49083
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49084
(dp49085
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49086
(dp49087
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ie_2011
p49088
sbNg8
(g9
g10
NtRp49089
(dp49090
g13
Nsg14
Nsg15
Vobsolete
p49091
sbtp49092
a(g8
(g9
g10
NtRp49093
(dp49094
g13
Nsg14
Nsg15
V98480df2-c52a-492f-8fb6-3dcf6e13f344
p49095
sbNg8
(g9
g10
NtRp49096
(dp49097
g13
Nsg14
Nsg15
VEEA reference grid for Serbia (1km), May 2011
p49098
sbNNNNNg8
(g9
g10
NtRp49099
(dp49100
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49101
sbg8
(g23
g10
NtRp49102
(dp49103
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49104
sbNg8
(g9
g10
NtRp49105
(dp49106
g13
Nsg14
Nsg15
VFALSE
p49107
sbNNNg8
(g9
g10
NtRp49108
(dp49109
g13
Nsg14
Nsg15
VFALSE
p49110
sbNNg8
(g9
g10
NtRp49111
(dp49112
g13
Nsg14
Nsg15
VFALSE
p49113
sbNNg8
(g9
g10
NtRp49114
(dp49115
g13
Nsg14
Nsg15
VFALSE
p49116
sbNg8
(g9
g10
NtRp49117
(dp49118
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/98480df2-c52a-492f-8fb6-3dcf6e13f344.png
p49119
sbg8
(g9
g10
NtRp49120
(dp49121
g13
Nsg14
Nsg15
VEPSG:3035
p49122
sbg8
(g9
g10
NtRp49123
(dp49124
g13
Nsg14
Nsg15
V2019-06-04
p49125
sbNNNg8
(g9
g10
NtRp49126
(dp49127
g13
Nsg14
Nsg15
Vvector
p49128
sbg8
(g9
g10
NtRp49129
(dp49130
g13
Nsg14
Nsg15
VSHP
p49131
sbNg8
(g9
g10
NtRp49132
(dp49133
g13
Nsg14
Nsg15
V1000m
p49134
sbNg8
(g9
g10
NtRp49135
(dp49136
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49137
sbg8
(g9
g10
NtRp49138
(dp49139
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98480df2-c52a-492f-8fb6-3dcf6e13f344
p49140
sbg8
(g9
g10
NtRp49141
(dp49142
g13
Nsg14
g74
sg15
V2011
p49143
sbg8
(g9
g10
NtRp49144
(dp49145
g13
Nsg14
g74
sg15
V2011
p49146
sbg8
(g9
g10
NtRp49147
(dp49148
g13
Nsg14
Nsg15
VFALSE
p49149
sbg8
(g9
g10
NtRp49150
(dp49151
g13
Nsg14
Nsg15
VGeographical grid systems
p49152
sbg8
(g9
g10
NtRp49153
(dp49154
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49155
sbg8
(g9
g10
NtRp49156
(dp49157
g13
Nsg14
Nsg15
VFALSE
p49158
sbg8
(g9
g10
NtRp49159
(dp49160
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49161
sbg8
(g9
g10
NtRp49162
(dp49163
g13
Nsg14
Nsg15
VFALSE
p49164
sbNNNNNNNg8
(g9
g10
NtRp49165
(dp49166
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49167
(dp49168
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49169
(dp49170
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-rs_2011
p49171
sbNg8
(g9
g10
NtRp49172
(dp49173
g13
Nsg14
Nsg15
Vobsolete
p49174
sbtp49175
a(g8
(g9
g10
NtRp49176
(dp49177
g13
Nsg14
Nsg15
Vc57a03db-5069-4554-a31b-ec8e53728d56
p49178
sbNg8
(g9
g10
NtRp49179
(dp49180
g13
Nsg14
Nsg15
VEEA reference grid for Austria (1km), May 2011
p49181
sbNNNNNg8
(g9
g10
NtRp49182
(dp49183
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49184
sbg8
(g23
g10
NtRp49185
(dp49186
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49187
sbNg8
(g9
g10
NtRp49188
(dp49189
g13
Nsg14
Nsg15
VFALSE
p49190
sbNNNg8
(g9
g10
NtRp49191
(dp49192
g13
Nsg14
Nsg15
VFALSE
p49193
sbNNg8
(g9
g10
NtRp49194
(dp49195
g13
Nsg14
Nsg15
VFALSE
p49196
sbNNg8
(g9
g10
NtRp49197
(dp49198
g13
Nsg14
Nsg15
VFALSE
p49199
sbNg8
(g9
g10
NtRp49200
(dp49201
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c57a03db-5069-4554-a31b-ec8e53728d56.png
p49202
sbg8
(g9
g10
NtRp49203
(dp49204
g13
Nsg14
Nsg15
VEPSG:3035
p49205
sbg8
(g9
g10
NtRp49206
(dp49207
g13
Nsg14
Nsg15
V2019-06-04
p49208
sbNNNg8
(g9
g10
NtRp49209
(dp49210
g13
Nsg14
Nsg15
Vvector
p49211
sbg8
(g9
g10
NtRp49212
(dp49213
g13
Nsg14
Nsg15
VSHP
p49214
sbNg8
(g9
g10
NtRp49215
(dp49216
g13
Nsg14
Nsg15
V1000m
p49217
sbNg8
(g9
g10
NtRp49218
(dp49219
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49220
sbg8
(g9
g10
NtRp49221
(dp49222
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c57a03db-5069-4554-a31b-ec8e53728d56
p49223
sbg8
(g9
g10
NtRp49224
(dp49225
g13
Nsg14
g74
sg15
V2011
p49226
sbg8
(g9
g10
NtRp49227
(dp49228
g13
Nsg14
g74
sg15
V2011
p49229
sbg8
(g9
g10
NtRp49230
(dp49231
g13
Nsg14
Nsg15
VFALSE
p49232
sbg8
(g9
g10
NtRp49233
(dp49234
g13
Nsg14
Nsg15
VGeographical grid systems
p49235
sbg8
(g9
g10
NtRp49236
(dp49237
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49238
sbg8
(g9
g10
NtRp49239
(dp49240
g13
Nsg14
Nsg15
VFALSE
p49241
sbg8
(g9
g10
NtRp49242
(dp49243
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49244
sbg8
(g9
g10
NtRp49245
(dp49246
g13
Nsg14
Nsg15
VFALSE
p49247
sbNNNNNNNg8
(g9
g10
NtRp49248
(dp49249
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49250
(dp49251
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49252
(dp49253
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-at_2011
p49254
sbNg8
(g9
g10
NtRp49255
(dp49256
g13
Nsg14
Nsg15
Vobsolete
p49257
sbtp49258
a(g8
(g9
g10
NtRp49259
(dp49260
g13
Nsg14
Nsg15
Vf93fddaa-56ba-4536-a1db-698f64c8af3d
p49261
sbNg8
(g9
g10
NtRp49262
(dp49263
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (1km), May 2011
p49264
sbNNNNNg8
(g9
g10
NtRp49265
(dp49266
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49267
sbg8
(g23
g10
NtRp49268
(dp49269
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49270
sbNg8
(g9
g10
NtRp49271
(dp49272
g13
Nsg14
Nsg15
VFALSE
p49273
sbNNNg8
(g9
g10
NtRp49274
(dp49275
g13
Nsg14
Nsg15
VFALSE
p49276
sbNNg8
(g9
g10
NtRp49277
(dp49278
g13
Nsg14
Nsg15
VFALSE
p49279
sbNNg8
(g9
g10
NtRp49280
(dp49281
g13
Nsg14
Nsg15
VFALSE
p49282
sbNg8
(g9
g10
NtRp49283
(dp49284
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f93fddaa-56ba-4536-a1db-698f64c8af3d.png
p49285
sbg8
(g9
g10
NtRp49286
(dp49287
g13
Nsg14
Nsg15
VEPSG:3035
p49288
sbg8
(g9
g10
NtRp49289
(dp49290
g13
Nsg14
Nsg15
V2019-06-04
p49291
sbNNNg8
(g9
g10
NtRp49292
(dp49293
g13
Nsg14
Nsg15
Vvector
p49294
sbg8
(g9
g10
NtRp49295
(dp49296
g13
Nsg14
Nsg15
VSHP
p49297
sbNg8
(g9
g10
NtRp49298
(dp49299
g13
Nsg14
Nsg15
V1000m
p49300
sbNg8
(g9
g10
NtRp49301
(dp49302
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49303
sbg8
(g9
g10
NtRp49304
(dp49305
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f93fddaa-56ba-4536-a1db-698f64c8af3d
p49306
sbg8
(g9
g10
NtRp49307
(dp49308
g13
Nsg14
g74
sg15
V2011
p49309
sbg8
(g9
g10
NtRp49310
(dp49311
g13
Nsg14
g74
sg15
V2011
p49312
sbg8
(g9
g10
NtRp49313
(dp49314
g13
Nsg14
Nsg15
VFALSE
p49315
sbg8
(g9
g10
NtRp49316
(dp49317
g13
Nsg14
Nsg15
VGeographical grid systems
p49318
sbg8
(g9
g10
NtRp49319
(dp49320
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49321
sbg8
(g9
g10
NtRp49322
(dp49323
g13
Nsg14
Nsg15
VFALSE
p49324
sbg8
(g9
g10
NtRp49325
(dp49326
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49327
sbg8
(g9
g10
NtRp49328
(dp49329
g13
Nsg14
Nsg15
VFALSE
p49330
sbNNNNNNNg8
(g9
g10
NtRp49331
(dp49332
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49333
(dp49334
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49335
(dp49336
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gi_2011
p49337
sbNg8
(g9
g10
NtRp49338
(dp49339
g13
Nsg14
Nsg15
Vobsolete
p49340
sbtp49341
a(g8
(g9
g10
NtRp49342
(dp49343
g13
Nsg14
Nsg15
Ve8d89987-d6e5-43f0-b8c4-ced7ace7c0df
p49344
sbNg8
(g9
g10
NtRp49345
(dp49346
g13
Nsg14
Nsg15
VEEA reference grid for Germany (100km), May 2011
p49347
sbNNNNNg8
(g9
g10
NtRp49348
(dp49349
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49350
sbg8
(g23
g10
NtRp49351
(dp49352
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49353
sbNg8
(g9
g10
NtRp49354
(dp49355
g13
Nsg14
Nsg15
VFALSE
p49356
sbNNNg8
(g9
g10
NtRp49357
(dp49358
g13
Nsg14
Nsg15
VFALSE
p49359
sbNNg8
(g9
g10
NtRp49360
(dp49361
g13
Nsg14
Nsg15
VFALSE
p49362
sbNNg8
(g9
g10
NtRp49363
(dp49364
g13
Nsg14
Nsg15
VFALSE
p49365
sbNg8
(g9
g10
NtRp49366
(dp49367
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8d89987-d6e5-43f0-b8c4-ced7ace7c0df.png
p49368
sbg8
(g9
g10
NtRp49369
(dp49370
g13
Nsg14
Nsg15
VEPSG:3035
p49371
sbg8
(g9
g10
NtRp49372
(dp49373
g13
Nsg14
Nsg15
V2019-06-04
p49374
sbNNNg8
(g9
g10
NtRp49375
(dp49376
g13
Nsg14
Nsg15
Vvector
p49377
sbg8
(g9
g10
NtRp49378
(dp49379
g13
Nsg14
Nsg15
VSHP
p49380
sbNg8
(g9
g10
NtRp49381
(dp49382
g13
Nsg14
Nsg15
V100000m
p49383
sbNg8
(g9
g10
NtRp49384
(dp49385
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49386
sbg8
(g9
g10
NtRp49387
(dp49388
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8d89987-d6e5-43f0-b8c4-ced7ace7c0df
p49389
sbg8
(g9
g10
NtRp49390
(dp49391
g13
Nsg14
g74
sg15
V2011
p49392
sbg8
(g9
g10
NtRp49393
(dp49394
g13
Nsg14
g74
sg15
V2011
p49395
sbg8
(g9
g10
NtRp49396
(dp49397
g13
Nsg14
Nsg15
VFALSE
p49398
sbg8
(g9
g10
NtRp49399
(dp49400
g13
Nsg14
Nsg15
VGeographical grid systems
p49401
sbg8
(g9
g10
NtRp49402
(dp49403
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49404
sbg8
(g9
g10
NtRp49405
(dp49406
g13
Nsg14
Nsg15
VFALSE
p49407
sbg8
(g9
g10
NtRp49408
(dp49409
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49410
sbg8
(g9
g10
NtRp49411
(dp49412
g13
Nsg14
Nsg15
VFALSE
p49413
sbNNNNNNNg8
(g9
g10
NtRp49414
(dp49415
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49416
(dp49417
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49418
(dp49419
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-de_2011
p49420
sbNg8
(g9
g10
NtRp49421
(dp49422
g13
Nsg14
Nsg15
Vobsolete
p49423
sbtp49424
a(g8
(g9
g10
NtRp49425
(dp49426
g13
Nsg14
Nsg15
Va25da98d-0df0-420a-bc27-1c486376c72b
p49427
sbNg8
(g9
g10
NtRp49428
(dp49429
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (10km), May 2011
p49430
sbNNNNNg8
(g9
g10
NtRp49431
(dp49432
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49433
sbg8
(g23
g10
NtRp49434
(dp49435
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49436
sbNg8
(g9
g10
NtRp49437
(dp49438
g13
Nsg14
Nsg15
VFALSE
p49439
sbNNNg8
(g9
g10
NtRp49440
(dp49441
g13
Nsg14
Nsg15
VFALSE
p49442
sbNNg8
(g9
g10
NtRp49443
(dp49444
g13
Nsg14
Nsg15
VFALSE
p49445
sbNNg8
(g9
g10
NtRp49446
(dp49447
g13
Nsg14
Nsg15
VFALSE
p49448
sbNg8
(g9
g10
NtRp49449
(dp49450
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a25da98d-0df0-420a-bc27-1c486376c72b.png
p49451
sbg8
(g9
g10
NtRp49452
(dp49453
g13
Nsg14
Nsg15
VEPSG:3035
p49454
sbg8
(g9
g10
NtRp49455
(dp49456
g13
Nsg14
Nsg15
V2019-06-04
p49457
sbNNNg8
(g9
g10
NtRp49458
(dp49459
g13
Nsg14
Nsg15
Vvector
p49460
sbg8
(g9
g10
NtRp49461
(dp49462
g13
Nsg14
Nsg15
VSHP
p49463
sbNg8
(g9
g10
NtRp49464
(dp49465
g13
Nsg14
Nsg15
V10000m
p49466
sbNg8
(g9
g10
NtRp49467
(dp49468
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49469
sbg8
(g9
g10
NtRp49470
(dp49471
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a25da98d-0df0-420a-bc27-1c486376c72b
p49472
sbg8
(g9
g10
NtRp49473
(dp49474
g13
Nsg14
g74
sg15
V2011
p49475
sbg8
(g9
g10
NtRp49476
(dp49477
g13
Nsg14
g74
sg15
V2011
p49478
sbg8
(g9
g10
NtRp49479
(dp49480
g13
Nsg14
Nsg15
VFALSE
p49481
sbg8
(g9
g10
NtRp49482
(dp49483
g13
Nsg14
Nsg15
VGeographical grid systems
p49484
sbg8
(g9
g10
NtRp49485
(dp49486
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49487
sbg8
(g9
g10
NtRp49488
(dp49489
g13
Nsg14
Nsg15
VFALSE
p49490
sbg8
(g9
g10
NtRp49491
(dp49492
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49493
sbg8
(g9
g10
NtRp49494
(dp49495
g13
Nsg14
Nsg15
VFALSE
p49496
sbNNNNNNNg8
(g9
g10
NtRp49497
(dp49498
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49499
(dp49500
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49501
(dp49502
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-be_2011
p49503
sbNg8
(g9
g10
NtRp49504
(dp49505
g13
Nsg14
Nsg15
Vobsolete
p49506
sbtp49507
a(g8
(g9
g10
NtRp49508
(dp49509
g13
Nsg14
Nsg15
Va2d18e0e-be68-4a9a-ae29-371e8b4f7ac9
p49510
sbNg8
(g9
g10
NtRp49511
(dp49512
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (100km), May 2011
p49513
sbNNNNNg8
(g9
g10
NtRp49514
(dp49515
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49516
sbg8
(g23
g10
NtRp49517
(dp49518
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49519
sbNg8
(g9
g10
NtRp49520
(dp49521
g13
Nsg14
Nsg15
VFALSE
p49522
sbNNNg8
(g9
g10
NtRp49523
(dp49524
g13
Nsg14
Nsg15
VFALSE
p49525
sbNNg8
(g9
g10
NtRp49526
(dp49527
g13
Nsg14
Nsg15
VFALSE
p49528
sbNNg8
(g9
g10
NtRp49529
(dp49530
g13
Nsg14
Nsg15
VFALSE
p49531
sbNg8
(g9
g10
NtRp49532
(dp49533
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9.png
p49534
sbg8
(g9
g10
NtRp49535
(dp49536
g13
Nsg14
Nsg15
VEPSG:3035
p49537
sbg8
(g9
g10
NtRp49538
(dp49539
g13
Nsg14
Nsg15
V2019-06-04
p49540
sbNNNg8
(g9
g10
NtRp49541
(dp49542
g13
Nsg14
Nsg15
Vvector
p49543
sbg8
(g9
g10
NtRp49544
(dp49545
g13
Nsg14
Nsg15
VSHP
p49546
sbNg8
(g9
g10
NtRp49547
(dp49548
g13
Nsg14
Nsg15
V100000m
p49549
sbNg8
(g9
g10
NtRp49550
(dp49551
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49552
sbg8
(g9
g10
NtRp49553
(dp49554
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9
p49555
sbg8
(g9
g10
NtRp49556
(dp49557
g13
Nsg14
g74
sg15
V2011
p49558
sbg8
(g9
g10
NtRp49559
(dp49560
g13
Nsg14
g74
sg15
V2011
p49561
sbg8
(g9
g10
NtRp49562
(dp49563
g13
Nsg14
Nsg15
VFALSE
p49564
sbg8
(g9
g10
NtRp49565
(dp49566
g13
Nsg14
Nsg15
VGeographical grid systems
p49567
sbg8
(g9
g10
NtRp49568
(dp49569
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49570
sbg8
(g9
g10
NtRp49571
(dp49572
g13
Nsg14
Nsg15
VFALSE
p49573
sbg8
(g9
g10
NtRp49574
(dp49575
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49576
sbg8
(g9
g10
NtRp49577
(dp49578
g13
Nsg14
Nsg15
VFALSE
p49579
sbNNNNNNNg8
(g9
g10
NtRp49580
(dp49581
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49582
(dp49583
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49584
(dp49585
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-hr_2011
p49586
sbNg8
(g9
g10
NtRp49587
(dp49588
g13
Nsg14
Nsg15
Vobsolete
p49589
sbtp49590
a(g8
(g9
g10
NtRp49591
(dp49592
g13
Nsg14
Nsg15
V0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0
p49593
sbNg8
(g9
g10
NtRp49594
(dp49595
g13
Nsg14
Nsg15
VEEA reference grid for Estonia (100km), May 2011
p49596
sbNNNNNg8
(g9
g10
NtRp49597
(dp49598
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49599
sbg8
(g23
g10
NtRp49600
(dp49601
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49602
sbNg8
(g9
g10
NtRp49603
(dp49604
g13
Nsg14
Nsg15
VFALSE
p49605
sbNNNg8
(g9
g10
NtRp49606
(dp49607
g13
Nsg14
Nsg15
VFALSE
p49608
sbNNg8
(g9
g10
NtRp49609
(dp49610
g13
Nsg14
Nsg15
VFALSE
p49611
sbNNg8
(g9
g10
NtRp49612
(dp49613
g13
Nsg14
Nsg15
VFALSE
p49614
sbNg8
(g9
g10
NtRp49615
(dp49616
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0.png
p49617
sbg8
(g9
g10
NtRp49618
(dp49619
g13
Nsg14
Nsg15
VEPSG:3035
p49620
sbg8
(g9
g10
NtRp49621
(dp49622
g13
Nsg14
Nsg15
V2019-06-04
p49623
sbNNNg8
(g9
g10
NtRp49624
(dp49625
g13
Nsg14
Nsg15
Vvector
p49626
sbg8
(g9
g10
NtRp49627
(dp49628
g13
Nsg14
Nsg15
VSHP
p49629
sbNg8
(g9
g10
NtRp49630
(dp49631
g13
Nsg14
Nsg15
V100000m
p49632
sbNg8
(g9
g10
NtRp49633
(dp49634
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49635
sbg8
(g9
g10
NtRp49636
(dp49637
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0
p49638
sbg8
(g9
g10
NtRp49639
(dp49640
g13
Nsg14
g74
sg15
V2011
p49641
sbg8
(g9
g10
NtRp49642
(dp49643
g13
Nsg14
g74
sg15
V2011
p49644
sbg8
(g9
g10
NtRp49645
(dp49646
g13
Nsg14
Nsg15
VFALSE
p49647
sbg8
(g9
g10
NtRp49648
(dp49649
g13
Nsg14
Nsg15
VGeographical grid systems
p49650
sbg8
(g9
g10
NtRp49651
(dp49652
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49653
sbg8
(g9
g10
NtRp49654
(dp49655
g13
Nsg14
Nsg15
VFALSE
p49656
sbg8
(g9
g10
NtRp49657
(dp49658
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49659
sbg8
(g9
g10
NtRp49660
(dp49661
g13
Nsg14
Nsg15
VFALSE
p49662
sbNNNNNNNg8
(g9
g10
NtRp49663
(dp49664
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49665
(dp49666
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49667
(dp49668
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ee_2011
p49669
sbNg8
(g9
g10
NtRp49670
(dp49671
g13
Nsg14
Nsg15
Vobsolete
p49672
sbtp49673
a(g8
(g9
g10
NtRp49674
(dp49675
g13
Nsg14
Nsg15
V20662887-fe38-4e2f-a37e-896141ddeb15
p49676
sbNg8
(g9
g10
NtRp49677
(dp49678
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (100km), May 2011
p49679
sbNNNNNg8
(g9
g10
NtRp49680
(dp49681
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49682
sbg8
(g23
g10
NtRp49683
(dp49684
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49685
sbNg8
(g9
g10
NtRp49686
(dp49687
g13
Nsg14
Nsg15
VFALSE
p49688
sbNNNg8
(g9
g10
NtRp49689
(dp49690
g13
Nsg14
Nsg15
VFALSE
p49691
sbNNg8
(g9
g10
NtRp49692
(dp49693
g13
Nsg14
Nsg15
VFALSE
p49694
sbNNg8
(g9
g10
NtRp49695
(dp49696
g13
Nsg14
Nsg15
VFALSE
p49697
sbNg8
(g9
g10
NtRp49698
(dp49699
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20662887-fe38-4e2f-a37e-896141ddeb15.png
p49700
sbg8
(g9
g10
NtRp49701
(dp49702
g13
Nsg14
Nsg15
VEPSG:3035
p49703
sbg8
(g9
g10
NtRp49704
(dp49705
g13
Nsg14
Nsg15
V2019-06-04
p49706
sbNNNg8
(g9
g10
NtRp49707
(dp49708
g13
Nsg14
Nsg15
Vvector
p49709
sbg8
(g9
g10
NtRp49710
(dp49711
g13
Nsg14
Nsg15
VSHP
p49712
sbNg8
(g9
g10
NtRp49713
(dp49714
g13
Nsg14
Nsg15
V100000m
p49715
sbNg8
(g9
g10
NtRp49716
(dp49717
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49718
sbg8
(g9
g10
NtRp49719
(dp49720
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20662887-fe38-4e2f-a37e-896141ddeb15
p49721
sbg8
(g9
g10
NtRp49722
(dp49723
g13
Nsg14
g74
sg15
V2011
p49724
sbg8
(g9
g10
NtRp49725
(dp49726
g13
Nsg14
g74
sg15
V2011
p49727
sbg8
(g9
g10
NtRp49728
(dp49729
g13
Nsg14
Nsg15
VFALSE
p49730
sbg8
(g9
g10
NtRp49731
(dp49732
g13
Nsg14
Nsg15
VGeographical grid systems
p49733
sbg8
(g9
g10
NtRp49734
(dp49735
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49736
sbg8
(g9
g10
NtRp49737
(dp49738
g13
Nsg14
Nsg15
VFALSE
p49739
sbg8
(g9
g10
NtRp49740
(dp49741
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49742
sbg8
(g9
g10
NtRp49743
(dp49744
g13
Nsg14
Nsg15
VFALSE
p49745
sbNNNNNNNg8
(g9
g10
NtRp49746
(dp49747
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49748
(dp49749
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49750
(dp49751
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt_2011
p49752
sbNg8
(g9
g10
NtRp49753
(dp49754
g13
Nsg14
Nsg15
Vobsolete
p49755
sbtp49756
a(g8
(g9
g10
NtRp49757
(dp49758
g13
Nsg14
Nsg15
V1538f933-943a-4c1c-ac63-a1978b1221e7
p49759
sbNg8
(g9
g10
NtRp49760
(dp49761
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (10km), May 2011
p49762
sbNNNNNg8
(g9
g10
NtRp49763
(dp49764
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49765
sbg8
(g23
g10
NtRp49766
(dp49767
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49768
sbNg8
(g9
g10
NtRp49769
(dp49770
g13
Nsg14
Nsg15
VFALSE
p49771
sbNNNg8
(g9
g10
NtRp49772
(dp49773
g13
Nsg14
Nsg15
VFALSE
p49774
sbNNg8
(g9
g10
NtRp49775
(dp49776
g13
Nsg14
Nsg15
VFALSE
p49777
sbNNg8
(g9
g10
NtRp49778
(dp49779
g13
Nsg14
Nsg15
VFALSE
p49780
sbNg8
(g9
g10
NtRp49781
(dp49782
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1538f933-943a-4c1c-ac63-a1978b1221e7.png
p49783
sbg8
(g9
g10
NtRp49784
(dp49785
g13
Nsg14
Nsg15
VEPSG:3035
p49786
sbg8
(g9
g10
NtRp49787
(dp49788
g13
Nsg14
Nsg15
V2019-06-04
p49789
sbNNNg8
(g9
g10
NtRp49790
(dp49791
g13
Nsg14
Nsg15
Vvector
p49792
sbg8
(g9
g10
NtRp49793
(dp49794
g13
Nsg14
Nsg15
VSHP
p49795
sbNg8
(g9
g10
NtRp49796
(dp49797
g13
Nsg14
Nsg15
V10000m
p49798
sbNg8
(g9
g10
NtRp49799
(dp49800
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49801
sbg8
(g9
g10
NtRp49802
(dp49803
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1538f933-943a-4c1c-ac63-a1978b1221e7
p49804
sbg8
(g9
g10
NtRp49805
(dp49806
g13
Nsg14
g74
sg15
V2011
p49807
sbg8
(g9
g10
NtRp49808
(dp49809
g13
Nsg14
g74
sg15
V2011
p49810
sbg8
(g9
g10
NtRp49811
(dp49812
g13
Nsg14
Nsg15
VFALSE
p49813
sbg8
(g9
g10
NtRp49814
(dp49815
g13
Nsg14
Nsg15
VGeographical grid systems
p49816
sbg8
(g9
g10
NtRp49817
(dp49818
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49819
sbg8
(g9
g10
NtRp49820
(dp49821
g13
Nsg14
Nsg15
VFALSE
p49822
sbg8
(g9
g10
NtRp49823
(dp49824
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49825
sbg8
(g9
g10
NtRp49826
(dp49827
g13
Nsg14
Nsg15
VFALSE
p49828
sbNNNNNNNg8
(g9
g10
NtRp49829
(dp49830
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49831
(dp49832
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49833
(dp49834
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-me_2011
p49835
sbNg8
(g9
g10
NtRp49836
(dp49837
g13
Nsg14
Nsg15
Vobsolete
p49838
sbtp49839
a(g8
(g9
g10
NtRp49840
(dp49841
g13
Nsg14
Nsg15
V62d67512-b22c-4728-a9ad-1c023cdd1a5a
p49842
sbNg8
(g9
g10
NtRp49843
(dp49844
g13
Nsg14
Nsg15
VEEA reference grid for Spain (1km), May 2011
p49845
sbNNNNNg8
(g9
g10
NtRp49846
(dp49847
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49848
sbg8
(g23
g10
NtRp49849
(dp49850
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49851
sbNg8
(g9
g10
NtRp49852
(dp49853
g13
Nsg14
Nsg15
VFALSE
p49854
sbNNNg8
(g9
g10
NtRp49855
(dp49856
g13
Nsg14
Nsg15
VFALSE
p49857
sbNNg8
(g9
g10
NtRp49858
(dp49859
g13
Nsg14
Nsg15
VFALSE
p49860
sbNNg8
(g9
g10
NtRp49861
(dp49862
g13
Nsg14
Nsg15
VFALSE
p49863
sbNg8
(g9
g10
NtRp49864
(dp49865
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/62d67512-b22c-4728-a9ad-1c023cdd1a5a.png
p49866
sbg8
(g9
g10
NtRp49867
(dp49868
g13
Nsg14
Nsg15
VEPSG:3035
p49869
sbg8
(g9
g10
NtRp49870
(dp49871
g13
Nsg14
Nsg15
V2019-06-04
p49872
sbNNNg8
(g9
g10
NtRp49873
(dp49874
g13
Nsg14
Nsg15
Vvector
p49875
sbg8
(g9
g10
NtRp49876
(dp49877
g13
Nsg14
Nsg15
VSHP
p49878
sbNg8
(g9
g10
NtRp49879
(dp49880
g13
Nsg14
Nsg15
V1000m
p49881
sbNg8
(g9
g10
NtRp49882
(dp49883
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49884
sbg8
(g9
g10
NtRp49885
(dp49886
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62d67512-b22c-4728-a9ad-1c023cdd1a5a
p49887
sbg8
(g9
g10
NtRp49888
(dp49889
g13
Nsg14
g74
sg15
V2011
p49890
sbg8
(g9
g10
NtRp49891
(dp49892
g13
Nsg14
g74
sg15
V2011
p49893
sbg8
(g9
g10
NtRp49894
(dp49895
g13
Nsg14
Nsg15
VFALSE
p49896
sbg8
(g9
g10
NtRp49897
(dp49898
g13
Nsg14
Nsg15
VGeographical grid systems
p49899
sbg8
(g9
g10
NtRp49900
(dp49901
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49902
sbg8
(g9
g10
NtRp49903
(dp49904
g13
Nsg14
Nsg15
VFALSE
p49905
sbg8
(g9
g10
NtRp49906
(dp49907
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49908
sbg8
(g9
g10
NtRp49909
(dp49910
g13
Nsg14
Nsg15
VFALSE
p49911
sbNNNNNNNg8
(g9
g10
NtRp49912
(dp49913
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49914
(dp49915
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49916
(dp49917
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-es_2011
p49918
sbNg8
(g9
g10
NtRp49919
(dp49920
g13
Nsg14
Nsg15
Vobsolete
p49921
sbtp49922
a(g8
(g9
g10
NtRp49923
(dp49924
g13
Nsg14
Nsg15
V4540ed52-66ff-468b-b832-b903872e3f13
p49925
sbNg8
(g9
g10
NtRp49926
(dp49927
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (1km), May 2011
p49928
sbNNNNNg8
(g9
g10
NtRp49929
(dp49930
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p49931
sbg8
(g23
g10
NtRp49932
(dp49933
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p49934
sbNg8
(g9
g10
NtRp49935
(dp49936
g13
Nsg14
Nsg15
VFALSE
p49937
sbNNNg8
(g9
g10
NtRp49938
(dp49939
g13
Nsg14
Nsg15
VFALSE
p49940
sbNNg8
(g9
g10
NtRp49941
(dp49942
g13
Nsg14
Nsg15
VFALSE
p49943
sbNNg8
(g9
g10
NtRp49944
(dp49945
g13
Nsg14
Nsg15
VFALSE
p49946
sbNg8
(g9
g10
NtRp49947
(dp49948
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4540ed52-66ff-468b-b832-b903872e3f13.png
p49949
sbg8
(g9
g10
NtRp49950
(dp49951
g13
Nsg14
Nsg15
VEPSG:3035
p49952
sbg8
(g9
g10
NtRp49953
(dp49954
g13
Nsg14
Nsg15
V2019-06-04
p49955
sbNNNg8
(g9
g10
NtRp49956
(dp49957
g13
Nsg14
Nsg15
Vvector
p49958
sbg8
(g9
g10
NtRp49959
(dp49960
g13
Nsg14
Nsg15
VSHP
p49961
sbNg8
(g9
g10
NtRp49962
(dp49963
g13
Nsg14
Nsg15
V1000m
p49964
sbNg8
(g9
g10
NtRp49965
(dp49966
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p49967
sbg8
(g9
g10
NtRp49968
(dp49969
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4540ed52-66ff-468b-b832-b903872e3f13
p49970
sbg8
(g9
g10
NtRp49971
(dp49972
g13
Nsg14
g74
sg15
V2011
p49973
sbg8
(g9
g10
NtRp49974
(dp49975
g13
Nsg14
g74
sg15
V2011
p49976
sbg8
(g9
g10
NtRp49977
(dp49978
g13
Nsg14
Nsg15
VFALSE
p49979
sbg8
(g9
g10
NtRp49980
(dp49981
g13
Nsg14
Nsg15
VGeographical grid systems
p49982
sbg8
(g9
g10
NtRp49983
(dp49984
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p49985
sbg8
(g9
g10
NtRp49986
(dp49987
g13
Nsg14
Nsg15
VFALSE
p49988
sbg8
(g9
g10
NtRp49989
(dp49990
g13
Nsg14
Nsg15
VEuropean Environment Agency
p49991
sbg8
(g9
g10
NtRp49992
(dp49993
g13
Nsg14
Nsg15
VFALSE
p49994
sbNNNNNNNg8
(g9
g10
NtRp49995
(dp49996
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp49997
(dp49998
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp49999
(dp50000
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-dk_2011
p50001
sbNg8
(g9
g10
NtRp50002
(dp50003
g13
Nsg14
Nsg15
Vobsolete
p50004
sbtp50005
a(g8
(g9
g10
NtRp50006
(dp50007
g13
Nsg14
Nsg15
V6227f089-cc93-4c8d-89b5-d06516b2bcdc
p50008
sbNg8
(g9
g10
NtRp50009
(dp50010
g13
Nsg14
Nsg15
VEEA reference grid for Norway (10km), May 2011
p50011
sbNNNNNg8
(g9
g10
NtRp50012
(dp50013
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50014
sbg8
(g23
g10
NtRp50015
(dp50016
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50017
sbNg8
(g9
g10
NtRp50018
(dp50019
g13
Nsg14
Nsg15
VFALSE
p50020
sbNNNg8
(g9
g10
NtRp50021
(dp50022
g13
Nsg14
Nsg15
VFALSE
p50023
sbNNg8
(g9
g10
NtRp50024
(dp50025
g13
Nsg14
Nsg15
VFALSE
p50026
sbNNg8
(g9
g10
NtRp50027
(dp50028
g13
Nsg14
Nsg15
VFALSE
p50029
sbNg8
(g9
g10
NtRp50030
(dp50031
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6227f089-cc93-4c8d-89b5-d06516b2bcdc.png
p50032
sbg8
(g9
g10
NtRp50033
(dp50034
g13
Nsg14
Nsg15
VEPSG:3035
p50035
sbg8
(g9
g10
NtRp50036
(dp50037
g13
Nsg14
Nsg15
V2019-06-04
p50038
sbNNNg8
(g9
g10
NtRp50039
(dp50040
g13
Nsg14
Nsg15
Vvector
p50041
sbg8
(g9
g10
NtRp50042
(dp50043
g13
Nsg14
Nsg15
VSHP
p50044
sbNg8
(g9
g10
NtRp50045
(dp50046
g13
Nsg14
Nsg15
V10000m
p50047
sbNg8
(g9
g10
NtRp50048
(dp50049
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50050
sbg8
(g9
g10
NtRp50051
(dp50052
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6227f089-cc93-4c8d-89b5-d06516b2bcdc
p50053
sbg8
(g9
g10
NtRp50054
(dp50055
g13
Nsg14
g74
sg15
V2011
p50056
sbg8
(g9
g10
NtRp50057
(dp50058
g13
Nsg14
g74
sg15
V2011
p50059
sbg8
(g9
g10
NtRp50060
(dp50061
g13
Nsg14
Nsg15
VFALSE
p50062
sbg8
(g9
g10
NtRp50063
(dp50064
g13
Nsg14
Nsg15
VGeographical grid systems
p50065
sbg8
(g9
g10
NtRp50066
(dp50067
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50068
sbg8
(g9
g10
NtRp50069
(dp50070
g13
Nsg14
Nsg15
VFALSE
p50071
sbg8
(g9
g10
NtRp50072
(dp50073
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50074
sbg8
(g9
g10
NtRp50075
(dp50076
g13
Nsg14
Nsg15
VFALSE
p50077
sbNNNNNNNg8
(g9
g10
NtRp50078
(dp50079
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50080
(dp50081
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50082
(dp50083
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-no_2011
p50084
sbNg8
(g9
g10
NtRp50085
(dp50086
g13
Nsg14
Nsg15
Vobsolete
p50087
sbtp50088
a(g8
(g9
g10
NtRp50089
(dp50090
g13
Nsg14
Nsg15
V704d50fc-87ba-45b0-acca-5959f28fc010
p50091
sbNg8
(g9
g10
NtRp50092
(dp50093
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (1km), May 2011
p50094
sbNNNNNg8
(g9
g10
NtRp50095
(dp50096
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50097
sbg8
(g23
g10
NtRp50098
(dp50099
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50100
sbNg8
(g9
g10
NtRp50101
(dp50102
g13
Nsg14
Nsg15
VFALSE
p50103
sbNNNg8
(g9
g10
NtRp50104
(dp50105
g13
Nsg14
Nsg15
VFALSE
p50106
sbNNg8
(g9
g10
NtRp50107
(dp50108
g13
Nsg14
Nsg15
VFALSE
p50109
sbNNg8
(g9
g10
NtRp50110
(dp50111
g13
Nsg14
Nsg15
VFALSE
p50112
sbNg8
(g9
g10
NtRp50113
(dp50114
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/704d50fc-87ba-45b0-acca-5959f28fc010.png
p50115
sbg8
(g9
g10
NtRp50116
(dp50117
g13
Nsg14
Nsg15
VEPSG:3035
p50118
sbg8
(g9
g10
NtRp50119
(dp50120
g13
Nsg14
Nsg15
V2019-06-04
p50121
sbNNNg8
(g9
g10
NtRp50122
(dp50123
g13
Nsg14
Nsg15
Vvector
p50124
sbg8
(g9
g10
NtRp50125
(dp50126
g13
Nsg14
Nsg15
VSHP
p50127
sbNg8
(g9
g10
NtRp50128
(dp50129
g13
Nsg14
Nsg15
V1000m
p50130
sbNg8
(g9
g10
NtRp50131
(dp50132
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50133
sbg8
(g9
g10
NtRp50134
(dp50135
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/704d50fc-87ba-45b0-acca-5959f28fc010
p50136
sbg8
(g9
g10
NtRp50137
(dp50138
g13
Nsg14
g74
sg15
V2011
p50139
sbg8
(g9
g10
NtRp50140
(dp50141
g13
Nsg14
g74
sg15
V2011
p50142
sbg8
(g9
g10
NtRp50143
(dp50144
g13
Nsg14
Nsg15
VFALSE
p50145
sbg8
(g9
g10
NtRp50146
(dp50147
g13
Nsg14
Nsg15
VGeographical grid systems
p50148
sbg8
(g9
g10
NtRp50149
(dp50150
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50151
sbg8
(g9
g10
NtRp50152
(dp50153
g13
Nsg14
Nsg15
VFALSE
p50154
sbg8
(g9
g10
NtRp50155
(dp50156
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50157
sbg8
(g9
g10
NtRp50158
(dp50159
g13
Nsg14
Nsg15
VFALSE
p50160
sbNNNNNNNg8
(g9
g10
NtRp50161
(dp50162
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50163
(dp50164
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50165
(dp50166
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-be_2011
p50167
sbNg8
(g9
g10
NtRp50168
(dp50169
g13
Nsg14
Nsg15
Vobsolete
p50170
sbtp50171
a(g8
(g9
g10
NtRp50172
(dp50173
g13
Nsg14
Nsg15
V236b655e-4e5f-48dd-9428-820ef1f467a8
p50174
sbNg8
(g9
g10
NtRp50175
(dp50176
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (100km), May 2011
p50177
sbNNNNNg8
(g9
g10
NtRp50178
(dp50179
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50180
sbg8
(g23
g10
NtRp50181
(dp50182
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50183
sbNg8
(g9
g10
NtRp50184
(dp50185
g13
Nsg14
Nsg15
VFALSE
p50186
sbNNNg8
(g9
g10
NtRp50187
(dp50188
g13
Nsg14
Nsg15
VFALSE
p50189
sbNNg8
(g9
g10
NtRp50190
(dp50191
g13
Nsg14
Nsg15
VFALSE
p50192
sbNNg8
(g9
g10
NtRp50193
(dp50194
g13
Nsg14
Nsg15
VFALSE
p50195
sbNg8
(g9
g10
NtRp50196
(dp50197
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/236b655e-4e5f-48dd-9428-820ef1f467a8.png
p50198
sbg8
(g9
g10
NtRp50199
(dp50200
g13
Nsg14
Nsg15
VEPSG:3035
p50201
sbg8
(g9
g10
NtRp50202
(dp50203
g13
Nsg14
Nsg15
V2019-06-04
p50204
sbNNNg8
(g9
g10
NtRp50205
(dp50206
g13
Nsg14
Nsg15
Vvector
p50207
sbg8
(g9
g10
NtRp50208
(dp50209
g13
Nsg14
Nsg15
VSHP
p50210
sbNg8
(g9
g10
NtRp50211
(dp50212
g13
Nsg14
Nsg15
V100000m
p50213
sbNg8
(g9
g10
NtRp50214
(dp50215
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50216
sbg8
(g9
g10
NtRp50217
(dp50218
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/236b655e-4e5f-48dd-9428-820ef1f467a8
p50219
sbg8
(g9
g10
NtRp50220
(dp50221
g13
Nsg14
g74
sg15
V2011
p50222
sbg8
(g9
g10
NtRp50223
(dp50224
g13
Nsg14
g74
sg15
V2011
p50225
sbg8
(g9
g10
NtRp50226
(dp50227
g13
Nsg14
Nsg15
VFALSE
p50228
sbg8
(g9
g10
NtRp50229
(dp50230
g13
Nsg14
Nsg15
VGeographical grid systems
p50231
sbg8
(g9
g10
NtRp50232
(dp50233
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50234
sbg8
(g9
g10
NtRp50235
(dp50236
g13
Nsg14
Nsg15
VFALSE
p50237
sbg8
(g9
g10
NtRp50238
(dp50239
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50240
sbg8
(g9
g10
NtRp50241
(dp50242
g13
Nsg14
Nsg15
VFALSE
p50243
sbNNNNNNNg8
(g9
g10
NtRp50244
(dp50245
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50246
(dp50247
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50248
(dp50249
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-bg_2011
p50250
sbNg8
(g9
g10
NtRp50251
(dp50252
g13
Nsg14
Nsg15
Vobsolete
p50253
sbtp50254
a(g8
(g9
g10
NtRp50255
(dp50256
g13
Nsg14
Nsg15
V7f848380-750a-4928-ab3c-359d49932040
p50257
sbNg8
(g9
g10
NtRp50258
(dp50259
g13
Nsg14
Nsg15
VEEA reference grid for Albania (10km), May 2011
p50260
sbNNNNNg8
(g9
g10
NtRp50261
(dp50262
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50263
sbg8
(g23
g10
NtRp50264
(dp50265
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50266
sbNg8
(g9
g10
NtRp50267
(dp50268
g13
Nsg14
Nsg15
VFALSE
p50269
sbNNNg8
(g9
g10
NtRp50270
(dp50271
g13
Nsg14
Nsg15
VFALSE
p50272
sbNNg8
(g9
g10
NtRp50273
(dp50274
g13
Nsg14
Nsg15
VFALSE
p50275
sbNNg8
(g9
g10
NtRp50276
(dp50277
g13
Nsg14
Nsg15
VFALSE
p50278
sbNg8
(g9
g10
NtRp50279
(dp50280
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f848380-750a-4928-ab3c-359d49932040.png
p50281
sbg8
(g9
g10
NtRp50282
(dp50283
g13
Nsg14
Nsg15
VEPSG:3035
p50284
sbg8
(g9
g10
NtRp50285
(dp50286
g13
Nsg14
Nsg15
V2019-06-04
p50287
sbNNNg8
(g9
g10
NtRp50288
(dp50289
g13
Nsg14
Nsg15
Vvector
p50290
sbg8
(g9
g10
NtRp50291
(dp50292
g13
Nsg14
Nsg15
VSHP
p50293
sbNg8
(g9
g10
NtRp50294
(dp50295
g13
Nsg14
Nsg15
V10000m
p50296
sbNg8
(g9
g10
NtRp50297
(dp50298
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50299
sbg8
(g9
g10
NtRp50300
(dp50301
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f848380-750a-4928-ab3c-359d49932040
p50302
sbg8
(g9
g10
NtRp50303
(dp50304
g13
Nsg14
g74
sg15
V2011
p50305
sbg8
(g9
g10
NtRp50306
(dp50307
g13
Nsg14
g74
sg15
V2011
p50308
sbg8
(g9
g10
NtRp50309
(dp50310
g13
Nsg14
Nsg15
VFALSE
p50311
sbg8
(g9
g10
NtRp50312
(dp50313
g13
Nsg14
Nsg15
VGeographical grid systems
p50314
sbg8
(g9
g10
NtRp50315
(dp50316
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50317
sbg8
(g9
g10
NtRp50318
(dp50319
g13
Nsg14
Nsg15
VFALSE
p50320
sbg8
(g9
g10
NtRp50321
(dp50322
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50323
sbg8
(g9
g10
NtRp50324
(dp50325
g13
Nsg14
Nsg15
VFALSE
p50326
sbNNNNNNNg8
(g9
g10
NtRp50327
(dp50328
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50329
(dp50330
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50331
(dp50332
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-al_2011
p50333
sbNg8
(g9
g10
NtRp50334
(dp50335
g13
Nsg14
Nsg15
Vobsolete
p50336
sbtp50337
a(g8
(g9
g10
NtRp50338
(dp50339
g13
Nsg14
Nsg15
V1fb349ec-84d9-46ee-b361-facb4e3a5251
p50340
sbNg8
(g9
g10
NtRp50341
(dp50342
g13
Nsg14
Nsg15
VEEA reference grid for France (10km), May 2011
p50343
sbNNNNNg8
(g9
g10
NtRp50344
(dp50345
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50346
sbg8
(g23
g10
NtRp50347
(dp50348
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50349
sbNg8
(g9
g10
NtRp50350
(dp50351
g13
Nsg14
Nsg15
VFALSE
p50352
sbNNNg8
(g9
g10
NtRp50353
(dp50354
g13
Nsg14
Nsg15
VFALSE
p50355
sbNNg8
(g9
g10
NtRp50356
(dp50357
g13
Nsg14
Nsg15
VFALSE
p50358
sbNNg8
(g9
g10
NtRp50359
(dp50360
g13
Nsg14
Nsg15
VFALSE
p50361
sbNg8
(g9
g10
NtRp50362
(dp50363
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fb349ec-84d9-46ee-b361-facb4e3a5251.png
p50364
sbg8
(g9
g10
NtRp50365
(dp50366
g13
Nsg14
Nsg15
VEPSG:3035
p50367
sbg8
(g9
g10
NtRp50368
(dp50369
g13
Nsg14
Nsg15
V2019-06-04
p50370
sbNNNg8
(g9
g10
NtRp50371
(dp50372
g13
Nsg14
Nsg15
Vvector
p50373
sbg8
(g9
g10
NtRp50374
(dp50375
g13
Nsg14
Nsg15
VSHP
p50376
sbNg8
(g9
g10
NtRp50377
(dp50378
g13
Nsg14
Nsg15
V10000m
p50379
sbNg8
(g9
g10
NtRp50380
(dp50381
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50382
sbg8
(g9
g10
NtRp50383
(dp50384
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fb349ec-84d9-46ee-b361-facb4e3a5251
p50385
sbg8
(g9
g10
NtRp50386
(dp50387
g13
Nsg14
g74
sg15
V2011
p50388
sbg8
(g9
g10
NtRp50389
(dp50390
g13
Nsg14
g74
sg15
V2011
p50391
sbg8
(g9
g10
NtRp50392
(dp50393
g13
Nsg14
Nsg15
VFALSE
p50394
sbg8
(g9
g10
NtRp50395
(dp50396
g13
Nsg14
Nsg15
VGeographical grid systems
p50397
sbg8
(g9
g10
NtRp50398
(dp50399
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50400
sbg8
(g9
g10
NtRp50401
(dp50402
g13
Nsg14
Nsg15
VFALSE
p50403
sbg8
(g9
g10
NtRp50404
(dp50405
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50406
sbg8
(g9
g10
NtRp50407
(dp50408
g13
Nsg14
Nsg15
VFALSE
p50409
sbNNNNNNNg8
(g9
g10
NtRp50410
(dp50411
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50412
(dp50413
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50414
(dp50415
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-fr_2011
p50416
sbNg8
(g9
g10
NtRp50417
(dp50418
g13
Nsg14
Nsg15
Vobsolete
p50419
sbtp50420
a(g8
(g9
g10
NtRp50421
(dp50422
g13
Nsg14
Nsg15
V74d822c2-db74-4438-8610-5a2e0426adb8
p50423
sbNg8
(g9
g10
NtRp50424
(dp50425
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (100km), May 2011
p50426
sbNNNNNg8
(g9
g10
NtRp50427
(dp50428
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50429
sbg8
(g23
g10
NtRp50430
(dp50431
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50432
sbNg8
(g9
g10
NtRp50433
(dp50434
g13
Nsg14
Nsg15
VFALSE
p50435
sbNNNg8
(g9
g10
NtRp50436
(dp50437
g13
Nsg14
Nsg15
VFALSE
p50438
sbNNg8
(g9
g10
NtRp50439
(dp50440
g13
Nsg14
Nsg15
VFALSE
p50441
sbNNg8
(g9
g10
NtRp50442
(dp50443
g13
Nsg14
Nsg15
VFALSE
p50444
sbNg8
(g9
g10
NtRp50445
(dp50446
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74d822c2-db74-4438-8610-5a2e0426adb8.png
p50447
sbg8
(g9
g10
NtRp50448
(dp50449
g13
Nsg14
Nsg15
VEPSG:3035
p50450
sbg8
(g9
g10
NtRp50451
(dp50452
g13
Nsg14
Nsg15
V2019-06-04
p50453
sbNNNg8
(g9
g10
NtRp50454
(dp50455
g13
Nsg14
Nsg15
Vvector
p50456
sbg8
(g9
g10
NtRp50457
(dp50458
g13
Nsg14
Nsg15
VSHP
p50459
sbNg8
(g9
g10
NtRp50460
(dp50461
g13
Nsg14
Nsg15
V100000m
p50462
sbNg8
(g9
g10
NtRp50463
(dp50464
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50465
sbg8
(g9
g10
NtRp50466
(dp50467
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74d822c2-db74-4438-8610-5a2e0426adb8
p50468
sbg8
(g9
g10
NtRp50469
(dp50470
g13
Nsg14
g74
sg15
V2011
p50471
sbg8
(g9
g10
NtRp50472
(dp50473
g13
Nsg14
g74
sg15
V2011
p50474
sbg8
(g9
g10
NtRp50475
(dp50476
g13
Nsg14
Nsg15
VFALSE
p50477
sbg8
(g9
g10
NtRp50478
(dp50479
g13
Nsg14
Nsg15
VGeographical grid systems
p50480
sbg8
(g9
g10
NtRp50481
(dp50482
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50483
sbg8
(g9
g10
NtRp50484
(dp50485
g13
Nsg14
Nsg15
VFALSE
p50486
sbg8
(g9
g10
NtRp50487
(dp50488
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50489
sbg8
(g9
g10
NtRp50490
(dp50491
g13
Nsg14
Nsg15
VFALSE
p50492
sbNNNNNNNg8
(g9
g10
NtRp50493
(dp50494
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50495
(dp50496
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50497
(dp50498
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-nl_2011
p50499
sbNg8
(g9
g10
NtRp50500
(dp50501
g13
Nsg14
Nsg15
Vobsolete
p50502
sbtp50503
a(g8
(g9
g10
NtRp50504
(dp50505
g13
Nsg14
Nsg15
Ve4a9d0cd-6c71-4c54-b8e5-554f861b1987
p50506
sbNg8
(g9
g10
NtRp50507
(dp50508
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (1km), May 2011
p50509
sbNNNNNg8
(g9
g10
NtRp50510
(dp50511
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50512
sbg8
(g23
g10
NtRp50513
(dp50514
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50515
sbNg8
(g9
g10
NtRp50516
(dp50517
g13
Nsg14
Nsg15
VFALSE
p50518
sbNNNg8
(g9
g10
NtRp50519
(dp50520
g13
Nsg14
Nsg15
VFALSE
p50521
sbNNg8
(g9
g10
NtRp50522
(dp50523
g13
Nsg14
Nsg15
VFALSE
p50524
sbNNg8
(g9
g10
NtRp50525
(dp50526
g13
Nsg14
Nsg15
VFALSE
p50527
sbNg8
(g9
g10
NtRp50528
(dp50529
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4a9d0cd-6c71-4c54-b8e5-554f861b1987.png
p50530
sbg8
(g9
g10
NtRp50531
(dp50532
g13
Nsg14
Nsg15
VEPSG:3035
p50533
sbg8
(g9
g10
NtRp50534
(dp50535
g13
Nsg14
Nsg15
V2019-06-04
p50536
sbNNNg8
(g9
g10
NtRp50537
(dp50538
g13
Nsg14
Nsg15
Vvector
p50539
sbg8
(g9
g10
NtRp50540
(dp50541
g13
Nsg14
Nsg15
VSHP
p50542
sbNg8
(g9
g10
NtRp50543
(dp50544
g13
Nsg14
Nsg15
V1000m
p50545
sbNg8
(g9
g10
NtRp50546
(dp50547
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50548
sbg8
(g9
g10
NtRp50549
(dp50550
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4a9d0cd-6c71-4c54-b8e5-554f861b1987
p50551
sbg8
(g9
g10
NtRp50552
(dp50553
g13
Nsg14
g74
sg15
V2011
p50554
sbg8
(g9
g10
NtRp50555
(dp50556
g13
Nsg14
g74
sg15
V2011
p50557
sbg8
(g9
g10
NtRp50558
(dp50559
g13
Nsg14
Nsg15
VFALSE
p50560
sbg8
(g9
g10
NtRp50561
(dp50562
g13
Nsg14
Nsg15
VGeographical grid systems
p50563
sbg8
(g9
g10
NtRp50564
(dp50565
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50566
sbg8
(g9
g10
NtRp50567
(dp50568
g13
Nsg14
Nsg15
VFALSE
p50569
sbg8
(g9
g10
NtRp50570
(dp50571
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50572
sbg8
(g9
g10
NtRp50573
(dp50574
g13
Nsg14
Nsg15
VFALSE
p50575
sbNNNNNNNg8
(g9
g10
NtRp50576
(dp50577
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50578
(dp50579
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50580
(dp50581
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-bg_2011
p50582
sbNg8
(g9
g10
NtRp50583
(dp50584
g13
Nsg14
Nsg15
Vobsolete
p50585
sbtp50586
a(g8
(g9
g10
NtRp50587
(dp50588
g13
Nsg14
Nsg15
Vc2619c28-9a17-4377-bfa6-5ef998f9eaca
p50589
sbNg8
(g9
g10
NtRp50590
(dp50591
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (100km), May 2011
p50592
sbNNNNNg8
(g9
g10
NtRp50593
(dp50594
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50595
sbg8
(g23
g10
NtRp50596
(dp50597
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50598
sbNg8
(g9
g10
NtRp50599
(dp50600
g13
Nsg14
Nsg15
VFALSE
p50601
sbNNNg8
(g9
g10
NtRp50602
(dp50603
g13
Nsg14
Nsg15
VFALSE
p50604
sbNNg8
(g9
g10
NtRp50605
(dp50606
g13
Nsg14
Nsg15
VFALSE
p50607
sbNNg8
(g9
g10
NtRp50608
(dp50609
g13
Nsg14
Nsg15
VFALSE
p50610
sbNg8
(g9
g10
NtRp50611
(dp50612
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2619c28-9a17-4377-bfa6-5ef998f9eaca.png
p50613
sbg8
(g9
g10
NtRp50614
(dp50615
g13
Nsg14
Nsg15
VEPSG:3035
p50616
sbg8
(g9
g10
NtRp50617
(dp50618
g13
Nsg14
Nsg15
V2019-06-04
p50619
sbNNNg8
(g9
g10
NtRp50620
(dp50621
g13
Nsg14
Nsg15
Vvector
p50622
sbg8
(g9
g10
NtRp50623
(dp50624
g13
Nsg14
Nsg15
VSHP
p50625
sbNg8
(g9
g10
NtRp50626
(dp50627
g13
Nsg14
Nsg15
V100000m
p50628
sbNg8
(g9
g10
NtRp50629
(dp50630
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50631
sbg8
(g9
g10
NtRp50632
(dp50633
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2619c28-9a17-4377-bfa6-5ef998f9eaca
p50634
sbg8
(g9
g10
NtRp50635
(dp50636
g13
Nsg14
g74
sg15
V2011
p50637
sbg8
(g9
g10
NtRp50638
(dp50639
g13
Nsg14
g74
sg15
V2011
p50640
sbg8
(g9
g10
NtRp50641
(dp50642
g13
Nsg14
Nsg15
VFALSE
p50643
sbg8
(g9
g10
NtRp50644
(dp50645
g13
Nsg14
Nsg15
VGeographical grid systems
p50646
sbg8
(g9
g10
NtRp50647
(dp50648
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50649
sbg8
(g9
g10
NtRp50650
(dp50651
g13
Nsg14
Nsg15
VFALSE
p50652
sbg8
(g9
g10
NtRp50653
(dp50654
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50655
sbg8
(g9
g10
NtRp50656
(dp50657
g13
Nsg14
Nsg15
VFALSE
p50658
sbNNNNNNNg8
(g9
g10
NtRp50659
(dp50660
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50661
(dp50662
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50663
(dp50664
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-cz_2011
p50665
sbNg8
(g9
g10
NtRp50666
(dp50667
g13
Nsg14
Nsg15
Vobsolete
p50668
sbtp50669
a(g8
(g9
g10
NtRp50670
(dp50671
g13
Nsg14
Nsg15
V6aa829af-26f1-4f60-8073-f3704be4b422
p50672
sbNg8
(g9
g10
NtRp50673
(dp50674
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (1km), May 2011
p50675
sbNNNNNg8
(g9
g10
NtRp50676
(dp50677
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50678
sbg8
(g23
g10
NtRp50679
(dp50680
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50681
sbNg8
(g9
g10
NtRp50682
(dp50683
g13
Nsg14
Nsg15
VFALSE
p50684
sbNNNg8
(g9
g10
NtRp50685
(dp50686
g13
Nsg14
Nsg15
VFALSE
p50687
sbNNg8
(g9
g10
NtRp50688
(dp50689
g13
Nsg14
Nsg15
VFALSE
p50690
sbNNg8
(g9
g10
NtRp50691
(dp50692
g13
Nsg14
Nsg15
VFALSE
p50693
sbNg8
(g9
g10
NtRp50694
(dp50695
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6aa829af-26f1-4f60-8073-f3704be4b422.png
p50696
sbg8
(g9
g10
NtRp50697
(dp50698
g13
Nsg14
Nsg15
VEPSG:3035
p50699
sbg8
(g9
g10
NtRp50700
(dp50701
g13
Nsg14
Nsg15
V2019-06-04
p50702
sbNNNg8
(g9
g10
NtRp50703
(dp50704
g13
Nsg14
Nsg15
Vvector
p50705
sbg8
(g9
g10
NtRp50706
(dp50707
g13
Nsg14
Nsg15
VSHP
p50708
sbNg8
(g9
g10
NtRp50709
(dp50710
g13
Nsg14
Nsg15
V1000m
p50711
sbNg8
(g9
g10
NtRp50712
(dp50713
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50714
sbg8
(g9
g10
NtRp50715
(dp50716
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6aa829af-26f1-4f60-8073-f3704be4b422
p50717
sbg8
(g9
g10
NtRp50718
(dp50719
g13
Nsg14
g74
sg15
V2011
p50720
sbg8
(g9
g10
NtRp50721
(dp50722
g13
Nsg14
g74
sg15
V2011
p50723
sbg8
(g9
g10
NtRp50724
(dp50725
g13
Nsg14
Nsg15
VFALSE
p50726
sbg8
(g9
g10
NtRp50727
(dp50728
g13
Nsg14
Nsg15
VGeographical grid systems
p50729
sbg8
(g9
g10
NtRp50730
(dp50731
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50732
sbg8
(g9
g10
NtRp50733
(dp50734
g13
Nsg14
Nsg15
VFALSE
p50735
sbg8
(g9
g10
NtRp50736
(dp50737
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50738
sbg8
(g9
g10
NtRp50739
(dp50740
g13
Nsg14
Nsg15
VFALSE
p50741
sbNNNNNNNg8
(g9
g10
NtRp50742
(dp50743
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50744
(dp50745
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50746
(dp50747
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lu_2011
p50748
sbNg8
(g9
g10
NtRp50749
(dp50750
g13
Nsg14
Nsg15
Vobsolete
p50751
sbtp50752
a(g8
(g9
g10
NtRp50753
(dp50754
g13
Nsg14
Nsg15
V343b9fe8-1e6a-410c-99df-2fae56ec47aa
p50755
sbNg8
(g9
g10
NtRp50756
(dp50757
g13
Nsg14
Nsg15
VEEA reference grid for Poland (10km), May 2011
p50758
sbNNNNNg8
(g9
g10
NtRp50759
(dp50760
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50761
sbg8
(g23
g10
NtRp50762
(dp50763
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50764
sbNg8
(g9
g10
NtRp50765
(dp50766
g13
Nsg14
Nsg15
VFALSE
p50767
sbNNNg8
(g9
g10
NtRp50768
(dp50769
g13
Nsg14
Nsg15
VFALSE
p50770
sbNNg8
(g9
g10
NtRp50771
(dp50772
g13
Nsg14
Nsg15
VFALSE
p50773
sbNNg8
(g9
g10
NtRp50774
(dp50775
g13
Nsg14
Nsg15
VFALSE
p50776
sbNg8
(g9
g10
NtRp50777
(dp50778
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/343b9fe8-1e6a-410c-99df-2fae56ec47aa.png
p50779
sbg8
(g9
g10
NtRp50780
(dp50781
g13
Nsg14
Nsg15
VEPSG:3035
p50782
sbg8
(g9
g10
NtRp50783
(dp50784
g13
Nsg14
Nsg15
V2019-06-04
p50785
sbNNNg8
(g9
g10
NtRp50786
(dp50787
g13
Nsg14
Nsg15
Vvector
p50788
sbg8
(g9
g10
NtRp50789
(dp50790
g13
Nsg14
Nsg15
VSHP
p50791
sbNg8
(g9
g10
NtRp50792
(dp50793
g13
Nsg14
Nsg15
V10000m
p50794
sbNg8
(g9
g10
NtRp50795
(dp50796
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50797
sbg8
(g9
g10
NtRp50798
(dp50799
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/343b9fe8-1e6a-410c-99df-2fae56ec47aa
p50800
sbg8
(g9
g10
NtRp50801
(dp50802
g13
Nsg14
g74
sg15
V2011
p50803
sbg8
(g9
g10
NtRp50804
(dp50805
g13
Nsg14
g74
sg15
V2011
p50806
sbg8
(g9
g10
NtRp50807
(dp50808
g13
Nsg14
Nsg15
VFALSE
p50809
sbg8
(g9
g10
NtRp50810
(dp50811
g13
Nsg14
Nsg15
VGeographical grid systems
p50812
sbg8
(g9
g10
NtRp50813
(dp50814
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50815
sbg8
(g9
g10
NtRp50816
(dp50817
g13
Nsg14
Nsg15
VFALSE
p50818
sbg8
(g9
g10
NtRp50819
(dp50820
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50821
sbg8
(g9
g10
NtRp50822
(dp50823
g13
Nsg14
Nsg15
VFALSE
p50824
sbNNNNNNNg8
(g9
g10
NtRp50825
(dp50826
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50827
(dp50828
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50829
(dp50830
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pl_2011
p50831
sbNg8
(g9
g10
NtRp50832
(dp50833
g13
Nsg14
Nsg15
Vobsolete
p50834
sbtp50835
a(g8
(g9
g10
NtRp50836
(dp50837
g13
Nsg14
Nsg15
V9e906444-2611-4d62-bb09-850bb4c27912
p50838
sbNg8
(g9
g10
NtRp50839
(dp50840
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (1km), May 2011
p50841
sbNNNNNg8
(g9
g10
NtRp50842
(dp50843
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50844
sbg8
(g23
g10
NtRp50845
(dp50846
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50847
sbNg8
(g9
g10
NtRp50848
(dp50849
g13
Nsg14
Nsg15
VFALSE
p50850
sbNNNg8
(g9
g10
NtRp50851
(dp50852
g13
Nsg14
Nsg15
VFALSE
p50853
sbNNg8
(g9
g10
NtRp50854
(dp50855
g13
Nsg14
Nsg15
VFALSE
p50856
sbNNg8
(g9
g10
NtRp50857
(dp50858
g13
Nsg14
Nsg15
VFALSE
p50859
sbNg8
(g9
g10
NtRp50860
(dp50861
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e906444-2611-4d62-bb09-850bb4c27912.png
p50862
sbg8
(g9
g10
NtRp50863
(dp50864
g13
Nsg14
Nsg15
VEPSG:3035
p50865
sbg8
(g9
g10
NtRp50866
(dp50867
g13
Nsg14
Nsg15
V2019-06-04
p50868
sbNNNg8
(g9
g10
NtRp50869
(dp50870
g13
Nsg14
Nsg15
Vvector
p50871
sbg8
(g9
g10
NtRp50872
(dp50873
g13
Nsg14
Nsg15
VSHP
p50874
sbNg8
(g9
g10
NtRp50875
(dp50876
g13
Nsg14
Nsg15
V1000m
p50877
sbNg8
(g9
g10
NtRp50878
(dp50879
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50880
sbg8
(g9
g10
NtRp50881
(dp50882
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e906444-2611-4d62-bb09-850bb4c27912
p50883
sbg8
(g9
g10
NtRp50884
(dp50885
g13
Nsg14
g74
sg15
V2011
p50886
sbg8
(g9
g10
NtRp50887
(dp50888
g13
Nsg14
g74
sg15
V2011
p50889
sbg8
(g9
g10
NtRp50890
(dp50891
g13
Nsg14
Nsg15
VFALSE
p50892
sbg8
(g9
g10
NtRp50893
(dp50894
g13
Nsg14
Nsg15
VGeographical grid systems
p50895
sbg8
(g9
g10
NtRp50896
(dp50897
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50898
sbg8
(g9
g10
NtRp50899
(dp50900
g13
Nsg14
Nsg15
VFALSE
p50901
sbg8
(g9
g10
NtRp50902
(dp50903
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50904
sbg8
(g9
g10
NtRp50905
(dp50906
g13
Nsg14
Nsg15
VFALSE
p50907
sbNNNNNNNg8
(g9
g10
NtRp50908
(dp50909
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50910
(dp50911
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50912
(dp50913
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-se_2011
p50914
sbNg8
(g9
g10
NtRp50915
(dp50916
g13
Nsg14
Nsg15
Vobsolete
p50917
sbtp50918
a(g8
(g9
g10
NtRp50919
(dp50920
g13
Nsg14
Nsg15
V28ca86ba-e5f0-4202-931d-9917b15b42b1
p50921
sbNg8
(g9
g10
NtRp50922
(dp50923
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (100km), May 2011
p50924
sbNNNNNg8
(g9
g10
NtRp50925
(dp50926
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p50927
sbg8
(g23
g10
NtRp50928
(dp50929
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p50930
sbNg8
(g9
g10
NtRp50931
(dp50932
g13
Nsg14
Nsg15
VFALSE
p50933
sbNNNg8
(g9
g10
NtRp50934
(dp50935
g13
Nsg14
Nsg15
VFALSE
p50936
sbNNg8
(g9
g10
NtRp50937
(dp50938
g13
Nsg14
Nsg15
VFALSE
p50939
sbNNg8
(g9
g10
NtRp50940
(dp50941
g13
Nsg14
Nsg15
VFALSE
p50942
sbNg8
(g9
g10
NtRp50943
(dp50944
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ca86ba-e5f0-4202-931d-9917b15b42b1.png
p50945
sbg8
(g9
g10
NtRp50946
(dp50947
g13
Nsg14
Nsg15
VEPSG:3035
p50948
sbg8
(g9
g10
NtRp50949
(dp50950
g13
Nsg14
Nsg15
V2019-06-04
p50951
sbNNNg8
(g9
g10
NtRp50952
(dp50953
g13
Nsg14
Nsg15
Vvector
p50954
sbg8
(g9
g10
NtRp50955
(dp50956
g13
Nsg14
Nsg15
VSHP
p50957
sbNg8
(g9
g10
NtRp50958
(dp50959
g13
Nsg14
Nsg15
V100000m
p50960
sbNg8
(g9
g10
NtRp50961
(dp50962
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p50963
sbg8
(g9
g10
NtRp50964
(dp50965
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ca86ba-e5f0-4202-931d-9917b15b42b1
p50966
sbg8
(g9
g10
NtRp50967
(dp50968
g13
Nsg14
g74
sg15
V2011
p50969
sbg8
(g9
g10
NtRp50970
(dp50971
g13
Nsg14
g74
sg15
V2011
p50972
sbg8
(g9
g10
NtRp50973
(dp50974
g13
Nsg14
Nsg15
VFALSE
p50975
sbg8
(g9
g10
NtRp50976
(dp50977
g13
Nsg14
Nsg15
VGeographical grid systems
p50978
sbg8
(g9
g10
NtRp50979
(dp50980
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p50981
sbg8
(g9
g10
NtRp50982
(dp50983
g13
Nsg14
Nsg15
VFALSE
p50984
sbg8
(g9
g10
NtRp50985
(dp50986
g13
Nsg14
Nsg15
VEuropean Environment Agency
p50987
sbg8
(g9
g10
NtRp50988
(dp50989
g13
Nsg14
Nsg15
VFALSE
p50990
sbNNNNNNNg8
(g9
g10
NtRp50991
(dp50992
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp50993
(dp50994
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp50995
(dp50996
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ba_2011
p50997
sbNg8
(g9
g10
NtRp50998
(dp50999
g13
Nsg14
Nsg15
Vobsolete
p51000
sbtp51001
a(g8
(g9
g10
NtRp51002
(dp51003
g13
Nsg14
Nsg15
V28b2644d-5478-490d-a462-d19b7c1ae3ae
p51004
sbNg8
(g9
g10
NtRp51005
(dp51006
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (1km), May 2011
p51007
sbNNNNNg8
(g9
g10
NtRp51008
(dp51009
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51010
sbg8
(g23
g10
NtRp51011
(dp51012
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51013
sbNg8
(g9
g10
NtRp51014
(dp51015
g13
Nsg14
Nsg15
VFALSE
p51016
sbNNNg8
(g9
g10
NtRp51017
(dp51018
g13
Nsg14
Nsg15
VFALSE
p51019
sbNNg8
(g9
g10
NtRp51020
(dp51021
g13
Nsg14
Nsg15
VFALSE
p51022
sbNNg8
(g9
g10
NtRp51023
(dp51024
g13
Nsg14
Nsg15
VFALSE
p51025
sbNg8
(g9
g10
NtRp51026
(dp51027
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b2644d-5478-490d-a462-d19b7c1ae3ae.png
p51028
sbg8
(g9
g10
NtRp51029
(dp51030
g13
Nsg14
Nsg15
VEPSG:3035
p51031
sbg8
(g9
g10
NtRp51032
(dp51033
g13
Nsg14
Nsg15
V2019-06-04
p51034
sbNNNg8
(g9
g10
NtRp51035
(dp51036
g13
Nsg14
Nsg15
Vvector
p51037
sbg8
(g9
g10
NtRp51038
(dp51039
g13
Nsg14
Nsg15
VSHP
p51040
sbNg8
(g9
g10
NtRp51041
(dp51042
g13
Nsg14
Nsg15
V1000m
p51043
sbNg8
(g9
g10
NtRp51044
(dp51045
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51046
sbg8
(g9
g10
NtRp51047
(dp51048
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b2644d-5478-490d-a462-d19b7c1ae3ae
p51049
sbg8
(g9
g10
NtRp51050
(dp51051
g13
Nsg14
g74
sg15
V2011
p51052
sbg8
(g9
g10
NtRp51053
(dp51054
g13
Nsg14
g74
sg15
V2011
p51055
sbg8
(g9
g10
NtRp51056
(dp51057
g13
Nsg14
Nsg15
VFALSE
p51058
sbg8
(g9
g10
NtRp51059
(dp51060
g13
Nsg14
Nsg15
VGeographical grid systems
p51061
sbg8
(g9
g10
NtRp51062
(dp51063
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51064
sbg8
(g9
g10
NtRp51065
(dp51066
g13
Nsg14
Nsg15
VFALSE
p51067
sbg8
(g9
g10
NtRp51068
(dp51069
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51070
sbg8
(g9
g10
NtRp51071
(dp51072
g13
Nsg14
Nsg15
VFALSE
p51073
sbNNNNNNNg8
(g9
g10
NtRp51074
(dp51075
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51076
(dp51077
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51078
(dp51079
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-si_2011
p51080
sbNg8
(g9
g10
NtRp51081
(dp51082
g13
Nsg14
Nsg15
Vobsolete
p51083
sbtp51084
a(g8
(g9
g10
NtRp51085
(dp51086
g13
Nsg14
Nsg15
V3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f
p51087
sbNg8
(g9
g10
NtRp51088
(dp51089
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (100km), May 2011
p51090
sbNNNNNg8
(g9
g10
NtRp51091
(dp51092
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51093
sbg8
(g23
g10
NtRp51094
(dp51095
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51096
sbNg8
(g9
g10
NtRp51097
(dp51098
g13
Nsg14
Nsg15
VFALSE
p51099
sbNNNg8
(g9
g10
NtRp51100
(dp51101
g13
Nsg14
Nsg15
VFALSE
p51102
sbNNg8
(g9
g10
NtRp51103
(dp51104
g13
Nsg14
Nsg15
VFALSE
p51105
sbNNg8
(g9
g10
NtRp51106
(dp51107
g13
Nsg14
Nsg15
VFALSE
p51108
sbNg8
(g9
g10
NtRp51109
(dp51110
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f.png
p51111
sbg8
(g9
g10
NtRp51112
(dp51113
g13
Nsg14
Nsg15
VEPSG:3035
p51114
sbg8
(g9
g10
NtRp51115
(dp51116
g13
Nsg14
Nsg15
V2019-06-04
p51117
sbNNNg8
(g9
g10
NtRp51118
(dp51119
g13
Nsg14
Nsg15
Vvector
p51120
sbg8
(g9
g10
NtRp51121
(dp51122
g13
Nsg14
Nsg15
VSHP
p51123
sbNg8
(g9
g10
NtRp51124
(dp51125
g13
Nsg14
Nsg15
V100000m
p51126
sbNg8
(g9
g10
NtRp51127
(dp51128
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51129
sbg8
(g9
g10
NtRp51130
(dp51131
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f
p51132
sbg8
(g9
g10
NtRp51133
(dp51134
g13
Nsg14
g74
sg15
V2011
p51135
sbg8
(g9
g10
NtRp51136
(dp51137
g13
Nsg14
g74
sg15
V2011
p51138
sbg8
(g9
g10
NtRp51139
(dp51140
g13
Nsg14
Nsg15
VFALSE
p51141
sbg8
(g9
g10
NtRp51142
(dp51143
g13
Nsg14
Nsg15
VGeographical grid systems
p51144
sbg8
(g9
g10
NtRp51145
(dp51146
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51147
sbg8
(g9
g10
NtRp51148
(dp51149
g13
Nsg14
Nsg15
VFALSE
p51150
sbg8
(g9
g10
NtRp51151
(dp51152
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51153
sbg8
(g9
g10
NtRp51154
(dp51155
g13
Nsg14
Nsg15
VFALSE
p51156
sbNNNNNNNg8
(g9
g10
NtRp51157
(dp51158
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51159
(dp51160
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51161
(dp51162
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ch_2011
p51163
sbNg8
(g9
g10
NtRp51164
(dp51165
g13
Nsg14
Nsg15
Vobsolete
p51166
sbtp51167
a(g8
(g9
g10
NtRp51168
(dp51169
g13
Nsg14
Nsg15
Vf8b8e91c-761f-4c32-9d43-89bab72051e2
p51170
sbNg8
(g9
g10
NtRp51171
(dp51172
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (1km), May 2011
p51173
sbNNNNNg8
(g9
g10
NtRp51174
(dp51175
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51176
sbg8
(g23
g10
NtRp51177
(dp51178
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51179
sbNg8
(g9
g10
NtRp51180
(dp51181
g13
Nsg14
Nsg15
VFALSE
p51182
sbNNNg8
(g9
g10
NtRp51183
(dp51184
g13
Nsg14
Nsg15
VFALSE
p51185
sbNNg8
(g9
g10
NtRp51186
(dp51187
g13
Nsg14
Nsg15
VFALSE
p51188
sbNNg8
(g9
g10
NtRp51189
(dp51190
g13
Nsg14
Nsg15
VFALSE
p51191
sbNg8
(g9
g10
NtRp51192
(dp51193
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8b8e91c-761f-4c32-9d43-89bab72051e2.png
p51194
sbg8
(g9
g10
NtRp51195
(dp51196
g13
Nsg14
Nsg15
VEPSG:3035
p51197
sbg8
(g9
g10
NtRp51198
(dp51199
g13
Nsg14
Nsg15
V2019-06-04
p51200
sbNNNg8
(g9
g10
NtRp51201
(dp51202
g13
Nsg14
Nsg15
Vvector
p51203
sbg8
(g9
g10
NtRp51204
(dp51205
g13
Nsg14
Nsg15
VSHP
p51206
sbNg8
(g9
g10
NtRp51207
(dp51208
g13
Nsg14
Nsg15
V1000m
p51209
sbNg8
(g9
g10
NtRp51210
(dp51211
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51212
sbg8
(g9
g10
NtRp51213
(dp51214
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8b8e91c-761f-4c32-9d43-89bab72051e2
p51215
sbg8
(g9
g10
NtRp51216
(dp51217
g13
Nsg14
g74
sg15
V2011
p51218
sbg8
(g9
g10
NtRp51219
(dp51220
g13
Nsg14
g74
sg15
V2011
p51221
sbg8
(g9
g10
NtRp51222
(dp51223
g13
Nsg14
Nsg15
VFALSE
p51224
sbg8
(g9
g10
NtRp51225
(dp51226
g13
Nsg14
Nsg15
VGeographical grid systems
p51227
sbg8
(g9
g10
NtRp51228
(dp51229
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51230
sbg8
(g9
g10
NtRp51231
(dp51232
g13
Nsg14
Nsg15
VFALSE
p51233
sbg8
(g9
g10
NtRp51234
(dp51235
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51236
sbg8
(g9
g10
NtRp51237
(dp51238
g13
Nsg14
Nsg15
VFALSE
p51239
sbNNNNNNNg8
(g9
g10
NtRp51240
(dp51241
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51242
(dp51243
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51244
(dp51245
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt_2011
p51246
sbNg8
(g9
g10
NtRp51247
(dp51248
g13
Nsg14
Nsg15
Vobsolete
p51249
sbtp51250
a(g8
(g9
g10
NtRp51251
(dp51252
g13
Nsg14
Nsg15
Vbb796039-8210-46b6-bebb-77f3c6ee5997
p51253
sbNg8
(g9
g10
NtRp51254
(dp51255
g13
Nsg14
Nsg15
VEEA reference grid for Finland (10km), May 2011
p51256
sbNNNNNg8
(g9
g10
NtRp51257
(dp51258
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51259
sbg8
(g23
g10
NtRp51260
(dp51261
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51262
sbNg8
(g9
g10
NtRp51263
(dp51264
g13
Nsg14
Nsg15
VFALSE
p51265
sbNNNg8
(g9
g10
NtRp51266
(dp51267
g13
Nsg14
Nsg15
VFALSE
p51268
sbNNg8
(g9
g10
NtRp51269
(dp51270
g13
Nsg14
Nsg15
VFALSE
p51271
sbNNg8
(g9
g10
NtRp51272
(dp51273
g13
Nsg14
Nsg15
VFALSE
p51274
sbNg8
(g9
g10
NtRp51275
(dp51276
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb796039-8210-46b6-bebb-77f3c6ee5997.png
p51277
sbg8
(g9
g10
NtRp51278
(dp51279
g13
Nsg14
Nsg15
VEPSG:3035
p51280
sbg8
(g9
g10
NtRp51281
(dp51282
g13
Nsg14
Nsg15
V2019-06-04
p51283
sbNNNg8
(g9
g10
NtRp51284
(dp51285
g13
Nsg14
Nsg15
Vvector
p51286
sbg8
(g9
g10
NtRp51287
(dp51288
g13
Nsg14
Nsg15
VSHP
p51289
sbNg8
(g9
g10
NtRp51290
(dp51291
g13
Nsg14
Nsg15
V10000m
p51292
sbNg8
(g9
g10
NtRp51293
(dp51294
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51295
sbg8
(g9
g10
NtRp51296
(dp51297
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb796039-8210-46b6-bebb-77f3c6ee5997
p51298
sbg8
(g9
g10
NtRp51299
(dp51300
g13
Nsg14
g74
sg15
V2011
p51301
sbg8
(g9
g10
NtRp51302
(dp51303
g13
Nsg14
g74
sg15
V2011
p51304
sbg8
(g9
g10
NtRp51305
(dp51306
g13
Nsg14
Nsg15
VFALSE
p51307
sbg8
(g9
g10
NtRp51308
(dp51309
g13
Nsg14
Nsg15
VGeographical grid systems
p51310
sbg8
(g9
g10
NtRp51311
(dp51312
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51313
sbg8
(g9
g10
NtRp51314
(dp51315
g13
Nsg14
Nsg15
VFALSE
p51316
sbg8
(g9
g10
NtRp51317
(dp51318
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51319
sbg8
(g9
g10
NtRp51320
(dp51321
g13
Nsg14
Nsg15
VFALSE
p51322
sbNNNNNNNg8
(g9
g10
NtRp51323
(dp51324
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51325
(dp51326
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51327
(dp51328
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-fi_2011
p51329
sbNg8
(g9
g10
NtRp51330
(dp51331
g13
Nsg14
Nsg15
Vobsolete
p51332
sbtp51333
a(g8
(g9
g10
NtRp51334
(dp51335
g13
Nsg14
Nsg15
V7db548da-06df-412d-a854-4e7307425233
p51336
sbNg8
(g9
g10
NtRp51337
(dp51338
g13
Nsg14
Nsg15
VEEA reference grid for Malta (1km), May 2011
p51339
sbNNNNNg8
(g9
g10
NtRp51340
(dp51341
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51342
sbg8
(g23
g10
NtRp51343
(dp51344
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51345
sbNg8
(g9
g10
NtRp51346
(dp51347
g13
Nsg14
Nsg15
VFALSE
p51348
sbNNNg8
(g9
g10
NtRp51349
(dp51350
g13
Nsg14
Nsg15
VFALSE
p51351
sbNNg8
(g9
g10
NtRp51352
(dp51353
g13
Nsg14
Nsg15
VFALSE
p51354
sbNNg8
(g9
g10
NtRp51355
(dp51356
g13
Nsg14
Nsg15
VFALSE
p51357
sbNg8
(g9
g10
NtRp51358
(dp51359
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7db548da-06df-412d-a854-4e7307425233.png
p51360
sbg8
(g9
g10
NtRp51361
(dp51362
g13
Nsg14
Nsg15
VEPSG:3035
p51363
sbg8
(g9
g10
NtRp51364
(dp51365
g13
Nsg14
Nsg15
V2019-06-04
p51366
sbNNNg8
(g9
g10
NtRp51367
(dp51368
g13
Nsg14
Nsg15
Vvector
p51369
sbg8
(g9
g10
NtRp51370
(dp51371
g13
Nsg14
Nsg15
VSHP
p51372
sbNg8
(g9
g10
NtRp51373
(dp51374
g13
Nsg14
Nsg15
V1000m
p51375
sbNg8
(g9
g10
NtRp51376
(dp51377
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51378
sbg8
(g9
g10
NtRp51379
(dp51380
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7db548da-06df-412d-a854-4e7307425233
p51381
sbg8
(g9
g10
NtRp51382
(dp51383
g13
Nsg14
g74
sg15
V2011
p51384
sbg8
(g9
g10
NtRp51385
(dp51386
g13
Nsg14
g74
sg15
V2011
p51387
sbg8
(g9
g10
NtRp51388
(dp51389
g13
Nsg14
Nsg15
VFALSE
p51390
sbg8
(g9
g10
NtRp51391
(dp51392
g13
Nsg14
Nsg15
VGeographical grid systems
p51393
sbg8
(g9
g10
NtRp51394
(dp51395
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51396
sbg8
(g9
g10
NtRp51397
(dp51398
g13
Nsg14
Nsg15
VFALSE
p51399
sbg8
(g9
g10
NtRp51400
(dp51401
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51402
sbg8
(g9
g10
NtRp51403
(dp51404
g13
Nsg14
Nsg15
VFALSE
p51405
sbNNNNNNNg8
(g9
g10
NtRp51406
(dp51407
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51408
(dp51409
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51410
(dp51411
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-mt_2011
p51412
sbNg8
(g9
g10
NtRp51413
(dp51414
g13
Nsg14
Nsg15
Vobsolete
p51415
sbtp51416
a(g8
(g9
g10
NtRp51417
(dp51418
g13
Nsg14
Nsg15
V99d4a09b-ae81-4600-a787-b35899a46121
p51419
sbNg8
(g9
g10
NtRp51420
(dp51421
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (1km), May 2011
p51422
sbNNNNNg8
(g9
g10
NtRp51423
(dp51424
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51425
sbg8
(g23
g10
NtRp51426
(dp51427
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51428
sbNg8
(g9
g10
NtRp51429
(dp51430
g13
Nsg14
Nsg15
VFALSE
p51431
sbNNNg8
(g9
g10
NtRp51432
(dp51433
g13
Nsg14
Nsg15
VFALSE
p51434
sbNNg8
(g9
g10
NtRp51435
(dp51436
g13
Nsg14
Nsg15
VFALSE
p51437
sbNNg8
(g9
g10
NtRp51438
(dp51439
g13
Nsg14
Nsg15
VFALSE
p51440
sbNg8
(g9
g10
NtRp51441
(dp51442
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/99d4a09b-ae81-4600-a787-b35899a46121.png
p51443
sbg8
(g9
g10
NtRp51444
(dp51445
g13
Nsg14
Nsg15
VEPSG:3035
p51446
sbg8
(g9
g10
NtRp51447
(dp51448
g13
Nsg14
Nsg15
V2019-06-04
p51449
sbNNNg8
(g9
g10
NtRp51450
(dp51451
g13
Nsg14
Nsg15
Vvector
p51452
sbg8
(g9
g10
NtRp51453
(dp51454
g13
Nsg14
Nsg15
VSHP
p51455
sbNg8
(g9
g10
NtRp51456
(dp51457
g13
Nsg14
Nsg15
V1000m
p51458
sbNg8
(g9
g10
NtRp51459
(dp51460
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51461
sbg8
(g9
g10
NtRp51462
(dp51463
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99d4a09b-ae81-4600-a787-b35899a46121
p51464
sbg8
(g9
g10
NtRp51465
(dp51466
g13
Nsg14
g74
sg15
V2011
p51467
sbg8
(g9
g10
NtRp51468
(dp51469
g13
Nsg14
g74
sg15
V2011
p51470
sbg8
(g9
g10
NtRp51471
(dp51472
g13
Nsg14
Nsg15
VFALSE
p51473
sbg8
(g9
g10
NtRp51474
(dp51475
g13
Nsg14
Nsg15
VGeographical grid systems
p51476
sbg8
(g9
g10
NtRp51477
(dp51478
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51479
sbg8
(g9
g10
NtRp51480
(dp51481
g13
Nsg14
Nsg15
VFALSE
p51482
sbg8
(g9
g10
NtRp51483
(dp51484
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51485
sbg8
(g9
g10
NtRp51486
(dp51487
g13
Nsg14
Nsg15
VFALSE
p51488
sbNNNNNNNg8
(g9
g10
NtRp51489
(dp51490
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51491
(dp51492
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51493
(dp51494
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ch_2011
p51495
sbNg8
(g9
g10
NtRp51496
(dp51497
g13
Nsg14
Nsg15
Vobsolete
p51498
sbtp51499
a(g8
(g9
g10
NtRp51500
(dp51501
g13
Nsg14
Nsg15
V81ddbbee-78c1-4362-a156-68950610568c
p51502
sbNg8
(g9
g10
NtRp51503
(dp51504
g13
Nsg14
Nsg15
VEEA reference grid for Azores (10km), May 2011
p51505
sbNNNNNg8
(g9
g10
NtRp51506
(dp51507
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51508
sbg8
(g23
g10
NtRp51509
(dp51510
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51511
sbNg8
(g9
g10
NtRp51512
(dp51513
g13
Nsg14
Nsg15
VFALSE
p51514
sbNNNg8
(g9
g10
NtRp51515
(dp51516
g13
Nsg14
Nsg15
VFALSE
p51517
sbNNg8
(g9
g10
NtRp51518
(dp51519
g13
Nsg14
Nsg15
VFALSE
p51520
sbNNg8
(g9
g10
NtRp51521
(dp51522
g13
Nsg14
Nsg15
VFALSE
p51523
sbNg8
(g9
g10
NtRp51524
(dp51525
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/81ddbbee-78c1-4362-a156-68950610568c.png
p51526
sbg8
(g9
g10
NtRp51527
(dp51528
g13
Nsg14
Nsg15
VEPSG:3035
p51529
sbg8
(g9
g10
NtRp51530
(dp51531
g13
Nsg14
Nsg15
V2019-06-04
p51532
sbNNNg8
(g9
g10
NtRp51533
(dp51534
g13
Nsg14
Nsg15
Vvector
p51535
sbg8
(g9
g10
NtRp51536
(dp51537
g13
Nsg14
Nsg15
VSHP
p51538
sbNg8
(g9
g10
NtRp51539
(dp51540
g13
Nsg14
Nsg15
V10000m
p51541
sbNg8
(g9
g10
NtRp51542
(dp51543
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51544
sbg8
(g9
g10
NtRp51545
(dp51546
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81ddbbee-78c1-4362-a156-68950610568c
p51547
sbg8
(g9
g10
NtRp51548
(dp51549
g13
Nsg14
g74
sg15
V2011
p51550
sbg8
(g9
g10
NtRp51551
(dp51552
g13
Nsg14
g74
sg15
V2011
p51553
sbg8
(g9
g10
NtRp51554
(dp51555
g13
Nsg14
Nsg15
VFALSE
p51556
sbg8
(g9
g10
NtRp51557
(dp51558
g13
Nsg14
Nsg15
VGeographical grid systems
p51559
sbg8
(g9
g10
NtRp51560
(dp51561
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51562
sbg8
(g9
g10
NtRp51563
(dp51564
g13
Nsg14
Nsg15
VFALSE
p51565
sbg8
(g9
g10
NtRp51566
(dp51567
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51568
sbg8
(g9
g10
NtRp51569
(dp51570
g13
Nsg14
Nsg15
VFALSE
p51571
sbNNNNNNNg8
(g9
g10
NtRp51572
(dp51573
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51574
(dp51575
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51576
(dp51577
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt-20_2011
p51578
sbNg8
(g9
g10
NtRp51579
(dp51580
g13
Nsg14
Nsg15
Vobsolete
p51581
sbtp51582
a(g8
(g9
g10
NtRp51583
(dp51584
g13
Nsg14
Nsg15
Ve902b716-5c5f-4baf-a48b-a74c8e6d2467
p51585
sbNg8
(g9
g10
NtRp51586
(dp51587
g13
Nsg14
Nsg15
VEEA reference grid for Greece (1km), May 2011
p51588
sbNNNNNg8
(g9
g10
NtRp51589
(dp51590
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51591
sbg8
(g23
g10
NtRp51592
(dp51593
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51594
sbNg8
(g9
g10
NtRp51595
(dp51596
g13
Nsg14
Nsg15
VFALSE
p51597
sbNNNg8
(g9
g10
NtRp51598
(dp51599
g13
Nsg14
Nsg15
VFALSE
p51600
sbNNg8
(g9
g10
NtRp51601
(dp51602
g13
Nsg14
Nsg15
VFALSE
p51603
sbNNg8
(g9
g10
NtRp51604
(dp51605
g13
Nsg14
Nsg15
VFALSE
p51606
sbNg8
(g9
g10
NtRp51607
(dp51608
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e902b716-5c5f-4baf-a48b-a74c8e6d2467.png
p51609
sbg8
(g9
g10
NtRp51610
(dp51611
g13
Nsg14
Nsg15
VEPSG:3035
p51612
sbg8
(g9
g10
NtRp51613
(dp51614
g13
Nsg14
Nsg15
V2019-06-04
p51615
sbNNNg8
(g9
g10
NtRp51616
(dp51617
g13
Nsg14
Nsg15
Vvector
p51618
sbg8
(g9
g10
NtRp51619
(dp51620
g13
Nsg14
Nsg15
VSHP
p51621
sbNg8
(g9
g10
NtRp51622
(dp51623
g13
Nsg14
Nsg15
V1000m
p51624
sbNg8
(g9
g10
NtRp51625
(dp51626
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51627
sbg8
(g9
g10
NtRp51628
(dp51629
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e902b716-5c5f-4baf-a48b-a74c8e6d2467
p51630
sbg8
(g9
g10
NtRp51631
(dp51632
g13
Nsg14
g74
sg15
V2011
p51633
sbg8
(g9
g10
NtRp51634
(dp51635
g13
Nsg14
g74
sg15
V2011
p51636
sbg8
(g9
g10
NtRp51637
(dp51638
g13
Nsg14
Nsg15
VFALSE
p51639
sbg8
(g9
g10
NtRp51640
(dp51641
g13
Nsg14
Nsg15
VGeographical grid systems
p51642
sbg8
(g9
g10
NtRp51643
(dp51644
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51645
sbg8
(g9
g10
NtRp51646
(dp51647
g13
Nsg14
Nsg15
VFALSE
p51648
sbg8
(g9
g10
NtRp51649
(dp51650
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51651
sbg8
(g9
g10
NtRp51652
(dp51653
g13
Nsg14
Nsg15
VFALSE
p51654
sbNNNNNNNg8
(g9
g10
NtRp51655
(dp51656
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51657
(dp51658
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51659
(dp51660
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gr_2011
p51661
sbNg8
(g9
g10
NtRp51662
(dp51663
g13
Nsg14
Nsg15
Vobsolete
p51664
sbtp51665
a(g8
(g9
g10
NtRp51666
(dp51667
g13
Nsg14
Nsg15
V9faab055-6e5d-484b-8831-1193503e7f2d
p51668
sbNg8
(g9
g10
NtRp51669
(dp51670
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (100km), May 2011
p51671
sbNNNNNg8
(g9
g10
NtRp51672
(dp51673
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51674
sbg8
(g23
g10
NtRp51675
(dp51676
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51677
sbNg8
(g9
g10
NtRp51678
(dp51679
g13
Nsg14
Nsg15
VFALSE
p51680
sbNNNg8
(g9
g10
NtRp51681
(dp51682
g13
Nsg14
Nsg15
VFALSE
p51683
sbNNg8
(g9
g10
NtRp51684
(dp51685
g13
Nsg14
Nsg15
VFALSE
p51686
sbNNg8
(g9
g10
NtRp51687
(dp51688
g13
Nsg14
Nsg15
VFALSE
p51689
sbNg8
(g9
g10
NtRp51690
(dp51691
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faab055-6e5d-484b-8831-1193503e7f2d.png
p51692
sbg8
(g9
g10
NtRp51693
(dp51694
g13
Nsg14
Nsg15
VEPSG:3035
p51695
sbg8
(g9
g10
NtRp51696
(dp51697
g13
Nsg14
Nsg15
V2019-06-04
p51698
sbNNNg8
(g9
g10
NtRp51699
(dp51700
g13
Nsg14
Nsg15
Vvector
p51701
sbg8
(g9
g10
NtRp51702
(dp51703
g13
Nsg14
Nsg15
VSHP
p51704
sbNg8
(g9
g10
NtRp51705
(dp51706
g13
Nsg14
Nsg15
V100000m
p51707
sbNg8
(g9
g10
NtRp51708
(dp51709
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51710
sbg8
(g9
g10
NtRp51711
(dp51712
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faab055-6e5d-484b-8831-1193503e7f2d
p51713
sbg8
(g9
g10
NtRp51714
(dp51715
g13
Nsg14
g74
sg15
V2011
p51716
sbg8
(g9
g10
NtRp51717
(dp51718
g13
Nsg14
g74
sg15
V2011
p51719
sbg8
(g9
g10
NtRp51720
(dp51721
g13
Nsg14
Nsg15
VFALSE
p51722
sbg8
(g9
g10
NtRp51723
(dp51724
g13
Nsg14
Nsg15
VGeographical grid systems
p51725
sbg8
(g9
g10
NtRp51726
(dp51727
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51728
sbg8
(g9
g10
NtRp51729
(dp51730
g13
Nsg14
Nsg15
VFALSE
p51731
sbg8
(g9
g10
NtRp51732
(dp51733
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51734
sbg8
(g9
g10
NtRp51735
(dp51736
g13
Nsg14
Nsg15
VFALSE
p51737
sbNNNNNNNg8
(g9
g10
NtRp51738
(dp51739
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51740
(dp51741
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51742
(dp51743
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-be_2011
p51744
sbNg8
(g9
g10
NtRp51745
(dp51746
g13
Nsg14
Nsg15
Vobsolete
p51747
sbtp51748
a(g8
(g9
g10
NtRp51749
(dp51750
g13
Nsg14
Nsg15
Vada072ce-a203-4e36-87f4-cbd021ab6435
p51751
sbNg8
(g9
g10
NtRp51752
(dp51753
g13
Nsg14
Nsg15
VEEA reference grid for France (1km), May 2011
p51754
sbNNNNNg8
(g9
g10
NtRp51755
(dp51756
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51757
sbg8
(g23
g10
NtRp51758
(dp51759
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51760
sbNg8
(g9
g10
NtRp51761
(dp51762
g13
Nsg14
Nsg15
VFALSE
p51763
sbNNNg8
(g9
g10
NtRp51764
(dp51765
g13
Nsg14
Nsg15
VFALSE
p51766
sbNNg8
(g9
g10
NtRp51767
(dp51768
g13
Nsg14
Nsg15
VFALSE
p51769
sbNNg8
(g9
g10
NtRp51770
(dp51771
g13
Nsg14
Nsg15
VFALSE
p51772
sbNg8
(g9
g10
NtRp51773
(dp51774
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ada072ce-a203-4e36-87f4-cbd021ab6435.png
p51775
sbg8
(g9
g10
NtRp51776
(dp51777
g13
Nsg14
Nsg15
VEPSG:3035
p51778
sbg8
(g9
g10
NtRp51779
(dp51780
g13
Nsg14
Nsg15
V2019-06-04
p51781
sbNNNg8
(g9
g10
NtRp51782
(dp51783
g13
Nsg14
Nsg15
Vvector
p51784
sbg8
(g9
g10
NtRp51785
(dp51786
g13
Nsg14
Nsg15
VSHP
p51787
sbNg8
(g9
g10
NtRp51788
(dp51789
g13
Nsg14
Nsg15
V1000m
p51790
sbNg8
(g9
g10
NtRp51791
(dp51792
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51793
sbg8
(g9
g10
NtRp51794
(dp51795
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ada072ce-a203-4e36-87f4-cbd021ab6435
p51796
sbg8
(g9
g10
NtRp51797
(dp51798
g13
Nsg14
g74
sg15
V2011
p51799
sbg8
(g9
g10
NtRp51800
(dp51801
g13
Nsg14
g74
sg15
V2011
p51802
sbg8
(g9
g10
NtRp51803
(dp51804
g13
Nsg14
Nsg15
VFALSE
p51805
sbg8
(g9
g10
NtRp51806
(dp51807
g13
Nsg14
Nsg15
VGeographical grid systems
p51808
sbg8
(g9
g10
NtRp51809
(dp51810
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51811
sbg8
(g9
g10
NtRp51812
(dp51813
g13
Nsg14
Nsg15
VFALSE
p51814
sbg8
(g9
g10
NtRp51815
(dp51816
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51817
sbg8
(g9
g10
NtRp51818
(dp51819
g13
Nsg14
Nsg15
VFALSE
p51820
sbNNNNNNNg8
(g9
g10
NtRp51821
(dp51822
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51823
(dp51824
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51825
(dp51826
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-fr_2011
p51827
sbNg8
(g9
g10
NtRp51828
(dp51829
g13
Nsg14
Nsg15
Vobsolete
p51830
sbtp51831
a(g8
(g9
g10
NtRp51832
(dp51833
g13
Nsg14
Nsg15
V8644df59-75c3-4dd4-b59c-25c5b9c4a9eb
p51834
sbNg8
(g9
g10
NtRp51835
(dp51836
g13
Nsg14
Nsg15
VEEA reference grid for Romania (1km), May 2011
p51837
sbNNNNNg8
(g9
g10
NtRp51838
(dp51839
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51840
sbg8
(g23
g10
NtRp51841
(dp51842
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51843
sbNg8
(g9
g10
NtRp51844
(dp51845
g13
Nsg14
Nsg15
VFALSE
p51846
sbNNNg8
(g9
g10
NtRp51847
(dp51848
g13
Nsg14
Nsg15
VFALSE
p51849
sbNNg8
(g9
g10
NtRp51850
(dp51851
g13
Nsg14
Nsg15
VFALSE
p51852
sbNNg8
(g9
g10
NtRp51853
(dp51854
g13
Nsg14
Nsg15
VFALSE
p51855
sbNg8
(g9
g10
NtRp51856
(dp51857
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8644df59-75c3-4dd4-b59c-25c5b9c4a9eb.png
p51858
sbg8
(g9
g10
NtRp51859
(dp51860
g13
Nsg14
Nsg15
VEPSG:3035
p51861
sbg8
(g9
g10
NtRp51862
(dp51863
g13
Nsg14
Nsg15
V2019-06-04
p51864
sbNNNg8
(g9
g10
NtRp51865
(dp51866
g13
Nsg14
Nsg15
Vvector
p51867
sbg8
(g9
g10
NtRp51868
(dp51869
g13
Nsg14
Nsg15
VSHP
p51870
sbNg8
(g9
g10
NtRp51871
(dp51872
g13
Nsg14
Nsg15
V1000m
p51873
sbNg8
(g9
g10
NtRp51874
(dp51875
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51876
sbg8
(g9
g10
NtRp51877
(dp51878
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8644df59-75c3-4dd4-b59c-25c5b9c4a9eb
p51879
sbg8
(g9
g10
NtRp51880
(dp51881
g13
Nsg14
g74
sg15
V2011
p51882
sbg8
(g9
g10
NtRp51883
(dp51884
g13
Nsg14
g74
sg15
V2011
p51885
sbg8
(g9
g10
NtRp51886
(dp51887
g13
Nsg14
Nsg15
VFALSE
p51888
sbg8
(g9
g10
NtRp51889
(dp51890
g13
Nsg14
Nsg15
VGeographical grid systems
p51891
sbg8
(g9
g10
NtRp51892
(dp51893
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51894
sbg8
(g9
g10
NtRp51895
(dp51896
g13
Nsg14
Nsg15
VFALSE
p51897
sbg8
(g9
g10
NtRp51898
(dp51899
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51900
sbg8
(g9
g10
NtRp51901
(dp51902
g13
Nsg14
Nsg15
VFALSE
p51903
sbNNNNNNNg8
(g9
g10
NtRp51904
(dp51905
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51906
(dp51907
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51908
(dp51909
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ro_2011
p51910
sbNg8
(g9
g10
NtRp51911
(dp51912
g13
Nsg14
Nsg15
Vobsolete
p51913
sbtp51914
a(g8
(g9
g10
NtRp51915
(dp51916
g13
Nsg14
Nsg15
V28263ba1-b2c0-421d-bd75-6b9959da1d95
p51917
sbNg8
(g9
g10
NtRp51918
(dp51919
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (100km), May 2011
p51920
sbNNNNNg8
(g9
g10
NtRp51921
(dp51922
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p51923
sbg8
(g23
g10
NtRp51924
(dp51925
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p51926
sbNg8
(g9
g10
NtRp51927
(dp51928
g13
Nsg14
Nsg15
VFALSE
p51929
sbNNNg8
(g9
g10
NtRp51930
(dp51931
g13
Nsg14
Nsg15
VFALSE
p51932
sbNNg8
(g9
g10
NtRp51933
(dp51934
g13
Nsg14
Nsg15
VFALSE
p51935
sbNNg8
(g9
g10
NtRp51936
(dp51937
g13
Nsg14
Nsg15
VFALSE
p51938
sbNg8
(g9
g10
NtRp51939
(dp51940
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28263ba1-b2c0-421d-bd75-6b9959da1d95.png
p51941
sbg8
(g9
g10
NtRp51942
(dp51943
g13
Nsg14
Nsg15
VEPSG:3035
p51944
sbg8
(g9
g10
NtRp51945
(dp51946
g13
Nsg14
Nsg15
V2019-06-04
p51947
sbNNNg8
(g9
g10
NtRp51948
(dp51949
g13
Nsg14
Nsg15
Vvector
p51950
sbg8
(g9
g10
NtRp51951
(dp51952
g13
Nsg14
Nsg15
VSHP
p51953
sbNg8
(g9
g10
NtRp51954
(dp51955
g13
Nsg14
Nsg15
V100000m
p51956
sbNg8
(g9
g10
NtRp51957
(dp51958
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p51959
sbg8
(g9
g10
NtRp51960
(dp51961
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28263ba1-b2c0-421d-bd75-6b9959da1d95
p51962
sbg8
(g9
g10
NtRp51963
(dp51964
g13
Nsg14
g74
sg15
V2011
p51965
sbg8
(g9
g10
NtRp51966
(dp51967
g13
Nsg14
g74
sg15
V2011
p51968
sbg8
(g9
g10
NtRp51969
(dp51970
g13
Nsg14
Nsg15
VFALSE
p51971
sbg8
(g9
g10
NtRp51972
(dp51973
g13
Nsg14
Nsg15
VGeographical grid systems
p51974
sbg8
(g9
g10
NtRp51975
(dp51976
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p51977
sbg8
(g9
g10
NtRp51978
(dp51979
g13
Nsg14
Nsg15
VFALSE
p51980
sbg8
(g9
g10
NtRp51981
(dp51982
g13
Nsg14
Nsg15
VEuropean Environment Agency
p51983
sbg8
(g9
g10
NtRp51984
(dp51985
g13
Nsg14
Nsg15
VFALSE
p51986
sbNNNNNNNg8
(g9
g10
NtRp51987
(dp51988
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp51989
(dp51990
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp51991
(dp51992
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-dk_2011
p51993
sbNg8
(g9
g10
NtRp51994
(dp51995
g13
Nsg14
Nsg15
Vobsolete
p51996
sbtp51997
a(g8
(g9
g10
NtRp51998
(dp51999
g13
Nsg14
Nsg15
V964a58b4-3961-4d58-9319-18b4bf072cf1
p52000
sbNg8
(g9
g10
NtRp52001
(dp52002
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (10km), May 2011
p52003
sbNNNNNg8
(g9
g10
NtRp52004
(dp52005
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52006
sbg8
(g23
g10
NtRp52007
(dp52008
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52009
sbNg8
(g9
g10
NtRp52010
(dp52011
g13
Nsg14
Nsg15
VFALSE
p52012
sbNNNg8
(g9
g10
NtRp52013
(dp52014
g13
Nsg14
Nsg15
VFALSE
p52015
sbNNg8
(g9
g10
NtRp52016
(dp52017
g13
Nsg14
Nsg15
VFALSE
p52018
sbNNg8
(g9
g10
NtRp52019
(dp52020
g13
Nsg14
Nsg15
VFALSE
p52021
sbNg8
(g9
g10
NtRp52022
(dp52023
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/964a58b4-3961-4d58-9319-18b4bf072cf1.png
p52024
sbg8
(g9
g10
NtRp52025
(dp52026
g13
Nsg14
Nsg15
VEPSG:3035
p52027
sbg8
(g9
g10
NtRp52028
(dp52029
g13
Nsg14
Nsg15
V2019-06-04
p52030
sbNNNg8
(g9
g10
NtRp52031
(dp52032
g13
Nsg14
Nsg15
Vvector
p52033
sbg8
(g9
g10
NtRp52034
(dp52035
g13
Nsg14
Nsg15
VSHP
p52036
sbNg8
(g9
g10
NtRp52037
(dp52038
g13
Nsg14
Nsg15
V10000m
p52039
sbNg8
(g9
g10
NtRp52040
(dp52041
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52042
sbg8
(g9
g10
NtRp52043
(dp52044
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/964a58b4-3961-4d58-9319-18b4bf072cf1
p52045
sbg8
(g9
g10
NtRp52046
(dp52047
g13
Nsg14
g74
sg15
V2011
p52048
sbg8
(g9
g10
NtRp52049
(dp52050
g13
Nsg14
g74
sg15
V2011
p52051
sbg8
(g9
g10
NtRp52052
(dp52053
g13
Nsg14
Nsg15
VFALSE
p52054
sbg8
(g9
g10
NtRp52055
(dp52056
g13
Nsg14
Nsg15
VGeographical grid systems
p52057
sbg8
(g9
g10
NtRp52058
(dp52059
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52060
sbg8
(g9
g10
NtRp52061
(dp52062
g13
Nsg14
Nsg15
VFALSE
p52063
sbg8
(g9
g10
NtRp52064
(dp52065
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52066
sbg8
(g9
g10
NtRp52067
(dp52068
g13
Nsg14
Nsg15
VFALSE
p52069
sbNNNNNNNg8
(g9
g10
NtRp52070
(dp52071
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52072
(dp52073
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52074
(dp52075
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-hr_2011
p52076
sbNg8
(g9
g10
NtRp52077
(dp52078
g13
Nsg14
Nsg15
Vobsolete
p52079
sbtp52080
a(g8
(g9
g10
NtRp52081
(dp52082
g13
Nsg14
Nsg15
V40611325-0fbf-45c0-84be-f0df0576b477
p52083
sbNg8
(g9
g10
NtRp52084
(dp52085
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (10km), May 2011
p52086
sbNNNNNg8
(g9
g10
NtRp52087
(dp52088
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52089
sbg8
(g23
g10
NtRp52090
(dp52091
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52092
sbNg8
(g9
g10
NtRp52093
(dp52094
g13
Nsg14
Nsg15
VFALSE
p52095
sbNNNg8
(g9
g10
NtRp52096
(dp52097
g13
Nsg14
Nsg15
VFALSE
p52098
sbNNg8
(g9
g10
NtRp52099
(dp52100
g13
Nsg14
Nsg15
VFALSE
p52101
sbNNg8
(g9
g10
NtRp52102
(dp52103
g13
Nsg14
Nsg15
VFALSE
p52104
sbNg8
(g9
g10
NtRp52105
(dp52106
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/40611325-0fbf-45c0-84be-f0df0576b477.png
p52107
sbg8
(g9
g10
NtRp52108
(dp52109
g13
Nsg14
Nsg15
VEPSG:3035
p52110
sbg8
(g9
g10
NtRp52111
(dp52112
g13
Nsg14
Nsg15
V2019-06-04
p52113
sbNNNg8
(g9
g10
NtRp52114
(dp52115
g13
Nsg14
Nsg15
Vvector
p52116
sbg8
(g9
g10
NtRp52117
(dp52118
g13
Nsg14
Nsg15
VSHP
p52119
sbNg8
(g9
g10
NtRp52120
(dp52121
g13
Nsg14
Nsg15
V10000m
p52122
sbNg8
(g9
g10
NtRp52123
(dp52124
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52125
sbg8
(g9
g10
NtRp52126
(dp52127
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40611325-0fbf-45c0-84be-f0df0576b477
p52128
sbg8
(g9
g10
NtRp52129
(dp52130
g13
Nsg14
g74
sg15
V2011
p52131
sbg8
(g9
g10
NtRp52132
(dp52133
g13
Nsg14
g74
sg15
V2011
p52134
sbg8
(g9
g10
NtRp52135
(dp52136
g13
Nsg14
Nsg15
VFALSE
p52137
sbg8
(g9
g10
NtRp52138
(dp52139
g13
Nsg14
Nsg15
VGeographical grid systems
p52140
sbg8
(g9
g10
NtRp52141
(dp52142
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52143
sbg8
(g9
g10
NtRp52144
(dp52145
g13
Nsg14
Nsg15
VFALSE
p52146
sbg8
(g9
g10
NtRp52147
(dp52148
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52149
sbg8
(g9
g10
NtRp52150
(dp52151
g13
Nsg14
Nsg15
VFALSE
p52152
sbNNNNNNNg8
(g9
g10
NtRp52153
(dp52154
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52155
(dp52156
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52157
(dp52158
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-xk_2011
p52159
sbNg8
(g9
g10
NtRp52160
(dp52161
g13
Nsg14
Nsg15
Vobsolete
p52162
sbtp52163
a(g8
(g9
g10
NtRp52164
(dp52165
g13
Nsg14
Nsg15
V08fcaf24-5db4-44ec-895d-6a63dd33c997
p52166
sbNg8
(g9
g10
NtRp52167
(dp52168
g13
Nsg14
Nsg15
VEEA reference grid for Cyprus (10km), May 2011
p52169
sbNNNNNg8
(g9
g10
NtRp52170
(dp52171
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52172
sbg8
(g23
g10
NtRp52173
(dp52174
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52175
sbNg8
(g9
g10
NtRp52176
(dp52177
g13
Nsg14
Nsg15
VFALSE
p52178
sbNNNg8
(g9
g10
NtRp52179
(dp52180
g13
Nsg14
Nsg15
VFALSE
p52181
sbNNg8
(g9
g10
NtRp52182
(dp52183
g13
Nsg14
Nsg15
VFALSE
p52184
sbNNg8
(g9
g10
NtRp52185
(dp52186
g13
Nsg14
Nsg15
VFALSE
p52187
sbNg8
(g9
g10
NtRp52188
(dp52189
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/08fcaf24-5db4-44ec-895d-6a63dd33c997.png
p52190
sbg8
(g9
g10
NtRp52191
(dp52192
g13
Nsg14
Nsg15
VEPSG:3035
p52193
sbg8
(g9
g10
NtRp52194
(dp52195
g13
Nsg14
Nsg15
V2019-06-04
p52196
sbNNNg8
(g9
g10
NtRp52197
(dp52198
g13
Nsg14
Nsg15
Vvector
p52199
sbg8
(g9
g10
NtRp52200
(dp52201
g13
Nsg14
Nsg15
VSHP
p52202
sbNg8
(g9
g10
NtRp52203
(dp52204
g13
Nsg14
Nsg15
V10000m
p52205
sbNg8
(g9
g10
NtRp52206
(dp52207
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52208
sbg8
(g9
g10
NtRp52209
(dp52210
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08fcaf24-5db4-44ec-895d-6a63dd33c997
p52211
sbg8
(g9
g10
NtRp52212
(dp52213
g13
Nsg14
g74
sg15
V2011
p52214
sbg8
(g9
g10
NtRp52215
(dp52216
g13
Nsg14
g74
sg15
V2011
p52217
sbg8
(g9
g10
NtRp52218
(dp52219
g13
Nsg14
Nsg15
VFALSE
p52220
sbg8
(g9
g10
NtRp52221
(dp52222
g13
Nsg14
Nsg15
VGeographical grid systems
p52223
sbg8
(g9
g10
NtRp52224
(dp52225
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52226
sbg8
(g9
g10
NtRp52227
(dp52228
g13
Nsg14
Nsg15
VFALSE
p52229
sbg8
(g9
g10
NtRp52230
(dp52231
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52232
sbg8
(g9
g10
NtRp52233
(dp52234
g13
Nsg14
Nsg15
VFALSE
p52235
sbNNNNNNNg8
(g9
g10
NtRp52236
(dp52237
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52238
(dp52239
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52240
(dp52241
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-cy_2011
p52242
sbNg8
(g9
g10
NtRp52243
(dp52244
g13
Nsg14
Nsg15
Vobsolete
p52245
sbtp52246
a(g8
(g9
g10
NtRp52247
(dp52248
g13
Nsg14
Nsg15
Vcbe9c2cf-e885-4965-8935-7ffb2e2a3e80
p52249
sbNg8
(g9
g10
NtRp52250
(dp52251
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (10km), May 2011
p52252
sbNNNNNg8
(g9
g10
NtRp52253
(dp52254
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52255
sbg8
(g23
g10
NtRp52256
(dp52257
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52258
sbNg8
(g9
g10
NtRp52259
(dp52260
g13
Nsg14
Nsg15
VFALSE
p52261
sbNNNg8
(g9
g10
NtRp52262
(dp52263
g13
Nsg14
Nsg15
VFALSE
p52264
sbNNg8
(g9
g10
NtRp52265
(dp52266
g13
Nsg14
Nsg15
VFALSE
p52267
sbNNg8
(g9
g10
NtRp52268
(dp52269
g13
Nsg14
Nsg15
VFALSE
p52270
sbNg8
(g9
g10
NtRp52271
(dp52272
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80.png
p52273
sbg8
(g9
g10
NtRp52274
(dp52275
g13
Nsg14
Nsg15
VEPSG:3035
p52276
sbg8
(g9
g10
NtRp52277
(dp52278
g13
Nsg14
Nsg15
V2019-06-04
p52279
sbNNNg8
(g9
g10
NtRp52280
(dp52281
g13
Nsg14
Nsg15
Vvector
p52282
sbg8
(g9
g10
NtRp52283
(dp52284
g13
Nsg14
Nsg15
VSHP
p52285
sbNg8
(g9
g10
NtRp52286
(dp52287
g13
Nsg14
Nsg15
V10000m
p52288
sbNg8
(g9
g10
NtRp52289
(dp52290
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52291
sbg8
(g9
g10
NtRp52292
(dp52293
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80
p52294
sbg8
(g9
g10
NtRp52295
(dp52296
g13
Nsg14
g74
sg15
V2011
p52297
sbg8
(g9
g10
NtRp52298
(dp52299
g13
Nsg14
g74
sg15
V2011
p52300
sbg8
(g9
g10
NtRp52301
(dp52302
g13
Nsg14
Nsg15
VFALSE
p52303
sbg8
(g9
g10
NtRp52304
(dp52305
g13
Nsg14
Nsg15
VGeographical grid systems
p52306
sbg8
(g9
g10
NtRp52307
(dp52308
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52309
sbg8
(g9
g10
NtRp52310
(dp52311
g13
Nsg14
Nsg15
VFALSE
p52312
sbg8
(g9
g10
NtRp52313
(dp52314
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52315
sbg8
(g9
g10
NtRp52316
(dp52317
g13
Nsg14
Nsg15
VFALSE
p52318
sbNNNNNNNg8
(g9
g10
NtRp52319
(dp52320
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52321
(dp52322
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52323
(dp52324
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-nl_2011
p52325
sbNg8
(g9
g10
NtRp52326
(dp52327
g13
Nsg14
Nsg15
Vobsolete
p52328
sbtp52329
a(g8
(g9
g10
NtRp52330
(dp52331
g13
Nsg14
Nsg15
Vcc36fcc1-7d1e-498d-8232-46637bfc2177
p52332
sbNg8
(g9
g10
NtRp52333
(dp52334
g13
Nsg14
Nsg15
VEEA reference grid for Canary Islands (10km), May 2011
p52335
sbNNNNNg8
(g9
g10
NtRp52336
(dp52337
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52338
sbg8
(g23
g10
NtRp52339
(dp52340
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52341
sbNg8
(g9
g10
NtRp52342
(dp52343
g13
Nsg14
Nsg15
VFALSE
p52344
sbNNNg8
(g9
g10
NtRp52345
(dp52346
g13
Nsg14
Nsg15
VFALSE
p52347
sbNNg8
(g9
g10
NtRp52348
(dp52349
g13
Nsg14
Nsg15
VFALSE
p52350
sbNNg8
(g9
g10
NtRp52351
(dp52352
g13
Nsg14
Nsg15
VFALSE
p52353
sbNg8
(g9
g10
NtRp52354
(dp52355
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc36fcc1-7d1e-498d-8232-46637bfc2177.png
p52356
sbg8
(g9
g10
NtRp52357
(dp52358
g13
Nsg14
Nsg15
VEPSG:3035
p52359
sbg8
(g9
g10
NtRp52360
(dp52361
g13
Nsg14
Nsg15
V2019-06-04
p52362
sbNNNg8
(g9
g10
NtRp52363
(dp52364
g13
Nsg14
Nsg15
Vvector
p52365
sbg8
(g9
g10
NtRp52366
(dp52367
g13
Nsg14
Nsg15
VSHP
p52368
sbNg8
(g9
g10
NtRp52369
(dp52370
g13
Nsg14
Nsg15
V10000m
p52371
sbNg8
(g9
g10
NtRp52372
(dp52373
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52374
sbg8
(g9
g10
NtRp52375
(dp52376
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc36fcc1-7d1e-498d-8232-46637bfc2177
p52377
sbg8
(g9
g10
NtRp52378
(dp52379
g13
Nsg14
g74
sg15
V2011
p52380
sbg8
(g9
g10
NtRp52381
(dp52382
g13
Nsg14
g74
sg15
V2011
p52383
sbg8
(g9
g10
NtRp52384
(dp52385
g13
Nsg14
Nsg15
VFALSE
p52386
sbg8
(g9
g10
NtRp52387
(dp52388
g13
Nsg14
Nsg15
VGeographical grid systems
p52389
sbg8
(g9
g10
NtRp52390
(dp52391
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52392
sbg8
(g9
g10
NtRp52393
(dp52394
g13
Nsg14
Nsg15
VFALSE
p52395
sbg8
(g9
g10
NtRp52396
(dp52397
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52398
sbg8
(g9
g10
NtRp52399
(dp52400
g13
Nsg14
Nsg15
VFALSE
p52401
sbNNNNNNNg8
(g9
g10
NtRp52402
(dp52403
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52404
(dp52405
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52406
(dp52407
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ic_2011
p52408
sbNg8
(g9
g10
NtRp52409
(dp52410
g13
Nsg14
Nsg15
Vobsolete
p52411
sbtp52412
a(g8
(g9
g10
NtRp52413
(dp52414
g13
Nsg14
Nsg15
V27aee1b0-8505-498c-9ef3-b10977f005c2
p52415
sbNg8
(g9
g10
NtRp52416
(dp52417
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (10km), May 2011
p52418
sbNNNNNg8
(g9
g10
NtRp52419
(dp52420
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52421
sbg8
(g23
g10
NtRp52422
(dp52423
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52424
sbNg8
(g9
g10
NtRp52425
(dp52426
g13
Nsg14
Nsg15
VFALSE
p52427
sbNNNg8
(g9
g10
NtRp52428
(dp52429
g13
Nsg14
Nsg15
VFALSE
p52430
sbNNg8
(g9
g10
NtRp52431
(dp52432
g13
Nsg14
Nsg15
VFALSE
p52433
sbNNg8
(g9
g10
NtRp52434
(dp52435
g13
Nsg14
Nsg15
VFALSE
p52436
sbNg8
(g9
g10
NtRp52437
(dp52438
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/27aee1b0-8505-498c-9ef3-b10977f005c2.png
p52439
sbg8
(g9
g10
NtRp52440
(dp52441
g13
Nsg14
Nsg15
VEPSG:3035
p52442
sbg8
(g9
g10
NtRp52443
(dp52444
g13
Nsg14
Nsg15
V2019-06-04
p52445
sbNNNg8
(g9
g10
NtRp52446
(dp52447
g13
Nsg14
Nsg15
Vvector
p52448
sbg8
(g9
g10
NtRp52449
(dp52450
g13
Nsg14
Nsg15
VSHP
p52451
sbNg8
(g9
g10
NtRp52452
(dp52453
g13
Nsg14
Nsg15
V10000m
p52454
sbNg8
(g9
g10
NtRp52455
(dp52456
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52457
sbg8
(g9
g10
NtRp52458
(dp52459
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27aee1b0-8505-498c-9ef3-b10977f005c2
p52460
sbg8
(g9
g10
NtRp52461
(dp52462
g13
Nsg14
g74
sg15
V2011
p52463
sbg8
(g9
g10
NtRp52464
(dp52465
g13
Nsg14
g74
sg15
V2011
p52466
sbg8
(g9
g10
NtRp52467
(dp52468
g13
Nsg14
Nsg15
VFALSE
p52469
sbg8
(g9
g10
NtRp52470
(dp52471
g13
Nsg14
Nsg15
VGeographical grid systems
p52472
sbg8
(g9
g10
NtRp52473
(dp52474
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52475
sbg8
(g9
g10
NtRp52476
(dp52477
g13
Nsg14
Nsg15
VFALSE
p52478
sbg8
(g9
g10
NtRp52479
(dp52480
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52481
sbg8
(g9
g10
NtRp52482
(dp52483
g13
Nsg14
Nsg15
VFALSE
p52484
sbNNNNNNNg8
(g9
g10
NtRp52485
(dp52486
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52487
(dp52488
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52489
(dp52490
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-tr_2011
p52491
sbNg8
(g9
g10
NtRp52492
(dp52493
g13
Nsg14
Nsg15
Vobsolete
p52494
sbtp52495
a(g8
(g9
g10
NtRp52496
(dp52497
g13
Nsg14
Nsg15
Vb96d4584-2d1c-4f6f-a9cb-a2da2b7eea57
p52498
sbNg8
(g9
g10
NtRp52499
(dp52500
g13
Nsg14
Nsg15
VEEA reference grid for Azores (1km), May 2011
p52501
sbNNNNNg8
(g9
g10
NtRp52502
(dp52503
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52504
sbg8
(g23
g10
NtRp52505
(dp52506
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52507
sbNg8
(g9
g10
NtRp52508
(dp52509
g13
Nsg14
Nsg15
VFALSE
p52510
sbNNNg8
(g9
g10
NtRp52511
(dp52512
g13
Nsg14
Nsg15
VFALSE
p52513
sbNNg8
(g9
g10
NtRp52514
(dp52515
g13
Nsg14
Nsg15
VFALSE
p52516
sbNNg8
(g9
g10
NtRp52517
(dp52518
g13
Nsg14
Nsg15
VFALSE
p52519
sbNg8
(g9
g10
NtRp52520
(dp52521
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57.png
p52522
sbg8
(g9
g10
NtRp52523
(dp52524
g13
Nsg14
Nsg15
VEPSG:3035
p52525
sbg8
(g9
g10
NtRp52526
(dp52527
g13
Nsg14
Nsg15
V2019-06-04
p52528
sbNNNg8
(g9
g10
NtRp52529
(dp52530
g13
Nsg14
Nsg15
Vvector
p52531
sbg8
(g9
g10
NtRp52532
(dp52533
g13
Nsg14
Nsg15
VSHP
p52534
sbNg8
(g9
g10
NtRp52535
(dp52536
g13
Nsg14
Nsg15
V1000m
p52537
sbNg8
(g9
g10
NtRp52538
(dp52539
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52540
sbg8
(g9
g10
NtRp52541
(dp52542
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57
p52543
sbg8
(g9
g10
NtRp52544
(dp52545
g13
Nsg14
g74
sg15
V2011
p52546
sbg8
(g9
g10
NtRp52547
(dp52548
g13
Nsg14
g74
sg15
V2011
p52549
sbg8
(g9
g10
NtRp52550
(dp52551
g13
Nsg14
Nsg15
VFALSE
p52552
sbg8
(g9
g10
NtRp52553
(dp52554
g13
Nsg14
Nsg15
VGeographical grid systems
p52555
sbg8
(g9
g10
NtRp52556
(dp52557
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52558
sbg8
(g9
g10
NtRp52559
(dp52560
g13
Nsg14
Nsg15
VFALSE
p52561
sbg8
(g9
g10
NtRp52562
(dp52563
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52564
sbg8
(g9
g10
NtRp52565
(dp52566
g13
Nsg14
Nsg15
VFALSE
p52567
sbNNNNNNNg8
(g9
g10
NtRp52568
(dp52569
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52570
(dp52571
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52572
(dp52573
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt-20_2011
p52574
sbNg8
(g9
g10
NtRp52575
(dp52576
g13
Nsg14
Nsg15
Vobsolete
p52577
sbtp52578
a(g8
(g9
g10
NtRp52579
(dp52580
g13
Nsg14
Nsg15
Ve374dcbc-0e0a-44f0-8906-25ba4053deb8
p52581
sbNg8
(g9
g10
NtRp52582
(dp52583
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (1km), May 2011
p52584
sbNNNNNg8
(g9
g10
NtRp52585
(dp52586
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52587
sbg8
(g23
g10
NtRp52588
(dp52589
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52590
sbNg8
(g9
g10
NtRp52591
(dp52592
g13
Nsg14
Nsg15
VFALSE
p52593
sbNNNg8
(g9
g10
NtRp52594
(dp52595
g13
Nsg14
Nsg15
VFALSE
p52596
sbNNg8
(g9
g10
NtRp52597
(dp52598
g13
Nsg14
Nsg15
VFALSE
p52599
sbNNg8
(g9
g10
NtRp52600
(dp52601
g13
Nsg14
Nsg15
VFALSE
p52602
sbNg8
(g9
g10
NtRp52603
(dp52604
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e374dcbc-0e0a-44f0-8906-25ba4053deb8.png
p52605
sbg8
(g9
g10
NtRp52606
(dp52607
g13
Nsg14
Nsg15
VEPSG:3035
p52608
sbg8
(g9
g10
NtRp52609
(dp52610
g13
Nsg14
Nsg15
V2019-06-04
p52611
sbNNNg8
(g9
g10
NtRp52612
(dp52613
g13
Nsg14
Nsg15
Vvector
p52614
sbg8
(g9
g10
NtRp52615
(dp52616
g13
Nsg14
Nsg15
VSHP
p52617
sbNg8
(g9
g10
NtRp52618
(dp52619
g13
Nsg14
Nsg15
V1000m
p52620
sbNg8
(g9
g10
NtRp52621
(dp52622
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52623
sbg8
(g9
g10
NtRp52624
(dp52625
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e374dcbc-0e0a-44f0-8906-25ba4053deb8
p52626
sbg8
(g9
g10
NtRp52627
(dp52628
g13
Nsg14
g74
sg15
V2011
p52629
sbg8
(g9
g10
NtRp52630
(dp52631
g13
Nsg14
g74
sg15
V2011
p52632
sbg8
(g9
g10
NtRp52633
(dp52634
g13
Nsg14
Nsg15
VFALSE
p52635
sbg8
(g9
g10
NtRp52636
(dp52637
g13
Nsg14
Nsg15
VGeographical grid systems
p52638
sbg8
(g9
g10
NtRp52639
(dp52640
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52641
sbg8
(g9
g10
NtRp52642
(dp52643
g13
Nsg14
Nsg15
VFALSE
p52644
sbg8
(g9
g10
NtRp52645
(dp52646
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52647
sbg8
(g9
g10
NtRp52648
(dp52649
g13
Nsg14
Nsg15
VFALSE
p52650
sbNNNNNNNg8
(g9
g10
NtRp52651
(dp52652
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52653
(dp52654
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52655
(dp52656
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-tr_2011
p52657
sbNg8
(g9
g10
NtRp52658
(dp52659
g13
Nsg14
Nsg15
Vobsolete
p52660
sbtp52661
a(g8
(g9
g10
NtRp52662
(dp52663
g13
Nsg14
Nsg15
Vf461f13a-038c-4e3d-bfbe-22e91389dcef
p52664
sbNg8
(g9
g10
NtRp52665
(dp52666
g13
Nsg14
Nsg15
VConservation status of species 2001-2006
p52667
sbNNNNNg8
(g9
g10
NtRp52668
(dp52669
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the  period 2001 to 2006. The data covers the EU 25. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aInformation on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.
p52670
sbg8
(g23
g10
NtRp52671
(dp52672
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec
p52673
sbNg8
(g9
g10
NtRp52674
(dp52675
g13
Nsg14
Nsg15
VFALSE
p52676
sbNNNg8
(g9
g10
NtRp52677
(dp52678
g13
Nsg14
Nsg15
VFALSE
p52679
sbNNg8
(g9
g10
NtRp52680
(dp52681
g13
Nsg14
Nsg15
VFALSE
p52682
sbNNg8
(g9
g10
NtRp52683
(dp52684
g13
Nsg14
Nsg15
VFALSE
p52685
sbNg8
(g9
g10
NtRp52686
(dp52687
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f461f13a-038c-4e3d-bfbe-22e91389dcef.png
p52688
sbg8
(g9
g10
NtRp52689
(dp52690
g13
Nsg14
Nsg15
VEPSG:3035
p52691
sbg8
(g9
g10
NtRp52692
(dp52693
g13
Nsg14
Nsg15
V2019-06-04
p52694
sbNNNg8
(g9
g10
NtRp52695
(dp52696
g13
Nsg14
Nsg15
Vvector
p52697
sbg8
(g9
g10
NtRp52698
(dp52699
g13
Nsg14
Nsg15
VSHP
p52700
sbNg8
(g9
g10
NtRp52701
(dp52702
g13
Nsg14
Nsg15
V1:10000000
p52703
sbNg8
(g9
g10
NtRp52704
(dp52705
g13
Nsg14
Nsg15
VThe Member State supplied species distribution was gridded to 10km or equivalent grids.  This was due to the extreme heterogeneity of the supplied data. The data set covers the EU 25 (Terrestrial and Marine) and corresponds to the period 2001 to 2006.  The data was supplied during the Article 17 (Habitats Directive 92/43/EEC) reporting process.
p52706
sbg8
(g9
g10
NtRp52707
(dp52708
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f461f13a-038c-4e3d-bfbe-22e91389dcef
p52709
sbg8
(g9
g10
NtRp52710
(dp52711
g13
Nsg14
g74
sg15
V2001
p52712
sbg8
(g9
g10
NtRp52713
(dp52714
g13
Nsg14
g74
sg15
V2006
p52715
sbg8
(g9
g10
NtRp52716
(dp52717
g13
Nsg14
Nsg15
VTRUE
p52718
sbg8
(g9
g10
NtRp52719
(dp52720
g13
Nsg14
Nsg15
VHabitats and biotopes|Species distribution
p52721
sbg8
(g9
g10
NtRp52722
(dp52723
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p52724
sbg8
(g9
g10
NtRp52725
(dp52726
g13
Nsg14
Nsg15
VFALSE
p52727
sbg8
(g9
g10
NtRp52728
(dp52729
g13
Nsg14
Nsg15
VEuropean Commission
p52730
sbg8
(g9
g10
NtRp52731
(dp52732
g13
Nsg14
Nsg15
VFALSE
p52733
sbNNNNNNNg8
(g9
g10
NtRp52734
(dp52735
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52736
(dp52737
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52738
(dp52739
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-species_2001-2006
p52740
sbNg8
(g9
g10
NtRp52741
(dp52742
g13
Nsg14
Nsg15
Vsuperseded
p52743
sbtp52744
a(g8
(g9
g10
NtRp52745
(dp52746
g13
Nsg14
Nsg15
V8f086da7-e077-4dab-952b-0d12b00e326e
p52747
sbNg8
(g9
g10
NtRp52748
(dp52749
g13
Nsg14
Nsg15
VEEA reference grid for Serbia (100km), May 2011
p52750
sbNNNNNg8
(g9
g10
NtRp52751
(dp52752
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52753
sbg8
(g23
g10
NtRp52754
(dp52755
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52756
sbNg8
(g9
g10
NtRp52757
(dp52758
g13
Nsg14
Nsg15
VFALSE
p52759
sbNNNg8
(g9
g10
NtRp52760
(dp52761
g13
Nsg14
Nsg15
VFALSE
p52762
sbNNg8
(g9
g10
NtRp52763
(dp52764
g13
Nsg14
Nsg15
VFALSE
p52765
sbNNg8
(g9
g10
NtRp52766
(dp52767
g13
Nsg14
Nsg15
VFALSE
p52768
sbNg8
(g9
g10
NtRp52769
(dp52770
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f086da7-e077-4dab-952b-0d12b00e326e.png
p52771
sbg8
(g9
g10
NtRp52772
(dp52773
g13
Nsg14
Nsg15
VEPSG:3035
p52774
sbg8
(g9
g10
NtRp52775
(dp52776
g13
Nsg14
Nsg15
V2019-06-04
p52777
sbNNNg8
(g9
g10
NtRp52778
(dp52779
g13
Nsg14
Nsg15
Vvector
p52780
sbg8
(g9
g10
NtRp52781
(dp52782
g13
Nsg14
Nsg15
VSHP
p52783
sbNg8
(g9
g10
NtRp52784
(dp52785
g13
Nsg14
Nsg15
V100000m
p52786
sbNg8
(g9
g10
NtRp52787
(dp52788
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52789
sbg8
(g9
g10
NtRp52790
(dp52791
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326e
p52792
sbg8
(g9
g10
NtRp52793
(dp52794
g13
Nsg14
g74
sg15
V2011
p52795
sbg8
(g9
g10
NtRp52796
(dp52797
g13
Nsg14
g74
sg15
V2011
p52798
sbg8
(g9
g10
NtRp52799
(dp52800
g13
Nsg14
Nsg15
VFALSE
p52801
sbg8
(g9
g10
NtRp52802
(dp52803
g13
Nsg14
Nsg15
VGeographical grid systems
p52804
sbg8
(g9
g10
NtRp52805
(dp52806
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52807
sbg8
(g9
g10
NtRp52808
(dp52809
g13
Nsg14
Nsg15
VFALSE
p52810
sbg8
(g9
g10
NtRp52811
(dp52812
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52813
sbg8
(g9
g10
NtRp52814
(dp52815
g13
Nsg14
Nsg15
VFALSE
p52816
sbNNNNNNNg8
(g9
g10
NtRp52817
(dp52818
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52819
(dp52820
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52821
(dp52822
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-rs_2011
p52823
sbNg8
(g9
g10
NtRp52824
(dp52825
g13
Nsg14
Nsg15
Vobsolete
p52826
sbtp52827
a(g8
(g9
g10
NtRp52828
(dp52829
g13
Nsg14
Nsg15
V76f6414b-ffd4-416d-bd34-b8f09068733f
p52830
sbNg8
(g9
g10
NtRp52831
(dp52832
g13
Nsg14
Nsg15
VEEA reference grid for Estonia (1km), May 2011
p52833
sbNNNNNg8
(g9
g10
NtRp52834
(dp52835
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52836
sbg8
(g23
g10
NtRp52837
(dp52838
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52839
sbNg8
(g9
g10
NtRp52840
(dp52841
g13
Nsg14
Nsg15
VFALSE
p52842
sbNNNg8
(g9
g10
NtRp52843
(dp52844
g13
Nsg14
Nsg15
VFALSE
p52845
sbNNg8
(g9
g10
NtRp52846
(dp52847
g13
Nsg14
Nsg15
VFALSE
p52848
sbNNg8
(g9
g10
NtRp52849
(dp52850
g13
Nsg14
Nsg15
VFALSE
p52851
sbNg8
(g9
g10
NtRp52852
(dp52853
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/76f6414b-ffd4-416d-bd34-b8f09068733f.png
p52854
sbg8
(g9
g10
NtRp52855
(dp52856
g13
Nsg14
Nsg15
VEPSG:3035
p52857
sbg8
(g9
g10
NtRp52858
(dp52859
g13
Nsg14
Nsg15
V2019-06-04
p52860
sbNNNg8
(g9
g10
NtRp52861
(dp52862
g13
Nsg14
Nsg15
Vvector
p52863
sbg8
(g9
g10
NtRp52864
(dp52865
g13
Nsg14
Nsg15
VSHP
p52866
sbNg8
(g9
g10
NtRp52867
(dp52868
g13
Nsg14
Nsg15
V1000m
p52869
sbNg8
(g9
g10
NtRp52870
(dp52871
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52872
sbg8
(g9
g10
NtRp52873
(dp52874
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76f6414b-ffd4-416d-bd34-b8f09068733f
p52875
sbg8
(g9
g10
NtRp52876
(dp52877
g13
Nsg14
g74
sg15
V2011
p52878
sbg8
(g9
g10
NtRp52879
(dp52880
g13
Nsg14
g74
sg15
V2011
p52881
sbg8
(g9
g10
NtRp52882
(dp52883
g13
Nsg14
Nsg15
VFALSE
p52884
sbg8
(g9
g10
NtRp52885
(dp52886
g13
Nsg14
Nsg15
VGeographical grid systems
p52887
sbg8
(g9
g10
NtRp52888
(dp52889
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52890
sbg8
(g9
g10
NtRp52891
(dp52892
g13
Nsg14
Nsg15
VFALSE
p52893
sbg8
(g9
g10
NtRp52894
(dp52895
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52896
sbg8
(g9
g10
NtRp52897
(dp52898
g13
Nsg14
Nsg15
VFALSE
p52899
sbNNNNNNNg8
(g9
g10
NtRp52900
(dp52901
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52902
(dp52903
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52904
(dp52905
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ee_2011
p52906
sbNg8
(g9
g10
NtRp52907
(dp52908
g13
Nsg14
Nsg15
Vobsolete
p52909
sbtp52910
a(g8
(g9
g10
NtRp52911
(dp52912
g13
Nsg14
Nsg15
V98bd2c15-1a6d-4717-9850-01e3a44fe60e
p52913
sbNg8
(g9
g10
NtRp52914
(dp52915
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (1km), May 2011
p52916
sbNNNNNg8
(g9
g10
NtRp52917
(dp52918
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p52919
sbg8
(g23
g10
NtRp52920
(dp52921
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p52922
sbNg8
(g9
g10
NtRp52923
(dp52924
g13
Nsg14
Nsg15
VFALSE
p52925
sbNNNg8
(g9
g10
NtRp52926
(dp52927
g13
Nsg14
Nsg15
VFALSE
p52928
sbNNg8
(g9
g10
NtRp52929
(dp52930
g13
Nsg14
Nsg15
VFALSE
p52931
sbNNg8
(g9
g10
NtRp52932
(dp52933
g13
Nsg14
Nsg15
VFALSE
p52934
sbNg8
(g9
g10
NtRp52935
(dp52936
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/98bd2c15-1a6d-4717-9850-01e3a44fe60e.png
p52937
sbg8
(g9
g10
NtRp52938
(dp52939
g13
Nsg14
Nsg15
VEPSG:3035
p52940
sbg8
(g9
g10
NtRp52941
(dp52942
g13
Nsg14
Nsg15
V2019-06-04
p52943
sbNNNg8
(g9
g10
NtRp52944
(dp52945
g13
Nsg14
Nsg15
Vvector
p52946
sbg8
(g9
g10
NtRp52947
(dp52948
g13
Nsg14
Nsg15
VSHP
p52949
sbNg8
(g9
g10
NtRp52950
(dp52951
g13
Nsg14
Nsg15
V1000m
p52952
sbNg8
(g9
g10
NtRp52953
(dp52954
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p52955
sbg8
(g9
g10
NtRp52956
(dp52957
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60e
p52958
sbg8
(g9
g10
NtRp52959
(dp52960
g13
Nsg14
g74
sg15
V2011
p52961
sbg8
(g9
g10
NtRp52962
(dp52963
g13
Nsg14
g74
sg15
V2011
p52964
sbg8
(g9
g10
NtRp52965
(dp52966
g13
Nsg14
Nsg15
VFALSE
p52967
sbg8
(g9
g10
NtRp52968
(dp52969
g13
Nsg14
Nsg15
VGeographical grid systems
p52970
sbg8
(g9
g10
NtRp52971
(dp52972
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p52973
sbg8
(g9
g10
NtRp52974
(dp52975
g13
Nsg14
Nsg15
VFALSE
p52976
sbg8
(g9
g10
NtRp52977
(dp52978
g13
Nsg14
Nsg15
VEuropean Environment Agency
p52979
sbg8
(g9
g10
NtRp52980
(dp52981
g13
Nsg14
Nsg15
VFALSE
p52982
sbNNNNNNNg8
(g9
g10
NtRp52983
(dp52984
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp52985
(dp52986
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp52987
(dp52988
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-me_2011
p52989
sbNg8
(g9
g10
NtRp52990
(dp52991
g13
Nsg14
Nsg15
Vobsolete
p52992
sbtp52993
a(g8
(g9
g10
NtRp52994
(dp52995
g13
Nsg14
Nsg15
V5d75de62-2cbf-452e-85a8-605d8368cc37
p52996
sbNg8
(g9
g10
NtRp52997
(dp52998
g13
Nsg14
Nsg15
VEEA reference grid for Albania (1km), May 2011
p52999
sbNNNNNg8
(g9
g10
NtRp53000
(dp53001
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53002
sbg8
(g23
g10
NtRp53003
(dp53004
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53005
sbNg8
(g9
g10
NtRp53006
(dp53007
g13
Nsg14
Nsg15
VFALSE
p53008
sbNNNg8
(g9
g10
NtRp53009
(dp53010
g13
Nsg14
Nsg15
VFALSE
p53011
sbNNg8
(g9
g10
NtRp53012
(dp53013
g13
Nsg14
Nsg15
VFALSE
p53014
sbNNg8
(g9
g10
NtRp53015
(dp53016
g13
Nsg14
Nsg15
VFALSE
p53017
sbNg8
(g9
g10
NtRp53018
(dp53019
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d75de62-2cbf-452e-85a8-605d8368cc37.png
p53020
sbg8
(g9
g10
NtRp53021
(dp53022
g13
Nsg14
Nsg15
VEPSG:3035
p53023
sbg8
(g9
g10
NtRp53024
(dp53025
g13
Nsg14
Nsg15
V2019-06-04
p53026
sbNNNg8
(g9
g10
NtRp53027
(dp53028
g13
Nsg14
Nsg15
Vvector
p53029
sbg8
(g9
g10
NtRp53030
(dp53031
g13
Nsg14
Nsg15
VSHP
p53032
sbNg8
(g9
g10
NtRp53033
(dp53034
g13
Nsg14
Nsg15
V1000m
p53035
sbNg8
(g9
g10
NtRp53036
(dp53037
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53038
sbg8
(g9
g10
NtRp53039
(dp53040
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d75de62-2cbf-452e-85a8-605d8368cc37
p53041
sbg8
(g9
g10
NtRp53042
(dp53043
g13
Nsg14
g74
sg15
V2011
p53044
sbg8
(g9
g10
NtRp53045
(dp53046
g13
Nsg14
g74
sg15
V2011
p53047
sbg8
(g9
g10
NtRp53048
(dp53049
g13
Nsg14
Nsg15
VFALSE
p53050
sbg8
(g9
g10
NtRp53051
(dp53052
g13
Nsg14
Nsg15
VGeographical grid systems
p53053
sbg8
(g9
g10
NtRp53054
(dp53055
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53056
sbg8
(g9
g10
NtRp53057
(dp53058
g13
Nsg14
Nsg15
VFALSE
p53059
sbg8
(g9
g10
NtRp53060
(dp53061
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53062
sbg8
(g9
g10
NtRp53063
(dp53064
g13
Nsg14
Nsg15
VFALSE
p53065
sbNNNNNNNg8
(g9
g10
NtRp53066
(dp53067
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53068
(dp53069
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53070
(dp53071
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-al_2011
p53072
sbNg8
(g9
g10
NtRp53073
(dp53074
g13
Nsg14
Nsg15
Vobsolete
p53075
sbtp53076
a(g8
(g9
g10
NtRp53077
(dp53078
g13
Nsg14
Nsg15
Ve9f7f959-6f63-4c96-a47c-e4f1541eba51
p53079
sbNg8
(g9
g10
NtRp53080
(dp53081
g13
Nsg14
Nsg15
VEEA reference grid for Hungary (1km), May 2011
p53082
sbNNNNNg8
(g9
g10
NtRp53083
(dp53084
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53085
sbg8
(g23
g10
NtRp53086
(dp53087
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53088
sbNg8
(g9
g10
NtRp53089
(dp53090
g13
Nsg14
Nsg15
VFALSE
p53091
sbNNNg8
(g9
g10
NtRp53092
(dp53093
g13
Nsg14
Nsg15
VFALSE
p53094
sbNNg8
(g9
g10
NtRp53095
(dp53096
g13
Nsg14
Nsg15
VFALSE
p53097
sbNNg8
(g9
g10
NtRp53098
(dp53099
g13
Nsg14
Nsg15
VFALSE
p53100
sbNg8
(g9
g10
NtRp53101
(dp53102
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9f7f959-6f63-4c96-a47c-e4f1541eba51.png
p53103
sbg8
(g9
g10
NtRp53104
(dp53105
g13
Nsg14
Nsg15
VEPSG:3035
p53106
sbg8
(g9
g10
NtRp53107
(dp53108
g13
Nsg14
Nsg15
V2019-06-04
p53109
sbNNNg8
(g9
g10
NtRp53110
(dp53111
g13
Nsg14
Nsg15
Vvector
p53112
sbg8
(g9
g10
NtRp53113
(dp53114
g13
Nsg14
Nsg15
VSHP
p53115
sbNg8
(g9
g10
NtRp53116
(dp53117
g13
Nsg14
Nsg15
V1000m
p53118
sbNg8
(g9
g10
NtRp53119
(dp53120
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53121
sbg8
(g9
g10
NtRp53122
(dp53123
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9f7f959-6f63-4c96-a47c-e4f1541eba51
p53124
sbg8
(g9
g10
NtRp53125
(dp53126
g13
Nsg14
g74
sg15
V2011
p53127
sbg8
(g9
g10
NtRp53128
(dp53129
g13
Nsg14
g74
sg15
V2011
p53130
sbg8
(g9
g10
NtRp53131
(dp53132
g13
Nsg14
Nsg15
VFALSE
p53133
sbg8
(g9
g10
NtRp53134
(dp53135
g13
Nsg14
Nsg15
VGeographical grid systems
p53136
sbg8
(g9
g10
NtRp53137
(dp53138
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53139
sbg8
(g9
g10
NtRp53140
(dp53141
g13
Nsg14
Nsg15
VFALSE
p53142
sbg8
(g9
g10
NtRp53143
(dp53144
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53145
sbg8
(g9
g10
NtRp53146
(dp53147
g13
Nsg14
Nsg15
VFALSE
p53148
sbNNNNNNNg8
(g9
g10
NtRp53149
(dp53150
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53151
(dp53152
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53153
(dp53154
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-hu_2011
p53155
sbNg8
(g9
g10
NtRp53156
(dp53157
g13
Nsg14
Nsg15
Vobsolete
p53158
sbtp53159
a(g8
(g9
g10
NtRp53160
(dp53161
g13
Nsg14
Nsg15
Va528d40c-8980-4545-bae4-3b5da706cc1f
p53162
sbNg8
(g9
g10
NtRp53163
(dp53164
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (1km), May 2011
p53165
sbNNNNNg8
(g9
g10
NtRp53166
(dp53167
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53168
sbg8
(g23
g10
NtRp53169
(dp53170
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53171
sbNg8
(g9
g10
NtRp53172
(dp53173
g13
Nsg14
Nsg15
VFALSE
p53174
sbNNNg8
(g9
g10
NtRp53175
(dp53176
g13
Nsg14
Nsg15
VFALSE
p53177
sbNNg8
(g9
g10
NtRp53178
(dp53179
g13
Nsg14
Nsg15
VFALSE
p53180
sbNNg8
(g9
g10
NtRp53181
(dp53182
g13
Nsg14
Nsg15
VFALSE
p53183
sbNg8
(g9
g10
NtRp53184
(dp53185
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a528d40c-8980-4545-bae4-3b5da706cc1f.png
p53186
sbg8
(g9
g10
NtRp53187
(dp53188
g13
Nsg14
Nsg15
VEPSG:3035
p53189
sbg8
(g9
g10
NtRp53190
(dp53191
g13
Nsg14
Nsg15
V2019-06-04
p53192
sbNNNg8
(g9
g10
NtRp53193
(dp53194
g13
Nsg14
Nsg15
Vvector
p53195
sbg8
(g9
g10
NtRp53196
(dp53197
g13
Nsg14
Nsg15
VSHP
p53198
sbNg8
(g9
g10
NtRp53199
(dp53200
g13
Nsg14
Nsg15
V1000m
p53201
sbNg8
(g9
g10
NtRp53202
(dp53203
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53204
sbg8
(g9
g10
NtRp53205
(dp53206
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a528d40c-8980-4545-bae4-3b5da706cc1f
p53207
sbg8
(g9
g10
NtRp53208
(dp53209
g13
Nsg14
g74
sg15
V2011
p53210
sbg8
(g9
g10
NtRp53211
(dp53212
g13
Nsg14
g74
sg15
V2011
p53213
sbg8
(g9
g10
NtRp53214
(dp53215
g13
Nsg14
Nsg15
VFALSE
p53216
sbg8
(g9
g10
NtRp53217
(dp53218
g13
Nsg14
Nsg15
VGeographical grid systems
p53219
sbg8
(g9
g10
NtRp53220
(dp53221
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53222
sbg8
(g9
g10
NtRp53223
(dp53224
g13
Nsg14
Nsg15
VFALSE
p53225
sbg8
(g9
g10
NtRp53226
(dp53227
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53228
sbg8
(g9
g10
NtRp53229
(dp53230
g13
Nsg14
Nsg15
VFALSE
p53231
sbNNNNNNNg8
(g9
g10
NtRp53232
(dp53233
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53234
(dp53235
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53236
(dp53237
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ba_2011
p53238
sbNg8
(g9
g10
NtRp53239
(dp53240
g13
Nsg14
Nsg15
Vobsolete
p53241
sbtp53242
a(g8
(g9
g10
NtRp53243
(dp53244
g13
Nsg14
Nsg15
V74cc2d96-c822-4e4c-98fb-bb58714f94c8
p53245
sbNg8
(g9
g10
NtRp53246
(dp53247
g13
Nsg14
Nsg15
VEEA reference grid for Romania (10km), May 2011
p53248
sbNNNNNg8
(g9
g10
NtRp53249
(dp53250
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53251
sbg8
(g23
g10
NtRp53252
(dp53253
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53254
sbNg8
(g9
g10
NtRp53255
(dp53256
g13
Nsg14
Nsg15
VFALSE
p53257
sbNNNg8
(g9
g10
NtRp53258
(dp53259
g13
Nsg14
Nsg15
VFALSE
p53260
sbNNg8
(g9
g10
NtRp53261
(dp53262
g13
Nsg14
Nsg15
VFALSE
p53263
sbNNg8
(g9
g10
NtRp53264
(dp53265
g13
Nsg14
Nsg15
VFALSE
p53266
sbNg8
(g9
g10
NtRp53267
(dp53268
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74cc2d96-c822-4e4c-98fb-bb58714f94c8.png
p53269
sbg8
(g9
g10
NtRp53270
(dp53271
g13
Nsg14
Nsg15
VEPSG:3035
p53272
sbg8
(g9
g10
NtRp53273
(dp53274
g13
Nsg14
Nsg15
V2019-06-04
p53275
sbNNNg8
(g9
g10
NtRp53276
(dp53277
g13
Nsg14
Nsg15
Vvector
p53278
sbg8
(g9
g10
NtRp53279
(dp53280
g13
Nsg14
Nsg15
VSHP
p53281
sbNg8
(g9
g10
NtRp53282
(dp53283
g13
Nsg14
Nsg15
V10000m
p53284
sbNg8
(g9
g10
NtRp53285
(dp53286
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53287
sbg8
(g9
g10
NtRp53288
(dp53289
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74cc2d96-c822-4e4c-98fb-bb58714f94c8
p53290
sbg8
(g9
g10
NtRp53291
(dp53292
g13
Nsg14
g74
sg15
V2011
p53293
sbg8
(g9
g10
NtRp53294
(dp53295
g13
Nsg14
g74
sg15
V2011
p53296
sbg8
(g9
g10
NtRp53297
(dp53298
g13
Nsg14
Nsg15
VFALSE
p53299
sbg8
(g9
g10
NtRp53300
(dp53301
g13
Nsg14
Nsg15
VGeographical grid systems
p53302
sbg8
(g9
g10
NtRp53303
(dp53304
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53305
sbg8
(g9
g10
NtRp53306
(dp53307
g13
Nsg14
Nsg15
VFALSE
p53308
sbg8
(g9
g10
NtRp53309
(dp53310
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53311
sbg8
(g9
g10
NtRp53312
(dp53313
g13
Nsg14
Nsg15
VFALSE
p53314
sbNNNNNNNg8
(g9
g10
NtRp53315
(dp53316
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53317
(dp53318
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53319
(dp53320
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ro_2011
p53321
sbNg8
(g9
g10
NtRp53322
(dp53323
g13
Nsg14
Nsg15
Vobsolete
p53324
sbtp53325
a(g8
(g9
g10
NtRp53326
(dp53327
g13
Nsg14
Nsg15
V50ac55b9-f48d-4baa-bf44-f7e2d8904c6d
p53328
sbNg8
(g9
g10
NtRp53329
(dp53330
g13
Nsg14
Nsg15
VEEA reference grid for Italy (100km), May 2011
p53331
sbNNNNNg8
(g9
g10
NtRp53332
(dp53333
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53334
sbg8
(g23
g10
NtRp53335
(dp53336
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53337
sbNg8
(g9
g10
NtRp53338
(dp53339
g13
Nsg14
Nsg15
VFALSE
p53340
sbNNNg8
(g9
g10
NtRp53341
(dp53342
g13
Nsg14
Nsg15
VFALSE
p53343
sbNNg8
(g9
g10
NtRp53344
(dp53345
g13
Nsg14
Nsg15
VFALSE
p53346
sbNNg8
(g9
g10
NtRp53347
(dp53348
g13
Nsg14
Nsg15
VFALSE
p53349
sbNg8
(g9
g10
NtRp53350
(dp53351
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/50ac55b9-f48d-4baa-bf44-f7e2d8904c6d.png
p53352
sbg8
(g9
g10
NtRp53353
(dp53354
g13
Nsg14
Nsg15
VEPSG:3035
p53355
sbg8
(g9
g10
NtRp53356
(dp53357
g13
Nsg14
Nsg15
V2019-06-04
p53358
sbNNNg8
(g9
g10
NtRp53359
(dp53360
g13
Nsg14
Nsg15
Vvector
p53361
sbg8
(g9
g10
NtRp53362
(dp53363
g13
Nsg14
Nsg15
VSHP
p53364
sbNg8
(g9
g10
NtRp53365
(dp53366
g13
Nsg14
Nsg15
V100000m
p53367
sbNg8
(g9
g10
NtRp53368
(dp53369
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53370
sbg8
(g9
g10
NtRp53371
(dp53372
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50ac55b9-f48d-4baa-bf44-f7e2d8904c6d
p53373
sbg8
(g9
g10
NtRp53374
(dp53375
g13
Nsg14
g74
sg15
V2011
p53376
sbg8
(g9
g10
NtRp53377
(dp53378
g13
Nsg14
g74
sg15
V2011
p53379
sbg8
(g9
g10
NtRp53380
(dp53381
g13
Nsg14
Nsg15
VFALSE
p53382
sbg8
(g9
g10
NtRp53383
(dp53384
g13
Nsg14
Nsg15
VGeographical grid systems
p53385
sbg8
(g9
g10
NtRp53386
(dp53387
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53388
sbg8
(g9
g10
NtRp53389
(dp53390
g13
Nsg14
Nsg15
VFALSE
p53391
sbg8
(g9
g10
NtRp53392
(dp53393
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53394
sbg8
(g9
g10
NtRp53395
(dp53396
g13
Nsg14
Nsg15
VFALSE
p53397
sbNNNNNNNg8
(g9
g10
NtRp53398
(dp53399
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53400
(dp53401
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53402
(dp53403
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-it_2011
p53404
sbNg8
(g9
g10
NtRp53405
(dp53406
g13
Nsg14
Nsg15
Vobsolete
p53407
sbtp53408
a(g8
(g9
g10
NtRp53409
(dp53410
g13
Nsg14
Nsg15
Vc651bc41-d5da-49de-ba47-c51eabbb2007
p53411
sbNg8
(g9
g10
NtRp53412
(dp53413
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (100km), May 2011
p53414
sbNNNNNg8
(g9
g10
NtRp53415
(dp53416
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p53417
sbg8
(g23
g10
NtRp53418
(dp53419
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1
p53420
sbNg8
(g9
g10
NtRp53421
(dp53422
g13
Nsg14
Nsg15
VFALSE
p53423
sbNNNg8
(g9
g10
NtRp53424
(dp53425
g13
Nsg14
Nsg15
VFALSE
p53426
sbNNg8
(g9
g10
NtRp53427
(dp53428
g13
Nsg14
Nsg15
VFALSE
p53429
sbNNg8
(g9
g10
NtRp53430
(dp53431
g13
Nsg14
Nsg15
VFALSE
p53432
sbNg8
(g9
g10
NtRp53433
(dp53434
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c651bc41-d5da-49de-ba47-c51eabbb2007.png
p53435
sbg8
(g9
g10
NtRp53436
(dp53437
g13
Nsg14
Nsg15
VEPSG:3035
p53438
sbg8
(g9
g10
NtRp53439
(dp53440
g13
Nsg14
Nsg15
V2019-06-04
p53441
sbNNNg8
(g9
g10
NtRp53442
(dp53443
g13
Nsg14
Nsg15
Vvector
p53444
sbg8
(g9
g10
NtRp53445
(dp53446
g13
Nsg14
Nsg15
VSHP
p53447
sbNg8
(g9
g10
NtRp53448
(dp53449
g13
Nsg14
Nsg15
V100000m
p53450
sbNg8
(g9
g10
NtRp53451
(dp53452
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p53453
sbg8
(g9
g10
NtRp53454
(dp53455
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c651bc41-d5da-49de-ba47-c51eabbb2007
p53456
sbg8
(g9
g10
NtRp53457
(dp53458
g13
Nsg14
g74
sg15
V2011
p53459
sbg8
(g9
g10
NtRp53460
(dp53461
g13
Nsg14
g74
sg15
V2011
p53462
sbg8
(g9
g10
NtRp53463
(dp53464
g13
Nsg14
Nsg15
VFALSE
p53465
sbg8
(g9
g10
NtRp53466
(dp53467
g13
Nsg14
Nsg15
VGeographical grid systems
p53468
sbg8
(g9
g10
NtRp53469
(dp53470
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53471
sbg8
(g9
g10
NtRp53472
(dp53473
g13
Nsg14
Nsg15
VFALSE
p53474
sbg8
(g9
g10
NtRp53475
(dp53476
g13
Nsg14
Nsg15
VEuropean Environment Agency
p53477
sbg8
(g9
g10
NtRp53478
(dp53479
g13
Nsg14
Nsg15
VFALSE
p53480
sbNNNNNNNg8
(g9
g10
NtRp53481
(dp53482
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53483
(dp53484
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53485
(dp53486
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-tr_2011
p53487
sbNg8
(g9
g10
NtRp53488
(dp53489
g13
Nsg14
Nsg15
Vobsolete
p53490
sbtp53491
a(g8
(g9
g10
NtRp53492
(dp53493
g13
Nsg14
Nsg15
Vb96f0885-e2e0-434b-92fd-3740e376b3eb
p53494
sbNg8
(g9
g10
NtRp53495
(dp53496
g13
Nsg14
Nsg15
VNatura 2000 250 m (raster) - mid 2009
p53497
sbNNNNNg8
(g9
g10
NtRp53498
(dp53499
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53500
sbNNg8
(g9
g10
NtRp53501
(dp53502
g13
Nsg14
Nsg15
VFALSE
p53503
sbNNNg8
(g9
g10
NtRp53504
(dp53505
g13
Nsg14
Nsg15
VFALSE
p53506
sbNNg8
(g9
g10
NtRp53507
(dp53508
g13
Nsg14
Nsg15
VFALSE
p53509
sbNNg8
(g9
g10
NtRp53510
(dp53511
g13
Nsg14
Nsg15
VFALSE
p53512
sbNg8
(g9
g10
NtRp53513
(dp53514
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96f0885-e2e0-434b-92fd-3740e376b3eb.png
p53515
sbg8
(g9
g10
NtRp53516
(dp53517
g13
Nsg14
Nsg15
VEPSG:3035
p53518
sbg8
(g9
g10
NtRp53519
(dp53520
g13
Nsg14
Nsg15
V2019-06-04
p53521
sbNNNg8
(g9
g10
NtRp53522
(dp53523
g13
Nsg14
Nsg15
Vgrid
p53524
sbg8
(g9
g10
NtRp53525
(dp53526
g13
Nsg14
Nsg15
VGtiff
p53527
sbNg8
(g9
g10
NtRp53528
(dp53529
g13
Nsg14
Nsg15
V250m
p53530
sbNg8
(g9
g10
NtRp53531
(dp53532
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53533
sbg8
(g9
g10
NtRp53534
(dp53535
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96f0885-e2e0-434b-92fd-3740e376b3eb
p53536
sbNNg8
(g9
g10
NtRp53537
(dp53538
g13
Nsg14
Nsg15
VFALSE
p53539
sbg8
(g9
g10
NtRp53540
(dp53541
g13
Nsg14
Nsg15
VProtected sites
p53542
sbg8
(g9
g10
NtRp53543
(dp53544
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53545
sbg8
(g9
g10
NtRp53546
(dp53547
g13
Nsg14
Nsg15
VFALSE
p53548
sbg8
(g9
g10
NtRp53549
(dp53550
g13
Nsg14
Nsg15
VEuropean Commission
p53551
sbg8
(g9
g10
NtRp53552
(dp53553
g13
Nsg14
Nsg15
VFALSE
p53554
sbNNNNNNNg8
(g9
g10
NtRp53555
(dp53556
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53557
(dp53558
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53559
(dp53560
g13
Nsg14
Nsg15
Veea_r_3035_250_m_nature-sites_200901-200905
p53561
sbNg8
(g9
g10
NtRp53562
(dp53563
g13
Nsg14
Nsg15
Vobsolete
p53564
sbtp53565
a(g8
(g9
g10
NtRp53566
(dp53567
g13
Nsg14
Nsg15
V8094fb5f-1e00-4651-8fbb-56bcdab70070
p53568
sbNg8
(g9
g10
NtRp53569
(dp53570
g13
Nsg14
Nsg15
VNatura 2000 (vector) 100 k - end 2011 - INTERNAL VERSION
p53571
sbNNNNNg8
(g9
g10
NtRp53572
(dp53573
g13
Nsg14
Nsg15
VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\u000a\u000aNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a\u000aFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\u000a\u000aThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\u000a\u000aThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. \u000a\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom.  If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Ireland, Latvia, Luxembourg, Malta, Romania, Slovakia, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. Certain descriptive fields, possibly mentioning the presence of these species, have also been removed. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
p53574
sbNNg8
(g9
g10
NtRp53575
(dp53576
g13
Nsg14
Nsg15
VFALSE
p53577
sbNNNg8
(g9
g10
NtRp53578
(dp53579
g13
Nsg14
Nsg15
VFALSE
p53580
sbNNg8
(g9
g10
NtRp53581
(dp53582
g13
Nsg14
Nsg15
VFALSE
p53583
sbNNg8
(g9
g10
NtRp53584
(dp53585
g13
Nsg14
Nsg15
VFALSE
p53586
sbNg8
(g9
g10
NtRp53587
(dp53588
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8094fb5f-1e00-4651-8fbb-56bcdab70070.png
p53589
sbg8
(g9
g10
NtRp53590
(dp53591
g13
Nsg14
Nsg15
VEPSG:3035
p53592
sbg8
(g9
g10
NtRp53593
(dp53594
g13
Nsg14
Nsg15
V2019-06-04
p53595
sbNNNg8
(g9
g10
NtRp53596
(dp53597
g13
Nsg14
Nsg15
Vvector
p53598
sbg8
(g9
g10
NtRp53599
(dp53600
g13
Nsg14
Nsg15
VSHP
p53601
sbNg8
(g9
g10
NtRp53602
(dp53603
g13
Nsg14
Nsg15
V1:100000
p53604
sbNg8
(g9
g10
NtRp53605
(dp53606
g13
Nsg14
Nsg15
VMember States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.
p53607
sbg8
(g9
g10
NtRp53608
(dp53609
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8094fb5f-1e00-4651-8fbb-56bcdab70070
p53610
sbNNg8
(g9
g10
NtRp53611
(dp53612
g13
Nsg14
Nsg15
VFALSE
p53613
sbg8
(g9
g10
NtRp53614
(dp53615
g13
Nsg14
Nsg15
VProtected sites
p53616
sbg8
(g9
g10
NtRp53617
(dp53618
g13
Nsg14
Nsg15
VAccess restricted to EEA, ETCs and EC.
p53619
sbg8
(g9
g10
NtRp53620
(dp53621
g13
Nsg14
Nsg15
VFALSE
p53622
sbg8
(g9
g10
NtRp53623
(dp53624
g13
Nsg14
Nsg15
VEuropean Commission
p53625
sbg8
(g9
g10
NtRp53626
(dp53627
g13
Nsg14
Nsg15
VFALSE
p53628
sbNNNNNNNg8
(g9
g10
NtRp53629
(dp53630
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53631
(dp53632
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53633
(dp53634
g13
Nsg14
Nsg15
Veea_v_3035_100_k_natura2000-internal_2011
p53635
sbNg8
(g9
g10
NtRp53636
(dp53637
g13
Nsg14
Nsg15
Vsuperseded
p53638
sbtp53639
a(g8
(g9
g10
NtRp53640
(dp53641
g13
Nsg14
Nsg15
V5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc
p53642
sbNg8
(g9
g10
NtRp53643
(dp53644
g13
Nsg14
Nsg15
VNatura 2000 1 km (raster) - end 2011
p53645
sbNNNNNg8
(g9
g10
NtRp53646
(dp53647
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53648
sbNNg8
(g9
g10
NtRp53649
(dp53650
g13
Nsg14
Nsg15
VFALSE
p53651
sbNNNg8
(g9
g10
NtRp53652
(dp53653
g13
Nsg14
Nsg15
VFALSE
p53654
sbNNg8
(g9
g10
NtRp53655
(dp53656
g13
Nsg14
Nsg15
VFALSE
p53657
sbNNg8
(g9
g10
NtRp53658
(dp53659
g13
Nsg14
Nsg15
VFALSE
p53660
sbNg8
(g9
g10
NtRp53661
(dp53662
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc.png
p53663
sbg8
(g9
g10
NtRp53664
(dp53665
g13
Nsg14
Nsg15
VEPSG:3035
p53666
sbg8
(g9
g10
NtRp53667
(dp53668
g13
Nsg14
Nsg15
V2019-06-04
p53669
sbNNNg8
(g9
g10
NtRp53670
(dp53671
g13
Nsg14
Nsg15
Vgrid
p53672
sbg8
(g9
g10
NtRp53673
(dp53674
g13
Nsg14
Nsg15
VGtiff
p53675
sbNg8
(g9
g10
NtRp53676
(dp53677
g13
Nsg14
Nsg15
V1000m
p53678
sbNg8
(g9
g10
NtRp53679
(dp53680
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\u000a\u000a0. The input vector data, from EEA SDI\u000ahttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\u000a\u000a1. Rasterisation with GDAL tools (takes ~2 hours)\u000a$ for res in 100 250 1000 ; do\u000a  gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \u005c\u000a      -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done
p53681
sbg8
(g9
g10
NtRp53682
(dp53683
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc
p53684
sbNNg8
(g9
g10
NtRp53685
(dp53686
g13
Nsg14
Nsg15
VFALSE
p53687
sbg8
(g9
g10
NtRp53688
(dp53689
g13
Nsg14
Nsg15
VProtected sites
p53690
sbg8
(g9
g10
NtRp53691
(dp53692
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p53693
sbg8
(g9
g10
NtRp53694
(dp53695
g13
Nsg14
Nsg15
VFALSE
p53696
sbg8
(g9
g10
NtRp53697
(dp53698
g13
Nsg14
Nsg15
VEuropean Commission
p53699
sbg8
(g9
g10
NtRp53700
(dp53701
g13
Nsg14
Nsg15
VFALSE
p53702
sbNNNNNNNg8
(g9
g10
NtRp53703
(dp53704
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53705
(dp53706
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53707
(dp53708
g13
Nsg14
Nsg15
Veea_r_3035_1000_m_nature-sites_2011
p53709
sbNg8
(g9
g10
NtRp53710
(dp53711
g13
Nsg14
Nsg15
Vobsolete
p53712
sbtp53713
a(g8
(g9
g10
NtRp53714
(dp53715
g13
Nsg14
Nsg15
V72eac9d9-8f54-42ad-9a66-f40a5e58f0c4
p53716
sbNg8
(g9
g10
NtRp53717
(dp53718
g13
Nsg14
Nsg15
VNatura 2000 100 m (raster) - mid 2009
p53719
sbNNNNNg8
(g9
g10
NtRp53720
(dp53721
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53722
sbNNg8
(g9
g10
NtRp53723
(dp53724
g13
Nsg14
Nsg15
VFALSE
p53725
sbNNNg8
(g9
g10
NtRp53726
(dp53727
g13
Nsg14
Nsg15
VFALSE
p53728
sbNNg8
(g9
g10
NtRp53729
(dp53730
g13
Nsg14
Nsg15
VFALSE
p53731
sbNNg8
(g9
g10
NtRp53732
(dp53733
g13
Nsg14
Nsg15
VFALSE
p53734
sbNg8
(g9
g10
NtRp53735
(dp53736
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4.png
p53737
sbg8
(g9
g10
NtRp53738
(dp53739
g13
Nsg14
Nsg15
VEPSG:3035
p53740
sbg8
(g9
g10
NtRp53741
(dp53742
g13
Nsg14
Nsg15
V2019-06-04
p53743
sbNNNg8
(g9
g10
NtRp53744
(dp53745
g13
Nsg14
Nsg15
Vgrid
p53746
sbg8
(g9
g10
NtRp53747
(dp53748
g13
Nsg14
Nsg15
VGtiff
p53749
sbNg8
(g9
g10
NtRp53750
(dp53751
g13
Nsg14
Nsg15
V100m
p53752
sbNg8
(g9
g10
NtRp53753
(dp53754
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53755
sbg8
(g9
g10
NtRp53756
(dp53757
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4
p53758
sbNNg8
(g9
g10
NtRp53759
(dp53760
g13
Nsg14
Nsg15
VFALSE
p53761
sbg8
(g9
g10
NtRp53762
(dp53763
g13
Nsg14
Nsg15
VProtected sites
p53764
sbg8
(g9
g10
NtRp53765
(dp53766
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53767
sbg8
(g9
g10
NtRp53768
(dp53769
g13
Nsg14
Nsg15
VFALSE
p53770
sbg8
(g9
g10
NtRp53771
(dp53772
g13
Nsg14
Nsg15
VEuropean Commission
p53773
sbg8
(g9
g10
NtRp53774
(dp53775
g13
Nsg14
Nsg15
VFALSE
p53776
sbNNNNNNNg8
(g9
g10
NtRp53777
(dp53778
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53779
(dp53780
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53781
(dp53782
g13
Nsg14
Nsg15
Veea_r_3035_100_m_nature-sites_200901-200905
p53783
sbNg8
(g9
g10
NtRp53784
(dp53785
g13
Nsg14
Nsg15
Vobsolete
p53786
sbtp53787
a(g8
(g9
g10
NtRp53788
(dp53789
g13
Nsg14
Nsg15
V28d8bb0d-7194-4451-98d1-382166e8bdb8
p53790
sbNg8
(g9
g10
NtRp53791
(dp53792
g13
Nsg14
Nsg15
VNatura 2000 100 m (raster) - end 2011
p53793
sbNNNNNg8
(g9
g10
NtRp53794
(dp53795
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53796
sbNNg8
(g9
g10
NtRp53797
(dp53798
g13
Nsg14
Nsg15
VFALSE
p53799
sbNNNg8
(g9
g10
NtRp53800
(dp53801
g13
Nsg14
Nsg15
VFALSE
p53802
sbNNg8
(g9
g10
NtRp53803
(dp53804
g13
Nsg14
Nsg15
VFALSE
p53805
sbNNg8
(g9
g10
NtRp53806
(dp53807
g13
Nsg14
Nsg15
VFALSE
p53808
sbNg8
(g9
g10
NtRp53809
(dp53810
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28d8bb0d-7194-4451-98d1-382166e8bdb8.png
p53811
sbg8
(g9
g10
NtRp53812
(dp53813
g13
Nsg14
Nsg15
VEPSG:3035
p53814
sbg8
(g9
g10
NtRp53815
(dp53816
g13
Nsg14
Nsg15
V2019-06-04
p53817
sbNNNg8
(g9
g10
NtRp53818
(dp53819
g13
Nsg14
Nsg15
Vgrid
p53820
sbg8
(g9
g10
NtRp53821
(dp53822
g13
Nsg14
Nsg15
VGtiff
p53823
sbNg8
(g9
g10
NtRp53824
(dp53825
g13
Nsg14
Nsg15
V100m
p53826
sbNg8
(g9
g10
NtRp53827
(dp53828
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\u000a\u000a0. The input vector data, from EEA SDI\u000ahttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\u000a\u000a1. Rasterisation with GDAL tools (takes ~2 hours)\u000a$ for res in 100 250 1000 ; do\u000a  gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \u005c\u000a      -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done
p53829
sbg8
(g9
g10
NtRp53830
(dp53831
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28d8bb0d-7194-4451-98d1-382166e8bdb8
p53832
sbNNg8
(g9
g10
NtRp53833
(dp53834
g13
Nsg14
Nsg15
VFALSE
p53835
sbg8
(g9
g10
NtRp53836
(dp53837
g13
Nsg14
Nsg15
VProtected sites
p53838
sbg8
(g9
g10
NtRp53839
(dp53840
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p53841
sbg8
(g9
g10
NtRp53842
(dp53843
g13
Nsg14
Nsg15
VFALSE
p53844
sbg8
(g9
g10
NtRp53845
(dp53846
g13
Nsg14
Nsg15
VEuropean Commission
p53847
sbg8
(g9
g10
NtRp53848
(dp53849
g13
Nsg14
Nsg15
VFALSE
p53850
sbNNNNNNNg8
(g9
g10
NtRp53851
(dp53852
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53853
(dp53854
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53855
(dp53856
g13
Nsg14
Nsg15
Veea_r_3035_100_m_nature-sites_2011
p53857
sbNg8
(g9
g10
NtRp53858
(dp53859
g13
Nsg14
Nsg15
Vobsolete
p53860
sbtp53861
a(g8
(g9
g10
NtRp53862
(dp53863
g13
Nsg14
Nsg15
V0d37f931-0f69-49a7-8efc-3409071a39aa
p53864
sbNg8
(g9
g10
NtRp53865
(dp53866
g13
Nsg14
Nsg15
VNatura 2000 250 m (raster) - end 2011
p53867
sbNNNNNg8
(g9
g10
NtRp53868
(dp53869
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53870
sbNNg8
(g9
g10
NtRp53871
(dp53872
g13
Nsg14
Nsg15
VFALSE
p53873
sbNNNg8
(g9
g10
NtRp53874
(dp53875
g13
Nsg14
Nsg15
VFALSE
p53876
sbNNg8
(g9
g10
NtRp53877
(dp53878
g13
Nsg14
Nsg15
VFALSE
p53879
sbNNg8
(g9
g10
NtRp53880
(dp53881
g13
Nsg14
Nsg15
VFALSE
p53882
sbNg8
(g9
g10
NtRp53883
(dp53884
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d37f931-0f69-49a7-8efc-3409071a39aa.png
p53885
sbg8
(g9
g10
NtRp53886
(dp53887
g13
Nsg14
Nsg15
VEPSG:3035
p53888
sbg8
(g9
g10
NtRp53889
(dp53890
g13
Nsg14
Nsg15
V2019-06-04
p53891
sbNNNg8
(g9
g10
NtRp53892
(dp53893
g13
Nsg14
Nsg15
Vgrid
p53894
sbg8
(g9
g10
NtRp53895
(dp53896
g13
Nsg14
Nsg15
VGtiff
p53897
sbNg8
(g9
g10
NtRp53898
(dp53899
g13
Nsg14
Nsg15
V250m
p53900
sbNg8
(g9
g10
NtRp53901
(dp53902
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\u000a\u000a0. The input vector data, from EEA SDI\u000ahttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\u000a\u000a1. Rasterisation with GDAL tools (takes ~2 hours)\u000a$ for res in 100 250 1000 ; do\u000a  gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \u005c\u000a      -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done
p53903
sbg8
(g9
g10
NtRp53904
(dp53905
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d37f931-0f69-49a7-8efc-3409071a39aa
p53906
sbNNg8
(g9
g10
NtRp53907
(dp53908
g13
Nsg14
Nsg15
VFALSE
p53909
sbg8
(g9
g10
NtRp53910
(dp53911
g13
Nsg14
Nsg15
VProtected sites
p53912
sbg8
(g9
g10
NtRp53913
(dp53914
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p53915
sbg8
(g9
g10
NtRp53916
(dp53917
g13
Nsg14
Nsg15
VFALSE
p53918
sbg8
(g9
g10
NtRp53919
(dp53920
g13
Nsg14
Nsg15
VEuropean Commission
p53921
sbg8
(g9
g10
NtRp53922
(dp53923
g13
Nsg14
Nsg15
VFALSE
p53924
sbNNNNNNNg8
(g9
g10
NtRp53925
(dp53926
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp53927
(dp53928
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp53929
(dp53930
g13
Nsg14
Nsg15
Veea_r_3035_250_m_nature-sites_2011
p53931
sbNg8
(g9
g10
NtRp53932
(dp53933
g13
Nsg14
Nsg15
Vobsolete
p53934
sbtp53935
a(g8
(g9
g10
NtRp53936
(dp53937
g13
Nsg14
Nsg15
V5a805097-854d-40cf-816c-9954fb47439c
p53938
sbNg8
(g9
g10
NtRp53939
(dp53940
g13
Nsg14
Nsg15
VNatura 2000 1 km (raster) - mid 2009
p53941
sbNNNNNg8
(g9
g10
NtRp53942
(dp53943
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53944
sbNNg8
(g9
g10
NtRp53945
(dp53946
g13
Nsg14
Nsg15
VFALSE
p53947
sbNNNg8
(g9
g10
NtRp53948
(dp53949
g13
Nsg14
Nsg15
VFALSE
p53950
sbNNg8
(g9
g10
NtRp53951
(dp53952
g13
Nsg14
Nsg15
VFALSE
p53953
sbNNg8
(g9
g10
NtRp53954
(dp53955
g13
Nsg14
Nsg15
VFALSE
p53956
sbNg8
(g9
g10
NtRp53957
(dp53958
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a805097-854d-40cf-816c-9954fb47439c.png
p53959
sbg8
(g9
g10
NtRp53960
(dp53961
g13
Nsg14
Nsg15
VEPSG:3035
p53962
sbg8
(g9
g10
NtRp53963
(dp53964
g13
Nsg14
Nsg15
V2019-06-04
p53965
sbNNNg8
(g9
g10
NtRp53966
(dp53967
g13
Nsg14
Nsg15
Vgrid
p53968
sbg8
(g9
g10
NtRp53969
(dp53970
g13
Nsg14
Nsg15
VGtiff
p53971
sbNg8
(g9
g10
NtRp53972
(dp53973
g13
Nsg14
Nsg15
V1000m
p53974
sbNg8
(g9
g10
NtRp53975
(dp53976
g13
Nsg14
Nsg15
VThis dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.
p53977
sbg8
(g9
g10
NtRp53978
(dp53979
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a805097-854d-40cf-816c-9954fb47439c
p53980
sbg8
(g9
g10
NtRp53981
(dp53982
g13
Nsg14
g74
sg15
V2009
p53983
sbg8
(g9
g10
NtRp53984
(dp53985
g13
Nsg14
g74
sg15
V2009
p53986
sbg8
(g9
g10
NtRp53987
(dp53988
g13
Nsg14
Nsg15
VFALSE
p53989
sbg8
(g9
g10
NtRp53990
(dp53991
g13
Nsg14
Nsg15
VProtected sites
p53992
sbg8
(g9
g10
NtRp53993
(dp53994
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p53995
sbg8
(g9
g10
NtRp53996
(dp53997
g13
Nsg14
Nsg15
VFALSE
p53998
sbg8
(g9
g10
NtRp53999
(dp54000
g13
Nsg14
Nsg15
VEuropean Commission
p54001
sbg8
(g9
g10
NtRp54002
(dp54003
g13
Nsg14
Nsg15
VFALSE
p54004
sbNNNNNNNg8
(g9
g10
NtRp54005
(dp54006
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54007
(dp54008
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54009
(dp54010
g13
Nsg14
Nsg15
Veea_r_3035_1000_m_nature-sites_200901-200905
p54011
sbNg8
(g9
g10
NtRp54012
(dp54013
g13
Nsg14
Nsg15
Vobsolete
p54014
sbtp54015
a(g8
(g9
g10
NtRp54016
(dp54017
g13
Nsg14
Nsg15
V45638b75-39da-4c90-bea0-669967081194
p54018
sbNg8
(g9
g10
NtRp54019
(dp54020
g13
Nsg14
Nsg15
VEuroRegionalMap version 3.0b, Jun. 2009
p54021
sbNNNNNg8
(g9
g10
NtRp54022
(dp54023
g13
Nsg14
Nsg15
VEuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000 covering 32 European countries: 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova and Liechtenstein. It is seamless and harmonized across boundaries.It is a seamless1 and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. \u000aEuroRegionalMap is ideal for a wide range of uses, including cartographic publishing and backdrop visualisation, or in combination with other datasets for marketing planning and socio-economic analysis, environmental analysis, and transport management.\u000a\u000aThemes:\u000aa) Administrative (administrative boundaries, administrative areas)\u000ab) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\u000ac) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\u000ad) Settlements (built-up area, named location)
p54024
sbNNg8
(g9
g10
NtRp54025
(dp54026
g13
Nsg14
Nsg15
VFALSE
p54027
sbNNNg8
(g9
g10
NtRp54028
(dp54029
g13
Nsg14
Nsg15
VFALSE
p54030
sbNNg8
(g9
g10
NtRp54031
(dp54032
g13
Nsg14
Nsg15
VFALSE
p54033
sbNNg8
(g9
g10
NtRp54034
(dp54035
g13
Nsg14
Nsg15
VFALSE
p54036
sbNg8
(g9
g10
NtRp54037
(dp54038
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/45638b75-39da-4c90-bea0-669967081194.png
p54039
sbg8
(g9
g10
NtRp54040
(dp54041
g13
Nsg14
Nsg15
VEPSG:4326
p54042
sbg8
(g9
g10
NtRp54043
(dp54044
g13
Nsg14
Nsg15
V2019-06-04
p54045
sbNNNg8
(g9
g10
NtRp54046
(dp54047
g13
Nsg14
Nsg15
Vvector
p54048
sbg8
(g9
g10
NtRp54049
(dp54050
g13
Nsg14
Nsg15
VFGeo
p54051
sbNg8
(g9
g10
NtRp54052
(dp54053
g13
Nsg14
Nsg15
V1:250000
p54054
sbNg8
(g9
g10
NtRp54055
(dp54056
g13
Nsg14
Nsg15
VFor each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.\u000a\u000asee the National contributions documents.
p54057
sbg8
(g9
g10
NtRp54058
(dp54059
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/45638b75-39da-4c90-bea0-669967081194
p54060
sbNNg8
(g9
g10
NtRp54061
(dp54062
g13
Nsg14
Nsg15
VFALSE
p54063
sbg8
(g9
g10
NtRp54064
(dp54065
g13
Nsg14
Nsg15
VAdministrative units|Hydrography|Transport network
p54066
sbg8
(g9
g10
NtRp54067
(dp54068
g13
Nsg14
Nsg15
VLicense
p54069
sbg8
(g9
g10
NtRp54070
(dp54071
g13
Nsg14
Nsg15
VFALSE
p54072
sbNg8
(g9
g10
NtRp54073
(dp54074
g13
Nsg14
Nsg15
VFALSE
p54075
sbNNNNNNNg8
(g9
g10
NtRp54076
(dp54077
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54078
(dp54079
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54080
(dp54081
g13
Nsg14
Nsg15
Veurogeographics_v_4326_250_k_erm-europe_i_2009_v03_r01
p54082
sbNg8
(g9
g10
NtRp54083
(dp54084
g13
Nsg14
Nsg15
Vsuperseded
p54085
sbtp54086
a(g8
(g9
g10
NtRp54087
(dp54088
g13
Nsg14
Nsg15
Vd98cb950-c4d0-4544-8971-e14f0cc94986
p54089
sbNg8
(g9
g10
NtRp54090
(dp54091
g13
Nsg14
Nsg15
VEuroGlobalMap (individual countries or areas) - version 3.0, Jan. 2009
p54092
sbNNNNNg8
(g9
g10
NtRp54093
(dp54094
g13
Nsg14
Nsg15
VEuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\u000aThematic layers:\u000aa) administrative boundaries (administrative boundaries and administrative areas)\u000ab) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\u000ac) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\u000ad) settlements (built-up area)\u000ae) elevation points (height point)\u000af) named location (named location (point and text feature)).
p54095
sbNNg8
(g9
g10
NtRp54096
(dp54097
g13
Nsg14
Nsg15
VFALSE
p54098
sbNNNg8
(g9
g10
NtRp54099
(dp54100
g13
Nsg14
Nsg15
VFALSE
p54101
sbNNg8
(g9
g10
NtRp54102
(dp54103
g13
Nsg14
Nsg15
VFALSE
p54104
sbNNg8
(g9
g10
NtRp54105
(dp54106
g13
Nsg14
Nsg15
VFALSE
p54107
sbNg8
(g9
g10
NtRp54108
(dp54109
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d98cb950-c4d0-4544-8971-e14f0cc94986.png
p54110
sbg8
(g9
g10
NtRp54111
(dp54112
g13
Nsg14
Nsg15
VEPSG:4326
p54113
sbg8
(g9
g10
NtRp54114
(dp54115
g13
Nsg14
Nsg15
V2019-06-04
p54116
sbNNNg8
(g9
g10
NtRp54117
(dp54118
g13
Nsg14
Nsg15
Vvector
p54119
sbg8
(g9
g10
NtRp54120
(dp54121
g13
Nsg14
Nsg15
VPGeo
p54122
sbNg8
(g9
g10
NtRp54123
(dp54124
g13
Nsg14
Nsg15
V1:1000000
p54125
sbNg8
(g9
g10
NtRp54126
(dp54127
g13
Nsg14
Nsg15
VSee the document Lineage_EGM_v3.0.doc or individual country lineage reports.
p54128
sbg8
(g9
g10
NtRp54129
(dp54130
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d98cb950-c4d0-4544-8971-e14f0cc94986
p54131
sbNNg8
(g9
g10
NtRp54132
(dp54133
g13
Nsg14
Nsg15
VFALSE
p54134
sbg8
(g9
g10
NtRp54135
(dp54136
g13
Nsg14
Nsg15
VAdministrative units|Elevation|Hydrography|Transport network
p54137
sbg8
(g9
g10
NtRp54138
(dp54139
g13
Nsg14
Nsg15
VLicense
p54140
sbg8
(g9
g10
NtRp54141
(dp54142
g13
Nsg14
Nsg15
VFALSE
p54143
sbNg8
(g9
g10
NtRp54144
(dp54145
g13
Nsg14
Nsg15
VFALSE
p54146
sbNNNNNNNg8
(g9
g10
NtRp54147
(dp54148
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54149
(dp54150
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54151
(dp54152
g13
Nsg14
Nsg15
Veurogeographics_v_4326_1_mio_egm-countries-v30_2009
p54153
sbNg8
(g9
g10
NtRp54154
(dp54155
g13
Nsg14
Nsg15
Vsuperseded
p54156
sbtp54157
a(g8
(g9
g10
NtRp54158
(dp54159
g13
Nsg14
Nsg15
V79fbcebb-2cac-4ed5-bab6-884ee4aa3af0
p54160
sbNg8
(g9
g10
NtRp54161
(dp54162
g13
Nsg14
Nsg15
VEuroRegionalMap (individual countries) - version 4.0, Mar. 2011
p54163
sbNNNNNg8
(g9
g10
NtRp54164
(dp54165
g13
Nsg14
Nsg15
VEuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\u000a\u000aThemes:\u000aa) Administrative (administrative boundaries, administrative areas)\u000ab) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\u000ac) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\u000ad) Settlements (built-up area, named location)\u000ae) Soil and vegetation
p54166
sbNNg8
(g9
g10
NtRp54167
(dp54168
g13
Nsg14
Nsg15
VFALSE
p54169
sbNNNg8
(g9
g10
NtRp54170
(dp54171
g13
Nsg14
Nsg15
VFALSE
p54172
sbNNg8
(g9
g10
NtRp54173
(dp54174
g13
Nsg14
Nsg15
VFALSE
p54175
sbNNg8
(g9
g10
NtRp54176
(dp54177
g13
Nsg14
Nsg15
VFALSE
p54178
sbNg8
(g9
g10
NtRp54179
(dp54180
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0.png
p54181
sbg8
(g9
g10
NtRp54182
(dp54183
g13
Nsg14
Nsg15
VEPSG:4326
p54184
sbg8
(g9
g10
NtRp54185
(dp54186
g13
Nsg14
Nsg15
V2019-06-04
p54187
sbNNNg8
(g9
g10
NtRp54188
(dp54189
g13
Nsg14
Nsg15
Vvector
p54190
sbg8
(g9
g10
NtRp54191
(dp54192
g13
Nsg14
Nsg15
VSHP
p54193
sbNg8
(g9
g10
NtRp54194
(dp54195
g13
Nsg14
Nsg15
V1:250000
p54196
sbNg8
(g9
g10
NtRp54197
(dp54198
g13
Nsg14
Nsg15
VSee the country specific lineage documents.
p54199
sbg8
(g9
g10
NtRp54200
(dp54201
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0
p54202
sbNNg8
(g9
g10
NtRp54203
(dp54204
g13
Nsg14
Nsg15
VFALSE
p54205
sbg8
(g9
g10
NtRp54206
(dp54207
g13
Nsg14
Nsg15
VAdministrative units|Hydrography|Transport network
p54208
sbg8
(g9
g10
NtRp54209
(dp54210
g13
Nsg14
Nsg15
VLicense
p54211
sbg8
(g9
g10
NtRp54212
(dp54213
g13
Nsg14
Nsg15
VFALSE
p54214
sbNg8
(g9
g10
NtRp54215
(dp54216
g13
Nsg14
Nsg15
VFALSE
p54217
sbNNNNNNNg8
(g9
g10
NtRp54218
(dp54219
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54220
(dp54221
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54222
(dp54223
g13
Nsg14
Nsg15
Veurogeographics_v_4326_250_k_erm-countries-v40_2011
p54224
sbNg8
(g9
g10
NtRp54225
(dp54226
g13
Nsg14
Nsg15
Vsuperseded
p54227
sbtp54228
a(g8
(g9
g10
NtRp54229
(dp54230
g13
Nsg14
Nsg15
V30f8b868-eec3-4f89-b2ec-a42ac1afb0b0
p54231
sbNg8
(g9
g10
NtRp54232
(dp54233
g13
Nsg14
Nsg15
VEuroGlobalMap (full European coverage) - version 4.0, Jan. 2011
p54234
sbNNNNNg8
(g9
g10
NtRp54235
(dp54236
g13
Nsg14
Nsg15
VEuroGlobalMap is a pan-European dataset containing basic geographic information at the scale 1:1 M covering the following countries and/or administrative areas: Andorra, Austria, Belgium, Bulgaria, Croatia, Czech Republic, Cyprus, Denmark, Estonia, Finland, Faroe Islands, France, Germany, Gibraltar, Greece, Great Britain, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Monaco, Moldova, Northern Ireland, Norway, Poland, Portugal, Romania, San Marino, Slovakia, Slovenia, Spain, Sweden, Switzerland, The Netherlands, Ukraine and Vatican. It is seamless1 and harmonised data and is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\u000aThematic layers:\u000aa) administrative boundaries (administrative boundaries and administrative areas)\u000ab) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\u000ac) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\u000ad) settlements (built-up area)\u000ae) elevation points (height point)\u000af) named location (named location (point and text feature)).
p54237
sbNNg8
(g9
g10
NtRp54238
(dp54239
g13
Nsg14
Nsg15
VFALSE
p54240
sbNNNg8
(g9
g10
NtRp54241
(dp54242
g13
Nsg14
Nsg15
VFALSE
p54243
sbNNg8
(g9
g10
NtRp54244
(dp54245
g13
Nsg14
Nsg15
VFALSE
p54246
sbNNg8
(g9
g10
NtRp54247
(dp54248
g13
Nsg14
Nsg15
VFALSE
p54249
sbNg8
(g9
g10
NtRp54250
(dp54251
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0.png
p54252
sbg8
(g9
g10
NtRp54253
(dp54254
g13
Nsg14
Nsg15
VEPSG:4326
p54255
sbg8
(g9
g10
NtRp54256
(dp54257
g13
Nsg14
Nsg15
V2019-06-04
p54258
sbNNNg8
(g9
g10
NtRp54259
(dp54260
g13
Nsg14
Nsg15
Vvector
p54261
sbg8
(g9
g10
NtRp54262
(dp54263
g13
Nsg14
Nsg15
VPGeo|SHP
p54264
sbNg8
(g9
g10
NtRp54265
(dp54266
g13
Nsg14
Nsg15
V1:1000000
p54267
sbNg8
(g9
g10
NtRp54268
(dp54269
g13
Nsg14
Nsg15
VSee the document Metadata/Lineage_EGM_v4.0.doc.
p54270
sbg8
(g9
g10
NtRp54271
(dp54272
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0
p54273
sbNNg8
(g9
g10
NtRp54274
(dp54275
g13
Nsg14
Nsg15
VFALSE
p54276
sbg8
(g9
g10
NtRp54277
(dp54278
g13
Nsg14
Nsg15
VAdministrative units|Elevation|Hydrography|Transport network
p54279
sbg8
(g9
g10
NtRp54280
(dp54281
g13
Nsg14
Nsg15
VLicense
p54282
sbg8
(g9
g10
NtRp54283
(dp54284
g13
Nsg14
Nsg15
VFALSE
p54285
sbNg8
(g9
g10
NtRp54286
(dp54287
g13
Nsg14
Nsg15
VFALSE
p54288
sbNNNNNNNg8
(g9
g10
NtRp54289
(dp54290
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54291
(dp54292
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54293
(dp54294
g13
Nsg14
Nsg15
Veurogeographics_v_4326_1_mio_egm-europe_2011_i_v04_r00
p54295
sbNg8
(g9
g10
NtRp54296
(dp54297
g13
Nsg14
Nsg15
Vsuperseded
p54298
sbtp54299
a(g8
(g9
g10
NtRp54300
(dp54301
g13
Nsg14
Nsg15
V9148a53d-6966-4467-9cff-9ff1bee44c44
p54302
sbNg8
(g9
g10
NtRp54303
(dp54304
g13
Nsg14
Nsg15
VERM EuroRegionMap Coastlines v2
p54305
sbNNNNNg8
(g9
g10
NtRp54306
(dp54307
g13
Nsg14
Nsg15
VEuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.
p54308
sbNNg8
(g9
g10
NtRp54309
(dp54310
g13
Nsg14
Nsg15
VFALSE
p54311
sbNNNg8
(g9
g10
NtRp54312
(dp54313
g13
Nsg14
Nsg15
VFALSE
p54314
sbNNg8
(g9
g10
NtRp54315
(dp54316
g13
Nsg14
Nsg15
VFALSE
p54317
sbNNg8
(g9
g10
NtRp54318
(dp54319
g13
Nsg14
Nsg15
VFALSE
p54320
sbNg8
(g9
g10
NtRp54321
(dp54322
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9148a53d-6966-4467-9cff-9ff1bee44c44.png
p54323
sbg8
(g9
g10
NtRp54324
(dp54325
g13
Nsg14
Nsg15
VEPSG:4326
p54326
sbg8
(g9
g10
NtRp54327
(dp54328
g13
Nsg14
Nsg15
V2019-06-04
p54329
sbNNNg8
(g9
g10
NtRp54330
(dp54331
g13
Nsg14
Nsg15
Vvector
p54332
sbg8
(g9
g10
NtRp54333
(dp54334
g13
Nsg14
Nsg15
VSHP
p54335
sbNg8
(g9
g10
NtRp54336
(dp54337
g13
Nsg14
Nsg15
V1:250000
p54338
sbNg8
(g9
g10
NtRp54339
(dp54340
g13
Nsg14
Nsg15
VFor each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.
p54341
sbg8
(g9
g10
NtRp54342
(dp54343
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9148a53d-6966-4467-9cff-9ff1bee44c44
p54344
sbNNg8
(g9
g10
NtRp54345
(dp54346
g13
Nsg14
Nsg15
VFALSE
p54347
sbg8
(g9
g10
NtRp54348
(dp54349
g13
Nsg14
Nsg15
VElevation
p54350
sbg8
(g9
g10
NtRp54351
(dp54352
g13
Nsg14
Nsg15
VLicense
p54353
sbg8
(g9
g10
NtRp54354
(dp54355
g13
Nsg14
Nsg15
VFALSE
p54356
sbNg8
(g9
g10
NtRp54357
(dp54358
g13
Nsg14
Nsg15
VFALSE
p54359
sbNNNNNNNg8
(g9
g10
NtRp54360
(dp54361
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54362
(dp54363
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54364
(dp54365
g13
Nsg14
Nsg15
Veurogeographics_v_4326_250_k_erm-coastline_2006_rev2
p54366
sbNg8
(g9
g10
NtRp54367
(dp54368
g13
Nsg14
Nsg15
Vobsolete
p54369
sbtp54370
a(g8
(g9
g10
NtRp54371
(dp54372
g13
Nsg14
Nsg15
V6735a968-f86a-491d-9fdc-6d248595d2b7
p54373
sbNg8
(g9
g10
NtRp54374
(dp54375
g13
Nsg14
Nsg15
VEuroGlobalMap (full European coverage) - version 3.0, Jan. 2009
p54376
sbNNNNNg8
(g9
g10
NtRp54377
(dp54378
g13
Nsg14
Nsg15
VEuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\u000aThematic layers:\u000aa) administrative boundaries (administrative boundaries and administrative areas)\u000ab) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\u000ac) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\u000ad) settlements (built-up area)\u000ae) elevation points (height point)\u000af) named location (named location (point and text feature)).
p54379
sbNNg8
(g9
g10
NtRp54380
(dp54381
g13
Nsg14
Nsg15
VFALSE
p54382
sbNNNg8
(g9
g10
NtRp54383
(dp54384
g13
Nsg14
Nsg15
VFALSE
p54385
sbNNg8
(g9
g10
NtRp54386
(dp54387
g13
Nsg14
Nsg15
VFALSE
p54388
sbNNg8
(g9
g10
NtRp54389
(dp54390
g13
Nsg14
Nsg15
VFALSE
p54391
sbNg8
(g9
g10
NtRp54392
(dp54393
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6735a968-f86a-491d-9fdc-6d248595d2b7.png
p54394
sbg8
(g9
g10
NtRp54395
(dp54396
g13
Nsg14
Nsg15
VEPSG:4326
p54397
sbg8
(g9
g10
NtRp54398
(dp54399
g13
Nsg14
Nsg15
V2019-06-04
p54400
sbNNNg8
(g9
g10
NtRp54401
(dp54402
g13
Nsg14
Nsg15
Vvector
p54403
sbg8
(g9
g10
NtRp54404
(dp54405
g13
Nsg14
Nsg15
VPGeo
p54406
sbNg8
(g9
g10
NtRp54407
(dp54408
g13
Nsg14
Nsg15
V1:1000000
p54409
sbNg8
(g9
g10
NtRp54410
(dp54411
g13
Nsg14
Nsg15
VSee the document Lineage_EGM_v3.0.doc.
p54412
sbg8
(g9
g10
NtRp54413
(dp54414
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6735a968-f86a-491d-9fdc-6d248595d2b7
p54415
sbNNg8
(g9
g10
NtRp54416
(dp54417
g13
Nsg14
Nsg15
VFALSE
p54418
sbg8
(g9
g10
NtRp54419
(dp54420
g13
Nsg14
Nsg15
VAdministrative units|Elevation|Hydrography|Transport network
p54421
sbg8
(g9
g10
NtRp54422
(dp54423
g13
Nsg14
Nsg15
VLicense
p54424
sbg8
(g9
g10
NtRp54425
(dp54426
g13
Nsg14
Nsg15
VFALSE
p54427
sbNg8
(g9
g10
NtRp54428
(dp54429
g13
Nsg14
Nsg15
VFALSE
p54430
sbNNNNNNNg8
(g9
g10
NtRp54431
(dp54432
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54433
(dp54434
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54435
(dp54436
g13
Nsg14
Nsg15
Veurogeographics_v_4326_1_mio_egm-europe-v30_2009
p54437
sbNg8
(g9
g10
NtRp54438
(dp54439
g13
Nsg14
Nsg15
Vsuperseded
p54440
sbtp54441
a(g8
(g9
g10
NtRp54442
(dp54443
g13
Nsg14
Nsg15
Vcc3776aa-fabd-461d-9c8b-1d915314f8a5
p54444
sbNg8
(g9
g10
NtRp54445
(dp54446
g13
Nsg14
Nsg15
VERM EuroRegionMap Coastlines v3.0b
p54447
sbNNNNNg8
(g9
g10
NtRp54448
(dp54449
g13
Nsg14
Nsg15
VEuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.
p54450
sbNNg8
(g9
g10
NtRp54451
(dp54452
g13
Nsg14
Nsg15
VFALSE
p54453
sbNNNg8
(g9
g10
NtRp54454
(dp54455
g13
Nsg14
Nsg15
VFALSE
p54456
sbNNg8
(g9
g10
NtRp54457
(dp54458
g13
Nsg14
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p54459
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VFALSE
p54462
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc3776aa-fabd-461d-9c8b-1d915314f8a5.png
p54465
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VEPSG:4326
p54468
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V2019-06-04
p54471
sbNNNg8
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Vvector
p54474
sbg8
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VSHP
p54477
sbNg8
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V1:250000
p54480
sbNg8
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VFor each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.
p54483
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc3776aa-fabd-461d-9c8b-1d915314f8a5
p54486
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g74
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V2007
p54489
sbg8
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g74
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V2007
p54492
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VFALSE
p54495
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NtRp54496
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g13
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VElevation
p54498
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VLicense
p54501
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NtRp54502
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g13
Nsg14
Nsg15
VFALSE
p54504
sbNg8
(g9
g10
NtRp54505
(dp54506
g13
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VFALSE
p54507
sbNNNNNNNg8
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NtRp54508
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V
sbg8
(g9
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NtRp54510
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g13
Nsg14
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V
sbNNg8
(g9
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NtRp54512
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g13
Nsg14
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Veurogeographics_v_4326_250_k_erm-coastline_2006_rev30b
p54514
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NtRp54515
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g13
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p54517
sbtp54518
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V25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef
p54521
sbNg8
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NtRp54522
(dp54523
g13
Nsg14
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VEGM EuroGlobalMap Coastlines v2
p54524
sbNNNNNg8
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g10
NtRp54525
(dp54526
g13
Nsg14
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VEuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands,  Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location.
p54527
sbNNg8
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NtRp54528
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g13
Nsg14
Nsg15
VFALSE
p54530
sbNNNg8
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Nsg14
Nsg15
VFALSE
p54533
sbNNg8
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g10
NtRp54534
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g13
Nsg14
Nsg15
VFALSE
p54536
sbNNg8
(g9
g10
NtRp54537
(dp54538
g13
Nsg14
Nsg15
VFALSE
p54539
sbNg8
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g10
NtRp54540
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g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef.png
p54542
sbg8
(g9
g10
NtRp54543
(dp54544
g13
Nsg14
Nsg15
VEPSG:4326
p54545
sbg8
(g9
g10
NtRp54546
(dp54547
g13
Nsg14
Nsg15
V2019-06-04
p54548
sbNNNg8
(g9
g10
NtRp54549
(dp54550
g13
Nsg14
Nsg15
Vvector
p54551
sbg8
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g13
Nsg14
Nsg15
VSHP
p54554
sbNg8
(g9
g10
NtRp54555
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g13
Nsg14
Nsg15
V1:1000000
p54557
sbNg8
(g9
g10
NtRp54558
(dp54559
g13
Nsg14
Nsg15
VThe creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries.\u000aProcess steps:\u000aEach data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.
p54560
sbg8
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NtRp54561
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef
p54563
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NtRp54564
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g13
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g74
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V2006
p54566
sbg8
(g9
g10
NtRp54567
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g13
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g74
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V2006
p54569
sbg8
(g9
g10
NtRp54570
(dp54571
g13
Nsg14
Nsg15
VFALSE
p54572
sbg8
(g9
g10
NtRp54573
(dp54574
g13
Nsg14
Nsg15
VElevation
p54575
sbg8
(g9
g10
NtRp54576
(dp54577
g13
Nsg14
Nsg15
VLicense
p54578
sbg8
(g9
g10
NtRp54579
(dp54580
g13
Nsg14
Nsg15
VFALSE
p54581
sbNg8
(g9
g10
NtRp54582
(dp54583
g13
Nsg14
Nsg15
VFALSE
p54584
sbNNNNNNNg8
(g9
g10
NtRp54585
(dp54586
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54587
(dp54588
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54589
(dp54590
g13
Nsg14
Nsg15
Veurogeographics_v_4326_1_mio_egm-coastline_2006_rev2
p54591
sbNg8
(g9
g10
NtRp54592
(dp54593
g13
Nsg14
Nsg15
Vobsolete
p54594
sbtp54595
a(g8
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NtRp54596
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g13
Nsg14
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V63a9dd7f-a7f3-453e-b183-644a1ea6a8f9
p54598
sbNg8
(g9
g10
NtRp54599
(dp54600
g13
Nsg14
Nsg15
VEuroRegionalMap (full European coverage) - version 4.0, Mar. 2011
p54601
sbNNNNNg8
(g9
g10
NtRp54602
(dp54603
g13
Nsg14
Nsg15
VEuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\u000a\u000aThemes:\u000aa) Administrative (administrative boundaries, administrative areas)\u000ab) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\u000ac) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\u000ad) Settlements (built-up area, named location)\u000ae) Soil and vegetation
p54604
sbNNg8
(g9
g10
NtRp54605
(dp54606
g13
Nsg14
Nsg15
VFALSE
p54607
sbNNNg8
(g9
g10
NtRp54608
(dp54609
g13
Nsg14
Nsg15
VFALSE
p54610
sbNNg8
(g9
g10
NtRp54611
(dp54612
g13
Nsg14
Nsg15
VFALSE
p54613
sbNNg8
(g9
g10
NtRp54614
(dp54615
g13
Nsg14
Nsg15
VFALSE
p54616
sbNg8
(g9
g10
NtRp54617
(dp54618
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9.png
p54619
sbg8
(g9
g10
NtRp54620
(dp54621
g13
Nsg14
Nsg15
VEPSG:4326
p54622
sbg8
(g9
g10
NtRp54623
(dp54624
g13
Nsg14
Nsg15
V2019-06-04
p54625
sbNNNg8
(g9
g10
NtRp54626
(dp54627
g13
Nsg14
Nsg15
Vvector
p54628
sbg8
(g9
g10
NtRp54629
(dp54630
g13
Nsg14
Nsg15
VFGeo
p54631
sbNg8
(g9
g10
NtRp54632
(dp54633
g13
Nsg14
Nsg15
V1:250000
p54634
sbNg8
(g9
g10
NtRp54635
(dp54636
g13
Nsg14
Nsg15
VSee the country specific lineage documents.
p54637
sbg8
(g9
g10
NtRp54638
(dp54639
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9
p54640
sbg8
(g9
g10
NtRp54641
(dp54642
g13
Nsg14
g74
sg15
V2011
p54643
sbg8
(g9
g10
NtRp54644
(dp54645
g13
Nsg14
g74
sg15
V2011
p54646
sbg8
(g9
g10
NtRp54647
(dp54648
g13
Nsg14
Nsg15
VFALSE
p54649
sbg8
(g9
g10
NtRp54650
(dp54651
g13
Nsg14
Nsg15
VAdministrative units|Hydrography|Transport network
p54652
sbg8
(g9
g10
NtRp54653
(dp54654
g13
Nsg14
Nsg15
VLicense
p54655
sbg8
(g9
g10
NtRp54656
(dp54657
g13
Nsg14
Nsg15
VFALSE
p54658
sbNg8
(g9
g10
NtRp54659
(dp54660
g13
Nsg14
Nsg15
VFALSE
p54661
sbNNNNNNNg8
(g9
g10
NtRp54662
(dp54663
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54664
(dp54665
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54666
(dp54667
g13
Nsg14
Nsg15
Veurogeographics_v_4326_250_k_erm-europe_i_2009_v04_r00
p54668
sbNg8
(g9
g10
NtRp54669
(dp54670
g13
Nsg14
Nsg15
Vsuperseded
p54671
sbtp54672
a(g8
(g9
g10
NtRp54673
(dp54674
g13
Nsg14
Nsg15
V965858af-9905-4ba3-b5ab-e976c06d6816
p54675
sbNg8
(g9
g10
NtRp54676
(dp54677
g13
Nsg14
Nsg15
VCorine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - series
p54678
sbNNNNNg8
(g9
g10
NtRp54679
(dp54680
g13
Nsg14
Nsg15
VThe series references all versions of Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) starting with version 13.\u000a\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p54681
sbNNg8
(g9
g10
NtRp54682
(dp54683
g13
Nsg14
Nsg15
VFALSE
p54684
sbNNNg8
(g9
g10
NtRp54685
(dp54686
g13
Nsg14
Nsg15
VFALSE
p54687
sbNNg8
(g9
g10
NtRp54688
(dp54689
g13
Nsg14
Nsg15
VFALSE
p54690
sbNNg8
(g9
g10
NtRp54691
(dp54692
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Nsg14
Nsg15
VFALSE
p54693
sbNg8
(g9
g10
NtRp54694
(dp54695
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/965858af-9905-4ba3-b5ab-e976c06d6816.png
p54696
sbg8
(g9
g10
NtRp54697
(dp54698
g13
Nsg14
Nsg15
VEPSG:3035
p54699
sbg8
(g9
g10
NtRp54700
(dp54701
g13
Nsg14
Nsg15
V2019-06-04
p54702
sbNNg8
(g9
g10
NtRp54703
(dp54704
g13
Nsg14
Nsg15
VLand cover
p54705
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(g9
g10
NtRp54706
(dp54707
g13
Nsg14
Nsg15
Vgrid
p54708
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(g9
g10
NtRp54709
(dp54710
g13
Nsg14
Nsg15
VGTiff
p54711
sbNg8
(g9
g10
NtRp54712
(dp54713
g13
Nsg14
Nsg15
V100m
p54714
sbNg8
(g9
g10
NtRp54715
(dp54716
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 2000 - 2006 changes\u000a\u000aThe processing steps are described for each dataset in this series.
p54717
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NtRp54718
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/965858af-9905-4ba3-b5ab-e976c06d6816
p54720
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NtRp54721
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Nsg14
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VFALSE
p54723
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NtRp54724
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Nsg14
Nsg15
VLand cover
p54726
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g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p54729
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NtRp54730
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Nsg15
VFALSE
p54732
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NtRp54733
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g13
Nsg14
Nsg15
VEuropean Environment Agency
p54735
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g10
NtRp54736
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Nsg14
Nsg15
VFALSE
p54738
sbNNNNNNNg8
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g10
NtRp54739
(dp54740
g13
Nsg14
Nsg15
V
sbg8
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g10
NtRp54741
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54743
(dp54744
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-changes-formation_2000-2006_series
p54745
sbNg8
(g9
g10
NtRp54746
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g13
Nsg14
Nsg15
Vobsolete
p54748
sbtp54749
a(g8
(g9
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NtRp54750
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Vcfecabd3-ec0b-4c6e-bec3-aa0666971958
p54752
sbNg8
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g10
NtRp54753
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g13
Nsg14
Nsg15
VCorine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - series
p54755
sbNNNNNg8
(g9
g10
NtRp54756
(dp54757
g13
Nsg14
Nsg15
VThe series references all versions of Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) starting with version 13.\u000a\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p54758
sbNNg8
(g9
g10
NtRp54759
(dp54760
g13
Nsg14
Nsg15
VFALSE
p54761
sbNNNg8
(g9
g10
NtRp54762
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g13
Nsg14
Nsg15
VFALSE
p54764
sbNNg8
(g9
g10
NtRp54765
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g13
Nsg14
Nsg15
VFALSE
p54767
sbNNg8
(g9
g10
NtRp54768
(dp54769
g13
Nsg14
Nsg15
VFALSE
p54770
sbNg8
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NtRp54771
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cfecabd3-ec0b-4c6e-bec3-aa0666971958.png
p54773
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NtRp54774
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g13
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Nsg15
VEPSG:3035
p54776
sbg8
(g9
g10
NtRp54777
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g13
Nsg14
Nsg15
V2019-06-04
p54779
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Nsg14
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VLand cover
p54782
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Vgrid
p54785
sbg8
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g10
NtRp54786
(dp54787
g13
Nsg14
Nsg15
VGTiff
p54788
sbNg8
(g9
g10
NtRp54789
(dp54790
g13
Nsg14
Nsg15
V100m
p54791
sbNg8
(g9
g10
NtRp54792
(dp54793
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 2000 - 2006 changes\u000a\u000aThe processing steps are described for each dataset in this series.
p54794
sbg8
(g9
g10
NtRp54795
(dp54796
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cfecabd3-ec0b-4c6e-bec3-aa0666971958
p54797
sbNNg8
(g9
g10
NtRp54798
(dp54799
g13
Nsg14
Nsg15
VFALSE
p54800
sbg8
(g9
g10
NtRp54801
(dp54802
g13
Nsg14
Nsg15
VLand cover
p54803
sbg8
(g9
g10
NtRp54804
(dp54805
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p54806
sbg8
(g9
g10
NtRp54807
(dp54808
g13
Nsg14
Nsg15
VFALSE
p54809
sbg8
(g9
g10
NtRp54810
(dp54811
g13
Nsg14
Nsg15
VEuropean Environment Agency
p54812
sbg8
(g9
g10
NtRp54813
(dp54814
g13
Nsg14
Nsg15
VFALSE
p54815
sbNNNNNNNg8
(g9
g10
NtRp54816
(dp54817
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54818
(dp54819
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54820
(dp54821
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-changes-consumption_2000-2006_series
p54822
sbNg8
(g9
g10
NtRp54823
(dp54824
g13
Nsg14
Nsg15
Vobsolete
p54825
sbtp54826
a(g8
(g9
g10
NtRp54827
(dp54828
g13
Nsg14
Nsg15
V13c2cc2f-3cea-4d83-8496-c635f68f7f91
p54829
sbNg8
(g9
g10
NtRp54830
(dp54831
g13
Nsg14
Nsg15
VCorine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - series
p54832
sbNNNNNg8
(g9
g10
NtRp54833
(dp54834
g13
Nsg14
Nsg15
VThe series references all versions of Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) starting with version 13.\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p54835
sbNNg8
(g9
g10
NtRp54836
(dp54837
g13
Nsg14
Nsg15
VFALSE
p54838
sbNNNg8
(g9
g10
NtRp54839
(dp54840
g13
Nsg14
Nsg15
VFALSE
p54841
sbNNg8
(g9
g10
NtRp54842
(dp54843
g13
Nsg14
Nsg15
VFALSE
p54844
sbNNg8
(g9
g10
NtRp54845
(dp54846
g13
Nsg14
Nsg15
VFALSE
p54847
sbNg8
(g9
g10
NtRp54848
(dp54849
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/13c2cc2f-3cea-4d83-8496-c635f68f7f91.png
p54850
sbg8
(g9
g10
NtRp54851
(dp54852
g13
Nsg14
Nsg15
VEPSG:3035
p54853
sbg8
(g9
g10
NtRp54854
(dp54855
g13
Nsg14
Nsg15
V2019-06-04
p54856
sbNNNg8
(g9
g10
NtRp54857
(dp54858
g13
Nsg14
Nsg15
Vgrid
p54859
sbg8
(g9
g10
NtRp54860
(dp54861
g13
Nsg14
Nsg15
VGTiff
p54862
sbNg8
(g9
g10
NtRp54863
(dp54864
g13
Nsg14
Nsg15
V100m
p54865
sbNg8
(g9
g10
NtRp54866
(dp54867
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 1990 - 2000 changes\u000a\u000aThe processing steps are described for each dataset in this series.
p54868
sbg8
(g9
g10
NtRp54869
(dp54870
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13c2cc2f-3cea-4d83-8496-c635f68f7f91
p54871
sbNNg8
(g9
g10
NtRp54872
(dp54873
g13
Nsg14
Nsg15
VFALSE
p54874
sbg8
(g9
g10
NtRp54875
(dp54876
g13
Nsg14
Nsg15
VLand cover
p54877
sbg8
(g9
g10
NtRp54878
(dp54879
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p54880
sbg8
(g9
g10
NtRp54881
(dp54882
g13
Nsg14
Nsg15
VFALSE
p54883
sbg8
(g9
g10
NtRp54884
(dp54885
g13
Nsg14
Nsg15
VEuropean Environment Agency
p54886
sbg8
(g9
g10
NtRp54887
(dp54888
g13
Nsg14
Nsg15
VFALSE
p54889
sbNNNNNNNg8
(g9
g10
NtRp54890
(dp54891
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54892
(dp54893
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54894
(dp54895
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-changes-formation_1990-2000_series
p54896
sbNg8
(g9
g10
NtRp54897
(dp54898
g13
Nsg14
Nsg15
Vobsolete
p54899
sbtp54900
a(g8
(g9
g10
NtRp54901
(dp54902
g13
Nsg14
Nsg15
Vd72a2a90-4f32-43dc-bc4e-5d1b2d493c27
p54903
sbNg8
(g9
g10
NtRp54904
(dp54905
g13
Nsg14
Nsg15
VCorine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - series
p54906
sbNNNNNg8
(g9
g10
NtRp54907
(dp54908
g13
Nsg14
Nsg15
VThe series references all versions of Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) starting with version 13.\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p54909
sbNNg8
(g9
g10
NtRp54910
(dp54911
g13
Nsg14
Nsg15
VFALSE
p54912
sbNNNg8
(g9
g10
NtRp54913
(dp54914
g13
Nsg14
Nsg15
VFALSE
p54915
sbNNg8
(g9
g10
NtRp54916
(dp54917
g13
Nsg14
Nsg15
VFALSE
p54918
sbNNg8
(g9
g10
NtRp54919
(dp54920
g13
Nsg14
Nsg15
VFALSE
p54921
sbNg8
(g9
g10
NtRp54922
(dp54923
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27.png
p54924
sbg8
(g9
g10
NtRp54925
(dp54926
g13
Nsg14
Nsg15
VEPSG:3035
p54927
sbg8
(g9
g10
NtRp54928
(dp54929
g13
Nsg14
Nsg15
V2019-06-04
p54930
sbNNNg8
(g9
g10
NtRp54931
(dp54932
g13
Nsg14
Nsg15
Vgrid
p54933
sbg8
(g9
g10
NtRp54934
(dp54935
g13
Nsg14
Nsg15
VGTiff
p54936
sbNg8
(g9
g10
NtRp54937
(dp54938
g13
Nsg14
Nsg15
V100m
p54939
sbNg8
(g9
g10
NtRp54940
(dp54941
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 1990 - 2000 changes\u000a\u000aThe processing steps are described for each dataset in this series.
p54942
sbg8
(g9
g10
NtRp54943
(dp54944
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27
p54945
sbNNg8
(g9
g10
NtRp54946
(dp54947
g13
Nsg14
Nsg15
VFALSE
p54948
sbg8
(g9
g10
NtRp54949
(dp54950
g13
Nsg14
Nsg15
VLand cover
p54951
sbg8
(g9
g10
NtRp54952
(dp54953
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p54954
sbg8
(g9
g10
NtRp54955
(dp54956
g13
Nsg14
Nsg15
VFALSE
p54957
sbg8
(g9
g10
NtRp54958
(dp54959
g13
Nsg14
Nsg15
VEuropean Environment Agency
p54960
sbg8
(g9
g10
NtRp54961
(dp54962
g13
Nsg14
Nsg15
VFALSE
p54963
sbNNNNNNNg8
(g9
g10
NtRp54964
(dp54965
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp54966
(dp54967
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp54968
(dp54969
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-changes-consumption_1990-2000_series
p54970
sbNg8
(g9
g10
NtRp54971
(dp54972
g13
Nsg14
Nsg15
Vobsolete
p54973
sbtp54974
a(g8
(g9
g10
NtRp54975
(dp54976
g13
Nsg14
Nsg15
Vdef7ac06-7d3f-4da5-880c-a76a73953cfc
p54977
sbNg8
(g9
g10
NtRp54978
(dp54979
g13
Nsg14
Nsg15
VBiogeographical regions, Europe 2015, version 2
p54980
sbNNNNNg8
(g9
g10
NtRp54981
(dp54982
g13
Nsg14
Nsg15
VThe biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\u000a\u000aThe 2015 version includes updated delineations of regions in Caucasus area.\u000a\u000aThis version (2015, version 2) corrects an error in the delineation of the ATL region contained in the release 2015, version 1.
p54983
sbg8
(g23
g10
NtRp54984
(dp54985
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-2
p54986
sbNg8
(g9
g10
NtRp54987
(dp54988
g13
Nsg14
Nsg15
VFALSE
p54989
sbNNNg8
(g9
g10
NtRp54990
(dp54991
g13
Nsg14
Nsg15
VFALSE
p54992
sbNNg8
(g9
g10
NtRp54993
(dp54994
g13
Nsg14
Nsg15
VFALSE
p54995
sbNNg8
(g9
g10
NtRp54996
(dp54997
g13
Nsg14
Nsg15
VFALSE
p54998
sbNg8
(g9
g10
NtRp54999
(dp55000
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/def7ac06-7d3f-4da5-880c-a76a73953cfc.png
p55001
sbg8
(g9
g10
NtRp55002
(dp55003
g13
Nsg14
Nsg15
VEPSG:3035
p55004
sbg8
(g9
g10
NtRp55005
(dp55006
g13
Nsg14
Nsg15
V2019-06-04
p55007
sbNg8
(g9
g10
NtRp55008
(dp55009
g13
Nsg14
Nsg15
VBio-geographical regions
p55010
sbg8
(g9
g10
NtRp55011
(dp55012
g13
Nsg14
Nsg15
Vbiodiversity
p55013
sbg8
(g9
g10
NtRp55014
(dp55015
g13
Nsg14
Nsg15
Vvector
p55016
sbg8
(g9
g10
NtRp55017
(dp55018
g13
Nsg14
Nsg15
VSHP
p55019
sbNg8
(g9
g10
NtRp55020
(dp55021
g13
Nsg14
Nsg15
V1:10000000
p55022
sbNg8
(g9
g10
NtRp55023
(dp55024
g13
Nsg14
Nsg15
VBiogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\u000a\u000aChanges in version 2011:                            \u000a\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\u000a\u000aChanges in version 2015:\u000a\u2022 Update of coast lines (the Caspian and Black Sea)\u000a\u2022 Update Ukraine from continental to Pannonian region\u000a\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\u000a\u000aChanges in 2015, version 2:\u000a\u2022 Errors in the delineation of the ATL region have been corrected.\u000a\u000aThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.
p55025
sbg8
(g9
g10
NtRp55026
(dp55027
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/def7ac06-7d3f-4da5-880c-a76a73953cfc
p55028
sbNNg8
(g9
g10
NtRp55029
(dp55030
g13
Nsg14
Nsg15
VFALSE
p55031
sbNg8
(g9
g10
NtRp55032
(dp55033
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\u000a\u000aInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\u000aThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO
p55034
sbg8
(g9
g10
NtRp55035
(dp55036
g13
Nsg14
Nsg15
VFALSE
p55037
sbg8
(g9
g10
NtRp55038
(dp55039
g13
Nsg14
Nsg15
VEuropean Environment Agency
p55040
sbg8
(g9
g10
NtRp55041
(dp55042
g13
Nsg14
Nsg15
VFALSE
p55043
sbNNNNNNNg8
(g9
g10
NtRp55044
(dp55045
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55046
(dp55047
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55048
(dp55049
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_biogeo-regions_2015_rev02
p55050
sbNg8
(g9
g10
NtRp55051
(dp55052
g13
Nsg14
Nsg15
Vsuperseded
p55053
sbtp55054
a(g8
(g9
g10
NtRp55055
(dp55056
g13
Nsg14
Nsg15
Vdf69de7e-3af1-4b4d-94d4-8bebe84c80b0
p55057
sbNg8
(g9
g10
NtRp55058
(dp55059
g13
Nsg14
Nsg15
VEcosystem types of Europe - version 2.1, Dec. 2015
p55060
sbNNNNNg8
(g9
g10
NtRp55061
(dp55062
g13
Nsg14
Nsg15
VThe data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\u000a\u000aThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\u000a\u000aThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\u000a\u000aThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely  the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.
p55063
sbg8
(g23
g10
NtRp55064
(dp55065
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe
p55066
sbNg8
(g9
g10
NtRp55067
(dp55068
g13
Nsg14
Nsg15
VFALSE
p55069
sbNNNg8
(g9
g10
NtRp55070
(dp55071
g13
Nsg14
Nsg15
VFALSE
p55072
sbNNg8
(g9
g10
NtRp55073
(dp55074
g13
Nsg14
Nsg15
VFALSE
p55075
sbNNg8
(g9
g10
NtRp55076
(dp55077
g13
Nsg14
Nsg15
VFALSE
p55078
sbNg8
(g9
g10
NtRp55079
(dp55080
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/df69de7e-3af1-4b4d-94d4-8bebe84c80b0.png
p55081
sbg8
(g9
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VThe data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\u000aThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.
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VMember States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\u000a				  Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389]\u000a				  National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.
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VThe data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 1) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\u000a\u000aThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\u000a\u000aThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\u000a\u000aThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely  the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.
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VThe data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\u000aThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.
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Nsg15
V100m
p55342
sbNg8
(g9
g10
NtRp55343
(dp55344
g13
Nsg14
Nsg15
VThe data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\u000aThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.
p55345
sbg8
(g9
g10
NtRp55346
(dp55347
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbeb0b45-dfe1-4735-a955-25706fb8e9bd
p55348
sbNNg8
(g9
g10
NtRp55349
(dp55350
g13
Nsg14
Nsg15
VFALSE
p55351
sbNg8
(g9
g10
NtRp55352
(dp55353
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p55354
sbg8
(g9
g10
NtRp55355
(dp55356
g13
Nsg14
Nsg15
VFALSE
p55357
sbg8
(g9
g10
NtRp55358
(dp55359
g13
Nsg14
Nsg15
VEuropean Environment Agency
p55360
sbg8
(g9
g10
NtRp55361
(dp55362
g13
Nsg14
Nsg15
VFALSE
p55363
sbNNNNNNNg8
(g9
g10
NtRp55364
(dp55365
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55366
(dp55367
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55368
(dp55369
g13
Nsg14
Nsg15
Veea_r_3035_1_km_ecosystem-types-l1_2006_rev2-1
p55370
sbNg8
(g9
g10
NtRp55371
(dp55372
g13
Nsg14
Nsg15
Vsuperseded
p55373
sbtp55374
a(g8
(g9
g10
NtRp55375
(dp55376
g13
Nsg14
Nsg15
Va073443a-1a83-4abc-b848-cb1394b56ae4
p55377
sbNg8
(g9
g10
NtRp55378
(dp55379
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Agglomerations - version 4, Dec. 2012
p55380
sbNNNNNg8
(g9
g10
NtRp55381
(dp55382
g13
Nsg14
Nsg15
VThis dataset contains information on agglomerations with generated load \u2265 2000 P.E., including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.
p55383
sbNNg8
(g9
g10
NtRp55384
(dp55385
g13
Nsg14
Nsg15
VFALSE
p55386
sbNNNg8
(g9
g10
NtRp55387
(dp55388
g13
Nsg14
Nsg15
VFALSE
p55389
sbNNg8
(g9
g10
NtRp55390
(dp55391
g13
Nsg14
Nsg15
VFALSE
p55392
sbNNg8
(g9
g10
NtRp55393
(dp55394
g13
Nsg14
Nsg15
VFALSE
p55395
sbNg8
(g9
g10
NtRp55396
(dp55397
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a073443a-1a83-4abc-b848-cb1394b56ae4.png
p55398
sbg8
(g9
g10
NtRp55399
(dp55400
g13
Nsg14
Nsg15
VEPSG:4326
p55401
sbg8
(g9
g10
NtRp55402
(dp55403
g13
Nsg14
Nsg15
V2019-06-04
p55404
sbNg8
(g9
g10
NtRp55405
(dp55406
g13
Nsg14
Nsg15
VProduction and industrial facilities
p55407
sbg8
(g9
g10
NtRp55408
(dp55409
g13
Nsg14
Nsg15
Vcollective wastewater treatment|waste water discharge
p55410
sbg8
(g9
g10
NtRp55411
(dp55412
g13
Nsg14
Nsg15
Vvector
p55413
sbg8
(g9
g10
NtRp55414
(dp55415
g13
Nsg14
Nsg15
VSHP
p55416
sbNg8
(g9
g10
NtRp55417
(dp55418
g13
Nsg14
Nsg15
V1:100000
p55419
sbNg8
(g9
g10
NtRp55420
(dp55421
g13
Nsg14
Nsg15
VSome records are reporting erroneous lat/long coordinates:\u000awhen features are clearly erroneous, they are removed.
p55422
sbg8
(g9
g10
NtRp55423
(dp55424
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a073443a-1a83-4abc-b848-cb1394b56ae4
p55425
sbNNg8
(g9
g10
NtRp55426
(dp55427
g13
Nsg14
Nsg15
VFALSE
p55428
sbNg8
(g9
g10
NtRp55429
(dp55430
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p55431
sbg8
(g9
g10
NtRp55432
(dp55433
g13
Nsg14
Nsg15
VFALSE
p55434
sbg8
(g9
g10
NtRp55435
(dp55436
g13
Nsg14
Nsg15
VEuropean Environment Agency
p55437
sbg8
(g9
g10
NtRp55438
(dp55439
g13
Nsg14
Nsg15
VFALSE
p55440
sbNNNNNNNg8
(g9
g10
NtRp55441
(dp55442
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55443
(dp55444
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55445
(dp55446
g13
Nsg14
Nsg15
Veea_v_4326_100_k_uwwtd-agglo_2007-2011_rev4
p55447
sbNg8
(g9
g10
NtRp55448
(dp55449
g13
Nsg14
Nsg15
Vsuperseded
p55450
sbtp55451
a(g8
(g9
g10
NtRp55452
(dp55453
g13
Nsg14
Nsg15
Vdd31c70b-031d-46c7-b11c-e46c23ba0e00
p55454
sbNg8
(g9
g10
NtRp55455
(dp55456
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Discharge points - version 4, Dec. 2012
p55457
sbNNNNNg8
(g9
g10
NtRp55458
(dp55459
g13
Nsg14
Nsg15
VThis dataset contains information on individual points of discharge from treatment plants or collecting systems, localisation of discharge, link to specific treatment plant, type of receiving area into which the effluent/wastwater is dicharged, related waterbody (or river basin), information on the discharge on land.\u000aThe table T_ReceivingAreas (uwwtd_receivingareas_v4.txt) summarises information on designated sensitive areas, date of designation, the purpose of the designation, type of sensitive areas. Moreover, the table specifies which particular article of the UWWTD is applied in regards to designation of sensitive areas.
p55460
sbNNg8
(g9
g10
NtRp55461
(dp55462
g13
Nsg14
Nsg15
VFALSE
p55463
sbNNNg8
(g9
g10
NtRp55464
(dp55465
g13
Nsg14
Nsg15
VFALSE
p55466
sbNNg8
(g9
g10
NtRp55467
(dp55468
g13
Nsg14
Nsg15
VFALSE
p55469
sbNNg8
(g9
g10
NtRp55470
(dp55471
g13
Nsg14
Nsg15
VFALSE
p55472
sbNg8
(g9
g10
NtRp55473
(dp55474
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/dd31c70b-031d-46c7-b11c-e46c23ba0e00.png
p55475
sbg8
(g9
g10
NtRp55476
(dp55477
g13
Nsg14
Nsg15
VEPSG:4326
p55478
sbg8
(g9
g10
NtRp55479
(dp55480
g13
Nsg14
Nsg15
V2019-06-04
p55481
sbNg8
(g9
g10
NtRp55482
(dp55483
g13
Nsg14
Nsg15
VProduction and industrial facilities
p55484
sbg8
(g9
g10
NtRp55485
(dp55486
g13
Nsg14
Nsg15
Vcollective wastewater treatment|waste water discharge
p55487
sbg8
(g9
g10
NtRp55488
(dp55489
g13
Nsg14
Nsg15
Vvector
p55490
sbg8
(g9
g10
NtRp55491
(dp55492
g13
Nsg14
Nsg15
VSHP
p55493
sbNg8
(g9
g10
NtRp55494
(dp55495
g13
Nsg14
Nsg15
V1:100000
p55496
sbNg8
(g9
g10
NtRp55497
(dp55498
g13
Nsg14
Nsg15
VSome records are reporting erroneous lat/long coordinates:\u000awhen features are clearly erroneous, they are removed.
p55499
sbg8
(g9
g10
NtRp55500
(dp55501
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd31c70b-031d-46c7-b11c-e46c23ba0e00
p55502
sbNNg8
(g9
g10
NtRp55503
(dp55504
g13
Nsg14
Nsg15
VFALSE
p55505
sbNg8
(g9
g10
NtRp55506
(dp55507
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p55508
sbg8
(g9
g10
NtRp55509
(dp55510
g13
Nsg14
Nsg15
VFALSE
p55511
sbg8
(g9
g10
NtRp55512
(dp55513
g13
Nsg14
Nsg15
VEuropean Environment Agency
p55514
sbg8
(g9
g10
NtRp55515
(dp55516
g13
Nsg14
Nsg15
VFALSE
p55517
sbNNNNNNNg8
(g9
g10
NtRp55518
(dp55519
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55520
(dp55521
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55522
(dp55523
g13
Nsg14
Nsg15
Veea_v_4326_100_k_uwwtd-disc-pts_2007-2011_rev4
p55524
sbNg8
(g9
g10
NtRp55525
(dp55526
g13
Nsg14
Nsg15
Vsuperseded
p55527
sbtp55528
a(g8
(g9
g10
NtRp55529
(dp55530
g13
Nsg14
Nsg15
V29aee8f4-cc9f-4351-a255-453ba2f17fdf
p55531
sbNg8
(g9
g10
NtRp55532
(dp55533
g13
Nsg14
Nsg15
VBiogeographical regions, Europe 2015, version 1
p55534
sbNNNNNg8
(g9
g10
NtRp55535
(dp55536
g13
Nsg14
Nsg15
VThe biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\u000a\u000aThe 2015 version includes updated delineations of regions in Caucasus area.\u000a\u000aErrors in the delineation of the ATL region have been corrected in a newer release. This dataset should not be used anymore.
p55537
sbNNg8
(g9
g10
NtRp55538
(dp55539
g13
Nsg14
Nsg15
VFALSE
p55540
sbNNNg8
(g9
g10
NtRp55541
(dp55542
g13
Nsg14
Nsg15
VFALSE
p55543
sbNNg8
(g9
g10
NtRp55544
(dp55545
g13
Nsg14
Nsg15
VFALSE
p55546
sbNNg8
(g9
g10
NtRp55547
(dp55548
g13
Nsg14
Nsg15
VFALSE
p55549
sbNg8
(g9
g10
NtRp55550
(dp55551
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/29aee8f4-cc9f-4351-a255-453ba2f17fdf.png
p55552
sbg8
(g9
g10
NtRp55553
(dp55554
g13
Nsg14
Nsg15
VEPSG:3035
p55555
sbg8
(g9
g10
NtRp55556
(dp55557
g13
Nsg14
Nsg15
V2019-06-04
p55558
sbNg8
(g9
g10
NtRp55559
(dp55560
g13
Nsg14
Nsg15
VBio-geographical regions
p55561
sbg8
(g9
g10
NtRp55562
(dp55563
g13
Nsg14
Nsg15
Vbiodiversity
p55564
sbg8
(g9
g10
NtRp55565
(dp55566
g13
Nsg14
Nsg15
Vvector
p55567
sbg8
(g9
g10
NtRp55568
(dp55569
g13
Nsg14
Nsg15
VSHP
p55570
sbNg8
(g9
g10
NtRp55571
(dp55572
g13
Nsg14
Nsg15
V1:10000000
p55573
sbNg8
(g9
g10
NtRp55574
(dp55575
g13
Nsg14
Nsg15
VBiogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\u000a\u000aChanges in version 2011:                            \u000a\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\u000a\u000aChanges in version 2015:\u000a\u2022 Update of coast lines (the Caspian and Black Sea)\u000a\u2022 Update Ukraine from continental to Pannonian region\u000a\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\u000a\u000aThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.
p55576
sbg8
(g9
g10
NtRp55577
(dp55578
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/29aee8f4-cc9f-4351-a255-453ba2f17fdf
p55579
sbNNg8
(g9
g10
NtRp55580
(dp55581
g13
Nsg14
Nsg15
VFALSE
p55582
sbNg8
(g9
g10
NtRp55583
(dp55584
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\u000a\u000aInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\u000aThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO
p55585
sbg8
(g9
g10
NtRp55586
(dp55587
g13
Nsg14
Nsg15
VFALSE
p55588
sbg8
(g9
g10
NtRp55589
(dp55590
g13
Nsg14
Nsg15
VEuropean Environment Agency
p55591
sbg8
(g9
g10
NtRp55592
(dp55593
g13
Nsg14
Nsg15
VFALSE
p55594
sbNNNNNNNg8
(g9
g10
NtRp55595
(dp55596
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55597
(dp55598
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55599
(dp55600
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_biogeo-regions_2015_rev01
p55601
sbNg8
(g9
g10
NtRp55602
(dp55603
g13
Nsg14
Nsg15
Vsuperseded
p55604
sbtp55605
a(g8
(g9
g10
NtRp55606
(dp55607
g13
Nsg14
Nsg15
V54b64e62-3dff-495f-b322-514aa31b152f
p55608
sbNg8
(g9
g10
NtRp55609
(dp55610
g13
Nsg14
Nsg15
VNatura 2000 (vector) 100 k - version 2014, May 2015
p55611
sbNNNNNg8
(g9
g10
NtRp55612
(dp55613
g13
Nsg14
Nsg15
VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive.\u000a\u000aNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a \u000aFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database .\u000a \u000aThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released.  However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated.\u000a \u000aThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\u000a \u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a \u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a\u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
p55614
sbg8
(g23
g10
NtRp55615
(dp55616
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/natura-6
p55617
sbNg8
(g9
g10
NtRp55618
(dp55619
g13
Nsg14
Nsg15
VFALSE
p55620
sbNNNg8
(g9
g10
NtRp55621
(dp55622
g13
Nsg14
Nsg15
VFALSE
p55623
sbNNg8
(g9
g10
NtRp55624
(dp55625
g13
Nsg14
Nsg15
VFALSE
p55626
sbNNg8
(g9
g10
NtRp55627
(dp55628
g13
Nsg14
Nsg15
VFALSE
p55629
sbNg8
(g9
g10
NtRp55630
(dp55631
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/54b64e62-3dff-495f-b322-514aa31b152f.png
p55632
sbg8
(g9
g10
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54b64e62-3dff-495f-b322-514aa31b152f
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VFALSE
p55662
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g13
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VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
p55665
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VFALSE
p55668
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p55671
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p55674
sbNNNNNNNg8
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sbg8
(g9
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sbNNg8
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Veea_v_3035_100_k_natura2000_2014
p55681
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VThis dataset contains the outline of the various areas mapped under Urban Atlas.
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VFALSE
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VFALSE
p55706
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p55718
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p55721
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Vland use|urban area
p55724
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VSHP
p55730
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Nsg15
V1:10000
p55733
sbNg8
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VArea outlines have been extracted using ST_Union within PostGIS v2.0
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c90a8e6e-6c9b-4c22-be93-1f194af0d4f6
p55739
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VFALSE
p55742
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
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p55748
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VEuropean Environment Agency
p55751
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Nsg15
VFALSE
p55754
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Nsg14
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V
sbg8
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Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55759
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g13
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Veea_v_3035_10_k_urban-atlas-outline_2004-2010
p55761
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g13
Nsg14
Nsg15
Vobsolete
p55764
sbtp55765
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NtRp55766
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g13
Nsg14
Nsg15
Vc773f1a8-16ed-4f7a-91aa-f7475105f805
p55768
sbNg8
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NtRp55769
(dp55770
g13
Nsg14
Nsg15
VNatura 2000 (vector) 100 k - end 2012
p55771
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VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\u000aNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000aFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\u000aThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\u000aThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
p55774
sbg8
(g23
g10
NtRp55775
(dp55776
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/natura-3
p55777
sbNg8
(g9
g10
NtRp55778
(dp55779
g13
Nsg14
Nsg15
VFALSE
p55780
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NtRp55781
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g13
Nsg14
Nsg15
VFALSE
p55783
sbNNg8
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NtRp55784
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Nsg14
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VFALSE
p55786
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VFALSE
p55789
sbNg8
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c773f1a8-16ed-4f7a-91aa-f7475105f805.png
p55792
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NtRp55793
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VEPSG:3035
p55795
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NtRp55796
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V2019-06-04
p55798
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Nsg15
VHabitats and biotopes|Protected sites
p55801
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NtRp55802
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Nsg14
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Vnatural area|natural areas protection|protected area
p55804
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g10
NtRp55805
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g13
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Vvector
p55807
sbg8
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NtRp55808
(dp55809
g13
Nsg14
Nsg15
VSHP|SQLite
p55810
sbNg8
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NtRp55811
(dp55812
g13
Nsg14
Nsg15
V1:100000
p55813
sbNg8
(g9
g10
NtRp55814
(dp55815
g13
Nsg14
Nsg15
VMember States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year.
p55816
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(g9
g10
NtRp55817
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c773f1a8-16ed-4f7a-91aa-f7475105f805
p55819
sbNNg8
(g9
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NtRp55820
(dp55821
g13
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VFALSE
p55822
sbNg8
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NtRp55823
(dp55824
g13
Nsg14
Nsg15
VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
p55825
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NtRp55826
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g13
Nsg14
Nsg15
VFALSE
p55828
sbg8
(g9
g10
NtRp55829
(dp55830
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Nsg14
Nsg15
VEuropean Commission
p55831
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NtRp55832
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g13
Nsg14
Nsg15
VFALSE
p55834
sbNNNNNNNg8
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NtRp55835
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp55837
(dp55838
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp55839
(dp55840
g13
Nsg14
Nsg15
Veea_v_3035_100_k_natura2000_2012
p55841
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NtRp55842
(dp55843
g13
Nsg14
Nsg15
Vsuperseded
p55844
sbtp55845
a(g8
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g10
NtRp55846
(dp55847
g13
Nsg14
Nsg15
V5def38dd-eb68-4710-afd0-e92c64c76413
p55848
sbNg8
(g9
g10
NtRp55849
(dp55850
g13
Nsg14
Nsg15
VNatura 2000 (vector) 100 k - end 2012 - revision 1
p55851
sbNNNNNg8
(g9
g10
NtRp55852
(dp55853
g13
Nsg14
Nsg15
VNatura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\u000aNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000aFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\u000aThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\u000aThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites
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sbg8
(g23
g10
NtRp55855
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g15
Vhttps://www.eea.europa.eu/data-and-maps/data/natura-4
p55857
sbNg8
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g10
NtRp55858
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Nsg15
VFALSE
p55860
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NtRp55861
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g13
Nsg14
Nsg15
VFALSE
p55863
sbNNg8
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g10
NtRp55864
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g13
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VFALSE
p55866
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NtRp55867
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g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5def38dd-eb68-4710-afd0-e92c64c76413.png
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VEPSG:3035
p55875
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V2019-06-04
p55878
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Vnatural area|natural areas protection|protected area
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VSHP|SQLite
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p55893
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VMember States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year.\u000a\u000aRevision 1: Improvement of positional accuracy for Luxembourg features (60 features).
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NtRp55897
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5def38dd-eb68-4710-afd0-e92c64c76413
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VFALSE
p55902
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VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
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VFALSE
p55908
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VEuropean Commission
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Veea_v_3035_100_k_natura2000_2012_rev01
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V16908436-12ec-414a-a78c-47eb38514345
p55928
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NtRp55929
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VWISE GWB provisional dataset for Reunion island - PUBLIC VERSION, Oct. 2012
p55931
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NtRp55932
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g13
Nsg14
Nsg15
VThe sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
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p55958
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p55973
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VAll GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16908436-12ec-414a-a78c-47eb38514345
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p55985
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p55988
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p55991
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p55994
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V100m resolution raster version of the European CLC-changes (1990-2000) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.
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p56017
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VCLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\u000a - Delineation of change features larger than 5 ha based on IMAGE1990 and IMAGE2000 satellite imagery + ancillary data,\u000a - Merging country databases into a European database,\u000a - Rasterization of European CLC-change(1990-2000)data (CELL CENTER method)\u000a - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\u000a\u000aCLC-changes (1990-2000) raster data have been harmonized with CLC-changes (2000-2006) raster data.\u000aMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fec237c7-49f2-42b6-ba13-dc3cbebb43d9
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VFALSE
p56059
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p56062
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VFALSE
p56065
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VEuropean Environment Agency
p56068
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VFALSE
p56071
sbNNNNNNNg8
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NtRp56072
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V
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Veea_r_3035_100_m_clc-changes-formation-harmonised_1990-2000
p56078
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g13
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Vobsolete
p56081
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Vb2a0e6f2-142c-4554-b6c1-ead08d6b88de
p56085
sbNg8
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g10
NtRp56086
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g13
Nsg14
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VWISE GWB provisional dataset for Reunion island - INTERNAL VERSION, Oct. 2012
p56088
sbNNNNNg8
(g9
g10
NtRp56089
(dp56090
g13
Nsg14
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VThe sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p56091
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VFALSE
p56094
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p56097
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Nsg15
VFALSE
p56100
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VFALSE
p56103
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VEPSG:32740
p56109
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NtRp56110
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g13
Nsg14
Nsg15
V2019-06-04
p56112
sbNg8
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g10
NtRp56113
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g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p56115
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g10
NtRp56116
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g13
Nsg14
Nsg15
Vaquifer|groundwater
p56118
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NtRp56119
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g13
Nsg14
Nsg15
Vvector
p56121
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Nsg14
Nsg15
VSHP
p56124
sbNg8
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g13
Nsg14
Nsg15
V1:1000000
p56127
sbNg8
(g9
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NtRp56128
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g13
Nsg14
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VAll GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
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sbg8
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g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b2a0e6f2-142c-4554-b6c1-ead08d6b88de
p56133
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NtRp56134
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VFALSE
p56136
sbNg8
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NtRp56137
(dp56138
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p56139
sbg8
(g9
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NtRp56140
(dp56141
g13
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Nsg15
VFALSE
p56142
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g10
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(dp56144
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Nsg14
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VEuropean Environment Agency
p56145
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g10
NtRp56146
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g13
Nsg14
Nsg15
VFALSE
p56148
sbNNNNNNNg8
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Nsg14
Nsg15
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sbNNg8
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VSlope derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Slope, resolution 25 m)
p56165
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NtRp56166
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VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\u000a\u000aThe projection onto an Inspire compliant grid of 25m resolution and the computation of a Slope raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-SLOP.pdf).
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p56171
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p56189
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p56192
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VGTiff
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VThe Slope dataset has been created from the EU-DEM projected to ETRS89/ETRS-LAEA according to the information available in documentation/SPEC010_a100421-SLOP.pdf
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0f63ca4-a269-4769-b384-5eedd64a7522
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p56213
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VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
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VEuropean Commission, Joint Research Centre
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p56225
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VAspect derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Aspect, resolution 25 m)
p56242
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VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\u000a\u000aThe projection onto an Inspire compliant grid of 25m resolution and the computation of an Aspect raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-ASPC.pdf).
p56245
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VThis colour shaded relief image over Europe has been created using a hillshade dataset derived from the Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) projected to ETRS-LAEA. This dataset cannot be used for analysis purposes and there are some known artefacts West of Norway.\u000a\u000aThe 1000x1000km tiles are provided as GeoTIFF with LZW compression.\u000aThe mosaic is provided as GeoTIFF with DEFLATE compression.\u000a\u000aOwnership of EU-DEM belongs to European Commission, DG Enterprise and Industry.
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VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
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VThe palette applied to the EU-DEM has been derived from the wiki-1.03 palette available at http://soliton.vm.bytemark.co.uk/pub/cpt-city/wkp/template/tn/wiki-1.03.png.index.html\u000aThe resulting colour DEM image has then been merged with a hillshade dataset derived from the EU-DEM (using the GDAL hsv_merge.py command).\u000aA land/sea mask has been applied to the resulting dataset.
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VAccess to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\u000aThe following credit must be displayed when using these data: Derived from data funded under GMES preparatory action 2009 on Reference Data Access project by the European Commission, DG Enterprise and Industry.
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VWISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - INTERNAL VERSION, Oct. 2012
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VA Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations.\u000aEU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. \u000aThe WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1.\u000a\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000.\u000aThe processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out.\u000aHowever, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs.\u000aThis version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. \u000a\u000aIt should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. \u000a\u000aFor the external publication the whole United Kingdom has to be removed due to licensing restrictions.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/caca3b89-d60b-4949-a556-e15c198b8faf
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VTRUE
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VData from UK not for dissemination.
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VCorine Land Cover 2000 - 2006 harmonised changes, formation code in changed areas (raster 100m)
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V100m resolution raster version of the European CLC-changes (2000-2006) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.
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VFALSE
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V2019-06-04
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VLand cover
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VLand cover
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VCLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\u000a - Delineation of change features larger than 5 ha based on IMAGE2000 and IMAGE2006 satellite imagery + ancillary data,\u000a - Merging country databases into a European database,\u000a - Rasterization of European CLC-change(2000-2006)data (CELL CENTER method)\u000a - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\u000a\u000aCLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.\u000aMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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p56782
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VEuropean Environment Agency
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p56788
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sbNNg8
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Veea_r_3035_100_m_clc-changes-formation-harmonised_2000-2006
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VNear real time measurements of the concentration of air pollutants for the current year
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VNear real time concentration of pollutants in ambient air, measured at ground-level by monitoring stations in Europe and transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data).\u000a\u000aAll pollutants might not be monitored at all stations.\u000a\u000aThe measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.
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V2019-06-04
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VAtmospheric conditions|Environmental monitoring facilities|Human health and safety
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VNear real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/908fbf25-7769-49f5-a4c6-e54b265e44e7
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p56856
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VFALSE
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VUse by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.
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g13
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VFALSE
p56865
sbg8
(g9
g10
NtRp56866
(dp56867
g13
Nsg14
Nsg15
VEuropean Environment Agency
p56868
sbg8
(g9
g10
NtRp56869
(dp56870
g13
Nsg14
Nsg15
VFALSE
p56871
sbNNNNNNNg8
(g9
g10
NtRp56872
(dp56873
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp56874
(dp56875
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp56876
(dp56877
g13
Nsg14
Nsg15
Veea_t_4326_10_k_nrt-air-pollutants
p56878
sbNg8
(g9
g10
NtRp56879
(dp56880
g13
Nsg14
Nsg15
Vobsolete
p56881
sbtp56882
a(g8
(g9
g10
NtRp56883
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g13
Nsg14
Nsg15
V7b0b89e3-055e-4d74-a98b-02a788b3a481
p56885
sbNg8
(g9
g10
NtRp56886
(dp56887
g13
Nsg14
Nsg15
VPreliminary version of a DEM over Europe from the GSGRDA project (EU-DEM-PRE, resolution 25 m)
p56888
sbNNNNNg8
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g10
NtRp56889
(dp56890
g13
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VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\u000a\u000aThe projection onto an Inspire compliant grid of 25m resolution has been performed by the Joint Research Centre of the European Commission.
p56891
sbNNg8
(g9
g10
NtRp56892
(dp56893
g13
Nsg14
Nsg15
VFALSE
p56894
sbNNNg8
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(dp56896
g13
Nsg14
Nsg15
VFALSE
p56897
sbNNg8
(g9
g10
NtRp56898
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g13
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Nsg15
VFALSE
p56900
sbNNg8
(g9
g10
NtRp56901
(dp56902
g13
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VFALSE
p56903
sbNg8
(g9
g10
NtRp56904
(dp56905
g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7b0b89e3-055e-4d74-a98b-02a788b3a481.png
p56906
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(g9
g10
NtRp56907
(dp56908
g13
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VEPSG:3035
p56909
sbg8
(g9
g10
NtRp56910
(dp56911
g13
Nsg14
Nsg15
V2019-06-04
p56912
sbNg8
(g9
g10
NtRp56913
(dp56914
g13
Nsg14
Nsg15
VElevation|Hydrography
p56915
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(g9
g10
NtRp56916
(dp56917
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Nsg14
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VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p56918
sbg8
(g9
g10
NtRp56919
(dp56920
g13
Nsg14
Nsg15
Vgrid
p56921
sbg8
(g9
g10
NtRp56922
(dp56923
g13
Nsg14
Nsg15
VGTiff
p56924
sbNg8
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g10
NtRp56925
(dp56926
g13
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Nsg15
V25m
p56927
sbNg8
(g9
g10
NtRp56928
(dp56929
g13
Nsg14
Nsg15
VThe EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system of the original EU-DEM is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.\u000a\u000aThis dataset has been projected to ETRS89/ETRS-LAEA (EPSG code 3035).
p56930
sbg8
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g10
NtRp56931
(dp56932
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b0b89e3-055e-4d74-a98b-02a788b3a481
p56933
sbg8
(g9
g10
NtRp56934
(dp56935
g13
Nsg14
g74
sg15
V2000
p56936
sbg8
(g9
g10
NtRp56937
(dp56938
g13
Nsg14
g74
sg15
V2010
p56939
sbg8
(g9
g10
NtRp56940
(dp56941
g13
Nsg14
Nsg15
VTRUE
p56942
sbNg8
(g9
g10
NtRp56943
(dp56944
g13
Nsg14
Nsg15
VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p56945
sbg8
(g9
g10
NtRp56946
(dp56947
g13
Nsg14
Nsg15
VFALSE
p56948
sbg8
(g9
g10
NtRp56949
(dp56950
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p56951
sbg8
(g9
g10
NtRp56952
(dp56953
g13
Nsg14
Nsg15
VFALSE
p56954
sbNNNNNNNg8
(g9
g10
NtRp56955
(dp56956
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp56957
(dp56958
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp56959
(dp56960
g13
Nsg14
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Vjrc_r_3035_25_m_gsgrda-eudem_2012
p56961
sbNg8
(g9
g10
NtRp56962
(dp56963
g13
Nsg14
Nsg15
Vobsolete
p56964
sbtp56965
a(g8
(g9
g10
NtRp56966
(dp56967
g13
Nsg14
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Va6a9ee28-028e-4782-a3b1-369b1dbc5d9b
p56968
sbNg8
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NtRp56969
(dp56970
g13
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VAdministrative units from EuroBoundaryMap (raster 100m)
p56971
sbNNNNNg8
(g9
g10
NtRp56972
(dp56973
g13
Nsg14
Nsg15
VThis dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 100m resolution.\u000aThis dataset is to be used with its associated legend file (EBMv5_100m.legend_final).
p56974
sbNNg8
(g9
g10
NtRp56975
(dp56976
g13
Nsg14
Nsg15
VFALSE
p56977
sbNNNg8
(g9
g10
NtRp56978
(dp56979
g13
Nsg14
Nsg15
VFALSE
p56980
sbNNg8
(g9
g10
NtRp56981
(dp56982
g13
Nsg14
Nsg15
VFALSE
p56983
sbNNg8
(g9
g10
NtRp56984
(dp56985
g13
Nsg14
Nsg15
VFALSE
p56986
sbNg8
(g9
g10
NtRp56987
(dp56988
g13
Nsg14
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b.png
p56989
sbg8
(g9
g10
NtRp56990
(dp56991
g13
Nsg14
Nsg15
VEPSG:3035
p56992
sbg8
(g9
g10
NtRp56993
(dp56994
g13
Nsg14
Nsg15
V2019-06-04
p56995
sbNg8
(g9
g10
NtRp56996
(dp56997
g13
Nsg14
Nsg15
VAdministrative units
p56998
sbg8
(g9
g10
NtRp56999
(dp57000
g13
Nsg14
Nsg15
Vadministrative boundary
p57001
sbg8
(g9
g10
NtRp57002
(dp57003
g13
Nsg14
Nsg15
Vgrid
p57004
sbg8
(g9
g10
NtRp57005
(dp57006
g13
Nsg14
Nsg15
VGtiff
p57007
sbNg8
(g9
g10
NtRp57008
(dp57009
g13
Nsg14
Nsg15
V100m
p57010
sbNg8
(g9
g10
NtRp57011
(dp57012
g13
Nsg14
Nsg15
VData lineage\u000aA) Selection of features from [1], re-projection to LAEA (EPSG:3035), as described at [2]\u000aB) Rasterisation of selected EuroBoundaryMap features, in 100m resolution, see admin_boundaries_100m.sh [3]\u000aC) Import into GRASS, patching layers, export to GeoTIFF format, see [4]\u000a\u000aParent dataset\u000a[1] EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d \u000a\u000aRelated dataset\u000a[2] Administrative units from EuroBoundaryMap and GAUL (raster 1000m)\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=4c600ff2-5110-41b4-8267-821a880e8561\u000a\u000aGIS tools used\u000agdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org\u000aSource code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk)\u000a\u000aGRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/\u000aSource code for version 6.4.3svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk)\u000a\u000a[3]\u000aSee file admin_boundaries_100m.sh\u000a\u000a[4]\u000a# GRASS import\u000afor f in *.tif ; do \u000a    r.in.gdal $f out=${f%.tif}_100m\u000adone\u000a\u000a# Patching layers\u000aGRASS 6.4.3svn (laea): > r.patch input="EBMv5_NUTS_3_NUTS3_100m,EBMv5_EBM_A_TAA-EQ7_NUTS3_100m, EBMv5_EBM_A_TAA-EQ7_ICC_100m,EBMv5_EBM_A_AdministrativeUnits_AU_100m,EBMv5_EBM_A_TAA-LT5orEQ7_ICC_100m" output="EBMv5_NUTS3_AU_ICC_100m"\u000a\u000a# Export to GeoTIFF format\u000aGRASS 6.4.3svn (laea): > r.out.gdal EBMv5_NUTS3_AU_ICC_100m out=EBMv5_100m.tif createopt=COMPRESS=DEFLATE,TILED=YES nodata=0 type=Int32
p57013
sbg8
(g9
g10
NtRp57014
(dp57015
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b
p57016
sbg8
(g9
g10
NtRp57017
(dp57018
g13
Nsg14
g74
sg15
V2010
p57019
sbg8
(g9
g10
NtRp57020
(dp57021
g13
Nsg14
g74
sg15
V2010
p57022
sbg8
(g9
g10
NtRp57023
(dp57024
g13
Nsg14
Nsg15
VFALSE
p57025
sbNg8
(g9
g10
NtRp57026
(dp57027
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57028
sbg8
(g9
g10
NtRp57029
(dp57030
g13
Nsg14
Nsg15
VFALSE
p57031
sbg8
(g9
g10
NtRp57032
(dp57033
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57034
sbg8
(g9
g10
NtRp57035
(dp57036
g13
Nsg14
Nsg15
VFALSE
p57037
sbNNNNNNNg8
(g9
g10
NtRp57038
(dp57039
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57040
(dp57041
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57042
(dp57043
g13
Nsg14
Nsg15
Veea_r_3035_100_m_ebm-admin-units_2010
p57044
sbNg8
(g9
g10
NtRp57045
(dp57046
g13
Nsg14
Nsg15
Vobsolete
p57047
sbtp57048
a(g8
(g9
g10
NtRp57049
(dp57050
g13
Nsg14
Nsg15
V4974b545-a8a9-4a55-b074-dc089edb5d29
p57051
sbNg8
(g9
g10
NtRp57052
(dp57053
g13
Nsg14
Nsg15
VHillshade derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Hillshade, resolution 25 m)
p57054
sbNNNNNg8
(g9
g10
NtRp57055
(dp57056
g13
Nsg14
Nsg15
VThe EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\u000a\u000aThe projection onto an Inspire compliant grid of 25m resolution and the computation of a Hillshade raster derived from a slope and aspect datasets have been performed by the Joint Research Centre of the European Commission.
p57057
sbNNg8
(g9
g10
NtRp57058
(dp57059
g13
Nsg14
Nsg15
VFALSE
p57060
sbNNNg8
(g9
g10
NtRp57061
(dp57062
g13
Nsg14
Nsg15
VFALSE
p57063
sbNNg8
(g9
g10
NtRp57064
(dp57065
g13
Nsg14
Nsg15
VFALSE
p57066
sbNNg8
(g9
g10
NtRp57067
(dp57068
g13
Nsg14
Nsg15
VFALSE
p57069
sbNg8
(g9
g10
NtRp57070
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4974b545-a8a9-4a55-b074-dc089edb5d29.png
p57072
sbg8
(g9
g10
NtRp57073
(dp57074
g13
Nsg14
Nsg15
VEPSG:3035
p57075
sbg8
(g9
g10
NtRp57076
(dp57077
g13
Nsg14
Nsg15
V2019-06-04
p57078
sbNg8
(g9
g10
NtRp57079
(dp57080
g13
Nsg14
Nsg15
VElevation|Hydrography
p57081
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NtRp57082
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Nsg14
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VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p57084
sbg8
(g9
g10
NtRp57085
(dp57086
g13
Nsg14
Nsg15
Vgrid
p57087
sbg8
(g9
g10
NtRp57088
(dp57089
g13
Nsg14
Nsg15
VGTiff
p57090
sbNg8
(g9
g10
NtRp57091
(dp57092
g13
Nsg14
Nsg15
V25m
p57093
sbNg8
(g9
g10
NtRp57094
(dp57095
g13
Nsg14
Nsg15
VThe Hillshade dataset has been created from the Slope and Aspect datasets derived from the EU-DEM projected to ETRS89/ETRS-LAEA.
p57096
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(g9
g10
NtRp57097
(dp57098
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4974b545-a8a9-4a55-b074-dc089edb5d29
p57099
sbg8
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g10
NtRp57100
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g13
Nsg14
g74
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V2000
p57102
sbg8
(g9
g10
NtRp57103
(dp57104
g13
Nsg14
g74
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V2010
p57105
sbg8
(g9
g10
NtRp57106
(dp57107
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Nsg14
Nsg15
VTRUE
p57108
sbNg8
(g9
g10
NtRp57109
(dp57110
g13
Nsg14
Nsg15
VPremilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\u000aAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\u000aThey must stay strictly INTERNAL (i.e. within EU Institutions).\u000aOnly after acceptance of the product by DG ENTR these data may be disclosed.
p57111
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(g9
g10
NtRp57112
(dp57113
g13
Nsg14
Nsg15
VFALSE
p57114
sbg8
(g9
g10
NtRp57115
(dp57116
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p57117
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(g9
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NtRp57118
(dp57119
g13
Nsg14
Nsg15
VFALSE
p57120
sbNNNNNNNg8
(g9
g10
NtRp57121
(dp57122
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57123
(dp57124
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57125
(dp57126
g13
Nsg14
Nsg15
Vjrc_r_3035_25_m_gsgrda-eudem-hillshade_2012
p57127
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g10
NtRp57128
(dp57129
g13
Nsg14
Nsg15
Vobsolete
p57130
sbtp57131
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(g9
g10
NtRp57132
(dp57133
g13
Nsg14
Nsg15
V8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6
p57134
sbNg8
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g10
NtRp57135
(dp57136
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 4 - PUBLIC VERSION, Oct. 2012
p57137
sbNNNNNg8
(g9
g10
NtRp57138
(dp57139
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57140
sbg8
(g23
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NtRp57141
(dp57142
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57143
sbNg8
(g9
g10
NtRp57144
(dp57145
g13
Nsg14
Nsg15
VFALSE
p57146
sbNNNg8
(g9
g10
NtRp57147
(dp57148
g13
Nsg14
Nsg15
VFALSE
p57149
sbNNg8
(g9
g10
NtRp57150
(dp57151
g13
Nsg14
Nsg15
VFALSE
p57152
sbNNg8
(g9
g10
NtRp57153
(dp57154
g13
Nsg14
Nsg15
VFALSE
p57155
sbNg8
(g9
g10
NtRp57156
(dp57157
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6.png
p57158
sbNg8
(g9
g10
NtRp57159
(dp57160
g13
Nsg14
Nsg15
V2019-06-04
p57161
sbNg8
(g9
g10
NtRp57162
(dp57163
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57164
sbg8
(g9
g10
NtRp57165
(dp57166
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57167
sbg8
(g9
g10
NtRp57168
(dp57169
g13
Nsg14
Nsg15
Vvector
p57170
sbg8
(g9
g10
NtRp57171
(dp57172
g13
Nsg14
Nsg15
VSHP
p57173
sbNg8
(g9
g10
NtRp57174
(dp57175
g13
Nsg14
Nsg15
V1:1000000
p57176
sbNg8
(g9
g10
NtRp57177
(dp57178
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57179
sbg8
(g9
g10
NtRp57180
(dp57181
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6
p57182
sbNNg8
(g9
g10
NtRp57183
(dp57184
g13
Nsg14
Nsg15
VFALSE
p57185
sbNg8
(g9
g10
NtRp57186
(dp57187
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57188
sbg8
(g9
g10
NtRp57189
(dp57190
g13
Nsg14
Nsg15
VFALSE
p57191
sbg8
(g9
g10
NtRp57192
(dp57193
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57194
sbg8
(g9
g10
NtRp57195
(dp57196
g13
Nsg14
Nsg15
VFALSE
p57197
sbNNNNNNNg8
(g9
g10
NtRp57198
(dp57199
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57200
(dp57201
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57202
(dp57203
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h4_2009-2011
p57204
sbNg8
(g9
g10
NtRp57205
(dp57206
g13
Nsg14
Nsg15
Vobsolete
p57207
sbtp57208
a(g8
(g9
g10
NtRp57209
(dp57210
g13
Nsg14
Nsg15
Vbd7d802f-f08d-4430-b514-362e8c443a6f
p57211
sbNg8
(g9
g10
NtRp57212
(dp57213
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 5 - PUBLIC VERSION, Oct. 2012
p57214
sbNNNNNg8
(g9
g10
NtRp57215
(dp57216
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57217
sbg8
(g23
g10
NtRp57218
(dp57219
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57220
sbNg8
(g9
g10
NtRp57221
(dp57222
g13
Nsg14
Nsg15
VFALSE
p57223
sbNNNg8
(g9
g10
NtRp57224
(dp57225
g13
Nsg14
Nsg15
VFALSE
p57226
sbNNg8
(g9
g10
NtRp57227
(dp57228
g13
Nsg14
Nsg15
VFALSE
p57229
sbNNg8
(g9
g10
NtRp57230
(dp57231
g13
Nsg14
Nsg15
VFALSE
p57232
sbNg8
(g9
g10
NtRp57233
(dp57234
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd7d802f-f08d-4430-b514-362e8c443a6f.png
p57235
sbNg8
(g9
g10
NtRp57236
(dp57237
g13
Nsg14
Nsg15
V2019-06-04
p57238
sbNg8
(g9
g10
NtRp57239
(dp57240
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57241
sbg8
(g9
g10
NtRp57242
(dp57243
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57244
sbg8
(g9
g10
NtRp57245
(dp57246
g13
Nsg14
Nsg15
Vvector
p57247
sbg8
(g9
g10
NtRp57248
(dp57249
g13
Nsg14
Nsg15
VSHP
p57250
sbNg8
(g9
g10
NtRp57251
(dp57252
g13
Nsg14
Nsg15
V1:1000000
p57253
sbNg8
(g9
g10
NtRp57254
(dp57255
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57256
sbg8
(g9
g10
NtRp57257
(dp57258
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd7d802f-f08d-4430-b514-362e8c443a6f
p57259
sbNNg8
(g9
g10
NtRp57260
(dp57261
g13
Nsg14
Nsg15
VFALSE
p57262
sbNg8
(g9
g10
NtRp57263
(dp57264
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57265
sbg8
(g9
g10
NtRp57266
(dp57267
g13
Nsg14
Nsg15
VFALSE
p57268
sbg8
(g9
g10
NtRp57269
(dp57270
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57271
sbg8
(g9
g10
NtRp57272
(dp57273
g13
Nsg14
Nsg15
VFALSE
p57274
sbNNNNNNNg8
(g9
g10
NtRp57275
(dp57276
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57277
(dp57278
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57279
(dp57280
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h5_2009-2011
p57281
sbNg8
(g9
g10
NtRp57282
(dp57283
g13
Nsg14
Nsg15
Vobsolete
p57284
sbtp57285
a(g8
(g9
g10
NtRp57286
(dp57287
g13
Nsg14
Nsg15
Vf5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f
p57288
sbNg8
(g9
g10
NtRp57289
(dp57290
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 2 - PUBLIC VERSION, Oct. 2012
p57291
sbNNNNNg8
(g9
g10
NtRp57292
(dp57293
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57294
sbg8
(g23
g10
NtRp57295
(dp57296
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57297
sbNg8
(g9
g10
NtRp57298
(dp57299
g13
Nsg14
Nsg15
VFALSE
p57300
sbNNNg8
(g9
g10
NtRp57301
(dp57302
g13
Nsg14
Nsg15
VFALSE
p57303
sbNNg8
(g9
g10
NtRp57304
(dp57305
g13
Nsg14
Nsg15
VFALSE
p57306
sbNNg8
(g9
g10
NtRp57307
(dp57308
g13
Nsg14
Nsg15
VFALSE
p57309
sbNg8
(g9
g10
NtRp57310
(dp57311
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f.png
p57312
sbNg8
(g9
g10
NtRp57313
(dp57314
g13
Nsg14
Nsg15
V2019-06-04
p57315
sbNg8
(g9
g10
NtRp57316
(dp57317
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57318
sbg8
(g9
g10
NtRp57319
(dp57320
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57321
sbg8
(g9
g10
NtRp57322
(dp57323
g13
Nsg14
Nsg15
Vvector
p57324
sbg8
(g9
g10
NtRp57325
(dp57326
g13
Nsg14
Nsg15
VSHP
p57327
sbNg8
(g9
g10
NtRp57328
(dp57329
g13
Nsg14
Nsg15
V1:1000000
p57330
sbNg8
(g9
g10
NtRp57331
(dp57332
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57333
sbg8
(g9
g10
NtRp57334
(dp57335
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f
p57336
sbNNg8
(g9
g10
NtRp57337
(dp57338
g13
Nsg14
Nsg15
VFALSE
p57339
sbNg8
(g9
g10
NtRp57340
(dp57341
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57342
sbg8
(g9
g10
NtRp57343
(dp57344
g13
Nsg14
Nsg15
VFALSE
p57345
sbg8
(g9
g10
NtRp57346
(dp57347
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57348
sbg8
(g9
g10
NtRp57349
(dp57350
g13
Nsg14
Nsg15
VFALSE
p57351
sbNNNNNNNg8
(g9
g10
NtRp57352
(dp57353
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57354
(dp57355
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57356
(dp57357
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h2_2009-2011
p57358
sbNg8
(g9
g10
NtRp57359
(dp57360
g13
Nsg14
Nsg15
Vobsolete
p57361
sbtp57362
a(g8
(g9
g10
NtRp57363
(dp57364
g13
Nsg14
Nsg15
V227bba8d-ae07-49ec-8600-bc93c1d8d9d1
p57365
sbNg8
(g9
g10
NtRp57366
(dp57367
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 1 - PUBLIC VERSION, Oct. 2012
p57368
sbNNNNNg8
(g9
g10
NtRp57369
(dp57370
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0) and the United Kingdom, which are located in the usually uppermost horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57371
sbg8
(g23
g10
NtRp57372
(dp57373
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57374
sbNg8
(g9
g10
NtRp57375
(dp57376
g13
Nsg14
Nsg15
VFALSE
p57377
sbNNNg8
(g9
g10
NtRp57378
(dp57379
g13
Nsg14
Nsg15
VFALSE
p57380
sbNNg8
(g9
g10
NtRp57381
(dp57382
g13
Nsg14
Nsg15
VFALSE
p57383
sbNNg8
(g9
g10
NtRp57384
(dp57385
g13
Nsg14
Nsg15
VFALSE
p57386
sbNg8
(g9
g10
NtRp57387
(dp57388
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/227bba8d-ae07-49ec-8600-bc93c1d8d9d1.png
p57389
sbNg8
(g9
g10
NtRp57390
(dp57391
g13
Nsg14
Nsg15
V2019-06-04
p57392
sbNg8
(g9
g10
NtRp57393
(dp57394
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57395
sbg8
(g9
g10
NtRp57396
(dp57397
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57398
sbg8
(g9
g10
NtRp57399
(dp57400
g13
Nsg14
Nsg15
Vvector
p57401
sbg8
(g9
g10
NtRp57402
(dp57403
g13
Nsg14
Nsg15
VSHP
p57404
sbNg8
(g9
g10
NtRp57405
(dp57406
g13
Nsg14
Nsg15
V1:1000000
p57407
sbNg8
(g9
g10
NtRp57408
(dp57409
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.\u000a\u000aDue to licensing restrictions, UK data have been removed.
p57410
sbg8
(g9
g10
NtRp57411
(dp57412
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/227bba8d-ae07-49ec-8600-bc93c1d8d9d1
p57413
sbNNg8
(g9
g10
NtRp57414
(dp57415
g13
Nsg14
Nsg15
VFALSE
p57416
sbNg8
(g9
g10
NtRp57417
(dp57418
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57419
sbg8
(g9
g10
NtRp57420
(dp57421
g13
Nsg14
Nsg15
VFALSE
p57422
sbg8
(g9
g10
NtRp57423
(dp57424
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57425
sbg8
(g9
g10
NtRp57426
(dp57427
g13
Nsg14
Nsg15
VFALSE
p57428
sbNNNNNNNg8
(g9
g10
NtRp57429
(dp57430
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57431
(dp57432
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57433
(dp57434
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h1_2009-2011
p57435
sbNg8
(g9
g10
NtRp57436
(dp57437
g13
Nsg14
Nsg15
Vobsolete
p57438
sbtp57439
a(g8
(g9
g10
NtRp57440
(dp57441
g13
Nsg14
Nsg15
Va631fb3b-d171-4924-a44c-6e80d49fdabf
p57442
sbNg8
(g9
g10
NtRp57443
(dp57444
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 3 - PUBLIC VERSION, Oct. 2012
p57445
sbNNNNNg8
(g9
g10
NtRp57446
(dp57447
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57448
sbg8
(g23
g10
NtRp57449
(dp57450
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57451
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(g9
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g13
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VFALSE
p57454
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p57457
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(g9
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NtRp57458
(dp57459
g13
Nsg14
Nsg15
VFALSE
p57460
sbNNg8
(g9
g10
NtRp57461
(dp57462
g13
Nsg14
Nsg15
VFALSE
p57463
sbNg8
(g9
g10
NtRp57464
(dp57465
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a631fb3b-d171-4924-a44c-6e80d49fdabf.png
p57466
sbNg8
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g10
NtRp57467
(dp57468
g13
Nsg14
Nsg15
V2019-06-04
p57469
sbNg8
(g9
g10
NtRp57470
(dp57471
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57472
sbg8
(g9
g10
NtRp57473
(dp57474
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57475
sbg8
(g9
g10
NtRp57476
(dp57477
g13
Nsg14
Nsg15
Vvector
p57478
sbg8
(g9
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NtRp57479
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g13
Nsg14
Nsg15
VSHP
p57481
sbNg8
(g9
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NtRp57482
(dp57483
g13
Nsg14
Nsg15
V1:1000000
p57484
sbNg8
(g9
g10
NtRp57485
(dp57486
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57487
sbg8
(g9
g10
NtRp57488
(dp57489
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a631fb3b-d171-4924-a44c-6e80d49fdabf
p57490
sbNNg8
(g9
g10
NtRp57491
(dp57492
g13
Nsg14
Nsg15
VFALSE
p57493
sbNg8
(g9
g10
NtRp57494
(dp57495
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57496
sbg8
(g9
g10
NtRp57497
(dp57498
g13
Nsg14
Nsg15
VFALSE
p57499
sbg8
(g9
g10
NtRp57500
(dp57501
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57502
sbg8
(g9
g10
NtRp57503
(dp57504
g13
Nsg14
Nsg15
VFALSE
p57505
sbNNNNNNNg8
(g9
g10
NtRp57506
(dp57507
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57508
(dp57509
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57510
(dp57511
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h3_2009-2011
p57512
sbNg8
(g9
g10
NtRp57513
(dp57514
g13
Nsg14
Nsg15
Vobsolete
p57515
sbtp57516
a(g8
(g9
g10
NtRp57517
(dp57518
g13
Nsg14
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V79a5b6c5-da5a-4cc3-9200-406fb6b745fb
p57519
sbNg8
(g9
g10
NtRp57520
(dp57521
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for Switzerland - PUBLIC VERSION, Oct. 2012
p57522
sbNNNNNg8
(g9
g10
NtRp57523
(dp57524
g13
Nsg14
Nsg15
VSwitzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57525
sbg8
(g23
g10
NtRp57526
(dp57527
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57528
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(g9
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NtRp57529
(dp57530
g13
Nsg14
Nsg15
VFALSE
p57531
sbNNNg8
(g9
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NtRp57532
(dp57533
g13
Nsg14
Nsg15
VFALSE
p57534
sbNNg8
(g9
g10
NtRp57535
(dp57536
g13
Nsg14
Nsg15
VFALSE
p57537
sbNNg8
(g9
g10
NtRp57538
(dp57539
g13
Nsg14
Nsg15
VFALSE
p57540
sbNg8
(g9
g10
NtRp57541
(dp57542
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/79a5b6c5-da5a-4cc3-9200-406fb6b745fb.png
p57543
sbNg8
(g9
g10
NtRp57544
(dp57545
g13
Nsg14
Nsg15
V2019-06-04
p57546
sbNg8
(g9
g10
NtRp57547
(dp57548
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57549
sbg8
(g9
g10
NtRp57550
(dp57551
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57552
sbg8
(g9
g10
NtRp57553
(dp57554
g13
Nsg14
Nsg15
Vvector
p57555
sbg8
(g9
g10
NtRp57556
(dp57557
g13
Nsg14
Nsg15
VSHP
p57558
sbNg8
(g9
g10
NtRp57559
(dp57560
g13
Nsg14
Nsg15
V1:1000000
p57561
sbNg8
(g9
g10
NtRp57562
(dp57563
g13
Nsg14
Nsg15
VSwitzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns \u201cGWB_Code\u201d ,\u201cGWB_Name\u201d and \u201cHorizon\u201d. \u000aThere is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.
p57564
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(g9
g10
NtRp57565
(dp57566
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79a5b6c5-da5a-4cc3-9200-406fb6b745fb
p57567
sbNNg8
(g9
g10
NtRp57568
(dp57569
g13
Nsg14
Nsg15
VFALSE
p57570
sbNg8
(g9
g10
NtRp57571
(dp57572
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57573
sbg8
(g9
g10
NtRp57574
(dp57575
g13
Nsg14
Nsg15
VFALSE
p57576
sbg8
(g9
g10
NtRp57577
(dp57578
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57579
sbg8
(g9
g10
NtRp57580
(dp57581
g13
Nsg14
Nsg15
VFALSE
p57582
sbNNNNNNNg8
(g9
g10
NtRp57583
(dp57584
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57585
(dp57586
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57587
(dp57588
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-ch_2009-2011
p57589
sbNg8
(g9
g10
NtRp57590
(dp57591
g13
Nsg14
Nsg15
Vobsolete
p57592
sbtp57593
a(g8
(g9
g10
NtRp57594
(dp57595
g13
Nsg14
Nsg15
V840383d1-6e67-44fc-9763-b2c539805be8
p57596
sbNg8
(g9
g10
NtRp57597
(dp57598
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizons 6 and 7 - PUBLIC VERSION, Oct. 2012
p57599
sbNNNNNg8
(g9
g10
NtRp57600
(dp57601
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57602
sbg8
(g23
g10
NtRp57603
(dp57604
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57605
sbNg8
(g9
g10
NtRp57606
(dp57607
g13
Nsg14
Nsg15
VFALSE
p57608
sbNNNg8
(g9
g10
NtRp57609
(dp57610
g13
Nsg14
Nsg15
VFALSE
p57611
sbNNg8
(g9
g10
NtRp57612
(dp57613
g13
Nsg14
Nsg15
VFALSE
p57614
sbNNg8
(g9
g10
NtRp57615
(dp57616
g13
Nsg14
Nsg15
VFALSE
p57617
sbNg8
(g9
g10
NtRp57618
(dp57619
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/840383d1-6e67-44fc-9763-b2c539805be8.png
p57620
sbNg8
(g9
g10
NtRp57621
(dp57622
g13
Nsg14
Nsg15
V2019-06-04
p57623
sbNg8
(g9
g10
NtRp57624
(dp57625
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57626
sbg8
(g9
g10
NtRp57627
(dp57628
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57629
sbg8
(g9
g10
NtRp57630
(dp57631
g13
Nsg14
Nsg15
Vvector
p57632
sbg8
(g9
g10
NtRp57633
(dp57634
g13
Nsg14
Nsg15
VSHP
p57635
sbNg8
(g9
g10
NtRp57636
(dp57637
g13
Nsg14
Nsg15
V1:1000000
p57638
sbNg8
(g9
g10
NtRp57639
(dp57640
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57641
sbg8
(g9
g10
NtRp57642
(dp57643
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/840383d1-6e67-44fc-9763-b2c539805be8
p57644
sbg8
(g9
g10
NtRp57645
(dp57646
g13
Nsg14
g74
sg15
V2009
p57647
sbg8
(g9
g10
NtRp57648
(dp57649
g13
Nsg14
g74
sg15
V2011
p57650
sbg8
(g9
g10
NtRp57651
(dp57652
g13
Nsg14
Nsg15
VTRUE
p57653
sbNg8
(g9
g10
NtRp57654
(dp57655
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57656
sbg8
(g9
g10
NtRp57657
(dp57658
g13
Nsg14
Nsg15
VFALSE
p57659
sbg8
(g9
g10
NtRp57660
(dp57661
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57662
sbg8
(g9
g10
NtRp57663
(dp57664
g13
Nsg14
Nsg15
VFALSE
p57665
sbNNNNNNNg8
(g9
g10
NtRp57666
(dp57667
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57668
(dp57669
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57670
(dp57671
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h6-h7_2009-2011
p57672
sbNg8
(g9
g10
NtRp57673
(dp57674
g13
Nsg14
Nsg15
Vobsolete
p57675
sbtp57676
a(g8
(g9
g10
NtRp57677
(dp57678
g13
Nsg14
Nsg15
Vfe355506-b74e-43d5-82c4-ec3467d514d8
p57679
sbNg8
(g9
g10
NtRp57680
(dp57681
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 0 - PUBLIC VERSION, Oct. 2012
p57682
sbNNNNNg8
(g9
g10
NtRp57683
(dp57684
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_public_h0 comprises all Ground Water Bodies of Spain lacking a horizon allocation and all GWBs of Estonia.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column â\u20ac\u0153Scaleâ\u20ac of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57685
sbg8
(g23
g10
NtRp57686
(dp57687
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/wise-groundwater
p57688
sbNg8
(g9
g10
NtRp57689
(dp57690
g13
Nsg14
Nsg15
VFALSE
p57691
sbNNNg8
(g9
g10
NtRp57692
(dp57693
g13
Nsg14
Nsg15
VFALSE
p57694
sbNNg8
(g9
g10
NtRp57695
(dp57696
g13
Nsg14
Nsg15
VFALSE
p57697
sbNNg8
(g9
g10
NtRp57698
(dp57699
g13
Nsg14
Nsg15
VFALSE
p57700
sbNg8
(g9
g10
NtRp57701
(dp57702
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe355506-b74e-43d5-82c4-ec3467d514d8.png
p57703
sbNg8
(g9
g10
NtRp57704
(dp57705
g13
Nsg14
Nsg15
V2019-06-04
p57706
sbNg8
(g9
g10
NtRp57707
(dp57708
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57709
sbg8
(g9
g10
NtRp57710
(dp57711
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57712
sbg8
(g9
g10
NtRp57713
(dp57714
g13
Nsg14
Nsg15
Vvector
p57715
sbg8
(g9
g10
NtRp57716
(dp57717
g13
Nsg14
Nsg15
VSHP
p57718
sbNg8
(g9
g10
NtRp57719
(dp57720
g13
Nsg14
Nsg15
V1:1000000
p57721
sbNg8
(g9
g10
NtRp57722
(dp57723
g13
Nsg14
Nsg15
VAll GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.\u000aDue to licensing restrictions, UK data have been removed.
p57724
sbg8
(g9
g10
NtRp57725
(dp57726
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe355506-b74e-43d5-82c4-ec3467d514d8
p57727
sbg8
(g9
g10
NtRp57728
(dp57729
g13
Nsg14
g74
sg15
V2009
p57730
sbg8
(g9
g10
NtRp57731
(dp57732
g13
Nsg14
g74
sg15
V2011
p57733
sbg8
(g9
g10
NtRp57734
(dp57735
g13
Nsg14
Nsg15
VTRUE
p57736
sbNg8
(g9
g10
NtRp57737
(dp57738
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57739
sbg8
(g9
g10
NtRp57740
(dp57741
g13
Nsg14
Nsg15
VFALSE
p57742
sbg8
(g9
g10
NtRp57743
(dp57744
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57745
sbg8
(g9
g10
NtRp57746
(dp57747
g13
Nsg14
Nsg15
VFALSE
p57748
sbNNNNNNNg8
(g9
g10
NtRp57749
(dp57750
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57751
(dp57752
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57753
(dp57754
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-public-h0_2009-2011
p57755
sbNg8
(g9
g10
NtRp57756
(dp57757
g13
Nsg14
Nsg15
Vobsolete
p57758
sbtp57759
a(g8
(g9
g10
NtRp57760
(dp57761
g13
Nsg14
Nsg15
V9622192a-cdf7-4924-8e16-54c8bb941b11
p57762
sbNg8
(g9
g10
NtRp57763
(dp57764
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 5 - INTERNAL VERSION, Oct. 2012
p57765
sbNNNNNg8
(g9
g10
NtRp57766
(dp57767
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57768
sbNNg8
(g9
g10
NtRp57769
(dp57770
g13
Nsg14
Nsg15
VFALSE
p57771
sbNNNg8
(g9
g10
NtRp57772
(dp57773
g13
Nsg14
Nsg15
VFALSE
p57774
sbNNg8
(g9
g10
NtRp57775
(dp57776
g13
Nsg14
Nsg15
VFALSE
p57777
sbNNg8
(g9
g10
NtRp57778
(dp57779
g13
Nsg14
Nsg15
VFALSE
p57780
sbNg8
(g9
g10
NtRp57781
(dp57782
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9622192a-cdf7-4924-8e16-54c8bb941b11.png
p57783
sbNg8
(g9
g10
NtRp57784
(dp57785
g13
Nsg14
Nsg15
V2019-06-04
p57786
sbNg8
(g9
g10
NtRp57787
(dp57788
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57789
sbg8
(g9
g10
NtRp57790
(dp57791
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57792
sbg8
(g9
g10
NtRp57793
(dp57794
g13
Nsg14
Nsg15
Vvector
p57795
sbg8
(g9
g10
NtRp57796
(dp57797
g13
Nsg14
Nsg15
VSHP
p57798
sbNg8
(g9
g10
NtRp57799
(dp57800
g13
Nsg14
Nsg15
V1:1000000
p57801
sbNg8
(g9
g10
NtRp57802
(dp57803
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57804
sbg8
(g9
g10
NtRp57805
(dp57806
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9622192a-cdf7-4924-8e16-54c8bb941b11
p57807
sbNNg8
(g9
g10
NtRp57808
(dp57809
g13
Nsg14
Nsg15
VFALSE
p57810
sbNg8
(g9
g10
NtRp57811
(dp57812
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p57813
sbg8
(g9
g10
NtRp57814
(dp57815
g13
Nsg14
Nsg15
VFALSE
p57816
sbg8
(g9
g10
NtRp57817
(dp57818
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57819
sbg8
(g9
g10
NtRp57820
(dp57821
g13
Nsg14
Nsg15
VFALSE
p57822
sbNNNNNNNg8
(g9
g10
NtRp57823
(dp57824
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57825
(dp57826
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57827
(dp57828
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h5_2009-2011
p57829
sbNg8
(g9
g10
NtRp57830
(dp57831
g13
Nsg14
Nsg15
Vobsolete
p57832
sbtp57833
a(g8
(g9
g10
NtRp57834
(dp57835
g13
Nsg14
Nsg15
V956bda32-67cc-4af8-bea7-61ec02f45582
p57836
sbNg8
(g9
g10
NtRp57837
(dp57838
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 2 - INTERNAL VERSION, Oct. 2012
p57839
sbNNNNNg8
(g9
g10
NtRp57840
(dp57841
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57842
sbNNg8
(g9
g10
NtRp57843
(dp57844
g13
Nsg14
Nsg15
VFALSE
p57845
sbNNNg8
(g9
g10
NtRp57846
(dp57847
g13
Nsg14
Nsg15
VFALSE
p57848
sbNNg8
(g9
g10
NtRp57849
(dp57850
g13
Nsg14
Nsg15
VFALSE
p57851
sbNNg8
(g9
g10
NtRp57852
(dp57853
g13
Nsg14
Nsg15
VFALSE
p57854
sbNg8
(g9
g10
NtRp57855
(dp57856
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/956bda32-67cc-4af8-bea7-61ec02f45582.png
p57857
sbNg8
(g9
g10
NtRp57858
(dp57859
g13
Nsg14
Nsg15
V2019-06-04
p57860
sbNg8
(g9
g10
NtRp57861
(dp57862
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57863
sbg8
(g9
g10
NtRp57864
(dp57865
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57866
sbg8
(g9
g10
NtRp57867
(dp57868
g13
Nsg14
Nsg15
Vvector
p57869
sbg8
(g9
g10
NtRp57870
(dp57871
g13
Nsg14
Nsg15
VSHP
p57872
sbNg8
(g9
g10
NtRp57873
(dp57874
g13
Nsg14
Nsg15
V1:1000000
p57875
sbNg8
(g9
g10
NtRp57876
(dp57877
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p57878
sbg8
(g9
g10
NtRp57879
(dp57880
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956bda32-67cc-4af8-bea7-61ec02f45582
p57881
sbNNg8
(g9
g10
NtRp57882
(dp57883
g13
Nsg14
Nsg15
VFALSE
p57884
sbNg8
(g9
g10
NtRp57885
(dp57886
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p57887
sbg8
(g9
g10
NtRp57888
(dp57889
g13
Nsg14
Nsg15
VFALSE
p57890
sbg8
(g9
g10
NtRp57891
(dp57892
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57893
sbg8
(g9
g10
NtRp57894
(dp57895
g13
Nsg14
Nsg15
VFALSE
p57896
sbNNNNNNNg8
(g9
g10
NtRp57897
(dp57898
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57899
(dp57900
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57901
(dp57902
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h2_2009-2011
p57903
sbNg8
(g9
g10
NtRp57904
(dp57905
g13
Nsg14
Nsg15
Vobsolete
p57906
sbtp57907
a(g8
(g9
g10
NtRp57908
(dp57909
g13
Nsg14
Nsg15
V3b933931-f2df-4d0b-8a8a-a2c02399b75c
p57910
sbNg8
(g9
g10
NtRp57911
(dp57912
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for Switzerland - INTERNAL VERSION, Oct. 2012
p57913
sbNNNNNg8
(g9
g10
NtRp57914
(dp57915
g13
Nsg14
Nsg15
VSwitzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57916
sbNNg8
(g9
g10
NtRp57917
(dp57918
g13
Nsg14
Nsg15
VFALSE
p57919
sbNNNg8
(g9
g10
NtRp57920
(dp57921
g13
Nsg14
Nsg15
VFALSE
p57922
sbNNg8
(g9
g10
NtRp57923
(dp57924
g13
Nsg14
Nsg15
VFALSE
p57925
sbNNg8
(g9
g10
NtRp57926
(dp57927
g13
Nsg14
Nsg15
VFALSE
p57928
sbNg8
(g9
g10
NtRp57929
(dp57930
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b933931-f2df-4d0b-8a8a-a2c02399b75c.png
p57931
sbNg8
(g9
g10
NtRp57932
(dp57933
g13
Nsg14
Nsg15
V2019-06-04
p57934
sbNg8
(g9
g10
NtRp57935
(dp57936
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p57937
sbg8
(g9
g10
NtRp57938
(dp57939
g13
Nsg14
Nsg15
Vaquifer|groundwater
p57940
sbg8
(g9
g10
NtRp57941
(dp57942
g13
Nsg14
Nsg15
Vvector
p57943
sbg8
(g9
g10
NtRp57944
(dp57945
g13
Nsg14
Nsg15
VSHP
p57946
sbNg8
(g9
g10
NtRp57947
(dp57948
g13
Nsg14
Nsg15
V1:1000000
p57949
sbNg8
(g9
g10
NtRp57950
(dp57951
g13
Nsg14
Nsg15
VSwitzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns \u201cGWB_Code\u201d ,\u201cGWB_Name\u201d and \u201cHorizon\u201d. \u000aThere is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.
p57952
sbg8
(g9
g10
NtRp57953
(dp57954
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b933931-f2df-4d0b-8a8a-a2c02399b75c
p57955
sbNNg8
(g9
g10
NtRp57956
(dp57957
g13
Nsg14
Nsg15
VFALSE
p57958
sbNg8
(g9
g10
NtRp57959
(dp57960
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p57961
sbg8
(g9
g10
NtRp57962
(dp57963
g13
Nsg14
Nsg15
VFALSE
p57964
sbg8
(g9
g10
NtRp57965
(dp57966
g13
Nsg14
Nsg15
VEuropean Environment Agency
p57967
sbg8
(g9
g10
NtRp57968
(dp57969
g13
Nsg14
Nsg15
VFALSE
p57970
sbNNNNNNNg8
(g9
g10
NtRp57971
(dp57972
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp57973
(dp57974
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp57975
(dp57976
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-ch_2009-2011
p57977
sbNg8
(g9
g10
NtRp57978
(dp57979
g13
Nsg14
Nsg15
Vobsolete
p57980
sbtp57981
a(g8
(g9
g10
NtRp57982
(dp57983
g13
Nsg14
Nsg15
Vb8b0f93c-eaff-4fbd-83fa-b9e97581c9f9
p57984
sbNg8
(g9
g10
NtRp57985
(dp57986
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 0 - INTERNAL VERSION, Oct. 2012
p57987
sbNNNNNg8
(g9
g10
NtRp57988
(dp57989
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h0 comprises all Ground Water Bodies of Spain and the United Kingdom lacking a horizon allocation and all GWBs of Estonia.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column â\u20ac\u0153Scaleâ\u20ac of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p57990
sbNNg8
(g9
g10
NtRp57991
(dp57992
g13
Nsg14
Nsg15
VFALSE
p57993
sbNNNg8
(g9
g10
NtRp57994
(dp57995
g13
Nsg14
Nsg15
VFALSE
p57996
sbNNg8
(g9
g10
NtRp57997
(dp57998
g13
Nsg14
Nsg15
VFALSE
p57999
sbNNg8
(g9
g10
NtRp58000
(dp58001
g13
Nsg14
Nsg15
VFALSE
p58002
sbNg8
(g9
g10
NtRp58003
(dp58004
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9.png
p58005
sbNg8
(g9
g10
NtRp58006
(dp58007
g13
Nsg14
Nsg15
V2019-06-04
p58008
sbNg8
(g9
g10
NtRp58009
(dp58010
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p58011
sbg8
(g9
g10
NtRp58012
(dp58013
g13
Nsg14
Nsg15
Vaquifer|groundwater
p58014
sbg8
(g9
g10
NtRp58015
(dp58016
g13
Nsg14
Nsg15
Vvector
p58017
sbg8
(g9
g10
NtRp58018
(dp58019
g13
Nsg14
Nsg15
VSHP
p58020
sbNg8
(g9
g10
NtRp58021
(dp58022
g13
Nsg14
Nsg15
V1:1000000
p58023
sbNg8
(g9
g10
NtRp58024
(dp58025
g13
Nsg14
Nsg15
VAll GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p58026
sbg8
(g9
g10
NtRp58027
(dp58028
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9
p58029
sbNNg8
(g9
g10
NtRp58030
(dp58031
g13
Nsg14
Nsg15
VFALSE
p58032
sbNg8
(g9
g10
NtRp58033
(dp58034
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p58035
sbg8
(g9
g10
NtRp58036
(dp58037
g13
Nsg14
Nsg15
VFALSE
p58038
sbg8
(g9
g10
NtRp58039
(dp58040
g13
Nsg14
Nsg15
VEuropean Environment Agency
p58041
sbg8
(g9
g10
NtRp58042
(dp58043
g13
Nsg14
Nsg15
VFALSE
p58044
sbNNNNNNNg8
(g9
g10
NtRp58045
(dp58046
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58047
(dp58048
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58049
(dp58050
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h0_2009-2011
p58051
sbNg8
(g9
g10
NtRp58052
(dp58053
g13
Nsg14
Nsg15
Vobsolete
p58054
sbtp58055
a(g8
(g9
g10
NtRp58056
(dp58057
g13
Nsg14
Nsg15
Ve9155857-b51e-4759-8299-f02b98f2cab7
p58058
sbNg8
(g9
g10
NtRp58059
(dp58060
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 3 - INTERNAL VERSION, Oct. 2012
p58061
sbNNNNNg8
(g9
g10
NtRp58062
(dp58063
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p58064
sbNNg8
(g9
g10
NtRp58065
(dp58066
g13
Nsg14
Nsg15
VFALSE
p58067
sbNNNg8
(g9
g10
NtRp58068
(dp58069
g13
Nsg14
Nsg15
VFALSE
p58070
sbNNg8
(g9
g10
NtRp58071
(dp58072
g13
Nsg14
Nsg15
VFALSE
p58073
sbNNg8
(g9
g10
NtRp58074
(dp58075
g13
Nsg14
Nsg15
VFALSE
p58076
sbNg8
(g9
g10
NtRp58077
(dp58078
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9155857-b51e-4759-8299-f02b98f2cab7.png
p58079
sbNg8
(g9
g10
NtRp58080
(dp58081
g13
Nsg14
Nsg15
V2019-06-04
p58082
sbNg8
(g9
g10
NtRp58083
(dp58084
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p58085
sbg8
(g9
g10
NtRp58086
(dp58087
g13
Nsg14
Nsg15
Vaquifer|groundwater
p58088
sbg8
(g9
g10
NtRp58089
(dp58090
g13
Nsg14
Nsg15
Vvector
p58091
sbg8
(g9
g10
NtRp58092
(dp58093
g13
Nsg14
Nsg15
VSHP
p58094
sbNg8
(g9
g10
NtRp58095
(dp58096
g13
Nsg14
Nsg15
V1:1000000
p58097
sbNg8
(g9
g10
NtRp58098
(dp58099
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p58100
sbg8
(g9
g10
NtRp58101
(dp58102
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9155857-b51e-4759-8299-f02b98f2cab7
p58103
sbNNg8
(g9
g10
NtRp58104
(dp58105
g13
Nsg14
Nsg15
VFALSE
p58106
sbNg8
(g9
g10
NtRp58107
(dp58108
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p58109
sbg8
(g9
g10
NtRp58110
(dp58111
g13
Nsg14
Nsg15
VFALSE
p58112
sbg8
(g9
g10
NtRp58113
(dp58114
g13
Nsg14
Nsg15
VEuropean Environment Agency
p58115
sbg8
(g9
g10
NtRp58116
(dp58117
g13
Nsg14
Nsg15
VFALSE
p58118
sbNNNNNNNg8
(g9
g10
NtRp58119
(dp58120
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58121
(dp58122
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58123
(dp58124
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h3_2009-2011
p58125
sbNg8
(g9
g10
NtRp58126
(dp58127
g13
Nsg14
Nsg15
Vobsolete
p58128
sbtp58129
a(g8
(g9
g10
NtRp58130
(dp58131
g13
Nsg14
Nsg15
Vc08e3ce2-d0aa-4fbc-b768-083002f583b0
p58132
sbNg8
(g9
g10
NtRp58133
(dp58134
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 4 - INTERNAL VERSION, Oct. 2012
p58135
sbNNNNNg8
(g9
g10
NtRp58136
(dp58137
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p58138
sbNNg8
(g9
g10
NtRp58139
(dp58140
g13
Nsg14
Nsg15
VFALSE
p58141
sbNNNg8
(g9
g10
NtRp58142
(dp58143
g13
Nsg14
Nsg15
VFALSE
p58144
sbNNg8
(g9
g10
NtRp58145
(dp58146
g13
Nsg14
Nsg15
VFALSE
p58147
sbNNg8
(g9
g10
NtRp58148
(dp58149
g13
Nsg14
Nsg15
VFALSE
p58150
sbNg8
(g9
g10
NtRp58151
(dp58152
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c08e3ce2-d0aa-4fbc-b768-083002f583b0.png
p58153
sbNg8
(g9
g10
NtRp58154
(dp58155
g13
Nsg14
Nsg15
V2019-06-04
p58156
sbNg8
(g9
g10
NtRp58157
(dp58158
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p58159
sbg8
(g9
g10
NtRp58160
(dp58161
g13
Nsg14
Nsg15
Vaquifer|groundwater
p58162
sbg8
(g9
g10
NtRp58163
(dp58164
g13
Nsg14
Nsg15
Vvector
p58165
sbg8
(g9
g10
NtRp58166
(dp58167
g13
Nsg14
Nsg15
VSHP
p58168
sbNg8
(g9
g10
NtRp58169
(dp58170
g13
Nsg14
Nsg15
V1:1000000
p58171
sbNg8
(g9
g10
NtRp58172
(dp58173
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p58174
sbg8
(g9
g10
NtRp58175
(dp58176
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c08e3ce2-d0aa-4fbc-b768-083002f583b0
p58177
sbNNg8
(g9
g10
NtRp58178
(dp58179
g13
Nsg14
Nsg15
VFALSE
p58180
sbNg8
(g9
g10
NtRp58181
(dp58182
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p58183
sbg8
(g9
g10
NtRp58184
(dp58185
g13
Nsg14
Nsg15
VFALSE
p58186
sbg8
(g9
g10
NtRp58187
(dp58188
g13
Nsg14
Nsg15
VEuropean Environment Agency
p58189
sbg8
(g9
g10
NtRp58190
(dp58191
g13
Nsg14
Nsg15
VFALSE
p58192
sbNNNNNNNg8
(g9
g10
NtRp58193
(dp58194
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58195
(dp58196
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58197
(dp58198
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h4_2009-2011
p58199
sbNg8
(g9
g10
NtRp58200
(dp58201
g13
Nsg14
Nsg15
Vobsolete
p58202
sbtp58203
a(g8
(g9
g10
NtRp58204
(dp58205
g13
Nsg14
Nsg15
V2a50a20d-9de9-4201-baae-f49c9d0184bf
p58206
sbNg8
(g9
g10
NtRp58207
(dp58208
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizon 1 - INTERNAL VERSION, Oct. 2012
p58209
sbNNNNNg8
(g9
g10
NtRp58210
(dp58211
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0), which are located in the usually uppermost horizon 1.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p58212
sbNNg8
(g9
g10
NtRp58213
(dp58214
g13
Nsg14
Nsg15
VFALSE
p58215
sbNNNg8
(g9
g10
NtRp58216
(dp58217
g13
Nsg14
Nsg15
VFALSE
p58218
sbNNg8
(g9
g10
NtRp58219
(dp58220
g13
Nsg14
Nsg15
VFALSE
p58221
sbNNg8
(g9
g10
NtRp58222
(dp58223
g13
Nsg14
Nsg15
VFALSE
p58224
sbNg8
(g9
g10
NtRp58225
(dp58226
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a50a20d-9de9-4201-baae-f49c9d0184bf.png
p58227
sbNg8
(g9
g10
NtRp58228
(dp58229
g13
Nsg14
Nsg15
V2019-06-04
p58230
sbNg8
(g9
g10
NtRp58231
(dp58232
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p58233
sbg8
(g9
g10
NtRp58234
(dp58235
g13
Nsg14
Nsg15
Vaquifer|groundwater
p58236
sbg8
(g9
g10
NtRp58237
(dp58238
g13
Nsg14
Nsg15
Vvector
p58239
sbg8
(g9
g10
NtRp58240
(dp58241
g13
Nsg14
Nsg15
VSHP
p58242
sbNg8
(g9
g10
NtRp58243
(dp58244
g13
Nsg14
Nsg15
V1:1000000
p58245
sbNg8
(g9
g10
NtRp58246
(dp58247
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p58248
sbg8
(g9
g10
NtRp58249
(dp58250
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a50a20d-9de9-4201-baae-f49c9d0184bf
p58251
sbg8
(g9
g10
NtRp58252
(dp58253
g13
Nsg14
g74
sg15
V2009
p58254
sbg8
(g9
g10
NtRp58255
(dp58256
g13
Nsg14
g74
sg15
V2011
p58257
sbg8
(g9
g10
NtRp58258
(dp58259
g13
Nsg14
Nsg15
VTRUE
p58260
sbNg8
(g9
g10
NtRp58261
(dp58262
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p58263
sbg8
(g9
g10
NtRp58264
(dp58265
g13
Nsg14
Nsg15
VFALSE
p58266
sbg8
(g9
g10
NtRp58267
(dp58268
g13
Nsg14
Nsg15
VEuropean Environment Agency
p58269
sbg8
(g9
g10
NtRp58270
(dp58271
g13
Nsg14
Nsg15
VFALSE
p58272
sbNNNNNNNg8
(g9
g10
NtRp58273
(dp58274
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58275
(dp58276
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58277
(dp58278
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h1_2009-2011
p58279
sbNg8
(g9
g10
NtRp58280
(dp58281
g13
Nsg14
Nsg15
Vobsolete
p58282
sbtp58283
a(g8
(g9
g10
NtRp58284
(dp58285
g13
Nsg14
Nsg15
V5542f1b8-bcda-40a8-9615-a87819770654
p58286
sbNg8
(g9
g10
NtRp58287
(dp58288
g13
Nsg14
Nsg15
VWISE GWB provisional dataset for horizons 6 and 7 - INTERNAL VERSION, Oct. 2012
p58289
sbNNNNNg8
(g9
g10
NtRp58290
(dp58291
g13
Nsg14
Nsg15
VThe shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded.\u000a			\u000aThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\u000aSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\u000a\u000aThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.
p58292
sbNNg8
(g9
g10
NtRp58293
(dp58294
g13
Nsg14
Nsg15
VFALSE
p58295
sbNNNg8
(g9
g10
NtRp58296
(dp58297
g13
Nsg14
Nsg15
VFALSE
p58298
sbNNg8
(g9
g10
NtRp58299
(dp58300
g13
Nsg14
Nsg15
VFALSE
p58301
sbNNg8
(g9
g10
NtRp58302
(dp58303
g13
Nsg14
Nsg15
VFALSE
p58304
sbNg8
(g9
g10
NtRp58305
(dp58306
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5542f1b8-bcda-40a8-9615-a87819770654.png
p58307
sbNg8
(g9
g10
NtRp58308
(dp58309
g13
Nsg14
Nsg15
V2019-06-04
p58310
sbNg8
(g9
g10
NtRp58311
(dp58312
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Hydrography
p58313
sbg8
(g9
g10
NtRp58314
(dp58315
g13
Nsg14
Nsg15
Vaquifer|groundwater
p58316
sbg8
(g9
g10
NtRp58317
(dp58318
g13
Nsg14
Nsg15
Vvector
p58319
sbg8
(g9
g10
NtRp58320
(dp58321
g13
Nsg14
Nsg15
VSHP
p58322
sbNg8
(g9
g10
NtRp58323
(dp58324
g13
Nsg14
Nsg15
V1:1000000
p58325
sbNg8
(g9
g10
NtRp58326
(dp58327
g13
Nsg14
Nsg15
VAll GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\u000aThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.
p58328
sbg8
(g9
g10
NtRp58329
(dp58330
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5542f1b8-bcda-40a8-9615-a87819770654
p58331
sbg8
(g9
g10
NtRp58332
(dp58333
g13
Nsg14
g74
sg15
V2009
p58334
sbg8
(g9
g10
NtRp58335
(dp58336
g13
Nsg14
g74
sg15
V2011
p58337
sbg8
(g9
g10
NtRp58338
(dp58339
g13
Nsg14
Nsg15
VTRUE
p58340
sbNg8
(g9
g10
NtRp58341
(dp58342
g13
Nsg14
Nsg15
VData from UK not for dissemination.
p58343
sbg8
(g9
g10
NtRp58344
(dp58345
g13
Nsg14
Nsg15
VFALSE
p58346
sbg8
(g9
g10
NtRp58347
(dp58348
g13
Nsg14
Nsg15
VEuropean Environment Agency
p58349
sbg8
(g9
g10
NtRp58350
(dp58351
g13
Nsg14
Nsg15
VFALSE
p58352
sbNNNNNNNg8
(g9
g10
NtRp58353
(dp58354
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58355
(dp58356
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58357
(dp58358
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_wise-gwb-h6-h7_2009-2011
p58359
sbNg8
(g9
g10
NtRp58360
(dp58361
g13
Nsg14
Nsg15
Vobsolete
p58362
sbtp58363
a(g8
(g9
g10
NtRp58364
(dp58365
g13
Nsg14
Nsg15
V1c269e7d-5a86-465c-8a97-00df04fa7d80
p58366
sbNg8
(g9
g10
NtRp58367
(dp58368
g13
Nsg14
Nsg15
VEuroBoundaryMap - version 10, Feb. 2016
p58369
sbNNNNNg8
(g9
g10
NtRp58370
(dp58371
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000a\u000aFeature catalogue:\u000aa) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\u000ab) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\u000ac) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\u000ad) Label points (..)\u000ae) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\u000af) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\u000ag) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\u000ah) Names of administrative units [EBM_NAM]\u000ai) Designations of administrative hierarchical levels [EBM_ISN]\u000aj) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\u000ak) Languages and character sets (Description of languages used in EBM [EBM_CHR])\u000al) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\u000a\u000aThe product EBM v10 is a full update of all countries. More details are available in EBM_v10_Specification.pdf
p58372
sbNNg8
(g9
g10
NtRp58373
(dp58374
g13
Nsg14
Nsg15
VFALSE
p58375
sbNNNg8
(g9
g10
NtRp58376
(dp58377
g13
Nsg14
Nsg15
VFALSE
p58378
sbNNg8
(g9
g10
NtRp58379
(dp58380
g13
Nsg14
Nsg15
VFALSE
p58381
sbNNg8
(g9
g10
NtRp58382
(dp58383
g13
Nsg14
Nsg15
VFALSE
p58384
sbNg8
(g9
g10
NtRp58385
(dp58386
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c269e7d-5a86-465c-8a97-00df04fa7d80.png
p58387
sbNg8
(g9
g10
NtRp58388
(dp58389
g13
Nsg14
Nsg15
V2019-06-04
p58390
sbNg8
(g9
g10
NtRp58391
(dp58392
g13
Nsg14
Nsg15
VAdministrative units
p58393
sbg8
(g9
g10
NtRp58394
(dp58395
g13
Nsg14
Nsg15
Vadministrative boundary|national boundary|sub-national boundary
p58396
sbg8
(g9
g10
NtRp58397
(dp58398
g13
Nsg14
Nsg15
Vvector
p58399
sbg8
(g9
g10
NtRp58400
(dp58401
g13
Nsg14
Nsg15
VFGeo
p58402
sbNg8
(g9
g10
NtRp58403
(dp58404
g13
Nsg14
Nsg15
V1:100000
p58405
sbNg8
(g9
g10
NtRp58406
(dp58407
g13
Nsg14
Nsg15
VPlease refer to the documents EBM_v10_QualityReport.pdf and EBM_v10_Changes.pdf under EuroBoundaryMap_v10/Descriptions_Metadata
p58408
sbg8
(g9
g10
NtRp58409
(dp58410
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c269e7d-5a86-465c-8a97-00df04fa7d80
p58411
sbNNg8
(g9
g10
NtRp58412
(dp58413
g13
Nsg14
Nsg15
VFALSE
p58414
sbNg8
(g9
g10
NtRp58415
(dp58416
g13
Nsg14
Nsg15
VLicense\u000aFor further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf\u000aFor dissemination to contractors, the form to be filled in and returned to Atanas Trifonov at Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc
p58417
sbg8
(g9
g10
NtRp58418
(dp58419
g13
Nsg14
Nsg15
VFALSE
p58420
sbNg8
(g9
g10
NtRp58421
(dp58422
g13
Nsg14
Nsg15
VFALSE
p58423
sbNNNNNNNg8
(g9
g10
NtRp58424
(dp58425
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58426
(dp58427
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58428
(dp58429
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm_i_2015_v10_r00
p58430
sbNg8
(g9
g10
NtRp58431
(dp58432
g13
Nsg14
Nsg15
Vsuperseded
p58433
sbtp58434
a(g8
(g9
g10
NtRp58435
(dp58436
g13
Nsg14
Nsg15
Vd9df4282-31e5-4b3b-85c3-9e1d2d0a50d2
p58437
sbNg8
(g9
g10
NtRp58438
(dp58439
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, built-up changes 100m - Jan. 2013
p58440
sbNNNNNg8
(g9
g10
NtRp58441
(dp58442
g13
Nsg14
Nsg15
VBuilt-up changes (built-up area is area with degree of imperviousness between 1 and 100%)\u000a\u000aClasses:\u000a0:	Area outside of WR (Working Region)\u000a1:	Built-up increase 06-09 ('true' change derived by modelling)\u000a2:	Built-up 06 - built-up 09 (no change)\u000a3:	Built-up decrease 06-09 ('true' change derived by modelling) \u000a4:	Built-up 06 - clouds 09 (no update possible)\u000a5:	Non built-up 06 - clouds09 (no update possible)\u000a6:	Built-up 09 - clouds 06 (only status information 2009)\u000a7:	Non built-up 09 - clouds06 (only status information 2009)\u000a8:	Clouds 2006 - clouds 2009 (no information available)\u000a9:	Non built-up 06 - non built-up 09 (no change)
p58443
sbNNg8
(g9
g10
NtRp58444
(dp58445
g13
Nsg14
Nsg15
VFALSE
p58446
sbNNNg8
(g9
g10
NtRp58447
(dp58448
g13
Nsg14
Nsg15
VFALSE
p58449
sbNNg8
(g9
g10
NtRp58450
(dp58451
g13
Nsg14
Nsg15
VFALSE
p58452
sbNNg8
(g9
g10
NtRp58453
(dp58454
g13
Nsg14
Nsg15
VFALSE
p58455
sbNg8
(g9
g10
NtRp58456
(dp58457
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2.png
p58458
sbg8
(g9
g10
NtRp58459
(dp58460
g13
Nsg14
Nsg15
VEPSG:3035
p58461
sbg8
(g9
g10
NtRp58462
(dp58463
g13
Nsg14
Nsg15
V2019-06-04
p58464
sbNg8
(g9
g10
NtRp58465
(dp58466
g13
Nsg14
Nsg15
VLand cover
p58467
sbg8
(g9
g10
NtRp58468
(dp58469
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58470
sbg8
(g9
g10
NtRp58471
(dp58472
g13
Nsg14
Nsg15
Vgrid
p58473
sbg8
(g9
g10
NtRp58474
(dp58475
g13
Nsg14
Nsg15
VGTiff
p58476
sbNg8
(g9
g10
NtRp58477
(dp58478
g13
Nsg14
Nsg15
V100m
p58479
sbNg8
(g9
g10
NtRp58480
(dp58481
g13
Nsg14
Nsg15
VNot available.
p58482
sbg8
(g9
g10
NtRp58483
(dp58484
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2
p58485
sbNNg8
(g9
g10
NtRp58486
(dp58487
g13
Nsg14
Nsg15
VFALSE
p58488
sbNg8
(g9
g10
NtRp58489
(dp58490
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58491
sbg8
(g9
g10
NtRp58492
(dp58493
g13
Nsg14
Nsg15
VFALSE
p58494
sbNg8
(g9
g10
NtRp58495
(dp58496
g13
Nsg14
Nsg15
VFALSE
p58497
sbNNNNNNNg8
(g9
g10
NtRp58498
(dp58499
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58500
(dp58501
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58502
(dp58503
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_built-up-changes_2006-2009
p58504
sbNg8
(g9
g10
NtRp58505
(dp58506
g13
Nsg14
Nsg15
Vobsolete
p58507
sbtp58508
a(g8
(g9
g10
NtRp58509
(dp58510
g13
Nsg14
Nsg15
V1e30596c-10a8-48e2-81ab-1dd42962d701
p58511
sbNg8
(g9
g10
NtRp58512
(dp58513
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, changes 20m - Jan. 2013
p58514
sbNNNNNg8
(g9
g10
NtRp58515
(dp58516
g13
Nsg14
Nsg15
VRaster datasets indicating changes in degrees of imperviousness. All changes included in the data, regardless of their spatial extent or degree. Changes are expressed as follows:\u000a\u000aDegree 2009 \u2013 Degree 2006 + 100.\u000a\u000aClasses:\u000a0\u201399:	Decreased imperviousness density\u000a100:	Unchanged areas with degrees of imperviousness between 1 and 100\u000a101\u2013200:Increased imperviousness density\u000a201:	Unchanged areas with degree of imperviousness of 0\u000a251:	unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006\u000a252:	unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2009\u000a253:	unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006 and 2009\u000a255:	Area outside of working region
p58517
sbNNg8
(g9
g10
NtRp58518
(dp58519
g13
Nsg14
Nsg15
VFALSE
p58520
sbNNNg8
(g9
g10
NtRp58521
(dp58522
g13
Nsg14
Nsg15
VFALSE
p58523
sbNNg8
(g9
g10
NtRp58524
(dp58525
g13
Nsg14
Nsg15
VFALSE
p58526
sbNNg8
(g9
g10
NtRp58527
(dp58528
g13
Nsg14
Nsg15
VFALSE
p58529
sbNg8
(g9
g10
NtRp58530
(dp58531
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e30596c-10a8-48e2-81ab-1dd42962d701.png
p58532
sbg8
(g9
g10
NtRp58533
(dp58534
g13
Nsg14
Nsg15
VEPSG:3035
p58535
sbg8
(g9
g10
NtRp58536
(dp58537
g13
Nsg14
Nsg15
V2019-06-04
p58538
sbNg8
(g9
g10
NtRp58539
(dp58540
g13
Nsg14
Nsg15
VLand cover
p58541
sbg8
(g9
g10
NtRp58542
(dp58543
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58544
sbg8
(g9
g10
NtRp58545
(dp58546
g13
Nsg14
Nsg15
Vgrid
p58547
sbg8
(g9
g10
NtRp58548
(dp58549
g13
Nsg14
Nsg15
VGTiff
p58550
sbNg8
(g9
g10
NtRp58551
(dp58552
g13
Nsg14
Nsg15
V20m
p58553
sbNg8
(g9
g10
NtRp58554
(dp58555
g13
Nsg14
Nsg15
VNot available.
p58556
sbg8
(g9
g10
NtRp58557
(dp58558
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e30596c-10a8-48e2-81ab-1dd42962d701
p58559
sbNNg8
(g9
g10
NtRp58560
(dp58561
g13
Nsg14
Nsg15
VFALSE
p58562
sbNg8
(g9
g10
NtRp58563
(dp58564
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58565
sbg8
(g9
g10
NtRp58566
(dp58567
g13
Nsg14
Nsg15
VFALSE
p58568
sbNg8
(g9
g10
NtRp58569
(dp58570
g13
Nsg14
Nsg15
VFALSE
p58571
sbNNNNNNNg8
(g9
g10
NtRp58572
(dp58573
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58574
(dp58575
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58576
(dp58577
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_imperviousness-changes_2006-2009
p58578
sbNg8
(g9
g10
NtRp58579
(dp58580
g13
Nsg14
Nsg15
Vobsolete
p58581
sbtp58582
a(g8
(g9
g10
NtRp58583
(dp58584
g13
Nsg14
Nsg15
V5ebd8e77-c111-4d32-a920-517b5274c17b
p58585
sbNg8
(g9
g10
NtRp58586
(dp58587
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, degrees of sealing 20m - Jan. 2013
p58588
sbNNNNNg8
(g9
g10
NtRp58589
(dp58590
g13
Nsg14
Nsg15
VRaster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (20 x 20 m).\u000a			\u000aClasses:\u000a0: 	Unsealed\u000a1-100: 	Degrees of Sealing / Imperviousness\u000a254: 	Clouds, No data\u000a255:	Outside area
p58591
sbNNg8
(g9
g10
NtRp58592
(dp58593
g13
Nsg14
Nsg15
VFALSE
p58594
sbNNNg8
(g9
g10
NtRp58595
(dp58596
g13
Nsg14
Nsg15
VFALSE
p58597
sbNNg8
(g9
g10
NtRp58598
(dp58599
g13
Nsg14
Nsg15
VFALSE
p58600
sbNNg8
(g9
g10
NtRp58601
(dp58602
g13
Nsg14
Nsg15
VFALSE
p58603
sbNg8
(g9
g10
NtRp58604
(dp58605
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5ebd8e77-c111-4d32-a920-517b5274c17b.png
p58606
sbg8
(g9
g10
NtRp58607
(dp58608
g13
Nsg14
Nsg15
VEPSG:3035
p58609
sbg8
(g9
g10
NtRp58610
(dp58611
g13
Nsg14
Nsg15
V2019-06-04
p58612
sbNg8
(g9
g10
NtRp58613
(dp58614
g13
Nsg14
Nsg15
VLand cover
p58615
sbg8
(g9
g10
NtRp58616
(dp58617
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58618
sbg8
(g9
g10
NtRp58619
(dp58620
g13
Nsg14
Nsg15
Vgrid
p58621
sbg8
(g9
g10
NtRp58622
(dp58623
g13
Nsg14
Nsg15
VGTiff
p58624
sbNg8
(g9
g10
NtRp58625
(dp58626
g13
Nsg14
Nsg15
V20m
p58627
sbNg8
(g9
g10
NtRp58628
(dp58629
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p58630
sbg8
(g9
g10
NtRp58631
(dp58632
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5ebd8e77-c111-4d32-a920-517b5274c17b
p58633
sbNNg8
(g9
g10
NtRp58634
(dp58635
g13
Nsg14
Nsg15
VFALSE
p58636
sbNg8
(g9
g10
NtRp58637
(dp58638
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58639
sbg8
(g9
g10
NtRp58640
(dp58641
g13
Nsg14
Nsg15
VFALSE
p58642
sbNg8
(g9
g10
NtRp58643
(dp58644
g13
Nsg14
Nsg15
VFALSE
p58645
sbNNNNNNNg8
(g9
g10
NtRp58646
(dp58647
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58648
(dp58649
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58650
(dp58651
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_revised-soil-sealing-degrees_2006
p58652
sbNg8
(g9
g10
NtRp58653
(dp58654
g13
Nsg14
Nsg15
Vobsolete
p58655
sbtp58656
a(g8
(g9
g10
NtRp58657
(dp58658
g13
Nsg14
Nsg15
Vb3865a4f-43d2-465f-8ead-994f47b94035
p58659
sbNg8
(g9
g10
NtRp58660
(dp58661
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, 20m sealing degrees adaptations - Jan. 2013
p58662
sbNNNNNg8
(g9
g10
NtRp58663
(dp58664
g13
Nsg14
Nsg15
VRaster data set of adaptations in built-up area done during the revision of the Sealing Degrees layer 2006.\u000a			\u000aClasses:\u000a0: 	Area outside of working area\u000a1: 	Built-up\u000a2: 	Non built-up\u000a3:	Removed\u000a4:	Added\u000a5:	No data
p58665
sbNNg8
(g9
g10
NtRp58666
(dp58667
g13
Nsg14
Nsg15
VFALSE
p58668
sbNNNg8
(g9
g10
NtRp58669
(dp58670
g13
Nsg14
Nsg15
VFALSE
p58671
sbNNg8
(g9
g10
NtRp58672
(dp58673
g13
Nsg14
Nsg15
VFALSE
p58674
sbNNg8
(g9
g10
NtRp58675
(dp58676
g13
Nsg14
Nsg15
VFALSE
p58677
sbNg8
(g9
g10
NtRp58678
(dp58679
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b3865a4f-43d2-465f-8ead-994f47b94035.png
p58680
sbg8
(g9
g10
NtRp58681
(dp58682
g13
Nsg14
Nsg15
VEPSG:3035
p58683
sbg8
(g9
g10
NtRp58684
(dp58685
g13
Nsg14
Nsg15
V2019-06-04
p58686
sbNg8
(g9
g10
NtRp58687
(dp58688
g13
Nsg14
Nsg15
VLand cover
p58689
sbg8
(g9
g10
NtRp58690
(dp58691
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58692
sbg8
(g9
g10
NtRp58693
(dp58694
g13
Nsg14
Nsg15
Vgrid
p58695
sbg8
(g9
g10
NtRp58696
(dp58697
g13
Nsg14
Nsg15
VGTiff
p58698
sbNg8
(g9
g10
NtRp58699
(dp58700
g13
Nsg14
Nsg15
V20m
p58701
sbNg8
(g9
g10
NtRp58702
(dp58703
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p58704
sbg8
(g9
g10
NtRp58705
(dp58706
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3865a4f-43d2-465f-8ead-994f47b94035
p58707
sbNNg8
(g9
g10
NtRp58708
(dp58709
g13
Nsg14
Nsg15
VFALSE
p58710
sbNg8
(g9
g10
NtRp58711
(dp58712
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58713
sbg8
(g9
g10
NtRp58714
(dp58715
g13
Nsg14
Nsg15
VFALSE
p58716
sbNg8
(g9
g10
NtRp58717
(dp58718
g13
Nsg14
Nsg15
VFALSE
p58719
sbNNNNNNNg8
(g9
g10
NtRp58720
(dp58721
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58722
(dp58723
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58724
(dp58725
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_revised-soil-sealing-degrees-adaptations_2006
p58726
sbNg8
(g9
g10
NtRp58727
(dp58728
g13
Nsg14
Nsg15
Vobsolete
p58729
sbtp58730
a(g8
(g9
g10
NtRp58731
(dp58732
g13
Nsg14
Nsg15
V82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3
p58733
sbNg8
(g9
g10
NtRp58734
(dp58735
g13
Nsg14
Nsg15
VImperviousness 2009, built-up mask 20m - Jan. 2013
p58736
sbNNNNNg8
(g9
g10
NtRp58737
(dp58738
g13
Nsg14
Nsg15
VThe built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product.\u000aThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\u000a\u000aClasses:\u000a0:	Area outside of WR\u000a1:	Discontinuous Built-up 2009 - Sealing Levels 1-79%\u000a2:	Continuous Built-up 2009 - Sealing Levels 80-100%\u000a3:	Non built-up 2009\u000a4:	Clouds 09 (excluding built-up 06 within clouds 09)
p58739
sbNNg8
(g9
g10
NtRp58740
(dp58741
g13
Nsg14
Nsg15
VFALSE
p58742
sbNNNg8
(g9
g10
NtRp58743
(dp58744
g13
Nsg14
Nsg15
VFALSE
p58745
sbNNg8
(g9
g10
NtRp58746
(dp58747
g13
Nsg14
Nsg15
VFALSE
p58748
sbNNg8
(g9
g10
NtRp58749
(dp58750
g13
Nsg14
Nsg15
VFALSE
p58751
sbNg8
(g9
g10
NtRp58752
(dp58753
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3.png
p58754
sbg8
(g9
g10
NtRp58755
(dp58756
g13
Nsg14
Nsg15
VEPSG:3035
p58757
sbg8
(g9
g10
NtRp58758
(dp58759
g13
Nsg14
Nsg15
V2019-06-04
p58760
sbNg8
(g9
g10
NtRp58761
(dp58762
g13
Nsg14
Nsg15
VLand cover
p58763
sbg8
(g9
g10
NtRp58764
(dp58765
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58766
sbg8
(g9
g10
NtRp58767
(dp58768
g13
Nsg14
Nsg15
Vgrid
p58769
sbg8
(g9
g10
NtRp58770
(dp58771
g13
Nsg14
Nsg15
VGTiff
p58772
sbNg8
(g9
g10
NtRp58773
(dp58774
g13
Nsg14
Nsg15
V20m
p58775
sbNg8
(g9
g10
NtRp58776
(dp58777
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.
p58778
sbg8
(g9
g10
NtRp58779
(dp58780
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3
p58781
sbNNg8
(g9
g10
NtRp58782
(dp58783
g13
Nsg14
Nsg15
VFALSE
p58784
sbNg8
(g9
g10
NtRp58785
(dp58786
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58787
sbg8
(g9
g10
NtRp58788
(dp58789
g13
Nsg14
Nsg15
VFALSE
p58790
sbNg8
(g9
g10
NtRp58791
(dp58792
g13
Nsg14
Nsg15
VFALSE
p58793
sbNNNNNNNg8
(g9
g10
NtRp58794
(dp58795
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58796
(dp58797
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58798
(dp58799
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_imperviousness-built-up-mask_2009
p58800
sbNg8
(g9
g10
NtRp58801
(dp58802
g13
Nsg14
Nsg15
Vobsolete
p58803
sbtp58804
a(g8
(g9
g10
NtRp58805
(dp58806
g13
Nsg14
Nsg15
Ve52a9d6b-402d-4926-a3ad-d098ca3a3315
p58807
sbNg8
(g9
g10
NtRp58808
(dp58809
g13
Nsg14
Nsg15
VImperviousness 2009 - Jan. 2013
p58810
sbNNNNNg8
(g9
g10
NtRp58811
(dp58812
g13
Nsg14
Nsg15
VThe imperviousness 2009 datasets produced by Geoland consist in:\u000a- one dataset about degrees of imperviousness at 20m resolution\u000a- one dataset about degrees of imperviousness at 100m resolution\u000a- one dataset containing the number of 20m pixels used to create the 100m resolution dataset about degrees of imperviousness \u000a- one built-up mask at 20m resolution\u000a- one built-up mask at 100m resolution
p58813
sbNNg8
(g9
g10
NtRp58814
(dp58815
g13
Nsg14
Nsg15
VFALSE
p58816
sbNNNg8
(g9
g10
NtRp58817
(dp58818
g13
Nsg14
Nsg15
VFALSE
p58819
sbNNg8
(g9
g10
NtRp58820
(dp58821
g13
Nsg14
Nsg15
VFALSE
p58822
sbNNg8
(g9
g10
NtRp58823
(dp58824
g13
Nsg14
Nsg15
VFALSE
p58825
sbNg8
(g9
g10
NtRp58826
(dp58827
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e52a9d6b-402d-4926-a3ad-d098ca3a3315.png
p58828
sbg8
(g9
g10
NtRp58829
(dp58830
g13
Nsg14
Nsg15
VEPSG:3035
p58831
sbg8
(g9
g10
NtRp58832
(dp58833
g13
Nsg14
Nsg15
V2019-06-04
p58834
sbNg8
(g9
g10
NtRp58835
(dp58836
g13
Nsg14
Nsg15
VLand cover
p58837
sbg8
(g9
g10
NtRp58838
(dp58839
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58840
sbg8
(g9
g10
NtRp58841
(dp58842
g13
Nsg14
Nsg15
Vgrid
p58843
sbg8
(g9
g10
NtRp58844
(dp58845
g13
Nsg14
Nsg15
VGTiff
p58846
sbNg8
(g9
g10
NtRp58847
(dp58848
g13
Nsg14
Nsg15
V20m
p58849
sbNg8
(g9
g10
NtRp58850
(dp58851
g13
Nsg14
Nsg15
VRefer to the report entitled "Delivery Report Revised Soil Sealing 2006 products EEA-38" for general information.
p58852
sbg8
(g9
g10
NtRp58853
(dp58854
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e52a9d6b-402d-4926-a3ad-d098ca3a3315
p58855
sbNNg8
(g9
g10
NtRp58856
(dp58857
g13
Nsg14
Nsg15
VFALSE
p58858
sbNg8
(g9
g10
NtRp58859
(dp58860
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58861
sbg8
(g9
g10
NtRp58862
(dp58863
g13
Nsg14
Nsg15
VFALSE
p58864
sbNg8
(g9
g10
NtRp58865
(dp58866
g13
Nsg14
Nsg15
VFALSE
p58867
sbNNNNNNNg8
(g9
g10
NtRp58868
(dp58869
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58870
(dp58871
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58872
(dp58873
g13
Nsg14
Nsg15
Vgeoland2_r_3035_xxx_m_imperviousness_2009
p58874
sbNg8
(g9
g10
NtRp58875
(dp58876
g13
Nsg14
Nsg15
Vobsolete
p58877
sbtp58878
a(g8
(g9
g10
NtRp58879
(dp58880
g13
Nsg14
Nsg15
V06f9055f-4467-4167-a48e-3358134c6fcd
p58881
sbNg8
(g9
g10
NtRp58882
(dp58883
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, built-up mask 100m - Jan. 2013
p58884
sbNNNNNg8
(g9
g10
NtRp58885
(dp58886
g13
Nsg14
Nsg15
VThe built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product.\u000aThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\u000a\u000aClasses:\u000a0:	Area outside of WR\u000a1:	Discontinuous Built-up 2006 - Sealing Levels 1-79%\u000a2:	Continuous Built-up 2006 - Sealing Levels 80-100%\u000a3:	Non built-up 2006\u000a4:	Clouds 2006
p58887
sbNNg8
(g9
g10
NtRp58888
(dp58889
g13
Nsg14
Nsg15
VFALSE
p58890
sbNNNg8
(g9
g10
NtRp58891
(dp58892
g13
Nsg14
Nsg15
VFALSE
p58893
sbNNg8
(g9
g10
NtRp58894
(dp58895
g13
Nsg14
Nsg15
VFALSE
p58896
sbNNg8
(g9
g10
NtRp58897
(dp58898
g13
Nsg14
Nsg15
VFALSE
p58899
sbNg8
(g9
g10
NtRp58900
(dp58901
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/06f9055f-4467-4167-a48e-3358134c6fcd.png
p58902
sbg8
(g9
g10
NtRp58903
(dp58904
g13
Nsg14
Nsg15
VEPSG:3035
p58905
sbg8
(g9
g10
NtRp58906
(dp58907
g13
Nsg14
Nsg15
V2019-06-04
p58908
sbNg8
(g9
g10
NtRp58909
(dp58910
g13
Nsg14
Nsg15
VLand cover
p58911
sbg8
(g9
g10
NtRp58912
(dp58913
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58914
sbg8
(g9
g10
NtRp58915
(dp58916
g13
Nsg14
Nsg15
Vgrid
p58917
sbg8
(g9
g10
NtRp58918
(dp58919
g13
Nsg14
Nsg15
VGTiff
p58920
sbNg8
(g9
g10
NtRp58921
(dp58922
g13
Nsg14
Nsg15
V100m
p58923
sbNg8
(g9
g10
NtRp58924
(dp58925
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p58926
sbg8
(g9
g10
NtRp58927
(dp58928
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06f9055f-4467-4167-a48e-3358134c6fcd
p58929
sbg8
(g9
g10
NtRp58930
(dp58931
g13
Nsg14
g74
sg15
V2006
p58932
sbg8
(g9
g10
NtRp58933
(dp58934
g13
Nsg14
g74
sg15
V2006
p58935
sbg8
(g9
g10
NtRp58936
(dp58937
g13
Nsg14
Nsg15
VFALSE
p58938
sbNg8
(g9
g10
NtRp58939
(dp58940
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p58941
sbg8
(g9
g10
NtRp58942
(dp58943
g13
Nsg14
Nsg15
VFALSE
p58944
sbNg8
(g9
g10
NtRp58945
(dp58946
g13
Nsg14
Nsg15
VFALSE
p58947
sbNNNNNNNg8
(g9
g10
NtRp58948
(dp58949
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp58950
(dp58951
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp58952
(dp58953
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_revised-soil-sealing-built-up-mask_2006
p58954
sbNg8
(g9
g10
NtRp58955
(dp58956
g13
Nsg14
Nsg15
Vobsolete
p58957
sbtp58958
a(g8
(g9
g10
NtRp58959
(dp58960
g13
Nsg14
Nsg15
V32d946b6-4d60-4108-bcdb-2b2e2fec5477
p58961
sbNg8
(g9
g10
NtRp58962
(dp58963
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, degrees of sealing 100m - Jan. 2013
p58964
sbNNNNNg8
(g9
g10
NtRp58965
(dp58966
g13
Nsg14
Nsg15
VRaster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (100 x 100 m).\u000a			\u000aClasses:\u000a0: 	Unsealed\u000a1-100: 	Degrees of Sealing / Imperviousness\u000a254: 	Clouds, No data\u000a255:	Outside area
p58967
sbNNg8
(g9
g10
NtRp58968
(dp58969
g13
Nsg14
Nsg15
VFALSE
p58970
sbNNNg8
(g9
g10
NtRp58971
(dp58972
g13
Nsg14
Nsg15
VFALSE
p58973
sbNNg8
(g9
g10
NtRp58974
(dp58975
g13
Nsg14
Nsg15
VFALSE
p58976
sbNNg8
(g9
g10
NtRp58977
(dp58978
g13
Nsg14
Nsg15
VFALSE
p58979
sbNg8
(g9
g10
NtRp58980
(dp58981
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/32d946b6-4d60-4108-bcdb-2b2e2fec5477.png
p58982
sbg8
(g9
g10
NtRp58983
(dp58984
g13
Nsg14
Nsg15
VEPSG:3035
p58985
sbg8
(g9
g10
NtRp58986
(dp58987
g13
Nsg14
Nsg15
V2019-06-04
p58988
sbNg8
(g9
g10
NtRp58989
(dp58990
g13
Nsg14
Nsg15
VLand cover
p58991
sbg8
(g9
g10
NtRp58992
(dp58993
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p58994
sbg8
(g9
g10
NtRp58995
(dp58996
g13
Nsg14
Nsg15
Vgrid
p58997
sbg8
(g9
g10
NtRp58998
(dp58999
g13
Nsg14
Nsg15
VGTiff
p59000
sbNg8
(g9
g10
NtRp59001
(dp59002
g13
Nsg14
Nsg15
V100m
p59003
sbNg8
(g9
g10
NtRp59004
(dp59005
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p59006
sbg8
(g9
g10
NtRp59007
(dp59008
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32d946b6-4d60-4108-bcdb-2b2e2fec5477
p59009
sbg8
(g9
g10
NtRp59010
(dp59011
g13
Nsg14
g74
sg15
V2006
p59012
sbg8
(g9
g10
NtRp59013
(dp59014
g13
Nsg14
g74
sg15
V2006
p59015
sbg8
(g9
g10
NtRp59016
(dp59017
g13
Nsg14
Nsg15
VFALSE
p59018
sbNg8
(g9
g10
NtRp59019
(dp59020
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p59021
sbg8
(g9
g10
NtRp59022
(dp59023
g13
Nsg14
Nsg15
VFALSE
p59024
sbNg8
(g9
g10
NtRp59025
(dp59026
g13
Nsg14
Nsg15
VFALSE
p59027
sbNNNNNNNg8
(g9
g10
NtRp59028
(dp59029
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp59030
(dp59031
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp59032
(dp59033
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_revised-soil-sealing-degrees_2006
p59034
sbNg8
(g9
g10
NtRp59035
(dp59036
g13
Nsg14
Nsg15
Vobsolete
p59037
sbtp59038
a(g8
(g9
g10
NtRp59039
(dp59040
g13
Nsg14
Nsg15
V2e24b906-26e8-4217-baf3-45d159af910b
p59041
sbNg8
(g9
g10
NtRp59042
(dp59043
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, changes 100m - Jan. 2013
p59044
sbNNNNNg8
(g9
g10
NtRp59045
(dp59046
g13
Nsg14
Nsg15
VImperviousness Changes 2006 - 2009 (recalculation in 2012)\u000a\u000aClasses:\u000a0-99:	 decreased imperviousness density \u000a100:	 unchanged areas with imperviousness degrees of 1-100 \u000a101-200: increased imperviousness density \u000a201: 	 unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009)\u000a254: 	 unclassifiable (no satellite image available, or clouds, shadows, or snow) \u000a255: 	 outside area
p59047
sbNNg8
(g9
g10
NtRp59048
(dp59049
g13
Nsg14
Nsg15
VFALSE
p59050
sbNNNg8
(g9
g10
NtRp59051
(dp59052
g13
Nsg14
Nsg15
VFALSE
p59053
sbNNg8
(g9
g10
NtRp59054
(dp59055
g13
Nsg14
Nsg15
VFALSE
p59056
sbNNg8
(g9
g10
NtRp59057
(dp59058
g13
Nsg14
Nsg15
VFALSE
p59059
sbNg8
(g9
g10
NtRp59060
(dp59061
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e24b906-26e8-4217-baf3-45d159af910b.png
p59062
sbg8
(g9
g10
NtRp59063
(dp59064
g13
Nsg14
Nsg15
VEPSG:3035
p59065
sbg8
(g9
g10
NtRp59066
(dp59067
g13
Nsg14
Nsg15
V2019-06-04
p59068
sbNg8
(g9
g10
NtRp59069
(dp59070
g13
Nsg14
Nsg15
VLand cover
p59071
sbg8
(g9
g10
NtRp59072
(dp59073
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p59074
sbg8
(g9
g10
NtRp59075
(dp59076
g13
Nsg14
Nsg15
Vgrid
p59077
sbg8
(g9
g10
NtRp59078
(dp59079
g13
Nsg14
Nsg15
VGTiff
p59080
sbNg8
(g9
g10
NtRp59081
(dp59082
g13
Nsg14
Nsg15
V100m
p59083
sbNg8
(g9
g10
NtRp59084
(dp59085
g13
Nsg14
Nsg15
VNot available.
p59086
sbg8
(g9
g10
NtRp59087
(dp59088
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e24b906-26e8-4217-baf3-45d159af910b
p59089
sbg8
(g9
g10
NtRp59090
(dp59091
g13
Nsg14
g74
sg15
V2006
p59092
sbg8
(g9
g10
NtRp59093
(dp59094
g13
Nsg14
g74
sg15
V2009
p59095
sbg8
(g9
g10
NtRp59096
(dp59097
g13
Nsg14
Nsg15
VTRUE
p59098
sbNg8
(g9
g10
NtRp59099
(dp59100
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p59101
sbg8
(g9
g10
NtRp59102
(dp59103
g13
Nsg14
Nsg15
VFALSE
p59104
sbNg8
(g9
g10
NtRp59105
(dp59106
g13
Nsg14
Nsg15
VFALSE
p59107
sbNNNNNNNg8
(g9
g10
NtRp59108
(dp59109
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp59110
(dp59111
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp59112
(dp59113
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_imperviousness-changes_2006-2009
p59114
sbNg8
(g9
g10
NtRp59115
(dp59116
g13
Nsg14
Nsg15
Vobsolete
p59117
sbtp59118
a(g8
(g9
g10
NtRp59119
(dp59120
g13
Nsg14
Nsg15
Vaf565a00-fbd9-4fc4-a6f1-c942238b124e
p59121
sbNg8
(g9
g10
NtRp59122
(dp59123
g13
Nsg14
Nsg15
VRevised Soil Sealing 2006, built-up mask 20m - Jan. 2013
p59124
sbNNNNNg8
(g9
g10
NtRp59125
(dp59126
g13
Nsg14
Nsg15
VThe built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product.\u000aThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\u000a\u000aClasses:\u000a0:	Area outside of WR\u000a1:	Discontinuous Built-up 2006 - Sealing Levels 1-79%\u000a2:	Continuous Built-up 2006 - Sealing Levels 80-100%\u000a3:	Non built-up 2006\u000a4:	Clouds 2006
p59127
sbNNg8
(g9
g10
NtRp59128
(dp59129
g13
Nsg14
Nsg15
VFALSE
p59130
sbNNNg8
(g9
g10
NtRp59131
(dp59132
g13
Nsg14
Nsg15
VFALSE
p59133
sbNNg8
(g9
g10
NtRp59134
(dp59135
g13
Nsg14
Nsg15
VFALSE
p59136
sbNNg8
(g9
g10
NtRp59137
(dp59138
g13
Nsg14
Nsg15
VFALSE
p59139
sbNg8
(g9
g10
NtRp59140
(dp59141
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af565a00-fbd9-4fc4-a6f1-c942238b124e.png
p59142
sbg8
(g9
g10
NtRp59143
(dp59144
g13
Nsg14
Nsg15
VEPSG:3035
p59145
sbg8
(g9
g10
NtRp59146
(dp59147
g13
Nsg14
Nsg15
V2019-06-04
p59148
sbNg8
(g9
g10
NtRp59149
(dp59150
g13
Nsg14
Nsg15
VLand cover
p59151
sbg8
(g9
g10
NtRp59152
(dp59153
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p59154
sbg8
(g9
g10
NtRp59155
(dp59156
g13
Nsg14
Nsg15
Vgrid
p59157
sbg8
(g9
g10
NtRp59158
(dp59159
g13
Nsg14
Nsg15
VGTiff
p59160
sbNg8
(g9
g10
NtRp59161
(dp59162
g13
Nsg14
Nsg15
V20m
p59163
sbNg8
(g9
g10
NtRp59164
(dp59165
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.
p59166
sbg8
(g9
g10
NtRp59167
(dp59168
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af565a00-fbd9-4fc4-a6f1-c942238b124e
p59169
sbg8
(g9
g10
NtRp59170
(dp59171
g13
Nsg14
g74
sg15
V2006
p59172
sbg8
(g9
g10
NtRp59173
(dp59174
g13
Nsg14
g74
sg15
V2006
p59175
sbg8
(g9
g10
NtRp59176
(dp59177
g13
Nsg14
Nsg15
VFALSE
p59178
sbNg8
(g9
g10
NtRp59179
(dp59180
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p59181
sbg8
(g9
g10
NtRp59182
(dp59183
g13
Nsg14
Nsg15
VFALSE
p59184
sbNg8
(g9
g10
NtRp59185
(dp59186
g13
Nsg14
Nsg15
VFALSE
p59187
sbNNNNNNNg8
(g9
g10
NtRp59188
(dp59189
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp59190
(dp59191
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp59192
(dp59193
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_revised-soil-sealing-built-up-mask_2006
p59194
sbNg8
(g9
g10
NtRp59195
(dp59196
g13
Nsg14
Nsg15
Vobsolete
p59197
sbtp59198
a(g8
(g9
g10
NtRp59199
(dp59200
g13
Nsg14
Nsg15
V2b830f7a-af1a-48d2-a066-67d1958f9773
p59201
sbNg8
(g9
g10
NtRp59202
(dp59203
g13
Nsg14
Nsg15
VImperviousness 2009, 100m degrees of imperviousness metadata - Jan. 2013
p59204
sbNNNNNg8
(g9
g10
NtRp59205
(dp59206
g13
Nsg14
Nsg15
VRaster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution.\u000a\u000aClasses:\u000a0: Outside area\u000a1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window
p59207
sbNNg8
(g9
g10
NtRp59208
(dp59209
g13
Nsg14
Nsg15
VFALSE
p59210
sbNNNg8
(g9
g10
NtRp59211
(dp59212
g13
Nsg14
Nsg15
VFALSE
p59213
sbNNg8
(g9
g10
NtRp59214
(dp59215
g13
Nsg14
Nsg15
VFALSE
p59216
sbNNg8
(g9
g10
NtRp59217
(dp59218
g13
Nsg14
Nsg15
VFALSE
p59219
sbNg8
(g9
g10
NtRp59220
(dp59221
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b830f7a-af1a-48d2-a066-67d1958f9773.png
p59222
sbg8
(g9
g10
NtRp59223
(dp59224
g13
Nsg14
Nsg15
VEPSG:3035
p59225
sbg8
(g9
g10
NtRp59226
(dp59227
g13
Nsg14
Nsg15
V2019-06-04
p59228
sbNg8
(g9
g10
NtRp59229
(dp59230
g13
Nsg14
Nsg15
VLand cover
p59231
sbg8
(g9
g10
NtRp59232
(dp59233
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p59234
sbg8
(g9
g10
NtRp59235
(dp59236
g13
Nsg14
Nsg15
Vgrid
p59237
sbg8
(g9
g10
NtRp59238
(dp59239
g13
Nsg14
Nsg15
VGTiff
p59240
sbNg8
(g9
g10
NtRp59241
(dp59242
g13
Nsg14
Nsg15
V100m
p59243
sbNg8
(g9
g10
NtRp59244
(dp59245
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.
p59246
sbg8
(g9
g10
NtRp59247
(dp59248
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b830f7a-af1a-48d2-a066-67d1958f9773
p59249
sbg8
(g9
g10
NtRp59250
(dp59251
g13
Nsg14
g74
sg15
V2009
p59252
sbg8
(g9
g10
NtRp59253
(dp59254
g13
Nsg14
g74
sg15
V2009
p59255
sbg8
(g9
g10
NtRp59256
(dp59257
g13
Nsg14
Nsg15
VFALSE
p59258
sbNg8
(g9
g10
NtRp59259
(dp59260
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p59261
sbg8
(g9
g10
NtRp59262
(dp59263
g13
Nsg14
Nsg15
VFALSE
p59264
sbNg8
(g9
g10
NtRp59265
(dp59266
g13
Nsg14
Nsg15
VFALSE
p59267
sbNNNNNNNg8
(g9
g10
NtRp59268
(dp59269
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp59270
(dp59271
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp59272
(dp59273
g13
Nsg14
Nsg15
Vgeoland2_r_3035_100_m_imperviousness-degrees-metadata_2009
p59274
sbNg8
(g9
g10
NtRp59275
(dp59276
g13
Nsg14
Nsg15
Vobsolete
p59277
sbtp59278
a(g8
(g9
g10
NtRp59279
(dp59280
g13
Nsg14
Nsg15
V34ad8f74-1670-4172-88bf-e8dd6753fc6f
p59281
sbNg8
(g9
g10
NtRp59282
(dp59283
g13
Nsg14
Nsg15
VImperviousness changes 2006-2009, built-up changes 20m - Jan. 2013
p59284
sbNNNNNg8
(g9
g10
NtRp59285
(dp59286
g13
Nsg14
Nsg15
VBuilt-up changes (built-up area is area with degree of imperviousness between 1 and 100%)\u000a\u000aClasses:\u000a0:	Area outside of WR (Working Region)\u000a1:	Built-up increase 06-09 ('true' change derived by modelling)\u000a2:	Built-up 06 - built-up 09 (no change)\u000a3:	Built-up decrease 06-09 ('true' change derived by modelling) \u000a4:	Built-up 06 - clouds 09 (no update possible)\u000a5:	Non built-up 06 - clouds09 (no update possible)\u000a6:	Built-up 09 - clouds 06 (only status information 2009)\u000a7:	Non built-up 09 - clouds06 (only status information 2009)\u000a8:	Clouds 2006 - clouds 2009 (no information available)\u000a9:	Non built-up 06 - non built-up 09 (no change)
p59287
sbNNg8
(g9
g10
NtRp59288
(dp59289
g13
Nsg14
Nsg15
VFALSE
p59290
sbNNNg8
(g9
g10
NtRp59291
(dp59292
g13
Nsg14
Nsg15
VFALSE
p59293
sbNNg8
(g9
g10
NtRp59294
(dp59295
g13
Nsg14
Nsg15
VFALSE
p59296
sbNNg8
(g9
g10
NtRp59297
(dp59298
g13
Nsg14
Nsg15
VFALSE
p59299
sbNg8
(g9
g10
NtRp59300
(dp59301
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/34ad8f74-1670-4172-88bf-e8dd6753fc6f.png
p59302
sbg8
(g9
g10
NtRp59303
(dp59304
g13
Nsg14
Nsg15
VEPSG:3035
p59305
sbg8
(g9
g10
NtRp59306
(dp59307
g13
Nsg14
Nsg15
V2019-06-04
p59308
sbNg8
(g9
g10
NtRp59309
(dp59310
g13
Nsg14
Nsg15
VLand cover
p59311
sbg8
(g9
g10
NtRp59312
(dp59313
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p59314
sbg8
(g9
g10
NtRp59315
(dp59316
g13
Nsg14
Nsg15
Vgrid
p59317
sbg8
(g9
g10
NtRp59318
(dp59319
g13
Nsg14
Nsg15
VGTiff
p59320
sbNg8
(g9
g10
NtRp59321
(dp59322
g13
Nsg14
Nsg15
V20m
p59323
sbNg8
(g9
g10
NtRp59324
(dp59325
g13
Nsg14
Nsg15
VNot available.
p59326
sbg8
(g9
g10
NtRp59327
(dp59328
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34ad8f74-1670-4172-88bf-e8dd6753fc6f
p59329
sbg8
(g9
g10
NtRp59330
(dp59331
g13
Nsg14
g74
sg15
V2006
p59332
sbg8
(g9
g10
NtRp59333
(dp59334
g13
Nsg14
g74
sg15
V2009
p59335
sbg8
(g9
g10
NtRp59336
(dp59337
g13
Nsg14
Nsg15
VTRUE
p59338
sbNg8
(g9
g10
NtRp59339
(dp59340
g13
Nsg14
Nsg15
VThis dataset is available only for use by EEA and its contractors. No further dissemination is allowed.
p59341
sbg8
(g9
g10
NtRp59342
(dp59343
g13
Nsg14
Nsg15
VFALSE
p59344
sbNg8
(g9
g10
NtRp59345
(dp59346
g13
Nsg14
Nsg15
VFALSE
p59347
sbNNNNNNNg8
(g9
g10
NtRp59348
(dp59349
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp59350
(dp59351
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp59352
(dp59353
g13
Nsg14
Nsg15
Vgeoland2_r_3035_20_m_built-up-changes_2006-2009
p59354
sbNg8
(g9
g10
NtRp59355
(dp59356
g13
Nsg14
Nsg15
Vobsolete
p59357
sbtp59358
a(g8
(g9
g10
NtRp59359
(dp59360
g13
Nsg14
Nsg15
Vd58753d5-4833-4720-8fec-88420994d2fc
p59361
sbNg8
(g9
g10
NtRp59362
(dp59363
g13
Nsg14
Nsg15
VImperviousness 2009, built-up mask 100m - Jan. 2013
p59364
sbNNNNNg8
(g9
g10
NtRp59365
(dp59366
g13
Nsg14
Nsg15
VThe built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product.\u000aThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\u000a\u000aClasses:\u000a0:	Area outside of WR\u000a1:	Discontinuous Built-up 2009 - Sealing Levels 1-79%\u000a2:	Continuous Built-up 2009 - Sealing Levels 80-100%\u000a3:	Non built-up 2009\u000a4:	Clouds 09 (excluding built-up 06 within clouds 09)
p59367
sbNNg8
(g9
g10
NtRp59368
(dp59369
g13
Nsg14
Nsg15
VFALSE
p59370
sbNNNg8
(g9
g10
NtRp59371
(dp59372
g13
Nsg14
Nsg15
VFALSE
p59373
sbNNg8
(g9
g10
NtRp59374
(dp59375
g13
Nsg14
Nsg15
VFALSE
p59376
sbNNg8
(g9
g10
NtRp59377
(dp59378
g13
Nsg14
Nsg15
VFALSE
p59379
sbNg8
(g9
g10
NtRp59380
(dp59381
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d58753d5-4833-4720-8fec-88420994d2fc.png
p59382
sbg8
(g9
g10
NtRp59383
(dp59384
g13
Nsg14
Nsg15
VEPSG:3035
p59385
sbg8
(g9
g10
NtRp59386
(dp59387
g13
Nsg14
Nsg15
V2019-06-04
p59388
sbNg8
(g9
g10
NtRp59389
(dp59390
g13
Nsg14
Nsg15
VLand cover
p59391
sbg8
(g9
g10
NtRp59392
(dp59393
g13
Nsg14
Nsg15
Vbuilt environment|sealing|soil surface sealing
p59394
sbg8
(g9
g10
NtRp59395
(dp59396
g13
Nsg14
Nsg15
Vgrid
p59397
sbg8
(g9
g10
NtRp59398
(dp59399
g13
Nsg14
Nsg15
VGTiff
p59400
sbNg8
(g9
g10
NtRp59401
(dp59402
g13
Nsg14
Nsg15
V100m
p59403
sbNg8
(g9
g10
NtRp59404
(dp59405
g13
Nsg14
Nsg15
VRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.
p59406
sbg8
(g9
g10
NtRp59407
(dp59408
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d58753d5-4833-4720-8fec-88420994d2fc
p59409
sbg8
(g9
g10
NtRp59410
(dp59411
g13
Nsg14
g74
sg15
V2009
p59412
sbg8
(g9
g10
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VWater Framework Directive (WFD) Article 3 river basin districts (RBDs) v1.3. Definition in WFD: River basin district means the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. MS did not consistently include coastal waters in the RBD deliveries. Geographical coverage: EU Member States + Norway + Switzerland + neighbouring, international RBDs in non-EU Member States (derived from CCM1 catchments, JRC). The feature layer can be divided into four groupings by the following queries (in ArcGIS: copy and paste the query into the 'Definition Query' window in the layer properties): EU Member State RBDs: [EU_MS] = 'Y'; non-EU Member State RBDs: [EU_MS] = 'N' AND [intCode] = ''; EU Member State international RBDs: [INTERNATIONAL] = 'Y' AND [EU_MS] = 'Y'; Non-EU Member State international RBDs: [EU_MS] = 'N' AND [INTERNATIONAL] = 'Y'.
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VThe European feature layer was originally created from country submissions under WFD, Art. 3, by JRC. Member States were asked to deliver data preferably at scale 1:250 000 but scale 1:1 000 000 were accepted. The European feature layer was further processed by WRc: 'Districts.shp' was downloaded from the JRC WISE website on June 2007 using the Synchronise Shape Files function. The European dataset were border harmonised using EuroGlobalMap 1:1 000 000 boundaries. The resulting dataset is considered as 1:1 000 000, even if individual RBDs may be much more detailed. The dataset was processed so the four RBD groupings (EU Member State/non-EU Member State, international/non-international) can be identified, see Abstract. The feature layers was handed over to EEA December 2007.\u000aCHANGES:Changes done at EEA in Jan-Feb 2008, version F1v0: The four feature layers (the four RBD groupings) from WRc were merged into one single feature layer to ensure geometrical consistency between the layers. Updates of Norwegian and Swedish RBDs. Geometry was corrected (gaps and overlaps removed). New attributes was appended. Changes from F1v0 to F1v1: Only changes in the attributes because of requirements in the WISE viewer. The 'ID' field was re-introduced. Corrections in 'MSCD_RBD' field. Changes from F1v1 to F1v2: Corrections in 'MSCD_RBD' field and corrections of Elbe and Odra geometries. Changes from F1v2 to F1v3: Updates of Spanish and Bulgarian RBDs. Corrections in 'MSCD_RBD' field so data reported under Art. 3 and Art. 8 are identical. 'RBD_HYCODE' populated for non-EU Member States international RBDs.\u000aProcess steps:Description:\u000a 1. Removing overlaps (ESRI Topology extension, default cluster tolerance 0.001m) \u000aResource name:\u000a msDistricts and NonEUmsDistricts \u000aResource date:\u000a 20071219 \u000a\u000a \u000aDescription:\u000a a. Rule applied: Must Not Overlap \u000a\u000a \u000aDescription:\u000a b. Subtract overlaps with the Fix Topology tool . \u000a\u000a \u000aDescription:\u000a 2. Removing gaps. (tools Union and Eliminate, default cluster tolerance 0.001m) \u000a\u000a \u000aDescription:\u000a a. Union with no gaps allowed.  \u000a\u000a \u000aDescription:\u000a b. Select ID = '-1' and Eliminate \u000a\u000a \u000aDescription:\u000a c. Re-calculate geometry \u000a\u000a \u000aDescription:\u000a 3. Append new attributes \u000aResource name:\u000a Attributes made by Gabriela Vincze (Umweltsbundesamt, Vienna) \u000aResource date:\u000a 20080206 \u000a\u000a \u000aDescription:\u000a a. OBJECTID: ID \u000a\u000a \u000aDescription:\u000a b. NAME: Name of RBD (native language) \u000a\u000a \u000aDescription:\u000a c. LGE_ID: Language ID \u000a\u000a \u000aDescription:\u000a d. CTY_ID: Code for the country the part of the river basin dirtrict is lying in \u000a\u000a \u000aDescription:\u000a e. NAME_ENGL: Name of RBD (english) \u000a\u000a \u000aDescription:\u000a f. AREAKM2: Area calculated in ArcGIS in square kilometers  \u000a\u000a \u000aDescription:\u000a g. EUCD_RBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and international RBDs (without country codes)  \u000a\u000a \u000aDescription:\u000a h. EUCD_NATRBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and national pars of international RBDs (including the country code) \u000a\u000a \u000aDescription:\u000a i. MSCD_RBD: Unique RBD code submitted by MS via WFD Art. 3 reporting, national RBD code. This field is essential to the WISE viewer. \u000a\u000a \u000aDescription:\u000a j. intCode: RBD codes for non EU countries  \u000a\u000a \u000aDescription:\u000a k. HYD_SYST_OCEANS: Name of the Hydrosystem (Oceans) \u000a\u000a \u000aDescription:\u000a l. HYD_SYST_SEA: Name of the Seas  \u000a\u000a \u000aDescription:\u000a m. ISLANDS: Islands  \u000a\u000a \u000aDescription:\u000a n. RBD HYCODE: Hydrological code of the RBDs (without country code; national RBDs and international RBDs)  \u000a\u000a \u000aDescription:\u000a o. natRBD HYCODE: Hydrological code of the national RBDs  \u000a\u000a \u000aDescription:\u000a p. SEA: Code of the hydrosystem and the sea  \u000a\u000a \u000aDescription:\u000a q. INTERNATIONAL: Identification of national and international RBDs  \u000a\u000a \u000aDescription:\u000a r. EU_MS: Identification if the country is EU member or not  \u000a\u000a \u000aDescription:\u000a s. UPDATE_WHEN: Date of the update of the dataset by MS  \u000a\u000a \u000aDescription:\u000a t. UPDATE_BY: Code of the MS/Person who updated the data  \u000a\u000a \u000aDescription:\u000a v. META_ID: Link to metadata  \u000a\u000a \u000aDescription:\u000a w. INS_WHEN: Moment of the insertion in the database  \u000a\u000a \u000aDescription:\u000a x. INS_BY: Acronym of the operator  \u000a\u000a \u000aDescription:\u000a y. ID: ID essential to WISE viewer \u000a\u000a \u000aDescription:\u000a z. Shape_Leng: Calculated length \u000a\u000a \u000aDescription:\u000a aa. Shape_Area: Calculated area
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\u000aEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\u000aMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\u000aIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\u000aSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\u000aV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\u000aV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\u000aV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\u000aV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\u000aV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\u000aV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling
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VWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
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VCLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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VVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges:\u000aVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. 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Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aCHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included
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VCLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.
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Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\u000aChanges:\u000aVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. 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Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \u000a\u000aCHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included
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V06247452-8362-4048-be1e-466ceeaeed78
p61260
sbNg8
(g9
g10
NtRp61261
(dp61262
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Nsg14
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VEGM EuroGlobalMap Coastlines v2.2
p61263
sbNNNNNg8
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NtRp61264
(dp61265
g13
Nsg14
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VEuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands,  Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location.\u000aThis metadata only refers to the coastline from EuroGlobalMap.
p61266
sbNNg8
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NtRp61267
(dp61268
g13
Nsg14
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VFALSE
p61269
sbNNNg8
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NtRp61270
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VFALSE
p61272
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(g9
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Nsg14
Nsg15
VFALSE
p61275
sbNNg8
(g9
g10
NtRp61276
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g13
Nsg14
Nsg15
VFALSE
p61278
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NtRp61279
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Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/06247452-8362-4048-be1e-466ceeaeed78.png
p61281
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VEPSG:4326
p61284
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(dp61286
g13
Nsg14
Nsg15
V2019-06-04
p61287
sbNg8
(g9
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NtRp61288
(dp61289
g13
Nsg14
Nsg15
VElevation
p61290
sbNg8
(g9
g10
NtRp61291
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g13
Nsg14
Nsg15
Vvector
p61293
sbg8
(g9
g10
NtRp61294
(dp61295
g13
Nsg14
Nsg15
VSHP
p61296
sbNg8
(g9
g10
NtRp61297
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V1:1000000
p61299
sbNg8
(g9
g10
NtRp61300
(dp61301
g13
Nsg14
Nsg15
VThe creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries.\u000aProcess steps:\u000aEach data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.
p61302
sbg8
(g9
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NtRp61303
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g13
Nsg14
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06247452-8362-4048-be1e-466ceeaeed78
p61305
sbNNg8
(g9
g10
NtRp61306
(dp61307
g13
Nsg14
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VFALSE
p61308
sbNg8
(g9
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NtRp61309
(dp61310
g13
Nsg14
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VLicense
p61311
sbg8
(g9
g10
NtRp61312
(dp61313
g13
Nsg14
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VFALSE
p61314
sbNg8
(g9
g10
NtRp61315
(dp61316
g13
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Nsg15
VFALSE
p61317
sbNNNNNNNg8
(g9
g10
NtRp61318
(dp61319
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61320
(dp61321
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61322
(dp61323
g13
Nsg14
Nsg15
Veurogeographics_v_4326_1_mio_egm-coastline_2006_rev22
p61324
sbNg8
(g9
g10
NtRp61325
(dp61326
g13
Nsg14
Nsg15
Vobsolete
p61327
sbtp61328
a(g8
(g9
g10
NtRp61329
(dp61330
g13
Nsg14
Nsg15
V8bb89ffa-9b55-4e23-99eb-d9164f388aff
p61331
sbNg8
(g9
g10
NtRp61332
(dp61333
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 4.0, Jan. 2009
p61334
sbNNNNNg8
(g9
g10
NtRp61335
(dp61336
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\u000aFeature catalogue:\u000aa) Administrative units (Area controlled by an administrative unit [EBM_A])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v40_Specification.pdf
p61337
sbNNg8
(g9
g10
NtRp61338
(dp61339
g13
Nsg14
Nsg15
VFALSE
p61340
sbNNNg8
(g9
g10
NtRp61341
(dp61342
g13
Nsg14
Nsg15
VFALSE
p61343
sbNNg8
(g9
g10
NtRp61344
(dp61345
g13
Nsg14
Nsg15
VFALSE
p61346
sbNNg8
(g9
g10
NtRp61347
(dp61348
g13
Nsg14
Nsg15
VFALSE
p61349
sbNg8
(g9
g10
NtRp61350
(dp61351
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bb89ffa-9b55-4e23-99eb-d9164f388aff.png
p61352
sbg8
(g9
g10
NtRp61353
(dp61354
g13
Nsg14
Nsg15
VEPSG:4326
p61355
sbg8
(g9
g10
NtRp61356
(dp61357
g13
Nsg14
Nsg15
V2019-06-04
p61358
sbNg8
(g9
g10
NtRp61359
(dp61360
g13
Nsg14
Nsg15
VAdministrative units
p61361
sbNg8
(g9
g10
NtRp61362
(dp61363
g13
Nsg14
Nsg15
Vvector
p61364
sbg8
(g9
g10
NtRp61365
(dp61366
g13
Nsg14
Nsg15
VFGeo|SHP
p61367
sbNg8
(g9
g10
NtRp61368
(dp61369
g13
Nsg14
Nsg15
V1:100000
p61370
sbNg8
(g9
g10
NtRp61371
(dp61372
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000a\u000asee national lineage file\u000a\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000a\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61373
sbg8
(g9
g10
NtRp61374
(dp61375
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bb89ffa-9b55-4e23-99eb-d9164f388aff
p61376
sbNNg8
(g9
g10
NtRp61377
(dp61378
g13
Nsg14
Nsg15
VFALSE
p61379
sbNg8
(g9
g10
NtRp61380
(dp61381
g13
Nsg14
Nsg15
VLicense
p61382
sbg8
(g9
g10
NtRp61383
(dp61384
g13
Nsg14
Nsg15
VFALSE
p61385
sbNg8
(g9
g10
NtRp61386
(dp61387
g13
Nsg14
Nsg15
VFALSE
p61388
sbNNNNNNNg8
(g9
g10
NtRp61389
(dp61390
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61391
(dp61392
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61393
(dp61394
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-europe_i_2008_v04_r00
p61395
sbNg8
(g9
g10
NtRp61396
(dp61397
g13
Nsg14
Nsg15
Vsuperseded
p61398
sbtp61399
a(g8
(g9
g10
NtRp61400
(dp61401
g13
Nsg14
Nsg15
Vd776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba
p61402
sbNg8
(g9
g10
NtRp61403
(dp61404
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 6.0, Apr. 2012
p61405
sbNNNNNg8
(g9
g10
NtRp61406
(dp61407
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v6.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\u000aFeature catalogue:\u000aa) Administrative units (Area controlled by an administrative authority [EBM_A])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EBM_v60_Specification.pdf
p61408
sbNNg8
(g9
g10
NtRp61409
(dp61410
g13
Nsg14
Nsg15
VFALSE
p61411
sbNNNg8
(g9
g10
NtRp61412
(dp61413
g13
Nsg14
Nsg15
VFALSE
p61414
sbNNg8
(g9
g10
NtRp61415
(dp61416
g13
Nsg14
Nsg15
VFALSE
p61417
sbNNg8
(g9
g10
NtRp61418
(dp61419
g13
Nsg14
Nsg15
VFALSE
p61420
sbNg8
(g9
g10
NtRp61421
(dp61422
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png
p61423
sbg8
(g9
g10
NtRp61424
(dp61425
g13
Nsg14
Nsg15
VEPSG:4326
p61426
sbg8
(g9
g10
NtRp61427
(dp61428
g13
Nsg14
Nsg15
V2019-06-04
p61429
sbNg8
(g9
g10
NtRp61430
(dp61431
g13
Nsg14
Nsg15
VAdministrative units
p61432
sbNg8
(g9
g10
NtRp61433
(dp61434
g13
Nsg14
Nsg15
Vvector
p61435
sbg8
(g9
g10
NtRp61436
(dp61437
g13
Nsg14
Nsg15
VFGeo|SHP
p61438
sbNg8
(g9
g10
NtRp61439
(dp61440
g13
Nsg14
Nsg15
V1:100000
p61441
sbNg8
(g9
g10
NtRp61442
(dp61443
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000a\u000asee national lineage file\u000a\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000a\u000aAll data were consistently captured using the rules described in the specification (see national metadata files).
p61444
sbg8
(g9
g10
NtRp61445
(dp61446
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba
p61447
sbNNg8
(g9
g10
NtRp61448
(dp61449
g13
Nsg14
Nsg15
VFALSE
p61450
sbNg8
(g9
g10
NtRp61451
(dp61452
g13
Nsg14
Nsg15
VLicense
p61453
sbg8
(g9
g10
NtRp61454
(dp61455
g13
Nsg14
Nsg15
VFALSE
p61456
sbNg8
(g9
g10
NtRp61457
(dp61458
g13
Nsg14
Nsg15
VFALSE
p61459
sbNNNNNNNg8
(g9
g10
NtRp61460
(dp61461
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61462
(dp61463
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61464
(dp61465
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-europe_i_2011_v06_r00
p61466
sbNg8
(g9
g10
NtRp61467
(dp61468
g13
Nsg14
Nsg15
Vsuperseded
p61469
sbtp61470
a(g8
(g9
g10
NtRp61471
(dp61472
g13
Nsg14
Nsg15
Vba91d1ee-10c8-4d72-a31b-20caa3504390
p61473
sbNg8
(g9
g10
NtRp61474
(dp61475
g13
Nsg14
Nsg15
VEuroBoundaryMap (individual countries) - version 3.0, Jan. 2008
p61476
sbNNNNNg8
(g9
g10
NtRp61477
(dp61478
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes.\u000aa) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P  where XX is a country code])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L  where XX is a country code])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v30_Specification.pdf
p61479
sbNNg8
(g9
g10
NtRp61480
(dp61481
g13
Nsg14
Nsg15
VFALSE
p61482
sbNNNg8
(g9
g10
NtRp61483
(dp61484
g13
Nsg14
Nsg15
VFALSE
p61485
sbNNg8
(g9
g10
NtRp61486
(dp61487
g13
Nsg14
Nsg15
VFALSE
p61488
sbNNg8
(g9
g10
NtRp61489
(dp61490
g13
Nsg14
Nsg15
VFALSE
p61491
sbNg8
(g9
g10
NtRp61492
(dp61493
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba91d1ee-10c8-4d72-a31b-20caa3504390.png
p61494
sbg8
(g9
g10
NtRp61495
(dp61496
g13
Nsg14
Nsg15
VEPSG:4326
p61497
sbg8
(g9
g10
NtRp61498
(dp61499
g13
Nsg14
Nsg15
V2019-06-04
p61500
sbNg8
(g9
g10
NtRp61501
(dp61502
g13
Nsg14
Nsg15
VAdministrative units
p61503
sbNg8
(g9
g10
NtRp61504
(dp61505
g13
Nsg14
Nsg15
Vvector
p61506
sbg8
(g9
g10
NtRp61507
(dp61508
g13
Nsg14
Nsg15
VFGeo|PGeo|SHP
p61509
sbNg8
(g9
g10
NtRp61510
(dp61511
g13
Nsg14
Nsg15
V1:100000
p61512
sbNg8
(g9
g10
NtRp61513
(dp61514
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000aSee national lineage files\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61515
sbg8
(g9
g10
NtRp61516
(dp61517
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba91d1ee-10c8-4d72-a31b-20caa3504390
p61518
sbNNg8
(g9
g10
NtRp61519
(dp61520
g13
Nsg14
Nsg15
VFALSE
p61521
sbNg8
(g9
g10
NtRp61522
(dp61523
g13
Nsg14
Nsg15
VLicense
p61524
sbg8
(g9
g10
NtRp61525
(dp61526
g13
Nsg14
Nsg15
VFALSE
p61527
sbNg8
(g9
g10
NtRp61528
(dp61529
g13
Nsg14
Nsg15
VFALSE
p61530
sbNNNNNNNg8
(g9
g10
NtRp61531
(dp61532
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61533
(dp61534
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61535
(dp61536
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-countries_i_2007_v03_r00
p61537
sbNg8
(g9
g10
NtRp61538
(dp61539
g13
Nsg14
Nsg15
Vsuperseded
p61540
sbtp61541
a(g8
(g9
g10
NtRp61542
(dp61543
g13
Nsg14
Nsg15
V8cee3968-f302-48cc-a886-3f7d6ac36a7d
p61544
sbNg8
(g9
g10
NtRp61545
(dp61546
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011
p61547
sbNNNNNg8
(g9
g10
NtRp61548
(dp61549
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\u000aFeature catalogue:\u000aa) Administrative units (Area controlled by an administrative authority [EBM_A])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v50_Specification.pdf
p61550
sbNNg8
(g9
g10
NtRp61551
(dp61552
g13
Nsg14
Nsg15
VFALSE
p61553
sbNNNg8
(g9
g10
NtRp61554
(dp61555
g13
Nsg14
Nsg15
VFALSE
p61556
sbNNg8
(g9
g10
NtRp61557
(dp61558
g13
Nsg14
Nsg15
VFALSE
p61559
sbNNg8
(g9
g10
NtRp61560
(dp61561
g13
Nsg14
Nsg15
VFALSE
p61562
sbNg8
(g9
g10
NtRp61563
(dp61564
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png
p61565
sbg8
(g9
g10
NtRp61566
(dp61567
g13
Nsg14
Nsg15
VEPSG:4326
p61568
sbg8
(g9
g10
NtRp61569
(dp61570
g13
Nsg14
Nsg15
V2019-06-04
p61571
sbNg8
(g9
g10
NtRp61572
(dp61573
g13
Nsg14
Nsg15
VAdministrative units
p61574
sbNg8
(g9
g10
NtRp61575
(dp61576
g13
Nsg14
Nsg15
Vvector
p61577
sbg8
(g9
g10
NtRp61578
(dp61579
g13
Nsg14
Nsg15
VFGeo|SHP
p61580
sbNg8
(g9
g10
NtRp61581
(dp61582
g13
Nsg14
Nsg15
V1:100000
p61583
sbNg8
(g9
g10
NtRp61584
(dp61585
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000a\u000asee national lineage file\u000a\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000a\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61586
sbg8
(g9
g10
NtRp61587
(dp61588
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8cee3968-f302-48cc-a886-3f7d6ac36a7d
p61589
sbNNg8
(g9
g10
NtRp61590
(dp61591
g13
Nsg14
Nsg15
VFALSE
p61592
sbNg8
(g9
g10
NtRp61593
(dp61594
g13
Nsg14
Nsg15
VLicense
p61595
sbg8
(g9
g10
NtRp61596
(dp61597
g13
Nsg14
Nsg15
VFALSE
p61598
sbNg8
(g9
g10
NtRp61599
(dp61600
g13
Nsg14
Nsg15
VFALSE
p61601
sbNNNNNNNg8
(g9
g10
NtRp61602
(dp61603
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61604
(dp61605
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61606
(dp61607
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-europe_i_2010_v05_r00
p61608
sbNg8
(g9
g10
NtRp61609
(dp61610
g13
Nsg14
Nsg15
Vsuperseded
p61611
sbtp61612
a(g8
(g9
g10
NtRp61613
(dp61614
g13
Nsg14
Nsg15
Vfdb7acc4-fae1-4990-9409-a8dfe22176ae
p61615
sbNg8
(g9
g10
NtRp61616
(dp61617
g13
Nsg14
Nsg15
VEuroBoundaryMap (individual countries) - version 5.0, Jan. 2011
p61618
sbNNNNNg8
(g9
g10
NtRp61619
(dp61620
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\u000aFeature catalogue:\u000aa) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P  where XX is a country code])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L  where XX is a country code])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v50_Specification.pdf
p61621
sbNNg8
(g9
g10
NtRp61622
(dp61623
g13
Nsg14
Nsg15
VFALSE
p61624
sbNNNg8
(g9
g10
NtRp61625
(dp61626
g13
Nsg14
Nsg15
VFALSE
p61627
sbNNg8
(g9
g10
NtRp61628
(dp61629
g13
Nsg14
Nsg15
VFALSE
p61630
sbNNg8
(g9
g10
NtRp61631
(dp61632
g13
Nsg14
Nsg15
VFALSE
p61633
sbNg8
(g9
g10
NtRp61634
(dp61635
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fdb7acc4-fae1-4990-9409-a8dfe22176ae.png
p61636
sbg8
(g9
g10
NtRp61637
(dp61638
g13
Nsg14
Nsg15
VEPSG:4326
p61639
sbg8
(g9
g10
NtRp61640
(dp61641
g13
Nsg14
Nsg15
V2019-06-04
p61642
sbNg8
(g9
g10
NtRp61643
(dp61644
g13
Nsg14
Nsg15
VAdministrative units
p61645
sbNg8
(g9
g10
NtRp61646
(dp61647
g13
Nsg14
Nsg15
Vvector
p61648
sbg8
(g9
g10
NtRp61649
(dp61650
g13
Nsg14
Nsg15
VFGeo|SHP
p61651
sbNg8
(g9
g10
NtRp61652
(dp61653
g13
Nsg14
Nsg15
V1:100000
p61654
sbNg8
(g9
g10
NtRp61655
(dp61656
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000a\u000asee national lineage file\u000a\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000a\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61657
sbg8
(g9
g10
NtRp61658
(dp61659
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fdb7acc4-fae1-4990-9409-a8dfe22176ae
p61660
sbNNg8
(g9
g10
NtRp61661
(dp61662
g13
Nsg14
Nsg15
VFALSE
p61663
sbNg8
(g9
g10
NtRp61664
(dp61665
g13
Nsg14
Nsg15
VLicense
p61666
sbg8
(g9
g10
NtRp61667
(dp61668
g13
Nsg14
Nsg15
VFALSE
p61669
sbNg8
(g9
g10
NtRp61670
(dp61671
g13
Nsg14
Nsg15
VFALSE
p61672
sbNNNNNNNg8
(g9
g10
NtRp61673
(dp61674
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61675
(dp61676
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61677
(dp61678
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-countries_i_2010_v05_r00
p61679
sbNg8
(g9
g10
NtRp61680
(dp61681
g13
Nsg14
Nsg15
Vsuperseded
p61682
sbtp61683
a(g8
(g9
g10
NtRp61684
(dp61685
g13
Nsg14
Nsg15
V9b32607e-c99c-4050-a9e1-2113cf92e07e
p61686
sbNg8
(g9
g10
NtRp61687
(dp61688
g13
Nsg14
Nsg15
VEuroBoundaryMap (individual countries) - version 4.0, Jan. 2009
p61689
sbNNNNNg8
(g9
g10
NtRp61690
(dp61691
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\u000aFeature catalogue:\u000aa) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P  where XX is a country code])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L  where XX is a country code])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v40_Specification.pdf
p61692
sbNNg8
(g9
g10
NtRp61693
(dp61694
g13
Nsg14
Nsg15
VFALSE
p61695
sbNNNg8
(g9
g10
NtRp61696
(dp61697
g13
Nsg14
Nsg15
VFALSE
p61698
sbNNg8
(g9
g10
NtRp61699
(dp61700
g13
Nsg14
Nsg15
VFALSE
p61701
sbNNg8
(g9
g10
NtRp61702
(dp61703
g13
Nsg14
Nsg15
VFALSE
p61704
sbNg8
(g9
g10
NtRp61705
(dp61706
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9b32607e-c99c-4050-a9e1-2113cf92e07e.png
p61707
sbg8
(g9
g10
NtRp61708
(dp61709
g13
Nsg14
Nsg15
VEPSG:4326
p61710
sbg8
(g9
g10
NtRp61711
(dp61712
g13
Nsg14
Nsg15
V2019-06-04
p61713
sbNg8
(g9
g10
NtRp61714
(dp61715
g13
Nsg14
Nsg15
VAdministrative units
p61716
sbNg8
(g9
g10
NtRp61717
(dp61718
g13
Nsg14
Nsg15
Vvector
p61719
sbg8
(g9
g10
NtRp61720
(dp61721
g13
Nsg14
Nsg15
VFGeo|SHP
p61722
sbNg8
(g9
g10
NtRp61723
(dp61724
g13
Nsg14
Nsg15
V1:100000
p61725
sbNg8
(g9
g10
NtRp61726
(dp61727
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000a\u000asee national lineage file\u000a\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000a\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61728
sbg8
(g9
g10
NtRp61729
(dp61730
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9b32607e-c99c-4050-a9e1-2113cf92e07e
p61731
sbg8
(g9
g10
NtRp61732
(dp61733
g13
Nsg14
g74
sg15
V2008
p61734
sbg8
(g9
g10
NtRp61735
(dp61736
g13
Nsg14
g74
sg15
V2008
p61737
sbg8
(g9
g10
NtRp61738
(dp61739
g13
Nsg14
Nsg15
VFALSE
p61740
sbNg8
(g9
g10
NtRp61741
(dp61742
g13
Nsg14
Nsg15
VLicense
p61743
sbg8
(g9
g10
NtRp61744
(dp61745
g13
Nsg14
Nsg15
VFALSE
p61746
sbNg8
(g9
g10
NtRp61747
(dp61748
g13
Nsg14
Nsg15
VFALSE
p61749
sbNNNNNNNg8
(g9
g10
NtRp61750
(dp61751
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61752
(dp61753
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61754
(dp61755
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-countries_i_2008_v04_r00
p61756
sbNg8
(g9
g10
NtRp61757
(dp61758
g13
Nsg14
Nsg15
Vsuperseded
p61759
sbtp61760
a(g8
(g9
g10
NtRp61761
(dp61762
g13
Nsg14
Nsg15
Vec110dd8-598a-4d6a-8f5a-7027ff111aa8
p61763
sbNg8
(g9
g10
NtRp61764
(dp61765
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 3.0, Jan. 2008
p61766
sbNNNNNg8
(g9
g10
NtRp61767
(dp61768
g13
Nsg14
Nsg15
VEuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes.\u000aa) Administrative units (Area controlled by an administrative unit [EBM_A])\u000ab) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\u000ac) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\u000ad) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\u000aMore details are available in EuroBoundaryMap_v30_Specification.pdf
p61769
sbNNg8
(g9
g10
NtRp61770
(dp61771
g13
Nsg14
Nsg15
VFALSE
p61772
sbNNNg8
(g9
g10
NtRp61773
(dp61774
g13
Nsg14
Nsg15
VFALSE
p61775
sbNNg8
(g9
g10
NtRp61776
(dp61777
g13
Nsg14
Nsg15
VFALSE
p61778
sbNNg8
(g9
g10
NtRp61779
(dp61780
g13
Nsg14
Nsg15
VFALSE
p61781
sbNg8
(g9
g10
NtRp61782
(dp61783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec110dd8-598a-4d6a-8f5a-7027ff111aa8.png
p61784
sbg8
(g9
g10
NtRp61785
(dp61786
g13
Nsg14
Nsg15
VEPSG:4326
p61787
sbg8
(g9
g10
NtRp61788
(dp61789
g13
Nsg14
Nsg15
V2019-06-04
p61790
sbNg8
(g9
g10
NtRp61791
(dp61792
g13
Nsg14
Nsg15
VAdministrative units
p61793
sbNg8
(g9
g10
NtRp61794
(dp61795
g13
Nsg14
Nsg15
Vvector
p61796
sbg8
(g9
g10
NtRp61797
(dp61798
g13
Nsg14
Nsg15
VFGeo|PGeo|SHP
p61799
sbNg8
(g9
g10
NtRp61800
(dp61801
g13
Nsg14
Nsg15
V1:100000
p61802
sbNg8
(g9
g10
NtRp61803
(dp61804
g13
Nsg14
Nsg15
Vcomplete dataset covering all countries listed in "geographic description" (ISO-ID 348)\u000aSee national lineage files\u000aAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\u000aAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).
p61805
sbg8
(g9
g10
NtRp61806
(dp61807
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec110dd8-598a-4d6a-8f5a-7027ff111aa8
p61808
sbg8
(g9
g10
NtRp61809
(dp61810
g13
Nsg14
g74
sg15
V2007
p61811
sbg8
(g9
g10
NtRp61812
(dp61813
g13
Nsg14
g74
sg15
V2007
p61814
sbg8
(g9
g10
NtRp61815
(dp61816
g13
Nsg14
Nsg15
VFALSE
p61817
sbNg8
(g9
g10
NtRp61818
(dp61819
g13
Nsg14
Nsg15
VLicense
p61820
sbg8
(g9
g10
NtRp61821
(dp61822
g13
Nsg14
Nsg15
VFALSE
p61823
sbNg8
(g9
g10
NtRp61824
(dp61825
g13
Nsg14
Nsg15
VFALSE
p61826
sbNNNNNNNg8
(g9
g10
NtRp61827
(dp61828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61829
(dp61830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61831
(dp61832
g13
Nsg14
Nsg15
Veurogeographics_v_4326_100_k_ebm-europe_i_2007_v03_r00
p61833
sbNg8
(g9
g10
NtRp61834
(dp61835
g13
Nsg14
Nsg15
Vsuperseded
p61836
sbtp61837
a(g8
(g9
g10
NtRp61838
(dp61839
g13
Nsg14
Nsg15
V658f9a54-2820-46b0-9e2c-961f43e38154
p61840
sbNg8
(g9
g10
NtRp61841
(dp61842
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 8.1, Apr. 2014
p61843
sbNNNNNg8
(g9
g10
NtRp61844
(dp61845
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000a\u000aThe product EBM v8.1 is a full update of all countries.\u000a\u000a\u000aFeature catalogue:\u000aa) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\u000ab) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\u000ac) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\u000ad) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\u000ae) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\u000af) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\u000ag) Names of administrative units [EBM_NAM]\u000ah) Designations of administrative hierarchical levels [EBM_ISN]\u000ai) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\u000aj) Languages and character sets (Description of languages used in EBM [EBM_CHR])\u000ak) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\u000a\u000aMore details are available in EBM_v81_Specification.pdf
p61846
sbNNg8
(g9
g10
NtRp61847
(dp61848
g13
Nsg14
Nsg15
VFALSE
p61849
sbNNNg8
(g9
g10
NtRp61850
(dp61851
g13
Nsg14
Nsg15
VFALSE
p61852
sbNNg8
(g9
g10
NtRp61853
(dp61854
g13
Nsg14
Nsg15
VFALSE
p61855
sbNNg8
(g9
g10
NtRp61856
(dp61857
g13
Nsg14
Nsg15
VFALSE
p61858
sbNg8
(g9
g10
NtRp61859
(dp61860
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/658f9a54-2820-46b0-9e2c-961f43e38154.png
p61861
sbNg8
(g9
g10
NtRp61862
(dp61863
g13
Nsg14
Nsg15
V2019-06-04
p61864
sbNg8
(g9
g10
NtRp61865
(dp61866
g13
Nsg14
Nsg15
VAdministrative units
p61867
sbNg8
(g9
g10
NtRp61868
(dp61869
g13
Nsg14
Nsg15
Vvector
p61870
sbg8
(g9
g10
NtRp61871
(dp61872
g13
Nsg14
Nsg15
VFGeo|Fgeo
p61873
sbNg8
(g9
g10
NtRp61874
(dp61875
g13
Nsg14
Nsg15
V1:100000
p61876
sbNg8
(g9
g10
NtRp61877
(dp61878
g13
Nsg14
Nsg15
VPlease refer to the documents EBM_v81_QualityReport.pdf and EBM_v81_Changes.pdf under EuroBoundaryMap_v81/Descriptions_Metadata
p61879
sbg8
(g9
g10
NtRp61880
(dp61881
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/658f9a54-2820-46b0-9e2c-961f43e38154
p61882
sbNNg8
(g9
g10
NtRp61883
(dp61884
g13
Nsg14
Nsg15
VFALSE
p61885
sbNg8
(g9
g10
NtRp61886
(dp61887
g13
Nsg14
Nsg15
VLicense
p61888
sbg8
(g9
g10
NtRp61889
(dp61890
g13
Nsg14
Nsg15
VFALSE
p61891
sbNg8
(g9
g10
NtRp61892
(dp61893
g13
Nsg14
Nsg15
VFALSE
p61894
sbNNNNNNNg8
(g9
g10
NtRp61895
(dp61896
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61897
(dp61898
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61899
(dp61900
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm-europe_i_2013_v08_r01
p61901
sbNg8
(g9
g10
NtRp61902
(dp61903
g13
Nsg14
Nsg15
Vsuperseded
p61904
sbtp61905
a(g8
(g9
g10
NtRp61906
(dp61907
g13
Nsg14
Nsg15
V8c73e988-50a7-4707-a835-a2ad2fcd8c5a
p61908
sbNg8
(g9
g10
NtRp61909
(dp61910
g13
Nsg14
Nsg15
VEuroBoundaryMap - version 9.1, Jun. 2015
p61911
sbNNNNNg8
(g9
g10
NtRp61912
(dp61913
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000a\u000aFeature catalogue:\u000aa) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\u000ab) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\u000ac) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\u000ad) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\u000ae) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\u000af) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\u000ag) Names of administrative units [EBM_NAM]\u000ah) Designations of administrative hierarchical levels [EBM_ISN]\u000ai) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\u000aj) Languages and character sets (Description of languages used in EBM [EBM_CHR])\u000ak) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\u000a\u000aThe product EBM v9.1 is a full update of all countries. More details are available in EBM_v91_Specification.pdf
p61914
sbNNg8
(g9
g10
NtRp61915
(dp61916
g13
Nsg14
Nsg15
VFALSE
p61917
sbNNNg8
(g9
g10
NtRp61918
(dp61919
g13
Nsg14
Nsg15
VFALSE
p61920
sbNNg8
(g9
g10
NtRp61921
(dp61922
g13
Nsg14
Nsg15
VFALSE
p61923
sbNNg8
(g9
g10
NtRp61924
(dp61925
g13
Nsg14
Nsg15
VFALSE
p61926
sbNg8
(g9
g10
NtRp61927
(dp61928
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c73e988-50a7-4707-a835-a2ad2fcd8c5a.png
p61929
sbNg8
(g9
g10
NtRp61930
(dp61931
g13
Nsg14
Nsg15
V2019-06-04
p61932
sbNg8
(g9
g10
NtRp61933
(dp61934
g13
Nsg14
Nsg15
VAdministrative units
p61935
sbNg8
(g9
g10
NtRp61936
(dp61937
g13
Nsg14
Nsg15
Vvector
p61938
sbg8
(g9
g10
NtRp61939
(dp61940
g13
Nsg14
Nsg15
VFGeo
p61941
sbNg8
(g9
g10
NtRp61942
(dp61943
g13
Nsg14
Nsg15
V1:100000
p61944
sbNg8
(g9
g10
NtRp61945
(dp61946
g13
Nsg14
Nsg15
VPlease refer to the documents EBM_v91_QualityReport.pdf and EBM_v91_Changes.pdf under EuroBoundaryMap_v91/Descriptions_Metadata
p61947
sbg8
(g9
g10
NtRp61948
(dp61949
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c73e988-50a7-4707-a835-a2ad2fcd8c5a
p61950
sbNNg8
(g9
g10
NtRp61951
(dp61952
g13
Nsg14
Nsg15
VFALSE
p61953
sbNg8
(g9
g10
NtRp61954
(dp61955
g13
Nsg14
Nsg15
VLicense
p61956
sbg8
(g9
g10
NtRp61957
(dp61958
g13
Nsg14
Nsg15
VFALSE
p61959
sbNg8
(g9
g10
NtRp61960
(dp61961
g13
Nsg14
Nsg15
VFALSE
p61962
sbNNNNNNNg8
(g9
g10
NtRp61963
(dp61964
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp61965
(dp61966
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp61967
(dp61968
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm_i_2014_v09_r01
p61969
sbNg8
(g9
g10
NtRp61970
(dp61971
g13
Nsg14
Nsg15
Vsuperseded
p61972
sbtp61973
a(g8
(g9
g10
NtRp61974
(dp61975
g13
Nsg14
Nsg15
Vf917855c-8fde-44dd-99f1-7849060e1844
p61976
sbNg8
(g9
g10
NtRp61977
(dp61978
g13
Nsg14
Nsg15
VEuroBoundaryMap (full European coverage) - version 7.0, Oct. 2013
p61979
sbNNNNNg8
(g9
g10
NtRp61980
(dp61981
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000aFeature catalogue:\u000aa) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\u000ab) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\u000ac) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\u000ad) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P])\u000ae) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\u000af) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\u000ag) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\u000a\u000aMore details are available in EBM_v70_Specification.pdf
p61982
sbNNg8
(g9
g10
NtRp61983
(dp61984
g13
Nsg14
Nsg15
VFALSE
p61985
sbNNNg8
(g9
g10
NtRp61986
(dp61987
g13
Nsg14
Nsg15
VFALSE
p61988
sbNNg8
(g9
g10
NtRp61989
(dp61990
g13
Nsg14
Nsg15
VFALSE
p61991
sbNNg8
(g9
g10
NtRp61992
(dp61993
g13
Nsg14
Nsg15
VFALSE
p61994
sbNg8
(g9
g10
NtRp61995
(dp61996
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f917855c-8fde-44dd-99f1-7849060e1844.png
p61997
sbNg8
(g9
g10
NtRp61998
(dp61999
g13
Nsg14
Nsg15
V2019-06-04
p62000
sbNg8
(g9
g10
NtRp62001
(dp62002
g13
Nsg14
Nsg15
VAdministrative units
p62003
sbNg8
(g9
g10
NtRp62004
(dp62005
g13
Nsg14
Nsg15
Vvector
p62006
sbg8
(g9
g10
NtRp62007
(dp62008
g13
Nsg14
Nsg15
VFGeo|SHP
p62009
sbNg8
(g9
g10
NtRp62010
(dp62011
g13
Nsg14
Nsg15
V1:100000
p62012
sbNg8
(g9
g10
NtRp62013
(dp62014
g13
Nsg14
Nsg15
VPlease refer to the document EBM_v70_QualityReport.pdf
p62015
sbg8
(g9
g10
NtRp62016
(dp62017
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f917855c-8fde-44dd-99f1-7849060e1844
p62018
sbNNg8
(g9
g10
NtRp62019
(dp62020
g13
Nsg14
Nsg15
VFALSE
p62021
sbNg8
(g9
g10
NtRp62022
(dp62023
g13
Nsg14
Nsg15
VLicense
p62024
sbg8
(g9
g10
NtRp62025
(dp62026
g13
Nsg14
Nsg15
VFALSE
p62027
sbNg8
(g9
g10
NtRp62028
(dp62029
g13
Nsg14
Nsg15
VFALSE
p62030
sbNNNNNNNg8
(g9
g10
NtRp62031
(dp62032
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp62033
(dp62034
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp62035
(dp62036
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm-europe_i_2012_v07_r00
p62037
sbNg8
(g9
g10
NtRp62038
(dp62039
g13
Nsg14
Nsg15
Vsuperseded
p62040
sbtp62041
a(g8
(g9
g10
NtRp62042
(dp62043
g13
Nsg14
Nsg15
V714900b3-ddec-4b41-8bed-b1f93fb2eb8a
p62044
sbNg8
(g9
g10
NtRp62045
(dp62046
g13
Nsg14
Nsg15
VEuroBoundaryMap (individual countries) - version 7.0, Oct. 2013
p62047
sbNNNNNg8
(g9
g10
NtRp62048
(dp62049
g13
Nsg14
Nsg15
VEuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000aFeature catalogue:\u000aa) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\u000ab) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\u000ac) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\u000ad) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P])\u000ae) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\u000af) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\u000ag) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\u000a\u000aMore details are available in EBM_v70_Specification.pdf
p62050
sbNNg8
(g9
g10
NtRp62051
(dp62052
g13
Nsg14
Nsg15
VFALSE
p62053
sbNNNg8
(g9
g10
NtRp62054
(dp62055
g13
Nsg14
Nsg15
VFALSE
p62056
sbNNg8
(g9
g10
NtRp62057
(dp62058
g13
Nsg14
Nsg15
VFALSE
p62059
sbNNg8
(g9
g10
NtRp62060
(dp62061
g13
Nsg14
Nsg15
VFALSE
p62062
sbNg8
(g9
g10
NtRp62063
(dp62064
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/714900b3-ddec-4b41-8bed-b1f93fb2eb8a.png
p62065
sbNg8
(g9
g10
NtRp62066
(dp62067
g13
Nsg14
Nsg15
V2019-06-04
p62068
sbNg8
(g9
g10
NtRp62069
(dp62070
g13
Nsg14
Nsg15
VAdministrative units
p62071
sbNg8
(g9
g10
NtRp62072
(dp62073
g13
Nsg14
Nsg15
Vvector
p62074
sbg8
(g9
g10
NtRp62075
(dp62076
g13
Nsg14
Nsg15
VFGeo|SHP
p62077
sbNg8
(g9
g10
NtRp62078
(dp62079
g13
Nsg14
Nsg15
V1:100000
p62080
sbNg8
(g9
g10
NtRp62081
(dp62082
g13
Nsg14
Nsg15
VPlease refer to the document EBM_v70_QualityReport.pdf
p62083
sbg8
(g9
g10
NtRp62084
(dp62085
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/714900b3-ddec-4b41-8bed-b1f93fb2eb8a
p62086
sbNNg8
(g9
g10
NtRp62087
(dp62088
g13
Nsg14
Nsg15
VFALSE
p62089
sbNg8
(g9
g10
NtRp62090
(dp62091
g13
Nsg14
Nsg15
VLicense
p62092
sbg8
(g9
g10
NtRp62093
(dp62094
g13
Nsg14
Nsg15
VFALSE
p62095
sbNg8
(g9
g10
NtRp62096
(dp62097
g13
Nsg14
Nsg15
VFALSE
p62098
sbNNNNNNNg8
(g9
g10
NtRp62099
(dp62100
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp62101
(dp62102
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp62103
(dp62104
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm-countries_i_2012_v07_r00
p62105
sbNg8
(g9
g10
NtRp62106
(dp62107
g13
Nsg14
Nsg15
Vsuperseded
p62108
sbtp62109
a(g8
(g9
g10
NtRp62110
(dp62111
g13
Nsg14
Nsg15
V4a038ec2-f132-485e-a8e7-bc1043d8ca2f
p62112
sbg8
(g9
g10
NtRp62113
(dp62114
g13
Nsg14
Nsg15
VFragmentation_MEFF_MajorRoads
p62115
sbg8
(g9
g10
NtRp62116
(dp62117
g13
Nsg14
Nsg15
VLandscape fragmentation Effective Mesh Size: major anthropogenic fragmenting elements (FGA1-M), version 2.0, Nov. 2016
p62118
sbNNg8
(g23
g10
NtRp62119
(dp62120
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS
p62121
sbNNg8
(g9
g10
NtRp62122
(dp62123
g13
Nsg14
Nsg15
VThe raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion, considering major roads only. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.
p62124
sbNNg8
(g9
g10
NtRp62125
(dp62126
g13
Nsg14
Nsg15
VFALSE
p62127
sbNNNg8
(g9
g10
NtRp62128
(dp62129
g13
Nsg14
Nsg15
VFALSE
p62130
sbNNg8
(g9
g10
NtRp62131
(dp62132
g13
Nsg14
Nsg15
VFALSE
p62133
sbNNg8
(g9
g10
NtRp62134
(dp62135
g13
Nsg14
Nsg15
VFALSE
p62136
sbNg8
(g9
g10
NtRp62137
(dp62138
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a038ec2-f132-485e-a8e7-bc1043d8ca2f.png
p62139
sbg8
(g9
g10
NtRp62140
(dp62141
g13
Nsg14
Nsg15
VEPSG:3035
p62142
sbg8
(g9
g10
NtRp62143
(dp62144
g13
Nsg14
Nsg15
V2019-06-04
p62145
sbNg8
(g9
g10
NtRp62146
(dp62147
g13
Nsg14
Nsg15
VHabitats and biotopes|Soil|Transport networks
p62148
sbg8
(g9
g10
NtRp62149
(dp62150
g13
Nsg14
Nsg15
Vanimal corridor|animal habitat|built environment|built-up area
p62151
sbg8
(g9
g10
NtRp62152
(dp62153
g13
Nsg14
Nsg15
Vgrid
p62154
sbg8
(g9
g10
NtRp62155
(dp62156
g13
Nsg14
Nsg15
VGTiff
p62157
sbNg8
(g9
g10
NtRp62158
(dp62159
g13
Nsg14
Nsg15
V1000m
p62160
sbNg8
(g9
g10
NtRp62161
(dp62162
g13
Nsg14
Nsg15
VThe Copernicus High Resolution Layer - Imperviousness degree is source layer for the build-up area (30% of IMD is threshold for the build-up area selection). The Open Street Map (OSM) database is the source of the transport routes. Only these elements from the OSM are included in the major anthrophogenic fragmentation: motorways and motorways links,	trunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset.\u000aThe mapping computation steps are:\u000a1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer \u000a2) selection of transport routes relevant to the fragmentation geometry\u000a3) deleting of tunnels from the transport routes\u000a4) creating of buffers around the transport routes. A buffer size is dependent on the route class\u000a6) erasing of build-up areas and the buffered routes from the seamless EEA39 territory layer\u000a7) computation of meff values for each reference units\u000a\u000aFor a detailed methodology, please consult the indicator fact sheet.\u000ahttp://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.6-first-draft-indicator-fragmentation-ecosystems-and-habitats/deliverables/indicator-factsheet-part
p62163
sbg8
(g9
g10
NtRp62164
(dp62165
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a038ec2-f132-485e-a8e7-bc1043d8ca2f
p62166
sbNNg8
(g9
g10
NtRp62167
(dp62168
g13
Nsg14
Nsg15
VFALSE
p62169
sbg8
(g9
g10
NtRp62170
(dp62171
g13
Nsg14
Nsg15
VEEA39
p62172
sbg8
(g9
g10
NtRp62173
(dp62174
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p62175
sbg8
(g9
g10
NtRp62176
(dp62177
g13
Nsg14
Nsg15
VFALSE
p62178
sbg8
(g9
g10
NtRp62179
(dp62180
g13
Nsg14
Nsg15
VEuropean Environment Agency
p62181
sbg8
(g9
g10
NtRp62182
(dp62183
g13
Nsg14
Nsg15
VFALSE
p62184
sbNNNNNNNg8
(g9
g10
NtRp62185
(dp62186
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp62187
(dp62188
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp62189
(dp62190
g13
Nsg14
Nsg15
VLand_use
p62191
sbg8
(g23
g10
NtRp62192
(dp62193
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer
p62194
sbg8
(g9
g10
NtRp62195
(dp62196
g13
Nsg14
Nsg15
Veea_r_3035_1_km_fga1-m_20111130-20160831_rev02
p62197
sbNNtp62198
a(g8
(g9
g10
NtRp62199
(dp62200
g13
Nsg14
Nsg15
V26a23284-755f-4275-a2f2-ddefd5d60aef
p62201
sbg8
(g9
g10
NtRp62202
(dp62203
g13
Nsg14
Nsg15
Vforest_combined_pressures_12-17
p62204
sbg8
(g9
g10
NtRp62205
(dp62206
g13
Nsg14
Nsg15
VManagement related pressures on forest ecosystems, Dec. 2017
p62207
sbNNg8
(g23
g10
NtRp62208
(dp62209
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Forest/forest_management_pressures/MapServer/WMSServer?request=GetCapabilities&service=WMS
p62210
sbNNg8
(g9
g10
NtRp62211
(dp62212
g13
Nsg14
Nsg15
VForest management involves various degrees of human intervention to safeguard the forest ecosystem and its functions as well as the exploitation of forest resources.  While the objectives of management vary widely and include the protection of resources in protected forests and nature reserves, the primary objective is mostly the production of wood products.\u000a\u000aAlthough sustained yield forestry continues to be widely practised, there is an increasing trend towards the management of forests as ecological systems with multiple economic benefits and environmental values, ensuring that benefits meet present as well as future generations\u2019 needs. \u000a\u000aIn order to assess forest management intensity in Europe an indicator based on three data sources has been developed:  a) Fast track ecosystem capital accounts (forest growth & harvest \u2013 disaggregated to 1km grid), b) Potential forest management (gradient of intensity of intervention with the natural processes in a forest) c) Forest fragmentation (forest ecosystem network connected by forest bridges \u2013 GUIDOS Morphological Spatial Pattern Analysis).\u000a\u000aEach input dataset has been assessed separately in a first step in terms of pressures on forest ecosystems which are the result of the specific management, use or respectively state of the forest patch. The overall management related pressure is then derived by crossing the relative pressures by each input and evaluating the constellation of the input representative factors.\u000a\u000aThis updated version of the management related forest pressures is based on the first assessment done in framework of the ETC-SIA report "Land use and land management related pressures on agricultural and forest ecosystems" (ETC-SIA, Task 1.8.4.3 Ecosystem pressures).
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VGTiff
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V1000m
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VThe basic production steps are:\u000a1. Categorization of potential forest management approach\u000a2. Comparison of forest harvest and regrowth and classification in terms of sustainability\u000a3. Evaluation forest patch size and connectivity\u000a4. Compilation of the three sub-indicators into the management related forest pressure indicator\u000a\u000aFor a detailed methodology please consult the report HNVForest_forest_pressures_reprocessing2017_data_description_20171030.pdf provided with the dataset. \u000a\u000aData sets used:\u000a\u000aTree species map (1 km grid): EFI (http://www.efi.int/portal/virtual_library/information_services/mapping_services/tree_species_maps_for_european_forests/)\u000aPotential forest management (1 km grid): Hengeveld (http://opendap.cgi-systems.nl/thredds/catalog/projecten/EuropeanForest/FMAmap/catalog.html)\u000aFast track ecosystem capital accounts (1 km grid): UMA\u000aHRL forest 2012 \u2013 tree cover density (20m grid): COPERNICUS\u000aJRC GUIDOS Morphological Spatial Pattern Analysis (MSPA) \u2013 Forest patch connectivity (input: HRL Forest 2012 \u2013 tree cover density - 20m grid): JRC / UMA
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V
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/forest_management_pressures/MapServer
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VThe delineation of European mountain areas was carried out by using digital elevation models, considering different criteria combination of thresholds of altitude, climate, and topography variables (IP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA).\u000aThis dataset was created in 2008, covers the full European continent and is a reference layer for the EEA Report No 6/2010 on Europe's ecological backbone: recognising the true value of our mountain (https://www.eea.europa.eu/publications/europes-ecological-backbone).
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p62305
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VElevation
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Valtitude|climate|mountainous area
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Vvector
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VSHP
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V1:25000
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VThe criteria for generating the European mountain areas data were based on the global dataset by Kapos et al. (2000), using the GTOPO30 global digital elevation model (DEM) developed by the US Geological Survey. The dataset excluded the climatic criteria for areas north of 62ºN. Additionally, to create continuous areas, and considering that topographic constraints play a greater role when they extend over a certain area, isolated mountainous areas of less than 10 km2 were not considered. However, non-mountainous areas of less than 10km2 within mountain massifs were included (ETC/LUSI - EEA, 2008).\u000a\u000aReferences:\u000aKapos, V., Rhind, J., Edwards, M., Price, M.F. and Ravilious, C. 2000.\u000aDeveloping a map of the world\u2019s mountain forests In M.F. Price and N. Butt (eds.)\u000aForests in sustainable mountain development: A state-of-knowledge report for 2000. CAB International, Wallingford: 4-9.\u000a\u000aIP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60c8302b-35cd-4376-9cda-865dd42fab7b
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VFALSE
p62347
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VAndorra|EEA39|San Marino
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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p62356
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VEuropean Environment Agency
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p62362
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V
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V
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VTopography
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Land/EuropeanMountainAreas/MapServer
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VNatura 2000 (vector) - version 2018, Apr. 2019
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VNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\u000a\u000aThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\u000a\u000aThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\u000a\u000aThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\u000a\u000aAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\u000a\u000aPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\u000a\u000ahttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\u000a\u000aThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aBesides the web service link provided in the metadata, the following services provide information on species and habitat types inside the Natura 2000 sites:\u000ahttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Habitats/MapServer\u000ahttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Species/MapServer
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VFALSE
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V2019-06-28
p62412
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VProtected sites
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Vnatural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species
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Vvector
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VMember States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.\u000aMore information about the production of the European Natura 2000 database can be found in the document "Natura 2000 dataflow doc 2017.docx" available on https://www.eea.europa.eu/themes/biodiversity/document-library/natura-2000/the-natura-2000-data-flow/view.
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VThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\u000a\u000aThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\u000a\u000aEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.
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VFALSE
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VEuropean Commission
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VFALSE
p62451
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V
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V
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Veea_v_3035_100_k_natura2000_p_2018_v09_r00
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VLandscape fragmentation Effective Mesh Density: major anthropogenic fragmenting elements (FGA1-S) - version 2.0, Nov. 2016
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, focusing only on major roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.\u000a\u000aAn important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.
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VFALSE
p62489
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VFALSE
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VThe seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only these elements from the OSM are included in the major anthropogenic fragmentation: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset.The mapping computation steps are:\u000a1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\u000a2) selection of transport routes relevant to the fragmentation geometry\u000a3) deleting of tunnels from the transport routes\u000a4) creating of buffers around the transport routes. A buffer size is dependent on the route class\u000a6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\u000a7) computation of meff values for each 1km sq reporting unit\u000a8) computation of seff values for each 1km sq reporting unit\u000a\u000aSee:\u000aJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130\u000ahttp://link.springer.com/article/10.1023/A%3A1008129329289\u000aMoser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447\u2013459.\u000ahttp://link.springer.com/article/10.1007%2Fs10980-006-9023-0
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e302cc81-7167-4a2a-9458-a3b8de9c62d6
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VLand_use
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer
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VWISE_EIONET_spatial_datasets
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VWISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.3, Apr. 2019
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-19. \u000a\u000aThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\u000aFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive".\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\u000aAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\u000aLake: Body of standing inland surface water.\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
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p62572
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VFALSE
p62581
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a03a3a9-32e7-4712-a9ee-c2789266794d.png
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VEPSG:4326
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V2019-06-04
p62590
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VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water
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Vaquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management
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Vvector
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VSHP|Spatialite
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000acYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\u000acountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\u000alat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000alon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000astatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\u000astatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\u000aremarks:Additional information about the status code of the superseding object, if any.\u000aqcCheck:Additional information about checks performed in the data.\u000a\u000a2) Data sources\u000a\u000aInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\u000a\u000aAdditional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\u000a\u000aFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \u000a\u000a3) Data processing\u000a\u000aThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \u000a\u000aFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\u000a\u000aThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a03a3a9-32e7-4712-a9ee-c2789266794d
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VFALSE
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p62620
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VEuropean Environment Agency
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V
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VWater
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer
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Veea_v_4326_250_k_wise-eionet_p_2001-2019_v01_r03
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V53bb9d36-0e28-4486-aa06-dc488671c84e
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VFragmentation_MEFF_MajorMediumRoads
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VLandscape fragmentation Effective Mesh Size: major and medium anthropogenic fragmenting elements (FGA2-M), version 2.0, Nov. 2016
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_antropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.
p62658
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VFALSE
p62661
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VFALSE
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53bb9d36-0e28-4486-aa06-dc488671c84e.png
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VEPSG:3035
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V2019-06-04
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VHabitats and biotopes|Soil|Transport networks
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Vanimal corridor|animal habitat|built environment|built-up area|landscape
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Vgrid
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VGTiff
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V1000m
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VCalculation of the effective mesh size meff is based on two main datasets: 1) the Fragmentation Geometry (FG) (i.e., the set of all elements defining the fragmentation pattern) and 2) reporting units (spatial units for which meff is calculated). The reporting units layer (in this case a regular 1km2 grid) and the Fragmentation Geometry layer are overlaid and the Meff is calculated for each reporting unit.\u000a\u000aThe Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset.\u000aThe mapping computation steps are:\u000a1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\u000a2) selection of transport routes relevant to the fragmentation geometry\u000a3) deleting of tunnels from the transport routes\u000a4) creating of buffers around the transport routes. A buffer size is dependent on the route class\u000a6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\u000a7) computation of meff values for each 1km sq reporting unit\u000a\u000aReferences:\u000aJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130, http://link.springer.com/article/10.1023/A%3A1008129329289
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bb9d36-0e28-4486-aa06-dc488671c84e
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V2011
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V2016
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VTRUE
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VEEA39
p62712
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000a\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000a\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000a\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000a\u000aLake: Body of standing inland surface water. \u000a\u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000a\u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000a\u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000a\u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000a\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.
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VThe EEA coastline dataset is created for detailed analysis with a Minimum Mapping Unit of e.g. 1:100000, for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: 1) EUHYDRO (Pan-European hydrographic and drainage database) [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and 2) GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database)[http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). \u000aIn this revision (v3, 2017),  2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.\u000a\u000aThis dataset is a polygon usable as a water-land mask.
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.\u000a\u000aAn important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.
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VThe seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset.\u000aThe mapping computation steps are:\u000a1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\u000a2) selection of transport routes relevant to the fragmentation geometry\u000a3) deleting of tunnels from the transport routes\u000a4) creating of buffers around the transport routes. A buffer size is dependent on the route class\u000a6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\u000a7) computation of meff values for each 1km sq reporting unit\u000a8) computation of seff values for each 1km sq reporting unit\u000a\u000aSee:\u000aJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130\u000ahttp://link.springer.com/article/10.1023/A%3A1008129329289\u000aMoser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447\u2013459.\u000ahttp://link.springer.com/article/10.1007%2Fs10980-006-9023-0
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VWFD_2010
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VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.3, Apr. 2019
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000a\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000a\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000a\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000a\u000aLake: Body of standing inland surface water. \u000a\u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000a\u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000a\u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000a\u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000a\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.
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VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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VAustria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden
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VFor further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer
p63114
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NtRp63115
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Veea_v_4326_250_k_wise-wfd2010_p_2010-2019_v01_r03
p63117
sbNNtp63118
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Vfaff2281-1fca-4548-89d8-c8ec0c507bc7
p63121
sbg8
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NtRp63122
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Nsg14
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VEcosystem_types
p63124
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g10
NtRp63125
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Nsg14
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VEcosystem types of Europe 2012 - Full map (marine and terrestrial habitats) - version 3 revision 1, Feb. 2019
p63127
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Vhttps://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer/WMSServer?request=GetCapabilities&service=WMS
p63130
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VThe data set aims to contribute to a better biological characterization of marine and terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 for terrestrial habitats and corresponding Level 3 for marine habitats (including information on sea ice coverage).\u000a\u000aThe map combines spatially explicit data on marine bathymetry and sea-bed and land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centres ETC/BD and ETC/ULS is to improve the biological description of marine and land based ecosystem types and their spatial distribution across Europe.\u000a\u000aSince it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product.\u000a\u000aThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. For terrestrial habitats a representation of MAES level 2 is contained in the reliability map as secondary product.
p63133
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VFALSE
p63136
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VFALSE
p63139
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VFALSE
p63142
sbNNg8
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Nsg15
VFALSE
p63145
sbNg8
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/faff2281-1fca-4548-89d8-c8ec0c507bc7.png
p63148
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V2019-06-04
p63151
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VHabitats and biotopes|Land cover|Oceanographic geographical features|Sea regions
p63154
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NtRp63155
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g13
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Vecosystem type|environmental policy|habitat|riparian zone
p63157
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Vgrid
p63160
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VGTiff
p63163
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V100m
p63166
sbNg8
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VThe data set is a composition of two independent but complementary data sets:\u000a\u000aa) marine part (elaborated by EEA and ETC/ULS) \u2013 Ecosystem Type Map 2012 v3.1 - Marine habitats\u000ab) terrestrial part (elaborated by EEA and ETC/BD) \u2013 Ecosystem Type Map 2012 v3.1 - Terrestrial habitats\u000a\u000aThe two parts have been merged into a new data set by the \u201cMosaic To New Raster\u201d tool.\u000a\u000aInformation about the lineage of these two component datasets is provided within their corresponding metadata as well as on the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).
p63169
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NtRp63170
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/faff2281-1fca-4548-89d8-c8ec0c507bc7
p63172
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VFALSE
p63175
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NtRp63176
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VEEA39
p63178
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p63181
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NtRp63182
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g13
Nsg14
Nsg15
VFALSE
p63184
sbg8
(g9
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NtRp63185
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VEuropean Environment Agency
p63187
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(g9
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NtRp63188
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VFALSE
p63190
sbNNNNNNNg8
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V
sbg8
(g9
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NtRp63193
(dp63194
g13
Nsg14
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V
sbg8
(g9
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NtRp63195
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g13
Nsg14
Nsg15
VBiodiversity
p63197
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NtRp63198
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Vhttps://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer
p63200
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NtRp63201
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Veea_r_3035_100_m_ecosystem-types-full_p_2012_v03_r01
p63203
sbNNtp63204
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NtRp63205
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g13
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V0c1a7253-a6d5-43d2-8eb7-49836b11ce53
p63207
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NtRp63208
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g13
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VElevation_Breakdown_100m
p63210
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g13
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VElevation Breakdown based on EU-DEM (resolution 100m), Dec. 2016
p63213
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_100m/MapServer/WMSServer?request=GetCapabilities&service=WMS
p63216
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VThis layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.
p63219
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VFALSE
p63222
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VFALSE
p63225
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VFALSE
p63228
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VFALSE
p63231
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1a7253-a6d5-43d2-8eb7-49836b11ce53.png
p63234
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VEPSG:3035
p63237
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(g9
g10
NtRp63238
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g13
Nsg14
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V2019-06-04
p63240
sbNg8
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g13
Nsg14
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VElevation
p63243
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Vland cover
p63246
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Vgrid
p63249
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VGTiff
p63252
sbNg8
(g9
g10
NtRp63253
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Nsg14
Nsg15
V100m
p63255
sbNg8
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g10
NtRp63256
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VThis version of the Elevation Breakdown was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains.\u000a\u000aInput layers include: \u000a- EUDEM resampled to 100m (derived from EU-DEM 25m)\u000a- Coastline and reference mask, provided by GISAT.\u000aDetailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).
p63258
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g10
NtRp63259
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1a7253-a6d5-43d2-8eb7-49836b11ce53
p63261
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VFALSE
p63264
sbg8
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VEEA32
p63267
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g10
NtRp63268
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g13
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p63270
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(g9
g10
NtRp63271
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VFALSE
p63273
sbg8
(g9
g10
NtRp63274
(dp63275
g13
Nsg14
Nsg15
VEuropean Environment Agency
p63276
sbg8
(g9
g10
NtRp63277
(dp63278
g13
Nsg14
Nsg15
VFALSE
p63279
sbNNNNNNNg8
(g9
g10
NtRp63280
(dp63281
g13
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V
sbg8
(g9
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NtRp63282
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Nsg14
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V
sbg8
(g9
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NtRp63284
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VTopography
p63286
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NtRp63287
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_100m/MapServer
p63289
sbg8
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NtRp63290
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Veea_r_3035_100_m_ebk-eudem_2012
p63292
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a(g8
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Vab0e6d0b-699c-473d-bd5e-e5c634c8f99c
p63296
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NtRp63297
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VForest_Type_20m_2015
p63299
sbg8
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g10
NtRp63300
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Nsg14
Nsg15
VHigh Resolution Layer: Forest Type 2015 (raster 20m), Apr. 2018
p63302
sbNNg8
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g10
NtRp63303
(dp63304
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p63305
sbNNg8
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Nsg14
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p63308
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VFALSE
p63311
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VFALSE
p63314
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VFALSE
p63317
sbNNg8
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VFALSE
p63320
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c.png
p63323
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VEPSG:3035
p63326
sbg8
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V2019-06-04
p63329
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VLand cover
p63332
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Vforest management|land cover|land use|landscape alteration
p63335
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Vgrid
p63338
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VGTiff
p63341
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V20m
p63344
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NtRp63345
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g13
Nsg14
Nsg15
VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p63347
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c
p63350
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NtRp63351
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VFALSE
p63353
sbg8
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Nsg15
VEEA39
p63356
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p63359
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VFALSE
p63362
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VEuropean Environment Agency
p63365
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VFALSE
p63368
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V
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V
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VForest
p63375
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer
p63378
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Vcopernicus_r_3035_20_m_fty_2014-2016
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V6e6d80b9-9563-4260-a78e-1ff3644b84a8
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VUrbanSprawl_UD_09
p63388
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VUtilisation Density (UD) 2009 (LEAC Grid), Nov. 2016
p63391
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p63394
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VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aBesides WUP and its components, the other indicator was calculated:\u000aUtilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UD_1km_2009y/MapServer
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VDegree of Urban Dispersion (DIS) 2006 (LEAC Grid), Nov. 2016
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VThe degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aThe DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
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V2019-06-04
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VBuildings|Land use|Population distribution \u2014 demography
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Vbuilt environment|built-up area|urban sprawl|urbanisation
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07809c04-c010-4203-85ef-bb801dec84a3
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VEEA39
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VUrban Permeation (UP) 2006 (LEAC Grid), Nov. 2016
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VUrban Permeation (UP) is a measure of the permeation of a landscape by built\u2011up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric "Weighted Urban Proliferation\u201c (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aThe WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aUP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2).\u000aThe UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
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VBuildings|Land use|Population distribution \u2014 demography
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Vbuilt environment|built-up area|urban sprawl|urbanisation
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VEPSG:3035
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V2019-06-04
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VLand cover
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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Vgrid
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VGTiff
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V100m
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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p63718
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VEuropean Environment Agency
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p63724
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V
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VLand_cover
p63731
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer
p63734
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Vcopernicus_r_3035_100_m_imd_2005-2007
p63737
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VUrbanSprawl_PBA_06
p63744
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VPercentage of Built-up Area (PBA) 2006 (LEAC Grid), Nov. 2016
p63747
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NtRp63748
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VPercentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape). \u000aPBA is a component of the new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aValues for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape.\u000aThe PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
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p63756
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p63759
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VFALSE
p63762
sbNNg8
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VFALSE
p63765
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af1d948d-c173-4ce1-8e5a-bd241f5331e7.png
p63768
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VEPSG:3035
p63771
sbg8
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g10
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(dp63773
g13
Nsg14
Nsg15
V2019-06-04
p63774
sbNg8
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g10
NtRp63775
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VBuildings|Land use|Population distribution \u2014 demography
p63777
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Vbuilt environment|built-up area|urban sprawl|urbanisation
p63780
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g10
NtRp63781
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g13
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Vgrid
p63783
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g13
Nsg14
Nsg15
VGTiff
p63786
sbNg8
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g10
NtRp63787
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g13
Nsg14
Nsg15
V1km
p63789
sbNg8
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g10
NtRp63790
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g13
Nsg14
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p63792
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af1d948d-c173-4ce1-8e5a-bd241f5331e7
p63795
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V2005
p63798
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V2006
p63801
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VTRUE
p63804
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VEEA39
p63807
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p63810
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VFALSE
p63813
sbg8
(g9
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VEuropean Environment Agency
p63816
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p63819
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V
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V
sbg8
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VUrban
p63826
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NtRp63827
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/PBA_1km_2006y/MapServer
p63829
sbg8
(g9
g10
NtRp63830
(dp63831
g13
Nsg14
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Veea_r_3035_1_km_pba2006_2005-2006
p63832
sbNNtp63833
a(g8
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NtRp63834
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V9428d406-189d-4c6e-8779-7ff8df64be81
p63836
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VUrbanSprawl_WUP_06
p63839
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NtRp63840
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g13
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VWeighted Urban Proliferation (WUP) 2006 (LEAC Grid), Nov. 2016
p63842
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p63845
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VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).
p63848
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NtRp63849
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VFALSE
p63851
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VFALSE
p63854
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NtRp63855
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g13
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VFALSE
p63857
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NtRp63858
(dp63859
g13
Nsg14
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VFALSE
p63860
sbNg8
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9428d406-189d-4c6e-8779-7ff8df64be81.png
p63863
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VEPSG:3035
p63866
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(g9
g10
NtRp63867
(dp63868
g13
Nsg14
Nsg15
V2019-06-04
p63869
sbNg8
(g9
g10
NtRp63870
(dp63871
g13
Nsg14
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VBuildings|Land use|Population distribution \u2014 demography
p63872
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g10
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Vbuilt environment|built-up area|urban sprawl|urbanisation
p63875
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g10
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Vgrid
p63878
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g13
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VGTiff
p63881
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NtRp63882
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g13
Nsg14
Nsg15
V1km
p63884
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(g9
g10
NtRp63885
(dp63886
g13
Nsg14
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p63887
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NtRp63888
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g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9428d406-189d-4c6e-8779-7ff8df64be81
p63890
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NtRp63891
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g74
sg15
V2005
p63893
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(g9
g10
NtRp63894
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g74
sg15
V2006
p63896
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(g9
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NtRp63897
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g13
Nsg14
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VTRUE
p63899
sbg8
(g9
g10
NtRp63900
(dp63901
g13
Nsg14
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VBulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia
p63902
sbg8
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p63905
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NtRp63906
(dp63907
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VFALSE
p63908
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VEuropean Environment Agency
p63911
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NtRp63912
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VFALSE
p63914
sbNNNNNNNg8
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NtRp63915
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V
sbg8
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NtRp63917
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Nsg14
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V
sbg8
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NtRp63919
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VUrban
p63921
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2006y/MapServer
p63924
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(g9
g10
NtRp63925
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Veea_r_3035_1_km_wup2006_2005-2006
p63927
sbNNtp63928
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V94530236-1a4e-450f-8ae4-87899dc4b141
p63931
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VForest_Naturalness_Carpathians
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VForest naturalness, species assemblages in the Carpathians (KEO), Oct. 2016
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NtRp63938
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestNaturalnessCarpathians/MapServer/WMSServer?request=GetCapabilities&service=WMS
p63940
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VThe naturalness dataset is calculated as a species assemblages likeliness over the forest coverage. It has been produced for the entire Carpathian region included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication "Europe´s ecological backbone: recognising the true value of our mountains".
p63943
sbNNg8
(g9
g10
NtRp63944
(dp63945
g13
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Nsg15
VFALSE
p63946
sbNNNg8
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VFALSE
p63949
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VFALSE
p63952
sbNNg8
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g10
NtRp63953
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Nsg15
VFALSE
p63955
sbNg8
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NtRp63956
(dp63957
g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94530236-1a4e-450f-8ae4-87899dc4b141.png
p63958
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VEPSG:3035
p63961
sbg8
(g9
g10
NtRp63962
(dp63963
g13
Nsg14
Nsg15
V2019-06-04
p63964
sbNg8
(g9
g10
NtRp63965
(dp63966
g13
Nsg14
Nsg15
VSpecies distribution
p63967
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NtRp63968
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Vecological parameter|forest|forest ecosystem|species
p63970
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Vgrid
p63973
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VGTiff
p63976
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V1km
p63979
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g10
NtRp63980
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VThe Naturalness indicator, as described in the EEA technical report 13/2014, is equal to the relation between the high percentage of natural species presence and the percentage of forest coverage, providing an indication of the level of natural forest species available in a forest ecosystem. In this calculation on Carpathian region, the species of interest were selected from the distribution maps from the European Forest Inventory (Brus, et al., 2011), grouped following the spatial distribution provided by (Barbati et al., 2013) and divided by percentage of available forest obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA).\u000aMore details on the creation of this indicator are available in the final report "ETCULS1835_RegionalCoperation_CarpathiansReport.pdf". \u000aThe document "ForestN.docx" available for download provides information about the quality checks performed on the dataset.\u000aReferences:\u000aDeveloping a forest naturalness indicator for Europe. Concept and methodology for a high nature value (HNV) forest indicator (EEA Technical report No 13/2014) available on https://www.eea.europa.eu/publications/developing-a-forest-naturalness-indicator.\u000aBarbati et al. (2013). European Forest Types and Forest Europe SFM indicators: Tools for monitoring progress on\u000aforest biodiversity conservation. Forest ecol. manage.\u000aBrus, D., Hengeveld, G., Walvoort, D., Goedhart, P., Heidema, A., Nabuurs, G., et al. (2011). Statistical mapping\u000aof tree species over Europe. European Journal of Forest Research, 131(1), 145\u2013157.
p63982
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94530236-1a4e-450f-8ae4-87899dc4b141
p63985
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NtRp63986
(dp63987
g13
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g74
sg15
V2011
p63988
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g10
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g13
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g74
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V2011
p63991
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g10
NtRp63992
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Nsg14
Nsg15
VFALSE
p63994
sbg8
(g9
g10
NtRp63995
(dp63996
g13
Nsg14
Nsg15
VCzechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine
p63997
sbg8
(g9
g10
NtRp63998
(dp63999
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p64000
sbg8
(g9
g10
NtRp64001
(dp64002
g13
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Nsg15
VFALSE
p64003
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VFALSE
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestNaturalnessCarpathians/MapServer
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VHigh Resolution Layer: Imperviousness Degree Change 2006-2009 (raster 20m), Apr. 2018
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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V2019-06-04
p64059
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VLand cover
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V20m
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/899550c5-55fb-4291-87ad-6354b9b43e07
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VFALSE
p64098
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VEuropean Environment Agency
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VFALSE
p64104
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V
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V
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VLand_cover
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer
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Vcopernicus_r_3035_20_m_imdc_2006-2009
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VTree_Cover_Density_Change_100m_2012-2015
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VHigh Resolution Layer: Tree Cover Density Change 2012-2015 (raster 100m), May 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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VFALSE
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VFALSE
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VFALSE
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VEPSG:3035
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V2019-06-04
p64154
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VLand cover
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g10
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Vforest management|land cover|land use|landscape alteration
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Vgrid
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VGTiff
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V100m
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p64172
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff9d71d2-549f-428c-9454-1070564612c2
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V2014
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V2016
p64181
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VTRUE
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VEEA39
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p64190
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VFALSE
p64193
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VEuropean Environment Agency
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VFALSE
p64199
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V
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V
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VForest
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer
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Vcopernicus_r_3035_100_m_tcdc_2014-2016
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V13565c71-f48b-49eb-a96f-7db32a6c7f47
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VUrban_Atlas_2012
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the reference year 2012 in EU and EFTA countries. The spatial data can be downloaded together with a map for each FUA covered and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://land.copernicus.eu/user-corner/technical-library/urban-atlas-2012-mapping-guide-new.\u000a\u000aUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.
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VFALSE
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VFALSE
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VFALSE
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VFALSE
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VEPSG:3035
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V2019-06-04
p64249
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VLand use
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Vland cover|land use|landscape alteration|urban area
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Vvector
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VSHP
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VThe Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\u000aThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13565c71-f48b-49eb-a96f-7db32a6c7f47
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V2011
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V2013
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VTRUE
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VEEA39
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VFALSE
p64288
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VEuropean Environment Agency
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VFALSE
p64294
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V
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer
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VTree_Cover_Density_100m_2012
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VHigh Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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V2019-06-04
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VLand cover
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Vforest management|land cover|land use|landscape alteration
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Vgrid
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VGTiff
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V100m
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. \u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299ad2d6-f2b8-4716-b169-1d621250fc3c
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V2011
p64368
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V2013
p64371
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VTRUE
p64374
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VEEA39
p64377
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VFALSE
p64383
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VEuropean Environment Agency
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VFALSE
p64389
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V
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V
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VForest
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer
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Vcopernicus_r_3035_100_m_tcd_2011-2013
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V060409f4-5b0e-4b89-95c9-c1b5ebda3dd7
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VUrbanSprawl_LUP_06
p64409
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g10
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VLand Uptake per Person (inhabitants and jobs) (LUP) 2006 (LEAC Grid), Nov. 2016
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/LUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p64415
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VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aLand uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.
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VFALSE
p64421
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VFALSE
p64424
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g10
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VFALSE
p64427
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g10
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VFALSE
p64430
sbNg8
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g10
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7.png
p64433
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VEPSG:3035
p64436
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(g9
g10
NtRp64437
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g13
Nsg14
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V2019-06-04
p64439
sbNg8
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g10
NtRp64440
(dp64441
g13
Nsg14
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VBuildings|Land use|Population distribution \u2014 demography
p64442
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g10
NtRp64443
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Nsg14
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Vbuilt environment|built-up area|inhabitant|urban sprawl|urbanisation
p64445
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g10
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g13
Nsg14
Nsg15
Vgrid
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g10
NtRp64449
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VGTiff
p64451
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NtRp64452
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V1km
p64454
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NtRp64455
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p64457
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g10
NtRp64458
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7
p64460
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V2005
p64463
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V2006
p64466
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VTRUE
p64469
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VBulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia
p64472
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p64475
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VFALSE
p64478
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VEuropean Environment Agency
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VFALSE
p64484
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V
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V
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VUrban
p64491
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2006y/MapServer
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Veea_r_3035_1_km_lup2006_2005-2006
p64497
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V3de1ca12-d9a2-40bf-ae55-5c5026b8b90e
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VImperviousness_Change_20m_2006-2012
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VHigh Resolution Layer: Imperviousness Degree Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VFALSE
p64516
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VFALSE
p64519
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VFALSE
p64522
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g10
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VFALSE
p64525
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e.png
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VEPSG:3035
p64531
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V2019-06-04
p64534
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VLand cover
p64537
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p64540
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g10
NtRp64541
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Vgrid
p64543
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VGTiff
p64546
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V20m
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e
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V2006
p64558
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V2012
p64561
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VTRUE
p64564
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VEEA39
p64567
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p64570
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VFALSE
p64573
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VEuropean Environment Agency
p64576
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VFALSE
p64579
sbNNNNNNNg8
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V
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V
sbg8
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VLand_cover
p64586
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer
p64589
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Vcopernicus_r_3035_20_m_imdc_2006-2012
p64592
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VUrbanSprawl_DIS_09
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VDegree of Urban Dispersion (DIS) 2009 (LEAC Grid), Nov. 2016
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/DIS_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p64605
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VThe degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aThe DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
p64608
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VFALSE
p64611
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p64614
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VFALSE
p64617
sbNNg8
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VFALSE
p64620
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef.png
p64623
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VEPSG:3035
p64626
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g10
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Nsg15
V2019-06-04
p64629
sbNg8
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g10
NtRp64630
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g13
Nsg14
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VBuildings|Land use|Population distribution \u2014 demography
p64632
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g13
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Vbuilt environment|built-up area|urban sprawl|urbanisation
p64635
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Vgrid
p64638
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VGTiff
p64641
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V1km
p64644
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p64647
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef
p64650
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V2008
p64653
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V2009
p64656
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VTRUE
p64659
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VEEA39
p64662
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p64665
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VFALSE
p64668
sbg8
(g9
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NtRp64669
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VEuropean Environment Agency
p64671
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VFALSE
p64674
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V
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V
sbg8
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VUrban
p64681
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/DIS_1km_2009y/MapServer
p64684
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Veea_r_3035_1_km_dis2009_2008-2009
p64687
sbNNtp64688
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NtRp64689
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Vc389689b-38b7-4e3d-bc7b-a403da0cac47
p64691
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VImperviousness_Change_100m_2009-2012
p64694
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VHigh Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 100m), Apr. 2018
p64697
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS
p64700
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p64703
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VFALSE
p64706
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VFALSE
p64709
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VFALSE
p64712
sbNNg8
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VFALSE
p64715
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c389689b-38b7-4e3d-bc7b-a403da0cac47.png
p64718
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VEPSG:3035
p64721
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V2019-06-04
p64724
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VLand cover
p64727
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p64730
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Vgrid
p64733
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VGTiff
p64736
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V100m
p64739
sbNg8
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p64742
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c389689b-38b7-4e3d-bc7b-a403da0cac47
p64745
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g74
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V2008
p64748
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g74
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V2013
p64751
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NtRp64752
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VTRUE
p64754
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VEEA39
p64757
sbg8
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g10
NtRp64758
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g13
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Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p64760
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g10
NtRp64761
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VFALSE
p64763
sbg8
(g9
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NtRp64764
(dp64765
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VEuropean Environment Agency
p64766
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(g9
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NtRp64767
(dp64768
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Nsg15
VFALSE
p64769
sbNNNNNNNg8
(g9
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(dp64771
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V
sbg8
(g9
g10
NtRp64772
(dp64773
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp64774
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VLand_cover
p64776
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g10
NtRp64777
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer
p64779
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Vcopernicus_r_3035_100_m_imdc_2008-2013
p64782
sbNNtp64783
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NtRp64784
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V8111fc53-934b-4e6a-afc7-d11664c5ebc3
p64786
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VForest_Type_100m_2015
p64789
sbg8
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g10
NtRp64790
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Nsg14
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VHigh Resolution Layer: Forest Type 2015 (raster 100m), Apr. 2018
p64792
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NtRp64793
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p64795
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p64798
sbNNg8
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g10
NtRp64799
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g13
Nsg14
Nsg15
VFALSE
p64801
sbNNNg8
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VFALSE
p64804
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VFALSE
p64807
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NtRp64808
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VFALSE
p64810
sbNg8
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NtRp64811
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Nsg14
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8111fc53-934b-4e6a-afc7-d11664c5ebc.png
p64813
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VEPSG:3035
p64816
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g10
NtRp64817
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Nsg15
V2019-06-04
p64819
sbNg8
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g10
NtRp64820
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VLand cover
p64822
sbg8
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Vforest management|land cover|land use|landscape alteration
p64825
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g10
NtRp64826
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g13
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Vgrid
p64828
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g10
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VGTiff
p64831
sbNg8
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g10
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V100m
p64834
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p64837
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8111fc53-934b-4e6a-afc7-d11664c5ebc3
p64840
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g74
sg15
V2014
p64843
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g74
sg15
V2016
p64846
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VTRUE
p64849
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VEEA39
p64852
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p64855
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VFALSE
p64858
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VEuropean Environment Agency
p64861
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VFALSE
p64864
sbNNNNNNNg8
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g10
NtRp64865
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V
sbg8
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g10
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V
sbg8
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VForest
p64871
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer
p64874
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe dataset illustrates the potential of soils to serve as a soil biodiversity pool. The potential is expressed as an indexed value from 1 (lowest potential) to 10 (highest potential). \u000aThe potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables  (e.g. soil PH, texture, land cover among others) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The dataset has been validated with existing data on soil biodiversity of different projects throughout Europe.
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VFor all the details, please refer to \u000aEce Aksoy, Geertrui Louwagie, Ciro Gardi, Mirko Gregor, Christoph Schröder, Manuel Löhnertz, Assessing soil biodiversity potentials in Europe, In Science of The Total Environment, Volume 589, 2017, Pages 236-249, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.02.173. (http://www.sciencedirect.com/science/article/pii/S0048969717304229)\u000a\u000aThe potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables (see Table 1 in the paper) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The thresholds (see Table 2 in the paper) are defined in line with levels that are expected to regulate soil biodiversity levels and range from 0 to 4, depending on the main parameters as described in the material section. Using these threshold levels and their corresponding scores, the general status of soil biodiversity potentials could be assessed and mapped on a European scale. The assessment of the soil biodiversity potential is calculated as the spatial sum of the re-classified layers of each indicator (see figure 2 of paper). The score of the land cover/land use indicator is used as a multiplying factor.\u000a\u000aFor more information about the quality checks performed on the dataset, the document "eea_r_3035_1_km_soilbiodiv_2000_SpatialDataDeliveryReport.docx" is also made available with the dataset.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VUrban Permeation (UP) is a measure of the permeation of a landscape by built\u2011up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric "Weighted Urban Proliferation\u201c (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aThe WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aUP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2).\u000aThe UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Urban Atlas Change layers have become available from 2012 and only for all FUAs that have been covered in both 2006 and 2012 reference years.\u000a\u000aUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.
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VThe Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\u000aThe Minimum Mapping Unit is as follows:\u000aClass 1 to Class 1: 0.1 ha;\u000aClass 2 - 5 to Class 1: 0.1 ha;\u000aClass 2 - 5 to Class 2 - 5: 0.25 ha;\u000aClass 1 to Class 2 - 5: 0.25 ha.\u000aThe Minimum Mapping Width is 10 m.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/047f71ee-dec6-4c7b-8044-7a153c025588
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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p65339
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b83d30f-4731-4de3-bead-1c6432d9d30a
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe European Urban Atlas provides reliable, inter-comparable, high-resolution land use maps for 305 Large Urban Zones and their surroundings (more than 100.000 inhabitants as defined by the Urban Audit) for the reference year 2006 in EU member states. The GIS data can be downloaded together with a map for each covered urban area and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://www.eea.europa.eu/data-and-maps/data/urban-atlas/#tab-methodology.\u000a\u000aUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.
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VThe Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\u000aThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/551d6741-84d0-43fb-bda8-1768d51bbb4c
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VTRUE
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VEU27
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p65615
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p65624
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V
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VCorine Land Cover 2000 (raster 100m) version 18.5 accounting layer, Mar. 2017
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2000_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VCORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012).  \u000aTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\u000aThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\u000aCLC2000 was the second CORINE Land Cover inventory and lasted for four years. Results of CLC1990 were improved and mapping CLC-Changes were tested. Computer Assisted Photo-Interpretation (CAPI) has become a commonplace. Number of participants has increased. CLC2000 was replaced by CLC2000_revised, if the country has produced this during the implementation of CLC2006 and delivered to EEA. If the CLC2000_revised layer did not exist for the country, the original CLC2000 was used in the final European mosaic.
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VVector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\u000aAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \u000aMethodology of harmonization to create CLC accounting layers:\u000aThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\u000aCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\u000aAdditional criteria of the realization were:\u000a(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\u000a(2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012.\u000aBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\u000a(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\u000a(1a) Overwrite CLC2012 with  first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\u000a(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\u000a(2) Create CLC2006 accounting layer by including consumption information  (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\u000a(3) Create CLC2000 accounting layer by including consumption information  (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\u000a(4) Create CLC1990 accounting layer by including consumption information  (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\u000aThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/532f0b73-66c3-46f6-b5a5-d1cccd140433.png
p65763
sbg8
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g10
NtRp65764
(dp65765
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Nsg14
Nsg15
VEPSG:3035
p65766
sbg8
(g9
g10
NtRp65767
(dp65768
g13
Nsg14
Nsg15
V2019-06-04
p65769
sbNg8
(g9
g10
NtRp65770
(dp65771
g13
Nsg14
Nsg15
VLand cover
p65772
sbg8
(g9
g10
NtRp65773
(dp65774
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p65775
sbg8
(g9
g10
NtRp65776
(dp65777
g13
Nsg14
Nsg15
Vgrid
p65778
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(g9
g10
NtRp65779
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g13
Nsg14
Nsg15
VGTiff
p65781
sbNg8
(g9
g10
NtRp65782
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g13
Nsg14
Nsg15
V20m
p65784
sbNg8
(g9
g10
NtRp65785
(dp65786
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p65787
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(g9
g10
NtRp65788
(dp65789
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/532f0b73-66c3-46f6-b5a5-d1cccd140433
p65790
sbg8
(g9
g10
NtRp65791
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g13
Nsg14
g74
sg15
V2005
p65793
sbg8
(g9
g10
NtRp65794
(dp65795
g13
Nsg14
g74
sg15
V2007
p65796
sbg8
(g9
g10
NtRp65797
(dp65798
g13
Nsg14
Nsg15
VTRUE
p65799
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(g9
g10
NtRp65800
(dp65801
g13
Nsg14
Nsg15
VEEA39
p65802
sbg8
(g9
g10
NtRp65803
(dp65804
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p65805
sbg8
(g9
g10
NtRp65806
(dp65807
g13
Nsg14
Nsg15
VFALSE
p65808
sbg8
(g9
g10
NtRp65809
(dp65810
g13
Nsg14
Nsg15
VEuropean Environment Agency
p65811
sbg8
(g9
g10
NtRp65812
(dp65813
g13
Nsg14
Nsg15
VFALSE
p65814
sbNNNNNNNg8
(g9
g10
NtRp65815
(dp65816
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp65817
(dp65818
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp65819
(dp65820
g13
Nsg14
Nsg15
VLand_cover
p65821
sbg8
(g23
g10
NtRp65822
(dp65823
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer
p65824
sbg8
(g9
g10
NtRp65825
(dp65826
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imd_2005-2007
p65827
sbNNtp65828
a(g8
(g9
g10
NtRp65829
(dp65830
g13
Nsg14
Nsg15
V02580a02-cb8d-4474-95bb-4fdb30a50119
p65831
sbg8
(g9
g10
NtRp65832
(dp65833
g13
Nsg14
Nsg15
VUrbanSprawl_WUP_09
p65834
sbg8
(g9
g10
NtRp65835
(dp65836
g13
Nsg14
Nsg15
VWeighted Urban Proliferation (WUP) 2009 (LEAC Grid), Nov. 2016
p65837
sbNNg8
(g23
g10
NtRp65838
(dp65839
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p65840
sbNNg8
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g10
NtRp65841
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g13
Nsg14
Nsg15
VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).
p65843
sbNNg8
(g9
g10
NtRp65844
(dp65845
g13
Nsg14
Nsg15
VFALSE
p65846
sbNNNg8
(g9
g10
NtRp65847
(dp65848
g13
Nsg14
Nsg15
VFALSE
p65849
sbNNg8
(g9
g10
NtRp65850
(dp65851
g13
Nsg14
Nsg15
VFALSE
p65852
sbNNg8
(g9
g10
NtRp65853
(dp65854
g13
Nsg14
Nsg15
VFALSE
p65855
sbNg8
(g9
g10
NtRp65856
(dp65857
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/02580a02-cb8d-4474-95bb-4fdb30a50119.png
p65858
sbg8
(g9
g10
NtRp65859
(dp65860
g13
Nsg14
Nsg15
VEPSG:3035
p65861
sbg8
(g9
g10
NtRp65862
(dp65863
g13
Nsg14
Nsg15
V2019-06-04
p65864
sbNg8
(g9
g10
NtRp65865
(dp65866
g13
Nsg14
Nsg15
VBuildings|Land use|Population distribution \u2014 demography
p65867
sbg8
(g9
g10
NtRp65868
(dp65869
g13
Nsg14
Nsg15
Vbuilt environment|built-up area|urban sprawl|urbanisation
p65870
sbg8
(g9
g10
NtRp65871
(dp65872
g13
Nsg14
Nsg15
Vgrid
p65873
sbg8
(g9
g10
NtRp65874
(dp65875
g13
Nsg14
Nsg15
VGTiff
p65876
sbNg8
(g9
g10
NtRp65877
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g13
Nsg14
Nsg15
V1km
p65879
sbNg8
(g9
g10
NtRp65880
(dp65881
g13
Nsg14
Nsg15
VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p65882
sbg8
(g9
g10
NtRp65883
(dp65884
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02580a02-cb8d-4474-95bb-4fdb30a50119
p65885
sbg8
(g9
g10
NtRp65886
(dp65887
g13
Nsg14
g74
sg15
V2008
p65888
sbg8
(g9
g10
NtRp65889
(dp65890
g13
Nsg14
g74
sg15
V2011
p65891
sbg8
(g9
g10
NtRp65892
(dp65893
g13
Nsg14
Nsg15
VTRUE
p65894
sbg8
(g9
g10
NtRp65895
(dp65896
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|Switzerland|United Kingdom
p65897
sbg8
(g9
g10
NtRp65898
(dp65899
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p65900
sbg8
(g9
g10
NtRp65901
(dp65902
g13
Nsg14
Nsg15
VFALSE
p65903
sbg8
(g9
g10
NtRp65904
(dp65905
g13
Nsg14
Nsg15
VEuropean Environment Agency
p65906
sbg8
(g9
g10
NtRp65907
(dp65908
g13
Nsg14
Nsg15
VFALSE
p65909
sbNNNNNNNg8
(g9
g10
NtRp65910
(dp65911
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp65912
(dp65913
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp65914
(dp65915
g13
Nsg14
Nsg15
VUrban
p65916
sbg8
(g23
g10
NtRp65917
(dp65918
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2009y/MapServer
p65919
sbg8
(g9
g10
NtRp65920
(dp65921
g13
Nsg14
Nsg15
Veea_r_3035_1_km_wup2009_2008-2011
p65922
sbNNtp65923
a(g8
(g9
g10
NtRp65924
(dp65925
g13
Nsg14
Nsg15
V8bfbda74-7b62-4659-96dd-86600ea425a2
p65926
sbg8
(g9
g10
NtRp65927
(dp65928
g13
Nsg14
Nsg15
VTree_Cover_Density_20m_2015
p65929
sbg8
(g9
g10
NtRp65930
(dp65931
g13
Nsg14
Nsg15
VHigh Resolution Layer: Tree Cover Density 2015 (raster 20m), Mar. 2018
p65932
sbNNg8
(g23
g10
NtRp65933
(dp65934
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p65935
sbNNg8
(g9
g10
NtRp65936
(dp65937
g13
Nsg14
Nsg15
VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p65938
sbNNg8
(g9
g10
NtRp65939
(dp65940
g13
Nsg14
Nsg15
VFALSE
p65941
sbNNNg8
(g9
g10
NtRp65942
(dp65943
g13
Nsg14
Nsg15
VFALSE
p65944
sbNNg8
(g9
g10
NtRp65945
(dp65946
g13
Nsg14
Nsg15
VFALSE
p65947
sbNNg8
(g9
g10
NtRp65948
(dp65949
g13
Nsg14
Nsg15
VFALSE
p65950
sbNg8
(g9
g10
NtRp65951
(dp65952
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bfbda74-7b62-4659-96dd-86600ea425a2.png
p65953
sbg8
(g9
g10
NtRp65954
(dp65955
g13
Nsg14
Nsg15
VEPSG:3035
p65956
sbg8
(g9
g10
NtRp65957
(dp65958
g13
Nsg14
Nsg15
V2019-06-04
p65959
sbNg8
(g9
g10
NtRp65960
(dp65961
g13
Nsg14
Nsg15
VLand cover
p65962
sbg8
(g9
g10
NtRp65963
(dp65964
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p65965
sbg8
(g9
g10
NtRp65966
(dp65967
g13
Nsg14
Nsg15
Vgrid
p65968
sbg8
(g9
g10
NtRp65969
(dp65970
g13
Nsg14
Nsg15
VGTiff
p65971
sbNg8
(g9
g10
NtRp65972
(dp65973
g13
Nsg14
Nsg15
V20m
p65974
sbNg8
(g9
g10
NtRp65975
(dp65976
g13
Nsg14
Nsg15
VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p65977
sbg8
(g9
g10
NtRp65978
(dp65979
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bfbda74-7b62-4659-96dd-86600ea425a2
p65980
sbg8
(g9
g10
NtRp65981
(dp65982
g13
Nsg14
g74
sg15
V2014
p65983
sbg8
(g9
g10
NtRp65984
(dp65985
g13
Nsg14
g74
sg15
V2016
p65986
sbg8
(g9
g10
NtRp65987
(dp65988
g13
Nsg14
Nsg15
VTRUE
p65989
sbg8
(g9
g10
NtRp65990
(dp65991
g13
Nsg14
Nsg15
VEEA39
p65992
sbg8
(g9
g10
NtRp65993
(dp65994
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p65995
sbg8
(g9
g10
NtRp65996
(dp65997
g13
Nsg14
Nsg15
VFALSE
p65998
sbg8
(g9
g10
NtRp65999
(dp66000
g13
Nsg14
Nsg15
VEuropean Environment Agency
p66001
sbg8
(g9
g10
NtRp66002
(dp66003
g13
Nsg14
Nsg15
VFALSE
p66004
sbNNNNNNNg8
(g9
g10
NtRp66005
(dp66006
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66007
(dp66008
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66009
(dp66010
g13
Nsg14
Nsg15
VForest
p66011
sbg8
(g23
g10
NtRp66012
(dp66013
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer
p66014
sbg8
(g9
g10
NtRp66015
(dp66016
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_tcd_2014-2016
p66017
sbNNtp66018
a(g8
(g9
g10
NtRp66019
(dp66020
g13
Nsg14
Nsg15
V2a927809-44a9-46f0-ad90-a815e4d1b2f3
p66021
sbg8
(g9
g10
NtRp66022
(dp66023
g13
Nsg14
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VElevation_Breakdown_1km
p66024
sbg8
(g9
g10
NtRp66025
(dp66026
g13
Nsg14
Nsg15
VElevation Breakdown based on EU-DEM (resolution 1km), Dec. 2016
p66027
sbNNg8
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g10
NtRp66028
(dp66029
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_1km/MapServer/WMSServer?request=GetCapabilities&service=WMS
p66030
sbNNg8
(g9
g10
NtRp66031
(dp66032
g13
Nsg14
Nsg15
VGeneralisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM).\u000aThis layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.
p66033
sbNNg8
(g9
g10
NtRp66034
(dp66035
g13
Nsg14
Nsg15
VFALSE
p66036
sbNNNg8
(g9
g10
NtRp66037
(dp66038
g13
Nsg14
Nsg15
VFALSE
p66039
sbNNg8
(g9
g10
NtRp66040
(dp66041
g13
Nsg14
Nsg15
VFALSE
p66042
sbNNg8
(g9
g10
NtRp66043
(dp66044
g13
Nsg14
Nsg15
VFALSE
p66045
sbNg8
(g9
g10
NtRp66046
(dp66047
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a927809-44a9-46f0-ad90-a815e4d1b2f3.png
p66048
sbg8
(g9
g10
NtRp66049
(dp66050
g13
Nsg14
Nsg15
VEPSG:3035
p66051
sbg8
(g9
g10
NtRp66052
(dp66053
g13
Nsg14
Nsg15
V2019-06-04
p66054
sbNg8
(g9
g10
NtRp66055
(dp66056
g13
Nsg14
Nsg15
VElevation
p66057
sbg8
(g9
g10
NtRp66058
(dp66059
g13
Nsg14
Nsg15
Vland cover
p66060
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Nsg15
Vgrid
p66063
sbg8
(g9
g10
NtRp66064
(dp66065
g13
Nsg14
Nsg15
VGTiff
p66066
sbNg8
(g9
g10
NtRp66067
(dp66068
g13
Nsg14
Nsg15
V1km
p66069
sbNg8
(g9
g10
NtRp66070
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g13
Nsg14
Nsg15
VGeneralisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM), which was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains.\u000a\u000aInput layers include: \u000a- EUDEM resampled to 100m (derived from EU-DEM 25m)\u000a- Coastline and reference mask, provided by GISAT.\u000aDetailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).
p66072
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g10
NtRp66073
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a927809-44a9-46f0-ad90-a815e4d1b2f3
p66075
sbg8
(g9
g10
NtRp66076
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g13
Nsg14
g74
sg15
V2012
p66078
sbg8
(g9
g10
NtRp66079
(dp66080
g13
Nsg14
g74
sg15
V2012
p66081
sbg8
(g9
g10
NtRp66082
(dp66083
g13
Nsg14
Nsg15
VFALSE
p66084
sbg8
(g9
g10
NtRp66085
(dp66086
g13
Nsg14
Nsg15
VEEA32
p66087
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g10
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g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p66090
sbg8
(g9
g10
NtRp66091
(dp66092
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Nsg14
Nsg15
VFALSE
p66093
sbg8
(g9
g10
NtRp66094
(dp66095
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Nsg14
Nsg15
VEuropean Environment Agency
p66096
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(g9
g10
NtRp66097
(dp66098
g13
Nsg14
Nsg15
VFALSE
p66099
sbNNNNNNNg8
(g9
g10
NtRp66100
(dp66101
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66102
(dp66103
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66104
(dp66105
g13
Nsg14
Nsg15
VTopography
p66106
sbg8
(g23
g10
NtRp66107
(dp66108
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_1km/MapServer
p66109
sbg8
(g9
g10
NtRp66110
(dp66111
g13
Nsg14
Nsg15
Veea_r_3035_1_km_ebk-eudem_2012
p66112
sbNNtp66113
a(g8
(g9
g10
NtRp66114
(dp66115
g13
Nsg14
Nsg15
V1e457489-c4bd-4247-87ff-346020c4c87f
p66116
sbg8
(g9
g10
NtRp66117
(dp66118
g13
Nsg14
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VForest_Fragmentation_Carpathians
p66119
sbg8
(g9
g10
NtRp66120
(dp66121
g13
Nsg14
Nsg15
VForest fragmentation in Carpathians (KEO), Oct. 2016
p66122
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NtRp66123
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestFragmentationCarpathians2015/MapServer/WMSServer?request=GetCapabilities&service=WMS
p66125
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Nsg14
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VThe forest fragmentation dataset detects and describes the geometry and the connectivity of forests coverage. This dataset, developed based on the methodology of the European study "Forest landscape in Europe: Pattern, Fragmentation, and connectivity" (Estreguil et al., 2012), has been calculated for the Carpathian forest included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication "Europe´s ecological backbone: recognising the true value of our mountains".
p66128
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(g9
g10
NtRp66129
(dp66130
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Nsg14
Nsg15
VFALSE
p66131
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Nsg14
Nsg15
VFALSE
p66134
sbNNg8
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g10
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Nsg14
Nsg15
VFALSE
p66137
sbNNg8
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g10
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VFALSE
p66140
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g10
NtRp66141
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e457489-c4bd-4247-87ff-346020c4c87f.png
p66143
sbg8
(g9
g10
NtRp66144
(dp66145
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Nsg15
VEPSG:3035
p66146
sbg8
(g9
g10
NtRp66147
(dp66148
g13
Nsg14
Nsg15
V2019-06-04
p66149
sbNg8
(g9
g10
NtRp66150
(dp66151
g13
Nsg14
Nsg15
VLand cover
p66152
sbg8
(g9
g10
NtRp66153
(dp66154
g13
Nsg14
Nsg15
Vforest|land cover
p66155
sbg8
(g9
g10
NtRp66156
(dp66157
g13
Nsg14
Nsg15
Vgrid
p66158
sbg8
(g9
g10
NtRp66159
(dp66160
g13
Nsg14
Nsg15
VGTiff
p66161
sbNg8
(g9
g10
NtRp66162
(dp66163
g13
Nsg14
Nsg15
V100m
p66164
sbNg8
(g9
g10
NtRp66165
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Nsg14
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VThe indicator on the morphological structure of forests has been obtained with the application of the modelling tool namely GUIDOS toolbox (Vogt, 2013),  within the forest coverage of Carpathians area obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA).\u000a\u000aThe resulting map provides with the calculation of a Morphological Spatial Pattern Analysis (MSPA) which determines the geometry and connectivity of the forest areas in the KEO. Several parameters can be calculated using this tool including the core area of forests, the islets within forests, the loop areas within a forest (being the areas that are connected from different sides to the same forest core area), the bridges within forests (being connected to forest core from different places and to different core areas within a forest), the forest perforation being the internal foreground forest perimeter, and the forest edge being the external foreground forest perimeter, and the forest branches being connected to any of the previous morphological parameters but not to the core of a forest.\u000a\u000aMore details on the creation of this indicator are available in the final report "ETCULS1835_RegionalCoperation_CarpathiansReport.pdf".\u000aThe document "ForestFragmentation.docx" also available for download provides additional information on the quality assurance checks performed on the dataset.\u000a\u000aReferences:\u000aVogt, P. (2013). GUIDOS: tools for the assessment of pattern, connectivity, and fragmentation. Geophysical\u000aResearch Abstracts, 15.
p66167
sbg8
(g9
g10
NtRp66168
(dp66169
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e457489-c4bd-4247-87ff-346020c4c87f
p66170
sbg8
(g9
g10
NtRp66171
(dp66172
g13
Nsg14
g74
sg15
V2015
p66173
sbg8
(g9
g10
NtRp66174
(dp66175
g13
Nsg14
g74
sg15
V2015
p66176
sbg8
(g9
g10
NtRp66177
(dp66178
g13
Nsg14
Nsg15
VFALSE
p66179
sbg8
(g9
g10
NtRp66180
(dp66181
g13
Nsg14
Nsg15
VCzechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine
p66182
sbg8
(g9
g10
NtRp66183
(dp66184
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p66185
sbg8
(g9
g10
NtRp66186
(dp66187
g13
Nsg14
Nsg15
VFALSE
p66188
sbg8
(g9
g10
NtRp66189
(dp66190
g13
Nsg14
Nsg15
VEuropean Environment Agency
p66191
sbg8
(g9
g10
NtRp66192
(dp66193
g13
Nsg14
Nsg15
VFALSE
p66194
sbNNNNNNNg8
(g9
g10
NtRp66195
(dp66196
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66197
(dp66198
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66199
(dp66200
g13
Nsg14
Nsg15
VForest
p66201
sbg8
(g23
g10
NtRp66202
(dp66203
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestFragmentationCarpathians2015/MapServer
p66204
sbg8
(g9
g10
NtRp66205
(dp66206
g13
Nsg14
Nsg15
Veea_r_3035_100_m_forest-fragm-keo_2015
p66207
sbNNtp66208
a(g8
(g9
g10
NtRp66209
(dp66210
g13
Nsg14
Nsg15
V0827ac40-6a01-4ae7-84fe-7f88180c3e2b
p66211
sbg8
(g9
g10
NtRp66212
(dp66213
g13
Nsg14
Nsg15
VCLC_accounting_1990
p66214
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(g9
g10
NtRp66215
(dp66216
g13
Nsg14
Nsg15
VCorine Land Cover 1990 (raster 100m) version 18.5 accounting layer, Mar. 2017
p66217
sbNNg8
(g23
g10
NtRp66218
(dp66219
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/CLC1990_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
p66220
sbNNg8
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g10
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Nsg14
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VCORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012).  \u000aTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\u000aThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Harmonized CLC_ new status \u2013 Harmonized CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Harmonized CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\u000aCLC1990 was the first CORINE Land Cover inventory and lasted for 10 years. Photo-Interpretation mostly done on plastic overlay. Field checking was an integral part of the work. The basic parameters of the project (25 ha minimum mapping unit, 100 m minimum mapping width and the European level-3 nomenclature) tested. These are used consistently in all subsequent inventories.
p66223
sbNNg8
(g9
g10
NtRp66224
(dp66225
g13
Nsg14
Nsg15
VFALSE
p66226
sbNNNg8
(g9
g10
NtRp66227
(dp66228
g13
Nsg14
Nsg15
VFALSE
p66229
sbNNg8
(g9
g10
NtRp66230
(dp66231
g13
Nsg14
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VFALSE
p66232
sbNNg8
(g9
g10
NtRp66233
(dp66234
g13
Nsg14
Nsg15
VFALSE
p66235
sbNg8
(g9
g10
NtRp66236
(dp66237
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0827ac40-6a01-4ae7-84fe-7f88180c3e2b.png
p66238
sbg8
(g9
g10
NtRp66239
(dp66240
g13
Nsg14
Nsg15
VEPSG:3035
p66241
sbg8
(g9
g10
NtRp66242
(dp66243
g13
Nsg14
Nsg15
V2019-06-04
p66244
sbNg8
(g9
g10
NtRp66245
(dp66246
g13
Nsg14
Nsg15
VLand cover
p66247
sbg8
(g9
g10
NtRp66248
(dp66249
g13
Nsg14
Nsg15
Vaccounting|land cover
p66250
sbg8
(g9
g10
NtRp66251
(dp66252
g13
Nsg14
Nsg15
Vgrid
p66253
sbg8
(g9
g10
NtRp66254
(dp66255
g13
Nsg14
Nsg15
VGTiff
p66256
sbNg8
(g9
g10
NtRp66257
(dp66258
g13
Nsg14
Nsg15
V100m
p66259
sbNg8
(g9
g10
NtRp66260
(dp66261
g13
Nsg14
Nsg15
VVector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\u000aAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \u000aMethodology of harmonization to create CLC accounting layers:\u000aThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\u000aCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\u000aAdditional criteria of the realization were:\u000a(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\u000a(2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012.\u000aBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\u000a(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\u000a(1a) Overwrite CLC2012 with  first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\u000a(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\u000a(2) Create CLC2006 accounting layer by including consumption information  (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\u000a(3) Create CLC2000 accounting layer by including consumption information  (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\u000a(4)	Create CLC1990 accounting layer by including consumption information  (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\u000aThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).
p66262
sbg8
(g9
g10
NtRp66263
(dp66264
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0827ac40-6a01-4ae7-84fe-7f88180c3e2b
p66265
sbg8
(g9
g10
NtRp66266
(dp66267
g13
Nsg14
g74
sg15
V1986
p66268
sbg8
(g9
g10
NtRp66269
(dp66270
g13
Nsg14
g74
sg15
V1998
p66271
sbg8
(g9
g10
NtRp66272
(dp66273
g13
Nsg14
Nsg15
VTRUE
p66274
sbg8
(g9
g10
NtRp66275
(dp66276
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
p66277
sbg8
(g9
g10
NtRp66278
(dp66279
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p66280
sbg8
(g9
g10
NtRp66281
(dp66282
g13
Nsg14
Nsg15
VFALSE
p66283
sbg8
(g9
g10
NtRp66284
(dp66285
g13
Nsg14
Nsg15
VEuropean Environment Agency
p66286
sbg8
(g9
g10
NtRp66287
(dp66288
g13
Nsg14
Nsg15
VFALSE
p66289
sbNNNNNNNg8
(g9
g10
NtRp66290
(dp66291
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66292
(dp66293
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp66294
(dp66295
g13
Nsg14
Nsg15
VLand_cover
p66296
sbg8
(g23
g10
NtRp66297
(dp66298
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC1990_acc_WM/MapServer
p66299
sbg8
(g9
g10
NtRp66300
(dp66301
g13
Nsg14
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Veea_r_3035_100_m_clc1990-acc_1986-1998
p66302
sbNNtp66303
a(g8
(g9
g10
NtRp66304
(dp66305
g13
Nsg14
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V264d4e20-de6d-4f88-b1be-b592303452af
p66306
sbg8
(g9
g10
NtRp66307
(dp66308
g13
Nsg14
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VTree_Cover_Density_100m_2015
p66309
sbg8
(g9
g10
NtRp66310
(dp66311
g13
Nsg14
Nsg15
VHigh Resolution Layer: Tree Cover Density 2015 (raster 100m), Mar. 2018
p66312
sbNNg8
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g10
NtRp66313
(dp66314
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p66315
sbNNg8
(g9
g10
NtRp66316
(dp66317
g13
Nsg14
Nsg15
VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p66318
sbNNg8
(g9
g10
NtRp66319
(dp66320
g13
Nsg14
Nsg15
VFALSE
p66321
sbNNNg8
(g9
g10
NtRp66322
(dp66323
g13
Nsg14
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VFALSE
p66324
sbNNg8
(g9
g10
NtRp66325
(dp66326
g13
Nsg14
Nsg15
VFALSE
p66327
sbNNg8
(g9
g10
NtRp66328
(dp66329
g13
Nsg14
Nsg15
VFALSE
p66330
sbNg8
(g9
g10
NtRp66331
(dp66332
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/264d4e20-de6d-4f88-b1be-b592303452af.png
p66333
sbg8
(g9
g10
NtRp66334
(dp66335
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VEPSG:3035
p66336
sbg8
(g9
g10
NtRp66337
(dp66338
g13
Nsg14
Nsg15
V2019-06-04
p66339
sbNg8
(g9
g10
NtRp66340
(dp66341
g13
Nsg14
Nsg15
VLand cover
p66342
sbg8
(g9
g10
NtRp66343
(dp66344
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p66345
sbg8
(g9
g10
NtRp66346
(dp66347
g13
Nsg14
Nsg15
Vgrid
p66348
sbg8
(g9
g10
NtRp66349
(dp66350
g13
Nsg14
Nsg15
VGTiff
p66351
sbNg8
(g9
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/264d4e20-de6d-4f88-b1be-b592303452af
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VTRUE
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p66375
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p66378
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VForest
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VImperviousness_Change_20m_2009-2012
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VHigh Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 20m), Apr. 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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V2019-06-04
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VLand cover
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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V20m
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53eb2a55-4537-41ef-938f-603a52a5eb39
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V2008
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p66470
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VFALSE
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VEuropean Environment Agency
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p66479
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V
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer
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Vcopernicus_r_3035_20_m_imdc_2008-2013
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V566e36ae-2620-4d75-9b2e-51d70ab561ac
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VUrbanSprawl_UD_06
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VUtilisation Density (UD) 2006 (LEAC Grid), Nov. 2016
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aBesides WUP and its components, the other indicator was calculated:\u000aUtilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.
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VBuildings|Land use|Population distribution \u2014 demography
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Vbuilt environment|built-up area|urban sprawl|urbanisation
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V1km
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p66547
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VTRUE
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VBulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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VCORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012).  \u000aTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\u000aThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\u000aCLC2012 is the fourth CORINE Land Cover inventory and took three years to finalize. A dual coverage of satellite images were used. Computer Assisted Photo-Interpretation (CAPI) was the dominating mapping technology. The number of countries using advanced (bottom-up) solutions has slightly increased. All of the EEA39 countries have participated within the official lifetime of the project.
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VVector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\u000aAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \u000aMethodology of harmonization to create CLC accounting layers:\u000aThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\u000aCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\u000aAdditional criteria of the realization were:\u000a(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\u000a(2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012.\u000aBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\u000a(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\u000a(1a) Overwrite CLC2012 with  first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\u000a(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\u000a(2) Create CLC2006 accounting layer by including consumption information  (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\u000a(3) Create CLC2000 accounting layer by including consumption information  (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\u000a(4) Create CLC1990 accounting layer by including consumption information  (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\u000aThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6f6abc04-cedc-463d-8536-6f459c26293d
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V2011
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V2012
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VTRUE
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p66660
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VFALSE
p66663
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VEuropean Environment Agency
p66666
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VFALSE
p66669
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V
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V
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VLand_cover
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2012_acc_WM/MapServer
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Veea_r_3035_100_m_clc2012-acc_2011-2012
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V91687ef2-f907-4f84-81f7-c9c81980c306
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VTree_Cover_Density_20m_2012
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VHigh Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/91687ef2-f907-4f84-81f7-c9c81980c306.png
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V2019-07-19
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VLand cover
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Vforest management|land cover|land use|landscape alteration
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Vgrid
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V20m
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. \u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91687ef2-f907-4f84-81f7-c9c81980c306
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V2011
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V2013
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VTRUE
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p66755
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VFALSE
p66758
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VEuropean Environment Agency
p66761
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VFALSE
p66764
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V
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V
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VForest
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer
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Vcopernicus_r_3035_20_m_tcd_2011-2013
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V228e9bf2-0b81-4506-ab72-d42dd2ad19b6
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VCLC_reference_grid
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VCLC 2012 reference land mask (resolution 100m), Jan. 2017
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Background/CLC2012_v_18_5_land_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe CLC2012 land mask is a dataset derived from CLC2012 intended to be used as a reference dataset for data harmonisation within the EEA. It is a mask where all pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".
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VFALSE
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VFALSE
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V2019-06-04
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VLand cover
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Vland cover
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V100m
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VCreated from CLC2012 v 18_5 raster 100m data, by means of a reclassification in ArcGIS. All pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/228e9bf2-0b81-4506-ab72-d42dd2ad19b6
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V2016
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V2016
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VFALSE
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VEuropean Environment Agency
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VNutrient_input_to_agroecosystems
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VTotal nutrient input to agroecosystems 2010, Feb. 2015
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VThe total nitrogen input to agricultural soils for the year 2010 is represented in kgN/ha/yr at a 1 km resolution. \u000aNitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details).\u000aThe geographic coverage is EU27.
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p66891
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p66894
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p66897
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VEPSG:3035
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Vgrid
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VGeoTiff
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V1km
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VRefer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description.\u000aFor the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus.\u000aThe following input data is used (Model inputs EEA Nutrient accounts)\u000a1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data;\u000a2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km.\u000a3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI.\u000a4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to.\u000a5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster.\u000a6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included.\u000a7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km.\u000a8) Total P deposition levels: Not included\u000a9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km.\u000a10) N and P contents in crops: Country-specific N and P contents for major crop groups.\u000a\u000aThe document "eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport" provides additional information on the quality assurance checks performed on the dataset.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Vhttps://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Nitrogen_Input_to_agroecosystems/MapServer
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VThis dataset shows the increase/decrease of nitrogen input (kg/ha/yr) to agricultural soils comparing the year 2000 with the trend value 2000-2005 at 1 km resolution. Increase takes place where the trend value is higher than the reference value in 2000. Decrease is mapped when the trend value is lower than the value in 2000. \u000aNitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details).\u000aThe geographic coverage is EU27.
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V2019-06-04
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VHuman health and safety|Land cover|Soil
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VRefer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description.\u000aFor the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus.\u000aThe following input data is used (Model inputs EEA Nutrient accounts)\u000a1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data;\u000a2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km.\u000a3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI.\u000a4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to.\u000a5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster.\u000a6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included.\u000a7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km.\u000a8) Total P deposition levels: Not included\u000a9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km.\u000a10) N and P contents in crops: Country-specific N and P contents for major crop groups.\u000a\u000aThe document "eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport.docx" provides additional information on the quality assurance checks performed on the dataset.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5660741b-2e9a-401d-8ff2-5162d75fc05d
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VCLC_accounting_2006
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VCorine Land Cover 2006 (raster 100m) version 18.5 accounting layer, Mar. 2017
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Vhttp://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2006_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VCORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012).  \u000aTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\u000aThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\u000aCLC2006 was the third CORINE Land Cover inventory and needed three years to be accomplished. Instead of a single imagery, a dual coverage of satellite images were used. The methodology of mapping changes was consolidated. Dominating mapping technology was the Computer Assisted Photo-Interpretation (CAPI). Advanced (less human work intensive) solutions appeared in some countries. All but one of the EEA39 countries have participated within the official lifetime of the project. Greece accomplished CLC2006 later, at the time of the CLC2012. CLC2006 was replaced by CLC2006_revised, if the country has produced this during the implementation of CLC2012 and delivered to EEA. If the CLC2006_revised layer did not exist for the country, the original CLC2006 was used in the final European mosaic.
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VEPSG:3035
p67096
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V2019-06-04
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VLand cover
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V100m
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VVector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\u000aAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \u000aMethodology of harmonization to create CLC accounting layers:\u000aThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\u000aCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\u000aAdditional criteria of the realization were:\u000a(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\u000a(2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012.\u000aBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\u000a(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\u000a(1a) Overwrite CLC2012 with  first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\u000a(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\u000a(2) Create CLC2006 accounting layer by including consumption information  (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\u000a(3) Create CLC2000 accounting layer by including consumption information  (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\u000a(4) Create CLC1990 accounting layer by including consumption information  (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\u000aThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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VLand Uptake per Person (inhabitants and jobs) (LUP) 2009 (LEAC Grid), Nov. 2016
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VThe new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aLand uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.
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g13
Nsg14
Nsg15
VFALSE
p67182
sbNNg8
(g9
g10
NtRp67183
(dp67184
g13
Nsg14
Nsg15
VFALSE
p67185
sbNg8
(g9
g10
NtRp67186
(dp67187
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f.png
p67188
sbg8
(g9
g10
NtRp67189
(dp67190
g13
Nsg14
Nsg15
VEPSG:3035
p67191
sbg8
(g9
g10
NtRp67192
(dp67193
g13
Nsg14
Nsg15
V2019-06-04
p67194
sbNg8
(g9
g10
NtRp67195
(dp67196
g13
Nsg14
Nsg15
VBuildings|Land use|Population distribution \u2014 demography
p67197
sbg8
(g9
g10
NtRp67198
(dp67199
g13
Nsg14
Nsg15
Vbuilt environment|built-up area|inhabitant|urban sprawl|urbanisation
p67200
sbg8
(g9
g10
NtRp67201
(dp67202
g13
Nsg14
Nsg15
Vgrid
p67203
sbg8
(g9
g10
NtRp67204
(dp67205
g13
Nsg14
Nsg15
VGTiff
p67206
sbNg8
(g9
g10
NtRp67207
(dp67208
g13
Nsg14
Nsg15
V1k
p67209
sbNg8
(g9
g10
NtRp67210
(dp67211
g13
Nsg14
Nsg15
VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
p67212
sbg8
(g9
g10
NtRp67213
(dp67214
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f
p67215
sbg8
(g9
g10
NtRp67216
(dp67217
g13
Nsg14
g74
sg15
V2008
p67218
sbg8
(g9
g10
NtRp67219
(dp67220
g13
Nsg14
g74
sg15
V2011
p67221
sbg8
(g9
g10
NtRp67222
(dp67223
g13
Nsg14
Nsg15
VTRUE
p67224
sbg8
(g9
g10
NtRp67225
(dp67226
g13
Nsg14
Nsg15
VEFTA4|EU28
p67227
sbg8
(g9
g10
NtRp67228
(dp67229
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p67230
sbg8
(g9
g10
NtRp67231
(dp67232
g13
Nsg14
Nsg15
VFALSE
p67233
sbg8
(g9
g10
NtRp67234
(dp67235
g13
Nsg14
Nsg15
VEuropean Environment Agency
p67236
sbg8
(g9
g10
NtRp67237
(dp67238
g13
Nsg14
Nsg15
VFALSE
p67239
sbNNNNNNNg8
(g9
g10
NtRp67240
(dp67241
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67242
(dp67243
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67244
(dp67245
g13
Nsg14
Nsg15
VUrban
p67246
sbg8
(g23
g10
NtRp67247
(dp67248
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2009y/MapServer
p67249
sbg8
(g9
g10
NtRp67250
(dp67251
g13
Nsg14
Nsg15
Veea_r_3035_1_km_lup2009_2008-2011
p67252
sbNNtp67253
a(g8
(g9
g10
NtRp67254
(dp67255
g13
Nsg14
Nsg15
V894c9189-b35f-4ced-8bd2-12ed6b72fa4c
p67256
sbg8
(g9
g10
NtRp67257
(dp67258
g13
Nsg14
Nsg15
VForest_Type_20m_2012
p67259
sbg8
(g9
g10
NtRp67260
(dp67261
g13
Nsg14
Nsg15
VHigh Resolution Layer: Forest Type 2012 (raster 20m), Apr. 2018
p67262
sbNNg8
(g23
g10
NtRp67263
(dp67264
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/DownloadLayers/HRL_FTY_2012_DL/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p67265
sbNNg8
(g9
g10
NtRp67266
(dp67267
g13
Nsg14
Nsg15
VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p67268
sbNNg8
(g9
g10
NtRp67269
(dp67270
g13
Nsg14
Nsg15
VFALSE
p67271
sbNNNg8
(g9
g10
NtRp67272
(dp67273
g13
Nsg14
Nsg15
VFALSE
p67274
sbNNg8
(g9
g10
NtRp67275
(dp67276
g13
Nsg14
Nsg15
VFALSE
p67277
sbNNg8
(g9
g10
NtRp67278
(dp67279
g13
Nsg14
Nsg15
VFALSE
p67280
sbNg8
(g9
g10
NtRp67281
(dp67282
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/894c9189-b35f-4ced-8bd2-12ed6b72fa4c.png
p67283
sbg8
(g9
g10
NtRp67284
(dp67285
g13
Nsg14
Nsg15
VEPSG:3035
p67286
sbg8
(g9
g10
NtRp67287
(dp67288
g13
Nsg14
Nsg15
V2019-06-04
p67289
sbNg8
(g9
g10
NtRp67290
(dp67291
g13
Nsg14
Nsg15
VLand cover
p67292
sbg8
(g9
g10
NtRp67293
(dp67294
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p67295
sbg8
(g9
g10
NtRp67296
(dp67297
g13
Nsg14
Nsg15
Vgrid
p67298
sbg8
(g9
g10
NtRp67299
(dp67300
g13
Nsg14
Nsg15
VGTiff
p67301
sbNg8
(g9
g10
NtRp67302
(dp67303
g13
Nsg14
Nsg15
V20m
p67304
sbNg8
(g9
g10
NtRp67305
(dp67306
g13
Nsg14
Nsg15
VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. Thus, the derived Forest Type (FTY) product is largely following the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p67307
sbg8
(g9
g10
NtRp67308
(dp67309
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/894c9189-b35f-4ced-8bd2-12ed6b72fa4c
p67310
sbg8
(g9
g10
NtRp67311
(dp67312
g13
Nsg14
g74
sg15
V2011
p67313
sbg8
(g9
g10
NtRp67314
(dp67315
g13
Nsg14
g74
sg15
V2013
p67316
sbg8
(g9
g10
NtRp67317
(dp67318
g13
Nsg14
Nsg15
VTRUE
p67319
sbg8
(g9
g10
NtRp67320
(dp67321
g13
Nsg14
Nsg15
VEEA39
p67322
sbg8
(g9
g10
NtRp67323
(dp67324
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p67325
sbg8
(g9
g10
NtRp67326
(dp67327
g13
Nsg14
Nsg15
VFALSE
p67328
sbg8
(g9
g10
NtRp67329
(dp67330
g13
Nsg14
Nsg15
VEuropean Environment Agency
p67331
sbg8
(g9
g10
NtRp67332
(dp67333
g13
Nsg14
Nsg15
VFALSE
p67334
sbNNNNNNNg8
(g9
g10
NtRp67335
(dp67336
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67337
(dp67338
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67339
(dp67340
g13
Nsg14
Nsg15
VForest
p67341
sbg8
(g23
g10
NtRp67342
(dp67343
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer
p67344
sbg8
(g9
g10
NtRp67345
(dp67346
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_fty_2011-2013
p67347
sbNNtp67348
a(g8
(g9
g10
NtRp67349
(dp67350
g13
Nsg14
Nsg15
Vb728f391-3aaf-4fb4-a3d4-ecdf25ac9534
p67351
sbg8
(g9
g10
NtRp67352
(dp67353
g13
Nsg14
Nsg15
VLEAC_reference_grid
p67354
sbg8
(g9
g10
NtRp67355
(dp67356
g13
Nsg14
Nsg15
VLEAC CLC2012 version 18.5 reference mask (resolution 1km), Jan. 2017
p67357
sbNNg8
(g23
g10
NtRp67358
(dp67359
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS
p67360
sbNNg8
(g9
g10
NtRp67361
(dp67362
g13
Nsg14
Nsg15
VThe LEAC mask at 1 km x 1 km is a dataset derived from CLC2012 used as the reference mask for accounting purposes within the EEA. It is a mask where all 1 km x 1 km cells (in line with the European reference Grid) with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".
p67363
sbNNg8
(g9
g10
NtRp67364
(dp67365
g13
Nsg14
Nsg15
VFALSE
p67366
sbNNNg8
(g9
g10
NtRp67367
(dp67368
g13
Nsg14
Nsg15
VFALSE
p67369
sbNNg8
(g9
g10
NtRp67370
(dp67371
g13
Nsg14
Nsg15
VFALSE
p67372
sbNNg8
(g9
g10
NtRp67373
(dp67374
g13
Nsg14
Nsg15
VFALSE
p67375
sbNg8
(g9
g10
NtRp67376
(dp67377
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534.png
p67378
sbg8
(g9
g10
NtRp67379
(dp67380
g13
Nsg14
Nsg15
VEPSG:3035
p67381
sbg8
(g9
g10
NtRp67382
(dp67383
g13
Nsg14
Nsg15
V2019-06-04
p67384
sbNg8
(g9
g10
NtRp67385
(dp67386
g13
Nsg14
Nsg15
VLand cover
p67387
sbg8
(g9
g10
NtRp67388
(dp67389
g13
Nsg14
Nsg15
Vland cover
p67390
sbg8
(g9
g10
NtRp67391
(dp67392
g13
Nsg14
Nsg15
Vgrid
p67393
sbg8
(g9
g10
NtRp67394
(dp67395
g13
Nsg14
Nsg15
VGTiff
p67396
sbNg8
(g9
g10
NtRp67397
(dp67398
g13
Nsg14
Nsg15
V1km
p67399
sbNg8
(g9
g10
NtRp67400
(dp67401
g13
Nsg14
Nsg15
VCreated from CLC2012 v 18_5 raster 100m data and the European reference Grid. By means of an overlay, the grid cells containing CLC data (land) are selected. They are eventually rasterised and given a value of 1 (within the mask) in contrast with the value 0 (out of the mask).
p67402
sbg8
(g9
g10
NtRp67403
(dp67404
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534
p67405
sbg8
(g9
g10
NtRp67406
(dp67407
g13
Nsg14
g74
sg15
V2016
p67408
sbg8
(g9
g10
NtRp67409
(dp67410
g13
Nsg14
g74
sg15
V2016
p67411
sbg8
(g9
g10
NtRp67412
(dp67413
g13
Nsg14
Nsg15
VFALSE
p67414
sbg8
(g9
g10
NtRp67415
(dp67416
g13
Nsg14
Nsg15
VEEA32
p67417
sbg8
(g9
g10
NtRp67418
(dp67419
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p67420
sbg8
(g9
g10
NtRp67421
(dp67422
g13
Nsg14
Nsg15
VFALSE
p67423
sbg8
(g9
g10
NtRp67424
(dp67425
g13
Nsg14
Nsg15
VEuropean Environment Agency
p67426
sbg8
(g9
g10
NtRp67427
(dp67428
g13
Nsg14
Nsg15
VFALSE
p67429
sbNNNNNNNg8
(g9
g10
NtRp67430
(dp67431
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67432
(dp67433
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp67434
(dp67435
g13
Nsg14
Nsg15
VReference_dataset
p67436
sbg8
(g23
g10
NtRp67437
(dp67438
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer
p67439
sbg8
(g9
g10
NtRp67440
(dp67441
g13
Nsg14
Nsg15
Veea_r_3035_1_km_leac-clc2012-mask_p_2016_v01_r00
p67442
sbNNtp67443
a(g8
(g9
g10
NtRp67444
(dp67445
g13
Nsg14
Nsg15
V0c925f24-663d-4e29-8630-da61a8673368
p67446
sbg8
(g9
g10
NtRp67447
(dp67448
g13
Nsg14
Nsg15
VUrbanSprawl_PBA_09
p67449
sbg8
(g9
g10
NtRp67450
(dp67451
g13
Nsg14
Nsg15
VPercentage of Built-up Area (PBA) 2009 (LEAC Grid), Nov. 2016
p67452
sbNNg8
(g23
g10
NtRp67453
(dp67454
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS
p67455
sbNNg8
(g9
g10
NtRp67456
(dp67457
g13
Nsg14
Nsg15
VPercentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape).\u000aPBA is a component of the new urban sprawl metric, named "Weighted Urban Proliferation\u201c (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\u000aWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\u000aValues for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape.\u000aThe PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.
p67458
sbNNg8
(g9
g10
NtRp67459
(dp67460
g13
Nsg14
Nsg15
VFALSE
p67461
sbNNNg8
(g9
g10
NtRp67462
(dp67463
g13
Nsg14
Nsg15
VFALSE
p67464
sbNNg8
(g9
g10
NtRp67465
(dp67466
g13
Nsg14
Nsg15
VFALSE
p67467
sbNNg8
(g9
g10
NtRp67468
(dp67469
g13
Nsg14
Nsg15
VFALSE
p67470
sbNg8
(g9
g10
NtRp67471
(dp67472
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c925f24-663d-4e29-8630-da61a8673368.png
p67473
sbg8
(g9
g10
NtRp67474
(dp67475
g13
Nsg14
Nsg15
VEPSG:3035
p67476
sbg8
(g9
g10
NtRp67477
(dp67478
g13
Nsg14
Nsg15
V2019-06-04
p67479
sbNg8
(g9
g10
NtRp67480
(dp67481
g13
Nsg14
Nsg15
VBuildings|Land use|Population distribution \u2014 demography
p67482
sbg8
(g9
g10
NtRp67483
(dp67484
g13
Nsg14
Nsg15
Vbuilt environment|built-up area|urban sprawl|urbanisation
p67485
sbg8
(g9
g10
NtRp67486
(dp67487
g13
Nsg14
Nsg15
Vgrid
p67488
sbg8
(g9
g10
NtRp67489
(dp67490
g13
Nsg14
Nsg15
VGTiff
p67491
sbNg8
(g9
g10
NtRp67492
(dp67493
g13
Nsg14
Nsg15
V1000m
p67494
sbNg8
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VThe mapping computation steps are:\u000a1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\u000a2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\u000a3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\u000a4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html
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VTRUE
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V100m
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p67610
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VFALSE
p67613
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VHigh Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2018
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Imperviousness_Density_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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p67651
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe administrative boundaries from the different sources have been merged and then rasterized at 100 m resolution to fully cover the extent of the CLC land mask. Source data used are: GISCO for the official NUTS countries 2016, EuroBoundaryMap version 12.0 (for the EEA39 countries not available in GISCO dataset, being Bosnia and Herzegovina, Albania, Montenegro, Kosovo, Gibraltar, Isle of Man, Jersey and Guernsey) and Economic Exclusive Zone version 10.0 for assigning a country value to those coastal water pixels available in CLC but not defined by the other source products used.\u000aThe spatial extent and grid size of the resulting raster is matching with the CLC land mask v18.5 [CLC 2012 reference land mask (resolution 100m), Apr. 2016].\u000aThe lookup table[AdmBound_EEA39_lookup.csv] can be linked joining the attribute \u201cID_ADM\u201d with the raster \u201cvalue\u201d.\u000aThe table details code and label for NUTS, 3, 2, 1 and 0 levels.\u000aSea pixels are derived at NUTS0 level (and replicated for the other levels), defined as [code_country] + "_SEA" (e.g. ES_SEA)\u000aDisputed sea areas are defined as [code_country1]+[code_country2] + "_SEA"\u000aDisputed land areas are defined as "No Country", with ADM_ID = 8888\u000aIn the same way, countries which are not part of the EEA39 but are available in CLC (San Marino, Vatican) are defined as "No Country", with ADM_ID = 8888.\u000aThe "TAA" code and "TAA_DESN" description fields help in differentiate pixels among "Land Area", "Inland Water", Coastal Water, "Special Area" and "No Country" values.\u000aThe attribute table has a column for each country group (see list below), with Boolean value (e. 1/0) to facilitate the selection.\u000aEEA39: EEA33 + EEA cooperating countries (Albania, Bosnia and Herzegovina, the North Macedonia, Montenegro, Serbia, Kosovo under the UN Security Council Resolution 1244/99)\u000aEEA33: EEA32 + Croatia\u000aEEA32: 32-Member Countries of the EEA (EU15 + EU10 + EFTA4 + Romania, Bulgaria and Turkey)\u000aEFTA4: Iceland, Liechtenstein, Norway, Switzerland\u000aEU15: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, Sweden, the United Kingdom\u000aEU10: Cyprus, Czech Republic, Estonia, Latvia, Lithuania, Hungary, Malta, Poland, Slovenia, Slovakia\u000aEU27: EU15 + EU10 + Bulgaria + Romania\u000aEU28: EU27 + Croatia
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VIn the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (Article 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each:\u000a\u000aNorth-east Atlantic Ocean:\u000ao The Greater North Sea, including the Kattegat and the English Channel\u000ao The Celtic Seas\u000ao The Bay of Biscay and the Iberian Coast\u000ao Macaronesia\u000a\u000aMediterranean Sea:\u000ao The Western Mediterranean Sea\u000ao The Adriatic Sea\u000ao The Ionian Sea and the Central Mediterranean Sea\u000ao The Aegean-Levantine Sea\u000a\u000aApart of these, there are other seas also surrounding Europe, namely the Norwegian, Iceland, Barents and White Seas. \u000a\u000aThe present layer provides the spatial extent of Europe's seas, including the MSFD regions and subregions, as agreed by the MSFD Committee in November 2016.
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VMarine Strategy Framework Directive|marine environment|sea
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VThe present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe.\u000a\u000aThe delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\u000aThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d (see https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\u000a\u000aTherefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following:\u000aa.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\u000ab. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe.\u000ac. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\u000ad. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.".\u000ae. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\u000af. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated.\u000ag. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\u000a\u000aFinally, the following notes are relevant for the understanding of the layer:\u000a- The area with Id "ACSo" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\u000a-The area with Id "ATLna" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\u000a-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. That's why they don´t have the same Id as the Black Sea region, even if they are part of the MSFD Black Sea region.
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VBaltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VUrban Waste Water Treatment Directive, Sensitive areas - coastal waters - lines, Nov. 2017
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VReference layer of the coastal waters sensitive areas - lines, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastL: the layer displays coastal waters sensitive areas - lines designated by Member States as sensitive.
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VEPSG:4258
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VArea management/restriction/regulation zones and reporting units
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VUrban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality
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VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VReference layer of the lakes sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_lake: the layer displays lakes designated by Member States as sensitive.
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VFALSE
p68013
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd3a76cb-ce0d-4464-a17e-befcfff761be.png
p68016
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VEPSG:4258
p68019
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NtRp68020
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V2019-06-04
p68022
sbNg8
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NtRp68023
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VArea management/restriction/regulation zones and reporting units
p68025
sbg8
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NtRp68026
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VUrban Waste Water Treatment Directive|lake|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality
p68028
sbg8
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NtRp68029
(dp68030
g13
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Vvector
p68031
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VSHP
p68034
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V100m
p68037
sbNg8
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VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
p68040
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd3a76cb-ce0d-4464-a17e-befcfff761be
p68043
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VFALSE
p68046
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VEEA39
p68049
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68052
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VFALSE
p68055
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VFALSE
p68058
sbNNNNNNNg8
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NtRp68059
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V
sbg8
(g9
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(dp68062
g13
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V
sbg8
(g9
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NtRp68063
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VWater
p68065
sbg8
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NtRp68066
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68068
sbg8
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NtRp68069
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g13
Nsg14
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Veea_v_4258_100_m_uwwtd-sa-lakes_p_2013-2014_v05_r00
p68071
sbNNtp68072
a(g8
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NtRp68073
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V5b35f06e-8c6b-4907-b8f4-39541d170360
p68075
sbg8
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NtRp68076
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VUWWTD_Sensitive_Areas_Rivers
p68078
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NtRp68079
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VUrban Waste Water Treatment Directive, Sensitive areas - rivers, Nov. 2017
p68081
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NtRp68082
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68084
sbNNg8
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g10
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g13
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VReference layer of the rivers sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_river: the layer displays rivers designated by Member States as sensitive.
p68087
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NtRp68088
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VFALSE
p68090
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VFALSE
p68093
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VFALSE
p68096
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VFALSE
p68099
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b35f06e-8c6b-4907-b8f4-39541d170360.png
p68102
sbg8
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NtRp68103
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VEPSG:4258
p68105
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NtRp68106
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Nsg15
V2019-06-04
p68108
sbNg8
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NtRp68109
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g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p68111
sbg8
(g9
g10
NtRp68112
(dp68113
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive|river|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality
p68114
sbg8
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NtRp68115
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g13
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Vvector
p68117
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g13
Nsg14
Nsg15
VSHP
p68120
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V100m
p68123
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g10
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VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
p68126
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NtRp68127
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b35f06e-8c6b-4907-b8f4-39541d170360
p68129
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p68132
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VEEA39
p68135
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NtRp68136
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68138
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NtRp68139
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VFALSE
p68141
sbNg8
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VFALSE
p68144
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V
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p68151
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p68154
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NtRp68155
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Veea_v_4258_100_m_uwwtd-sa-rivers_p_2013-2014_v05_r00
p68157
sbNNtp68158
a(g8
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Vc805fb20-1f54-4e25-8f90-21f8faeea3fa
p68161
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NtRp68162
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VUWWTD_Sensitive_Areas_Catchments
p68164
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NtRp68165
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VUrban Waste Water Treatment Directive, Sensitive areas - catchments, Nov. 2017
p68167
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NtRp68168
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68170
sbNNg8
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NtRp68171
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g13
Nsg14
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VReference layer of the catchments of sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_catchment: the layer displays catchments of sensitive areas designated by Member States as sensitive.
p68173
sbNNg8
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NtRp68174
(dp68175
g13
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VFALSE
p68176
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NtRp68177
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VFALSE
p68179
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NtRp68180
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g13
Nsg14
Nsg15
VFALSE
p68182
sbNNg8
(g9
g10
NtRp68183
(dp68184
g13
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Nsg15
VFALSE
p68185
sbNg8
(g9
g10
NtRp68186
(dp68187
g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c805fb20-1f54-4e25-8f90-21f8faeea3fa.png
p68188
sbg8
(g9
g10
NtRp68189
(dp68190
g13
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Nsg15
VEPSG:4258
p68191
sbg8
(g9
g10
NtRp68192
(dp68193
g13
Nsg14
Nsg15
V2019-06-04
p68194
sbNg8
(g9
g10
NtRp68195
(dp68196
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p68197
sbg8
(g9
g10
NtRp68198
(dp68199
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive|catchment|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality
p68200
sbg8
(g9
g10
NtRp68201
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g13
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Vvector
p68203
sbg8
(g9
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NtRp68204
(dp68205
g13
Nsg14
Nsg15
VSHP
p68206
sbNg8
(g9
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NtRp68207
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g13
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V100m
p68209
sbNg8
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g10
NtRp68210
(dp68211
g13
Nsg14
Nsg15
VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
p68212
sbg8
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NtRp68213
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c805fb20-1f54-4e25-8f90-21f8faeea3fa
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p68218
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VEEA39
p68221
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68224
sbg8
(g9
g10
NtRp68225
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VFALSE
p68227
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VFALSE
p68230
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VWater
p68237
sbg8
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NtRp68238
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68240
sbg8
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NtRp68241
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g13
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Veea_v_4258_100_m_uwwtd-sa-catchments_p_2013-2014_v05_r00
p68243
sbNNtp68244
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Vb9b9b305-1c3e-4fd9-bd78-33ac7187ab21
p68247
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NtRp68248
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VUWWTD_Sensitive_Areas_Coastal_Waters_areas
p68250
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VUrban Waste Water Treatment Directive - Sensitive areas - Coastal waters - areas, Nov. 2017
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Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68256
sbNNg8
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NtRp68257
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g13
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VReference layer of the coastal waters sensitive areas - areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastA: the layer displays coastal waters sensitive areas - areas designated by Member States as sensitive.
p68259
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VFALSE
p68262
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VFALSE
p68265
sbNNg8
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NtRp68266
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g13
Nsg14
Nsg15
VFALSE
p68268
sbNNg8
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NtRp68269
(dp68270
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VFALSE
p68271
sbNg8
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NtRp68272
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9b9b305-1c3e-4fd9-bd78-33ac7187ab21.png
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sbg8
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NtRp68275
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VEPSG:4258
p68277
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g13
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V2019-06-04
p68280
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g13
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VArea management/restriction/regulation zones and reporting units
p68283
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VUrban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality
p68286
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Vvector
p68289
sbg8
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NtRp68290
(dp68291
g13
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VSHP
p68292
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V100m
p68295
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Nsg14
Nsg15
VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
p68298
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NtRp68299
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9b9b305-1c3e-4fd9-bd78-33ac7187ab21
p68301
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NtRp68302
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Nsg14
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VFALSE
p68304
sbg8
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VEEA39
p68307
sbg8
(g9
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NtRp68308
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g13
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68310
sbg8
(g9
g10
NtRp68311
(dp68312
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VFALSE
p68313
sbNg8
(g9
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NtRp68314
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VFALSE
p68316
sbNNNNNNNg8
(g9
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NtRp68317
(dp68318
g13
Nsg14
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V
sbg8
(g9
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NtRp68319
(dp68320
g13
Nsg14
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V
sbg8
(g9
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NtRp68321
(dp68322
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VWater
p68323
sbg8
(g23
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NtRp68324
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Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68326
sbg8
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NtRp68327
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g13
Nsg14
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Veea_v_4258_100_m_uwwtd-sa-coast-areas_p_2013-2014_v05_r00
p68329
sbNNtp68330
a(g8
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NtRp68331
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V3fcdc6b0-97ea-4f88-9041-445275434fcd
p68333
sbg8
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NtRp68334
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Nsg14
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VUWWTD_Sensitive_Areas_Transitional_Waters
p68336
sbg8
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g10
NtRp68337
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g13
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VUrban Waste Water Treatment Directive, Sensitive areas - transitional waters, Nov. 2017
p68339
sbNNg8
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NtRp68340
(dp68341
g15
Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68342
sbNNg8
(g9
g10
NtRp68343
(dp68344
g13
Nsg14
Nsg15
VReference layer of the transitional waters sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_TW: the layer displays transitional waters designated by Member States as sensitive.
p68345
sbNNg8
(g9
g10
NtRp68346
(dp68347
g13
Nsg14
Nsg15
VFALSE
p68348
sbNNNg8
(g9
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NtRp68349
(dp68350
g13
Nsg14
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VFALSE
p68351
sbNNg8
(g9
g10
NtRp68352
(dp68353
g13
Nsg14
Nsg15
VFALSE
p68354
sbNNg8
(g9
g10
NtRp68355
(dp68356
g13
Nsg14
Nsg15
VFALSE
p68357
sbNg8
(g9
g10
NtRp68358
(dp68359
g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3fcdc6b0-97ea-4f88-9041-445275434fcd.png
p68360
sbg8
(g9
g10
NtRp68361
(dp68362
g13
Nsg14
Nsg15
VEPSG:4258
p68363
sbg8
(g9
g10
NtRp68364
(dp68365
g13
Nsg14
Nsg15
V2019-06-04
p68366
sbNg8
(g9
g10
NtRp68367
(dp68368
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p68369
sbg8
(g9
g10
NtRp68370
(dp68371
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive|sensitive area|transitional waters|urban wastewater|waste water|waste water discharge|waste water treatment plant|water quality
p68372
sbg8
(g9
g10
NtRp68373
(dp68374
g13
Nsg14
Nsg15
Vvector
p68375
sbg8
(g9
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NtRp68376
(dp68377
g13
Nsg14
Nsg15
VSHP
p68378
sbNg8
(g9
g10
NtRp68379
(dp68380
g13
Nsg14
Nsg15
V100m
p68381
sbNg8
(g9
g10
NtRp68382
(dp68383
g13
Nsg14
Nsg15
VVector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\u000aA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).
p68384
sbg8
(g9
g10
NtRp68385
(dp68386
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3fcdc6b0-97ea-4f88-9041-445275434fcd
p68387
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NtRp68388
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VFALSE
p68390
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NtRp68391
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VEEA39
p68393
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(g9
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NtRp68394
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g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68396
sbg8
(g9
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NtRp68397
(dp68398
g13
Nsg14
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VFALSE
p68399
sbNg8
(g9
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NtRp68400
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g13
Nsg14
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VFALSE
p68402
sbNNNNNNNg8
(g9
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NtRp68403
(dp68404
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Nsg14
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V
sbg8
(g9
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NtRp68405
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Nsg14
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V
sbg8
(g9
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NtRp68407
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Nsg14
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VWater
p68409
sbg8
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NtRp68410
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g15
Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68412
sbg8
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NtRp68413
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Veea_v_4258_100_m_uwwtd-sa-tw_p_2013-2014_v05_r00
p68415
sbNNtp68416
a(g8
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NtRp68417
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g13
Nsg14
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V38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5
p68419
sbg8
(g9
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NtRp68420
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g13
Nsg14
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VUWWTD_Treatment_Plants
p68422
sbg8
(g9
g10
NtRp68423
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g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Treatment plants - PUBLIC VERSION - Nov. 2017
p68425
sbNNg8
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g10
NtRp68426
(dp68427
g15
Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68428
sbNNg8
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g10
NtRp68429
(dp68430
g13
Nsg14
Nsg15
VUWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \u000aDataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants.\u000aThe GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains treatment plants selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active and connected treatment plants + availability of correct coordinates in the reported data.
p68431
sbNNg8
(g9
g10
NtRp68432
(dp68433
g13
Nsg14
Nsg15
VFALSE
p68434
sbNNNg8
(g9
g10
NtRp68435
(dp68436
g13
Nsg14
Nsg15
VFALSE
p68437
sbNNg8
(g9
g10
NtRp68438
(dp68439
g13
Nsg14
Nsg15
VFALSE
p68440
sbNNg8
(g9
g10
NtRp68441
(dp68442
g13
Nsg14
Nsg15
VFALSE
p68443
sbNg8
(g9
g10
NtRp68444
(dp68445
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5.png
p68446
sbNg8
(g9
g10
NtRp68447
(dp68448
g13
Nsg14
Nsg15
V2019-06-04
p68449
sbNg8
(g9
g10
NtRp68450
(dp68451
g13
Nsg14
Nsg15
VProduction and industrial facilities
p68452
sbg8
(g9
g10
NtRp68453
(dp68454
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality
p68455
sbg8
(g9
g10
NtRp68456
(dp68457
g13
Nsg14
Nsg15
Vvector
p68458
sbg8
(g9
g10
NtRp68459
(dp68460
g13
Nsg14
Nsg15
VSHP
p68461
sbNg8
(g9
g10
NtRp68462
(dp68463
g13
Nsg14
Nsg15
V100m
p68464
sbNg8
(g9
g10
NtRp68465
(dp68466
g13
Nsg14
Nsg15
VTreatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive or disconnected treatment plants and treatment plants with obviously wrong coordinates were removed.
p68467
sbg8
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NtRp68468
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5
p68470
sbNNg8
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NtRp68471
(dp68472
g13
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VFALSE
p68473
sbg8
(g9
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NtRp68474
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Nsg14
Nsg15
VEEA39
p68476
sbg8
(g9
g10
NtRp68477
(dp68478
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68479
sbg8
(g9
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NtRp68480
(dp68481
g13
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Nsg15
VFALSE
p68482
sbNg8
(g9
g10
NtRp68483
(dp68484
g13
Nsg14
Nsg15
VFALSE
p68485
sbNNNNNNNg8
(g9
g10
NtRp68486
(dp68487
g13
Nsg14
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V
sbg8
(g9
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NtRp68488
(dp68489
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp68490
(dp68491
g13
Nsg14
Nsg15
VWater
p68492
sbg8
(g23
g10
NtRp68493
(dp68494
g15
Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68495
sbg8
(g9
g10
NtRp68496
(dp68497
g13
Nsg14
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Veea_v_4258_100_m_uwwtd-tp_p_2013-2014_v05_r00
p68498
sbNNtp68499
a(g8
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g10
NtRp68500
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g13
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V10b993d7-10e4-49b9-80fa-af95ba50428d
p68502
sbg8
(g9
g10
NtRp68503
(dp68504
g13
Nsg14
Nsg15
VUWWTD_Agglomerations
p68505
sbg8
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g10
NtRp68506
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g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Agglomerations - PUBLIC VERSION - Nov. 2017
p68508
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NtRp68509
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g15
Vhttp://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS
p68511
sbNNg8
(g9
g10
NtRp68512
(dp68513
g13
Nsg14
Nsg15
VUWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \u000aDataset UWWTD_Agglomerations contains  agglomerations reported by countries with generated load \u2265 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.\u000aThe GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains agglomerations selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active agglomerations + availability of correct coordinates in the reported data.
p68514
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VFALSE
p68517
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VFALSE
p68520
sbNNg8
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NtRp68521
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g13
Nsg14
Nsg15
VFALSE
p68523
sbNNg8
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NtRp68524
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g13
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Nsg15
VFALSE
p68526
sbNg8
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NtRp68527
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b993d7-10e4-49b9-80fa-af95ba50428d.png
p68529
sbNg8
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V2019-06-04
p68532
sbNg8
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VProduction and industrial facilities
p68535
sbg8
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NtRp68536
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g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality
p68538
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NtRp68539
(dp68540
g13
Nsg14
Nsg15
Vvector
p68541
sbg8
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NtRp68542
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g13
Nsg14
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VSHP
p68544
sbNg8
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NtRp68545
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g13
Nsg14
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V100m
p68547
sbNg8
(g9
g10
NtRp68548
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g13
Nsg14
Nsg15
VAgglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive agglomerations and agglomerations with obviously wrong coordinates were removed.
p68550
sbg8
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NtRp68551
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b993d7-10e4-49b9-80fa-af95ba50428d
p68553
sbNNg8
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NtRp68554
(dp68555
g13
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VFALSE
p68556
sbg8
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NtRp68557
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Nsg14
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VEEA39
p68559
sbg8
(g9
g10
NtRp68560
(dp68561
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p68562
sbg8
(g9
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NtRp68563
(dp68564
g13
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VFALSE
p68565
sbNg8
(g9
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NtRp68566
(dp68567
g13
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VFALSE
p68568
sbNNNNNNNg8
(g9
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NtRp68569
(dp68570
g13
Nsg14
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V
sbg8
(g9
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NtRp68571
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V
sbg8
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NtRp68573
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VWater
p68575
sbg8
(g23
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NtRp68576
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g15
Vhttp://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer
p68578
sbg8
(g9
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NtRp68579
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g13
Nsg14
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Veea_v_4258_100_m_uwwtd-agglo_p_2013-2014_v05_r00
p68581
sbNNtp68582
a(g8
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NtRp68583
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g13
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Vf41103f0-73ba-4fe7-8cb6-12b7e3c4f189
p68585
sbg8
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NtRp68586
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g13
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VECRINS_Functional_Catchment
p68588
sbg8
(g9
g10
NtRp68589
(dp68590
g13
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VEuropean catchments and Rivers network system (Ecrins), functional elementary catchments (fec) - version 1, Jun. 2012
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VThis personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the \u201cfunctional elementary catchments\u201d datasets of Ecrins v1.0\u000aThe FECs apportion into two big categories: the coastal FECs and the continental FECs. Coastal FECs have the following characteristics: they may have 0 to several outlets, they have no upstream FEC and they touch a terminal recipient (sea or endorheic lake). They ID starts by \u2018W\u2019. The continental FECs may have an outlet, but at least one upstream if the FEC is terminal. Continental FECs belong to three categories: upstream (no upstream FEC), intermediates (upstream(s) and one downstream or terminal (upstream(s) and no downstream.\u000aThe database contains a single table of features, named C_Zhyd that contains the Ecrins version to which these FECs refer, the FEC ID and attribute values. Special mention to field Code_Arbo, specially designed to circulate upstream with flat algorithm instead of recursive algorithm.\u000aFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.
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VProduct is based on CCM River and Catchment Database, version 2.1\u000aSome hundreds of source CCM elementary catchments have been discarded or reattached. All source CCM catchments have been reallocated to sea shores.\u000aProcessing consisted of dissolving, under strict control of topology, the 1,409,644 CCM elementary catchments into more homogeneous 181,071 FECS covering the same geographical area, based on size criteria (shrink the range) and Strahler order.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VEUDEM
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VEU-DEM (raster) - version 1.1, Apr. 2016
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VThe EU-DEM v1.1 is a resulting dataset of the EU-DEM v1.0 upgrade which enhances the correction of geo-positioning issues, reducing the number of artefacts, improving the vertical accuracy of EU-DEM using ICESat as reference and ensuring consistency with EU-Hydro public beta.\u000a\u000aEU-DEM v1.1 is available in Geotiff 32 bits format. It is a contiguous dataset divided into 100x100 km tiles, resulting in a total of 1992 tiles of 4000x4000 pixel at 25m resolution with vertical accuracy: +/- 7 meters RMSE. The tiles have been grouped in big regions:\u000a    - EUDEM2_ASIA (Turkey)\u000a    - EUDEM2_ATLAN (Hondo and Fr_Islands)\u000a    - EUDEM2_BRITAIN (Thames, Shannon and Tweed)\u000a    - EUDEM2_EUROPE_1 (Duero, Ebro, Tajo, Guadalquivir and Jucar)\u000a    - EUDEM2_EUROPE_2 (Tirso, Mesima, Tevere and Po)\u000a    - EUDEM2_EUROPE_3 (Garonne, Rhone, Loire, Seine and western Rhine)\u000a    - EUDEM2_EUROPE_4 (Danube)\u000a    - EUDEM2_EUROPE_5 (Skjern, Nemunas, Vistula, Oder, Elbe and Eastern Rhine)\u000a    - EUDEM2_EUROPE_6 (Bulgaria and Pinios)\u000a    - EUDEM2_ICELAND (Iceland)\u000a    - EUDEM2_SCAND (Vorma, Gota, Angerman, Tana, Kemi and Neva)\u000a    - EUDEM2_SOUTH_AMERICA (Fr_Guiana)\u000aEU-DEM v1.1 upgrade was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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Vdigital land model|land cover|land use|landscape alteration
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V\u2022Correction of geo-positioning issues in EU-DEM v1.0 as reference also using SPOT 2011 imagery\u000a\u2022Bias adjustment with ICESat points\u000a\u2022Screening and removal of artefacts in the EU-DEM v1.0, including the presence of blunders (i.e. negative or positive anomalies)\u000a\u2022Ensuring consistency with EU-Hydro to produce a better river network topology:\u000a   --Consistency of the coastline with the EU-HYDRO coastline, including the removal of DEM values outside the EU-HYDRO coastline\u000a   --Use of the EU-HYDRO coastline to smooth the gradient to the coast in flat regions\u000a   --Burning of EU-HYDRO water bodies to set EU-DEM to the minimum height inside the water body, smoothing the boundaries
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VEU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. EU-Hydro Coastal Line is a separate layer extracted from EU-Hydro.\u000a\u000aThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
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VSpace imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VEU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes.\u000a\u000aEU-Hydro river network is divided into 35 basins (covering all EEA39 countries) available in geodatabase format with geometries and attributes (including HYDRO Feature Dataset with 12 Feature Classes in turn): Oder, Elbe, Rhine, Seine, Vistula, Skjern, Loire, Garonne, Rhone, Duero, Ebro, Tajo, Jucar, Guadalquivir, Shannon, Thames, Tweed, Iceland, French Guiana, French Islands, Hondo, Mesima, Tevere, Po, Tirso, Pinios/Bulgaria, Nemunas, Danube, Gota, Angerman, Neva, Kemi, Tana, Vorma, Turkey.\u000a\u000aThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
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VSemi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy.\u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe Emerald Network is a network of Areas of Special Conservation Interest (ASCIs), which is to be established in the territory of the Contracting Parties and Observer States to the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention), including Central and Eastern European countries and the EU Member States. For EU Member States, Emerald Network sites are those of Natura 2000.
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p69294
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VThis data set represents the regions for level 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2010. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, respectively, moving from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction \u000a This data set has been created mainly from the EuroBoundary Map v 5.0 (Eurogeographics), geographic information from TurkStat for Turkey, the Global Administrative Unit Layer from FAO (UN) for Macedonia and a list of communes per statistical region provided by the countries. Six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1 The full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. \u000aCoverage is the economical territory of the EU, EFTA countries and candidate countries as in 2010.\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
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p69309
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V2019-06-04
p69315
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Vstatistical information system
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p69321
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p69324
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VThis dataset is based on: EuroBoundaryMap (EBM) v5.0. from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This data set consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore two line feature classes were created: one feature class for cartograhic joiners to identify where NUTS areas have one or more enclaves and a second line feature class for cartographic separators, to identify where the NUTS limits are in the sea. The arcs of two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This data set is consistent at all scales with the following data sets: "Communes 2010 \u2013 European Commission, Eurostat/GISCO", "Countries 2010, European Commission - Eurostat/GISCO", "Coastlines 2010, European Commission - Eurostat/GISCO", "Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO" . Different tests were performed to ensure conceptual- , domain- and topological- consistency. A detailed description of these tests can be found in the data base manual.
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VThis data set should be referred to as: "Nomenclature of Territorial Units for Statistics (NUTS) 2010 - European Commission, Eurostat/GISCO" An overview of the use conditions is given below. The detailed use conditions are available here: \u000ahttps://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
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VThis personal geodatabase (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the \u201criver segments\u201d datasets of Ecrins v1.0.\u000aRiver segments mimic the surface rivers on a simplified way, allowing simple journeying. As for FECs, but completed because of the process, any segment may have 0, 1 or 2 upstream and single downstream. The reason for single upstream is because spurious branching segments have been removed (~160,000) from CCM source during the Ecrins making.\u000aThe segments mimic rivers that are cultural, not simply defined objects. The \u201cdummy rivers\u201d (ID is CGENELIN) branches together all the segments which spring is most distant to the sea, then second most distant and connecting to this first set of segments, etc. the \u201ctrue rivers\u201d are those sets of segments having the same name, disregarding translation (segments on the Rheine, Rhin, etc. have same river ID). Name of true rivers is hosted in the EcrGaz database.\u000aDummy rivers maybe sorted out as \u201cmain drains\u201d that either connect FECs together (continental FECs) or are the most important in a coastal FEC. Main drains are hence the potential population of \u201cWFD large rivers\u201d, since the FEC average size is ~1/10 of the threshold catchment size of main rivers.\u000aThe geodatabases contains two feature classes: C_Tr where all segments lines are. This table links to FECs, since a FEC may contain several segments. Feature class C_node contains all nodes, making implicit the flow direction that is identified in C_tr by FNode (from node) and TNode (to node).\u000aField River_ID links to flat table RivNames in EcrGaz personal geodatabase\u000aFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.
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VThis dataset is derived from the segments and nodes data sets produced by CCM. Significant reprocessing has been carried out to clean the data sets, create hierarchy, populate incomplete fields (e.g. distance to the sea), create dummy rivers and, last but most important, give names to rivers.\u000aA systematic check of branching errors is currently being carried out to identify topological errors (a->B and should be A->C) based on discharge computation and name matching.
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p69437
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p69440
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p69450
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p69453
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VThe biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\u000a\u000aThe Pannonian region of Serbia was missing in previous versions and this has been corrected in the 2016 version. Some Arctic islands which do not belong to the European part of Russia and which were erroneously included in previous versions have been removed.
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p69481
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p69490
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p69493
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p69508
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VBiogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\u000a\u000aChanges in version 2011:                            \u000a\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\u000a\u000aChanges in version 2015:\u000a\u2022 Update of coast lines (the Caspian and Black Sea)\u000a\u2022 Update Ukraine from continental to Pannonian region\u000a\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\u000a\u000aChanges in 2015, version 2:\u000a\u2022 Errors in the delineation of the ATL region have been corrected.\u000a\u000aChanges in 2016, version 1:\u000a\u2022 Correction of the lack of Pannonian region in Serbia\u000a\u2022 Removal of some Arctic islands which do not belong to the European part of Russia\u000a\u000aThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\u000a\u000aInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\u000aThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO
p69520
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p69542
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/RiparianZones/LCLU/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
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VRiparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\u000a\u000aThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\u000a\u000aLand Cover/Land Use (LC/LU) classification is tailored to the needs of biodiversity monitoring in a tailored buffer zone along large and medium-sized European rivers (with Strahler levels 3-8 derived from EU-Hydro). LC/LU is extracted from VHR satellite data and other available data in a buffer zone of selected rivers. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover, providing 80 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m.\u000a\u000aThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
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p69558
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VEPSG:3035
p69573
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p69576
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VSemi-automatic classification of 1.5m VHR2 SPOT-6 and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) and computer assisted visual refinement. Subsequently intersection of classification results with additional data (CLC 2006/2012, GIO HRL Tree Cover Density, Urban Atlas 2006/2012).\u000aMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p69606
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p69609
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VThe Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Street Tree Layer (STL) is a separate layer from the Urban Atlas 2012 LU/LC layer produced within the level 1 urban mask for each FUA. It includes contiguous rows or a patches of trees covering 500 m² or more and with a minimum width of 10 meter over "Artificial surfaces" (nomenclature class 1) inside FUA (i.e. rows of trees along the road network outside urban areas or forest adjacent to urban areas should not be included).\u000a\u000aUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.
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p69656
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p69668
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VThe STL is a separate layer from the Urban Atlas 2012 LC/LU layer produced within the Urban Atlas 2012 LC/LU urban mask for each FUA. The production of the Street Tree Layers was performed on the basis of SPOT 5 Supermode data used for the Urban Atlas 2012 production acquired between March and November months with a preference for spring and late summer imagery. An interactive automated classification approach was applied to identify contiguous rows or a patches of trees covering 500 m² or more and with a minimum width of 10 m. A post-processing routine was applied to provide the results in vector format.\u000aThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.
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p69698
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p69708
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VThe EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\u000aIn this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.
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VThe criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason, the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile.\u000aThe creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by these criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies).\u000aTwo Baltic lagoons have been modified with the data from SVAR geodatabase version 2012_2, Swedish Meteorological and Hydrological Institute (SMHI).\u000aThe patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.
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VThe data set aims to contribute to a better biological characterization of terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 (this corresponds to EUNIS level 3 for marine habitats).\u000a\u000aThe map combines spatially explicit data on land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/BD is to improve the biological description of land based ecosystem types and their spatial distribution across Europe.\u000a\u000aSince it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product.\u000a\u000aThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further ad-dresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. A representation of MAES level 2 is contained in the reliability map as secondary product.
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VIn comparison to the Ecosystem Type Map 2006 v2.1, the Ecosystem Type Map 2012 v3.1 shows changes in four specific aspects:\u000a\u000aa) Changes of the mapping ruleset:\u000aThe ruleset to translate land cover information from CLC to EUNIS level 2 has been improved to v3.1 based a validation with in-situ vegetation relevés and experience from ETM v2.1. Crosswalks to integrate new datasets of the Copernicus Land Monitoring Service are also based on ruleset v3.1.\u000a\u000ab) Use of updated datasets:\u000a\u2022 CORINE Land Cover 2012 accounting layer (instead of CLC 2012 status layer)\u000a\u2022 HRL Forests 2012 (Forest Type, Tree Cover Density)\u000a\u2022 HRL Imperviousness 2012 \u000a\u2022 OpenStreetMap (OSM) data 2015 (main roads, selected land use information)\u000a\u000ac) Integration of new available Copernicus data:\u000a\u2022 Urban Atlas 2012 \u000a\u2022 Riparian Zones 2012\u000a\u2022 Natura 2000 (N2k) 2012\u000a\u2022 HRL Grassland 2012\u000a\u2022 HRL Permanent Water Bodies 2012\u000a\u000ad) Spatial extension to include Azores\u000a\u000aMapping process:\u000aThe basic approach for the ecosystem type mapping is the geographic and thematic refinement of a certain land cover input datasets to translate the original LC information into the EUNIS classification. \u000aThe mapping approach is based on four elements:\u000a1. Original Land cover (LC) information to be mapped into EUNIS L2:\u000a- CORINE Land Cover\u000a- Copernicus Local Components: Urban Atlas, Riparian Zones, Natura 2000\u000a- High Resolution Layers (Forest, Imperviousness, Grassland, Permanent Waterbodies)\u000a- OpenStreetMap (Main roads, selected LC classes)\u000a\u000a2. Mapping rules based on crosswalks:\u000aCrosswalks provide the information, from what original land cover information EUNIS classes can be derived. The Mapping rules define which (stable and variable) datasets are needed for the refinement and how they have to be classified (setting thresholds) to translate the original LC information into the EUNIS classification.\u000a\u000a3. Stable core input datasets \u000aDatasets to be used for the refinement: Environmental zone, potential natural vegetation, altitude etc.\u000a\u000a4. Variable input datasets\u000aHRL Imperviousness, HRL Forest (Tree Cover Density)\u000a\u000aEach LC input dataset is processed and mapped into EUNIS L2 independently with its own crosswalk.  The components are assembled together later in the following order (priority from low to high):\u000a1. CLC 2012 accounting\u000a2. Urban Atlas 2012\u000a3. Riparian Zones 2012\u000a4. Natura 2000 (N2k) 2012\u000a5. HRL Imperviousness 2012\u000a6. OSM land use 2015\u000a7. HRL Grassland 2012\u000a8. HRL Permanent Water Bodies 2012\u000a9. OSM main roads 2015\u000a10. HRL Forest 2012 (Forest Type)\u000a\u000aOutputs:\u000aa) Primary output is the actual map representing EUNIS classes on Level 2 with a resolution of 100 x 100 m. \u000ab) The Reliability Map is the secondary output containing geometric & thematic reliability, rule_ID, data source and MAES L2 classification for each raster cell.\u000a\u000aMore information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).
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VThe data set is a secondary product accompanying the terrestrial part of the Ecosystem Type Map 2012 v3.1. It provides supplemental information:\u000a\u2022 estimated geometric reliability ranging from 1 \u2013 10 (very low to very high)\u000a\u2022 estimated thematic reliability ranging from 1 \u2013 10 (very low to very high)\u000a\u2022 Main original LC input data source:\u000a  - Corine Land Cover\u000a  - Urban Atlas\u000a  - Riparian Zones\u000a  - Natura 2000 (N2k)\u000a  - High Resolution Layer Forest\u000a  - High Resolution Layer Grassland\u000a  - High Resolution Layer Imperviousness\u000a  - High Resolution Layer Permanent Water Bodies\u000a  - OpenStreetMap Roads\u000a  - OpenStreetMap Landuse\u000a\u2022 MAES Level 2 (Urban, Cropland, Grassland, Woodland and Forest, Heathland and shrub, Sparsely vegetated land, Wetlands, Marine inlets and transitional waters)
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VThe reliability map is a secondary output and produced in the course of the processing of the terrestrial part of the Ecosystem Type Map 2012 v3.1. More information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).
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VThe data set aims to contribute to a better biological characterization of European marine ecosystems. As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 3 for marine habitats including information on sea ice coverage (this corresponds to EUNIS level 2 for terrestrial habitats).\u000a\u000aThe map combines spatially explicit data on marine bathymetry and sea-bed with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/ULS is to improve the biological description of marine based ecosystem types and their spatial distribution.\u000a\u000aThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The data set represents 2 classes of the MAES classification level 3, namely \u201cMarine inlets and transitional waters\u201d and \u201cMarine\u201d.\u000a\u000aThe dataset comprises the following information:\u000a\u2022 Sea region (1 \u2013 Arctic, 2 \u2013 Atlantic, 3 \u2013 Baltic, 4 \u2013 Mediterranean, 5 \u2013 Black Sea)\u000a\u2022 Sea zone (1 \u2013 Littoral, 2 \u2013 Infralittoral, 3 \u2013 Circalittoral, 4 \u2013 Offshore circalittoral, 5 \u2013 Upper bathyal, 6 \u2013 Lower bathyal, 7 \u2013 Abyssal,8 - Coastal Lagoons, 9 - Coastal Lagoons)\u000a\u2022 Substrate (0 \u2013 undetermined substrate, 1 \u2013 rock and biogenic, 3 \u2013 coarse sediment, 4 \u2013 mixed sediment, 5 \u2013 sand, 6 \u2013 mud)\u000a\u2022 Sea ice coverage (0 \u2013 no sea ice presence, 1 \u2013 seasonal sea ice presence, 2 \u2013 perennial sea ice presence)
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Nsg15
VFALSE
p69973
sbNNg8
(g9
g10
NtRp69974
(dp69975
g13
Nsg14
Nsg15
VFALSE
p69976
sbNg8
(g9
g10
NtRp69977
(dp69978
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4.png
p69979
sbNg8
(g9
g10
NtRp69980
(dp69981
g13
Nsg14
Nsg15
V2019-06-04
p69982
sbNg8
(g9
g10
NtRp69983
(dp69984
g13
Nsg14
Nsg15
VHabitats and biotopes|Land cover|Oceanographic geographical features|Sea regions
p69985
sbg8
(g9
g10
NtRp69986
(dp69987
g13
Nsg14
Nsg15
Vecosystem|ecosystem type|environmental assessment|habitat|land cover
p69988
sbg8
(g9
g10
NtRp69989
(dp69990
g13
Nsg14
Nsg15
Vgrid
p69991
sbg8
(g9
g10
NtRp69992
(dp69993
g13
Nsg14
Nsg15
VGTiff
p69994
sbNg8
(g9
g10
NtRp69995
(dp69996
g13
Nsg14
Nsg15
V100m
p69997
sbNg8
(g9
g10
NtRp69998
(dp69999
g13
Nsg14
Nsg15
VThe process of creation of this dataset is as follows:\u000a\u000aA \u2013 Marine habitats Level 1\u000a1.	Create Sea mask, Sea Extent and Sea Region extended mask from CLC 2012 v18.5, Europe Seas 2010-2017  (vector 100k) and MSFD marine regions 2017 (vector 100k)\u000a \u000aB \u2013 New EUNIS-crosswalks\u000a2.	Apply \u201cEUSEAMAP/new EUNIS Crosswalk\u201d to derive EUNIS Level 3 from EUSEAMAP 2017 \u000a3.	Apply \u201cGeology/new EUNIS Crosswalk\u201d  to derive seabed geology from EMODNET\u000a \u000aC \u2013 Continental Shelf (for Mediterranean Region only)\u000a4.	Derive Mediterranean continental shelf and littoral mask from Continental marine margins, EMODNET bathymetry and Sea Regions extended mask\u000a \u000aD \u2013 Marine habitats level 3 separate processing per each of the 5 sea regions\u000a5.	Apply Sea Region bathymetry rules to define sea zone\u000a6.	Apply Biological zone rules to extract biological zone per each sea region:\u000a-	Littoral\u000a-	Infralittoral \u000a-	Circalittoral\u000a-	Offshore Circalittoral\u000a-	Upper bathyal\u000a-	Lower bathyal\u000a-	Abyssal\u000a\u000aE \u2013 Sea Ice (for Arctic and Baltic only)\u000a7.	Apply minimum and maximum Sea Ice extent to derive sea ice coverage for Arctic and Baltic region\u000a \u000aF \u2013 Final Integration\u000a8.	Combine of all EUNIS maps (Cell statistics)\u000a9.	Euclidean Allocation for gap filling\u000a10.	Adjustment of final extent\u000a\u000aH - Transitional habitats\u000a11. Deriving "Estuaries" and "Coastal Lagoons" from CLC Accounting, Riparian Zones and Natura 2000\u000a\u000aMore information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).
p70000
sbg8
(g9
g10
NtRp70001
(dp70002
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4
p70003
sbNNg8
(g9
g10
NtRp70004
(dp70005
g13
Nsg14
Nsg15
VFALSE
p70006
sbg8
(g9
g10
NtRp70007
(dp70008
g13
Nsg14
Nsg15
VEEA39
p70009
sbg8
(g9
g10
NtRp70010
(dp70011
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70012
sbg8
(g9
g10
NtRp70013
(dp70014
g13
Nsg14
Nsg15
VFALSE
p70015
sbg8
(g9
g10
NtRp70016
(dp70017
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70018
sbg8
(g9
g10
NtRp70019
(dp70020
g13
Nsg14
Nsg15
VFALSE
p70021
sbNNNNNNNg8
(g9
g10
NtRp70022
(dp70023
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70024
(dp70025
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70026
(dp70027
g15
Vhttps://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Marine/MapServer
p70028
sbg8
(g9
g10
NtRp70029
(dp70030
g13
Nsg14
Nsg15
Veea_r_3035_100_m_ecosystem-types-marine_p_2012_v03_r01
p70031
sbNNtp70032
a(g8
(g9
g10
NtRp70033
(dp70034
g13
Nsg14
Nsg15
V74e5eff0-72d0-42d2-b1ca-d3202b060ecf
p70035
sbNg8
(g9
g10
NtRp70036
(dp70037
g13
Nsg14
Nsg15
VGrassland intensification trend by nutrient inputs 2005-2010, Nov. 2016
p70038
sbNNg8
(g23
g10
NtRp70039
(dp70040
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70041
sbNNg8
(g9
g10
NtRp70042
(dp70043
g13
Nsg14
Nsg15
VThe dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of grassland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.
p70044
sbNNg8
(g9
g10
NtRp70045
(dp70046
g13
Nsg14
Nsg15
VFALSE
p70047
sbNNNg8
(g9
g10
NtRp70048
(dp70049
g13
Nsg14
Nsg15
VFALSE
p70050
sbNNg8
(g9
g10
NtRp70051
(dp70052
g13
Nsg14
Nsg15
VFALSE
p70053
sbNNg8
(g9
g10
NtRp70054
(dp70055
g13
Nsg14
Nsg15
VFALSE
p70056
sbNg8
(g9
g10
NtRp70057
(dp70058
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74e5eff0-72d0-42d2-b1ca-d3202b060ecf.png
p70059
sbg8
(g9
g10
NtRp70060
(dp70061
g13
Nsg14
Nsg15
VEPSG:3035
p70062
sbg8
(g9
g10
NtRp70063
(dp70064
g13
Nsg14
Nsg15
V2019-06-04
p70065
sbNg8
(g9
g10
NtRp70066
(dp70067
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p70068
sbg8
(g9
g10
NtRp70069
(dp70070
g13
Nsg14
Nsg15
Vgrassland|land cover|land use|nutrient|pressure
p70071
sbg8
(g9
g10
NtRp70072
(dp70073
g13
Nsg14
Nsg15
Vvector
p70074
sbg8
(g9
g10
NtRp70075
(dp70076
g13
Nsg14
Nsg15
VSHP
p70077
sbNg8
(g9
g10
NtRp70078
(dp70079
g13
Nsg14
Nsg15
V1:1000000
p70080
sbNg8
(g9
g10
NtRp70081
(dp70082
g13
Nsg14
Nsg15
VNutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. \u000a\u000aThe input data are taken from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map. \u000a\u000aEEA nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator.
p70083
sbg8
(g9
g10
NtRp70084
(dp70085
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74e5eff0-72d0-42d2-b1ca-d3202b060ecf
p70086
sbNNg8
(g9
g10
NtRp70087
(dp70088
g13
Nsg14
Nsg15
VFALSE
p70089
sbg8
(g9
g10
NtRp70090
(dp70091
g13
Nsg14
Nsg15
VEU28
p70092
sbg8
(g9
g10
NtRp70093
(dp70094
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70095
sbg8
(g9
g10
NtRp70096
(dp70097
g13
Nsg14
Nsg15
VFALSE
p70098
sbg8
(g9
g10
NtRp70099
(dp70100
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70101
sbg8
(g9
g10
NtRp70102
(dp70103
g13
Nsg14
Nsg15
VFALSE
p70104
sbNNNNNNNg8
(g9
g10
NtRp70105
(dp70106
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70107
(dp70108
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70109
(dp70110
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer
p70111
sbg8
(g9
g10
NtRp70112
(dp70113
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_grassland-intensification-nuts3_2005-2010
p70114
sbNNtp70115
a(g8
(g9
g10
NtRp70116
(dp70117
g13
Nsg14
Nsg15
Va3fb227d-3666-400b-9152-58f82acb525b
p70118
sbNg8
(g9
g10
NtRp70119
(dp70120
g13
Nsg14
Nsg15
VGrassland intensification by management practices in 2010, Nov. 2016
p70121
sbNNg8
(g23
g10
NtRp70122
(dp70123
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70124
sbNNg8
(g9
g10
NtRp70125
(dp70126
g13
Nsg14
Nsg15
VThe dataset shows the percentage of grasslands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total grassland area within NUTS3 regions (NUTS2 for Germany).\u000aThe management pressure on grassland was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc).\u000aThis dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).
p70127
sbNNg8
(g9
g10
NtRp70128
(dp70129
g13
Nsg14
Nsg15
VFALSE
p70130
sbNNNg8
(g9
g10
NtRp70131
(dp70132
g13
Nsg14
Nsg15
VFALSE
p70133
sbNNg8
(g9
g10
NtRp70134
(dp70135
g13
Nsg14
Nsg15
VFALSE
p70136
sbNNg8
(g9
g10
NtRp70137
(dp70138
g13
Nsg14
Nsg15
VFALSE
p70139
sbNg8
(g9
g10
NtRp70140
(dp70141
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a3fb227d-3666-400b-9152-58f82acb525b.png
p70142
sbg8
(g9
g10
NtRp70143
(dp70144
g13
Nsg14
Nsg15
VEPSG:3035
p70145
sbg8
(g9
g10
NtRp70146
(dp70147
g13
Nsg14
Nsg15
V2019-06-04
p70148
sbNg8
(g9
g10
NtRp70149
(dp70150
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p70151
sbg8
(g9
g10
NtRp70152
(dp70153
g13
Nsg14
Nsg15
Vgrassland|land cover|land use|nutrient|pressure|state
p70154
sbg8
(g9
g10
NtRp70155
(dp70156
g13
Nsg14
Nsg15
Vvector
p70157
sbg8
(g9
g10
NtRp70158
(dp70159
g13
Nsg14
Nsg15
VSHP
p70160
sbNg8
(g9
g10
NtRp70161
(dp70162
g13
Nsg14
Nsg15
V1:1000000
p70163
sbNg8
(g9
g10
NtRp70164
(dp70165
g13
Nsg14
Nsg15
VThe dataset shows the percentage of grassland highly pressured in 2010 respect to the total of grassland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany).\u000aThe state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011).\u000a\u000aThe indicator developed identifies the percentage of grassland areas highly pressured (classes 4 and 5) in 2010, respect to the total of grassland area by NUTS.\u000a* https://www.eea.europa.eu/publications/mapping-europes-ecosystems\u000a* https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems\u000a\u000aJacques P., F.J. Gallego 2005 The LUCAS project\u2014the new methodology in the 2005\u20132006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005)\u000a\u000aTemme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009
p70166
sbg8
(g9
g10
NtRp70167
(dp70168
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a3fb227d-3666-400b-9152-58f82acb525b
p70169
sbNNg8
(g9
g10
NtRp70170
(dp70171
g13
Nsg14
Nsg15
VFALSE
p70172
sbg8
(g9
g10
NtRp70173
(dp70174
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom
p70175
sbg8
(g9
g10
NtRp70176
(dp70177
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70178
sbg8
(g9
g10
NtRp70179
(dp70180
g13
Nsg14
Nsg15
VFALSE
p70181
sbg8
(g9
g10
NtRp70182
(dp70183
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70184
sbg8
(g9
g10
NtRp70185
(dp70186
g13
Nsg14
Nsg15
VFALSE
p70187
sbNNNNNNNg8
(g9
g10
NtRp70188
(dp70189
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70190
(dp70191
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70192
(dp70193
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_2010/MapServer
p70194
sbg8
(g9
g10
NtRp70195
(dp70196
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_high-intensification-grassland_2010
p70197
sbNNtp70198
a(g8
(g9
g10
NtRp70199
(dp70200
g13
Nsg14
Nsg15
V19ab220c-bcef-41b3-96a9-4ae820f951dc
p70201
sbNg8
(g9
g10
NtRp70202
(dp70203
g13
Nsg14
Nsg15
VCropland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016
p70204
sbNNg8
(g23
g10
NtRp70205
(dp70206
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70207
sbNNg8
(g9
g10
NtRp70208
(dp70209
g13
Nsg14
Nsg15
VThe dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of cropland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.
p70210
sbNNg8
(g9
g10
NtRp70211
(dp70212
g13
Nsg14
Nsg15
VFALSE
p70213
sbNNNg8
(g9
g10
NtRp70214
(dp70215
g13
Nsg14
Nsg15
VFALSE
p70216
sbNNg8
(g9
g10
NtRp70217
(dp70218
g13
Nsg14
Nsg15
VFALSE
p70219
sbNNg8
(g9
g10
NtRp70220
(dp70221
g13
Nsg14
Nsg15
VFALSE
p70222
sbNg8
(g9
g10
NtRp70223
(dp70224
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/19ab220c-bcef-41b3-96a9-4ae820f951dc.png
p70225
sbg8
(g9
g10
NtRp70226
(dp70227
g13
Nsg14
Nsg15
VEPSG:3035
p70228
sbg8
(g9
g10
NtRp70229
(dp70230
g13
Nsg14
Nsg15
V2019-06-04
p70231
sbNg8
(g9
g10
NtRp70232
(dp70233
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p70234
sbg8
(g9
g10
NtRp70235
(dp70236
g13
Nsg14
Nsg15
Vagricultural land|land cover|land use|nutrient|pressure
p70237
sbg8
(g9
g10
NtRp70238
(dp70239
g13
Nsg14
Nsg15
Vvector
p70240
sbg8
(g9
g10
NtRp70241
(dp70242
g13
Nsg14
Nsg15
VSHP
p70243
sbNg8
(g9
g10
NtRp70244
(dp70245
g13
Nsg14
Nsg15
V1:1000000
p70246
sbNg8
(g9
g10
NtRp70247
(dp70248
g13
Nsg14
Nsg15
VLand cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use. The internal flows (LCF) related to intensification are defined based on an expert consultation done in the context of the ETC-ULS*. Those represent land cover changes that are linked to increase in resource and machinery use. Under this point, the LCF selected were: \u000a- lcf421: Conversion from arable land to permanent irrigation perimeters: Extension of permanent irrigation (incl. rice fields) over arable land\u000a- lcf441: Conversion from permanent crops to permanent irrigation perimeters: Conversion from permanent crops (incl. when associated with arable land - CLC 241) to permanent (large) irrigation perimeters and rice fields\u000a- lcf451: Conversion from arable land to vineyards and orchards: Plantation of vineyards, orchards on arable land.\u000a- lcf452: Conversion from arable land to olive groves: Plantation of olive groves on arable land.\u000a- lcf453: Diffuse conversion from arable land to permanent crops: Conversion from uniform arable land to associations of permanent crops and annual crops (CLC241).\u000a- lcf463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns.\u000a\u000aAn intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a cropland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type.\u000a\u000a*https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/
p70249
sbg8
(g9
g10
NtRp70250
(dp70251
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19ab220c-bcef-41b3-96a9-4ae820f951dc
p70252
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VFALSE
p70255
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NtRp70256
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VEEA39
p70258
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NtRp70259
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70261
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NtRp70262
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Nsg15
VFALSE
p70264
sbg8
(g9
g10
NtRp70265
(dp70266
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Nsg14
Nsg15
VEuropean Environment Agency
p70267
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(g9
g10
NtRp70268
(dp70269
g13
Nsg14
Nsg15
VFALSE
p70270
sbNNNNNNNg8
(g9
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NtRp70271
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Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70273
(dp70274
g13
Nsg14
Nsg15
V
sbNg8
(g23
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NtRp70275
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Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer
p70277
sbg8
(g9
g10
NtRp70278
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g13
Nsg14
Nsg15
Veea_v_3035_1_mio_cropland-intensification-lcf_2006-2012
p70280
sbNNtp70281
a(g8
(g9
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NtRp70282
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Nsg14
Nsg15
V98fed314-cc2a-4744-a4c9-1ee7473d58cb
p70284
sbNg8
(g9
g10
NtRp70285
(dp70286
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Nsg14
Nsg15
VHigh Resolution Layer: Water and Wetness 2015 (raster 20m), Mar. 2018
p70287
sbNNg8
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g10
NtRp70288
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g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70290
sbNNg8
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VThe combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\u000aThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70293
sbNNg8
(g9
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NtRp70294
(dp70295
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Nsg14
Nsg15
VFALSE
p70296
sbNNNg8
(g9
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NtRp70297
(dp70298
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Nsg14
Nsg15
VFALSE
p70299
sbNNg8
(g9
g10
NtRp70300
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g13
Nsg14
Nsg15
VFALSE
p70302
sbNNg8
(g9
g10
NtRp70303
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g13
Nsg14
Nsg15
VFALSE
p70305
sbNg8
(g9
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NtRp70306
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/98fed314-cc2a-4744-a4c9-1ee7473d58cb.png
p70308
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VEPSG:3035
p70311
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Nsg14
Nsg15
V2019-06-04
p70314
sbNg8
(g9
g10
NtRp70315
(dp70316
g13
Nsg14
Nsg15
VLand cover
p70317
sbg8
(g9
g10
NtRp70318
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g13
Nsg14
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Vforest management|land cover|land use|landscape alteration
p70320
sbg8
(g9
g10
NtRp70321
(dp70322
g13
Nsg14
Nsg15
Vgrid
p70323
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(g9
g10
NtRp70324
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g13
Nsg14
Nsg15
VGTiff
p70326
sbNg8
(g9
g10
NtRp70327
(dp70328
g13
Nsg14
Nsg15
V20m
p70329
sbNg8
(g9
g10
NtRp70330
(dp70331
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\u000aQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and (v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p70332
sbg8
(g9
g10
NtRp70333
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98fed314-cc2a-4744-a4c9-1ee7473d58cb
p70335
sbNNg8
(g9
g10
NtRp70336
(dp70337
g13
Nsg14
Nsg15
VFALSE
p70338
sbg8
(g9
g10
NtRp70339
(dp70340
g13
Nsg14
Nsg15
VEEA39
p70341
sbg8
(g9
g10
NtRp70342
(dp70343
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70344
sbg8
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g10
NtRp70345
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g13
Nsg14
Nsg15
VFALSE
p70347
sbg8
(g9
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NtRp70348
(dp70349
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70350
sbg8
(g9
g10
NtRp70351
(dp70352
g13
Nsg14
Nsg15
VFALSE
p70353
sbNNNNNNNg8
(g9
g10
NtRp70354
(dp70355
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70356
(dp70357
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70358
(dp70359
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer
p70360
sbg8
(g9
g10
NtRp70361
(dp70362
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_waw_2009-2015
p70363
sbNNtp70364
a(g8
(g9
g10
NtRp70365
(dp70366
g13
Nsg14
Nsg15
V7cc50241-0534-42c7-be99-76020463ebe6
p70367
sbNg8
(g9
g10
NtRp70368
(dp70369
g13
Nsg14
Nsg15
VCropland intensification trend by nutrient inputs 2005-2010, Nov. 2016
p70370
sbNNg8
(g23
g10
NtRp70371
(dp70372
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70373
sbNNg8
(g9
g10
NtRp70374
(dp70375
g13
Nsg14
Nsg15
VThe dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of cropland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.
p70376
sbNNg8
(g9
g10
NtRp70377
(dp70378
g13
Nsg14
Nsg15
VFALSE
p70379
sbNNNg8
(g9
g10
NtRp70380
(dp70381
g13
Nsg14
Nsg15
VFALSE
p70382
sbNNg8
(g9
g10
NtRp70383
(dp70384
g13
Nsg14
Nsg15
VFALSE
p70385
sbNNg8
(g9
g10
NtRp70386
(dp70387
g13
Nsg14
Nsg15
VFALSE
p70388
sbNg8
(g9
g10
NtRp70389
(dp70390
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7cc50241-0534-42c7-be99-76020463ebe6.png
p70391
sbg8
(g9
g10
NtRp70392
(dp70393
g13
Nsg14
Nsg15
VEPSG:3035
p70394
sbg8
(g9
g10
NtRp70395
(dp70396
g13
Nsg14
Nsg15
V2019-06-04
p70397
sbNg8
(g9
g10
NtRp70398
(dp70399
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p70400
sbg8
(g9
g10
NtRp70401
(dp70402
g13
Nsg14
Nsg15
Vagrosystem|land cover|land use|nutrient|pressure
p70403
sbg8
(g9
g10
NtRp70404
(dp70405
g13
Nsg14
Nsg15
Vvector
p70406
sbg8
(g9
g10
NtRp70407
(dp70408
g13
Nsg14
Nsg15
VSHP
p70409
sbNg8
(g9
g10
NtRp70410
(dp70411
g13
Nsg14
Nsg15
V1:1000000
p70412
sbNg8
(g9
g10
NtRp70413
(dp70414
g13
Nsg14
Nsg15
VNutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. \u000aThe input data was taken from the EEA draft nutrient accounts*, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map.\u000aEEA draft nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator.\u000a\u000a*http://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2015/1.8.2.2-assessment-critical-loads-nitrogen-phosphorus-and-cadmium-and-their/naccounts_uma
p70415
sbg8
(g9
g10
NtRp70416
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7cc50241-0534-42c7-be99-76020463ebe6
p70418
sbNNg8
(g9
g10
NtRp70419
(dp70420
g13
Nsg14
Nsg15
VFALSE
p70421
sbg8
(g9
g10
NtRp70422
(dp70423
g13
Nsg14
Nsg15
VEU28
p70424
sbg8
(g9
g10
NtRp70425
(dp70426
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70427
sbg8
(g9
g10
NtRp70428
(dp70429
g13
Nsg14
Nsg15
VFALSE
p70430
sbg8
(g9
g10
NtRp70431
(dp70432
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70433
sbg8
(g9
g10
NtRp70434
(dp70435
g13
Nsg14
Nsg15
VFALSE
p70436
sbNNNNNNNg8
(g9
g10
NtRp70437
(dp70438
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70439
(dp70440
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70441
(dp70442
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer
p70443
sbg8
(g9
g10
NtRp70444
(dp70445
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_cropland-intensification-nuts3_2005-2010
p70446
sbNNtp70447
a(g8
(g9
g10
NtRp70448
(dp70449
g13
Nsg14
Nsg15
V7067f539-e0e6-4be5-9f97-471362b8466c
p70450
sbNg8
(g9
g10
NtRp70451
(dp70452
g13
Nsg14
Nsg15
VCropland intensification by management practices in 2010, Nov. 2016
p70453
sbNNg8
(g23
g10
NtRp70454
(dp70455
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70456
sbNNg8
(g9
g10
NtRp70457
(dp70458
g13
Nsg14
Nsg15
VThe dataset shows the percentage of croplands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total cropland area within NUTS3 regions (NUTS2 for Germany).\u000aThe management pressure on croplands was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc).\u000aThis dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).
p70459
sbNNg8
(g9
g10
NtRp70460
(dp70461
g13
Nsg14
Nsg15
VFALSE
p70462
sbNNNg8
(g9
g10
NtRp70463
(dp70464
g13
Nsg14
Nsg15
VFALSE
p70465
sbNNg8
(g9
g10
NtRp70466
(dp70467
g13
Nsg14
Nsg15
VFALSE
p70468
sbNNg8
(g9
g10
NtRp70469
(dp70470
g13
Nsg14
Nsg15
VFALSE
p70471
sbNg8
(g9
g10
NtRp70472
(dp70473
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7067f539-e0e6-4be5-9f97-471362b8466c.png
p70474
sbg8
(g9
g10
NtRp70475
(dp70476
g13
Nsg14
Nsg15
VEPSG:3035
p70477
sbg8
(g9
g10
NtRp70478
(dp70479
g13
Nsg14
Nsg15
V2019-06-04
p70480
sbNg8
(g9
g10
NtRp70481
(dp70482
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p70483
sbg8
(g9
g10
NtRp70484
(dp70485
g13
Nsg14
Nsg15
Vland cover|land use|pressure|state
p70486
sbg8
(g9
g10
NtRp70487
(dp70488
g13
Nsg14
Nsg15
Vvector
p70489
sbg8
(g9
g10
NtRp70490
(dp70491
g13
Nsg14
Nsg15
VSHP
p70492
sbNg8
(g9
g10
NtRp70493
(dp70494
g13
Nsg14
Nsg15
V1:1000000
p70495
sbNg8
(g9
g10
NtRp70496
(dp70497
g13
Nsg14
Nsg15
VThe dataset shows the percentage of cropland highly pressured in 2010 respect to the total of cropland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany). \u000aThe state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011).\u000a\u000aThe dataset developed identifies the percentage of cropland areas highly pressured (classes 4 and 5) in 2010, respect to the total of cropland area by NUTS.\u000a\u000a* https://www.eea.europa.eu/publications/mapping-europes-ecosystems\u000a* https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems\u000a\u000aJacques P., F.J. Gallego 2005 The LUCAS project\u2014the new methodology in the 2005\u20132006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005)\u000a\u000aTemme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009
p70498
sbg8
(g9
g10
NtRp70499
(dp70500
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7067f539-e0e6-4be5-9f97-471362b8466c
p70501
sbNNg8
(g9
g10
NtRp70502
(dp70503
g13
Nsg14
Nsg15
VFALSE
p70504
sbg8
(g9
g10
NtRp70505
(dp70506
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom
p70507
sbg8
(g9
g10
NtRp70508
(dp70509
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p70510
sbg8
(g9
g10
NtRp70511
(dp70512
g13
Nsg14
Nsg15
VFALSE
p70513
sbg8
(g9
g10
NtRp70514
(dp70515
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70516
sbg8
(g9
g10
NtRp70517
(dp70518
g13
Nsg14
Nsg15
VFALSE
p70519
sbNNNNNNNg8
(g9
g10
NtRp70520
(dp70521
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70522
(dp70523
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70524
(dp70525
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_2010/MapServer
p70526
sbg8
(g9
g10
NtRp70527
(dp70528
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_high-intensification-cropland_2010
p70529
sbNNtp70530
a(g8
(g9
g10
NtRp70531
(dp70532
g13
Nsg14
Nsg15
V9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8
p70533
sbNg8
(g9
g10
NtRp70534
(dp70535
g13
Nsg14
Nsg15
VHigh Resolution Layer: Ploughing Indicator 2015 (raster 20m), May 2018
p70536
sbNNg8
(g23
g10
NtRp70537
(dp70538
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70539
sbNNg8
(g9
g10
NtRp70540
(dp70541
g13
Nsg14
Nsg15
VThe main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\u000aThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70542
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g13
Nsg14
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VFALSE
p70545
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Nsg15
VFALSE
p70548
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g10
NtRp70549
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VFALSE
p70551
sbNNg8
(g9
g10
NtRp70552
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Nsg14
Nsg15
VFALSE
p70554
sbNg8
(g9
g10
NtRp70555
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8.png
p70557
sbg8
(g9
g10
NtRp70558
(dp70559
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Nsg14
Nsg15
VEPSG:3035
p70560
sbg8
(g9
g10
NtRp70561
(dp70562
g13
Nsg14
Nsg15
V2019-06-04
p70563
sbNNg8
(g9
g10
NtRp70564
(dp70565
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70566
sbg8
(g9
g10
NtRp70567
(dp70568
g13
Nsg14
Nsg15
Vgrid
p70569
sbg8
(g9
g10
NtRp70570
(dp70571
g13
Nsg14
Nsg15
VGTiff
p70572
sbNg8
(g9
g10
NtRp70573
(dp70574
g13
Nsg14
Nsg15
V20m
p70575
sbNg8
(g9
g10
NtRp70576
(dp70577
g13
Nsg14
Nsg15
VThematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.
p70578
sbg8
(g9
g10
NtRp70579
(dp70580
g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8
p70581
sbNNg8
(g9
g10
NtRp70582
(dp70583
g13
Nsg14
Nsg15
VFALSE
p70584
sbg8
(g9
g10
NtRp70585
(dp70586
g13
Nsg14
Nsg15
VLand cover|EEA39
p70587
sbg8
(g9
g10
NtRp70588
(dp70589
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70590
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(g9
g10
NtRp70591
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g13
Nsg14
Nsg15
VFALSE
p70593
sbg8
(g9
g10
NtRp70594
(dp70595
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70596
sbg8
(g9
g10
NtRp70597
(dp70598
g13
Nsg14
Nsg15
VFALSE
p70599
sbNNNNNNNg8
(g9
g10
NtRp70600
(dp70601
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70602
(dp70603
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70604
(dp70605
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer
p70606
sbg8
(g9
g10
NtRp70607
(dp70608
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_plough_2010-2016
p70609
sbNNtp70610
a(g8
(g9
g10
NtRp70611
(dp70612
g13
Nsg14
Nsg15
V91762e0b-2e33-4c03-a317-81123b066a15
p70613
sbNg8
(g9
g10
NtRp70614
(dp70615
g13
Nsg14
Nsg15
VHigh Resolution Layer: Forest Additional Support Layer 2012 (raster 20m), May 2018
p70616
sbNNg8
(g23
g10
NtRp70617
(dp70618
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70619
sbNNg8
(g9
g10
NtRp70620
(dp70621
g13
Nsg14
Nsg15
VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70622
sbNNg8
(g9
g10
NtRp70623
(dp70624
g13
Nsg14
Nsg15
VFALSE
p70625
sbNNNg8
(g9
g10
NtRp70626
(dp70627
g13
Nsg14
Nsg15
VFALSE
p70628
sbNNg8
(g9
g10
NtRp70629
(dp70630
g13
Nsg14
Nsg15
VFALSE
p70631
sbNNg8
(g9
g10
NtRp70632
(dp70633
g13
Nsg14
Nsg15
VFALSE
p70634
sbNg8
(g9
g10
NtRp70635
(dp70636
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/91762e0b-2e33-4c03-a317-81123b066a15.png
p70637
sbg8
(g9
g10
NtRp70638
(dp70639
g13
Nsg14
Nsg15
VEPSG:3035
p70640
sbg8
(g9
g10
NtRp70641
(dp70642
g13
Nsg14
Nsg15
V2019-06-04
p70643
sbNNg8
(g9
g10
NtRp70644
(dp70645
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70646
sbg8
(g9
g10
NtRp70647
(dp70648
g13
Nsg14
Nsg15
Vgrid
p70649
sbg8
(g9
g10
NtRp70650
(dp70651
g13
Nsg14
Nsg15
VGTiff
p70652
sbNg8
(g9
g10
NtRp70653
(dp70654
g13
Nsg14
Nsg15
V20m
p70655
sbNg8
(g9
g10
NtRp70656
(dp70657
g13
Nsg14
Nsg15
VThe Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2012. Considering different options for separating real \u201cforest\u201d areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on "trees predominantly used for agricultural practices - broadleaved" (as derived from CLC classes 2.2.2 and 2.2.3) and "trees in urban context \u2013 broadleaved and coniferous" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product\u2019s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of "trees predominantly used for agricultural practices - broadleaved" and "trees in urban context \u2013 broadleaved and coniferous" \u2013 both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) \u2013 in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). \u000aGeometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed.\u000aQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p70658
sbg8
(g9
g10
NtRp70659
(dp70660
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91762e0b-2e33-4c03-a317-81123b066a15
p70661
sbNNg8
(g9
g10
NtRp70662
(dp70663
g13
Nsg14
Nsg15
VFALSE
p70664
sbg8
(g9
g10
NtRp70665
(dp70666
g13
Nsg14
Nsg15
VLand cover|EEA39
p70667
sbg8
(g9
g10
NtRp70668
(dp70669
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70670
sbg8
(g9
g10
NtRp70671
(dp70672
g13
Nsg14
Nsg15
VFALSE
p70673
sbg8
(g9
g10
NtRp70674
(dp70675
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70676
sbg8
(g9
g10
NtRp70677
(dp70678
g13
Nsg14
Nsg15
VFALSE
p70679
sbNNNNNNNg8
(g9
g10
NtRp70680
(dp70681
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70682
(dp70683
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70684
(dp70685
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer
p70686
sbg8
(g9
g10
NtRp70687
(dp70688
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_fadsl_2011-2013
p70689
sbNNtp70690
a(g8
(g9
g10
NtRp70691
(dp70692
g13
Nsg14
Nsg15
V35a036bb-c027-401c-8625-2ecf722e8461
p70693
sbNg8
(g9
g10
NtRp70694
(dp70695
g13
Nsg14
Nsg15
VHigh Resolution Layer: Grassland 2015 (raster 20m), Apr. 2018
p70696
sbNNg8
(g23
g10
NtRp70697
(dp70698
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70699
sbNNg8
(g9
g10
NtRp70700
(dp70701
g13
Nsg14
Nsg15
VThe main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\u000aThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70702
sbNNg8
(g9
g10
NtRp70703
(dp70704
g13
Nsg14
Nsg15
VFALSE
p70705
sbNNNg8
(g9
g10
NtRp70706
(dp70707
g13
Nsg14
Nsg15
VFALSE
p70708
sbNNg8
(g9
g10
NtRp70709
(dp70710
g13
Nsg14
Nsg15
VFALSE
p70711
sbNNg8
(g9
g10
NtRp70712
(dp70713
g13
Nsg14
Nsg15
VFALSE
p70714
sbNg8
(g9
g10
NtRp70715
(dp70716
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/35a036bb-c027-401c-8625-2ecf722e8461.png
p70717
sbg8
(g9
g10
NtRp70718
(dp70719
g13
Nsg14
Nsg15
VEPSG:3035
p70720
sbg8
(g9
g10
NtRp70721
(dp70722
g13
Nsg14
Nsg15
V2019-06-04
p70723
sbNNg8
(g9
g10
NtRp70724
(dp70725
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70726
sbg8
(g9
g10
NtRp70727
(dp70728
g13
Nsg14
Nsg15
Vgrid
p70729
sbg8
(g9
g10
NtRp70730
(dp70731
g13
Nsg14
Nsg15
VGTiff
p70732
sbNg8
(g9
g10
NtRp70733
(dp70734
g13
Nsg14
Nsg15
V20m
p70735
sbNg8
(g9
g10
NtRp70736
(dp70737
g13
Nsg14
Nsg15
VThematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.
p70738
sbg8
(g9
g10
NtRp70739
(dp70740
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/35a036bb-c027-401c-8625-2ecf722e8461
p70741
sbNNg8
(g9
g10
NtRp70742
(dp70743
g13
Nsg14
Nsg15
VFALSE
p70744
sbg8
(g9
g10
NtRp70745
(dp70746
g13
Nsg14
Nsg15
VLand cover|EEA39
p70747
sbg8
(g9
g10
NtRp70748
(dp70749
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70750
sbg8
(g9
g10
NtRp70751
(dp70752
g13
Nsg14
Nsg15
VFALSE
p70753
sbg8
(g9
g10
NtRp70754
(dp70755
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70756
sbg8
(g9
g10
NtRp70757
(dp70758
g13
Nsg14
Nsg15
VFALSE
p70759
sbNNNNNNNg8
(g9
g10
NtRp70760
(dp70761
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70762
(dp70763
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70764
(dp70765
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer
p70766
sbg8
(g9
g10
NtRp70767
(dp70768
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_gra_2014-2016
p70769
sbNNtp70770
a(g8
(g9
g10
NtRp70771
(dp70772
g13
Nsg14
Nsg15
Vb77b7ce3-04f8-44ae-aaae-b5e5af0f9682
p70773
sbNg8
(g9
g10
NtRp70774
(dp70775
g13
Nsg14
Nsg15
VHigh Resolution Layer: Grassland 2015 (raster 100m), Apr. 2018
p70776
sbNNg8
(g23
g10
NtRp70777
(dp70778
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?request=GetCapabilities&service=WMS
p70779
sbNNg8
(g9
g10
NtRp70780
(dp70781
g13
Nsg14
Nsg15
VThe main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\u000aThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70782
sbNNg8
(g9
g10
NtRp70783
(dp70784
g13
Nsg14
Nsg15
VFALSE
p70785
sbNNNg8
(g9
g10
NtRp70786
(dp70787
g13
Nsg14
Nsg15
VFALSE
p70788
sbNNg8
(g9
g10
NtRp70789
(dp70790
g13
Nsg14
Nsg15
VFALSE
p70791
sbNNg8
(g9
g10
NtRp70792
(dp70793
g13
Nsg14
Nsg15
VFALSE
p70794
sbNg8
(g9
g10
NtRp70795
(dp70796
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682.png
p70797
sbg8
(g9
g10
NtRp70798
(dp70799
g13
Nsg14
Nsg15
VEPSG:3035
p70800
sbg8
(g9
g10
NtRp70801
(dp70802
g13
Nsg14
Nsg15
V2019-06-04
p70803
sbNNg8
(g9
g10
NtRp70804
(dp70805
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70806
sbg8
(g9
g10
NtRp70807
(dp70808
g13
Nsg14
Nsg15
Vgrid
p70809
sbg8
(g9
g10
NtRp70810
(dp70811
g13
Nsg14
Nsg15
VGTiff
p70812
sbNg8
(g9
g10
NtRp70813
(dp70814
g13
Nsg14
Nsg15
V100m
p70815
sbNg8
(g9
g10
NtRp70816
(dp70817
g13
Nsg14
Nsg15
VThematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.
p70818
sbg8
(g9
g10
NtRp70819
(dp70820
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682
p70821
sbNNg8
(g9
g10
NtRp70822
(dp70823
g13
Nsg14
Nsg15
VFALSE
p70824
sbg8
(g9
g10
NtRp70825
(dp70826
g13
Nsg14
Nsg15
VLand cover|EEA39
p70827
sbg8
(g9
g10
NtRp70828
(dp70829
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70830
sbg8
(g9
g10
NtRp70831
(dp70832
g13
Nsg14
Nsg15
VFALSE
p70833
sbg8
(g9
g10
NtRp70834
(dp70835
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70836
sbg8
(g9
g10
NtRp70837
(dp70838
g13
Nsg14
Nsg15
VFALSE
p70839
sbNNNNNNNg8
(g9
g10
NtRp70840
(dp70841
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70842
(dp70843
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70844
(dp70845
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer
p70846
sbg8
(g9
g10
NtRp70847
(dp70848
g13
Nsg14
Nsg15
Vcopernicus_r_3035_100_m_gra_2014-2016
p70849
sbNNtp70850
a(g8
(g9
g10
NtRp70851
(dp70852
g13
Nsg14
Nsg15
V28b669b7-6b5c-4a51-a850-86646626b43d
p70853
sbNg8
(g9
g10
NtRp70854
(dp70855
g13
Nsg14
Nsg15
VHigh Resolution Layer: Forest Additional Support Layer 2015 (raster 20m), May 2018
p70856
sbNNg8
(g23
g10
NtRp70857
(dp70858
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70859
sbNNg8
(g9
g10
NtRp70860
(dp70861
g13
Nsg14
Nsg15
VThe high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \u000aThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70862
sbNNg8
(g9
g10
NtRp70863
(dp70864
g13
Nsg14
Nsg15
VFALSE
p70865
sbNNNg8
(g9
g10
NtRp70866
(dp70867
g13
Nsg14
Nsg15
VFALSE
p70868
sbNNg8
(g9
g10
NtRp70869
(dp70870
g13
Nsg14
Nsg15
VFALSE
p70871
sbNNg8
(g9
g10
NtRp70872
(dp70873
g13
Nsg14
Nsg15
VFALSE
p70874
sbNg8
(g9
g10
NtRp70875
(dp70876
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b669b7-6b5c-4a51-a850-86646626b43d.png
p70877
sbg8
(g9
g10
NtRp70878
(dp70879
g13
Nsg14
Nsg15
VEPSG:3035
p70880
sbg8
(g9
g10
NtRp70881
(dp70882
g13
Nsg14
Nsg15
V2019-06-04
p70883
sbNNg8
(g9
g10
NtRp70884
(dp70885
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70886
sbg8
(g9
g10
NtRp70887
(dp70888
g13
Nsg14
Nsg15
Vgrid
p70889
sbg8
(g9
g10
NtRp70890
(dp70891
g13
Nsg14
Nsg15
VGTiff
p70892
sbNg8
(g9
g10
NtRp70893
(dp70894
g13
Nsg14
Nsg15
V20m
p70895
sbNg8
(g9
g10
NtRp70896
(dp70897
g13
Nsg14
Nsg15
VThe Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2015. Considering different options for separating real \u201cforest\u201d areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on "trees predominantly used for agricultural practices - broadleaved" (as derived from CLC classes 2.2.2 and 2.2.3) and "trees in urban context \u2013 broadleaved and coniferous" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product\u2019s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of "trees predominantly used for agricultural practices - broadleaved" and "trees in urban context \u2013 broadleaved and coniferous" \u2013 both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) \u2013 in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). \u000aGeometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p70898
sbg8
(g9
g10
NtRp70899
(dp70900
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b669b7-6b5c-4a51-a850-86646626b43d
p70901
sbNNg8
(g9
g10
NtRp70902
(dp70903
g13
Nsg14
Nsg15
VFALSE
p70904
sbg8
(g9
g10
NtRp70905
(dp70906
g13
Nsg14
Nsg15
VLand cover|EEA39
p70907
sbg8
(g9
g10
NtRp70908
(dp70909
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70910
sbg8
(g9
g10
NtRp70911
(dp70912
g13
Nsg14
Nsg15
VFALSE
p70913
sbg8
(g9
g10
NtRp70914
(dp70915
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70916
sbg8
(g9
g10
NtRp70917
(dp70918
g13
Nsg14
Nsg15
VFALSE
p70919
sbNNNNNNNg8
(g9
g10
NtRp70920
(dp70921
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp70922
(dp70923
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp70924
(dp70925
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer
p70926
sbg8
(g9
g10
NtRp70927
(dp70928
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_fadsl_2014-2016
p70929
sbNNtp70930
a(g8
(g9
g10
NtRp70931
(dp70932
g13
Nsg14
Nsg15
V845c7684-703b-475a-b7f3-d7bd719b15f8
p70933
sbNg8
(g9
g10
NtRp70934
(dp70935
g13
Nsg14
Nsg15
VHigh Resolution Layer: Grassland Vegetation Probability Index 2015 (raster 20m), May 2018
p70936
sbNNg8
(g23
g10
NtRp70937
(dp70938
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p70939
sbNNg8
(g9
g10
NtRp70940
(dp70941
g13
Nsg14
Nsg15
VThe main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\u000aThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p70942
sbNNg8
(g9
g10
NtRp70943
(dp70944
g13
Nsg14
Nsg15
VFALSE
p70945
sbNNNg8
(g9
g10
NtRp70946
(dp70947
g13
Nsg14
Nsg15
VFALSE
p70948
sbNNg8
(g9
g10
NtRp70949
(dp70950
g13
Nsg14
Nsg15
VFALSE
p70951
sbNNg8
(g9
g10
NtRp70952
(dp70953
g13
Nsg14
Nsg15
VFALSE
p70954
sbNg8
(g9
g10
NtRp70955
(dp70956
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/845c7684-703b-475a-b7f3-d7bd719b15f8.png
p70957
sbg8
(g9
g10
NtRp70958
(dp70959
g13
Nsg14
Nsg15
VEPSG:3035
p70960
sbg8
(g9
g10
NtRp70961
(dp70962
g13
Nsg14
Nsg15
V2019-06-04
p70963
sbNNg8
(g9
g10
NtRp70964
(dp70965
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p70966
sbg8
(g9
g10
NtRp70967
(dp70968
g13
Nsg14
Nsg15
Vgrid
p70969
sbg8
(g9
g10
NtRp70970
(dp70971
g13
Nsg14
Nsg15
VGTiff
p70972
sbNg8
(g9
g10
NtRp70973
(dp70974
g13
Nsg14
Nsg15
V20m
p70975
sbNg8
(g9
g10
NtRp70976
(dp70977
g13
Nsg14
Nsg15
VThematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.
p70978
sbg8
(g9
g10
NtRp70979
(dp70980
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/845c7684-703b-475a-b7f3-d7bd719b15f8
p70981
sbNNg8
(g9
g10
NtRp70982
(dp70983
g13
Nsg14
Nsg15
VFALSE
p70984
sbg8
(g9
g10
NtRp70985
(dp70986
g13
Nsg14
Nsg15
VLand cover|EEA39
p70987
sbg8
(g9
g10
NtRp70988
(dp70989
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p70990
sbg8
(g9
g10
NtRp70991
(dp70992
g13
Nsg14
Nsg15
VFALSE
p70993
sbg8
(g9
g10
NtRp70994
(dp70995
g13
Nsg14
Nsg15
VEuropean Environment Agency
p70996
sbg8
(g9
g10
NtRp70997
(dp70998
g13
Nsg14
Nsg15
VFALSE
p70999
sbNNNNNNNg8
(g9
g10
NtRp71000
(dp71001
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71002
(dp71003
g13
Nsg14
Nsg15
V
sbNg8
(g23
g10
NtRp71004
(dp71005
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer
p71006
sbg8
(g9
g10
NtRp71007
(dp71008
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_gravpi_2014-2016
p71009
sbNNtp71010
a(g8
(g9
g10
NtRp71011
(dp71012
g13
Nsg14
Nsg15
V84765ed4-ae06-4280-b2ae-96d3e10ce532
p71013
sbNg8
(g9
g10
NtRp71014
(dp71015
g13
Nsg14
Nsg15
VHigh Resolution Layer: Water and Wetness Probability Index 2015 (raster 100m), May 2018
p71016
sbNNg8
(g23
g10
NtRp71017
(dp71018
g15
Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p71019
sbNNg8
(g9
g10
NtRp71020
(dp71021
g13
Nsg14
Nsg15
VThe combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\u000aThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p71022
sbNNg8
(g9
g10
NtRp71023
(dp71024
g13
Nsg14
Nsg15
VFALSE
p71025
sbNNNg8
(g9
g10
NtRp71026
(dp71027
g13
Nsg14
Nsg15
VFALSE
p71028
sbNNg8
(g9
g10
NtRp71029
(dp71030
g13
Nsg14
Nsg15
VFALSE
p71031
sbNNg8
(g9
g10
NtRp71032
(dp71033
g13
Nsg14
Nsg15
VFALSE
p71034
sbNg8
(g9
g10
NtRp71035
(dp71036
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/84765ed4-ae06-4280-b2ae-96d3e10ce532.png
p71037
sbg8
(g9
g10
NtRp71038
(dp71039
g13
Nsg14
Nsg15
VEPSG:3035
p71040
sbg8
(g9
g10
NtRp71041
(dp71042
g13
Nsg14
Nsg15
V2019-06-04
p71043
sbNNg8
(g9
g10
NtRp71044
(dp71045
g13
Nsg14
Nsg15
Vforest management|land cover|land use|landscape alteration
p71046
sbg8
(g9
g10
NtRp71047
(dp71048
g13
Nsg14
Nsg15
Vgrid
p71049
sbg8
(g9
g10
NtRp71050
(dp71051
g13
Nsg14
Nsg15
VGTiff
p71052
sbNg8
(g9
g10
NtRp71053
(dp71054
g13
Nsg14
Nsg15
V100m
p71055
sbNg8
(g9
g10
NtRp71056
(dp71057
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\u000aQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and (v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p71058
sbg8
(g9
g10
NtRp71059
(dp71060
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84765ed4-ae06-4280-b2ae-96d3e10ce532
p71061
sbg8
(g9
g10
NtRp71062
(dp71063
g13
Nsg14
g74
sg15
V2009
p71064
sbg8
(g9
g10
NtRp71065
(dp71066
g13
Nsg14
g74
sg15
V2015
p71067
sbg8
(g9
g10
NtRp71068
(dp71069
g13
Nsg14
Nsg15
VTRUE
p71070
sbg8
(g9
g10
NtRp71071
(dp71072
g13
Nsg14
Nsg15
VLand cover|EEA39
p71073
sbg8
(g9
g10
NtRp71074
(dp71075
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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p71079
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer
p71092
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Vcopernicus_r_3035_100_m_wwpi_2009-2015
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p71099
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VHigh Resolution Layer: Water and Wetness 2015 (raster 100m), Mar. 2018
p71102
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p71105
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VThe combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\u000aThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p71108
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p71111
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p71114
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p71117
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p71120
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p71123
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p71126
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p71129
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Vforest management|land cover|land use|landscape alteration
p71132
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p71138
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V100m
p71141
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\u000aQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and (v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8108e203-59db-4672-b9e0-c1863fd6523b
p71147
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V2009
p71150
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V2015
p71153
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VTRUE
p71156
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VLand cover|EEA39
p71159
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VFALSE
p71165
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VEuropean Environment Agency
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VFALSE
p71171
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer
p71178
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Vcopernicus_r_3035_100_m_waw_2009-2015
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VHigh Resolution Layer: Water and Wetness Probability Index 2015 (raster 20m), May 2018
p71188
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0
p71191
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VThe combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\u000aThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p71194
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VFALSE
p71197
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p71200
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VFALSE
p71203
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VFALSE
p71206
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p71212
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V2019-06-04
p71215
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Vforest management|land cover|land use|landscape alteration
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Vgrid
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\u000aQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and (v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p71230
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af91f4e-9e85-4df7-a1f8-8b96fec27acf
p71233
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V2009
p71236
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V2015
p71239
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VTRUE
p71242
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VLand cover|EEA39
p71245
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p71248
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VFALSE
p71251
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VEuropean Environment Agency
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VFALSE
p71257
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer
p71264
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Vcopernicus_r_3035_20_m_wwpi_2009-2015
p71267
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V454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b
p71271
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g10
NtRp71272
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g13
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VHigh Resolution Layer: Imperviousness Classified Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018
p71274
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Vhttps://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS
p71277
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NtRp71278
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p71280
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VFALSE
p71283
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VFALSE
p71286
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VFALSE
p71289
sbNNg8
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VFALSE
p71292
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b.png
p71295
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VEPSG:3035
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V2019-06-04
p71301
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b
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V2006
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p71325
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VTRUE
p71328
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VLand cover|EEA39
p71331
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p71334
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VFALSE
p71337
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VEuropean Environment Agency
p71340
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VFALSE
p71343
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V
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Vhttps://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer
p71350
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Vcopernicus_r_3035_20_m_imcc_2006-2012
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V50dd4172-ba90-4d6d-90ef-88f5d1d84795
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VCDDA
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VNationally designated areas (CDDA) polygons for public access - version 17, Jun. 2019
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VThe European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\u000a\u000aThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\u000a\u000aEEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.\u000a\u000aTwo versions of the dataset are provided. The full dataset ("CDDA_2019_v01_public") includes the entire geographical coverage including nationally designated areas in overseas entities. The "CDDA_2019_v01_public_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats.
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VFALSE
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VFALSE
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VFALSE
p71375
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VFALSE
p71378
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/50dd4172-ba90-4d6d-90ef-88f5d1d84795.png
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VEPSG:3035
p71384
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V2019-06-19
p71387
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VProtected sites
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Vnatural area|natural areas protection|protected area
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Vvector
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VGeopackage|PGeo
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V1:100000
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VProduction process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50dd4172-ba90-4d6d-90ef-88f5d1d84795
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VFALSE
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VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA), Estonian Environmental Register 01.01.2019, ©Finnish Environment Institute, 2018.
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VFALSE
p71420
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VEuropean Environment Agency
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VFALSE
p71426
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V
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V
sbg8
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Nsg15
VBiodiversity
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Veea_v_3035_100_k_cdda-poly_p_2018-2019_v17_r00
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V81754d01-8bc3-49aa-a52c-86b3d212f94e
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NtRp71441
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Vforest_habitats_species_richness_2012
p71443
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NtRp71444
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VRichness of forest-related species and habitats indicator 2012 dataset, Nov. 2018
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VThis dataset refers to the Richness index of Species and Habitats of Conservation Concern indicator. This indicator has been developed to be used as a sub-indicator for contributing to the identification of the High Nature Value (HNV) Forest Areas as it will be integrated with other sub-indicators of horizontal structure, management and naturalness to generate the final composite indicator. It is composed itself of three sub-indicators: \u201cForest Non-bird species\u201d, \u201cForest bird species\u201d and \u201cForest habitats\u201d. All the three sub-indicators build on distribution data from the reporting of habitat and species conservation status under Article 17 of the Habitats Directive and Article 12 of the Birds directive which describe their distribution at 10km grid resolution. The forest species and the forest habitats proposed to be used for the HNV forest area identification were selected based on expert judgement (ETC/BD) and raster files reporting the count of forest species and habitats were created. At this stage, no weight is applied based on Habitat and Species prioritization, conservation status or endemism. \u000aThe sub-indicators were then normalized for each European forest type and successively combined not assigning any specific weight to a particular sub-indicator.\u000aThe values for this indicator, present in this dataset, ranges between 0 and 1. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0. It covers the forested areas of the EU27 Member States except for Cyprus (data from Croatia will be reported starting from the next update regarding the period 2013-2018).
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VFALSE
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VFALSE
p71455
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VFALSE
p71458
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VFALSE
p71461
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Vhttps://sdi.eea.europa.eu/editor-catalogue/srv/api/records/86356e26-cc03-4689-9795-d1e8eccc22b7/attachments/eea_r_3035_1_km_forest-richness-hab-sps_2012.png
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VEPSG:3035
p71467
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NtRp71468
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Nsg15
V2019-07-17
p71470
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NtRp71471
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VHabitats and biotopes|Species distribution
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Vconservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest
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Nsg15
Vgrid
p71479
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(g9
g10
NtRp71480
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g13
Nsg14
Nsg15
VGTiff
p71482
sbNg8
(g9
g10
NtRp71483
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g13
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Nsg15
V1km
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VThe dataset shows a dimensionless indicator (values between 0 and 1) to assess the biodiversity values of forested areas in Europe. It has been developed starting from 10km resolution data and the final output is at 1km resolution, GeoTiff format. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0.\u000aThe input data derives from the information about habitat and species conservation status that Member States report under the Art.17 and Art.12 reporting obligations. \u000aThe information about presence-absence of each species has been used to count the total number of forest bird species, forest non-bird species and forest habitats per 10km pixel and produce three related sub-indicators. A mask Forest-NonForest at 1km resolution has been applied to the input sub-indicators to consider only forested area.\u000aEach sub-indicator has then been normalized per forest type: Boreal, Hemiboreal, Alpine Coniferous, Acidophylous oakwood, Mesophytic deciduous, Beech, Mountainous beech, Thermophilous beech, Broadleaved evergreen and Coniferous Mediterranean. The composite indicator of forest biodiversity was then derived summing per each pixel the values of the single input sub-indicators. The final Forest Biodiversity indicator was then rescaled to values between 0 and 1.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81754d01-8bc3-49aa-a52c-86b3d212f94e
p71491
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VFALSE
p71494
sbg8
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NtRp71495
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VBulgaria|Czechia|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia
p71497
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NtRp71498
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p71500
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VFALSE
p71503
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VEuropean Environment Agency
p71506
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VFALSE
p71509
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V
sbg8
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g13
Nsg14
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V
sbg8
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g10
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g13
Nsg14
Nsg15
VForest
p71516
sbNg8
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Veea_r_3035_1_km_forest-richness-hab-sps_p_2007-2012_v01_r00
p71519
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g10
NtRp71521
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V1f598e5a-66af-4981-970d-28b1f0c29648
p71523
sbg8
(g9
g10
NtRp71524
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g13
Nsg14
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Vforest_assemblage_species_2006
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sbg8
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g10
NtRp71527
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VNatural assemblage tree species indicator 2006 dataset, Nov. 2017
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VThe natural assemblage species indicator dataset is a forest dataset that measures the congruency between the potential and current tree species distribution. The natural assemblage indicator is considered one of the key indicator for the identification of High Nature Value forest area in Europe. The reference year for this data set is 2006 and the spatial coverage is including the 28 EU Member States, Liechtenstein, Norway, Switzerland, and Turkey.\u000a\u000aThe methodological approach is based on two data sources: (1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability \u2013EEA- as potential distribution; (2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species \u2013JRC- as current distribution\u000a\u000aThe dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.
p71532
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VFALSE
p71535
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VFALSE
p71538
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VFALSE
p71541
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VFALSE
p71544
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g10
NtRp71545
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f598e5a-66af-4981-970d-28b1f0c29648.png
p71547
sbg8
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g10
NtRp71548
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g13
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Nsg15
VEPSG:3035
p71550
sbg8
(g9
g10
NtRp71551
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g13
Nsg14
Nsg15
V2019-07-17
p71553
sbNg8
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g10
NtRp71554
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Nsg14
Nsg15
VHabitats and biotopes|Species distribution
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g10
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Vconservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest
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Nsg14
Nsg15
Vgrid
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g10
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Nsg14
Nsg15
VGTiff
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NtRp71566
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V1km
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VThe natural assemblage species indicator is a proxy for measuring the congruency between the potential and current tree species distribution. \u000a\u000aThe data sources are: \u000a(1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability \u2013EEA- as potential distribution.\u000a(2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species \u2013JRC- as current distribution.\u000a\u000aThe EUNIS dataset provides information about forest habitats and EU tree atlas about tree species indicator. In order to get and harmonized unit of mapping the tree species datasets have been grouping according to the dominant species by each EUNIS habitat types by a cross relation table.\u000a\u000aThe natural assemblage species indicator requires information about the habitat suitability distribution. For this purpose, the EUNIS habitats distribution maps have to be converted into Boolean data showing value = 0 where the area is not suitable and value =1 where the area is suitable for a particular habitat. The EUNIS fuzzy values where converted to Boolean maps using as thresholds defined by the percentile 25 of the statistical distribution of the relevés points linking to the EUNIS habitats suitability raster. \u000aIn order to assess the congruency of current vegetation with the potential distribution of forest types we developed the following index\u000aFractional congruency of forest species composition=\u2211(C\u2219P)i   \u000a\u000aWhere i are the EUNIS forest habitats, C represents the current fractional area cover of dominant assemblage tree species according to the JRC maps and expressed in the fuzzy values between 0 and 1 and P is the presence of the i-th EUNIS habitats in the potential vegetation expressed with a Boolean value of 0 (absence) or 1 (presence).\u000aAs is show in the next figure, the Natural assemblage species indicator is an overlapping indicator of the individual Natural assemblage species index layers (one per EUNIS habitats). Due to, according to the potential distribution maps, one cell could be potentially suitable for several EUNIS habitats types, in the overlapping cells, the output cell is the maximum value of input cells\u000aThe dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.
p71571
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f598e5a-66af-4981-970d-28b1f0c29648
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VFALSE
p71577
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g10
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Nsg15
VEU28|Liechtenstein|Norway|Switzerland|Turkey
p71580
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NtRp71581
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VFALSE
p71586
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VEuropean Environment Agency
p71589
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VFALSE
p71592
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V
sbg8
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V
sbg8
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g10
NtRp71597
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Nsg14
Nsg15
VForest
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sbNg8
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g10
NtRp71600
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Veea_r_3035_1_km_forest-assemblage-sps_p_2006_v01_r00
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V2588fc43-d855-439b-a6e9-941a59a0e50e
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sbg8
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g10
NtRp71607
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Vforest_area_2012
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g10
NtRp71610
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VForest Area 2012 based on Copernicus HRL Forest products - version 1, Oct. 2018
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VThis data set shows the European forest area in 2012 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). \u000aAfter the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).
p71615
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NtRp71616
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VFALSE
p71618
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VFALSE
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VFALSE
p71624
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g10
NtRp71625
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VFALSE
p71627
sbNg8
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g10
NtRp71628
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2588fc43-d855-439b-a6e9-941a59a0e50e.png
p71630
sbg8
(g9
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NtRp71631
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Nsg15
VEPSG:3035
p71633
sbg8
(g9
g10
NtRp71634
(dp71635
g13
Nsg14
Nsg15
V2019-07-17
p71636
sbNg8
(g9
g10
NtRp71637
(dp71638
g13
Nsg14
Nsg15
VLand cover|Land use
p71639
sbg8
(g9
g10
NtRp71640
(dp71641
g13
Nsg14
Nsg15
Vafforestation|forestry|forestry unit|indicator
p71642
sbg8
(g9
g10
NtRp71643
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g13
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Nsg15
Vgrid
p71645
sbg8
(g9
g10
NtRp71646
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g13
Nsg14
Nsg15
VGTiff
p71648
sbNg8
(g9
g10
NtRp71649
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V100m
p71651
sbNg8
(g9
g10
NtRp71652
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g13
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VThis dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use).\u000aThe forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2012-.\u000aBy the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition.\u000aThe forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest area, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.
p71654
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NtRp71655
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2588fc43-d855-439b-a6e9-941a59a0e50e
p71657
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NtRp71658
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Nsg14
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VFALSE
p71660
sbg8
(g9
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NtRp71661
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g13
Nsg14
Nsg15
VEEA39
p71663
sbg8
(g9
g10
NtRp71664
(dp71665
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p71666
sbg8
(g9
g10
NtRp71667
(dp71668
g13
Nsg14
Nsg15
VFALSE
p71669
sbg8
(g9
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NtRp71670
(dp71671
g13
Nsg14
Nsg15
VEuropean Environment Agency
p71672
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(g9
g10
NtRp71673
(dp71674
g13
Nsg14
Nsg15
VFALSE
p71675
sbNNNNNNNg8
(g9
g10
NtRp71676
(dp71677
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71678
(dp71679
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71680
(dp71681
g13
Nsg14
Nsg15
VForest
p71682
sbNg8
(g9
g10
NtRp71683
(dp71684
g13
Nsg14
Nsg15
Veea_r_3035_100_m_forest-area-2012_p_2012_v01_r00
p71685
sbNNtp71686
a(g8
(g9
g10
NtRp71687
(dp71688
g13
Nsg14
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V59acf70f-f5dc-4d4b-8c62-cfece878e795
p71689
sbg8
(g9
g10
NtRp71690
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g13
Nsg14
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VEIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units
p71692
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g10
NtRp71693
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Nsg14
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VWISE EIONET Spatial Datasets - INTERNAL VERSION - version 1.3, Apr. 2019
p71695
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g10
NtRp71696
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VThe dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-12. \u000a\u000aThis data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. \u000aPlease search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\u000aFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive".\u000a\u000aRelevant concepts: \u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\u000aAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\u000aLake: Body of standing inland surface water.\u000aRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.
p71698
sbNNg8
(g9
g10
NtRp71699
(dp71700
g13
Nsg14
Nsg15
VFALSE
p71701
sbNNNg8
(g9
g10
NtRp71702
(dp71703
g13
Nsg14
Nsg15
VFALSE
p71704
sbNNg8
(g9
g10
NtRp71705
(dp71706
g13
Nsg14
Nsg15
VFALSE
p71707
sbNNg8
(g9
g10
NtRp71708
(dp71709
g13
Nsg14
Nsg15
VFALSE
p71710
sbNg8
(g9
g10
NtRp71711
(dp71712
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/59acf70f-f5dc-4d4b-8c62-cfece878e795.png
p71713
sbg8
(g9
g10
NtRp71714
(dp71715
g13
Nsg14
Nsg15
VEPSG:4326
p71716
sbg8
(g9
g10
NtRp71717
(dp71718
g13
Nsg14
Nsg15
V2019-06-04
p71719
sbNg8
(g9
g10
NtRp71720
(dp71721
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water
p71722
sbg8
(g9
g10
NtRp71723
(dp71724
g13
Nsg14
Nsg15
Vaquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management
p71725
sbg8
(g9
g10
NtRp71726
(dp71727
g13
Nsg14
Nsg15
Vvector
p71728
sbg8
(g9
g10
NtRp71729
(dp71730
g13
Nsg14
Nsg15
VSHP|Spatialite
p71731
sbNg8
(g9
g10
NtRp71732
(dp71733
g13
Nsg14
Nsg15
V1:250000
p71734
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(g9
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NtRp71735
(dp71736
g13
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000acYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\u000acountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\u000alat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000alon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\u000astatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\u000astatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\u000aremarks:Additional information about the status code of the superseding object, if any.\u000aqcCheck:Additional information about checks performed in the data.\u000a\u000a2) Data sources\u000a\u000aInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\u000a\u000aAdditional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\u000a\u000aFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \u000a\u000a3) Data processing\u000a\u000aThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \u000a\u000aFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\u000a\u000aThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\u000a\u000a5) WISE registers\u000a\u000aFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\u000a\u000aFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\u000a\u000aFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite
p71737
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(g9
g10
NtRp71738
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59acf70f-f5dc-4d4b-8c62-cfece878e795
p71740
sbNNg8
(g9
g10
NtRp71741
(dp71742
g13
Nsg14
Nsg15
VFALSE
p71743
sbg8
(g9
g10
NtRp71744
(dp71745
g13
Nsg14
Nsg15
VEEA39
p71746
sbg8
(g9
g10
NtRp71747
(dp71748
g13
Nsg14
Nsg15
VThe dataset contains parts which are restricted by the data providers and not to be made public.
p71749
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(g9
g10
NtRp71750
(dp71751
g13
Nsg14
Nsg15
VFALSE
p71752
sbg8
(g9
g10
NtRp71753
(dp71754
g13
Nsg14
Nsg15
VEuropean Environment Agency
p71755
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(g9
g10
NtRp71756
(dp71757
g13
Nsg14
Nsg15
VFALSE
p71758
sbNNNNNNNg8
(g9
g10
NtRp71759
(dp71760
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71761
(dp71762
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71763
(dp71764
g13
Nsg14
Nsg15
VWater
p71765
sbNg8
(g9
g10
NtRp71766
(dp71767
g13
Nsg14
Nsg15
Veea_v_4326_250_k_wise-eionet_i_2001-2019_v01_r03
p71768
sbNNtp71769
a(g8
(g9
g10
NtRp71770
(dp71771
g13
Nsg14
Nsg15
Vafe358ed-2c31-4176-8a83-13a530c57091
p71772
sbg8
(g9
g10
NtRp71773
(dp71774
g13
Nsg14
Nsg15
Vforest_area_2015
p71775
sbg8
(g9
g10
NtRp71776
(dp71777
g13
Nsg14
Nsg15
VForest Area 2015 based on Copernicus HRL Forest products - version 1, Oct. 2018
p71778
sbNNNNNg8
(g9
g10
NtRp71779
(dp71780
g13
Nsg14
Nsg15
VThis data set shows the European forest area in 2015 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use).\u000aAfter the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).
p71781
sbNNg8
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g10
NtRp71782
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g13
Nsg14
Nsg15
VFALSE
p71784
sbNNNg8
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NtRp71785
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g13
Nsg14
Nsg15
VFALSE
p71787
sbNNg8
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g10
NtRp71788
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g13
Nsg14
Nsg15
VFALSE
p71790
sbNNg8
(g9
g10
NtRp71791
(dp71792
g13
Nsg14
Nsg15
VFALSE
p71793
sbNg8
(g9
g10
NtRp71794
(dp71795
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/afe358ed-2c31-4176-8a83-13a530c57091.png
p71796
sbg8
(g9
g10
NtRp71797
(dp71798
g13
Nsg14
Nsg15
VEPSG:3035
p71799
sbg8
(g9
g10
NtRp71800
(dp71801
g13
Nsg14
Nsg15
V2019-06-19
p71802
sbNg8
(g9
g10
NtRp71803
(dp71804
g13
Nsg14
Nsg15
VLand cover|Land use
p71805
sbg8
(g9
g10
NtRp71806
(dp71807
g13
Nsg14
Nsg15
Vafforestation|forestry|forestry unit|indicator
p71808
sbg8
(g9
g10
NtRp71809
(dp71810
g13
Nsg14
Nsg15
Vgrid
p71811
sbg8
(g9
g10
NtRp71812
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g13
Nsg14
Nsg15
VGTiff
p71814
sbNg8
(g9
g10
NtRp71815
(dp71816
g13
Nsg14
Nsg15
V100m
p71817
sbNg8
(g9
g10
NtRp71818
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g13
Nsg14
Nsg15
VThis dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). \u000aThe forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2015-. \u000aBy the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition.\u000aThe forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.
p71820
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g10
NtRp71821
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/afe358ed-2c31-4176-8a83-13a530c57091
p71823
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g10
NtRp71824
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g13
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VFALSE
p71826
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g10
NtRp71827
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g13
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VEEA39
p71829
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g10
NtRp71830
(dp71831
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p71832
sbg8
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g10
NtRp71833
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g13
Nsg14
Nsg15
VFALSE
p71835
sbg8
(g9
g10
NtRp71836
(dp71837
g13
Nsg14
Nsg15
VEuropean Environment Agency
p71838
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(g9
g10
NtRp71839
(dp71840
g13
Nsg14
Nsg15
VFALSE
p71841
sbNNNNNNNg8
(g9
g10
NtRp71842
(dp71843
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71844
(dp71845
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp71846
(dp71847
g13
Nsg14
Nsg15
VForest
p71848
sbNg8
(g9
g10
NtRp71849
(dp71850
g13
Nsg14
Nsg15
Veea_r_3035_100_m_forest-area-2015_p_2015_v01_r00
p71851
sbNNtp71852
a(g8
(g9
g10
NtRp71853
(dp71854
g13
Nsg14
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V463f357e-6419-461b-9ed1-c38948a75f09
p71855
sbg8
(g9
g10
NtRp71856
(dp71857
g13
Nsg14
Nsg15
VImperviousness_Change_20m_2012-2015
p71858
sbg8
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g10
NtRp71859
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g13
Nsg14
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VHigh Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 20m), Apr. 2018
p71861
sbNNNNNg8
(g9
g10
NtRp71862
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g13
Nsg14
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p71864
sbNNg8
(g9
g10
NtRp71865
(dp71866
g13
Nsg14
Nsg15
VFALSE
p71867
sbNNNg8
(g9
g10
NtRp71868
(dp71869
g13
Nsg14
Nsg15
VFALSE
p71870
sbNNg8
(g9
g10
NtRp71871
(dp71872
g13
Nsg14
Nsg15
VFALSE
p71873
sbNNg8
(g9
g10
NtRp71874
(dp71875
g13
Nsg14
Nsg15
VFALSE
p71876
sbNg8
(g9
g10
NtRp71877
(dp71878
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/463f357e-6419-461b-9ed1-c38948a75f09.png
p71879
sbg8
(g9
g10
NtRp71880
(dp71881
g13
Nsg14
Nsg15
VEPSG:3035
p71882
sbg8
(g9
g10
NtRp71883
(dp71884
g13
Nsg14
Nsg15
V2019-06-04
p71885
sbNg8
(g9
g10
NtRp71886
(dp71887
g13
Nsg14
Nsg15
VLand cover
p71888
sbg8
(g9
g10
NtRp71889
(dp71890
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p71891
sbg8
(g9
g10
NtRp71892
(dp71893
g13
Nsg14
Nsg15
Vgrid
p71894
sbg8
(g9
g10
NtRp71895
(dp71896
g13
Nsg14
Nsg15
VGTiff
p71897
sbNg8
(g9
g10
NtRp71898
(dp71899
g13
Nsg14
Nsg15
V20m
p71900
sbNg8
(g9
g10
NtRp71901
(dp71902
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/463f357e-6419-461b-9ed1-c38948a75f09
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p71915
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p71918
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VEuropean Environment Agency
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p71924
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Vcopernicus_r_3035_20_m_imdc_2011-2016
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V9538a26a-d55d-4ba0-b77c-92eeb61d3061
p71938
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VRiparian_Zones_Green_Linear_Element
p71941
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VRiparian Zones Green Linear Elements (vector), Aug. 2015
p71944
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VRiparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\u000a\u000aThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\u000a\u000aGreen Linear Elements (GLE) are ecologically significant, structural landscape elements which act as important dispersion vectors of biodiversity. GLEs comprise hedgerows and lines of trees and offer a wide range of ecosystem services: they are linked to both landscape richness and fragmentation of habitats, with a direct potential for restoration, and contribute also to hazard protection. Green linear elements form part of the Green Infrastructure and are specifically addressed in the EU Biodiversity Strategy 2020. The GLE product provides reliable and detailed geospatial information on the occurrence and spatial distribution of: Small linear vegetation features such as hedgerows, scrub and tree rows with a minimum length of 100m and a width of up to 10m; Isolated patches of trees and scrub with a size between 500 m² and 0.5 ha. Green linear elements including trees and hedgerows with 100m minimum length and 500 m² Minimum Mapping Unit (MMU).\u000a\u000aThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
p71947
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VFALSE
p71950
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VFALSE
p71953
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9538a26a-d55d-4ba0-b77c-92eeb61d3061.png
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VEPSG:3035
p71965
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V2019-06-04
p71968
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VLand cover
p71971
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Nsg14
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Vhedge|land cover|land use|landscape alteration|riparian zone|tree
p71974
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NtRp71975
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Nsg14
Nsg15
Vvector
p71977
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VSHP
p71980
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V10m
p71983
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VSemi-automatic classification and visual interpretation of Green Linear Elements (Nomenclature: 1: trees; 2: hedgerows and scrub) on 1.5m SPOT-6 and 2.5m SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) with subsequently automated GIS-based generalisation. Geometric differentiation into linear structures as well as patches by considering a compactness factor (1. Linear structures of hedgerows/scrub and tree rows; 2. Patches of tree and hedgerows/scrub).\u000aMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.
p71986
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NtRp71987
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9538a26a-d55d-4ba0-b77c-92eeb61d3061
p71989
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Nsg15
VFALSE
p71992
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NtRp71993
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g13
Nsg14
Nsg15
VEEA39
p71995
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(g9
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NtRp71996
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p71998
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VFALSE
p72001
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NtRp72002
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g13
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VEuropean Environment Agency
p72004
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NtRp72005
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VFALSE
p72007
sbNNNNNNNg8
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NtRp72008
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72010
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72012
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Nsg14
Nsg15
VLand_cover
p72014
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Vcopernicus_v_3035_10_m_gle_2011-2013
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Ve61d0641-ef07-4224-a6ed-6d2d42a4ef23
p72021
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NtRp72022
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VRiparian_Zones
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g10
NtRp72025
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Nsg14
Nsg15
VRiparian Zones Delineation (raster), Aug. 2015
p72027
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VRiparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\u000a\u000aThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\u000a\u000aThe delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones\u2019 LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services.\u000a\u000aThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
p72030
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VFALSE
p72033
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VFALSE
p72036
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VFALSE
p72039
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VFALSE
p72042
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png
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VEPSG:3035
p72048
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Nsg14
Nsg15
V2019-06-04
p72051
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Nsg14
Nsg15
VLand cover
p72054
sbg8
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Vbank (land)|filtration|freshwater ecosystem|land use|landscape alteration|riparian zone
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Vgrid
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VGTiff
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V50m
p72066
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VThe calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach.
p72069
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e61d0641-ef07-4224-a6ed-6d2d42a4ef23
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VFALSE
p72075
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VEEA39
p72078
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p72081
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VFALSE
p72084
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VEuropean Environment Agency
p72087
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VFALSE
p72090
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V
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V
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VLand_cover
p72097
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Vcopernicus_r_3035_50_m_rzd_2011-2013
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V56b5c27b-ffaa-45c7-9b39-085dcbe725e4
p72104
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VImperviousness_Change_100m_2012-2015
p72107
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VHigh Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 100m), Apr. 2018
p72110
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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p72116
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p72119
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p72122
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VEPSG:3035
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V2019-06-04
p72134
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VLand cover
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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V100m
p72149
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56b5c27b-ffaa-45c7-9b39-085dcbe725e4
p72155
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VFALSE
p72158
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VEEA39
p72161
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p72164
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VFALSE
p72167
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VEuropean Environment Agency
p72170
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VFALSE
p72173
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V
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V
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Nsg15
VLand_cover
p72180
sbNg8
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NtRp72181
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g13
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Vcopernicus_r_3035_100_m_imdc_2011-2016
p72183
sbNNtp72184
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V4023528f-430d-402b-be16-91b6a6487be6
p72187
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VImperviousness_Density_20m_2012
p72190
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g10
NtRp72191
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g13
Nsg14
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VHigh Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2018
p72193
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p72196
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VFALSE
p72199
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VFALSE
p72202
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VFALSE
p72205
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VFALSE
p72208
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4023528f-430d-402b-be16-91b6a6487be6.png
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VEPSG:3035
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V2019-06-04
p72217
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VLand cover
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p72223
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Vgrid
p72226
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Nsg14
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VGTiff
p72229
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g13
Nsg14
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V20m
p72232
sbNg8
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p72235
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4023528f-430d-402b-be16-91b6a6487be6
p72238
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VFALSE
p72241
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NtRp72242
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g13
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VEEA39
p72244
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NtRp72245
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g13
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p72247
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(g9
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NtRp72248
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g13
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VFALSE
p72250
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NtRp72251
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g13
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VEuropean Environment Agency
p72253
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NtRp72254
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VFALSE
p72256
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NtRp72257
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V
sbg8
(g9
g10
NtRp72259
(dp72260
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72261
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g13
Nsg14
Nsg15
VLand_cover
p72263
sbNg8
(g9
g10
NtRp72264
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g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imd_2011-2013
p72266
sbNNtp72267
a(g8
(g9
g10
NtRp72268
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g13
Nsg14
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V4f773546-a667-487e-b3be-fed4f257352d
p72270
sbg8
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g10
NtRp72271
(dp72272
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Nsg14
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VNUTS2013
p72273
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(g9
g10
NtRp72274
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VGISCO - Nomenclature of Territorial Units for Statistics 2013 (NUTS), Dec. 2015
p72276
sbNNNNNg8
(g9
g10
NtRp72277
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g13
Nsg14
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VThis dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2013. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 8.x (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.\u000aThis metadata only refers to the full dataset at 100k and shall only be used internally by the EEA  following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2013.xml) is also available for download together with the dataset.\u000aThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts13.
p72279
sbNNg8
(g9
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NtRp72280
(dp72281
g13
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VFALSE
p72282
sbNNNg8
(g9
g10
NtRp72283
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g13
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VFALSE
p72285
sbNNg8
(g9
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NtRp72286
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g13
Nsg14
Nsg15
VFALSE
p72288
sbNNg8
(g9
g10
NtRp72289
(dp72290
g13
Nsg14
Nsg15
VFALSE
p72291
sbNg8
(g9
g10
NtRp72292
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4f773546-a667-487e-b3be-fed4f257352d.png
p72294
sbNg8
(g9
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V2019-06-04
p72297
sbNg8
(g9
g10
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g13
Nsg14
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VStatistical units
p72300
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(g9
g10
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g13
Nsg14
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Vstatistical information system
p72303
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g10
NtRp72304
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g13
Nsg14
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Vvector
p72306
sbg8
(g9
g10
NtRp72307
(dp72308
g13
Nsg14
Nsg15
VFGeo
p72309
sbNg8
(g9
g10
NtRp72310
(dp72311
g13
Nsg14
Nsg15
V1:100000
p72312
sbNg8
(g9
g10
NtRp72313
(dp72314
g13
Nsg14
Nsg15
VThis dataset is based on: EuroBoundaryMap (EBM) v8.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2013 of European Commission, Eurostat/GISCO, Countries 2013, European Commission - Eurostat/GISCO, Coastlines 2013, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS geometry supplied in EBM 8 have been rectified in Scotland for UKM63, UKM61 and UKM31.
p72315
sbg8
(g9
g10
NtRp72316
(dp72317
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f773546-a667-487e-b3be-fed4f257352d
p72318
sbNNg8
(g9
g10
NtRp72319
(dp72320
g13
Nsg14
Nsg15
VFALSE
p72321
sbg8
(g9
g10
NtRp72322
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g13
Nsg14
Nsg15
VEFTA4|EU28|Montenegro|North Macedonia|Turkey
p72324
sbg8
(g9
g10
NtRp72325
(dp72326
g13
Nsg14
Nsg15
VThe European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.
p72327
sbg8
(g9
g10
NtRp72328
(dp72329
g13
Nsg14
Nsg15
VFALSE
p72330
sbg8
(g9
g10
NtRp72331
(dp72332
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p72333
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g10
NtRp72334
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g13
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Nsg15
VFALSE
p72336
sbNNNNNNNg8
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g10
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(dp72338
g13
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V
sbg8
(g9
g10
NtRp72339
(dp72340
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72341
(dp72342
g13
Nsg14
Nsg15
VAdministrative_boundaries
p72343
sbNg8
(g9
g10
NtRp72344
(dp72345
g13
Nsg14
Nsg15
Veurostat_v_4258_100_k_gisco-nuts_2013
p72346
sbNNtp72347
a(g8
(g9
g10
NtRp72348
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g13
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Vec36e79b-615a-4484-a3a5-2714dc3951c5
p72350
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NtRp72351
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VEuroRegionalMap_2019
p72353
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NtRp72354
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VEuroRegionalMap 2019 (ERM 2019), Jan. 2019
p72356
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VEuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \u000aThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\u000aThis metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are:\u000a- The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM.\u000a- Update of transportation, settlement, vegetation themes. \u000a- Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barthélemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019.\u000aFor more information about the data product specifications please refer to the documents "ERM_2019_DataSpecification_EuroStat.pdf", "ERM_2019_TechnicalGuide.pdf" and "ERM_Eurostat_Lineage_ERM_2019.pdf" provided with the dataset under the link "Documents".\u000aIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset under the link "Documents". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under "Documents" link ("ERM_Eurostat_Metadata_ERM_2019.xml" within the "Metadata").
p72359
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g10
NtRp72360
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VFALSE
p72362
sbNNNg8
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(dp72364
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VFALSE
p72365
sbNNg8
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g10
NtRp72366
(dp72367
g13
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VFALSE
p72368
sbNNg8
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g10
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VFALSE
p72371
sbNg8
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.png
p72374
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g10
NtRp72375
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VEPSG:4258
p72377
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g10
NtRp72378
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V2019-06-04
p72380
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NtRp72381
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VAdministrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution \u2014 demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services
p72383
sbg8
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g10
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Vadministrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway
p72386
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(g9
g10
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g13
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Vvector
p72389
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g10
NtRp72390
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g13
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VFGeo|SHP
p72392
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(g9
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NtRp72393
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V1:250000
p72395
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VFor the lineage description of the full product, please see "ERM_Eurostat_Lineage_ERM_2019.pdf" provided with the dataset under the folder "Metadata" under "Documents" link. For detailed information on the national contribution, please consult the documents "XX_Lineage_ERM_2019.pdf" (where XX is the country acronym), under the subfolder "Countries" of the folder "Metadata".
p72398
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec36e79b-615a-4484-a3a5-2714dc3951c5
p72401
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VFALSE
p72404
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VAndorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican
p72407
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VThe Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\u000aThe license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.
p72410
sbg8
(g9
g10
NtRp72411
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Nsg15
VFALSE
p72413
sbNg8
(g9
g10
NtRp72414
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g13
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Nsg15
VFALSE
p72416
sbNNNNNNNg8
(g9
g10
NtRp72417
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V
sbg8
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NtRp72419
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Nsg15
V
sbg8
(g9
g10
NtRp72421
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g13
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VAdministrative_boundaries
p72423
sbNg8
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NtRp72424
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Nsg14
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Veurogeographics_v_4258_250_k_erm-europe_i_2018_v12_r00
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a(g8
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NtRp72428
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V5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d
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NtRp72431
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VCLC_accounting_2018
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VCorine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019
p72436
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VThe present 100m raster dataset is the 2018 CLC status layer modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA.\u000a\u000aCORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products.\u000a\u000aDue to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.
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VThe Corine Land Cover (CLC) is a European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on (visual or semi-automated) interpretation of high-resolution multispectral satellite imagery by the national teams of the participating countries - the EEA member or cooperating countries. Besides the original and still dominating Computer Assisted Photo-Interpretation (CAPI) methodology, the number of countries applying more advanced (bottom-up) solutions is increasing.\u000a\u000aNational teams provided vector CLC datasets within the CLC1990, CLC2000 CLC2006, CLC2012 and CLC2018 projects. All features in the vector databases are classified into the standardized hierarchical 3-level CLC nomenclature, which includes 44 classes optimized for pan-European mapping. CLC status layers are characterized with 25 ha Minimum Mapping Unit (MMU) and 100m Minimum Mapping Width (MMW), while the applied MMU for CLC change layers is 5 ha. CLC change polygons are created directly, based on visual comparison and interpretation of satellite images from the two corresponding dates. Update of CLC status layers is done by adding CLC-Change layer to the previous CLC status layer. The resulting national land cover inventories are integrated into a seamless land cover map of Europe. As a next step, all seamless vector layers are rasterized to the 100m resolution grid with the CELL_CENTER method.\u000a\u000aThe creation of the CLC accounting layers: \u000a\u000aThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-Change layers for land cover accounting purposes fulfilling the relation: CLC-Change = Accounting CLC_ new status \u2013 Accounting CLC old status. As a consequence of this criteria, CLC changes for longer period (e.g. 2000-2018) may be derived from the differences of the corresponding CLC accounting status layers accordingly.\u000aThe CLC accounting methodology is characterized by two major steps:\u000aI. Add more detail to the latest CLC status layer (CLC2018) from previous CLCC information and use this modified layer (CLC2018 accounting layer) as a reference,\u000aII. Create previous CLC (accounting) status layers by "backdating" of the reference, realized by subtracting CLCC-based information from CLC2018 accounting layer.\u000a\u000aBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\u000a(1) Include formation information from the CLC-Change layers into the CLC2018 status layer, thereby creating the CLC2018 accounting layer, as follows:\u000a(1a) Overwrite CLC2018 with formation code from CLC-Change 2000-2006. Intermediate result: A1_CLC2018,\u000a(1b) Overwrite A1_CLC2018 with formation code from CLC-Change 2006-2012. Intermediate result: A2_CLC2018\u000a(1c) Overwrite A2_CLC2018 with formation code from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2018 (the present layer).\u000a(2) Create CLC2012 accounting layer by including consumption information into CLC2018ACC_V2018_20.tif from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2012.\u000a(3) Create CLC2006 accounting layer by including consumption information into CLC2012ACC_V2018_20.tif from CLC-Change 2006-2012. Result: Final accounting layer for the reference year 2006.\u000a(4) Create CLC2000 accounting layer by including consumption information into CLC2006ACC_V2018_20.tif from CLC-Change 2000-2006. Result: Final accounting layer for the reference year 2000.\u000a\u000aThe harmonization was carried out on the version V2018_20 of Corine Land Cover European database (RELEASE V2018_20; dated 06/2019).\u000a\u000aNotes \u000aThe simple solution applied for the combination of CLC and CLCC layers causes some known issues, such as: \u000a(1) Modified CLC layers lose statistical comparability with original CLC layers, because of increased geometry - smaller than 25ha MMU features will appear locally where changes appear. \u000a(2) \u201cFake features\u201d may appear in the backdated CLC status layers due to inconsistencies between CLC-Change datasets and due to omitted (not interpreted) changes\u000aIn the frame of ETC-ULS activity a raster generalization methodology was developed to eliminate fake features and attenuate effects of mixed MMU (https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/5.-copernicus-rfs16_006-sc-56586/7-task-7-clc-adjusted-layers-clc-cube-be-revised). This methodology has not been approved yet, so not applied to actual CLC accounting layers.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VUrban Waste Water Treatment Directive, Discharge points, Nov. 2017
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VUWWTD Discharge Points, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \u000aDataset UWWTD_DischargePoints contains information on individual points of discharge from urban waste water treatment plants or collecting systems, including their coordinates of discharge, link to specific treatment plant, type of receiving area into which the effluent / wastewater is discharged, related waterbody (or river basin), information on the discharge on land and potential reuse of the treated waste water.\u000aThe discharge points layer is not used in UWWTD maps, therefore it is not included in any existing map service for the time being. The dataset is available only in tabular format through the EEA website.
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VDischarge points data were reported by Member states in tabular format. Spatial position of individual discharge points was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Discharge points with obviously wrong coordinates were removed.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThis dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg  in Germany. The NUTS classification has been officially established through Regulation (EC) No  2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016.\u000aThis metadata only refers to the full NUTS2016 dataset (polygons) at 100k (NUTS_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset.\u000aThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.
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VStatistical units
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Vstatistical information system
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Vvector
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V1:100000
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VThis dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.
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VThe European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.
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VGridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. \u000a\u000aThe dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. \u000a\u000aThis version includes species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.
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VEPSG:3035
p72691
sbg8
(g9
g10
NtRp72692
(dp72693
g13
Nsg14
Nsg15
V2019-06-04
p72694
sbNNg8
(g9
g10
NtRp72695
(dp72696
g13
Nsg14
Nsg15
VEC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy
p72697
sbg8
(g9
g10
NtRp72698
(dp72699
g13
Nsg14
Nsg15
Vvector
p72700
sbg8
(g9
g10
NtRp72701
(dp72702
g13
Nsg14
Nsg15
VSHP|SQLite
p72703
sbNg8
(g9
g10
NtRp72704
(dp72705
g13
Nsg14
Nsg15
V1:10000000
p72706
sbNg8
(g9
g10
NtRp72707
(dp72708
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012.  The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process.
p72709
sbg8
(g9
g10
NtRp72710
(dp72711
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0429813-1170-488f-8703-d56d18c0500f
p72712
sbNNg8
(g9
g10
NtRp72713
(dp72714
g13
Nsg14
Nsg15
VFALSE
p72715
sbg8
(g9
g10
NtRp72716
(dp72717
g13
Nsg14
Nsg15
VSpecies distribution
p72718
sbg8
(g9
g10
NtRp72719
(dp72720
g13
Nsg14
Nsg15
VData about sensitive species cannot be disseminated.
p72721
sbg8
(g9
g10
NtRp72722
(dp72723
g13
Nsg14
Nsg15
VFALSE
p72724
sbg8
(g9
g10
NtRp72725
(dp72726
g13
Nsg14
Nsg15
VEuropean Commission
p72727
sbg8
(g9
g10
NtRp72728
(dp72729
g13
Nsg14
Nsg15
VFALSE
p72730
sbNNNNNNNg8
(g9
g10
NtRp72731
(dp72732
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72733
(dp72734
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72735
(dp72736
g13
Nsg14
Nsg15
VBiodiversity
p72737
sbNg8
(g9
g10
NtRp72738
(dp72739
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_status-trends-birds-internal_2008-2012
p72740
sbNNtp72741
a(g8
(g9
g10
NtRp72742
(dp72743
g13
Nsg14
Nsg15
V4925d389-a76e-41a5-afcc-59c7f86ad04f
p72744
sbg8
(g9
g10
NtRp72745
(dp72746
g13
Nsg14
Nsg15
VArticle_17_species
p72747
sbg8
(g9
g10
NtRp72748
(dp72749
g13
Nsg14
Nsg15
VConservation status of species 2007-2012 for internal use, Sep. 2014
p72750
sbNNNNNg8
(g9
g10
NtRp72751
(dp72752
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aThis version includes species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\u000a\u000aThe data are available in the table ART17_SD of the database.
p72753
sbNNg8
(g9
g10
NtRp72754
(dp72755
g13
Nsg14
Nsg15
VFALSE
p72756
sbNNNg8
(g9
g10
NtRp72757
(dp72758
g13
Nsg14
Nsg15
VFALSE
p72759
sbNNg8
(g9
g10
NtRp72760
(dp72761
g13
Nsg14
Nsg15
VFALSE
p72762
sbNNg8
(g9
g10
NtRp72763
(dp72764
g13
Nsg14
Nsg15
VFALSE
p72765
sbNg8
(g9
g10
NtRp72766
(dp72767
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4925d389-a76e-41a5-afcc-59c7f86ad04f.png
p72768
sbg8
(g9
g10
NtRp72769
(dp72770
g13
Nsg14
Nsg15
VEPSG:3035
p72771
sbg8
(g9
g10
NtRp72772
(dp72773
g13
Nsg14
Nsg15
V2019-06-04
p72774
sbNNg8
(g9
g10
NtRp72775
(dp72776
g13
Nsg14
Nsg15
VEC directive|European Union|habitat|nature conservation|nature conservation policy|species
p72777
sbg8
(g9
g10
NtRp72778
(dp72779
g13
Nsg14
Nsg15
Vvector
p72780
sbg8
(g9
g10
NtRp72781
(dp72782
g13
Nsg14
Nsg15
VSHP
p72783
sbNg8
(g9
g10
NtRp72784
(dp72785
g13
Nsg14
Nsg15
V1:10000000
p72786
sbNg8
(g9
g10
NtRp72787
(dp72788
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.
p72789
sbg8
(g9
g10
NtRp72790
(dp72791
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4925d389-a76e-41a5-afcc-59c7f86ad04f
p72792
sbNNg8
(g9
g10
NtRp72793
(dp72794
g13
Nsg14
Nsg15
VFALSE
p72795
sbg8
(g9
g10
NtRp72796
(dp72797
g13
Nsg14
Nsg15
VHabitats and biotopes|Species distribution
p72798
sbg8
(g9
g10
NtRp72799
(dp72800
g13
Nsg14
Nsg15
VData about sensitive species cannot be disseminated.
p72801
sbg8
(g9
g10
NtRp72802
(dp72803
g13
Nsg14
Nsg15
VFALSE
p72804
sbg8
(g9
g10
NtRp72805
(dp72806
g13
Nsg14
Nsg15
VEuropean Commission
p72807
sbg8
(g9
g10
NtRp72808
(dp72809
g13
Nsg14
Nsg15
VFALSE
p72810
sbNNNNNNNg8
(g9
g10
NtRp72811
(dp72812
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72813
(dp72814
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72815
(dp72816
g13
Nsg14
Nsg15
VBiodiversity
p72817
sbNg8
(g9
g10
NtRp72818
(dp72819
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-species-internal_2007-2012
p72820
sbNNtp72821
a(g8
(g9
g10
NtRp72822
(dp72823
g13
Nsg14
Nsg15
V5d02129a-7ca5-46e7-9e10-96947b400a02
p72824
sbg8
(g9
g10
NtRp72825
(dp72826
g13
Nsg14
Nsg15
VArticle_17_habitats
p72827
sbg8
(g9
g10
NtRp72828
(dp72829
g13
Nsg14
Nsg15
VConservation status of habitat types 2007-2012, Sep. 2014
p72830
sbNNNNNg8
(g9
g10
NtRp72831
(dp72832
g13
Nsg14
Nsg15
VGridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\u000a\u000aThe data are available in the table ART17_HD of the database.
p72833
sbNNg8
(g9
g10
NtRp72834
(dp72835
g13
Nsg14
Nsg15
VFALSE
p72836
sbNNNg8
(g9
g10
NtRp72837
(dp72838
g13
Nsg14
Nsg15
VFALSE
p72839
sbNNg8
(g9
g10
NtRp72840
(dp72841
g13
Nsg14
Nsg15
VFALSE
p72842
sbNNg8
(g9
g10
NtRp72843
(dp72844
g13
Nsg14
Nsg15
VFALSE
p72845
sbNg8
(g9
g10
NtRp72846
(dp72847
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d02129a-7ca5-46e7-9e10-96947b400a02.png
p72848
sbg8
(g9
g10
NtRp72849
(dp72850
g13
Nsg14
Nsg15
VEPSG:3035
p72851
sbg8
(g9
g10
NtRp72852
(dp72853
g13
Nsg14
Nsg15
V2019-06-04
p72854
sbNg8
(g9
g10
NtRp72855
(dp72856
g13
Nsg14
Nsg15
VHabitats and biotopes
p72857
sbNg8
(g9
g10
NtRp72858
(dp72859
g13
Nsg14
Nsg15
Vvector
p72860
sbg8
(g9
g10
NtRp72861
(dp72862
g13
Nsg14
Nsg15
VFGeo
p72863
sbNg8
(g9
g10
NtRp72864
(dp72865
g13
Nsg14
Nsg15
V1:10000000
p72866
sbNg8
(g9
g10
NtRp72867
(dp72868
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.
p72869
sbg8
(g9
g10
NtRp72870
(dp72871
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d02129a-7ca5-46e7-9e10-96947b400a02
p72872
sbNNg8
(g9
g10
NtRp72873
(dp72874
g13
Nsg14
Nsg15
VFALSE
p72875
sbNg8
(g9
g10
NtRp72876
(dp72877
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p72878
sbg8
(g9
g10
NtRp72879
(dp72880
g13
Nsg14
Nsg15
VFALSE
p72881
sbg8
(g9
g10
NtRp72882
(dp72883
g13
Nsg14
Nsg15
VEuropean Commission
p72884
sbg8
(g9
g10
NtRp72885
(dp72886
g13
Nsg14
Nsg15
VFALSE
p72887
sbNNNNNNNg8
(g9
g10
NtRp72888
(dp72889
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72890
(dp72891
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72892
(dp72893
g13
Nsg14
Nsg15
VBiodiversity
p72894
sbNg8
(g9
g10
NtRp72895
(dp72896
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-hab_2007-2012
p72897
sbNNtp72898
a(g8
(g9
g10
NtRp72899
(dp72900
g13
Nsg14
Nsg15
V8a10c132-d5c1-456f-a24c-be42d414e878
p72901
sbNg8
(g9
g10
NtRp72902
(dp72903
g13
Nsg14
Nsg15
VGrassland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016
p72904
sbNNg8
(g23
g10
NtRp72905
(dp72906
g15
Vhttp://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS
p72907
sbNNg8
(g9
g10
NtRp72908
(dp72909
g13
Nsg14
Nsg15
VThe dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of  grassland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes  were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.
p72910
sbNNg8
(g9
g10
NtRp72911
(dp72912
g13
Nsg14
Nsg15
VFALSE
p72913
sbNNNg8
(g9
g10
NtRp72914
(dp72915
g13
Nsg14
Nsg15
VFALSE
p72916
sbNNg8
(g9
g10
NtRp72917
(dp72918
g13
Nsg14
Nsg15
VFALSE
p72919
sbNNg8
(g9
g10
NtRp72920
(dp72921
g13
Nsg14
Nsg15
VFALSE
p72922
sbNg8
(g9
g10
NtRp72923
(dp72924
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a10c132-d5c1-456f-a24c-be42d414e878.png
p72925
sbg8
(g9
g10
NtRp72926
(dp72927
g13
Nsg14
Nsg15
VEPSG:3035
p72928
sbg8
(g9
g10
NtRp72929
(dp72930
g13
Nsg14
Nsg15
V2019-06-04
p72931
sbNg8
(g9
g10
NtRp72932
(dp72933
g13
Nsg14
Nsg15
VLand cover|Land use|Statistical units
p72934
sbg8
(g9
g10
NtRp72935
(dp72936
g13
Nsg14
Nsg15
Vgrassland|land cover|land use|nutrient|pressure
p72937
sbg8
(g9
g10
NtRp72938
(dp72939
g13
Nsg14
Nsg15
Vvector
p72940
sbg8
(g9
g10
NtRp72941
(dp72942
g13
Nsg14
Nsg15
VSHP
p72943
sbNg8
(g9
g10
NtRp72944
(dp72945
g13
Nsg14
Nsg15
V1:1000000
p72946
sbNg8
(g9
g10
NtRp72947
(dp72948
g13
Nsg14
Nsg15
VLand cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use.  The internal flows related to intensification are defined based on an expert consultation done in the context of the ETC/ULS. Those represent land cover changes that are linked to increase in resource and machinery use. The next LCF were selected:\u000a- LCF522: Diffuse conversion from semi-natural land to agriculture: Conversion from dry semi-natural land (except CLC324, grouped with forests) to pasture and mixed agriculture with pasture.\u000a- LCF463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns.\u000a\u000aAn intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a grassland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type.\u000a\u000ahttps://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/
p72949
sbg8
(g9
g10
NtRp72950
(dp72951
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a10c132-d5c1-456f-a24c-be42d414e878
p72952
sbNNg8
(g9
g10
NtRp72953
(dp72954
g13
Nsg14
Nsg15
VFALSE
p72955
sbg8
(g9
g10
NtRp72956
(dp72957
g13
Nsg14
Nsg15
VEEA39
p72958
sbg8
(g9
g10
NtRp72959
(dp72960
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p72961
sbg8
(g9
g10
NtRp72962
(dp72963
g13
Nsg14
Nsg15
VFALSE
p72964
sbg8
(g9
g10
NtRp72965
(dp72966
g13
Nsg14
Nsg15
VEuropean Environment Agency
p72967
sbg8
(g9
g10
NtRp72968
(dp72969
g13
Nsg14
Nsg15
VFALSE
p72970
sbNNNNNNNg8
(g9
g10
NtRp72971
(dp72972
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp72973
(dp72974
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp72975
(dp72976
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_grassland-intensification-lcf_2006-2012
p72977
sbNNtp72978
a(g8
(g9
g10
NtRp72979
(dp72980
g13
Nsg14
Nsg15
V4f3aabfa-2ca6-477e-95a2-3a7852f6f88c
p72981
sbNg8
(g9
g10
NtRp72982
(dp72983
g13
Nsg14
Nsg15
VEUNIS habitat type F9-1a distribution based on vegetation plot data - version 1, June 2016
p72984
sbNNNNNg8
(g9
g10
NtRp72985
(dp72986
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p72987
sbg8
(g23
g10
NtRp72988
(dp72989
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p72990
sbNg8
(g9
g10
NtRp72991
(dp72992
g13
Nsg14
Nsg15
VFALSE
p72993
sbNNNg8
(g9
g10
NtRp72994
(dp72995
g13
Nsg14
Nsg15
VFALSE
p72996
sbNNg8
(g9
g10
NtRp72997
(dp72998
g13
Nsg14
Nsg15
VFALSE
p72999
sbNNg8
(g9
g10
NtRp73000
(dp73001
g13
Nsg14
Nsg15
VFALSE
p73002
sbNg8
(g9
g10
NtRp73003
(dp73004
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1a_dist_edt1.png
p73005
sbg8
(g9
g10
NtRp73006
(dp73007
g13
Nsg14
Nsg15
VEPSG:3035
p73008
sbg8
(g9
g10
NtRp73009
(dp73010
g13
Nsg14
Nsg15
V2019-06-04
p73011
sbNg8
(g9
g10
NtRp73012
(dp73013
g13
Nsg14
Nsg15
VHabitats and biotopes
p73014
sbg8
(g9
g10
NtRp73015
(dp73016
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p73017
sbg8
(g9
g10
NtRp73018
(dp73019
g13
Nsg14
Nsg15
Vvector
p73020
sbg8
(g9
g10
NtRp73021
(dp73022
g13
Nsg14
Nsg15
VSHP
p73023
sbNg8
(g9
g10
NtRp73024
(dp73025
g13
Nsg14
Nsg15
V1:10000000
p73026
sbNg8
(g9
g10
NtRp73027
(dp73028
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p73029
sbg8
(g9
g10
NtRp73030
(dp73031
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f3aabfa-2ca6-477e-95a2-3a7852f6f88c
p73032
sbNNg8
(g9
g10
NtRp73033
(dp73034
g13
Nsg14
Nsg15
VFALSE
p73035
sbg8
(g9
g10
NtRp73036
(dp73037
g13
Nsg14
Nsg15
VEurope
p73038
sbg8
(g9
g10
NtRp73039
(dp73040
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73041
sbg8
(g9
g10
NtRp73042
(dp73043
g13
Nsg14
Nsg15
VFALSE
p73044
sbg8
(g9
g10
NtRp73045
(dp73046
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73047
sbg8
(g9
g10
NtRp73048
(dp73049
g13
Nsg14
Nsg15
VFALSE
p73050
sbNNNNNNNg8
(g9
g10
NtRp73051
(dp73052
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73053
(dp73054
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73055
(dp73056
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f9-1a_1940-2011_rev01
p73057
sbNNtp73058
a(g8
(g9
g10
NtRp73059
(dp73060
g13
Nsg14
Nsg15
V6598ccb9-97e9-49ef-b5b5-e2cc68e988a0
p73061
sbNg8
(g9
g10
NtRp73062
(dp73063
g13
Nsg14
Nsg15
VEUNIS habitat type G3.4a distribution based on vegetation plot data - version 1, Jan. 2015
p73064
sbNNNNNg8
(g9
g10
NtRp73065
(dp73066
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p73067
sbg8
(g23
g10
NtRp73068
(dp73069
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73070
sbNg8
(g9
g10
NtRp73071
(dp73072
g13
Nsg14
Nsg15
VFALSE
p73073
sbNNNg8
(g9
g10
NtRp73074
(dp73075
g13
Nsg14
Nsg15
VFALSE
p73076
sbNNg8
(g9
g10
NtRp73077
(dp73078
g13
Nsg14
Nsg15
VFALSE
p73079
sbNNg8
(g9
g10
NtRp73080
(dp73081
g13
Nsg14
Nsg15
VFALSE
p73082
sbNg8
(g9
g10
NtRp73083
(dp73084
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_dist_edt1.png
p73085
sbg8
(g9
g10
NtRp73086
(dp73087
g13
Nsg14
Nsg15
VEPSG:3035
p73088
sbg8
(g9
g10
NtRp73089
(dp73090
g13
Nsg14
Nsg15
V2019-06-04
p73091
sbNg8
(g9
g10
NtRp73092
(dp73093
g13
Nsg14
Nsg15
VHabitats and biotopes
p73094
sbg8
(g9
g10
NtRp73095
(dp73096
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p73097
sbg8
(g9
g10
NtRp73098
(dp73099
g13
Nsg14
Nsg15
Vvector
p73100
sbg8
(g9
g10
NtRp73101
(dp73102
g13
Nsg14
Nsg15
VSHP
p73103
sbNg8
(g9
g10
NtRp73104
(dp73105
g13
Nsg14
Nsg15
V1:10000000
p73106
sbNg8
(g9
g10
NtRp73107
(dp73108
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p73109
sbg8
(g9
g10
NtRp73110
(dp73111
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6598ccb9-97e9-49ef-b5b5-e2cc68e988a0
p73112
sbNNg8
(g9
g10
NtRp73113
(dp73114
g13
Nsg14
Nsg15
VFALSE
p73115
sbg8
(g9
g10
NtRp73116
(dp73117
g13
Nsg14
Nsg15
VEurope
p73118
sbg8
(g9
g10
NtRp73119
(dp73120
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73121
sbg8
(g9
g10
NtRp73122
(dp73123
g13
Nsg14
Nsg15
VFALSE
p73124
sbg8
(g9
g10
NtRp73125
(dp73126
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73127
sbg8
(g9
g10
NtRp73128
(dp73129
g13
Nsg14
Nsg15
VFALSE
p73130
sbNNNNNNNg8
(g9
g10
NtRp73131
(dp73132
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73133
(dp73134
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73135
(dp73136
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-4a_1940-2011_rev01
p73137
sbNNtp73138
a(g8
(g9
g10
NtRp73139
(dp73140
g13
Nsg14
Nsg15
V9a353441-c28f-4733-acd0-16dde88f04ae
p73141
sbNg8
(g9
g10
NtRp73142
(dp73143
g13
Nsg14
Nsg15
VUrban Morphological Zones Changes 1990-2000 (vector) - version 16, Jun. 2013
p73144
sbNNNNNg8
(g9
g10
NtRp73145
(dp73146
g13
Nsg14
Nsg15
VChanges between UMZs in 1990 and UMZs in 2000 using CLC version 16.\u000aMost changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).
p73147
sbg8
(g23
g10
NtRp73148
(dp73149
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes-1990-2000-2
p73150
sbNg8
(g9
g10
NtRp73151
(dp73152
g13
Nsg14
Nsg15
VFALSE
p73153
sbNNNg8
(g9
g10
NtRp73154
(dp73155
g13
Nsg14
Nsg15
VFALSE
p73156
sbNNg8
(g9
g10
NtRp73157
(dp73158
g13
Nsg14
Nsg15
VFALSE
p73159
sbNNg8
(g9
g10
NtRp73160
(dp73161
g13
Nsg14
Nsg15
VFALSE
p73162
sbNg8
(g9
g10
NtRp73163
(dp73164
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a353441-c28f-4733-acd0-16dde88f04ae.png
p73165
sbg8
(g9
g10
NtRp73166
(dp73167
g13
Nsg14
Nsg15
VEPSG:3035
p73168
sbg8
(g9
g10
NtRp73169
(dp73170
g13
Nsg14
Nsg15
V2019-06-05
p73171
sbNg8
(g9
g10
NtRp73172
(dp73173
g13
Nsg14
Nsg15
VLand cover
p73174
sbg8
(g9
g10
NtRp73175
(dp73176
g13
Nsg14
Nsg15
Vpopulation|social aspects|urban environment|urban stress
p73177
sbg8
(g9
g10
NtRp73178
(dp73179
g13
Nsg14
Nsg15
Vvector
p73180
sbg8
(g9
g10
NtRp73181
(dp73182
g13
Nsg14
Nsg15
VSHP|SQLite
p73183
sbNg8
(g9
g10
NtRp73184
(dp73185
g13
Nsg14
Nsg15
V1:100000
p73186
sbNg8
(g9
g10
NtRp73187
(dp73188
g13
Nsg14
Nsg15
VUMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ\u000aSteps to follow:\u000a1. Create a file geodatabase to keep the geometries\u000a2. Union UMZ 1990 \u2013 2000. Output:UMZ90_00_Full\u000a3. Select ( "FID_UMZ1990" = -1 OR "FID_UMZ2000" = -1)\u000a4. Export the selection. Output:UMZ90_00_FULL_select.shp\u000a5. Selection of the real changes. Erasing\u000a   a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible)\uf0e0 selected_countries.shp\u000a   b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp \uf0e0 Output: Changes_90_00.shp\u000a   c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas\u000a6. Add and Calculate the Field \u201cArea_ha\u201d\u000a7. Add a new field name \u201cChange\u201d type = Text with length = 1 to Change_90_00.shp\u000a8. Delete unnecessary fields\u000a9. Select \u201cUMZ90_ID\u201d = 0 and Calculate Value for \u201cChange\u201d = + . This means Urban Sprawl\u000a10.Select \u201cUMZ00_ID\u201d = - 1 and Calculate Value for \u201cChange\u201d = - . This means Reduction of Urban Areas\u000a11.Select \u201cUMZ00_ID\u201d <> - 1 and \u201cUMZ90_ID\u201d <> 0 and Calculate Value for \u201cChange\u201d = 0. This means no changes of Urban Areas\u000a\u000aThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.
p73189
sbg8
(g9
g10
NtRp73190
(dp73191
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a353441-c28f-4733-acd0-16dde88f04ae
p73192
sbNNg8
(g9
g10
NtRp73193
(dp73194
g13
Nsg14
Nsg15
VFALSE
p73195
sbg8
(g9
g10
NtRp73196
(dp73197
g13
Nsg14
Nsg15
VAlbania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey
p73198
sbg8
(g9
g10
NtRp73199
(dp73200
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p73201
sbg8
(g9
g10
NtRp73202
(dp73203
g13
Nsg14
Nsg15
VFALSE
p73204
sbg8
(g9
g10
NtRp73205
(dp73206
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73207
sbg8
(g9
g10
NtRp73208
(dp73209
g13
Nsg14
Nsg15
VFALSE
p73210
sbNNNNNNNg8
(g9
g10
NtRp73211
(dp73212
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73213
(dp73214
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73215
(dp73216
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_1990-2000_rev16
p73217
sbNNtp73218
a(g8
(g9
g10
NtRp73219
(dp73220
g13
Nsg14
Nsg15
V02e6f47d-231e-4c52-aecd-d683b53cf745
p73221
sbNg8
(g9
g10
NtRp73222
(dp73223
g13
Nsg14
Nsg15
VUrban Morphological Zones 2000 (vector) - version 16, Jun. 2013
p73224
sbNNNNNg8
(g9
g10
NtRp73225
(dp73226
g13
Nsg14
Nsg15
VAn urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.
p73227
sbg8
(g23
g10
NtRp73228
(dp73229
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2000-2
p73230
sbNg8
(g9
g10
NtRp73231
(dp73232
g13
Nsg14
Nsg15
VFALSE
p73233
sbNNNg8
(g9
g10
NtRp73234
(dp73235
g13
Nsg14
Nsg15
VFALSE
p73236
sbNNg8
(g9
g10
NtRp73237
(dp73238
g13
Nsg14
Nsg15
VFALSE
p73239
sbNNg8
(g9
g10
NtRp73240
(dp73241
g13
Nsg14
Nsg15
VFALSE
p73242
sbNg8
(g9
g10
NtRp73243
(dp73244
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/02e6f47d-231e-4c52-aecd-d683b53cf745.png
p73245
sbg8
(g9
g10
NtRp73246
(dp73247
g13
Nsg14
Nsg15
VEPSG:3035
p73248
sbg8
(g9
g10
NtRp73249
(dp73250
g13
Nsg14
Nsg15
V2019-06-05
p73251
sbNg8
(g9
g10
NtRp73252
(dp73253
g13
Nsg14
Nsg15
VLand cover
p73254
sbg8
(g9
g10
NtRp73255
(dp73256
g13
Nsg14
Nsg15
Vpopulation|social aspects|urban environment|urban stress
p73257
sbg8
(g9
g10
NtRp73258
(dp73259
g13
Nsg14
Nsg15
Vvector
p73260
sbg8
(g9
g10
NtRp73261
(dp73262
g13
Nsg14
Nsg15
VSHP|SQLite
p73263
sbNg8
(g9
g10
NtRp73264
(dp73265
g13
Nsg14
Nsg15
V1:100000
p73266
sbNg8
(g9
g10
NtRp73267
(dp73268
g13
Nsg14
Nsg15
VAn Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\u000a200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\u000aThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\u000a\u2022 Core Classes\u000ao 111 \u2013 Continuous urban fabric\u000ao 112 \u2013 Discontinuous urban fabric\u000ao 121 \u2013 Industrial or commercial units\u000ao 141 \u2013 Green urban areas\u000a\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\u000a\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\u000a\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\u000a\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\u000a\u000aThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.
p73269
sbg8
(g9
g10
NtRp73270
(dp73271
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02e6f47d-231e-4c52-aecd-d683b53cf745
p73272
sbNNg8
(g9
g10
NtRp73273
(dp73274
g13
Nsg14
Nsg15
VFALSE
p73275
sbg8
(g9
g10
NtRp73276
(dp73277
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EEA33|Montenegro|North Macedonia|San Marino|Serbia
p73278
sbg8
(g9
g10
NtRp73279
(dp73280
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p73281
sbg8
(g9
g10
NtRp73282
(dp73283
g13
Nsg14
Nsg15
VFALSE
p73284
sbg8
(g9
g10
NtRp73285
(dp73286
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73287
sbg8
(g9
g10
NtRp73288
(dp73289
g13
Nsg14
Nsg15
VFALSE
p73290
sbNNNNNNNg8
(g9
g10
NtRp73291
(dp73292
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73293
(dp73294
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73295
(dp73296
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_2000_rev16
p73297
sbNNtp73298
a(g8
(g9
g10
NtRp73299
(dp73300
g13
Nsg14
Nsg15
V02603caf-6706-46d8-a943-7c91ea4bb57b
p73301
sbNg8
(g9
g10
NtRp73302
(dp73303
g13
Nsg14
Nsg15
VEUNIS habitat type F6-7 distribution based on vegetation plot data - version 1, June 2016
p73304
sbNNNNNg8
(g9
g10
NtRp73305
(dp73306
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p73307
sbg8
(g23
g10
NtRp73308
(dp73309
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73310
sbNg8
(g9
g10
NtRp73311
(dp73312
g13
Nsg14
Nsg15
VFALSE
p73313
sbNNNg8
(g9
g10
NtRp73314
(dp73315
g13
Nsg14
Nsg15
VFALSE
p73316
sbNNg8
(g9
g10
NtRp73317
(dp73318
g13
Nsg14
Nsg15
VFALSE
p73319
sbNNg8
(g9
g10
NtRp73320
(dp73321
g13
Nsg14
Nsg15
VFALSE
p73322
sbNg8
(g9
g10
NtRp73323
(dp73324
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-7_dist_edt1.png
p73325
sbg8
(g9
g10
NtRp73326
(dp73327
g13
Nsg14
Nsg15
VEPSG:3035
p73328
sbg8
(g9
g10
NtRp73329
(dp73330
g13
Nsg14
Nsg15
V2019-06-04
p73331
sbNg8
(g9
g10
NtRp73332
(dp73333
g13
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VHabitats and biotopes
p73334
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Vvector
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VSHP
p73343
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V1:10000000
p73346
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VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02603caf-6706-46d8-a943-7c91ea4bb57b
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73361
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VFALSE
p73364
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VEuropean Environment Agency
p73367
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NtRp73368
(dp73369
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VFALSE
p73370
sbNNNNNNNg8
(g9
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V
sbg8
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V
sbNNg8
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Veea_v_3035_10_mio_eunis-hab-f6-7_1940-2011_rev01
p73377
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V3e85edc3-fd15-41c4-b0be-5700571e7c2f
p73381
sbNg8
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VEUNIS habitat type F2-2b distribution based on vegetation plot data - version 1, June 2016
p73384
sbNNNNNg8
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g10
NtRp73385
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g13
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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p73402
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_dist_edt1.png
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VEPSG:3035
p73408
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Nsg14
Nsg15
V2019-06-04
p73411
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VHabitats and biotopes
p73414
sbg8
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NtRp73415
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Vheathland|natural area|terrestrial ecosystem|tundra
p73417
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g10
NtRp73418
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Vvector
p73420
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NtRp73421
(dp73422
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VSHP
p73423
sbNg8
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NtRp73424
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V1:10000000
p73426
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g10
NtRp73427
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VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p73429
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NtRp73430
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g13
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e85edc3-fd15-41c4-b0be-5700571e7c2f
p73432
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p73435
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VEurope
p73438
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73441
sbg8
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g10
NtRp73442
(dp73443
g13
Nsg14
Nsg15
VFALSE
p73444
sbg8
(g9
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(dp73446
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VEuropean Environment Agency
p73447
sbg8
(g9
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NtRp73448
(dp73449
g13
Nsg14
Nsg15
VFALSE
p73450
sbNNNNNNNg8
(g9
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NtRp73451
(dp73452
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V
sbg8
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V
sbNNg8
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NtRp73455
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Veea_v_3035_10_mio_eunis-hab-f2-2b_1940-2011_rev01
p73457
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V417765e1-90e1-4e17-87d3-de4f55985410
p73461
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NtRp73462
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VEUNIS habitat type F7.4c, predicted habitat suitability - version 1, June 2016
p73464
sbNNNNNg8
(g9
g10
NtRp73465
(dp73466
g13
Nsg14
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in the Iberian Penissula should be ignored.\u000a          \u000a          Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
p73467
sbg8
(g23
g10
NtRp73468
(dp73469
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73470
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p73473
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VFALSE
p73476
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p73479
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VFALSE
p73482
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NtRp73483
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_random_bg_ed1.png
p73485
sbg8
(g9
g10
NtRp73486
(dp73487
g13
Nsg14
Nsg15
VEPSG:3035
p73488
sbg8
(g9
g10
NtRp73489
(dp73490
g13
Nsg14
Nsg15
V2019-06-04
p73491
sbNg8
(g9
g10
NtRp73492
(dp73493
g13
Nsg14
Nsg15
VHabitats and biotopes
p73494
sbg8
(g9
g10
NtRp73495
(dp73496
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p73497
sbg8
(g9
g10
NtRp73498
(dp73499
g13
Nsg14
Nsg15
Vgrid
p73500
sbg8
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g10
NtRp73501
(dp73502
g13
Nsg14
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VGTiff
p73503
sbNg8
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NtRp73504
(dp73505
g13
Nsg14
Nsg15
V1000m
p73506
sbNg8
(g9
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NtRp73507
(dp73508
g13
Nsg14
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 57\u000aRegularized training gain: 3.4576\u000aUnregularized training gain: 3.7394\u000aIterations: 500\u000aTraining AUC: 0.991\u000a#Test samples: 6\u000aTest gain: 2.5065\u000aTest AUC: 0.9575\u000aAUC Standard Deviation: 0.0254\u000a#Background points: 5057\u000abio_12_etrs2_ras contribution: 15.5779\u000abio_15_etrs2_ras contribution: 6.2742\u000abio_18_etrs2_ras contribution: 8.5922\u000abio_4_etrs2_ras contribution: 1.0485\u000abio_8_etrs2_ras contribution: 23.2442\u000abld_m_sd1_1km_eu_ll contribution: 2.1347\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3437\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.6099\u000acrfvol_m_sd1_1km_eu_ll contribution: 18.8631\u000adist2water1km contribution: 0.3099\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.0204\u000apet_he_yr contribution: 7.5398\u000aphihox_m_sd1_1km_eu_ll contribution: 7.4881\u000asltppt_m_sd1_1km_eu_ll contribution: 0.0592\u000asndppt_m_sd1_1km_eu_ll contribution: 0.2446\u000asolar_1km contribution: 7.6495\u000abio_12_etrs2_ras permutation importance: 2.1758\u000abio_15_etrs2_ras permutation importance: 0\u000abio_18_etrs2_ras permutation importance: 66.4663\u000abio_4_etrs2_ras permutation importance: 13.2252\u000abio_8_etrs2_ras permutation importance: 0.237\u000abld_m_sd1_1km_eu_ll permutation importance: 10.0411\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.2801\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0\u000adist2water1km permutation importance: 0.1659\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0\u000apet_he_yr permutation importance: 0\u000aphihox_m_sd1_1km_eu_ll permutation importance: 5.054\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.3361\u000asndppt_m_sd1_1km_eu_ll permutation importance: 1.7299\u000asolar_1km permutation importance: 0.2887\u000aEntropy: 5.078\u000aPrevalence (average of logistic output over background sites): 0.0143\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0035\u000aFixed cumulative value 1 area: 0.1975\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 5.94E-05\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0253\u000aFixed cumulative value 5 area: 0.0722\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0.1667\u000aFixed cumulative value 5 binomial probability: 1.10E-05\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0709\u000aFixed cumulative value 10 area: 0.036\u000aFixed cumulative value 10 training omission: 0.0526\u000aFixed cumulative value 10 test omission: 0.3333\u000aFixed cumulative value 10 binomial probability: 2.37E-05\u000aMinimum training presence cumulative threshold: 6.2631\u000aMinimum training presence logistic threshold: 0.0343\u000aMinimum training presence area: 0.0589\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.3333\u000aMinimum training presence binomial probability: 1.64E-04\u000a10 percentile training presence cumulative threshold: 22.7522\u000a10 percentile training presence logistic threshold: 0.3409\u000a10 percentile training presence area: 0.0134\u000a10 percentile training presence training omission: 0.0877\u000a10 percentile training presence test omission: 0.3333\u000a10 percentile training presence binomial probability: 4.80E-07\u000aEqual training sensitivity and specificity cumulative threshold: 9.0807\u000aEqual training sensitivity and specificity logistic threshold: 0.0592\u000aEqual training sensitivity and specificity area: 0.0403\u000aEqual training sensitivity and specificity training omission: 0.0351\u000aEqual training sensitivity and specificity test omission: 0.3333\u000aEqual training sensitivity and specificity binomial probability: 3.72E-05\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.2631\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0343\u000aMaximum training sensitivity plus specificity area: 0.0589\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0.3333\u000aMaximum training sensitivity plus specificity binomial probability: 1.64E-04\u000aEqual test sensitivity and specificity cumulative threshold: 1.4239\u000aEqual test sensitivity and specificity logistic threshold: 0.0053\u000aEqual test sensitivity and specificity area: 0.1667\u000aEqual test sensitivity and specificity training omission: 0\u000aEqual test sensitivity and specificity test omission: 0.1667\u000aEqual test sensitivity and specificity binomial probability: 6.65E-04\u000aMaximum test sensitivity plus specificity cumulative threshold: 1.3132\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0048\u000aMaximum test sensitivity plus specificity area: 0.1734\u000aMaximum test sensitivity plus specificity training omission: 0\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 2.72E-05\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.8771\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0125\u000aBalance training omission, predicted area and threshold value area: 0.1105\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0.1667\u000aBalance training omission, predicted area and threshold value binomial probability: 8.99E-05\u000aEquate entropy of thresholded and original distributions cumulative threshold: 11.2492\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0883\u000aEquate entropy of thresholded and original distributions area: 0.0316\u000aEquate entropy of thresholded and original distributions training omission: 0.0702\u000aEquate entropy of thresholded and original distributions test omission: 0.3333\u000aEquate entropy of thresholded and original distributions binomial probability: 1.43E-05
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
p73533
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p73536
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Veea_r_3035_1_km_eunis-hab-f7-4c_1940-2011_rev01
p73543
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p73547
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VEUNIS habitat type G2.1 distribution based on vegetation plot data - version 1, Jan. 2015
p73550
sbNNNNNg8
(g9
g10
NtRp73551
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g13
Nsg14
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p73553
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VFALSE
p73559
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VFALSE
p73562
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VFALSE
p73565
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VFALSE
p73568
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_dist_edt1.png
p73571
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Nsg14
Nsg15
VEPSG:3035
p73574
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NtRp73575
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Nsg14
Nsg15
V2019-06-04
p73577
sbNg8
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NtRp73578
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Nsg14
Nsg15
VHabitats and biotopes
p73580
sbg8
(g9
g10
NtRp73581
(dp73582
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p73583
sbg8
(g9
g10
NtRp73584
(dp73585
g13
Nsg14
Nsg15
Vvector
p73586
sbg8
(g9
g10
NtRp73587
(dp73588
g13
Nsg14
Nsg15
VSHP
p73589
sbNg8
(g9
g10
NtRp73590
(dp73591
g13
Nsg14
Nsg15
V1:10000000
p73592
sbNg8
(g9
g10
NtRp73593
(dp73594
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p73595
sbg8
(g9
g10
NtRp73596
(dp73597
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e9f9435-b47a-4f2d-bb2f-c61b8c7f7b1f
p73598
sbg8
(g9
g10
NtRp73599
(dp73600
g13
Nsg14
g74
sg15
V1940
p73601
sbg8
(g9
g10
NtRp73602
(dp73603
g13
Nsg14
g74
sg15
V2011
p73604
sbg8
(g9
g10
NtRp73605
(dp73606
g13
Nsg14
Nsg15
VTRUE
p73607
sbg8
(g9
g10
NtRp73608
(dp73609
g13
Nsg14
Nsg15
VEurope
p73610
sbg8
(g9
g10
NtRp73611
(dp73612
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73613
sbg8
(g9
g10
NtRp73614
(dp73615
g13
Nsg14
Nsg15
VFALSE
p73616
sbg8
(g9
g10
NtRp73617
(dp73618
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73619
sbg8
(g9
g10
NtRp73620
(dp73621
g13
Nsg14
Nsg15
VFALSE
p73622
sbNNNNNNNg8
(g9
g10
NtRp73623
(dp73624
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73625
(dp73626
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73627
(dp73628
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g2-1_1940-2011_rev01
p73629
sbNNtp73630
a(g8
(g9
g10
NtRp73631
(dp73632
g13
Nsg14
Nsg15
Vaf31595f-13d7-4709-aa16-be540df5b555
p73633
sbNg8
(g9
g10
NtRp73634
(dp73635
g13
Nsg14
Nsg15
VEUNIS habitat type G3.9a distribution based on vegetation plot data - version 1, Jan. 2015
p73636
sbNNNNNg8
(g9
g10
NtRp73637
(dp73638
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p73639
sbg8
(g23
g10
NtRp73640
(dp73641
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73642
sbNg8
(g9
g10
NtRp73643
(dp73644
g13
Nsg14
Nsg15
VFALSE
p73645
sbNNNg8
(g9
g10
NtRp73646
(dp73647
g13
Nsg14
Nsg15
VFALSE
p73648
sbNNg8
(g9
g10
NtRp73649
(dp73650
g13
Nsg14
Nsg15
VFALSE
p73651
sbNNg8
(g9
g10
NtRp73652
(dp73653
g13
Nsg14
Nsg15
VFALSE
p73654
sbNg8
(g9
g10
NtRp73655
(dp73656
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_dist_edt1.png
p73657
sbg8
(g9
g10
NtRp73658
(dp73659
g13
Nsg14
Nsg15
VEPSG:3035
p73660
sbg8
(g9
g10
NtRp73661
(dp73662
g13
Nsg14
Nsg15
V2019-06-04
p73663
sbNg8
(g9
g10
NtRp73664
(dp73665
g13
Nsg14
Nsg15
VHabitats and biotopes
p73666
sbg8
(g9
g10
NtRp73667
(dp73668
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p73669
sbg8
(g9
g10
NtRp73670
(dp73671
g13
Nsg14
Nsg15
Vvector
p73672
sbg8
(g9
g10
NtRp73673
(dp73674
g13
Nsg14
Nsg15
VSHP
p73675
sbNg8
(g9
g10
NtRp73676
(dp73677
g13
Nsg14
Nsg15
V1:10000000
p73678
sbNg8
(g9
g10
NtRp73679
(dp73680
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p73681
sbg8
(g9
g10
NtRp73682
(dp73683
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af31595f-13d7-4709-aa16-be540df5b555
p73684
sbg8
(g9
g10
NtRp73685
(dp73686
g13
Nsg14
g74
sg15
V1940
p73687
sbg8
(g9
g10
NtRp73688
(dp73689
g13
Nsg14
g74
sg15
V2011
p73690
sbg8
(g9
g10
NtRp73691
(dp73692
g13
Nsg14
Nsg15
VTRUE
p73693
sbg8
(g9
g10
NtRp73694
(dp73695
g13
Nsg14
Nsg15
VEurope
p73696
sbg8
(g9
g10
NtRp73697
(dp73698
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73699
sbg8
(g9
g10
NtRp73700
(dp73701
g13
Nsg14
Nsg15
VFALSE
p73702
sbg8
(g9
g10
NtRp73703
(dp73704
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73705
sbg8
(g9
g10
NtRp73706
(dp73707
g13
Nsg14
Nsg15
VFALSE
p73708
sbNNNNNNNg8
(g9
g10
NtRp73709
(dp73710
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73711
(dp73712
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73713
(dp73714
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-9a_1940-2011_rev01
p73715
sbNNtp73716
a(g8
(g9
g10
NtRp73717
(dp73718
g13
Nsg14
Nsg15
V1642e81f-3442-49fc-bbbd-fe55669086c4
p73719
sbNg8
(g9
g10
NtRp73720
(dp73721
g13
Nsg14
Nsg15
VEUNIS habitat type F7.4a, predicted habitat suitability - version 1, June 2016
p73722
sbNNNNNg8
(g9
g10
NtRp73723
(dp73724
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in Germany should be ignored.
p73725
sbg8
(g23
g10
NtRp73726
(dp73727
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73728
sbNg8
(g9
g10
NtRp73729
(dp73730
g13
Nsg14
Nsg15
VFALSE
p73731
sbNNNg8
(g9
g10
NtRp73732
(dp73733
g13
Nsg14
Nsg15
VFALSE
p73734
sbNNg8
(g9
g10
NtRp73735
(dp73736
g13
Nsg14
Nsg15
VFALSE
p73737
sbNNg8
(g9
g10
NtRp73738
(dp73739
g13
Nsg14
Nsg15
VFALSE
p73740
sbNg8
(g9
g10
NtRp73741
(dp73742
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_random_bg_ed1.png
p73743
sbg8
(g9
g10
NtRp73744
(dp73745
g13
Nsg14
Nsg15
VEPSG:3035
p73746
sbg8
(g9
g10
NtRp73747
(dp73748
g13
Nsg14
Nsg15
V2019-06-04
p73749
sbNg8
(g9
g10
NtRp73750
(dp73751
g13
Nsg14
Nsg15
VHabitats and biotopes
p73752
sbg8
(g9
g10
NtRp73753
(dp73754
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p73755
sbg8
(g9
g10
NtRp73756
(dp73757
g13
Nsg14
Nsg15
Vgrid
p73758
sbg8
(g9
g10
NtRp73759
(dp73760
g13
Nsg14
Nsg15
VGTiff
p73761
sbNg8
(g9
g10
NtRp73762
(dp73763
g13
Nsg14
Nsg15
V1000m
p73764
sbNg8
(g9
g10
NtRp73765
(dp73766
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 198\u000aRegularized training gain: 2.6988\u000aUnregularized training gain: 2.8457\u000aIterations: 500\u000aTraining AUC: 0.978\u000a#Test samples: 22\u000aTest gain: 2.6462\u000aTest AUC: 0.9749\u000aAUC Standard Deviation: 0.0045\u000a#Background points: 5198\u000abio_12_etrs2_ras contribution: 0.0604\u000abio_15_etrs2_ras contribution: 0.4649\u000abio_18_etrs2_ras contribution: 1.9568\u000abio_4_etrs2_ras contribution: 44.1131\u000abio_8_etrs2_ras contribution: 0.1845\u000abld_m_sd1_1km_eu_ll contribution: 4.8498\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0109\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.069\u000acrfvol_m_sd1_1km_eu_ll contribution: 11.4203\u000adist2water1km contribution: 0.1268\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.0364\u000apet_he_yr contribution: 4.481\u000aphihox_m_sd1_1km_eu_ll contribution: 0.4291\u000asltppt_m_sd1_1km_eu_ll contribution: 0.17\u000asndppt_m_sd1_1km_eu_ll contribution: 6.6428\u000asolar_1km contribution: 23.9843\u000abio_12_etrs2_ras permutation importance: 0.3837\u000abio_15_etrs2_ras permutation importance: 2.1069\u000abio_18_etrs2_ras permutation importance: 2.1893\u000abio_4_etrs2_ras permutation importance: 49.2294\u000abio_8_etrs2_ras permutation importance: 0.8161\u000abld_m_sd1_1km_eu_ll permutation importance: 2.4472\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.1121\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 21.7736\u000adist2water1km permutation importance: 0.018\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.2431\u000apet_he_yr permutation importance: 3.8617\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.2125\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.0645\u000asndppt_m_sd1_1km_eu_ll permutation importance: 12.861\u000asolar_1km permutation importance: 2.6809\u000aEntropy: 5.8591\u000aPrevalence (average of logistic output over background sites): 0.0319\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0101\u000aFixed cumulative value 1 area: 0.1604\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 3.29E-18\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0804\u000aFixed cumulative value 5 area: 0.0702\u000aFixed cumulative value 5 training omission: 0.0051\u000aFixed cumulative value 5 test omission: 0.0455\u000aFixed cumulative value 5 binomial probability: 1.22E-23\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2421\u000aFixed cumulative value 10 area: 0.0506\u000aFixed cumulative value 10 training omission: 0.0404\u000aFixed cumulative value 10 test omission: 0.1364\u000aFixed cumulative value 10 binomial probability: 3.17E-22\u000aMinimum training presence cumulative threshold: 4.5647\u000aMinimum training presence logistic threshold: 0.0675\u000aMinimum training presence area: 0.0739\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0455\u000aMinimum training presence binomial probability: 3.54E-23\u000a10 percentile training presence cumulative threshold: 14.9112\u000a10 percentile training presence logistic threshold: 0.3598\u000a10 percentile training presence area: 0.0425\u000a10 percentile training presence training omission: 0.096\u000a10 percentile training presence test omission: 0.2273\u000a10 percentile training presence binomial probability: 1.04E-19\u000aEqual training sensitivity and specificity cumulative threshold: 11.0927\u000aEqual training sensitivity and specificity logistic threshold: 0.2639\u000aEqual training sensitivity and specificity area: 0.0485\u000aEqual training sensitivity and specificity training omission: 0.0505\u000aEqual training sensitivity and specificity test omission: 0.1364\u000aEqual training sensitivity and specificity binomial probability: 1.42E-22\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.1491\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1169\u000aMaximum training sensitivity plus specificity area: 0.0629\u000aMaximum training sensitivity plus specificity training omission: 0.0051\u000aMaximum training sensitivity plus specificity test omission: 0.0909\u000aMaximum training sensitivity plus specificity binomial probability: 1.92E-22\u000aEqual test sensitivity and specificity cumulative threshold: 6.0538\u000aEqual test sensitivity and specificity logistic threshold: 0.1149\u000aEqual test sensitivity and specificity area: 0.0635\u000aEqual test sensitivity and specificity training omission: 0.0051\u000aEqual test sensitivity and specificity test omission: 0.0455\u000aEqual test sensitivity and specificity binomial probability: 1.48E-24\u000aMaximum test sensitivity plus specificity cumulative threshold: 4.316\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0632\u000aMaximum test sensitivity plus specificity area: 0.0762\u000aMaximum test sensitivity plus specificity training omission: 0\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 2.52E-25\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.3501\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0262\u000aBalance training omission, predicted area and threshold value area: 0.1077\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 5.15E-22\u000aEquate entropy of thresholded and original distributions cumulative threshold: 5.4059\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0902\u000aEquate entropy of thresholded and original distributions area: 0.0673\u000aEquate entropy of thresholded and original distributions training omission: 0.0051\u000aEquate entropy of thresholded and original distributions test omission: 0.0455\u000aEquate entropy of thresholded and original distributions binomial probability: 5.09E-24
p73767
sbg8
(g9
g10
NtRp73768
(dp73769
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1642e81f-3442-49fc-bbbd-fe55669086c4
p73770
sbg8
(g9
g10
NtRp73771
(dp73772
g13
Nsg14
g74
sg15
V1940
p73773
sbg8
(g9
g10
NtRp73774
(dp73775
g13
Nsg14
g74
sg15
V2011
p73776
sbg8
(g9
g10
NtRp73777
(dp73778
g13
Nsg14
Nsg15
VTRUE
p73779
sbg8
(g9
g10
NtRp73780
(dp73781
g13
Nsg14
Nsg15
VEurope
p73782
sbg8
(g9
g10
NtRp73783
(dp73784
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p73785
sbg8
(g9
g10
NtRp73786
(dp73787
g13
Nsg14
Nsg15
VFALSE
p73788
sbg8
(g9
g10
NtRp73789
(dp73790
g13
Nsg14
Nsg15
VEuropean Environment Agency
p73791
sbg8
(g9
g10
NtRp73792
(dp73793
g13
Nsg14
Nsg15
VFALSE
p73794
sbNNNNNNNg8
(g9
g10
NtRp73795
(dp73796
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp73797
(dp73798
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp73799
(dp73800
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f7-4a_1940-2011_rev01
p73801
sbNNtp73802
a(g8
(g9
g10
NtRp73803
(dp73804
g13
Nsg14
Nsg15
V6d55ca89-eb7b-4ac2-85cd-a89ec614b8ce
p73805
sbNg8
(g9
g10
NtRp73806
(dp73807
g13
Nsg14
Nsg15
VEUNIS habitat type G1.5, predicted distribution of habitat suitability - version 1, Jan. 2015
p73808
sbNNNNNg8
(g9
g10
NtRp73809
(dp73810
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p73811
sbg8
(g23
g10
NtRp73812
(dp73813
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p73814
sbNg8
(g9
g10
NtRp73815
(dp73816
g13
Nsg14
Nsg15
VFALSE
p73817
sbNNNg8
(g9
g10
NtRp73818
(dp73819
g13
Nsg14
Nsg15
VFALSE
p73820
sbNNg8
(g9
g10
NtRp73821
(dp73822
g13
Nsg14
Nsg15
VFALSE
p73823
sbNNg8
(g9
g10
NtRp73824
(dp73825
g13
Nsg14
Nsg15
VFALSE
p73826
sbNg8
(g9
g10
NtRp73827
(dp73828
g13
Nsg14
Nsg15
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 579\u000aRegularized training gain: 0.9656\u000aUnregularized training gain: 1.0986\u000aIterations: 500\u000aTraining AUC: 0.8759\u000a#Test samples: 64\u000aTest gain: 1.0492\u000aTest AUC: 0.855\u000aAUC Standard Deviation: 0.0253\u000a#Background points: 10234\u000abio_12_etrs2_ras contribution: 2.9986\u000abio_15_etrs2_ras contribution: 5.7861\u000abio_18_etrs2_ras contribution: 11.3991\u000abio_4_etrs2_ras contribution: 4.0095\u000abio_8_etrs2_ras contribution: 1.4044\u000adist2water1km contribution: 0.6122\u000apet_he_yr contribution: 48.1552\u000asoil_ph contribution: 4.7057\u000asolar_1km contribution: 20.9292\u000abio_12_etrs2_ras permutation importance: 8.2742\u000abio_15_etrs2_ras permutation importance: 4.8344\u000abio_18_etrs2_ras permutation importance: 7.7293\u000abio_4_etrs2_ras permutation importance: 8.2256\u000abio_8_etrs2_ras permutation importance: 2.9707\u000adist2water1km permutation importance: 0.6642\u000apet_he_yr permutation importance: 48.6548\u000asoil_ph permutation importance: 4.8846\u000asolar_1km permutation importance: 13.7621\u000aTraining gain without bio_12_etrs2_ras: 0.9507\u000aTraining gain without bio_15_etrs2_ras: 0.9557\u000aTraining gain without bio_18_etrs2_ras: 0.9528\u000aTraining gain without bio_4_etrs2_ras: 0.9495\u000aTraining gain without bio_8_etrs2_ras: 0.9526\u000aTraining gain without dist2water1km: 0.9602\u000aTraining gain without pet_he_yr: 0.8616\u000aTraining gain without soil_ph: 0.9288\u000aTraining gain without solar_1km: 0.9332\u000aTraining gain with only bio_12_etrs2_ras: 0.1415\u000aTraining gain with only bio_15_etrs2_ras: 0.2006\u000aTraining gain with only bio_18_etrs2_ras: 0.3148\u000aTraining gain with only bio_4_etrs2_ras: 0.245\u000aTraining gain with only bio_8_etrs2_ras: 0.1616\u000aTraining gain with only dist2water1km: 0.0125\u000aTraining gain with only pet_he_yr: 0.5099\u000aTraining gain with only soil_ph: 0.1791\u000aTraining gain with only solar_1km: 0.4046\u000aTest gain without bio_12_etrs2_ras: 1.0301\u000aTest gain without bio_15_etrs2_ras: 1.0312\u000aTest gain without bio_18_etrs2_ras: 1.0747\u000aTest gain without bio_4_etrs2_ras: 1.0379\u000aTest gain without bio_8_etrs2_ras: 1.042\u000aTest gain without dist2water1km: 1.0634\u000aTest gain without pet_he_yr: 0.9489\u000aTest gain without soil_ph: 1.0002\u000aTest gain without solar_1km: 0.991\u000aTest gain with only bio_12_etrs2_ras: 0.2311\u000aTest gain with only bio_15_etrs2_ras: 0.1864\u000aTest gain with only bio_18_etrs2_ras: 0.2508\u000aTest gain with only bio_4_etrs2_ras: 0.2853\u000aTest gain with only bio_8_etrs2_ras: 0.0853\u000aTest gain with only dist2water1km: -0.0179\u000aTest gain with only pet_he_yr: 0.5489\u000aTest gain with only soil_ph: 0.1955\u000aTest gain with only solar_1km: 0.5845\u000aAUC without bio_12_etrs2_ras: 0.854\u000aAUC without bio_15_etrs2_ras: 0.8543\u000aAUC without bio_18_etrs2_ras: 0.8603\u000aAUC without bio_4_etrs2_ras: 0.8536\u000aAUC without bio_8_etrs2_ras: 0.8541\u000aAUC without dist2water1km: 0.8571\u000aAUC without pet_he_yr: 0.8424\u000aAUC without soil_ph: 0.8493\u000aAUC without solar_1km: 0.8517\u000aAUC with only bio_12_etrs2_ras: 0.6892\u000aAUC with only bio_15_etrs2_ras: 0.6548\u000aAUC with only bio_18_etrs2_ras: 0.694\u000aAUC with only bio_4_etrs2_ras: 0.6999\u000aAUC with only bio_8_etrs2_ras: 0.629\u000aAUC with only dist2water1km: 0.5019\u000aAUC with only pet_he_yr: 0.788\u000aAUC with only soil_ph: 0.6598\u000aAUC with only solar_1km: 0.7956\u000aEntropy: 8.2719\u000aPrevalence (average of logistic output over background sites): 0.185\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0354\u000aFixed cumulative value 1 area: 0.7053\u000aFixed cumulative value 1 training omission: 0.0035\u000aFixed cumulative value 1 test omission: 0.0312\u000aFixed cumulative value 1 binomial probability: 1.89E-06\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1035\u000aFixed cumulative value 5 area: 0.4894\u000aFixed cumulative value 5 training omission: 0.0259\u000aFixed cumulative value 5 test omission: 0.1094\u000aFixed cumulative value 5 binomial probability: 6.80E-11\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1678\u000aFixed cumulative value 10 area: 0.3644\u000aFixed cumulative value 10 training omission: 0.0794\u000aFixed cumulative value 10 test omission: 0.1406\u000aFixed cumulative value 10 binomial probability: 9.48E-17\u000aMinimum training presence cumulative threshold: 0.4185\u000aMinimum training presence logistic threshold: 0.021\u000aMinimum training presence area: 0.7834\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0156\u000aMinimum training presence binomial probability: 4.74E-05\u000a10 percentile training presence cumulative threshold: 12.3711\u000a10 percentile training presence logistic threshold: 0.1982\u000a10 percentile training presence area: 0.3239\u000a10 percentile training presence training omission: 0.0984\u000a10 percentile training presence test omission: 0.1406\u000a10 percentile training presence binomial probability: 2.75E-20\u000aEqual training sensitivity and specificity cumulative threshold: 24.6017\u000aEqual training sensitivity and specificity logistic threshold: 0.3503\u000aEqual training sensitivity and specificity area: 0.1937\u000aEqual training sensitivity and specificity training omission: 0.1934\u000aEqual training sensitivity and specificity test omission: 0.1875\u000aEqual training sensitivity and specificity binomial probability: 2.63E-36\u000aMaximum training sensitivity plus specificity cumulative threshold: 21.2849\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3032\u000aMaximum training sensitivity plus specificity area: 0.22\u000aMaximum training sensitivity plus specificity training omission: 0.1623\u000aMaximum training sensitivity plus specificity test omission: 0.1875\u000aMaximum training sensitivity plus specificity binomial probability: 1.26E-30\u000aEqual test sensitivity and specificity cumulative threshold: 25.4949\u000aEqual test sensitivity and specificity logistic threshold: 0.3639\u000aEqual test sensitivity and specificity area: 0.1875\u000aEqual test sensitivity and specificity training omission: 0.2021\u000aEqual test sensitivity and specificity test omission: 0.1875\u000aEqual test sensitivity and specificity binomial probability: 7.24E-38\u000aMaximum test sensitivity plus specificity cumulative threshold: 25.9766\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3695\u000aMaximum test sensitivity plus specificity area: 0.1843\u000aMaximum test sensitivity plus specificity training omission: 0.2073\u000aMaximum test sensitivity plus specificity test omission: 0.1875\u000aMaximum test sensitivity plus specificity binomial probability: 1.00E-38\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.6463\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0679\u000aBalance training omission, predicted area and threshold value area: 0.5864\u000aBalance training omission, predicted area and threshold value training omission: 0.0121\u000aBalance training omission, predicted area and threshold value test omission: 0.0625\u000aBalance training omission, predicted area and threshold value binomial probability: 5.86E-09\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.1017\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1562\u000aEquate entropy of thresholded and original distributions area: 0.3823\u000aEquate entropy of thresholded and original distributions training omission: 0.076\u000aEquate entropy of thresholded and original distributions test omission: 0.1406\u000aEquate entropy of thresholded and original distributions binomial probability: 2.00E-15
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1796\u000aRegularized training gain: 1.4466\u000aUnregularized training gain: 1.4883\u000aIterations: 500\u000aTraining AUC: 0.9085\u000a#Test samples: 199\u000aTest gain: 1.4549\u000aTest AUC: 0.9115\u000aAUC Standard Deviation: 0.0052\u000a#Background points: 11794\u000abio_12_etrs2_ras contribution: 0.2503\u000abio_15_etrs2_ras contribution: 0.4403\u000abio_18_etrs2_ras contribution: 69.6796\u000abio_4_etrs2_ras contribution: 19.2195\u000abio_8_etrs2_ras contribution: 0.0561\u000adist2water1km contribution: 0.0463\u000apet_he_yr contribution: 10.1659\u000asoil_ph contribution: 0.018\u000asolar_1km contribution: 0.1241\u000abio_12_etrs2_ras permutation importance: 1.7579\u000abio_15_etrs2_ras permutation importance: 1.1536\u000abio_18_etrs2_ras permutation importance: 40.7646\u000abio_4_etrs2_ras permutation importance: 46.6492\u000abio_8_etrs2_ras permutation importance: 0.0328\u000adist2water1km permutation importance: 0.1823\u000apet_he_yr permutation importance: 9.234\u000asoil_ph permutation importance: 0.0734\u000asolar_1km permutation importance: 0.1521\u000aEntropy: 7.9287\u000aPrevalence (average of logistic output over background sites): 0.1149\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0455\u000aFixed cumulative value 1 area: 0.2918\u000aFixed cumulative value 1 training omission: 0.0072\u000aFixed cumulative value 1 test omission: 0.0101\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1907\u000aFixed cumulative value 5 area: 0.2138\u000aFixed cumulative value 5 training omission: 0.034\u000aFixed cumulative value 5 test omission: 0.0603\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3344\u000aFixed cumulative value 10 area: 0.1804\u000aFixed cumulative value 10 training omission: 0.083\u000aFixed cumulative value 10 test omission: 0.1256\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.1723\u000aMinimum training presence logistic threshold: 0.0025\u000aMinimum training presence area: 0.4197\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.30E-62\u000a10 percentile training presence cumulative threshold: 11.5723\u000a10 percentile training presence logistic threshold: 0.3702\u000a10 percentile training presence area: 0.1736\u000a10 percentile training presence training omission: 0.0997\u000a10 percentile training presence test omission: 0.1357\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 16.3739\u000aEqual training sensitivity and specificity logistic threshold: 0.4374\u000aEqual training sensitivity and specificity area: 0.1571\u000aEqual training sensitivity and specificity training omission: 0.157\u000aEqual training sensitivity and specificity test omission: 0.1809\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.2646\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2362\u000aMaximum training sensitivity plus specificity area: 0.2027\u000aMaximum training sensitivity plus specificity training omission: 0.0379\u000aMaximum training sensitivity plus specificity test omission: 0.0653\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 13.6909\u000aEqual test sensitivity and specificity logistic threshold: 0.4041\u000aEqual test sensitivity and specificity area: 0.1658\u000aEqual test sensitivity and specificity training omission: 0.1264\u000aEqual test sensitivity and specificity test omission: 0.1658\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 2.8006\u000aMaximum test sensitivity plus specificity logistic threshold: 0.128\u000aMaximum test sensitivity plus specificity area: 0.2409\u000aMaximum test sensitivity plus specificity training omission: 0.015\u000aMaximum test sensitivity plus specificity test omission: 0.0101\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.4449\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0577\u000aBalance training omission, predicted area and threshold value area: 0.2722\u000aBalance training omission, predicted area and threshold value training omission: 0.0084\u000aBalance training omission, predicted area and threshold value test omission: 0.0101\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 3.1739\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1393\u000aEquate entropy of thresholded and original distributions area: 0.2353\u000aEquate entropy of thresholded and original distributions training omission: 0.0173\u000aEquate entropy of thresholded and original distributions test omission: 0.0352\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in the Iberian Penissula should be ignored.\u000a          \u000a          Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 51\u000aRegularized training gain: 3.5216\u000aUnregularized training gain: 3.7985\u000aIterations: 500\u000aTraining AUC: 0.9923\u000a#Test samples: 5\u000aTest gain: 3.6835\u000aTest AUC: 0.9916\u000aAUC Standard Deviation: 0.0022\u000a#Background points: 5051\u000abio_12_etrs2_ras contribution: 39.9468\u000abio_15_etrs2_ras contribution: 37.2821\u000abio_18_etrs2_ras contribution: 2.5152\u000abio_4_etrs2_ras contribution: 3.8421\u000abio_8_etrs2_ras contribution: 0.0112\u000abld_m_sd1_1km_eu_ll contribution: 0\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0256\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.8396\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.0504\u000adist2water1km contribution: 0.4519\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.1781\u000apet_he_yr contribution: 0.633\u000aphihox_m_sd1_1km_eu_ll contribution: 11.4396\u000asltppt_m_sd1_1km_eu_ll contribution: 0.0137\u000asndppt_m_sd1_1km_eu_ll contribution: 0.7661\u000asolar_1km contribution: 0.0046\u000abio_12_etrs2_ras permutation importance: 13.9163\u000abio_15_etrs2_ras permutation importance: 34.4248\u000abio_18_etrs2_ras permutation importance: 4.4589\u000abio_4_etrs2_ras permutation importance: 41.2525\u000abio_8_etrs2_ras permutation importance: 0.2427\u000abld_m_sd1_1km_eu_ll permutation importance: 0\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.3296\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.2608\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.0507\u000adist2water1km permutation importance: 0.2825\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.5216\u000apet_he_yr permutation importance: 0.0326\u000aphihox_m_sd1_1km_eu_ll permutation importance: 3.2744\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.8947\u000asolar_1km permutation importance: 0.058\u000aEntropy: 5.0038\u000aPrevalence (average of logistic output over background sites): 0.0137\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0039\u000aFixed cumulative value 1 area: 0.1192\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.40E-05\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0506\u000aFixed cumulative value 5 area: 0.0453\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.92E-07\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1175\u000aFixed cumulative value 10 area: 0.0279\u000aFixed cumulative value 10 training omission: 0.0196\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 1.69E-08\u000aMinimum training presence cumulative threshold: 6.2126\u000aMinimum training presence logistic threshold: 0.0662\u000aMinimum training presence area: 0.0396\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 9.73E-08\u000a10 percentile training presence cumulative threshold: 20.592\u000a10 percentile training presence logistic threshold: 0.329\u000a10 percentile training presence area: 0.015\u000a10 percentile training presence training omission: 0.098\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 7.71E-10\u000aEqual training sensitivity and specificity cumulative threshold: 11.3536\u000aEqual training sensitivity and specificity logistic threshold: 0.1416\u000aEqual training sensitivity and specificity area: 0.0253\u000aEqual training sensitivity and specificity training omission: 0.0196\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 1.04E-08\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.2126\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0662\u000aMaximum training sensitivity plus specificity area: 0.0396\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 9.73E-08\u000aEqual test sensitivity and specificity cumulative threshold: 21.759\u000aEqual test sensitivity and specificity logistic threshold: 0.3421\u000aEqual test sensitivity and specificity area: 0.0143\u000aEqual test sensitivity and specificity training omission: 0.1176\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 5.88E-10\u000aMaximum test sensitivity plus specificity cumulative threshold: 21.759\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3421\u000aMaximum test sensitivity plus specificity area: 0.0143\u000aMaximum test sensitivity plus specificity training omission: 0.1176\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 5.88E-10\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.9411\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0115\u000aBalance training omission, predicted area and threshold value area: 0.0772\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.74E-06\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.4317\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.112\u000aEquate entropy of thresholded and original distributions area: 0.0293\u000aEquate entropy of thresholded and original distributions training omission: 0.0196\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 2.16E-08
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 89\u000aRegularized training gain: 3.1942\u000aUnregularized training gain: 3.3928\u000aIterations: 500\u000aTraining AUC: 0.9874\u000a#Test samples: 9\u000aTest gain: 3.049\u000aTest AUC: 0.9814\u000aAUC Standard Deviation: 0.0083\u000a#Background points: 5089\u000abio_12_etrs2_ras contribution: 0.0773\u000abio_15_etrs2_ras contribution: 11.8497\u000abio_18_etrs2_ras contribution: 28.1046\u000abio_4_etrs2_ras contribution: 38.2369\u000abio_8_etrs2_ras contribution: 7.9066\u000abld_m_sd1_1km_eu_ll contribution: 0.3056\u000acecsum_m_sd1_1km_eu_ll contribution: 0\u000aclyppt_m_sd1_1km_eu_ll contribution: 3.5663\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.7313\u000adist2water1km contribution: 0.0443\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.3801\u000apet_he_yr contribution: 2.799\u000aphihox_m_sd1_1km_eu_ll contribution: 2.0164\u000asltppt_m_sd1_1km_eu_ll contribution: 2.5521\u000asndppt_m_sd1_1km_eu_ll contribution: 0.7747\u000asolar_1km contribution: 0.655\u000abio_12_etrs2_ras permutation importance: 0.2875\u000abio_15_etrs2_ras permutation importance: 8.3641\u000abio_18_etrs2_ras permutation importance: 3.151\u000abio_4_etrs2_ras permutation importance: 69.2011\u000abio_8_etrs2_ras permutation importance: 4.3301\u000abld_m_sd1_1km_eu_ll permutation importance: 0.5779\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 3.0755\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.1684\u000adist2water1km permutation importance: 0.0726\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.8829\u000apet_he_yr permutation importance: 0.5866\u000aphihox_m_sd1_1km_eu_ll permutation importance: 5.4686\u000asltppt_m_sd1_1km_eu_ll permutation importance: 1.9371\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.6563\u000asolar_1km permutation importance: 1.2401\u000aEntropy: 5.3461\u000aPrevalence (average of logistic output over background sites): 0.019\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0028\u000aFixed cumulative value 1 area: 0.2154\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 9.97E-07\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0408\u000aFixed cumulative value 5 area: 0.058\u000aFixed cumulative value 5 training omission: 0.0337\u000aFixed cumulative value 5 test omission: 0.1111\u000aFixed cumulative value 5 binomial probability: 1.09E-09\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1482\u000aFixed cumulative value 10 area: 0.0336\u000aFixed cumulative value 10 training omission: 0.0562\u000aFixed cumulative value 10 test omission: 0.1111\u000aFixed cumulative value 10 binomial probability: 1.42E-11\u000aMinimum training presence cumulative threshold: 2.3692\u000aMinimum training presence logistic threshold: 0.0103\u000aMinimum training presence area: 0.1089\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.15E-09\u000a10 percentile training presence cumulative threshold: 19.7599\u000a10 percentile training presence logistic threshold: 0.3669\u000a10 percentile training presence area: 0.0212\u000a10 percentile training presence training omission: 0.0899\u000a10 percentile training presence test omission: 0.1111\u000a10 percentile training 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(dp74128
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74129
sbg8
(g9
g10
NtRp74130
(dp74131
g13
Nsg14
Nsg15
VFALSE
p74132
sbg8
(g9
g10
NtRp74133
(dp74134
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74135
sbg8
(g9
g10
NtRp74136
(dp74137
g13
Nsg14
Nsg15
VFALSE
p74138
sbNNNNNNNg8
(g9
g10
NtRp74139
(dp74140
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74141
(dp74142
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74143
(dp74144
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f5-5_1940-2011_rev01
p74145
sbNNtp74146
a(g8
(g9
g10
NtRp74147
(dp74148
g13
Nsg14
Nsg15
V8c47469a-c19c-4099-90c4-c418dbbfc90f
p74149
sbNg8
(g9
g10
NtRp74150
(dp74151
g13
Nsg14
Nsg15
VEUNIS habitat type G1.5 distribution based on vegetation plot data - version 1, Jan. 2015
p74152
sbNNNNNg8
(g9
g10
NtRp74153
(dp74154
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74155
sbg8
(g23
g10
NtRp74156
(dp74157
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74158
sbNg8
(g9
g10
NtRp74159
(dp74160
g13
Nsg14
Nsg15
VFALSE
p74161
sbNNNg8
(g9
g10
NtRp74162
(dp74163
g13
Nsg14
Nsg15
VFALSE
p74164
sbNNg8
(g9
g10
NtRp74165
(dp74166
g13
Nsg14
Nsg15
VFALSE
p74167
sbNNg8
(g9
g10
NtRp74168
(dp74169
g13
Nsg14
Nsg15
VFALSE
p74170
sbNg8
(g9
g10
NtRp74171
(dp74172
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-5_dist_edt1.png
p74173
sbg8
(g9
g10
NtRp74174
(dp74175
g13
Nsg14
Nsg15
VEPSG:3035
p74176
sbg8
(g9
g10
NtRp74177
(dp74178
g13
Nsg14
Nsg15
V2019-06-04
p74179
sbNg8
(g9
g10
NtRp74180
(dp74181
g13
Nsg14
Nsg15
VHabitats and biotopes
p74182
sbg8
(g9
g10
NtRp74183
(dp74184
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p74185
sbg8
(g9
g10
NtRp74186
(dp74187
g13
Nsg14
Nsg15
Vvector
p74188
sbg8
(g9
g10
NtRp74189
(dp74190
g13
Nsg14
Nsg15
VSHP
p74191
sbNg8
(g9
g10
NtRp74192
(dp74193
g13
Nsg14
Nsg15
V1:10000000
p74194
sbNg8
(g9
g10
NtRp74195
(dp74196
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p74197
sbg8
(g9
g10
NtRp74198
(dp74199
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c47469a-c19c-4099-90c4-c418dbbfc90f
p74200
sbg8
(g9
g10
NtRp74201
(dp74202
g13
Nsg14
g74
sg15
V1940
p74203
sbg8
(g9
g10
NtRp74204
(dp74205
g13
Nsg14
g74
sg15
V2011
p74206
sbg8
(g9
g10
NtRp74207
(dp74208
g13
Nsg14
Nsg15
VTRUE
p74209
sbg8
(g9
g10
NtRp74210
(dp74211
g13
Nsg14
Nsg15
VEurope
p74212
sbg8
(g9
g10
NtRp74213
(dp74214
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74215
sbg8
(g9
g10
NtRp74216
(dp74217
g13
Nsg14
Nsg15
VFALSE
p74218
sbg8
(g9
g10
NtRp74219
(dp74220
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74221
sbg8
(g9
g10
NtRp74222
(dp74223
g13
Nsg14
Nsg15
VFALSE
p74224
sbNNNNNNNg8
(g9
g10
NtRp74225
(dp74226
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74227
(dp74228
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74229
(dp74230
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-5_1940-2011_rev01
p74231
sbNNtp74232
a(g8
(g9
g10
NtRp74233
(dp74234
g13
Nsg14
Nsg15
Vf1a254a9-574c-4ee8-b4f2-944508143575
p74235
sbNg8
(g9
g10
NtRp74236
(dp74237
g13
Nsg14
Nsg15
VHigh nature value (HNV) farmland - version 1.0, Sept. 2015
p74238
sbNNNNNg8
(g9
g10
NtRp74239
(dp74240
g13
Nsg14
Nsg15
VThe concept of HNV farmland ties together biodiversity to the continuation of farming on certain types of land and the maintenance of specific farming systems. The general goal of the data set is to enhance the European map of HNV farmland that shows the estimated distribution and presence likelihood of HNV farmland across the whole European territory.\u000a\u000aThe objective of the HNV farmland map produced by EEA is to estimate the presence likelihood of HNV farmland within Europe using existing Europe-wide datasets. The EEA points out that the existing datasets may have drawbacks for HNV farmland identification and recommends therefore that the map be used as a proxy for the distribution of HNV farmland at European level appropriate for assessment purposes only.
p74241
sbg8
(g23
g10
NtRp74242
(dp74243
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/high-nature-value-farmland
p74244
sbNg8
(g9
g10
NtRp74245
(dp74246
g13
Nsg14
Nsg15
VFALSE
p74247
sbNNNg8
(g9
g10
NtRp74248
(dp74249
g13
Nsg14
Nsg15
VFALSE
p74250
sbNNg8
(g9
g10
NtRp74251
(dp74252
g13
Nsg14
Nsg15
VFALSE
p74253
sbNNg8
(g9
g10
NtRp74254
(dp74255
g13
Nsg14
Nsg15
VFALSE
p74256
sbNg8
(g9
g10
NtRp74257
(dp74258
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1a254a9-574c-4ee8-b4f2-944508143575.png
p74259
sbg8
(g9
g10
NtRp74260
(dp74261
g13
Nsg14
Nsg15
VEPSG:3035
p74262
sbg8
(g9
g10
NtRp74263
(dp74264
g13
Nsg14
Nsg15
V2019-06-28
p74265
sbNg8
(g9
g10
NtRp74266
(dp74267
g13
Nsg14
Nsg15
VHabitats and biotopes|Land use
p74268
sbg8
(g9
g10
NtRp74269
(dp74270
g13
Nsg14
Nsg15
Vagricultural land|bird|butterfly|farming technique|grazing|protected area
p74271
sbg8
(g9
g10
NtRp74272
(dp74273
g13
Nsg14
Nsg15
Vgrid
p74274
sbg8
(g9
g10
NtRp74275
(dp74276
g13
Nsg14
Nsg15
VGTIFF
p74277
sbNg8
(g9
g10
NtRp74278
(dp74279
g13
Nsg14
Nsg15
V100m
p74280
sbNg8
(g9
g10
NtRp74281
(dp74282
g13
Nsg14
Nsg15
VThe basic mapping steps are:\u000a1) selection of relevant CORINE land cover classes in the different environmental zones in Europe per country\u000a2) refinement of the draft land cover map on the basis of additional expert rules (e.g. relating to altitude, soil quality) and country specific information\u000a3) addition of the biodiversity data layers with European coverage\u000a4) addition of national biodiversity data sets\u000a5) Up-scaling to 100*100 km2 INSPIRE grid\u000a\u000aFor a detailed methodology, please consult the report.
p74283
sbg8
(g9
g10
NtRp74284
(dp74285
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1a254a9-574c-4ee8-b4f2-944508143575
p74286
sbg8
(g9
g10
NtRp74287
(dp74288
g13
Nsg14
g74
sg15
V2006
p74289
sbg8
(g9
g10
NtRp74290
(dp74291
g13
Nsg14
g74
sg15
V2011
p74292
sbg8
(g9
g10
NtRp74293
(dp74294
g13
Nsg14
Nsg15
VTRUE
p74295
sbg8
(g9
g10
NtRp74296
(dp74297
g13
Nsg14
Nsg15
VEEA39
p74298
sbg8
(g9
g10
NtRp74299
(dp74300
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p74301
sbg8
(g9
g10
NtRp74302
(dp74303
g13
Nsg14
Nsg15
VFALSE
p74304
sbg8
(g9
g10
NtRp74305
(dp74306
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74307
sbg8
(g9
g10
NtRp74308
(dp74309
g13
Nsg14
Nsg15
VFALSE
p74310
sbNNNNNNNg8
(g9
g10
NtRp74311
(dp74312
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74313
(dp74314
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74315
(dp74316
g13
Nsg14
Nsg15
Veea_r_3035_100_m_hnv-farmland_2006-2011_rev01
p74317
sbNNtp74318
a(g8
(g9
g10
NtRp74319
(dp74320
g13
Nsg14
Nsg15
V201bab8e-e0bf-4137-bd7b-82999af0f9c4
p74321
sbNg8
(g9
g10
NtRp74322
(dp74323
g13
Nsg14
Nsg15
VEUNIS habitat type F2.3, predicted habitat suitability - version 1, June 2016
p74324
sbNNNNNg8
(g9
g10
NtRp74325
(dp74326
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in Germany should be ignored.\u000a          \u000a          Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.
p74327
sbg8
(g23
g10
NtRp74328
(dp74329
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74330
sbNg8
(g9
g10
NtRp74331
(dp74332
g13
Nsg14
Nsg15
VFALSE
p74333
sbNNNg8
(g9
g10
NtRp74334
(dp74335
g13
Nsg14
Nsg15
VFALSE
p74336
sbNNg8
(g9
g10
NtRp74337
(dp74338
g13
Nsg14
Nsg15
VFALSE
p74339
sbNNg8
(g9
g10
NtRp74340
(dp74341
g13
Nsg14
Nsg15
VFALSE
p74342
sbNg8
(g9
g10
NtRp74343
(dp74344
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_heath_bg_ed1.png
p74345
sbg8
(g9
g10
NtRp74346
(dp74347
g13
Nsg14
Nsg15
VEPSG:3035
p74348
sbg8
(g9
g10
NtRp74349
(dp74350
g13
Nsg14
Nsg15
V2019-06-04
p74351
sbNg8
(g9
g10
NtRp74352
(dp74353
g13
Nsg14
Nsg15
VHabitats and biotopes
p74354
sbg8
(g9
g10
NtRp74355
(dp74356
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p74357
sbg8
(g9
g10
NtRp74358
(dp74359
g13
Nsg14
Nsg15
Vgrid
p74360
sbg8
(g9
g10
NtRp74361
(dp74362
g13
Nsg14
Nsg15
VGTiff
p74363
sbNg8
(g9
g10
NtRp74364
(dp74365
g13
Nsg14
Nsg15
V1000m
p74366
sbNg8
(g9
g10
NtRp74367
(dp74368
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 310\u000aRegularized training gain: 1.3861\u000aUnregularized training gain: 1.6717\u000aIterations: 500\u000aTraining AUC: 0.9336\u000a#Test samples: 34\u000aTest gain: 1.5736\u000aTest AUC: 0.9223\u000aAUC Standard Deviation: 0.0127\u000a#Background points: 5171\u000abio_12_etrs2_ras contribution: 16.9077\u000abio_15_etrs2_ras contribution: 4.0239\u000abio_18_etrs2_ras contribution: 24.867\u000abio_4_etrs2_ras contribution: 13.9288\u000abio_8_etrs2_ras contribution: 2.2471\u000abld_m_sd1_1km_eu_ll contribution: 0.6196\u000acecsum_m_sd1_1km_eu_ll contribution: 3.7884\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.4739\u000acrfvol_m_sd1_1km_eu_ll contribution: 1.1602\u000adist2water1km contribution: 0.6474\u000aorcdrc_m_sd1_1km_eu_ll contribution: 19.1663\u000apet_he_yr contribution: 8.9444\u000asltppt_m_sd1_1km_eu_ll contribution: 1.591\u000asndppt_m_sd1_1km_eu_ll contribution: 0.5388\u000asolar_1km contribution: 1.0955\u000abio_12_etrs2_ras permutation importance: 17.4469\u000abio_15_etrs2_ras permutation importance: 5.4636\u000abio_18_etrs2_ras permutation importance: 7.9392\u000abio_4_etrs2_ras permutation importance: 17.8973\u000abio_8_etrs2_ras permutation importance: 4.2565\u000abld_m_sd1_1km_eu_ll permutation importance: 0.6678\u000acecsum_m_sd1_1km_eu_ll permutation importance: 3.681\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.8863\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.8538\u000adist2water1km permutation importance: 0.6989\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 11.4509\u000apet_he_yr permutation importance: 19.2714\u000asltppt_m_sd1_1km_eu_ll permutation importance: 4.0789\u000asndppt_m_sd1_1km_eu_ll permutation importance: 2.743\u000asolar_1km permutation importance: 0.6645\u000aTraining gain without bio_12_etrs2_ras: 1.3432\u000aTraining gain without bio_15_etrs2_ras: 1.3516\u000aTraining gain without bio_18_etrs2_ras: 1.3637\u000aTraining gain without bio_4_etrs2_ras: 1.3257\u000aTraining gain without bio_8_etrs2_ras: 1.3673\u000aTraining gain without bld_m_sd1_1km_eu_ll: 1.3783\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 1.3827\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 1.3779\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 1.3775\u000aTraining gain without dist2water1km: 1.3824\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.3633\u000aTraining gain without pet_he_yr: 1.332\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 1.3829\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 1.3827\u000aTraining gain without solar_1km: 1.3726\u000aTraining gain with only bio_12_etrs2_ras: 0.6005\u000aTraining gain with only bio_15_etrs2_ras: 0.2783\u000aTraining gain with only bio_18_etrs2_ras: 0.7631\u000aTraining gain with only bio_4_etrs2_ras: 0.3674\u000aTraining gain with only bio_8_etrs2_ras: 0.2441\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.5341\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.6645\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.1743\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.5479\u000aTraining gain with only dist2water1km: 0.1112\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.6554\u000aTraining gain with only pet_he_yr: 0.493\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.247\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.33\u000aTraining gain with only solar_1km: 0.5463\u000aTest gain without bio_12_etrs2_ras: 1.521\u000aTest gain without bio_15_etrs2_ras: 1.439\u000aTest gain without bio_18_etrs2_ras: 1.5765\u000aTest gain without bio_4_etrs2_ras: 1.5296\u000aTest gain without bio_8_etrs2_ras: 1.5315\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.5612\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.5522\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.5853\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.567\u000aTest gain without dist2water1km: 1.6299\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.5764\u000aTest gain without pet_he_yr: 1.4934\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.58\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.5659\u000aTest gain without solar_1km: 1.5562\u000aTest gain with only bio_12_etrs2_ras: 0.8891\u000aTest gain with only bio_15_etrs2_ras: 0.5651\u000aTest gain with only bio_18_etrs2_ras: 1.1259\u000aTest gain with only bio_4_etrs2_ras: 0.4029\u000aTest gain with only bio_8_etrs2_ras: 0.3841\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.7037\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.742\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.3473\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.7262\u000aTest gain with only dist2water1km: 0.0383\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.6827\u000aTest gain with only pet_he_yr: 0.6822\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3292\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.4808\u000aTest gain with only solar_1km: 0.6589\u000aAUC without bio_12_etrs2_ras: 0.9173\u000aAUC without bio_15_etrs2_ras: 0.9109\u000aAUC without bio_18_etrs2_ras: 0.9223\u000aAUC without bio_4_etrs2_ras: 0.9206\u000aAUC without bio_8_etrs2_ras: 0.9194\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9225\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9212\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9226\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9216\u000aAUC without dist2water1km: 0.9284\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9226\u000aAUC without pet_he_yr: 0.9149\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9227\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9209\u000aAUC without solar_1km: 0.9198\u000aAUC with only bio_12_etrs2_ras: 0.8437\u000aAUC with only bio_15_etrs2_ras: 0.776\u000aAUC with only bio_18_etrs2_ras: 0.8738\u000aAUC with only bio_4_etrs2_ras: 0.7405\u000aAUC with only bio_8_etrs2_ras: 0.6806\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.8152\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.8273\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.754\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.823\u000aAUC with only dist2water1km: 0.6304\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7952\u000aAUC with only pet_he_yr: 0.8027\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.6815\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.7782\u000aAUC with only solar_1km: 0.8154\u000aEntropy: 7.1847\u000aPrevalence (average of logistic output over background sites): 0.1241\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0195\u000aFixed cumulative value 1 area: 0.4531\u000aFixed cumulative value 1 training omission: 0.0032\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 7.47E-11\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1334\u000aFixed cumulative value 5 area: 0.2839\u000aFixed cumulative value 5 training omission: 0.0258\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.01E-20\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2251\u000aFixed cumulative value 10 area: 0.2259\u000aFixed cumulative value 10 training omission: 0.0516\u000aFixed cumulative value 10 test omission: 0.0588\u000aFixed cumulative value 10 binomial probability: 9.86E-24\u000aMinimum training presence cumulative threshold: 0.2492\u000aMinimum training presence logistic threshold: 0.0047\u000aMinimum training presence area: 0.6453\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 7.71E-06\u000a10 percentile training presence cumulative threshold: 18.007\u000a10 percentile training presence logistic threshold: 0.3192\u000a10 percentile training presence area: 0.1711\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.1471\u000a10 percentile training presence binomial probability: 2.40E-26\u000aEqual training sensitivity and specificity cumulative threshold: 23.5\u000aEqual training sensitivity and specificity logistic threshold: 0.3752\u000aEqual training sensitivity and specificity area: 0.145\u000aEqual training sensitivity and specificity training omission: 0.1452\u000aEqual training sensitivity and specificity test omission: 0.2353\u000aEqual training sensitivity and specificity binomial probability: 5.29E-25\u000aMaximum training sensitivity plus specificity cumulative threshold: 14.7775\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2827\u000aMaximum training sensitivity plus specificity area: 0.1903\u000aMaximum training sensitivity plus specificity training omission: 0.0613\u000aMaximum training sensitivity plus specificity test omission: 0.0882\u000aMaximum training sensitivity plus specificity binomial probability: 4.22E-27\u000aEqual test sensitivity and specificity cumulative threshold: 19.3368\u000aEqual test sensitivity and specificity logistic threshold: 0.3372\u000aEqual test sensitivity and specificity area: 0.1642\u000aEqual test sensitivity and specificity training omission: 0.1097\u000aEqual test sensitivity and specificity test omission: 0.1765\u000aEqual test sensitivity and specificity binomial probability: 1.55E-25\u000aMaximum test sensitivity plus specificity cumulative threshold: 7.0838\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1815\u000aMaximum test sensitivity plus specificity area: 0.2551\u000aMaximum test sensitivity plus specificity training omission: 0.0323\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.09E-23\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.4436\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0593\u000aBalance training omission, predicted area and threshold value area: 0.3506\u000aBalance training omission, predicted area and threshold value training omission: 0.0032\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 1.05E-15\u000aEquate entropy of thresholded and original distributions cumulative threshold: 7.0838\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1815\u000aEquate entropy of thresholded and original distributions area: 0.2551\u000aEquate entropy of thresholded and original distributions training omission: 0.0323\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 1.09E-23
p74369
sbg8
(g9
g10
NtRp74370
(dp74371
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/201bab8e-e0bf-4137-bd7b-82999af0f9c4
p74372
sbg8
(g9
g10
NtRp74373
(dp74374
g13
Nsg14
g74
sg15
V1940
p74375
sbg8
(g9
g10
NtRp74376
(dp74377
g13
Nsg14
g74
sg15
V2011
p74378
sbg8
(g9
g10
NtRp74379
(dp74380
g13
Nsg14
Nsg15
VTRUE
p74381
sbg8
(g9
g10
NtRp74382
(dp74383
g13
Nsg14
Nsg15
VEurope
p74384
sbg8
(g9
g10
NtRp74385
(dp74386
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74387
sbg8
(g9
g10
NtRp74388
(dp74389
g13
Nsg14
Nsg15
VFALSE
p74390
sbg8
(g9
g10
NtRp74391
(dp74392
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74393
sbg8
(g9
g10
NtRp74394
(dp74395
g13
Nsg14
Nsg15
VFALSE
p74396
sbNNNNNNNg8
(g9
g10
NtRp74397
(dp74398
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74399
(dp74400
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74401
(dp74402
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f2-3_1940-2011_rev01
p74403
sbNNtp74404
a(g8
(g9
g10
NtRp74405
(dp74406
g13
Nsg14
Nsg15
V151dafca-3e52-4744-a1fa-bdb98884b253
p74407
sbNg8
(g9
g10
NtRp74408
(dp74409
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1e distribution based on vegetation plot data - version 1, June 2016
p74410
sbNNNNNg8
(g9
g10
NtRp74411
(dp74412
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74413
sbg8
(g23
g10
NtRp74414
(dp74415
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74416
sbNg8
(g9
g10
NtRp74417
(dp74418
g13
Nsg14
Nsg15
VFALSE
p74419
sbNNNg8
(g9
g10
NtRp74420
(dp74421
g13
Nsg14
Nsg15
VFALSE
p74422
sbNNg8
(g9
g10
NtRp74423
(dp74424
g13
Nsg14
Nsg15
VFALSE
p74425
sbNNg8
(g9
g10
NtRp74426
(dp74427
g13
Nsg14
Nsg15
VFALSE
p74428
sbNg8
(g9
g10
NtRp74429
(dp74430
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_dist_edt1.png
p74431
sbg8
(g9
g10
NtRp74432
(dp74433
g13
Nsg14
Nsg15
VEPSG:3035
p74434
sbg8
(g9
g10
NtRp74435
(dp74436
g13
Nsg14
Nsg15
V2019-06-04
p74437
sbNg8
(g9
g10
NtRp74438
(dp74439
g13
Nsg14
Nsg15
VHabitats and biotopes
p74440
sbg8
(g9
g10
NtRp74441
(dp74442
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p74443
sbg8
(g9
g10
NtRp74444
(dp74445
g13
Nsg14
Nsg15
Vvector
p74446
sbg8
(g9
g10
NtRp74447
(dp74448
g13
Nsg14
Nsg15
VSHP
p74449
sbNg8
(g9
g10
NtRp74450
(dp74451
g13
Nsg14
Nsg15
V1:10000000
p74452
sbNg8
(g9
g10
NtRp74453
(dp74454
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p74455
sbg8
(g9
g10
NtRp74456
(dp74457
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/151dafca-3e52-4744-a1fa-bdb98884b253
p74458
sbg8
(g9
g10
NtRp74459
(dp74460
g13
Nsg14
g74
sg15
V1940
p74461
sbg8
(g9
g10
NtRp74462
(dp74463
g13
Nsg14
g74
sg15
V2011
p74464
sbg8
(g9
g10
NtRp74465
(dp74466
g13
Nsg14
Nsg15
VTRUE
p74467
sbg8
(g9
g10
NtRp74468
(dp74469
g13
Nsg14
Nsg15
VEurope
p74470
sbg8
(g9
g10
NtRp74471
(dp74472
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74473
sbg8
(g9
g10
NtRp74474
(dp74475
g13
Nsg14
Nsg15
VFALSE
p74476
sbg8
(g9
g10
NtRp74477
(dp74478
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74479
sbg8
(g9
g10
NtRp74480
(dp74481
g13
Nsg14
Nsg15
VFALSE
p74482
sbNNNNNNNg8
(g9
g10
NtRp74483
(dp74484
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74485
(dp74486
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74487
(dp74488
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1e_1940-2011_rev01
p74489
sbNNtp74490
a(g8
(g9
g10
NtRp74491
(dp74492
g13
Nsg14
Nsg15
V6dfd6369-24a1-494a-854f-29408270c54b
p74493
sbNg8
(g9
g10
NtRp74494
(dp74495
g13
Nsg14
Nsg15
VEUNIS habitat type B1.6a, predicted habitat suitability - version 1, June 2016
p74496
sbNNNNNg8
(g9
g10
NtRp74497
(dp74498
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\u000a			Remarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast.\u000a          \u000a          Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.
p74499
sbg8
(g23
g10
NtRp74500
(dp74501
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74502
sbNg8
(g9
g10
NtRp74503
(dp74504
g13
Nsg14
Nsg15
VFALSE
p74505
sbNNNg8
(g9
g10
NtRp74506
(dp74507
g13
Nsg14
Nsg15
VFALSE
p74508
sbNNg8
(g9
g10
NtRp74509
(dp74510
g13
Nsg14
Nsg15
VFALSE
p74511
sbNNg8
(g9
g10
NtRp74512
(dp74513
g13
Nsg14
Nsg15
VFALSE
p74514
sbNg8
(g9
g10
NtRp74515
(dp74516
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_random_bg_ed1.png
p74517
sbg8
(g9
g10
NtRp74518
(dp74519
g13
Nsg14
Nsg15
VEPSG:3035
p74520
sbg8
(g9
g10
NtRp74521
(dp74522
g13
Nsg14
Nsg15
V2019-06-04
p74523
sbNg8
(g9
g10
NtRp74524
(dp74525
g13
Nsg14
Nsg15
VHabitats and biotopes
p74526
sbg8
(g9
g10
NtRp74527
(dp74528
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p74529
sbg8
(g9
g10
NtRp74530
(dp74531
g13
Nsg14
Nsg15
Vgrid
p74532
sbg8
(g9
g10
NtRp74533
(dp74534
g13
Nsg14
Nsg15
VGTiff
p74535
sbNg8
(g9
g10
NtRp74536
(dp74537
g13
Nsg14
Nsg15
V1000m
p74538
sbNg8
(g9
g10
NtRp74539
(dp74540
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 54\u000aRegularized training gain: 3.9324\u000aUnregularized training gain: 4.1946\u000aIterations: 500\u000aTraining AUC: 0.9944\u000a#Test samples: 6\u000aTest gain: 4.7107\u000aTest AUC: 0.9974\u000aAUC Standard Deviation: 0.0013\u000a#Background points: 5054\u000abio_12_etrs2_ras contribution: 0\u000abio_15_etrs2_ras contribution: 4.9242\u000abio_18_etrs2_ras contribution: 0.2755\u000abio_4_etrs2_ras contribution: 41.7572\u000abio_8_etrs2_ras contribution: 0.3381\u000abld_m_sd1_1km_eu_ll contribution: 2.5775\u000acecsum_m_sd1_1km_eu_ll contribution: 0.7106\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.4876\u000acrfvol_m_sd1_1km_eu_ll contribution: 7.6674\u000adist2water1km contribution: 5.2114\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.0983\u000apet_he_yr contribution: 9.389\u000aphihox_m_sd1_1km_eu_ll contribution: 2.0785\u000asltppt_m_sd1_1km_eu_ll contribution: 23.9492\u000asndppt_m_sd1_1km_eu_ll contribution: 0.5353\u000asolar_1km contribution: 0\u000abio_12_etrs2_ras permutation importance: 0\u000abio_15_etrs2_ras permutation importance: 0.774\u000abio_18_etrs2_ras permutation importance: 0.0314\u000abio_4_etrs2_ras permutation importance: 83.0457\u000abio_8_etrs2_ras permutation importance: 0.2541\u000abld_m_sd1_1km_eu_ll permutation importance: 0.9691\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.0498\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.0904\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.3654\u000adist2water1km permutation importance: 0.0681\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.1283\u000apet_he_yr permutation importance: 11.412\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.4309\u000asltppt_m_sd1_1km_eu_ll permutation importance: 2.3351\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.0458\u000asolar_1km permutation importance: 0\u000aEntropy: 4.6004\u000aPrevalence (average of logistic output over background sites): 0.0091\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0067\u000aFixed cumulative value 1 area: 0.0637\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 6.69E-08\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0473\u000aFixed cumulative value 5 area: 0.0269\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 3.80E-10\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1371\u000aFixed cumulative value 10 area: 0.016\u000aFixed cumulative value 10 training omission: 0.0185\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 1.70E-11\u000aMinimum training presence cumulative threshold: 9.5384\u000aMinimum training presence logistic threshold: 0.1231\u000aMinimum training presence area: 0.0166\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.11E-11\u000a10 percentile training presence cumulative threshold: 19.3742\u000a10 percentile training presence logistic threshold: 0.3979\u000a10 percentile training presence area: 0.0101\u000a10 percentile training presence training omission: 0.0926\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 1.06E-12\u000aEqual training sensitivity and specificity cumulative threshold: 9.6841\u000aEqual training sensitivity and specificity logistic threshold: 0.1266\u000aEqual training sensitivity and specificity area: 0.0166\u000aEqual training sensitivity and specificity training omission: 0.0185\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 2.11E-11\u000aMaximum training sensitivity plus specificity cumulative threshold: 9.5384\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1231\u000aMaximum training sensitivity plus specificity area: 0.0166\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 2.11E-11\u000aEqual test sensitivity and specificity cumulative threshold: 25.3253\u000aEqual test sensitivity and specificity logistic threshold: 0.4905\u000aEqual test sensitivity and specificity area: 0.0085\u000aEqual test sensitivity and specificity training omission: 0.2222\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 3.79E-13\u000aMaximum test sensitivity plus specificity cumulative threshold: 25.3253\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4905\u000aMaximum test sensitivity plus specificity area: 0.0085\u000aMaximum test sensitivity plus specificity training omission: 0.2222\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 3.79E-13\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.0885\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0077\u000aBalance training omission, predicted area and threshold value area: 0.0613\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 5.32E-08\u000aEquate entropy of thresholded and original distributions cumulative threshold: 7.8138\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0986\u000aEquate entropy of thresholded and original distributions area: 0.0196\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 5.65E-11
p74541
sbg8
(g9
g10
NtRp74542
(dp74543
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6dfd6369-24a1-494a-854f-29408270c54b
p74544
sbg8
(g9
g10
NtRp74545
(dp74546
g13
Nsg14
g74
sg15
V1940
p74547
sbg8
(g9
g10
NtRp74548
(dp74549
g13
Nsg14
g74
sg15
V2011
p74550
sbg8
(g9
g10
NtRp74551
(dp74552
g13
Nsg14
Nsg15
VTRUE
p74553
sbg8
(g9
g10
NtRp74554
(dp74555
g13
Nsg14
Nsg15
VEurope
p74556
sbg8
(g9
g10
NtRp74557
(dp74558
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74559
sbg8
(g9
g10
NtRp74560
(dp74561
g13
Nsg14
Nsg15
VFALSE
p74562
sbg8
(g9
g10
NtRp74563
(dp74564
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74565
sbg8
(g9
g10
NtRp74566
(dp74567
g13
Nsg14
Nsg15
VFALSE
p74568
sbNNNNNNNg8
(g9
g10
NtRp74569
(dp74570
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74571
(dp74572
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74573
(dp74574
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b1-6a_1940-2011_rev01
p74575
sbNNtp74576
a(g8
(g9
g10
NtRp74577
(dp74578
g13
Nsg14
Nsg15
V0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5
p74579
sbNg8
(g9
g10
NtRp74580
(dp74581
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1c distribution based on vegetation plot data - version 1, June 2016
p74582
sbNNNNNg8
(g9
g10
NtRp74583
(dp74584
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74585
sbg8
(g23
g10
NtRp74586
(dp74587
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74588
sbNg8
(g9
g10
NtRp74589
(dp74590
g13
Nsg14
Nsg15
VFALSE
p74591
sbNNNg8
(g9
g10
NtRp74592
(dp74593
g13
Nsg14
Nsg15
VFALSE
p74594
sbNNg8
(g9
g10
NtRp74595
(dp74596
g13
Nsg14
Nsg15
VFALSE
p74597
sbNNg8
(g9
g10
NtRp74598
(dp74599
g13
Nsg14
Nsg15
VFALSE
p74600
sbNg8
(g9
g10
NtRp74601
(dp74602
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_dist_edt1.png
p74603
sbg8
(g9
g10
NtRp74604
(dp74605
g13
Nsg14
Nsg15
VEPSG:3035
p74606
sbg8
(g9
g10
NtRp74607
(dp74608
g13
Nsg14
Nsg15
V2019-06-04
p74609
sbNg8
(g9
g10
NtRp74610
(dp74611
g13
Nsg14
Nsg15
VHabitats and biotopes
p74612
sbg8
(g9
g10
NtRp74613
(dp74614
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p74615
sbg8
(g9
g10
NtRp74616
(dp74617
g13
Nsg14
Nsg15
Vvector
p74618
sbg8
(g9
g10
NtRp74619
(dp74620
g13
Nsg14
Nsg15
VSHP
p74621
sbNg8
(g9
g10
NtRp74622
(dp74623
g13
Nsg14
Nsg15
V1:10000000
p74624
sbNg8
(g9
g10
NtRp74625
(dp74626
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p74627
sbg8
(g9
g10
NtRp74628
(dp74629
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5
p74630
sbg8
(g9
g10
NtRp74631
(dp74632
g13
Nsg14
g74
sg15
V1940
p74633
sbg8
(g9
g10
NtRp74634
(dp74635
g13
Nsg14
g74
sg15
V2011
p74636
sbg8
(g9
g10
NtRp74637
(dp74638
g13
Nsg14
Nsg15
VTRUE
p74639
sbg8
(g9
g10
NtRp74640
(dp74641
g13
Nsg14
Nsg15
VEurope
p74642
sbg8
(g9
g10
NtRp74643
(dp74644
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74645
sbg8
(g9
g10
NtRp74646
(dp74647
g13
Nsg14
Nsg15
VFALSE
p74648
sbg8
(g9
g10
NtRp74649
(dp74650
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74651
sbg8
(g9
g10
NtRp74652
(dp74653
g13
Nsg14
Nsg15
VFALSE
p74654
sbNNNNNNNg8
(g9
g10
NtRp74655
(dp74656
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74657
(dp74658
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74659
(dp74660
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1c_1940-2011_rev01
p74661
sbNNtp74662
a(g8
(g9
g10
NtRp74663
(dp74664
g13
Nsg14
Nsg15
V7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8
p74665
sbNg8
(g9
g10
NtRp74666
(dp74667
g13
Nsg14
Nsg15
VEUNIS habitat type G3.7, predicted distribution of habitat suitability - version 1, Jan. 2015
p74668
sbNNNNNg8
(g9
g10
NtRp74669
(dp74670
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p74671
sbg8
(g23
g10
NtRp74672
(dp74673
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74674
sbNg8
(g9
g10
NtRp74675
(dp74676
g13
Nsg14
Nsg15
VFALSE
p74677
sbNNNg8
(g9
g10
NtRp74678
(dp74679
g13
Nsg14
Nsg15
VFALSE
p74680
sbNNg8
(g9
g10
NtRp74681
(dp74682
g13
Nsg14
Nsg15
VFALSE
p74683
sbNNg8
(g9
g10
NtRp74684
(dp74685
g13
Nsg14
Nsg15
VFALSE
p74686
sbNg8
(g9
g10
NtRp74687
(dp74688
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_random_bg_ed1.png
p74689
sbg8
(g9
g10
NtRp74690
(dp74691
g13
Nsg14
Nsg15
VEPSG:3035
p74692
sbg8
(g9
g10
NtRp74693
(dp74694
g13
Nsg14
Nsg15
V2019-06-04
p74695
sbNg8
(g9
g10
NtRp74696
(dp74697
g13
Nsg14
Nsg15
VHabitats and biotopes
p74698
sbg8
(g9
g10
NtRp74699
(dp74700
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p74701
sbg8
(g9
g10
NtRp74702
(dp74703
g13
Nsg14
Nsg15
Vgrid
p74704
sbg8
(g9
g10
NtRp74705
(dp74706
g13
Nsg14
Nsg15
VAAIGrid
p74707
sbNg8
(g9
g10
NtRp74708
(dp74709
g13
Nsg14
Nsg15
V1000m
p74710
sbNg8
(g9
g10
NtRp74711
(dp74712
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 374\u000aRegularized training gain: 2.0486\u000aUnregularized training gain: 2.2355\u000aIterations: 500\u000aTraining AUC: 0.9617\u000a#Test samples: 41\u000aTest gain: 2.1333\u000aTest AUC: 0.957\u000aAUC Standard Deviation: 0.0066\u000a#Background points: 10374\u000abio_12_etrs2_ras contribution: 3.8205\u000abio_15_etrs2_ras contribution: 4.7735\u000abio_18_etrs2_ras contribution: 5.8938\u000abio_4_etrs2_ras contribution: 50.976\u000abio_8_etrs2_ras contribution: 12.802\u000adist2water1km contribution: 2.7684\u000apet_he_yr contribution: 17.4106\u000asoil_ph contribution: 0.5871\u000asolar_1km contribution: 0.9681\u000abio_12_etrs2_ras permutation importance: 6.0613\u000abio_15_etrs2_ras permutation importance: 3.3478\u000abio_18_etrs2_ras permutation importance: 8.3798\u000abio_4_etrs2_ras permutation importance: 44.8591\u000abio_8_etrs2_ras permutation importance: 13.9173\u000adist2water1km permutation importance: 1.5117\u000apet_he_yr permutation importance: 20.088\u000asoil_ph permutation importance: 1.1104\u000asolar_1km permutation importance: 0.7248\u000aEntropy: 7.2124\u000aPrevalence (average of logistic output over background sites): 0.0631\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0163\u000aFixed cumulative value 1 area: 0.2637\u000aFixed cumulative value 1 training omission: 0.0027\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 5.17E-27\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1133\u000aFixed cumulative value 5 area: 0.1537\u000aFixed cumulative value 5 training omission: 0.0214\u000aFixed cumulative value 5 test omission: 0.0244\u000aFixed cumulative value 5 binomial probability: 1.52E-48\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1922\u000aFixed cumulative value 10 area: 0.1177\u000aFixed cumulative value 10 training omission: 0.0615\u000aFixed cumulative value 10 test omission: 0.122\u000aFixed cumulative value 10 binomial probability: 7.15E-52\u000aMinimum training presence cumulative threshold: 0.7062\u000aMinimum training presence logistic threshold: 0.0116\u000aMinimum training presence area: 0.2909\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 7.88E-24\u000a10 percentile training presence cumulative threshold: 16.334\u000a10 percentile training presence logistic threshold: 0.2834\u000a10 percentile training presence area: 0.0907\u000a10 percentile training presence training omission: 0.0989\u000a10 percentile training presence test omission: 0.1463\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 15.5115\u000aEqual training sensitivity and specificity logistic threshold: 0.2726\u000aEqual training sensitivity and specificity area: 0.0936\u000aEqual training sensitivity and specificity training omission: 0.0936\u000aEqual training sensitivity and specificity test omission: 0.122\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.4594\u000aMaximum training sensitivity plus specificity logistic threshold: 0.141\u000aMaximum training sensitivity plus specificity area: 0.1404\u000aMaximum training sensitivity plus specificity training omission: 0.0214\u000aMaximum training sensitivity plus specificity test omission: 0.0488\u000aMaximum training sensitivity plus specificity binomial probability: 8.83E-51\u000aEqual test sensitivity and specificity cumulative threshold: 9.9992\u000aEqual test sensitivity and specificity logistic threshold: 0.1913\u000aEqual test sensitivity and specificity area: 0.1178\u000aEqual test sensitivity and specificity training omission: 0.0615\u000aEqual test sensitivity and specificity test omission: 0.122\u000aEqual test sensitivity and specificity binomial probability: 7.98E-52\u000aMaximum test sensitivity plus specificity cumulative threshold: 6.2524\u000aMaximum test sensitivity plus specificity logistic threshold: 0.137\u000aMaximum test sensitivity plus specificity area: 0.1421\u000aMaximum test sensitivity plus specificity training omission: 0.0214\u000aMaximum test sensitivity plus specificity test omission: 0.0244\u000aMaximum test sensitivity plus specificity binomial probability: 4.69E-53\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.0756\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0375\u000aBalance training omission, predicted area and threshold value area: 0.2073\u000aBalance training omission, predicted area and threshold value training omission: 0.0027\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.92E-36\u000aEquate entropy of thresholded and original distributions cumulative threshold: 7.8306\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1671\u000aEquate entropy of thresholded and original distributions area: 0.1307\u000aEquate entropy of thresholded and original distributions training omission: 0.0374\u000aEquate entropy of thresholded and original distributions test omission: 0.0732\u000aEquate entropy of thresholded and original distributions binomial probability: 5.73E-52
p74713
sbg8
(g9
g10
NtRp74714
(dp74715
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8
p74716
sbg8
(g9
g10
NtRp74717
(dp74718
g13
Nsg14
g74
sg15
V1940
p74719
sbg8
(g9
g10
NtRp74720
(dp74721
g13
Nsg14
g74
sg15
V2011
p74722
sbg8
(g9
g10
NtRp74723
(dp74724
g13
Nsg14
Nsg15
VTRUE
p74725
sbg8
(g9
g10
NtRp74726
(dp74727
g13
Nsg14
Nsg15
VEurope
p74728
sbg8
(g9
g10
NtRp74729
(dp74730
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74731
sbg8
(g9
g10
NtRp74732
(dp74733
g13
Nsg14
Nsg15
VFALSE
p74734
sbg8
(g9
g10
NtRp74735
(dp74736
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74737
sbg8
(g9
g10
NtRp74738
(dp74739
g13
Nsg14
Nsg15
VFALSE
p74740
sbNNNNNNNg8
(g9
g10
NtRp74741
(dp74742
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74743
(dp74744
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74745
(dp74746
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-7_1940-2011_rev01
p74747
sbNNtp74748
a(g8
(g9
g10
NtRp74749
(dp74750
g13
Nsg14
Nsg15
Vdd3042e6-bab5-4e17-9f3e-c89998dade41
p74751
sbNg8
(g9
g10
NtRp74752
(dp74753
g13
Nsg14
Nsg15
VEUNIS habitat type B1-6a distribution based on vegetation plot data - version 1, June 2016
p74754
sbNNNNNg8
(g9
g10
NtRp74755
(dp74756
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74757
sbg8
(g23
g10
NtRp74758
(dp74759
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74760
sbNg8
(g9
g10
NtRp74761
(dp74762
g13
Nsg14
Nsg15
VFALSE
p74763
sbNNNg8
(g9
g10
NtRp74764
(dp74765
g13
Nsg14
Nsg15
VFALSE
p74766
sbNNg8
(g9
g10
NtRp74767
(dp74768
g13
Nsg14
Nsg15
VFALSE
p74769
sbNNg8
(g9
g10
NtRp74770
(dp74771
g13
Nsg14
Nsg15
VFALSE
p74772
sbNg8
(g9
g10
NtRp74773
(dp74774
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_dist_edt1.png
p74775
sbg8
(g9
g10
NtRp74776
(dp74777
g13
Nsg14
Nsg15
VEPSG:3035
p74778
sbg8
(g9
g10
NtRp74779
(dp74780
g13
Nsg14
Nsg15
V2019-06-04
p74781
sbNg8
(g9
g10
NtRp74782
(dp74783
g13
Nsg14
Nsg15
VHabitats and biotopes
p74784
sbg8
(g9
g10
NtRp74785
(dp74786
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p74787
sbg8
(g9
g10
NtRp74788
(dp74789
g13
Nsg14
Nsg15
Vvector
p74790
sbg8
(g9
g10
NtRp74791
(dp74792
g13
Nsg14
Nsg15
VSHP
p74793
sbNg8
(g9
g10
NtRp74794
(dp74795
g13
Nsg14
Nsg15
V1:10000000
p74796
sbNg8
(g9
g10
NtRp74797
(dp74798
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p74799
sbg8
(g9
g10
NtRp74800
(dp74801
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd3042e6-bab5-4e17-9f3e-c89998dade41
p74802
sbg8
(g9
g10
NtRp74803
(dp74804
g13
Nsg14
g74
sg15
V1940
p74805
sbg8
(g9
g10
NtRp74806
(dp74807
g13
Nsg14
g74
sg15
V2011
p74808
sbg8
(g9
g10
NtRp74809
(dp74810
g13
Nsg14
Nsg15
VTRUE
p74811
sbg8
(g9
g10
NtRp74812
(dp74813
g13
Nsg14
Nsg15
VEurope
p74814
sbg8
(g9
g10
NtRp74815
(dp74816
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74817
sbg8
(g9
g10
NtRp74818
(dp74819
g13
Nsg14
Nsg15
VFALSE
p74820
sbg8
(g9
g10
NtRp74821
(dp74822
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74823
sbg8
(g9
g10
NtRp74824
(dp74825
g13
Nsg14
Nsg15
VFALSE
p74826
sbNNNNNNNg8
(g9
g10
NtRp74827
(dp74828
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74829
(dp74830
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74831
(dp74832
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b1-6a_1940-2011_rev01
p74833
sbNNtp74834
a(g8
(g9
g10
NtRp74835
(dp74836
g13
Nsg14
Nsg15
V7b064c18-3998-4c76-b69a-7e63cb4fdd06
p74837
sbNg8
(g9
g10
NtRp74838
(dp74839
g13
Nsg14
Nsg15
VEUNIS habitat type F2-2a distribution based on vegetation plot data - version 1, June 2016
p74840
sbNNNNNg8
(g9
g10
NtRp74841
(dp74842
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74843
sbg8
(g23
g10
NtRp74844
(dp74845
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74846
sbNg8
(g9
g10
NtRp74847
(dp74848
g13
Nsg14
Nsg15
VFALSE
p74849
sbNNNg8
(g9
g10
NtRp74850
(dp74851
g13
Nsg14
Nsg15
VFALSE
p74852
sbNNg8
(g9
g10
NtRp74853
(dp74854
g13
Nsg14
Nsg15
VFALSE
p74855
sbNNg8
(g9
g10
NtRp74856
(dp74857
g13
Nsg14
Nsg15
VFALSE
p74858
sbNg8
(g9
g10
NtRp74859
(dp74860
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_dist_edt1.png
p74861
sbg8
(g9
g10
NtRp74862
(dp74863
g13
Nsg14
Nsg15
VEPSG:3035
p74864
sbg8
(g9
g10
NtRp74865
(dp74866
g13
Nsg14
Nsg15
V2019-06-04
p74867
sbNg8
(g9
g10
NtRp74868
(dp74869
g13
Nsg14
Nsg15
VHabitats and biotopes
p74870
sbg8
(g9
g10
NtRp74871
(dp74872
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p74873
sbg8
(g9
g10
NtRp74874
(dp74875
g13
Nsg14
Nsg15
Vvector
p74876
sbg8
(g9
g10
NtRp74877
(dp74878
g13
Nsg14
Nsg15
VSHP
p74879
sbNg8
(g9
g10
NtRp74880
(dp74881
g13
Nsg14
Nsg15
V1:10000000
p74882
sbNg8
(g9
g10
NtRp74883
(dp74884
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p74885
sbg8
(g9
g10
NtRp74886
(dp74887
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b064c18-3998-4c76-b69a-7e63cb4fdd06
p74888
sbg8
(g9
g10
NtRp74889
(dp74890
g13
Nsg14
g74
sg15
V1940
p74891
sbg8
(g9
g10
NtRp74892
(dp74893
g13
Nsg14
g74
sg15
V2011
p74894
sbg8
(g9
g10
NtRp74895
(dp74896
g13
Nsg14
Nsg15
VTRUE
p74897
sbg8
(g9
g10
NtRp74898
(dp74899
g13
Nsg14
Nsg15
VEurope
p74900
sbg8
(g9
g10
NtRp74901
(dp74902
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74903
sbg8
(g9
g10
NtRp74904
(dp74905
g13
Nsg14
Nsg15
VFALSE
p74906
sbg8
(g9
g10
NtRp74907
(dp74908
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74909
sbg8
(g9
g10
NtRp74910
(dp74911
g13
Nsg14
Nsg15
VFALSE
p74912
sbNNNNNNNg8
(g9
g10
NtRp74913
(dp74914
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp74915
(dp74916
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp74917
(dp74918
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f2-2a_1940-2011_rev01
p74919
sbNNtp74920
a(g8
(g9
g10
NtRp74921
(dp74922
g13
Nsg14
Nsg15
V093dabbe-857b-4c8c-ad31-31b33c4d26fe
p74923
sbNg8
(g9
g10
NtRp74924
(dp74925
g13
Nsg14
Nsg15
VEUNIS habitat type G1.4 distribution based on vegetation plot data - version 1, Jan. 2015
p74926
sbNNNNNg8
(g9
g10
NtRp74927
(dp74928
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p74929
sbg8
(g23
g10
NtRp74930
(dp74931
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p74932
sbNg8
(g9
g10
NtRp74933
(dp74934
g13
Nsg14
Nsg15
VFALSE
p74935
sbNNNg8
(g9
g10
NtRp74936
(dp74937
g13
Nsg14
Nsg15
VFALSE
p74938
sbNNg8
(g9
g10
NtRp74939
(dp74940
g13
Nsg14
Nsg15
VFALSE
p74941
sbNNg8
(g9
g10
NtRp74942
(dp74943
g13
Nsg14
Nsg15
VFALSE
p74944
sbNg8
(g9
g10
NtRp74945
(dp74946
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_dist_edt1.png
p74947
sbg8
(g9
g10
NtRp74948
(dp74949
g13
Nsg14
Nsg15
VEPSG:3035
p74950
sbg8
(g9
g10
NtRp74951
(dp74952
g13
Nsg14
Nsg15
V2019-06-04
p74953
sbNg8
(g9
g10
NtRp74954
(dp74955
g13
Nsg14
Nsg15
VHabitats and biotopes
p74956
sbg8
(g9
g10
NtRp74957
(dp74958
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p74959
sbg8
(g9
g10
NtRp74960
(dp74961
g13
Nsg14
Nsg15
Vvector
p74962
sbg8
(g9
g10
NtRp74963
(dp74964
g13
Nsg14
Nsg15
VSHP
p74965
sbNg8
(g9
g10
NtRp74966
(dp74967
g13
Nsg14
Nsg15
V1:10000000
p74968
sbNg8
(g9
g10
NtRp74969
(dp74970
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p74971
sbg8
(g9
g10
NtRp74972
(dp74973
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/093dabbe-857b-4c8c-ad31-31b33c4d26fe
p74974
sbg8
(g9
g10
NtRp74975
(dp74976
g13
Nsg14
g74
sg15
V1940
p74977
sbg8
(g9
g10
NtRp74978
(dp74979
g13
Nsg14
g74
sg15
V2011
p74980
sbg8
(g9
g10
NtRp74981
(dp74982
g13
Nsg14
Nsg15
VTRUE
p74983
sbg8
(g9
g10
NtRp74984
(dp74985
g13
Nsg14
Nsg15
VEurope
p74986
sbg8
(g9
g10
NtRp74987
(dp74988
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p74989
sbg8
(g9
g10
NtRp74990
(dp74991
g13
Nsg14
Nsg15
VFALSE
p74992
sbg8
(g9
g10
NtRp74993
(dp74994
g13
Nsg14
Nsg15
VEuropean Environment Agency
p74995
sbg8
(g9
g10
NtRp74996
(dp74997
g13
Nsg14
Nsg15
VFALSE
p74998
sbNNNNNNNg8
(g9
g10
NtRp74999
(dp75000
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75001
(dp75002
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75003
(dp75004
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-4_1940-2011_rev01
p75005
sbNNtp75006
a(g8
(g9
g10
NtRp75007
(dp75008
g13
Nsg14
Nsg15
V33e1c8bc-75be-4940-a129-70e8a4727b3f
p75009
sbNg8
(g9
g10
NtRp75010
(dp75011
g13
Nsg14
Nsg15
VEUNIS habitat type G3.1b distribution based on vegetation plot data - version 1, Jan. 2015
p75012
sbNNNNNg8
(g9
g10
NtRp75013
(dp75014
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75015
sbg8
(g23
g10
NtRp75016
(dp75017
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75018
sbNg8
(g9
g10
NtRp75019
(dp75020
g13
Nsg14
Nsg15
VFALSE
p75021
sbNNNg8
(g9
g10
NtRp75022
(dp75023
g13
Nsg14
Nsg15
VFALSE
p75024
sbNNg8
(g9
g10
NtRp75025
(dp75026
g13
Nsg14
Nsg15
VFALSE
p75027
sbNNg8
(g9
g10
NtRp75028
(dp75029
g13
Nsg14
Nsg15
VFALSE
p75030
sbNg8
(g9
g10
NtRp75031
(dp75032
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1b_dist_edt1.png
p75033
sbg8
(g9
g10
NtRp75034
(dp75035
g13
Nsg14
Nsg15
VEPSG:3035
p75036
sbg8
(g9
g10
NtRp75037
(dp75038
g13
Nsg14
Nsg15
V2019-06-04
p75039
sbNg8
(g9
g10
NtRp75040
(dp75041
g13
Nsg14
Nsg15
VHabitats and biotopes
p75042
sbg8
(g9
g10
NtRp75043
(dp75044
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p75045
sbg8
(g9
g10
NtRp75046
(dp75047
g13
Nsg14
Nsg15
Vvector
p75048
sbg8
(g9
g10
NtRp75049
(dp75050
g13
Nsg14
Nsg15
VSHP
p75051
sbNg8
(g9
g10
NtRp75052
(dp75053
g13
Nsg14
Nsg15
V1:10000000
p75054
sbNg8
(g9
g10
NtRp75055
(dp75056
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p75057
sbg8
(g9
g10
NtRp75058
(dp75059
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33e1c8bc-75be-4940-a129-70e8a4727b3f
p75060
sbg8
(g9
g10
NtRp75061
(dp75062
g13
Nsg14
g74
sg15
V1940
p75063
sbg8
(g9
g10
NtRp75064
(dp75065
g13
Nsg14
g74
sg15
V2011
p75066
sbg8
(g9
g10
NtRp75067
(dp75068
g13
Nsg14
Nsg15
VTRUE
p75069
sbg8
(g9
g10
NtRp75070
(dp75071
g13
Nsg14
Nsg15
VEurope
p75072
sbg8
(g9
g10
NtRp75073
(dp75074
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Poor prediction, should be restricted to Southern Europe.\u000a          \u000a          Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 18\u000aRegularized training gain: 3.5645\u000aUnregularized training gain: 4.4924\u000aIterations: 500\u000aTraining AUC: 0.9961\u000a#Test samples: 2\u000aTest gain: 5.6265\u000aTest AUC: 0.9995\u000aAUC Standard Deviation: 0.0003\u000a#Background points: 5018\u000abio_12_etrs2_ras contribution: 1.9425\u000abio_15_etrs2_ras contribution: 0.6398\u000abio_18_etrs2_ras contribution: 11.3689\u000abio_4_etrs2_ras contribution: 13.3294\u000abio_8_etrs2_ras contribution: 0.5679\u000abld_m_sd1_1km_eu_ll contribution: 0\u000acecsum_m_sd1_1km_eu_ll contribution: 2.2802\u000aclyppt_m_sd1_1km_eu_ll contribution: 10.3818\u000acrfvol_m_sd1_1km_eu_ll contribution: 19.27\u000adist2water1km contribution: 31.3163\u000aorcdrc_m_sd1_1km_eu_ll contribution: 2.2177\u000apet_he_yr contribution: 5.9573\u000aphihox_m_sd1_1km_eu_ll contribution: 0.2598\u000asltppt_m_sd1_1km_eu_ll contribution: 0.2645\u000asndppt_m_sd1_1km_eu_ll contribution: 0\u000asolar_1km contribution: 0.204\u000abio_12_etrs2_ras permutation importance: 1.9071\u000abio_15_etrs2_ras permutation importance: 0.0409\u000abio_18_etrs2_ras permutation importance: 34.9612\u000abio_4_etrs2_ras permutation importance: 8.4866\u000abio_8_etrs2_ras permutation importance: 1.3622\u000abld_m_sd1_1km_eu_ll permutation importance: 0\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.0477\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 33.7216\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.8799\u000adist2water1km permutation importance: 0.7084\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0\u000apet_he_yr permutation importance: 16.7348\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.0613\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.0477\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 0.0409\u000aEntropy: 4.9681\u000aPrevalence (average of logistic output over background sites): 0.013\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0023\u000aFixed cumulative value 1 area: 0.3025\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 9.15E-02\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.015\u000aFixed cumulative value 5 area: 0.1226\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.50E-02\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0364\u000aFixed cumulative value 10 area: 0.0626\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 3.92E-03\u000aMinimum training presence cumulative threshold: 16.9189\u000aMinimum training presence logistic threshold: 0.0948\u000aMinimum training presence area: 0.0295\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 8.70E-04\u000a10 percentile training presence cumulative threshold: 30.1029\u000a10 percentile training presence logistic threshold: 0.275\u000a10 percentile training presence area: 0.0096\u000a10 percentile training presence training omission: 0.0556\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial 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and specificity logistic threshold: 0.8727\u000aEqual test sensitivity and specificity area: 0.0008\u000aEqual test sensitivity and specificity training omission: 0.7778\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 6.35E-07\u000aMaximum test sensitivity plus specificity cumulative threshold: 80.3144\u000aMaximum test sensitivity plus specificity logistic threshold: 0.8727\u000aMaximum test sensitivity plus specificity area: 0.0008\u000aMaximum test sensitivity plus specificity training omission: 0.7778\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 6.35E-07\u000aBalance training omission, predicted area and threshold value cumulative threshold: 4.0242\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0113\u000aBalance training omission, predicted area and threshold value area: 0.1437\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.06E-02\u000aEquate entropy of thresholded and original distributions cumulative threshold: 17.3633\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0972\u000aEquate entropy of thresholded and original distributions area: 0.0285\u000aEquate entropy of thresholded and original distributions training omission: 0.0556\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 8.12E-04
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks:\u000a          \u000a          Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 28\u000aRegularized training gain: 2.6513\u000aUnregularized training gain: 3.2365\u000aIterations: 500\u000aTraining AUC: 0.9784\u000a#Test samples: 3\u000aTest gain: 1.7485\u000aTest AUC: 0.9554\u000aAUC Standard Deviation: 0.0168\u000a#Background points: 5028\u000abio_12_etrs2_ras contribution: 2.062\u000abio_15_etrs2_ras contribution: 2.7475\u000abio_18_etrs2_ras contribution: 5.4374\u000abio_4_etrs2_ras contribution: 15.7363\u000abio_8_etrs2_ras contribution: 13.3716\u000abld_m_sd1_1km_eu_ll contribution: 3.9422\u000acecsum_m_sd1_1km_eu_ll contribution: 3.8722\u000aclyppt_m_sd1_1km_eu_ll contribution: 4.7988\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.0194\u000adist2water1km contribution: 0.0549\u000aorcdrc_m_sd1_1km_eu_ll contribution: 6.8494\u000apet_he_yr contribution: 39.4572\u000aphihox_m_sd1_1km_eu_ll contribution: 0.0006\u000asltppt_m_sd1_1km_eu_ll contribution: 0\u000asndppt_m_sd1_1km_eu_ll contribution: 0\u000asolar_1km contribution: 1.6505\u000abio_12_etrs2_ras permutation importance: 2.6305\u000abio_15_etrs2_ras permutation importance: 2.3392\u000abio_18_etrs2_ras permutation importance: 9.287\u000abio_4_etrs2_ras permutation importance: 7.7913\u000abio_8_etrs2_ras permutation importance: 28.9472\u000abld_m_sd1_1km_eu_ll permutation importance: 22.3513\u000acecsum_m_sd1_1km_eu_ll permutation importance: 12.7336\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.8768\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.1092\u000adist2water1km permutation importance: 0.0152\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 1.6717\u000apet_he_yr permutation importance: 8.5437\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.0273\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 2.676\u000aEntropy: 5.8744\u000aPrevalence (average of logistic output over background sites): 0.0339\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.007\u000aFixed cumulative value 1 area: 0.3117\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 3.03E-02\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0396\u000aFixed cumulative value 5 area: 0.1553\u000aFixed cumulative value 5 training omission: 0.0357\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 3.75E-03\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0871\u000aFixed cumulative value 10 area: 0.1002\u000aFixed cumulative value 10 training omission: 0.0714\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 1.01E-03\u000aMinimum training presence cumulative threshold: 4.0019\u000aMinimum training presence logistic threshold: 0.0304\u000aMinimum training presence area: 0.1748\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.34E-03\u000a10 percentile training presence cumulative threshold: 17.2303\u000a10 percentile training presence logistic threshold: 0.1588\u000a10 percentile training presence area: 0.0623\u000a10 percentile training presence training omission: 0.0714\u000a10 percentile training presence test omission: 0.3333\u000a10 percentile training presence binomial probability: 1.11E-02\u000aEqual training sensitivity and specificity cumulative threshold: 15.0028\u000aEqual training sensitivity and specificity logistic threshold: 0.1363\u000aEqual training sensitivity and specificity area: 0.0714\u000aEqual training sensitivity and specificity training omission: 0.0714\u000aEqual training sensitivity and specificity test omission: 0.3333\u000aEqual training sensitivity and specificity binomial probability: 1.46E-02\u000aMaximum training sensitivity plus specificity cumulative threshold: 17.2303\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1588\u000aMaximum training sensitivity plus specificity area: 0.0623\u000aMaximum training sensitivity plus specificity training omission: 0.0714\u000aMaximum training sensitivity plus specificity test omission: 0.3333\u000aMaximum training sensitivity plus specificity binomial probability: 1.11E-02\u000aEqual test sensitivity and specificity cumulative threshold: 13.7596\u000aEqual test sensitivity and specificity logistic threshold: 0.1225\u000aEqual test sensitivity and specificity area: 0.0772\u000aEqual test sensitivity and specificity training omission: 0.0714\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 4.59E-04\u000aMaximum test sensitivity plus specificity cumulative threshold: 13.7596\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1225\u000aMaximum test sensitivity plus specificity area: 0.0772\u000aMaximum test sensitivity plus specificity training omission: 0.0714\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 4.59E-04\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.5898\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0275\u000aBalance training omission, predicted area and threshold value area: 0.1848\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 6.31E-03\u000aEquate entropy of thresholded and original distributions cumulative threshold: 15.1812\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1374\u000aEquate entropy of thresholded and original distributions area: 0.0706\u000aEquate entropy of thresholded and original distributions training omission: 0.0714\u000aEquate entropy of thresholded and original distributions test omission: 0.3333\u000aEquate entropy of thresholded and original distributions binomial probability: 1.43E-02
p75229
sbg8
(g9
g10
NtRp75230
(dp75231
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0849cb5-3199-440f-a6f2-81d06b9d6f24
p75232
sbg8
(g9
g10
NtRp75233
(dp75234
g13
Nsg14
g74
sg15
V1940
p75235
sbg8
(g9
g10
NtRp75236
(dp75237
g13
Nsg14
g74
sg15
V2011
p75238
sbg8
(g9
g10
NtRp75239
(dp75240
g13
Nsg14
Nsg15
VTRUE
p75241
sbg8
(g9
g10
NtRp75242
(dp75243
g13
Nsg14
Nsg15
VEurope
p75244
sbg8
(g9
g10
NtRp75245
(dp75246
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75247
sbg8
(g9
g10
NtRp75248
(dp75249
g13
Nsg14
Nsg15
VFALSE
p75250
sbg8
(g9
g10
NtRp75251
(dp75252
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75253
sbg8
(g9
g10
NtRp75254
(dp75255
g13
Nsg14
Nsg15
VFALSE
p75256
sbNNNNNNNg8
(g9
g10
NtRp75257
(dp75258
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75259
(dp75260
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75261
(dp75262
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f9-1a_1940-2011_rev01
p75263
sbNNtp75264
a(g8
(g9
g10
NtRp75265
(dp75266
g13
Nsg14
Nsg15
V20c0d49f-4ef6-43d7-8829-d0b1b1657497
p75267
sbNg8
(g9
g10
NtRp75268
(dp75269
g13
Nsg14
Nsg15
VEUNIS habitat type F4.1, predicted habitat suitability - version 1, June 2016
p75270
sbNNNNNg8
(g9
g10
NtRp75271
(dp75272
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
p75273
sbg8
(g23
g10
NtRp75274
(dp75275
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75276
sbNg8
(g9
g10
NtRp75277
(dp75278
g13
Nsg14
Nsg15
VFALSE
p75279
sbNNNg8
(g9
g10
NtRp75280
(dp75281
g13
Nsg14
Nsg15
VFALSE
p75282
sbNNg8
(g9
g10
NtRp75283
(dp75284
g13
Nsg14
Nsg15
VFALSE
p75285
sbNNg8
(g9
g10
NtRp75286
(dp75287
g13
Nsg14
Nsg15
VFALSE
p75288
sbNg8
(g9
g10
NtRp75289
(dp75290
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_random_bg_ed1.png
p75291
sbg8
(g9
g10
NtRp75292
(dp75293
g13
Nsg14
Nsg15
VEPSG:3035
p75294
sbg8
(g9
g10
NtRp75295
(dp75296
g13
Nsg14
Nsg15
V2019-06-04
p75297
sbNg8
(g9
g10
NtRp75298
(dp75299
g13
Nsg14
Nsg15
VHabitats and biotopes
p75300
sbg8
(g9
g10
NtRp75301
(dp75302
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p75303
sbg8
(g9
g10
NtRp75304
(dp75305
g13
Nsg14
Nsg15
Vgrid
p75306
sbg8
(g9
g10
NtRp75307
(dp75308
g13
Nsg14
Nsg15
VGTiff
p75309
sbNg8
(g9
g10
NtRp75310
(dp75311
g13
Nsg14
Nsg15
V1000m
p75312
sbNg8
(g9
g10
NtRp75313
(dp75314
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 881\u000aRegularized training gain: 1.4152\u000aUnregularized training gain: 1.4859\u000aIterations: 500\u000aTraining AUC: 0.9118\u000a#Test samples: 97\u000aTest gain: 1.559\u000aTest AUC: 0.9158\u000aAUC Standard Deviation: 0.0062\u000a#Background points: 5880\u000abio_12_etrs2_ras contribution: 0.1603\u000abio_15_etrs2_ras contribution: 0.6302\u000abio_18_etrs2_ras contribution: 0.3854\u000abio_4_etrs2_ras contribution: 74.6549\u000abio_8_etrs2_ras contribution: 0.3431\u000abld_m_sd1_1km_eu_ll contribution: 4.9738\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0011\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.6261\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.001\u000adist2water1km contribution: 0.0314\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.071\u000apet_he_yr contribution: 5.217\u000aphihox_m_sd1_1km_eu_ll contribution: 6.5263\u000asltppt_m_sd1_1km_eu_ll contribution: 4.9587\u000asndppt_m_sd1_1km_eu_ll contribution: 1.1275\u000asolar_1km contribution: 0.2921\u000abio_12_etrs2_ras permutation importance: 0.5099\u000abio_15_etrs2_ras permutation importance: 2.3547\u000abio_18_etrs2_ras permutation importance: 1.37\u000abio_4_etrs2_ras permutation importance: 76.617\u000abio_8_etrs2_ras permutation importance: 0.3155\u000abld_m_sd1_1km_eu_ll permutation importance: 3.1889\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.0214\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 2.8413\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.0048\u000adist2water1km permutation importance: 0.1075\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.1084\u000apet_he_yr permutation importance: 8.2662\u000aphihox_m_sd1_1km_eu_ll permutation importance: 3.1318\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.6201\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.1568\u000asolar_1km permutation importance: 0.3858\u000aEntropy: 7.2663\u000aPrevalence (average of logistic output over background sites): 0.1182\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.033\u000aFixed cumulative value 1 area: 0.3383\u000aFixed cumulative value 1 training omission: 0.0023\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.80E-43\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.163\u000aFixed cumulative value 5 area: 0.2308\u000aFixed cumulative value 5 training omission: 0.0295\u000aFixed cumulative value 5 test omission: 0.0103\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2964\u000aFixed cumulative value 10 area: 0.1889\u000aFixed cumulative value 10 training omission: 0.0783\u000aFixed cumulative value 10 test omission: 0.0309\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0614\u000aMinimum training presence logistic threshold: 0.0014\u000aMinimum training presence area: 0.5969\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.91E-16\u000a10 percentile training presence cumulative threshold: 12.8354\u000a10 percentile training presence logistic threshold: 0.3453\u000a10 percentile training presence area: 0.1743\u000a10 percentile training presence training omission: 0.0999\u000a10 percentile training presence test omission: 0.0412\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 18.1245\u000aEqual training sensitivity and specificity logistic threshold: 0.4071\u000aEqual training sensitivity and specificity area: 0.1529\u000aEqual training sensitivity and specificity training omission: 0.1532\u000aEqual training sensitivity and specificity test omission: 0.0825\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.2191\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1969\u000aMaximum training sensitivity plus specificity area: 0.2173\u000aMaximum training sensitivity plus specificity training omission: 0.0386\u000aMaximum training sensitivity plus specificity test omission: 0.0206\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 24.5862\u000aEqual test sensitivity and specificity logistic threshold: 0.4655\u000aEqual test sensitivity and specificity area: 0.1327\u000aEqual test sensitivity and specificity training omission: 0.2032\u000aEqual test sensitivity and specificity test omission: 0.134\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 13.6499\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3537\u000aMaximum test sensitivity plus specificity area: 0.1707\u000aMaximum test sensitivity plus specificity training omission: 0.1078\u000aMaximum test sensitivity plus specificity test omission: 0.0412\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.4267\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0819\u000aBalance training omission, predicted area and threshold value area: 0.2786\u000aBalance training omission, predicted area and threshold value training omission: 0.0034\u000aBalance training omission, predicted area and threshold value test omission: 0.0103\u000aBalance training omission, predicted area and threshold value binomial probability: 2.54E-55\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.1097\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1307\u000aEquate entropy of thresholded and original distributions area: 0.2434\u000aEquate entropy of thresholded and original distributions training omission: 0.0216\u000aEquate entropy of thresholded and original distributions test omission: 0.0103\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p75315
sbg8
(g9
g10
NtRp75316
(dp75317
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20c0d49f-4ef6-43d7-8829-d0b1b1657497
p75318
sbg8
(g9
g10
NtRp75319
(dp75320
g13
Nsg14
g74
sg15
V1940
p75321
sbg8
(g9
g10
NtRp75322
(dp75323
g13
Nsg14
g74
sg15
V2011
p75324
sbg8
(g9
g10
NtRp75325
(dp75326
g13
Nsg14
Nsg15
VTRUE
p75327
sbg8
(g9
g10
NtRp75328
(dp75329
g13
Nsg14
Nsg15
VEurope
p75330
sbg8
(g9
g10
NtRp75331
(dp75332
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75333
sbg8
(g9
g10
NtRp75334
(dp75335
g13
Nsg14
Nsg15
VFALSE
p75336
sbg8
(g9
g10
NtRp75337
(dp75338
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75339
sbg8
(g9
g10
NtRp75340
(dp75341
g13
Nsg14
Nsg15
VFALSE
p75342
sbNNNNNNNg8
(g9
g10
NtRp75343
(dp75344
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75345
(dp75346
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75347
(dp75348
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f4-1_1940-2011_rev01
p75349
sbNNtp75350
a(g8
(g9
g10
NtRp75351
(dp75352
g13
Nsg14
Nsg15
V2f51f5d4-26a6-4e73-8a10-c4630ee8ab59
p75353
sbNg8
(g9
g10
NtRp75354
(dp75355
g13
Nsg14
Nsg15
VEUNIS habitat type F7-4b distribution based on vegetation plot data - version 1, June 2016
p75356
sbNNNNNg8
(g9
g10
NtRp75357
(dp75358
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75359
sbg8
(g23
g10
NtRp75360
(dp75361
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75362
sbNg8
(g9
g10
NtRp75363
(dp75364
g13
Nsg14
Nsg15
VFALSE
p75365
sbNNNg8
(g9
g10
NtRp75366
(dp75367
g13
Nsg14
Nsg15
VFALSE
p75368
sbNNg8
(g9
g10
NtRp75369
(dp75370
g13
Nsg14
Nsg15
VFALSE
p75371
sbNNg8
(g9
g10
NtRp75372
(dp75373
g13
Nsg14
Nsg15
VFALSE
p75374
sbNg8
(g9
g10
NtRp75375
(dp75376
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4b_dist_edt1.png
p75377
sbg8
(g9
g10
NtRp75378
(dp75379
g13
Nsg14
Nsg15
VEPSG:3035
p75380
sbg8
(g9
g10
NtRp75381
(dp75382
g13
Nsg14
Nsg15
V2019-06-04
p75383
sbNg8
(g9
g10
NtRp75384
(dp75385
g13
Nsg14
Nsg15
VHabitats and biotopes
p75386
sbg8
(g9
g10
NtRp75387
(dp75388
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p75389
sbg8
(g9
g10
NtRp75390
(dp75391
g13
Nsg14
Nsg15
Vvector
p75392
sbg8
(g9
g10
NtRp75393
(dp75394
g13
Nsg14
Nsg15
VSHP
p75395
sbNg8
(g9
g10
NtRp75396
(dp75397
g13
Nsg14
Nsg15
V1:10000000
p75398
sbNg8
(g9
g10
NtRp75399
(dp75400
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p75401
sbg8
(g9
g10
NtRp75402
(dp75403
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f51f5d4-26a6-4e73-8a10-c4630ee8ab59
p75404
sbg8
(g9
g10
NtRp75405
(dp75406
g13
Nsg14
g74
sg15
V1940
p75407
sbg8
(g9
g10
NtRp75408
(dp75409
g13
Nsg14
g74
sg15
V2011
p75410
sbg8
(g9
g10
NtRp75411
(dp75412
g13
Nsg14
Nsg15
VTRUE
p75413
sbg8
(g9
g10
NtRp75414
(dp75415
g13
Nsg14
Nsg15
VEurope
p75416
sbg8
(g9
g10
NtRp75417
(dp75418
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75419
sbg8
(g9
g10
NtRp75420
(dp75421
g13
Nsg14
Nsg15
VFALSE
p75422
sbg8
(g9
g10
NtRp75423
(dp75424
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75425
sbg8
(g9
g10
NtRp75426
(dp75427
g13
Nsg14
Nsg15
VFALSE
p75428
sbNNNNNNNg8
(g9
g10
NtRp75429
(dp75430
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75431
(dp75432
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75433
(dp75434
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f7-4b_1940-2011_rev01
p75435
sbNNtp75436
a(g8
(g9
g10
NtRp75437
(dp75438
g13
Nsg14
Nsg15
V8e5906d7-72c1-45dc-99f6-0a2250000ed3
p75439
sbNg8
(g9
g10
NtRp75440
(dp75441
g13
Nsg14
Nsg15
VEUNIS habitat type F2-4 distribution based on vegetation plot data - version 1, June 2016
p75442
sbNNNNNg8
(g9
g10
NtRp75443
(dp75444
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75445
sbg8
(g23
g10
NtRp75446
(dp75447
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75448
sbNg8
(g9
g10
NtRp75449
(dp75450
g13
Nsg14
Nsg15
VFALSE
p75451
sbNNNg8
(g9
g10
NtRp75452
(dp75453
g13
Nsg14
Nsg15
VFALSE
p75454
sbNNg8
(g9
g10
NtRp75455
(dp75456
g13
Nsg14
Nsg15
VFALSE
p75457
sbNNg8
(g9
g10
NtRp75458
(dp75459
g13
Nsg14
Nsg15
VFALSE
p75460
sbNg8
(g9
g10
NtRp75461
(dp75462
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-4_dist_edt1.png
p75463
sbg8
(g9
g10
NtRp75464
(dp75465
g13
Nsg14
Nsg15
VEPSG:3035
p75466
sbg8
(g9
g10
NtRp75467
(dp75468
g13
Nsg14
Nsg15
V2019-06-04
p75469
sbNg8
(g9
g10
NtRp75470
(dp75471
g13
Nsg14
Nsg15
VHabitats and biotopes
p75472
sbg8
(g9
g10
NtRp75473
(dp75474
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p75475
sbg8
(g9
g10
NtRp75476
(dp75477
g13
Nsg14
Nsg15
Vvector
p75478
sbg8
(g9
g10
NtRp75479
(dp75480
g13
Nsg14
Nsg15
VSHP
p75481
sbNg8
(g9
g10
NtRp75482
(dp75483
g13
Nsg14
Nsg15
V1:10000000
p75484
sbNg8
(g9
g10
NtRp75485
(dp75486
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p75487
sbg8
(g9
g10
NtRp75488
(dp75489
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e5906d7-72c1-45dc-99f6-0a2250000ed3
p75490
sbg8
(g9
g10
NtRp75491
(dp75492
g13
Nsg14
g74
sg15
V1940
p75493
sbg8
(g9
g10
NtRp75494
(dp75495
g13
Nsg14
g74
sg15
V2011
p75496
sbg8
(g9
g10
NtRp75497
(dp75498
g13
Nsg14
Nsg15
VTRUE
p75499
sbg8
(g9
g10
NtRp75500
(dp75501
g13
Nsg14
Nsg15
VEurope
p75502
sbg8
(g9
g10
NtRp75503
(dp75504
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75505
sbg8
(g9
g10
NtRp75506
(dp75507
g13
Nsg14
Nsg15
VFALSE
p75508
sbg8
(g9
g10
NtRp75509
(dp75510
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75511
sbg8
(g9
g10
NtRp75512
(dp75513
g13
Nsg14
Nsg15
VFALSE
p75514
sbNNNNNNNg8
(g9
g10
NtRp75515
(dp75516
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75517
(dp75518
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75519
(dp75520
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f2-4_1940-2011_rev01
p75521
sbNNtp75522
a(g8
(g9
g10
NtRp75523
(dp75524
g13
Nsg14
Nsg15
V7a6a77f7-770b-4a0c-a89a-43068c993b4e
p75525
sbNg8
(g9
g10
NtRp75526
(dp75527
g13
Nsg14
Nsg15
VEUNIS habitat type G3.2 distribution based on vegetation plot data - version 1, Jan. 2015
p75528
sbNNNNNg8
(g9
g10
NtRp75529
(dp75530
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75531
sbg8
(g23
g10
NtRp75532
(dp75533
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75534
sbNg8
(g9
g10
NtRp75535
(dp75536
g13
Nsg14
Nsg15
VFALSE
p75537
sbNNNg8
(g9
g10
NtRp75538
(dp75539
g13
Nsg14
Nsg15
VFALSE
p75540
sbNNg8
(g9
g10
NtRp75541
(dp75542
g13
Nsg14
Nsg15
VFALSE
p75543
sbNNg8
(g9
g10
NtRp75544
(dp75545
g13
Nsg14
Nsg15
VFALSE
p75546
sbNg8
(g9
g10
NtRp75547
(dp75548
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-2_dist_edt1.png
p75549
sbg8
(g9
g10
NtRp75550
(dp75551
g13
Nsg14
Nsg15
VEPSG:3035
p75552
sbg8
(g9
g10
NtRp75553
(dp75554
g13
Nsg14
Nsg15
V2019-06-04
p75555
sbNg8
(g9
g10
NtRp75556
(dp75557
g13
Nsg14
Nsg15
VHabitats and biotopes
p75558
sbg8
(g9
g10
NtRp75559
(dp75560
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p75561
sbg8
(g9
g10
NtRp75562
(dp75563
g13
Nsg14
Nsg15
Vvector
p75564
sbg8
(g9
g10
NtRp75565
(dp75566
g13
Nsg14
Nsg15
VSHP
p75567
sbNg8
(g9
g10
NtRp75568
(dp75569
g13
Nsg14
Nsg15
V1:10000000
p75570
sbNg8
(g9
g10
NtRp75571
(dp75572
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p75573
sbg8
(g9
g10
NtRp75574
(dp75575
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a6a77f7-770b-4a0c-a89a-43068c993b4e
p75576
sbg8
(g9
g10
NtRp75577
(dp75578
g13
Nsg14
g74
sg15
V1940
p75579
sbg8
(g9
g10
NtRp75580
(dp75581
g13
Nsg14
g74
sg15
V2011
p75582
sbg8
(g9
g10
NtRp75583
(dp75584
g13
Nsg14
Nsg15
VTRUE
p75585
sbg8
(g9
g10
NtRp75586
(dp75587
g13
Nsg14
Nsg15
VEurope
p75588
sbg8
(g9
g10
NtRp75589
(dp75590
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75591
sbg8
(g9
g10
NtRp75592
(dp75593
g13
Nsg14
Nsg15
VFALSE
p75594
sbg8
(g9
g10
NtRp75595
(dp75596
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75597
sbg8
(g9
g10
NtRp75598
(dp75599
g13
Nsg14
Nsg15
VFALSE
p75600
sbNNNNNNNg8
(g9
g10
NtRp75601
(dp75602
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75603
(dp75604
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75605
(dp75606
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-2_1940-2011_rev01
p75607
sbNNtp75608
a(g8
(g9
g10
NtRp75609
(dp75610
g13
Nsg14
Nsg15
V60e29d8a-1bbf-438f-8731-01f9113f4734
p75611
sbNg8
(g9
g10
NtRp75612
(dp75613
g13
Nsg14
Nsg15
VEUNIS habitat type G3.4c distribution based on vegetation plot data - version 1, Jan. 2015
p75614
sbNNNNNg8
(g9
g10
NtRp75615
(dp75616
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75617
sbg8
(g23
g10
NtRp75618
(dp75619
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75620
sbNg8
(g9
g10
NtRp75621
(dp75622
g13
Nsg14
Nsg15
VFALSE
p75623
sbNNNg8
(g9
g10
NtRp75624
(dp75625
g13
Nsg14
Nsg15
VFALSE
p75626
sbNNg8
(g9
g10
NtRp75627
(dp75628
g13
Nsg14
Nsg15
VFALSE
p75629
sbNNg8
(g9
g10
NtRp75630
(dp75631
g13
Nsg14
Nsg15
VFALSE
p75632
sbNg8
(g9
g10
NtRp75633
(dp75634
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4c_dist_edt1.png
p75635
sbg8
(g9
g10
NtRp75636
(dp75637
g13
Nsg14
Nsg15
VEPSG:3035
p75638
sbg8
(g9
g10
NtRp75639
(dp75640
g13
Nsg14
Nsg15
V2019-06-04
p75641
sbNg8
(g9
g10
NtRp75642
(dp75643
g13
Nsg14
Nsg15
VHabitats and biotopes
p75644
sbg8
(g9
g10
NtRp75645
(dp75646
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p75647
sbg8
(g9
g10
NtRp75648
(dp75649
g13
Nsg14
Nsg15
Vvector
p75650
sbg8
(g9
g10
NtRp75651
(dp75652
g13
Nsg14
Nsg15
VSHP
p75653
sbNg8
(g9
g10
NtRp75654
(dp75655
g13
Nsg14
Nsg15
V1:10000000
p75656
sbNg8
(g9
g10
NtRp75657
(dp75658
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p75659
sbg8
(g9
g10
NtRp75660
(dp75661
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60e29d8a-1bbf-438f-8731-01f9113f4734
p75662
sbg8
(g9
g10
NtRp75663
(dp75664
g13
Nsg14
g74
sg15
V1940
p75665
sbg8
(g9
g10
NtRp75666
(dp75667
g13
Nsg14
g74
sg15
V2011
p75668
sbg8
(g9
g10
NtRp75669
(dp75670
g13
Nsg14
Nsg15
VTRUE
p75671
sbg8
(g9
g10
NtRp75672
(dp75673
g13
Nsg14
Nsg15
VEurope
p75674
sbg8
(g9
g10
NtRp75675
(dp75676
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75677
sbg8
(g9
g10
NtRp75678
(dp75679
g13
Nsg14
Nsg15
VFALSE
p75680
sbg8
(g9
g10
NtRp75681
(dp75682
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75683
sbg8
(g9
g10
NtRp75684
(dp75685
g13
Nsg14
Nsg15
VFALSE
p75686
sbNNNNNNNg8
(g9
g10
NtRp75687
(dp75688
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75689
(dp75690
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75691
(dp75692
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-4c_1940-2011_rev01
p75693
sbNNtp75694
a(g8
(g9
g10
NtRp75695
(dp75696
g13
Nsg14
Nsg15
V71a56e1a-6316-4e15-8771-d09ffdc41171
p75697
sbNg8
(g9
g10
NtRp75698
(dp75699
g13
Nsg14
Nsg15
VEUNIS habitat type F5-4 distribution based on vegetation plot data - version 1, June 2016
p75700
sbNNNNNg8
(g9
g10
NtRp75701
(dp75702
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p75703
sbg8
(g23
g10
NtRp75704
(dp75705
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75706
sbNg8
(g9
g10
NtRp75707
(dp75708
g13
Nsg14
Nsg15
VFALSE
p75709
sbNNNg8
(g9
g10
NtRp75710
(dp75711
g13
Nsg14
Nsg15
VFALSE
p75712
sbNNg8
(g9
g10
NtRp75713
(dp75714
g13
Nsg14
Nsg15
VFALSE
p75715
sbNNg8
(g9
g10
NtRp75716
(dp75717
g13
Nsg14
Nsg15
VFALSE
p75718
sbNg8
(g9
g10
NtRp75719
(dp75720
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_dist_edt1.png
p75721
sbg8
(g9
g10
NtRp75722
(dp75723
g13
Nsg14
Nsg15
VEPSG:3035
p75724
sbg8
(g9
g10
NtRp75725
(dp75726
g13
Nsg14
Nsg15
V2019-06-04
p75727
sbNg8
(g9
g10
NtRp75728
(dp75729
g13
Nsg14
Nsg15
VHabitats and biotopes
p75730
sbg8
(g9
g10
NtRp75731
(dp75732
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p75733
sbg8
(g9
g10
NtRp75734
(dp75735
g13
Nsg14
Nsg15
Vvector
p75736
sbg8
(g9
g10
NtRp75737
(dp75738
g13
Nsg14
Nsg15
VSHP
p75739
sbNg8
(g9
g10
NtRp75740
(dp75741
g13
Nsg14
Nsg15
V1:10000000
p75742
sbNg8
(g9
g10
NtRp75743
(dp75744
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p75745
sbg8
(g9
g10
NtRp75746
(dp75747
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71a56e1a-6316-4e15-8771-d09ffdc41171
p75748
sbg8
(g9
g10
NtRp75749
(dp75750
g13
Nsg14
g74
sg15
V1940
p75751
sbg8
(g9
g10
NtRp75752
(dp75753
g13
Nsg14
g74
sg15
V2011
p75754
sbg8
(g9
g10
NtRp75755
(dp75756
g13
Nsg14
Nsg15
VTRUE
p75757
sbg8
(g9
g10
NtRp75758
(dp75759
g13
Nsg14
Nsg15
VEurope
p75760
sbg8
(g9
g10
NtRp75761
(dp75762
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75763
sbg8
(g9
g10
NtRp75764
(dp75765
g13
Nsg14
Nsg15
VFALSE
p75766
sbg8
(g9
g10
NtRp75767
(dp75768
g13
Nsg14
Nsg15
VEuropean Environment Agency
p75769
sbg8
(g9
g10
NtRp75770
(dp75771
g13
Nsg14
Nsg15
VFALSE
p75772
sbNNNNNNNg8
(g9
g10
NtRp75773
(dp75774
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp75775
(dp75776
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75777
(dp75778
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f5-4_1940-2011_rev01
p75779
sbNNtp75780
a(g8
(g9
g10
NtRp75781
(dp75782
g13
Nsg14
Nsg15
Vee301df0-509d-482a-a733-aeb5fa9b2807
p75783
sbNg8
(g9
g10
NtRp75784
(dp75785
g13
Nsg14
Nsg15
VEUNIS habitat type F9.2, predicted habitat suitability - version 1, June 2016
p75786
sbNNNNNg8
(g9
g10
NtRp75787
(dp75788
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
p75789
sbg8
(g23
g10
NtRp75790
(dp75791
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75792
sbNg8
(g9
g10
NtRp75793
(dp75794
g13
Nsg14
Nsg15
VFALSE
p75795
sbNNNg8
(g9
g10
NtRp75796
(dp75797
g13
Nsg14
Nsg15
VFALSE
p75798
sbNNg8
(g9
g10
NtRp75799
(dp75800
g13
Nsg14
Nsg15
VFALSE
p75801
sbNNg8
(g9
g10
NtRp75802
(dp75803
g13
Nsg14
Nsg15
VFALSE
p75804
sbNg8
(g9
g10
NtRp75805
(dp75806
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_heath_bg_ed1.png
p75807
sbg8
(g9
g10
NtRp75808
(dp75809
g13
Nsg14
Nsg15
VEPSG:3035
p75810
sbg8
(g9
g10
NtRp75811
(dp75812
g13
Nsg14
Nsg15
V2019-06-04
p75813
sbNg8
(g9
g10
NtRp75814
(dp75815
g13
Nsg14
Nsg15
VHabitats and biotopes
p75816
sbg8
(g9
g10
NtRp75817
(dp75818
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p75819
sbg8
(g9
g10
NtRp75820
(dp75821
g13
Nsg14
Nsg15
Vgrid
p75822
sbg8
(g9
g10
NtRp75823
(dp75824
g13
Nsg14
Nsg15
VGTiff
p75825
sbNg8
(g9
g10
NtRp75826
(dp75827
g13
Nsg14
Nsg15
V1000m
p75828
sbNg8
(g9
g10
NtRp75829
(dp75830
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1234\u000aRegularized training gain: 0.472\u000aUnregularized training gain: 0.5897\u000aIterations: 500\u000aTraining AUC: 0.7945\u000a#Test samples: 137\u000aTest gain: 0.4925\u000aTest AUC: 0.7679\u000aAUC Standard Deviation: 0.0168\u000a#Background points: 5798\u000abio_12_etrs2_ras contribution: 2.8352\u000abio_15_etrs2_ras contribution: 3.6013\u000abio_18_etrs2_ras contribution: 11.8177\u000abio_4_etrs2_ras contribution: 1.0261\u000abio_8_etrs2_ras contribution: 1.021\u000abld_m_sd1_1km_eu_ll contribution: 1.6898\u000acecsum_m_sd1_1km_eu_ll contribution: 0.2901\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.8138\u000acrfvol_m_sd1_1km_eu_ll contribution: 31.0597\u000adist2water1km contribution: 1.0777\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.153\u000apet_he_yr contribution: 5.1577\u000asltppt_m_sd1_1km_eu_ll contribution: 2.4878\u000asndppt_m_sd1_1km_eu_ll contribution: 2.8443\u000asolar_1km contribution: 32.1247\u000abio_12_etrs2_ras permutation importance: 4.558\u000abio_15_etrs2_ras permutation importance: 5.6519\u000abio_18_etrs2_ras permutation importance: 11.506\u000abio_4_etrs2_ras permutation importance: 3.1255\u000abio_8_etrs2_ras permutation importance: 2.0508\u000abld_m_sd1_1km_eu_ll permutation importance: 5.028\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.8506\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 5.5312\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 23.9301\u000adist2water1km permutation importance: 1.1233\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 1.8734\u000apet_he_yr permutation importance: 7.7424\u000asltppt_m_sd1_1km_eu_ll permutation importance: 2.8432\u000asndppt_m_sd1_1km_eu_ll permutation importance: 3.1127\u000asolar_1km permutation importance: 21.0731\u000aTraining gain without bio_12_etrs2_ras: 0.466\u000aTraining gain without bio_15_etrs2_ras: 0.4594\u000aTraining gain without bio_18_etrs2_ras: 0.4605\u000aTraining gain without bio_4_etrs2_ras: 0.468\u000aTraining gain without bio_8_etrs2_ras: 0.4678\u000aTraining gain without bld_m_sd1_1km_eu_ll: 0.4665\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 0.4705\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 0.4667\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 0.4411\u000aTraining gain without dist2water1km: 0.4678\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 0.4681\u000aTraining gain without pet_he_yr: 0.4585\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 0.4694\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 0.4687\u000aTraining gain without solar_1km: 0.445\u000aTraining gain with only bio_12_etrs2_ras: 0.1094\u000aTraining gain with only bio_15_etrs2_ras: 0.033\u000aTraining gain with only bio_18_etrs2_ras: 0.1928\u000aTraining gain with only bio_4_etrs2_ras: 0.0593\u000aTraining gain with only bio_8_etrs2_ras: 0.0847\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.0798\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.1247\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.0173\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.2713\u000aTraining gain with only dist2water1km: 0.0341\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.0866\u000aTraining gain with only pet_he_yr: 0.1019\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.1146\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.0766\u000aTraining gain with only solar_1km: 0.2602\u000aTest gain without bio_12_etrs2_ras: 0.4698\u000aTest gain without bio_15_etrs2_ras: 0.4778\u000aTest gain without bio_18_etrs2_ras: 0.4733\u000aTest gain without bio_4_etrs2_ras: 0.4828\u000aTest gain without bio_8_etrs2_ras: 0.482\u000aTest gain without bld_m_sd1_1km_eu_ll: 0.511\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 0.495\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 0.4921\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 0.4835\u000aTest gain without dist2water1km: 0.476\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 0.4875\u000aTest gain without pet_he_yr: 0.4828\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 0.485\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 0.4792\u000aTest gain without solar_1km: 0.5002\u000aTest gain with only bio_12_etrs2_ras: 0.1721\u000aTest gain with only bio_15_etrs2_ras: 0.0342\u000aTest gain with only bio_18_etrs2_ras: 0.229\u000aTest gain with only bio_4_etrs2_ras: 0.0821\u000aTest gain with only bio_8_etrs2_ras: 0.1543\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.0971\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.1399\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.0329\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2595\u000aTest gain with only dist2water1km: 0.0712\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0989\u000aTest gain with only pet_he_yr: 0.1181\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.1319\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.116\u000aTest gain with only solar_1km: 0.2465\u000aAUC without bio_12_etrs2_ras: 0.7616\u000aAUC without bio_15_etrs2_ras: 0.7637\u000aAUC without bio_18_etrs2_ras: 0.7635\u000aAUC without bio_4_etrs2_ras: 0.7654\u000aAUC without bio_8_etrs2_ras: 0.7633\u000aAUC without bld_m_sd1_1km_eu_ll: 0.7743\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.7686\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.768\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.7692\u000aAUC without dist2water1km: 0.762\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.7658\u000aAUC without pet_he_yr: 0.767\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.7641\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.7642\u000aAUC without solar_1km: 0.7702\u000aAUC with only bio_12_etrs2_ras: 0.6604\u000aAUC with only bio_15_etrs2_ras: 0.5555\u000aAUC with only bio_18_etrs2_ras: 0.6796\u000aAUC with only bio_4_etrs2_ras: 0.6188\u000aAUC with only bio_8_etrs2_ras: 0.6718\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.5966\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.6361\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.5725\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6815\u000aAUC with only dist2water1km: 0.6108\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6134\u000aAUC with only pet_he_yr: 0.6106\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.6365\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.634\u000aAUC with only solar_1km: 0.6787\u000aEntropy: 8.1975\u000aPrevalence (average of logistic output over background sites): 0.3091\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0747\u000aFixed cumulative value 1 area: 0.7585\u000aFixed cumulative value 1 training omission: 0.0049\u000aFixed cumulative value 1 test omission: 0.0146\u000aFixed cumulative value 1 binomial probability: 2.74E-10\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2263\u000aFixed cumulative value 5 area: 0.609\u000aFixed cumulative value 5 training omission: 0.0284\u000aFixed cumulative value 5 test omission: 0.073\u000aFixed cumulative value 5 binomial probability: 1.19E-14\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3038\u000aFixed cumulative value 10 area: 0.5233\u000aFixed cumulative value 10 training omission: 0.0583\u000aFixed cumulative value 10 test omission: 0.0949\u000aFixed cumulative value 10 binomial probability: 1.81E-19\u000aMinimum training presence cumulative threshold: 0.0973\u000aMinimum training presence logistic threshold: 0.0137\u000aMinimum training presence area: 0.8974\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.78E-05\u000a10 percentile training presence cumulative threshold: 15.8761\u000a10 percentile training presence logistic threshold: 0.3701\u000a10 percentile training presence area: 0.4514\u000a10 percentile training presence training omission: 0.0997\u000a10 percentile training presence test omission: 0.146\u000a10 percentile training presence binomial probability: 1.39E-21\u000aEqual training sensitivity and specificity cumulative threshold: 36.1342\u000aEqual training sensitivity and specificity logistic threshold: 0.481\u000aEqual training sensitivity and specificity area: 0.2832\u000aEqual training sensitivity and specificity training omission: 0.2828\u000aEqual training sensitivity and specificity test omission: 0.2847\u000aEqual training sensitivity and specificity binomial probability: 1.52E-29\u000aMaximum training sensitivity plus specificity cumulative threshold: 26.821\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4385\u000aMaximum training sensitivity plus specificity area: 0.3513\u000aMaximum training sensitivity plus specificity training omission: 0.1904\u000aMaximum training sensitivity plus specificity test omission: 0.2482\u000aMaximum training sensitivity plus specificity binomial probability: 4.64E-23\u000aEqual test sensitivity and specificity cumulative threshold: 35.9049\u000aEqual test sensitivity and specificity logistic threshold: 0.48\u000aEqual test sensitivity and specificity area: 0.2848\u000aEqual test sensitivity and specificity training omission: 0.2796\u000aEqual test sensitivity and specificity test omission: 0.2847\u000aEqual test sensitivity and specificity binomial probability: 2.95E-29\u000aMaximum test sensitivity plus specificity cumulative threshold: 36.7815\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4832\u000aMaximum test sensitivity plus specificity area: 0.2787\u000aMaximum test sensitivity plus specificity training omission: 0.2869\u000aMaximum test sensitivity plus specificity test omission: 0.2847\u000aMaximum test sensitivity plus specificity binomial probability: 2.14E-30\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.47\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1364\u000aBalance training omission, predicted area and threshold value area: 0.6787\u000aBalance training omission, predicted area and threshold value training omission: 0.0089\u000aBalance training omission, predicted area and threshold value test omission: 0.0219\u000aBalance training omission, predicted area and threshold value binomial probability: 3.08E-14\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.2318\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2101\u000aEquate entropy of thresholded and original distributions area: 0.6263\u000aEquate entropy of thresholded and original distributions training omission: 0.0243\u000aEquate entropy of thresholded and original distributions test omission: 0.0584\u000aEquate entropy of thresholded and original distributions binomial probability: 1.18E-14
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. 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It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 140\u000aRegularized training gain: 2.2742\u000aUnregularized training gain: 2.644\u000aIterations: 500\u000aTraining AUC: 0.975\u000a#Test samples: 15\u000aTest gain: 2.1767\u000aTest AUC: 0.9567\u000aAUC Standard Deviation: 0.0112\u000a#Background points: 10139\u000abio_12_etrs2_ras contribution: 1.481\u000abio_15_etrs2_ras contribution: 1.5128\u000abio_18_etrs2_ras contribution: 3.1735\u000abio_4_etrs2_ras contribution: 57.3421\u000abio_8_etrs2_ras contribution: 14.5124\u000adist2water1km contribution: 0.1179\u000apet_he_yr contribution: 19.9521\u000asoil_ph contribution: 0.3936\u000asolar_1km contribution: 1.5147\u000abio_12_etrs2_ras permutation importance: 4.2909\u000abio_15_etrs2_ras permutation importance: 10.3437\u000abio_18_etrs2_ras permutation importance: 15.3893\u000abio_4_etrs2_ras permutation importance: 44.8665\u000abio_8_etrs2_ras permutation importance: 9.9109\u000adist2water1km permutation importance: 0.0855\u000apet_he_yr permutation importance: 14.1141\u000asoil_ph permutation importance: 0.2741\u000asolar_1km permutation importance: 0.725\u000aEntropy: 6.9853\u000aPrevalence (average of logistic output over background sites): 0.0517\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0172\u000aFixed cumulative value 1 area: 0.2204\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.41E-10\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0913\u000aFixed cumulative value 5 area: 0.1234\u000aFixed cumulative value 5 training omission: 0.0143\u000aFixed cumulative value 5 test omission: 0.0667\u000aFixed cumulative value 5 binomial probability: 2.52E-12\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.224\u000aFixed cumulative value 10 area: 0.0946\u000aFixed cumulative value 10 training omission: 0.0286\u000aFixed cumulative value 10 test omission: 0.1333\u000aFixed cumulative value 10 binomial probability: 4.24E-12\u000aMinimum training presence cumulative threshold: 1.3596\u000aMinimum training presence logistic threshold: 0.0235\u000aMinimum training presence area: 0.2022\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.86E-11\u000a10 percentile training presence cumulative threshold: 22.2207\u000a10 percentile training presence logistic threshold: 0.3577\u000a10 percentile training presence area: 0.0632\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.2667\u000a10 percentile training presence binomial probability: 6.93E-11\u000aEqual training sensitivity and specificity cumulative threshold: 19.1369\u000aEqual training sensitivity and specificity logistic threshold: 0.3338\u000aEqual training sensitivity and specificity area: 0.0695\u000aEqual training sensitivity and specificity training omission: 0.0714\u000aEqual training sensitivity and specificity test omission: 0.1333\u000aEqual training sensitivity and specificity binomial probability: 8.16E-14\u000aMaximum training sensitivity plus specificity cumulative threshold: 11.3366\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2459\u000aMaximum training sensitivity plus specificity area: 0.09\u000aMaximum training sensitivity plus specificity training omission: 0.0286\u000aMaximum training sensitivity plus specificity test omission: 0.1333\u000aMaximum training sensitivity plus specificity binomial probability: 2.26E-12\u000aEqual test sensitivity and specificity cumulative threshold: 6.4218\u000aEqual test sensitivity and specificity logistic threshold: 0.1369\u000aEqual test sensitivity and specificity area: 0.1115\u000aEqual test sensitivity and specificity training omission: 0.0214\u000aEqual test sensitivity and specificity test omission: 0.1333\u000aEqual test sensitivity and specificity binomial probability: 3.49E-11\u000aMaximum test sensitivity plus specificity cumulative threshold: 2.7176\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0446\u000aMaximum test sensitivity plus specificity area: 0.1592\u000aMaximum test sensitivity plus specificity training omission: 0.0071\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.07E-12\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3596\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0235\u000aBalance training omission, predicted area and threshold value area: 0.2022\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 3.86E-11\u000aEquate entropy of thresholded and original distributions cumulative threshold: 7.2558\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1631\u000aEquate entropy of thresholded and original distributions area: 0.1065\u000aEquate entropy of thresholded and original distributions training omission: 0.0214\u000aEquate entropy of thresholded and original distributions test omission: 0.1333\u000aEquate entropy of thresholded and original distributions binomial probability: 1.94E-11
p75917
sbg8
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49e533f7-e7a0-4861-80c4-ec6e98d57bfa
p75920
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V1940
p75923
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V2011
p75926
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VTRUE
p75929
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VEurope
p75932
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p75935
sbg8
(g9
g10
NtRp75936
(dp75937
g13
Nsg14
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VFALSE
p75938
sbg8
(g9
g10
NtRp75939
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VEuropean Environment Agency
p75941
sbg8
(g9
g10
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Nsg15
VFALSE
p75944
sbNNNNNNNg8
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g10
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V
sbg8
(g9
g10
NtRp75947
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp75949
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g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g2-6_1940-2011_rev01
p75951
sbNNtp75952
a(g8
(g9
g10
NtRp75953
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Va5ceb14d-be95-475f-9dcb-6ae6bb2b7676
p75955
sbNg8
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Nsg14
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VEUNIS habitat type G1.2, predicted distribution of habitat suitability - version 1, Jan. 2015
p75958
sbNNNNNg8
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g10
NtRp75959
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g13
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p75961
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p75964
sbNg8
(g9
g10
NtRp75965
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VFALSE
p75967
sbNNNg8
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VFALSE
p75970
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VFALSE
p75973
sbNNg8
(g9
g10
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(dp75975
g13
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Nsg15
VFALSE
p75976
sbNg8
(g9
g10
NtRp75977
(dp75978
g13
Nsg14
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-2_forest_bg_ed1.png
p75979
sbg8
(g9
g10
NtRp75980
(dp75981
g13
Nsg14
Nsg15
VEPSG:3035
p75982
sbg8
(g9
g10
NtRp75983
(dp75984
g13
Nsg14
Nsg15
V2019-06-04
p75985
sbNg8
(g9
g10
NtRp75986
(dp75987
g13
Nsg14
Nsg15
VHabitats and biotopes
p75988
sbg8
(g9
g10
NtRp75989
(dp75990
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p75991
sbg8
(g9
g10
NtRp75992
(dp75993
g13
Nsg14
Nsg15
Vgrid
p75994
sbg8
(g9
g10
NtRp75995
(dp75996
g13
Nsg14
Nsg15
VAAIGrid
p75997
sbNg8
(g9
g10
NtRp75998
(dp75999
g13
Nsg14
Nsg15
V1000m
p76000
sbNg8
(g9
g10
NtRp76001
(dp76002
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 2920\u000aRegularized training gain: 0.4176\u000aUnregularized training gain: 0.4819\u000aIterations: 500\u000aTraining AUC: 0.7676\u000a#Test samples: 324\u000aTest gain: 0.4149\u000aTest AUC: 0.7524\u000aAUC Standard Deviation: 0.0123\u000a#Background points: 12479\u000abio_12_etrs2_ras contribution: 4.4875\u000abio_15_etrs2_ras contribution: 1.0157\u000abio_18_etrs2_ras contribution: 31.0573\u000abio_4_etrs2_ras contribution: 5.8461\u000abio_8_etrs2_ras contribution: 5.4082\u000adist2water1km contribution: 0.929\u000apet_he_yr contribution: 5.0005\u000asoil_ph contribution: 1.7308\u000asolar_1km contribution: 44.5248\u000abio_12_etrs2_ras permutation importance: 20.9707\u000abio_15_etrs2_ras permutation importance: 2.1819\u000abio_18_etrs2_ras permutation importance: 26.6328\u000abio_4_etrs2_ras permutation importance: 15.4539\u000abio_8_etrs2_ras permutation importance: 4.9336\u000adist2water1km permutation importance: 0.768\u000apet_he_yr permutation importance: 2.4987\u000asoil_ph permutation importance: 1.6799\u000asolar_1km permutation importance: 24.8805\u000aTraining gain without bio_12_etrs2_ras: 0.4051\u000aTraining gain without bio_15_etrs2_ras: 0.4129\u000aTraining gain without bio_18_etrs2_ras: 0.3829\u000aTraining gain without bio_4_etrs2_ras: 0.3947\u000aTraining gain without bio_8_etrs2_ras: 0.4121\u000aTraining gain without dist2water1km: 0.4148\u000aTraining gain without pet_he_yr: 0.4136\u000aTraining gain without soil_ph: 0.4113\u000aTraining gain without solar_1km: 0.3732\u000aTraining gain with only bio_12_etrs2_ras: 0.0961\u000aTraining gain with only bio_15_etrs2_ras: 0.0331\u000aTraining gain with only bio_18_etrs2_ras: 0.2175\u000aTraining gain with only bio_4_etrs2_ras: 0.0597\u000aTraining gain with only bio_8_etrs2_ras: 0.1579\u000aTraining gain with only dist2water1km: 0.0184\u000aTraining gain with only pet_he_yr: 0.0814\u000aTraining gain with only soil_ph: 0.0166\u000aTraining gain with only solar_1km: 0.2315\u000aTest gain without bio_12_etrs2_ras: 0.3945\u000aTest gain without bio_15_etrs2_ras: 0.411\u000aTest gain without bio_18_etrs2_ras: 0.3891\u000aTest gain without bio_4_etrs2_ras: 0.4046\u000aTest gain without bio_8_etrs2_ras: 0.4117\u000aTest gain without dist2water1km: 0.4119\u000aTest gain without pet_he_yr: 0.4053\u000aTest gain without soil_ph: 0.4069\u000aTest gain without solar_1km: 0.3669\u000aTest gain with only bio_12_etrs2_ras: 0.107\u000aTest gain with only bio_15_etrs2_ras: 0.0533\u000aTest gain with only bio_18_etrs2_ras: 0.2085\u000aTest gain with only bio_4_etrs2_ras: 0.053\u000aTest gain with only bio_8_etrs2_ras: 0.157\u000aTest gain with only dist2water1km: 0.0235\u000aTest gain with only pet_he_yr: 0.0979\u000aTest gain with only soil_ph: 0.018\u000aTest gain with only solar_1km: 0.2364\u000aAUC without bio_12_etrs2_ras: 0.7485\u000aAUC without bio_15_etrs2_ras: 0.7515\u000aAUC without bio_18_etrs2_ras: 0.7455\u000aAUC without bio_4_etrs2_ras: 0.7513\u000aAUC without bio_8_etrs2_ras: 0.7509\u000aAUC without dist2water1km: 0.7518\u000aAUC without pet_he_yr: 0.7488\u000aAUC without soil_ph: 0.7501\u000aAUC without solar_1km: 0.7402\u000aAUC with only bio_12_etrs2_ras: 0.6363\u000aAUC with only bio_15_etrs2_ras: 0.5753\u000aAUC with only bio_18_etrs2_ras: 0.6826\u000aAUC with only bio_4_etrs2_ras: 0.58\u000aAUC with only bio_8_etrs2_ras: 0.6588\u000aAUC with only dist2water1km: 0.5504\u000aAUC with only pet_he_yr: 0.6199\u000aAUC with only soil_ph: 0.5528\u000aAUC with only solar_1km: 0.6876\u000aEntropy: 9.0145\u000aPrevalence (average of logistic output over background sites): 0.3252\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0691\u000aFixed cumulative value 1 area: 0.8021\u000aFixed cumulative value 1 training omission: 0.0062\u000aFixed cumulative value 1 test omission: 0.0185\u000aFixed cumulative value 1 binomial probability: 2.69E-16\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2225\u000aFixed cumulative value 5 area: 0.6459\u000aFixed cumulative value 5 training omission: 0.0387\u000aFixed cumulative value 5 test omission: 0.0648\u000aFixed cumulative value 5 binomial probability: 6.53E-28\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3073\u000aFixed cumulative value 10 area: 0.555\u000aFixed cumulative value 10 training omission: 0.0832\u000aFixed cumulative value 10 test omission: 0.1235\u000aFixed cumulative value 10 binomial probability: 1.20E-31\u000aMinimum training presence cumulative threshold: 0.0083\u000aMinimum training presence logistic threshold: 0.0063\u000aMinimum training presence area: 0.9854\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.43E-02\u000a10 percentile training presence cumulative threshold: 11.9852\u000a10 percentile training presence logistic threshold: 0.3296\u000a10 percentile training presence area: 0.527\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.1327\u000a10 percentile training presence binomial probability: 6.85E-35\u000aEqual training sensitivity and specificity cumulative threshold: 34.7848\u000aEqual training sensitivity and specificity logistic threshold: 0.467\u000aEqual training sensitivity and specificity area: 0.3049\u000aEqual training sensitivity and specificity training omission: 0.3048\u000aEqual training sensitivity and specificity test omission: 0.3148\u000aEqual training sensitivity and specificity binomial probability: 2.65E-50\u000aMaximum training sensitivity plus specificity cumulative threshold: 29.9538\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4459\u000aMaximum training sensitivity plus specificity area: 0.3428\u000aMaximum training sensitivity plus specificity training omission: 0.2579\u000aMaximum training sensitivity plus specificity test omission: 0.2809\u000aMaximum training sensitivity plus specificity binomial probability: 1.66E-46\u000aEqual test sensitivity and specificity cumulative threshold: 33.8958\u000aEqual test sensitivity and specificity logistic threshold: 0.4637\u000aEqual test sensitivity and specificity area: 0.3117\u000aEqual test sensitivity and specificity training omission: 0.2945\u000aEqual test sensitivity and specificity test omission: 0.3117\u000aEqual test sensitivity and specificity binomial probability: 8.68E-49\u000aMaximum test sensitivity plus specificity cumulative threshold: 37.3613\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4783\u000aMaximum test sensitivity plus specificity area: 0.286\u000aMaximum test sensitivity plus specificity training omission: 0.3257\u000aMaximum test sensitivity plus specificity test omission: 0.3241\u000aMaximum test sensitivity plus specificity binomial probability: 1.06E-54\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3525\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0904\u000aBalance training omission, predicted area and threshold value area: 0.7752\u000aBalance training omission, predicted area and threshold value training omission: 0.0086\u000aBalance training omission, predicted area and threshold value test omission: 0.0216\u000aBalance training omission, predicted area and threshold value binomial probability: 9.69E-19\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.4583\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2099\u000aEquate entropy of thresholded and original distributions area: 0.6588\u000aEquate entropy of thresholded and original distributions training omission: 0.0349\u000aEquate entropy of thresholded and original distributions test omission: 0.0617\u000aEquate entropy of thresholded and original distributions binomial probability: 1.33E-26
p76003
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g10
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5ceb14d-be95-475f-9dcb-6ae6bb2b7676
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V1940
p76009
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g74
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V2011
p76012
sbg8
(g9
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VTRUE
p76015
sbg8
(g9
g10
NtRp76016
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g13
Nsg14
Nsg15
VEurope
p76018
sbg8
(g9
g10
NtRp76019
(dp76020
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76021
sbg8
(g9
g10
NtRp76022
(dp76023
g13
Nsg14
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VFALSE
p76024
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(g9
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NtRp76025
(dp76026
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Nsg14
Nsg15
VEuropean Environment Agency
p76027
sbg8
(g9
g10
NtRp76028
(dp76029
g13
Nsg14
Nsg15
VFALSE
p76030
sbNNNNNNNg8
(g9
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NtRp76031
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Nsg14
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V
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(g9
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Nsg14
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V
sbNNg8
(g9
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NtRp76035
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Veea_r_3035_1_km_eunis-hab-g1-2_1940-2011_rev01
p76037
sbNNtp76038
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g10
NtRp76039
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g13
Nsg14
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Vdf7a575c-97af-41c4-92a1-a4b4104488d8
p76041
sbNg8
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NtRp76042
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VEUNIS habitat type F4-1 distribution based on vegetation plot data - version 1, June 2016
p76044
sbNNNNNg8
(g9
g10
NtRp76045
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g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76047
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g10
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76050
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NtRp76051
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VFALSE
p76053
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VFALSE
p76056
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g10
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VFALSE
p76059
sbNNg8
(g9
g10
NtRp76060
(dp76061
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VFALSE
p76062
sbNg8
(g9
g10
NtRp76063
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_dist_edt1.png
p76065
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NtRp76066
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Nsg14
Nsg15
VEPSG:3035
p76068
sbg8
(g9
g10
NtRp76069
(dp76070
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Nsg14
Nsg15
V2019-06-04
p76071
sbNg8
(g9
g10
NtRp76072
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g13
Nsg14
Nsg15
VHabitats and biotopes
p76074
sbg8
(g9
g10
NtRp76075
(dp76076
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p76077
sbg8
(g9
g10
NtRp76078
(dp76079
g13
Nsg14
Nsg15
Vvector
p76080
sbg8
(g9
g10
NtRp76081
(dp76082
g13
Nsg14
Nsg15
VSHP
p76083
sbNg8
(g9
g10
NtRp76084
(dp76085
g13
Nsg14
Nsg15
V1:10000000
p76086
sbNg8
(g9
g10
NtRp76087
(dp76088
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p76089
sbg8
(g9
g10
NtRp76090
(dp76091
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df7a575c-97af-41c4-92a1-a4b4104488d8
p76092
sbg8
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NtRp76093
(dp76094
g13
Nsg14
g74
sg15
V1940
p76095
sbg8
(g9
g10
NtRp76096
(dp76097
g13
Nsg14
g74
sg15
V2011
p76098
sbg8
(g9
g10
NtRp76099
(dp76100
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Nsg14
Nsg15
VTRUE
p76101
sbg8
(g9
g10
NtRp76102
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g13
Nsg14
Nsg15
VEurope
p76104
sbg8
(g9
g10
NtRp76105
(dp76106
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76107
sbg8
(g9
g10
NtRp76108
(dp76109
g13
Nsg14
Nsg15
VFALSE
p76110
sbg8
(g9
g10
NtRp76111
(dp76112
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76113
sbg8
(g9
g10
NtRp76114
(dp76115
g13
Nsg14
Nsg15
VFALSE
p76116
sbNNNNNNNg8
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g10
NtRp76117
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76119
(dp76120
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76121
(dp76122
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f4-1_1940-2011_rev01
p76123
sbNNtp76124
a(g8
(g9
g10
NtRp76125
(dp76126
g13
Nsg14
Nsg15
V6a01654d-43ff-4c0c-acc0-2bc5063367e0
p76127
sbNg8
(g9
g10
NtRp76128
(dp76129
g13
Nsg14
Nsg15
VEUNIS habitat type F4.2, predicted habitat suitability - version 1, June 2016
p76130
sbNNNNNg8
(g9
g10
NtRp76131
(dp76132
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
p76133
sbg8
(g23
g10
NtRp76134
(dp76135
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76136
sbNg8
(g9
g10
NtRp76137
(dp76138
g13
Nsg14
Nsg15
VFALSE
p76139
sbNNNg8
(g9
g10
NtRp76140
(dp76141
g13
Nsg14
Nsg15
VFALSE
p76142
sbNNg8
(g9
g10
NtRp76143
(dp76144
g13
Nsg14
Nsg15
VFALSE
p76145
sbNNg8
(g9
g10
NtRp76146
(dp76147
g13
Nsg14
Nsg15
VFALSE
p76148
sbNg8
(g9
g10
NtRp76149
(dp76150
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_random_bg_ed1.png
p76151
sbg8
(g9
g10
NtRp76152
(dp76153
g13
Nsg14
Nsg15
VEPSG:3035
p76154
sbg8
(g9
g10
NtRp76155
(dp76156
g13
Nsg14
Nsg15
V2019-06-04
p76157
sbNg8
(g9
g10
NtRp76158
(dp76159
g13
Nsg14
Nsg15
VHabitats and biotopes
p76160
sbg8
(g9
g10
NtRp76161
(dp76162
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p76163
sbg8
(g9
g10
NtRp76164
(dp76165
g13
Nsg14
Nsg15
Vgrid
p76166
sbg8
(g9
g10
NtRp76167
(dp76168
g13
Nsg14
Nsg15
VGTiff
p76169
sbNg8
(g9
g10
NtRp76170
(dp76171
g13
Nsg14
Nsg15
V1000m
p76172
sbNg8
(g9
g10
NtRp76173
(dp76174
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 2835\u000aRegularized training gain: 0.591\u000aUnregularized training gain: 0.627\u000aIterations: 500\u000aTraining AUC: 0.7839\u000a#Test samples: 314\u000aTest gain: 0.6079\u000aTest AUC: 0.7792\u000aAUC Standard Deviation: 0.0091\u000a#Background points: 7833\u000abio_12_etrs2_ras contribution: 3.1502\u000abio_15_etrs2_ras contribution: 1.5042\u000abio_18_etrs2_ras contribution: 0.1225\u000abio_4_etrs2_ras contribution: 72.1137\u000abio_8_etrs2_ras contribution: 0.0238\u000abld_m_sd1_1km_eu_ll contribution: 0.3832\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0446\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.4387\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.432\u000adist2water1km contribution: 0.0888\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.2058\u000apet_he_yr contribution: 9.17\u000aphihox_m_sd1_1km_eu_ll contribution: 11.3945\u000asltppt_m_sd1_1km_eu_ll contribution: 0.2384\u000asndppt_m_sd1_1km_eu_ll contribution: 0.3866\u000asolar_1km contribution: 0.303\u000abio_12_etrs2_ras permutation importance: 0.117\u000abio_15_etrs2_ras permutation importance: 2.2851\u000abio_18_etrs2_ras permutation importance: 0.4573\u000abio_4_etrs2_ras permutation importance: 71.4457\u000abio_8_etrs2_ras permutation importance: 0.1852\u000abld_m_sd1_1km_eu_ll permutation importance: 0.9947\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.3459\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 2.6969\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 3.1712\u000adist2water1km permutation importance: 0.3246\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.8905\u000apet_he_yr permutation importance: 9.1033\u000aphihox_m_sd1_1km_eu_ll permutation importance: 5.9395\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.5438\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.8147\u000asolar_1km permutation importance: 0.6845\u000aEntropy: 8.3765\u000aPrevalence (average of logistic output over background sites): 0.2728\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.052\u000aFixed cumulative value 1 area: 0.6314\u000aFixed cumulative value 1 training omission: 0.0056\u000aFixed cumulative value 1 test omission: 0.0064\u000aFixed cumulative value 1 binomial probability: 1.09E-40\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2581\u000aFixed cumulative value 5 area: 0.5084\u000aFixed cumulative value 5 training omission: 0.0325\u000aFixed cumulative value 5 test omission: 0.0446\u000aFixed cumulative value 5 binomial probability: 7.52E-57\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3458\u000aFixed cumulative value 10 area: 0.4449\u000aFixed cumulative value 10 training omission: 0.0832\u000aFixed cumulative value 10 test omission: 0.0924\u000aFixed cumulative value 10 binomial probability: 1.85E-61\u000aMinimum training presence cumulative threshold: 0.0102\u000aMinimum training presence logistic threshold: 0.0022\u000aMinimum training presence area: 0.9515\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.15E-05\u000a10 percentile training presence cumulative threshold: 11.8784\u000a10 percentile training presence logistic threshold: 0.3692\u000a10 percentile training presence area: 0.4261\u000a10 percentile training presence training omission: 0.0998\u000a10 percentile training presence test omission: 0.1019\u000a10 percentile training presence binomial probability: 1.86E-64\u000aEqual training sensitivity and specificity cumulative threshold: 30.6404\u000aEqual training sensitivity and specificity logistic threshold: 0.4914\u000aEqual training sensitivity and specificity area: 0.293\u000aEqual training sensitivity and specificity training omission: 0.2928\u000aEqual training sensitivity and specificity test omission: 0.3217\u000aEqual training sensitivity and specificity binomial probability: 3.50E-51\u000aMaximum training sensitivity plus specificity cumulative threshold: 13.9208\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3895\u000aMaximum training sensitivity plus specificity area: 0.4076\u000aMaximum training sensitivity plus specificity training omission: 0.1175\u000aMaximum training sensitivity plus specificity test omission: 0.1146\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 28.9913\u000aEqual test sensitivity and specificity logistic threshold: 0.4849\u000aEqual test sensitivity and specificity area: 0.3026\u000aEqual test sensitivity and specificity training omission: 0.2751\u000aEqual test sensitivity and specificity test omission: 0.3025\u000aEqual test sensitivity and specificity binomial probability: 1.07E-52\u000aMaximum test sensitivity plus specificity cumulative threshold: 15.2009\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4009\u000aMaximum test sensitivity plus specificity area: 0.3968\u000aMaximum test sensitivity plus specificity training omission: 0.1309\u000aMaximum test sensitivity plus specificity test omission: 0.1146\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.4311\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0865\u000aBalance training omission, predicted area and threshold value area: 0.5981\u000aBalance training omission, predicted area and threshold value training omission: 0.0074\u000aBalance training omission, predicted area and threshold value test omission: 0.0127\u000aBalance training omission, predicted area and threshold value binomial probability: 3.12E-45\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.6363\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1806\u000aEquate entropy of thresholded and original distributions area: 0.5544\u000aEquate entropy of thresholded and original distributions training omission: 0.0138\u000aEquate entropy of thresholded and original distributions test omission: 0.0159\u000aEquate entropy of thresholded and original distributions binomial probability: 2.94E-53
p76175
sbg8
(g9
g10
NtRp76176
(dp76177
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6a01654d-43ff-4c0c-acc0-2bc5063367e0
p76178
sbg8
(g9
g10
NtRp76179
(dp76180
g13
Nsg14
g74
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V1940
p76181
sbg8
(g9
g10
NtRp76182
(dp76183
g13
Nsg14
g74
sg15
V2011
p76184
sbg8
(g9
g10
NtRp76185
(dp76186
g13
Nsg14
Nsg15
VTRUE
p76187
sbg8
(g9
g10
NtRp76188
(dp76189
g13
Nsg14
Nsg15
VEurope
p76190
sbg8
(g9
g10
NtRp76191
(dp76192
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76193
sbg8
(g9
g10
NtRp76194
(dp76195
g13
Nsg14
Nsg15
VFALSE
p76196
sbg8
(g9
g10
NtRp76197
(dp76198
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76199
sbg8
(g9
g10
NtRp76200
(dp76201
g13
Nsg14
Nsg15
VFALSE
p76202
sbNNNNNNNg8
(g9
g10
NtRp76203
(dp76204
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76205
(dp76206
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76207
(dp76208
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f4-2_1940-2011_rev01
p76209
sbNNtp76210
a(g8
(g9
g10
NtRp76211
(dp76212
g13
Nsg14
Nsg15
Vc6cfaf0c-b6c3-4070-aee6-258ba51b3a41
p76213
sbNg8
(g9
g10
NtRp76214
(dp76215
g13
Nsg14
Nsg15
VEUNIS habitat type F9-3 distribution based on vegetation plot data - version 1, June 2016
p76216
sbNNNNNg8
(g9
g10
NtRp76217
(dp76218
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76219
sbg8
(g23
g10
NtRp76220
(dp76221
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76222
sbNg8
(g9
g10
NtRp76223
(dp76224
g13
Nsg14
Nsg15
VFALSE
p76225
sbNNNg8
(g9
g10
NtRp76226
(dp76227
g13
Nsg14
Nsg15
VFALSE
p76228
sbNNg8
(g9
g10
NtRp76229
(dp76230
g13
Nsg14
Nsg15
VFALSE
p76231
sbNNg8
(g9
g10
NtRp76232
(dp76233
g13
Nsg14
Nsg15
VFALSE
p76234
sbNg8
(g9
g10
NtRp76235
(dp76236
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_dist_edt1.png
p76237
sbg8
(g9
g10
NtRp76238
(dp76239
g13
Nsg14
Nsg15
VEPSG:3035
p76240
sbg8
(g9
g10
NtRp76241
(dp76242
g13
Nsg14
Nsg15
V2019-06-04
p76243
sbNg8
(g9
g10
NtRp76244
(dp76245
g13
Nsg14
Nsg15
VHabitats and biotopes
p76246
sbg8
(g9
g10
NtRp76247
(dp76248
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p76249
sbg8
(g9
g10
NtRp76250
(dp76251
g13
Nsg14
Nsg15
Vvector
p76252
sbg8
(g9
g10
NtRp76253
(dp76254
g13
Nsg14
Nsg15
VSHP
p76255
sbNg8
(g9
g10
NtRp76256
(dp76257
g13
Nsg14
Nsg15
V1:10000000
p76258
sbNg8
(g9
g10
NtRp76259
(dp76260
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p76261
sbg8
(g9
g10
NtRp76262
(dp76263
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6cfaf0c-b6c3-4070-aee6-258ba51b3a41
p76264
sbg8
(g9
g10
NtRp76265
(dp76266
g13
Nsg14
g74
sg15
V1940
p76267
sbg8
(g9
g10
NtRp76268
(dp76269
g13
Nsg14
g74
sg15
V2011
p76270
sbg8
(g9
g10
NtRp76271
(dp76272
g13
Nsg14
Nsg15
VTRUE
p76273
sbg8
(g9
g10
NtRp76274
(dp76275
g13
Nsg14
Nsg15
VEurope
p76276
sbg8
(g9
g10
NtRp76277
(dp76278
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76279
sbg8
(g9
g10
NtRp76280
(dp76281
g13
Nsg14
Nsg15
VFALSE
p76282
sbg8
(g9
g10
NtRp76283
(dp76284
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76285
sbg8
(g9
g10
NtRp76286
(dp76287
g13
Nsg14
Nsg15
VFALSE
p76288
sbNNNNNNNg8
(g9
g10
NtRp76289
(dp76290
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76291
(dp76292
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76293
(dp76294
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f9-3_1940-2011_rev01
p76295
sbNNtp76296
a(g8
(g9
g10
NtRp76297
(dp76298
g13
Nsg14
Nsg15
V6c2ff059-3e88-4d8d-b8f7-db55dada2b9c
p76299
sbNg8
(g9
g10
NtRp76300
(dp76301
g13
Nsg14
Nsg15
VEUNIS habitat type F4-2 distribution based on vegetation plot data - version 1, June 2016
p76302
sbNNNNNg8
(g9
g10
NtRp76303
(dp76304
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76305
sbg8
(g23
g10
NtRp76306
(dp76307
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76308
sbNg8
(g9
g10
NtRp76309
(dp76310
g13
Nsg14
Nsg15
VFALSE
p76311
sbNNNg8
(g9
g10
NtRp76312
(dp76313
g13
Nsg14
Nsg15
VFALSE
p76314
sbNNg8
(g9
g10
NtRp76315
(dp76316
g13
Nsg14
Nsg15
VFALSE
p76317
sbNNg8
(g9
g10
NtRp76318
(dp76319
g13
Nsg14
Nsg15
VFALSE
p76320
sbNg8
(g9
g10
NtRp76321
(dp76322
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_dist_edt1.png
p76323
sbg8
(g9
g10
NtRp76324
(dp76325
g13
Nsg14
Nsg15
VEPSG:3035
p76326
sbg8
(g9
g10
NtRp76327
(dp76328
g13
Nsg14
Nsg15
V2019-06-04
p76329
sbNg8
(g9
g10
NtRp76330
(dp76331
g13
Nsg14
Nsg15
VHabitats and biotopes
p76332
sbg8
(g9
g10
NtRp76333
(dp76334
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p76335
sbg8
(g9
g10
NtRp76336
(dp76337
g13
Nsg14
Nsg15
Vvector
p76338
sbg8
(g9
g10
NtRp76339
(dp76340
g13
Nsg14
Nsg15
VSHP
p76341
sbNg8
(g9
g10
NtRp76342
(dp76343
g13
Nsg14
Nsg15
V1:10000000
p76344
sbNg8
(g9
g10
NtRp76345
(dp76346
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p76347
sbg8
(g9
g10
NtRp76348
(dp76349
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c2ff059-3e88-4d8d-b8f7-db55dada2b9c
p76350
sbg8
(g9
g10
NtRp76351
(dp76352
g13
Nsg14
g74
sg15
V1940
p76353
sbg8
(g9
g10
NtRp76354
(dp76355
g13
Nsg14
g74
sg15
V2011
p76356
sbg8
(g9
g10
NtRp76357
(dp76358
g13
Nsg14
Nsg15
VTRUE
p76359
sbg8
(g9
g10
NtRp76360
(dp76361
g13
Nsg14
Nsg15
VEurope
p76362
sbg8
(g9
g10
NtRp76363
(dp76364
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76365
sbg8
(g9
g10
NtRp76366
(dp76367
g13
Nsg14
Nsg15
VFALSE
p76368
sbg8
(g9
g10
NtRp76369
(dp76370
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76371
sbg8
(g9
g10
NtRp76372
(dp76373
g13
Nsg14
Nsg15
VFALSE
p76374
sbNNNNNNNg8
(g9
g10
NtRp76375
(dp76376
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76377
(dp76378
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76379
(dp76380
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f4-2_1940-2011_rev01
p76381
sbNNtp76382
a(g8
(g9
g10
NtRp76383
(dp76384
g13
Nsg14
Nsg15
V010b7d32-9779-4336-b3f4-18181bebbd51
p76385
sbNg8
(g9
g10
NtRp76386
(dp76387
g13
Nsg14
Nsg15
VEUNIS habitat type G1.3 distribution based on vegetation plot data - version 1, Jan. 2015
p76388
sbNNNNNg8
(g9
g10
NtRp76389
(dp76390
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76391
sbg8
(g23
g10
NtRp76392
(dp76393
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76394
sbNg8
(g9
g10
NtRp76395
(dp76396
g13
Nsg14
Nsg15
VFALSE
p76397
sbNNNg8
(g9
g10
NtRp76398
(dp76399
g13
Nsg14
Nsg15
VFALSE
p76400
sbNNg8
(g9
g10
NtRp76401
(dp76402
g13
Nsg14
Nsg15
VFALSE
p76403
sbNNg8
(g9
g10
NtRp76404
(dp76405
g13
Nsg14
Nsg15
VFALSE
p76406
sbNg8
(g9
g10
NtRp76407
(dp76408
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_dist_edt1.png
p76409
sbg8
(g9
g10
NtRp76410
(dp76411
g13
Nsg14
Nsg15
VEPSG:3035
p76412
sbg8
(g9
g10
NtRp76413
(dp76414
g13
Nsg14
Nsg15
V2019-06-04
p76415
sbNg8
(g9
g10
NtRp76416
(dp76417
g13
Nsg14
Nsg15
VHabitats and biotopes
p76418
sbg8
(g9
g10
NtRp76419
(dp76420
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p76421
sbg8
(g9
g10
NtRp76422
(dp76423
g13
Nsg14
Nsg15
Vvector
p76424
sbg8
(g9
g10
NtRp76425
(dp76426
g13
Nsg14
Nsg15
VSHP
p76427
sbNg8
(g9
g10
NtRp76428
(dp76429
g13
Nsg14
Nsg15
V1:10000000
p76430
sbNg8
(g9
g10
NtRp76431
(dp76432
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p76433
sbg8
(g9
g10
NtRp76434
(dp76435
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/010b7d32-9779-4336-b3f4-18181bebbd51
p76436
sbg8
(g9
g10
NtRp76437
(dp76438
g13
Nsg14
g74
sg15
V1940
p76439
sbg8
(g9
g10
NtRp76440
(dp76441
g13
Nsg14
g74
sg15
V2011
p76442
sbg8
(g9
g10
NtRp76443
(dp76444
g13
Nsg14
Nsg15
VTRUE
p76445
sbg8
(g9
g10
NtRp76446
(dp76447
g13
Nsg14
Nsg15
VEurope
p76448
sbg8
(g9
g10
NtRp76449
(dp76450
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76451
sbg8
(g9
g10
NtRp76452
(dp76453
g13
Nsg14
Nsg15
VFALSE
p76454
sbg8
(g9
g10
NtRp76455
(dp76456
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76457
sbg8
(g9
g10
NtRp76458
(dp76459
g13
Nsg14
Nsg15
VFALSE
p76460
sbNNNNNNNg8
(g9
g10
NtRp76461
(dp76462
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76463
(dp76464
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76465
(dp76466
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-3_1940-2011_rev01
p76467
sbNNtp76468
a(g8
(g9
g10
NtRp76469
(dp76470
g13
Nsg14
Nsg15
V13780f38-1177-4e68-b900-1baef89272a0
p76471
sbNg8
(g9
g10
NtRp76472
(dp76473
g13
Nsg14
Nsg15
VUrban Morphological Zones Changes 2000-2006 (vector) - version 16, Jun. 2013
p76474
sbNNNNNg8
(g9
g10
NtRp76475
(dp76476
g13
Nsg14
Nsg15
VChanges between UMZs in 2000 and UMZs in 2006 using CLC version 16.\u000aMost changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).
p76477
sbg8
(g23
g10
NtRp76478
(dp76479
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes
p76480
sbNg8
(g9
g10
NtRp76481
(dp76482
g13
Nsg14
Nsg15
VFALSE
p76483
sbNNNg8
(g9
g10
NtRp76484
(dp76485
g13
Nsg14
Nsg15
VFALSE
p76486
sbNNg8
(g9
g10
NtRp76487
(dp76488
g13
Nsg14
Nsg15
VFALSE
p76489
sbNNg8
(g9
g10
NtRp76490
(dp76491
g13
Nsg14
Nsg15
VFALSE
p76492
sbNg8
(g9
g10
NtRp76493
(dp76494
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/13780f38-1177-4e68-b900-1baef89272a0.png
p76495
sbg8
(g9
g10
NtRp76496
(dp76497
g13
Nsg14
Nsg15
VEPSG:3035
p76498
sbg8
(g9
g10
NtRp76499
(dp76500
g13
Nsg14
Nsg15
V2019-06-05
p76501
sbNg8
(g9
g10
NtRp76502
(dp76503
g13
Nsg14
Nsg15
VLand cover
p76504
sbg8
(g9
g10
NtRp76505
(dp76506
g13
Nsg14
Nsg15
Vpopulation|social aspects|urban environment|urban stress
p76507
sbg8
(g9
g10
NtRp76508
(dp76509
g13
Nsg14
Nsg15
Vvector
p76510
sbg8
(g9
g10
NtRp76511
(dp76512
g13
Nsg14
Nsg15
VSHP|SQLite
p76513
sbNg8
(g9
g10
NtRp76514
(dp76515
g13
Nsg14
Nsg15
V1:100000
p76516
sbNg8
(g9
g10
NtRp76517
(dp76518
g13
Nsg14
Nsg15
VThe methodology described below for changes between 1990 and 2000 applies by analogy to changes between 2000 and 2006.\u000a\u000aUMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ\u000aSteps to follow:\u000a1. Create a file geodatabase to keep the geometries\u000a2. Union UMZ 1990 \u2013 2000. Output:UMZ90_00_Full\u000a3. Select ( "FID_UMZ1990" = -1 OR "FID_UMZ2000" = -1)\u000a4. Export the selection. Output:UMZ90_00_FULL_select.shp\u000a5. Selection of the real changes. Erasing\u000a   a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible)\uf0e0 selected_countries.shp\u000a   b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp \uf0e0 Output: Changes_90_00.shp\u000a   c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas\u000a6. Add and Calculate the Field \u201cArea_ha\u201d\u000a7. Add a new field name \u201cChange\u201d type = Text with length = 1 to Change_90_00.shp\u000a8. Delete unnecessary fields\u000a9. Select \u201cUMZ90_ID\u201d = 0 and Calculate Value for \u201cChange\u201d = + . This means Urban Sprawl\u000a10.Select \u201cUMZ00_ID\u201d = - 1 and Calculate Value for \u201cChange\u201d = - . This means Reduction of Urban Areas\u000a11.Select \u201cUMZ00_ID\u201d <> - 1 and \u201cUMZ90_ID\u201d <> 0 and Calculate Value for \u201cChange\u201d = 0. This means no changes of Urban Areas\u000a\u000aThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.
p76519
sbg8
(g9
g10
NtRp76520
(dp76521
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13780f38-1177-4e68-b900-1baef89272a0
p76522
sbg8
(g9
g10
NtRp76523
(dp76524
g13
Nsg14
g74
sg15
V2000
p76525
sbg8
(g9
g10
NtRp76526
(dp76527
g13
Nsg14
g74
sg15
V2006
p76528
sbg8
(g9
g10
NtRp76529
(dp76530
g13
Nsg14
Nsg15
VTRUE
p76531
sbg8
(g9
g10
NtRp76532
(dp76533
g13
Nsg14
Nsg15
VAlbania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom
p76534
sbg8
(g9
g10
NtRp76535
(dp76536
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p76537
sbg8
(g9
g10
NtRp76538
(dp76539
g13
Nsg14
Nsg15
VFALSE
p76540
sbg8
(g9
g10
NtRp76541
(dp76542
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76543
sbg8
(g9
g10
NtRp76544
(dp76545
g13
Nsg14
Nsg15
VFALSE
p76546
sbNNNNNNNg8
(g9
g10
NtRp76547
(dp76548
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76549
(dp76550
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76551
(dp76552
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_2000-2006_rev16
p76553
sbNNtp76554
a(g8
(g9
g10
NtRp76555
(dp76556
g13
Nsg14
Nsg15
V96750fc4-7ecc-438e-a8ce-bf045e5780ea
p76557
sbNg8
(g9
g10
NtRp76558
(dp76559
g13
Nsg14
Nsg15
VUrban Morphological Zones 1990 (vector) - version 16, Jun. 2013
p76560
sbNNNNNg8
(g9
g10
NtRp76561
(dp76562
g13
Nsg14
Nsg15
VAn urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.
p76563
sbg8
(g23
g10
NtRp76564
(dp76565
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-1990-2
p76566
sbNg8
(g9
g10
NtRp76567
(dp76568
g13
Nsg14
Nsg15
VFALSE
p76569
sbNNNg8
(g9
g10
NtRp76570
(dp76571
g13
Nsg14
Nsg15
VFALSE
p76572
sbNNg8
(g9
g10
NtRp76573
(dp76574
g13
Nsg14
Nsg15
VFALSE
p76575
sbNNg8
(g9
g10
NtRp76576
(dp76577
g13
Nsg14
Nsg15
VFALSE
p76578
sbNg8
(g9
g10
NtRp76579
(dp76580
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/96750fc4-7ecc-438e-a8ce-bf045e5780ea.png
p76581
sbg8
(g9
g10
NtRp76582
(dp76583
g13
Nsg14
Nsg15
VEPSG:3035
p76584
sbg8
(g9
g10
NtRp76585
(dp76586
g13
Nsg14
Nsg15
V2019-06-05
p76587
sbNg8
(g9
g10
NtRp76588
(dp76589
g13
Nsg14
Nsg15
VLand cover
p76590
sbg8
(g9
g10
NtRp76591
(dp76592
g13
Nsg14
Nsg15
Vpopulation|social aspects|urban environment|urban stress
p76593
sbg8
(g9
g10
NtRp76594
(dp76595
g13
Nsg14
Nsg15
Vvector
p76596
sbg8
(g9
g10
NtRp76597
(dp76598
g13
Nsg14
Nsg15
VSHP|SQLite
p76599
sbNg8
(g9
g10
NtRp76600
(dp76601
g13
Nsg14
Nsg15
V1:100000
p76602
sbNg8
(g9
g10
NtRp76603
(dp76604
g13
Nsg14
Nsg15
VAn Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\u000a200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\u000aThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\u000a\u2022 Core Classes\u000ao 111 \u2013 Continuous urban fabric\u000ao 112 \u2013 Discontinuous urban fabric\u000ao 121 \u2013 Industrial or commercial units\u000ao 141 \u2013 Green urban areas\u000a\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\u000a\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\u000a\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\u000a\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\u000a\u000aThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.
p76605
sbg8
(g9
g10
NtRp76606
(dp76607
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/96750fc4-7ecc-438e-a8ce-bf045e5780ea
p76608
sbg8
(g9
g10
NtRp76609
(dp76610
g13
Nsg14
g74
sg15
V1990
p76611
sbg8
(g9
g10
NtRp76612
(dp76613
g13
Nsg14
g74
sg15
V1990
p76614
sbg8
(g9
g10
NtRp76615
(dp76616
g13
Nsg14
Nsg15
VFALSE
p76617
sbg8
(g9
g10
NtRp76618
(dp76619
g13
Nsg14
Nsg15
VAustria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
p76620
sbg8
(g9
g10
NtRp76621
(dp76622
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p76623
sbg8
(g9
g10
NtRp76624
(dp76625
g13
Nsg14
Nsg15
VFALSE
p76626
sbg8
(g9
g10
NtRp76627
(dp76628
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76629
sbg8
(g9
g10
NtRp76630
(dp76631
g13
Nsg14
Nsg15
VFALSE
p76632
sbNNNNNNNg8
(g9
g10
NtRp76633
(dp76634
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76635
(dp76636
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76637
(dp76638
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_1990_rev16
p76639
sbNNtp76640
a(g8
(g9
g10
NtRp76641
(dp76642
g13
Nsg14
Nsg15
V8ab00854-d08f-43b1-b78f-447ce13857d1
p76643
sbNg8
(g9
g10
NtRp76644
(dp76645
g13
Nsg14
Nsg15
VUrban Morphological Zones 2006 (vector) - version 16, Jun. 2013
p76646
sbNNNNNg8
(g9
g10
NtRp76647
(dp76648
g13
Nsg14
Nsg15
VAn urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.
p76649
sbg8
(g23
g10
NtRp76650
(dp76651
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2006-1
p76652
sbNg8
(g9
g10
NtRp76653
(dp76654
g13
Nsg14
Nsg15
VFALSE
p76655
sbNNNg8
(g9
g10
NtRp76656
(dp76657
g13
Nsg14
Nsg15
VFALSE
p76658
sbNNg8
(g9
g10
NtRp76659
(dp76660
g13
Nsg14
Nsg15
VFALSE
p76661
sbNNg8
(g9
g10
NtRp76662
(dp76663
g13
Nsg14
Nsg15
VFALSE
p76664
sbNg8
(g9
g10
NtRp76665
(dp76666
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ab00854-d08f-43b1-b78f-447ce13857d1.png
p76667
sbg8
(g9
g10
NtRp76668
(dp76669
g13
Nsg14
Nsg15
VEPSG:3035
p76670
sbg8
(g9
g10
NtRp76671
(dp76672
g13
Nsg14
Nsg15
V2019-06-05
p76673
sbNg8
(g9
g10
NtRp76674
(dp76675
g13
Nsg14
Nsg15
VLand cover
p76676
sbg8
(g9
g10
NtRp76677
(dp76678
g13
Nsg14
Nsg15
Vpopulation|social aspects|urban environment|urban stress
p76679
sbg8
(g9
g10
NtRp76680
(dp76681
g13
Nsg14
Nsg15
Vvector
p76682
sbg8
(g9
g10
NtRp76683
(dp76684
g13
Nsg14
Nsg15
VSHP|SQLite
p76685
sbNg8
(g9
g10
NtRp76686
(dp76687
g13
Nsg14
Nsg15
V1:100000
p76688
sbNg8
(g9
g10
NtRp76689
(dp76690
g13
Nsg14
Nsg15
VAn Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\u000a200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\u000aThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\u000a\u2022 Core Classes\u000ao 111 \u2013 Continuous urban fabric\u000ao 112 \u2013 Discontinuous urban fabric\u000ao 121 \u2013 Industrial or commercial units\u000ao 141 \u2013 Green urban areas\u000a\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\u000a\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\u000a\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\u000a\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\u000a\u000aThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.
p76691
sbg8
(g9
g10
NtRp76692
(dp76693
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ab00854-d08f-43b1-b78f-447ce13857d1
p76694
sbg8
(g9
g10
NtRp76695
(dp76696
g13
Nsg14
g74
sg15
V2006
p76697
sbg8
(g9
g10
NtRp76698
(dp76699
g13
Nsg14
g74
sg15
V2006
p76700
sbg8
(g9
g10
NtRp76701
(dp76702
g13
Nsg14
Nsg15
VFALSE
p76703
sbg8
(g9
g10
NtRp76704
(dp76705
g13
Nsg14
Nsg15
VAlbania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom
p76706
sbg8
(g9
g10
NtRp76707
(dp76708
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).
p76709
sbg8
(g9
g10
NtRp76710
(dp76711
g13
Nsg14
Nsg15
VFALSE
p76712
sbg8
(g9
g10
NtRp76713
(dp76714
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76715
sbg8
(g9
g10
NtRp76716
(dp76717
g13
Nsg14
Nsg15
VFALSE
p76718
sbNNNNNNNg8
(g9
g10
NtRp76719
(dp76720
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76721
(dp76722
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76723
(dp76724
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_2006_rev16
p76725
sbNNtp76726
a(g8
(g9
g10
NtRp76727
(dp76728
g13
Nsg14
Nsg15
Vc63f9414-934b-43b3-84d8-f800496469b2
p76729
sbNg8
(g9
g10
NtRp76730
(dp76731
g13
Nsg14
Nsg15
VEUNIS habitat type F5-3 distribution based on vegetation plot data - version 1, June 2016
p76732
sbNNNNNg8
(g9
g10
NtRp76733
(dp76734
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76735
sbg8
(g23
g10
NtRp76736
(dp76737
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76738
sbNg8
(g9
g10
NtRp76739
(dp76740
g13
Nsg14
Nsg15
VFALSE
p76741
sbNNNg8
(g9
g10
NtRp76742
(dp76743
g13
Nsg14
Nsg15
VFALSE
p76744
sbNNg8
(g9
g10
NtRp76745
(dp76746
g13
Nsg14
Nsg15
VFALSE
p76747
sbNNg8
(g9
g10
NtRp76748
(dp76749
g13
Nsg14
Nsg15
VFALSE
p76750
sbNg8
(g9
g10
NtRp76751
(dp76752
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-3_dist_edt1.png
p76753
sbg8
(g9
g10
NtRp76754
(dp76755
g13
Nsg14
Nsg15
VEPSG:3035
p76756
sbg8
(g9
g10
NtRp76757
(dp76758
g13
Nsg14
Nsg15
V2019-06-04
p76759
sbNg8
(g9
g10
NtRp76760
(dp76761
g13
Nsg14
Nsg15
VHabitats and biotopes
p76762
sbg8
(g9
g10
NtRp76763
(dp76764
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p76765
sbg8
(g9
g10
NtRp76766
(dp76767
g13
Nsg14
Nsg15
Vvector
p76768
sbg8
(g9
g10
NtRp76769
(dp76770
g13
Nsg14
Nsg15
VSHP
p76771
sbNg8
(g9
g10
NtRp76772
(dp76773
g13
Nsg14
Nsg15
V1:10000000
p76774
sbNg8
(g9
g10
NtRp76775
(dp76776
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p76777
sbg8
(g9
g10
NtRp76778
(dp76779
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c63f9414-934b-43b3-84d8-f800496469b2
p76780
sbg8
(g9
g10
NtRp76781
(dp76782
g13
Nsg14
g74
sg15
V1940
p76783
sbg8
(g9
g10
NtRp76784
(dp76785
g13
Nsg14
g74
sg15
V2011
p76786
sbg8
(g9
g10
NtRp76787
(dp76788
g13
Nsg14
Nsg15
VTRUE
p76789
sbg8
(g9
g10
NtRp76790
(dp76791
g13
Nsg14
Nsg15
VEurope
p76792
sbg8
(g9
g10
NtRp76793
(dp76794
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76795
sbg8
(g9
g10
NtRp76796
(dp76797
g13
Nsg14
Nsg15
VFALSE
p76798
sbg8
(g9
g10
NtRp76799
(dp76800
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76801
sbg8
(g9
g10
NtRp76802
(dp76803
g13
Nsg14
Nsg15
VFALSE
p76804
sbNNNNNNNg8
(g9
g10
NtRp76805
(dp76806
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76807
(dp76808
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76809
(dp76810
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f5-3_1940-2011_rev01
p76811
sbNNtp76812
a(g8
(g9
g10
NtRp76813
(dp76814
g13
Nsg14
Nsg15
Vd88f79f9-3de7-45fd-b06d-5378697cb271
p76815
sbNg8
(g9
g10
NtRp76816
(dp76817
g13
Nsg14
Nsg15
VEUNIS habitat type G3.A distribution based on vegetation plot data - version 1, Jan. 2015
p76818
sbNNNNNg8
(g9
g10
NtRp76819
(dp76820
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p76821
sbg8
(g23
g10
NtRp76822
(dp76823
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76824
sbNg8
(g9
g10
NtRp76825
(dp76826
g13
Nsg14
Nsg15
VFALSE
p76827
sbNNNg8
(g9
g10
NtRp76828
(dp76829
g13
Nsg14
Nsg15
VFALSE
p76830
sbNNg8
(g9
g10
NtRp76831
(dp76832
g13
Nsg14
Nsg15
VFALSE
p76833
sbNNg8
(g9
g10
NtRp76834
(dp76835
g13
Nsg14
Nsg15
VFALSE
p76836
sbNg8
(g9
g10
NtRp76837
(dp76838
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-A_dist_edt1.png
p76839
sbg8
(g9
g10
NtRp76840
(dp76841
g13
Nsg14
Nsg15
VEPSG:3035
p76842
sbg8
(g9
g10
NtRp76843
(dp76844
g13
Nsg14
Nsg15
V2019-06-04
p76845
sbNg8
(g9
g10
NtRp76846
(dp76847
g13
Nsg14
Nsg15
VHabitats and biotopes
p76848
sbg8
(g9
g10
NtRp76849
(dp76850
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p76851
sbg8
(g9
g10
NtRp76852
(dp76853
g13
Nsg14
Nsg15
Vvector
p76854
sbg8
(g9
g10
NtRp76855
(dp76856
g13
Nsg14
Nsg15
VSHP
p76857
sbNg8
(g9
g10
NtRp76858
(dp76859
g13
Nsg14
Nsg15
V1:10000000
p76860
sbNg8
(g9
g10
NtRp76861
(dp76862
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p76863
sbg8
(g9
g10
NtRp76864
(dp76865
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d88f79f9-3de7-45fd-b06d-5378697cb271
p76866
sbg8
(g9
g10
NtRp76867
(dp76868
g13
Nsg14
g74
sg15
V1940
p76869
sbg8
(g9
g10
NtRp76870
(dp76871
g13
Nsg14
g74
sg15
V2011
p76872
sbg8
(g9
g10
NtRp76873
(dp76874
g13
Nsg14
Nsg15
VTRUE
p76875
sbg8
(g9
g10
NtRp76876
(dp76877
g13
Nsg14
Nsg15
VEurope
p76878
sbg8
(g9
g10
NtRp76879
(dp76880
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p76881
sbg8
(g9
g10
NtRp76882
(dp76883
g13
Nsg14
Nsg15
VFALSE
p76884
sbg8
(g9
g10
NtRp76885
(dp76886
g13
Nsg14
Nsg15
VEuropean Environment Agency
p76887
sbg8
(g9
g10
NtRp76888
(dp76889
g13
Nsg14
Nsg15
VFALSE
p76890
sbNNNNNNNg8
(g9
g10
NtRp76891
(dp76892
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp76893
(dp76894
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp76895
(dp76896
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-a_1940-2011_rev01
p76897
sbNNtp76898
a(g8
(g9
g10
NtRp76899
(dp76900
g13
Nsg14
Nsg15
Vf752152f-2793-4b55-b34f-e4810ae45eff
p76901
sbNg8
(g9
g10
NtRp76902
(dp76903
g13
Nsg14
Nsg15
VEUNIS habitat type G3.4a, predicted distribution of habitat suitability - version 1, Jan. 2015
p76904
sbNNNNNg8
(g9
g10
NtRp76905
(dp76906
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p76907
sbg8
(g23
g10
NtRp76908
(dp76909
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p76910
sbNg8
(g9
g10
NtRp76911
(dp76912
g13
Nsg14
Nsg15
VFALSE
p76913
sbNNNg8
(g9
g10
NtRp76914
(dp76915
g13
Nsg14
Nsg15
VFALSE
p76916
sbNNg8
(g9
g10
NtRp76917
(dp76918
g13
Nsg14
Nsg15
VFALSE
p76919
sbNNg8
(g9
g10
NtRp76920
(dp76921
g13
Nsg14
Nsg15
VFALSE
p76922
sbNg8
(g9
g10
NtRp76923
(dp76924
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_forest_bg_ed1.png
p76925
sbg8
(g9
g10
NtRp76926
(dp76927
g13
Nsg14
Nsg15
VEPSG:3035
p76928
sbg8
(g9
g10
NtRp76929
(dp76930
g13
Nsg14
Nsg15
V2019-06-04
p76931
sbNg8
(g9
g10
NtRp76932
(dp76933
g13
Nsg14
Nsg15
VHabitats and biotopes
p76934
sbg8
(g9
g10
NtRp76935
(dp76936
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p76937
sbg8
(g9
g10
NtRp76938
(dp76939
g13
Nsg14
Nsg15
Vgrid
p76940
sbg8
(g9
g10
NtRp76941
(dp76942
g13
Nsg14
Nsg15
VAAIGrid
p76943
sbNg8
(g9
g10
NtRp76944
(dp76945
g13
Nsg14
Nsg15
V1000m
p76946
sbNg8
(g9
g10
NtRp76947
(dp76948
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1709\u000aRegularized training gain: 0.5583\u000aUnregularized training gain: 0.6435\u000aIterations: 500\u000aTraining AUC: 0.8068\u000a#Test samples: 189\u000aTest gain: 0.5895\u000aTest AUC: 0.7929\u000aAUC Standard Deviation: 0.0152\u000a#Background points: 11357\u000abio_12_etrs2_ras contribution: 21.6615\u000abio_15_etrs2_ras contribution: 1.8676\u000abio_18_etrs2_ras contribution: 13.583\u000abio_4_etrs2_ras contribution: 4.9024\u000abio_8_etrs2_ras contribution: 15.5528\u000adist2water1km contribution: 0.11\u000apet_he_yr contribution: 23.9712\u000asoil_ph contribution: 16.9529\u000asolar_1km contribution: 1.3987\u000abio_12_etrs2_ras permutation importance: 20.3085\u000abio_15_etrs2_ras permutation importance: 6.2033\u000abio_18_etrs2_ras permutation importance: 17.9911\u000abio_4_etrs2_ras permutation importance: 12.4366\u000abio_8_etrs2_ras permutation importance: 4.3078\u000adist2water1km permutation importance: 0.2731\u000apet_he_yr permutation importance: 28.2613\u000asoil_ph permutation importance: 8.931\u000asolar_1km permutation importance: 1.2874\u000aTraining gain without bio_12_etrs2_ras: 0.5443\u000aTraining gain without bio_15_etrs2_ras: 0.5465\u000aTraining gain without bio_18_etrs2_ras: 0.5433\u000aTraining gain without bio_4_etrs2_ras: 0.5302\u000aTraining gain without bio_8_etrs2_ras: 0.55\u000aTraining gain without dist2water1km: 0.5575\u000aTraining gain without pet_he_yr: 0.5181\u000aTraining gain without soil_ph: 0.5167\u000aTraining gain without solar_1km: 0.5532\u000aTraining gain with only bio_12_etrs2_ras: 0.1791\u000aTraining gain with only bio_15_etrs2_ras: 0.0633\u000aTraining gain with only bio_18_etrs2_ras: 0.2369\u000aTraining gain with only bio_4_etrs2_ras: 0.107\u000aTraining gain with only bio_8_etrs2_ras: 0.2118\u000aTraining gain with only dist2water1km: 0.0115\u000aTraining gain with only pet_he_yr: 0.2405\u000aTraining gain with only soil_ph: 0.1483\u000aTraining gain with only solar_1km: 0.1471\u000aTest gain without bio_12_etrs2_ras: 0.5748\u000aTest gain without bio_15_etrs2_ras: 0.5583\u000aTest gain without bio_18_etrs2_ras: 0.5767\u000aTest gain without bio_4_etrs2_ras: 0.5436\u000aTest gain without bio_8_etrs2_ras: 0.5845\u000aTest gain without dist2water1km: 0.5938\u000aTest gain without pet_he_yr: 0.5629\u000aTest gain without soil_ph: 0.5232\u000aTest gain without solar_1km: 0.5956\u000aTest gain with only bio_12_etrs2_ras: 0.1562\u000aTest gain with only bio_15_etrs2_ras: 0.0871\u000aTest gain with only bio_18_etrs2_ras: 0.2374\u000aTest gain with only bio_4_etrs2_ras: 0.1354\u000aTest gain with only bio_8_etrs2_ras: 0.2268\u000aTest gain with only dist2water1km: 0.0099\u000aTest gain with only pet_he_yr: 0.2288\u000aTest gain with only soil_ph: 0.1865\u000aTest gain with only solar_1km: 0.1262\u000aAUC without bio_12_etrs2_ras: 0.7903\u000aAUC without bio_15_etrs2_ras: 0.7863\u000aAUC without bio_18_etrs2_ras: 0.7911\u000aAUC without bio_4_etrs2_ras: 0.7808\u000aAUC without bio_8_etrs2_ras: 0.7909\u000aAUC without dist2water1km: 0.7939\u000aAUC without pet_he_yr: 0.7863\u000aAUC without soil_ph: 0.7782\u000aAUC without solar_1km: 0.7946\u000aAUC with only bio_12_etrs2_ras: 0.6633\u000aAUC with only bio_15_etrs2_ras: 0.6139\u000aAUC with only bio_18_etrs2_ras: 0.6804\u000aAUC with only bio_4_etrs2_ras: 0.6436\u000aAUC with only bio_8_etrs2_ras: 0.6854\u000aAUC with only dist2water1km: 0.5118\u000aAUC with only pet_he_yr: 0.6833\u000aAUC with only soil_ph: 0.6667\u000aAUC with only solar_1km: 0.6621\u000aEntropy: 8.781\u000aPrevalence (average of logistic output over background sites): 0.2823\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0696\u000aFixed cumulative value 1 area: 0.8088\u000aFixed cumulative value 1 training omission: 0.0094\u000aFixed cumulative value 1 test omission: 0.0159\u000aFixed cumulative value 1 binomial probability: 4.44E-10\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1631\u000aFixed cumulative value 5 area: 0.6304\u000aFixed cumulative value 5 training omission: 0.038\u000aFixed cumulative value 5 test omission: 0.0582\u000aFixed cumulative value 5 binomial probability: 3.73E-19\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2415\u000aFixed cumulative value 10 area: 0.5171\u000aFixed cumulative value 10 training omission: 0.0772\u000aFixed cumulative value 10 test omission: 0.1111\u000aFixed cumulative value 10 binomial probability: 7.44E-25\u000aMinimum training presence cumulative threshold: 0.0194\u000aMinimum training presence logistic threshold: 0.0061\u000aMinimum training presence area: 0.9569\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.75E-03\u000a10 percentile training presence cumulative threshold: 13.3642\u000a10 percentile training presence logistic threshold: 0.2785\u000a10 percentile training presence area: 0.4624\u000a10 percentile training presence training omission: 0.0995\u000a10 percentile training presence test omission: 0.1323\u000a10 percentile training presence binomial probability: 2.63E-29\u000aEqual training sensitivity and specificity cumulative threshold: 31.7862\u000aEqual training sensitivity and specificity logistic threshold: 0.4178\u000aEqual training sensitivity and specificity area: 0.2668\u000aEqual training sensitivity and specificity training omission: 0.2668\u000aEqual training sensitivity and specificity test omission: 0.2698\u000aEqual training sensitivity and specificity binomial probability: 2.48E-47\u000aMaximum training sensitivity plus specificity cumulative threshold: 23.3077\u000aMaximum training sensitivity plus specificity logistic threshold: 0.364\u000aMaximum training sensitivity plus specificity area: 0.3425\u000aMaximum training sensitivity plus specificity training omission: 0.1802\u000aMaximum training sensitivity plus specificity test omission: 0.2063\u000aMaximum training sensitivity plus specificity binomial probability: 2.47E-39\u000aEqual test sensitivity and specificity cumulative threshold: 31.4235\u000aEqual test sensitivity and specificity logistic threshold: 0.4163\u000aEqual test sensitivity and specificity area: 0.2697\u000aEqual test sensitivity and specificity training omission: 0.2633\u000aEqual test sensitivity and specificity test omission: 0.2698\u000aEqual test sensitivity and specificity binomial probability: 1.84E-46\u000aMaximum test sensitivity plus specificity cumulative threshold: 29.0965\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4022\u000aMaximum test sensitivity plus specificity area: 0.2889\u000aMaximum test sensitivity plus specificity training omission: 0.2405\u000aMaximum test sensitivity plus specificity test omission: 0.2381\u000aMaximum test sensitivity plus specificity binomial probability: 5.56E-47\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.9181\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0968\u000aBalance training omission, predicted area and threshold value area: 0.751\u000aBalance training omission, predicted area and threshold value training omission: 0.0158\u000aBalance training omission, predicted area and threshold value test omission: 0.0317\u000aBalance training omission, predicted area and threshold value binomial probability: 2.47E-12\u000aEquate entropy of thresholded and original distributions cumulative threshold: 7.2363\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2006\u000aEquate entropy of thresholded and original distributions area: 0.5731\u000aEquate entropy of thresholded and original distributions training omission: 0.0632\u000aEquate entropy of thresholded and original distributions test omission: 0.0899\u000aEquate entropy of thresholded and original distributions binomial probability: 3.82E-21
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEUNIS habitat type G1.A, predicted distribution of habitat suitability - version 1, Jan. 2015
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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V2019-06-04
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VHabitats and biotopes
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Vforest|natural area|terrestrial ecosystem
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 4750\u000aRegularized training gain: 0.2383\u000aUnregularized training gain: 0.2735\u000aIterations: 500\u000aTraining AUC: 0.6966\u000a#Test samples: 527\u000aTest gain: 0.2587\u000aTest AUC: 0.6903\u000aAUC Standard Deviation: 0.0099\u000a#Background points: 14305\u000abio_12_etrs2_ras contribution: 6.7515\u000abio_15_etrs2_ras contribution: 2.7453\u000abio_18_etrs2_ras contribution: 48.869\u000abio_4_etrs2_ras contribution: 6.2496\u000abio_8_etrs2_ras contribution: 11.6554\u000adist2water1km contribution: 0.0829\u000apet_he_yr contribution: 7.685\u000asoil_ph contribution: 2.5529\u000asolar_1km contribution: 13.4084\u000abio_12_etrs2_ras permutation importance: 24.9682\u000abio_15_etrs2_ras permutation importance: 5.5377\u000abio_18_etrs2_ras permutation importance: 42.6219\u000abio_4_etrs2_ras permutation importance: 5.0682\u000abio_8_etrs2_ras permutation importance: 2.2636\u000adist2water1km permutation importance: 0.2125\u000apet_he_yr permutation importance: 8.127\u000asoil_ph permutation importance: 2.3177\u000asolar_1km permutation importance: 8.8832\u000aTraining gain without bio_12_etrs2_ras: 0.2242\u000aTraining gain without bio_15_etrs2_ras: 0.2314\u000aTraining gain without bio_18_etrs2_ras: 0.2004\u000aTraining gain without bio_4_etrs2_ras: 0.2318\u000aTraining gain without bio_8_etrs2_ras: 0.2367\u000aTraining gain without dist2water1km: 0.2379\u000aTraining gain without pet_he_yr: 0.2266\u000aTraining gain without soil_ph: 0.2336\u000aTraining gain without solar_1km: 0.2293\u000aTraining gain with only bio_12_etrs2_ras: 0.0342\u000aTraining gain with only bio_15_etrs2_ras: 0.033\u000aTraining gain with only bio_18_etrs2_ras: 0.132\u000aTraining gain with only bio_4_etrs2_ras: 0.0642\u000aTraining gain with only bio_8_etrs2_ras: 0.099\u000aTraining gain with only dist2water1km: 0.006\u000aTraining gain with only pet_he_yr: 0.0838\u000aTraining gain with only soil_ph: 0.0189\u000aTraining gain with only solar_1km: 0.0579\u000aTest gain without bio_12_etrs2_ras: 0.2428\u000aTest gain without bio_15_etrs2_ras: 0.247\u000aTest gain without bio_18_etrs2_ras: 0.2302\u000aTest gain without bio_4_etrs2_ras: 0.255\u000aTest gain without bio_8_etrs2_ras: 0.2546\u000aTest gain without dist2water1km: 0.2591\u000aTest gain without pet_he_yr: 0.2492\u000aTest gain without soil_ph: 0.255\u000aTest gain without solar_1km: 0.2527\u000aTest gain with only bio_12_etrs2_ras: 0.0349\u000aTest gain with only bio_15_etrs2_ras: 0.0369\u000aTest gain with only bio_18_etrs2_ras: 0.1456\u000aTest gain with only bio_4_etrs2_ras: 0.0768\u000aTest gain with only bio_8_etrs2_ras: 0.1472\u000aTest gain with only dist2water1km: 0.007\u000aTest gain with only pet_he_yr: 0.0862\u000aTest gain with only soil_ph: 0.0095\u000aTest gain with only solar_1km: 0.0542\u000aAUC without bio_12_etrs2_ras: 0.6858\u000aAUC without bio_15_etrs2_ras: 0.687\u000aAUC without bio_18_etrs2_ras: 0.6829\u000aAUC without bio_4_etrs2_ras: 0.6892\u000aAUC without bio_8_etrs2_ras: 0.6883\u000aAUC without dist2water1km: 0.6904\u000aAUC without pet_he_yr: 0.6859\u000aAUC without soil_ph: 0.6882\u000aAUC without solar_1km: 0.6897\u000aAUC with only bio_12_etrs2_ras: 0.5711\u000aAUC with only bio_15_etrs2_ras: 0.5508\u000aAUC with only bio_18_etrs2_ras: 0.6282\u000aAUC with only bio_4_etrs2_ras: 0.6116\u000aAUC with only bio_8_etrs2_ras: 0.6539\u000aAUC with only dist2water1km: 0.5509\u000aAUC with only pet_he_yr: 0.601\u000aAUC with only soil_ph: 0.5484\u000aAUC with only solar_1km: 0.5868\u000aEntropy: 9.3326\u000aPrevalence (average of logistic output over background sites): 0.3921\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.148\u000aFixed cumulative value 1 area: 0.8533\u000aFixed cumulative value 1 training omission: 0.0076\u000aFixed cumulative value 1 test omission: 0.0114\u000aFixed cumulative value 1 binomial probability: 8.30E-19\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2831\u000aFixed cumulative value 5 area: 0.7442\u000aFixed cumulative value 5 training omission: 0.0307\u000aFixed cumulative value 5 test omission: 0.0285\u000aFixed cumulative value 5 binomial probability: 2.85E-33\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3575\u000aFixed cumulative value 10 area: 0.6617\u000aFixed cumulative value 10 training omission: 0.0762\u000aFixed cumulative value 10 test omission: 0.0778\u000aFixed cumulative value 10 binomial probability: 6.25E-37\u000aMinimum training presence cumulative threshold: 0.0109\u000aMinimum training presence logistic threshold: 0.0126\u000aMinimum training presence area: 0.989\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 7.63E-03\u000a10 percentile training presence cumulative threshold: 12.2994\u000a10 percentile training presence logistic threshold: 0.3777\u000a10 percentile training presence area: 0.6303\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.1006\u000a10 percentile training presence binomial probability: 8.49E-38\u000aEqual training sensitivity and specificity cumulative threshold: 38.7394\u000aEqual training sensitivity and specificity logistic threshold: 0.492\u000aEqual training sensitivity and specificity area: 0.3648\u000aEqual training sensitivity and specificity training omission: 0.3648\u000aEqual training sensitivity and specificity test omission: 0.4004\u000aEqual training sensitivity and specificity binomial probability: 2.12E-29\u000aMaximum training sensitivity plus specificity cumulative threshold: 23.1555\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4348\u000aMaximum training sensitivity plus specificity area: 0.507\u000aMaximum training sensitivity plus specificity training omission: 0.2019\u000aMaximum training sensitivity plus specificity test omission: 0.2011\u000aMaximum training sensitivity plus specificity binomial probability: 2.88E-41\u000aEqual test sensitivity and specificity cumulative threshold: 37.1415\u000aEqual test sensitivity and specificity logistic threshold: 0.4872\u000aEqual test sensitivity and specificity area: 0.378\u000aEqual test sensitivity and specificity training omission: 0.3476\u000aEqual test sensitivity and specificity test omission: 0.3776\u000aEqual test sensitivity and specificity binomial probability: 2.87E-31\u000aMaximum test sensitivity plus specificity cumulative threshold: 22.2167\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4316\u000aMaximum test sensitivity plus specificity area: 0.5167\u000aMaximum test sensitivity plus specificity training omission: 0.1941\u000aMaximum test sensitivity plus specificity test omission: 0.1803\u000aMaximum test sensitivity plus specificity binomial probability: 2.32E-44\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3058\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1727\u000aBalance training omission, predicted area and threshold value area: 0.8407\u000aBalance training omission, predicted area and threshold value training omission: 0.0082\u000aBalance training omission, predicted area and threshold value test omission: 0.0114\u000aBalance training omission, predicted area and threshold value binomial probability: 8.53E-21\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.9687\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2334\u000aEquate entropy of thresholded and original distributions area: 0.7899\u000aEquate entropy of thresholded and original distributions training omission: 0.0175\u000aEquate entropy of thresholded and original distributions test omission: 0.0171\u000aEquate entropy of thresholded and original distributions binomial probability: 7.30E-28
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p77079
sbg8
(g23
g10
NtRp77080
(dp77081
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77082
sbNg8
(g9
g10
NtRp77083
(dp77084
g13
Nsg14
Nsg15
VFALSE
p77085
sbNNNg8
(g9
g10
NtRp77086
(dp77087
g13
Nsg14
Nsg15
VFALSE
p77088
sbNNg8
(g9
g10
NtRp77089
(dp77090
g13
Nsg14
Nsg15
VFALSE
p77091
sbNNg8
(g9
g10
NtRp77092
(dp77093
g13
Nsg14
Nsg15
VFALSE
p77094
sbNg8
(g9
g10
NtRp77095
(dp77096
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-2_random_bg_ed1.png
p77097
sbg8
(g9
g10
NtRp77098
(dp77099
g13
Nsg14
Nsg15
VEPSG:3035
p77100
sbg8
(g9
g10
NtRp77101
(dp77102
g13
Nsg14
Nsg15
V2019-06-04
p77103
sbNg8
(g9
g10
NtRp77104
(dp77105
g13
Nsg14
Nsg15
VHabitats and biotopes
p77106
sbg8
(g9
g10
NtRp77107
(dp77108
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p77109
sbg8
(g9
g10
NtRp77110
(dp77111
g13
Nsg14
Nsg15
Vgrid
p77112
sbg8
(g9
g10
NtRp77113
(dp77114
g13
Nsg14
Nsg15
VAAIGrid
p77115
sbNg8
(g9
g10
NtRp77116
(dp77117
g13
Nsg14
Nsg15
V1000m
p77118
sbNg8
(g9
g10
NtRp77119
(dp77120
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 517\u000aRegularized training gain: 2.4022\u000aUnregularized training gain: 2.4893\u000aIterations: 500\u000aTraining AUC: 0.9679\u000a#Test samples: 57\u000aTest gain: 2.277\u000aTest AUC: 0.9613\u000aAUC Standard Deviation: 0.0039\u000a#Background points: 10517\u000abio_12_etrs2_ras contribution: 58.0386\u000abio_15_etrs2_ras contribution: 0.6514\u000abio_18_etrs2_ras contribution: 5.9122\u000abio_4_etrs2_ras contribution: 18.8005\u000abio_8_etrs2_ras contribution: 0.1274\u000adist2water1km contribution: 0.4643\u000apet_he_yr contribution: 15.6623\u000asoil_ph contribution: 0.1338\u000asolar_1km contribution: 0.2095\u000abio_12_etrs2_ras permutation importance: 47.8566\u000abio_15_etrs2_ras permutation importance: 1.8005\u000abio_18_etrs2_ras permutation importance: 0.4974\u000abio_4_etrs2_ras permutation importance: 26.6242\u000abio_8_etrs2_ras permutation importance: 0.7586\u000adist2water1km permutation importance: 0.6557\u000apet_he_yr permutation importance: 21.4057\u000asoil_ph permutation importance: 0.1723\u000asolar_1km permutation importance: 0.2289\u000aEntropy: 6.8631\u000aPrevalence (average of logistic output over background sites): 0.0437\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0184\u000aFixed cumulative value 1 area: 0.1481\u000aFixed cumulative value 1 training omission: 0.0019\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1303\u000aFixed cumulative value 5 area: 0.0909\u000aFixed cumulative value 5 training omission: 0.0271\u000aFixed cumulative value 5 test omission: 0.1053\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2447\u000aFixed cumulative value 10 area: 0.0706\u000aFixed cumulative value 10 training omission: 0.0542\u000aFixed cumulative value 10 test omission: 0.1053\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.2162\u000aMinimum training presence logistic threshold: 0.0025\u000aMinimum training presence area: 0.2431\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 8.77E-41\u000a10 percentile training presence cumulative threshold: 14.0285\u000a10 percentile training presence logistic threshold: 0.3129\u000a10 percentile training presence area: 0.0611\u000a10 percentile training presence training omission: 0.0986\u000a10 percentile training presence test omission: 0.1579\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 11.4691\u000aEqual training sensitivity and specificity logistic threshold: 0.2695\u000aEqual training sensitivity and specificity area: 0.0668\u000aEqual training sensitivity and specificity training omission: 0.0677\u000aEqual training sensitivity and specificity test omission: 0.1228\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.1826\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2044\u000aMaximum training sensitivity plus specificity area: 0.0764\u000aMaximum training sensitivity plus specificity training omission: 0.0348\u000aMaximum training sensitivity plus specificity test omission: 0.1053\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 4.9612\u000aEqual test sensitivity and specificity logistic threshold: 0.1296\u000aEqual test sensitivity and specificity area: 0.0912\u000aEqual test sensitivity and specificity training omission: 0.0271\u000aEqual test sensitivity and specificity test omission: 0.0877\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 2.8429\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0774\u000aMaximum test sensitivity plus specificity area: 0.1085\u000aMaximum test sensitivity plus specificity training omission: 0.0097\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.1905\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0246\u000aBalance training omission, predicted area and threshold value area: 0.1401\u000aBalance training omission, predicted area and threshold value training omission: 0.0019\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 5.0118\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1303\u000aEquate entropy of thresholded and original distributions area: 0.0909\u000aEquate entropy of thresholded and original distributions training omission: 0.0271\u000aEquate entropy of thresholded and original distributions test omission: 0.1053\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p77121
sbg8
(g9
g10
NtRp77122
(dp77123
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab483dcf-40a1-4be1-93fe-d8658e8d68b8
p77124
sbg8
(g9
g10
NtRp77125
(dp77126
g13
Nsg14
g74
sg15
V1940
p77127
sbg8
(g9
g10
NtRp77128
(dp77129
g13
Nsg14
g74
sg15
V2011
p77130
sbg8
(g9
g10
NtRp77131
(dp77132
g13
Nsg14
Nsg15
VTRUE
p77133
sbg8
(g9
g10
NtRp77134
(dp77135
g13
Nsg14
Nsg15
VEurope
p77136
sbg8
(g9
g10
NtRp77137
(dp77138
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77139
sbg8
(g9
g10
NtRp77140
(dp77141
g13
Nsg14
Nsg15
VFALSE
p77142
sbg8
(g9
g10
NtRp77143
(dp77144
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77145
sbg8
(g9
g10
NtRp77146
(dp77147
g13
Nsg14
Nsg15
VFALSE
p77148
sbNNNNNNNg8
(g9
g10
NtRp77149
(dp77150
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77151
(dp77152
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77153
(dp77154
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-2_1940-2011_rev01
p77155
sbNNtp77156
a(g8
(g9
g10
NtRp77157
(dp77158
g13
Nsg14
Nsg15
V120e83fd-1da7-407c-ad3a-935021d9711d
p77159
sbNg8
(g9
g10
NtRp77160
(dp77161
g13
Nsg14
Nsg15
VEUNIS habitat type G2.6 distribution based on vegetation plot data - version 1, Jan. 2015
p77162
sbNNNNNg8
(g9
g10
NtRp77163
(dp77164
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77165
sbg8
(g23
g10
NtRp77166
(dp77167
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77168
sbNg8
(g9
g10
NtRp77169
(dp77170
g13
Nsg14
Nsg15
VFALSE
p77171
sbNNNg8
(g9
g10
NtRp77172
(dp77173
g13
Nsg14
Nsg15
VFALSE
p77174
sbNNg8
(g9
g10
NtRp77175
(dp77176
g13
Nsg14
Nsg15
VFALSE
p77177
sbNNg8
(g9
g10
NtRp77178
(dp77179
g13
Nsg14
Nsg15
VFALSE
p77180
sbNg8
(g9
g10
NtRp77181
(dp77182
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-6_dist_edt1.png
p77183
sbg8
(g9
g10
NtRp77184
(dp77185
g13
Nsg14
Nsg15
VEPSG:3035
p77186
sbg8
(g9
g10
NtRp77187
(dp77188
g13
Nsg14
Nsg15
V2019-06-04
p77189
sbNg8
(g9
g10
NtRp77190
(dp77191
g13
Nsg14
Nsg15
VHabitats and biotopes
p77192
sbg8
(g9
g10
NtRp77193
(dp77194
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p77195
sbg8
(g9
g10
NtRp77196
(dp77197
g13
Nsg14
Nsg15
Vvector
p77198
sbg8
(g9
g10
NtRp77199
(dp77200
g13
Nsg14
Nsg15
VSHP
p77201
sbNg8
(g9
g10
NtRp77202
(dp77203
g13
Nsg14
Nsg15
V1:10000000
p77204
sbNg8
(g9
g10
NtRp77205
(dp77206
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p77207
sbg8
(g9
g10
NtRp77208
(dp77209
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/120e83fd-1da7-407c-ad3a-935021d9711d
p77210
sbg8
(g9
g10
NtRp77211
(dp77212
g13
Nsg14
g74
sg15
V1940
p77213
sbg8
(g9
g10
NtRp77214
(dp77215
g13
Nsg14
g74
sg15
V2011
p77216
sbg8
(g9
g10
NtRp77217
(dp77218
g13
Nsg14
Nsg15
VTRUE
p77219
sbg8
(g9
g10
NtRp77220
(dp77221
g13
Nsg14
Nsg15
VEurope
p77222
sbg8
(g9
g10
NtRp77223
(dp77224
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77225
sbg8
(g9
g10
NtRp77226
(dp77227
g13
Nsg14
Nsg15
VFALSE
p77228
sbg8
(g9
g10
NtRp77229
(dp77230
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77231
sbg8
(g9
g10
NtRp77232
(dp77233
g13
Nsg14
Nsg15
VFALSE
p77234
sbNNNNNNNg8
(g9
g10
NtRp77235
(dp77236
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77237
(dp77238
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77239
(dp77240
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g2-6_1940-2011_rev01
p77241
sbNNtp77242
a(g8
(g9
g10
NtRp77243
(dp77244
g13
Nsg14
Nsg15
Vf766707a-0118-4975-81ca-1fe4f66f2679
p77245
sbNg8
(g9
g10
NtRp77246
(dp77247
g13
Nsg14
Nsg15
VEUNIS habitat type G1.2 distribution based on vegetation plot data - version 1, Jan. 2015
p77248
sbNNNNNg8
(g9
g10
NtRp77249
(dp77250
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77251
sbg8
(g23
g10
NtRp77252
(dp77253
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77254
sbNg8
(g9
g10
NtRp77255
(dp77256
g13
Nsg14
Nsg15
VFALSE
p77257
sbNNNg8
(g9
g10
NtRp77258
(dp77259
g13
Nsg14
Nsg15
VFALSE
p77260
sbNNg8
(g9
g10
NtRp77261
(dp77262
g13
Nsg14
Nsg15
VFALSE
p77263
sbNNg8
(g9
g10
NtRp77264
(dp77265
g13
Nsg14
Nsg15
VFALSE
p77266
sbNg8
(g9
g10
NtRp77267
(dp77268
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-2_dist_edt1.png
p77269
sbg8
(g9
g10
NtRp77270
(dp77271
g13
Nsg14
Nsg15
VEPSG:3035
p77272
sbg8
(g9
g10
NtRp77273
(dp77274
g13
Nsg14
Nsg15
V2019-06-04
p77275
sbNg8
(g9
g10
NtRp77276
(dp77277
g13
Nsg14
Nsg15
VHabitats and biotopes
p77278
sbg8
(g9
g10
NtRp77279
(dp77280
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p77281
sbg8
(g9
g10
NtRp77282
(dp77283
g13
Nsg14
Nsg15
Vvector
p77284
sbg8
(g9
g10
NtRp77285
(dp77286
g13
Nsg14
Nsg15
VSHP
p77287
sbNg8
(g9
g10
NtRp77288
(dp77289
g13
Nsg14
Nsg15
V1:10000000
p77290
sbNg8
(g9
g10
NtRp77291
(dp77292
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p77293
sbg8
(g9
g10
NtRp77294
(dp77295
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f766707a-0118-4975-81ca-1fe4f66f2679
p77296
sbg8
(g9
g10
NtRp77297
(dp77298
g13
Nsg14
g74
sg15
V1940
p77299
sbg8
(g9
g10
NtRp77300
(dp77301
g13
Nsg14
g74
sg15
V2011
p77302
sbg8
(g9
g10
NtRp77303
(dp77304
g13
Nsg14
Nsg15
VTRUE
p77305
sbg8
(g9
g10
NtRp77306
(dp77307
g13
Nsg14
Nsg15
VEurope
p77308
sbg8
(g9
g10
NtRp77309
(dp77310
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77311
sbg8
(g9
g10
NtRp77312
(dp77313
g13
Nsg14
Nsg15
VFALSE
p77314
sbg8
(g9
g10
NtRp77315
(dp77316
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77317
sbg8
(g9
g10
NtRp77318
(dp77319
g13
Nsg14
Nsg15
VFALSE
p77320
sbNNNNNNNg8
(g9
g10
NtRp77321
(dp77322
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77323
(dp77324
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77325
(dp77326
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-2_1940-2011_rev01
p77327
sbNNtp77328
a(g8
(g9
g10
NtRp77329
(dp77330
g13
Nsg14
Nsg15
V0f34cad3-8a8b-4698-8c73-d5757d14b318
p77331
sbNg8
(g9
g10
NtRp77332
(dp77333
g13
Nsg14
Nsg15
VEUNIS habitat type F5-5 distribution based on vegetation plot data - version 1, June 2016
p77334
sbNNNNNg8
(g9
g10
NtRp77335
(dp77336
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77337
sbg8
(g23
g10
NtRp77338
(dp77339
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77340
sbNg8
(g9
g10
NtRp77341
(dp77342
g13
Nsg14
Nsg15
VFALSE
p77343
sbNNNg8
(g9
g10
NtRp77344
(dp77345
g13
Nsg14
Nsg15
VFALSE
p77346
sbNNg8
(g9
g10
NtRp77347
(dp77348
g13
Nsg14
Nsg15
VFALSE
p77349
sbNNg8
(g9
g10
NtRp77350
(dp77351
g13
Nsg14
Nsg15
VFALSE
p77352
sbNg8
(g9
g10
NtRp77353
(dp77354
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-5_dist_edt1.png
p77355
sbg8
(g9
g10
NtRp77356
(dp77357
g13
Nsg14
Nsg15
VEPSG:3035
p77358
sbg8
(g9
g10
NtRp77359
(dp77360
g13
Nsg14
Nsg15
V2019-06-04
p77361
sbNg8
(g9
g10
NtRp77362
(dp77363
g13
Nsg14
Nsg15
VHabitats and biotopes
p77364
sbg8
(g9
g10
NtRp77365
(dp77366
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p77367
sbg8
(g9
g10
NtRp77368
(dp77369
g13
Nsg14
Nsg15
Vvector
p77370
sbg8
(g9
g10
NtRp77371
(dp77372
g13
Nsg14
Nsg15
VSHP
p77373
sbNg8
(g9
g10
NtRp77374
(dp77375
g13
Nsg14
Nsg15
V1:10000000
p77376
sbNg8
(g9
g10
NtRp77377
(dp77378
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p77379
sbg8
(g9
g10
NtRp77380
(dp77381
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f34cad3-8a8b-4698-8c73-d5757d14b318
p77382
sbg8
(g9
g10
NtRp77383
(dp77384
g13
Nsg14
g74
sg15
V1940
p77385
sbg8
(g9
g10
NtRp77386
(dp77387
g13
Nsg14
g74
sg15
V2011
p77388
sbg8
(g9
g10
NtRp77389
(dp77390
g13
Nsg14
Nsg15
VTRUE
p77391
sbg8
(g9
g10
NtRp77392
(dp77393
g13
Nsg14
Nsg15
VEurope
p77394
sbg8
(g9
g10
NtRp77395
(dp77396
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77397
sbg8
(g9
g10
NtRp77398
(dp77399
g13
Nsg14
Nsg15
VFALSE
p77400
sbg8
(g9
g10
NtRp77401
(dp77402
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77403
sbg8
(g9
g10
NtRp77404
(dp77405
g13
Nsg14
Nsg15
VFALSE
p77406
sbNNNNNNNg8
(g9
g10
NtRp77407
(dp77408
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77409
(dp77410
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77411
(dp77412
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f5-5_1940-2011_rev01
p77413
sbNNtp77414
a(g8
(g9
g10
NtRp77415
(dp77416
g13
Nsg14
Nsg15
V8ff70800-d237-4ce3-bd01-a0e4d5053ec1
p77417
sbNg8
(g9
g10
NtRp77418
(dp77419
g13
Nsg14
Nsg15
VEUNIS habitat type F9-1b distribution based on vegetation plot data - version 1, June 2016
p77420
sbNNNNNg8
(g9
g10
NtRp77421
(dp77422
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77423
sbg8
(g23
g10
NtRp77424
(dp77425
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77426
sbNg8
(g9
g10
NtRp77427
(dp77428
g13
Nsg14
Nsg15
VFALSE
p77429
sbNNNg8
(g9
g10
NtRp77430
(dp77431
g13
Nsg14
Nsg15
VFALSE
p77432
sbNNg8
(g9
g10
NtRp77433
(dp77434
g13
Nsg14
Nsg15
VFALSE
p77435
sbNNg8
(g9
g10
NtRp77436
(dp77437
g13
Nsg14
Nsg15
VFALSE
p77438
sbNg8
(g9
g10
NtRp77439
(dp77440
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1b_dist_edt1.png
p77441
sbg8
(g9
g10
NtRp77442
(dp77443
g13
Nsg14
Nsg15
VEPSG:3035
p77444
sbg8
(g9
g10
NtRp77445
(dp77446
g13
Nsg14
Nsg15
V2019-06-04
p77447
sbNg8
(g9
g10
NtRp77448
(dp77449
g13
Nsg14
Nsg15
VHabitats and biotopes
p77450
sbg8
(g9
g10
NtRp77451
(dp77452
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p77453
sbg8
(g9
g10
NtRp77454
(dp77455
g13
Nsg14
Nsg15
Vvector
p77456
sbg8
(g9
g10
NtRp77457
(dp77458
g13
Nsg14
Nsg15
VSHP
p77459
sbNg8
(g9
g10
NtRp77460
(dp77461
g13
Nsg14
Nsg15
V1:10000000
p77462
sbNg8
(g9
g10
NtRp77463
(dp77464
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p77465
sbg8
(g9
g10
NtRp77466
(dp77467
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ff70800-d237-4ce3-bd01-a0e4d5053ec1
p77468
sbg8
(g9
g10
NtRp77469
(dp77470
g13
Nsg14
g74
sg15
V1940
p77471
sbg8
(g9
g10
NtRp77472
(dp77473
g13
Nsg14
g74
sg15
V2011
p77474
sbg8
(g9
g10
NtRp77475
(dp77476
g13
Nsg14
Nsg15
VTRUE
p77477
sbg8
(g9
g10
NtRp77478
(dp77479
g13
Nsg14
Nsg15
VEurope
p77480
sbg8
(g9
g10
NtRp77481
(dp77482
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77483
sbg8
(g9
g10
NtRp77484
(dp77485
g13
Nsg14
Nsg15
VFALSE
p77486
sbg8
(g9
g10
NtRp77487
(dp77488
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77489
sbg8
(g9
g10
NtRp77490
(dp77491
g13
Nsg14
Nsg15
VFALSE
p77492
sbNNNNNNNg8
(g9
g10
NtRp77493
(dp77494
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77495
(dp77496
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77497
(dp77498
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f9-1b_1940-2011_rev01
p77499
sbNNtp77500
a(g8
(g9
g10
NtRp77501
(dp77502
g13
Nsg14
Nsg15
Ved7ac3a8-4495-4b4c-8e20-9a4042f15475
p77503
sbNg8
(g9
g10
NtRp77504
(dp77505
g13
Nsg14
Nsg15
VEUNIS habitat type F7-4c distribution based on vegetation plot data - version 1, June 2016
p77506
sbNNNNNg8
(g9
g10
NtRp77507
(dp77508
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77509
sbg8
(g23
g10
NtRp77510
(dp77511
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77512
sbNg8
(g9
g10
NtRp77513
(dp77514
g13
Nsg14
Nsg15
VFALSE
p77515
sbNNNg8
(g9
g10
NtRp77516
(dp77517
g13
Nsg14
Nsg15
VFALSE
p77518
sbNNg8
(g9
g10
NtRp77519
(dp77520
g13
Nsg14
Nsg15
VFALSE
p77521
sbNNg8
(g9
g10
NtRp77522
(dp77523
g13
Nsg14
Nsg15
VFALSE
p77524
sbNg8
(g9
g10
NtRp77525
(dp77526
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_dist_edt1.png
p77527
sbg8
(g9
g10
NtRp77528
(dp77529
g13
Nsg14
Nsg15
VEPSG:3035
p77530
sbg8
(g9
g10
NtRp77531
(dp77532
g13
Nsg14
Nsg15
V2019-06-04
p77533
sbNg8
(g9
g10
NtRp77534
(dp77535
g13
Nsg14
Nsg15
VHabitats and biotopes
p77536
sbg8
(g9
g10
NtRp77537
(dp77538
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p77539
sbg8
(g9
g10
NtRp77540
(dp77541
g13
Nsg14
Nsg15
Vvector
p77542
sbg8
(g9
g10
NtRp77543
(dp77544
g13
Nsg14
Nsg15
VSHP
p77545
sbNg8
(g9
g10
NtRp77546
(dp77547
g13
Nsg14
Nsg15
V1:10000000
p77548
sbNg8
(g9
g10
NtRp77549
(dp77550
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p77551
sbg8
(g9
g10
NtRp77552
(dp77553
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ed7ac3a8-4495-4b4c-8e20-9a4042f15475
p77554
sbg8
(g9
g10
NtRp77555
(dp77556
g13
Nsg14
g74
sg15
V1940
p77557
sbg8
(g9
g10
NtRp77558
(dp77559
g13
Nsg14
g74
sg15
V2011
p77560
sbg8
(g9
g10
NtRp77561
(dp77562
g13
Nsg14
Nsg15
VTRUE
p77563
sbg8
(g9
g10
NtRp77564
(dp77565
g13
Nsg14
Nsg15
VEurope
p77566
sbg8
(g9
g10
NtRp77567
(dp77568
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77569
sbg8
(g9
g10
NtRp77570
(dp77571
g13
Nsg14
Nsg15
VFALSE
p77572
sbg8
(g9
g10
NtRp77573
(dp77574
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77575
sbg8
(g9
g10
NtRp77576
(dp77577
g13
Nsg14
Nsg15
VFALSE
p77578
sbNNNNNNNg8
(g9
g10
NtRp77579
(dp77580
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77581
(dp77582
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77583
(dp77584
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f7-4c_1940-2011_rev01
p77585
sbNNtp77586
a(g8
(g9
g10
NtRp77587
(dp77588
g13
Nsg14
Nsg15
V54d4ff10-a02a-4090-b063-f8ab3c96ebb0
p77589
sbNg8
(g9
g10
NtRp77590
(dp77591
g13
Nsg14
Nsg15
VEUNIS habitat type G3.9b, predicted distribution of habitat suitability - version 1, Jan. 2015
p77592
sbNNNNNg8
(g9
g10
NtRp77593
(dp77594
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p77595
sbg8
(g23
g10
NtRp77596
(dp77597
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77598
sbNg8
(g9
g10
NtRp77599
(dp77600
g13
Nsg14
Nsg15
VFALSE
p77601
sbNNNg8
(g9
g10
NtRp77602
(dp77603
g13
Nsg14
Nsg15
VFALSE
p77604
sbNNg8
(g9
g10
NtRp77605
(dp77606
g13
Nsg14
Nsg15
VFALSE
p77607
sbNNg8
(g9
g10
NtRp77608
(dp77609
g13
Nsg14
Nsg15
VFALSE
p77610
sbNg8
(g9
g10
NtRp77611
(dp77612
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_forest_bg_ed1.png
p77613
sbg8
(g9
g10
NtRp77614
(dp77615
g13
Nsg14
Nsg15
VEPSG:3035
p77616
sbg8
(g9
g10
NtRp77617
(dp77618
g13
Nsg14
Nsg15
V2019-06-04
p77619
sbNg8
(g9
g10
NtRp77620
(dp77621
g13
Nsg14
Nsg15
VHabitats and biotopes
p77622
sbg8
(g9
g10
NtRp77623
(dp77624
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p77625
sbg8
(g9
g10
NtRp77626
(dp77627
g13
Nsg14
Nsg15
Vgrid
p77628
sbg8
(g9
g10
NtRp77629
(dp77630
g13
Nsg14
Nsg15
VAAIGrid
p77631
sbNg8
(g9
g10
NtRp77632
(dp77633
g13
Nsg14
Nsg15
V1000m
p77634
sbNg8
(g9
g10
NtRp77635
(dp77636
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 551\u000aRegularized training gain: 1.6047\u000aUnregularized training gain: 1.779\u000aIterations: 500\u000aTraining AUC: 0.938\u000a#Test samples: 61\u000aTest gain: 1.5894\u000aTest AUC: 0.9235\u000aAUC Standard Deviation: 0.0074\u000a#Background points: 10274\u000abio_12_etrs2_ras contribution: 1.7246\u000abio_15_etrs2_ras contribution: 4.5698\u000abio_18_etrs2_ras contribution: 59.8598\u000abio_4_etrs2_ras contribution: 3.0765\u000abio_8_etrs2_ras contribution: 6.6394\u000adist2water1km contribution: 4.6239\u000apet_he_yr contribution: 12.6501\u000asoil_ph contribution: 4.9473\u000asolar_1km contribution: 1.9085\u000abio_12_etrs2_ras permutation importance: 4.663\u000abio_15_etrs2_ras permutation importance: 7.0067\u000abio_18_etrs2_ras permutation importance: 68.5827\u000abio_4_etrs2_ras permutation importance: 2.3029\u000abio_8_etrs2_ras permutation importance: 5.5913\u000adist2water1km permutation importance: 2.5289\u000apet_he_yr permutation importance: 5.7074\u000asoil_ph permutation importance: 2.2444\u000asolar_1km permutation importance: 1.3729\u000aTraining gain without bio_12_etrs2_ras: 1.5757\u000aTraining gain without bio_15_etrs2_ras: 1.5485\u000aTraining gain without bio_18_etrs2_ras: 1.5242\u000aTraining gain without bio_4_etrs2_ras: 1.5871\u000aTraining gain without bio_8_etrs2_ras: 1.591\u000aTraining gain without dist2water1km: 1.5506\u000aTraining gain without pet_he_yr: 1.5634\u000aTraining gain without soil_ph: 1.5682\u000aTraining gain without solar_1km: 1.587\u000aTraining gain with only bio_12_etrs2_ras: 0.2283\u000aTraining gain with only bio_15_etrs2_ras: 0.3311\u000aTraining gain with only bio_18_etrs2_ras: 1.1116\u000aTraining gain with only bio_4_etrs2_ras: 0.3341\u000aTraining gain with only bio_8_etrs2_ras: 0.5807\u000aTraining gain with only dist2water1km: 0.271\u000aTraining gain with only pet_he_yr: 0.7354\u000aTraining gain with only soil_ph: 0.4561\u000aTraining gain with only solar_1km: 0.065\u000aTest gain without bio_12_etrs2_ras: 1.5697\u000aTest gain without bio_15_etrs2_ras: 1.5186\u000aTest gain without bio_18_etrs2_ras: 1.527\u000aTest gain without bio_4_etrs2_ras: 1.5532\u000aTest gain without bio_8_etrs2_ras: 1.5712\u000aTest gain without dist2water1km: 1.5316\u000aTest gain without pet_he_yr: 1.5343\u000aTest gain without soil_ph: 1.5744\u000aTest gain without solar_1km: 1.6178\u000aTest gain with only bio_12_etrs2_ras: 0.3124\u000aTest gain with only bio_15_etrs2_ras: 0.3377\u000aTest gain with only bio_18_etrs2_ras: 1.2686\u000aTest gain with only bio_4_etrs2_ras: 0.4335\u000aTest gain with only bio_8_etrs2_ras: 0.4994\u000aTest gain with only dist2water1km: 0.2666\u000aTest gain with only pet_he_yr: 0.8347\u000aTest gain with only soil_ph: 0.3684\u000aTest gain with only solar_1km: 0.0587\u000aAUC without bio_12_etrs2_ras: 0.9222\u000aAUC without bio_15_etrs2_ras: 0.9186\u000aAUC without bio_18_etrs2_ras: 0.9182\u000aAUC without bio_4_etrs2_ras: 0.9202\u000aAUC without bio_8_etrs2_ras: 0.922\u000aAUC without dist2water1km: 0.9177\u000aAUC without pet_he_yr: 0.9196\u000aAUC without soil_ph: 0.9236\u000aAUC without solar_1km: 0.9265\u000aAUC with only bio_12_etrs2_ras: 0.7167\u000aAUC with only bio_15_etrs2_ras: 0.7104\u000aAUC with only bio_18_etrs2_ras: 0.8877\u000aAUC with only bio_4_etrs2_ras: 0.7548\u000aAUC with only bio_8_etrs2_ras: 0.748\u000aAUC with only dist2water1km: 0.6277\u000aAUC with only pet_he_yr: 0.8383\u000aAUC with only soil_ph: 0.7267\u000aAUC with only solar_1km: 0.5968\u000aEntropy: 7.6441\u000aPrevalence (average of logistic output over background sites): 0.0991\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.02\u000aFixed cumulative value 1 area: 0.3258\u000aFixed cumulative value 1 training omission: 0.0018\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.36E-29\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1642\u000aFixed cumulative value 5 area: 0.2104\u000aFixed cumulative value 5 training omission: 0.0236\u000aFixed cumulative value 5 test omission: 0.0164\u000aFixed cumulative value 5 binomial probability: 5.90E-50\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2704\u000aFixed cumulative value 10 area: 0.1737\u000aFixed cumulative value 10 training omission: 0.0472\u000aFixed cumulative value 10 test omission: 0.0328\u000aFixed cumulative value 10 binomial probability: 1.96E-60\u000aMinimum training presence cumulative threshold: 0.0336\u000aMinimum training presence logistic threshold: 0.0006\u000aMinimum training presence area: 0.6798\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.15E-08\u000a10 percentile training presence cumulative threshold: 15.8236\u000a10 percentile training presence logistic threshold: 0.3356\u000a10 percentile training presence area: 0.147\u000a10 percentile training presence training omission: 0.098\u000a10 percentile training presence test omission: 0.1311\u000a10 percentile training presence binomial probability: 2.19E-57\u000aEqual training sensitivity and specificity cumulative threshold: 20.1452\u000aEqual training sensitivity and specificity logistic threshold: 0.3631\u000aEqual training sensitivity and specificity area: 0.1307\u000aEqual training sensitivity and specificity training omission: 0.1307\u000aEqual training sensitivity and specificity test omission: 0.2131\u000aEqual training sensitivity and specificity binomial probability: 1.69E-52\u000aMaximum training sensitivity plus specificity cumulative threshold: 10.3567\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2792\u000aMaximum training sensitivity plus specificity area: 0.1718\u000aMaximum training sensitivity plus specificity training omission: 0.0472\u000aMaximum training sensitivity plus specificity test omission: 0.0492\u000aMaximum training sensitivity plus specificity binomial probability: 7.80E-59\u000aEqual test sensitivity and specificity cumulative threshold: 16.6824\u000aEqual test sensitivity and specificity logistic threshold: 0.3426\u000aEqual test sensitivity and specificity area: 0.1437\u000aEqual test sensitivity and specificity training omission: 0.1125\u000aEqual test sensitivity and specificity test omission: 0.1475\u000aEqual test sensitivity and specificity binomial probability: 2.04E-56\u000aMaximum test sensitivity plus specificity cumulative threshold: 7.834\u000aMaximum test sensitivity plus specificity logistic threshold: 0.23\u000aMaximum test sensitivity plus specificity area: 0.1869\u000aMaximum test sensitivity plus specificity training omission: 0.0381\u000aMaximum test sensitivity plus specificity test omission: 0.0164\u000aMaximum test sensitivity plus specificity binomial probability: 1.16E-57\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.1949\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0642\u000aBalance training omission, predicted area and threshold value area: 0.2575\u000aBalance training omission, predicted area and threshold value training omission: 0.0018\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 1.95E-40\u000aEquate entropy of thresholded and original distributions cumulative threshold: 5.7446\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1792\u000aEquate entropy of thresholded and original distributions area: 0.2032\u000aEquate entropy of thresholded and original distributions training omission: 0.0236\u000aEquate entropy of thresholded and original distributions test omission: 0.0164\u000aEquate entropy of thresholded and original distributions binomial probability: 4.01E-52
p77637
sbg8
(g9
g10
NtRp77638
(dp77639
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54d4ff10-a02a-4090-b063-f8ab3c96ebb0
p77640
sbg8
(g9
g10
NtRp77641
(dp77642
g13
Nsg14
g74
sg15
V1940
p77643
sbg8
(g9
g10
NtRp77644
(dp77645
g13
Nsg14
g74
sg15
V2011
p77646
sbg8
(g9
g10
NtRp77647
(dp77648
g13
Nsg14
Nsg15
VTRUE
p77649
sbg8
(g9
g10
NtRp77650
(dp77651
g13
Nsg14
Nsg15
VEurope
p77652
sbg8
(g9
g10
NtRp77653
(dp77654
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77655
sbg8
(g9
g10
NtRp77656
(dp77657
g13
Nsg14
Nsg15
VFALSE
p77658
sbg8
(g9
g10
NtRp77659
(dp77660
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77661
sbg8
(g9
g10
NtRp77662
(dp77663
g13
Nsg14
Nsg15
VFALSE
p77664
sbNNNNNNNg8
(g9
g10
NtRp77665
(dp77666
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77667
(dp77668
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77669
(dp77670
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-9b_1940-2011_rev01
p77671
sbNNtp77672
a(g8
(g9
g10
NtRp77673
(dp77674
g13
Nsg14
Nsg15
V3987be0d-8358-4677-a5ed-c15162079bea
p77675
sbNg8
(g9
g10
NtRp77676
(dp77677
g13
Nsg14
Nsg15
VEUNIS habitat type G3.1a distribution based on vegetation plot data - version 1, Jan. 2015
p77678
sbNNNNNg8
(g9
g10
NtRp77679
(dp77680
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p77681
sbg8
(g23
g10
NtRp77682
(dp77683
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77684
sbNg8
(g9
g10
NtRp77685
(dp77686
g13
Nsg14
Nsg15
VFALSE
p77687
sbNNNg8
(g9
g10
NtRp77688
(dp77689
g13
Nsg14
Nsg15
VFALSE
p77690
sbNNg8
(g9
g10
NtRp77691
(dp77692
g13
Nsg14
Nsg15
VFALSE
p77693
sbNNg8
(g9
g10
NtRp77694
(dp77695
g13
Nsg14
Nsg15
VFALSE
p77696
sbNg8
(g9
g10
NtRp77697
(dp77698
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1a_dist_edt1.png
p77699
sbg8
(g9
g10
NtRp77700
(dp77701
g13
Nsg14
Nsg15
VEPSG:3035
p77702
sbg8
(g9
g10
NtRp77703
(dp77704
g13
Nsg14
Nsg15
V2019-06-04
p77705
sbNg8
(g9
g10
NtRp77706
(dp77707
g13
Nsg14
Nsg15
VHabitats and biotopes
p77708
sbg8
(g9
g10
NtRp77709
(dp77710
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p77711
sbg8
(g9
g10
NtRp77712
(dp77713
g13
Nsg14
Nsg15
Vvector
p77714
sbg8
(g9
g10
NtRp77715
(dp77716
g13
Nsg14
Nsg15
VSHP
p77717
sbNg8
(g9
g10
NtRp77718
(dp77719
g13
Nsg14
Nsg15
V1:10000000
p77720
sbNg8
(g9
g10
NtRp77721
(dp77722
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p77723
sbg8
(g9
g10
NtRp77724
(dp77725
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3987be0d-8358-4677-a5ed-c15162079bea
p77726
sbg8
(g9
g10
NtRp77727
(dp77728
g13
Nsg14
g74
sg15
V1940
p77729
sbg8
(g9
g10
NtRp77730
(dp77731
g13
Nsg14
g74
sg15
V2011
p77732
sbg8
(g9
g10
NtRp77733
(dp77734
g13
Nsg14
Nsg15
VTRUE
p77735
sbg8
(g9
g10
NtRp77736
(dp77737
g13
Nsg14
Nsg15
VEurope
p77738
sbg8
(g9
g10
NtRp77739
(dp77740
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77741
sbg8
(g9
g10
NtRp77742
(dp77743
g13
Nsg14
Nsg15
VFALSE
p77744
sbg8
(g9
g10
NtRp77745
(dp77746
g13
Nsg14
Nsg15
VEuropean Environment Agency
p77747
sbg8
(g9
g10
NtRp77748
(dp77749
g13
Nsg14
Nsg15
VFALSE
p77750
sbNNNNNNNg8
(g9
g10
NtRp77751
(dp77752
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp77753
(dp77754
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp77755
(dp77756
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-1a_1940-2011_rev01
p77757
sbNNtp77758
a(g8
(g9
g10
NtRp77759
(dp77760
g13
Nsg14
Nsg15
V209c0933-b2b2-458a-b414-9512b2c3ee42
p77761
sbNg8
(g9
g10
NtRp77762
(dp77763
g13
Nsg14
Nsg15
VEUNIS habitat type F2.1, predicted habitat suitability - version 1, June 2016
p77764
sbNNNNNg8
(g9
g10
NtRp77765
(dp77766
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
p77767
sbg8
(g23
g10
NtRp77768
(dp77769
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p77770
sbNg8
(g9
g10
NtRp77771
(dp77772
g13
Nsg14
Nsg15
VFALSE
p77773
sbNNNg8
(g9
g10
NtRp77774
(dp77775
g13
Nsg14
Nsg15
VFALSE
p77776
sbNNg8
(g9
g10
NtRp77777
(dp77778
g13
Nsg14
Nsg15
VFALSE
p77779
sbNNg8
(g9
g10
NtRp77780
(dp77781
g13
Nsg14
Nsg15
VFALSE
p77782
sbNg8
(g9
g10
NtRp77783
(dp77784
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_heath_bg_ed1.png
p77785
sbg8
(g9
g10
NtRp77786
(dp77787
g13
Nsg14
Nsg15
VEPSG:3035
p77788
sbg8
(g9
g10
NtRp77789
(dp77790
g13
Nsg14
Nsg15
V2019-06-04
p77791
sbNg8
(g9
g10
NtRp77792
(dp77793
g13
Nsg14
Nsg15
VHabitats and biotopes
p77794
sbg8
(g9
g10
NtRp77795
(dp77796
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p77797
sbg8
(g9
g10
NtRp77798
(dp77799
g13
Nsg14
Nsg15
Vgrid
p77800
sbg8
(g9
g10
NtRp77801
(dp77802
g13
Nsg14
Nsg15
VGTiff
p77803
sbNg8
(g9
g10
NtRp77804
(dp77805
g13
Nsg14
Nsg15
V1000m
p77806
sbNg8
(g9
g10
NtRp77807
(dp77808
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 450\u000aRegularized training gain: 1.9963\u000aUnregularized training gain: 2.1532\u000aIterations: 500\u000aTraining AUC: 0.9564\u000a#Test samples: 49\u000aTest gain: 1.848\u000aTest AUC: 0.9398\u000aAUC Standard Deviation: 0.0099\u000a#Background points: 5208\u000abio_12_etrs2_ras contribution: 0.6612\u000abio_15_etrs2_ras contribution: 1.1556\u000abio_18_etrs2_ras contribution: 7.7665\u000abio_4_etrs2_ras contribution: 0.5363\u000abio_8_etrs2_ras contribution: 0.5955\u000abld_m_sd1_1km_eu_ll contribution: 0.162\u000acecsum_m_sd1_1km_eu_ll contribution: 3.4397\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.2574\u000acrfvol_m_sd1_1km_eu_ll contribution: 1.2559\u000adist2water1km contribution: 0.0459\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.2008\u000apet_he_yr contribution: 63.9081\u000asltppt_m_sd1_1km_eu_ll contribution: 0.4298\u000asndppt_m_sd1_1km_eu_ll contribution: 1.7674\u000asolar_1km contribution: 16.818\u000abio_12_etrs2_ras permutation importance: 9.0678\u000abio_15_etrs2_ras permutation importance: 1.0445\u000abio_18_etrs2_ras permutation importance: 6.1868\u000abio_4_etrs2_ras permutation importance: 2.9482\u000abio_8_etrs2_ras permutation importance: 0.963\u000abld_m_sd1_1km_eu_ll permutation importance: 0.3476\u000acecsum_m_sd1_1km_eu_ll permutation importance: 4.1786\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 3.5105\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.2313\u000adist2water1km permutation importance: 0.4094\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 2.252\u000apet_he_yr permutation importance: 56.9659\u000asltppt_m_sd1_1km_eu_ll permutation importance: 1.278\u000asndppt_m_sd1_1km_eu_ll permutation importance: 5.6766\u000asolar_1km permutation importance: 3.9398\u000aTraining gain without bio_12_etrs2_ras: 1.9797\u000aTraining gain without bio_15_etrs2_ras: 1.9833\u000aTraining gain without bio_18_etrs2_ras: 1.9839\u000aTraining gain without bio_4_etrs2_ras: 1.9836\u000aTraining gain without bio_8_etrs2_ras: 1.9938\u000aTraining gain without bld_m_sd1_1km_eu_ll: 1.9945\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 1.9856\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 1.9781\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 1.9886\u000aTraining gain without dist2water1km: 1.9977\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.9948\u000aTraining gain without pet_he_yr: 1.8636\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 1.9923\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 1.9885\u000aTraining gain without solar_1km: 1.9873\u000aTraining gain with only bio_12_etrs2_ras: 1.0985\u000aTraining gain with only bio_15_etrs2_ras: 0.4773\u000aTraining gain with only bio_18_etrs2_ras: 1.1407\u000aTraining gain with only bio_4_etrs2_ras: 0.3458\u000aTraining gain with only bio_8_etrs2_ras: 0.6267\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.8155\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 1.0129\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.4152\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.7608\u000aTraining gain with only dist2water1km: 0.1826\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.7832\u000aTraining gain with only pet_he_yr: 1.6746\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.474\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.879\u000aTraining gain with only solar_1km: 1.1885\u000aTest gain without bio_12_etrs2_ras: 1.8094\u000aTest gain without bio_15_etrs2_ras: 1.8271\u000aTest gain without bio_18_etrs2_ras: 1.837\u000aTest gain without bio_4_etrs2_ras: 1.8238\u000aTest gain without bio_8_etrs2_ras: 1.8478\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.8473\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.8665\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.8348\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.8463\u000aTest gain without dist2water1km: 1.8485\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.8601\u000aTest gain without pet_he_yr: 1.8003\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.8503\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.9392\u000aTest gain without solar_1km: 1.8294\u000aTest gain with only bio_12_etrs2_ras: 1.2271\u000aTest gain with only bio_15_etrs2_ras: 0.5735\u000aTest gain with only bio_18_etrs2_ras: 1.0485\u000aTest gain with only bio_4_etrs2_ras: 0.2636\u000aTest gain with only bio_8_etrs2_ras: 0.744\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.8923\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 1.232\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.4895\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8688\u000aTest gain with only dist2water1km: 0.2424\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.8698\u000aTest gain with only pet_he_yr: 1.5794\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.4824\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.7106\u000aTest gain with only solar_1km: 1.3587\u000aAUC without bio_12_etrs2_ras: 0.9379\u000aAUC without bio_15_etrs2_ras: 0.9392\u000aAUC without bio_18_etrs2_ras: 0.9398\u000aAUC without bio_4_etrs2_ras: 0.9383\u000aAUC without bio_8_etrs2_ras: 0.9399\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9402\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9409\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9396\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9397\u000aAUC without dist2water1km: 0.9401\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9404\u000aAUC without pet_he_yr: 0.937\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9407\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9445\u000aAUC without solar_1km: 0.9384\u000aAUC with only bio_12_etrs2_ras: 0.8903\u000aAUC with only bio_15_etrs2_ras: 0.7946\u000aAUC with only bio_18_etrs2_ras: 0.8745\u000aAUC with only bio_4_etrs2_ras: 0.6871\u000aAUC with only bio_8_etrs2_ras: 0.8101\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.8209\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.8895\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.7415\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.8427\u000aAUC with only dist2water1km: 0.6933\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8379\u000aAUC with only pet_he_yr: 0.9222\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7564\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.8291\u000aAUC with only solar_1km: 0.9044\u000aEntropy: 6.5721\u000aPrevalence (average of logistic output over background sites): 0.0665\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0208\u000aFixed cumulative value 1 area: 0.236\u000aFixed cumulative value 1 training omission: 0.0067\u000aFixed cumulative value 1 test omission: 0.0204\u000aFixed cumulative value 1 binomial probability: 7.53E-35\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1294\u000aFixed cumulative value 5 area: 0.1517\u000aFixed cumulative value 5 training omission: 0.0178\u000aFixed cumulative value 5 test omission: 0.1224\u000aFixed cumulative value 5 binomial probability: 7.61E-46\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2127\u000aFixed cumulative value 10 area: 0.1187\u000aFixed cumulative value 10 training omission: 0.0622\u000aFixed cumulative value 10 test omission: 0.1633\u000aFixed cumulative value 10 binomial probability: 8.87E-55\u000aMinimum training presence cumulative threshold: 0.1255\u000aMinimum training presence logistic threshold: 0.0014\u000aMinimum training presence area: 0.4384\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.16E-15\u000a10 percentile training presence cumulative threshold: 15.1848\u000a10 percentile training presence logistic threshold: 0.2834\u000a10 percentile training presence area: 0.0966\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.2245\u000a10 percentile training presence binomial probability: 1.52E-58\u000aEqual training sensitivity and specificity cumulative threshold: 14.9092\u000aEqual training sensitivity and specificity logistic threshold: 0.2821\u000aEqual training sensitivity and specificity area: 0.0977\u000aEqual training sensitivity and specificity training omission: 0.0978\u000aEqual training sensitivity and specificity test omission: 0.2245\u000aEqual training sensitivity and specificity binomial probability: 9.25E-58\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.7873\u000aMaximum training sensitivity plus specificity logistic threshold: 0.161\u000aMaximum training sensitivity plus specificity area: 0.1379\u000aMaximum training sensitivity plus specificity training omission: 0.0244\u000aMaximum training sensitivity plus specificity test omission: 0.1224\u000aMaximum training sensitivity plus specificity binomial probability: 2.77E-51\u000aEqual test sensitivity and specificity cumulative threshold: 7.9141\u000aEqual test sensitivity and specificity logistic threshold: 0.1765\u000aEqual test sensitivity and specificity area: 0.1302\u000aEqual test sensitivity and specificity training omission: 0.0356\u000aEqual test sensitivity and specificity test omission: 0.1224\u000aEqual test sensitivity and specificity binomial probability: 8.37E-55\u000aMaximum test sensitivity plus specificity cumulative threshold: 1.4623\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0341\u000aMaximum test sensitivity plus specificity area: 0.2129\u000aMaximum test sensitivity plus specificity training omission: 0.0111\u000aMaximum test sensitivity plus specificity test omission: 0.0204\u000aMaximum test sensitivity plus specificity binomial probability: 1.47E-39\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3547\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0316\u000aBalance training omission, predicted area and threshold value area: 0.2174\u000aBalance training omission, predicted area and threshold value training omission: 0.0067\u000aBalance training omission, predicted area and threshold value test omission: 0.0204\u000aBalance training omission, predicted area and threshold value binomial probability: 1.40E-38\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.9218\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1614\u000aEquate entropy of thresholded and original distributions area: 0.1371\u000aEquate entropy of thresholded and original distributions training omission: 0.0267\u000aEquate entropy of thresholded and original distributions test omission: 0.1224\u000aEquate entropy of thresholded and original distributions binomial probability: 1.28E-51
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/209c0933-b2b2-458a-b414-9512b2c3ee42
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VTRUE
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Veea_r_3035_1_km_eunis-hab-f2-1_1940-2011_rev01
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VEUNIS habitat type F6.1b, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Predictions in the east Mediterranean area should be ignored.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_heath_bg_ed1.png
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V2019-06-04
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VHabitats and biotopes
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Vheathland|natural area|terrestrial ecosystem|tundra
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Vgrid
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 65\u000aRegularized training gain: 2.5296\u000aUnregularized training gain: 2.8127\u000aIterations: 500\u000aTraining AUC: 0.9756\u000a#Test samples: 7\u000aTest gain: 1.6606\u000aTest AUC: 0.9415\u000aAUC Standard Deviation: 0.0193\u000a#Background points: 5047\u000abio_12_etrs2_ras contribution: 0.8398\u000abio_15_etrs2_ras contribution: 13.5536\u000abio_18_etrs2_ras contribution: 49.1645\u000abio_4_etrs2_ras contribution: 2.1301\u000abio_8_etrs2_ras contribution: 2.3443\u000abld_m_sd1_1km_eu_ll contribution: 5.8124\u000acecsum_m_sd1_1km_eu_ll contribution: 0.14\u000aclyppt_m_sd1_1km_eu_ll contribution: 6.2395\u000acrfvol_m_sd1_1km_eu_ll contribution: 1.9674\u000adist2water1km contribution: 0.0443\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.076\u000apet_he_yr contribution: 16.0585\u000asltppt_m_sd1_1km_eu_ll contribution: 0.3234\u000asndppt_m_sd1_1km_eu_ll contribution: 0.4292\u000asolar_1km contribution: 0.8768\u000abio_12_etrs2_ras permutation importance: 3.5449\u000abio_15_etrs2_ras permutation importance: 5.8264\u000abio_18_etrs2_ras permutation importance: 75.1605\u000abio_4_etrs2_ras permutation importance: 3.813\u000abio_8_etrs2_ras permutation importance: 0.5864\u000abld_m_sd1_1km_eu_ll permutation importance: 4.6429\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.1711\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 2.6928\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.5463\u000adist2water1km permutation importance: 0.0366\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.0151\u000apet_he_yr permutation importance: 0.4666\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.5836\u000asolar_1km permutation importance: 0.9138\u000aTraining gain without bio_12_etrs2_ras: 2.4758\u000aTraining gain without bio_15_etrs2_ras: 2.3924\u000aTraining gain without bio_18_etrs2_ras: 2.4288\u000aTraining gain without bio_4_etrs2_ras: 2.4848\u000aTraining gain without bio_8_etrs2_ras: 2.5206\u000aTraining gain without bld_m_sd1_1km_eu_ll: 2.4941\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 2.5224\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 2.4834\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 2.491\u000aTraining gain without dist2water1km: 2.5283\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.5274\u000aTraining gain without pet_he_yr: 2.521\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 2.529\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 2.5081\u000aTraining gain without solar_1km: 2.5181\u000aTraining gain with only bio_12_etrs2_ras: 0.5483\u000aTraining gain with only bio_15_etrs2_ras: 0.8073\u000aTraining gain with only bio_18_etrs2_ras: 1.7667\u000aTraining gain with only bio_4_etrs2_ras: 0.1536\u000aTraining gain with only bio_8_etrs2_ras: 0.283\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 1.2828\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.4173\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.3192\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.2936\u000aTraining gain with only dist2water1km: 0.0018\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.4465\u000aTraining gain with only pet_he_yr: 1.5753\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2119\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.2175\u000aTraining gain with only solar_1km: 0.1541\u000aTest gain without bio_12_etrs2_ras: 1.9191\u000aTest gain without bio_15_etrs2_ras: 1.5168\u000aTest gain without bio_18_etrs2_ras: 1.8359\u000aTest gain without bio_4_etrs2_ras: 1.6436\u000aTest gain without bio_8_etrs2_ras: 1.6716\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.8202\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.6544\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.7754\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.6975\u000aTest gain without dist2water1km: 1.7033\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.7371\u000aTest gain without pet_he_yr: 1.6996\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.6819\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.7197\u000aTest gain without solar_1km: 1.6934\u000aTest gain with only bio_12_etrs2_ras: 1.003\u000aTest gain with only bio_15_etrs2_ras: 0.7312\u000aTest gain with only bio_18_etrs2_ras: 1.585\u000aTest gain with only bio_4_etrs2_ras: 0.2388\u000aTest gain with only bio_8_etrs2_ras: 0.4073\u000aTest gain with only bld_m_sd1_1km_eu_ll: 1.4061\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.5818\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.1176\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.0725\u000aTest gain with only dist2water1km: -0.0004\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.5066\u000aTest gain with only pet_he_yr: 1.3987\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.0995\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.0082\u000aTest gain with only solar_1km: 0.0367\u000aAUC without bio_12_etrs2_ras: 0.951\u000aAUC without bio_15_etrs2_ras: 0.9281\u000aAUC without bio_18_etrs2_ras: 0.9508\u000aAUC without bio_4_etrs2_ras: 0.9412\u000aAUC without bio_8_etrs2_ras: 0.9432\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9478\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9422\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9461\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9411\u000aAUC without dist2water1km: 0.9441\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9439\u000aAUC without pet_he_yr: 0.944\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9424\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9422\u000aAUC without solar_1km: 0.9422\u000aAUC with only bio_12_etrs2_ras: 0.8955\u000aAUC with only bio_15_etrs2_ras: 0.832\u000aAUC with only bio_18_etrs2_ras: 0.9267\u000aAUC with only bio_4_etrs2_ras: 0.6579\u000aAUC with only bio_8_etrs2_ras: 0.8095\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.9176\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.7989\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.5891\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6288\u000aAUC with only dist2water1km: 0.4837\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7726\u000aAUC with only pet_he_yr: 0.9075\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.557\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.5491\u000aAUC with only solar_1km: 0.5493\u000aEntropy: 6.0094\u000aPrevalence (average of logistic output over background sites): 0.0386\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.012\u000aFixed cumulative value 1 area: 0.2407\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 4.69E-05\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0647\u000aFixed cumulative value 5 area: 0.1328\u000aFixed cumulative value 5 training omission: 0.0308\u000aFixed cumulative value 5 test omission: 0.1429\u000aFixed cumulative value 5 binomial probability: 3.39E-05\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1269\u000aFixed cumulative value 10 area: 0.0933\u000aFixed cumulative value 10 training omission: 0.0615\u000aFixed cumulative value 10 test omission: 0.2857\u000aFixed cumulative value 10 binomial probability: 1.27E-04\u000aMinimum training presence cumulative threshold: 1.7247\u000aMinimum training presence logistic threshold: 0.0194\u000aMinimum training presence area: 0.2033\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.43E-05\u000a10 percentile training presence cumulative threshold: 15.3937\u000a10 percentile training presence logistic threshold: 0.1798\u000a10 percentile training presence area: 0.0684\u000a10 percentile training presence training omission: 0.0923\u000a10 percentile training presence test omission: 0.2857\u000a10 percentile training presence binomial probability: 2.79E-05\u000aEqual training sensitivity and specificity cumulative threshold: 13.2309\u000aEqual training sensitivity and specificity logistic threshold: 0.1564\u000aEqual training sensitivity and specificity area: 0.0771\u000aEqual training sensitivity and specificity training omission: 0.0769\u000aEqual training sensitivity and specificity test omission: 0.2857\u000aEqual training sensitivity and specificity binomial probability: 5.00E-05\u000aMaximum training sensitivity plus specificity cumulative threshold: 11.6114\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1352\u000aMaximum training sensitivity plus specificity area: 0.0846\u000aMaximum training sensitivity plus specificity training omission: 0.0615\u000aMaximum training sensitivity plus specificity test omission: 0.2857\u000aMaximum training sensitivity plus specificity binomial probability: 7.87E-05\u000aEqual test sensitivity and specificity cumulative threshold: 4.2418\u000aEqual test sensitivity and specificity logistic threshold: 0.052\u000aEqual test sensitivity and specificity area: 0.1429\u000aEqual test sensitivity and specificity training omission: 0.0308\u000aEqual test sensitivity and specificity test omission: 0.1429\u000aEqual test sensitivity and specificity binomial probability: 5.22E-05\u000aMaximum test sensitivity plus specificity cumulative threshold: 4.0498\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0507\u000aMaximum test sensitivity plus specificity area: 0.1456\u000aMaximum test sensitivity plus specificity training omission: 0.0308\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.39E-06\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.7247\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0194\u000aBalance training omission, predicted area and threshold value area: 0.2033\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 1.43E-05\u000aEquate entropy of thresholded and original distributions cumulative threshold: 12.4495\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1453\u000aEquate entropy of thresholded and original distributions area: 0.0806\u000aEquate entropy of thresholded and original distributions training omission: 0.0769\u000aEquate entropy of thresholded and original distributions test omission: 0.2857\u000aEquate entropy of thresholded and original distributions binomial probability: 6.23E-05
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c8227af-07fb-472f-ab49-593c611727be
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V1940
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V2011
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VTRUE
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p77913
sbg8
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VFALSE
p77916
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VEuropean Environment Agency
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VFALSE
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Veea_r_3035_1_km_eunis-hab-f6-1b_1940-2011_rev01
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V4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d
p77933
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VEUNIS habitat type F7.3, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in the Iberian Penissula should be ignored.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_random_bg_ed1.png
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VEPSG:3035
p77960
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V2019-06-04
p77963
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VHabitats and biotopes
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Vheathland|natural area|terrestrial ecosystem|tundra
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Vgrid
p77972
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VGTiff
p77975
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V1000m
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 54\u000aRegularized training gain: 3.6547\u000aUnregularized training gain: 3.9416\u000aIterations: 500\u000aTraining AUC: 0.9935\u000a#Test samples: 5\u000aTest gain: 3.456\u000aTest AUC: 0.9902\u000aAUC Standard Deviation: 0.002\u000a#Background points: 5054\u000abio_12_etrs2_ras contribution: 0\u000abio_15_etrs2_ras contribution: 49.1531\u000abio_18_etrs2_ras contribution: 23.7552\u000abio_4_etrs2_ras contribution: 13.0809\u000abio_8_etrs2_ras contribution: 0.1344\u000abld_m_sd1_1km_eu_ll contribution: 0.1621\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0163\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.3448\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.2328\u000adist2water1km contribution: 0.0032\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.0544\u000apet_he_yr contribution: 10.193\u000aphihox_m_sd1_1km_eu_ll contribution: 0.6572\u000asltppt_m_sd1_1km_eu_ll contribution: 0.0147\u000asndppt_m_sd1_1km_eu_ll contribution: 0.0856\u000asolar_1km contribution: 0.1124\u000abio_12_etrs2_ras permutation importance: 0\u000abio_15_etrs2_ras permutation importance: 66.3024\u000abio_18_etrs2_ras permutation importance: 0.1262\u000abio_4_etrs2_ras permutation importance: 23.4347\u000abio_8_etrs2_ras permutation importance: 0.3119\u000abld_m_sd1_1km_eu_ll permutation importance: 0.1595\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.0405\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.0262\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.6285\u000adist2water1km permutation importance: 0\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 1.2308\u000apet_he_yr permutation importance: 2.7829\u000aphihox_m_sd1_1km_eu_ll permutation importance: 3.6757\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.8761\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.0595\u000asolar_1km permutation importance: 0.3452\u000aEntropy: 4.8843\u000aPrevalence (average of logistic output over background sites): 0.0121\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0036\u000aFixed cumulative value 1 area: 0.1173\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.22E-05\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0458\u000aFixed cumulative value 5 area: 0.0386\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 8.55E-08\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1365\u000aFixed cumulative value 10 area: 0.0239\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 7.87E-09\u000aMinimum training presence cumulative threshold: 12.7992\u000aMinimum training presence logistic threshold: 0.1708\u000aMinimum training presence area: 0.0198\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.03E-09\u000a10 percentile training presence cumulative threshold: 19.3516\u000a10 percentile training presence logistic threshold: 0.2726\u000a10 percentile training presence area: 0.014\u000a10 percentile training presence training omission: 0.0926\u000a10 percentile training presence test omission: 0.2\u000a10 percentile training presence binomial probability: 1.93E-07\u000aEqual training sensitivity and specificity cumulative threshold: 13.1147\u000aEqual training sensitivity and specificity logistic threshold: 0.1738\u000aEqual training sensitivity and specificity area: 0.0194\u000aEqual training sensitivity and specificity training omission: 0.0185\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 2.74E-09\u000aMaximum training sensitivity plus specificity cumulative threshold: 12.7992\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1708\u000aMaximum training sensitivity plus specificity area: 0.0198\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 3.03E-09\u000aEqual test sensitivity and specificity cumulative threshold: 15.5867\u000aEqual test sensitivity and specificity logistic threshold: 0.2255\u000aEqual test sensitivity and specificity area: 0.0168\u000aEqual test sensitivity and specificity training omission: 0.037\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 1.35E-09\u000aMaximum test sensitivity plus specificity cumulative threshold: 15.5867\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2255\u000aMaximum test sensitivity plus specificity area: 0.0168\u000aMaximum test sensitivity plus specificity training omission: 0.037\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.35E-09\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.0977\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0103\u000aBalance training omission, predicted area and threshold value area: 0.073\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.08E-06\u000aEquate entropy of thresholded and original distributions cumulative threshold: 8.8366\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1086\u000aEquate entropy of thresholded and original distributions area: 0.0261\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 1.21E-08
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d
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V1940
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VFALSE
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Veea_r_3035_1_km_eunis-hab-f7-3_1940-2011_rev01
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VEUNIS habitat type F2-3 distribution based on vegetation plot data - version 1, June 2016
p78022
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78028
sbNg8
(g9
g10
NtRp78029
(dp78030
g13
Nsg14
Nsg15
VFALSE
p78031
sbNNNg8
(g9
g10
NtRp78032
(dp78033
g13
Nsg14
Nsg15
VFALSE
p78034
sbNNg8
(g9
g10
NtRp78035
(dp78036
g13
Nsg14
Nsg15
VFALSE
p78037
sbNNg8
(g9
g10
NtRp78038
(dp78039
g13
Nsg14
Nsg15
VFALSE
p78040
sbNg8
(g9
g10
NtRp78041
(dp78042
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_dist_edt1.png
p78043
sbg8
(g9
g10
NtRp78044
(dp78045
g13
Nsg14
Nsg15
VEPSG:3035
p78046
sbg8
(g9
g10
NtRp78047
(dp78048
g13
Nsg14
Nsg15
V2019-06-04
p78049
sbNg8
(g9
g10
NtRp78050
(dp78051
g13
Nsg14
Nsg15
VHabitats and biotopes
p78052
sbg8
(g9
g10
NtRp78053
(dp78054
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p78055
sbg8
(g9
g10
NtRp78056
(dp78057
g13
Nsg14
Nsg15
Vvector
p78058
sbg8
(g9
g10
NtRp78059
(dp78060
g13
Nsg14
Nsg15
VSHP
p78061
sbNg8
(g9
g10
NtRp78062
(dp78063
g13
Nsg14
Nsg15
V1:10000000
p78064
sbNg8
(g9
g10
NtRp78065
(dp78066
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p78067
sbg8
(g9
g10
NtRp78068
(dp78069
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e8b6972-c8c8-4472-b9fe-e110f3fd9454
p78070
sbg8
(g9
g10
NtRp78071
(dp78072
g13
Nsg14
g74
sg15
V1940
p78073
sbg8
(g9
g10
NtRp78074
(dp78075
g13
Nsg14
g74
sg15
V2011
p78076
sbg8
(g9
g10
NtRp78077
(dp78078
g13
Nsg14
Nsg15
VTRUE
p78079
sbg8
(g9
g10
NtRp78080
(dp78081
g13
Nsg14
Nsg15
VEurope
p78082
sbg8
(g9
g10
NtRp78083
(dp78084
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78085
sbg8
(g9
g10
NtRp78086
(dp78087
g13
Nsg14
Nsg15
VFALSE
p78088
sbg8
(g9
g10
NtRp78089
(dp78090
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78091
sbg8
(g9
g10
NtRp78092
(dp78093
g13
Nsg14
Nsg15
VFALSE
p78094
sbNNNNNNNg8
(g9
g10
NtRp78095
(dp78096
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78097
(dp78098
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78099
(dp78100
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f2-3_1940-2011_rev01
p78101
sbNNtp78102
a(g8
(g9
g10
NtRp78103
(dp78104
g13
Nsg14
Nsg15
V215c61aa-8148-43d8-be5b-a8033855b936
p78105
sbNg8
(g9
g10
NtRp78106
(dp78107
g13
Nsg14
Nsg15
VEUNIS habitat type G1.7 distribution based on vegetation plot data - version 1, Jan. 2015
p78108
sbNNNNNg8
(g9
g10
NtRp78109
(dp78110
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p78111
sbg8
(g23
g10
NtRp78112
(dp78113
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78114
sbNg8
(g9
g10
NtRp78115
(dp78116
g13
Nsg14
Nsg15
VFALSE
p78117
sbNNNg8
(g9
g10
NtRp78118
(dp78119
g13
Nsg14
Nsg15
VFALSE
p78120
sbNNg8
(g9
g10
NtRp78121
(dp78122
g13
Nsg14
Nsg15
VFALSE
p78123
sbNNg8
(g9
g10
NtRp78124
(dp78125
g13
Nsg14
Nsg15
VFALSE
p78126
sbNg8
(g9
g10
NtRp78127
(dp78128
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-7_dist_edt1.png
p78129
sbg8
(g9
g10
NtRp78130
(dp78131
g13
Nsg14
Nsg15
VEPSG:3035
p78132
sbg8
(g9
g10
NtRp78133
(dp78134
g13
Nsg14
Nsg15
V2019-06-04
p78135
sbNg8
(g9
g10
NtRp78136
(dp78137
g13
Nsg14
Nsg15
VHabitats and biotopes
p78138
sbg8
(g9
g10
NtRp78139
(dp78140
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p78141
sbg8
(g9
g10
NtRp78142
(dp78143
g13
Nsg14
Nsg15
Vvector
p78144
sbg8
(g9
g10
NtRp78145
(dp78146
g13
Nsg14
Nsg15
VSHP
p78147
sbNg8
(g9
g10
NtRp78148
(dp78149
g13
Nsg14
Nsg15
V1:10000000
p78150
sbNg8
(g9
g10
NtRp78151
(dp78152
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p78153
sbg8
(g9
g10
NtRp78154
(dp78155
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/215c61aa-8148-43d8-be5b-a8033855b936
p78156
sbg8
(g9
g10
NtRp78157
(dp78158
g13
Nsg14
g74
sg15
V1940
p78159
sbg8
(g9
g10
NtRp78160
(dp78161
g13
Nsg14
g74
sg15
V2011
p78162
sbg8
(g9
g10
NtRp78163
(dp78164
g13
Nsg14
Nsg15
VTRUE
p78165
sbg8
(g9
g10
NtRp78166
(dp78167
g13
Nsg14
Nsg15
VEurope
p78168
sbg8
(g9
g10
NtRp78169
(dp78170
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78171
sbg8
(g9
g10
NtRp78172
(dp78173
g13
Nsg14
Nsg15
VFALSE
p78174
sbg8
(g9
g10
NtRp78175
(dp78176
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78177
sbg8
(g9
g10
NtRp78178
(dp78179
g13
Nsg14
Nsg15
VFALSE
p78180
sbNNNNNNNg8
(g9
g10
NtRp78181
(dp78182
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78183
(dp78184
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78185
(dp78186
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-7_1940-2011_rev01
p78187
sbNNtp78188
a(g8
(g9
g10
NtRp78189
(dp78190
g13
Nsg14
Nsg15
V0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c
p78191
sbNg8
(g9
g10
NtRp78192
(dp78193
g13
Nsg14
Nsg15
VEUNIS habitat type F9.1b, predicted habitat suitability - version 1, June 2016
p78194
sbNNNNNg8
(g9
g10
NtRp78195
(dp78196
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.
p78197
sbg8
(g23
g10
NtRp78198
(dp78199
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78200
sbNg8
(g9
g10
NtRp78201
(dp78202
g13
Nsg14
Nsg15
VFALSE
p78203
sbNNNg8
(g9
g10
NtRp78204
(dp78205
g13
Nsg14
Nsg15
VFALSE
p78206
sbNNg8
(g9
g10
NtRp78207
(dp78208
g13
Nsg14
Nsg15
VFALSE
p78209
sbNNg8
(g9
g10
NtRp78210
(dp78211
g13
Nsg14
Nsg15
VFALSE
p78212
sbNg8
(g9
g10
NtRp78213
(dp78214
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1b_random_bg_ed1.png
p78215
sbg8
(g9
g10
NtRp78216
(dp78217
g13
Nsg14
Nsg15
VEPSG:3035
p78218
sbg8
(g9
g10
NtRp78219
(dp78220
g13
Nsg14
Nsg15
V2019-06-04
p78221
sbNg8
(g9
g10
NtRp78222
(dp78223
g13
Nsg14
Nsg15
VHabitats and biotopes
p78224
sbg8
(g9
g10
NtRp78225
(dp78226
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p78227
sbg8
(g9
g10
NtRp78228
(dp78229
g13
Nsg14
Nsg15
Vgrid
p78230
sbg8
(g9
g10
NtRp78231
(dp78232
g13
Nsg14
Nsg15
VGTiff
p78233
sbNg8
(g9
g10
NtRp78234
(dp78235
g13
Nsg14
Nsg15
V1000m
p78236
sbNg8
(g9
g10
NtRp78237
(dp78238
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 484\u000aRegularized training gain: 1.4009\u000aUnregularized training gain: 1.5753\u000aIterations: 500\u000aTraining AUC: 0.9273\u000a#Test samples: 53\u000aTest gain: 1.6385\u000aTest AUC: 0.9289\u000aAUC Standard Deviation: 0.012\u000a#Background points: 5484\u000abio_12_etrs2_ras contribution: 0.8483\u000abio_15_etrs2_ras contribution: 0.336\u000abio_18_etrs2_ras contribution: 18.0478\u000abio_4_etrs2_ras contribution: 35.7082\u000abio_8_etrs2_ras contribution: 0.4779\u000abld_m_sd1_1km_eu_ll contribution: 12.7256\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3013\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.1545\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.3478\u000adist2water1km contribution: 16.3982\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0\u000apet_he_yr contribution: 4.7908\u000aphihox_m_sd1_1km_eu_ll contribution: 2.9534\u000asltppt_m_sd1_1km_eu_ll contribution: 1.3926\u000asndppt_m_sd1_1km_eu_ll contribution: 0.6835\u000asolar_1km contribution: 4.8341\u000abio_12_etrs2_ras permutation importance: 0.0724\u000abio_15_etrs2_ras permutation importance: 0.593\u000abio_18_etrs2_ras permutation importance: 24.5289\u000abio_4_etrs2_ras permutation importance: 41.2521\u000abio_8_etrs2_ras permutation importance: 0.9112\u000abld_m_sd1_1km_eu_ll permutation importance: 8.3914\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.249\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.5177\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.7012\u000adist2water1km permutation importance: 4.949\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0\u000apet_he_yr permutation importance: 5.7634\u000aphihox_m_sd1_1km_eu_ll permutation importance: 3.5251\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.378\u000asndppt_m_sd1_1km_eu_ll permutation importance: 3.2679\u000asolar_1km permutation importance: 3.8996\u000aEntropy: 7.2118\u000aPrevalence (average of logistic output over background sites): 0.1205\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0323\u000aFixed cumulative value 1 area: 0.4004\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.59E-19\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1365\u000aFixed cumulative value 5 area: 0.2903\u000aFixed cumulative value 5 training omission: 0.0145\u000aFixed cumulative value 5 test omission: 0.0377\u000aFixed cumulative value 5 binomial probability: 2.20E-27\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2026\u000aFixed cumulative value 10 area: 0.2294\u000aFixed cumulative value 10 training omission: 0.0413\u000aFixed cumulative value 10 test omission: 0.0377\u000aFixed cumulative value 10 binomial probability: 3.36E-37\u000aMinimum training presence cumulative threshold: 1.2939\u000aMinimum training presence logistic threshold: 0.0454\u000aMinimum training presence area: 0.3822\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0189\u000aMinimum training presence binomial probability: 1.44E-19\u000a10 percentile training presence cumulative threshold: 19.7143\u000a10 percentile training presence logistic threshold: 0.3065\u000a10 percentile training presence area: 0.1583\u000a10 percentile training presence training omission: 0.0992\u000a10 percentile training presence test omission: 0.1321\u000a10 percentile training presence binomial probability: 8.80E-46\u000aEqual training sensitivity and specificity cumulative threshold: 23.7832\u000aEqual training sensitivity and specificity logistic threshold: 0.3461\u000aEqual training sensitivity and specificity area: 0.1377\u000aEqual training sensitivity and specificity training omission: 0.1384\u000aEqual training sensitivity and specificity test omission: 0.1321\u000aEqual training sensitivity and specificity binomial probability: 5.19E-54\u000aMaximum training sensitivity plus specificity cumulative threshold: 14.3851\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2532\u000aMaximum training sensitivity plus specificity area: 0.1926\u000aMaximum training sensitivity plus specificity training omission: 0.064\u000aMaximum training sensitivity plus specificity test omission: 0.0943\u000aMaximum training sensitivity plus specificity binomial probability: 6.90E-40\u000aEqual test sensitivity and specificity cumulative threshold: 24.9737\u000aEqual test sensitivity and specificity logistic threshold: 0.3543\u000aEqual test sensitivity and specificity area: 0.132\u000aEqual test sensitivity and specificity training omission: 0.1467\u000aEqual test sensitivity and specificity test omission: 0.1321\u000aEqual test sensitivity and specificity binomial probability: 1.02E-56\u000aMaximum test sensitivity plus specificity cumulative threshold: 25.8445\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3651\u000aMaximum test sensitivity plus specificity area: 0.1282\u000aMaximum test sensitivity plus specificity training omission: 0.1591\u000aMaximum test sensitivity plus specificity test omission: 0.1321\u000aMaximum test sensitivity plus specificity binomial probability: 1.10E-58\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.2939\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0454\u000aBalance training omission, predicted area and threshold value area: 0.3822\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0.0189\u000aBalance training omission, predicted area and threshold value binomial probability: 1.44E-19\u000aEquate entropy of thresholded and original distributions cumulative threshold: 8.309\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1809\u000aEquate entropy of thresholded and original distributions area: 0.2471\u000aEquate entropy of thresholded and original distributions training omission: 0.031\u000aEquate entropy of thresholded and original distributions test omission: 0.0377\u000aEquate entropy of thresholded and original distributions binomial probability: 7.47E-34
p78239
sbg8
(g9
g10
NtRp78240
(dp78241
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c
p78242
sbg8
(g9
g10
NtRp78243
(dp78244
g13
Nsg14
g74
sg15
V1940
p78245
sbg8
(g9
g10
NtRp78246
(dp78247
g13
Nsg14
g74
sg15
V2011
p78248
sbg8
(g9
g10
NtRp78249
(dp78250
g13
Nsg14
Nsg15
VTRUE
p78251
sbg8
(g9
g10
NtRp78252
(dp78253
g13
Nsg14
Nsg15
VEurope
p78254
sbg8
(g9
g10
NtRp78255
(dp78256
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78257
sbg8
(g9
g10
NtRp78258
(dp78259
g13
Nsg14
Nsg15
VFALSE
p78260
sbg8
(g9
g10
NtRp78261
(dp78262
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78263
sbg8
(g9
g10
NtRp78264
(dp78265
g13
Nsg14
Nsg15
VFALSE
p78266
sbNNNNNNNg8
(g9
g10
NtRp78267
(dp78268
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78269
(dp78270
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78271
(dp78272
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f9-1b_1940-2011_rev01
p78273
sbNNtp78274
a(g8
(g9
g10
NtRp78275
(dp78276
g13
Nsg14
Nsg15
V6174a354-c2a4-4b44-b029-d26df6044058
p78277
sbNg8
(g9
g10
NtRp78278
(dp78279
g13
Nsg14
Nsg15
VEUNIS habitat type F6.1a, predicted habitat suitability - version 1, June 2016
p78280
sbNNNNNg8
(g9
g10
NtRp78281
(dp78282
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 755\u000aRegularized training gain: 1.2949\u000aUnregularized training gain: 1.3929\u000aIterations: 500\u000aTraining AUC: 0.9066\u000a#Test samples: 83\u000aTest gain: 1.2734\u000aTest AUC: 0.8951\u000aAUC Standard Deviation: 0.0105\u000a#Background points: 5543\u000abio_12_etrs2_ras contribution: 0.2318\u000abio_15_etrs2_ras contribution: 6.7018\u000abio_18_etrs2_ras contribution: 4.066\u000abio_4_etrs2_ras contribution: 13.2573\u000abio_8_etrs2_ras contribution: 0.3284\u000abld_m_sd1_1km_eu_ll contribution: 3.7736\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3458\u000aclyppt_m_sd1_1km_eu_ll contribution: 8.9195\u000acrfvol_m_sd1_1km_eu_ll contribution: 6.6706\u000adist2water1km contribution: 0.4612\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.115\u000apet_he_yr contribution: 40.1732\u000asltppt_m_sd1_1km_eu_ll contribution: 0.7076\u000asndppt_m_sd1_1km_eu_ll contribution: 14.1712\u000asolar_1km contribution: 0.077\u000abio_12_etrs2_ras permutation importance: 0.7942\u000abio_15_etrs2_ras permutation importance: 13.2695\u000abio_18_etrs2_ras permutation importance: 10.9101\u000abio_4_etrs2_ras permutation importance: 14.5952\u000abio_8_etrs2_ras permutation importance: 1.2088\u000abld_m_sd1_1km_eu_ll permutation importance: 7.9741\u000acecsum_m_sd1_1km_eu_ll permutation importance: 3.1065\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 4.0297\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 10.5767\u000adist2water1km permutation importance: 0.745\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.2357\u000apet_he_yr permutation importance: 18.8432\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.7303\u000asndppt_m_sd1_1km_eu_ll permutation importance: 12.4635\u000asolar_1km permutation importance: 0.5175\u000aTraining gain without bio_12_etrs2_ras: 1.2928\u000aTraining gain without bio_15_etrs2_ras: 1.2621\u000aTraining gain without bio_18_etrs2_ras: 1.2884\u000aTraining gain without bio_4_etrs2_ras: 1.2594\u000aTraining gain without bio_8_etrs2_ras: 1.2935\u000aTraining gain without bld_m_sd1_1km_eu_ll: 1.2758\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 1.292\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 1.2902\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 1.2733\u000aTraining gain without dist2water1km: 1.2911\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.294\u000aTraining gain without pet_he_yr: 1.2679\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 1.2942\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 1.2835\u000aTraining gain without solar_1km: 1.2952\u000aTraining gain with only bio_12_etrs2_ras: 0.2033\u000aTraining gain with only bio_15_etrs2_ras: 0.1337\u000aTraining gain with only bio_18_etrs2_ras: 0.5914\u000aTraining gain with only bio_4_etrs2_ras: 0.3227\u000aTraining gain with only bio_8_etrs2_ras: 0.1846\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.4475\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.3033\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.6491\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.349\u000aTraining gain with only dist2water1km: 0.0159\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1721\u000aTraining gain with only pet_he_yr: 0.7536\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.3141\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.6153\u000aTraining gain with only solar_1km: 0.2031\u000aTest gain without bio_12_etrs2_ras: 1.2825\u000aTest gain without bio_15_etrs2_ras: 1.255\u000aTest gain without bio_18_etrs2_ras: 1.2774\u000aTest gain without bio_4_etrs2_ras: 1.2277\u000aTest gain without bio_8_etrs2_ras: 1.2675\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.2571\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.2775\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.2518\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.2364\u000aTest gain without dist2water1km: 1.2812\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.2564\u000aTest gain without pet_he_yr: 1.2776\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.271\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.2635\u000aTest gain without solar_1km: 1.2776\u000aTest gain with only bio_12_etrs2_ras: 0.1371\u000aTest gain with only bio_15_etrs2_ras: 0.0859\u000aTest gain with only bio_18_etrs2_ras: 0.4889\u000aTest gain with only bio_4_etrs2_ras: 0.3427\u000aTest gain with only bio_8_etrs2_ras: 0.2839\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.378\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.263\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7177\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.4066\u000aTest gain with only dist2water1km: 0.0075\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0822\u000aTest gain with only pet_he_yr: 0.6418\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3907\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.6685\u000aTest gain with only solar_1km: 0.088\u000aAUC without bio_12_etrs2_ras: 0.896\u000aAUC without bio_15_etrs2_ras: 0.8933\u000aAUC without bio_18_etrs2_ras: 0.895\u000aAUC without bio_4_etrs2_ras: 0.8904\u000aAUC without bio_8_etrs2_ras: 0.894\u000aAUC without bld_m_sd1_1km_eu_ll: 0.8931\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.8955\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.8925\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.8915\u000aAUC without dist2water1km: 0.8957\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.8932\u000aAUC without pet_he_yr: 0.8949\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.8947\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.8939\u000aAUC without solar_1km: 0.8957\u000aAUC with only bio_12_etrs2_ras: 0.6478\u000aAUC with only bio_15_etrs2_ras: 0.6199\u000aAUC with only bio_18_etrs2_ras: 0.7713\u000aAUC with only bio_4_etrs2_ras: 0.6868\u000aAUC with only bio_8_etrs2_ras: 0.7145\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.7456\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.689\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.8055\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.7155\u000aAUC with only dist2water1km: 0.5635\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6267\u000aAUC with only pet_he_yr: 0.7974\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7242\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.804\u000aAUC with only solar_1km: 0.6293\u000aEntropy: 7.3276\u000aPrevalence (average of logistic output over background sites): 0.1336\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0309\u000aFixed cumulative value 1 area: 0.3877\u000aFixed cumulative value 1 training omission: 0.0066\u000aFixed cumulative value 1 test omission: 0.012\u000aFixed cumulative value 1 binomial probability: 1.56E-29\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1715\u000aFixed cumulative value 5 area: 0.2652\u000aFixed cumulative value 5 training omission: 0.0252\u000aFixed cumulative value 5 test omission: 0.0482\u000aFixed cumulative value 5 binomial probability: 7.00E-46\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2808\u000aFixed cumulative value 10 area: 0.2185\u000aFixed cumulative value 10 training omission: 0.045\u000aFixed cumulative value 10 test omission: 0.0843\u000aFixed cumulative value 10 binomial probability: 1.27E-53\u000aMinimum training presence cumulative threshold: 0.0978\u000aMinimum training presence logistic threshold: 0.0033\u000aMinimum training presence area: 0.5786\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.76E-15\u000a10 percentile training presence cumulative threshold: 15.2489\u000a10 percentile training presence logistic threshold: 0.3627\u000a10 percentile training presence area: 0.1887\u000a10 percentile training presence training omission: 0.0993\u000a10 percentile training presence test omission: 0.0964\u000a10 percentile training presence binomial probability: 1.62E-62\u000aEqual training sensitivity and specificity cumulative threshold: 21.0523\u000aEqual training sensitivity and specificity logistic threshold: 0.4111\u000aEqual training sensitivity and specificity area: 0.1636\u000aEqual training sensitivity and specificity training omission: 0.1642\u000aEqual training sensitivity and specificity test omission: 0.1928\u000aEqual training sensitivity and specificity binomial probability: 7.05E-57\u000aMaximum training sensitivity plus specificity cumulative threshold: 10.1536\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2825\u000aMaximum training sensitivity plus specificity area: 0.2174\u000aMaximum training sensitivity plus specificity training omission: 0.045\u000aMaximum training sensitivity plus specificity test omission: 0.0843\u000aMaximum training sensitivity plus specificity binomial probability: 5.73E-54\u000aEqual test sensitivity and specificity cumulative threshold: 19.4655\u000aEqual test sensitivity and specificity logistic threshold: 0.3992\u000aEqual test sensitivity and specificity area: 0.1699\u000aEqual test sensitivity and specificity training omission: 0.143\u000aEqual test sensitivity and specificity test omission: 0.1687\u000aEqual test sensitivity and specificity binomial probability: 3.20E-58\u000aMaximum test sensitivity plus specificity cumulative threshold: 15.6974\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3687\u000aMaximum test sensitivity plus specificity area: 0.1865\u000aMaximum test sensitivity plus specificity training omission: 0.102\u000aMaximum test sensitivity plus specificity test omission: 0.0964\u000aMaximum test sensitivity plus specificity binomial probability: 2.00E-63\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.0331\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.067\u000aBalance training omission, predicted area and threshold value area: 0.3294\u000aBalance training omission, predicted area and threshold value training omission: 0.0132\u000aBalance training omission, predicted area and threshold value test omission: 0.0241\u000aBalance training omission, predicted area and threshold value binomial probability: 2.52E-36\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.3713\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1483\u000aEquate entropy of thresholded and original distributions area: 0.2744\u000aEquate entropy of thresholded and original distributions training omission: 0.0199\u000aEquate entropy of thresholded and original distributions test omission: 0.0482\u000aEquate entropy of thresholded and original distributions binomial probability: 8.30E-44
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. 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It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 2368\u000aRegularized training gain: 0.9878\u000aUnregularized training gain: 1.0481\u000aIterations: 500\u000aTraining AUC: 0.8628\u000a#Test samples: 263\u000aTest gain: 1.0651\u000aTest AUC: 0.863\u000aAUC Standard Deviation: 0.0064\u000a#Background points: 12363\u000abio_12_etrs2_ras contribution: 0.1128\u000abio_15_etrs2_ras contribution: 1.4857\u000abio_18_etrs2_ras contribution: 21.5749\u000abio_4_etrs2_ras contribution: 58.255\u000abio_8_etrs2_ras contribution: 0.2729\u000adist2water1km contribution: 0.0045\u000apet_he_yr contribution: 14.6326\u000asoil_ph contribution: 0.7197\u000asolar_1km contribution: 2.9419\u000abio_12_etrs2_ras permutation importance: 0.9595\u000abio_15_etrs2_ras permutation importance: 0.9637\u000abio_18_etrs2_ras permutation importance: 16.9937\u000abio_4_etrs2_ras permutation importance: 59.872\u000abio_8_etrs2_ras permutation importance: 0.8316\u000adist2water1km permutation importance: 0.0386\u000apet_he_yr permutation importance: 16.1328\u000asoil_ph permutation importance: 0.6691\u000asolar_1km permutation importance: 3.539\u000aEntropy: 8.4372\u000aPrevalence (average of logistic output over background sites): 0.1835\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0631\u000aFixed cumulative value 1 area: 0.4362\u000aFixed cumulative value 1 training omission: 0.0042\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2271\u000aFixed cumulative value 5 area: 0.35\u000aFixed cumulative value 5 training omission: 0.0236\u000aFixed cumulative value 5 test omission: 0.0114\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3212\u000aFixed cumulative value 10 area: 0.3014\u000aFixed cumulative value 10 training omission: 0.0714\u000aFixed cumulative value 10 test omission: 0.0646\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0968\u000aMinimum training presence logistic threshold: 0.0029\u000aMinimum training presence area: 0.6497\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.34E-33\u000a10 percentile training presence cumulative threshold: 12.5828\u000a10 percentile training presence logistic threshold: 0.3507\u000a10 percentile training presence area: 0.2823\u000a10 percentile training presence training omission: 0.0997\u000a10 percentile training presence test omission: 0.0989\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 24.4193\u000aEqual training sensitivity and specificity logistic threshold: 0.4588\u000aEqual training sensitivity and specificity area: 0.2185\u000aEqual training sensitivity and specificity training omission: 0.2183\u000aEqual training sensitivity and specificity test omission: 0.2395\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.0176\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2921\u000aMaximum training sensitivity plus specificity area: 0.3181\u000aMaximum training sensitivity plus specificity training omission: 0.0494\u000aMaximum training sensitivity plus specificity test omission: 0.0342\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 23.1332\u000aEqual test sensitivity and specificity logistic threshold: 0.4513\u000aEqual test sensitivity and specificity area: 0.2243\u000aEqual test sensitivity and specificity training omission: 0.2073\u000aEqual test sensitivity and specificity test omission: 0.2243\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 7.9676\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2914\u000aMaximum test sensitivity plus specificity area: 0.3186\u000aMaximum test sensitivity plus specificity training omission: 0.0494\u000aMaximum test sensitivity plus specificity test omission: 0.0304\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.2849\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0851\u000aBalance training omission, predicted area and threshold value area: 0.423\u000aBalance training omission, predicted area and threshold value training omission: 0.0051\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 3.3697\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1877\u000aEquate entropy of thresholded and original distributions area: 0.3733\u000aEquate entropy of thresholded and original distributions training omission: 0.0139\u000aEquate entropy of thresholded and original distributions test omission: 0.0038\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0347a86-738d-40ee-8358-8a564c986dca
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V1940
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V2011
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VTRUE
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VFALSE
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VEuropean Environment Agency
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VFALSE
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Veea_r_3035_1_km_eunis-hab-g1-8_1940-2011_rev01
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V9312f79c-94fe-4d15-90c2-8371fb28826f
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VEUNIS habitat type F9.3, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_heath_bg_ed1.png
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VEPSG:3035
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V2019-06-04
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VHabitats and biotopes
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Vheathland|natural area|terrestrial ecosystem|tundra
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Vgrid
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VGTiff
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V1000m
p78494
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 198\u000aRegularized training gain: 2.3239\u000aUnregularized training gain: 2.5425\u000aIterations: 500\u000aTraining AUC: 0.972\u000a#Test samples: 22\u000aTest gain: 2.3505\u000aTest AUC: 0.9649\u000aAUC Standard Deviation: 0.0068\u000a#Background points: 5140\u000abio_12_etrs2_ras contribution: 0.4784\u000abio_15_etrs2_ras contribution: 3.1528\u000abio_18_etrs2_ras contribution: 38.0612\u000abio_4_etrs2_ras contribution: 0.1564\u000abio_8_etrs2_ras contribution: 0.8456\u000abld_m_sd1_1km_eu_ll contribution: 35.2455\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0865\u000aclyppt_m_sd1_1km_eu_ll contribution: 7.2877\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.5201\u000adist2water1km contribution: 0.1944\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.29\u000apet_he_yr contribution: 7.2959\u000asltppt_m_sd1_1km_eu_ll contribution: 2.3526\u000asndppt_m_sd1_1km_eu_ll contribution: 0.8838\u000asolar_1km contribution: 3.1492\u000abio_12_etrs2_ras permutation importance: 0.0878\u000abio_15_etrs2_ras permutation importance: 6.5436\u000abio_18_etrs2_ras permutation importance: 59.4637\u000abio_4_etrs2_ras permutation importance: 0.9375\u000abio_8_etrs2_ras permutation importance: 2.7788\u000abld_m_sd1_1km_eu_ll permutation importance: 3.756\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.8737\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 10.267\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 3.1304\u000adist2water1km permutation importance: 0.4427\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.7543\u000apet_he_yr permutation importance: 3.5857\u000asltppt_m_sd1_1km_eu_ll permutation importance: 2.037\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.31\u000asolar_1km permutation importance: 5.0318\u000aTraining gain without bio_12_etrs2_ras: 2.3214\u000aTraining gain without bio_15_etrs2_ras: 2.2756\u000aTraining gain without bio_18_etrs2_ras: 2.302\u000aTraining gain without bio_4_etrs2_ras: 2.32\u000aTraining gain without bio_8_etrs2_ras: 2.3084\u000aTraining gain without bld_m_sd1_1km_eu_ll: 2.325\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 2.3229\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 2.3078\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 2.2911\u000aTraining gain without dist2water1km: 2.3186\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.3237\u000aTraining gain without pet_he_yr: 2.3023\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 2.3202\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 2.3193\u000aTraining gain without solar_1km: 2.3129\u000aTraining gain with only bio_12_etrs2_ras: 0.6892\u000aTraining gain with only bio_15_etrs2_ras: 1.0505\u000aTraining gain with only bio_18_etrs2_ras: 1.6658\u000aTraining gain with only bio_4_etrs2_ras: 0.305\u000aTraining gain with only bio_8_etrs2_ras: 0.4187\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 1.6355\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.2501\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.9911\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.3139\u000aTraining gain with only dist2water1km: 0.0781\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.7096\u000aTraining gain with only pet_he_yr: 1.563\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2563\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4807\u000aTraining gain with only solar_1km: 0.52\u000aTest gain without bio_12_etrs2_ras: 2.3239\u000aTest gain without bio_15_etrs2_ras: 2.3132\u000aTest gain without bio_18_etrs2_ras: 2.359\u000aTest gain without bio_4_etrs2_ras: 2.3115\u000aTest gain without bio_8_etrs2_ras: 2.3134\u000aTest gain without bld_m_sd1_1km_eu_ll: 2.2592\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 2.3481\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 2.295\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 2.3769\u000aTest gain without dist2water1km: 2.3254\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 2.381\u000aTest gain without pet_he_yr: 2.2282\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 2.2967\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 2.2821\u000aTest gain without solar_1km: 2.3615\u000aTest gain with only bio_12_etrs2_ras: 1.0251\u000aTest gain with only bio_15_etrs2_ras: 0.8818\u000aTest gain with only bio_18_etrs2_ras: 1.8308\u000aTest gain with only bio_4_etrs2_ras: 0.3942\u000aTest gain with only bio_8_etrs2_ras: 0.5683\u000aTest gain with only bld_m_sd1_1km_eu_ll: 1.6782\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: -0.0869\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.8157\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.1303\u000aTest gain with only dist2water1km: 0.2204\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.6504\u000aTest gain with only pet_he_yr: 1.9534\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3548\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.287\u000aTest gain with only solar_1km: 0.2802\u000aAUC without bio_12_etrs2_ras: 0.9636\u000aAUC without bio_15_etrs2_ras: 0.9633\u000aAUC without bio_18_etrs2_ras: 0.9653\u000aAUC without bio_4_etrs2_ras: 0.9635\u000aAUC without bio_8_etrs2_ras: 0.9634\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9619\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9645\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9625\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9656\u000aAUC without dist2water1km: 0.9631\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9656\u000aAUC without pet_he_yr: 0.9601\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.963\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9623\u000aAUC without solar_1km: 0.9651\u000aAUC with only bio_12_etrs2_ras: 0.8486\u000aAUC with only bio_15_etrs2_ras: 0.8469\u000aAUC with only bio_18_etrs2_ras: 0.9391\u000aAUC with only bio_4_etrs2_ras: 0.7473\u000aAUC with only bio_8_etrs2_ras: 0.7807\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.9361\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.5654\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.8411\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6483\u000aAUC with only dist2water1km: 0.7084\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8126\u000aAUC with only pet_he_yr: 0.9497\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7377\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.6992\u000aAUC with only solar_1km: 0.7147\u000aEntropy: 6.2387\u000aPrevalence (average of logistic output over background sites): 0.048\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0166\u000aFixed cumulative value 1 area: 0.1745\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.09E-17\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.125\u000aFixed cumulative value 5 area: 0.1089\u000aFixed cumulative value 5 training omission: 0.0152\u000aFixed cumulative value 5 test omission: 0.0455\u000aFixed cumulative value 5 binomial probability: 1.19E-19\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.218\u000aFixed cumulative value 10 area: 0.0844\u000aFixed cumulative value 10 training omission: 0.0455\u000aFixed cumulative value 10 test omission: 0.0909\u000aFixed cumulative value 10 binomial probability: 6.63E-20\u000aMinimum training presence cumulative threshold: 1.1601\u000aMinimum training presence logistic threshold: 0.0213\u000aMinimum training presence area: 0.1663\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 7.28E-18\u000a10 percentile training presence cumulative threshold: 20.3928\u000a10 percentile training presence logistic threshold: 0.3493\u000a10 percentile training presence area: 0.0582\u000a10 percentile training presence training omission: 0.096\u000a10 percentile training presence test omission: 0.1818\u000a10 percentile training presence binomial probability: 3.39E-19\u000aEqual training sensitivity and specificity cumulative threshold: 14.5887\u000aEqual training sensitivity and specificity logistic threshold: 0.2787\u000aEqual training sensitivity and specificity area: 0.0706\u000aEqual training sensitivity and specificity training omission: 0.0707\u000aEqual training sensitivity and specificity test omission: 0.0909\u000aEqual training sensitivity and specificity binomial probability: 1.91E-21\u000aMaximum training sensitivity plus specificity cumulative threshold: 5.5286\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1362\u000aMaximum training sensitivity plus specificity area: 0.1053\u000aMaximum training sensitivity plus specificity training omission: 0.0152\u000aMaximum training sensitivity plus specificity test omission: 0.0455\u000aMaximum training sensitivity plus specificity binomial probability: 5.80E-20\u000aEqual test sensitivity and specificity cumulative threshold: 9.7867\u000aEqual test sensitivity and specificity logistic threshold: 0.2133\u000aEqual test sensitivity and specificity area: 0.0852\u000aEqual test sensitivity and specificity training omission: 0.0455\u000aEqual test sensitivity and specificity test omission: 0.0909\u000aEqual test sensitivity and specificity binomial probability: 7.95E-20\u000aMaximum test sensitivity plus specificity cumulative threshold: 3.1746\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0853\u000aMaximum test sensitivity plus specificity area: 0.1243\u000aMaximum test sensitivity plus specificity training omission: 0.0101\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.20E-20\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.1601\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0213\u000aBalance training omission, predicted area and threshold value area: 0.1663\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 7.28E-18\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.5344\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.155\u000aEquate entropy of thresholded and original distributions area: 0.0996\u000aEquate entropy of thresholded and original distributions training omission: 0.0253\u000aEquate entropy of thresholded and original distributions test omission: 0.0455\u000aEquate entropy of thresholded and original distributions binomial probability: 1.83E-20
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9312f79c-94fe-4d15-90c2-8371fb28826f
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V1940
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(dp78505
g13
Nsg14
g74
sg15
V2011
p78506
sbg8
(g9
g10
NtRp78507
(dp78508
g13
Nsg14
Nsg15
VTRUE
p78509
sbg8
(g9
g10
NtRp78510
(dp78511
g13
Nsg14
Nsg15
VEurope
p78512
sbg8
(g9
g10
NtRp78513
(dp78514
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78515
sbg8
(g9
g10
NtRp78516
(dp78517
g13
Nsg14
Nsg15
VFALSE
p78518
sbg8
(g9
g10
NtRp78519
(dp78520
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78521
sbg8
(g9
g10
NtRp78522
(dp78523
g13
Nsg14
Nsg15
VFALSE
p78524
sbNNNNNNNg8
(g9
g10
NtRp78525
(dp78526
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78527
(dp78528
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78529
(dp78530
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f9-3_1940-2011_rev01
p78531
sbNNtp78532
a(g8
(g9
g10
NtRp78533
(dp78534
g13
Nsg14
Nsg15
V8638744c-5d3a-4c71-9dab-f4cf49e5908b
p78535
sbNg8
(g9
g10
NtRp78536
(dp78537
g13
Nsg14
Nsg15
VEUNIS habitat type F3.1g, predicted habitat suitability - version 1, June 2016
p78538
sbNNNNNg8
(g9
g10
NtRp78539
(dp78540
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
p78541
sbg8
(g23
g10
NtRp78542
(dp78543
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78544
sbNg8
(g9
g10
NtRp78545
(dp78546
g13
Nsg14
Nsg15
VFALSE
p78547
sbNNNg8
(g9
g10
NtRp78548
(dp78549
g13
Nsg14
Nsg15
VFALSE
p78550
sbNNg8
(g9
g10
NtRp78551
(dp78552
g13
Nsg14
Nsg15
VFALSE
p78553
sbNNg8
(g9
g10
NtRp78554
(dp78555
g13
Nsg14
Nsg15
VFALSE
p78556
sbNg8
(g9
g10
NtRp78557
(dp78558
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_random_bg_ed1.png
p78559
sbg8
(g9
g10
NtRp78560
(dp78561
g13
Nsg14
Nsg15
VEPSG:3035
p78562
sbg8
(g9
g10
NtRp78563
(dp78564
g13
Nsg14
Nsg15
V2019-06-04
p78565
sbNg8
(g9
g10
NtRp78566
(dp78567
g13
Nsg14
Nsg15
VHabitats and biotopes
p78568
sbg8
(g9
g10
NtRp78569
(dp78570
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p78571
sbg8
(g9
g10
NtRp78572
(dp78573
g13
Nsg14
Nsg15
Vgrid
p78574
sbg8
(g9
g10
NtRp78575
(dp78576
g13
Nsg14
Nsg15
VGTiff
p78577
sbNg8
(g9
g10
NtRp78578
(dp78579
g13
Nsg14
Nsg15
V1000m
p78580
sbNg8
(g9
g10
NtRp78581
(dp78582
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 477\u000aRegularized training gain: 1.336\u000aUnregularized training gain: 1.5094\u000aIterations: 500\u000aTraining AUC: 0.9214\u000a#Test samples: 53\u000aTest gain: 1.4334\u000aTest AUC: 0.9127\u000aAUC Standard Deviation: 0.0117\u000a#Background points: 5476\u000abio_12_etrs2_ras contribution: 21.3753\u000abio_15_etrs2_ras contribution: 1.4767\u000abio_18_etrs2_ras contribution: 3.8228\u000abio_4_etrs2_ras contribution: 38.4785\u000abio_8_etrs2_ras contribution: 0.5229\u000abld_m_sd1_1km_eu_ll contribution: 6.9894\u000acecsum_m_sd1_1km_eu_ll contribution: 1.5709\u000aclyppt_m_sd1_1km_eu_ll contribution: 6.0154\u000acrfvol_m_sd1_1km_eu_ll contribution: 4.1324\u000adist2water1km contribution: 0.3184\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.9897\u000apet_he_yr contribution: 13.4663\u000aphihox_m_sd1_1km_eu_ll contribution: 0.2333\u000asltppt_m_sd1_1km_eu_ll contribution: 0.1342\u000asndppt_m_sd1_1km_eu_ll contribution: 0.4396\u000asolar_1km contribution: 0.0344\u000abio_12_etrs2_ras permutation importance: 2.1368\u000abio_15_etrs2_ras permutation importance: 5.4331\u000abio_18_etrs2_ras permutation importance: 6.7422\u000abio_4_etrs2_ras permutation importance: 44.9368\u000abio_8_etrs2_ras permutation importance: 1.7816\u000abld_m_sd1_1km_eu_ll permutation importance: 4.1575\u000acecsum_m_sd1_1km_eu_ll permutation importance: 5.7108\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.9402\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 7.6498\u000adist2water1km permutation importance: 0.3067\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.9113\u000apet_he_yr permutation importance: 15.4077\u000aphihox_m_sd1_1km_eu_ll permutation importance: 1.0707\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.7499\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.9865\u000asolar_1km permutation importance: 0.0784\u000aEntropy: 7.2766\u000aPrevalence (average of logistic output over background sites): 0.1284\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0252\u000aFixed cumulative value 1 area: 0.4246\u000aFixed cumulative value 1 training omission: 0.0021\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.17E-17\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1414\u000aFixed cumulative value 5 area: 0.2812\u000aFixed cumulative value 5 training omission: 0.0189\u000aFixed cumulative value 5 test omission: 0.0377\u000aFixed cumulative value 5 binomial probability: 1.41E-28\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2437\u000aFixed cumulative value 10 area: 0.2255\u000aFixed cumulative value 10 training omission: 0.0503\u000aFixed cumulative value 10 test omission: 0.0755\u000aFixed cumulative value 10 binomial probability: 2.08E-34\u000aMinimum training presence cumulative threshold: 0.9217\u000aMinimum training presence logistic threshold: 0.0234\u000aMinimum training presence area: 0.433\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.00E-17\u000a10 percentile training presence cumulative threshold: 18.1671\u000a10 percentile training presence logistic threshold: 0.3403\u000a10 percentile training presence area: 0.174\u000a10 percentile training presence training omission: 0.0985\u000a10 percentile training presence test omission: 0.1509\u000a10 percentile training presence binomial probability: 1.01E-38\u000aEqual training sensitivity and specificity cumulative threshold: 23.2055\u000aEqual training sensitivity and specificity logistic threshold: 0.3783\u000aEqual training sensitivity and specificity area: 0.1503\u000aEqual training sensitivity and specificity training omission: 0.1509\u000aEqual training sensitivity and specificity test omission: 0.2075\u000aEqual training sensitivity and specificity binomial probability: 2.08E-39\u000aMaximum training sensitivity plus specificity cumulative threshold: 15.887\u000aMaximum training sensitivity plus specificity logistic threshold: 0.32\u000aMaximum training sensitivity plus specificity area: 0.1863\u000aMaximum training sensitivity plus specificity training omission: 0.0797\u000aMaximum training sensitivity plus specificity test omission: 0.1321\u000aMaximum training sensitivity plus specificity binomial probability: 1.63E-37\u000aEqual test sensitivity and specificity cumulative threshold: 19.0346\u000aEqual test sensitivity and specificity logistic threshold: 0.3465\u000aEqual test sensitivity and specificity area: 0.1698\u000aEqual test sensitivity and specificity training omission: 0.1111\u000aEqual test sensitivity and specificity test omission: 0.1698\u000aEqual test sensitivity and specificity binomial probability: 7.85E-38\u000aMaximum test sensitivity plus specificity cumulative threshold: 14.968\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3093\u000aMaximum test sensitivity plus specificity area: 0.1916\u000aMaximum test sensitivity plus specificity training omission: 0.0797\u000aMaximum test sensitivity plus specificity test omission: 0.0943\u000aMaximum test sensitivity plus specificity binomial probability: 3.82E-40\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.5523\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.074\u000aBalance training omission, predicted area and threshold value area: 0.3358\u000aBalance training omission, predicted area and threshold value training omission: 0.0063\u000aBalance training omission, predicted area and threshold value test omission: 0.0189\u000aBalance training omission, predicted area and threshold value binomial probability: 1.30E-23\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.1855\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.169\u000aEquate entropy of thresholded and original distributions area: 0.2641\u000aEquate entropy of thresholded and original distributions training omission: 0.0294\u000aEquate entropy of thresholded and original distributions test omission: 0.0566\u000aEquate entropy of thresholded and original distributions binomial probability: 1.65E-29
p78583
sbg8
(g9
g10
NtRp78584
(dp78585
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8638744c-5d3a-4c71-9dab-f4cf49e5908b
p78586
sbg8
(g9
g10
NtRp78587
(dp78588
g13
Nsg14
g74
sg15
V1940
p78589
sbg8
(g9
g10
NtRp78590
(dp78591
g13
Nsg14
g74
sg15
V2011
p78592
sbg8
(g9
g10
NtRp78593
(dp78594
g13
Nsg14
Nsg15
VTRUE
p78595
sbg8
(g9
g10
NtRp78596
(dp78597
g13
Nsg14
Nsg15
VEurope
p78598
sbg8
(g9
g10
NtRp78599
(dp78600
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78601
sbg8
(g9
g10
NtRp78602
(dp78603
g13
Nsg14
Nsg15
VFALSE
p78604
sbg8
(g9
g10
NtRp78605
(dp78606
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78607
sbg8
(g9
g10
NtRp78608
(dp78609
g13
Nsg14
Nsg15
VFALSE
p78610
sbNNNNNNNg8
(g9
g10
NtRp78611
(dp78612
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78613
(dp78614
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78615
(dp78616
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f3-1g_1940-2011_rev01
p78617
sbNNtp78618
a(g8
(g9
g10
NtRp78619
(dp78620
g13
Nsg14
Nsg15
V76691d8d-4d47-4a66-b0fa-fcb2cfa790c1
p78621
sbNg8
(g9
g10
NtRp78622
(dp78623
g13
Nsg14
Nsg15
VEUNIS habitat type F7-1 distribution based on vegetation plot data - version 1, June 2016
p78624
sbNNNNNg8
(g9
g10
NtRp78625
(dp78626
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p78627
sbg8
(g23
g10
NtRp78628
(dp78629
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78630
sbNg8
(g9
g10
NtRp78631
(dp78632
g13
Nsg14
Nsg15
VFALSE
p78633
sbNNNg8
(g9
g10
NtRp78634
(dp78635
g13
Nsg14
Nsg15
VFALSE
p78636
sbNNg8
(g9
g10
NtRp78637
(dp78638
g13
Nsg14
Nsg15
VFALSE
p78639
sbNNg8
(g9
g10
NtRp78640
(dp78641
g13
Nsg14
Nsg15
VFALSE
p78642
sbNg8
(g9
g10
NtRp78643
(dp78644
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-1_dist_edt1.png
p78645
sbg8
(g9
g10
NtRp78646
(dp78647
g13
Nsg14
Nsg15
VEPSG:3035
p78648
sbg8
(g9
g10
NtRp78649
(dp78650
g13
Nsg14
Nsg15
V2019-06-04
p78651
sbNg8
(g9
g10
NtRp78652
(dp78653
g13
Nsg14
Nsg15
VHabitats and biotopes
p78654
sbg8
(g9
g10
NtRp78655
(dp78656
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p78657
sbg8
(g9
g10
NtRp78658
(dp78659
g13
Nsg14
Nsg15
Vvector
p78660
sbg8
(g9
g10
NtRp78661
(dp78662
g13
Nsg14
Nsg15
VSHP
p78663
sbNg8
(g9
g10
NtRp78664
(dp78665
g13
Nsg14
Nsg15
V1:10000000
p78666
sbNg8
(g9
g10
NtRp78667
(dp78668
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p78669
sbg8
(g9
g10
NtRp78670
(dp78671
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76691d8d-4d47-4a66-b0fa-fcb2cfa790c1
p78672
sbg8
(g9
g10
NtRp78673
(dp78674
g13
Nsg14
g74
sg15
V1940
p78675
sbg8
(g9
g10
NtRp78676
(dp78677
g13
Nsg14
g74
sg15
V2011
p78678
sbg8
(g9
g10
NtRp78679
(dp78680
g13
Nsg14
Nsg15
VTRUE
p78681
sbg8
(g9
g10
NtRp78682
(dp78683
g13
Nsg14
Nsg15
VEurope
p78684
sbg8
(g9
g10
NtRp78685
(dp78686
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78687
sbg8
(g9
g10
NtRp78688
(dp78689
g13
Nsg14
Nsg15
VFALSE
p78690
sbg8
(g9
g10
NtRp78691
(dp78692
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78693
sbg8
(g9
g10
NtRp78694
(dp78695
g13
Nsg14
Nsg15
VFALSE
p78696
sbNNNNNNNg8
(g9
g10
NtRp78697
(dp78698
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78699
(dp78700
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78701
(dp78702
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f7-1_1940-2011_rev01
p78703
sbNNtp78704
a(g8
(g9
g10
NtRp78705
(dp78706
g13
Nsg14
Nsg15
Vac3b92e7-94e5-4016-897c-818c8be0abf6
p78707
sbNg8
(g9
g10
NtRp78708
(dp78709
g13
Nsg14
Nsg15
VEUNIS habitat type B1.7, predicted distribution of habitat suitability - version 1, Jan. 2015
p78710
sbNNNNNg8
(g9
g10
NtRp78711
(dp78712
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p78713
sbg8
(g23
g10
NtRp78714
(dp78715
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78716
sbNg8
(g9
g10
NtRp78717
(dp78718
g13
Nsg14
Nsg15
VFALSE
p78719
sbNNNg8
(g9
g10
NtRp78720
(dp78721
g13
Nsg14
Nsg15
VFALSE
p78722
sbNNg8
(g9
g10
NtRp78723
(dp78724
g13
Nsg14
Nsg15
VFALSE
p78725
sbNNg8
(g9
g10
NtRp78726
(dp78727
g13
Nsg14
Nsg15
VFALSE
p78728
sbNg8
(g9
g10
NtRp78729
(dp78730
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_random_bg_ed1.png
p78731
sbg8
(g9
g10
NtRp78732
(dp78733
g13
Nsg14
Nsg15
VEPSG:3035
p78734
sbg8
(g9
g10
NtRp78735
(dp78736
g13
Nsg14
Nsg15
V2019-06-04
p78737
sbNg8
(g9
g10
NtRp78738
(dp78739
g13
Nsg14
Nsg15
VHabitats and biotopes
p78740
sbg8
(g9
g10
NtRp78741
(dp78742
g13
Nsg14
Nsg15
Vcoastal|coastal environment|forest|natural area|terrestrial ecosystem
p78743
sbg8
(g9
g10
NtRp78744
(dp78745
g13
Nsg14
Nsg15
Vgrid
p78746
sbg8
(g9
g10
NtRp78747
(dp78748
g13
Nsg14
Nsg15
VAAIGrid
p78749
sbNg8
(g9
g10
NtRp78750
(dp78751
g13
Nsg14
Nsg15
V1000m
p78752
sbNg8
(g9
g10
NtRp78753
(dp78754
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 128\u000aRegularized training gain: 3.0309\u000aUnregularized training gain: 3.4058\u000aIterations: 500\u000aTraining AUC: 0.987\u000a#Test samples: 14\u000aTest gain: 3.5723\u000aTest AUC: 0.9904\u000aAUC Standard Deviation: 0.0028\u000a#Background points: 10128\u000abio_12_etrs2_ras contribution: 1.018\u000abio_15_etrs2_ras contribution: 8.5057\u000abio_18_etrs2_ras contribution: 1.2786\u000abio_4_etrs2_ras contribution: 39.5222\u000abio_8_etrs2_ras contribution: 15.8472\u000adist2water1km contribution: 0.947\u000apet_he_yr contribution: 0.9996\u000asoil_ph contribution: 0.3234\u000asolar_1km contribution: 31.5583\u000abio_12_etrs2_ras permutation importance: 1.1557\u000abio_15_etrs2_ras permutation importance: 4.112\u000abio_18_etrs2_ras permutation importance: 1.6354\u000abio_4_etrs2_ras permutation importance: 68.7488\u000abio_8_etrs2_ras permutation importance: 5.0543\u000adist2water1km permutation importance: 0.3743\u000apet_he_yr permutation importance: 0.7581\u000asoil_ph permutation importance: 0.1484\u000asolar_1km permutation importance: 18.0129\u000aEntropy: 6.2021\u000aPrevalence (average of logistic output over background sites): 0.0223\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0036\u000aFixed cumulative value 1 area: 0.2741\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.35E-08\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.031\u000aFixed cumulative value 5 area: 0.1037\u000aFixed cumulative value 5 training omission: 0.0078\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.66E-14\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0831\u000aFixed cumulative value 10 area: 0.0581\u000aFixed cumulative value 10 training omission: 0.0469\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 4.94E-18\u000aMinimum training presence cumulative threshold: 4.3626\u000aMinimum training presence logistic threshold: 0.0265\u000aMinimum training presence area: 0.1142\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 6.45E-14\u000a10 percentile training presence cumulative threshold: 15.4845\u000a10 percentile training presence logistic threshold: 0.1588\u000a10 percentile training presence area: 0.0374\u000a10 percentile training presence training omission: 0.0938\u000a10 percentile training presence test omission: 0.0714\u000a10 percentile training presence binomial probability: 3.81E-18\u000aEqual training sensitivity and specificity cumulative threshold: 12.0954\u000aEqual training sensitivity and specificity logistic threshold: 0.1082\u000aEqual training sensitivity and specificity area: 0.0483\u000aEqual training sensitivity and specificity training omission: 0.0469\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 3.74E-19\u000aMaximum training sensitivity plus specificity cumulative threshold: 12.0954\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1082\u000aMaximum training sensitivity plus specificity area: 0.0483\u000aMaximum training sensitivity plus specificity training omission: 0.0469\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 3.74E-19\u000aEqual test sensitivity and specificity cumulative threshold: 15.2977\u000aEqual test sensitivity and specificity logistic threshold: 0.1539\u000aEqual test sensitivity and specificity area: 0.0379\u000aEqual test sensitivity and specificity training omission: 0.0859\u000aEqual test sensitivity and specificity test omission: 0.0714\u000aEqual test sensitivity and specificity binomial probability: 4.52E-18\u000aMaximum test sensitivity plus specificity cumulative threshold: 15.2927\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1537\u000aMaximum test sensitivity plus specificity area: 0.0379\u000aMaximum test sensitivity plus specificity training omission: 0.0859\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.27E-20\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.4843\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0191\u000aBalance training omission, predicted area and threshold value area: 0.1328\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 5.31E-13\u000aEquate entropy of thresholded and original distributions cumulative threshold: 12.022\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1074\u000aEquate entropy of thresholded and original distributions area: 0.0487\u000aEquate entropy of thresholded and original distributions training omission: 0.0469\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 4.19E-19
p78755
sbg8
(g9
g10
NtRp78756
(dp78757
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b92e7-94e5-4016-897c-818c8be0abf6
p78758
sbg8
(g9
g10
NtRp78759
(dp78760
g13
Nsg14
g74
sg15
V1940
p78761
sbg8
(g9
g10
NtRp78762
(dp78763
g13
Nsg14
g74
sg15
V2011
p78764
sbg8
(g9
g10
NtRp78765
(dp78766
g13
Nsg14
Nsg15
VTRUE
p78767
sbg8
(g9
g10
NtRp78768
(dp78769
g13
Nsg14
Nsg15
VEurope
p78770
sbg8
(g9
g10
NtRp78771
(dp78772
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78773
sbg8
(g9
g10
NtRp78774
(dp78775
g13
Nsg14
Nsg15
VFALSE
p78776
sbg8
(g9
g10
NtRp78777
(dp78778
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78779
sbg8
(g9
g10
NtRp78780
(dp78781
g13
Nsg14
Nsg15
VFALSE
p78782
sbNNNNNNNg8
(g9
g10
NtRp78783
(dp78784
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78785
(dp78786
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78787
(dp78788
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b1-7_1940-2011_rev01
p78789
sbNNtp78790
a(g8
(g9
g10
NtRp78791
(dp78792
g13
Nsg14
Nsg15
V5bcc499a-8924-40a2-8437-ead942a5d9d2
p78793
sbNg8
(g9
g10
NtRp78794
(dp78795
g13
Nsg14
Nsg15
VEUNIS habitat type G1.6b distribution based on vegetation plot data - version 1, Jan. 2015
p78796
sbNNNNNg8
(g9
g10
NtRp78797
(dp78798
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p78799
sbg8
(g23
g10
NtRp78800
(dp78801
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78802
sbNg8
(g9
g10
NtRp78803
(dp78804
g13
Nsg14
Nsg15
VFALSE
p78805
sbNNNg8
(g9
g10
NtRp78806
(dp78807
g13
Nsg14
Nsg15
VFALSE
p78808
sbNNg8
(g9
g10
NtRp78809
(dp78810
g13
Nsg14
Nsg15
VFALSE
p78811
sbNNg8
(g9
g10
NtRp78812
(dp78813
g13
Nsg14
Nsg15
VFALSE
p78814
sbNg8
(g9
g10
NtRp78815
(dp78816
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_dist_edt1.png
p78817
sbg8
(g9
g10
NtRp78818
(dp78819
g13
Nsg14
Nsg15
VEPSG:3035
p78820
sbg8
(g9
g10
NtRp78821
(dp78822
g13
Nsg14
Nsg15
V2019-06-04
p78823
sbNg8
(g9
g10
NtRp78824
(dp78825
g13
Nsg14
Nsg15
VHabitats and biotopes
p78826
sbg8
(g9
g10
NtRp78827
(dp78828
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p78829
sbg8
(g9
g10
NtRp78830
(dp78831
g13
Nsg14
Nsg15
Vvector
p78832
sbg8
(g9
g10
NtRp78833
(dp78834
g13
Nsg14
Nsg15
VSHP
p78835
sbNg8
(g9
g10
NtRp78836
(dp78837
g13
Nsg14
Nsg15
V1:10000000
p78838
sbNg8
(g9
g10
NtRp78839
(dp78840
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p78841
sbg8
(g9
g10
NtRp78842
(dp78843
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bcc499a-8924-40a2-8437-ead942a5d9d2
p78844
sbg8
(g9
g10
NtRp78845
(dp78846
g13
Nsg14
g74
sg15
V1940
p78847
sbg8
(g9
g10
NtRp78848
(dp78849
g13
Nsg14
g74
sg15
V2011
p78850
sbg8
(g9
g10
NtRp78851
(dp78852
g13
Nsg14
Nsg15
VTRUE
p78853
sbg8
(g9
g10
NtRp78854
(dp78855
g13
Nsg14
Nsg15
VEurope
p78856
sbg8
(g9
g10
NtRp78857
(dp78858
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78859
sbg8
(g9
g10
NtRp78860
(dp78861
g13
Nsg14
Nsg15
VFALSE
p78862
sbg8
(g9
g10
NtRp78863
(dp78864
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78865
sbg8
(g9
g10
NtRp78866
(dp78867
g13
Nsg14
Nsg15
VFALSE
p78868
sbNNNNNNNg8
(g9
g10
NtRp78869
(dp78870
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78871
(dp78872
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78873
(dp78874
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-6b_1940-2011_rev01
p78875
sbNNtp78876
a(g8
(g9
g10
NtRp78877
(dp78878
g13
Nsg14
Nsg15
V9670883f-53d0-43b8-8d1a-d65e3a076877
p78879
sbNg8
(g9
g10
NtRp78880
(dp78881
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1a distribution based on vegetation plot data - version 1, June 2016
p78882
sbNNNNNg8
(g9
g10
NtRp78883
(dp78884
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p78885
sbg8
(g23
g10
NtRp78886
(dp78887
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78888
sbNg8
(g9
g10
NtRp78889
(dp78890
g13
Nsg14
Nsg15
VFALSE
p78891
sbNNNg8
(g9
g10
NtRp78892
(dp78893
g13
Nsg14
Nsg15
VFALSE
p78894
sbNNg8
(g9
g10
NtRp78895
(dp78896
g13
Nsg14
Nsg15
VFALSE
p78897
sbNNg8
(g9
g10
NtRp78898
(dp78899
g13
Nsg14
Nsg15
VFALSE
p78900
sbNg8
(g9
g10
NtRp78901
(dp78902
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_dist_edt1.png
p78903
sbg8
(g9
g10
NtRp78904
(dp78905
g13
Nsg14
Nsg15
VEPSG:3035
p78906
sbg8
(g9
g10
NtRp78907
(dp78908
g13
Nsg14
Nsg15
V2019-06-04
p78909
sbNg8
(g9
g10
NtRp78910
(dp78911
g13
Nsg14
Nsg15
VHabitats and biotopes
p78912
sbg8
(g9
g10
NtRp78913
(dp78914
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p78915
sbg8
(g9
g10
NtRp78916
(dp78917
g13
Nsg14
Nsg15
Vvector
p78918
sbg8
(g9
g10
NtRp78919
(dp78920
g13
Nsg14
Nsg15
VSHP
p78921
sbNg8
(g9
g10
NtRp78922
(dp78923
g13
Nsg14
Nsg15
V1:10000000
p78924
sbNg8
(g9
g10
NtRp78925
(dp78926
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p78927
sbg8
(g9
g10
NtRp78928
(dp78929
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9670883f-53d0-43b8-8d1a-d65e3a076877
p78930
sbg8
(g9
g10
NtRp78931
(dp78932
g13
Nsg14
g74
sg15
V1940
p78933
sbg8
(g9
g10
NtRp78934
(dp78935
g13
Nsg14
g74
sg15
V2011
p78936
sbg8
(g9
g10
NtRp78937
(dp78938
g13
Nsg14
Nsg15
VTRUE
p78939
sbg8
(g9
g10
NtRp78940
(dp78941
g13
Nsg14
Nsg15
VEurope
p78942
sbg8
(g9
g10
NtRp78943
(dp78944
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p78945
sbg8
(g9
g10
NtRp78946
(dp78947
g13
Nsg14
Nsg15
VFALSE
p78948
sbg8
(g9
g10
NtRp78949
(dp78950
g13
Nsg14
Nsg15
VEuropean Environment Agency
p78951
sbg8
(g9
g10
NtRp78952
(dp78953
g13
Nsg14
Nsg15
VFALSE
p78954
sbNNNNNNNg8
(g9
g10
NtRp78955
(dp78956
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp78957
(dp78958
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp78959
(dp78960
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1a_1940-2011_rev01
p78961
sbNNtp78962
a(g8
(g9
g10
NtRp78963
(dp78964
g13
Nsg14
Nsg15
V6b209f5f-7292-46b4-b59f-74d0dccf53ee
p78965
sbNg8
(g9
g10
NtRp78966
(dp78967
g13
Nsg14
Nsg15
VEUNIS habitat type F2-1 distribution based on vegetation plot data - version 1, June 2016
p78968
sbNNNNNg8
(g9
g10
NtRp78969
(dp78970
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p78971
sbg8
(g23
g10
NtRp78972
(dp78973
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p78974
sbNg8
(g9
g10
NtRp78975
(dp78976
g13
Nsg14
Nsg15
VFALSE
p78977
sbNNNg8
(g9
g10
NtRp78978
(dp78979
g13
Nsg14
Nsg15
VFALSE
p78980
sbNNg8
(g9
g10
NtRp78981
(dp78982
g13
Nsg14
Nsg15
VFALSE
p78983
sbNNg8
(g9
g10
NtRp78984
(dp78985
g13
Nsg14
Nsg15
VFALSE
p78986
sbNg8
(g9
g10
NtRp78987
(dp78988
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_dist_edt1.png
p78989
sbg8
(g9
g10
NtRp78990
(dp78991
g13
Nsg14
Nsg15
VEPSG:3035
p78992
sbg8
(g9
g10
NtRp78993
(dp78994
g13
Nsg14
Nsg15
V2019-06-04
p78995
sbNg8
(g9
g10
NtRp78996
(dp78997
g13
Nsg14
Nsg15
VHabitats and biotopes
p78998
sbg8
(g9
g10
NtRp78999
(dp79000
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79001
sbg8
(g9
g10
NtRp79002
(dp79003
g13
Nsg14
Nsg15
Vvector
p79004
sbg8
(g9
g10
NtRp79005
(dp79006
g13
Nsg14
Nsg15
VSHP
p79007
sbNg8
(g9
g10
NtRp79008
(dp79009
g13
Nsg14
Nsg15
V1:10000000
p79010
sbNg8
(g9
g10
NtRp79011
(dp79012
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79013
sbg8
(g9
g10
NtRp79014
(dp79015
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b209f5f-7292-46b4-b59f-74d0dccf53ee
p79016
sbg8
(g9
g10
NtRp79017
(dp79018
g13
Nsg14
g74
sg15
V1940
p79019
sbg8
(g9
g10
NtRp79020
(dp79021
g13
Nsg14
g74
sg15
V2011
p79022
sbg8
(g9
g10
NtRp79023
(dp79024
g13
Nsg14
Nsg15
VTRUE
p79025
sbg8
(g9
g10
NtRp79026
(dp79027
g13
Nsg14
Nsg15
VEurope
p79028
sbg8
(g9
g10
NtRp79029
(dp79030
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79031
sbg8
(g9
g10
NtRp79032
(dp79033
g13
Nsg14
Nsg15
VFALSE
p79034
sbg8
(g9
g10
NtRp79035
(dp79036
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79037
sbg8
(g9
g10
NtRp79038
(dp79039
g13
Nsg14
Nsg15
VFALSE
p79040
sbNNNNNNNg8
(g9
g10
NtRp79041
(dp79042
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79043
(dp79044
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79045
(dp79046
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f2-1_1940-2011_rev01
p79047
sbNNtp79048
a(g8
(g9
g10
NtRp79049
(dp79050
g13
Nsg14
Nsg15
Vcb23d43e-5495-4ab9-861e-1c2d13db33e2
p79051
sbNg8
(g9
g10
NtRp79052
(dp79053
g13
Nsg14
Nsg15
VEUNIS habitat type F3.1a, predicted habitat suitability - version 1, June 2016
p79054
sbNNNNNg8
(g9
g10
NtRp79055
(dp79056
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.
p79057
sbg8
(g23
g10
NtRp79058
(dp79059
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79060
sbNg8
(g9
g10
NtRp79061
(dp79062
g13
Nsg14
Nsg15
VFALSE
p79063
sbNNNg8
(g9
g10
NtRp79064
(dp79065
g13
Nsg14
Nsg15
VFALSE
p79066
sbNNg8
(g9
g10
NtRp79067
(dp79068
g13
Nsg14
Nsg15
VFALSE
p79069
sbNNg8
(g9
g10
NtRp79070
(dp79071
g13
Nsg14
Nsg15
VFALSE
p79072
sbNg8
(g9
g10
NtRp79073
(dp79074
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_random_bg_ed1.png
p79075
sbg8
(g9
g10
NtRp79076
(dp79077
g13
Nsg14
Nsg15
VEPSG:3035
p79078
sbg8
(g9
g10
NtRp79079
(dp79080
g13
Nsg14
Nsg15
V2019-06-04
p79081
sbNg8
(g9
g10
NtRp79082
(dp79083
g13
Nsg14
Nsg15
VHabitats and biotopes
p79084
sbg8
(g9
g10
NtRp79085
(dp79086
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79087
sbg8
(g9
g10
NtRp79088
(dp79089
g13
Nsg14
Nsg15
Vgrid
p79090
sbg8
(g9
g10
NtRp79091
(dp79092
g13
Nsg14
Nsg15
VGTiff
p79093
sbNg8
(g9
g10
NtRp79094
(dp79095
g13
Nsg14
Nsg15
V1000m
p79096
sbNg8
(g9
g10
NtRp79097
(dp79098
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 261\u000aRegularized training gain: 1.451\u000aUnregularized training gain: 1.6818\u000aIterations: 500\u000aTraining AUC: 0.9294\u000a#Test samples: 28\u000aTest gain: 1.6294\u000aTest AUC: 0.9168\u000aAUC Standard Deviation: 0.0248\u000a#Background points: 5261\u000abio_12_etrs2_ras contribution: 16.9278\u000abio_15_etrs2_ras contribution: 1.7383\u000abio_18_etrs2_ras contribution: 3.0896\u000abio_4_etrs2_ras contribution: 47.2878\u000abio_8_etrs2_ras contribution: 1.1727\u000abld_m_sd1_1km_eu_ll contribution: 2.8954\u000acecsum_m_sd1_1km_eu_ll contribution: 0.1047\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.2259\u000acrfvol_m_sd1_1km_eu_ll contribution: 4.1454\u000adist2water1km contribution: 0.0476\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.8552\u000apet_he_yr contribution: 11.6802\u000aphihox_m_sd1_1km_eu_ll contribution: 0.3306\u000asltppt_m_sd1_1km_eu_ll contribution: 0.4748\u000asndppt_m_sd1_1km_eu_ll contribution: 2.8708\u000asolar_1km contribution: 6.1532\u000abio_12_etrs2_ras permutation importance: 11.098\u000abio_15_etrs2_ras permutation importance: 1.4671\u000abio_18_etrs2_ras permutation importance: 3.3948\u000abio_4_etrs2_ras permutation importance: 39.0025\u000abio_8_etrs2_ras permutation importance: 0.9225\u000abld_m_sd1_1km_eu_ll permutation importance: 2.9407\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.3514\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.0385\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 13.2838\u000adist2water1km permutation importance: 0.3511\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 2.4478\u000apet_he_yr permutation importance: 15.1798\u000aphihox_m_sd1_1km_eu_ll permutation importance: 2.9375\u000asltppt_m_sd1_1km_eu_ll permutation importance: 2.438\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.9287\u000asolar_1km permutation importance: 2.2179\u000aEntropy: 7.1344\u000aPrevalence (average of logistic output over background sites): 0.1155\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0186\u000aFixed cumulative value 1 area: 0.5052\u000aFixed cumulative value 1 training omission: 0.0115\u000aFixed cumulative value 1 test omission: 0.0357\u000aFixed cumulative value 1 binomial probability: 5.91E-07\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0954\u000aFixed cumulative value 5 area: 0.3203\u000aFixed cumulative value 5 training omission: 0.0307\u000aFixed cumulative value 5 test omission: 0.0357\u000aFixed cumulative value 5 binomial probability: 1.40E-13\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1694\u000aFixed cumulative value 10 area: 0.2387\u000aFixed cumulative value 10 training omission: 0.0651\u000aFixed cumulative value 10 test omission: 0.1071\u000aFixed cumulative value 10 binomial probability: 2.35E-16\u000aMinimum training presence cumulative threshold: 0.5143\u000aMinimum training presence logistic threshold: 0.0103\u000aMinimum training presence area: 0.587\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0357\u000aMinimum training presence binomial probability: 2.51E-05\u000a10 percentile training presence cumulative threshold: 18.2675\u000a10 percentile training presence logistic threshold: 0.2609\u000a10 percentile training presence area: 0.1671\u000a10 percentile training presence training omission: 0.0996\u000a10 percentile training presence test omission: 0.1786\u000a10 percentile training presence binomial probability: 8.34E-21\u000aEqual training sensitivity and specificity cumulative threshold: 22.3303\u000aEqual training sensitivity and specificity logistic threshold: 0.3025\u000aEqual training sensitivity and specificity area: 0.1426\u000aEqual training sensitivity and specificity training omission: 0.1418\u000aEqual training sensitivity and specificity test omission: 0.2143\u000aEqual training sensitivity and specificity binomial probability: 1.08E-22\u000aMaximum training sensitivity plus specificity cumulative threshold: 18.2675\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2609\u000aMaximum training sensitivity plus specificity area: 0.1671\u000aMaximum training sensitivity plus specificity training omission: 0.0996\u000aMaximum training sensitivity plus specificity test omission: 0.1786\u000aMaximum training sensitivity plus specificity binomial probability: 8.34E-21\u000aEqual test sensitivity and specificity cumulative threshold: 16.6662\u000aEqual test sensitivity and specificity logistic threshold: 0.2475\u000aEqual test sensitivity and specificity area: 0.1785\u000aEqual test sensitivity and specificity training omission: 0.0958\u000aEqual test sensitivity and specificity test omission: 0.1786\u000aEqual test sensitivity and specificity binomial probability: 3.20E-19\u000aMaximum test sensitivity plus specificity cumulative threshold: 36.3306\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4278\u000aMaximum test sensitivity plus specificity area: 0.0842\u000aMaximum test sensitivity plus specificity training omission: 0.2759\u000aMaximum test sensitivity plus specificity test omission: 0.2143\u000aMaximum test sensitivity plus specificity binomial probability: 4.69E-41\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.5127\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.072\u000aBalance training omission, predicted area and threshold value area: 0.3592\u000aBalance training omission, predicted area and threshold value training omission: 0.0192\u000aBalance training omission, predicted area and threshold value test omission: 0.0357\u000aBalance training omission, predicted area and threshold value binomial probability: 1.25E-11\u000aEquate entropy of thresholded and original distributions cumulative threshold: 10.0342\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1695\u000aEquate entropy of thresholded and original distributions area: 0.2384\u000aEquate entropy of thresholded and original distributions training omission: 0.0651\u000aEquate entropy of thresholded and original distributions test omission: 0.1071\u000aEquate entropy of thresholded and original distributions binomial probability: 2.18E-16
p79099
sbg8
(g9
g10
NtRp79100
(dp79101
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cb23d43e-5495-4ab9-861e-1c2d13db33e2
p79102
sbg8
(g9
g10
NtRp79103
(dp79104
g13
Nsg14
g74
sg15
V1940
p79105
sbg8
(g9
g10
NtRp79106
(dp79107
g13
Nsg14
g74
sg15
V2011
p79108
sbg8
(g9
g10
NtRp79109
(dp79110
g13
Nsg14
Nsg15
VTRUE
p79111
sbg8
(g9
g10
NtRp79112
(dp79113
g13
Nsg14
Nsg15
VEurope
p79114
sbg8
(g9
g10
NtRp79115
(dp79116
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79117
sbg8
(g9
g10
NtRp79118
(dp79119
g13
Nsg14
Nsg15
VFALSE
p79120
sbg8
(g9
g10
NtRp79121
(dp79122
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79123
sbg8
(g9
g10
NtRp79124
(dp79125
g13
Nsg14
Nsg15
VFALSE
p79126
sbNNNNNNNg8
(g9
g10
NtRp79127
(dp79128
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79129
(dp79130
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79131
(dp79132
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f3-1a_1940-2011_rev01
p79133
sbNNtp79134
a(g8
(g9
g10
NtRp79135
(dp79136
g13
Nsg14
Nsg15
Ve50c38d3-8c4f-4d9f-80c9-279453a0f61c
p79137
sbNg8
(g9
g10
NtRp79138
(dp79139
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1b distribution based on vegetation plot data - version 1, June 2016
p79140
sbNNNNNg8
(g9
g10
NtRp79141
(dp79142
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79143
sbg8
(g23
g10
NtRp79144
(dp79145
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79146
sbNg8
(g9
g10
NtRp79147
(dp79148
g13
Nsg14
Nsg15
VFALSE
p79149
sbNNNg8
(g9
g10
NtRp79150
(dp79151
g13
Nsg14
Nsg15
VFALSE
p79152
sbNNg8
(g9
g10
NtRp79153
(dp79154
g13
Nsg14
Nsg15
VFALSE
p79155
sbNNg8
(g9
g10
NtRp79156
(dp79157
g13
Nsg14
Nsg15
VFALSE
p79158
sbNg8
(g9
g10
NtRp79159
(dp79160
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_dist_edt1.png
p79161
sbg8
(g9
g10
NtRp79162
(dp79163
g13
Nsg14
Nsg15
VEPSG:3035
p79164
sbg8
(g9
g10
NtRp79165
(dp79166
g13
Nsg14
Nsg15
V2019-06-04
p79167
sbNg8
(g9
g10
NtRp79168
(dp79169
g13
Nsg14
Nsg15
VHabitats and biotopes
p79170
sbg8
(g9
g10
NtRp79171
(dp79172
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79173
sbg8
(g9
g10
NtRp79174
(dp79175
g13
Nsg14
Nsg15
Vvector
p79176
sbg8
(g9
g10
NtRp79177
(dp79178
g13
Nsg14
Nsg15
VSHP
p79179
sbNg8
(g9
g10
NtRp79180
(dp79181
g13
Nsg14
Nsg15
V1:10000000
p79182
sbNg8
(g9
g10
NtRp79183
(dp79184
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79185
sbg8
(g9
g10
NtRp79186
(dp79187
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e50c38d3-8c4f-4d9f-80c9-279453a0f61c
p79188
sbg8
(g9
g10
NtRp79189
(dp79190
g13
Nsg14
g74
sg15
V1940
p79191
sbg8
(g9
g10
NtRp79192
(dp79193
g13
Nsg14
g74
sg15
V2011
p79194
sbg8
(g9
g10
NtRp79195
(dp79196
g13
Nsg14
Nsg15
VTRUE
p79197
sbg8
(g9
g10
NtRp79198
(dp79199
g13
Nsg14
Nsg15
VEurope
p79200
sbg8
(g9
g10
NtRp79201
(dp79202
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79203
sbg8
(g9
g10
NtRp79204
(dp79205
g13
Nsg14
Nsg15
VFALSE
p79206
sbg8
(g9
g10
NtRp79207
(dp79208
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79209
sbg8
(g9
g10
NtRp79210
(dp79211
g13
Nsg14
Nsg15
VFALSE
p79212
sbNNNNNNNg8
(g9
g10
NtRp79213
(dp79214
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79215
(dp79216
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79217
(dp79218
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1b_1940-2011_rev01
p79219
sbNNtp79220
a(g8
(g9
g10
NtRp79221
(dp79222
g13
Nsg14
Nsg15
Ve6a88172-4256-4a06-8015-af210177efe6
p79223
sbNg8
(g9
g10
NtRp79224
(dp79225
g13
Nsg14
Nsg15
VEUNIS habitat type G1.9a distribution based on vegetation plot data - version 1, Jan. 2015
p79226
sbNNNNNg8
(g9
g10
NtRp79227
(dp79228
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79229
sbg8
(g23
g10
NtRp79230
(dp79231
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79232
sbNg8
(g9
g10
NtRp79233
(dp79234
g13
Nsg14
Nsg15
VFALSE
p79235
sbNNNg8
(g9
g10
NtRp79236
(dp79237
g13
Nsg14
Nsg15
VFALSE
p79238
sbNNg8
(g9
g10
NtRp79239
(dp79240
g13
Nsg14
Nsg15
VFALSE
p79241
sbNNg8
(g9
g10
NtRp79242
(dp79243
g13
Nsg14
Nsg15
VFALSE
p79244
sbNg8
(g9
g10
NtRp79245
(dp79246
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-9a_dist_edt1.png
p79247
sbg8
(g9
g10
NtRp79248
(dp79249
g13
Nsg14
Nsg15
VEPSG:3035
p79250
sbg8
(g9
g10
NtRp79251
(dp79252
g13
Nsg14
Nsg15
V2019-06-04
p79253
sbNg8
(g9
g10
NtRp79254
(dp79255
g13
Nsg14
Nsg15
VHabitats and biotopes
p79256
sbg8
(g9
g10
NtRp79257
(dp79258
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p79259
sbg8
(g9
g10
NtRp79260
(dp79261
g13
Nsg14
Nsg15
Vvector
p79262
sbg8
(g9
g10
NtRp79263
(dp79264
g13
Nsg14
Nsg15
VSHP
p79265
sbNg8
(g9
g10
NtRp79266
(dp79267
g13
Nsg14
Nsg15
V1:10000000
p79268
sbNg8
(g9
g10
NtRp79269
(dp79270
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p79271
sbg8
(g9
g10
NtRp79272
(dp79273
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e6a88172-4256-4a06-8015-af210177efe6
p79274
sbg8
(g9
g10
NtRp79275
(dp79276
g13
Nsg14
g74
sg15
V1940
p79277
sbg8
(g9
g10
NtRp79278
(dp79279
g13
Nsg14
g74
sg15
V2011
p79280
sbg8
(g9
g10
NtRp79281
(dp79282
g13
Nsg14
Nsg15
VTRUE
p79283
sbg8
(g9
g10
NtRp79284
(dp79285
g13
Nsg14
Nsg15
VEurope
p79286
sbg8
(g9
g10
NtRp79287
(dp79288
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79289
sbg8
(g9
g10
NtRp79290
(dp79291
g13
Nsg14
Nsg15
VFALSE
p79292
sbg8
(g9
g10
NtRp79293
(dp79294
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79295
sbg8
(g9
g10
NtRp79296
(dp79297
g13
Nsg14
Nsg15
VFALSE
p79298
sbNNNNNNNg8
(g9
g10
NtRp79299
(dp79300
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79301
(dp79302
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79303
(dp79304
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-9a_1940-2011_rev01
p79305
sbNNtp79306
a(g8
(g9
g10
NtRp79307
(dp79308
g13
Nsg14
Nsg15
V191bb172-0235-4729-9660-17775ec606ed
p79309
sbNg8
(g9
g10
NtRp79310
(dp79311
g13
Nsg14
Nsg15
VEUNIS habitat type F6-2 distribution based on vegetation plot data - version 1, June 2016
p79312
sbNNNNNg8
(g9
g10
NtRp79313
(dp79314
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79315
sbg8
(g23
g10
NtRp79316
(dp79317
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79318
sbNg8
(g9
g10
NtRp79319
(dp79320
g13
Nsg14
Nsg15
VFALSE
p79321
sbNNNg8
(g9
g10
NtRp79322
(dp79323
g13
Nsg14
Nsg15
VFALSE
p79324
sbNNg8
(g9
g10
NtRp79325
(dp79326
g13
Nsg14
Nsg15
VFALSE
p79327
sbNNg8
(g9
g10
NtRp79328
(dp79329
g13
Nsg14
Nsg15
VFALSE
p79330
sbNg8
(g9
g10
NtRp79331
(dp79332
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-2_dist_edt1.png
p79333
sbg8
(g9
g10
NtRp79334
(dp79335
g13
Nsg14
Nsg15
VEPSG:3035
p79336
sbg8
(g9
g10
NtRp79337
(dp79338
g13
Nsg14
Nsg15
V2019-06-04
p79339
sbNg8
(g9
g10
NtRp79340
(dp79341
g13
Nsg14
Nsg15
VHabitats and biotopes
p79342
sbg8
(g9
g10
NtRp79343
(dp79344
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79345
sbg8
(g9
g10
NtRp79346
(dp79347
g13
Nsg14
Nsg15
Vvector
p79348
sbg8
(g9
g10
NtRp79349
(dp79350
g13
Nsg14
Nsg15
VSHP
p79351
sbNg8
(g9
g10
NtRp79352
(dp79353
g13
Nsg14
Nsg15
V1:10000000
p79354
sbNg8
(g9
g10
NtRp79355
(dp79356
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79357
sbg8
(g9
g10
NtRp79358
(dp79359
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/191bb172-0235-4729-9660-17775ec606ed
p79360
sbg8
(g9
g10
NtRp79361
(dp79362
g13
Nsg14
g74
sg15
V1940
p79363
sbg8
(g9
g10
NtRp79364
(dp79365
g13
Nsg14
g74
sg15
V2011
p79366
sbg8
(g9
g10
NtRp79367
(dp79368
g13
Nsg14
Nsg15
VTRUE
p79369
sbg8
(g9
g10
NtRp79370
(dp79371
g13
Nsg14
Nsg15
VEurope
p79372
sbg8
(g9
g10
NtRp79373
(dp79374
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79375
sbg8
(g9
g10
NtRp79376
(dp79377
g13
Nsg14
Nsg15
VFALSE
p79378
sbg8
(g9
g10
NtRp79379
(dp79380
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79381
sbg8
(g9
g10
NtRp79382
(dp79383
g13
Nsg14
Nsg15
VFALSE
p79384
sbNNNNNNNg8
(g9
g10
NtRp79385
(dp79386
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79387
(dp79388
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79389
(dp79390
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f6-2_1940-2011_rev01
p79391
sbNNtp79392
a(g8
(g9
g10
NtRp79393
(dp79394
g13
Nsg14
Nsg15
V5fca5975-e862-41a1-9a0e-4cd078555da1
p79395
sbNg8
(g9
g10
NtRp79396
(dp79397
g13
Nsg14
Nsg15
VEUNIS habitat type F1-1 distribution based on vegetation plot data - version 1, June 2016
p79398
sbNNNNNg8
(g9
g10
NtRp79399
(dp79400
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79401
sbg8
(g23
g10
NtRp79402
(dp79403
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79404
sbNg8
(g9
g10
NtRp79405
(dp79406
g13
Nsg14
Nsg15
VFALSE
p79407
sbNNNg8
(g9
g10
NtRp79408
(dp79409
g13
Nsg14
Nsg15
VFALSE
p79410
sbNNg8
(g9
g10
NtRp79411
(dp79412
g13
Nsg14
Nsg15
VFALSE
p79413
sbNNg8
(g9
g10
NtRp79414
(dp79415
g13
Nsg14
Nsg15
VFALSE
p79416
sbNg8
(g9
g10
NtRp79417
(dp79418
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F1-1_dist_edt1.png
p79419
sbg8
(g9
g10
NtRp79420
(dp79421
g13
Nsg14
Nsg15
VEPSG:3035
p79422
sbg8
(g9
g10
NtRp79423
(dp79424
g13
Nsg14
Nsg15
V2019-06-04
p79425
sbNg8
(g9
g10
NtRp79426
(dp79427
g13
Nsg14
Nsg15
VHabitats and biotopes
p79428
sbg8
(g9
g10
NtRp79429
(dp79430
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79431
sbg8
(g9
g10
NtRp79432
(dp79433
g13
Nsg14
Nsg15
Vvector
p79434
sbg8
(g9
g10
NtRp79435
(dp79436
g13
Nsg14
Nsg15
VSHP
p79437
sbNg8
(g9
g10
NtRp79438
(dp79439
g13
Nsg14
Nsg15
V1:10000000
p79440
sbNg8
(g9
g10
NtRp79441
(dp79442
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79443
sbg8
(g9
g10
NtRp79444
(dp79445
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fca5975-e862-41a1-9a0e-4cd078555da1
p79446
sbg8
(g9
g10
NtRp79447
(dp79448
g13
Nsg14
g74
sg15
V1940
p79449
sbg8
(g9
g10
NtRp79450
(dp79451
g13
Nsg14
g74
sg15
V2011
p79452
sbg8
(g9
g10
NtRp79453
(dp79454
g13
Nsg14
Nsg15
VTRUE
p79455
sbg8
(g9
g10
NtRp79456
(dp79457
g13
Nsg14
Nsg15
VEurope
p79458
sbg8
(g9
g10
NtRp79459
(dp79460
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79461
sbg8
(g9
g10
NtRp79462
(dp79463
g13
Nsg14
Nsg15
VFALSE
p79464
sbg8
(g9
g10
NtRp79465
(dp79466
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79467
sbg8
(g9
g10
NtRp79468
(dp79469
g13
Nsg14
Nsg15
VFALSE
p79470
sbNNNNNNNg8
(g9
g10
NtRp79471
(dp79472
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79473
(dp79474
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79475
(dp79476
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f1-1_1940-2011_rev01
p79477
sbNNtp79478
a(g8
(g9
g10
NtRp79479
(dp79480
g13
Nsg14
Nsg15
V64856826-dc6a-4cda-86ca-04a28ab81293
p79481
sbNg8
(g9
g10
NtRp79482
(dp79483
g13
Nsg14
Nsg15
VEUNIS habitat type B1-5a distribution based on vegetation plot data - version 1, June 2016
p79484
sbNNNNNg8
(g9
g10
NtRp79485
(dp79486
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79487
sbg8
(g23
g10
NtRp79488
(dp79489
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79490
sbNg8
(g9
g10
NtRp79491
(dp79492
g13
Nsg14
Nsg15
VFALSE
p79493
sbNNNg8
(g9
g10
NtRp79494
(dp79495
g13
Nsg14
Nsg15
VFALSE
p79496
sbNNg8
(g9
g10
NtRp79497
(dp79498
g13
Nsg14
Nsg15
VFALSE
p79499
sbNNg8
(g9
g10
NtRp79500
(dp79501
g13
Nsg14
Nsg15
VFALSE
p79502
sbNg8
(g9
g10
NtRp79503
(dp79504
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5a_dist_edt1.png
p79505
sbg8
(g9
g10
NtRp79506
(dp79507
g13
Nsg14
Nsg15
VEPSG:3035
p79508
sbg8
(g9
g10
NtRp79509
(dp79510
g13
Nsg14
Nsg15
V2019-06-04
p79511
sbNg8
(g9
g10
NtRp79512
(dp79513
g13
Nsg14
Nsg15
VHabitats and biotopes
p79514
sbg8
(g9
g10
NtRp79515
(dp79516
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p79517
sbg8
(g9
g10
NtRp79518
(dp79519
g13
Nsg14
Nsg15
Vvector
p79520
sbg8
(g9
g10
NtRp79521
(dp79522
g13
Nsg14
Nsg15
VSHP
p79523
sbNg8
(g9
g10
NtRp79524
(dp79525
g13
Nsg14
Nsg15
V1:10000000
p79526
sbNg8
(g9
g10
NtRp79527
(dp79528
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79529
sbg8
(g9
g10
NtRp79530
(dp79531
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/64856826-dc6a-4cda-86ca-04a28ab81293
p79532
sbg8
(g9
g10
NtRp79533
(dp79534
g13
Nsg14
g74
sg15
V1940
p79535
sbg8
(g9
g10
NtRp79536
(dp79537
g13
Nsg14
g74
sg15
V2011
p79538
sbg8
(g9
g10
NtRp79539
(dp79540
g13
Nsg14
Nsg15
VTRUE
p79541
sbg8
(g9
g10
NtRp79542
(dp79543
g13
Nsg14
Nsg15
VEurope
p79544
sbg8
(g9
g10
NtRp79545
(dp79546
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79547
sbg8
(g9
g10
NtRp79548
(dp79549
g13
Nsg14
Nsg15
VFALSE
p79550
sbg8
(g9
g10
NtRp79551
(dp79552
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79553
sbg8
(g9
g10
NtRp79554
(dp79555
g13
Nsg14
Nsg15
VFALSE
p79556
sbNNNNNNNg8
(g9
g10
NtRp79557
(dp79558
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79559
(dp79560
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79561
(dp79562
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b1-5a_1940-2011_rev01
p79563
sbNNtp79564
a(g8
(g9
g10
NtRp79565
(dp79566
g13
Nsg14
Nsg15
Vb7e1588d-723a-4ec6-a595-3fb9df91840c
p79567
sbNg8
(g9
g10
NtRp79568
(dp79569
g13
Nsg14
Nsg15
VEUNIS habitat type F2.2c, predicted habitat suitability - version 1, June 2016
p79570
sbNNNNNg8
(g9
g10
NtRp79571
(dp79572
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: Balkan region\u000a			Remarks: Insufficient data to create a model.
p79573
sbg8
(g23
g10
NtRp79574
(dp79575
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79576
sbNg8
(g9
g10
NtRp79577
(dp79578
g13
Nsg14
Nsg15
VFALSE
p79579
sbNNNg8
(g9
g10
NtRp79580
(dp79581
g13
Nsg14
Nsg15
VFALSE
p79582
sbNNg8
(g9
g10
NtRp79583
(dp79584
g13
Nsg14
Nsg15
VFALSE
p79585
sbNNg8
(g9
g10
NtRp79586
(dp79587
g13
Nsg14
Nsg15
VFALSE
p79588
sbNg8
(g9
g10
NtRp79589
(dp79590
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2c_random_bg_ed1.png
p79591
sbg8
(g9
g10
NtRp79592
(dp79593
g13
Nsg14
Nsg15
VEPSG:3035
p79594
sbg8
(g9
g10
NtRp79595
(dp79596
g13
Nsg14
Nsg15
V2019-06-04
p79597
sbNg8
(g9
g10
NtRp79598
(dp79599
g13
Nsg14
Nsg15
VHabitats and biotopes
p79600
sbg8
(g9
g10
NtRp79601
(dp79602
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79603
sbg8
(g9
g10
NtRp79604
(dp79605
g13
Nsg14
Nsg15
Vgrid
p79606
sbg8
(g9
g10
NtRp79607
(dp79608
g13
Nsg14
Nsg15
VGTiff
p79609
sbNg8
(g9
g10
NtRp79610
(dp79611
g13
Nsg14
Nsg15
V1000m
p79612
sbNg8
(g9
g10
NtRp79613
(dp79614
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Pinus mugo does not occur in Scandinavia and therefore the prediction in this area should be ignored.\u000a          \u000a          Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. 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It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 959\u000aRegularized training gain: 1.33\u000aUnregularized training gain: 1.4939\u000aIterations: 500\u000aTraining AUC: 0.9143\u000a#Test samples: 106\u000aTest gain: 1.5115\u000aTest AUC: 0.9149\u000aAUC Standard Deviation: 0.009\u000a#Background points: 5453\u000abio_12_etrs2_ras contribution: 2.7221\u000abio_15_etrs2_ras contribution: 2.6403\u000abio_18_etrs2_ras contribution: 43.9529\u000abio_4_etrs2_ras contribution: 13.1648\u000abio_8_etrs2_ras contribution: 1.5025\u000abld_m_sd1_1km_eu_ll contribution: 7.3518\u000acecsum_m_sd1_1km_eu_ll contribution: 0.9019\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.3665\u000acrfvol_m_sd1_1km_eu_ll contribution: 9.3161\u000adist2water1km contribution: 0.7246\u000aorcdrc_m_sd1_1km_eu_ll contribution: 11.0593\u000apet_he_yr contribution: 1.8856\u000asltppt_m_sd1_1km_eu_ll contribution: 2.9277\u000asndppt_m_sd1_1km_eu_ll contribution: 0.069\u000asolar_1km contribution: 1.415\u000abio_12_etrs2_ras permutation importance: 11.1987\u000abio_15_etrs2_ras permutation importance: 0.952\u000abio_18_etrs2_ras permutation importance: 15.0502\u000abio_4_etrs2_ras permutation importance: 24.8976\u000abio_8_etrs2_ras permutation importance: 5.7478\u000abld_m_sd1_1km_eu_ll permutation importance: 0.6055\u000acecsum_m_sd1_1km_eu_ll permutation importance: 8.6279\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.3552\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 5.9339\u000adist2water1km permutation importance: 0.9175\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 5.3257\u000apet_he_yr permutation importance: 7.2263\u000asltppt_m_sd1_1km_eu_ll permutation importance: 11.13\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.6911\u000asolar_1km permutation importance: 1.3406\u000aTraining gain without bio_12_etrs2_ras: 1.315\u000aTraining gain without bio_15_etrs2_ras: 1.326\u000aTraining gain without bio_18_etrs2_ras: 1.3107\u000aTraining gain without bio_4_etrs2_ras: 1.2923\u000aTraining gain without bio_8_etrs2_ras: 1.3147\u000aTraining gain without bld_m_sd1_1km_eu_ll: 1.3269\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 1.3242\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 1.3277\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 1.3108\u000aTraining gain without dist2water1km: 1.3253\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.325\u000aTraining gain without pet_he_yr: 1.3172\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 1.3217\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 1.33\u000aTraining gain without solar_1km: 1.3177\u000aTraining gain with only bio_12_etrs2_ras: 0.5502\u000aTraining gain with only bio_15_etrs2_ras: 0.2579\u000aTraining gain with only bio_18_etrs2_ras: 0.945\u000aTraining gain with only bio_4_etrs2_ras: 0.6296\u000aTraining gain with only bio_8_etrs2_ras: 0.2839\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.7874\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.7465\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.2094\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.7232\u000aTraining gain with only dist2water1km: 0.103\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.6591\u000aTraining gain with only pet_he_yr: 0.6047\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.4062\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.3865\u000aTraining gain with only solar_1km: 0.6498\u000aTest gain without bio_12_etrs2_ras: 1.4832\u000aTest gain without bio_15_etrs2_ras: 1.4958\u000aTest gain without bio_18_etrs2_ras: 1.477\u000aTest gain without bio_4_etrs2_ras: 1.5175\u000aTest gain without bio_8_etrs2_ras: 1.4851\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.523\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.511\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.5106\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.4889\u000aTest gain without dist2water1km: 1.4955\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.5132\u000aTest gain without pet_he_yr: 1.5072\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.5019\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.5138\u000aTest gain without solar_1km: 1.521\u000aTest gain with only bio_12_etrs2_ras: 0.6841\u000aTest gain with only bio_15_etrs2_ras: 0.3615\u000aTest gain with only bio_18_etrs2_ras: 1.0659\u000aTest gain with only bio_4_etrs2_ras: 0.6307\u000aTest gain with only bio_8_etrs2_ras: 0.3726\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.8659\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.7941\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.2548\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8805\u000aTest gain with only dist2water1km: 0.2401\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.7094\u000aTest gain with only pet_he_yr: 0.6775\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.4683\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.4205\u000aTest gain with only solar_1km: 0.802\u000aAUC without bio_12_etrs2_ras: 0.9116\u000aAUC without bio_15_etrs2_ras: 0.9146\u000aAUC without bio_18_etrs2_ras: 0.9123\u000aAUC without bio_4_etrs2_ras: 0.9165\u000aAUC without bio_8_etrs2_ras: 0.9128\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9168\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9155\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9159\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9141\u000aAUC without dist2water1km: 0.9148\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9158\u000aAUC without pet_he_yr: 0.9143\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9138\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9153\u000aAUC without solar_1km: 0.9156\u000aAUC with only bio_12_etrs2_ras: 0.8091\u000aAUC with only bio_15_etrs2_ras: 0.7355\u000aAUC with only bio_18_etrs2_ras: 0.8727\u000aAUC with only bio_4_etrs2_ras: 0.7958\u000aAUC with only bio_8_etrs2_ras: 0.7315\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.841\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.8275\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.6895\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.8461\u000aAUC with only dist2water1km: 0.6871\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8133\u000aAUC with only pet_he_yr: 0.8103\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.738\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.7247\u000aAUC with only solar_1km: 0.8229\u000aEntropy: 7.2763\u000aPrevalence (average of logistic output over background sites): 0.1296\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.034\u000aFixed cumulative value 1 area: 0.367\u000aFixed cumulative value 1 training omission: 0.0042\u000aFixed cumulative value 1 test omission: 0.0094\u000aFixed cumulative value 1 binomial probability: 8.71E-41\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1737\u000aFixed cumulative value 5 area: 0.2624\u000aFixed cumulative value 5 training omission: 0.0198\u000aFixed cumulative value 5 test omission: 0.0189\u000aFixed cumulative value 5 binomial probability: 8.86E-64\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2778\u000aFixed cumulative value 10 area: 0.218\u000aFixed cumulative value 10 training omission: 0.0605\u000aFixed cumulative value 10 test omission: 0.066\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.1331\u000aMinimum training presence logistic threshold: 0.0029\u000aMinimum training presence area: 0.5764\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0094\u000aMinimum training presence binomial probability: 3.07E-18\u000a10 percentile training presence cumulative threshold: 14.8042\u000a10 percentile training presence logistic threshold: 0.3391\u000a10 percentile training presence area: 0.1894\u000a10 percentile training presence training omission: 0.098\u000a10 percentile training presence test omission: 0.1038\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 20.4419\u000aEqual training sensitivity and specificity logistic threshold: 0.4021\u000aEqual training sensitivity and specificity area: 0.1638\u000aEqual training sensitivity and specificity training omission: 0.1637\u000aEqual training sensitivity and specificity test omission: 0.1604\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 11.9667\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3043\u000aMaximum training sensitivity plus specificity area: 0.2052\u000aMaximum training sensitivity plus specificity training omission: 0.0657\u000aMaximum training sensitivity plus specificity test omission: 0.0755\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 21.2496\u000aEqual test sensitivity and specificity logistic threshold: 0.4111\u000aEqual test sensitivity and specificity area: 0.1608\u000aEqual test sensitivity and specificity training omission: 0.1741\u000aEqual test sensitivity and specificity test omission: 0.1604\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 9.9828\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2778\u000aMaximum test sensitivity plus specificity area: 0.2182\u000aMaximum test sensitivity plus specificity training omission: 0.0594\u000aMaximum test sensitivity plus specificity test omission: 0.0472\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.1433\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0811\u000aBalance training omission, predicted area and threshold value area: 0.3151\u000aBalance training omission, predicted area and threshold value training omission: 0.0052\u000aBalance training omission, predicted area and threshold value test omission: 0.0094\u000aBalance training omission, predicted area and threshold value binomial probability: 5.64E-51\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.8118\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1689\u000aEquate entropy of thresholded and original distributions area: 0.265\u000aEquate entropy of thresholded and original distributions training omission: 0.0188\u000aEquate entropy of thresholded and original distributions test omission: 0.0189\u000aEquate entropy of thresholded and original distributions binomial probability: 5.86E-63
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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g10
NtRp79761
(dp79762
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_forest_bg_ed1.png
p79763
sbg8
(g9
g10
NtRp79764
(dp79765
g13
Nsg14
Nsg15
VEPSG:3035
p79766
sbg8
(g9
g10
NtRp79767
(dp79768
g13
Nsg14
Nsg15
V2019-06-04
p79769
sbNg8
(g9
g10
NtRp79770
(dp79771
g13
Nsg14
Nsg15
VHabitats and biotopes
p79772
sbg8
(g9
g10
NtRp79773
(dp79774
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p79775
sbg8
(g9
g10
NtRp79776
(dp79777
g13
Nsg14
Nsg15
Vgrid
p79778
sbg8
(g9
g10
NtRp79779
(dp79780
g13
Nsg14
Nsg15
VAAIGrid
p79781
sbNg8
(g9
g10
NtRp79782
(dp79783
g13
Nsg14
Nsg15
V1000m
p79784
sbNg8
(g9
g10
NtRp79785
(dp79786
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 850\u000aRegularized training gain: 1.579\u000aUnregularized training gain: 1.6753\u000aIterations: 500\u000aTraining AUC: 0.9318\u000a#Test samples: 94\u000aTest gain: 1.4433\u000aTest AUC: 0.9149\u000aAUC Standard Deviation: 0.0084\u000a#Background points: 10542\u000abio_12_etrs2_ras contribution: 0.3599\u000abio_15_etrs2_ras contribution: 2.2413\u000abio_18_etrs2_ras contribution: 28.0611\u000abio_4_etrs2_ras contribution: 9.4465\u000abio_8_etrs2_ras contribution: 3.8968\u000adist2water1km contribution: 0.4626\u000apet_he_yr contribution: 53.4946\u000asoil_ph contribution: 0.4755\u000asolar_1km contribution: 1.5617\u000abio_12_etrs2_ras permutation importance: 0.1612\u000abio_15_etrs2_ras permutation importance: 2.9464\u000abio_18_etrs2_ras permutation importance: 24.0044\u000abio_4_etrs2_ras permutation importance: 8.3821\u000abio_8_etrs2_ras permutation importance: 6.1187\u000adist2water1km permutation importance: 0.448\u000apet_he_yr permutation importance: 56.7382\u000asoil_ph permutation importance: 0.5336\u000asolar_1km permutation importance: 0.6673\u000aTraining gain without bio_12_etrs2_ras: 1.58\u000aTraining gain without bio_15_etrs2_ras: 1.5636\u000aTraining gain without bio_18_etrs2_ras: 1.5626\u000aTraining gain without bio_4_etrs2_ras: 1.4877\u000aTraining gain without bio_8_etrs2_ras: 1.5611\u000aTraining gain without dist2water1km: 1.5766\u000aTraining gain without pet_he_yr: 1.4338\u000aTraining gain without soil_ph: 1.5758\u000aTraining gain without solar_1km: 1.5753\u000aTraining gain with only bio_12_etrs2_ras: 0.2344\u000aTraining gain with only bio_15_etrs2_ras: 0.4425\u000aTraining gain with only bio_18_etrs2_ras: 1.051\u000aTraining gain with only bio_4_etrs2_ras: 0.1817\u000aTraining gain with only bio_8_etrs2_ras: 0.4426\u000aTraining gain with only dist2water1km: 0.1343\u000aTraining gain with only pet_he_yr: 1.1858\u000aTraining gain with only soil_ph: 0.2315\u000aTraining gain with only solar_1km: 0.322\u000aTest gain without bio_12_etrs2_ras: 1.4474\u000aTest gain without bio_15_etrs2_ras: 1.4183\u000aTest gain without bio_18_etrs2_ras: 1.4275\u000aTest gain without bio_4_etrs2_ras: 1.3652\u000aTest gain without bio_8_etrs2_ras: 1.427\u000aTest gain without dist2water1km: 1.424\u000aTest gain without pet_he_yr: 1.3804\u000aTest gain without soil_ph: 1.4429\u000aTest gain without solar_1km: 1.4579\u000aTest gain with only bio_12_etrs2_ras: 0.2554\u000aTest gain with only bio_15_etrs2_ras: 0.621\u000aTest gain with only bio_18_etrs2_ras: 1.0381\u000aTest gain with only bio_4_etrs2_ras: 0.1858\u000aTest gain with only bio_8_etrs2_ras: 0.3027\u000aTest gain with only dist2water1km: 0.3277\u000aTest gain with only pet_he_yr: 1.017\u000aTest gain with only soil_ph: 0.2343\u000aTest gain with only solar_1km: 0.2003\u000aAUC without bio_12_etrs2_ras: 0.9153\u000aAUC without bio_15_etrs2_ras: 0.9124\u000aAUC without bio_18_etrs2_ras: 0.9141\u000aAUC without bio_4_etrs2_ras: 0.9074\u000aAUC without bio_8_etrs2_ras: 0.9127\u000aAUC without dist2water1km: 0.9133\u000aAUC without pet_he_yr: 0.9073\u000aAUC without soil_ph: 0.9149\u000aAUC without solar_1km: 0.9161\u000aAUC with only bio_12_etrs2_ras: 0.6422\u000aAUC with only bio_15_etrs2_ras: 0.7525\u000aAUC with only bio_18_etrs2_ras: 0.8578\u000aAUC with only bio_4_etrs2_ras: 0.6673\u000aAUC with only bio_8_etrs2_ras: 0.7115\u000aAUC with only dist2water1km: 0.7243\u000aAUC with only pet_he_yr: 0.8699\u000aAUC with only soil_ph: 0.6524\u000aAUC with only solar_1km: 0.6632\u000aEntropy: 7.6952\u000aPrevalence (average of logistic output over background sites): 0.1001\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0136\u000aFixed cumulative value 1 area: 0.435\u000aFixed cumulative value 1 training omission: 0.0024\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.11E-28\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1087\u000aFixed cumulative value 5 area: 0.2298\u000aFixed cumulative value 5 training omission: 0.0247\u000aFixed cumulative value 5 test omission: 0.0532\u000aFixed cumulative value 5 binomial probability: 1.28E-61\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2088\u000aFixed cumulative value 10 area: 0.1745\u000aFixed cumulative value 10 training omission: 0.0647\u000aFixed cumulative value 10 test omission: 0.0957\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0896\u000aMinimum training presence logistic threshold: 0.0021\u000aMinimum training presence area: 0.7104\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.00E-10\u000a10 percentile training presence cumulative threshold: 14.1528\u000a10 percentile training presence logistic threshold: 0.2821\u000a10 percentile training presence area: 0.148\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.1702\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 17.606\u000aEqual training sensitivity and specificity logistic threshold: 0.3326\u000aEqual training sensitivity and specificity area: 0.1319\u000aEqual training sensitivity and specificity training omission: 0.1318\u000aEqual training sensitivity and specificity test omission: 0.2021\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.9669\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1891\u000aMaximum training sensitivity plus specificity area: 0.1832\u000aMaximum training sensitivity plus specificity training omission: 0.0482\u000aMaximum training sensitivity plus specificity test omission: 0.0851\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 13.5167\u000aEqual test sensitivity and specificity logistic threshold: 0.2725\u000aEqual test sensitivity and specificity area: 0.1514\u000aEqual test sensitivity and specificity training omission: 0.0953\u000aEqual test sensitivity and specificity test omission: 0.1489\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 11.4636\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2374\u000aMaximum test sensitivity plus specificity area: 0.1638\u000aMaximum test sensitivity plus specificity training omission: 0.0706\u000aMaximum test sensitivity plus specificity test omission: 0.0957\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.5256\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0424\u000aBalance training omission, predicted area and threshold value area: 0.299\u000aBalance training omission, predicted area and threshold value training omission: 0.0094\u000aBalance training omission, predicted area and threshold value test omission: 0.0426\u000aBalance training omission, predicted area and threshold value binomial probability: 1.70E-44\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.5111\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1464\u000aEquate entropy of thresholded and original distributions area: 0.2084\u000aEquate entropy of thresholded and original distributions training omission: 0.0365\u000aEquate entropy of thresholded and original distributions test omission: 0.0745\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p79787
sbg8
(g9
g10
NtRp79788
(dp79789
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744c9856-3769-4e93-8631-41e4e6e16a1b
p79790
sbg8
(g9
g10
NtRp79791
(dp79792
g13
Nsg14
g74
sg15
V1940
p79793
sbg8
(g9
g10
NtRp79794
(dp79795
g13
Nsg14
g74
sg15
V2011
p79796
sbg8
(g9
g10
NtRp79797
(dp79798
g13
Nsg14
Nsg15
VTRUE
p79799
sbg8
(g9
g10
NtRp79800
(dp79801
g13
Nsg14
Nsg15
VEurope
p79802
sbg8
(g9
g10
NtRp79803
(dp79804
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79805
sbg8
(g9
g10
NtRp79806
(dp79807
g13
Nsg14
Nsg15
VFALSE
p79808
sbg8
(g9
g10
NtRp79809
(dp79810
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79811
sbg8
(g9
g10
NtRp79812
(dp79813
g13
Nsg14
Nsg15
VFALSE
p79814
sbNNNNNNNg8
(g9
g10
NtRp79815
(dp79816
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79817
(dp79818
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79819
(dp79820
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g1-3_1940-2011_rev01
p79821
sbNNtp79822
a(g8
(g9
g10
NtRp79823
(dp79824
g13
Nsg14
Nsg15
Vd458b537-93ed-40e6-8bcc-0849dbfbc137
p79825
sbNg8
(g9
g10
NtRp79826
(dp79827
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1g distribution based on vegetation plot data - version 1, June 2016
p79828
sbNNNNNg8
(g9
g10
NtRp79829
(dp79830
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p79831
sbg8
(g23
g10
NtRp79832
(dp79833
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79834
sbNg8
(g9
g10
NtRp79835
(dp79836
g13
Nsg14
Nsg15
VFALSE
p79837
sbNNNg8
(g9
g10
NtRp79838
(dp79839
g13
Nsg14
Nsg15
VFALSE
p79840
sbNNg8
(g9
g10
NtRp79841
(dp79842
g13
Nsg14
Nsg15
VFALSE
p79843
sbNNg8
(g9
g10
NtRp79844
(dp79845
g13
Nsg14
Nsg15
VFALSE
p79846
sbNg8
(g9
g10
NtRp79847
(dp79848
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_dist_edt1.png
p79849
sbg8
(g9
g10
NtRp79850
(dp79851
g13
Nsg14
Nsg15
VEPSG:3035
p79852
sbg8
(g9
g10
NtRp79853
(dp79854
g13
Nsg14
Nsg15
V2019-06-04
p79855
sbNg8
(g9
g10
NtRp79856
(dp79857
g13
Nsg14
Nsg15
VHabitats and biotopes
p79858
sbg8
(g9
g10
NtRp79859
(dp79860
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p79861
sbg8
(g9
g10
NtRp79862
(dp79863
g13
Nsg14
Nsg15
Vvector
p79864
sbg8
(g9
g10
NtRp79865
(dp79866
g13
Nsg14
Nsg15
VSHP
p79867
sbNg8
(g9
g10
NtRp79868
(dp79869
g13
Nsg14
Nsg15
V1:10000000
p79870
sbNg8
(g9
g10
NtRp79871
(dp79872
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p79873
sbg8
(g9
g10
NtRp79874
(dp79875
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d458b537-93ed-40e6-8bcc-0849dbfbc137
p79876
sbg8
(g9
g10
NtRp79877
(dp79878
g13
Nsg14
g74
sg15
V1940
p79879
sbg8
(g9
g10
NtRp79880
(dp79881
g13
Nsg14
g74
sg15
V2011
p79882
sbg8
(g9
g10
NtRp79883
(dp79884
g13
Nsg14
Nsg15
VTRUE
p79885
sbg8
(g9
g10
NtRp79886
(dp79887
g13
Nsg14
Nsg15
VEurope
p79888
sbg8
(g9
g10
NtRp79889
(dp79890
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79891
sbg8
(g9
g10
NtRp79892
(dp79893
g13
Nsg14
Nsg15
VFALSE
p79894
sbg8
(g9
g10
NtRp79895
(dp79896
g13
Nsg14
Nsg15
VEuropean Environment Agency
p79897
sbg8
(g9
g10
NtRp79898
(dp79899
g13
Nsg14
Nsg15
VFALSE
p79900
sbNNNNNNNg8
(g9
g10
NtRp79901
(dp79902
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp79903
(dp79904
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79905
(dp79906
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1g_1940-2011_rev01
p79907
sbNNtp79908
a(g8
(g9
g10
NtRp79909
(dp79910
g13
Nsg14
Nsg15
Vd7e94bfb-caa9-4449-87ed-146de0aa0fd0
p79911
sbNg8
(g9
g10
NtRp79912
(dp79913
g13
Nsg14
Nsg15
VEUNIS habitat type G1.1, predicted distribution of habitat suitability - version 1, Jan. 2015
p79914
sbNNNNNg8
(g9
g10
NtRp79915
(dp79916
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p79917
sbg8
(g23
g10
NtRp79918
(dp79919
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p79920
sbNg8
(g9
g10
NtRp79921
(dp79922
g13
Nsg14
Nsg15
VFALSE
p79923
sbNNNg8
(g9
g10
NtRp79924
(dp79925
g13
Nsg14
Nsg15
VFALSE
p79926
sbNNg8
(g9
g10
NtRp79927
(dp79928
g13
Nsg14
Nsg15
VFALSE
p79929
sbNNg8
(g9
g10
NtRp79930
(dp79931
g13
Nsg14
Nsg15
VFALSE
p79932
sbNg8
(g9
g10
NtRp79933
(dp79934
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_forest_bg_ed1.png
p79935
sbg8
(g9
g10
NtRp79936
(dp79937
g13
Nsg14
Nsg15
VEPSG:3035
p79938
sbg8
(g9
g10
NtRp79939
(dp79940
g13
Nsg14
Nsg15
V2019-06-04
p79941
sbNg8
(g9
g10
NtRp79942
(dp79943
g13
Nsg14
Nsg15
VHabitats and biotopes
p79944
sbg8
(g9
g10
NtRp79945
(dp79946
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p79947
sbg8
(g9
g10
NtRp79948
(dp79949
g13
Nsg14
Nsg15
Vgrid
p79950
sbg8
(g9
g10
NtRp79951
(dp79952
g13
Nsg14
Nsg15
VAAIGrid
p79953
sbNg8
(g9
g10
NtRp79954
(dp79955
g13
Nsg14
Nsg15
V1000m
p79956
sbNg8
(g9
g10
NtRp79957
(dp79958
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1489\u000aRegularized training gain: 0.8786\u000aUnregularized training gain: 0.9883\u000aIterations: 500\u000aTraining AUC: 0.8625\u000a#Test samples: 165\u000aTest gain: 0.9143\u000aTest AUC: 0.8529\u000aAUC Standard Deviation: 0.0119\u000a#Background points: 11169\u000abio_12_etrs2_ras contribution: 11.4437\u000abio_15_etrs2_ras contribution: 1.3648\u000abio_18_etrs2_ras contribution: 2.8407\u000abio_4_etrs2_ras contribution: 4.7345\u000abio_8_etrs2_ras contribution: 0.6319\u000adist2water1km contribution: 40.9207\u000apet_he_yr contribution: 1.6611\u000asoil_ph contribution: 10.1855\u000asolar_1km contribution: 26.2171\u000abio_12_etrs2_ras permutation importance: 11.3268\u000abio_15_etrs2_ras permutation importance: 1.6465\u000abio_18_etrs2_ras permutation importance: 4.6985\u000abio_4_etrs2_ras permutation importance: 7.5938\u000abio_8_etrs2_ras permutation importance: 1.8004\u000adist2water1km permutation importance: 25.7202\u000apet_he_yr permutation importance: 5.9374\u000asoil_ph permutation importance: 4.1727\u000asolar_1km permutation importance: 37.1036\u000aTraining gain without bio_12_etrs2_ras: 0.8633\u000aTraining gain without bio_15_etrs2_ras: 0.8734\u000aTraining gain without bio_18_etrs2_ras: 0.8679\u000aTraining gain without bio_4_etrs2_ras: 0.8463\u000aTraining gain without bio_8_etrs2_ras: 0.8761\u000aTraining gain without dist2water1km: 0.7448\u000aTraining gain without pet_he_yr: 0.8665\u000aTraining gain without soil_ph: 0.8534\u000aTraining gain without solar_1km: 0.7982\u000aTraining gain with only bio_12_etrs2_ras: 0.25\u000aTraining gain with only bio_15_etrs2_ras: 0.0653\u000aTraining gain with only bio_18_etrs2_ras: 0.2028\u000aTraining gain with only bio_4_etrs2_ras: 0.1288\u000aTraining gain with only bio_8_etrs2_ras: 0.1852\u000aTraining gain with only dist2water1km: 0.4387\u000aTraining gain with only pet_he_yr: 0.1225\u000aTraining gain with only soil_ph: 0.2414\u000aTraining gain with only solar_1km: 0.4196\u000aTest gain without bio_12_etrs2_ras: 0.8848\u000aTest gain without bio_15_etrs2_ras: 0.9116\u000aTest gain without bio_18_etrs2_ras: 0.8876\u000aTest gain without bio_4_etrs2_ras: 0.8892\u000aTest gain without bio_8_etrs2_ras: 0.914\u000aTest gain without dist2water1km: 0.8281\u000aTest gain without pet_he_yr: 0.8798\u000aTest gain without soil_ph: 0.8666\u000aTest gain without solar_1km: 0.8736\u000aTest gain with only bio_12_etrs2_ras: 0.2876\u000aTest gain with only bio_15_etrs2_ras: 0.0824\u000aTest gain with only bio_18_etrs2_ras: 0.2579\u000aTest gain with only bio_4_etrs2_ras: 0.1585\u000aTest gain with only bio_8_etrs2_ras: 0.216\u000aTest gain with only dist2water1km: 0.4202\u000aTest gain with only pet_he_yr: 0.1535\u000aTest gain with only soil_ph: 0.3495\u000aTest gain with only solar_1km: 0.4271\u000aAUC without bio_12_etrs2_ras: 0.8481\u000aAUC without bio_15_etrs2_ras: 0.8526\u000aAUC without bio_18_etrs2_ras: 0.8481\u000aAUC without bio_4_etrs2_ras: 0.8484\u000aAUC without bio_8_etrs2_ras: 0.8531\u000aAUC without dist2water1km: 0.8363\u000aAUC without pet_he_yr: 0.8472\u000aAUC without soil_ph: 0.8453\u000aAUC without solar_1km: 0.8467\u000aAUC with only bio_12_etrs2_ras: 0.7044\u000aAUC with only bio_15_etrs2_ras: 0.5956\u000aAUC with only bio_18_etrs2_ras: 0.6875\u000aAUC with only bio_4_etrs2_ras: 0.6473\u000aAUC with only bio_8_etrs2_ras: 0.6719\u000aAUC with only dist2water1km: 0.7473\u000aAUC with only pet_he_yr: 0.6419\u000aAUC with only soil_ph: 0.6934\u000aAUC with only solar_1km: 0.7506\u000aEntropy: 8.4433\u000aPrevalence (average of logistic output over background sites): 0.2021\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0405\u000aFixed cumulative value 1 area: 0.7597\u000aFixed cumulative value 1 training omission: 0.0094\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.51E-13\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1056\u000aFixed cumulative value 5 area: 0.5452\u000aFixed cumulative value 5 training omission: 0.0383\u000aFixed cumulative value 5 test omission: 0.0182\u000aFixed cumulative value 5 binomial probability: 9.91E-30\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1685\u000aFixed cumulative value 10 area: 0.4134\u000aFixed cumulative value 10 training omission: 0.0779\u000aFixed cumulative value 10 test omission: 0.097\u000aFixed cumulative value 10 binomial probability: 1.17E-37\u000aMinimum training presence cumulative threshold: 0.0001\u000aMinimum training presence logistic threshold: 0.0003\u000aMinimum training presence area: 0.998\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.84E-01\u000a10 percentile training presence cumulative threshold: 13.3513\u000a10 percentile training presence logistic threshold: 0.206\u000a10 percentile training presence area: 0.3526\u000a10 percentile training presence training omission: 0.0994\u000a10 percentile training presence test omission: 0.1152\u000a10 percentile training presence binomial probability: 9.44E-47\u000aEqual training sensitivity and specificity cumulative threshold: 27.0575\u000aEqual training sensitivity and specificity logistic threshold: 0.3563\u000aEqual training sensitivity and specificity area: 0.2008\u000aEqual training sensitivity and specificity training omission: 0.2008\u000aEqual training sensitivity and specificity test omission: 0.2545\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 25.7803\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3404\u000aMaximum training sensitivity plus specificity area: 0.2108\u000aMaximum training sensitivity plus specificity training omission: 0.188\u000aMaximum training sensitivity plus specificity test omission: 0.2424\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 24.1451\u000aEqual test sensitivity and specificity logistic threshold: 0.3221\u000aEqual test sensitivity and specificity area: 0.2245\u000aEqual test sensitivity and specificity training omission: 0.178\u000aEqual test sensitivity and specificity test omission: 0.2242\u000aEqual test sensitivity and specificity binomial probability: 6.52E-65\u000aMaximum test sensitivity plus specificity cumulative threshold: 19.5854\u000aMaximum test sensitivity plus specificity logistic threshold: 0.273\u000aMaximum test sensitivity plus specificity area: 0.2696\u000aMaximum test sensitivity plus specificity training omission: 0.1357\u000aMaximum test sensitivity plus specificity test omission: 0.1636\u000aMaximum test sensitivity plus specificity binomial probability: 8.56E-61\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.8408\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0756\u000aBalance training omission, predicted area and threshold value area: 0.636\u000aBalance training omission, predicted area and threshold value training omission: 0.0215\u000aBalance training omission, predicted area and threshold value test omission: 0.0121\u000aBalance training omission, predicted area and threshold value binomial probability: 2.91E-21\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.8948\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1678\u000aEquate entropy of thresholded and original distributions area: 0.4156\u000aEquate entropy of thresholded and original distributions training omission: 0.0779\u000aEquate entropy of thresholded and original distributions test omission: 0.097\u000aEquate entropy of thresholded and original distributions binomial probability: 2.80E-37
p79959
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d7e94bfb-caa9-4449-87ed-146de0aa0fd0
p79962
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V1940
p79965
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V2011
p79968
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VTRUE
p79971
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VEurope
p79974
sbg8
(g9
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(dp79976
g13
Nsg14
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p79977
sbg8
(g9
g10
NtRp79978
(dp79979
g13
Nsg14
Nsg15
VFALSE
p79980
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VEuropean Environment Agency
p79983
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Nsg15
VFALSE
p79986
sbNNNNNNNg8
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(dp79988
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V
sbg8
(g9
g10
NtRp79989
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp79991
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Nsg14
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Veea_r_3035_1_km_eunis-hab-g1-1_1940-2011_rev01
p79993
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V0dd3dbf1-9511-48bf-88c8-60e4287f71f0
p79997
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VEUNIS habitat type G3.4b, predicted distribution of habitat suitability - version 1, Jan. 2015
p80000
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NtRp80001
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80006
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(g9
g10
NtRp80007
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VFALSE
p80009
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VFALSE
p80012
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VFALSE
p80015
sbNNg8
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_random_bg_ed1.png
p80021
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g10
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VEPSG:3035
p80024
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g10
NtRp80025
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Nsg14
Nsg15
V2019-06-04
p80027
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g10
NtRp80028
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VHabitats and biotopes
p80030
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NtRp80031
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Nsg14
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Vforest|natural area|terrestrial ecosystem
p80033
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(g9
g10
NtRp80034
(dp80035
g13
Nsg14
Nsg15
Vgrid
p80036
sbg8
(g9
g10
NtRp80037
(dp80038
g13
Nsg14
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VAAIGrid
p80039
sbNg8
(g9
g10
NtRp80040
(dp80041
g13
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V1000m
p80042
sbNg8
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g10
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 626\u000aRegularized training gain: 1.7\u000aUnregularized training gain: 1.8107\u000aIterations: 500\u000aTraining AUC: 0.9407\u000a#Test samples: 69\u000aTest gain: 1.5297\u000aTest AUC: 0.9227\u000aAUC Standard Deviation: 0.0093\u000a#Background points: 10625\u000abio_12_etrs2_ras contribution: 22.076\u000abio_15_etrs2_ras contribution: 0.5145\u000abio_18_etrs2_ras contribution: 12.9617\u000abio_4_etrs2_ras contribution: 43.4162\u000abio_8_etrs2_ras contribution: 0.1465\u000adist2water1km contribution: 2.2883\u000apet_he_yr contribution: 11.6566\u000asoil_ph contribution: 5.7035\u000asolar_1km contribution: 1.2367\u000abio_12_etrs2_ras permutation importance: 10.2565\u000abio_15_etrs2_ras permutation importance: 1.3545\u000abio_18_etrs2_ras permutation importance: 6.7089\u000abio_4_etrs2_ras permutation importance: 61.4969\u000abio_8_etrs2_ras permutation importance: 0.6942\u000adist2water1km permutation importance: 3.5802\u000apet_he_yr permutation importance: 10.397\u000asoil_ph permutation importance: 4.377\u000asolar_1km permutation importance: 1.1348\u000aEntropy: 7.5744\u000aPrevalence (average of logistic output over background sites): 0.0894\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0327\u000aFixed cumulative value 1 area: 0.2688\u000aFixed cumulative value 1 training omission: 0.0032\u000aFixed cumulative value 1 test omission: 0.029\u000aFixed cumulative value 1 binomial probability: 7.74E-40\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1561\u000aFixed cumulative value 5 area: 0.1932\u000aFixed cumulative value 5 training omission: 0.024\u000aFixed cumulative value 5 test omission: 0.058\u000aFixed cumulative value 5 binomial probability: 3.23E-56\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2478\u000aFixed cumulative value 10 area: 0.1572\u000aFixed cumulative value 10 training omission: 0.0511\u000aFixed cumulative value 10 test omission: 0.1159\u000aFixed cumulative value 10 binomial probability: 4.17E-62\u000aMinimum training presence cumulative threshold: 0.1683\u000aMinimum training presence logistic threshold: 0.0016\u000aMinimum training presence area: 0.4803\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.79E-18\u000a10 percentile training presence cumulative threshold: 16.1896\u000a10 percentile training presence logistic threshold: 0.3254\u000a10 percentile training presence area: 0.1289\u000a10 percentile training presence training omission: 0.099\u000a10 percentile training presence test omission: 0.2029\u000a10 percentile training presence binomial probability: 6.67E-62\u000aEqual training sensitivity and specificity cumulative threshold: 19.7107\u000aEqual training sensitivity and specificity logistic threshold: 0.3572\u000aEqual training sensitivity and specificity area: 0.1166\u000aEqual training sensitivity and specificity training omission: 0.1166\u000aEqual training sensitivity and specificity test omission: 0.2174\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 10.6461\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2555\u000aMaximum training sensitivity plus specificity area: 0.1536\u000aMaximum training sensitivity plus specificity training omission: 0.0527\u000aMaximum training sensitivity plus specificity test omission: 0.1159\u000aMaximum training sensitivity plus specificity binomial probability: 7.59E-64\u000aEqual test sensitivity and specificity cumulative threshold: 12.7449\u000aEqual test sensitivity and specificity logistic threshold: 0.284\u000aEqual test sensitivity and specificity area: 0.1433\u000aEqual test sensitivity and specificity training omission: 0.0783\u000aEqual test sensitivity and specificity test omission: 0.1449\u000aEqual test sensitivity and specificity binomial probability: 3.65E-64\u000aMaximum test sensitivity plus specificity cumulative threshold: 4.8975\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1541\u000aMaximum test sensitivity plus specificity area: 0.1943\u000aMaximum test sensitivity plus specificity training omission: 0.024\u000aMaximum test sensitivity plus specificity test omission: 0.0435\u000aMaximum test sensitivity plus specificity binomial probability: 5.95E-58\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5987\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0591\u000aBalance training omission, predicted area and threshold value area: 0.2456\u000aBalance training omission, predicted area and threshold value training omission: 0.0048\u000aBalance training omission, predicted area and threshold value test omission: 0.029\u000aBalance training omission, predicted area and threshold value binomial probability: 7.71E-45\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.11\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.182\u000aEquate entropy of thresholded and original distributions area: 0.1832\u000aEquate entropy of thresholded and original distributions training omission: 0.0319\u000aEquate entropy of thresholded and original distributions test omission: 0.058\u000aEquate entropy of thresholded and original distributions binomial probability: 5.61E-60
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0dd3dbf1-9511-48bf-88c8-60e4287f71f0
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V1940
p80051
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(g9
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V2011
p80054
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(g9
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Nsg14
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VTRUE
p80057
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(g9
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NtRp80058
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g13
Nsg14
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VEurope
p80060
sbg8
(g9
g10
NtRp80061
(dp80062
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80063
sbg8
(g9
g10
NtRp80064
(dp80065
g13
Nsg14
Nsg15
VFALSE
p80066
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VEuropean Environment Agency
p80069
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Nsg15
VFALSE
p80072
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V
sbg8
(g9
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NtRp80075
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g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80077
(dp80078
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-4b_1940-2011_rev01
p80079
sbNNtp80080
a(g8
(g9
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NtRp80081
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g13
Nsg14
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V172541f2-08b8-489d-9193-72a5e75f53ca
p80083
sbNg8
(g9
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NtRp80084
(dp80085
g13
Nsg14
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VEUNIS habitat type G3.E, predicted distribution of habitat suitability - version 1, Jan. 2015
p80086
sbNNNNNg8
(g9
g10
NtRp80087
(dp80088
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p80089
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(g23
g10
NtRp80090
(dp80091
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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sbNg8
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g10
NtRp80093
(dp80094
g13
Nsg14
Nsg15
VFALSE
p80095
sbNNNg8
(g9
g10
NtRp80096
(dp80097
g13
Nsg14
Nsg15
VFALSE
p80098
sbNNg8
(g9
g10
NtRp80099
(dp80100
g13
Nsg14
Nsg15
VFALSE
p80101
sbNNg8
(g9
g10
NtRp80102
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g13
Nsg14
Nsg15
VFALSE
p80104
sbNg8
(g9
g10
NtRp80105
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_random_bg_ed1.png
p80107
sbg8
(g9
g10
NtRp80108
(dp80109
g13
Nsg14
Nsg15
VEPSG:3035
p80110
sbg8
(g9
g10
NtRp80111
(dp80112
g13
Nsg14
Nsg15
V2019-06-04
p80113
sbNg8
(g9
g10
NtRp80114
(dp80115
g13
Nsg14
Nsg15
VHabitats and biotopes
p80116
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g10
NtRp80117
(dp80118
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p80119
sbg8
(g9
g10
NtRp80120
(dp80121
g13
Nsg14
Nsg15
Vgrid
p80122
sbg8
(g9
g10
NtRp80123
(dp80124
g13
Nsg14
Nsg15
VAAIGrid
p80125
sbNg8
(g9
g10
NtRp80126
(dp80127
g13
Nsg14
Nsg15
V1000m
p80128
sbNg8
(g9
g10
NtRp80129
(dp80130
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 433\u000aRegularized training gain: 1.8688\u000aUnregularized training gain: 2.0466\u000aIterations: 500\u000aTraining AUC: 0.952\u000a#Test samples: 48\u000aTest gain: 1.7982\u000aTest AUC: 0.9356\u000aAUC Standard Deviation: 0.0107\u000a#Background points: 10433\u000abio_12_etrs2_ras contribution: 0.6425\u000abio_15_etrs2_ras contribution: 0.9937\u000abio_18_etrs2_ras contribution: 54.2453\u000abio_4_etrs2_ras contribution: 17.9736\u000abio_8_etrs2_ras contribution: 6.9313\u000adist2water1km contribution: 0.1149\u000apet_he_yr contribution: 15.7111\u000asoil_ph contribution: 1.4725\u000asolar_1km contribution: 1.915\u000abio_12_etrs2_ras permutation importance: 2.3699\u000abio_15_etrs2_ras permutation importance: 1.982\u000abio_18_etrs2_ras permutation importance: 32.5319\u000abio_4_etrs2_ras permutation importance: 42.9618\u000abio_8_etrs2_ras permutation importance: 3.9506\u000adist2water1km permutation importance: 0.0751\u000apet_he_yr permutation importance: 14.7719\u000asoil_ph permutation importance: 0.8976\u000asolar_1km permutation importance: 0.4593\u000aEntropy: 7.4024\u000aPrevalence (average of logistic output over background sites): 0.0752\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0185\u000aFixed cumulative value 1 area: 0.3413\u000aFixed cumulative value 1 training omission: 0.0023\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 3.15E-22\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0863\u000aFixed cumulative value 5 area: 0.2157\u000aFixed cumulative value 5 training omission: 0.03\u000aFixed cumulative value 5 test omission: 0.0833\u000aFixed cumulative value 5 binomial probability: 1.76E-32\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1519\u000aFixed cumulative value 10 area: 0.1571\u000aFixed cumulative value 10 training omission: 0.0693\u000aFixed cumulative value 10 test omission: 0.1458\u000aFixed cumulative value 10 binomial probability: 1.69E-40\u000aMinimum training presence cumulative threshold: 0.444\u000aMinimum training presence logistic threshold: 0.0062\u000aMinimum training presence area: 0.4207\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 2.14E-16\u000a10 percentile training presence cumulative threshold: 15.5122\u000a10 percentile training presence logistic threshold: 0.214\u000a10 percentile training presence area: 0.1181\u000a10 percentile training presence training omission: 0.0993\u000a10 percentile training presence test omission: 0.1667\u000a10 percentile training presence binomial probability: 1.63E-53\u000aEqual training sensitivity and specificity cumulative threshold: 16.2269\u000aEqual training sensitivity and specificity logistic threshold: 0.2225\u000aEqual training sensitivity and specificity area: 0.1141\u000aEqual training sensitivity and specificity training omission: 0.1132\u000aEqual training sensitivity and specificity test omission: 0.1667\u000aEqual training sensitivity and specificity binomial probability: 1.10E-55\u000aMaximum training sensitivity plus specificity cumulative threshold: 13.4386\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1912\u000aMaximum training sensitivity plus specificity area: 0.1309\u000aMaximum training sensitivity plus specificity training omission: 0.0855\u000aMaximum training sensitivity plus specificity test omission: 0.1458\u000aMaximum training sensitivity plus specificity binomial probability: 3.26E-50\u000aEqual test sensitivity and specificity cumulative threshold: 11.3765\u000aEqual test sensitivity and specificity logistic threshold: 0.1668\u000aEqual test sensitivity and specificity area: 0.1458\u000aEqual test sensitivity and specificity training omission: 0.0716\u000aEqual test sensitivity and specificity test omission: 0.1458\u000aEqual test sensitivity and specificity binomial probability: 2.86E-44\u000aMaximum test sensitivity plus specificity cumulative threshold: 2.8672\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0568\u000aMaximum test sensitivity plus specificity area: 0.2599\u000aMaximum test sensitivity plus specificity training omission: 0.0092\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 7.17E-32\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.2404\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0445\u000aBalance training omission, predicted area and threshold value area: 0.2784\u000aBalance training omission, predicted area and threshold value training omission: 0.0046\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 3.47E-29\u000aEquate entropy of thresholded and original distributions cumulative threshold: 10.0045\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1519\u000aEquate entropy of thresholded and original distributions area: 0.1571\u000aEquate entropy of thresholded and original distributions training omission: 0.0693\u000aEquate entropy of thresholded and original distributions test omission: 0.1458\u000aEquate entropy of thresholded and original distributions binomial probability: 1.69E-40
p80131
sbg8
(g9
g10
NtRp80132
(dp80133
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/172541f2-08b8-489d-9193-72a5e75f53ca
p80134
sbg8
(g9
g10
NtRp80135
(dp80136
g13
Nsg14
g74
sg15
V1940
p80137
sbg8
(g9
g10
NtRp80138
(dp80139
g13
Nsg14
g74
sg15
V2011
p80140
sbg8
(g9
g10
NtRp80141
(dp80142
g13
Nsg14
Nsg15
VTRUE
p80143
sbg8
(g9
g10
NtRp80144
(dp80145
g13
Nsg14
Nsg15
VEurope
p80146
sbg8
(g9
g10
NtRp80147
(dp80148
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80149
sbg8
(g9
g10
NtRp80150
(dp80151
g13
Nsg14
Nsg15
VFALSE
p80152
sbg8
(g9
g10
NtRp80153
(dp80154
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80155
sbg8
(g9
g10
NtRp80156
(dp80157
g13
Nsg14
Nsg15
VFALSE
p80158
sbNNNNNNNg8
(g9
g10
NtRp80159
(dp80160
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80161
(dp80162
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80163
(dp80164
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-e_1940-2011_rev01
p80165
sbNNtp80166
a(g8
(g9
g10
NtRp80167
(dp80168
g13
Nsg14
Nsg15
V7a0fec13-ca9b-4456-9908-4505659ad731
p80169
sbNg8
(g9
g10
NtRp80170
(dp80171
g13
Nsg14
Nsg15
VEUNIS habitat type G2.4 distribution based on vegetation plot data - version 1, Jan. 2015
p80172
sbNNNNNg8
(g9
g10
NtRp80173
(dp80174
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p80175
sbg8
(g23
g10
NtRp80176
(dp80177
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80178
sbNg8
(g9
g10
NtRp80179
(dp80180
g13
Nsg14
Nsg15
VFALSE
p80181
sbNNNg8
(g9
g10
NtRp80182
(dp80183
g13
Nsg14
Nsg15
VFALSE
p80184
sbNNg8
(g9
g10
NtRp80185
(dp80186
g13
Nsg14
Nsg15
VFALSE
p80187
sbNNg8
(g9
g10
NtRp80188
(dp80189
g13
Nsg14
Nsg15
VFALSE
p80190
sbNg8
(g9
g10
NtRp80191
(dp80192
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_dist_edt1.png
p80193
sbg8
(g9
g10
NtRp80194
(dp80195
g13
Nsg14
Nsg15
VEPSG:3035
p80196
sbg8
(g9
g10
NtRp80197
(dp80198
g13
Nsg14
Nsg15
V2019-06-04
p80199
sbNg8
(g9
g10
NtRp80200
(dp80201
g13
Nsg14
Nsg15
VHabitats and biotopes
p80202
sbg8
(g9
g10
NtRp80203
(dp80204
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p80205
sbg8
(g9
g10
NtRp80206
(dp80207
g13
Nsg14
Nsg15
Vvector
p80208
sbg8
(g9
g10
NtRp80209
(dp80210
g13
Nsg14
Nsg15
VSHP
p80211
sbNg8
(g9
g10
NtRp80212
(dp80213
g13
Nsg14
Nsg15
V1:10000000
p80214
sbNg8
(g9
g10
NtRp80215
(dp80216
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p80217
sbg8
(g9
g10
NtRp80218
(dp80219
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a0fec13-ca9b-4456-9908-4505659ad731
p80220
sbg8
(g9
g10
NtRp80221
(dp80222
g13
Nsg14
g74
sg15
V1940
p80223
sbg8
(g9
g10
NtRp80224
(dp80225
g13
Nsg14
g74
sg15
V2011
p80226
sbg8
(g9
g10
NtRp80227
(dp80228
g13
Nsg14
Nsg15
VTRUE
p80229
sbg8
(g9
g10
NtRp80230
(dp80231
g13
Nsg14
Nsg15
VEurope
p80232
sbg8
(g9
g10
NtRp80233
(dp80234
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80235
sbg8
(g9
g10
NtRp80236
(dp80237
g13
Nsg14
Nsg15
VFALSE
p80238
sbg8
(g9
g10
NtRp80239
(dp80240
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80241
sbg8
(g9
g10
NtRp80242
(dp80243
g13
Nsg14
Nsg15
VFALSE
p80244
sbNNNNNNNg8
(g9
g10
NtRp80245
(dp80246
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80247
(dp80248
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80249
(dp80250
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g2-4_1940-2011_rev01
p80251
sbNNtp80252
a(g8
(g9
g10
NtRp80253
(dp80254
g13
Nsg14
Nsg15
V83268aa7-6add-4b4d-970f-29a958ab7acf
p80255
sbNg8
(g9
g10
NtRp80256
(dp80257
g13
Nsg14
Nsg15
VEUNIS habitat type G3.9a, predicted distribution of habitat suitability - version 1, Jan. 2015
p80258
sbNNNNNg8
(g9
g10
NtRp80259
(dp80260
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p80261
sbg8
(g23
g10
NtRp80262
(dp80263
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80264
sbNg8
(g9
g10
NtRp80265
(dp80266
g13
Nsg14
Nsg15
VFALSE
p80267
sbNNNg8
(g9
g10
NtRp80268
(dp80269
g13
Nsg14
Nsg15
VFALSE
p80270
sbNNg8
(g9
g10
NtRp80271
(dp80272
g13
Nsg14
Nsg15
VFALSE
p80273
sbNNg8
(g9
g10
NtRp80274
(dp80275
g13
Nsg14
Nsg15
VFALSE
p80276
sbNg8
(g9
g10
NtRp80277
(dp80278
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_random_bg_ed1.png
p80279
sbg8
(g9
g10
NtRp80280
(dp80281
g13
Nsg14
Nsg15
VEPSG:3035
p80282
sbg8
(g9
g10
NtRp80283
(dp80284
g13
Nsg14
Nsg15
V2019-06-04
p80285
sbNg8
(g9
g10
NtRp80286
(dp80287
g13
Nsg14
Nsg15
VHabitats and biotopes
p80288
sbg8
(g9
g10
NtRp80289
(dp80290
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p80291
sbg8
(g9
g10
NtRp80292
(dp80293
g13
Nsg14
Nsg15
Vgrid
p80294
sbg8
(g9
g10
NtRp80295
(dp80296
g13
Nsg14
Nsg15
VAAIGrid
p80297
sbNg8
(g9
g10
NtRp80298
(dp80299
g13
Nsg14
Nsg15
V1000m
p80300
sbNg8
(g9
g10
NtRp80301
(dp80302
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 155\u000aRegularized training gain: 1.9349\u000aUnregularized training gain: 2.3231\u000aIterations: 500\u000aTraining AUC: 0.9576\u000a#Test samples: 17\u000aTest gain: 2.1608\u000aTest AUC: 0.964\u000aAUC Standard Deviation: 0.0112\u000a#Background points: 10155\u000abio_12_etrs2_ras contribution: 0.9202\u000abio_15_etrs2_ras contribution: 2.9875\u000abio_18_etrs2_ras contribution: 6.4517\u000abio_4_etrs2_ras contribution: 43.4382\u000abio_8_etrs2_ras contribution: 4.5974\u000adist2water1km contribution: 3.3867\u000apet_he_yr contribution: 34.4928\u000asoil_ph contribution: 1.1712\u000asolar_1km contribution: 2.5543\u000abio_12_etrs2_ras permutation importance: 1.3058\u000abio_15_etrs2_ras permutation importance: 2.3516\u000abio_18_etrs2_ras permutation importance: 3.5757\u000abio_4_etrs2_ras permutation importance: 47.6319\u000abio_8_etrs2_ras permutation importance: 1.9908\u000adist2water1km permutation importance: 1.6822\u000apet_he_yr permutation importance: 38.5628\u000asoil_ph permutation importance: 1.1008\u000asolar_1km permutation importance: 1.7984\u000aEntropy: 7.3166\u000aPrevalence (average of logistic output over background sites): 0.0713\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0103\u000aFixed cumulative value 1 area: 0.4663\u000aFixed cumulative value 1 training omission: 0.0065\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.33E-06\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0566\u000aFixed cumulative value 5 area: 0.2313\u000aFixed cumulative value 5 training omission: 0.0258\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.55E-11\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.148\u000aFixed cumulative value 10 area: 0.1619\u000aFixed cumulative value 10 training omission: 0.0645\u000aFixed cumulative value 10 test omission: 0.0588\u000aFixed cumulative value 10 binomial probability: 3.21E-12\u000aMinimum training presence cumulative threshold: 0.2799\u000aMinimum training presence logistic threshold: 0.0036\u000aMinimum training presence area: 0.6285\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.72E-04\u000a10 percentile training presence cumulative threshold: 18.0606\u000a10 percentile training presence logistic threshold: 0.2274\u000a10 percentile training presence area: 0.1102\u000a10 percentile training presence training omission: 0.0968\u000a10 percentile training presence test omission: 0.0588\u000a10 percentile training presence binomial probability: 7.20E-15\u000aEqual training sensitivity and specificity cumulative threshold: 18.5168\u000aEqual training sensitivity and specificity logistic threshold: 0.232\u000aEqual training sensitivity and specificity area: 0.1079\u000aEqual training sensitivity and specificity training omission: 0.1097\u000aEqual training sensitivity and specificity test omission: 0.0588\u000aEqual training sensitivity and specificity binomial probability: 5.18E-15\u000aMaximum training sensitivity plus specificity cumulative threshold: 18.0606\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2274\u000aMaximum training sensitivity plus specificity area: 0.1102\u000aMaximum training sensitivity plus specificity training omission: 0.0968\u000aMaximum training sensitivity plus specificity test omission: 0.0588\u000aMaximum training sensitivity plus specificity binomial probability: 7.20E-15\u000aEqual test sensitivity and specificity cumulative threshold: 32.1087\u000aEqual test sensitivity and specificity logistic threshold: 0.3665\u000aEqual test sensitivity and specificity area: 0.0588\u000aEqual test sensitivity and specificity training omission: 0.2194\u000aEqual test sensitivity and specificity test omission: 0.0588\u000aEqual test sensitivity and specificity binomial probability: 3.27E-19\u000aMaximum test sensitivity plus specificity cumulative threshold: 32.1267\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3675\u000aMaximum test sensitivity plus specificity area: 0.0587\u000aMaximum test sensitivity plus specificity training omission: 0.2194\u000aMaximum test sensitivity plus specificity test omission: 0.0588\u000aMaximum test sensitivity plus specificity binomial probability: 3.18E-19\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.9492\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0299\u000aBalance training omission, predicted area and threshold value area: 0.3021\u000aBalance training omission, predicted area and threshold value training omission: 0.0065\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 1.45E-09\u000aEquate entropy of thresholded and original distributions cumulative threshold: 11.7424\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1689\u000aEquate entropy of thresholded and original distributions area: 0.1482\u000aEquate entropy of thresholded and original distributions training omission: 0.0839\u000aEquate entropy of thresholded and original distributions test omission: 0.0588\u000aEquate entropy of thresholded and original distributions binomial probability: 7.92E-13
p80303
sbg8
(g9
g10
NtRp80304
(dp80305
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83268aa7-6add-4b4d-970f-29a958ab7acf
p80306
sbg8
(g9
g10
NtRp80307
(dp80308
g13
Nsg14
g74
sg15
V1940
p80309
sbg8
(g9
g10
NtRp80310
(dp80311
g13
Nsg14
g74
sg15
V2011
p80312
sbg8
(g9
g10
NtRp80313
(dp80314
g13
Nsg14
Nsg15
VTRUE
p80315
sbg8
(g9
g10
NtRp80316
(dp80317
g13
Nsg14
Nsg15
VEurope
p80318
sbg8
(g9
g10
NtRp80319
(dp80320
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80321
sbg8
(g9
g10
NtRp80322
(dp80323
g13
Nsg14
Nsg15
VFALSE
p80324
sbg8
(g9
g10
NtRp80325
(dp80326
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80327
sbg8
(g9
g10
NtRp80328
(dp80329
g13
Nsg14
Nsg15
VFALSE
p80330
sbNNNNNNNg8
(g9
g10
NtRp80331
(dp80332
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80333
(dp80334
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80335
(dp80336
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g3-9a_1940-2011_rev01
p80337
sbNNtp80338
a(g8
(g9
g10
NtRp80339
(dp80340
g13
Nsg14
Nsg15
Vd92ff658-e1b6-4fe9-9245-6b3b2f677250
p80341
sbNg8
(g9
g10
NtRp80342
(dp80343
g13
Nsg14
Nsg15
VEUNIS habitat type B1.5b, predicted habitat suitability - version 1, June 2016
p80344
sbNNNNNg8
(g9
g10
NtRp80345
(dp80346
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\u000a			Remarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast.\u000a          \u000a          Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1)tThe area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.
p80347
sbg8
(g23
g10
NtRp80348
(dp80349
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80350
sbNg8
(g9
g10
NtRp80351
(dp80352
g13
Nsg14
Nsg15
VFALSE
p80353
sbNNNg8
(g9
g10
NtRp80354
(dp80355
g13
Nsg14
Nsg15
VFALSE
p80356
sbNNg8
(g9
g10
NtRp80357
(dp80358
g13
Nsg14
Nsg15
VFALSE
p80359
sbNNg8
(g9
g10
NtRp80360
(dp80361
g13
Nsg14
Nsg15
VFALSE
p80362
sbNg8
(g9
g10
NtRp80363
(dp80364
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5b_random_bg_ed1.png
p80365
sbg8
(g9
g10
NtRp80366
(dp80367
g13
Nsg14
Nsg15
VEPSG:3035
p80368
sbg8
(g9
g10
NtRp80369
(dp80370
g13
Nsg14
Nsg15
V2019-06-04
p80371
sbNg8
(g9
g10
NtRp80372
(dp80373
g13
Nsg14
Nsg15
VHabitats and biotopes
p80374
sbg8
(g9
g10
NtRp80375
(dp80376
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p80377
sbg8
(g9
g10
NtRp80378
(dp80379
g13
Nsg14
Nsg15
Vgrid
p80380
sbg8
(g9
g10
NtRp80381
(dp80382
g13
Nsg14
Nsg15
VGTiff
p80383
sbNg8
(g9
g10
NtRp80384
(dp80385
g13
Nsg14
Nsg15
V1000m
p80386
sbNg8
(g9
g10
NtRp80387
(dp80388
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 27\u000aRegularized training gain: 4.4856\u000aUnregularized training gain: 4.7894\u000aIterations: 500\u000aTraining AUC: 0.9971\u000a#Test samples: 2\u000aTest gain: 5.0918\u000aTest AUC: 0.9984\u000aAUC Standard Deviation: 0.0004\u000a#Background points: 5027\u000abio_12_etrs2_ras contribution: 0.3312\u000abio_15_etrs2_ras contribution: 0.4732\u000abio_18_etrs2_ras contribution: 5.0517\u000abio_4_etrs2_ras contribution: 27.8413\u000abio_8_etrs2_ras contribution: 3.4666\u000abld_m_sd1_1km_eu_ll contribution: 1.711\u000acecsum_m_sd1_1km_eu_ll contribution: 0\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.0525\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.3776\u000adist2water1km contribution: 48.7813\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.2131\u000apet_he_yr contribution: 3.0278\u000aphihox_m_sd1_1km_eu_ll contribution: 0.1383\u000asltppt_m_sd1_1km_eu_ll contribution: 7.4575\u000asndppt_m_sd1_1km_eu_ll contribution: 1.077\u000asolar_1km contribution: 0\u000abio_12_etrs2_ras permutation importance: 0.061\u000abio_15_etrs2_ras permutation importance: 0.0076\u000abio_18_etrs2_ras permutation importance: 0\u000abio_4_etrs2_ras permutation importance: 41.5688\u000abio_8_etrs2_ras permutation importance: 25.52\u000abld_m_sd1_1km_eu_ll permutation importance: 0.3788\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.0153\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.0076\u000adist2water1km permutation importance: 0.2593\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.0483\u000apet_he_yr permutation importance: 31.4162\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.0076\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.6712\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 0.0381\u000aEntropy: 4.0567\u000aPrevalence (average of logistic output over background sites): 0.0053\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0034\u000aFixed cumulative value 1 area: 0.0553\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 3.06E-03\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0367\u000aFixed cumulative value 5 area: 0.0189\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 3.57E-04\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1118\u000aFixed cumulative value 10 area: 0.0099\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 9.89E-05\u000aMinimum training presence cumulative threshold: 15.6885\u000aMinimum training presence logistic threshold: 0.2643\u000aMinimum training presence area: 0.007\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.85E-05\u000a10 percentile training presence cumulative threshold: 17.868\u000a10 percentile training presence logistic threshold: 0.3101\u000a10 percentile training presence area: 0.0062\u000a10 percentile training presence training omission: 0.0741\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 3.80E-05\u000aEqual training sensitivity and specificity cumulative threshold: 15.6885\u000aEqual training sensitivity and specificity logistic threshold: 0.2643\u000aEqual training sensitivity and specificity area: 0.007\u000aEqual training sensitivity and specificity training omission: 0\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 4.85E-05\u000aMaximum training sensitivity plus specificity cumulative threshold: 15.6885\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2643\u000aMaximum training sensitivity plus specificity area: 0.007\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 4.85E-05\u000aEqual test sensitivity and specificity cumulative threshold: 58.0778\u000aEqual test sensitivity and specificity logistic threshold: 0.6292\u000aEqual test sensitivity and specificity area: 0.0018\u000aEqual test sensitivity and specificity training omission: 0.6296\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 3.20E-06\u000aMaximum test sensitivity plus specificity cumulative threshold: 58.0778\u000aMaximum test sensitivity plus specificity logistic threshold: 0.6292\u000aMaximum test sensitivity plus specificity area: 0.0018\u000aMaximum test sensitivity plus specificity training omission: 0.6296\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 3.20E-06\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.2065\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0046\u000aBalance training omission, predicted area and threshold value area: 0.0495\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.45E-03\u000aEquate entropy of thresholded and original distributions cumulative threshold: 8.7216\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.081\u000aEquate entropy of thresholded and original distributions area: 0.0113\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 1.29E-04
p80389
sbg8
(g9
g10
NtRp80390
(dp80391
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d92ff658-e1b6-4fe9-9245-6b3b2f677250
p80392
sbg8
(g9
g10
NtRp80393
(dp80394
g13
Nsg14
g74
sg15
V1940
p80395
sbg8
(g9
g10
NtRp80396
(dp80397
g13
Nsg14
g74
sg15
V2011
p80398
sbg8
(g9
g10
NtRp80399
(dp80400
g13
Nsg14
Nsg15
VTRUE
p80401
sbg8
(g9
g10
NtRp80402
(dp80403
g13
Nsg14
Nsg15
VEurope
p80404
sbg8
(g9
g10
NtRp80405
(dp80406
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80407
sbg8
(g9
g10
NtRp80408
(dp80409
g13
Nsg14
Nsg15
VFALSE
p80410
sbg8
(g9
g10
NtRp80411
(dp80412
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80413
sbg8
(g9
g10
NtRp80414
(dp80415
g13
Nsg14
Nsg15
VFALSE
p80416
sbNNNNNNNg8
(g9
g10
NtRp80417
(dp80418
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80419
(dp80420
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80421
(dp80422
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b1-5b_1940-2011_rev01
p80423
sbNNtp80424
a(g8
(g9
g10
NtRp80425
(dp80426
g13
Nsg14
Nsg15
V4bc1268d-cebd-499b-b1e3-8157566fa923
p80427
sbNg8
(g9
g10
NtRp80428
(dp80429
g13
Nsg14
Nsg15
VEUNIS habitat type F3-1f distribution based on vegetation plot data - version 1, June 2016
p80430
sbNNNNNg8
(g9
g10
NtRp80431
(dp80432
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p80433
sbg8
(g23
g10
NtRp80434
(dp80435
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80436
sbNg8
(g9
g10
NtRp80437
(dp80438
g13
Nsg14
Nsg15
VFALSE
p80439
sbNNNg8
(g9
g10
NtRp80440
(dp80441
g13
Nsg14
Nsg15
VFALSE
p80442
sbNNg8
(g9
g10
NtRp80443
(dp80444
g13
Nsg14
Nsg15
VFALSE
p80445
sbNNg8
(g9
g10
NtRp80446
(dp80447
g13
Nsg14
Nsg15
VFALSE
p80448
sbNg8
(g9
g10
NtRp80449
(dp80450
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_dist_edt1.png
p80451
sbg8
(g9
g10
NtRp80452
(dp80453
g13
Nsg14
Nsg15
VEPSG:3035
p80454
sbg8
(g9
g10
NtRp80455
(dp80456
g13
Nsg14
Nsg15
V2019-06-04
p80457
sbNg8
(g9
g10
NtRp80458
(dp80459
g13
Nsg14
Nsg15
VHabitats and biotopes
p80460
sbg8
(g9
g10
NtRp80461
(dp80462
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p80463
sbg8
(g9
g10
NtRp80464
(dp80465
g13
Nsg14
Nsg15
Vvector
p80466
sbg8
(g9
g10
NtRp80467
(dp80468
g13
Nsg14
Nsg15
VSHP
p80469
sbNg8
(g9
g10
NtRp80470
(dp80471
g13
Nsg14
Nsg15
V1:10000000
p80472
sbNg8
(g9
g10
NtRp80473
(dp80474
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p80475
sbg8
(g9
g10
NtRp80476
(dp80477
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bc1268d-cebd-499b-b1e3-8157566fa923
p80478
sbg8
(g9
g10
NtRp80479
(dp80480
g13
Nsg14
g74
sg15
V1940
p80481
sbg8
(g9
g10
NtRp80482
(dp80483
g13
Nsg14
g74
sg15
V2011
p80484
sbg8
(g9
g10
NtRp80485
(dp80486
g13
Nsg14
Nsg15
VTRUE
p80487
sbg8
(g9
g10
NtRp80488
(dp80489
g13
Nsg14
Nsg15
VEurope
p80490
sbg8
(g9
g10
NtRp80491
(dp80492
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80493
sbg8
(g9
g10
NtRp80494
(dp80495
g13
Nsg14
Nsg15
VFALSE
p80496
sbg8
(g9
g10
NtRp80497
(dp80498
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80499
sbg8
(g9
g10
NtRp80500
(dp80501
g13
Nsg14
Nsg15
VFALSE
p80502
sbNNNNNNNg8
(g9
g10
NtRp80503
(dp80504
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80505
(dp80506
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80507
(dp80508
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f3-1f_1940-2011_rev01
p80509
sbNNtp80510
a(g8
(g9
g10
NtRp80511
(dp80512
g13
Nsg14
Nsg15
V62e1e107-a02a-49c8-80ea-b257a6fad7e8
p80513
sbNg8
(g9
g10
NtRp80514
(dp80515
g13
Nsg14
Nsg15
VEUNIS habitat type B1.7 distribution based on vegetation plot data - version 1, Jan. 2015
p80516
sbNNNNNg8
(g9
g10
NtRp80517
(dp80518
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p80519
sbg8
(g23
g10
NtRp80520
(dp80521
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80522
sbNg8
(g9
g10
NtRp80523
(dp80524
g13
Nsg14
Nsg15
VFALSE
p80525
sbNNNg8
(g9
g10
NtRp80526
(dp80527
g13
Nsg14
Nsg15
VFALSE
p80528
sbNNg8
(g9
g10
NtRp80529
(dp80530
g13
Nsg14
Nsg15
VFALSE
p80531
sbNNg8
(g9
g10
NtRp80532
(dp80533
g13
Nsg14
Nsg15
VFALSE
p80534
sbNg8
(g9
g10
NtRp80535
(dp80536
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_dist_edt1.png
p80537
sbg8
(g9
g10
NtRp80538
(dp80539
g13
Nsg14
Nsg15
VEPSG:3035
p80540
sbg8
(g9
g10
NtRp80541
(dp80542
g13
Nsg14
Nsg15
V2019-06-04
p80543
sbNg8
(g9
g10
NtRp80544
(dp80545
g13
Nsg14
Nsg15
VHabitats and biotopes
p80546
sbg8
(g9
g10
NtRp80547
(dp80548
g13
Nsg14
Nsg15
Vcoastal|coastal environment|forest|natural area|terrestrial ecosystem
p80549
sbg8
(g9
g10
NtRp80550
(dp80551
g13
Nsg14
Nsg15
Vvector
p80552
sbg8
(g9
g10
NtRp80553
(dp80554
g13
Nsg14
Nsg15
VSHP
p80555
sbNg8
(g9
g10
NtRp80556
(dp80557
g13
Nsg14
Nsg15
V1:10000000
p80558
sbNg8
(g9
g10
NtRp80559
(dp80560
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p80561
sbg8
(g9
g10
NtRp80562
(dp80563
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62e1e107-a02a-49c8-80ea-b257a6fad7e8
p80564
sbg8
(g9
g10
NtRp80565
(dp80566
g13
Nsg14
g74
sg15
V1940
p80567
sbg8
(g9
g10
NtRp80568
(dp80569
g13
Nsg14
g74
sg15
V2011
p80570
sbg8
(g9
g10
NtRp80571
(dp80572
g13
Nsg14
Nsg15
VTRUE
p80573
sbg8
(g9
g10
NtRp80574
(dp80575
g13
Nsg14
Nsg15
VEurope
p80576
sbg8
(g9
g10
NtRp80577
(dp80578
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80579
sbg8
(g9
g10
NtRp80580
(dp80581
g13
Nsg14
Nsg15
VFALSE
p80582
sbg8
(g9
g10
NtRp80583
(dp80584
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80585
sbg8
(g9
g10
NtRp80586
(dp80587
g13
Nsg14
Nsg15
VFALSE
p80588
sbNNNNNNNg8
(g9
g10
NtRp80589
(dp80590
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80591
(dp80592
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80593
(dp80594
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b1-7_1940-2011_rev01
p80595
sbNNtp80596
a(g8
(g9
g10
NtRp80597
(dp80598
g13
Nsg14
Nsg15
V46be7e7a-0445-4921-9828-b1b1e32d3f99
p80599
sbNg8
(g9
g10
NtRp80600
(dp80601
g13
Nsg14
Nsg15
VEUNIS habitat type G3.B distribution based on vegetation plot data - version 1, Jan. 2015
p80602
sbNNNNNg8
(g9
g10
NtRp80603
(dp80604
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p80605
sbg8
(g23
g10
NtRp80606
(dp80607
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80608
sbNg8
(g9
g10
NtRp80609
(dp80610
g13
Nsg14
Nsg15
VFALSE
p80611
sbNNNg8
(g9
g10
NtRp80612
(dp80613
g13
Nsg14
Nsg15
VFALSE
p80614
sbNNg8
(g9
g10
NtRp80615
(dp80616
g13
Nsg14
Nsg15
VFALSE
p80617
sbNNg8
(g9
g10
NtRp80618
(dp80619
g13
Nsg14
Nsg15
VFALSE
p80620
sbNg8
(g9
g10
NtRp80621
(dp80622
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-B_dist_edt1.png
p80623
sbg8
(g9
g10
NtRp80624
(dp80625
g13
Nsg14
Nsg15
VEPSG:3035
p80626
sbg8
(g9
g10
NtRp80627
(dp80628
g13
Nsg14
Nsg15
V2019-06-04
p80629
sbNg8
(g9
g10
NtRp80630
(dp80631
g13
Nsg14
Nsg15
VHabitats and biotopes
p80632
sbg8
(g9
g10
NtRp80633
(dp80634
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p80635
sbg8
(g9
g10
NtRp80636
(dp80637
g13
Nsg14
Nsg15
Vvector
p80638
sbg8
(g9
g10
NtRp80639
(dp80640
g13
Nsg14
Nsg15
VSHP
p80641
sbNg8
(g9
g10
NtRp80642
(dp80643
g13
Nsg14
Nsg15
V1:10000000
p80644
sbNg8
(g9
g10
NtRp80645
(dp80646
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p80647
sbg8
(g9
g10
NtRp80648
(dp80649
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46be7e7a-0445-4921-9828-b1b1e32d3f99
p80650
sbg8
(g9
g10
NtRp80651
(dp80652
g13
Nsg14
g74
sg15
V1940
p80653
sbg8
(g9
g10
NtRp80654
(dp80655
g13
Nsg14
g74
sg15
V2011
p80656
sbg8
(g9
g10
NtRp80657
(dp80658
g13
Nsg14
Nsg15
VTRUE
p80659
sbg8
(g9
g10
NtRp80660
(dp80661
g13
Nsg14
Nsg15
VEurope
p80662
sbg8
(g9
g10
NtRp80663
(dp80664
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80665
sbg8
(g9
g10
NtRp80666
(dp80667
g13
Nsg14
Nsg15
VFALSE
p80668
sbg8
(g9
g10
NtRp80669
(dp80670
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80671
sbg8
(g9
g10
NtRp80672
(dp80673
g13
Nsg14
Nsg15
VFALSE
p80674
sbNNNNNNNg8
(g9
g10
NtRp80675
(dp80676
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80677
(dp80678
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80679
(dp80680
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-b_1940-2011_rev01
p80681
sbNNtp80682
a(g8
(g9
g10
NtRp80683
(dp80684
g13
Nsg14
Nsg15
V839577cc-9100-4547-b800-dbc42efbfa78
p80685
sbNg8
(g9
g10
NtRp80686
(dp80687
g13
Nsg14
Nsg15
VEUNIS habitat type G3.7 distribution based on vegetation plot data - version 1, Jan. 2015
p80688
sbNNNNNg8
(g9
g10
NtRp80689
(dp80690
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p80691
sbg8
(g23
g10
NtRp80692
(dp80693
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80694
sbNg8
(g9
g10
NtRp80695
(dp80696
g13
Nsg14
Nsg15
VFALSE
p80697
sbNNNg8
(g9
g10
NtRp80698
(dp80699
g13
Nsg14
Nsg15
VFALSE
p80700
sbNNg8
(g9
g10
NtRp80701
(dp80702
g13
Nsg14
Nsg15
VFALSE
p80703
sbNNg8
(g9
g10
NtRp80704
(dp80705
g13
Nsg14
Nsg15
VFALSE
p80706
sbNg8
(g9
g10
NtRp80707
(dp80708
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_dist_edt1.png
p80709
sbg8
(g9
g10
NtRp80710
(dp80711
g13
Nsg14
Nsg15
VEPSG:3035
p80712
sbg8
(g9
g10
NtRp80713
(dp80714
g13
Nsg14
Nsg15
V2019-06-04
p80715
sbNg8
(g9
g10
NtRp80716
(dp80717
g13
Nsg14
Nsg15
VHabitats and biotopes
p80718
sbg8
(g9
g10
NtRp80719
(dp80720
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p80721
sbg8
(g9
g10
NtRp80722
(dp80723
g13
Nsg14
Nsg15
Vvector
p80724
sbg8
(g9
g10
NtRp80725
(dp80726
g13
Nsg14
Nsg15
VSHP
p80727
sbNg8
(g9
g10
NtRp80728
(dp80729
g13
Nsg14
Nsg15
V1:10000000
p80730
sbNg8
(g9
g10
NtRp80731
(dp80732
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p80733
sbg8
(g9
g10
NtRp80734
(dp80735
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/839577cc-9100-4547-b800-dbc42efbfa78
p80736
sbg8
(g9
g10
NtRp80737
(dp80738
g13
Nsg14
g74
sg15
V1940
p80739
sbg8
(g9
g10
NtRp80740
(dp80741
g13
Nsg14
g74
sg15
V2011
p80742
sbg8
(g9
g10
NtRp80743
(dp80744
g13
Nsg14
Nsg15
VTRUE
p80745
sbg8
(g9
g10
NtRp80746
(dp80747
g13
Nsg14
Nsg15
VEurope
p80748
sbg8
(g9
g10
NtRp80749
(dp80750
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p80751
sbg8
(g9
g10
NtRp80752
(dp80753
g13
Nsg14
Nsg15
VFALSE
p80754
sbg8
(g9
g10
NtRp80755
(dp80756
g13
Nsg14
Nsg15
VEuropean Environment Agency
p80757
sbg8
(g9
g10
NtRp80758
(dp80759
g13
Nsg14
Nsg15
VFALSE
p80760
sbNNNNNNNg8
(g9
g10
NtRp80761
(dp80762
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp80763
(dp80764
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp80765
(dp80766
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-7_1940-2011_rev01
p80767
sbNNtp80768
a(g8
(g9
g10
NtRp80769
(dp80770
g13
Nsg14
Nsg15
V68ade09a-e970-4ad1-90cb-f2353a087ae1
p80771
sbNg8
(g9
g10
NtRp80772
(dp80773
g13
Nsg14
Nsg15
VEUNIS habitat type F5.4, predicted habitat suitability - version 1, June 2016
p80774
sbNNNNNg8
(g9
g10
NtRp80775
(dp80776
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Poor prediction for Spain due to lack of data. Spartium junceum actually occurs throughout Spain.\u000a          \u000a          Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
p80777
sbg8
(g23
g10
NtRp80778
(dp80779
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p80780
sbNg8
(g9
g10
NtRp80781
(dp80782
g13
Nsg14
Nsg15
VFALSE
p80783
sbNNNg8
(g9
g10
NtRp80784
(dp80785
g13
Nsg14
Nsg15
VFALSE
p80786
sbNNg8
(g9
g10
NtRp80787
(dp80788
g13
Nsg14
Nsg15
VFALSE
p80789
sbNNg8
(g9
g10
NtRp80790
(dp80791
g13
Nsg14
Nsg15
VFALSE
p80792
sbNg8
(g9
g10
NtRp80793
(dp80794
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_random_bg_ed1.png
p80795
sbg8
(g9
g10
NtRp80796
(dp80797
g13
Nsg14
Nsg15
VEPSG:3035
p80798
sbg8
(g9
g10
NtRp80799
(dp80800
g13
Nsg14
Nsg15
V2019-06-04
p80801
sbNg8
(g9
g10
NtRp80802
(dp80803
g13
Nsg14
Nsg15
VHabitats and biotopes
p80804
sbg8
(g9
g10
NtRp80805
(dp80806
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p80807
sbg8
(g9
g10
NtRp80808
(dp80809
g13
Nsg14
Nsg15
Vgrid
p80810
sbg8
(g9
g10
NtRp80811
(dp80812
g13
Nsg14
Nsg15
VGTiff
p80813
sbNg8
(g9
g10
NtRp80814
(dp80815
g13
Nsg14
Nsg15
V1000m
p80816
sbNg8
(g9
g10
NtRp80817
(dp80818
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 65\u000aRegularized training gain: 2.9405\u000aUnregularized training gain: 3.2711\u000aIterations: 500\u000aTraining AUC: 0.9873\u000a#Test samples: 7\u000aTest gain: 3.0121\u000aTest AUC: 0.9804\u000aAUC Standard Deviation: 0.0109\u000a#Background points: 5065\u000abio_12_etrs2_ras contribution: 18.9034\u000abio_15_etrs2_ras contribution: 3.7847\u000abio_18_etrs2_ras contribution: 2.6968\u000abio_4_etrs2_ras contribution: 22.7849\u000abio_8_etrs2_ras contribution: 6.4925\u000abld_m_sd1_1km_eu_ll contribution: 1.4665\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0768\u000aclyppt_m_sd1_1km_eu_ll contribution: 26.3259\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.7765\u000adist2water1km contribution: 0.0908\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.1728\u000apet_he_yr contribution: 0.0964\u000aphihox_m_sd1_1km_eu_ll contribution: 13.4566\u000asltppt_m_sd1_1km_eu_ll contribution: 2.8043\u000asndppt_m_sd1_1km_eu_ll contribution: 0.0555\u000asolar_1km contribution: 0.0156\u000abio_12_etrs2_ras permutation importance: 20.5001\u000abio_15_etrs2_ras permutation importance: 1.5151\u000abio_18_etrs2_ras permutation importance: 1.2774\u000abio_4_etrs2_ras permutation importance: 15.5413\u000abio_8_etrs2_ras permutation importance: 8.992\u000abld_m_sd1_1km_eu_ll permutation importance: 1.3218\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.8194\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 17.5782\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.5392\u000adist2water1km permutation importance: 0.2821\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.8542\u000apet_he_yr permutation importance: 1.4146\u000aphihox_m_sd1_1km_eu_ll permutation importance: 17.5221\u000asltppt_m_sd1_1km_eu_ll permutation importance: 9.9235\u000asndppt_m_sd1_1km_eu_ll permutation importance: 1.8842\u000asolar_1km permutation importance: 0.0348\u000aEntropy: 5.5959\u000aPrevalence (average of logistic output over background sites): 0.0248\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0065\u000aFixed cumulative value 1 area: 0.2047\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.51E-05\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0403\u000aFixed cumulative value 5 area: 0.0847\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0.1429\u000aFixed cumulative value 5 binomial probability: 2.40E-06\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.128\u000aFixed cumulative value 10 area: 0.0501\u000aFixed cumulative value 10 training omission: 0.0154\u000aFixed cumulative value 10 test omission: 0.1429\u000aFixed cumulative value 10 binomial probability: 1.06E-07\u000aMinimum training presence cumulative threshold: 6.9779\u000aMinimum training presence logistic threshold: 0.0684\u000aMinimum training presence area: 0.0661\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.1429\u000aMinimum training presence binomial probability: 5.53E-07\u000a10 percentile training presence cumulative threshold: 19.326\u000a10 percentile training presence logistic threshold: 0.2902\u000a10 percentile training presence area: 0.0296\u000a10 percentile training presence training omission: 0.0923\u000a10 percentile training presence test omission: 0.1429\u000a10 percentile training presence binomial probability: 4.60E-09\u000aEqual training sensitivity and specificity cumulative threshold: 15.779\u000aEqual training sensitivity and specificity logistic threshold: 0.2199\u000aEqual training sensitivity and specificity area: 0.0351\u000aEqual training sensitivity and specificity training omission: 0.0308\u000aEqual training sensitivity and specificity test omission: 0.1429\u000aEqual training sensitivity and specificity binomial probability: 1.28E-08\u000aMaximum training sensitivity plus specificity cumulative threshold: 15.4687\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2166\u000aMaximum training sensitivity plus specificity area: 0.0357\u000aMaximum training sensitivity plus specificity training omission: 0.0154\u000aMaximum training sensitivity plus specificity test omission: 0.1429\u000aMaximum training sensitivity plus specificity binomial probability: 1.41E-08\u000aEqual test sensitivity and specificity cumulative threshold: 4.7332\u000aEqual test sensitivity and specificity logistic threshold: 0.038\u000aEqual test sensitivity and specificity area: 0.0883\u000aEqual test sensitivity and specificity training omission: 0\u000aEqual test sensitivity and specificity test omission: 0.1429\u000aEqual test sensitivity and specificity binomial probability: 3.06E-06\u000aMaximum test sensitivity plus specificity cumulative threshold: 4.7311\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0379\u000aMaximum test sensitivity plus specificity area: 0.0883\u000aMaximum test sensitivity plus specificity training omission: 0\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 4.17E-08\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.8276\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0207\u000aBalance training omission, predicted area and threshold value area: 0.1232\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 4.31E-07\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.29\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1101\u000aEquate entropy of thresholded and original distributions area: 0.0531\u000aEquate entropy of thresholded and original distributions training omission: 0.0154\u000aEquate entropy of thresholded and original distributions test omission: 0.1429\u000aEquate entropy of thresholded and original distributions binomial probability: 1.50E-07
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p80846
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 3833\u000aRegularized training gain: 0.7296\u000aUnregularized training gain: 0.7715\u000aIterations: 500\u000aTraining AUC: 0.8144\u000a#Test samples: 425\u000aTest gain: 0.7372\u000aTest AUC: 0.8091\u000aAUC Standard Deviation: 0.0068\u000a#Background points: 13831\u000abio_12_etrs2_ras contribution: 7.2249\u000abio_15_etrs2_ras contribution: 1.3313\u000abio_18_etrs2_ras contribution: 5.0275\u000abio_4_etrs2_ras contribution: 57.2887\u000abio_8_etrs2_ras contribution: 0.1087\u000adist2water1km contribution: 0.099\u000apet_he_yr contribution: 25.3307\u000asoil_ph contribution: 0.2365\u000asolar_1km contribution: 3.3526\u000abio_12_etrs2_ras permutation importance: 6.7298\u000abio_15_etrs2_ras permutation importance: 2.9637\u000abio_18_etrs2_ras permutation importance: 3.5609\u000abio_4_etrs2_ras permutation importance: 60.7858\u000abio_8_etrs2_ras permutation importance: 0.5247\u000adist2water1km permutation importance: 0.5285\u000apet_he_yr permutation importance: 20.3984\u000asoil_ph permutation importance: 0.6564\u000asolar_1km permutation importance: 3.8518\u000aEntropy: 8.8058\u000aPrevalence (average of logistic output over background sites): 0.2375\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0703\u000aFixed cumulative value 1 area: 0.5494\u000aFixed cumulative value 1 training omission: 0.0055\u000aFixed cumulative value 1 test omission: 0.0118\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2449\u000aFixed cumulative value 5 area: 0.4424\u000aFixed cumulative value 5 training omission: 0.0324\u000aFixed cumulative value 5 test omission: 0.0447\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3549\u000aFixed cumulative value 10 area: 0.3875\u000aFixed cumulative value 10 training omission: 0.0788\u000aFixed cumulative value 10 test omission: 0.0776\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0905\u000aMinimum training presence logistic threshold: 0.0045\u000aMinimum training presence area: 0.7482\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0047\u000aMinimum training presence binomial probability: 4.13E-32\u000a10 percentile training presence cumulative threshold: 12.1187\u000a10 percentile training presence logistic threshold: 0.3765\u000a10 percentile training presence area: 0.3699\u000a10 percentile training presence training omission: 0.0999\u000a10 percentile training presence test omission: 0.0847\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 28.4686\u000aEqual training sensitivity and specificity logistic threshold: 0.4751\u000aEqual training sensitivity and specificity area: 0.2656\u000aEqual training sensitivity and specificity training omission: 0.2656\u000aEqual training sensitivity and specificity test omission: 0.2565\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.9074\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3398\u000aMaximum training sensitivity plus specificity area: 0.3974\u000aMaximum training sensitivity plus specificity training omission: 0.0663\u000aMaximum training sensitivity plus specificity test omission: 0.0706\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 28.8768\u000aEqual test sensitivity and specificity logistic threshold: 0.4768\u000aEqual test sensitivity and specificity area: 0.2635\u000aEqual test sensitivity and specificity training omission: 0.269\u000aEqual test sensitivity and specificity test omission: 0.2635\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 12.1714\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3772\u000aMaximum test sensitivity plus specificity area: 0.3695\u000aMaximum test sensitivity plus specificity training omission: 0.1002\u000aMaximum test sensitivity plus specificity test omission: 0.0847\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1058\u000aBalance training omission, predicted area and threshold value area: 0.5243\u000aBalance training omission, predicted area and threshold value training omission: 0.007\u000aBalance training omission, predicted area and threshold value test omission: 0.0118\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1671\u000aEquate entropy of thresholded and original distributions area: 0.4825\u000aEquate entropy of thresholded and original distributions training omission: 0.0162\u000aEquate entropy of thresholded and original distributions test omission: 0.0165\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
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p80946
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. 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It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 24\u000aRegularized training gain: 3.9274\u000aUnregularized training gain: 4.4227\u000aIterations: 500\u000aTraining AUC: 0.9961\u000a#Test samples: 2\u000aTest gain: 4.3971\u000aTest AUC: 0.9968\u000aAUC Standard Deviation: 0.0006\u000a#Background points: 5018\u000abio_12_etrs2_ras contribution: 3.5452\u000abio_15_etrs2_ras contribution: 1.9717\u000abio_18_etrs2_ras contribution: 0.0221\u000abio_4_etrs2_ras contribution: 1.3211\u000abio_8_etrs2_ras contribution: 0\u000abld_m_sd1_1km_eu_ll contribution: 17.2713\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3305\u000aclyppt_m_sd1_1km_eu_ll contribution: 0\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.3214\u000adist2water1km contribution: 2.2883\u000aorcdrc_m_sd1_1km_eu_ll contribution: 36.0461\u000apet_he_yr contribution: 15.4644\u000asltppt_m_sd1_1km_eu_ll contribution: 21.1382\u000asndppt_m_sd1_1km_eu_ll contribution: 0\u000asolar_1km contribution: 0.2797\u000abio_12_etrs2_ras permutation importance: 2.0027\u000abio_15_etrs2_ras permutation importance: 1.063\u000abio_18_etrs2_ras permutation importance: 0.7619\u000abio_4_etrs2_ras permutation importance: 2.3401\u000abio_8_etrs2_ras permutation importance: 0\u000abld_m_sd1_1km_eu_ll permutation importance: 74.3025\u000acecsum_m_sd1_1km_eu_ll permutation importance: 1.4095\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0\u000adist2water1km permutation importance: 0.3701\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.0834\u000apet_he_yr permutation importance: 2.9569\u000asltppt_m_sd1_1km_eu_ll permutation importance: 13.2297\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 1.4802\u000aTraining gain without bio_12_etrs2_ras: 3.8924\u000aTraining gain without bio_15_etrs2_ras: 3.8655\u000aTraining gain without bio_18_etrs2_ras: 3.9261\u000aTraining gain without bio_4_etrs2_ras: 3.8786\u000aTraining gain without bio_8_etrs2_ras: 3.9231\u000aTraining gain without bld_m_sd1_1km_eu_ll: 3.7399\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 3.9095\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 3.9211\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 3.9231\u000aTraining gain without dist2water1km: 3.8775\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 3.9247\u000aTraining gain without pet_he_yr: 3.89\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 3.7867\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 3.9221\u000aTraining gain without solar_1km: 3.9035\u000aTraining gain with only bio_12_etrs2_ras: 1.3562\u000aTraining gain with only bio_15_etrs2_ras: 0.3848\u000aTraining gain with only bio_18_etrs2_ras: 1.3901\u000aTraining gain with only bio_4_etrs2_ras: 0.6484\u000aTraining gain with only bio_8_etrs2_ras: 0.2176\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 2.457\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.8482\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.7163\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.6358\u000aTraining gain with only dist2water1km: 0.0506\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 2.0218\u000aTraining gain with only pet_he_yr: 2.1376\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 1.1601\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 1.1125\u000aTraining gain with only solar_1km: 0.2369\u000aTest gain without bio_12_etrs2_ras: 4.4276\u000aTest gain without bio_15_etrs2_ras: 4.2745\u000aTest gain without bio_18_etrs2_ras: 4.3974\u000aTest gain without bio_4_etrs2_ras: 4.3466\u000aTest gain without bio_8_etrs2_ras: 4.3722\u000aTest gain without bld_m_sd1_1km_eu_ll: 4.1797\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 4.3802\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 4.4035\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 4.3838\u000aTest gain without dist2water1km: 4.3739\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 4.3681\u000aTest gain without pet_he_yr: 4.257\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 4.3537\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 4.4064\u000aTest gain without solar_1km: 4.1663\u000aTest gain with only bio_12_etrs2_ras: 0.7313\u000aTest gain with only bio_15_etrs2_ras: 0.8871\u000aTest gain with only bio_18_etrs2_ras: 1.9519\u000aTest gain with only bio_4_etrs2_ras: 1.3971\u000aTest gain with only bio_8_etrs2_ras: 0.4746\u000aTest gain with only bld_m_sd1_1km_eu_ll: 2.9343\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.8253\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7779\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8564\u000aTest gain with only dist2water1km: 0.0174\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 1.5202\u000aTest gain with only pet_he_yr: 2.9046\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 1.219\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 1.0581\u000aTest gain with only solar_1km: 0.78\u000aAUC without bio_12_etrs2_ras: 0.997\u000aAUC without bio_15_etrs2_ras: 0.996\u000aAUC without bio_18_etrs2_ras: 0.9969\u000aAUC without bio_4_etrs2_ras: 0.9961\u000aAUC without bio_8_etrs2_ras: 0.9968\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9955\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9962\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9968\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9966\u000aAUC without dist2water1km: 0.9969\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9967\u000aAUC without pet_he_yr: 0.996\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9968\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9968\u000aAUC without solar_1km: 0.9958\u000aAUC with only bio_12_etrs2_ras: 0.8585\u000aAUC with only bio_15_etrs2_ras: 0.9605\u000aAUC with only bio_18_etrs2_ras: 0.9442\u000aAUC with only bio_4_etrs2_ras: 0.9575\u000aAUC with only bio_8_etrs2_ras: 0.8629\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.9833\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.8353\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.8117\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.8384\u000aAUC with only dist2water1km: 0.5449\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.9374\u000aAUC with only pet_he_yr: 0.9843\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.8967\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.8683\u000aAUC with only solar_1km: 0.9298\u000aEntropy: 4.5847\u000aPrevalence (average of logistic output over background sites): 0.0091\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0054\u000aFixed cumulative value 1 area: 0.0793\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 6.29E-03\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0448\u000aFixed cumulative value 5 area: 0.0323\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.04E-03\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1038\u000aFixed cumulative value 10 area: 0.0193\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 3.74E-04\u000aMinimum training presence cumulative threshold: 16.1171\u000aMinimum training presence logistic threshold: 0.2352\u000aMinimum training presence area: 0.0128\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.63E-04\u000a10 percentile training presence cumulative threshold: 25.4166\u000a10 percentile training presence logistic threshold: 0.3692\u000a10 percentile training presence area: 0.0088\u000a10 percentile training presence training omission: 0.0833\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 7.69E-05\u000aEqual training sensitivity and specificity cumulative threshold: 16.1171\u000aEqual training sensitivity and specificity logistic threshold: 0.2352\u000aEqual training sensitivity and specificity area: 0.0128\u000aEqual training sensitivity and specificity training omission: 0\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 1.63E-04\u000aMaximum training sensitivity plus specificity cumulative threshold: 16.1171\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2352\u000aMaximum training sensitivity plus specificity area: 0.0128\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 1.63E-04\u000aEqual test sensitivity and specificity cumulative threshold: 52.733\u000aEqual test sensitivity and specificity logistic threshold: 0.5889\u000aEqual test sensitivity and specificity area: 0.0034\u000aEqual test sensitivity and specificity training omission: 0.375\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 1.15E-05\u000aMaximum test sensitivity plus specificity cumulative threshold: 52.733\u000aMaximum test sensitivity plus specificity logistic threshold: 0.5889\u000aMaximum test sensitivity plus specificity area: 0.0034\u000aMaximum test sensitivity plus specificity training omission: 0.375\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.15E-05\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3503\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0078\u000aBalance training omission, predicted area and threshold value area: 0.0686\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 4.70E-03\u000aEquate entropy of thresholded and original distributions cumulative threshold: 10.1085\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1038\u000aEquate entropy of thresholded and original distributions area: 0.0193\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 3.74E-04
p80991
sbg8
(g9
g10
NtRp80992
(dp80993
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d85846cf-bd5b-4c9e-bd28-14ee1b2304fd
p80994
sbg8
(g9
g10
NtRp80995
(dp80996
g13
Nsg14
g74
sg15
V1940
p80997
sbg8
(g9
g10
NtRp80998
(dp80999
g13
Nsg14
g74
sg15
V2011
p81000
sbg8
(g9
g10
NtRp81001
(dp81002
g13
Nsg14
Nsg15
VTRUE
p81003
sbg8
(g9
g10
NtRp81004
(dp81005
g13
Nsg14
Nsg15
VEurope
p81006
sbg8
(g9
g10
NtRp81007
(dp81008
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81009
sbg8
(g9
g10
NtRp81010
(dp81011
g13
Nsg14
Nsg15
VFALSE
p81012
sbg8
(g9
g10
NtRp81013
(dp81014
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81015
sbg8
(g9
g10
NtRp81016
(dp81017
g13
Nsg14
Nsg15
VFALSE
p81018
sbNNNNNNNg8
(g9
g10
NtRp81019
(dp81020
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81021
(dp81022
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81023
(dp81024
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f6-7_1940-2011_rev01
p81025
sbNNtp81026
a(g8
(g9
g10
NtRp81027
(dp81028
g13
Nsg14
Nsg15
Vc459aa6d-6032-48f3-a288-8ad339a159ec
p81029
sbNg8
(g9
g10
NtRp81030
(dp81031
g13
Nsg14
Nsg15
VEUNIS habitat type G2.2 distribution based on vegetation plot data - version 1, Jan. 2015
p81032
sbNNNNNg8
(g9
g10
NtRp81033
(dp81034
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p81035
sbg8
(g23
g10
NtRp81036
(dp81037
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81038
sbNg8
(g9
g10
NtRp81039
(dp81040
g13
Nsg14
Nsg15
VFALSE
p81041
sbNNNg8
(g9
g10
NtRp81042
(dp81043
g13
Nsg14
Nsg15
VFALSE
p81044
sbNNg8
(g9
g10
NtRp81045
(dp81046
g13
Nsg14
Nsg15
VFALSE
p81047
sbNNg8
(g9
g10
NtRp81048
(dp81049
g13
Nsg14
Nsg15
VFALSE
p81050
sbNg8
(g9
g10
NtRp81051
(dp81052
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-2_dist_edt1.png
p81053
sbg8
(g9
g10
NtRp81054
(dp81055
g13
Nsg14
Nsg15
VEPSG:3035
p81056
sbg8
(g9
g10
NtRp81057
(dp81058
g13
Nsg14
Nsg15
V2019-06-04
p81059
sbNg8
(g9
g10
NtRp81060
(dp81061
g13
Nsg14
Nsg15
VHabitats and biotopes
p81062
sbg8
(g9
g10
NtRp81063
(dp81064
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p81065
sbg8
(g9
g10
NtRp81066
(dp81067
g13
Nsg14
Nsg15
Vvector
p81068
sbg8
(g9
g10
NtRp81069
(dp81070
g13
Nsg14
Nsg15
VSHP
p81071
sbNg8
(g9
g10
NtRp81072
(dp81073
g13
Nsg14
Nsg15
V1:10000000
p81074
sbNg8
(g9
g10
NtRp81075
(dp81076
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p81077
sbg8
(g9
g10
NtRp81078
(dp81079
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c459aa6d-6032-48f3-a288-8ad339a159ec
p81080
sbg8
(g9
g10
NtRp81081
(dp81082
g13
Nsg14
g74
sg15
V1940
p81083
sbg8
(g9
g10
NtRp81084
(dp81085
g13
Nsg14
g74
sg15
V2011
p81086
sbg8
(g9
g10
NtRp81087
(dp81088
g13
Nsg14
Nsg15
VTRUE
p81089
sbg8
(g9
g10
NtRp81090
(dp81091
g13
Nsg14
Nsg15
VEurope
p81092
sbg8
(g9
g10
NtRp81093
(dp81094
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81095
sbg8
(g9
g10
NtRp81096
(dp81097
g13
Nsg14
Nsg15
VFALSE
p81098
sbg8
(g9
g10
NtRp81099
(dp81100
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81101
sbg8
(g9
g10
NtRp81102
(dp81103
g13
Nsg14
Nsg15
VFALSE
p81104
sbNNNNNNNg8
(g9
g10
NtRp81105
(dp81106
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81107
(dp81108
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81109
(dp81110
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g2-2_1940-2011_rev01
p81111
sbNNtp81112
a(g8
(g9
g10
NtRp81113
(dp81114
g13
Nsg14
Nsg15
V07e45088-961e-4d72-8ba1-c74f012c0868
p81115
sbNg8
(g9
g10
NtRp81116
(dp81117
g13
Nsg14
Nsg15
VEUNIS habitat type F6-1b distribution based on vegetation plot data - version 1, June 2016
p81118
sbNNNNNg8
(g9
g10
NtRp81119
(dp81120
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p81121
sbg8
(g23
g10
NtRp81122
(dp81123
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81124
sbNg8
(g9
g10
NtRp81125
(dp81126
g13
Nsg14
Nsg15
VFALSE
p81127
sbNNNg8
(g9
g10
NtRp81128
(dp81129
g13
Nsg14
Nsg15
VFALSE
p81130
sbNNg8
(g9
g10
NtRp81131
(dp81132
g13
Nsg14
Nsg15
VFALSE
p81133
sbNNg8
(g9
g10
NtRp81134
(dp81135
g13
Nsg14
Nsg15
VFALSE
p81136
sbNg8
(g9
g10
NtRp81137
(dp81138
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_dist_edt1.png
p81139
sbg8
(g9
g10
NtRp81140
(dp81141
g13
Nsg14
Nsg15
VEPSG:3035
p81142
sbg8
(g9
g10
NtRp81143
(dp81144
g13
Nsg14
Nsg15
V2019-06-04
p81145
sbNg8
(g9
g10
NtRp81146
(dp81147
g13
Nsg14
Nsg15
VHabitats and biotopes
p81148
sbg8
(g9
g10
NtRp81149
(dp81150
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p81151
sbg8
(g9
g10
NtRp81152
(dp81153
g13
Nsg14
Nsg15
Vvector
p81154
sbg8
(g9
g10
NtRp81155
(dp81156
g13
Nsg14
Nsg15
VSHP
p81157
sbNg8
(g9
g10
NtRp81158
(dp81159
g13
Nsg14
Nsg15
V1:10000000
p81160
sbNg8
(g9
g10
NtRp81161
(dp81162
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p81163
sbg8
(g9
g10
NtRp81164
(dp81165
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07e45088-961e-4d72-8ba1-c74f012c0868
p81166
sbg8
(g9
g10
NtRp81167
(dp81168
g13
Nsg14
g74
sg15
V1940
p81169
sbg8
(g9
g10
NtRp81170
(dp81171
g13
Nsg14
g74
sg15
V2011
p81172
sbg8
(g9
g10
NtRp81173
(dp81174
g13
Nsg14
Nsg15
VTRUE
p81175
sbg8
(g9
g10
NtRp81176
(dp81177
g13
Nsg14
Nsg15
VEurope
p81178
sbg8
(g9
g10
NtRp81179
(dp81180
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81181
sbg8
(g9
g10
NtRp81182
(dp81183
g13
Nsg14
Nsg15
VFALSE
p81184
sbg8
(g9
g10
NtRp81185
(dp81186
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81187
sbg8
(g9
g10
NtRp81188
(dp81189
g13
Nsg14
Nsg15
VFALSE
p81190
sbNNNNNNNg8
(g9
g10
NtRp81191
(dp81192
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81193
(dp81194
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81195
(dp81196
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f6-1b_1940-2011_rev01
p81197
sbNNtp81198
a(g8
(g9
g10
NtRp81199
(dp81200
g13
Nsg14
Nsg15
V7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a
p81201
sbNg8
(g9
g10
NtRp81202
(dp81203
g13
Nsg14
Nsg15
VEUNIS habitat type F6-8a distribution based on vegetation plot data - version 1, June 2016
p81204
sbNNNNNg8
(g9
g10
NtRp81205
(dp81206
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p81207
sbg8
(g23
g10
NtRp81208
(dp81209
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81210
sbNg8
(g9
g10
NtRp81211
(dp81212
g13
Nsg14
Nsg15
VFALSE
p81213
sbNNNg8
(g9
g10
NtRp81214
(dp81215
g13
Nsg14
Nsg15
VFALSE
p81216
sbNNg8
(g9
g10
NtRp81217
(dp81218
g13
Nsg14
Nsg15
VFALSE
p81219
sbNNg8
(g9
g10
NtRp81220
(dp81221
g13
Nsg14
Nsg15
VFALSE
p81222
sbNg8
(g9
g10
NtRp81223
(dp81224
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-8a_dist_edt1.png
p81225
sbg8
(g9
g10
NtRp81226
(dp81227
g13
Nsg14
Nsg15
VEPSG:3035
p81228
sbg8
(g9
g10
NtRp81229
(dp81230
g13
Nsg14
Nsg15
V2019-06-04
p81231
sbNg8
(g9
g10
NtRp81232
(dp81233
g13
Nsg14
Nsg15
VHabitats and biotopes
p81234
sbg8
(g9
g10
NtRp81235
(dp81236
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p81237
sbg8
(g9
g10
NtRp81238
(dp81239
g13
Nsg14
Nsg15
Vvector
p81240
sbg8
(g9
g10
NtRp81241
(dp81242
g13
Nsg14
Nsg15
VSHP
p81243
sbNg8
(g9
g10
NtRp81244
(dp81245
g13
Nsg14
Nsg15
V1:10000000
p81246
sbNg8
(g9
g10
NtRp81247
(dp81248
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p81249
sbg8
(g9
g10
NtRp81250
(dp81251
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a
p81252
sbg8
(g9
g10
NtRp81253
(dp81254
g13
Nsg14
g74
sg15
V1940
p81255
sbg8
(g9
g10
NtRp81256
(dp81257
g13
Nsg14
g74
sg15
V2011
p81258
sbg8
(g9
g10
NtRp81259
(dp81260
g13
Nsg14
Nsg15
VTRUE
p81261
sbg8
(g9
g10
NtRp81262
(dp81263
g13
Nsg14
Nsg15
VEurope
p81264
sbg8
(g9
g10
NtRp81265
(dp81266
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81267
sbg8
(g9
g10
NtRp81268
(dp81269
g13
Nsg14
Nsg15
VFALSE
p81270
sbg8
(g9
g10
NtRp81271
(dp81272
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81273
sbg8
(g9
g10
NtRp81274
(dp81275
g13
Nsg14
Nsg15
VFALSE
p81276
sbNNNNNNNg8
(g9
g10
NtRp81277
(dp81278
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81279
(dp81280
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81281
(dp81282
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f6-8a_1940-2011_rev01
p81283
sbNNtp81284
a(g8
(g9
g10
NtRp81285
(dp81286
g13
Nsg14
Nsg15
Vc1cd914e-4962-47fc-869d-8cff1f446a02
p81287
sbNg8
(g9
g10
NtRp81288
(dp81289
g13
Nsg14
Nsg15
VEUNIS habitat type F6-6 distribution based on vegetation plot data - version 1, June 2016
p81290
sbNNNNNg8
(g9
g10
NtRp81291
(dp81292
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p81293
sbg8
(g23
g10
NtRp81294
(dp81295
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81296
sbNg8
(g9
g10
NtRp81297
(dp81298
g13
Nsg14
Nsg15
VFALSE
p81299
sbNNNg8
(g9
g10
NtRp81300
(dp81301
g13
Nsg14
Nsg15
VFALSE
p81302
sbNNg8
(g9
g10
NtRp81303
(dp81304
g13
Nsg14
Nsg15
VFALSE
p81305
sbNNg8
(g9
g10
NtRp81306
(dp81307
g13
Nsg14
Nsg15
VFALSE
p81308
sbNg8
(g9
g10
NtRp81309
(dp81310
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_dist_edt1.png
p81311
sbg8
(g9
g10
NtRp81312
(dp81313
g13
Nsg14
Nsg15
VEPSG:3035
p81314
sbg8
(g9
g10
NtRp81315
(dp81316
g13
Nsg14
Nsg15
V2019-06-04
p81317
sbNg8
(g9
g10
NtRp81318
(dp81319
g13
Nsg14
Nsg15
VHabitats and biotopes
p81320
sbg8
(g9
g10
NtRp81321
(dp81322
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p81323
sbg8
(g9
g10
NtRp81324
(dp81325
g13
Nsg14
Nsg15
Vvector
p81326
sbg8
(g9
g10
NtRp81327
(dp81328
g13
Nsg14
Nsg15
VSHP
p81329
sbNg8
(g9
g10
NtRp81330
(dp81331
g13
Nsg14
Nsg15
V1:10000000
p81332
sbNg8
(g9
g10
NtRp81333
(dp81334
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p81335
sbg8
(g9
g10
NtRp81336
(dp81337
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c1cd914e-4962-47fc-869d-8cff1f446a02
p81338
sbg8
(g9
g10
NtRp81339
(dp81340
g13
Nsg14
g74
sg15
V1940
p81341
sbg8
(g9
g10
NtRp81342
(dp81343
g13
Nsg14
g74
sg15
V2011
p81344
sbg8
(g9
g10
NtRp81345
(dp81346
g13
Nsg14
Nsg15
VTRUE
p81347
sbg8
(g9
g10
NtRp81348
(dp81349
g13
Nsg14
Nsg15
VEurope
p81350
sbg8
(g9
g10
NtRp81351
(dp81352
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81353
sbg8
(g9
g10
NtRp81354
(dp81355
g13
Nsg14
Nsg15
VFALSE
p81356
sbg8
(g9
g10
NtRp81357
(dp81358
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81359
sbg8
(g9
g10
NtRp81360
(dp81361
g13
Nsg14
Nsg15
VFALSE
p81362
sbNNNNNNNg8
(g9
g10
NtRp81363
(dp81364
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81365
(dp81366
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81367
(dp81368
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f6-6_1940-2011_rev01
p81369
sbNNtp81370
a(g8
(g9
g10
NtRp81371
(dp81372
g13
Nsg14
Nsg15
Vc87e19e3-f4a0-4fb8-b581-ef92283590db
p81373
sbNg8
(g9
g10
NtRp81374
(dp81375
g13
Nsg14
Nsg15
VEUNIS habitat type G1.4, predicted distribution of habitat suitability - version 1, Jan. 2015
p81376
sbNNNNNg8
(g9
g10
NtRp81377
(dp81378
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p81379
sbg8
(g23
g10
NtRp81380
(dp81381
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81382
sbNg8
(g9
g10
NtRp81383
(dp81384
g13
Nsg14
Nsg15
VFALSE
p81385
sbNNNg8
(g9
g10
NtRp81386
(dp81387
g13
Nsg14
Nsg15
VFALSE
p81388
sbNNg8
(g9
g10
NtRp81389
(dp81390
g13
Nsg14
Nsg15
VFALSE
p81391
sbNNg8
(g9
g10
NtRp81392
(dp81393
g13
Nsg14
Nsg15
VFALSE
p81394
sbNg8
(g9
g10
NtRp81395
(dp81396
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_forest_bg_ed1.png
p81397
sbg8
(g9
g10
NtRp81398
(dp81399
g13
Nsg14
Nsg15
VEPSG:3035
p81400
sbg8
(g9
g10
NtRp81401
(dp81402
g13
Nsg14
Nsg15
V2019-06-04
p81403
sbNg8
(g9
g10
NtRp81404
(dp81405
g13
Nsg14
Nsg15
VHabitats and biotopes
p81406
sbg8
(g9
g10
NtRp81407
(dp81408
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p81409
sbg8
(g9
g10
NtRp81410
(dp81411
g13
Nsg14
Nsg15
Vgrid
p81412
sbg8
(g9
g10
NtRp81413
(dp81414
g13
Nsg14
Nsg15
VAAIGrid
p81415
sbNg8
(g9
g10
NtRp81416
(dp81417
g13
Nsg14
Nsg15
V1000m
p81418
sbNg8
(g9
g10
NtRp81419
(dp81420
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 912\u000aRegularized training gain: 0.7392\u000aUnregularized training gain: 0.8525\u000aIterations: 500\u000aTraining AUC: 0.8424\u000a#Test samples: 101\u000aTest gain: 0.7284\u000aTest AUC: 0.8173\u000aAUC Standard Deviation: 0.0174\u000a#Background points: 10580\u000abio_12_etrs2_ras contribution: 12.3519\u000abio_15_etrs2_ras contribution: 0.8557\u000abio_18_etrs2_ras contribution: 18.6273\u000abio_4_etrs2_ras contribution: 2.535\u000abio_8_etrs2_ras contribution: 16.2205\u000adist2water1km contribution: 0.0447\u000apet_he_yr contribution: 9.4265\u000asoil_ph contribution: 4.6459\u000asolar_1km contribution: 35.2926\u000abio_12_etrs2_ras permutation importance: 13.6586\u000abio_15_etrs2_ras permutation importance: 4.0317\u000abio_18_etrs2_ras permutation importance: 18.4178\u000abio_4_etrs2_ras permutation importance: 2.9111\u000abio_8_etrs2_ras permutation importance: 4.1676\u000adist2water1km permutation importance: 0.0715\u000apet_he_yr permutation importance: 11.5987\u000asoil_ph permutation importance: 5.3003\u000asolar_1km permutation importance: 39.8427\u000aTraining gain without bio_12_etrs2_ras: 0.7256\u000aTraining gain without bio_15_etrs2_ras: 0.7317\u000aTraining gain without bio_18_etrs2_ras: 0.7149\u000aTraining gain without bio_4_etrs2_ras: 0.7293\u000aTraining gain without bio_8_etrs2_ras: 0.728\u000aTraining gain without dist2water1km: 0.7392\u000aTraining gain without pet_he_yr: 0.7197\u000aTraining gain without soil_ph: 0.7154\u000aTraining gain without solar_1km: 0.6433\u000aTraining gain with only bio_12_etrs2_ras: 0.2558\u000aTraining gain with only bio_15_etrs2_ras: 0.0594\u000aTraining gain with only bio_18_etrs2_ras: 0.3061\u000aTraining gain with only bio_4_etrs2_ras: 0.04\u000aTraining gain with only bio_8_etrs2_ras: 0.2483\u000aTraining gain with only dist2water1km: 0.0044\u000aTraining gain with only pet_he_yr: 0.1689\u000aTraining gain with only soil_ph: 0.1074\u000aTraining gain with only solar_1km: 0.4059\u000aTest gain without bio_12_etrs2_ras: 0.7319\u000aTest gain without bio_15_etrs2_ras: 0.7082\u000aTest gain without bio_18_etrs2_ras: 0.709\u000aTest gain without bio_4_etrs2_ras: 0.7379\u000aTest gain without bio_8_etrs2_ras: 0.6971\u000aTest gain without dist2water1km: 0.7273\u000aTest gain without pet_he_yr: 0.6924\u000aTest gain without soil_ph: 0.6988\u000aTest gain without solar_1km: 0.6756\u000aTest gain with only bio_12_etrs2_ras: 0.2155\u000aTest gain with only bio_15_etrs2_ras: 0.0712\u000aTest gain with only bio_18_etrs2_ras: 0.2763\u000aTest gain with only bio_4_etrs2_ras: 0.076\u000aTest gain with only bio_8_etrs2_ras: 0.2765\u000aTest gain with only dist2water1km: -0.0077\u000aTest gain with only pet_he_yr: 0.1493\u000aTest gain with only soil_ph: 0.1396\u000aTest gain with only solar_1km: 0.3617\u000aAUC without bio_12_etrs2_ras: 0.8197\u000aAUC without bio_15_etrs2_ras: 0.8131\u000aAUC without bio_18_etrs2_ras: 0.8133\u000aAUC without bio_4_etrs2_ras: 0.8192\u000aAUC without bio_8_etrs2_ras: 0.8107\u000aAUC without dist2water1km: 0.8165\u000aAUC without pet_he_yr: 0.811\u000aAUC without soil_ph: 0.8147\u000aAUC without solar_1km: 0.8035\u000aAUC with only bio_12_etrs2_ras: 0.6866\u000aAUC with only bio_15_etrs2_ras: 0.5819\u000aAUC with only bio_18_etrs2_ras: 0.6863\u000aAUC with only bio_4_etrs2_ras: 0.6182\u000aAUC with only bio_8_etrs2_ras: 0.716\u000aAUC with only dist2water1km: 0.5139\u000aAUC with only pet_he_yr: 0.6349\u000aAUC with only soil_ph: 0.6468\u000aAUC with only solar_1km: 0.7345\u000aEntropy: 8.5288\u000aPrevalence (average of logistic output over background sites): 0.235\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.052\u000aFixed cumulative value 1 area: 0.7133\u000aFixed cumulative value 1 training omission: 0.0066\u000aFixed cumulative value 1 test omission: 0.0099\u000aFixed cumulative value 1 binomial probability: 3.85E-10\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1535\u000aFixed cumulative value 5 area: 0.5454\u000aFixed cumulative value 5 training omission: 0.0351\u000aFixed cumulative value 5 test omission: 0.0396\u000aFixed cumulative value 5 binomial probability: 2.73E-17\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2226\u000aFixed cumulative value 10 area: 0.4431\u000aFixed cumulative value 10 training omission: 0.0757\u000aFixed cumulative value 10 test omission: 0.099\u000aFixed cumulative value 10 binomial probability: 9.88E-21\u000aMinimum training presence cumulative threshold: 0.0248\u000aMinimum training presence logistic threshold: 0.0038\u000aMinimum training presence area: 0.9313\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.17E-03\u000a10 percentile training presence cumulative threshold: 12.5397\u000a10 percentile training presence logistic threshold: 0.2476\u000a10 percentile training presence area: 0.4037\u000a10 percentile training presence training omission: 0.0998\u000a10 percentile training presence test omission: 0.1287\u000a10 percentile training presence binomial probability: 4.94E-22\u000aEqual training sensitivity and specificity cumulative threshold: 28.792\u000aEqual training sensitivity and specificity logistic threshold: 0.3916\u000aEqual training sensitivity and specificity area: 0.2379\u000aEqual training sensitivity and specificity training omission: 0.2379\u000aEqual training sensitivity and specificity test omission: 0.3069\u000aEqual training sensitivity and specificity binomial probability: 3.20E-27\u000aMaximum training sensitivity plus specificity cumulative threshold: 21.6377\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3364\u000aMaximum training sensitivity plus specificity area: 0.2975\u000aMaximum training sensitivity plus specificity training omission: 0.1678\u000aMaximum training sensitivity plus specificity test omission: 0.2376\u000aMaximum training sensitivity plus specificity binomial probability: 8.22E-25\u000aEqual test sensitivity and specificity cumulative threshold: 26.2295\u000aEqual test sensitivity and specificity logistic threshold: 0.374\u000aEqual test sensitivity and specificity area: 0.2576\u000aEqual test sensitivity and specificity training omission: 0.2215\u000aEqual test sensitivity and specificity test omission: 0.2574\u000aEqual test sensitivity and specificity binomial probability: 3.72E-29\u000aMaximum test sensitivity plus specificity cumulative threshold: 16.7376\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2904\u000aMaximum test sensitivity plus specificity area: 0.3488\u000aMaximum test sensitivity plus specificity training omission: 0.1272\u000aMaximum test sensitivity plus specificity test omission: 0.1584\u000aMaximum test sensitivity plus specificity binomial probability: 1.35E-25\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.0682\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1161\u000aBalance training omission, predicted area and threshold value area: 0.6045\u000aBalance training omission, predicted area and threshold value training omission: 0.0132\u000aBalance training omission, predicted area and threshold value test omission: 0.0297\u000aBalance training omission, predicted area and threshold value binomial probability: 2.78E-14\u000aEquate entropy of thresholded and original distributions cumulative threshold: 8.0374\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2003\u000aEquate entropy of thresholded and original distributions area: 0.4781\u000aEquate entropy of thresholded and original distributions training omission: 0.0581\u000aEquate entropy of thresholded and original distributions test omission: 0.0891\u000aEquate entropy of thresholded and original distributions binomial probability: 1.55E-18
p81421
sbg8
(g9
g10
NtRp81422
(dp81423
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c87e19e3-f4a0-4fb8-b581-ef92283590db
p81424
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g10
NtRp81425
(dp81426
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g74
sg15
V1940
p81427
sbg8
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g10
NtRp81428
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g74
sg15
V2011
p81430
sbg8
(g9
g10
NtRp81431
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VTRUE
p81433
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(g9
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VEurope
p81436
sbg8
(g9
g10
NtRp81437
(dp81438
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81439
sbg8
(g9
g10
NtRp81440
(dp81441
g13
Nsg14
Nsg15
VFALSE
p81442
sbg8
(g9
g10
NtRp81443
(dp81444
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Nsg14
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VEuropean Environment Agency
p81445
sbg8
(g9
g10
NtRp81446
(dp81447
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Nsg14
Nsg15
VFALSE
p81448
sbNNNNNNNg8
(g9
g10
NtRp81449
(dp81450
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Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81451
(dp81452
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81453
(dp81454
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g1-4_1940-2011_rev01
p81455
sbNNtp81456
a(g8
(g9
g10
NtRp81457
(dp81458
g13
Nsg14
Nsg15
Vb3f9a053-2319-4af5-89f7-660b014593ba
p81459
sbNg8
(g9
g10
NtRp81460
(dp81461
g13
Nsg14
Nsg15
VEUNIS habitat type B2-5 distribution based on vegetation plot data - version 1, June 2016
p81462
sbNNNNNg8
(g9
g10
NtRp81463
(dp81464
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p81465
sbg8
(g23
g10
NtRp81466
(dp81467
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81468
sbNg8
(g9
g10
NtRp81469
(dp81470
g13
Nsg14
Nsg15
VFALSE
p81471
sbNNNg8
(g9
g10
NtRp81472
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g13
Nsg14
Nsg15
VFALSE
p81474
sbNNg8
(g9
g10
NtRp81475
(dp81476
g13
Nsg14
Nsg15
VFALSE
p81477
sbNNg8
(g9
g10
NtRp81478
(dp81479
g13
Nsg14
Nsg15
VFALSE
p81480
sbNg8
(g9
g10
NtRp81481
(dp81482
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_dist_edt1.png
p81483
sbg8
(g9
g10
NtRp81484
(dp81485
g13
Nsg14
Nsg15
VEPSG:3035
p81486
sbg8
(g9
g10
NtRp81487
(dp81488
g13
Nsg14
Nsg15
V2019-06-04
p81489
sbNg8
(g9
g10
NtRp81490
(dp81491
g13
Nsg14
Nsg15
VHabitats and biotopes
p81492
sbg8
(g9
g10
NtRp81493
(dp81494
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p81495
sbg8
(g9
g10
NtRp81496
(dp81497
g13
Nsg14
Nsg15
Vvector
p81498
sbg8
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g10
NtRp81499
(dp81500
g13
Nsg14
Nsg15
VSHP
p81501
sbNg8
(g9
g10
NtRp81502
(dp81503
g13
Nsg14
Nsg15
V1:10000000
p81504
sbNg8
(g9
g10
NtRp81505
(dp81506
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p81507
sbg8
(g9
g10
NtRp81508
(dp81509
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f9a053-2319-4af5-89f7-660b014593ba
p81510
sbg8
(g9
g10
NtRp81511
(dp81512
g13
Nsg14
g74
sg15
V1940
p81513
sbg8
(g9
g10
NtRp81514
(dp81515
g13
Nsg14
g74
sg15
V2011
p81516
sbg8
(g9
g10
NtRp81517
(dp81518
g13
Nsg14
Nsg15
VTRUE
p81519
sbg8
(g9
g10
NtRp81520
(dp81521
g13
Nsg14
Nsg15
VEurope
p81522
sbg8
(g9
g10
NtRp81523
(dp81524
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81525
sbg8
(g9
g10
NtRp81526
(dp81527
g13
Nsg14
Nsg15
VFALSE
p81528
sbg8
(g9
g10
NtRp81529
(dp81530
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81531
sbg8
(g9
g10
NtRp81532
(dp81533
g13
Nsg14
Nsg15
VFALSE
p81534
sbNNNNNNNg8
(g9
g10
NtRp81535
(dp81536
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81537
(dp81538
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81539
(dp81540
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b2-5_1940-2011_rev01
p81541
sbNNtp81542
a(g8
(g9
g10
NtRp81543
(dp81544
g13
Nsg14
Nsg15
V2d859847-31e4-46a6-bc7f-7312e50dce88
p81545
sbNg8
(g9
g10
NtRp81546
(dp81547
g13
Nsg14
Nsg15
VEUNIS habitat type B2.5, predicted habitat suitability - version 1, June 2016
p81548
sbNNNNNg8
(g9
g10
NtRp81549
(dp81550
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\u000a			Remarks: Inland prediction should be ignored. Hardly any prediction in large parts of the potential area.\u000a          \u000a          Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.
p81551
sbg8
(g23
g10
NtRp81552
(dp81553
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81554
sbNg8
(g9
g10
NtRp81555
(dp81556
g13
Nsg14
Nsg15
VFALSE
p81557
sbNNNg8
(g9
g10
NtRp81558
(dp81559
g13
Nsg14
Nsg15
VFALSE
p81560
sbNNg8
(g9
g10
NtRp81561
(dp81562
g13
Nsg14
Nsg15
VFALSE
p81563
sbNNg8
(g9
g10
NtRp81564
(dp81565
g13
Nsg14
Nsg15
VFALSE
p81566
sbNg8
(g9
g10
NtRp81567
(dp81568
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_random_bg_ed1.png
p81569
sbg8
(g9
g10
NtRp81570
(dp81571
g13
Nsg14
Nsg15
VEPSG:3035
p81572
sbg8
(g9
g10
NtRp81573
(dp81574
g13
Nsg14
Nsg15
V2019-06-04
p81575
sbNg8
(g9
g10
NtRp81576
(dp81577
g13
Nsg14
Nsg15
VHabitats and biotopes
p81578
sbg8
(g9
g10
NtRp81579
(dp81580
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p81581
sbg8
(g9
g10
NtRp81582
(dp81583
g13
Nsg14
Nsg15
Vgrid
p81584
sbg8
(g9
g10
NtRp81585
(dp81586
g13
Nsg14
Nsg15
VGTiff
p81587
sbNg8
(g9
g10
NtRp81588
(dp81589
g13
Nsg14
Nsg15
V1000m
p81590
sbNg8
(g9
g10
NtRp81591
(dp81592
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 59\u000aRegularized training gain: 3.5846\u000aUnregularized training gain: 3.8402\u000aIterations: 500\u000aTraining AUC: 0.9905\u000a#Test samples: 6\u000aTest gain: 3.8198\u000aTest AUC: 0.9929\u000aAUC Standard Deviation: 0.0027\u000a#Background points: 5059\u000abio_12_etrs2_ras contribution: 0\u000abio_15_etrs2_ras contribution: 4.0617\u000abio_18_etrs2_ras contribution: 0.1644\u000abio_4_etrs2_ras contribution: 34.3603\u000abio_8_etrs2_ras contribution: 0.47\u000abld_m_sd1_1km_eu_ll contribution: 5.0144\u000acecsum_m_sd1_1km_eu_ll contribution: 0.7953\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.7418\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.8194\u000adist2water1km contribution: 5.4668\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.0484\u000apet_he_yr contribution: 9.6488\u000aphihox_m_sd1_1km_eu_ll contribution: 2.2699\u000asltppt_m_sd1_1km_eu_ll contribution: 29.8844\u000asndppt_m_sd1_1km_eu_ll contribution: 5.8407\u000asolar_1km contribution: 0.4136\u000abio_12_etrs2_ras permutation importance: 0\u000abio_15_etrs2_ras permutation importance: 4.0006\u000abio_18_etrs2_ras permutation importance: 0.0167\u000abio_4_etrs2_ras permutation importance: 63.0853\u000abio_8_etrs2_ras permutation importance: 0.121\u000abld_m_sd1_1km_eu_ll permutation importance: 1.1326\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.3588\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.8614\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.8281\u000adist2water1km permutation importance: 0.194\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.0292\u000apet_he_yr permutation importance: 1.3996\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.098\u000asltppt_m_sd1_1km_eu_ll permutation importance: 23.1442\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 4.7306\u000aEntropy: 4.9448\u000aPrevalence (average of logistic output over background sites): 0.0127\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0041\u000aFixed cumulative value 1 area: 0.1279\u000aFixed cumulative value 1 training omission: 0.0169\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 4.38E-06\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0404\u000aFixed cumulative value 5 area: 0.0466\u000aFixed cumulative value 5 training omission: 0.0339\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.03E-08\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1047\u000aFixed cumulative value 10 area: 0.0273\u000aFixed cumulative value 10 training omission: 0.0508\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 4.12E-10\u000aMinimum training presence cumulative threshold: 0.9716\u000aMinimum training presence logistic threshold: 0.0039\u000aMinimum training presence area: 0.1297\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.75E-06\u000a10 percentile training presence cumulative threshold: 20.4413\u000a10 percentile training presence logistic threshold: 0.2916\u000a10 percentile training presence area: 0.013\u000a10 percentile training presence training omission: 0.0847\u000a10 percentile training presence test omission: 0.1667\u000a10 percentile training presence binomial probability: 2.24E-09\u000aEqual training sensitivity and specificity cumulative threshold: 5.6343\u000aEqual training sensitivity and specificity logistic threshold: 0.0461\u000aEqual training sensitivity and specificity area: 0.0429\u000aEqual training sensitivity and specificity training omission: 0.0508\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 6.23E-09\u000aMaximum training sensitivity plus specificity cumulative threshold: 4.932\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0394\u000aMaximum training sensitivity plus specificity area: 0.047\u000aMaximum training sensitivity plus specificity training omission: 0.0169\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 1.08E-08\u000aEqual test sensitivity and specificity cumulative threshold: 14.7808\u000aEqual test sensitivity and specificity logistic threshold: 0.1683\u000aEqual test sensitivity and specificity area: 0.0188\u000aEqual test sensitivity and specificity training omission: 0.0678\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 4.39E-11\u000aMaximum test sensitivity plus specificity cumulative threshold: 14.7808\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1683\u000aMaximum test sensitivity plus specificity area: 0.0188\u000aMaximum test sensitivity plus specificity training omission: 0.0678\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 4.39E-11\u000aBalance training omission, predicted area and threshold value cumulative threshold: 0.9716\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0039\u000aBalance training omission, predicted area and threshold value area: 0.1297\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 4.75E-06\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.882\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1032\u000aEquate entropy of thresholded and original distributions area: 0.0277\u000aEquate entropy of thresholded and original distributions training omission: 0.0508\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 4.49E-10
p81593
sbg8
(g9
g10
NtRp81594
(dp81595
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d859847-31e4-46a6-bc7f-7312e50dce88
p81596
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g10
NtRp81597
(dp81598
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Nsg14
g74
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V1940
p81599
sbg8
(g9
g10
NtRp81600
(dp81601
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Nsg14
g74
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V2011
p81602
sbg8
(g9
g10
NtRp81603
(dp81604
g13
Nsg14
Nsg15
VTRUE
p81605
sbg8
(g9
g10
NtRp81606
(dp81607
g13
Nsg14
Nsg15
VEurope
p81608
sbg8
(g9
g10
NtRp81609
(dp81610
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81611
sbg8
(g9
g10
NtRp81612
(dp81613
g13
Nsg14
Nsg15
VFALSE
p81614
sbg8
(g9
g10
NtRp81615
(dp81616
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81617
sbg8
(g9
g10
NtRp81618
(dp81619
g13
Nsg14
Nsg15
VFALSE
p81620
sbNNNNNNNg8
(g9
g10
NtRp81621
(dp81622
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81623
(dp81624
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81625
(dp81626
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b2-5_1940-2011_rev01
p81627
sbNNtp81628
a(g8
(g9
g10
NtRp81629
(dp81630
g13
Nsg14
Nsg15
Vd851c7ee-ff22-4154-89e1-8fd0692b6ec9
p81631
sbNg8
(g9
g10
NtRp81632
(dp81633
g13
Nsg14
Nsg15
VEUNIS habitat type G1.7, predicted distribution of habitat suitability - version 1, Jan. 2015
p81634
sbNNNNNg8
(g9
g10
NtRp81635
(dp81636
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p81637
sbg8
(g23
g10
NtRp81638
(dp81639
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81640
sbNg8
(g9
g10
NtRp81641
(dp81642
g13
Nsg14
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 3240\u000aRegularized training gain: 0.4481\u000aUnregularized training gain: 0.4984\u000aIterations: 500\u000aTraining AUC: 0.7726\u000a#Test samples: 359\u000aTest gain: 0.4841\u000aTest AUC: 0.768\u000aAUC Standard Deviation: 0.0102\u000a#Background points: 12880\u000abio_12_etrs2_ras contribution: 1.5267\u000abio_15_etrs2_ras contribution: 2.2401\u000abio_18_etrs2_ras contribution: 10.3186\u000abio_4_etrs2_ras contribution: 3.8745\u000abio_8_etrs2_ras contribution: 3.3564\u000adist2water1km contribution: 0.4704\u000apet_he_yr contribution: 75.8512\u000asoil_ph contribution: 1.5313\u000asolar_1km contribution: 0.8308\u000abio_12_etrs2_ras permutation importance: 8.5471\u000abio_15_etrs2_ras permutation importance: 1.7433\u000abio_18_etrs2_ras permutation importance: 28.5836\u000abio_4_etrs2_ras permutation importance: 10.1037\u000abio_8_etrs2_ras permutation importance: 4.8831\u000adist2water1km permutation importance: 0.4372\u000apet_he_yr permutation importance: 43.5838\u000asoil_ph permutation importance: 0.8323\u000asolar_1km permutation importance: 1.2859\u000aTraining gain without bio_12_etrs2_ras: 0.4383\u000aTraining gain without bio_15_etrs2_ras: 0.4451\u000aTraining gain without bio_18_etrs2_ras: 0.4144\u000aTraining gain without bio_4_etrs2_ras: 0.4235\u000aTraining gain without bio_8_etrs2_ras: 0.4339\u000aTraining gain without dist2water1km: 0.4462\u000aTraining gain without pet_he_yr: 0.363\u000aTraining gain without soil_ph: 0.4451\u000aTraining gain without solar_1km: 0.4452\u000aTraining gain with only bio_12_etrs2_ras: 0.054\u000aTraining gain with only bio_15_etrs2_ras: 0.0377\u000aTraining gain with only bio_18_etrs2_ras: 0.1409\u000aTraining gain with only bio_4_etrs2_ras: 0.0639\u000aTraining gain with only bio_8_etrs2_ras: 0.1118\u000aTraining gain with only dist2water1km: 0.0006\u000aTraining gain with only pet_he_yr: 0.353\u000aTraining gain with only soil_ph: 0.0741\u000aTraining gain with only solar_1km: 0.0312\u000aTest gain without bio_12_etrs2_ras: 0.4823\u000aTest gain without bio_15_etrs2_ras: 0.4763\u000aTest gain without bio_18_etrs2_ras: 0.4537\u000aTest gain without bio_4_etrs2_ras: 0.4441\u000aTest gain without bio_8_etrs2_ras: 0.4509\u000aTest gain without dist2water1km: 0.4962\u000aTest gain without pet_he_yr: 0.4262\u000aTest gain without soil_ph: 0.4849\u000aTest gain without solar_1km: 0.4809\u000aTest gain with only bio_12_etrs2_ras: 0.0608\u000aTest gain with only bio_15_etrs2_ras: 0.0719\u000aTest gain with only bio_18_etrs2_ras: 0.1346\u000aTest gain with only bio_4_etrs2_ras: 0.1006\u000aTest gain with only bio_8_etrs2_ras: 0.1714\u000aTest gain with only dist2water1km: -0.0053\u000aTest gain with only pet_he_yr: 0.3424\u000aTest gain with only soil_ph: 0.0689\u000aTest gain with only solar_1km: 0.0537\u000aAUC without bio_12_etrs2_ras: 0.7676\u000aAUC without bio_15_etrs2_ras: 0.7657\u000aAUC without bio_18_etrs2_ras: 0.7586\u000aAUC without bio_4_etrs2_ras: 0.7555\u000aAUC without bio_8_etrs2_ras: 0.7583\u000aAUC without dist2water1km: 0.772\u000aAUC without pet_he_yr: 0.761\u000aAUC without soil_ph: 0.7676\u000aAUC without solar_1km: 0.7669\u000aAUC with only bio_12_etrs2_ras: 0.6014\u000aAUC with only bio_15_etrs2_ras: 0.6148\u000aAUC with only bio_18_etrs2_ras: 0.6444\u000aAUC with only bio_4_etrs2_ras: 0.6265\u000aAUC with only bio_8_etrs2_ras: 0.6681\u000aAUC with only dist2water1km: 0.4735\u000aAUC with only pet_he_yr: 0.7178\u000aAUC with only soil_ph: 0.5955\u000aAUC with only solar_1km: 0.567\u000aEntropy: 9.018\u000aPrevalence (average of logistic output over background sites): 0.3156\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0917\u000aFixed cumulative value 1 area: 0.8307\u000aFixed cumulative value 1 training omission: 0.0068\u000aFixed cumulative value 1 test omission: 0.0056\u000aFixed cumulative value 1 binomial probability: 6.52E-17\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1767\u000aFixed cumulative value 5 area: 0.6585\u000aFixed cumulative value 5 training omission: 0.0306\u000aFixed cumulative value 5 test omission: 0.0418\u000aFixed cumulative value 5 binomial probability: 2.43E-33\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2631\u000aFixed cumulative value 10 area: 0.5446\u000aFixed cumulative value 10 training omission: 0.0762\u000aFixed cumulative value 10 test omission: 0.0752\u000aFixed cumulative value 10 binomial probability: 1.03E-47\u000aMinimum training presence cumulative threshold: 0.0149\u000aMinimum training presence logistic threshold: 0.009\u000aMinimum training presence area: 0.9853\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.04E-02\u000a10 percentile training presence cumulative threshold: 12.6212\u000a10 percentile training presence logistic threshold: 0.2971\u000a10 percentile training presence area: 0.5013\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.0891\u000a10 percentile training presence binomial probability: 1.28E-54\u000aEqual training sensitivity and specificity cumulative threshold: 33.1923\u000aEqual training sensitivity and specificity logistic threshold: 0.4654\u000aEqual training sensitivity and specificity area: 0.2958\u000aEqual training sensitivity and specificity training omission: 0.2957\u000aEqual training sensitivity and specificity test omission: 0.3092\u000aEqual training sensitivity and specificity binomial probability: 9.86E-61\u000aMaximum training sensitivity plus specificity cumulative threshold: 24.8998\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4201\u000aMaximum training sensitivity plus specificity area: 0.3624\u000aMaximum training sensitivity plus specificity training omission: 0.2157\u000aMaximum training sensitivity plus specificity test omission: 0.2284\u000aMaximum training sensitivity plus specificity binomial probability: 8.15E-59\u000aEqual test sensitivity and specificity cumulative threshold: 32.1479\u000aEqual test sensitivity and specificity logistic threshold: 0.4603\u000aEqual test sensitivity and specificity area: 0.3036\u000aEqual test sensitivity and specificity training omission: 0.2861\u000aEqual test sensitivity and specificity test omission: 0.3036\u000aEqual test sensitivity and specificity binomial probability: 3.36E-59\u000aMaximum test sensitivity plus specificity cumulative threshold: 16.053\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3371\u000aMaximum test sensitivity plus specificity area: 0.454\u000aMaximum test sensitivity plus specificity training omission: 0.1346\u000aMaximum test sensitivity plus specificity test omission: 0.1226\u000aMaximum test sensitivity plus specificity binomial probability: 9.85E-59\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.721\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1279\u000aBalance training omission, predicted area and threshold value area: 0.7409\u000aBalance training omission, predicted area and threshold value training omission: 0.012\u000aBalance training omission, predicted area and threshold value test omission: 0.0223\u000aBalance training omission, predicted area and threshold value binomial probability: 6.52E-25\u000aEquate entropy of thresholded and original distributions cumulative threshold: 5.6288\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1888\u000aEquate entropy of thresholded and original distributions area: 0.6405\u000aEquate entropy of thresholded and original distributions training omission: 0.034\u000aEquate entropy of thresholded and original distributions test omission: 0.0474\u000aEquate entropy of thresholded and original distributions binomial probability: 3.35E-35
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 14\u000aRegularized training gain: 3.6938\u000aUnregularized training gain: 4.2035\u000aIterations: 220\u000aTraining AUC: 0.9931\u000a#Test samples: 1\u000aTest gain: 1.8738\u000aTest AUC: 0.9766\u000aAUC Standard Deviation: -1\u000a#Background points: 5010\u000abio_12_etrs2_ras contribution: 5.8502\u000abio_15_etrs2_ras contribution: 20.7746\u000abio_18_etrs2_ras contribution: 50.9292\u000abio_4_etrs2_ras contribution: 7.3093\u000abio_8_etrs2_ras contribution: 0\u000abld_m_sd1_1km_eu_ll contribution: 0.0243\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0036\u000aclyppt_m_sd1_1km_eu_ll contribution: 2.1209\u000acrfvol_m_sd1_1km_eu_ll contribution: 0\u000adist2water1km contribution: 0.5286\u000aeu_mask_1km contribution: 0\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.1832\u000apet_he_yr contribution: 0.5715\u000aphihox_m_sd1_1km_eu_ll contribution: 8.6147\u000asltppt_m_sd1_1km_eu_ll contribution: 0.5677\u000asndppt_m_sd1_1km_eu_ll contribution: 0\u000asolar_1km contribution: 2.5222\u000abio_12_etrs2_ras permutation importance: 0\u000abio_15_etrs2_ras permutation importance: 0.3316\u000abio_18_etrs2_ras permutation importance: 93.5178\u000abio_4_etrs2_ras permutation importance: 0.7683\u000abio_8_etrs2_ras permutation importance: 0\u000abld_m_sd1_1km_eu_ll permutation importance: 0\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.0415\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.7738\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0\u000adist2water1km permutation importance: 0.1658\u000aeu_mask_1km permutation importance: 0\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.0843\u000apet_he_yr permutation importance: 0.0636\u000aphihox_m_sd1_1km_eu_ll permutation importance: 1.368\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 2.8853\u000aTraining gain without bio_12_etrs2_ras: 3.6789\u000aTraining gain without bio_15_etrs2_ras: 3.661\u000aTraining gain without bio_18_etrs2_ras: 3.2293\u000aTraining gain without bio_4_etrs2_ras: 3.648\u000aTraining gain without bio_8_etrs2_ras: 3.6938\u000aTraining gain without bld_m_sd1_1km_eu_ll: 3.6888\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 3.6934\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 3.6365\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 3.6938\u000aTraining gain without dist2water1km: 3.6633\u000aTraining gain without eu_mask_1km: 3.6938\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 3.6898\u000aTraining gain without pet_he_yr: 3.6882\u000aTraining gain without phihox_m_sd1_1km_eu_ll: 3.4709\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 3.6833\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 3.6938\u000aTraining gain without solar_1km: 3.6186\u000aTraining gain with only bio_12_etrs2_ras: 1.058\u000aTraining gain with only bio_15_etrs2_ras: 1.8027\u000aTraining gain with only bio_18_etrs2_ras: 2.5913\u000aTraining gain with only bio_4_etrs2_ras: 0.3171\u000aTraining gain with only bio_8_etrs2_ras: 0.1227\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 1.2031\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.0889\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 1.0172\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.0007\u000aTraining gain with only dist2water1km: 0.0921\u000aTraining gain with only eu_mask_1km: 0\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1227\u000aTraining gain with only pet_he_yr: 0.6382\u000aTraining gain with only phihox_m_sd1_1km_eu_ll: 0.4811\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.0672\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.1149\u000aTraining gain with only solar_1km: 0.3461\u000aTest gain without bio_12_etrs2_ras: 1.9413\u000aTest gain without bio_15_etrs2_ras: 1.7474\u000aTest gain without bio_18_etrs2_ras: 1.1414\u000aTest gain without bio_4_etrs2_ras: 1.3894\u000aTest gain without bio_8_etrs2_ras: 1.8735\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.991\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.9039\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.9696\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.8735\u000aTest gain without dist2water1km: 1.872\u000aTest gain without eu_mask_1km: 1.8735\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.8402\u000aTest gain without pet_he_yr: 2.0078\u000aTest gain without phihox_m_sd1_1km_eu_ll: 2.7097\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.7338\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.8725\u000aTest gain without solar_1km: 2.2785\u000aTest gain with only bio_12_etrs2_ras: 0.1133\u000aTest gain with only bio_15_etrs2_ras: 1.6881\u000aTest gain with only bio_18_etrs2_ras: 1.8544\u000aTest gain with only bio_4_etrs2_ras: 0.5554\u000aTest gain with only bio_8_etrs2_ras: 0.2771\u000aTest gain with only bld_m_sd1_1km_eu_ll: -0.0124\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.0557\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 1.1395\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: -0.0124\u000aTest gain with only dist2water1km: 0.675\u000aTest gain with only eu_mask_1km: 0\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: -0.0074\u000aTest gain with only pet_he_yr: 0.5352\u000aTest gain with only phihox_m_sd1_1km_eu_ll: 0.8038\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.1664\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.1828\u000aTest gain with only solar_1km: -0.2806\u000aAUC without bio_12_etrs2_ras: 0.9772\u000aAUC without bio_15_etrs2_ras: 0.9741\u000aAUC without bio_18_etrs2_ras: 0.9679\u000aAUC without bio_4_etrs2_ras: 0.9621\u000aAUC without bio_8_etrs2_ras: 0.9766\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9778\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9768\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9778\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9766\u000aAUC without dist2water1km: 0.9769\u000aAUC without eu_mask_1km: 0.9766\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9741\u000aAUC without pet_he_yr: 0.9788\u000aAUC without phihox_m_sd1_1km_eu_ll: 0.9844\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9727\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9766\u000aAUC without solar_1km: 0.9822\u000aAUC with only bio_12_etrs2_ras: 0.7729\u000aAUC with only bio_15_etrs2_ras: 0.9474\u000aAUC with only bio_18_etrs2_ras: 0.9497\u000aAUC with only bio_4_etrs2_ras: 0.8575\u000aAUC with only bio_8_etrs2_ras: 0.6626\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.7924\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.4261\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.9233\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.3696\u000aAUC with only dist2water1km: 0.9635\u000aAUC with only eu_mask_1km: 0.5\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.4873\u000aAUC with only pet_he_yr: 0.8378\u000aAUC with only phihox_m_sd1_1km_eu_ll: 0.8917\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7119\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.6198\u000aAUC with only solar_1km: 0.3889\u000aEntropy: 4.8254\u000aPrevalence (average of logistic output over background sites): 0.0118\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0068\u000aFixed cumulative value 1 area: 0.098\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 9.80E-02\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0464\u000aFixed cumulative value 5 area: 0.0509\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 5.09E-02\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0931\u000aFixed cumulative value 10 area: 0.0337\u000aFixed cumulative value 10 training omission: 0.0714\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 3.37E-02\u000aMinimum training presence cumulative threshold: 7.0042\u000aMinimum training presence logistic threshold: 0.0656\u000aMinimum training presence area: 0.0427\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 4.27E-02\u000a10 percentile training presence cumulative threshold: 14.7004\u000a10 percentile training presence logistic threshold: 0.1342\u000a10 percentile training presence area: 0.0248\u000a10 percentile training presence training omission: 0.0714\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 2.48E-02\u000aEqual training sensitivity and specificity cumulative threshold: 7.0042\u000aEqual training sensitivity and specificity logistic threshold: 0.0656\u000aEqual training sensitivity and specificity area: 0.0427\u000aEqual training sensitivity and specificity training omission: 0.0714\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 4.27E-02\u000aMaximum training sensitivity plus specificity cumulative threshold: 7.0042\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0656\u000aMaximum training sensitivity plus specificity area: 0.0427\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 4.27E-02\u000aEqual test sensitivity and specificity cumulative threshold: 15.5883\u000aEqual test sensitivity and specificity logistic threshold: 0.1394\u000aEqual test sensitivity and specificity area: 0.0234\u000aEqual test sensitivity and specificity training omission: 0.1429\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 2.33E-02\u000aMaximum test sensitivity plus specificity cumulative threshold: 15.5883\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1394\u000aMaximum test sensitivity plus specificity area: 0.0234\u000aMaximum test sensitivity plus specificity training omission: 0.1429\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 2.33E-02\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.3323\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0098\u000aBalance training omission, predicted area and threshold value area: 0.088\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 8.80E-02\u000aEquate entropy of thresholded and original distributions cumulative threshold: 14.7004\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1342\u000aEquate entropy of thresholded and original distributions area: 0.0248\u000aEquate entropy of thresholded and original distributions training omission: 0.0714\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 2.48E-02
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5fa4a23-d1b0-4150-92f6-58c84f9f5559
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V1940
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81783
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VFALSE
p81786
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p81792
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Veea_r_3035_1_km_eunis-hab-f7-1_1940-2011_rev01
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VEUNIS habitat type G2.4, predicted distribution of habitat suitability - version 1, Jan. 2015
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_random_bg_ed1.png
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VEPSG:3035
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V2019-06-04
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VHabitats and biotopes
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Vforest|natural area|terrestrial ecosystem
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Vgrid
p81842
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VAAIGrid
p81845
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 98\u000aRegularized training gain: 3.0799\u000aUnregularized training gain: 3.3303\u000aIterations: 500\u000aTraining AUC: 0.9854\u000a#Test samples: 10\u000aTest gain: 2.9695\u000aTest AUC: 0.983\u000aAUC Standard Deviation: 0.0055\u000a#Background points: 10097\u000abio_12_etrs2_ras contribution: 0.1689\u000abio_15_etrs2_ras contribution: 13.7568\u000abio_18_etrs2_ras contribution: 29.1226\u000abio_4_etrs2_ras contribution: 38.9364\u000abio_8_etrs2_ras contribution: 8.5614\u000adist2water1km contribution: 3.2349\u000apet_he_yr contribution: 3.6343\u000asoil_ph contribution: 0.2087\u000asolar_1km contribution: 2.3759\u000abio_12_etrs2_ras permutation importance: 0.3127\u000abio_15_etrs2_ras permutation importance: 13.2136\u000abio_18_etrs2_ras permutation importance: 8.3879\u000abio_4_etrs2_ras permutation importance: 60.0375\u000abio_8_etrs2_ras permutation importance: 9.6078\u000adist2water1km permutation importance: 1.9706\u000apet_he_yr permutation importance: 1.3053\u000asoil_ph permutation importance: 0.9391\u000asolar_1km permutation importance: 4.2256\u000aEntropy: 6.1717\u000aPrevalence (average of logistic output over background sites): 0.0219\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0026\u000aFixed cumulative value 1 area: 0.3102\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 8.25E-06\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0308\u000aFixed cumulative value 5 area: 0.0848\u000aFixed cumulative value 5 training omission: 0.0204\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.92E-11\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1109\u000aFixed cumulative value 10 area: 0.0466\u000aFixed cumulative value 10 training omission: 0.0918\u000aFixed cumulative value 10 test omission: 0.1\u000aFixed cumulative value 10 binomial probability: 1.00E-11\u000aMinimum training presence cumulative threshold: 1.8782\u000aMinimum training presence logistic threshold: 0.0055\u000aMinimum training presence area: 0.1992\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 9.82E-08\u000a10 percentile training presence cumulative threshold: 13.8101\u000a10 percentile training presence logistic threshold: 0.1731\u000a10 percentile training presence area: 0.0356\u000a10 percentile training presence training omission: 0.0918\u000a10 percentile training presence test omission: 0.1\u000a10 percentile training presence binomial probability: 8.79E-13\u000aEqual training sensitivity and specificity cumulative threshold: 7.2719\u000aEqual training sensitivity and specificity logistic threshold: 0.0595\u000aEqual training sensitivity and specificity area: 0.0612\u000aEqual training sensitivity and specificity training omission: 0.0612\u000aEqual training sensitivity and specificity test omission: 0.1\u000aEqual training sensitivity and specificity binomial probability: 1.14E-10\u000aMaximum training sensitivity plus specificity cumulative threshold: 5.802\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0407\u000aMaximum training sensitivity plus specificity area: 0.0745\u000aMaximum training sensitivity plus specificity training omission: 0.0204\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 5.25E-12\u000aEqual test sensitivity and specificity cumulative threshold: 6.7574\u000aEqual test sensitivity and specificity logistic threshold: 0.0542\u000aEqual test sensitivity and specificity area: 0.0653\u000aEqual test sensitivity and specificity training omission: 0.051\u000aEqual test sensitivity and specificity test omission: 0.1\u000aEqual test sensitivity and specificity binomial probability: 2.02E-10\u000aMaximum test sensitivity plus specificity cumulative threshold: 6.748\u000aMaximum test sensitivity plus specificity logistic threshold: 0.054\u000aMaximum test sensitivity plus specificity area: 0.0653\u000aMaximum test sensitivity plus specificity training omission: 0.051\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 1.40E-12\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.8774\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0186\u000aBalance training omission, predicted area and threshold value area: 0.1066\u000aBalance training omission, predicted area and threshold value training omission: 0.0102\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 1.89E-10\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.825\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.108\u000aEquate entropy of thresholded and original distributions area: 0.0473\u000aEquate entropy of thresholded and original distributions training omission: 0.0918\u000aEquate entropy of thresholded and original distributions test omission: 0.1\u000aEquate entropy of thresholded and original distributions binomial probability: 1.14E-11
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e88b51-796e-44ea-809a-73d89c301e86
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V1940
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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Veea_r_3035_1_km_eunis-hab-g2-4_1940-2011_rev01
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V09b8a657-1da9-49b9-919c-910d7b114573
p81889
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VEUNIS habitat type G1.1 distribution based on vegetation plot data - version 1, Jan. 2015
p81892
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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p81904
sbNNg8
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g10
NtRp81905
(dp81906
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Nsg14
Nsg15
VFALSE
p81907
sbNNg8
(g9
g10
NtRp81908
(dp81909
g13
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Nsg15
VFALSE
p81910
sbNg8
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g10
NtRp81911
(dp81912
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_dist_edt1.png
p81913
sbg8
(g9
g10
NtRp81914
(dp81915
g13
Nsg14
Nsg15
VEPSG:3035
p81916
sbg8
(g9
g10
NtRp81917
(dp81918
g13
Nsg14
Nsg15
V2019-06-04
p81919
sbNg8
(g9
g10
NtRp81920
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Nsg14
Nsg15
VHabitats and biotopes
p81922
sbg8
(g9
g10
NtRp81923
(dp81924
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p81925
sbg8
(g9
g10
NtRp81926
(dp81927
g13
Nsg14
Nsg15
Vvector
p81928
sbg8
(g9
g10
NtRp81929
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g13
Nsg14
Nsg15
VSHP
p81931
sbNg8
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g10
NtRp81932
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Nsg14
Nsg15
V1:10000000
p81934
sbNg8
(g9
g10
NtRp81935
(dp81936
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p81937
sbg8
(g9
g10
NtRp81938
(dp81939
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09b8a657-1da9-49b9-919c-910d7b114573
p81940
sbg8
(g9
g10
NtRp81941
(dp81942
g13
Nsg14
g74
sg15
V1940
p81943
sbg8
(g9
g10
NtRp81944
(dp81945
g13
Nsg14
g74
sg15
V2011
p81946
sbg8
(g9
g10
NtRp81947
(dp81948
g13
Nsg14
Nsg15
VTRUE
p81949
sbg8
(g9
g10
NtRp81950
(dp81951
g13
Nsg14
Nsg15
VEurope
p81952
sbg8
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g10
NtRp81953
(dp81954
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p81955
sbg8
(g9
g10
NtRp81956
(dp81957
g13
Nsg14
Nsg15
VFALSE
p81958
sbg8
(g9
g10
NtRp81959
(dp81960
g13
Nsg14
Nsg15
VEuropean Environment Agency
p81961
sbg8
(g9
g10
NtRp81962
(dp81963
g13
Nsg14
Nsg15
VFALSE
p81964
sbNNNNNNNg8
(g9
g10
NtRp81965
(dp81966
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp81967
(dp81968
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp81969
(dp81970
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-1_1940-2011_rev01
p81971
sbNNtp81972
a(g8
(g9
g10
NtRp81973
(dp81974
g13
Nsg14
Nsg15
V62021d4b-5632-4355-b801-7a03785ff7a7
p81975
sbNg8
(g9
g10
NtRp81976
(dp81977
g13
Nsg14
Nsg15
VEUNIS habitat type B1.5a, predicted habitat suitability - version 1, June 2016
p81978
sbNNNNNg8
(g9
g10
NtRp81979
(dp81980
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\u000a			Remarks: Inland prediction should be ignored. Hardly any prediction in the Baltic region.\u000a          \u000a          Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this;  1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observation data in large parts of the potential area.
p81981
sbg8
(g23
g10
NtRp81982
(dp81983
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p81984
sbNg8
(g9
g10
NtRp81985
(dp81986
g13
Nsg14
Nsg15
VFALSE
p81987
sbNNNg8
(g9
g10
NtRp81988
(dp81989
g13
Nsg14
Nsg15
VFALSE
p81990
sbNNg8
(g9
g10
NtRp81991
(dp81992
g13
Nsg14
Nsg15
VFALSE
p81993
sbNNg8
(g9
g10
NtRp81994
(dp81995
g13
Nsg14
Nsg15
VFALSE
p81996
sbNg8
(g9
g10
NtRp81997
(dp81998
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5a_random_bg_ed1.png
p81999
sbg8
(g9
g10
NtRp82000
(dp82001
g13
Nsg14
Nsg15
VEPSG:3035
p82002
sbg8
(g9
g10
NtRp82003
(dp82004
g13
Nsg14
Nsg15
V2019-06-04
p82005
sbNg8
(g9
g10
NtRp82006
(dp82007
g13
Nsg14
Nsg15
VHabitats and biotopes
p82008
sbg8
(g9
g10
NtRp82009
(dp82010
g13
Nsg14
Nsg15
Vcoastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra
p82011
sbg8
(g9
g10
NtRp82012
(dp82013
g13
Nsg14
Nsg15
Vgrid
p82014
sbg8
(g9
g10
NtRp82015
(dp82016
g13
Nsg14
Nsg15
VGTiff
p82017
sbNg8
(g9
g10
NtRp82018
(dp82019
g13
Nsg14
Nsg15
V1000m
p82020
sbNg8
(g9
g10
NtRp82021
(dp82022
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 17\u000aRegularized training gain: 5.1816\u000aUnregularized training gain: 5.467\u000aIterations: 500\u000aTraining AUC: 0.9983\u000a#Test samples: 1\u000aTest gain: 5.5287\u000aTest AUC: 0.9978\u000aAUC Standard Deviation: -1\u000a#Background points: 5017\u000abio_12_etrs2_ras contribution: 0.0401\u000abio_15_etrs2_ras contribution: 0\u000abio_18_etrs2_ras contribution: 9.181\u000abio_4_etrs2_ras contribution: 16.8567\u000abio_8_etrs2_ras contribution: 0.9176\u000abld_m_sd1_1km_eu_ll contribution: 0\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0174\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.4169\u000acrfvol_m_sd1_1km_eu_ll contribution: 1.8697\u000adist2water1km contribution: 65.2878\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.1019\u000apet_he_yr contribution: 1.6373\u000aphihox_m_sd1_1km_eu_ll contribution: 0\u000asltppt_m_sd1_1km_eu_ll contribution: 3.1799\u000asndppt_m_sd1_1km_eu_ll contribution: 0.4938\u000asolar_1km contribution: 0\u000abio_12_etrs2_ras permutation importance: 0.0154\u000abio_15_etrs2_ras permutation importance: 0\u000abio_18_etrs2_ras permutation importance: 0\u000abio_4_etrs2_ras permutation importance: 30.0307\u000abio_8_etrs2_ras permutation importance: 15.1268\u000abld_m_sd1_1km_eu_ll permutation importance: 0\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.269\u000adist2water1km permutation importance: 4.8194\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0\u000apet_he_yr permutation importance: 49.7387\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0\u000asolar_1km permutation importance: 0\u000aEntropy: 3.3393\u000aPrevalence (average of logistic output over background sites): 0.0025\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0012\u000aFixed cumulative value 1 area: 0.0504\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 5.04E-02\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0215\u000aFixed cumulative value 5 area: 0.0078\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 7.77E-03\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2141\u000aFixed cumulative value 10 area: 0.0036\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 3.59E-03\u000aMinimum training presence cumulative threshold: 13.0668\u000aMinimum training presence logistic threshold: 0.4045\u000aMinimum training presence area: 0.0034\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 3.39E-03\u000a10 percentile training presence cumulative threshold: 15.4948\u000a10 percentile training presence logistic threshold: 0.4064\u000a10 percentile training presence area: 0.003\u000a10 percentile training presence training omission: 0.0588\u000a10 percentile training presence test omission: 0\u000a10 percentile training presence binomial probability: 2.99E-03\u000aEqual training sensitivity and specificity cumulative threshold: 13.0668\u000aEqual training sensitivity and specificity logistic threshold: 0.4045\u000aEqual training sensitivity and specificity area: 0.0034\u000aEqual training sensitivity and specificity training omission: 0\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 3.39E-03\u000aMaximum training sensitivity plus specificity cumulative threshold: 13.0668\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4045\u000aMaximum training sensitivity plus specificity area: 0.0034\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 3.39E-03\u000aEqual test sensitivity and specificity cumulative threshold: 32.5105\u000aEqual test sensitivity and specificity logistic threshold: 0.586\u000aEqual test sensitivity and specificity area: 0.0022\u000aEqual test sensitivity and specificity training omission: 0.3529\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 2.19E-03\u000aMaximum test sensitivity plus specificity cumulative threshold: 32.5105\u000aMaximum test sensitivity plus specificity logistic threshold: 0.586\u000aMaximum test sensitivity plus specificity area: 0.0022\u000aMaximum test sensitivity plus specificity training omission: 0.3529\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 2.19E-03\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.4391\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0022\u000aBalance training omission, predicted area and threshold value area: 0.0355\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 3.55E-02\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.197\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0376\u000aEquate entropy of thresholded and original distributions area: 0.0056\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 5.58E-03
p82023
sbg8
(g9
g10
NtRp82024
(dp82025
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62021d4b-5632-4355-b801-7a03785ff7a7
p82026
sbg8
(g9
g10
NtRp82027
(dp82028
g13
Nsg14
g74
sg15
V1940
p82029
sbg8
(g9
g10
NtRp82030
(dp82031
g13
Nsg14
g74
sg15
V2011
p82032
sbg8
(g9
g10
NtRp82033
(dp82034
g13
Nsg14
Nsg15
VTRUE
p82035
sbg8
(g9
g10
NtRp82036
(dp82037
g13
Nsg14
Nsg15
VEurope
p82038
sbg8
(g9
g10
NtRp82039
(dp82040
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82041
sbg8
(g9
g10
NtRp82042
(dp82043
g13
Nsg14
Nsg15
VFALSE
p82044
sbg8
(g9
g10
NtRp82045
(dp82046
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82047
sbg8
(g9
g10
NtRp82048
(dp82049
g13
Nsg14
Nsg15
VFALSE
p82050
sbNNNNNNNg8
(g9
g10
NtRp82051
(dp82052
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82053
(dp82054
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82055
(dp82056
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b1-5a_1940-2011_rev01
p82057
sbNNtp82058
a(g8
(g9
g10
NtRp82059
(dp82060
g13
Nsg14
Nsg15
Vabcf7088-9c1b-4fca-89a3-2ebe05bbf3b2
p82061
sbNg8
(g9
g10
NtRp82062
(dp82063
g13
Nsg14
Nsg15
VEUNIS habitat type F6.6, predicted habitat suitability - version 1, June 2016
p82064
sbNNNNNg8
(g9
g10
NtRp82065
(dp82066
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: -
p82067
sbg8
(g23
g10
NtRp82068
(dp82069
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82070
sbNg8
(g9
g10
NtRp82071
(dp82072
g13
Nsg14
Nsg15
VFALSE
p82073
sbNNNg8
(g9
g10
NtRp82074
(dp82075
g13
Nsg14
Nsg15
VFALSE
p82076
sbNNg8
(g9
g10
NtRp82077
(dp82078
g13
Nsg14
Nsg15
VFALSE
p82079
sbNNg8
(g9
g10
NtRp82080
(dp82081
g13
Nsg14
Nsg15
VFALSE
p82082
sbNg8
(g9
g10
NtRp82083
(dp82084
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_random_bg_ed1.png
p82085
sbg8
(g9
g10
NtRp82086
(dp82087
g13
Nsg14
Nsg15
VEPSG:3035
p82088
sbg8
(g9
g10
NtRp82089
(dp82090
g13
Nsg14
Nsg15
V2019-06-04
p82091
sbNg8
(g9
g10
NtRp82092
(dp82093
g13
Nsg14
Nsg15
VHabitats and biotopes
p82094
sbg8
(g9
g10
NtRp82095
(dp82096
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p82097
sbg8
(g9
g10
NtRp82098
(dp82099
g13
Nsg14
Nsg15
Vgrid
p82100
sbg8
(g9
g10
NtRp82101
(dp82102
g13
Nsg14
Nsg15
VGTiff
p82103
sbNg8
(g9
g10
NtRp82104
(dp82105
g13
Nsg14
Nsg15
V1000m
p82106
sbNg8
(g9
g10
NtRp82107
(dp82108
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 162\u000aRegularized training gain: 2.8667\u000aUnregularized training gain: 3.0438\u000aIterations: 500\u000aTraining AUC: 0.982\u000a#Test samples: 18\u000aTest gain: 3.048\u000aTest AUC: 0.9828\u000aAUC Standard Deviation: 0.004\u000a#Background points: 5162\u000abio_12_etrs2_ras contribution: 8.7275\u000abio_15_etrs2_ras contribution: 4.2175\u000abio_18_etrs2_ras contribution: 2.4728\u000abio_4_etrs2_ras contribution: 35.5355\u000abio_8_etrs2_ras contribution: 2.6417\u000abld_m_sd1_1km_eu_ll contribution: 5.5881\u000acecsum_m_sd1_1km_eu_ll contribution: 2.1144\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.0665\u000acrfvol_m_sd1_1km_eu_ll contribution: 22.2539\u000adist2water1km contribution: 0.0067\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.2616\u000apet_he_yr contribution: 3.5513\u000aphihox_m_sd1_1km_eu_ll contribution: 3.9178\u000asltppt_m_sd1_1km_eu_ll contribution: 1.0109\u000asndppt_m_sd1_1km_eu_ll contribution: 0.0835\u000asolar_1km contribution: 7.5503\u000abio_12_etrs2_ras permutation importance: 2.2173\u000abio_15_etrs2_ras permutation importance: 13.3874\u000abio_18_etrs2_ras permutation importance: 5.4726\u000abio_4_etrs2_ras permutation importance: 15.5297\u000abio_8_etrs2_ras permutation importance: 0.7\u000abld_m_sd1_1km_eu_ll permutation importance: 0.0354\u000acecsum_m_sd1_1km_eu_ll permutation importance: 2.5044\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0.2545\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 30.1078\u000adist2water1km permutation importance: 0.1881\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.8852\u000apet_he_yr permutation importance: 16.9184\u000aphihox_m_sd1_1km_eu_ll permutation importance: 5.1318\u000asltppt_m_sd1_1km_eu_ll permutation importance: 6.2122\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.1499\u000asolar_1km permutation importance: 0.3054\u000aEntropy: 5.6873\u000aPrevalence (average of logistic output over background sites): 0.0269\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0086\u000aFixed cumulative value 1 area: 0.1548\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.60E-15\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0677\u000aFixed cumulative value 5 area: 0.0633\u000aFixed cumulative value 5 training omission: 0.0123\u000aFixed cumulative value 5 test omission: 0.0556\u000aFixed cumulative value 5 binomial probability: 7.21E-20\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2047\u000aFixed cumulative value 10 area: 0.043\u000aFixed cumulative value 10 training omission: 0.0432\u000aFixed cumulative value 10 test omission: 0.1111\u000aFixed cumulative value 10 binomial probability: 1.93E-20\u000aMinimum training presence cumulative threshold: 4.4174\u000aMinimum training presence logistic threshold: 0.0556\u000aMinimum training presence area: 0.0686\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.13E-21\u000a10 percentile training presence cumulative threshold: 16.9724\u000a10 percentile training presence logistic threshold: 0.369\u000a10 percentile training presence area: 0.0329\u000a10 percentile training presence training omission: 0.0988\u000a10 percentile training presence test omission: 0.1111\u000a10 percentile training presence binomial probability: 2.75E-22\u000aEqual training sensitivity and specificity cumulative threshold: 9.937\u000aEqual training sensitivity and specificity logistic threshold: 0.1992\u000aEqual training sensitivity and specificity area: 0.0432\u000aEqual training sensitivity and specificity training omission: 0.0432\u000aEqual training sensitivity and specificity test omission: 0.1111\u000aEqual training sensitivity and specificity binomial probability: 2.07E-20\u000aMaximum training sensitivity plus specificity cumulative threshold: 4.4174\u000aMaximum training sensitivity plus specificity logistic threshold: 0.0556\u000aMaximum training sensitivity plus specificity area: 0.0686\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 1.13E-21\u000aEqual test sensitivity and specificity cumulative threshold: 6.2586\u000aEqual test sensitivity and specificity logistic threshold: 0.0975\u000aEqual test sensitivity and specificity area: 0.0556\u000aEqual test sensitivity and specificity training omission: 0.0309\u000aEqual test sensitivity and specificity test omission: 0.0556\u000aEqual test sensitivity and specificity binomial probability: 7.91E-21\u000aMaximum test sensitivity plus specificity cumulative threshold: 4.9631\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0671\u000aMaximum test sensitivity plus specificity area: 0.0637\u000aMaximum test sensitivity plus specificity training omission: 0.0123\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 3.01E-22\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.2794\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0223\u000aBalance training omission, predicted area and threshold value area: 0.104\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.04E-18\u000aEquate entropy of thresholded and original distributions cumulative threshold: 5.9729\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.0925\u000aEquate entropy of thresholded and original distributions area: 0.0571\u000aEquate entropy of thresholded and original distributions training omission: 0.0247\u000aEquate entropy of thresholded and original distributions test omission: 0.0556\u000aEquate entropy of thresholded and original distributions binomial probability: 1.26E-20
p82109
sbg8
(g9
g10
NtRp82110
(dp82111
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abcf7088-9c1b-4fca-89a3-2ebe05bbf3b2
p82112
sbg8
(g9
g10
NtRp82113
(dp82114
g13
Nsg14
g74
sg15
V1940
p82115
sbg8
(g9
g10
NtRp82116
(dp82117
g13
Nsg14
g74
sg15
V2011
p82118
sbg8
(g9
g10
NtRp82119
(dp82120
g13
Nsg14
Nsg15
VTRUE
p82121
sbg8
(g9
g10
NtRp82122
(dp82123
g13
Nsg14
Nsg15
VEurope
p82124
sbg8
(g9
g10
NtRp82125
(dp82126
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82127
sbg8
(g9
g10
NtRp82128
(dp82129
g13
Nsg14
Nsg15
VFALSE
p82130
sbg8
(g9
g10
NtRp82131
(dp82132
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82133
sbg8
(g9
g10
NtRp82134
(dp82135
g13
Nsg14
Nsg15
VFALSE
p82136
sbNNNNNNNg8
(g9
g10
NtRp82137
(dp82138
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82139
(dp82140
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82141
(dp82142
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f6-6_1940-2011_rev01
p82143
sbNNtp82144
a(g8
(g9
g10
NtRp82145
(dp82146
g13
Nsg14
Nsg15
Va69008a0-7013-4356-91ce-8930a805057a
p82147
sbNg8
(g9
g10
NtRp82148
(dp82149
g13
Nsg14
Nsg15
VEUNIS habitat type G1.A distribution based on vegetation plot data - version 1, Jan. 2015
p82150
sbNNNNNg8
(g9
g10
NtRp82151
(dp82152
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82153
sbg8
(g23
g10
NtRp82154
(dp82155
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82156
sbNg8
(g9
g10
NtRp82157
(dp82158
g13
Nsg14
Nsg15
VFALSE
p82159
sbNNNg8
(g9
g10
NtRp82160
(dp82161
g13
Nsg14
Nsg15
VFALSE
p82162
sbNNg8
(g9
g10
NtRp82163
(dp82164
g13
Nsg14
Nsg15
VFALSE
p82165
sbNNg8
(g9
g10
NtRp82166
(dp82167
g13
Nsg14
Nsg15
VFALSE
p82168
sbNg8
(g9
g10
NtRp82169
(dp82170
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-A_dist_edt1.png
p82171
sbg8
(g9
g10
NtRp82172
(dp82173
g13
Nsg14
Nsg15
VEPSG:3035
p82174
sbg8
(g9
g10
NtRp82175
(dp82176
g13
Nsg14
Nsg15
V2019-06-04
p82177
sbNg8
(g9
g10
NtRp82178
(dp82179
g13
Nsg14
Nsg15
VHabitats and biotopes
p82180
sbg8
(g9
g10
NtRp82181
(dp82182
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82183
sbg8
(g9
g10
NtRp82184
(dp82185
g13
Nsg14
Nsg15
Vvector
p82186
sbg8
(g9
g10
NtRp82187
(dp82188
g13
Nsg14
Nsg15
VSHP
p82189
sbNg8
(g9
g10
NtRp82190
(dp82191
g13
Nsg14
Nsg15
V1:10000000
p82192
sbNg8
(g9
g10
NtRp82193
(dp82194
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82195
sbg8
(g9
g10
NtRp82196
(dp82197
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a69008a0-7013-4356-91ce-8930a805057a
p82198
sbg8
(g9
g10
NtRp82199
(dp82200
g13
Nsg14
g74
sg15
V1940
p82201
sbg8
(g9
g10
NtRp82202
(dp82203
g13
Nsg14
g74
sg15
V2011
p82204
sbg8
(g9
g10
NtRp82205
(dp82206
g13
Nsg14
Nsg15
VTRUE
p82207
sbg8
(g9
g10
NtRp82208
(dp82209
g13
Nsg14
Nsg15
VEurope
p82210
sbg8
(g9
g10
NtRp82211
(dp82212
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82213
sbg8
(g9
g10
NtRp82214
(dp82215
g13
Nsg14
Nsg15
VFALSE
p82216
sbg8
(g9
g10
NtRp82217
(dp82218
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82219
sbg8
(g9
g10
NtRp82220
(dp82221
g13
Nsg14
Nsg15
VFALSE
p82222
sbNNNNNNNg8
(g9
g10
NtRp82223
(dp82224
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82225
(dp82226
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82227
(dp82228
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-a_1940-2011_rev01
p82229
sbNNtp82230
a(g8
(g9
g10
NtRp82231
(dp82232
g13
Nsg14
Nsg15
V0b9f5698-7f74-4258-869b-077f3e0a9b27
p82233
sbNg8
(g9
g10
NtRp82234
(dp82235
g13
Nsg14
Nsg15
VEUNIS habitat type G1.8 distribution based on vegetation plot data - version 1, Jan. 2015
p82236
sbNNNNNg8
(g9
g10
NtRp82237
(dp82238
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82239
sbg8
(g23
g10
NtRp82240
(dp82241
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82242
sbNg8
(g9
g10
NtRp82243
(dp82244
g13
Nsg14
Nsg15
VFALSE
p82245
sbNNNg8
(g9
g10
NtRp82246
(dp82247
g13
Nsg14
Nsg15
VFALSE
p82248
sbNNg8
(g9
g10
NtRp82249
(dp82250
g13
Nsg14
Nsg15
VFALSE
p82251
sbNNg8
(g9
g10
NtRp82252
(dp82253
g13
Nsg14
Nsg15
VFALSE
p82254
sbNg8
(g9
g10
NtRp82255
(dp82256
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-8_dist_edt1.png
p82257
sbg8
(g9
g10
NtRp82258
(dp82259
g13
Nsg14
Nsg15
VEPSG:3035
p82260
sbg8
(g9
g10
NtRp82261
(dp82262
g13
Nsg14
Nsg15
V2019-06-04
p82263
sbNg8
(g9
g10
NtRp82264
(dp82265
g13
Nsg14
Nsg15
VHabitats and biotopes
p82266
sbg8
(g9
g10
NtRp82267
(dp82268
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82269
sbg8
(g9
g10
NtRp82270
(dp82271
g13
Nsg14
Nsg15
Vvector
p82272
sbg8
(g9
g10
NtRp82273
(dp82274
g13
Nsg14
Nsg15
VSHP
p82275
sbNg8
(g9
g10
NtRp82276
(dp82277
g13
Nsg14
Nsg15
V1:10000000
p82278
sbNg8
(g9
g10
NtRp82279
(dp82280
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82281
sbg8
(g9
g10
NtRp82282
(dp82283
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b9f5698-7f74-4258-869b-077f3e0a9b27
p82284
sbg8
(g9
g10
NtRp82285
(dp82286
g13
Nsg14
g74
sg15
V1940
p82287
sbg8
(g9
g10
NtRp82288
(dp82289
g13
Nsg14
g74
sg15
V2011
p82290
sbg8
(g9
g10
NtRp82291
(dp82292
g13
Nsg14
Nsg15
VTRUE
p82293
sbg8
(g9
g10
NtRp82294
(dp82295
g13
Nsg14
Nsg15
VEurope
p82296
sbg8
(g9
g10
NtRp82297
(dp82298
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82299
sbg8
(g9
g10
NtRp82300
(dp82301
g13
Nsg14
Nsg15
VFALSE
p82302
sbg8
(g9
g10
NtRp82303
(dp82304
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82305
sbg8
(g9
g10
NtRp82306
(dp82307
g13
Nsg14
Nsg15
VFALSE
p82308
sbNNNNNNNg8
(g9
g10
NtRp82309
(dp82310
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82311
(dp82312
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82313
(dp82314
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-8_1940-2011_rev01
p82315
sbNNtp82316
a(g8
(g9
g10
NtRp82317
(dp82318
g13
Nsg14
Nsg15
V1b6b9175-8ac9-468f-888a-1b7e19bf12a1
p82319
sbNg8
(g9
g10
NtRp82320
(dp82321
g13
Nsg14
Nsg15
VEUNIS habitat type F3.1c, predicted habitat suitability - version 1, June 2016
p82322
sbNNNNNg8
(g9
g10
NtRp82323
(dp82324
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
p82325
sbg8
(g23
g10
NtRp82326
(dp82327
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82328
sbNg8
(g9
g10
NtRp82329
(dp82330
g13
Nsg14
Nsg15
VFALSE
p82331
sbNNNg8
(g9
g10
NtRp82332
(dp82333
g13
Nsg14
Nsg15
VFALSE
p82334
sbNNg8
(g9
g10
NtRp82335
(dp82336
g13
Nsg14
Nsg15
VFALSE
p82337
sbNNg8
(g9
g10
NtRp82338
(dp82339
g13
Nsg14
Nsg15
VFALSE
p82340
sbNg8
(g9
g10
NtRp82341
(dp82342
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_random_bg_ed1.png
p82343
sbg8
(g9
g10
NtRp82344
(dp82345
g13
Nsg14
Nsg15
VEPSG:3035
p82346
sbg8
(g9
g10
NtRp82347
(dp82348
g13
Nsg14
Nsg15
V2019-06-04
p82349
sbNg8
(g9
g10
NtRp82350
(dp82351
g13
Nsg14
Nsg15
VHabitats and biotopes
p82352
sbg8
(g9
g10
NtRp82353
(dp82354
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p82355
sbg8
(g9
g10
NtRp82356
(dp82357
g13
Nsg14
Nsg15
Vgrid
p82358
sbg8
(g9
g10
NtRp82359
(dp82360
g13
Nsg14
Nsg15
VGTiff
p82361
sbNg8
(g9
g10
NtRp82362
(dp82363
g13
Nsg14
Nsg15
V1000m
p82364
sbNg8
(g9
g10
NtRp82365
(dp82366
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 666\u000aRegularized training gain: 1.2802\u000aUnregularized training gain: 1.3799\u000aIterations: 500\u000aTraining AUC: 0.9059\u000a#Test samples: 73\u000aTest gain: 1.0738\u000aTest AUC: 0.8732\u000aAUC Standard Deviation: 0.0124\u000a#Background points: 5666\u000abio_12_etrs2_ras contribution: 0.4269\u000abio_15_etrs2_ras contribution: 2.9731\u000abio_18_etrs2_ras contribution: 2.3412\u000abio_4_etrs2_ras contribution: 66.1064\u000abio_8_etrs2_ras contribution: 1.2798\u000abld_m_sd1_1km_eu_ll contribution: 4.9566\u000acecsum_m_sd1_1km_eu_ll contribution: 0.0476\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.1946\u000acrfvol_m_sd1_1km_eu_ll contribution: 2.1861\u000adist2water1km contribution: 0.0257\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.1318\u000apet_he_yr contribution: 6.821\u000aphihox_m_sd1_1km_eu_ll contribution: 9.5905\u000asltppt_m_sd1_1km_eu_ll contribution: 0.0545\u000asndppt_m_sd1_1km_eu_ll contribution: 1.6297\u000asolar_1km contribution: 0.2346\u000abio_12_etrs2_ras permutation importance: 2.3055\u000abio_15_etrs2_ras permutation importance: 3.2361\u000abio_18_etrs2_ras permutation importance: 2.2278\u000abio_4_etrs2_ras permutation importance: 55.1138\u000abio_8_etrs2_ras permutation importance: 0.9665\u000abld_m_sd1_1km_eu_ll permutation importance: 6.9569\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.4431\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.4189\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 7.1748\u000adist2water1km permutation importance: 0\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.6062\u000apet_he_yr permutation importance: 8.9596\u000aphihox_m_sd1_1km_eu_ll permutation importance: 7.6888\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.1921\u000asndppt_m_sd1_1km_eu_ll permutation importance: 2.6035\u000asolar_1km permutation importance: 0.1064\u000aEntropy: 7.3637\u000aPrevalence (average of logistic output over background sites): 0.1358\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.04\u000aFixed cumulative value 1 area: 0.3789\u000aFixed cumulative value 1 training omission: 0.0045\u000aFixed cumulative value 1 test omission: 0.0274\u000aFixed cumulative value 1 binomial probability: 6.88E-26\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1686\u000aFixed cumulative value 5 area: 0.2734\u000aFixed cumulative value 5 training omission: 0.0255\u000aFixed cumulative value 5 test omission: 0.0959\u000aFixed cumulative value 5 binomial probability: 5.89E-34\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2755\u000aFixed cumulative value 10 area: 0.2238\u000aFixed cumulative value 10 training omission: 0.0586\u000aFixed cumulative value 10 test omission: 0.1233\u000aFixed cumulative value 10 binomial probability: 3.71E-41\u000aMinimum training presence cumulative threshold: 0.0459\u000aMinimum training presence logistic threshold: 0.0014\u000aMinimum training presence area: 0.6442\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.08E-10\u000a10 percentile training presence cumulative threshold: 15.122\u000a10 percentile training presence logistic threshold: 0.365\u000a10 percentile training presence area: 0.1936\u000a10 percentile training presence training omission: 0.0991\u000a10 percentile training presence test omission: 0.1918\u000a10 percentile training presence binomial probability: 1.32E-40\u000aEqual training sensitivity and specificity cumulative threshold: 22.4874\u000aEqual training sensitivity and specificity logistic threshold: 0.4269\u000aEqual training sensitivity and specificity area: 0.1624\u000aEqual training sensitivity and specificity training omission: 0.1622\u000aEqual training sensitivity and specificity test omission: 0.3425\u000aEqual training sensitivity and specificity binomial probability: 9.15E-31\u000aMaximum training sensitivity plus specificity cumulative threshold: 9.7059\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2681\u000aMaximum training sensitivity plus specificity area: 0.2261\u000aMaximum training sensitivity plus specificity training omission: 0.0526\u000aMaximum training sensitivity plus specificity test omission: 0.1233\u000aMaximum training sensitivity plus specificity binomial probability: 1.33E-40\u000aEqual test sensitivity and specificity cumulative threshold: 15.4509\u000aEqual test sensitivity and specificity logistic threshold: 0.3683\u000aEqual test sensitivity and specificity area: 0.192\u000aEqual test sensitivity and specificity training omission: 0.1021\u000aEqual test sensitivity and specificity test omission: 0.1918\u000aEqual test sensitivity and specificity binomial probability: 4.77E-41\u000aMaximum test sensitivity plus specificity cumulative threshold: 10.7774\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2889\u000aMaximum test sensitivity plus specificity area: 0.2183\u000aMaximum test sensitivity plus specificity training omission: 0.0646\u000aMaximum test sensitivity plus specificity test omission: 0.1233\u000aMaximum test sensitivity plus specificity binomial probability: 1.58E-42\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.6988\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0686\u000aBalance training omission, predicted area and threshold value area: 0.3449\u000aBalance training omission, predicted area and threshold value training omission: 0.006\u000aBalance training omission, predicted area and threshold value test omission: 0.0411\u000aBalance training omission, predicted area and threshold value binomial probability: 1.26E-28\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.6521\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1577\u000aEquate entropy of thresholded and original distributions area: 0.2783\u000aEquate entropy of thresholded and original distributions training omission: 0.021\u000aEquate entropy of thresholded and original distributions test omission: 0.0959\u000aEquate entropy of thresholded and original distributions binomial probability: 4.13E-33
p82367
sbg8
(g9
g10
NtRp82368
(dp82369
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b6b9175-8ac9-468f-888a-1b7e19bf12a1
p82370
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(g9
g10
NtRp82371
(dp82372
g13
Nsg14
g74
sg15
V1940
p82373
sbg8
(g9
g10
NtRp82374
(dp82375
g13
Nsg14
g74
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V2011
p82376
sbg8
(g9
g10
NtRp82377
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Nsg14
Nsg15
VTRUE
p82379
sbg8
(g9
g10
NtRp82380
(dp82381
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VEurope
p82382
sbg8
(g9
g10
NtRp82383
(dp82384
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82385
sbg8
(g9
g10
NtRp82386
(dp82387
g13
Nsg14
Nsg15
VFALSE
p82388
sbg8
(g9
g10
NtRp82389
(dp82390
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82391
sbg8
(g9
g10
NtRp82392
(dp82393
g13
Nsg14
Nsg15
VFALSE
p82394
sbNNNNNNNg8
(g9
g10
NtRp82395
(dp82396
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82397
(dp82398
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82399
(dp82400
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f3-1c_1940-2011_rev01
p82401
sbNNtp82402
a(g8
(g9
g10
NtRp82403
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g13
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Nsg15
Vced07f32-c509-4b85-891f-f8eef4fdb6bf
p82405
sbNg8
(g9
g10
NtRp82406
(dp82407
g13
Nsg14
Nsg15
VEUNIS habitat type G3.4b distribution based on vegetation plot data - version 1, Jan. 2015
p82408
sbNNNNNg8
(g9
g10
NtRp82409
(dp82410
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82411
sbg8
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g10
NtRp82412
(dp82413
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82414
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Nsg15
VFALSE
p82417
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NtRp82418
(dp82419
g13
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Nsg15
VFALSE
p82420
sbNNg8
(g9
g10
NtRp82421
(dp82422
g13
Nsg14
Nsg15
VFALSE
p82423
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(g9
g10
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(dp82425
g13
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Nsg15
VFALSE
p82426
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(g9
g10
NtRp82427
(dp82428
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_dist_edt1.png
p82429
sbg8
(g9
g10
NtRp82430
(dp82431
g13
Nsg14
Nsg15
VEPSG:3035
p82432
sbg8
(g9
g10
NtRp82433
(dp82434
g13
Nsg14
Nsg15
V2019-06-04
p82435
sbNg8
(g9
g10
NtRp82436
(dp82437
g13
Nsg14
Nsg15
VHabitats and biotopes
p82438
sbg8
(g9
g10
NtRp82439
(dp82440
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82441
sbg8
(g9
g10
NtRp82442
(dp82443
g13
Nsg14
Nsg15
Vvector
p82444
sbg8
(g9
g10
NtRp82445
(dp82446
g13
Nsg14
Nsg15
VSHP
p82447
sbNg8
(g9
g10
NtRp82448
(dp82449
g13
Nsg14
Nsg15
V1:10000000
p82450
sbNg8
(g9
g10
NtRp82451
(dp82452
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82453
sbg8
(g9
g10
NtRp82454
(dp82455
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ced07f32-c509-4b85-891f-f8eef4fdb6bf
p82456
sbg8
(g9
g10
NtRp82457
(dp82458
g13
Nsg14
g74
sg15
V1940
p82459
sbg8
(g9
g10
NtRp82460
(dp82461
g13
Nsg14
g74
sg15
V2011
p82462
sbg8
(g9
g10
NtRp82463
(dp82464
g13
Nsg14
Nsg15
VTRUE
p82465
sbg8
(g9
g10
NtRp82466
(dp82467
g13
Nsg14
Nsg15
VEurope
p82468
sbg8
(g9
g10
NtRp82469
(dp82470
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82471
sbg8
(g9
g10
NtRp82472
(dp82473
g13
Nsg14
Nsg15
VFALSE
p82474
sbg8
(g9
g10
NtRp82475
(dp82476
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82477
sbg8
(g9
g10
NtRp82478
(dp82479
g13
Nsg14
Nsg15
VFALSE
p82480
sbNNNNNNNg8
(g9
g10
NtRp82481
(dp82482
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82483
(dp82484
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82485
(dp82486
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-4b_1940-2011_rev01
p82487
sbNNtp82488
a(g8
(g9
g10
NtRp82489
(dp82490
g13
Nsg14
Nsg15
V2075009c-11bd-4566-a8e6-53c2bcda9428
p82491
sbNg8
(g9
g10
NtRp82492
(dp82493
g13
Nsg14
Nsg15
VEUNIS habitat type G2.5 distribution based on vegetation plot data - version 1, Jan. 2015
p82494
sbNNNNNg8
(g9
g10
NtRp82495
(dp82496
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82497
sbg8
(g23
g10
NtRp82498
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g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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(g9
g10
NtRp82501
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g13
Nsg14
Nsg15
VFALSE
p82503
sbNNNg8
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g13
Nsg14
Nsg15
VFALSE
p82506
sbNNg8
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NtRp82507
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g13
Nsg14
Nsg15
VFALSE
p82509
sbNNg8
(g9
g10
NtRp82510
(dp82511
g13
Nsg14
Nsg15
VFALSE
p82512
sbNg8
(g9
g10
NtRp82513
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-5_dist_edt1.png
p82515
sbg8
(g9
g10
NtRp82516
(dp82517
g13
Nsg14
Nsg15
VEPSG:3035
p82518
sbg8
(g9
g10
NtRp82519
(dp82520
g13
Nsg14
Nsg15
V2019-06-04
p82521
sbNg8
(g9
g10
NtRp82522
(dp82523
g13
Nsg14
Nsg15
VHabitats and biotopes
p82524
sbg8
(g9
g10
NtRp82525
(dp82526
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82527
sbg8
(g9
g10
NtRp82528
(dp82529
g13
Nsg14
Nsg15
Vvector
p82530
sbg8
(g9
g10
NtRp82531
(dp82532
g13
Nsg14
Nsg15
VSHP
p82533
sbNg8
(g9
g10
NtRp82534
(dp82535
g13
Nsg14
Nsg15
V1:10000000
p82536
sbNg8
(g9
g10
NtRp82537
(dp82538
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82539
sbg8
(g9
g10
NtRp82540
(dp82541
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2075009c-11bd-4566-a8e6-53c2bcda9428
p82542
sbg8
(g9
g10
NtRp82543
(dp82544
g13
Nsg14
g74
sg15
V1940
p82545
sbg8
(g9
g10
NtRp82546
(dp82547
g13
Nsg14
g74
sg15
V2011
p82548
sbg8
(g9
g10
NtRp82549
(dp82550
g13
Nsg14
Nsg15
VTRUE
p82551
sbg8
(g9
g10
NtRp82552
(dp82553
g13
Nsg14
Nsg15
VEurope
p82554
sbg8
(g9
g10
NtRp82555
(dp82556
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82557
sbg8
(g9
g10
NtRp82558
(dp82559
g13
Nsg14
Nsg15
VFALSE
p82560
sbg8
(g9
g10
NtRp82561
(dp82562
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82563
sbg8
(g9
g10
NtRp82564
(dp82565
g13
Nsg14
Nsg15
VFALSE
p82566
sbNNNNNNNg8
(g9
g10
NtRp82567
(dp82568
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82569
(dp82570
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82571
(dp82572
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g2-5_1940-2011_rev01
p82573
sbNNtp82574
a(g8
(g9
g10
NtRp82575
(dp82576
g13
Nsg14
Nsg15
Vc456eebe-180f-4c9f-afba-7b3179a72bfc
p82577
sbNg8
(g9
g10
NtRp82578
(dp82579
g13
Nsg14
Nsg15
VEUNIS habitat type F2.2a, predicted habitat suitability - version 1, June 2016
p82580
sbNNNNNg8
(g9
g10
NtRp82581
(dp82582
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.
p82583
sbg8
(g23
g10
NtRp82584
(dp82585
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82586
sbNg8
(g9
g10
NtRp82587
(dp82588
g13
Nsg14
Nsg15
VFALSE
p82589
sbNNNg8
(g9
g10
NtRp82590
(dp82591
g13
Nsg14
Nsg15
VFALSE
p82592
sbNNg8
(g9
g10
NtRp82593
(dp82594
g13
Nsg14
Nsg15
VFALSE
p82595
sbNNg8
(g9
g10
NtRp82596
(dp82597
g13
Nsg14
Nsg15
VFALSE
p82598
sbNg8
(g9
g10
NtRp82599
(dp82600
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_random_bg_ed1.png
p82601
sbg8
(g9
g10
NtRp82602
(dp82603
g13
Nsg14
Nsg15
VEPSG:3035
p82604
sbg8
(g9
g10
NtRp82605
(dp82606
g13
Nsg14
Nsg15
V2019-06-04
p82607
sbNg8
(g9
g10
NtRp82608
(dp82609
g13
Nsg14
Nsg15
VHabitats and biotopes
p82610
sbg8
(g9
g10
NtRp82611
(dp82612
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p82613
sbg8
(g9
g10
NtRp82614
(dp82615
g13
Nsg14
Nsg15
Vgrid
p82616
sbg8
(g9
g10
NtRp82617
(dp82618
g13
Nsg14
Nsg15
VGTiff
p82619
sbNg8
(g9
g10
NtRp82620
(dp82621
g13
Nsg14
Nsg15
V1000m
p82622
sbNg8
(g9
g10
NtRp82623
(dp82624
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1070\u000aRegularized training gain: 1.3458\u000aUnregularized training gain: 1.4095\u000aIterations: 500\u000aTraining AUC: 0.901\u000a#Test samples: 118\u000aTest gain: 1.2721\u000aTest AUC: 0.8861\u000aAUC Standard Deviation: 0.0075\u000a#Background points: 6070\u000abio_12_etrs2_ras contribution: 33.5265\u000abio_15_etrs2_ras contribution: 0.1903\u000abio_18_etrs2_ras contribution: 9.6382\u000abio_4_etrs2_ras contribution: 1.0636\u000abio_8_etrs2_ras contribution: 0.5933\u000abld_m_sd1_1km_eu_ll contribution: 2.8496\u000acecsum_m_sd1_1km_eu_ll contribution: 0.6751\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.2887\u000acrfvol_m_sd1_1km_eu_ll contribution: 18.1061\u000adist2water1km contribution: 0\u000aorcdrc_m_sd1_1km_eu_ll contribution: 11.4909\u000apet_he_yr contribution: 3.6068\u000aphihox_m_sd1_1km_eu_ll contribution: 0.1302\u000asltppt_m_sd1_1km_eu_ll contribution: 1.8458\u000asndppt_m_sd1_1km_eu_ll contribution: 0.6931\u000asolar_1km contribution: 14.3018\u000abio_12_etrs2_ras permutation importance: 1.0794\u000abio_15_etrs2_ras permutation importance: 0.6918\u000abio_18_etrs2_ras permutation importance: 7.8141\u000abio_4_etrs2_ras permutation importance: 6.4946\u000abio_8_etrs2_ras permutation importance: 0.9379\u000abld_m_sd1_1km_eu_ll permutation importance: 0.5402\u000acecsum_m_sd1_1km_eu_ll permutation importance: 4.6098\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 5.4915\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 56.308\u000adist2water1km permutation importance: 0\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 2.8099\u000apet_he_yr permutation importance: 10.1387\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0.3418\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.5011\u000asndppt_m_sd1_1km_eu_ll permutation importance: 1.1682\u000asolar_1km permutation importance: 1.0731\u000aEntropy: 7.3657\u000aPrevalence (average of logistic output over background sites): 0.1264\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0349\u000aFixed cumulative value 1 area: 0.3572\u000aFixed cumulative value 1 training omission: 0.0047\u000aFixed cumulative value 1 test omission: 0.0169\u000aFixed cumulative value 1 binomial probability: 5.36E-46\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1584\u000aFixed cumulative value 5 area: 0.2453\u000aFixed cumulative value 5 training omission: 0.0234\u000aFixed cumulative value 5 test omission: 0.0593\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2848\u000aFixed cumulative value 10 area: 0.199\u000aFixed cumulative value 10 training omission: 0.0561\u000aFixed cumulative value 10 test omission: 0.0932\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.1003\u000aMinimum training presence logistic threshold: 0.002\u000aMinimum training presence area: 0.6049\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 8.29E-19\u000a10 percentile training presence cumulative threshold: 13.5366\u000a10 percentile training presence logistic threshold: 0.3562\u000a10 percentile training presence area: 0.1797\u000a10 percentile training presence training omission: 0.1\u000a10 percentile training presence test omission: 0.1441\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 18.1358\u000aEqual training sensitivity and specificity logistic threshold: 0.435\u000aEqual training sensitivity and specificity area: 0.1616\u000aEqual training sensitivity and specificity training omission: 0.1617\u000aEqual training sensitivity and specificity test omission: 0.2119\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.2314\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2444\u000aMaximum training sensitivity plus specificity area: 0.2117\u000aMaximum training sensitivity plus specificity training omission: 0.0411\u000aMaximum training sensitivity plus specificity test omission: 0.0847\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 14.1477\u000aEqual test sensitivity and specificity logistic threshold: 0.3691\u000aEqual test sensitivity and specificity area: 0.1769\u000aEqual test sensitivity and specificity training omission: 0.1075\u000aEqual test sensitivity and specificity test omission: 0.178\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 6.807\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2098\u000aMaximum test sensitivity plus specificity area: 0.2242\u000aMaximum test sensitivity plus specificity training omission: 0.0299\u000aMaximum test sensitivity plus specificity test omission: 0.0593\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5235\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0551\u000aBalance training omission, predicted area and threshold value area: 0.3278\u000aBalance training omission, predicted area and threshold value training omission: 0.0056\u000aBalance training omission, predicted area and threshold value test omission: 0.0254\u000aBalance training omission, predicted area and threshold value binomial probability: 6.14E-51\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.0404\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1289\u000aEquate entropy of thresholded and original distributions area: 0.2603\u000aEquate entropy of thresholded and original distributions training omission: 0.0187\u000aEquate entropy of thresholded and original distributions test omission: 0.0508\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p82625
sbg8
(g9
g10
NtRp82626
(dp82627
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c456eebe-180f-4c9f-afba-7b3179a72bfc
p82628
sbg8
(g9
g10
NtRp82629
(dp82630
g13
Nsg14
g74
sg15
V1940
p82631
sbg8
(g9
g10
NtRp82632
(dp82633
g13
Nsg14
g74
sg15
V2011
p82634
sbg8
(g9
g10
NtRp82635
(dp82636
g13
Nsg14
Nsg15
VTRUE
p82637
sbg8
(g9
g10
NtRp82638
(dp82639
g13
Nsg14
Nsg15
VEurope
p82640
sbg8
(g9
g10
NtRp82641
(dp82642
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82643
sbg8
(g9
g10
NtRp82644
(dp82645
g13
Nsg14
Nsg15
VFALSE
p82646
sbg8
(g9
g10
NtRp82647
(dp82648
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82649
sbg8
(g9
g10
NtRp82650
(dp82651
g13
Nsg14
Nsg15
VFALSE
p82652
sbNNNNNNNg8
(g9
g10
NtRp82653
(dp82654
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82655
(dp82656
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82657
(dp82658
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f2-2a_1940-2011_rev01
p82659
sbNNtp82660
a(g8
(g9
g10
NtRp82661
(dp82662
g13
Nsg14
Nsg15
V412b0d02-95c3-4c1f-aecc-55b268c7c8fe
p82663
sbNg8
(g9
g10
NtRp82664
(dp82665
g13
Nsg14
Nsg15
VEUNIS habitat type G1.6a distribution based on vegetation plot data - version 1, Jan. 2015
p82666
sbNNNNNg8
(g9
g10
NtRp82667
(dp82668
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82669
sbg8
(g23
g10
NtRp82670
(dp82671
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82672
sbNg8
(g9
g10
NtRp82673
(dp82674
g13
Nsg14
Nsg15
VFALSE
p82675
sbNNNg8
(g9
g10
NtRp82676
(dp82677
g13
Nsg14
Nsg15
VFALSE
p82678
sbNNg8
(g9
g10
NtRp82679
(dp82680
g13
Nsg14
Nsg15
VFALSE
p82681
sbNNg8
(g9
g10
NtRp82682
(dp82683
g13
Nsg14
Nsg15
VFALSE
p82684
sbNg8
(g9
g10
NtRp82685
(dp82686
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6a_dist_edt1.png
p82687
sbg8
(g9
g10
NtRp82688
(dp82689
g13
Nsg14
Nsg15
VEPSG:3035
p82690
sbg8
(g9
g10
NtRp82691
(dp82692
g13
Nsg14
Nsg15
V2019-06-04
p82693
sbNg8
(g9
g10
NtRp82694
(dp82695
g13
Nsg14
Nsg15
VHabitats and biotopes
p82696
sbg8
(g9
g10
NtRp82697
(dp82698
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82699
sbg8
(g9
g10
NtRp82700
(dp82701
g13
Nsg14
Nsg15
Vvector
p82702
sbg8
(g9
g10
NtRp82703
(dp82704
g13
Nsg14
Nsg15
VSHP
p82705
sbNg8
(g9
g10
NtRp82706
(dp82707
g13
Nsg14
Nsg15
V1:10000000
p82708
sbNg8
(g9
g10
NtRp82709
(dp82710
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82711
sbg8
(g9
g10
NtRp82712
(dp82713
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/412b0d02-95c3-4c1f-aecc-55b268c7c8fe
p82714
sbg8
(g9
g10
NtRp82715
(dp82716
g13
Nsg14
g74
sg15
V1940
p82717
sbg8
(g9
g10
NtRp82718
(dp82719
g13
Nsg14
g74
sg15
V2011
p82720
sbg8
(g9
g10
NtRp82721
(dp82722
g13
Nsg14
Nsg15
VTRUE
p82723
sbg8
(g9
g10
NtRp82724
(dp82725
g13
Nsg14
Nsg15
VEurope
p82726
sbg8
(g9
g10
NtRp82727
(dp82728
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82729
sbg8
(g9
g10
NtRp82730
(dp82731
g13
Nsg14
Nsg15
VFALSE
p82732
sbg8
(g9
g10
NtRp82733
(dp82734
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82735
sbg8
(g9
g10
NtRp82736
(dp82737
g13
Nsg14
Nsg15
VFALSE
p82738
sbNNNNNNNg8
(g9
g10
NtRp82739
(dp82740
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82741
(dp82742
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82743
(dp82744
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g1-6a_1940-2011_rev01
p82745
sbNNtp82746
a(g8
(g9
g10
NtRp82747
(dp82748
g13
Nsg14
Nsg15
Vfc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3
p82749
sbNg8
(g9
g10
NtRp82750
(dp82751
g13
Nsg14
Nsg15
VEUNIS habitat type G3.6 distribution based on vegetation plot data - version 1, Jan. 2015
p82752
sbNNNNNg8
(g9
g10
NtRp82753
(dp82754
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82755
sbg8
(g23
g10
NtRp82756
(dp82757
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82758
sbNg8
(g9
g10
NtRp82759
(dp82760
g13
Nsg14
Nsg15
VFALSE
p82761
sbNNNg8
(g9
g10
NtRp82762
(dp82763
g13
Nsg14
Nsg15
VFALSE
p82764
sbNNg8
(g9
g10
NtRp82765
(dp82766
g13
Nsg14
Nsg15
VFALSE
p82767
sbNNg8
(g9
g10
NtRp82768
(dp82769
g13
Nsg14
Nsg15
VFALSE
p82770
sbNg8
(g9
g10
NtRp82771
(dp82772
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-6_dist_edt1.png
p82773
sbg8
(g9
g10
NtRp82774
(dp82775
g13
Nsg14
Nsg15
VEPSG:3035
p82776
sbg8
(g9
g10
NtRp82777
(dp82778
g13
Nsg14
Nsg15
V2019-06-04
p82779
sbNg8
(g9
g10
NtRp82780
(dp82781
g13
Nsg14
Nsg15
VHabitats and biotopes
p82782
sbg8
(g9
g10
NtRp82783
(dp82784
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p82785
sbg8
(g9
g10
NtRp82786
(dp82787
g13
Nsg14
Nsg15
Vvector
p82788
sbg8
(g9
g10
NtRp82789
(dp82790
g13
Nsg14
Nsg15
VSHP
p82791
sbNg8
(g9
g10
NtRp82792
(dp82793
g13
Nsg14
Nsg15
V1:10000000
p82794
sbNg8
(g9
g10
NtRp82795
(dp82796
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p82797
sbg8
(g9
g10
NtRp82798
(dp82799
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3
p82800
sbg8
(g9
g10
NtRp82801
(dp82802
g13
Nsg14
g74
sg15
V1940
p82803
sbg8
(g9
g10
NtRp82804
(dp82805
g13
Nsg14
g74
sg15
V2011
p82806
sbg8
(g9
g10
NtRp82807
(dp82808
g13
Nsg14
Nsg15
VTRUE
p82809
sbg8
(g9
g10
NtRp82810
(dp82811
g13
Nsg14
Nsg15
VEurope
p82812
sbg8
(g9
g10
NtRp82813
(dp82814
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82815
sbg8
(g9
g10
NtRp82816
(dp82817
g13
Nsg14
Nsg15
VFALSE
p82818
sbg8
(g9
g10
NtRp82819
(dp82820
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82821
sbg8
(g9
g10
NtRp82822
(dp82823
g13
Nsg14
Nsg15
VFALSE
p82824
sbNNNNNNNg8
(g9
g10
NtRp82825
(dp82826
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82827
(dp82828
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82829
(dp82830
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-6_1940-2011_rev01
p82831
sbNNtp82832
a(g8
(g9
g10
NtRp82833
(dp82834
g13
Nsg14
Nsg15
Vbc4b2fff-b175-42ea-899c-5cf8293c523f
p82835
sbNg8
(g9
g10
NtRp82836
(dp82837
g13
Nsg14
Nsg15
VEUNIS habitat type F7-3 distribution based on vegetation plot data - version 1, June 2016
p82838
sbNNNNNg8
(g9
g10
NtRp82839
(dp82840
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82841
sbg8
(g23
g10
NtRp82842
(dp82843
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82844
sbNg8
(g9
g10
NtRp82845
(dp82846
g13
Nsg14
Nsg15
VFALSE
p82847
sbNNNg8
(g9
g10
NtRp82848
(dp82849
g13
Nsg14
Nsg15
VFALSE
p82850
sbNNg8
(g9
g10
NtRp82851
(dp82852
g13
Nsg14
Nsg15
VFALSE
p82853
sbNNg8
(g9
g10
NtRp82854
(dp82855
g13
Nsg14
Nsg15
VFALSE
p82856
sbNg8
(g9
g10
NtRp82857
(dp82858
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_dist_edt1.png
p82859
sbg8
(g9
g10
NtRp82860
(dp82861
g13
Nsg14
Nsg15
VEPSG:3035
p82862
sbg8
(g9
g10
NtRp82863
(dp82864
g13
Nsg14
Nsg15
V2019-06-04
p82865
sbNg8
(g9
g10
NtRp82866
(dp82867
g13
Nsg14
Nsg15
VHabitats and biotopes
p82868
sbg8
(g9
g10
NtRp82869
(dp82870
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p82871
sbg8
(g9
g10
NtRp82872
(dp82873
g13
Nsg14
Nsg15
Vvector
p82874
sbg8
(g9
g10
NtRp82875
(dp82876
g13
Nsg14
Nsg15
VSHP
p82877
sbNg8
(g9
g10
NtRp82878
(dp82879
g13
Nsg14
Nsg15
V1:10000000
p82880
sbNg8
(g9
g10
NtRp82881
(dp82882
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p82883
sbg8
(g9
g10
NtRp82884
(dp82885
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc4b2fff-b175-42ea-899c-5cf8293c523f
p82886
sbg8
(g9
g10
NtRp82887
(dp82888
g13
Nsg14
g74
sg15
V1940
p82889
sbg8
(g9
g10
NtRp82890
(dp82891
g13
Nsg14
g74
sg15
V2011
p82892
sbg8
(g9
g10
NtRp82893
(dp82894
g13
Nsg14
Nsg15
VTRUE
p82895
sbg8
(g9
g10
NtRp82896
(dp82897
g13
Nsg14
Nsg15
VEurope
p82898
sbg8
(g9
g10
NtRp82899
(dp82900
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82901
sbg8
(g9
g10
NtRp82902
(dp82903
g13
Nsg14
Nsg15
VFALSE
p82904
sbg8
(g9
g10
NtRp82905
(dp82906
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82907
sbg8
(g9
g10
NtRp82908
(dp82909
g13
Nsg14
Nsg15
VFALSE
p82910
sbNNNNNNNg8
(g9
g10
NtRp82911
(dp82912
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82913
(dp82914
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp82915
(dp82916
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f7-3_1940-2011_rev01
p82917
sbNNtp82918
a(g8
(g9
g10
NtRp82919
(dp82920
g13
Nsg14
Nsg15
Ve94efd6d-555c-4df1-bb2a-9913403fa05d
p82921
sbNg8
(g9
g10
NtRp82922
(dp82923
g13
Nsg14
Nsg15
VEUNIS habitat type F6-1a distribution based on vegetation plot data - version 1, June 2016
p82924
sbNNNNNg8
(g9
g10
NtRp82925
(dp82926
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p82927
sbg8
(g23
g10
NtRp82928
(dp82929
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p82930
sbNg8
(g9
g10
NtRp82931
(dp82932
g13
Nsg14
Nsg15
VFALSE
p82933
sbNNNg8
(g9
g10
NtRp82934
(dp82935
g13
Nsg14
Nsg15
VFALSE
p82936
sbNNg8
(g9
g10
NtRp82937
(dp82938
g13
Nsg14
Nsg15
VFALSE
p82939
sbNNg8
(g9
g10
NtRp82940
(dp82941
g13
Nsg14
Nsg15
VFALSE
p82942
sbNg8
(g9
g10
NtRp82943
(dp82944
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1a_dist_edt1.png
p82945
sbg8
(g9
g10
NtRp82946
(dp82947
g13
Nsg14
Nsg15
VEPSG:3035
p82948
sbg8
(g9
g10
NtRp82949
(dp82950
g13
Nsg14
Nsg15
V2019-06-04
p82951
sbNg8
(g9
g10
NtRp82952
(dp82953
g13
Nsg14
Nsg15
VHabitats and biotopes
p82954
sbg8
(g9
g10
NtRp82955
(dp82956
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p82957
sbg8
(g9
g10
NtRp82958
(dp82959
g13
Nsg14
Nsg15
Vvector
p82960
sbg8
(g9
g10
NtRp82961
(dp82962
g13
Nsg14
Nsg15
VSHP
p82963
sbNg8
(g9
g10
NtRp82964
(dp82965
g13
Nsg14
Nsg15
V1:10000000
p82966
sbNg8
(g9
g10
NtRp82967
(dp82968
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p82969
sbg8
(g9
g10
NtRp82970
(dp82971
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e94efd6d-555c-4df1-bb2a-9913403fa05d
p82972
sbg8
(g9
g10
NtRp82973
(dp82974
g13
Nsg14
g74
sg15
V1940
p82975
sbg8
(g9
g10
NtRp82976
(dp82977
g13
Nsg14
g74
sg15
V2011
p82978
sbg8
(g9
g10
NtRp82979
(dp82980
g13
Nsg14
Nsg15
VTRUE
p82981
sbg8
(g9
g10
NtRp82982
(dp82983
g13
Nsg14
Nsg15
VEurope
p82984
sbg8
(g9
g10
NtRp82985
(dp82986
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p82987
sbg8
(g9
g10
NtRp82988
(dp82989
g13
Nsg14
Nsg15
VFALSE
p82990
sbg8
(g9
g10
NtRp82991
(dp82992
g13
Nsg14
Nsg15
VEuropean Environment Agency
p82993
sbg8
(g9
g10
NtRp82994
(dp82995
g13
Nsg14
Nsg15
VFALSE
p82996
sbNNNNNNNg8
(g9
g10
NtRp82997
(dp82998
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp82999
(dp83000
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83001
(dp83002
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f6-1a_1940-2011_rev01
p83003
sbNNtp83004
a(g8
(g9
g10
NtRp83005
(dp83006
g13
Nsg14
Nsg15
V033c6a47-a38e-4e3a-98a1-027f6f2f712a
p83007
sbNg8
(g9
g10
NtRp83008
(dp83009
g13
Nsg14
Nsg15
VEUNIS habitat type G1.6b, predicted distribution of habitat suitability - version 1, Jan. 2015
p83010
sbNNNNNg8
(g9
g10
NtRp83011
(dp83012
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p83013
sbg8
(g23
g10
NtRp83014
(dp83015
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83016
sbNg8
(g9
g10
NtRp83017
(dp83018
g13
Nsg14
Nsg15
VFALSE
p83019
sbNNNg8
(g9
g10
NtRp83020
(dp83021
g13
Nsg14
Nsg15
VFALSE
p83022
sbNNg8
(g9
g10
NtRp83023
(dp83024
g13
Nsg14
Nsg15
VFALSE
p83025
sbNNg8
(g9
g10
NtRp83026
(dp83027
g13
Nsg14
Nsg15
VFALSE
p83028
sbNg8
(g9
g10
NtRp83029
(dp83030
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_random_bg_ed1.png
p83031
sbg8
(g9
g10
NtRp83032
(dp83033
g13
Nsg14
Nsg15
VEPSG:3035
p83034
sbg8
(g9
g10
NtRp83035
(dp83036
g13
Nsg14
Nsg15
V2019-06-04
p83037
sbNg8
(g9
g10
NtRp83038
(dp83039
g13
Nsg14
Nsg15
VHabitats and biotopes
p83040
sbg8
(g9
g10
NtRp83041
(dp83042
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p83043
sbg8
(g9
g10
NtRp83044
(dp83045
g13
Nsg14
Nsg15
Vgrid
p83046
sbg8
(g9
g10
NtRp83047
(dp83048
g13
Nsg14
Nsg15
VAAIGrid
p83049
sbNg8
(g9
g10
NtRp83050
(dp83051
g13
Nsg14
Nsg15
V1000m
p83052
sbNg8
(g9
g10
NtRp83053
(dp83054
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 2817\u000aRegularized training gain: 0.8222\u000aUnregularized training gain: 0.8657\u000aIterations: 500\u000aTraining AUC: 0.8336\u000a#Test samples: 312\u000aTest gain: 0.8563\u000aTest AUC: 0.8312\u000aAUC Standard Deviation: 0.0072\u000a#Background points: 12808\u000abio_12_etrs2_ras contribution: 8.8968\u000abio_15_etrs2_ras contribution: 1.1614\u000abio_18_etrs2_ras contribution: 7.0438\u000abio_4_etrs2_ras contribution: 58.7703\u000abio_8_etrs2_ras contribution: 0.0876\u000adist2water1km contribution: 0.0586\u000apet_he_yr contribution: 22.2968\u000asoil_ph contribution: 0.224\u000asolar_1km contribution: 1.4606\u000abio_12_etrs2_ras permutation importance: 4.9173\u000abio_15_etrs2_ras permutation importance: 3.0181\u000abio_18_etrs2_ras permutation importance: 5.8809\u000abio_4_etrs2_ras permutation importance: 63.4057\u000abio_8_etrs2_ras permutation importance: 0.201\u000adist2water1km permutation importance: 0.2517\u000apet_he_yr permutation importance: 19.9466\u000asoil_ph permutation importance: 0.4075\u000asolar_1km permutation importance: 1.9711\u000aEntropy: 8.6365\u000aPrevalence (average of logistic output over background sites): 0.2167\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0701\u000aFixed cumulative value 1 area: 0.4961\u000aFixed cumulative value 1 training omission: 0.005\u000aFixed cumulative value 1 test omission: 0.0032\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2601\u000aFixed cumulative value 5 area: 0.4086\u000aFixed cumulative value 5 training omission: 0.0334\u000aFixed cumulative value 5 test omission: 0.0417\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3472\u000aFixed cumulative value 10 area: 0.3586\u000aFixed cumulative value 10 training omission: 0.0753\u000aFixed cumulative value 10 test omission: 0.0737\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.1542\u000aMinimum training presence logistic threshold: 0.0066\u000aMinimum training presence area: 0.6498\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 9.22E-39\u000a10 percentile training presence cumulative threshold: 12.3933\u000a10 percentile training presence logistic threshold: 0.3705\u000a10 percentile training presence area: 0.3397\u000a10 percentile training presence training omission: 0.0998\u000a10 percentile training presence test omission: 0.1058\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 27.2447\u000aEqual training sensitivity and specificity logistic threshold: 0.4609\u000aEqual training sensitivity and specificity area: 0.2495\u000aEqual training sensitivity and specificity training omission: 0.2496\u000aEqual training sensitivity and specificity test omission: 0.2532\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.1514\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3203\u000aMaximum training sensitivity plus specificity area: 0.3748\u000aMaximum training sensitivity plus specificity training omission: 0.0525\u000aMaximum training sensitivity plus specificity test omission: 0.0609\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 26.5216\u000aEqual test sensitivity and specificity logistic threshold: 0.4576\u000aEqual test sensitivity and specificity area: 0.2532\u000aEqual test sensitivity and specificity training omission: 0.2425\u000aEqual test sensitivity and specificity test omission: 0.2532\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 10.8106\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3546\u000aMaximum test sensitivity plus specificity area: 0.352\u000aMaximum test sensitivity plus specificity training omission: 0.0827\u000aMaximum test sensitivity plus specificity test omission: 0.0769\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 0.9322\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0639\u000aBalance training omission, predicted area and threshold value area: 0.5002\u000aBalance training omission, predicted area and threshold value training omission: 0.0039\u000aBalance training omission, predicted area and threshold value test omission: 0.0032\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.9505\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1898\u000aEquate entropy of thresholded and original distributions area: 0.4398\u000aEquate entropy of thresholded and original distributions training omission: 0.0167\u000aEquate entropy of thresholded and original distributions test omission: 0.016\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p83055
sbg8
(g9
g10
NtRp83056
(dp83057
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/033c6a47-a38e-4e3a-98a1-027f6f2f712a
p83058
sbg8
(g9
g10
NtRp83059
(dp83060
g13
Nsg14
g74
sg15
V1940
p83061
sbg8
(g9
g10
NtRp83062
(dp83063
g13
Nsg14
g74
sg15
V2011
p83064
sbg8
(g9
g10
NtRp83065
(dp83066
g13
Nsg14
Nsg15
VTRUE
p83067
sbg8
(g9
g10
NtRp83068
(dp83069
g13
Nsg14
Nsg15
VEurope
p83070
sbg8
(g9
g10
NtRp83071
(dp83072
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83073
sbg8
(g9
g10
NtRp83074
(dp83075
g13
Nsg14
Nsg15
VFALSE
p83076
sbg8
(g9
g10
NtRp83077
(dp83078
g13
Nsg14
Nsg15
VEuropean Environment Agency
p83079
sbg8
(g9
g10
NtRp83080
(dp83081
g13
Nsg14
Nsg15
VFALSE
p83082
sbNNNNNNNg8
(g9
g10
NtRp83083
(dp83084
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83085
(dp83086
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83087
(dp83088
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-g1-6b_1940-2011_rev01
p83089
sbNNtp83090
a(g8
(g9
g10
NtRp83091
(dp83092
g13
Nsg14
Nsg15
V79ff3c28-2f7a-4b1f-9bcd-9958bd93a1d0
p83093
sbNg8
(g9
g10
NtRp83094
(dp83095
g13
Nsg14
Nsg15
VEUNIS habitat type F5.2, predicted habitat suitability - version 1, June 2016
p83096
sbNNNNNg8
(g9
g10
NtRp83097
(dp83098
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
p83099
sbg8
(g23
g10
NtRp83100
(dp83101
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83102
sbNg8
(g9
g10
NtRp83103
(dp83104
g13
Nsg14
Nsg15
VFALSE
p83105
sbNNNg8
(g9
g10
NtRp83106
(dp83107
g13
Nsg14
Nsg15
VFALSE
p83108
sbNNg8
(g9
g10
NtRp83109
(dp83110
g13
Nsg14
Nsg15
VFALSE
p83111
sbNNg8
(g9
g10
NtRp83112
(dp83113
g13
Nsg14
Nsg15
VFALSE
p83114
sbNg8
(g9
g10
NtRp83115
(dp83116
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_heath_bg_ed1.png
p83117
sbg8
(g9
g10
NtRp83118
(dp83119
g13
Nsg14
Nsg15
VEPSG:3035
p83120
sbg8
(g9
g10
NtRp83121
(dp83122
g13
Nsg14
Nsg15
V2019-06-04
p83123
sbNg8
(g9
g10
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 894\u000aRegularized training gain: 1.2056\u000aUnregularized training gain: 1.2932\u000aIterations: 500\u000aTraining AUC: 0.896\u000a#Test samples: 99\u000aTest gain: 1.2505\u000aTest AUC: 0.8916\u000aAUC Standard Deviation: 0.0095\u000a#Background points: 5563\u000abio_12_etrs2_ras contribution: 0.7252\u000abio_15_etrs2_ras contribution: 7.0148\u000abio_18_etrs2_ras contribution: 43.1301\u000abio_4_etrs2_ras contribution: 2.3359\u000abio_8_etrs2_ras contribution: 1.0568\u000abld_m_sd1_1km_eu_ll contribution: 0.7121\u000acecsum_m_sd1_1km_eu_ll contribution: 2.3304\u000aclyppt_m_sd1_1km_eu_ll contribution: 15.6443\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.1013\u000adist2water1km contribution: 1.3011\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.0934\u000apet_he_yr contribution: 19.0313\u000asltppt_m_sd1_1km_eu_ll contribution: 5.0247\u000asndppt_m_sd1_1km_eu_ll contribution: 0.3943\u000asolar_1km contribution: 0.1041\u000abio_12_etrs2_ras permutation importance: 2.1861\u000abio_15_etrs2_ras permutation importance: 12.6142\u000abio_18_etrs2_ras permutation importance: 18.111\u000abio_4_etrs2_ras permutation importance: 2.3407\u000abio_8_etrs2_ras permutation importance: 3.9781\u000abld_m_sd1_1km_eu_ll permutation importance: 8.0687\u000acecsum_m_sd1_1km_eu_ll permutation importance: 3.532\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 7.098\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.7357\u000adist2water1km permutation importance: 0.6488\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 2.4227\u000apet_he_yr permutation importance: 29.9998\u000asltppt_m_sd1_1km_eu_ll permutation importance: 5.6409\u000asndppt_m_sd1_1km_eu_ll permutation importance: 2.0732\u000asolar_1km permutation importance: 0.5502\u000aTraining gain without bio_12_etrs2_ras: 1.2013\u000aTraining gain without bio_15_etrs2_ras: 1.1892\u000aTraining gain without bio_18_etrs2_ras: 1.1859\u000aTraining gain without bio_4_etrs2_ras: 1.2008\u000aTraining gain without bio_8_etrs2_ras: 1.1979\u000aTraining gain without bld_m_sd1_1km_eu_ll: 1.1995\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 1.202\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 1.1984\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 1.2033\u000aTraining gain without dist2water1km: 1.2037\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.1999\u000aTraining gain without pet_he_yr: 1.1832\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 1.1943\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 1.2018\u000aTraining gain without solar_1km: 1.2056\u000aTraining gain with only bio_12_etrs2_ras: 0.1618\u000aTraining gain with only bio_15_etrs2_ras: 0.5217\u000aTraining gain with only bio_18_etrs2_ras: 0.8223\u000aTraining gain with only bio_4_etrs2_ras: 0.245\u000aTraining gain with only bio_8_etrs2_ras: 0.3212\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.5661\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.2921\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.6441\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.147\u000aTraining gain with only dist2water1km: 0.1292\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1302\u000aTraining gain with only pet_he_yr: 0.6664\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.3591\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.2585\u000aTraining gain with only solar_1km: 0.1527\u000aTest gain without bio_12_etrs2_ras: 1.2349\u000aTest gain without bio_15_etrs2_ras: 1.2059\u000aTest gain without bio_18_etrs2_ras: 1.26\u000aTest gain without bio_4_etrs2_ras: 1.255\u000aTest gain without bio_8_etrs2_ras: 1.2379\u000aTest gain without bld_m_sd1_1km_eu_ll: 1.2625\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 1.2524\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.2543\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.2543\u000aTest gain without dist2water1km: 1.2694\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.2495\u000aTest gain without pet_he_yr: 1.1884\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.2264\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.2511\u000aTest gain without solar_1km: 1.254\u000aTest gain with only bio_12_etrs2_ras: 0.1303\u000aTest gain with only bio_15_etrs2_ras: 0.4661\u000aTest gain with only bio_18_etrs2_ras: 0.6402\u000aTest gain with only bio_4_etrs2_ras: 0.2172\u000aTest gain with only bio_8_etrs2_ras: 0.4028\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.4662\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.2434\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7091\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2077\u000aTest gain with only dist2water1km: 0.0871\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0485\u000aTest gain with only pet_he_yr: 0.7167\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3823\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.3553\u000aTest gain with only solar_1km: 0.1306\u000aAUC without bio_12_etrs2_ras: 0.8895\u000aAUC without bio_15_etrs2_ras: 0.8869\u000aAUC without bio_18_etrs2_ras: 0.8931\u000aAUC without bio_4_etrs2_ras: 0.8923\u000aAUC without bio_8_etrs2_ras: 0.8896\u000aAUC without bld_m_sd1_1km_eu_ll: 0.893\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.8919\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.892\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.8913\u000aAUC without dist2water1km: 0.8934\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.8913\u000aAUC without pet_he_yr: 0.8857\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.8887\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.8922\u000aAUC without solar_1km: 0.8923\u000aAUC with only bio_12_etrs2_ras: 0.6278\u000aAUC with only bio_15_etrs2_ras: 0.7562\u000aAUC with only bio_18_etrs2_ras: 0.8011\u000aAUC with only bio_4_etrs2_ras: 0.6683\u000aAUC with only bio_8_etrs2_ras: 0.7503\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.7591\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.6912\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.8184\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6774\u000aAUC with only dist2water1km: 0.5777\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6044\u000aAUC with only pet_he_yr: 0.8029\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7402\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.7368\u000aAUC with only solar_1km: 0.6264\u000aEntropy: 7.4257\u000aPrevalence (average of logistic output over background sites): 0.1471\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0298\u000aFixed cumulative value 1 area: 0.4228\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.52E-31\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1808\u000aFixed cumulative value 5 area: 0.2986\u000aFixed cumulative value 5 training omission: 0.0201\u000aFixed cumulative value 5 test omission: 0.0404\u000aFixed cumulative value 5 binomial probability: 3.89E-47\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2718\u000aFixed cumulative value 10 area: 0.2468\u000aFixed cumulative value 10 training omission: 0.0738\u000aFixed cumulative value 10 test omission: 0.1111\u000aFixed cumulative value 10 binomial probability: 5.65E-50\u000aMinimum training presence cumulative threshold: 1.4416\u000aMinimum training presence logistic threshold: 0.0469\u000aMinimum training presence area: 0.3895\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 6.50E-36\u000a10 percentile training presence cumulative threshold: 12.6367\u000a10 percentile training presence logistic threshold: 0.3032\u000a10 percentile training presence area: 0.227\u000a10 percentile training presence training omission: 0.0996\u000a10 percentile training presence test omission: 0.1414\u000a10 percentile training presence binomial probability: 3.66E-51\u000aEqual training sensitivity and specificity cumulative threshold: 20.6783\u000aEqual training sensitivity and specificity logistic threshold: 0.4018\u000aEqual training sensitivity and specificity area: 0.1821\u000aEqual training sensitivity and specificity training omission: 0.1823\u000aEqual training sensitivity and specificity test omission: 0.2222\u000aEqual training sensitivity and specificity binomial probability: 1.57E-53\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.6839\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2506\u000aMaximum training sensitivity plus specificity area: 0.258\u000aMaximum training sensitivity plus specificity training omission: 0.0548\u000aMaximum training sensitivity plus specificity test omission: 0.101\u000aMaximum training sensitivity plus specificity binomial probability: 1.92E-48\u000aEqual test sensitivity and specificity cumulative threshold: 19.3268\u000aEqual test sensitivity and specificity logistic threshold: 0.3858\u000aEqual test sensitivity and specificity area: 0.1884\u000aEqual test sensitivity and specificity training omission: 0.1667\u000aEqual test sensitivity and specificity test omission: 0.1919\u000aEqual test sensitivity and specificity binomial probability: 2.56E-56\u000aMaximum test sensitivity plus specificity cumulative threshold: 3.5748\u000aMaximum test sensitivity plus specificity logistic threshold: 0.14\u000aMaximum test sensitivity plus specificity area: 0.3212\u000aMaximum test sensitivity plus specificity training omission: 0.0089\u000aMaximum test sensitivity plus specificity test omission: 0.0101\u000aMaximum test sensitivity plus specificity binomial probability: 2.30E-46\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.277\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0842\u000aBalance training omission, predicted area and threshold value area: 0.3525\u000aBalance training omission, predicted area and threshold value training omission: 0.0022\u000aBalance training omission, predicted area and threshold value test omission: 0.0101\u000aBalance training omission, predicted area and threshold value binomial probability: 1.63E-40\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.7895\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1753\u000aEquate entropy of thresholded and original distributions area: 0.3016\u000aEquate entropy of thresholded and original distributions training omission: 0.0179\u000aEquate entropy of thresholded and original distributions test omission: 0.0404\u000aEquate entropy of thresholded and original distributions binomial probability: 1.84E-46
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 145\u000aRegularized training gain: 1.7141\u000aUnregularized training gain: 2.1221\u000aIterations: 500\u000aTraining AUC: 0.9574\u000a#Test samples: 16\u000aTest gain: 1.5508\u000aTest AUC: 0.9256\u000aAUC Standard Deviation: 0.0169\u000a#Background points: 5145\u000abio_12_etrs2_ras contribution: 0.7647\u000abio_15_etrs2_ras contribution: 0.954\u000abio_18_etrs2_ras contribution: 6.175\u000abio_4_etrs2_ras contribution: 42.3336\u000abio_8_etrs2_ras contribution: 0.1205\u000abld_m_sd1_1km_eu_ll contribution: 1.0246\u000acecsum_m_sd1_1km_eu_ll contribution: 0.4204\u000aclyppt_m_sd1_1km_eu_ll contribution: 2.7162\u000acrfvol_m_sd1_1km_eu_ll contribution: 5.506\u000adist2water1km contribution: 0.0265\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.1925\u000apet_he_yr contribution: 25.6775\u000aphihox_m_sd1_1km_eu_ll contribution: 6.1546\u000asltppt_m_sd1_1km_eu_ll contribution: 0.6205\u000asndppt_m_sd1_1km_eu_ll contribution: 5.051\u000asolar_1km contribution: 1.2624\u000abio_12_etrs2_ras permutation importance: 1.1384\u000abio_15_etrs2_ras permutation importance: 1.9366\u000abio_18_etrs2_ras permutation importance: 9.0721\u000abio_4_etrs2_ras permutation importance: 47.0905\u000abio_8_etrs2_ras permutation importance: 0.0504\u000abld_m_sd1_1km_eu_ll permutation importance: 0.4373\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.7225\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 2.9661\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 7.8961\u000adist2water1km permutation importance: 0.1674\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 2.5233\u000apet_he_yr permutation importance: 20.9237\u000aphihox_m_sd1_1km_eu_ll permutation importance: 1.2589\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.629\u000asndppt_m_sd1_1km_eu_ll permutation importance: 2.6279\u000asolar_1km permutation importance: 0.5598\u000aEntropy: 6.8718\u000aPrevalence (average of logistic output over background sites): 0.0904\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0132\u000aFixed cumulative value 1 area: 0.4795\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 7.81E-06\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0799\u000aFixed cumulative value 5 area: 0.2599\u000aFixed cumulative value 5 training omission: 0.0069\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 4.32E-10\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1562\u000aFixed cumulative value 10 area: 0.1885\u000aFixed cumulative value 10 training omission: 0.0414\u000aFixed cumulative value 10 test omission: 0.0625\u000aFixed cumulative value 10 binomial probability: 1.78E-10\u000aMinimum training presence cumulative threshold: 2.3434\u000aMinimum training presence logistic threshold: 0.0294\u000aMinimum training presence area: 0.3549\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 6.34E-08\u000a10 percentile training presence cumulative threshold: 22.6075\u000a10 percentile training presence logistic threshold: 0.3087\u000a10 percentile training presence area: 0.1094\u000a10 percentile training presence training omission: 0.0966\u000a10 percentile training presence test omission: 0.3125\u000a10 percentile training presence binomial probability: 6.94E-08\u000aEqual training sensitivity and specificity cumulative threshold: 24.1214\u000aEqual training sensitivity and specificity logistic threshold: 0.329\u000aEqual training sensitivity and specificity area: 0.1034\u000aEqual training sensitivity and specificity training omission: 0.1034\u000aEqual training sensitivity and specificity test omission: 0.3125\u000aEqual training sensitivity and specificity binomial probability: 3.84E-08\u000aMaximum training sensitivity plus specificity cumulative threshold: 20.1201\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2859\u000aMaximum training sensitivity plus specificity area: 0.1205\u000aMaximum training sensitivity plus specificity training omission: 0.069\u000aMaximum training sensitivity plus specificity test omission: 0.25\u000aMaximum training sensitivity plus specificity binomial probability: 1.06E-08\u000aEqual test sensitivity and specificity cumulative threshold: 16.0628\u000aEqual test sensitivity and specificity logistic threshold: 0.2389\u000aEqual test sensitivity and specificity area: 0.1415\u000aEqual test sensitivity and specificity training omission: 0.0621\u000aEqual test sensitivity and specificity test omission: 0.125\u000aEqual test sensitivity and specificity binomial probability: 1.17E-10\u000aMaximum test sensitivity plus specificity cumulative threshold: 14.7971\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2194\u000aMaximum test sensitivity plus specificity area: 0.1495\u000aMaximum test sensitivity plus specificity training omission: 0.0621\u000aMaximum test sensitivity plus specificity test omission: 0.0625\u000aMaximum test sensitivity plus specificity binomial probability: 5.71E-12\u000aBalance training omission, predicted area and threshold value cumulative threshold: 4.4862\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0696\u000aBalance training omission, predicted area and threshold value area: 0.2719\u000aBalance training omission, predicted area and threshold value training omission: 0.0069\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 8.93E-10\u000aEquate entropy of thresholded and original distributions cumulative threshold: 10.1319\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.157\u000aEquate entropy of thresholded and original distributions area: 0.1874\u000aEquate entropy of thresholded and original distributions training omission: 0.0414\u000aEquate entropy of thresholded and original distributions test omission: 0.0625\u000aEquate entropy of thresholded and original distributions binomial probability: 1.62E-10
p83227
sbg8
(g9
g10
NtRp83228
(dp83229
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01545f45-7cf4-40c5-ba35-e4cba6b88e1c
p83230
sbg8
(g9
g10
NtRp83231
(dp83232
g13
Nsg14
g74
sg15
V1940
p83233
sbg8
(g9
g10
NtRp83234
(dp83235
g13
Nsg14
g74
sg15
V2011
p83236
sbg8
(g9
g10
NtRp83237
(dp83238
g13
Nsg14
Nsg15
VTRUE
p83239
sbg8
(g9
g10
NtRp83240
(dp83241
g13
Nsg14
Nsg15
VEurope
p83242
sbg8
(g9
g10
NtRp83243
(dp83244
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83245
sbg8
(g9
g10
NtRp83246
(dp83247
g13
Nsg14
Nsg15
VFALSE
p83248
sbg8
(g9
g10
NtRp83249
(dp83250
g13
Nsg14
Nsg15
VEuropean Environment Agency
p83251
sbg8
(g9
g10
NtRp83252
(dp83253
g13
Nsg14
Nsg15
VFALSE
p83254
sbNNNNNNNg8
(g9
g10
NtRp83255
(dp83256
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83257
(dp83258
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83259
(dp83260
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f3-1h_1940-2011_rev01
p83261
sbNNtp83262
a(g8
(g9
g10
NtRp83263
(dp83264
g13
Nsg14
Nsg15
V7b48d009-a590-4c09-9c89-e6c1dcfbddc8
p83265
sbNg8
(g9
g10
NtRp83266
(dp83267
g13
Nsg14
Nsg15
VEUNIS habitat type G3.E distribution based on vegetation plot data - version 1, Jan. 2015
p83268
sbNNNNNg8
(g9
g10
NtRp83269
(dp83270
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p83271
sbg8
(g23
g10
NtRp83272
(dp83273
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83274
sbNg8
(g9
g10
NtRp83275
(dp83276
g13
Nsg14
Nsg15
VFALSE
p83277
sbNNNg8
(g9
g10
NtRp83278
(dp83279
g13
Nsg14
Nsg15
VFALSE
p83280
sbNNg8
(g9
g10
NtRp83281
(dp83282
g13
Nsg14
Nsg15
VFALSE
p83283
sbNNg8
(g9
g10
NtRp83284
(dp83285
g13
Nsg14
Nsg15
VFALSE
p83286
sbNg8
(g9
g10
NtRp83287
(dp83288
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_dist_edt1.png
p83289
sbg8
(g9
g10
NtRp83290
(dp83291
g13
Nsg14
Nsg15
VEPSG:3035
p83292
sbg8
(g9
g10
NtRp83293
(dp83294
g13
Nsg14
Nsg15
V2019-06-04
p83295
sbNg8
(g9
g10
NtRp83296
(dp83297
g13
Nsg14
Nsg15
VHabitats and biotopes
p83298
sbg8
(g9
g10
NtRp83299
(dp83300
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p83301
sbg8
(g9
g10
NtRp83302
(dp83303
g13
Nsg14
Nsg15
Vvector
p83304
sbg8
(g9
g10
NtRp83305
(dp83306
g13
Nsg14
Nsg15
VSHP
p83307
sbNg8
(g9
g10
NtRp83308
(dp83309
g13
Nsg14
Nsg15
V1:10000000
p83310
sbNg8
(g9
g10
NtRp83311
(dp83312
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p83313
sbg8
(g9
g10
NtRp83314
(dp83315
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b48d009-a590-4c09-9c89-e6c1dcfbddc8
p83316
sbg8
(g9
g10
NtRp83317
(dp83318
g13
Nsg14
g74
sg15
V1940
p83319
sbg8
(g9
g10
NtRp83320
(dp83321
g13
Nsg14
g74
sg15
V2011
p83322
sbg8
(g9
g10
NtRp83323
(dp83324
g13
Nsg14
Nsg15
VTRUE
p83325
sbg8
(g9
g10
NtRp83326
(dp83327
g13
Nsg14
Nsg15
VEurope
p83328
sbg8
(g9
g10
NtRp83329
(dp83330
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83331
sbg8
(g9
g10
NtRp83332
(dp83333
g13
Nsg14
Nsg15
VFALSE
p83334
sbg8
(g9
g10
NtRp83335
(dp83336
g13
Nsg14
Nsg15
VEuropean Environment Agency
p83337
sbg8
(g9
g10
NtRp83338
(dp83339
g13
Nsg14
Nsg15
VFALSE
p83340
sbNNNNNNNg8
(g9
g10
NtRp83341
(dp83342
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83343
(dp83344
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83345
(dp83346
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-e_1940-2011_rev01
p83347
sbNNtp83348
a(g8
(g9
g10
NtRp83349
(dp83350
g13
Nsg14
Nsg15
V25f2e3af-7556-486a-9626-8c06b9aadfe9
p83351
sbNg8
(g9
g10
NtRp83352
(dp83353
g13
Nsg14
Nsg15
VEUNIS habitat type G1.9a, predicted distribution of habitat suitability - version 1, Jan. 2015
p83354
sbNNNNNg8
(g9
g10
NtRp83355
(dp83356
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p83357
sbg8
(g23
g10
NtRp83358
(dp83359
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83360
sbNg8
(g9
g10
NtRp83361
(dp83362
g13
Nsg14
Nsg15
VFALSE
p83363
sbNNNg8
(g9
g10
NtRp83364
(dp83365
g13
Nsg14
Nsg15
VFALSE
p83366
sbNNg8
(g9
g10
NtRp83367
(dp83368
g13
Nsg14
Nsg15
VFALSE
p83369
sbNNg8
(g9
g10
NtRp83370
(dp83371
g13
Nsg14
Nsg15
VFALSE
p83372
sbNg8
(g9
g10
NtRp83373
(dp83374
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-9a_forest_bg_ed1.png
p83375
sbg8
(g9
g10
NtRp83376
(dp83377
g13
Nsg14
Nsg15
VEPSG:3035
p83378
sbg8
(g9
g10
NtRp83379
(dp83380
g13
Nsg14
Nsg15
V2019-06-04
p83381
sbNg8
(g9
g10
NtRp83382
(dp83383
g13
Nsg14
Nsg15
VHabitats and biotopes
p83384
sbg8
(g9
g10
NtRp83385
(dp83386
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p83387
sbg8
(g9
g10
NtRp83388
(dp83389
g13
Nsg14
Nsg15
Vgrid
p83390
sbg8
(g9
g10
NtRp83391
(dp83392
g13
Nsg14
Nsg15
VAAIGrid
p83393
sbNg8
(g9
g10
NtRp83394
(dp83395
g13
Nsg14
Nsg15
V1000m
p83396
sbNg8
(g9
g10
NtRp83397
(dp83398
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 99\u000aRegularized training gain: 2.2481\u000aUnregularized training gain: 2.9579\u000aIterations: 500\u000aTraining AUC: 0.9694\u000a#Test samples: 11\u000aTest gain: 1.7022\u000aTest AUC: 0.9146\u000aAUC Standard Deviation: 0.0308\u000a#Background points: 9833\u000abio_12_etrs2_ras contribution: 8.5167\u000abio_15_etrs2_ras contribution: 9.189\u000abio_18_etrs2_ras contribution: 7.8623\u000abio_4_etrs2_ras contribution: 21.1121\u000abio_8_etrs2_ras contribution: 15.3974\u000adist2water1km contribution: 0.6898\u000apet_he_yr contribution: 25.3501\u000asoil_ph contribution: 8.7273\u000asolar_1km contribution: 3.1554\u000abio_12_etrs2_ras permutation importance: 3.9736\u000abio_15_etrs2_ras permutation importance: 9.7358\u000abio_18_etrs2_ras permutation importance: 19.4918\u000abio_4_etrs2_ras permutation importance: 10.5796\u000abio_8_etrs2_ras permutation importance: 18.263\u000adist2water1km permutation importance: 0\u000apet_he_yr permutation importance: 27.2839\u000asoil_ph permutation importance: 6.0641\u000asolar_1km permutation importance: 4.6082\u000aTraining gain without bio_12_etrs2_ras: 2.1807\u000aTraining gain without bio_15_etrs2_ras: 2.1887\u000aTraining gain without bio_18_etrs2_ras: 2.1442\u000aTraining gain without bio_4_etrs2_ras: 2.1211\u000aTraining gain without bio_8_etrs2_ras: 2.1565\u000aTraining gain without dist2water1km: 2.2355\u000aTraining gain without pet_he_yr: 2.0078\u000aTraining gain without soil_ph: 2.1652\u000aTraining gain without solar_1km: 2.2149\u000aTraining gain with only bio_12_etrs2_ras: 0.5069\u000aTraining gain with only bio_15_etrs2_ras: 0.33\u000aTraining gain with only bio_18_etrs2_ras: 0.2518\u000aTraining gain with only bio_4_etrs2_ras: 0.9333\u000aTraining gain with only bio_8_etrs2_ras: 0.5708\u000aTraining gain with only dist2water1km: 0.0473\u000aTraining gain with only pet_he_yr: 0.6878\u000aTraining gain with only soil_ph: 0.2248\u000aTraining gain with only solar_1km: 0.1627\u000aTest gain without bio_12_etrs2_ras: 1.656\u000aTest gain without bio_15_etrs2_ras: 1.4515\u000aTest gain without bio_18_etrs2_ras: 1.6262\u000aTest gain without bio_4_etrs2_ras: 1.7071\u000aTest gain without bio_8_etrs2_ras: 1.6351\u000aTest gain without dist2water1km: 1.7277\u000aTest gain without pet_he_yr: 1.6187\u000aTest gain without soil_ph: 1.4879\u000aTest gain without solar_1km: 1.7511\u000aTest gain with only bio_12_etrs2_ras: 0.5036\u000aTest gain with only bio_15_etrs2_ras: 0.4511\u000aTest gain with only bio_18_etrs2_ras: 0.1853\u000aTest gain with only bio_4_etrs2_ras: 0.8653\u000aTest gain with only bio_8_etrs2_ras: 0.3828\u000aTest gain with only dist2water1km: 0.0987\u000aTest gain with only pet_he_yr: 1.2185\u000aTest gain with only soil_ph: 0.3371\u000aTest gain with only solar_1km: 0.0119\u000aAUC without bio_12_etrs2_ras: 0.9133\u000aAUC without bio_15_etrs2_ras: 0.882\u000aAUC without bio_18_etrs2_ras: 0.9099\u000aAUC without bio_4_etrs2_ras: 0.91\u000aAUC without bio_8_etrs2_ras: 0.9006\u000aAUC without dist2water1km: 0.9187\u000aAUC without pet_he_yr: 0.9131\u000aAUC without soil_ph: 0.8801\u000aAUC without solar_1km: 0.904\u000aAUC with only bio_12_etrs2_ras: 0.6623\u000aAUC with only bio_15_etrs2_ras: 0.7424\u000aAUC with only bio_18_etrs2_ras: 0.6219\u000aAUC with only bio_4_etrs2_ras: 0.7687\u000aAUC with only bio_8_etrs2_ras: 0.7101\u000aAUC with only dist2water1km: 0.6527\u000aAUC with only pet_he_yr: 0.7435\u000aAUC with only soil_ph: 0.7257\u000aAUC with only solar_1km: 0.5614\u000aEntropy: 6.9906\u000aPrevalence (average of logistic output over background sites): 0.0525\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0065\u000aFixed cumulative value 1 area: 0.5736\u000aFixed cumulative value 1 training omission: 0.0101\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.21E-03\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0319\u000aFixed cumulative value 5 area: 0.2861\u000aFixed cumulative value 5 training omission: 0.0303\u000aFixed cumulative value 5 test omission: 0.0909\u000aFixed cumulative value 5 binomial probability: 2.99E-05\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.0693\u000aFixed cumulative value 10 area: 0.1762\u000aFixed cumulative value 10 training omission: 0.0404\u000aFixed cumulative value 10 test omission: 0.2727\u000aFixed cumulative value 10 binomial probability: 9.22E-05\u000aMinimum training presence cumulative threshold: 0.5454\u000aMinimum training presence logistic threshold: 0.0041\u000aMinimum training presence area: 0.6691\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.20E-02\u000a10 percentile training presence cumulative threshold: 20.4176\u000a10 percentile training presence logistic threshold: 0.1663\u000a10 percentile training presence area: 0.0824\u000a10 percentile training presence training omission: 0.0909\u000a10 percentile training presence test omission: 0.3636\u000a10 percentile training presence binomial probability: 6.30E-06\u000aEqual training sensitivity and specificity cumulative threshold: 20.3993\u000aEqual training sensitivity and specificity logistic threshold: 0.1662\u000aEqual training sensitivity and specificity area: 0.0825\u000aEqual training sensitivity and specificity training omission: 0.0808\u000aEqual training sensitivity and specificity test omission: 0.3636\u000aEqual training sensitivity and specificity binomial probability: 6.35E-06\u000aMaximum training sensitivity plus specificity cumulative threshold: 20.3993\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1662\u000aMaximum training sensitivity plus specificity area: 0.0825\u000aMaximum training sensitivity plus specificity training omission: 0.0808\u000aMaximum training sensitivity plus specificity test omission: 0.3636\u000aMaximum training sensitivity plus specificity binomial probability: 6.35E-06\u000aEqual test sensitivity and specificity cumulative threshold: 8.6222\u000aEqual test sensitivity and specificity logistic threshold: 0.0582\u000aEqual test sensitivity and specificity area: 0.1988\u000aEqual test sensitivity and specificity training omission: 0.0404\u000aEqual test sensitivity and specificity test omission: 0.1818\u000aEqual test sensitivity and specificity binomial probability: 1.80E-05\u000aMaximum test sensitivity plus specificity cumulative threshold: 8.543\u000aMaximum test sensitivity plus specificity logistic threshold: 0.0575\u000aMaximum test sensitivity plus specificity area: 0.2002\u000aMaximum test sensitivity plus specificity training omission: 0.0404\u000aMaximum test sensitivity plus specificity test omission: 0.0909\u000aMaximum test sensitivity plus specificity binomial probability: 9.33E-07\u000aBalance training omission, predicted area and threshold value cumulative threshold: 4.6728\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0295\u000aBalance training omission, predicted area and threshold value area: 0.2976\u000aBalance training omission, predicted area and threshold value training omission: 0.0101\u000aBalance training omission, predicted area and threshold value test omission: 0.0909\u000aBalance training omission, predicted area and threshold value binomial probability: 4.37E-05\u000aEquate entropy of thresholded and original distributions cumulative threshold: 16.1275\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1246\u000aEquate entropy of thresholded and original distributions area: 0.1104\u000aEquate entropy of thresholded and original distributions training omission: 0.0808\u000aEquate entropy of thresholded and original distributions test omission: 0.2727\u000aEquate entropy of thresholded and original distributions binomial probability: 2.68E-06
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25f2e3af-7556-486a-9626-8c06b9aadfe9
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VFALSE
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VEuropean Environment Agency
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Veea_r_3035_1_km_eunis-hab-g1-9a_1940-2011_rev01
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VEUNIS habitat type F3.1f, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_heath_bg_ed1.png
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VEPSG:3035
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V2019-06-04
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VHabitats and biotopes
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Vheathland|natural area|terrestrial ecosystem|tundra
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Vgrid
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VGTiff
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V1000m
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 109\u000aRegularized training gain: 2.7594\u000aUnregularized training gain: 3.0464\u000aIterations: 500\u000aTraining AUC: 0.9839\u000a#Test samples: 12\u000aTest gain: 2.9232\u000aTest AUC: 0.9817\u000aAUC Standard Deviation: 0.0052\u000a#Background points: 5076\u000abio_12_etrs2_ras contribution: 6.7421\u000abio_15_etrs2_ras contribution: 0.3781\u000abio_18_etrs2_ras contribution: 0.4852\u000abio_4_etrs2_ras contribution: 70.2836\u000abio_8_etrs2_ras contribution: 5.0984\u000abld_m_sd1_1km_eu_ll contribution: 0.2286\u000acecsum_m_sd1_1km_eu_ll contribution: 0.1622\u000aclyppt_m_sd1_1km_eu_ll contribution: 1.4129\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.8514\u000adist2water1km contribution: 0.3029\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.297\u000apet_he_yr contribution: 2.3728\u000asltppt_m_sd1_1km_eu_ll contribution: 4.5709\u000asndppt_m_sd1_1km_eu_ll contribution: 6.1524\u000asolar_1km contribution: 0.6615\u000abio_12_etrs2_ras permutation importance: 11.889\u000abio_15_etrs2_ras permutation importance: 0.0496\u000abio_18_etrs2_ras permutation importance: 0.5891\u000abio_4_etrs2_ras permutation importance: 66.2322\u000abio_8_etrs2_ras permutation importance: 4.3399\u000abld_m_sd1_1km_eu_ll permutation importance: 0.6349\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.3995\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.8469\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.6238\u000adist2water1km permutation importance: 1.1414\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.4085\u000apet_he_yr permutation importance: 1.4892\u000asltppt_m_sd1_1km_eu_ll permutation importance: 1.3239\u000asndppt_m_sd1_1km_eu_ll permutation importance: 6.1719\u000asolar_1km permutation importance: 1.8601\u000aTraining gain without bio_12_etrs2_ras: 2.7327\u000aTraining gain without bio_15_etrs2_ras: 2.7518\u000aTraining gain without bio_18_etrs2_ras: 2.7524\u000aTraining gain without bio_4_etrs2_ras: 2.5621\u000aTraining gain without bio_8_etrs2_ras: 2.7439\u000aTraining gain without bld_m_sd1_1km_eu_ll: 2.7514\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 2.7578\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 2.7225\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 2.7189\u000aTraining gain without dist2water1km: 2.7497\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.7517\u000aTraining gain without pet_he_yr: 2.7448\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 2.7389\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 2.7425\u000aTraining gain without solar_1km: 2.7436\u000aTraining gain with only bio_12_etrs2_ras: 0.9786\u000aTraining gain with only bio_15_etrs2_ras: 0.9218\u000aTraining gain with only bio_18_etrs2_ras: 0.3283\u000aTraining gain with only bio_4_etrs2_ras: 2.054\u000aTraining gain with only bio_8_etrs2_ras: 1.3045\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 0.4504\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.1028\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.2114\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.1734\u000aTraining gain with only dist2water1km: 0.1066\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.2888\u000aTraining gain with only pet_he_yr: 0.7941\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.649\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4522\u000aTraining gain with only solar_1km: 0.5151\u000aTest gain without bio_12_etrs2_ras: 2.8909\u000aTest gain without bio_15_etrs2_ras: 2.9212\u000aTest gain without bio_18_etrs2_ras: 2.895\u000aTest gain without bio_4_etrs2_ras: 2.6118\u000aTest gain without bio_8_etrs2_ras: 2.9407\u000aTest gain without bld_m_sd1_1km_eu_ll: 2.9381\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 2.9394\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 2.8703\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 2.8898\u000aTest gain without dist2water1km: 2.9381\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 2.891\u000aTest gain without pet_he_yr: 2.9474\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 2.8952\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 2.9728\u000aTest gain without solar_1km: 2.8867\u000aTest gain with only bio_12_etrs2_ras: 1.0421\u000aTest gain with only bio_15_etrs2_ras: 1.3433\u000aTest gain with only bio_18_etrs2_ras: 0.4686\u000aTest gain with only bio_4_etrs2_ras: 2.105\u000aTest gain with only bio_8_etrs2_ras: 1.2175\u000aTest gain with only bld_m_sd1_1km_eu_ll: 0.6922\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.2415\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.1875\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2069\u000aTest gain with only dist2water1km: 0.1381\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.3656\u000aTest gain with only pet_he_yr: 0.9902\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.6021\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.209\u000aTest gain with only solar_1km: 0.6165\u000aAUC without bio_12_etrs2_ras: 0.9815\u000aAUC without bio_15_etrs2_ras: 0.9818\u000aAUC without bio_18_etrs2_ras: 0.9816\u000aAUC without bio_4_etrs2_ras: 0.9758\u000aAUC without bio_8_etrs2_ras: 0.9823\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9819\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9824\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9813\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9813\u000aAUC without dist2water1km: 0.9821\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9815\u000aAUC without pet_he_yr: 0.9828\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9811\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9829\u000aAUC without solar_1km: 0.9816\u000aAUC with only bio_12_etrs2_ras: 0.8792\u000aAUC with only bio_15_etrs2_ras: 0.9137\u000aAUC with only bio_18_etrs2_ras: 0.746\u000aAUC with only bio_4_etrs2_ras: 0.9536\u000aAUC with only bio_8_etrs2_ras: 0.8891\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.7961\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.7165\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.6746\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6783\u000aAUC with only dist2water1km: 0.6257\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7066\u000aAUC with only pet_he_yr: 0.8761\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.7972\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.7012\u000aAUC with only solar_1km: 0.7798\u000aEntropy: 5.8029\u000aPrevalence (average of logistic output over background sites): 0.0312\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0073\u000aFixed cumulative value 1 area: 0.1582\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 2.46E-10\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0922\u000aFixed cumulative value 5 area: 0.0845\u000aFixed cumulative value 5 training omission: 0.0183\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.33E-13\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1683\u000aFixed cumulative value 10 area: 0.0621\u000aFixed cumulative value 10 training omission: 0.0275\u000aFixed cumulative value 10 test omission: 0.0833\u000aFixed cumulative value 10 binomial probability: 5.95E-13\u000aMinimum training presence cumulative threshold: 2.0814\u000aMinimum training presence logistic threshold: 0.0284\u000aMinimum training presence area: 0.1145\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.06E-12\u000a10 percentile training presence cumulative threshold: 22.8167\u000a10 percentile training presence logistic threshold: 0.3253\u000a10 percentile training presence area: 0.0357\u000a10 percentile training presence training omission: 0.0917\u000a10 percentile training presence test omission: 0.0833\u000a10 percentile training presence binomial probability: 1.38E-15\u000aEqual training sensitivity and specificity cumulative threshold: 16.7177\u000aEqual training sensitivity and specificity logistic threshold: 0.2551\u000aEqual training sensitivity and specificity area: 0.0457\u000aEqual training sensitivity and specificity training omission: 0.0459\u000aEqual training sensitivity and specificity test omission: 0.0833\u000aEqual training sensitivity and specificity binomial probability: 2.09E-14\u000aMaximum training sensitivity plus specificity cumulative threshold: 13.9822\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2194\u000aMaximum training sensitivity plus specificity area: 0.0514\u000aMaximum training sensitivity plus specificity training omission: 0.0275\u000aMaximum training sensitivity plus specificity test omission: 0.0833\u000aMaximum training sensitivity plus specificity binomial probability: 7.59E-14\u000aEqual test sensitivity and specificity cumulative threshold: 8.3494\u000aEqual test sensitivity and specificity logistic threshold: 0.1498\u000aEqual test sensitivity and specificity area: 0.0678\u000aEqual test sensitivity and specificity training omission: 0.0183\u000aEqual test sensitivity and specificity test omission: 0.0833\u000aEqual test sensitivity and specificity binomial probability: 1.56E-12\u000aMaximum test sensitivity plus specificity cumulative threshold: 8.2962\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1498\u000aMaximum test sensitivity plus specificity area: 0.0678\u000aMaximum test sensitivity plus specificity training omission: 0.0183\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 9.38E-15\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.9629\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0255\u000aBalance training omission, predicted area and threshold value area: 0.1172\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 6.73E-12\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.0677\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1566\u000aEquate entropy of thresholded and original distributions area: 0.0652\u000aEquate entropy of thresholded and original distributions training omission: 0.0275\u000aEquate entropy of thresholded and original distributions test omission: 0.0833\u000aEquate entropy of thresholded and original distributions binomial probability: 1.02E-12
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83503
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p83506
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VEuropean Environment Agency
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VFALSE
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Veea_r_3035_1_km_eunis-hab-f3-1f_1940-2011_rev01
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VEUNIS habitat type F5.3, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Bad model, because of prediction in Ireland, England, and Hungary. The reason for for this is that this habitat type has a poor relation to climatic factors.\u000a          \u000a          Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 14\u000aRegularized training gain: 1.9868\u000aUnregularized training gain: 2.5895\u000aIterations: 280\u000aTraining AUC: 0.9786\u000a#Test samples: 1\u000aTest gain: 1.8976\u000aTest AUC: 0.9577\u000aAUC Standard Deviation: -1\u000a#Background points: 5014\u000abio_12_etrs2_ras contribution: 0.7049\u000abio_15_etrs2_ras contribution: 13.3498\u000abio_18_etrs2_ras contribution: 5.0467\u000abio_4_etrs2_ras contribution: 27.2165\u000abio_8_etrs2_ras contribution: 0\u000abld_m_sd1_1km_eu_ll contribution: 0\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3314\u000aclyppt_m_sd1_1km_eu_ll contribution: 2.2254\u000acrfvol_m_sd1_1km_eu_ll contribution: 10.1288\u000adist2water1km contribution: 0\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0\u000apet_he_yr contribution: 6.334\u000aphihox_m_sd1_1km_eu_ll contribution: 11.8113\u000asltppt_m_sd1_1km_eu_ll contribution: 8.4849\u000asndppt_m_sd1_1km_eu_ll contribution: 11.1609\u000asolar_1km contribution: 3.2053\u000abio_12_etrs2_ras permutation importance: 1.046\u000abio_15_etrs2_ras permutation importance: 29.1972\u000abio_18_etrs2_ras permutation importance: 8.6671\u000abio_4_etrs2_ras permutation importance: 4.9213\u000abio_8_etrs2_ras permutation importance: 0\u000abld_m_sd1_1km_eu_ll permutation importance: 0\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.4246\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 0\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 4.0363\u000adist2water1km permutation importance: 0\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0\u000apet_he_yr permutation importance: 10.8126\u000aphihox_m_sd1_1km_eu_ll permutation importance: 0\u000asltppt_m_sd1_1km_eu_ll permutation importance: 11.2417\u000asndppt_m_sd1_1km_eu_ll permutation importance: 28.777\u000asolar_1km permutation importance: 0.8761\u000aEntropy: 6.5331\u000aPrevalence (average of logistic output over background sites): 0.0659\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0135\u000aFixed cumulative value 1 area: 0.3408\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 3.41E-01\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0734\u000aFixed cumulative value 5 area: 0.1911\u000aFixed cumulative value 5 training omission: 0\u000aFixed cumulative value 5 test omission: 0\u000aFixed cumulative value 5 binomial probability: 1.91E-01\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1523\u000aFixed cumulative value 10 area: 0.1344\u000aFixed cumulative value 10 training omission: 0\u000aFixed cumulative value 10 test omission: 0\u000aFixed cumulative value 10 binomial probability: 1.34E-01\u000aMinimum training presence cumulative threshold: 34.1041\u000aMinimum training presence logistic threshold: 0.4307\u000aMinimum training presence area: 0.0503\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.03E-02\u000a10 percentile training presence cumulative threshold: 41.8924\u000a10 percentile training presence logistic threshold: 0.5098\u000a10 percentile training presence area: 0.0383\u000a10 percentile training presence training omission: 0.0714\u000a10 percentile training presence test omission: 1\u000a10 percentile training presence binomial probability: 1.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 34.2142\u000aEqual training sensitivity and specificity logistic threshold: 0.4307\u000aEqual training sensitivity and specificity area: 0.0503\u000aEqual training sensitivity and specificity training omission: 0.0714\u000aEqual training sensitivity and specificity test omission: 0\u000aEqual training sensitivity and specificity binomial probability: 5.03E-02\u000aMaximum training sensitivity plus specificity cumulative threshold: 34.1041\u000aMaximum training sensitivity plus specificity logistic threshold: 0.4307\u000aMaximum training sensitivity plus specificity area: 0.0503\u000aMaximum training sensitivity plus specificity training omission: 0\u000aMaximum training sensitivity plus specificity test omission: 0\u000aMaximum training sensitivity plus specificity binomial probability: 5.03E-02\u000aEqual test sensitivity and specificity cumulative threshold: 39.0248\u000aEqual test sensitivity and specificity logistic threshold: 0.4777\u000aEqual test sensitivity and specificity area: 0.0423\u000aEqual test sensitivity and specificity training omission: 0.0714\u000aEqual test sensitivity and specificity test omission: 0\u000aEqual test sensitivity and specificity binomial probability: 4.23E-02\u000aMaximum test sensitivity plus specificity cumulative threshold: 39.0248\u000aMaximum test sensitivity plus specificity logistic threshold: 0.4777\u000aMaximum test sensitivity plus specificity area: 0.0423\u000aMaximum test sensitivity plus specificity training omission: 0.0714\u000aMaximum test sensitivity plus specificity test omission: 0\u000aMaximum test sensitivity plus specificity binomial probability: 4.23E-02\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.562\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0519\u000aBalance training omission, predicted area and threshold value area: 0.221\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0\u000aBalance training omission, predicted area and threshold value binomial probability: 2.21E-01\u000aEquate entropy of thresholded and original distributions cumulative threshold: 9.6718\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1474\u000aEquate entropy of thresholded and original distributions area: 0.137\u000aEquate entropy of thresholded and original distributions training omission: 0\u000aEquate entropy of thresholded and original distributions test omission: 0\u000aEquate entropy of thresholded and original distributions binomial probability: 1.37E-01
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VEUNIS habitat type G3.1c distribution based on vegetation plot data - version 1, Jan. 2015
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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g10
NtRp83771
(dp83772
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83773
(dp83774
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83775
(dp83776
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b1-5b_1940-2011_rev01
p83777
sbNNtp83778
a(g8
(g9
g10
NtRp83779
(dp83780
g13
Nsg14
Nsg15
Ve880ed9f-ca7d-4e60-b381-50024253b2ce
p83781
sbNg8
(g9
g10
NtRp83782
(dp83783
g13
Nsg14
Nsg15
VEUNIS habitat type F3.1e, predicted habitat suitability - version 1, June 2016
p83784
sbNNNNNg8
(g9
g10
NtRp83785
(dp83786
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ.\u000a          \u000a          Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.
p83787
sbg8
(g23
g10
NtRp83788
(dp83789
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83790
sbNg8
(g9
g10
NtRp83791
(dp83792
g13
Nsg14
Nsg15
VFALSE
p83793
sbNNNg8
(g9
g10
NtRp83794
(dp83795
g13
Nsg14
Nsg15
VFALSE
p83796
sbNNg8
(g9
g10
NtRp83797
(dp83798
g13
Nsg14
Nsg15
VFALSE
p83799
sbNNg8
(g9
g10
NtRp83800
(dp83801
g13
Nsg14
Nsg15
VFALSE
p83802
sbNg8
(g9
g10
NtRp83803
(dp83804
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_random_bg_ed1.png
p83805
sbg8
(g9
g10
NtRp83806
(dp83807
g13
Nsg14
Nsg15
VEPSG:3035
p83808
sbg8
(g9
g10
NtRp83809
(dp83810
g13
Nsg14
Nsg15
V2019-06-04
p83811
sbNg8
(g9
g10
NtRp83812
(dp83813
g13
Nsg14
Nsg15
VHabitats and biotopes
p83814
sbg8
(g9
g10
NtRp83815
(dp83816
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p83817
sbg8
(g9
g10
NtRp83818
(dp83819
g13
Nsg14
Nsg15
Vgrid
p83820
sbg8
(g9
g10
NtRp83821
(dp83822
g13
Nsg14
Nsg15
VGTiff
p83823
sbNg8
(g9
g10
NtRp83824
(dp83825
g13
Nsg14
Nsg15
V1000m
p83826
sbNg8
(g9
g10
NtRp83827
(dp83828
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1665\u000aRegularized training gain: 0.7057\u000aUnregularized training gain: 0.7759\u000aIterations: 500\u000aTraining AUC: 0.8197\u000a#Test samples: 185\u000aTest gain: 0.7384\u000aTest AUC: 0.8155\u000aAUC Standard Deviation: 0.0108\u000a#Background points: 6663\u000abio_12_etrs2_ras contribution: 3.2244\u000abio_15_etrs2_ras contribution: 0.8685\u000abio_18_etrs2_ras contribution: 11.9079\u000abio_4_etrs2_ras contribution: 56.5248\u000abio_8_etrs2_ras contribution: 0.9434\u000abld_m_sd1_1km_eu_ll contribution: 5.5983\u000acecsum_m_sd1_1km_eu_ll contribution: 4.2608\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.5767\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.112\u000adist2water1km contribution: 0.7498\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.1846\u000apet_he_yr contribution: 11.7472\u000aphihox_m_sd1_1km_eu_ll contribution: 1.965\u000asltppt_m_sd1_1km_eu_ll contribution: 0.2574\u000asndppt_m_sd1_1km_eu_ll contribution: 0.0726\u000asolar_1km contribution: 1.0066\u000abio_12_etrs2_ras permutation importance: 4.3068\u000abio_15_etrs2_ras permutation importance: 3.5265\u000abio_18_etrs2_ras permutation importance: 7.3009\u000abio_4_etrs2_ras permutation importance: 54.8839\u000abio_8_etrs2_ras permutation importance: 3.4455\u000abld_m_sd1_1km_eu_ll permutation importance: 3.2858\u000acecsum_m_sd1_1km_eu_ll permutation importance: 1.8059\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.6408\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0.4793\u000adist2water1km permutation importance: 0.6822\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.5076\u000apet_he_yr permutation importance: 11.8806\u000aphihox_m_sd1_1km_eu_ll permutation importance: 4.5996\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.656\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.1469\u000asolar_1km permutation importance: 0.8517\u000aEntropy: 8.1011\u000aPrevalence (average of logistic output over background sites): 0.2443\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.097\u000aFixed cumulative value 1 area: 0.5586\u000aFixed cumulative value 1 training omission: 0.003\u000aFixed cumulative value 1 test omission: 0.0162\u000aFixed cumulative value 1 binomial probability: 1.20E-31\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2449\u000aFixed cumulative value 5 area: 0.4668\u000aFixed cumulative value 5 training omission: 0.0198\u000aFixed cumulative value 5 test omission: 0.0378\u000aFixed cumulative value 5 binomial probability: 7.17E-42\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3307\u000aFixed cumulative value 10 area: 0.4057\u000aFixed cumulative value 10 training omission: 0.0637\u000aFixed cumulative value 10 test omission: 0.0649\u000aFixed cumulative value 10 binomial probability: 5.30E-49\u000aMinimum training presence cumulative threshold: 0.1629\u000aMinimum training presence logistic threshold: 0.0102\u000aMinimum training presence area: 0.6689\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.40E-22\u000a10 percentile training presence cumulative threshold: 13.9992\u000a10 percentile training presence logistic threshold: 0.3789\u000a10 percentile training presence area: 0.3698\u000a10 percentile training presence training omission: 0.0997\u000a10 percentile training presence test omission: 0.1027\u000a10 percentile training presence binomial probability: 2.90E-50\u000aEqual training sensitivity and specificity cumulative threshold: 30.0774\u000aEqual training sensitivity and specificity logistic threshold: 0.4703\u000aEqual training sensitivity and specificity area: 0.2649\u000aEqual training sensitivity and specificity training omission: 0.2649\u000aEqual training sensitivity and specificity test omission: 0.2703\u000aEqual training sensitivity and specificity binomial probability: 7.36E-47\u000aMaximum training sensitivity plus specificity cumulative threshold: 13.1789\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3716\u000aMaximum training sensitivity plus specificity area: 0.3766\u000aMaximum training sensitivity plus specificity training omission: 0.0907\u000aMaximum training sensitivity plus specificity test omission: 0.0919\u000aMaximum training sensitivity plus specificity binomial probability: 1.19E-50\u000aEqual test sensitivity and specificity cumulative threshold: 29.3532\u000aEqual test sensitivity and specificity logistic threshold: 0.468\u000aEqual test sensitivity and specificity area: 0.2689\u000aEqual test sensitivity and specificity training omission: 0.2589\u000aEqual test sensitivity and specificity test omission: 0.2703\u000aEqual test sensitivity and specificity binomial probability: 1.17E-45\u000aMaximum test sensitivity plus specificity cumulative threshold: 13.4574\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3745\u000aMaximum test sensitivity plus specificity area: 0.3742\u000aMaximum test sensitivity plus specificity training omission: 0.0949\u000aMaximum test sensitivity plus specificity test omission: 0.0919\u000aMaximum test sensitivity plus specificity binomial probability: 3.24E-51\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.1194\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1061\u000aBalance training omission, predicted area and threshold value area: 0.5534\u000aBalance training omission, predicted area and threshold value training omission: 0.003\u000aBalance training omission, predicted area and threshold value test omission: 0.0162\u000aBalance training omission, predicted area and threshold value binomial probability: 2.59E-32\u000aEquate entropy of thresholded and original distributions cumulative threshold: 3.366\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.2025\u000aEquate entropy of thresholded and original distributions area: 0.495\u000aEquate entropy of thresholded and original distributions training omission: 0.012\u000aEquate entropy of thresholded and original distributions test omission: 0.0216\u000aEquate entropy of thresholded and original distributions binomial probability: 8.43E-40
p83829
sbg8
(g9
g10
NtRp83830
(dp83831
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e880ed9f-ca7d-4e60-b381-50024253b2ce
p83832
sbg8
(g9
g10
NtRp83833
(dp83834
g13
Nsg14
g74
sg15
V1940
p83835
sbg8
(g9
g10
NtRp83836
(dp83837
g13
Nsg14
g74
sg15
V2011
p83838
sbg8
(g9
g10
NtRp83839
(dp83840
g13
Nsg14
Nsg15
VTRUE
p83841
sbg8
(g9
g10
NtRp83842
(dp83843
g13
Nsg14
Nsg15
VEurope
p83844
sbg8
(g9
g10
NtRp83845
(dp83846
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83847
sbg8
(g9
g10
NtRp83848
(dp83849
g13
Nsg14
Nsg15
VFALSE
p83850
sbg8
(g9
g10
NtRp83851
(dp83852
g13
Nsg14
Nsg15
VEuropean Environment Agency
p83853
sbg8
(g9
g10
NtRp83854
(dp83855
g13
Nsg14
Nsg15
VFALSE
p83856
sbNNNNNNNg8
(g9
g10
NtRp83857
(dp83858
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83859
(dp83860
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83861
(dp83862
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f3-1e_1940-2011_rev01
p83863
sbNNtp83864
a(g8
(g9
g10
NtRp83865
(dp83866
g13
Nsg14
Nsg15
V48c69394-8f77-4c50-8fec-0b5be1b7cbda
p83867
sbNg8
(g9
g10
NtRp83868
(dp83869
g13
Nsg14
Nsg15
VEUNIS habitat type G3.9b distribution based on vegetation plot data - version 1, Jan. 2015
p83870
sbNNNNNg8
(g9
g10
NtRp83871
(dp83872
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p83873
sbg8
(g23
g10
NtRp83874
(dp83875
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83876
sbNg8
(g9
g10
NtRp83877
(dp83878
g13
Nsg14
Nsg15
VFALSE
p83879
sbNNNg8
(g9
g10
NtRp83880
(dp83881
g13
Nsg14
Nsg15
VFALSE
p83882
sbNNg8
(g9
g10
NtRp83883
(dp83884
g13
Nsg14
Nsg15
VFALSE
p83885
sbNNg8
(g9
g10
NtRp83886
(dp83887
g13
Nsg14
Nsg15
VFALSE
p83888
sbNg8
(g9
g10
NtRp83889
(dp83890
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_dist_edt1.png
p83891
sbg8
(g9
g10
NtRp83892
(dp83893
g13
Nsg14
Nsg15
VEPSG:3035
p83894
sbg8
(g9
g10
NtRp83895
(dp83896
g13
Nsg14
Nsg15
V2019-06-04
p83897
sbNg8
(g9
g10
NtRp83898
(dp83899
g13
Nsg14
Nsg15
VHabitats and biotopes
p83900
sbg8
(g9
g10
NtRp83901
(dp83902
g13
Nsg14
Nsg15
Vforest|natural area|terrestrial ecosystem
p83903
sbg8
(g9
g10
NtRp83904
(dp83905
g13
Nsg14
Nsg15
Vvector
p83906
sbg8
(g9
g10
NtRp83907
(dp83908
g13
Nsg14
Nsg15
VSHP
p83909
sbNg8
(g9
g10
NtRp83910
(dp83911
g13
Nsg14
Nsg15
V1:10000000
p83912
sbNg8
(g9
g10
NtRp83913
(dp83914
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).
p83915
sbg8
(g9
g10
NtRp83916
(dp83917
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48c69394-8f77-4c50-8fec-0b5be1b7cbda
p83918
sbg8
(g9
g10
NtRp83919
(dp83920
g13
Nsg14
g74
sg15
V1940
p83921
sbg8
(g9
g10
NtRp83922
(dp83923
g13
Nsg14
g74
sg15
V2011
p83924
sbg8
(g9
g10
NtRp83925
(dp83926
g13
Nsg14
Nsg15
VTRUE
p83927
sbg8
(g9
g10
NtRp83928
(dp83929
g13
Nsg14
Nsg15
VEurope
p83930
sbg8
(g9
g10
NtRp83931
(dp83932
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p83933
sbg8
(g9
g10
NtRp83934
(dp83935
g13
Nsg14
Nsg15
VFALSE
p83936
sbg8
(g9
g10
NtRp83937
(dp83938
g13
Nsg14
Nsg15
VEuropean Environment Agency
p83939
sbg8
(g9
g10
NtRp83940
(dp83941
g13
Nsg14
Nsg15
VFALSE
p83942
sbNNNNNNNg8
(g9
g10
NtRp83943
(dp83944
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp83945
(dp83946
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp83947
(dp83948
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-g3-9b_1940-2011_rev01
p83949
sbNNtp83950
a(g8
(g9
g10
NtRp83951
(dp83952
g13
Nsg14
Nsg15
Vd816101f-bcc8-4bf1-8a46-6a1132db6bd9
p83953
sbNg8
(g9
g10
NtRp83954
(dp83955
g13
Nsg14
Nsg15
VEUNIS habitat type F9-2 distribution based on vegetation plot data - version 1, June 2016
p83956
sbNNNNNg8
(g9
g10
NtRp83957
(dp83958
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p83959
sbg8
(g23
g10
NtRp83960
(dp83961
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p83962
sbNg8
(g9
g10
NtRp83963
(dp83964
g13
Nsg14
Nsg15
VFALSE
p83965
sbNNNg8
(g9
g10
NtRp83966
(dp83967
g13
Nsg14
Nsg15
VFALSE
p83968
sbNNg8
(g9
g10
NtRp83969
(dp83970
g13
Nsg14
Nsg15
VFALSE
p83971
sbNNg8
(g9
g10
NtRp83972
(dp83973
g13
Nsg14
Nsg15
VFALSE
p83974
sbNg8
(g9
g10
NtRp83975
(dp83976
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_dist_edt1.png
p83977
sbg8
(g9
g10
NtRp83978
(dp83979
g13
Nsg14
Nsg15
VEPSG:3035
p83980
sbg8
(g9
g10
NtRp83981
(dp83982
g13
Nsg14
Nsg15
V2019-06-04
p83983
sbNg8
(g9
g10
NtRp83984
(dp83985
g13
Nsg14
Nsg15
VHabitats and biotopes
p83986
sbg8
(g9
g10
NtRp83987
(dp83988
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p83989
sbg8
(g9
g10
NtRp83990
(dp83991
g13
Nsg14
Nsg15
Vvector
p83992
sbg8
(g9
g10
NtRp83993
(dp83994
g13
Nsg14
Nsg15
VSHP
p83995
sbNg8
(g9
g10
NtRp83996
(dp83997
g13
Nsg14
Nsg15
V1:10000000
p83998
sbNg8
(g9
g10
NtRp83999
(dp84000
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p84001
sbg8
(g9
g10
NtRp84002
(dp84003
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d816101f-bcc8-4bf1-8a46-6a1132db6bd9
p84004
sbg8
(g9
g10
NtRp84005
(dp84006
g13
Nsg14
g74
sg15
V1940
p84007
sbg8
(g9
g10
NtRp84008
(dp84009
g13
Nsg14
g74
sg15
V2011
p84010
sbg8
(g9
g10
NtRp84011
(dp84012
g13
Nsg14
Nsg15
VTRUE
p84013
sbg8
(g9
g10
NtRp84014
(dp84015
g13
Nsg14
Nsg15
VEurope
p84016
sbg8
(g9
g10
NtRp84017
(dp84018
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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VFALSE
p84028
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V
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Veea_v_3035_10_mio_eunis-hab-f9-2_1940-2011_rev01
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VEUNIS habitat type G3.1b, predicted distribution of habitat suitability - version 1, Jan. 2015
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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p84063
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VEPSG:3035
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V2019-06-04
p84069
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VHabitats and biotopes
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Vforest|natural area|terrestrial ecosystem
p84075
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Vgrid
p84078
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VAAIGrid
p84081
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p84084
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1627\u000aRegularized training gain: 1.2946\u000aUnregularized training gain: 1.3737\u000aIterations: 500\u000aTraining AUC: 0.9028\u000a#Test samples: 180\u000aTest gain: 1.3927\u000aTest AUC: 0.9051\u000aAUC Standard Deviation: 0.0058\u000a#Background points: 11626\u000abio_12_etrs2_ras contribution: 14.8453\u000abio_15_etrs2_ras contribution: 1.027\u000abio_18_etrs2_ras contribution: 31.3979\u000abio_4_etrs2_ras contribution: 34.5811\u000abio_8_etrs2_ras contribution: 0.3405\u000adist2water1km contribution: 0.1393\u000apet_he_yr contribution: 15.594\u000asoil_ph contribution: 0.0413\u000asolar_1km contribution: 2.0337\u000abio_12_etrs2_ras permutation importance: 15.8003\u000abio_15_etrs2_ras permutation importance: 2.7581\u000abio_18_etrs2_ras permutation importance: 4.1195\u000abio_4_etrs2_ras permutation importance: 55.6989\u000abio_8_etrs2_ras permutation importance: 0.8212\u000adist2water1km permutation importance: 0.5725\u000apet_he_yr permutation importance: 18.211\u000asoil_ph permutation importance: 0.1923\u000asolar_1km permutation importance: 1.8263\u000aEntropy: 8.0661\u000aPrevalence (average of logistic output over background sites): 0.1329\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0387\u000aFixed cumulative value 1 area: 0.3896\u000aFixed cumulative value 1 training omission: 0.0025\u000aFixed cumulative value 1 test omission: 0\u000aFixed cumulative value 1 binomial probability: 1.40E-63\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1437\u000aFixed cumulative value 5 area: 0.2728\u000aFixed cumulative value 5 training omission: 0.016\u000aFixed cumulative value 5 test omission: 0.0333\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2555\u000aFixed cumulative value 10 area: 0.2165\u000aFixed cumulative value 10 training omission: 0.0645\u000aFixed cumulative value 10 test omission: 0.0722\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0092\u000aMinimum training presence logistic threshold: 0.0005\u000aMinimum training presence area: 0.8119\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 5.31E-11\u000a10 percentile training presence cumulative threshold: 13.6057\u000a10 percentile training presence logistic threshold: 0.3195\u000a10 percentile training presence area: 0.1924\u000a10 percentile training presence training omission: 0.0996\u000a10 percentile training presence test omission: 0.0944\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 19.376\u000aEqual training sensitivity and specificity logistic threshold: 0.4008\u000aEqual training sensitivity and specificity area: 0.1645\u000aEqual training sensitivity and specificity training omission: 0.1647\u000aEqual training sensitivity and specificity test omission: 0.1278\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.312\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2172\u000aMaximum training sensitivity plus specificity area: 0.2315\u000aMaximum training sensitivity plus specificity training omission: 0.0412\u000aMaximum training sensitivity plus specificity test omission: 0.0667\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 21.6878\u000aEqual test sensitivity and specificity logistic threshold: 0.425\u000aEqual test sensitivity and specificity area: 0.1555\u000aEqual test sensitivity and specificity training omission: 0.1961\u000aEqual test sensitivity and specificity test omission: 0.1556\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 17.8392\u000aMaximum test sensitivity plus specificity logistic threshold: 0.381\u000aMaximum test sensitivity plus specificity area: 0.171\u000aMaximum test sensitivity plus specificity training omission: 0.1457\u000aMaximum test sensitivity plus specificity test omission: 0.1\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.8658\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0695\u000aBalance training omission, predicted area and threshold value area: 0.3469\u000aBalance training omission, predicted area and threshold value training omission: 0.0043\u000aBalance training omission, predicted area and threshold value test omission: 0.0056\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.9421\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1423\u000aEquate entropy of thresholded and original distributions area: 0.2739\u000aEquate entropy of thresholded and original distributions training omission: 0.016\u000aEquate entropy of thresholded and original distributions test omission: 0.0333\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4ca03c76-f9be-4886-9c96-38b309f6a11a
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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p84114
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Veea_r_3035_1_km_eunis-hab-g3-1b_1940-2011_rev01
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p84125
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VEUNIS habitat type F6.8a, predicted habitat suitability - version 1, June 2016
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VEPSG:3035
p84152
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V2019-06-04
p84155
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VGTiff
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V1000m
p84170
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 62\u000aRegularized training gain: 2.5337\u000aUnregularized training gain: 2.895\u000aIterations: 500\u000aTraining AUC: 0.9759\u000a#Test samples: 6\u000aTest gain: 1.9924\u000aTest AUC: 0.911\u000aAUC Standard Deviation: 0.0701\u000a#Background points: 5043\u000abio_12_etrs2_ras contribution: 6.3801\u000abio_15_etrs2_ras contribution: 3.2556\u000abio_18_etrs2_ras contribution: 16.0861\u000abio_4_etrs2_ras contribution: 3.4085\u000abio_8_etrs2_ras contribution: 2.8701\u000abld_m_sd1_1km_eu_ll contribution: 3.8742\u000acecsum_m_sd1_1km_eu_ll contribution: 0.3583\u000aclyppt_m_sd1_1km_eu_ll contribution: 9.1065\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.0369\u000adist2water1km contribution: 0.5444\u000aorcdrc_m_sd1_1km_eu_ll contribution: 14.3859\u000apet_he_yr contribution: 39.1685\u000asltppt_m_sd1_1km_eu_ll contribution: 0.3013\u000asndppt_m_sd1_1km_eu_ll contribution: 0.2237\u000asolar_1km contribution: 0\u000abio_12_etrs2_ras permutation importance: 1.4553\u000abio_15_etrs2_ras permutation importance: 4.6929\u000abio_18_etrs2_ras permutation importance: 66.9819\u000abio_4_etrs2_ras permutation importance: 1.021\u000abio_8_etrs2_ras permutation importance: 4.512\u000abld_m_sd1_1km_eu_ll permutation importance: 0.4252\u000acecsum_m_sd1_1km_eu_ll permutation importance: 1.0774\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 9.6844\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 0\u000adist2water1km permutation importance: 0.5658\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 1.4233\u000apet_he_yr permutation importance: 1.2228\u000asltppt_m_sd1_1km_eu_ll permutation importance: 6.5177\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.4204\u000asolar_1km permutation importance: 0\u000aTraining gain without bio_12_etrs2_ras: 2.5336\u000aTraining gain without bio_15_etrs2_ras: 2.4716\u000aTraining gain without bio_18_etrs2_ras: 2.4615\u000aTraining gain without bio_4_etrs2_ras: 2.5174\u000aTraining gain without bio_8_etrs2_ras: 2.4977\u000aTraining gain without bld_m_sd1_1km_eu_ll: 2.5259\u000aTraining gain without cecsum_m_sd1_1km_eu_ll: 2.5105\u000aTraining gain without clyppt_m_sd1_1km_eu_ll: 2.4806\u000aTraining gain without crfvol_m_sd1_1km_eu_ll: 2.5297\u000aTraining gain without dist2water1km: 2.5232\u000aTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.507\u000aTraining gain without pet_he_yr: 2.531\u000aTraining gain without sltppt_m_sd1_1km_eu_ll: 2.5166\u000aTraining gain without sndppt_m_sd1_1km_eu_ll: 2.5157\u000aTraining gain without solar_1km: 2.538\u000aTraining gain with only bio_12_etrs2_ras: 1.1405\u000aTraining gain with only bio_15_etrs2_ras: 0.5535\u000aTraining gain with only bio_18_etrs2_ras: 1.5715\u000aTraining gain with only bio_4_etrs2_ras: 0.4312\u000aTraining gain with only bio_8_etrs2_ras: 0.2887\u000aTraining gain with only bld_m_sd1_1km_eu_ll: 1.6367\u000aTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.267\u000aTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.8249\u000aTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.4017\u000aTraining gain with only dist2water1km: 0.0393\u000aTraining gain with only orcdrc_m_sd1_1km_eu_ll: 1.0898\u000aTraining gain with only pet_he_yr: 1.8273\u000aTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2561\u000aTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4928\u000aTraining gain with only solar_1km: 0.217\u000aTest gain without bio_12_etrs2_ras: 2.0403\u000aTest gain without bio_15_etrs2_ras: 2.1408\u000aTest gain without bio_18_etrs2_ras: 1.9313\u000aTest gain without bio_4_etrs2_ras: 1.8717\u000aTest gain without bio_8_etrs2_ras: 2.0972\u000aTest gain without bld_m_sd1_1km_eu_ll: 2.1033\u000aTest gain without cecsum_m_sd1_1km_eu_ll: 2.0316\u000aTest gain without clyppt_m_sd1_1km_eu_ll: 1.8957\u000aTest gain without crfvol_m_sd1_1km_eu_ll: 1.9728\u000aTest gain without dist2water1km: 1.9991\u000aTest gain without orcdrc_m_sd1_1km_eu_ll: 1.9508\u000aTest gain without pet_he_yr: 1.968\u000aTest gain without sltppt_m_sd1_1km_eu_ll: 1.9584\u000aTest gain without sndppt_m_sd1_1km_eu_ll: 1.9617\u000aTest gain without solar_1km: 2.0117\u000aTest gain with only bio_12_etrs2_ras: 1.0569\u000aTest gain with only bio_15_etrs2_ras: 0.3347\u000aTest gain with only bio_18_etrs2_ras: 1.4122\u000aTest gain with only bio_4_etrs2_ras: 0.4442\u000aTest gain with only bio_8_etrs2_ras: 0.4373\u000aTest gain with only bld_m_sd1_1km_eu_ll: 1.0035\u000aTest gain with only cecsum_m_sd1_1km_eu_ll: 0.4234\u000aTest gain with only clyppt_m_sd1_1km_eu_ll: 0.8272\u000aTest gain with only crfvol_m_sd1_1km_eu_ll: 0.0243\u000aTest gain with only dist2water1km: 0.0249\u000aTest gain with only orcdrc_m_sd1_1km_eu_ll: 1.2319\u000aTest gain with only pet_he_yr: 1.5559\u000aTest gain with only sltppt_m_sd1_1km_eu_ll: 0.2031\u000aTest gain with only sndppt_m_sd1_1km_eu_ll: 0.177\u000aTest gain with only solar_1km: 0.2118\u000aAUC without bio_12_etrs2_ras: 0.912\u000aAUC without bio_15_etrs2_ras: 0.9208\u000aAUC without bio_18_etrs2_ras: 0.9179\u000aAUC without bio_4_etrs2_ras: 0.9046\u000aAUC without bio_8_etrs2_ras: 0.9215\u000aAUC without bld_m_sd1_1km_eu_ll: 0.9142\u000aAUC without cecsum_m_sd1_1km_eu_ll: 0.9123\u000aAUC without clyppt_m_sd1_1km_eu_ll: 0.9131\u000aAUC without crfvol_m_sd1_1km_eu_ll: 0.9131\u000aAUC without dist2water1km: 0.9139\u000aAUC without orcdrc_m_sd1_1km_eu_ll: 0.9108\u000aAUC without pet_he_yr: 0.912\u000aAUC without sltppt_m_sd1_1km_eu_ll: 0.9093\u000aAUC without sndppt_m_sd1_1km_eu_ll: 0.9078\u000aAUC without solar_1km: 0.9121\u000aAUC with only bio_12_etrs2_ras: 0.8335\u000aAUC with only bio_15_etrs2_ras: 0.7373\u000aAUC with only bio_18_etrs2_ras: 0.8725\u000aAUC with only bio_4_etrs2_ras: 0.7556\u000aAUC with only bio_8_etrs2_ras: 0.7228\u000aAUC with only bld_m_sd1_1km_eu_ll: 0.8745\u000aAUC with only cecsum_m_sd1_1km_eu_ll: 0.7477\u000aAUC with only clyppt_m_sd1_1km_eu_ll: 0.8496\u000aAUC with only crfvol_m_sd1_1km_eu_ll: 0.6508\u000aAUC with only dist2water1km: 0.5773\u000aAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7936\u000aAUC with only pet_he_yr: 0.9088\u000aAUC with only sltppt_m_sd1_1km_eu_ll: 0.6383\u000aAUC with only sndppt_m_sd1_1km_eu_ll: 0.6382\u000aAUC with only solar_1km: 0.6303\u000aEntropy: 6.0229\u000aPrevalence (average of logistic output over background sites): 0.0388\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0079\u000aFixed cumulative value 1 area: 0.3056\u000aFixed cumulative value 1 training omission: 0.0161\u000aFixed cumulative value 1 test omission: 0.1667\u000aFixed cumulative value 1 binomial probability: 1.19E-02\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0483\u000aFixed cumulative value 5 area: 0.1503\u000aFixed cumulative value 5 training omission: 0.0161\u000aFixed cumulative value 5 test omission: 0.1667\u000aFixed cumulative value 5 binomial probability: 4.03E-04\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1037\u000aFixed cumulative value 10 area: 0.0974\u000aFixed cumulative value 10 training omission: 0.0323\u000aFixed cumulative value 10 test omission: 0.1667\u000aFixed cumulative value 10 binomial probability: 4.82E-05\u000aMinimum training presence cumulative threshold: 0.2129\u000aMinimum training presence logistic threshold: 0.0017\u000aMinimum training presence area: 0.4727\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 1.12E-02\u000a10 percentile training presence cumulative threshold: 26.2915\u000a10 percentile training presence logistic threshold: 0.2985\u000a10 percentile training presence area: 0.0403\u000a10 percentile training presence training omission: 0.0968\u000a10 percentile training presence test omission: 0.1667\u000a10 percentile training presence binomial probability: 6.13E-07\u000aEqual training sensitivity and specificity cumulative threshold: 16.811\u000aEqual training sensitivity and specificity logistic threshold: 0.1974\u000aEqual training sensitivity and specificity area: 0.0644\u000aEqual training sensitivity and specificity training omission: 0.0645\u000aEqual training sensitivity and specificity test omission: 0.1667\u000aEqual training sensitivity and specificity binomial probability: 6.31E-06\u000aMaximum training sensitivity plus specificity cumulative threshold: 14.3848\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1627\u000aMaximum training sensitivity plus specificity area: 0.0732\u000aMaximum training sensitivity plus specificity training omission: 0.0323\u000aMaximum training sensitivity plus specificity test omission: 0.1667\u000aMaximum training sensitivity plus specificity binomial probability: 1.18E-05\u000aEqual test sensitivity and specificity cumulative threshold: 4.1619\u000aEqual test sensitivity and specificity logistic threshold: 0.0362\u000aEqual test sensitivity and specificity area: 0.1666\u000aEqual test sensitivity and specificity training omission: 0.0161\u000aEqual test sensitivity and specificity test omission: 0.1667\u000aEqual test sensitivity and specificity binomial probability: 6.62E-04\u000aMaximum test sensitivity plus specificity cumulative threshold: 30.1379\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3359\u000aMaximum test sensitivity plus specificity area: 0.0335\u000aMaximum test sensitivity plus specificity training omission: 0.1613\u000aMaximum test sensitivity plus specificity test omission: 0.1667\u000aMaximum test sensitivity plus specificity binomial probability: 2.47E-07\u000aBalance training omission, predicted area and threshold value cumulative threshold: 3.7219\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0316\u000aBalance training omission, predicted area and threshold value area: 0.1769\u000aBalance training omission, predicted area and threshold value training omission: 0.0161\u000aBalance training omission, predicted area and threshold value test omission: 0.1667\u000aBalance training omission, predicted area and threshold value binomial probability: 8.86E-04\u000aEquate entropy of thresholded and original distributions cumulative threshold: 12.6664\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1383\u000aEquate entropy of thresholded and original distributions area: 0.0813\u000aEquate entropy of thresholded and original distributions training omission: 0.0323\u000aEquate entropy of thresholded and original distributions test omission: 0.1667\u000aEquate entropy of thresholded and original distributions binomial probability: 1.99E-05
p84173
sbg8
(g9
g10
NtRp84174
(dp84175
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/186b79ed-f69d-441f-9ace-240219fedfd1
p84176
sbg8
(g9
g10
NtRp84177
(dp84178
g13
Nsg14
g74
sg15
V1940
p84179
sbg8
(g9
g10
NtRp84180
(dp84181
g13
Nsg14
g74
sg15
V2011
p84182
sbg8
(g9
g10
NtRp84183
(dp84184
g13
Nsg14
Nsg15
VTRUE
p84185
sbg8
(g9
g10
NtRp84186
(dp84187
g13
Nsg14
Nsg15
VEurope
p84188
sbg8
(g9
g10
NtRp84189
(dp84190
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84191
sbg8
(g9
g10
NtRp84192
(dp84193
g13
Nsg14
Nsg15
VFALSE
p84194
sbg8
(g9
g10
NtRp84195
(dp84196
g13
Nsg14
Nsg15
VEuropean Environment Agency
p84197
sbg8
(g9
g10
NtRp84198
(dp84199
g13
Nsg14
Nsg15
VFALSE
p84200
sbNNNNNNNg8
(g9
g10
NtRp84201
(dp84202
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp84203
(dp84204
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp84205
(dp84206
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f6-8a_1940-2011_rev01
p84207
sbNNtp84208
a(g8
(g9
g10
NtRp84209
(dp84210
g13
Nsg14
Nsg15
V28b7c432-36be-444b-9b76-bb7839f6202a
p84211
sbNg8
(g9
g10
NtRp84212
(dp84213
g13
Nsg14
Nsg15
VEUNIS habitat type F5-2 distribution based on vegetation plot data - version 1, June 2016
p84214
sbNNNNNg8
(g9
g10
NtRp84215
(dp84216
g13
Nsg14
Nsg15
VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p84217
sbg8
(g23
g10
NtRp84218
(dp84219
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p84220
sbNg8
(g9
g10
NtRp84221
(dp84222
g13
Nsg14
Nsg15
VFALSE
p84223
sbNNNg8
(g9
g10
NtRp84224
(dp84225
g13
Nsg14
Nsg15
VFALSE
p84226
sbNNg8
(g9
g10
NtRp84227
(dp84228
g13
Nsg14
Nsg15
VFALSE
p84229
sbNNg8
(g9
g10
NtRp84230
(dp84231
g13
Nsg14
Nsg15
VFALSE
p84232
sbNg8
(g9
g10
NtRp84233
(dp84234
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_dist_edt1.png
p84235
sbg8
(g9
g10
NtRp84236
(dp84237
g13
Nsg14
Nsg15
VEPSG:3035
p84238
sbg8
(g9
g10
NtRp84239
(dp84240
g13
Nsg14
Nsg15
V2019-06-04
p84241
sbNg8
(g9
g10
NtRp84242
(dp84243
g13
Nsg14
Nsg15
VHabitats and biotopes
p84244
sbg8
(g9
g10
NtRp84245
(dp84246
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p84247
sbg8
(g9
g10
NtRp84248
(dp84249
g13
Nsg14
Nsg15
Vvector
p84250
sbg8
(g9
g10
NtRp84251
(dp84252
g13
Nsg14
Nsg15
VSHP
p84253
sbNg8
(g9
g10
NtRp84254
(dp84255
g13
Nsg14
Nsg15
V1:10000000
p84256
sbNg8
(g9
g10
NtRp84257
(dp84258
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p84259
sbg8
(g9
g10
NtRp84260
(dp84261
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b7c432-36be-444b-9b76-bb7839f6202a
p84262
sbg8
(g9
g10
NtRp84263
(dp84264
g13
Nsg14
g74
sg15
V1940
p84265
sbg8
(g9
g10
NtRp84266
(dp84267
g13
Nsg14
g74
sg15
V2011
p84268
sbg8
(g9
g10
NtRp84269
(dp84270
g13
Nsg14
Nsg15
VTRUE
p84271
sbg8
(g9
g10
NtRp84272
(dp84273
g13
Nsg14
Nsg15
VEurope
p84274
sbg8
(g9
g10
NtRp84275
(dp84276
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84277
sbg8
(g9
g10
NtRp84278
(dp84279
g13
Nsg14
Nsg15
VFALSE
p84280
sbg8
(g9
g10
NtRp84281
(dp84282
g13
Nsg14
Nsg15
VEuropean Environment Agency
p84283
sbg8
(g9
g10
NtRp84284
(dp84285
g13
Nsg14
Nsg15
VFALSE
p84286
sbNNNNNNNg8
(g9
g10
NtRp84287
(dp84288
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp84289
(dp84290
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp84291
(dp84292
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f5-2_1940-2011_rev01
p84293
sbNNtp84294
a(g8
(g9
g10
NtRp84295
(dp84296
g13
Nsg14
Nsg15
V91ea19b6-5ece-41b5-9630-9c44897a4017
p84297
sbNg8
(g9
g10
NtRp84298
(dp84299
g13
Nsg14
Nsg15
VEUNIS habitat type F2.2b, predicted habitat suitability - version 1, June 2016
p84300
sbNNNNNg8
(g9
g10
NtRp84301
(dp84302
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Prediction in eastern part of Europe (Causcasus, Turkey) uncertain due to lack of data for that area.
p84303
sbg8
(g23
g10
NtRp84304
(dp84305
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p84306
sbNg8
(g9
g10
NtRp84307
(dp84308
g13
Nsg14
Nsg15
VFALSE
p84309
sbNNNg8
(g9
g10
NtRp84310
(dp84311
g13
Nsg14
Nsg15
VFALSE
p84312
sbNNg8
(g9
g10
NtRp84313
(dp84314
g13
Nsg14
Nsg15
VFALSE
p84315
sbNNg8
(g9
g10
NtRp84316
(dp84317
g13
Nsg14
Nsg15
VFALSE
p84318
sbNg8
(g9
g10
NtRp84319
(dp84320
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_random_bg_ed1.png
p84321
sbg8
(g9
g10
NtRp84322
(dp84323
g13
Nsg14
Nsg15
VEPSG:3035
p84324
sbg8
(g9
g10
NtRp84325
(dp84326
g13
Nsg14
Nsg15
V2019-06-04
p84327
sbNg8
(g9
g10
NtRp84328
(dp84329
g13
Nsg14
Nsg15
VHabitats and biotopes
p84330
sbg8
(g9
g10
NtRp84331
(dp84332
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p84333
sbg8
(g9
g10
NtRp84334
(dp84335
g13
Nsg14
Nsg15
Vgrid
p84336
sbg8
(g9
g10
NtRp84337
(dp84338
g13
Nsg14
Nsg15
VGTiff
p84339
sbNg8
(g9
g10
NtRp84340
(dp84341
g13
Nsg14
Nsg15
V1000m
p84342
sbNg8
(g9
g10
NtRp84343
(dp84344
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 187\u000aRegularized training gain: 2.4348\u000aUnregularized training gain: 2.6387\u000aIterations: 500\u000aTraining AUC: 0.9745\u000a#Test samples: 20\u000aTest gain: 1.6217\u000aTest AUC: 0.8935\u000aAUC Standard Deviation: 0.0524\u000a#Background points: 5187\u000abio_12_etrs2_ras contribution: 12.8929\u000abio_15_etrs2_ras contribution: 0.3548\u000abio_18_etrs2_ras contribution: 2.9895\u000abio_4_etrs2_ras contribution: 15.818\u000abio_8_etrs2_ras contribution: 0.9385\u000abld_m_sd1_1km_eu_ll contribution: 7.0208\u000acecsum_m_sd1_1km_eu_ll contribution: 2.2118\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.5595\u000acrfvol_m_sd1_1km_eu_ll contribution: 19.0389\u000adist2water1km contribution: 0.004\u000aorcdrc_m_sd1_1km_eu_ll contribution: 1.3245\u000apet_he_yr contribution: 5.0007\u000aphihox_m_sd1_1km_eu_ll contribution: 1.9823\u000asltppt_m_sd1_1km_eu_ll contribution: 0.0419\u000asndppt_m_sd1_1km_eu_ll contribution: 1.363\u000asolar_1km contribution: 28.4589\u000abio_12_etrs2_ras permutation importance: 4.0254\u000abio_15_etrs2_ras permutation importance: 0.8479\u000abio_18_etrs2_ras permutation importance: 5.6659\u000abio_4_etrs2_ras permutation importance: 7.0556\u000abio_8_etrs2_ras permutation importance: 0.3611\u000abld_m_sd1_1km_eu_ll permutation importance: 0.2946\u000acecsum_m_sd1_1km_eu_ll permutation importance: 5.477\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.0235\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 47.0299\u000adist2water1km permutation importance: 0.1564\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 3.6347\u000apet_he_yr permutation importance: 14.5072\u000aphihox_m_sd1_1km_eu_ll permutation importance: 4.1548\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.8662\u000asndppt_m_sd1_1km_eu_ll permutation importance: 3.1646\u000asolar_1km permutation importance: 1.735\u000aEntropy: 6.1259\u000aPrevalence (average of logistic output over background sites): 0.0415\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0065\u000aFixed cumulative value 1 area: 0.2568\u000aFixed cumulative value 1 training omission: 0\u000aFixed cumulative value 1 test omission: 0.1\u000aFixed cumulative value 1 binomial probability: 2.57E-09\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.0666\u000aFixed cumulative value 5 area: 0.1163\u000aFixed cumulative value 5 training omission: 0.0267\u000aFixed cumulative value 5 test omission: 0.15\u000aFixed cumulative value 5 binomial probability: 1.04E-13\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.1538\u000aFixed cumulative value 10 area: 0.0787\u000aFixed cumulative value 10 training omission: 0.0428\u000aFixed cumulative value 10 test omission: 0.15\u000aFixed cumulative value 10 binomial probability: 1.53E-16\u000aMinimum training presence cumulative threshold: 2.44\u000aMinimum training presence logistic threshold: 0.0276\u000aMinimum training presence area: 0.1652\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.1\u000aMinimum training presence binomial probability: 1.14E-12\u000a10 percentile training presence cumulative threshold: 18.0174\u000a10 percentile training presence logistic threshold: 0.2683\u000a10 percentile training presence area: 0.0522\u000a10 percentile training presence training omission: 0.0963\u000a10 percentile training presence test omission: 0.2\u000a10 percentile training presence binomial probability: 1.22E-17\u000aEqual training sensitivity and specificity cumulative threshold: 13.7205\u000aEqual training sensitivity and specificity logistic threshold: 0.2123\u000aEqual training sensitivity and specificity area: 0.0642\u000aEqual training sensitivity and specificity training omission: 0.0642\u000aEqual training sensitivity and specificity test omission: 0.15\u000aEqual training sensitivity and specificity binomial probability: 5.05E-18\u000aMaximum training sensitivity plus specificity cumulative threshold: 9.4437\u000aMaximum training sensitivity plus specificity logistic threshold: 0.1466\u000aMaximum training sensitivity plus specificity area: 0.0814\u000aMaximum training sensitivity plus specificity training omission: 0.0321\u000aMaximum training sensitivity plus specificity test omission: 0.15\u000aMaximum training sensitivity plus specificity binomial probability: 2.69E-16\u000aEqual test sensitivity and specificity cumulative threshold: 3.0091\u000aEqual test sensitivity and specificity logistic threshold: 0.0373\u000aEqual test sensitivity and specificity area: 0.15\u000aEqual test sensitivity and specificity training omission: 0.0053\u000aEqual test sensitivity and specificity test omission: 0.15\u000aEqual test sensitivity and specificity binomial probability: 7.10E-12\u000aMaximum test sensitivity plus specificity cumulative threshold: 17.5345\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2592\u000aMaximum test sensitivity plus specificity area: 0.0534\u000aMaximum test sensitivity plus specificity training omission: 0.0963\u000aMaximum test sensitivity plus specificity test omission: 0.15\u000aMaximum test sensitivity plus specificity binomial probability: 2.28E-19\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.44\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0276\u000aBalance training omission, predicted area and threshold value area: 0.1652\u000aBalance training omission, predicted area and threshold value training omission: 0\u000aBalance training omission, predicted area and threshold value test omission: 0.1\u000aBalance training omission, predicted area and threshold value binomial probability: 1.14E-12\u000aEquate entropy of thresholded and original distributions cumulative threshold: 8.2574\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1254\u000aEquate entropy of thresholded and original distributions area: 0.0881\u000aEquate entropy of thresholded and original distributions training omission: 0.0321\u000aEquate entropy of thresholded and original distributions test omission: 0.15\u000aEquate entropy of thresholded and original distributions binomial probability: 1.02E-15
p84345
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g10
NtRp84346
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91ea19b6-5ece-41b5-9630-9c44897a4017
p84348
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g10
NtRp84349
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g74
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V1940
p84351
sbg8
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V2011
p84354
sbg8
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VTRUE
p84357
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(g9
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NtRp84358
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g13
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VEurope
p84360
sbg8
(g9
g10
NtRp84361
(dp84362
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84363
sbg8
(g9
g10
NtRp84364
(dp84365
g13
Nsg14
Nsg15
VFALSE
p84366
sbg8
(g9
g10
NtRp84367
(dp84368
g13
Nsg14
Nsg15
VEuropean Environment Agency
p84369
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(g9
g10
NtRp84370
(dp84371
g13
Nsg14
Nsg15
VFALSE
p84372
sbNNNNNNNg8
(g9
g10
NtRp84373
(dp84374
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp84375
(dp84376
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp84377
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Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f2-2b_1940-2011_rev01
p84379
sbNNtp84380
a(g8
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NtRp84381
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g13
Nsg14
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V7ea203b5-d801-47db-baf4-0984c0a633d5
p84383
sbNg8
(g9
g10
NtRp84384
(dp84385
g13
Nsg14
Nsg15
VEUNIS habitat type F7-4a distribution based on vegetation plot data - version 1, June 2016
p84386
sbNNNNNg8
(g9
g10
NtRp84387
(dp84388
g13
Nsg14
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p84389
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(g23
g10
NtRp84390
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g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p84392
sbNg8
(g9
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NtRp84393
(dp84394
g13
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Nsg15
VFALSE
p84395
sbNNNg8
(g9
g10
NtRp84396
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VFALSE
p84398
sbNNg8
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NtRp84399
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VFALSE
p84401
sbNNg8
(g9
g10
NtRp84402
(dp84403
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VFALSE
p84404
sbNg8
(g9
g10
NtRp84405
(dp84406
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_dist_edt1.png
p84407
sbg8
(g9
g10
NtRp84408
(dp84409
g13
Nsg14
Nsg15
VEPSG:3035
p84410
sbg8
(g9
g10
NtRp84411
(dp84412
g13
Nsg14
Nsg15
V2019-06-04
p84413
sbNg8
(g9
g10
NtRp84414
(dp84415
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Nsg14
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VHabitats and biotopes
p84416
sbg8
(g9
g10
NtRp84417
(dp84418
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Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p84419
sbg8
(g9
g10
NtRp84420
(dp84421
g13
Nsg14
Nsg15
Vvector
p84422
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(g9
g10
NtRp84423
(dp84424
g13
Nsg14
Nsg15
VSHP
p84425
sbNg8
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g10
NtRp84426
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V1:10000000
p84428
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g10
NtRp84429
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Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p84431
sbg8
(g9
g10
NtRp84432
(dp84433
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea203b5-d801-47db-baf4-0984c0a633d5
p84434
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(g9
g10
NtRp84435
(dp84436
g13
Nsg14
g74
sg15
V1940
p84437
sbg8
(g9
g10
NtRp84438
(dp84439
g13
Nsg14
g74
sg15
V2011
p84440
sbg8
(g9
g10
NtRp84441
(dp84442
g13
Nsg14
Nsg15
VTRUE
p84443
sbg8
(g9
g10
NtRp84444
(dp84445
g13
Nsg14
Nsg15
VEurope
p84446
sbg8
(g9
g10
NtRp84447
(dp84448
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84449
sbg8
(g9
g10
NtRp84450
(dp84451
g13
Nsg14
Nsg15
VFALSE
p84452
sbg8
(g9
g10
NtRp84453
(dp84454
g13
Nsg14
Nsg15
VEuropean Environment Agency
p84455
sbg8
(g9
g10
NtRp84456
(dp84457
g13
Nsg14
Nsg15
VFALSE
p84458
sbNNNNNNNg8
(g9
g10
NtRp84459
(dp84460
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp84461
(dp84462
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp84463
(dp84464
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f7-4a_1940-2011_rev01
p84465
sbNNtp84466
a(g8
(g9
g10
NtRp84467
(dp84468
g13
Nsg14
Nsg15
Vec9ae900-930e-40ac-bb95-a1f4a6ba2b95
p84469
sbNg8
(g9
g10
NtRp84470
(dp84471
g13
Nsg14
Nsg15
VEUNIS habitat type F3.1b, predicted habitat suitability - version 1, June 2016
p84472
sbNNNNNg8
(g9
g10
NtRp84473
(dp84474
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\u000a			Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\u000a			Geographic restriction for plot observations: n/a\u000a			Remarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ.\u000a          \u000a          Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.
p84475
sbg8
(g23
g10
NtRp84476
(dp84477
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p84478
sbNg8
(g9
g10
NtRp84479
(dp84480
g13
Nsg14
Nsg15
VFALSE
p84481
sbNNNg8
(g9
g10
NtRp84482
(dp84483
g13
Nsg14
Nsg15
VFALSE
p84484
sbNNg8
(g9
g10
NtRp84485
(dp84486
g13
Nsg14
Nsg15
VFALSE
p84487
sbNNg8
(g9
g10
NtRp84488
(dp84489
g13
Nsg14
Nsg15
VFALSE
p84490
sbNg8
(g9
g10
NtRp84491
(dp84492
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_random_bg_ed1.png
p84493
sbg8
(g9
g10
NtRp84494
(dp84495
g13
Nsg14
Nsg15
VEPSG:3035
p84496
sbg8
(g9
g10
NtRp84497
(dp84498
g13
Nsg14
Nsg15
V2019-06-04
p84499
sbNg8
(g9
g10
NtRp84500
(dp84501
g13
Nsg14
Nsg15
VHabitats and biotopes
p84502
sbg8
(g9
g10
NtRp84503
(dp84504
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p84505
sbg8
(g9
g10
NtRp84506
(dp84507
g13
Nsg14
Nsg15
Vgrid
p84508
sbg8
(g9
g10
NtRp84509
(dp84510
g13
Nsg14
Nsg15
VGTiff
p84511
sbNg8
(g9
g10
NtRp84512
(dp84513
g13
Nsg14
Nsg15
V1000m
p84514
sbNg8
(g9
g10
NtRp84515
(dp84516
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 707\u000aRegularized training gain: 1.1447\u000aUnregularized training gain: 1.3054\u000aIterations: 500\u000aTraining AUC: 0.9025\u000a#Test samples: 78\u000aTest gain: 1.0534\u000aTest AUC: 0.8724\u000aAUC Standard Deviation: 0.0133\u000a#Background points: 5707\u000abio_12_etrs2_ras contribution: 0.8323\u000abio_15_etrs2_ras contribution: 2.4142\u000abio_18_etrs2_ras contribution: 16.3224\u000abio_4_etrs2_ras contribution: 45.0235\u000abio_8_etrs2_ras contribution: 4.7928\u000abld_m_sd1_1km_eu_ll contribution: 0.9704\u000acecsum_m_sd1_1km_eu_ll contribution: 3.1905\u000aclyppt_m_sd1_1km_eu_ll contribution: 0.8803\u000acrfvol_m_sd1_1km_eu_ll contribution: 0.4803\u000adist2water1km contribution: 0.4007\u000aorcdrc_m_sd1_1km_eu_ll contribution: 0.2176\u000apet_he_yr contribution: 22.8131\u000aphihox_m_sd1_1km_eu_ll contribution: 0.2595\u000asltppt_m_sd1_1km_eu_ll contribution: 0.2441\u000asndppt_m_sd1_1km_eu_ll contribution: 0.9949\u000asolar_1km contribution: 0.1634\u000abio_12_etrs2_ras permutation importance: 1.4328\u000abio_15_etrs2_ras permutation importance: 2.0512\u000abio_18_etrs2_ras permutation importance: 17.2995\u000abio_4_etrs2_ras permutation importance: 52.9952\u000abio_8_etrs2_ras permutation importance: 6.0052\u000abld_m_sd1_1km_eu_ll permutation importance: 2.2594\u000acecsum_m_sd1_1km_eu_ll permutation importance: 0.9127\u000aclyppt_m_sd1_1km_eu_ll permutation importance: 1.2822\u000acrfvol_m_sd1_1km_eu_ll permutation importance: 1.3907\u000adist2water1km permutation importance: 0.2129\u000aorcdrc_m_sd1_1km_eu_ll permutation importance: 0.9402\u000apet_he_yr permutation importance: 10.3805\u000aphihox_m_sd1_1km_eu_ll permutation importance: 1.1669\u000asltppt_m_sd1_1km_eu_ll permutation importance: 0.4887\u000asndppt_m_sd1_1km_eu_ll permutation importance: 0.8649\u000asolar_1km permutation importance: 0.3168\u000aEntropy: 7.5112\u000aPrevalence (average of logistic output over background sites): 0.1561\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0363\u000aFixed cumulative value 1 area: 0.4728\u000aFixed cumulative value 1 training omission: 0.0057\u000aFixed cumulative value 1 test omission: 0.0128\u000aFixed cumulative value 1 binomial probability: 4.51E-20\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1521\u000aFixed cumulative value 5 area: 0.3389\u000aFixed cumulative value 5 training omission: 0.0212\u000aFixed cumulative value 5 test omission: 0.0513\u000aFixed cumulative value 5 binomial probability: 2.67E-30\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2417\u000aFixed cumulative value 10 area: 0.2728\u000aFixed cumulative value 10 training omission: 0.0424\u000aFixed cumulative value 10 test omission: 0.1282\u000aFixed cumulative value 10 binomial probability: 7.83E-33\u000aMinimum training presence cumulative threshold: 0.4395\u000aMinimum training presence logistic threshold: 0.0132\u000aMinimum training presence area: 0.5513\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 8.04E-16\u000a10 percentile training presence cumulative threshold: 15.809\u000a10 percentile training presence logistic threshold: 0.3193\u000a10 percentile training presence area: 0.2245\u000a10 percentile training presence training omission: 0.099\u000a10 percentile training presence test omission: 0.1795\u000a10 percentile training presence binomial probability: 8.50E-37\u000aEqual training sensitivity and specificity cumulative threshold: 24.9782\u000aEqual training sensitivity and specificity logistic threshold: 0.4041\u000aEqual training sensitivity and specificity area: 0.1728\u000aEqual training sensitivity and specificity training omission: 0.1726\u000aEqual training sensitivity and specificity test omission: 0.2436\u000aEqual training sensitivity and specificity binomial probability: 1.25E-42\u000aMaximum training sensitivity plus specificity cumulative threshold: 12.3829\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2728\u000aMaximum training sensitivity plus specificity area: 0.2506\u000aMaximum training sensitivity plus specificity training omission: 0.0566\u000aMaximum training sensitivity plus specificity test omission: 0.141\u000aMaximum training sensitivity plus specificity binomial probability: 1.31E-35\u000aEqual test sensitivity and specificity cumulative threshold: 18.8592\u000aEqual test sensitivity and specificity logistic threshold: 0.3501\u000aEqual test sensitivity and specificity area: 0.2052\u000aEqual test sensitivity and specificity training omission: 0.1259\u000aEqual test sensitivity and specificity test omission: 0.2051\u000aEqual test sensitivity and specificity binomial probability: 2.37E-38\u000aMaximum test sensitivity plus specificity cumulative threshold: 7.5121\u000aMaximum test sensitivity plus specificity logistic threshold: 0.2\u000aMaximum test sensitivity plus specificity area: 0.301\u000aMaximum test sensitivity plus specificity training omission: 0.0297\u000aMaximum test sensitivity plus specificity test omission: 0.0641\u000aMaximum test sensitivity plus specificity binomial probability: 1.17E-34\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.9854\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0722\u000aBalance training omission, predicted area and threshold value area: 0.4169\u000aBalance training omission, predicted area and threshold value training omission: 0.0071\u000aBalance training omission, predicted area and threshold value test omission: 0.0385\u000aBalance training omission, predicted area and threshold value binomial probability: 8.62E-23\u000aEquate entropy of thresholded and original distributions cumulative threshold: 6.1321\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1747\u000aEquate entropy of thresholded and original distributions area: 0.3203\u000aEquate entropy of thresholded and original distributions training omission: 0.0255\u000aEquate entropy of thresholded and original distributions test omission: 0.0641\u000aEquate entropy of thresholded and original distributions binomial probability: 1.12E-31
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec9ae900-930e-40ac-bb95-a1f4a6ba2b95
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V2011
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VTRUE
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VEurope
p84532
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84535
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VFALSE
p84538
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VEuropean Environment Agency
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VFALSE
p84544
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V
sbg8
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V
sbNNg8
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g10
NtRp84549
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Nsg14
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Veea_r_3035_1_km_eunis-hab-f3-1b_1940-2011_rev01
p84551
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V92839b66-179c-4eeb-89e8-f96c751368f8
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VEUNIS habitat type G2.1, predicted distribution of habitat suitability - version 1, Jan. 2015
p84558
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VThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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VFALSE
p84567
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VFALSE
p84570
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VFALSE
p84573
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_forest_bg_ed1.png
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VEPSG:3035
p84582
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V2019-06-04
p84585
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VHabitats and biotopes
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Vforest|natural area|terrestrial ecosystem
p84591
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g10
NtRp84592
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Vgrid
p84594
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VAAIGrid
p84597
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V1000m
p84600
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 1147\u000aRegularized training gain: 1.4645\u000aUnregularized training gain: 1.5375\u000aIterations: 500\u000aTraining AUC: 0.9184\u000a#Test samples: 127\u000aTest gain: 1.3833\u000aTest AUC: 0.9068\u000aAUC Standard Deviation: 0.0076\u000a#Background points: 10951\u000abio_12_etrs2_ras contribution: 0.2254\u000abio_15_etrs2_ras contribution: 7.9341\u000abio_18_etrs2_ras contribution: 58.7016\u000abio_4_etrs2_ras contribution: 7.5346\u000abio_8_etrs2_ras contribution: 7.2427\u000adist2water1km contribution: 0.1675\u000apet_he_yr contribution: 17.7312\u000asoil_ph contribution: 0.4114\u000asolar_1km contribution: 0.0516\u000abio_12_etrs2_ras permutation importance: 0.6544\u000abio_15_etrs2_ras permutation importance: 18.6682\u000abio_18_etrs2_ras permutation importance: 40.5422\u000abio_4_etrs2_ras permutation importance: 6.5935\u000abio_8_etrs2_ras permutation importance: 14.2185\u000adist2water1km permutation importance: 0.7874\u000apet_he_yr permutation importance: 17.1559\u000asoil_ph permutation importance: 1.1483\u000asolar_1km permutation importance: 0.2316\u000aTraining gain without bio_12_etrs2_ras: 1.4612\u000aTraining gain without bio_15_etrs2_ras: 1.4003\u000aTraining gain without bio_18_etrs2_ras: 1.4223\u000aTraining gain without bio_4_etrs2_ras: 1.4346\u000aTraining gain without bio_8_etrs2_ras: 1.4211\u000aTraining gain without dist2water1km: 1.4566\u000aTraining gain without pet_he_yr: 1.4023\u000aTraining gain without soil_ph: 1.4587\u000aTraining gain without solar_1km: 1.4645\u000aTraining gain with only bio_12_etrs2_ras: 0.1733\u000aTraining gain with only bio_15_etrs2_ras: 0.4351\u000aTraining gain with only bio_18_etrs2_ras: 1.1013\u000aTraining gain with only bio_4_etrs2_ras: 0.3755\u000aTraining gain with only bio_8_etrs2_ras: 0.6138\u000aTraining gain with only dist2water1km: 0.1145\u000aTraining gain with only pet_he_yr: 0.7947\u000aTraining gain with only soil_ph: 0.234\u000aTraining gain with only solar_1km: 0.0697\u000aTest gain without bio_12_etrs2_ras: 1.3821\u000aTest gain without bio_15_etrs2_ras: 1.3661\u000aTest gain without bio_18_etrs2_ras: 1.3499\u000aTest gain without bio_4_etrs2_ras: 1.3255\u000aTest gain without bio_8_etrs2_ras: 1.385\u000aTest gain without dist2water1km: 1.4099\u000aTest gain without pet_he_yr: 1.3167\u000aTest gain without soil_ph: 1.3679\u000aTest gain without solar_1km: 1.3877\u000aTest gain with only bio_12_etrs2_ras: 0.2158\u000aTest gain with only bio_15_etrs2_ras: 0.4275\u000aTest gain with only bio_18_etrs2_ras: 1.1492\u000aTest gain with only bio_4_etrs2_ras: 0.4443\u000aTest gain with only bio_8_etrs2_ras: 0.5644\u000aTest gain with only dist2water1km: 0.0488\u000aTest gain with only pet_he_yr: 0.8758\u000aTest gain with only soil_ph: 0.2647\u000aTest gain with only solar_1km: 0.0598\u000aAUC without bio_12_etrs2_ras: 0.9065\u000aAUC without bio_15_etrs2_ras: 0.9046\u000aAUC without bio_18_etrs2_ras: 0.9025\u000aAUC without bio_4_etrs2_ras: 0.9009\u000aAUC without bio_8_etrs2_ras: 0.906\u000aAUC without dist2water1km: 0.9102\u000aAUC without pet_he_yr: 0.9\u000aAUC without soil_ph: 0.9056\u000aAUC without solar_1km: 0.9073\u000aAUC with only bio_12_etrs2_ras: 0.6764\u000aAUC with only bio_15_etrs2_ras: 0.7232\u000aAUC with only bio_18_etrs2_ras: 0.8801\u000aAUC with only bio_4_etrs2_ras: 0.7518\u000aAUC with only bio_8_etrs2_ras: 0.7914\u000aAUC with only dist2water1km: 0.5488\u000aAUC with only pet_he_yr: 0.8469\u000aAUC with only soil_ph: 0.6782\u000aAUC with only solar_1km: 0.5839\u000aEntropy: 7.8424\u000aPrevalence (average of logistic output over background sites): 0.1122\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.015\u000aFixed cumulative value 1 area: 0.3882\u000aFixed cumulative value 1 training omission: 0.0026\u000aFixed cumulative value 1 test omission: 0.0079\u000aFixed cumulative value 1 binomial probability: 1.26E-44\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.1598\u000aFixed cumulative value 5 area: 0.2246\u000aFixed cumulative value 5 training omission: 0.0262\u000aFixed cumulative value 5 test omission: 0.063\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.2691\u000aFixed cumulative value 10 area: 0.1822\u000aFixed cumulative value 10 training omission: 0.0741\u000aFixed cumulative value 10 test omission: 0.1339\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0039\u000aMinimum training presence logistic threshold: 0.0002\u000aMinimum training presence area: 0.9007\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0\u000aMinimum training presence binomial probability: 9.16E-05\u000a10 percentile training presence cumulative threshold: 12.5977\u000a10 percentile training presence logistic threshold: 0.3089\u000a10 percentile training presence area: 0.1673\u000a10 percentile training presence training omission: 0.0994\u000a10 percentile training presence test omission: 0.1496\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 16.4336\u000aEqual training sensitivity and specificity logistic threshold: 0.3635\u000aEqual training sensitivity and specificity area: 0.1498\u000aEqual training sensitivity and specificity training omission: 0.15\u000aEqual training sensitivity and specificity test omission: 0.1654\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 6.6058\u000aMaximum training sensitivity plus specificity logistic threshold: 0.2036\u000aMaximum training sensitivity plus specificity area: 0.2078\u000aMaximum training sensitivity plus specificity training omission: 0.0349\u000aMaximum training sensitivity plus specificity test omission: 0.0866\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 14.636\u000aEqual test sensitivity and specificity logistic threshold: 0.3406\u000aEqual test sensitivity and specificity area: 0.1575\u000aEqual test sensitivity and specificity training omission: 0.1238\u000aEqual test sensitivity and specificity test omission: 0.1575\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 5.3119\u000aMaximum test sensitivity plus specificity logistic threshold: 0.1678\u000aMaximum test sensitivity plus specificity area: 0.2209\u000aMaximum test sensitivity plus specificity training omission: 0.0279\u000aMaximum test sensitivity plus specificity test omission: 0.063\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 2.6888\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.0716\u000aBalance training omission, predicted area and threshold value area: 0.2674\u000aBalance training omission, predicted area and threshold value training omission: 0.007\u000aBalance training omission, predicted area and threshold value test omission: 0.0394\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 4.414\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1373\u000aEquate entropy of thresholded and original distributions area: 0.2325\u000aEquate entropy of thresholded and original distributions training omission: 0.0235\u000aEquate entropy of thresholded and original distributions test omission: 0.0551\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92839b66-179c-4eeb-89e8-f96c751368f8
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V1940
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V2011
p84612
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VTRUE
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p84621
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VFALSE
p84624
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VEuropean Environment Agency
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VFALSE
p84630
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Veea_r_3035_1_km_eunis-hab-g2-1_1940-2011_rev01
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Ve9151c34-da65-48b9-a2ca-b9b835480812
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VPotential quiet areas in Europe, based upon Quietness Suitability Index (QSI), Aug. 2016
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VWithin the European Union, the Environmental Noise Directive (END, 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. The report \u2018Quiet areas in Europe: the environment unaffected by noise pollution,\u2019 provides a first mapping assessment of potential quiet areas in Europe\u2019s rural regions. Approximately 18% of Europe\u2019s area can be considered quiet, but 33% is potentially affected by noise pollution, the report finds. This dataset underpins the assessment and is based on the quietness suitability index (QSI), which provides the overview with the highest (QSI=1) and lowest (QSI=0) proportion of potential quiet areas in Europe.
p84647
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p84650
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VFALSE
p84653
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VFALSE
p84656
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VFALSE
p84659
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9151c34-da65-48b9-a2ca-b9b835480812.png
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VEPSG:3035
p84665
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g10
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V2019-06-19
p84668
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VArea management/restriction/regulation zones and reporting units
p84671
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Vnoise|noise type|vibrations
p84674
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g10
NtRp84675
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Nsg14
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Vgrid
p84677
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g10
NtRp84678
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Nsg14
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VFGeo
p84680
sbNg8
(g9
g10
NtRp84681
(dp84682
g13
Nsg14
Nsg15
V100m
p84683
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g10
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VSuitable distance layer from noise sources built following a fuzzy approach (*), calculating the 'membership' to the quietness range (0\u20131) by means of a linear relationship, considering the mean value obtained as no suitable (= 0) and maximum distance obtained as suitable (= 1). The distance values between not suitable (mean value) and suitable (maximum value) will be reassigned with a new value between 0 and 1 following a linear equation.\u000a\u000a (*) The production of threshold distance layers around noise sources has been made following a fuzzy approach rather than obtaining a buffer with sharp limits. Membership to a 0-1 range has been obtained according to a linear function.\u000a\u000aData sources:\u000a- END: major roads, major railways and major airports noise contour maps (2012)\u000a- END: location of major roads and major railways and major airports\u000a- Urban morphological zones (UMZ) from CLC 2006 \u000a- E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014.\u000a- Corine Land Cover and Land Use data 2006 (CLC) (100 × 100 m grid) \u000a- Corine Land Cover 2000 for Greece\u000a- EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012)\u000a- The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory.\u000a\u000aFull methodology: Good practice guide on quiet areas.Technical report No 4/2014\u000ahttp://www.eea.europa.eu/publications/good-practice-guide-on-quiet-areas
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9151c34-da65-48b9-a2ca-b9b835480812
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VFALSE
p84692
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VEEA33
p84695
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\u000a\u000aThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\u000a\u000aThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\u000a\u000aThe CDDA data can be queried online in the European Nature Information System (EUNIS).\u000a\u000aGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\u000a\u000aTwo versions of the dataset are provided. The full dataset ("CDDA_2019_v01_internal") includes the entire geographical coverage including nationally designated areas in overseas entities. The "CDDA_2019_v01_internal_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats.\u000a\u000aNOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title "Nationally designated areas (CDDA) polygons for public access - version 17, June 2019", which is derived from this dataset.
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VProduction process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.
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V01875b2b-b0d6-40d2-934b-e4f3dae3cb8b
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VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.3, Apr. 2019
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016).\u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000a\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000a\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000a\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000a\u000aLake: Body of standing inland surface water. \u000a\u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000a\u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000a\u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000a\u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000a\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b.png
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VEPSG:4326
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V2019-06-04
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VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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Vvector
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VGeopackage|SHP
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V1:250000
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b
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VFALSE
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VEU28|Iceland|Norway
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.
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VFALSE
p84932
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VEuropean Environment Agency
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VFALSE
p84938
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V
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V
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Veea_v_4326_250_k_wise-wfd2016_i_2016-2019_v01_r03
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Vd1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb
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VEEA reference grid for Europe (50km), Nov. 2018
p84952
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NtRp84953
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VThis dataset is an INSPIRE compatible grid of 50 km covering the whole Europe.
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VEPSG:3035
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Nsg14
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V2019-07-22
p84976
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VGeographical grid systems
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Vgridding
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Vvector
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VPostgis|SHP
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V50km
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VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb
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VFALSE
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VEurope
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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(g9
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VFALSE
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VEuropean Environment Agency
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VFALSE
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V
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V
sbNNg8
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Veea_v_3035_50_km_eea-ref-grid-europe_p_2018_v01_r00
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Vc3288c38-e33a-48f9-b1dc-1f79c3e3be3f
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VMarine Protected Areas (MPA) assessment areas - version 1, Feb. 2017
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VThe spatial extent of the MPA assessment areas was defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Given no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD, this dataset was based on a MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM integrated with the Maritime Boundaries (version 7) from the Flanders Marine Institute (VLIZ). \u000aThis dataset has been used to create the map that shows the percentage marine protected area (MPA) coverage in Europe's regional seas and also the distance to the Convention on Biological Diversity Aichi target 11.
p85032
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VFALSE
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VFALSE
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VFALSE
p85041
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f.png
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VEPSG:3035
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V2019-06-24
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VArea management/restriction/regulation zones and reporting units|Sea regions
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VMarine Strategy Framework Directive|biodiversity|ecosystem|marine biodiversity|marine ecosystem|marine environment|policy instrument|protected marine zone
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VSHP
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V1:10000000
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VThis dataset is based on the MSFD marine regions and sub-regions dataset. As indicated in the abstract, it has been defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Since no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD Articles 8, 9 and 10 in the Eionet Central Data Repository (CDR) ), the decision was taken to use the MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM (ETC/ICM, 2013), based on EU Member States reported data integrated with information from the Flanders Marine Institute (VLIZ) Maritime Boundaries (version 7) to delimit the MPA assessment areas
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f
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VFALSE
p85077
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VAtlantic Ocean|Baltic Sea|Black Sea|EU28|Mediterranean Sea|North Sea|Northeast Atlantic Ocean (40W)
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Nsg14
Nsg15
VFALSE
p85086
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VWISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.3, Apr. 2019
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VThe dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \u000a\u000aThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version.\u000a\u000aThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\u000a\u000aThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\u000a\u000aIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \u000aSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\u000a\u000aRelevant concepts: \u000a\u000aRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \u000a\u000aRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\u000a\u000aSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \u000a\u000aSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\u000a\u000aSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \u000a\u000aSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\u000a\u000aInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \u000a\u000aRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \u000a\u000aLake: Body of standing inland surface water. \u000a\u000aTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \u000a\u000aCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \u000a\u000aTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \u000a\u000aTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\u000a\u000aGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \u000a\u000aGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\u000a\u000aMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.
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VArea management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water
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V1) Data model\u000a\u000aThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\u000a\u000aThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\u000aThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\u000a\u000aRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\u000a\u000aRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\u000a\u000a2) Data sources\u000a\u000aInformation on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\u000a\u000aInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\u000a\u000aInformation on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\u000a\u000aFor some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\u000a\u000aThe data sources above will hereafter be referred to as WFD2010.\u000a\u000aFor the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\u000a\u000aRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\u000a\u000a3) Data processing\u000a\u000aThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \u000aIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\u000a\u000aFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\u000a\u000aRefer to the Technical Report which accompanies the data set for further information.\u000a\u000a4) Data quality\u000a\u000aTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\u000a\u000aThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \u000a\u000aAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\u000a\u000aNote that:\u000a\u000a- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\u000a\u000a- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\u000a\u000a- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\u000a\u000aTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \u000a\u000aNo geometric or topological error correction was performed.\u000aBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\u000a\u000aThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\u000aThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\u000aThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\u000aA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.
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VThe dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.
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VEuropean Environment Agency
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Veea_v_4326_250_k_wise-wfd2010_i_2010-2019_v01_r03
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VCorine Land Cover 2006 (vector) - version 18, Sep. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
p85231
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aea65d71-ec1e-4951-bfbd-329a9b85ef6c
p85234
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V2005
p85237
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NtRp85238
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g74
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V2007
p85240
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(g9
g10
NtRp85241
(dp85242
g13
Nsg14
Nsg15
VTRUE
p85243
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(g9
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NtRp85244
(dp85245
g13
Nsg14
Nsg15
VEEA39
p85246
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(g9
g10
NtRp85247
(dp85248
g13
Nsg14
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p85249
sbg8
(g9
g10
NtRp85250
(dp85251
g13
Nsg14
Nsg15
VFALSE
p85252
sbg8
(g9
g10
NtRp85253
(dp85254
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85255
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(g9
g10
NtRp85256
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g13
Nsg14
Nsg15
VFALSE
p85258
sbNNNNNNNg8
(g9
g10
NtRp85259
(dp85260
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85261
(dp85262
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85263
(dp85264
g13
Nsg14
Nsg15
Vcopernicus_v_3035_100_m_clc_2005-2007_rev18
p85265
sbNNtp85266
a(g8
(g9
g10
NtRp85267
(dp85268
g13
Nsg14
Nsg15
V156377d3-14ee-42f9-855e-71d8c710d441
p85269
sbNg8
(g9
g10
NtRp85270
(dp85271
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitat type, predicted distribution of habitat suitability - version 1, May 2019
p85272
sbNNNNNg8
(g9
g10
NtRp85273
(dp85274
g13
Nsg14
Nsg15
VThe modelled suitability for EUNIS heathland, scrub and tundra habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitabilty modelling not only Climate and Soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables like Landuse, Vegetation height, Phenology, and LAI (Leave Area Index). Because the EBV's are restricted by the extent of the Remote Sensing data (EEA39 countries) the modelling result does also not go beyond this boudary.
p85275
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g10
NtRp85276
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85278
sbNg8
(g9
g10
NtRp85279
(dp85280
g13
Nsg14
Nsg15
VFALSE
p85281
sbNNNg8
(g9
g10
NtRp85282
(dp85283
g13
Nsg14
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VFALSE
p85284
sbNNg8
(g9
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NtRp85285
(dp85286
g13
Nsg14
Nsg15
VFALSE
p85287
sbNNg8
(g9
g10
NtRp85288
(dp85289
g13
Nsg14
Nsg15
VFALSE
p85290
sbNg8
(g9
g10
NtRp85291
(dp85292
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png
p85293
sbNg8
(g9
g10
NtRp85294
(dp85295
g13
Nsg14
Nsg15
V2019-06-04
p85296
sbNg8
(g9
g10
NtRp85297
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Nsg14
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VHabitats and biotopes
p85299
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g10
NtRp85300
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g13
Nsg14
Nsg15
Vhabitat|heathland|modelling|natural area|terrestrial ecosystem|tundra
p85302
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(g9
g10
NtRp85303
(dp85304
g13
Nsg14
Nsg15
Vgrid
p85305
sbg8
(g9
g10
NtRp85306
(dp85307
g13
Nsg14
Nsg15
VFGeo
p85308
sbNg8
(g9
g10
NtRp85309
(dp85310
g13
Nsg14
Nsg15
V1000m
p85311
sbNg8
(g9
g10
NtRp85312
(dp85313
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV\u2019sand abiotic site conditions" provided with the dataset.
p85314
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g10
NtRp85315
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g13
Nsg14
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/156377d3-14ee-42f9-855e-71d8c710d441
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g13
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VFALSE
p85320
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NtRp85321
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VEEA39
p85323
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85326
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g10
NtRp85327
(dp85328
g13
Nsg14
Nsg15
VFALSE
p85329
sbg8
(g9
g10
NtRp85330
(dp85331
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85332
sbg8
(g9
g10
NtRp85333
(dp85334
g13
Nsg14
Nsg15
VFALSE
p85335
sbNNNNNNNg8
(g9
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NtRp85336
(dp85337
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85338
(dp85339
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85340
(dp85341
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-s_p_1940-2017_v01_r00
p85342
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(g9
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NtRp85344
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g13
Nsg14
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V4c333e91-a5f9-439a-9a97-4d0a67673609
p85346
sbNg8
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NtRp85347
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g13
Nsg14
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VEUNIS heathland, scrub and tundra habitat types, distribution based on vegetation plot data - version 1, MM. 2019 [VECTOR]
p85349
sbNNNNNg8
(g9
g10
NtRp85350
(dp85351
g13
Nsg14
Nsg15
VThe verified heathland, scrub and tundra habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
p85352
sbg8
(g23
g10
NtRp85353
(dp85354
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85355
sbNg8
(g9
g10
NtRp85356
(dp85357
g13
Nsg14
Nsg15
VFALSE
p85358
sbNNNg8
(g9
g10
NtRp85359
(dp85360
g13
Nsg14
Nsg15
VFALSE
p85361
sbNNg8
(g9
g10
NtRp85362
(dp85363
g13
Nsg14
Nsg15
VFALSE
p85364
sbNNg8
(g9
g10
NtRp85365
(dp85366
g13
Nsg14
Nsg15
VFALSE
p85367
sbNg8
(g9
g10
NtRp85368
(dp85369
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_dist_edt1.png
p85370
sbNg8
(g9
g10
NtRp85371
(dp85372
g13
Nsg14
Nsg15
V2019-06-04
p85373
sbNg8
(g9
g10
NtRp85374
(dp85375
g13
Nsg14
Nsg15
VHabitats and biotopes
p85376
sbg8
(g9
g10
NtRp85377
(dp85378
g13
Nsg14
Nsg15
Vhabitat|heathland|natural area|terrestrial ecosystem|tundra
p85379
sbg8
(g9
g10
NtRp85380
(dp85381
g13
Nsg14
Nsg15
Vvector
p85382
sbg8
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g13
Nsg14
Nsg15
VSHP
p85385
sbNg8
(g9
g10
NtRp85386
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g13
Nsg14
Nsg15
V1:10000000
p85388
sbNg8
(g9
g10
NtRp85389
(dp85390
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
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NtRp85392
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c333e91-a5f9-439a-9a97-4d0a67673609
p85394
sbNNg8
(g9
g10
NtRp85395
(dp85396
g13
Nsg14
Nsg15
VFALSE
p85397
sbg8
(g9
g10
NtRp85398
(dp85399
g13
Nsg14
Nsg15
VAlbania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|EEA39|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Kosovo|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|Ukraine|United Kingdom
p85400
sbg8
(g9
g10
NtRp85401
(dp85402
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85403
sbg8
(g9
g10
NtRp85404
(dp85405
g13
Nsg14
Nsg15
VFALSE
p85406
sbg8
(g9
g10
NtRp85407
(dp85408
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85409
sbg8
(g9
g10
NtRp85410
(dp85411
g13
Nsg14
Nsg15
VFALSE
p85412
sbNNNNNNNg8
(g9
g10
NtRp85413
(dp85414
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85415
(dp85416
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85417
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Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-s_p_1940-2017_v01_r00
p85419
sbNNtp85420
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(g9
g10
NtRp85421
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g13
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V1b43939a-cb20-4eb8-b6e7-b454971ed933
p85423
sbNg8
(g9
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NtRp85424
(dp85425
g13
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VEUNIS forest and other wooded land habitat types, distribution based on vegetation plot data - version 1, May 2019
p85426
sbNNNNNg8
(g9
g10
NtRp85427
(dp85428
g13
Nsg14
Nsg15
VThe verified forest and other wooded land habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
p85429
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g10
NtRp85430
(dp85431
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85432
sbNg8
(g9
g10
NtRp85433
(dp85434
g13
Nsg14
Nsg15
VFALSE
p85435
sbNNNg8
(g9
g10
NtRp85436
(dp85437
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Nsg14
Nsg15
VFALSE
p85438
sbNNg8
(g9
g10
NtRp85439
(dp85440
g13
Nsg14
Nsg15
VFALSE
p85441
sbNNg8
(g9
g10
NtRp85442
(dp85443
g13
Nsg14
Nsg15
VFALSE
p85444
sbNg8
(g9
g10
NtRp85445
(dp85446
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1b43939a-cb20-4eb8-b6e7-b454971ed933.png
p85447
sbNg8
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g10
NtRp85448
(dp85449
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Nsg15
V2019-06-04
p85450
sbNg8
(g9
g10
NtRp85451
(dp85452
g13
Nsg14
Nsg15
VHabitats and biotopes
p85453
sbg8
(g9
g10
NtRp85454
(dp85455
g13
Nsg14
Nsg15
Vforest|habitat|natural area|terrestrial ecosystem
p85456
sbg8
(g9
g10
NtRp85457
(dp85458
g13
Nsg14
Nsg15
Vvector
p85459
sbg8
(g9
g10
NtRp85460
(dp85461
g13
Nsg14
Nsg15
VFGeo
p85462
sbNg8
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g10
NtRp85463
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V1:10000000
p85465
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NtRp85466
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VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by WEnR and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).\u000aMore information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.
p85468
sbg8
(g9
g10
NtRp85469
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g13
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b43939a-cb20-4eb8-b6e7-b454971ed933
p85471
sbNNg8
(g9
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NtRp85472
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Nsg14
Nsg15
VFALSE
p85474
sbg8
(g9
g10
NtRp85475
(dp85476
g13
Nsg14
Nsg15
VEEA39
p85477
sbg8
(g9
g10
NtRp85478
(dp85479
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85480
sbg8
(g9
g10
NtRp85481
(dp85482
g13
Nsg14
Nsg15
VFALSE
p85483
sbg8
(g9
g10
NtRp85484
(dp85485
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85486
sbg8
(g9
g10
NtRp85487
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g13
Nsg14
Nsg15
VFALSE
p85489
sbNNNNNNNg8
(g9
g10
NtRp85490
(dp85491
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Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85492
(dp85493
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85494
(dp85495
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-t_p_1940-2017_v01_r00
p85496
sbNNtp85497
a(g8
(g9
g10
NtRp85498
(dp85499
g13
Nsg14
Nsg15
V169b69b5-a1f8-4aed-8042-bfcb4c1e4948
p85500
sbNg8
(g9
g10
NtRp85501
(dp85502
g13
Nsg14
Nsg15
VEUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability - version 1, May 2019
p85503
sbNNNNNg8
(g9
g10
NtRp85504
(dp85505
g13
Nsg14
Nsg15
VThe modelled suitability for EUNIS forest and other wooded land habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitability modelling not only climate and soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables, like land use, vegetation height, phenology, and LAI (Leaf Area Index). Because the EBV's are restricted by the extent of the remote sensing data (EEA39 countries) the modelling result does also not go beyond this boundary.
p85506
sbg8
(g23
g10
NtRp85507
(dp85508
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85509
sbNg8
(g9
g10
NtRp85510
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g13
Nsg14
Nsg15
VFALSE
p85512
sbNNNg8
(g9
g10
NtRp85513
(dp85514
g13
Nsg14
Nsg15
VFALSE
p85515
sbNNg8
(g9
g10
NtRp85516
(dp85517
g13
Nsg14
Nsg15
VFALSE
p85518
sbNNg8
(g9
g10
NtRp85519
(dp85520
g13
Nsg14
Nsg15
VFALSE
p85521
sbNg8
(g9
g10
NtRp85522
(dp85523
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png
p85524
sbNg8
(g9
g10
NtRp85525
(dp85526
g13
Nsg14
Nsg15
V2019-06-04
p85527
sbNg8
(g9
g10
NtRp85528
(dp85529
g13
Nsg14
Nsg15
VHabitats and biotopes
p85530
sbg8
(g9
g10
NtRp85531
(dp85532
g13
Nsg14
Nsg15
Vforest|habitat|modelling|natural area|terrestrial ecosystem
p85533
sbg8
(g9
g10
NtRp85534
(dp85535
g13
Nsg14
Nsg15
Vgrid
p85536
sbg8
(g9
g10
NtRp85537
(dp85538
g13
Nsg14
Nsg15
VFGeo
p85539
sbNg8
(g9
g10
NtRp85540
(dp85541
g13
Nsg14
Nsg15
V1000m
p85542
sbNg8
(g9
g10
NtRp85543
(dp85544
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. \u000aFor the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. \u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV\u2019sand abiotic site conditions" provided with the dataset.
p85545
sbg8
(g9
g10
NtRp85546
(dp85547
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/169b69b5-a1f8-4aed-8042-bfcb4c1e4948
p85548
sbNNg8
(g9
g10
NtRp85549
(dp85550
g13
Nsg14
Nsg15
VFALSE
p85551
sbg8
(g9
g10
NtRp85552
(dp85553
g13
Nsg14
Nsg15
VEEA39
p85554
sbg8
(g9
g10
NtRp85555
(dp85556
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85557
sbg8
(g9
g10
NtRp85558
(dp85559
g13
Nsg14
Nsg15
VFALSE
p85560
sbg8
(g9
g10
NtRp85561
(dp85562
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85563
sbg8
(g9
g10
NtRp85564
(dp85565
g13
Nsg14
Nsg15
VFALSE
p85566
sbNNNNNNNg8
(g9
g10
NtRp85567
(dp85568
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85569
(dp85570
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85571
(dp85572
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-t_p_1940-2017_v01_r00
p85573
sbNNtp85574
a(g8
(g9
g10
NtRp85575
(dp85576
g13
Nsg14
Nsg15
V2aee4bd1-c509-4b0c-94a1-f0ed57763ccb
p85577
sbNg8
(g9
g10
NtRp85578
(dp85579
g13
Nsg14
Nsg15
VEUNIS grassland and lands dominated by forbs, mosses or lichens habitat types, distribution based on vegetation plot data - version 1, May 2019
p85580
sbNNNNNg8
(g9
g10
NtRp85581
(dp85582
g13
Nsg14
Nsg15
VThe verified grasslands and lands dominated by forbs, mosses or lichens habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
p85583
sbg8
(g23
g10
NtRp85584
(dp85585
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85586
sbNg8
(g9
g10
NtRp85587
(dp85588
g13
Nsg14
Nsg15
VFALSE
p85589
sbNNNg8
(g9
g10
NtRp85590
(dp85591
g13
Nsg14
Nsg15
VFALSE
p85592
sbNNg8
(g9
g10
NtRp85593
(dp85594
g13
Nsg14
Nsg15
VFALSE
p85595
sbNNg8
(g9
g10
NtRp85596
(dp85597
g13
Nsg14
Nsg15
VFALSE
p85598
sbNg8
(g9
g10
NtRp85599
(dp85600
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2aee4bd1-c509-4b0c-94a1-f0ed57763ccb.png
p85601
sbNg8
(g9
g10
NtRp85602
(dp85603
g13
Nsg14
Nsg15
V2019-06-04
p85604
sbNg8
(g9
g10
NtRp85605
(dp85606
g13
Nsg14
Nsg15
VHabitats and biotopes
p85607
sbg8
(g9
g10
NtRp85608
(dp85609
g13
Nsg14
Nsg15
Vgrassland|habitat|lichen|moss|natural area|terrestrial ecosystem
p85610
sbg8
(g9
g10
NtRp85611
(dp85612
g13
Nsg14
Nsg15
Vvector
p85613
sbg8
(g9
g10
NtRp85614
(dp85615
g13
Nsg14
Nsg15
VFGeo
p85616
sbNg8
(g9
g10
NtRp85617
(dp85618
g13
Nsg14
Nsg15
V1:10000000
p85619
sbNg8
(g9
g10
NtRp85620
(dp85621
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). \u000aMore information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.
p85622
sbg8
(g9
g10
NtRp85623
(dp85624
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2aee4bd1-c509-4b0c-94a1-f0ed57763ccb
p85625
sbNNg8
(g9
g10
NtRp85626
(dp85627
g13
Nsg14
Nsg15
VFALSE
p85628
sbg8
(g9
g10
NtRp85629
(dp85630
g13
Nsg14
Nsg15
VEEA39
p85631
sbg8
(g9
g10
NtRp85632
(dp85633
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85634
sbg8
(g9
g10
NtRp85635
(dp85636
g13
Nsg14
Nsg15
VFALSE
p85637
sbg8
(g9
g10
NtRp85638
(dp85639
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85640
sbg8
(g9
g10
NtRp85641
(dp85642
g13
Nsg14
Nsg15
VFALSE
p85643
sbNNNNNNNg8
(g9
g10
NtRp85644
(dp85645
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85646
(dp85647
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85648
(dp85649
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-r_p_1940-2017_v01_r00
p85650
sbNNtp85651
a(g8
(g9
g10
NtRp85652
(dp85653
g13
Nsg14
Nsg15
V70fbb9d1-b61b-4bdc-973b-fec4d8835ccd
p85654
sbNg8
(g9
g10
NtRp85655
(dp85656
g13
Nsg14
Nsg15
VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, predicted distribution of habitat suitability - version 1, May 2019
p85657
sbNNNNNg8
(g9
g10
NtRp85658
(dp85659
g13
Nsg14
Nsg15
VThe modelled suitability for the EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitabilty modelling not only Climate and Soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables like Landuse, Vegetation height, Phenology, and LAI (Leave Area Index). Because the EBV's are restricted by the extent of the Remote Sensing data (EEA39 countries) the modelling result does also not go beyond this boudary.
p85660
sbg8
(g23
g10
NtRp85661
(dp85662
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85663
sbNg8
(g9
g10
NtRp85664
(dp85665
g13
Nsg14
Nsg15
VFALSE
p85666
sbNNNg8
(g9
g10
NtRp85667
(dp85668
g13
Nsg14
Nsg15
VFALSE
p85669
sbNNg8
(g9
g10
NtRp85670
(dp85671
g13
Nsg14
Nsg15
VFALSE
p85672
sbNNg8
(g9
g10
NtRp85673
(dp85674
g13
Nsg14
Nsg15
VFALSE
p85675
sbNg8
(g9
g10
NtRp85676
(dp85677
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png
p85678
sbNg8
(g9
g10
NtRp85679
(dp85680
g13
Nsg14
Nsg15
V2019-06-04
p85681
sbNg8
(g9
g10
NtRp85682
(dp85683
g13
Nsg14
Nsg15
VHabitats and biotopes
p85684
sbg8
(g9
g10
NtRp85685
(dp85686
g13
Nsg14
Nsg15
Vgrassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem
p85687
sbg8
(g9
g10
NtRp85688
(dp85689
g13
Nsg14
Nsg15
Vgrid
p85690
sbg8
(g9
g10
NtRp85691
(dp85692
g13
Nsg14
Nsg15
VFGeo
p85693
sbNg8
(g9
g10
NtRp85694
(dp85695
g13
Nsg14
Nsg15
V1000m
p85696
sbNg8
(g9
g10
NtRp85697
(dp85698
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV\u2019sand abiotic site conditions" provided with the dataset.
p85699
sbg8
(g9
g10
NtRp85700
(dp85701
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/70fbb9d1-b61b-4bdc-973b-fec4d8835ccd
p85702
sbNNg8
(g9
g10
NtRp85703
(dp85704
g13
Nsg14
Nsg15
VFALSE
p85705
sbg8
(g9
g10
NtRp85706
(dp85707
g13
Nsg14
Nsg15
VEEA39
p85708
sbg8
(g9
g10
NtRp85709
(dp85710
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85711
sbg8
(g9
g10
NtRp85712
(dp85713
g13
Nsg14
Nsg15
VFALSE
p85714
sbg8
(g9
g10
NtRp85715
(dp85716
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85717
sbg8
(g9
g10
NtRp85718
(dp85719
g13
Nsg14
Nsg15
VFALSE
p85720
sbNNNNNNNg8
(g9
g10
NtRp85721
(dp85722
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85723
(dp85724
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85725
(dp85726
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-r_p_1940-2017_v01_r00
p85727
sbNNtp85728
a(g8
(g9
g10
NtRp85729
(dp85730
g13
Nsg14
Nsg15
V1f8814c7-eb8b-4674-9955-1ebf485cfc57
p85731
sbNg8
(g9
g10
NtRp85732
(dp85733
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitat types, distribution based on vegetation plot data - version 1, May 2019
p85734
sbNNNNNg8
(g9
g10
NtRp85735
(dp85736
g13
Nsg14
Nsg15
VThe verified heathland, scrub and tundra habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
p85737
sbg8
(g23
g10
NtRp85738
(dp85739
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
p85740
sbNg8
(g9
g10
NtRp85741
(dp85742
g13
Nsg14
Nsg15
VFALSE
p85743
sbNNNg8
(g9
g10
NtRp85744
(dp85745
g13
Nsg14
Nsg15
VFALSE
p85746
sbNNg8
(g9
g10
NtRp85747
(dp85748
g13
Nsg14
Nsg15
VFALSE
p85749
sbNNg8
(g9
g10
NtRp85750
(dp85751
g13
Nsg14
Nsg15
VFALSE
p85752
sbNg8
(g9
g10
NtRp85753
(dp85754
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f8814c7-eb8b-4674-9955-1ebf485cfc57.png
p85755
sbNg8
(g9
g10
NtRp85756
(dp85757
g13
Nsg14
Nsg15
V2019-06-04
p85758
sbNg8
(g9
g10
NtRp85759
(dp85760
g13
Nsg14
Nsg15
VHabitats and biotopes
p85761
sbg8
(g9
g10
NtRp85762
(dp85763
g13
Nsg14
Nsg15
Vhabitat|heathland|natural area|terrestrial ecosystem|tundra
p85764
sbg8
(g9
g10
NtRp85765
(dp85766
g13
Nsg14
Nsg15
Vvector
p85767
sbg8
(g9
g10
NtRp85768
(dp85769
g13
Nsg14
Nsg15
VFGeo
p85770
sbNg8
(g9
g10
NtRp85771
(dp85772
g13
Nsg14
Nsg15
V1:10000000
p85773
sbNg8
(g9
g10
NtRp85774
(dp85775
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). \u000aMore information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.
p85776
sbg8
(g9
g10
NtRp85777
(dp85778
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f8814c7-eb8b-4674-9955-1ebf485cfc57
p85779
sbg8
(g9
g10
NtRp85780
(dp85781
g13
Nsg14
g74
sg15
V1940
p85782
sbg8
(g9
g10
NtRp85783
(dp85784
g13
Nsg14
g74
sg15
V2017
p85785
sbg8
(g9
g10
NtRp85786
(dp85787
g13
Nsg14
Nsg15
VTRUE
p85788
sbg8
(g9
g10
NtRp85789
(dp85790
g13
Nsg14
Nsg15
VEEA39
p85791
sbg8
(g9
g10
NtRp85792
(dp85793
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85794
sbg8
(g9
g10
NtRp85795
(dp85796
g13
Nsg14
Nsg15
VFALSE
p85797
sbg8
(g9
g10
NtRp85798
(dp85799
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85800
sbg8
(g9
g10
NtRp85801
(dp85802
g13
Nsg14
Nsg15
VFALSE
p85803
sbNNNNNNNg8
(g9
g10
NtRp85804
(dp85805
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85806
(dp85807
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85808
(dp85809
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-s_p_1940-2017_v01_r00
p85810
sbNNtp85811
a(g8
(g9
g10
NtRp85812
(dp85813
g13
Nsg14
Nsg15
V99421829-bc64-4c0f-bda8-b04c827ef447
p85814
sbNg8
(g9
g10
NtRp85815
(dp85816
g13
Nsg14
Nsg15
VConservation status of species 2007-2012 for public access aggregated at EU-27 level, Sep. 2014
p85817
sbNNNNNg8
(g9
g10
NtRp85818
(dp85819
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aThis version does not include species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.
p85820
sbg8
(g23
g10
NtRp85821
(dp85822
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1
p85823
sbNg8
(g9
g10
NtRp85824
(dp85825
g13
Nsg14
Nsg15
VFALSE
p85826
sbNNNg8
(g9
g10
NtRp85827
(dp85828
g13
Nsg14
Nsg15
VFALSE
p85829
sbNNg8
(g9
g10
NtRp85830
(dp85831
g13
Nsg14
Nsg15
VFALSE
p85832
sbNNg8
(g9
g10
NtRp85833
(dp85834
g13
Nsg14
Nsg15
VFALSE
p85835
sbNg8
(g9
g10
NtRp85836
(dp85837
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/99421829-bc64-4c0f-bda8-b04c827ef447.png
p85838
sbg8
(g9
g10
NtRp85839
(dp85840
g13
Nsg14
Nsg15
VEPSG:3035
p85841
sbg8
(g9
g10
NtRp85842
(dp85843
g13
Nsg14
Nsg15
V2019-06-04
p85844
sbNg8
(g9
g10
NtRp85845
(dp85846
g13
Nsg14
Nsg15
VHabitats and biotopes|Species distribution
p85847
sbg8
(g9
g10
NtRp85848
(dp85849
g13
Nsg14
Nsg15
VEC directive|European Union|habitat|nature conservation|nature conservation policy|species
p85850
sbg8
(g9
g10
NtRp85851
(dp85852
g13
Nsg14
Nsg15
Vvector
p85853
sbg8
(g9
g10
NtRp85854
(dp85855
g13
Nsg14
Nsg15
VSHP
p85856
sbNg8
(g9
g10
NtRp85857
(dp85858
g13
Nsg14
Nsg15
V1:10000000
p85859
sbNg8
(g9
g10
NtRp85860
(dp85861
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.
p85862
sbg8
(g9
g10
NtRp85863
(dp85864
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99421829-bc64-4c0f-bda8-b04c827ef447
p85865
sbNNg8
(g9
g10
NtRp85866
(dp85867
g13
Nsg14
Nsg15
VFALSE
p85868
sbg8
(g9
g10
NtRp85869
(dp85870
g13
Nsg14
Nsg15
VEU27
p85871
sbg8
(g9
g10
NtRp85872
(dp85873
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p85874
sbg8
(g9
g10
NtRp85875
(dp85876
g13
Nsg14
Nsg15
VFALSE
p85877
sbg8
(g9
g10
NtRp85878
(dp85879
g13
Nsg14
Nsg15
VEuropean Commission
p85880
sbg8
(g9
g10
NtRp85881
(dp85882
g13
Nsg14
Nsg15
VFALSE
p85883
sbNNNNNNNg8
(g9
g10
NtRp85884
(dp85885
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85886
(dp85887
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85888
(dp85889
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-species-public-agg-eu27_2007-2012
p85890
sbNNtp85891
a(g8
(g9
g10
NtRp85892
(dp85893
g13
Nsg14
Nsg15
Va1be022f-c4be-4a0f-bbc0-f83811a2798df
p85894
sbNg8
(g9
g10
NtRp85895
(dp85896
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (100km), May 2013
p85897
sbNNNNNg8
(g9
g10
NtRp85898
(dp85899
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p85900
sbNNg8
(g9
g10
NtRp85901
(dp85902
g13
Nsg14
Nsg15
VFALSE
p85903
sbNNNg8
(g9
g10
NtRp85904
(dp85905
g13
Nsg14
Nsg15
VFALSE
p85906
sbNNg8
(g9
g10
NtRp85907
(dp85908
g13
Nsg14
Nsg15
VFALSE
p85909
sbNNg8
(g9
g10
NtRp85910
(dp85911
g13
Nsg14
Nsg15
VFALSE
p85912
sbNg8
(g9
g10
NtRp85913
(dp85914
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1be022f-c4be-4a0f-bbc0-f83811a2798df.png
p85915
sbg8
(g9
g10
NtRp85916
(dp85917
g13
Nsg14
Nsg15
VEPSG:3035
p85918
sbg8
(g9
g10
NtRp85919
(dp85920
g13
Nsg14
Nsg15
V2019-07-01
p85921
sbNg8
(g9
g10
NtRp85922
(dp85923
g13
Nsg14
Nsg15
VGeographical grid systems
p85924
sbg8
(g9
g10
NtRp85925
(dp85926
g13
Nsg14
Nsg15
Vgridding
p85927
sbg8
(g9
g10
NtRp85928
(dp85929
g13
Nsg14
Nsg15
Vvector
p85930
sbg8
(g9
g10
NtRp85931
(dp85932
g13
Nsg14
Nsg15
VSHP
p85933
sbNg8
(g9
g10
NtRp85934
(dp85935
g13
Nsg14
Nsg15
V100000m
p85936
sbNg8
(g9
g10
NtRp85937
(dp85938
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p85939
sbg8
(g9
g10
NtRp85940
(dp85941
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1be022f-c4be-4a0f-bbc0-f83811a2798df
p85942
sbNNg8
(g9
g10
NtRp85943
(dp85944
g13
Nsg14
Nsg15
VFALSE
p85945
sbg8
(g9
g10
NtRp85946
(dp85947
g13
Nsg14
Nsg15
VLithuania
p85948
sbg8
(g9
g10
NtRp85949
(dp85950
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p85951
sbg8
(g9
g10
NtRp85952
(dp85953
g13
Nsg14
Nsg15
VFALSE
p85954
sbg8
(g9
g10
NtRp85955
(dp85956
g13
Nsg14
Nsg15
VEuropean Environment Agency
p85957
sbg8
(g9
g10
NtRp85958
(dp85959
g13
Nsg14
Nsg15
VFALSE
p85960
sbNNNNNNNg8
(g9
g10
NtRp85961
(dp85962
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp85963
(dp85964
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp85965
(dp85966
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lt_2013
p85967
sbNNtp85968
a(g8
(g9
g10
NtRp85969
(dp85970
g13
Nsg14
Nsg15
Va25da98d-0df0-420a-bc27-1c486376c72bf
p85971
sbNg8
(g9
g10
NtRp85972
(dp85973
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (10km), May 2013
p85974
sbNNNNNg8
(g9
g10
NtRp85975
(dp85976
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p85977
sbNNg8
(g9
g10
NtRp85978
(dp85979
g13
Nsg14
Nsg15
VFALSE
p85980
sbNNNg8
(g9
g10
NtRp85981
(dp85982
g13
Nsg14
Nsg15
VFALSE
p85983
sbNNg8
(g9
g10
NtRp85984
(dp85985
g13
Nsg14
Nsg15
VFALSE
p85986
sbNNg8
(g9
g10
NtRp85987
(dp85988
g13
Nsg14
Nsg15
VFALSE
p85989
sbNg8
(g9
g10
NtRp85990
(dp85991
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a25da98d-0df0-420a-bc27-1c486376c72bf.png
p85992
sbg8
(g9
g10
NtRp85993
(dp85994
g13
Nsg14
Nsg15
VEPSG:3035
p85995
sbg8
(g9
g10
NtRp85996
(dp85997
g13
Nsg14
Nsg15
V2019-06-21
p85998
sbNg8
(g9
g10
NtRp85999
(dp86000
g13
Nsg14
Nsg15
VGeographical grid systems
p86001
sbg8
(g9
g10
NtRp86002
(dp86003
g13
Nsg14
Nsg15
Vgridding
p86004
sbg8
(g9
g10
NtRp86005
(dp86006
g13
Nsg14
Nsg15
Vvector
p86007
sbg8
(g9
g10
NtRp86008
(dp86009
g13
Nsg14
Nsg15
VSHP
p86010
sbNg8
(g9
g10
NtRp86011
(dp86012
g13
Nsg14
Nsg15
V10000m
p86013
sbNg8
(g9
g10
NtRp86014
(dp86015
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86016
sbg8
(g9
g10
NtRp86017
(dp86018
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a25da98d-0df0-420a-bc27-1c486376c72bf
p86019
sbNNg8
(g9
g10
NtRp86020
(dp86021
g13
Nsg14
Nsg15
VFALSE
p86022
sbg8
(g9
g10
NtRp86023
(dp86024
g13
Nsg14
Nsg15
VBelgium
p86025
sbg8
(g9
g10
NtRp86026
(dp86027
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86028
sbg8
(g9
g10
NtRp86029
(dp86030
g13
Nsg14
Nsg15
VFALSE
p86031
sbg8
(g9
g10
NtRp86032
(dp86033
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86034
sbg8
(g9
g10
NtRp86035
(dp86036
g13
Nsg14
Nsg15
VFALSE
p86037
sbNNNNNNNg8
(g9
g10
NtRp86038
(dp86039
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86040
(dp86041
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86042
(dp86043
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-be_2013
p86044
sbNNtp86045
a(g8
(g9
g10
NtRp86046
(dp86047
g13
Nsg14
Nsg15
Vc2619c28-9a17-4377-bfa6-5ef998f9eacaf
p86048
sbNg8
(g9
g10
NtRp86049
(dp86050
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (100km), May 2013
p86051
sbNNNNNg8
(g9
g10
NtRp86052
(dp86053
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86054
sbNNg8
(g9
g10
NtRp86055
(dp86056
g13
Nsg14
Nsg15
VFALSE
p86057
sbNNNg8
(g9
g10
NtRp86058
(dp86059
g13
Nsg14
Nsg15
VFALSE
p86060
sbNNg8
(g9
g10
NtRp86061
(dp86062
g13
Nsg14
Nsg15
VFALSE
p86063
sbNNg8
(g9
g10
NtRp86064
(dp86065
g13
Nsg14
Nsg15
VFALSE
p86066
sbNg8
(g9
g10
NtRp86067
(dp86068
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2619c28-9a17-4377-bfa6-5ef998f9eacaf.png
p86069
sbg8
(g9
g10
NtRp86070
(dp86071
g13
Nsg14
Nsg15
VEPSG:3035
p86072
sbg8
(g9
g10
NtRp86073
(dp86074
g13
Nsg14
Nsg15
V2019-06-21
p86075
sbNg8
(g9
g10
NtRp86076
(dp86077
g13
Nsg14
Nsg15
VGeographical grid systems
p86078
sbg8
(g9
g10
NtRp86079
(dp86080
g13
Nsg14
Nsg15
Vgridding
p86081
sbg8
(g9
g10
NtRp86082
(dp86083
g13
Nsg14
Nsg15
Vvector
p86084
sbg8
(g9
g10
NtRp86085
(dp86086
g13
Nsg14
Nsg15
VSHP
p86087
sbNg8
(g9
g10
NtRp86088
(dp86089
g13
Nsg14
Nsg15
V100000m
p86090
sbNg8
(g9
g10
NtRp86091
(dp86092
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86093
sbg8
(g9
g10
NtRp86094
(dp86095
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2619c28-9a17-4377-bfa6-5ef998f9eacaf
p86096
sbNNg8
(g9
g10
NtRp86097
(dp86098
g13
Nsg14
Nsg15
VFALSE
p86099
sbg8
(g9
g10
NtRp86100
(dp86101
g13
Nsg14
Nsg15
VCzechia
p86102
sbg8
(g9
g10
NtRp86103
(dp86104
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86105
sbg8
(g9
g10
NtRp86106
(dp86107
g13
Nsg14
Nsg15
VFALSE
p86108
sbg8
(g9
g10
NtRp86109
(dp86110
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86111
sbg8
(g9
g10
NtRp86112
(dp86113
g13
Nsg14
Nsg15
VFALSE
p86114
sbNNNNNNNg8
(g9
g10
NtRp86115
(dp86116
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86117
(dp86118
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86119
(dp86120
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-cz_2013
p86121
sbNNtp86122
a(g8
(g9
g10
NtRp86123
(dp86124
g13
Nsg14
Nsg15
V4049bf5d-134c-4d02-b33a-54d7058cd67bf
p86125
sbNg8
(g9
g10
NtRp86126
(dp86127
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (10km), May 2013
p86128
sbNNNNNg8
(g9
g10
NtRp86129
(dp86130
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86131
sbNNg8
(g9
g10
NtRp86132
(dp86133
g13
Nsg14
Nsg15
VFALSE
p86134
sbNNNg8
(g9
g10
NtRp86135
(dp86136
g13
Nsg14
Nsg15
VFALSE
p86137
sbNNg8
(g9
g10
NtRp86138
(dp86139
g13
Nsg14
Nsg15
VFALSE
p86140
sbNNg8
(g9
g10
NtRp86141
(dp86142
g13
Nsg14
Nsg15
VFALSE
p86143
sbNg8
(g9
g10
NtRp86144
(dp86145
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4049bf5d-134c-4d02-b33a-54d7058cd67bf.png
p86146
sbg8
(g9
g10
NtRp86147
(dp86148
g13
Nsg14
Nsg15
VEPSG:3035
p86149
sbg8
(g9
g10
NtRp86150
(dp86151
g13
Nsg14
Nsg15
V2019-06-21
p86152
sbNg8
(g9
g10
NtRp86153
(dp86154
g13
Nsg14
Nsg15
VGeographical grid systems
p86155
sbg8
(g9
g10
NtRp86156
(dp86157
g13
Nsg14
Nsg15
Vgridding
p86158
sbg8
(g9
g10
NtRp86159
(dp86160
g13
Nsg14
Nsg15
Vvector
p86161
sbg8
(g9
g10
NtRp86162
(dp86163
g13
Nsg14
Nsg15
VSHP
p86164
sbNg8
(g9
g10
NtRp86165
(dp86166
g13
Nsg14
Nsg15
V10000m
p86167
sbNg8
(g9
g10
NtRp86168
(dp86169
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86170
sbg8
(g9
g10
NtRp86171
(dp86172
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4049bf5d-134c-4d02-b33a-54d7058cd67bf
p86173
sbNNg8
(g9
g10
NtRp86174
(dp86175
g13
Nsg14
Nsg15
VFALSE
p86176
sbg8
(g9
g10
NtRp86177
(dp86178
g13
Nsg14
Nsg15
VDenmark
p86179
sbg8
(g9
g10
NtRp86180
(dp86181
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86182
sbg8
(g9
g10
NtRp86183
(dp86184
g13
Nsg14
Nsg15
VFALSE
p86185
sbg8
(g9
g10
NtRp86186
(dp86187
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86188
sbg8
(g9
g10
NtRp86189
(dp86190
g13
Nsg14
Nsg15
VFALSE
p86191
sbNNNNNNNg8
(g9
g10
NtRp86192
(dp86193
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86194
(dp86195
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86196
(dp86197
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-dk_2013
p86198
sbNNtp86199
a(g8
(g9
g10
NtRp86200
(dp86201
g13
Nsg14
Nsg15
V0c1533ab-2766-4317-a023-b00925f340c8f
p86202
sbNg8
(g9
g10
NtRp86203
(dp86204
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (1km), May 2013
p86205
sbNNNNNg8
(g9
g10
NtRp86206
(dp86207
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86208
sbNNg8
(g9
g10
NtRp86209
(dp86210
g13
Nsg14
Nsg15
VFALSE
p86211
sbNNNg8
(g9
g10
NtRp86212
(dp86213
g13
Nsg14
Nsg15
VFALSE
p86214
sbNNg8
(g9
g10
NtRp86215
(dp86216
g13
Nsg14
Nsg15
VFALSE
p86217
sbNNg8
(g9
g10
NtRp86218
(dp86219
g13
Nsg14
Nsg15
VFALSE
p86220
sbNg8
(g9
g10
NtRp86221
(dp86222
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1533ab-2766-4317-a023-b00925f340c8f.png
p86223
sbg8
(g9
g10
NtRp86224
(dp86225
g13
Nsg14
Nsg15
VEPSG:3035
p86226
sbg8
(g9
g10
NtRp86227
(dp86228
g13
Nsg14
Nsg15
V2019-07-01
p86229
sbNg8
(g9
g10
NtRp86230
(dp86231
g13
Nsg14
Nsg15
VGeographical grid systems
p86232
sbg8
(g9
g10
NtRp86233
(dp86234
g13
Nsg14
Nsg15
Vgridding
p86235
sbg8
(g9
g10
NtRp86236
(dp86237
g13
Nsg14
Nsg15
Vvector
p86238
sbg8
(g9
g10
NtRp86239
(dp86240
g13
Nsg14
Nsg15
VSHP
p86241
sbNg8
(g9
g10
NtRp86242
(dp86243
g13
Nsg14
Nsg15
V1000m
p86244
sbNg8
(g9
g10
NtRp86245
(dp86246
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86247
sbg8
(g9
g10
NtRp86248
(dp86249
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1533ab-2766-4317-a023-b00925f340c8f
p86250
sbNNg8
(g9
g10
NtRp86251
(dp86252
g13
Nsg14
Nsg15
VFALSE
p86253
sbg8
(g9
g10
NtRp86254
(dp86255
g13
Nsg14
Nsg15
VLatvia
p86256
sbg8
(g9
g10
NtRp86257
(dp86258
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86259
sbg8
(g9
g10
NtRp86260
(dp86261
g13
Nsg14
Nsg15
VFALSE
p86262
sbg8
(g9
g10
NtRp86263
(dp86264
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86265
sbg8
(g9
g10
NtRp86266
(dp86267
g13
Nsg14
Nsg15
VFALSE
p86268
sbNNNNNNNg8
(g9
g10
NtRp86269
(dp86270
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86271
(dp86272
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86273
(dp86274
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lv_2013
p86275
sbNNtp86276
a(g8
(g9
g10
NtRp86277
(dp86278
g13
Nsg14
Nsg15
Vf9447505-c78c-4abe-9f8a-9e8fc78175c1f
p86279
sbNg8
(g9
g10
NtRp86280
(dp86281
g13
Nsg14
Nsg15
VEEA reference grid for Hungary (100km), May 2013
p86282
sbNNNNNg8
(g9
g10
NtRp86283
(dp86284
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86285
sbNNg8
(g9
g10
NtRp86286
(dp86287
g13
Nsg14
Nsg15
VFALSE
p86288
sbNNNg8
(g9
g10
NtRp86289
(dp86290
g13
Nsg14
Nsg15
VFALSE
p86291
sbNNg8
(g9
g10
NtRp86292
(dp86293
g13
Nsg14
Nsg15
VFALSE
p86294
sbNNg8
(g9
g10
NtRp86295
(dp86296
g13
Nsg14
Nsg15
VFALSE
p86297
sbNg8
(g9
g10
NtRp86298
(dp86299
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9447505-c78c-4abe-9f8a-9e8fc78175c1f.png
p86300
sbg8
(g9
g10
NtRp86301
(dp86302
g13
Nsg14
Nsg15
VEPSG:3035
p86303
sbg8
(g9
g10
NtRp86304
(dp86305
g13
Nsg14
Nsg15
V2019-07-01
p86306
sbNg8
(g9
g10
NtRp86307
(dp86308
g13
Nsg14
Nsg15
VGeographical grid systems
p86309
sbg8
(g9
g10
NtRp86310
(dp86311
g13
Nsg14
Nsg15
Vgridding
p86312
sbg8
(g9
g10
NtRp86313
(dp86314
g13
Nsg14
Nsg15
Vvector
p86315
sbg8
(g9
g10
NtRp86316
(dp86317
g13
Nsg14
Nsg15
VSHP
p86318
sbNg8
(g9
g10
NtRp86319
(dp86320
g13
Nsg14
Nsg15
V100000m
p86321
sbNg8
(g9
g10
NtRp86322
(dp86323
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86324
sbg8
(g9
g10
NtRp86325
(dp86326
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9447505-c78c-4abe-9f8a-9e8fc78175c1f
p86327
sbNNg8
(g9
g10
NtRp86328
(dp86329
g13
Nsg14
Nsg15
VFALSE
p86330
sbg8
(g9
g10
NtRp86331
(dp86332
g13
Nsg14
Nsg15
VHungary
p86333
sbg8
(g9
g10
NtRp86334
(dp86335
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86336
sbg8
(g9
g10
NtRp86337
(dp86338
g13
Nsg14
Nsg15
VFALSE
p86339
sbg8
(g9
g10
NtRp86340
(dp86341
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86342
sbg8
(g9
g10
NtRp86343
(dp86344
g13
Nsg14
Nsg15
VFALSE
p86345
sbNNNNNNNg8
(g9
g10
NtRp86346
(dp86347
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86348
(dp86349
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86350
(dp86351
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-hu_2013
p86352
sbNNtp86353
a(g8
(g9
g10
NtRp86354
(dp86355
g13
Nsg14
Nsg15
V20662887-fe38-4e2f-a37e-896141ddeb15f
p86356
sbNg8
(g9
g10
NtRp86357
(dp86358
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (100km), May 2013
p86359
sbNNNNNg8
(g9
g10
NtRp86360
(dp86361
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86362
sbNNg8
(g9
g10
NtRp86363
(dp86364
g13
Nsg14
Nsg15
VFALSE
p86365
sbNNNg8
(g9
g10
NtRp86366
(dp86367
g13
Nsg14
Nsg15
VFALSE
p86368
sbNNg8
(g9
g10
NtRp86369
(dp86370
g13
Nsg14
Nsg15
VFALSE
p86371
sbNNg8
(g9
g10
NtRp86372
(dp86373
g13
Nsg14
Nsg15
VFALSE
p86374
sbNg8
(g9
g10
NtRp86375
(dp86376
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20662887-fe38-4e2f-a37e-896141ddeb15f.png
p86377
sbg8
(g9
g10
NtRp86378
(dp86379
g13
Nsg14
Nsg15
VEPSG:3035
p86380
sbg8
(g9
g10
NtRp86381
(dp86382
g13
Nsg14
Nsg15
V2019-07-02
p86383
sbNg8
(g9
g10
NtRp86384
(dp86385
g13
Nsg14
Nsg15
VGeographical grid systems
p86386
sbg8
(g9
g10
NtRp86387
(dp86388
g13
Nsg14
Nsg15
Vgridding
p86389
sbg8
(g9
g10
NtRp86390
(dp86391
g13
Nsg14
Nsg15
Vvector
p86392
sbg8
(g9
g10
NtRp86393
(dp86394
g13
Nsg14
Nsg15
VSHP
p86395
sbNg8
(g9
g10
NtRp86396
(dp86397
g13
Nsg14
Nsg15
V100000m
p86398
sbNg8
(g9
g10
NtRp86399
(dp86400
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86401
sbg8
(g9
g10
NtRp86402
(dp86403
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20662887-fe38-4e2f-a37e-896141ddeb15f
p86404
sbg8
(g9
g10
NtRp86405
(dp86406
g13
Nsg14
g74
sg15
V2013
p86407
sbg8
(g9
g10
NtRp86408
(dp86409
g13
Nsg14
g74
sg15
V2013
p86410
sbg8
(g9
g10
NtRp86411
(dp86412
g13
Nsg14
Nsg15
VFALSE
p86413
sbg8
(g9
g10
NtRp86414
(dp86415
g13
Nsg14
Nsg15
VPortugal
p86416
sbg8
(g9
g10
NtRp86417
(dp86418
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86419
sbg8
(g9
g10
NtRp86420
(dp86421
g13
Nsg14
Nsg15
VFALSE
p86422
sbg8
(g9
g10
NtRp86423
(dp86424
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86425
sbg8
(g9
g10
NtRp86426
(dp86427
g13
Nsg14
Nsg15
VFALSE
p86428
sbNNNNNNNg8
(g9
g10
NtRp86429
(dp86430
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86431
(dp86432
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86433
(dp86434
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt_2013
p86435
sbNNtp86436
a(g8
(g9
g10
NtRp86437
(dp86438
g13
Nsg14
Nsg15
V10ade0f6-5cf8-4bf8-8db8-313081857af3f
p86439
sbNg8
(g9
g10
NtRp86440
(dp86441
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (10km), May 2013
p86442
sbNNNNNg8
(g9
g10
NtRp86443
(dp86444
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86445
sbNNg8
(g9
g10
NtRp86446
(dp86447
g13
Nsg14
Nsg15
VFALSE
p86448
sbNNNg8
(g9
g10
NtRp86449
(dp86450
g13
Nsg14
Nsg15
VFALSE
p86451
sbNNg8
(g9
g10
NtRp86452
(dp86453
g13
Nsg14
Nsg15
VFALSE
p86454
sbNNg8
(g9
g10
NtRp86455
(dp86456
g13
Nsg14
Nsg15
VFALSE
p86457
sbNg8
(g9
g10
NtRp86458
(dp86459
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/10ade0f6-5cf8-4bf8-8db8-313081857af3f.png
p86460
sbg8
(g9
g10
NtRp86461
(dp86462
g13
Nsg14
Nsg15
VEPSG:3035
p86463
sbg8
(g9
g10
NtRp86464
(dp86465
g13
Nsg14
Nsg15
V2019-07-02
p86466
sbNg8
(g9
g10
NtRp86467
(dp86468
g13
Nsg14
Nsg15
VGeographical grid systems
p86469
sbg8
(g9
g10
NtRp86470
(dp86471
g13
Nsg14
Nsg15
Vgridding
p86472
sbg8
(g9
g10
NtRp86473
(dp86474
g13
Nsg14
Nsg15
Vvector
p86475
sbg8
(g9
g10
NtRp86476
(dp86477
g13
Nsg14
Nsg15
VSHP
p86478
sbNg8
(g9
g10
NtRp86479
(dp86480
g13
Nsg14
Nsg15
V10000m
p86481
sbNg8
(g9
g10
NtRp86482
(dp86483
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86484
sbg8
(g9
g10
NtRp86485
(dp86486
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10ade0f6-5cf8-4bf8-8db8-313081857af3f
p86487
sbg8
(g9
g10
NtRp86488
(dp86489
g13
Nsg14
g74
sg15
V2013
p86490
sbg8
(g9
g10
NtRp86491
(dp86492
g13
Nsg14
g74
sg15
V2013
p86493
sbg8
(g9
g10
NtRp86494
(dp86495
g13
Nsg14
Nsg15
VFALSE
p86496
sbg8
(g9
g10
NtRp86497
(dp86498
g13
Nsg14
Nsg15
VSweden
p86499
sbg8
(g9
g10
NtRp86500
(dp86501
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86502
sbg8
(g9
g10
NtRp86503
(dp86504
g13
Nsg14
Nsg15
VFALSE
p86505
sbg8
(g9
g10
NtRp86506
(dp86507
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86508
sbg8
(g9
g10
NtRp86509
(dp86510
g13
Nsg14
Nsg15
VFALSE
p86511
sbNNNNNNNg8
(g9
g10
NtRp86512
(dp86513
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86514
(dp86515
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86516
(dp86517
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-se_2013
p86518
sbNNtp86519
a(g8
(g9
g10
NtRp86520
(dp86521
g13
Nsg14
Nsg15
Ve8d89987-d6e5-43f0-b8c4-ced7ace7c0dff
p86522
sbNg8
(g9
g10
NtRp86523
(dp86524
g13
Nsg14
Nsg15
VEEA reference grid for Germany (100km), May 2013
p86525
sbNNNNNg8
(g9
g10
NtRp86526
(dp86527
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86528
sbNNg8
(g9
g10
NtRp86529
(dp86530
g13
Nsg14
Nsg15
VFALSE
p86531
sbNNNg8
(g9
g10
NtRp86532
(dp86533
g13
Nsg14
Nsg15
VFALSE
p86534
sbNNg8
(g9
g10
NtRp86535
(dp86536
g13
Nsg14
Nsg15
VFALSE
p86537
sbNNg8
(g9
g10
NtRp86538
(dp86539
g13
Nsg14
Nsg15
VFALSE
p86540
sbNg8
(g9
g10
NtRp86541
(dp86542
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff.png
p86543
sbg8
(g9
g10
NtRp86544
(dp86545
g13
Nsg14
Nsg15
VEPSG:3035
p86546
sbg8
(g9
g10
NtRp86547
(dp86548
g13
Nsg14
Nsg15
V2019-06-27
p86549
sbNg8
(g9
g10
NtRp86550
(dp86551
g13
Nsg14
Nsg15
VGeographical grid systems
p86552
sbg8
(g9
g10
NtRp86553
(dp86554
g13
Nsg14
Nsg15
Vgridding
p86555
sbg8
(g9
g10
NtRp86556
(dp86557
g13
Nsg14
Nsg15
Vvector
p86558
sbg8
(g9
g10
NtRp86559
(dp86560
g13
Nsg14
Nsg15
VSHP
p86561
sbNg8
(g9
g10
NtRp86562
(dp86563
g13
Nsg14
Nsg15
V100000m
p86564
sbNg8
(g9
g10
NtRp86565
(dp86566
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86567
sbg8
(g9
g10
NtRp86568
(dp86569
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff
p86570
sbg8
(g9
g10
NtRp86571
(dp86572
g13
Nsg14
g74
sg15
V2013
p86573
sbg8
(g9
g10
NtRp86574
(dp86575
g13
Nsg14
g74
sg15
V2013
p86576
sbg8
(g9
g10
NtRp86577
(dp86578
g13
Nsg14
Nsg15
VFALSE
p86579
sbg8
(g9
g10
NtRp86580
(dp86581
g13
Nsg14
Nsg15
VGermany
p86582
sbg8
(g9
g10
NtRp86583
(dp86584
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86585
sbg8
(g9
g10
NtRp86586
(dp86587
g13
Nsg14
Nsg15
VFALSE
p86588
sbg8
(g9
g10
NtRp86589
(dp86590
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86591
sbg8
(g9
g10
NtRp86592
(dp86593
g13
Nsg14
Nsg15
VFALSE
p86594
sbNNNNNNNg8
(g9
g10
NtRp86595
(dp86596
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86597
(dp86598
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86599
(dp86600
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-de_2013
p86601
sbNNtp86602
a(g8
(g9
g10
NtRp86603
(dp86604
g13
Nsg14
Nsg15
V98bd2c15-1a6d-4717-9850-01e3a44fe60ef
p86605
sbNg8
(g9
g10
NtRp86606
(dp86607
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (1km), May 2013
p86608
sbNNNNNg8
(g9
g10
NtRp86609
(dp86610
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86611
sbNNg8
(g9
g10
NtRp86612
(dp86613
g13
Nsg14
Nsg15
VFALSE
p86614
sbNNNg8
(g9
g10
NtRp86615
(dp86616
g13
Nsg14
Nsg15
VFALSE
p86617
sbNNg8
(g9
g10
NtRp86618
(dp86619
g13
Nsg14
Nsg15
VFALSE
p86620
sbNNg8
(g9
g10
NtRp86621
(dp86622
g13
Nsg14
Nsg15
VFALSE
p86623
sbNg8
(g9
g10
NtRp86624
(dp86625
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/98bd2c15-1a6d-4717-9850-01e3a44fe60ef.png
p86626
sbg8
(g9
g10
NtRp86627
(dp86628
g13
Nsg14
Nsg15
VEPSG:3035
p86629
sbg8
(g9
g10
NtRp86630
(dp86631
g13
Nsg14
Nsg15
V2019-07-01
p86632
sbNg8
(g9
g10
NtRp86633
(dp86634
g13
Nsg14
Nsg15
VGeographical grid systems
p86635
sbg8
(g9
g10
NtRp86636
(dp86637
g13
Nsg14
Nsg15
Vgridding
p86638
sbg8
(g9
g10
NtRp86639
(dp86640
g13
Nsg14
Nsg15
Vvector
p86641
sbg8
(g9
g10
NtRp86642
(dp86643
g13
Nsg14
Nsg15
VSHP
p86644
sbNg8
(g9
g10
NtRp86645
(dp86646
g13
Nsg14
Nsg15
V1000m
p86647
sbNg8
(g9
g10
NtRp86648
(dp86649
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86650
sbg8
(g9
g10
NtRp86651
(dp86652
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60ef
p86653
sbg8
(g9
g10
NtRp86654
(dp86655
g13
Nsg14
g74
sg15
V2013
p86656
sbg8
(g9
g10
NtRp86657
(dp86658
g13
Nsg14
g74
sg15
V2013
p86659
sbg8
(g9
g10
NtRp86660
(dp86661
g13
Nsg14
Nsg15
VFALSE
p86662
sbg8
(g9
g10
NtRp86663
(dp86664
g13
Nsg14
Nsg15
VMontenegro
p86665
sbg8
(g9
g10
NtRp86666
(dp86667
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86668
sbg8
(g9
g10
NtRp86669
(dp86670
g13
Nsg14
Nsg15
VFALSE
p86671
sbg8
(g9
g10
NtRp86672
(dp86673
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86674
sbg8
(g9
g10
NtRp86675
(dp86676
g13
Nsg14
Nsg15
VFALSE
p86677
sbNNNNNNNg8
(g9
g10
NtRp86678
(dp86679
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86680
(dp86681
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86682
(dp86683
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-me_2013
p86684
sbNNtp86685
a(g8
(g9
g10
NtRp86686
(dp86687
g13
Nsg14
Nsg15
V74d822c2-db74-4438-8610-5a2e0426adb8f
p86688
sbNg8
(g9
g10
NtRp86689
(dp86690
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (100km), May 2013
p86691
sbNNNNNg8
(g9
g10
NtRp86692
(dp86693
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86694
sbNNg8
(g9
g10
NtRp86695
(dp86696
g13
Nsg14
Nsg15
VFALSE
p86697
sbNNNg8
(g9
g10
NtRp86698
(dp86699
g13
Nsg14
Nsg15
VFALSE
p86700
sbNNg8
(g9
g10
NtRp86701
(dp86702
g13
Nsg14
Nsg15
VFALSE
p86703
sbNNg8
(g9
g10
NtRp86704
(dp86705
g13
Nsg14
Nsg15
VFALSE
p86706
sbNg8
(g9
g10
NtRp86707
(dp86708
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74d822c2-db74-4438-8610-5a2e0426adb8f.png
p86709
sbg8
(g9
g10
NtRp86710
(dp86711
g13
Nsg14
Nsg15
VEPSG:3035
p86712
sbg8
(g9
g10
NtRp86713
(dp86714
g13
Nsg14
Nsg15
V2019-07-01
p86715
sbNg8
(g9
g10
NtRp86716
(dp86717
g13
Nsg14
Nsg15
VGeographical grid systems
p86718
sbg8
(g9
g10
NtRp86719
(dp86720
g13
Nsg14
Nsg15
Vgridding
p86721
sbg8
(g9
g10
NtRp86722
(dp86723
g13
Nsg14
Nsg15
Vvector
p86724
sbg8
(g9
g10
NtRp86725
(dp86726
g13
Nsg14
Nsg15
VSHP
p86727
sbNg8
(g9
g10
NtRp86728
(dp86729
g13
Nsg14
Nsg15
V100000m
p86730
sbNg8
(g9
g10
NtRp86731
(dp86732
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86733
sbg8
(g9
g10
NtRp86734
(dp86735
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74d822c2-db74-4438-8610-5a2e0426adb8f
p86736
sbg8
(g9
g10
NtRp86737
(dp86738
g13
Nsg14
g74
sg15
V2013
p86739
sbg8
(g9
g10
NtRp86740
(dp86741
g13
Nsg14
g74
sg15
V2013
p86742
sbg8
(g9
g10
NtRp86743
(dp86744
g13
Nsg14
Nsg15
VFALSE
p86745
sbg8
(g9
g10
NtRp86746
(dp86747
g13
Nsg14
Nsg15
VNetherlands
p86748
sbg8
(g9
g10
NtRp86749
(dp86750
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86751
sbg8
(g9
g10
NtRp86752
(dp86753
g13
Nsg14
Nsg15
VFALSE
p86754
sbg8
(g9
g10
NtRp86755
(dp86756
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86757
sbg8
(g9
g10
NtRp86758
(dp86759
g13
Nsg14
Nsg15
VFALSE
p86760
sbNNNNNNNg8
(g9
g10
NtRp86761
(dp86762
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86763
(dp86764
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86765
(dp86766
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-nl_2013
p86767
sbNNtp86768
a(g8
(g9
g10
NtRp86769
(dp86770
g13
Nsg14
Nsg15
Vd86223b0-8672-4abc-816b-1a2e2d0b5aa5
p86771
sbNg8
(g9
g10
NtRp86772
(dp86773
g13
Nsg14
Nsg15
VGISCO - Communes 2013, Dec. 2015
p86774
sbNNNNNg8
(g9
g10
NtRp86775
(dp86776
g13
Nsg14
Nsg15
VThis dataset shows pan-European administrative boundaries down to commune level version 2013. Communes are equivalent to Local Administrative Units, level 2 (LAU2), LAU2 for Greece (EL) are subject to confirmation. The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. \u000aThe data set is based on EuroBoundaryMap v. 8.x from Eurogeographics. Geographical extent covers the EU28, EFTA countries, and candidate countries. The scale of the data set is 1:100 000.  \u000aThis metadata only refers to the 1:100k version of this dataset and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (COMM_2013.xml) is provided together with the dataset.\u000aA generalised version of this dataset at 1:1Mio is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/communes#communes13. Note the generalised version should be used for cartographic purposes.
p86777
sbNNg8
(g9
g10
NtRp86778
(dp86779
g13
Nsg14
Nsg15
VFALSE
p86780
sbNNNg8
(g9
g10
NtRp86781
(dp86782
g13
Nsg14
Nsg15
VFALSE
p86783
sbNNg8
(g9
g10
NtRp86784
(dp86785
g13
Nsg14
Nsg15
VFALSE
p86786
sbNNg8
(g9
g10
NtRp86787
(dp86788
g13
Nsg14
Nsg15
VFALSE
p86789
sbNg8
(g9
g10
NtRp86790
(dp86791
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d86223b0-8672-4abc-816b-1a2e2d0b5aa5.png
p86792
sbg8
(g9
g10
NtRp86793
(dp86794
g13
Nsg14
Nsg15
VEPSG:4258
p86795
sbg8
(g9
g10
NtRp86796
(dp86797
g13
Nsg14
Nsg15
V2019-06-04
p86798
sbNg8
(g9
g10
NtRp86799
(dp86800
g13
Nsg14
Nsg15
VAdministrative units
p86801
sbg8
(g9
g10
NtRp86802
(dp86803
g13
Nsg14
Nsg15
Vadministrative boundary
p86804
sbg8
(g9
g10
NtRp86805
(dp86806
g13
Nsg14
Nsg15
Vvector
p86807
sbg8
(g9
g10
NtRp86808
(dp86809
g13
Nsg14
Nsg15
VFGeo
p86810
sbNg8
(g9
g10
NtRp86811
(dp86812
g13
Nsg14
Nsg15
V1:1000000
p86813
sbNg8
(g9
g10
NtRp86814
(dp86815
g13
Nsg14
Nsg15
VThe dataset is based on the geometry from EuroBoundary Map v8.x (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_201, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the COMM_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label.
p86816
sbg8
(g9
g10
NtRp86817
(dp86818
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d86223b0-8672-4abc-816b-1a2e2d0b5aa5
p86819
sbg8
(g9
g10
NtRp86820
(dp86821
g13
Nsg14
g74
sg15
V2013
p86822
sbg8
(g9
g10
NtRp86823
(dp86824
g13
Nsg14
g74
sg15
V2013
p86825
sbg8
(g9
g10
NtRp86826
(dp86827
g13
Nsg14
Nsg15
VFALSE
p86828
sbg8
(g9
g10
NtRp86829
(dp86830
g13
Nsg14
Nsg15
VEFTA4|EU28|Kosovo|Moldova|North Macedonia|Serbia
p86831
sbg8
(g9
g10
NtRp86832
(dp86833
g13
Nsg14
Nsg15
VThe Commission, its Executive Agencies and European Environmental Agency may use the dataset under usage restrictions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. Contractors of the Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu . Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.
p86834
sbg8
(g9
g10
NtRp86835
(dp86836
g13
Nsg14
Nsg15
VFALSE
p86837
sbg8
(g9
g10
NtRp86838
(dp86839
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p86840
sbg8
(g9
g10
NtRp86841
(dp86842
g13
Nsg14
Nsg15
VFALSE
p86843
sbNNNNNNNg8
(g9
g10
NtRp86844
(dp86845
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86846
(dp86847
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86848
(dp86849
g13
Nsg14
Nsg15
Veurostat_v_4258_100_k_gisco-communes_2013
p86850
sbNNtp86851
a(g8
(g9
g10
NtRp86852
(dp86853
g13
Nsg14
Nsg15
Vac3b8096-757f-42fc-a0c8-d7953e7e3f48f
p86854
sbNg8
(g9
g10
NtRp86855
(dp86856
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (1km), May 2013
p86857
sbNNNNNg8
(g9
g10
NtRp86858
(dp86859
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86860
sbNNg8
(g9
g10
NtRp86861
(dp86862
g13
Nsg14
Nsg15
VFALSE
p86863
sbNNNg8
(g9
g10
NtRp86864
(dp86865
g13
Nsg14
Nsg15
VFALSE
p86866
sbNNg8
(g9
g10
NtRp86867
(dp86868
g13
Nsg14
Nsg15
VFALSE
p86869
sbNNg8
(g9
g10
NtRp86870
(dp86871
g13
Nsg14
Nsg15
VFALSE
p86872
sbNg8
(g9
g10
NtRp86873
(dp86874
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f.png
p86875
sbg8
(g9
g10
NtRp86876
(dp86877
g13
Nsg14
Nsg15
VEPSG:3035
p86878
sbg8
(g9
g10
NtRp86879
(dp86880
g13
Nsg14
Nsg15
V2019-07-02
p86881
sbNg8
(g9
g10
NtRp86882
(dp86883
g13
Nsg14
Nsg15
VGeographical grid systems
p86884
sbg8
(g9
g10
NtRp86885
(dp86886
g13
Nsg14
Nsg15
Vgridding
p86887
sbg8
(g9
g10
NtRp86888
(dp86889
g13
Nsg14
Nsg15
Vvector
p86890
sbg8
(g9
g10
NtRp86891
(dp86892
g13
Nsg14
Nsg15
VSHP
p86893
sbNg8
(g9
g10
NtRp86894
(dp86895
g13
Nsg14
Nsg15
V1000m
p86896
sbNg8
(g9
g10
NtRp86897
(dp86898
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86899
sbg8
(g9
g10
NtRp86900
(dp86901
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f
p86902
sbg8
(g9
g10
NtRp86903
(dp86904
g13
Nsg14
g74
sg15
V2013
p86905
sbg8
(g9
g10
NtRp86906
(dp86907
g13
Nsg14
g74
sg15
V2013
p86908
sbg8
(g9
g10
NtRp86909
(dp86910
g13
Nsg14
Nsg15
VFALSE
p86911
sbg8
(g9
g10
NtRp86912
(dp86913
g13
Nsg14
Nsg15
VUnited Kingdom
p86914
sbg8
(g9
g10
NtRp86915
(dp86916
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p86917
sbg8
(g9
g10
NtRp86918
(dp86919
g13
Nsg14
Nsg15
VFALSE
p86920
sbg8
(g9
g10
NtRp86921
(dp86922
g13
Nsg14
Nsg15
VEuropean Environment Agency
p86923
sbg8
(g9
g10
NtRp86924
(dp86925
g13
Nsg14
Nsg15
VFALSE
p86926
sbNNNNNNNg8
(g9
g10
NtRp86927
(dp86928
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp86929
(dp86930
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp86931
(dp86932
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gb_2013
p86933
sbNNtp86934
a(g8
(g9
g10
NtRp86935
(dp86936
g13
Nsg14
Nsg15
Ve902b716-5c5f-4baf-a48b-a74c8e6d2467f
p86937
sbNg8
(g9
g10
NtRp86938
(dp86939
g13
Nsg14
Nsg15
VEEA reference grid for Greece (1km), May 2013
p86940
sbNNNNNg8
(g9
g10
NtRp86941
(dp86942
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p86943
sbNNg8
(g9
g10
NtRp86944
(dp86945
g13
Nsg14
Nsg15
VFALSE
p86946
sbNNNg8
(g9
g10
NtRp86947
(dp86948
g13
Nsg14
Nsg15
VFALSE
p86949
sbNNg8
(g9
g10
NtRp86950
(dp86951
g13
Nsg14
Nsg15
VFALSE
p86952
sbNNg8
(g9
g10
NtRp86953
(dp86954
g13
Nsg14
Nsg15
VFALSE
p86955
sbNg8
(g9
g10
NtRp86956
(dp86957
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e902b716-5c5f-4baf-a48b-a74c8e6d2467f.png
p86958
sbg8
(g9
g10
NtRp86959
(dp86960
g13
Nsg14
Nsg15
VEPSG:3035
p86961
sbg8
(g9
g10
NtRp86962
(dp86963
g13
Nsg14
Nsg15
V2019-07-01
p86964
sbNg8
(g9
g10
NtRp86965
(dp86966
g13
Nsg14
Nsg15
VGeographical grid systems
p86967
sbg8
(g9
g10
NtRp86968
(dp86969
g13
Nsg14
Nsg15
Vgridding
p86970
sbg8
(g9
g10
NtRp86971
(dp86972
g13
Nsg14
Nsg15
Vvector
p86973
sbg8
(g9
g10
NtRp86974
(dp86975
g13
Nsg14
Nsg15
VSHP
p86976
sbNg8
(g9
g10
NtRp86977
(dp86978
g13
Nsg14
Nsg15
V1000m
p86979
sbNg8
(g9
g10
NtRp86980
(dp86981
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p86982
sbg8
(g9
g10
NtRp86983
(dp86984
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e902b716-5c5f-4baf-a48b-a74c8e6d2467f
p86985
sbg8
(g9
g10
NtRp86986
(dp86987
g13
Nsg14
g74
sg15
V2013
p86988
sbg8
(g9
g10
NtRp86989
(dp86990
g13
Nsg14
g74
sg15
V2013
p86991
sbg8
(g9
g10
NtRp86992
(dp86993
g13
Nsg14
Nsg15
VFALSE
p86994
sbg8
(g9
g10
NtRp86995
(dp86996
g13
Nsg14
Nsg15
VGreece
p86997
sbg8
(g9
g10
NtRp86998
(dp86999
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87000
sbg8
(g9
g10
NtRp87001
(dp87002
g13
Nsg14
Nsg15
VFALSE
p87003
sbg8
(g9
g10
NtRp87004
(dp87005
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87006
sbg8
(g9
g10
NtRp87007
(dp87008
g13
Nsg14
Nsg15
VFALSE
p87009
sbNNNNNNNg8
(g9
g10
NtRp87010
(dp87011
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87012
(dp87013
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87014
(dp87015
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gr_2013
p87016
sbNNtp87017
a(g8
(g9
g10
NtRp87018
(dp87019
g13
Nsg14
Nsg15
V9faab055-6e5d-484b-8831-1193503e7f2df
p87020
sbNg8
(g9
g10
NtRp87021
(dp87022
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (100km), May 2013
p87023
sbNNNNNg8
(g9
g10
NtRp87024
(dp87025
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87026
sbNNg8
(g9
g10
NtRp87027
(dp87028
g13
Nsg14
Nsg15
VFALSE
p87029
sbNNNg8
(g9
g10
NtRp87030
(dp87031
g13
Nsg14
Nsg15
VFALSE
p87032
sbNNg8
(g9
g10
NtRp87033
(dp87034
g13
Nsg14
Nsg15
VFALSE
p87035
sbNNg8
(g9
g10
NtRp87036
(dp87037
g13
Nsg14
Nsg15
VFALSE
p87038
sbNg8
(g9
g10
NtRp87039
(dp87040
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faab055-6e5d-484b-8831-1193503e7f2df.png
p87041
sbg8
(g9
g10
NtRp87042
(dp87043
g13
Nsg14
Nsg15
VEPSG:3035
p87044
sbg8
(g9
g10
NtRp87045
(dp87046
g13
Nsg14
Nsg15
V2019-06-21
p87047
sbNg8
(g9
g10
NtRp87048
(dp87049
g13
Nsg14
Nsg15
VGeographical grid systems
p87050
sbg8
(g9
g10
NtRp87051
(dp87052
g13
Nsg14
Nsg15
Vgridding
p87053
sbg8
(g9
g10
NtRp87054
(dp87055
g13
Nsg14
Nsg15
Vvector
p87056
sbg8
(g9
g10
NtRp87057
(dp87058
g13
Nsg14
Nsg15
VSHP
p87059
sbNg8
(g9
g10
NtRp87060
(dp87061
g13
Nsg14
Nsg15
V100000m
p87062
sbNg8
(g9
g10
NtRp87063
(dp87064
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87065
sbg8
(g9
g10
NtRp87066
(dp87067
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faab055-6e5d-484b-8831-1193503e7f2df
p87068
sbg8
(g9
g10
NtRp87069
(dp87070
g13
Nsg14
g74
sg15
V2013
p87071
sbg8
(g9
g10
NtRp87072
(dp87073
g13
Nsg14
g74
sg15
V2013
p87074
sbg8
(g9
g10
NtRp87075
(dp87076
g13
Nsg14
Nsg15
VFALSE
p87077
sbg8
(g9
g10
NtRp87078
(dp87079
g13
Nsg14
Nsg15
VBelgium
p87080
sbg8
(g9
g10
NtRp87081
(dp87082
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87083
sbg8
(g9
g10
NtRp87084
(dp87085
g13
Nsg14
Nsg15
VFALSE
p87086
sbg8
(g9
g10
NtRp87087
(dp87088
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87089
sbg8
(g9
g10
NtRp87090
(dp87091
g13
Nsg14
Nsg15
VFALSE
p87092
sbNNNNNNNg8
(g9
g10
NtRp87093
(dp87094
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87095
(dp87096
g13
Nsg14
Nsg15
V
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Veea_v_3035_100_km_eea-ref-grid-be_2013
p87099
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Nsg14
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V0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f
p87103
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VEEA reference grid for Estonia (100km), May 2013
p87106
sbNNNNNg8
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g13
Nsg14
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VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87109
sbNNg8
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Nsg15
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p87112
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p87115
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p87118
sbNNg8
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p87121
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f.png
p87124
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VEPSG:3035
p87127
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g10
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g13
Nsg14
Nsg15
V2019-06-21
p87130
sbNg8
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g10
NtRp87131
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g13
Nsg14
Nsg15
VGeographical grid systems
p87133
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NtRp87134
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g13
Nsg14
Nsg15
Vgridding
p87136
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g13
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Vvector
p87139
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VSHP
p87142
sbNg8
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g13
Nsg14
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V100000m
p87145
sbNg8
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Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87148
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f
p87151
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g13
Nsg14
g74
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V2013
p87154
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g10
NtRp87155
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g13
Nsg14
g74
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V2013
p87157
sbg8
(g9
g10
NtRp87158
(dp87159
g13
Nsg14
Nsg15
VFALSE
p87160
sbg8
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g10
NtRp87161
(dp87162
g13
Nsg14
Nsg15
VEstonia
p87163
sbg8
(g9
g10
NtRp87164
(dp87165
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87166
sbg8
(g9
g10
NtRp87167
(dp87168
g13
Nsg14
Nsg15
VFALSE
p87169
sbg8
(g9
g10
NtRp87170
(dp87171
g13
Nsg14
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VEuropean Environment Agency
p87172
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(g9
g10
NtRp87173
(dp87174
g13
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Nsg15
VFALSE
p87175
sbNNNNNNNg8
(g9
g10
NtRp87176
(dp87177
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87178
(dp87179
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87180
(dp87181
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ee_2013
p87182
sbNNtp87183
a(g8
(g9
g10
NtRp87184
(dp87185
g13
Nsg14
Nsg15
Va373b065-66d8-45ae-86af-6618cc6792cb
p87186
sbNg8
(g9
g10
NtRp87187
(dp87188
g13
Nsg14
Nsg15
VEEA reference grid for Europe (100km), May 2011
p87189
sbNNNNNg8
(g9
g10
NtRp87190
(dp87191
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.
p87192
sbNNg8
(g9
g10
NtRp87193
(dp87194
g13
Nsg14
Nsg15
VFALSE
p87195
sbNNNg8
(g9
g10
NtRp87196
(dp87197
g13
Nsg14
Nsg15
VFALSE
p87198
sbNNg8
(g9
g10
NtRp87199
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Nsg14
Nsg15
VFALSE
p87201
sbNNg8
(g9
g10
NtRp87202
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g13
Nsg14
Nsg15
VFALSE
p87204
sbNg8
(g9
g10
NtRp87205
(dp87206
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a373b065-66d8-45ae-86af-6618cc6792cb.png
p87207
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g13
Nsg14
Nsg15
VEPSG:3035
p87210
sbg8
(g9
g10
NtRp87211
(dp87212
g13
Nsg14
Nsg15
V2019-06-26
p87213
sbNg8
(g9
g10
NtRp87214
(dp87215
g13
Nsg14
Nsg15
VGeographical grid systems
p87216
sbg8
(g9
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NtRp87217
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g13
Nsg14
Nsg15
Vgridding
p87219
sbg8
(g9
g10
NtRp87220
(dp87221
g13
Nsg14
Nsg15
Vvector
p87222
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(g9
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NtRp87223
(dp87224
g13
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Nsg15
VSHP
p87225
sbNg8
(g9
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NtRp87226
(dp87227
g13
Nsg14
Nsg15
V100000m
p87228
sbNg8
(g9
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NtRp87229
(dp87230
g13
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Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p87231
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NtRp87232
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Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a373b065-66d8-45ae-86af-6618cc6792cb
p87234
sbg8
(g9
g10
NtRp87235
(dp87236
g13
Nsg14
g74
sg15
V2011
p87237
sbg8
(g9
g10
NtRp87238
(dp87239
g13
Nsg14
g74
sg15
V2011
p87240
sbg8
(g9
g10
NtRp87241
(dp87242
g13
Nsg14
Nsg15
VFALSE
p87243
sbg8
(g9
g10
NtRp87244
(dp87245
g13
Nsg14
Nsg15
VEurope
p87246
sbg8
(g9
g10
NtRp87247
(dp87248
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87249
sbg8
(g9
g10
NtRp87250
(dp87251
g13
Nsg14
Nsg15
VFALSE
p87252
sbg8
(g9
g10
NtRp87253
(dp87254
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87255
sbg8
(g9
g10
NtRp87256
(dp87257
g13
Nsg14
Nsg15
VFALSE
p87258
sbNNNNNNNg8
(g9
g10
NtRp87259
(dp87260
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87261
(dp87262
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87263
(dp87264
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-europe_2011
p87265
sbNNtp87266
a(g8
(g9
g10
NtRp87267
(dp87268
g13
Nsg14
Nsg15
V8f086da7-e077-4dab-952b-0d12b00e326ef
p87269
sbNg8
(g9
g10
NtRp87270
(dp87271
g13
Nsg14
Nsg15
VEEA reference grid for Serbia (100km), May 2013
p87272
sbNNNNNg8
(g9
g10
NtRp87273
(dp87274
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87275
sbNNg8
(g9
g10
NtRp87276
(dp87277
g13
Nsg14
Nsg15
VFALSE
p87278
sbNNNg8
(g9
g10
NtRp87279
(dp87280
g13
Nsg14
Nsg15
VFALSE
p87281
sbNNg8
(g9
g10
NtRp87282
(dp87283
g13
Nsg14
Nsg15
VFALSE
p87284
sbNNg8
(g9
g10
NtRp87285
(dp87286
g13
Nsg14
Nsg15
VFALSE
p87287
sbNg8
(g9
g10
NtRp87288
(dp87289
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f086da7-e077-4dab-952b-0d12b00e326ef.png
p87290
sbg8
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g10
NtRp87291
(dp87292
g13
Nsg14
Nsg15
VEPSG:3035
p87293
sbg8
(g9
g10
NtRp87294
(dp87295
g13
Nsg14
Nsg15
V2019-07-02
p87296
sbNg8
(g9
g10
NtRp87297
(dp87298
g13
Nsg14
Nsg15
VGeographical grid systems
p87299
sbg8
(g9
g10
NtRp87300
(dp87301
g13
Nsg14
Nsg15
Vgridding
p87302
sbg8
(g9
g10
NtRp87303
(dp87304
g13
Nsg14
Nsg15
Vvector
p87305
sbg8
(g9
g10
NtRp87306
(dp87307
g13
Nsg14
Nsg15
VSHP
p87308
sbNg8
(g9
g10
NtRp87309
(dp87310
g13
Nsg14
Nsg15
V100000m
p87311
sbNg8
(g9
g10
NtRp87312
(dp87313
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87314
sbg8
(g9
g10
NtRp87315
(dp87316
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326ef
p87317
sbg8
(g9
g10
NtRp87318
(dp87319
g13
Nsg14
g74
sg15
V2013
p87320
sbg8
(g9
g10
NtRp87321
(dp87322
g13
Nsg14
g74
sg15
V2013
p87323
sbg8
(g9
g10
NtRp87324
(dp87325
g13
Nsg14
Nsg15
VFALSE
p87326
sbg8
(g9
g10
NtRp87327
(dp87328
g13
Nsg14
Nsg15
VSerbia
p87329
sbg8
(g9
g10
NtRp87330
(dp87331
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87332
sbg8
(g9
g10
NtRp87333
(dp87334
g13
Nsg14
Nsg15
VFALSE
p87335
sbg8
(g9
g10
NtRp87336
(dp87337
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87338
sbg8
(g9
g10
NtRp87339
(dp87340
g13
Nsg14
Nsg15
VFALSE
p87341
sbNNNNNNNg8
(g9
g10
NtRp87342
(dp87343
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87344
(dp87345
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87346
(dp87347
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-rs_2013
p87348
sbNNtp87349
a(g8
(g9
g10
NtRp87350
(dp87351
g13
Nsg14
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Vaa9b407c-992f-4107-be3e-b7d14b57d6d9
p87352
sbNg8
(g9
g10
NtRp87353
(dp87354
g13
Nsg14
Nsg15
VGISCO - Administrative units 2016 at country level, May 2018
p87355
sbNNNNNg8
(g9
g10
NtRp87356
(dp87357
g13
Nsg14
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VThis data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted.\u000aThis metadata only refers to the full dataset (polygon) at 100k (CNTR_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2016.xml) is provided together with the dataset.\u000aThe public dataset is available for download on http://ec.europa.eu/eurostat/cache/GISCO/distribution/v2/countries/countries-2016-files.html
p87358
sbNNg8
(g9
g10
NtRp87359
(dp87360
g13
Nsg14
Nsg15
VFALSE
p87361
sbNNNg8
(g9
g10
NtRp87362
(dp87363
g13
Nsg14
Nsg15
VFALSE
p87364
sbNNg8
(g9
g10
NtRp87365
(dp87366
g13
Nsg14
Nsg15
VFALSE
p87367
sbNNg8
(g9
g10
NtRp87368
(dp87369
g13
Nsg14
Nsg15
VFALSE
p87370
sbNg8
(g9
g10
NtRp87371
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g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa9b407c-992f-4107-be3e-b7d14b57d6d9.png
p87373
sbg8
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g10
NtRp87374
(dp87375
g13
Nsg14
Nsg15
VEPSG:4258
p87376
sbg8
(g9
g10
NtRp87377
(dp87378
g13
Nsg14
Nsg15
V2019-06-04
p87379
sbNg8
(g9
g10
NtRp87380
(dp87381
g13
Nsg14
Nsg15
VAdministrative units
p87382
sbg8
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NtRp87383
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g13
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Vadministrative boundary
p87385
sbg8
(g9
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NtRp87386
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g13
Nsg14
Nsg15
Vvector
p87388
sbg8
(g9
g10
NtRp87389
(dp87390
g13
Nsg14
Nsg15
VSpatialite
p87391
sbNg8
(g9
g10
NtRp87392
(dp87393
g13
Nsg14
Nsg15
V1:100000
p87394
sbNg8
(g9
g10
NtRp87395
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g13
Nsg14
Nsg15
VThe dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2016 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the reThe dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.gion and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.
p87397
sbg8
(g9
g10
NtRp87398
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa9b407c-992f-4107-be3e-b7d14b57d6d9
p87400
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(g9
g10
NtRp87401
(dp87402
g13
Nsg14
g74
sg15
V2017
p87403
sbg8
(g9
g10
NtRp87404
(dp87405
g13
Nsg14
g74
sg15
V2017
p87406
sbg8
(g9
g10
NtRp87407
(dp87408
g13
Nsg14
Nsg15
VFALSE
p87409
sbg8
(g9
g10
NtRp87410
(dp87411
g13
Nsg14
Nsg15
VWorld
p87412
sbg8
(g9
g10
NtRp87413
(dp87414
g13
Nsg14
Nsg15
VGeneralised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as \u201c@EuroGeographics\u201d on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.
p87415
sbg8
(g9
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NtRp87416
(dp87417
g13
Nsg14
Nsg15
VFALSE
p87418
sbg8
(g9
g10
NtRp87419
(dp87420
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p87421
sbg8
(g9
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NtRp87422
(dp87423
g13
Nsg14
Nsg15
VFALSE
p87424
sbNNNNNNNg8
(g9
g10
NtRp87425
(dp87426
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87427
(dp87428
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87429
(dp87430
g13
Nsg14
Nsg15
Veurostat_v_4258_100_k_gisco-admin-boundaries_2016
p87431
sbNNtp87432
a(g8
(g9
g10
NtRp87433
(dp87434
g13
Nsg14
Nsg15
V28ca86ba-e5f0-4202-931d-9917b15b42b1f
p87435
sbNg8
(g9
g10
NtRp87436
(dp87437
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (100km), May 2013
p87438
sbNNNNNg8
(g9
g10
NtRp87439
(dp87440
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87441
sbNNg8
(g9
g10
NtRp87442
(dp87443
g13
Nsg14
Nsg15
VFALSE
p87444
sbNNNg8
(g9
g10
NtRp87445
(dp87446
g13
Nsg14
Nsg15
VFALSE
p87447
sbNNg8
(g9
g10
NtRp87448
(dp87449
g13
Nsg14
Nsg15
VFALSE
p87450
sbNNg8
(g9
g10
NtRp87451
(dp87452
g13
Nsg14
Nsg15
VFALSE
p87453
sbNg8
(g9
g10
NtRp87454
(dp87455
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ca86ba-e5f0-4202-931d-9917b15b42b1f.png
p87456
sbg8
(g9
g10
NtRp87457
(dp87458
g13
Nsg14
Nsg15
VEPSG:3035
p87459
sbg8
(g9
g10
NtRp87460
(dp87461
g13
Nsg14
Nsg15
V2019-06-21
p87462
sbNg8
(g9
g10
NtRp87463
(dp87464
g13
Nsg14
Nsg15
VGeographical grid systems
p87465
sbg8
(g9
g10
NtRp87466
(dp87467
g13
Nsg14
Nsg15
Vgridding
p87468
sbg8
(g9
g10
NtRp87469
(dp87470
g13
Nsg14
Nsg15
Vvector
p87471
sbg8
(g9
g10
NtRp87472
(dp87473
g13
Nsg14
Nsg15
VSHP
p87474
sbNg8
(g9
g10
NtRp87475
(dp87476
g13
Nsg14
Nsg15
V100000m
p87477
sbNg8
(g9
g10
NtRp87478
(dp87479
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87480
sbg8
(g9
g10
NtRp87481
(dp87482
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ca86ba-e5f0-4202-931d-9917b15b42b1f
p87483
sbg8
(g9
g10
NtRp87484
(dp87485
g13
Nsg14
g74
sg15
V2013
p87486
sbg8
(g9
g10
NtRp87487
(dp87488
g13
Nsg14
g74
sg15
V2013
p87489
sbg8
(g9
g10
NtRp87490
(dp87491
g13
Nsg14
Nsg15
VFALSE
p87492
sbg8
(g9
g10
NtRp87493
(dp87494
g13
Nsg14
Nsg15
VBosnia and Herzegovina
p87495
sbg8
(g9
g10
NtRp87496
(dp87497
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87498
sbg8
(g9
g10
NtRp87499
(dp87500
g13
Nsg14
Nsg15
VFALSE
p87501
sbg8
(g9
g10
NtRp87502
(dp87503
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87504
sbg8
(g9
g10
NtRp87505
(dp87506
g13
Nsg14
Nsg15
VFALSE
p87507
sbNNNNNNNg8
(g9
g10
NtRp87508
(dp87509
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87510
(dp87511
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87512
(dp87513
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ba_2013
p87514
sbNNtp87515
a(g8
(g9
g10
NtRp87516
(dp87517
g13
Nsg14
Nsg15
V6e6af1af-3fd4-4cca-949f-f6839ef99871f
p87518
sbNg8
(g9
g10
NtRp87519
(dp87520
g13
Nsg14
Nsg15
VEEA reference grid for Cyprus (100km), May 2013
p87521
sbNNNNNg8
(g9
g10
NtRp87522
(dp87523
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87524
sbNNg8
(g9
g10
NtRp87525
(dp87526
g13
Nsg14
Nsg15
VFALSE
p87527
sbNNNg8
(g9
g10
NtRp87528
(dp87529
g13
Nsg14
Nsg15
VFALSE
p87530
sbNNg8
(g9
g10
NtRp87531
(dp87532
g13
Nsg14
Nsg15
VFALSE
p87533
sbNNg8
(g9
g10
NtRp87534
(dp87535
g13
Nsg14
Nsg15
VFALSE
p87536
sbNg8
(g9
g10
NtRp87537
(dp87538
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6af1af-3fd4-4cca-949f-f6839ef99871f.png
p87539
sbg8
(g9
g10
NtRp87540
(dp87541
g13
Nsg14
Nsg15
VEPSG:3035
p87542
sbg8
(g9
g10
NtRp87543
(dp87544
g13
Nsg14
Nsg15
V2019-06-21
p87545
sbNg8
(g9
g10
NtRp87546
(dp87547
g13
Nsg14
Nsg15
VGeographical grid systems
p87548
sbg8
(g9
g10
NtRp87549
(dp87550
g13
Nsg14
Nsg15
Vgridding
p87551
sbg8
(g9
g10
NtRp87552
(dp87553
g13
Nsg14
Nsg15
Vvector
p87554
sbg8
(g9
g10
NtRp87555
(dp87556
g13
Nsg14
Nsg15
VSHP
p87557
sbNg8
(g9
g10
NtRp87558
(dp87559
g13
Nsg14
Nsg15
V100000m
p87560
sbNg8
(g9
g10
NtRp87561
(dp87562
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87563
sbg8
(g9
g10
NtRp87564
(dp87565
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6af1af-3fd4-4cca-949f-f6839ef99871f
p87566
sbg8
(g9
g10
NtRp87567
(dp87568
g13
Nsg14
g74
sg15
V2013
p87569
sbg8
(g9
g10
NtRp87570
(dp87571
g13
Nsg14
g74
sg15
V2013
p87572
sbg8
(g9
g10
NtRp87573
(dp87574
g13
Nsg14
Nsg15
VFALSE
p87575
sbg8
(g9
g10
NtRp87576
(dp87577
g13
Nsg14
Nsg15
VCyprus
p87578
sbg8
(g9
g10
NtRp87579
(dp87580
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87581
sbg8
(g9
g10
NtRp87582
(dp87583
g13
Nsg14
Nsg15
VFALSE
p87584
sbg8
(g9
g10
NtRp87585
(dp87586
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87587
sbg8
(g9
g10
NtRp87588
(dp87589
g13
Nsg14
Nsg15
VFALSE
p87590
sbNNNNNNNg8
(g9
g10
NtRp87591
(dp87592
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87593
(dp87594
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87595
(dp87596
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-cy_2013
p87597
sbNNtp87598
a(g8
(g9
g10
NtRp87599
(dp87600
g13
Nsg14
Nsg15
V5497b114-8b64-481d-9d7b-852fbc6912d1f
p87601
sbNg8
(g9
g10
NtRp87602
(dp87603
g13
Nsg14
Nsg15
VEEA reference grid for Germany (1km), May 2013
p87604
sbNNNNNg8
(g9
g10
NtRp87605
(dp87606
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87607
sbNNg8
(g9
g10
NtRp87608
(dp87609
g13
Nsg14
Nsg15
VFALSE
p87610
sbNNNg8
(g9
g10
NtRp87611
(dp87612
g13
Nsg14
Nsg15
VFALSE
p87613
sbNNg8
(g9
g10
NtRp87614
(dp87615
g13
Nsg14
Nsg15
VFALSE
p87616
sbNNg8
(g9
g10
NtRp87617
(dp87618
g13
Nsg14
Nsg15
VFALSE
p87619
sbNg8
(g9
g10
NtRp87620
(dp87621
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5497b114-8b64-481d-9d7b-852fbc6912d1f.png
p87622
sbg8
(g9
g10
NtRp87623
(dp87624
g13
Nsg14
Nsg15
VEPSG:3035
p87625
sbg8
(g9
g10
NtRp87626
(dp87627
g13
Nsg14
Nsg15
V2019-06-27
p87628
sbNg8
(g9
g10
NtRp87629
(dp87630
g13
Nsg14
Nsg15
VGeographical grid systems
p87631
sbg8
(g9
g10
NtRp87632
(dp87633
g13
Nsg14
Nsg15
Vgridding
p87634
sbg8
(g9
g10
NtRp87635
(dp87636
g13
Nsg14
Nsg15
Vvector
p87637
sbg8
(g9
g10
NtRp87638
(dp87639
g13
Nsg14
Nsg15
VSHP
p87640
sbNg8
(g9
g10
NtRp87641
(dp87642
g13
Nsg14
Nsg15
V1000m
p87643
sbNg8
(g9
g10
NtRp87644
(dp87645
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87646
sbg8
(g9
g10
NtRp87647
(dp87648
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5497b114-8b64-481d-9d7b-852fbc6912d1f
p87649
sbg8
(g9
g10
NtRp87650
(dp87651
g13
Nsg14
g74
sg15
V2013
p87652
sbg8
(g9
g10
NtRp87653
(dp87654
g13
Nsg14
g74
sg15
V2013
p87655
sbg8
(g9
g10
NtRp87656
(dp87657
g13
Nsg14
Nsg15
VFALSE
p87658
sbg8
(g9
g10
NtRp87659
(dp87660
g13
Nsg14
Nsg15
VGermany
p87661
sbg8
(g9
g10
NtRp87662
(dp87663
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87664
sbg8
(g9
g10
NtRp87665
(dp87666
g13
Nsg14
Nsg15
VFALSE
p87667
sbg8
(g9
g10
NtRp87668
(dp87669
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87670
sbg8
(g9
g10
NtRp87671
(dp87672
g13
Nsg14
Nsg15
VFALSE
p87673
sbNNNNNNNg8
(g9
g10
NtRp87674
(dp87675
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87676
(dp87677
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87678
(dp87679
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-de_2013
p87680
sbNNtp87681
a(g8
(g9
g10
NtRp87682
(dp87683
g13
Nsg14
Nsg15
V76f6414b-ffd4-416d-bd34-b8f09068733ff
p87684
sbNg8
(g9
g10
NtRp87685
(dp87686
g13
Nsg14
Nsg15
VEEA reference grid for Estonia (1km), May 2013
p87687
sbNNNNNg8
(g9
g10
NtRp87688
(dp87689
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87690
sbNNg8
(g9
g10
NtRp87691
(dp87692
g13
Nsg14
Nsg15
VFALSE
p87693
sbNNNg8
(g9
g10
NtRp87694
(dp87695
g13
Nsg14
Nsg15
VFALSE
p87696
sbNNg8
(g9
g10
NtRp87697
(dp87698
g13
Nsg14
Nsg15
VFALSE
p87699
sbNNg8
(g9
g10
NtRp87700
(dp87701
g13
Nsg14
Nsg15
VFALSE
p87702
sbNg8
(g9
g10
NtRp87703
(dp87704
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/76f6414b-ffd4-416d-bd34-b8f09068733ff.png
p87705
sbg8
(g9
g10
NtRp87706
(dp87707
g13
Nsg14
Nsg15
VEPSG:3035
p87708
sbg8
(g9
g10
NtRp87709
(dp87710
g13
Nsg14
Nsg15
V2019-06-26
p87711
sbNg8
(g9
g10
NtRp87712
(dp87713
g13
Nsg14
Nsg15
VGeographical grid systems
p87714
sbg8
(g9
g10
NtRp87715
(dp87716
g13
Nsg14
Nsg15
Vgridding
p87717
sbg8
(g9
g10
NtRp87718
(dp87719
g13
Nsg14
Nsg15
Vvector
p87720
sbg8
(g9
g10
NtRp87721
(dp87722
g13
Nsg14
Nsg15
VSHP
p87723
sbNg8
(g9
g10
NtRp87724
(dp87725
g13
Nsg14
Nsg15
V1000m
p87726
sbNg8
(g9
g10
NtRp87727
(dp87728
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87729
sbg8
(g9
g10
NtRp87730
(dp87731
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76f6414b-ffd4-416d-bd34-b8f09068733ff
p87732
sbg8
(g9
g10
NtRp87733
(dp87734
g13
Nsg14
g74
sg15
V2013
p87735
sbg8
(g9
g10
NtRp87736
(dp87737
g13
Nsg14
g74
sg15
V2013
p87738
sbg8
(g9
g10
NtRp87739
(dp87740
g13
Nsg14
Nsg15
VFALSE
p87741
sbg8
(g9
g10
NtRp87742
(dp87743
g13
Nsg14
Nsg15
VEstonia
p87744
sbg8
(g9
g10
NtRp87745
(dp87746
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87747
sbg8
(g9
g10
NtRp87748
(dp87749
g13
Nsg14
Nsg15
VFALSE
p87750
sbg8
(g9
g10
NtRp87751
(dp87752
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87753
sbg8
(g9
g10
NtRp87754
(dp87755
g13
Nsg14
Nsg15
VFALSE
p87756
sbNNNNNNNg8
(g9
g10
NtRp87757
(dp87758
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87759
(dp87760
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87761
(dp87762
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ee_2013
p87763
sbNNtp87764
a(g8
(g9
g10
NtRp87765
(dp87766
g13
Nsg14
Nsg15
V7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f
p87767
sbNg8
(g9
g10
NtRp87768
(dp87769
g13
Nsg14
Nsg15
VEEA reference grid for Malta (10km), May 2013
p87770
sbNNNNNg8
(g9
g10
NtRp87771
(dp87772
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87773
sbNNg8
(g9
g10
NtRp87774
(dp87775
g13
Nsg14
Nsg15
VFALSE
p87776
sbNNNg8
(g9
g10
NtRp87777
(dp87778
g13
Nsg14
Nsg15
VFALSE
p87779
sbNNg8
(g9
g10
NtRp87780
(dp87781
g13
Nsg14
Nsg15
VFALSE
p87782
sbNNg8
(g9
g10
NtRp87783
(dp87784
g13
Nsg14
Nsg15
VFALSE
p87785
sbNg8
(g9
g10
NtRp87786
(dp87787
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f.png
p87788
sbg8
(g9
g10
NtRp87789
(dp87790
g13
Nsg14
Nsg15
VEPSG:3035
p87791
sbg8
(g9
g10
NtRp87792
(dp87793
g13
Nsg14
Nsg15
V2019-07-01
p87794
sbNg8
(g9
g10
NtRp87795
(dp87796
g13
Nsg14
Nsg15
VGeographical grid systems
p87797
sbg8
(g9
g10
NtRp87798
(dp87799
g13
Nsg14
Nsg15
Vgridding
p87800
sbg8
(g9
g10
NtRp87801
(dp87802
g13
Nsg14
Nsg15
Vvector
p87803
sbg8
(g9
g10
NtRp87804
(dp87805
g13
Nsg14
Nsg15
VSHP
p87806
sbNg8
(g9
g10
NtRp87807
(dp87808
g13
Nsg14
Nsg15
V10000m
p87809
sbNg8
(g9
g10
NtRp87810
(dp87811
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87812
sbg8
(g9
g10
NtRp87813
(dp87814
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f
p87815
sbg8
(g9
g10
NtRp87816
(dp87817
g13
Nsg14
g74
sg15
V2013
p87818
sbg8
(g9
g10
NtRp87819
(dp87820
g13
Nsg14
g74
sg15
V2013
p87821
sbg8
(g9
g10
NtRp87822
(dp87823
g13
Nsg14
Nsg15
VFALSE
p87824
sbg8
(g9
g10
NtRp87825
(dp87826
g13
Nsg14
Nsg15
VMalta
p87827
sbg8
(g9
g10
NtRp87828
(dp87829
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87830
sbg8
(g9
g10
NtRp87831
(dp87832
g13
Nsg14
Nsg15
VFALSE
p87833
sbg8
(g9
g10
NtRp87834
(dp87835
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87836
sbg8
(g9
g10
NtRp87837
(dp87838
g13
Nsg14
Nsg15
VFALSE
p87839
sbNNNNNNNg8
(g9
g10
NtRp87840
(dp87841
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87842
(dp87843
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87844
(dp87845
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-mt_2013
p87846
sbNNtp87847
a(g8
(g9
g10
NtRp87848
(dp87849
g13
Nsg14
Nsg15
V27aee1b0-8505-498c-9ef3-b10977f005c2f
p87850
sbNg8
(g9
g10
NtRp87851
(dp87852
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (10km), May 2013
p87853
sbNNNNNg8
(g9
g10
NtRp87854
(dp87855
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87856
sbNNg8
(g9
g10
NtRp87857
(dp87858
g13
Nsg14
Nsg15
VFALSE
p87859
sbNNNg8
(g9
g10
NtRp87860
(dp87861
g13
Nsg14
Nsg15
VFALSE
p87862
sbNNg8
(g9
g10
NtRp87863
(dp87864
g13
Nsg14
Nsg15
VFALSE
p87865
sbNNg8
(g9
g10
NtRp87866
(dp87867
g13
Nsg14
Nsg15
VFALSE
p87868
sbNg8
(g9
g10
NtRp87869
(dp87870
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/27aee1b0-8505-498c-9ef3-b10977f005c2f.png
p87871
sbg8
(g9
g10
NtRp87872
(dp87873
g13
Nsg14
Nsg15
VEPSG:3035
p87874
sbg8
(g9
g10
NtRp87875
(dp87876
g13
Nsg14
Nsg15
V2019-07-02
p87877
sbNg8
(g9
g10
NtRp87878
(dp87879
g13
Nsg14
Nsg15
VGeographical grid systems
p87880
sbg8
(g9
g10
NtRp87881
(dp87882
g13
Nsg14
Nsg15
Vgridding
p87883
sbg8
(g9
g10
NtRp87884
(dp87885
g13
Nsg14
Nsg15
Vvector
p87886
sbg8
(g9
g10
NtRp87887
(dp87888
g13
Nsg14
Nsg15
VSHP
p87889
sbNg8
(g9
g10
NtRp87890
(dp87891
g13
Nsg14
Nsg15
V10000m
p87892
sbNg8
(g9
g10
NtRp87893
(dp87894
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87895
sbg8
(g9
g10
NtRp87896
(dp87897
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27aee1b0-8505-498c-9ef3-b10977f005c2f
p87898
sbg8
(g9
g10
NtRp87899
(dp87900
g13
Nsg14
g74
sg15
V2013
p87901
sbg8
(g9
g10
NtRp87902
(dp87903
g13
Nsg14
g74
sg15
V2013
p87904
sbg8
(g9
g10
NtRp87905
(dp87906
g13
Nsg14
Nsg15
VFALSE
p87907
sbg8
(g9
g10
NtRp87908
(dp87909
g13
Nsg14
Nsg15
VTurkey
p87910
sbg8
(g9
g10
NtRp87911
(dp87912
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87913
sbg8
(g9
g10
NtRp87914
(dp87915
g13
Nsg14
Nsg15
VFALSE
p87916
sbg8
(g9
g10
NtRp87917
(dp87918
g13
Nsg14
Nsg15
VEuropean Environment Agency
p87919
sbg8
(g9
g10
NtRp87920
(dp87921
g13
Nsg14
Nsg15
VFALSE
p87922
sbNNNNNNNg8
(g9
g10
NtRp87923
(dp87924
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp87925
(dp87926
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp87927
(dp87928
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-tr_2013
p87929
sbNNtp87930
a(g8
(g9
g10
NtRp87931
(dp87932
g13
Nsg14
Nsg15
Ve9f7f959-6f63-4c96-a47c-e4f1541eba51f
p87933
sbNg8
(g9
g10
NtRp87934
(dp87935
g13
Nsg14
Nsg15
VEEA reference grid for Hungary (1km), May 2013
p87936
sbNNNNNg8
(g9
g10
NtRp87937
(dp87938
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p87939
sbNNg8
(g9
g10
NtRp87940
(dp87941
g13
Nsg14
Nsg15
VFALSE
p87942
sbNNNg8
(g9
g10
NtRp87943
(dp87944
g13
Nsg14
Nsg15
VFALSE
p87945
sbNNg8
(g9
g10
NtRp87946
(dp87947
g13
Nsg14
Nsg15
VFALSE
p87948
sbNNg8
(g9
g10
NtRp87949
(dp87950
g13
Nsg14
Nsg15
VFALSE
p87951
sbNg8
(g9
g10
NtRp87952
(dp87953
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9f7f959-6f63-4c96-a47c-e4f1541eba51f.png
p87954
sbg8
(g9
g10
NtRp87955
(dp87956
g13
Nsg14
Nsg15
VEPSG:3035
p87957
sbg8
(g9
g10
NtRp87958
(dp87959
g13
Nsg14
Nsg15
V2019-07-01
p87960
sbNg8
(g9
g10
NtRp87961
(dp87962
g13
Nsg14
Nsg15
VGeographical grid systems
p87963
sbg8
(g9
g10
NtRp87964
(dp87965
g13
Nsg14
Nsg15
Vgridding
p87966
sbg8
(g9
g10
NtRp87967
(dp87968
g13
Nsg14
Nsg15
Vvector
p87969
sbg8
(g9
g10
NtRp87970
(dp87971
g13
Nsg14
Nsg15
VSHP
p87972
sbNg8
(g9
g10
NtRp87973
(dp87974
g13
Nsg14
Nsg15
V1000m
p87975
sbNg8
(g9
g10
NtRp87976
(dp87977
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p87978
sbg8
(g9
g10
NtRp87979
(dp87980
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9f7f959-6f63-4c96-a47c-e4f1541eba51f
p87981
sbg8
(g9
g10
NtRp87982
(dp87983
g13
Nsg14
g74
sg15
V2013
p87984
sbg8
(g9
g10
NtRp87985
(dp87986
g13
Nsg14
g74
sg15
V2013
p87987
sbg8
(g9
g10
NtRp87988
(dp87989
g13
Nsg14
Nsg15
VFALSE
p87990
sbg8
(g9
g10
NtRp87991
(dp87992
g13
Nsg14
Nsg15
VHungary
p87993
sbg8
(g9
g10
NtRp87994
(dp87995
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p87996
sbg8
(g9
g10
NtRp87997
(dp87998
g13
Nsg14
Nsg15
VFALSE
p87999
sbg8
(g9
g10
NtRp88000
(dp88001
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88002
sbg8
(g9
g10
NtRp88003
(dp88004
g13
Nsg14
Nsg15
VFALSE
p88005
sbNNNNNNNg8
(g9
g10
NtRp88006
(dp88007
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88008
(dp88009
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88010
(dp88011
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-hu_2013
p88012
sbNNtp88013
a(g8
(g9
g10
NtRp88014
(dp88015
g13
Nsg14
Nsg15
Vd44003b4-4807-49d7-91bc-284aea893ee9f
p88016
sbNg8
(g9
g10
NtRp88017
(dp88018
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (10km), May 2013
p88019
sbNNNNNg8
(g9
g10
NtRp88020
(dp88021
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88022
sbNNg8
(g9
g10
NtRp88023
(dp88024
g13
Nsg14
Nsg15
VFALSE
p88025
sbNNNg8
(g9
g10
NtRp88026
(dp88027
g13
Nsg14
Nsg15
VFALSE
p88028
sbNNg8
(g9
g10
NtRp88029
(dp88030
g13
Nsg14
Nsg15
VFALSE
p88031
sbNNg8
(g9
g10
NtRp88032
(dp88033
g13
Nsg14
Nsg15
VFALSE
p88034
sbNg8
(g9
g10
NtRp88035
(dp88036
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d44003b4-4807-49d7-91bc-284aea893ee9f.png
p88037
sbg8
(g9
g10
NtRp88038
(dp88039
g13
Nsg14
Nsg15
VEPSG:3035
p88040
sbg8
(g9
g10
NtRp88041
(dp88042
g13
Nsg14
Nsg15
V2019-07-02
p88043
sbNg8
(g9
g10
NtRp88044
(dp88045
g13
Nsg14
Nsg15
VGeographical grid systems
p88046
sbg8
(g9
g10
NtRp88047
(dp88048
g13
Nsg14
Nsg15
Vgridding
p88049
sbg8
(g9
g10
NtRp88050
(dp88051
g13
Nsg14
Nsg15
Vvector
p88052
sbg8
(g9
g10
NtRp88053
(dp88054
g13
Nsg14
Nsg15
VSHP
p88055
sbNg8
(g9
g10
NtRp88056
(dp88057
g13
Nsg14
Nsg15
V10000m
p88058
sbNg8
(g9
g10
NtRp88059
(dp88060
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88061
sbg8
(g9
g10
NtRp88062
(dp88063
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44003b4-4807-49d7-91bc-284aea893ee9f
p88064
sbg8
(g9
g10
NtRp88065
(dp88066
g13
Nsg14
g74
sg15
V2013
p88067
sbg8
(g9
g10
NtRp88068
(dp88069
g13
Nsg14
g74
sg15
V2013
p88070
sbg8
(g9
g10
NtRp88071
(dp88072
g13
Nsg14
Nsg15
VFALSE
p88073
sbg8
(g9
g10
NtRp88074
(dp88075
g13
Nsg14
Nsg15
VNorth Macedonia
p88076
sbg8
(g9
g10
NtRp88077
(dp88078
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88079
sbg8
(g9
g10
NtRp88080
(dp88081
g13
Nsg14
Nsg15
VFALSE
p88082
sbg8
(g9
g10
NtRp88083
(dp88084
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88085
sbg8
(g9
g10
NtRp88086
(dp88087
g13
Nsg14
Nsg15
VFALSE
p88088
sbNNNNNNNg8
(g9
g10
NtRp88089
(dp88090
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88091
(dp88092
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88093
(dp88094
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-mk_2013
p88095
sbNNtp88096
a(g8
(g9
g10
NtRp88097
(dp88098
g13
Nsg14
Nsg15
V23b457d3-2c09-47b5-bbee-ba976b2c8c63f
p88099
sbNg8
(g9
g10
NtRp88100
(dp88101
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (10km), May 2013
p88102
sbNNNNNg8
(g9
g10
NtRp88103
(dp88104
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88105
sbNNg8
(g9
g10
NtRp88106
(dp88107
g13
Nsg14
Nsg15
VFALSE
p88108
sbNNNg8
(g9
g10
NtRp88109
(dp88110
g13
Nsg14
Nsg15
VFALSE
p88111
sbNNg8
(g9
g10
NtRp88112
(dp88113
g13
Nsg14
Nsg15
VFALSE
p88114
sbNNg8
(g9
g10
NtRp88115
(dp88116
g13
Nsg14
Nsg15
VFALSE
p88117
sbNg8
(g9
g10
NtRp88118
(dp88119
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b457d3-2c09-47b5-bbee-ba976b2c8c63f.png
p88120
sbg8
(g9
g10
NtRp88121
(dp88122
g13
Nsg14
Nsg15
VEPSG:3035
p88123
sbg8
(g9
g10
NtRp88124
(dp88125
g13
Nsg14
Nsg15
V2019-06-21
p88126
sbNg8
(g9
g10
NtRp88127
(dp88128
g13
Nsg14
Nsg15
VGeographical grid systems
p88129
sbg8
(g9
g10
NtRp88130
(dp88131
g13
Nsg14
Nsg15
Vgridding
p88132
sbg8
(g9
g10
NtRp88133
(dp88134
g13
Nsg14
Nsg15
Vvector
p88135
sbg8
(g9
g10
NtRp88136
(dp88137
g13
Nsg14
Nsg15
VSHP
p88138
sbNg8
(g9
g10
NtRp88139
(dp88140
g13
Nsg14
Nsg15
V10000m
p88141
sbNg8
(g9
g10
NtRp88142
(dp88143
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88144
sbg8
(g9
g10
NtRp88145
(dp88146
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b457d3-2c09-47b5-bbee-ba976b2c8c63f
p88147
sbg8
(g9
g10
NtRp88148
(dp88149
g13
Nsg14
g74
sg15
V2013
p88150
sbg8
(g9
g10
NtRp88151
(dp88152
g13
Nsg14
g74
sg15
V2013
p88153
sbg8
(g9
g10
NtRp88154
(dp88155
g13
Nsg14
Nsg15
VFALSE
p88156
sbg8
(g9
g10
NtRp88157
(dp88158
g13
Nsg14
Nsg15
VBulgaria
p88159
sbg8
(g9
g10
NtRp88160
(dp88161
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88162
sbg8
(g9
g10
NtRp88163
(dp88164
g13
Nsg14
Nsg15
VFALSE
p88165
sbg8
(g9
g10
NtRp88166
(dp88167
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88168
sbg8
(g9
g10
NtRp88169
(dp88170
g13
Nsg14
Nsg15
VFALSE
p88171
sbNNNNNNNg8
(g9
g10
NtRp88172
(dp88173
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88174
(dp88175
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88176
(dp88177
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-bg_2013
p88178
sbNNtp88179
a(g8
(g9
g10
NtRp88180
(dp88181
g13
Nsg14
Nsg15
V4666285b-8d51-4e5c-8a63-c2e2438cb375f
p88182
sbNg8
(g9
g10
NtRp88183
(dp88184
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (10km), May 2013
p88185
sbNNNNNg8
(g9
g10
NtRp88186
(dp88187
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88188
sbNNg8
(g9
g10
NtRp88189
(dp88190
g13
Nsg14
Nsg15
VFALSE
p88191
sbNNNg8
(g9
g10
NtRp88192
(dp88193
g13
Nsg14
Nsg15
VFALSE
p88194
sbNNg8
(g9
g10
NtRp88195
(dp88196
g13
Nsg14
Nsg15
VFALSE
p88197
sbNNg8
(g9
g10
NtRp88198
(dp88199
g13
Nsg14
Nsg15
VFALSE
p88200
sbNg8
(g9
g10
NtRp88201
(dp88202
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4666285b-8d51-4e5c-8a63-c2e2438cb375f.png
p88203
sbg8
(g9
g10
NtRp88204
(dp88205
g13
Nsg14
Nsg15
VEPSG:3035
p88206
sbg8
(g9
g10
NtRp88207
(dp88208
g13
Nsg14
Nsg15
V2019-07-02
p88209
sbNg8
(g9
g10
NtRp88210
(dp88211
g13
Nsg14
Nsg15
VGeographical grid systems
p88212
sbg8
(g9
g10
NtRp88213
(dp88214
g13
Nsg14
Nsg15
Vgridding
p88215
sbg8
(g9
g10
NtRp88216
(dp88217
g13
Nsg14
Nsg15
Vvector
p88218
sbg8
(g9
g10
NtRp88219
(dp88220
g13
Nsg14
Nsg15
VSHP
p88221
sbNg8
(g9
g10
NtRp88222
(dp88223
g13
Nsg14
Nsg15
V10000m
p88224
sbNg8
(g9
g10
NtRp88225
(dp88226
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88227
sbg8
(g9
g10
NtRp88228
(dp88229
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4666285b-8d51-4e5c-8a63-c2e2438cb375f
p88230
sbg8
(g9
g10
NtRp88231
(dp88232
g13
Nsg14
g74
sg15
V2013
p88233
sbg8
(g9
g10
NtRp88234
(dp88235
g13
Nsg14
g74
sg15
V2013
p88236
sbg8
(g9
g10
NtRp88237
(dp88238
g13
Nsg14
Nsg15
VFALSE
p88239
sbg8
(g9
g10
NtRp88240
(dp88241
g13
Nsg14
Nsg15
VPortugal
p88242
sbg8
(g9
g10
NtRp88243
(dp88244
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88245
sbg8
(g9
g10
NtRp88246
(dp88247
g13
Nsg14
Nsg15
VFALSE
p88248
sbg8
(g9
g10
NtRp88249
(dp88250
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88251
sbg8
(g9
g10
NtRp88252
(dp88253
g13
Nsg14
Nsg15
VFALSE
p88254
sbNNNNNNNg8
(g9
g10
NtRp88255
(dp88256
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88257
(dp88258
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88259
(dp88260
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt_2013
p88261
sbNNtp88262
a(g8
(g9
g10
NtRp88263
(dp88264
g13
Nsg14
Nsg15
V33645b04-2afa-48fa-9399-85df8953d437f
p88265
sbNg8
(g9
g10
NtRp88266
(dp88267
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (100km), May 2013
p88268
sbNNNNNg8
(g9
g10
NtRp88269
(dp88270
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88271
sbNNg8
(g9
g10
NtRp88272
(dp88273
g13
Nsg14
Nsg15
VFALSE
p88274
sbNNNg8
(g9
g10
NtRp88275
(dp88276
g13
Nsg14
Nsg15
VFALSE
p88277
sbNNg8
(g9
g10
NtRp88278
(dp88279
g13
Nsg14
Nsg15
VFALSE
p88280
sbNNg8
(g9
g10
NtRp88281
(dp88282
g13
Nsg14
Nsg15
VFALSE
p88283
sbNg8
(g9
g10
NtRp88284
(dp88285
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/33645b04-2afa-48fa-9399-85df8953d437f.png
p88286
sbg8
(g9
g10
NtRp88287
(dp88288
g13
Nsg14
Nsg15
VEPSG:3035
p88289
sbg8
(g9
g10
NtRp88290
(dp88291
g13
Nsg14
Nsg15
V2019-07-02
p88292
sbNg8
(g9
g10
NtRp88293
(dp88294
g13
Nsg14
Nsg15
VGeographical grid systems
p88295
sbg8
(g9
g10
NtRp88296
(dp88297
g13
Nsg14
Nsg15
Vgridding
p88298
sbg8
(g9
g10
NtRp88299
(dp88300
g13
Nsg14
Nsg15
Vvector
p88301
sbg8
(g9
g10
NtRp88302
(dp88303
g13
Nsg14
Nsg15
VSHP
p88304
sbNg8
(g9
g10
NtRp88305
(dp88306
g13
Nsg14
Nsg15
V100000m
p88307
sbNg8
(g9
g10
NtRp88308
(dp88309
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88310
sbg8
(g9
g10
NtRp88311
(dp88312
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33645b04-2afa-48fa-9399-85df8953d437f
p88313
sbg8
(g9
g10
NtRp88314
(dp88315
g13
Nsg14
g74
sg15
V2013
p88316
sbg8
(g9
g10
NtRp88317
(dp88318
g13
Nsg14
g74
sg15
V2013
p88319
sbg8
(g9
g10
NtRp88320
(dp88321
g13
Nsg14
Nsg15
VFALSE
p88322
sbg8
(g9
g10
NtRp88323
(dp88324
g13
Nsg14
Nsg15
VSlovakia
p88325
sbg8
(g9
g10
NtRp88326
(dp88327
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88328
sbg8
(g9
g10
NtRp88329
(dp88330
g13
Nsg14
Nsg15
VFALSE
p88331
sbg8
(g9
g10
NtRp88332
(dp88333
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88334
sbg8
(g9
g10
NtRp88335
(dp88336
g13
Nsg14
Nsg15
VFALSE
p88337
sbNNNNNNNg8
(g9
g10
NtRp88338
(dp88339
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88340
(dp88341
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88342
(dp88343
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-sk_2013
p88344
sbNNtp88345
a(g8
(g9
g10
NtRp88346
(dp88347
g13
Nsg14
Nsg15
V3f46582f-f938-4ff6-b8a0-0f1db2209729f
p88348
sbNg8
(g9
g10
NtRp88349
(dp88350
g13
Nsg14
Nsg15
VEEA reference grid for Romania (100km), May 2013
p88351
sbNNNNNg8
(g9
g10
NtRp88352
(dp88353
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88354
sbNNg8
(g9
g10
NtRp88355
(dp88356
g13
Nsg14
Nsg15
VFALSE
p88357
sbNNNg8
(g9
g10
NtRp88358
(dp88359
g13
Nsg14
Nsg15
VFALSE
p88360
sbNNg8
(g9
g10
NtRp88361
(dp88362
g13
Nsg14
Nsg15
VFALSE
p88363
sbNNg8
(g9
g10
NtRp88364
(dp88365
g13
Nsg14
Nsg15
VFALSE
p88366
sbNg8
(g9
g10
NtRp88367
(dp88368
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f46582f-f938-4ff6-b8a0-0f1db2209729f.png
p88369
sbg8
(g9
g10
NtRp88370
(dp88371
g13
Nsg14
Nsg15
VEPSG:3035
p88372
sbg8
(g9
g10
NtRp88373
(dp88374
g13
Nsg14
Nsg15
V2019-07-02
p88375
sbNg8
(g9
g10
NtRp88376
(dp88377
g13
Nsg14
Nsg15
VGeographical grid systems
p88378
sbg8
(g9
g10
NtRp88379
(dp88380
g13
Nsg14
Nsg15
Vgridding
p88381
sbg8
(g9
g10
NtRp88382
(dp88383
g13
Nsg14
Nsg15
Vvector
p88384
sbg8
(g9
g10
NtRp88385
(dp88386
g13
Nsg14
Nsg15
VSHP
p88387
sbNg8
(g9
g10
NtRp88388
(dp88389
g13
Nsg14
Nsg15
V100000m
p88390
sbNg8
(g9
g10
NtRp88391
(dp88392
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88393
sbg8
(g9
g10
NtRp88394
(dp88395
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f46582f-f938-4ff6-b8a0-0f1db2209729f
p88396
sbg8
(g9
g10
NtRp88397
(dp88398
g13
Nsg14
g74
sg15
V2013
p88399
sbg8
(g9
g10
NtRp88400
(dp88401
g13
Nsg14
g74
sg15
V2013
p88402
sbg8
(g9
g10
NtRp88403
(dp88404
g13
Nsg14
Nsg15
VFALSE
p88405
sbg8
(g9
g10
NtRp88406
(dp88407
g13
Nsg14
Nsg15
VRomania
p88408
sbg8
(g9
g10
NtRp88409
(dp88410
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88411
sbg8
(g9
g10
NtRp88412
(dp88413
g13
Nsg14
Nsg15
VFALSE
p88414
sbg8
(g9
g10
NtRp88415
(dp88416
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88417
sbg8
(g9
g10
NtRp88418
(dp88419
g13
Nsg14
Nsg15
VFALSE
p88420
sbNNNNNNNg8
(g9
g10
NtRp88421
(dp88422
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88423
(dp88424
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88425
(dp88426
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ro_2013
p88427
sbNNtp88428
a(g8
(g9
g10
NtRp88429
(dp88430
g13
Nsg14
Nsg15
V660ce4c2-6e23-4aca-b906-0996bdcf24acf
p88431
sbNg8
(g9
g10
NtRp88432
(dp88433
g13
Nsg14
Nsg15
VEEA reference grid for France (100km), May 2013
p88434
sbNNNNNg8
(g9
g10
NtRp88435
(dp88436
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88437
sbNNg8
(g9
g10
NtRp88438
(dp88439
g13
Nsg14
Nsg15
VFALSE
p88440
sbNNNg8
(g9
g10
NtRp88441
(dp88442
g13
Nsg14
Nsg15
VFALSE
p88443
sbNNg8
(g9
g10
NtRp88444
(dp88445
g13
Nsg14
Nsg15
VFALSE
p88446
sbNNg8
(g9
g10
NtRp88447
(dp88448
g13
Nsg14
Nsg15
VFALSE
p88449
sbNg8
(g9
g10
NtRp88450
(dp88451
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/660ce4c2-6e23-4aca-b906-0996bdcf24acf.png
p88452
sbg8
(g9
g10
NtRp88453
(dp88454
g13
Nsg14
Nsg15
VEPSG:3035
p88455
sbg8
(g9
g10
NtRp88456
(dp88457
g13
Nsg14
Nsg15
V2019-06-27
p88458
sbNg8
(g9
g10
NtRp88459
(dp88460
g13
Nsg14
Nsg15
VGeographical grid systems
p88461
sbg8
(g9
g10
NtRp88462
(dp88463
g13
Nsg14
Nsg15
Vgridding
p88464
sbg8
(g9
g10
NtRp88465
(dp88466
g13
Nsg14
Nsg15
Vvector
p88467
sbg8
(g9
g10
NtRp88468
(dp88469
g13
Nsg14
Nsg15
VSHP
p88470
sbNg8
(g9
g10
NtRp88471
(dp88472
g13
Nsg14
Nsg15
V100000m
p88473
sbNg8
(g9
g10
NtRp88474
(dp88475
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88476
sbg8
(g9
g10
NtRp88477
(dp88478
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/660ce4c2-6e23-4aca-b906-0996bdcf24acf
p88479
sbg8
(g9
g10
NtRp88480
(dp88481
g13
Nsg14
g74
sg15
V2013
p88482
sbg8
(g9
g10
NtRp88483
(dp88484
g13
Nsg14
g74
sg15
V2013
p88485
sbg8
(g9
g10
NtRp88486
(dp88487
g13
Nsg14
Nsg15
VFALSE
p88488
sbg8
(g9
g10
NtRp88489
(dp88490
g13
Nsg14
Nsg15
VFrance
p88491
sbg8
(g9
g10
NtRp88492
(dp88493
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88494
sbg8
(g9
g10
NtRp88495
(dp88496
g13
Nsg14
Nsg15
VFALSE
p88497
sbg8
(g9
g10
NtRp88498
(dp88499
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88500
sbg8
(g9
g10
NtRp88501
(dp88502
g13
Nsg14
Nsg15
VFALSE
p88503
sbNNNNNNNg8
(g9
g10
NtRp88504
(dp88505
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88506
(dp88507
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88508
(dp88509
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-fr_2013
p88510
sbNNtp88511
a(g8
(g9
g10
NtRp88512
(dp88513
g13
Nsg14
Nsg15
Vacc58574-941b-48c3-acfb-64461daf0dcaf
p88514
sbNg8
(g9
g10
NtRp88515
(dp88516
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (1km), May 2013
p88517
sbNNNNNg8
(g9
g10
NtRp88518
(dp88519
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88520
sbNNg8
(g9
g10
NtRp88521
(dp88522
g13
Nsg14
Nsg15
VFALSE
p88523
sbNNNg8
(g9
g10
NtRp88524
(dp88525
g13
Nsg14
Nsg15
VFALSE
p88526
sbNNg8
(g9
g10
NtRp88527
(dp88528
g13
Nsg14
Nsg15
VFALSE
p88529
sbNNg8
(g9
g10
NtRp88530
(dp88531
g13
Nsg14
Nsg15
VFALSE
p88532
sbNg8
(g9
g10
NtRp88533
(dp88534
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/acc58574-941b-48c3-acfb-64461daf0dcaf.png
p88535
sbg8
(g9
g10
NtRp88536
(dp88537
g13
Nsg14
Nsg15
VEPSG:3035
p88538
sbg8
(g9
g10
NtRp88539
(dp88540
g13
Nsg14
Nsg15
V2019-07-02
p88541
sbNg8
(g9
g10
NtRp88542
(dp88543
g13
Nsg14
Nsg15
VGeographical grid systems
p88544
sbg8
(g9
g10
NtRp88545
(dp88546
g13
Nsg14
Nsg15
Vgridding
p88547
sbg8
(g9
g10
NtRp88548
(dp88549
g13
Nsg14
Nsg15
Vvector
p88550
sbg8
(g9
g10
NtRp88551
(dp88552
g13
Nsg14
Nsg15
VSHP
p88553
sbNg8
(g9
g10
NtRp88554
(dp88555
g13
Nsg14
Nsg15
V1000m
p88556
sbNg8
(g9
g10
NtRp88557
(dp88558
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88559
sbg8
(g9
g10
NtRp88560
(dp88561
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acc58574-941b-48c3-acfb-64461daf0dcaf
p88562
sbg8
(g9
g10
NtRp88563
(dp88564
g13
Nsg14
g74
sg15
V2013
p88565
sbg8
(g9
g10
NtRp88566
(dp88567
g13
Nsg14
g74
sg15
V2013
p88568
sbg8
(g9
g10
NtRp88569
(dp88570
g13
Nsg14
Nsg15
VFALSE
p88571
sbg8
(g9
g10
NtRp88572
(dp88573
g13
Nsg14
Nsg15
VSlovakia
p88574
sbg8
(g9
g10
NtRp88575
(dp88576
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88577
sbg8
(g9
g10
NtRp88578
(dp88579
g13
Nsg14
Nsg15
VFALSE
p88580
sbg8
(g9
g10
NtRp88581
(dp88582
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88583
sbg8
(g9
g10
NtRp88584
(dp88585
g13
Nsg14
Nsg15
VFALSE
p88586
sbNNNNNNNg8
(g9
g10
NtRp88587
(dp88588
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88589
(dp88590
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88591
(dp88592
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-sk_2013
p88593
sbNNtp88594
a(g8
(g9
g10
NtRp88595
(dp88596
g13
Nsg14
Nsg15
V28b2644d-5478-490d-a462-d19b7c1ae3aef
p88597
sbNg8
(g9
g10
NtRp88598
(dp88599
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (1km), May 2013
p88600
sbNNNNNg8
(g9
g10
NtRp88601
(dp88602
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88603
sbNNg8
(g9
g10
NtRp88604
(dp88605
g13
Nsg14
Nsg15
VFALSE
p88606
sbNNNg8
(g9
g10
NtRp88607
(dp88608
g13
Nsg14
Nsg15
VFALSE
p88609
sbNNg8
(g9
g10
NtRp88610
(dp88611
g13
Nsg14
Nsg15
VFALSE
p88612
sbNNg8
(g9
g10
NtRp88613
(dp88614
g13
Nsg14
Nsg15
VFALSE
p88615
sbNg8
(g9
g10
NtRp88616
(dp88617
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b2644d-5478-490d-a462-d19b7c1ae3aef.png
p88618
sbg8
(g9
g10
NtRp88619
(dp88620
g13
Nsg14
Nsg15
VEPSG:3035
p88621
sbg8
(g9
g10
NtRp88622
(dp88623
g13
Nsg14
Nsg15
V2019-07-02
p88624
sbNg8
(g9
g10
NtRp88625
(dp88626
g13
Nsg14
Nsg15
VGeographical grid systems
p88627
sbg8
(g9
g10
NtRp88628
(dp88629
g13
Nsg14
Nsg15
Vgridding
p88630
sbg8
(g9
g10
NtRp88631
(dp88632
g13
Nsg14
Nsg15
Vvector
p88633
sbg8
(g9
g10
NtRp88634
(dp88635
g13
Nsg14
Nsg15
VSHP
p88636
sbNg8
(g9
g10
NtRp88637
(dp88638
g13
Nsg14
Nsg15
V1000m
p88639
sbNg8
(g9
g10
NtRp88640
(dp88641
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88642
sbg8
(g9
g10
NtRp88643
(dp88644
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b2644d-5478-490d-a462-d19b7c1ae3aef
p88645
sbg8
(g9
g10
NtRp88646
(dp88647
g13
Nsg14
g74
sg15
V2013
p88648
sbg8
(g9
g10
NtRp88649
(dp88650
g13
Nsg14
g74
sg15
V2013
p88651
sbg8
(g9
g10
NtRp88652
(dp88653
g13
Nsg14
Nsg15
VFALSE
p88654
sbg8
(g9
g10
NtRp88655
(dp88656
g13
Nsg14
Nsg15
VSlovenia
p88657
sbg8
(g9
g10
NtRp88658
(dp88659
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88660
sbg8
(g9
g10
NtRp88661
(dp88662
g13
Nsg14
Nsg15
VFALSE
p88663
sbg8
(g9
g10
NtRp88664
(dp88665
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88666
sbg8
(g9
g10
NtRp88667
(dp88668
g13
Nsg14
Nsg15
VFALSE
p88669
sbNNNNNNNg8
(g9
g10
NtRp88670
(dp88671
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88672
(dp88673
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88674
(dp88675
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-si_2013
p88676
sbNNtp88677
a(g8
(g9
g10
NtRp88678
(dp88679
g13
Nsg14
Nsg15
Va528d40c-8980-4545-bae4-3b5da706cc1ff
p88680
sbNg8
(g9
g10
NtRp88681
(dp88682
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (1km), May 2013
p88683
sbNNNNNg8
(g9
g10
NtRp88684
(dp88685
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88686
sbNNg8
(g9
g10
NtRp88687
(dp88688
g13
Nsg14
Nsg15
VFALSE
p88689
sbNNNg8
(g9
g10
NtRp88690
(dp88691
g13
Nsg14
Nsg15
VFALSE
p88692
sbNNg8
(g9
g10
NtRp88693
(dp88694
g13
Nsg14
Nsg15
VFALSE
p88695
sbNNg8
(g9
g10
NtRp88696
(dp88697
g13
Nsg14
Nsg15
VFALSE
p88698
sbNg8
(g9
g10
NtRp88699
(dp88700
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a528d40c-8980-4545-bae4-3b5da706cc1ff.png
p88701
sbg8
(g9
g10
NtRp88702
(dp88703
g13
Nsg14
Nsg15
VEPSG:3035
p88704
sbg8
(g9
g10
NtRp88705
(dp88706
g13
Nsg14
Nsg15
V2019-06-21
p88707
sbNg8
(g9
g10
NtRp88708
(dp88709
g13
Nsg14
Nsg15
VGeographical grid systems
p88710
sbg8
(g9
g10
NtRp88711
(dp88712
g13
Nsg14
Nsg15
Vgridding
p88713
sbg8
(g9
g10
NtRp88714
(dp88715
g13
Nsg14
Nsg15
Vvector
p88716
sbg8
(g9
g10
NtRp88717
(dp88718
g13
Nsg14
Nsg15
VSHP
p88719
sbNg8
(g9
g10
NtRp88720
(dp88721
g13
Nsg14
Nsg15
V1000m
p88722
sbNg8
(g9
g10
NtRp88723
(dp88724
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88725
sbg8
(g9
g10
NtRp88726
(dp88727
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a528d40c-8980-4545-bae4-3b5da706cc1ff
p88728
sbg8
(g9
g10
NtRp88729
(dp88730
g13
Nsg14
g74
sg15
V2013
p88731
sbg8
(g9
g10
NtRp88732
(dp88733
g13
Nsg14
g74
sg15
V2013
p88734
sbg8
(g9
g10
NtRp88735
(dp88736
g13
Nsg14
Nsg15
VFALSE
p88737
sbg8
(g9
g10
NtRp88738
(dp88739
g13
Nsg14
Nsg15
VBosnia and Herzegovina
p88740
sbg8
(g9
g10
NtRp88741
(dp88742
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88743
sbg8
(g9
g10
NtRp88744
(dp88745
g13
Nsg14
Nsg15
VFALSE
p88746
sbg8
(g9
g10
NtRp88747
(dp88748
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88749
sbg8
(g9
g10
NtRp88750
(dp88751
g13
Nsg14
Nsg15
VFALSE
p88752
sbNNNNNNNg8
(g9
g10
NtRp88753
(dp88754
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88755
(dp88756
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88757
(dp88758
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ba_2013
p88759
sbNNtp88760
a(g8
(g9
g10
NtRp88761
(dp88762
g13
Nsg14
Nsg15
Vde1b4ed1-799c-4373-a974-233a9c8150e3f
p88763
sbNg8
(g9
g10
NtRp88764
(dp88765
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (10km), May 2013
p88766
sbNNNNNg8
(g9
g10
NtRp88767
(dp88768
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88769
sbNNg8
(g9
g10
NtRp88770
(dp88771
g13
Nsg14
Nsg15
VFALSE
p88772
sbNNNg8
(g9
g10
NtRp88773
(dp88774
g13
Nsg14
Nsg15
VFALSE
p88775
sbNNg8
(g9
g10
NtRp88776
(dp88777
g13
Nsg14
Nsg15
VFALSE
p88778
sbNNg8
(g9
g10
NtRp88779
(dp88780
g13
Nsg14
Nsg15
VFALSE
p88781
sbNg8
(g9
g10
NtRp88782
(dp88783
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/de1b4ed1-799c-4373-a974-233a9c8150e3f.png
p88784
sbg8
(g9
g10
NtRp88785
(dp88786
g13
Nsg14
Nsg15
VEPSG:3035
p88787
sbg8
(g9
g10
NtRp88788
(dp88789
g13
Nsg14
Nsg15
V2019-07-02
p88790
sbNg8
(g9
g10
NtRp88791
(dp88792
g13
Nsg14
Nsg15
VGeographical grid systems
p88793
sbg8
(g9
g10
NtRp88794
(dp88795
g13
Nsg14
Nsg15
Vgridding
p88796
sbg8
(g9
g10
NtRp88797
(dp88798
g13
Nsg14
Nsg15
Vvector
p88799
sbg8
(g9
g10
NtRp88800
(dp88801
g13
Nsg14
Nsg15
VSHP
p88802
sbNg8
(g9
g10
NtRp88803
(dp88804
g13
Nsg14
Nsg15
V10000m
p88805
sbNg8
(g9
g10
NtRp88806
(dp88807
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88808
sbg8
(g9
g10
NtRp88809
(dp88810
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/de1b4ed1-799c-4373-a974-233a9c8150e3f
p88811
sbg8
(g9
g10
NtRp88812
(dp88813
g13
Nsg14
g74
sg15
V2013
p88814
sbg8
(g9
g10
NtRp88815
(dp88816
g13
Nsg14
g74
sg15
V2013
p88817
sbg8
(g9
g10
NtRp88818
(dp88819
g13
Nsg14
Nsg15
VFALSE
p88820
sbg8
(g9
g10
NtRp88821
(dp88822
g13
Nsg14
Nsg15
VSlovenia
p88823
sbg8
(g9
g10
NtRp88824
(dp88825
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88826
sbg8
(g9
g10
NtRp88827
(dp88828
g13
Nsg14
Nsg15
VFALSE
p88829
sbg8
(g9
g10
NtRp88830
(dp88831
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88832
sbg8
(g9
g10
NtRp88833
(dp88834
g13
Nsg14
Nsg15
VFALSE
p88835
sbNNNNNNNg8
(g9
g10
NtRp88836
(dp88837
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88838
(dp88839
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88840
(dp88841
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-si_2013
p88842
sbNNtp88843
a(g8
(g9
g10
NtRp88844
(dp88845
g13
Nsg14
Nsg15
V0af259f3-e0ce-49a2-a442-59a6538c5a54f
p88846
sbNg8
(g9
g10
NtRp88847
(dp88848
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (100km), May 2013
p88849
sbNNNNNg8
(g9
g10
NtRp88850
(dp88851
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88852
sbNNg8
(g9
g10
NtRp88853
(dp88854
g13
Nsg14
Nsg15
VFALSE
p88855
sbNNNg8
(g9
g10
NtRp88856
(dp88857
g13
Nsg14
Nsg15
VFALSE
p88858
sbNNg8
(g9
g10
NtRp88859
(dp88860
g13
Nsg14
Nsg15
VFALSE
p88861
sbNNg8
(g9
g10
NtRp88862
(dp88863
g13
Nsg14
Nsg15
VFALSE
p88864
sbNg8
(g9
g10
NtRp88865
(dp88866
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af259f3-e0ce-49a2-a442-59a6538c5a54f.png
p88867
sbg8
(g9
g10
NtRp88868
(dp88869
g13
Nsg14
Nsg15
VEPSG:3035
p88870
sbg8
(g9
g10
NtRp88871
(dp88872
g13
Nsg14
Nsg15
V2019-06-27
p88873
sbNg8
(g9
g10
NtRp88874
(dp88875
g13
Nsg14
Nsg15
VGeographical grid systems
p88876
sbg8
(g9
g10
NtRp88877
(dp88878
g13
Nsg14
Nsg15
Vgridding
p88879
sbg8
(g9
g10
NtRp88880
(dp88881
g13
Nsg14
Nsg15
Vvector
p88882
sbg8
(g9
g10
NtRp88883
(dp88884
g13
Nsg14
Nsg15
VSHP
p88885
sbNg8
(g9
g10
NtRp88886
(dp88887
g13
Nsg14
Nsg15
V100000m
p88888
sbNg8
(g9
g10
NtRp88889
(dp88890
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88891
sbg8
(g9
g10
NtRp88892
(dp88893
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af259f3-e0ce-49a2-a442-59a6538c5a54f
p88894
sbg8
(g9
g10
NtRp88895
(dp88896
g13
Nsg14
g74
sg15
V2013
p88897
sbg8
(g9
g10
NtRp88898
(dp88899
g13
Nsg14
g74
sg15
V2013
p88900
sbg8
(g9
g10
NtRp88901
(dp88902
g13
Nsg14
Nsg15
VFALSE
p88903
sbg8
(g9
g10
NtRp88904
(dp88905
g13
Nsg14
Nsg15
VGibraltar
p88906
sbg8
(g9
g10
NtRp88907
(dp88908
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88909
sbg8
(g9
g10
NtRp88910
(dp88911
g13
Nsg14
Nsg15
VFALSE
p88912
sbg8
(g9
g10
NtRp88913
(dp88914
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88915
sbg8
(g9
g10
NtRp88916
(dp88917
g13
Nsg14
Nsg15
VFALSE
p88918
sbNNNNNNNg8
(g9
g10
NtRp88919
(dp88920
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp88921
(dp88922
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp88923
(dp88924
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gi_2013
p88925
sbNNtp88926
a(g8
(g9
g10
NtRp88927
(dp88928
g13
Nsg14
Nsg15
V89724da0-e2be-43e3-b5bc-456fda03e3b1f
p88929
sbNg8
(g9
g10
NtRp88930
(dp88931
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (100km), May 2013
p88932
sbNNNNNg8
(g9
g10
NtRp88933
(dp88934
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p88935
sbNNg8
(g9
g10
NtRp88936
(dp88937
g13
Nsg14
Nsg15
VFALSE
p88938
sbNNNg8
(g9
g10
NtRp88939
(dp88940
g13
Nsg14
Nsg15
VFALSE
p88941
sbNNg8
(g9
g10
NtRp88942
(dp88943
g13
Nsg14
Nsg15
VFALSE
p88944
sbNNg8
(g9
g10
NtRp88945
(dp88946
g13
Nsg14
Nsg15
VFALSE
p88947
sbNg8
(g9
g10
NtRp88948
(dp88949
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89724da0-e2be-43e3-b5bc-456fda03e3b1f.png
p88950
sbg8
(g9
g10
NtRp88951
(dp88952
g13
Nsg14
Nsg15
VEPSG:3035
p88953
sbg8
(g9
g10
NtRp88954
(dp88955
g13
Nsg14
Nsg15
V2019-07-01
p88956
sbNg8
(g9
g10
NtRp88957
(dp88958
g13
Nsg14
Nsg15
VGeographical grid systems
p88959
sbg8
(g9
g10
NtRp88960
(dp88961
g13
Nsg14
Nsg15
Vgridding
p88962
sbg8
(g9
g10
NtRp88963
(dp88964
g13
Nsg14
Nsg15
Vvector
p88965
sbg8
(g9
g10
NtRp88966
(dp88967
g13
Nsg14
Nsg15
VSHP
p88968
sbNg8
(g9
g10
NtRp88969
(dp88970
g13
Nsg14
Nsg15
V100000m
p88971
sbNg8
(g9
g10
NtRp88972
(dp88973
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p88974
sbg8
(g9
g10
NtRp88975
(dp88976
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89724da0-e2be-43e3-b5bc-456fda03e3b1f
p88977
sbg8
(g9
g10
NtRp88978
(dp88979
g13
Nsg14
g74
sg15
V2013
p88980
sbg8
(g9
g10
NtRp88981
(dp88982
g13
Nsg14
g74
sg15
V2013
p88983
sbg8
(g9
g10
NtRp88984
(dp88985
g13
Nsg14
Nsg15
VFALSE
p88986
sbg8
(g9
g10
NtRp88987
(dp88988
g13
Nsg14
Nsg15
VMontenegro
p88989
sbg8
(g9
g10
NtRp88990
(dp88991
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p88992
sbg8
(g9
g10
NtRp88993
(dp88994
g13
Nsg14
Nsg15
VFALSE
p88995
sbg8
(g9
g10
NtRp88996
(dp88997
g13
Nsg14
Nsg15
VEuropean Environment Agency
p88998
sbg8
(g9
g10
NtRp88999
(dp89000
g13
Nsg14
Nsg15
VFALSE
p89001
sbNNNNNNNg8
(g9
g10
NtRp89002
(dp89003
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89004
(dp89005
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89006
(dp89007
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-me_2013
p89008
sbNNtp89009
a(g8
(g9
g10
NtRp89010
(dp89011
g13
Nsg14
Nsg15
V7f848380-750a-4928-ab3c-359d49932040f
p89012
sbNg8
(g9
g10
NtRp89013
(dp89014
g13
Nsg14
Nsg15
VEEA reference grid for Albania (10km), May 2013
p89015
sbNNNNNg8
(g9
g10
NtRp89016
(dp89017
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89018
sbNNg8
(g9
g10
NtRp89019
(dp89020
g13
Nsg14
Nsg15
VFALSE
p89021
sbNNNg8
(g9
g10
NtRp89022
(dp89023
g13
Nsg14
Nsg15
VFALSE
p89024
sbNNg8
(g9
g10
NtRp89025
(dp89026
g13
Nsg14
Nsg15
VFALSE
p89027
sbNNg8
(g9
g10
NtRp89028
(dp89029
g13
Nsg14
Nsg15
VFALSE
p89030
sbNg8
(g9
g10
NtRp89031
(dp89032
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f848380-750a-4928-ab3c-359d49932040f.png
p89033
sbg8
(g9
g10
NtRp89034
(dp89035
g13
Nsg14
Nsg15
VEPSG:3035
p89036
sbg8
(g9
g10
NtRp89037
(dp89038
g13
Nsg14
Nsg15
V2019-06-21
p89039
sbNg8
(g9
g10
NtRp89040
(dp89041
g13
Nsg14
Nsg15
VGeographical grid systems
p89042
sbg8
(g9
g10
NtRp89043
(dp89044
g13
Nsg14
Nsg15
Vgridding
p89045
sbg8
(g9
g10
NtRp89046
(dp89047
g13
Nsg14
Nsg15
Vvector
p89048
sbg8
(g9
g10
NtRp89049
(dp89050
g13
Nsg14
Nsg15
VSHP
p89051
sbNg8
(g9
g10
NtRp89052
(dp89053
g13
Nsg14
Nsg15
V10000m
p89054
sbNg8
(g9
g10
NtRp89055
(dp89056
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89057
sbg8
(g9
g10
NtRp89058
(dp89059
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f848380-750a-4928-ab3c-359d49932040f
p89060
sbg8
(g9
g10
NtRp89061
(dp89062
g13
Nsg14
g74
sg15
V2013
p89063
sbg8
(g9
g10
NtRp89064
(dp89065
g13
Nsg14
g74
sg15
V2013
p89066
sbg8
(g9
g10
NtRp89067
(dp89068
g13
Nsg14
Nsg15
VFALSE
p89069
sbg8
(g9
g10
NtRp89070
(dp89071
g13
Nsg14
Nsg15
VAlbania
p89072
sbg8
(g9
g10
NtRp89073
(dp89074
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89075
sbg8
(g9
g10
NtRp89076
(dp89077
g13
Nsg14
Nsg15
VFALSE
p89078
sbg8
(g9
g10
NtRp89079
(dp89080
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89081
sbg8
(g9
g10
NtRp89082
(dp89083
g13
Nsg14
Nsg15
VFALSE
p89084
sbNNNNNNNg8
(g9
g10
NtRp89085
(dp89086
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89087
(dp89088
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89089
(dp89090
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-al_2013
p89091
sbNNtp89092
a(g8
(g9
g10
NtRp89093
(dp89094
g13
Nsg14
Nsg15
V1538f933-943a-4c1c-ac63-a1978b1221e7f
p89095
sbNg8
(g9
g10
NtRp89096
(dp89097
g13
Nsg14
Nsg15
VEEA reference grid for Montenegro (10km), May 2013
p89098
sbNNNNNg8
(g9
g10
NtRp89099
(dp89100
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89101
sbNNg8
(g9
g10
NtRp89102
(dp89103
g13
Nsg14
Nsg15
VFALSE
p89104
sbNNNg8
(g9
g10
NtRp89105
(dp89106
g13
Nsg14
Nsg15
VFALSE
p89107
sbNNg8
(g9
g10
NtRp89108
(dp89109
g13
Nsg14
Nsg15
VFALSE
p89110
sbNNg8
(g9
g10
NtRp89111
(dp89112
g13
Nsg14
Nsg15
VFALSE
p89113
sbNg8
(g9
g10
NtRp89114
(dp89115
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1538f933-943a-4c1c-ac63-a1978b1221e7f.png
p89116
sbg8
(g9
g10
NtRp89117
(dp89118
g13
Nsg14
Nsg15
VEPSG:3035
p89119
sbg8
(g9
g10
NtRp89120
(dp89121
g13
Nsg14
Nsg15
V2019-07-01
p89122
sbNg8
(g9
g10
NtRp89123
(dp89124
g13
Nsg14
Nsg15
VGeographical grid systems
p89125
sbg8
(g9
g10
NtRp89126
(dp89127
g13
Nsg14
Nsg15
Vgridding
p89128
sbg8
(g9
g10
NtRp89129
(dp89130
g13
Nsg14
Nsg15
Vvector
p89131
sbg8
(g9
g10
NtRp89132
(dp89133
g13
Nsg14
Nsg15
VSHP
p89134
sbNg8
(g9
g10
NtRp89135
(dp89136
g13
Nsg14
Nsg15
V10000m
p89137
sbNg8
(g9
g10
NtRp89138
(dp89139
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89140
sbg8
(g9
g10
NtRp89141
(dp89142
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1538f933-943a-4c1c-ac63-a1978b1221e7f
p89143
sbg8
(g9
g10
NtRp89144
(dp89145
g13
Nsg14
g74
sg15
V2013
p89146
sbg8
(g9
g10
NtRp89147
(dp89148
g13
Nsg14
g74
sg15
V2013
p89149
sbg8
(g9
g10
NtRp89150
(dp89151
g13
Nsg14
Nsg15
VFALSE
p89152
sbg8
(g9
g10
NtRp89153
(dp89154
g13
Nsg14
Nsg15
VMontenegro
p89155
sbg8
(g9
g10
NtRp89156
(dp89157
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89158
sbg8
(g9
g10
NtRp89159
(dp89160
g13
Nsg14
Nsg15
VFALSE
p89161
sbg8
(g9
g10
NtRp89162
(dp89163
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89164
sbg8
(g9
g10
NtRp89165
(dp89166
g13
Nsg14
Nsg15
VFALSE
p89167
sbNNNNNNNg8
(g9
g10
NtRp89168
(dp89169
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89170
(dp89171
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89172
(dp89173
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-me_2013
p89174
sbNNtp89175
a(g8
(g9
g10
NtRp89176
(dp89177
g13
Nsg14
Nsg15
Vce549840-cccb-447f-82be-0ca83983a564f
p89178
sbNg8
(g9
g10
NtRp89179
(dp89180
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (1km), May 2013
p89181
sbNNNNNg8
(g9
g10
NtRp89182
(dp89183
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89184
sbNNg8
(g9
g10
NtRp89185
(dp89186
g13
Nsg14
Nsg15
VFALSE
p89187
sbNNNg8
(g9
g10
NtRp89188
(dp89189
g13
Nsg14
Nsg15
VFALSE
p89190
sbNNg8
(g9
g10
NtRp89191
(dp89192
g13
Nsg14
Nsg15
VFALSE
p89193
sbNNg8
(g9
g10
NtRp89194
(dp89195
g13
Nsg14
Nsg15
VFALSE
p89196
sbNg8
(g9
g10
NtRp89197
(dp89198
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce549840-cccb-447f-82be-0ca83983a564f.png
p89199
sbg8
(g9
g10
NtRp89200
(dp89201
g13
Nsg14
Nsg15
VEPSG:3035
p89202
sbg8
(g9
g10
NtRp89203
(dp89204
g13
Nsg14
Nsg15
V2019-07-01
p89205
sbNg8
(g9
g10
NtRp89206
(dp89207
g13
Nsg14
Nsg15
VGeographical grid systems
p89208
sbg8
(g9
g10
NtRp89209
(dp89210
g13
Nsg14
Nsg15
Vgridding
p89211
sbg8
(g9
g10
NtRp89212
(dp89213
g13
Nsg14
Nsg15
Vvector
p89214
sbg8
(g9
g10
NtRp89215
(dp89216
g13
Nsg14
Nsg15
VSHP
p89217
sbNg8
(g9
g10
NtRp89218
(dp89219
g13
Nsg14
Nsg15
V1000m
p89220
sbNg8
(g9
g10
NtRp89221
(dp89222
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89223
sbg8
(g9
g10
NtRp89224
(dp89225
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce549840-cccb-447f-82be-0ca83983a564f
p89226
sbg8
(g9
g10
NtRp89227
(dp89228
g13
Nsg14
g74
sg15
V2013
p89229
sbg8
(g9
g10
NtRp89230
(dp89231
g13
Nsg14
g74
sg15
V2013
p89232
sbg8
(g9
g10
NtRp89233
(dp89234
g13
Nsg14
Nsg15
VFALSE
p89235
sbg8
(g9
g10
NtRp89236
(dp89237
g13
Nsg14
Nsg15
VLiechtenstein
p89238
sbg8
(g9
g10
NtRp89239
(dp89240
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89241
sbg8
(g9
g10
NtRp89242
(dp89243
g13
Nsg14
Nsg15
VFALSE
p89244
sbg8
(g9
g10
NtRp89245
(dp89246
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89247
sbg8
(g9
g10
NtRp89248
(dp89249
g13
Nsg14
Nsg15
VFALSE
p89250
sbNNNNNNNg8
(g9
g10
NtRp89251
(dp89252
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89253
(dp89254
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89255
(dp89256
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-li_2013
p89257
sbNNtp89258
a(g8
(g9
g10
NtRp89259
(dp89260
g13
Nsg14
Nsg15
V6227f089-cc93-4c8d-89b5-d06516b2bcdcf
p89261
sbNg8
(g9
g10
NtRp89262
(dp89263
g13
Nsg14
Nsg15
VEEA reference grid for Norway (10km), May 2013
p89264
sbNNNNNg8
(g9
g10
NtRp89265
(dp89266
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89267
sbNNg8
(g9
g10
NtRp89268
(dp89269
g13
Nsg14
Nsg15
VFALSE
p89270
sbNNNg8
(g9
g10
NtRp89271
(dp89272
g13
Nsg14
Nsg15
VFALSE
p89273
sbNNg8
(g9
g10
NtRp89274
(dp89275
g13
Nsg14
Nsg15
VFALSE
p89276
sbNNg8
(g9
g10
NtRp89277
(dp89278
g13
Nsg14
Nsg15
VFALSE
p89279
sbNg8
(g9
g10
NtRp89280
(dp89281
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6227f089-cc93-4c8d-89b5-d06516b2bcdcf.png
p89282
sbg8
(g9
g10
NtRp89283
(dp89284
g13
Nsg14
Nsg15
VEPSG:3035
p89285
sbg8
(g9
g10
NtRp89286
(dp89287
g13
Nsg14
Nsg15
V2019-07-02
p89288
sbNg8
(g9
g10
NtRp89289
(dp89290
g13
Nsg14
Nsg15
VGeographical grid systems
p89291
sbg8
(g9
g10
NtRp89292
(dp89293
g13
Nsg14
Nsg15
Vgridding
p89294
sbg8
(g9
g10
NtRp89295
(dp89296
g13
Nsg14
Nsg15
Vvector
p89297
sbg8
(g9
g10
NtRp89298
(dp89299
g13
Nsg14
Nsg15
VSHP
p89300
sbNg8
(g9
g10
NtRp89301
(dp89302
g13
Nsg14
Nsg15
V10000m
p89303
sbNg8
(g9
g10
NtRp89304
(dp89305
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89306
sbg8
(g9
g10
NtRp89307
(dp89308
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6227f089-cc93-4c8d-89b5-d06516b2bcdcf
p89309
sbg8
(g9
g10
NtRp89310
(dp89311
g13
Nsg14
g74
sg15
V2013
p89312
sbg8
(g9
g10
NtRp89313
(dp89314
g13
Nsg14
g74
sg15
V2013
p89315
sbg8
(g9
g10
NtRp89316
(dp89317
g13
Nsg14
Nsg15
VFALSE
p89318
sbg8
(g9
g10
NtRp89319
(dp89320
g13
Nsg14
Nsg15
VNorway
p89321
sbg8
(g9
g10
NtRp89322
(dp89323
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89324
sbg8
(g9
g10
NtRp89325
(dp89326
g13
Nsg14
Nsg15
VFALSE
p89327
sbg8
(g9
g10
NtRp89328
(dp89329
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89330
sbg8
(g9
g10
NtRp89331
(dp89332
g13
Nsg14
Nsg15
VFALSE
p89333
sbNNNNNNNg8
(g9
g10
NtRp89334
(dp89335
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89336
(dp89337
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89338
(dp89339
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-no_2013
p89340
sbNNtp89341
a(g8
(g9
g10
NtRp89342
(dp89343
g13
Nsg14
Nsg15
V50ac55b9-f48d-4baa-bf44-f7e2d8904c6df
p89344
sbNg8
(g9
g10
NtRp89345
(dp89346
g13
Nsg14
Nsg15
VEEA reference grid for Italy (100km), May 2013
p89347
sbNNNNNg8
(g9
g10
NtRp89348
(dp89349
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89350
sbNNg8
(g9
g10
NtRp89351
(dp89352
g13
Nsg14
Nsg15
VFALSE
p89353
sbNNNg8
(g9
g10
NtRp89354
(dp89355
g13
Nsg14
Nsg15
VFALSE
p89356
sbNNg8
(g9
g10
NtRp89357
(dp89358
g13
Nsg14
Nsg15
VFALSE
p89359
sbNNg8
(g9
g10
NtRp89360
(dp89361
g13
Nsg14
Nsg15
VFALSE
p89362
sbNg8
(g9
g10
NtRp89363
(dp89364
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/50ac55b9-f48d-4baa-bf44-f7e2d8904c6df.png
p89365
sbg8
(g9
g10
NtRp89366
(dp89367
g13
Nsg14
Nsg15
VEPSG:3035
p89368
sbg8
(g9
g10
NtRp89369
(dp89370
g13
Nsg14
Nsg15
V2019-07-01
p89371
sbNg8
(g9
g10
NtRp89372
(dp89373
g13
Nsg14
Nsg15
VGeographical grid systems
p89374
sbg8
(g9
g10
NtRp89375
(dp89376
g13
Nsg14
Nsg15
Vgridding
p89377
sbg8
(g9
g10
NtRp89378
(dp89379
g13
Nsg14
Nsg15
Vvector
p89380
sbg8
(g9
g10
NtRp89381
(dp89382
g13
Nsg14
Nsg15
VSHP
p89383
sbNg8
(g9
g10
NtRp89384
(dp89385
g13
Nsg14
Nsg15
V100000m
p89386
sbNg8
(g9
g10
NtRp89387
(dp89388
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89389
sbg8
(g9
g10
NtRp89390
(dp89391
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50ac55b9-f48d-4baa-bf44-f7e2d8904c6df
p89392
sbg8
(g9
g10
NtRp89393
(dp89394
g13
Nsg14
g74
sg15
V2013
p89395
sbg8
(g9
g10
NtRp89396
(dp89397
g13
Nsg14
g74
sg15
V2013
p89398
sbg8
(g9
g10
NtRp89399
(dp89400
g13
Nsg14
Nsg15
VFALSE
p89401
sbg8
(g9
g10
NtRp89402
(dp89403
g13
Nsg14
Nsg15
VItaly
p89404
sbg8
(g9
g10
NtRp89405
(dp89406
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89407
sbg8
(g9
g10
NtRp89408
(dp89409
g13
Nsg14
Nsg15
VFALSE
p89410
sbg8
(g9
g10
NtRp89411
(dp89412
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89413
sbg8
(g9
g10
NtRp89414
(dp89415
g13
Nsg14
Nsg15
VFALSE
p89416
sbNNNNNNNg8
(g9
g10
NtRp89417
(dp89418
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89419
(dp89420
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89421
(dp89422
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-it_2013
p89423
sbNNtp89424
a(g8
(g9
g10
NtRp89425
(dp89426
g13
Nsg14
Nsg15
V6c5c0398-1dbb-4c8a-be02-d2562d590e60f
p89427
sbNg8
(g9
g10
NtRp89428
(dp89429
g13
Nsg14
Nsg15
VEEA reference grid for Spain (100km), May 2013
p89430
sbNNNNNg8
(g9
g10
NtRp89431
(dp89432
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89433
sbNNg8
(g9
g10
NtRp89434
(dp89435
g13
Nsg14
Nsg15
VFALSE
p89436
sbNNNg8
(g9
g10
NtRp89437
(dp89438
g13
Nsg14
Nsg15
VFALSE
p89439
sbNNg8
(g9
g10
NtRp89440
(dp89441
g13
Nsg14
Nsg15
VFALSE
p89442
sbNNg8
(g9
g10
NtRp89443
(dp89444
g13
Nsg14
Nsg15
VFALSE
p89445
sbNg8
(g9
g10
NtRp89446
(dp89447
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c5c0398-1dbb-4c8a-be02-d2562d590e60f.png
p89448
sbg8
(g9
g10
NtRp89449
(dp89450
g13
Nsg14
Nsg15
VEPSG:3035
p89451
sbg8
(g9
g10
NtRp89452
(dp89453
g13
Nsg14
Nsg15
V2019-07-02
p89454
sbNg8
(g9
g10
NtRp89455
(dp89456
g13
Nsg14
Nsg15
VGeographical grid systems
p89457
sbg8
(g9
g10
NtRp89458
(dp89459
g13
Nsg14
Nsg15
Vgridding
p89460
sbg8
(g9
g10
NtRp89461
(dp89462
g13
Nsg14
Nsg15
Vvector
p89463
sbg8
(g9
g10
NtRp89464
(dp89465
g13
Nsg14
Nsg15
VSHP
p89466
sbNg8
(g9
g10
NtRp89467
(dp89468
g13
Nsg14
Nsg15
V100000m
p89469
sbNg8
(g9
g10
NtRp89470
(dp89471
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89472
sbg8
(g9
g10
NtRp89473
(dp89474
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c5c0398-1dbb-4c8a-be02-d2562d590e60f
p89475
sbg8
(g9
g10
NtRp89476
(dp89477
g13
Nsg14
g74
sg15
V2013
p89478
sbg8
(g9
g10
NtRp89479
(dp89480
g13
Nsg14
g74
sg15
V2013
p89481
sbg8
(g9
g10
NtRp89482
(dp89483
g13
Nsg14
Nsg15
VFALSE
p89484
sbg8
(g9
g10
NtRp89485
(dp89486
g13
Nsg14
Nsg15
VSpain
p89487
sbg8
(g9
g10
NtRp89488
(dp89489
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89490
sbg8
(g9
g10
NtRp89491
(dp89492
g13
Nsg14
Nsg15
VFALSE
p89493
sbg8
(g9
g10
NtRp89494
(dp89495
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89496
sbg8
(g9
g10
NtRp89497
(dp89498
g13
Nsg14
Nsg15
VFALSE
p89499
sbNNNNNNNg8
(g9
g10
NtRp89500
(dp89501
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89502
(dp89503
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89504
(dp89505
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-es_2013
p89506
sbNNtp89507
a(g8
(g9
g10
NtRp89508
(dp89509
g13
Nsg14
Nsg15
Vf14cdb8d-3379-453f-abce-4e845abfe218f
p89510
sbNg8
(g9
g10
NtRp89511
(dp89512
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (100km), May 2013
p89513
sbNNNNNg8
(g9
g10
NtRp89514
(dp89515
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89516
sbNNg8
(g9
g10
NtRp89517
(dp89518
g13
Nsg14
Nsg15
VFALSE
p89519
sbNNNg8
(g9
g10
NtRp89520
(dp89521
g13
Nsg14
Nsg15
VFALSE
p89522
sbNNg8
(g9
g10
NtRp89523
(dp89524
g13
Nsg14
Nsg15
VFALSE
p89525
sbNNg8
(g9
g10
NtRp89526
(dp89527
g13
Nsg14
Nsg15
VFALSE
p89528
sbNg8
(g9
g10
NtRp89529
(dp89530
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f14cdb8d-3379-453f-abce-4e845abfe218f.png
p89531
sbg8
(g9
g10
NtRp89532
(dp89533
g13
Nsg14
Nsg15
VEPSG:3035
p89534
sbg8
(g9
g10
NtRp89535
(dp89536
g13
Nsg14
Nsg15
V2019-07-02
p89537
sbNg8
(g9
g10
NtRp89538
(dp89539
g13
Nsg14
Nsg15
VGeographical grid systems
p89540
sbg8
(g9
g10
NtRp89541
(dp89542
g13
Nsg14
Nsg15
Vgridding
p89543
sbg8
(g9
g10
NtRp89544
(dp89545
g13
Nsg14
Nsg15
Vvector
p89546
sbg8
(g9
g10
NtRp89547
(dp89548
g13
Nsg14
Nsg15
VSHP
p89549
sbNg8
(g9
g10
NtRp89550
(dp89551
g13
Nsg14
Nsg15
V100000m
p89552
sbNg8
(g9
g10
NtRp89553
(dp89554
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89555
sbg8
(g9
g10
NtRp89556
(dp89557
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f14cdb8d-3379-453f-abce-4e845abfe218f
p89558
sbg8
(g9
g10
NtRp89559
(dp89560
g13
Nsg14
g74
sg15
V2013
p89561
sbg8
(g9
g10
NtRp89562
(dp89563
g13
Nsg14
g74
sg15
V2013
p89564
sbg8
(g9
g10
NtRp89565
(dp89566
g13
Nsg14
Nsg15
VFALSE
p89567
sbg8
(g9
g10
NtRp89568
(dp89569
g13
Nsg14
Nsg15
VSweden
p89570
sbg8
(g9
g10
NtRp89571
(dp89572
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89573
sbg8
(g9
g10
NtRp89574
(dp89575
g13
Nsg14
Nsg15
VFALSE
p89576
sbg8
(g9
g10
NtRp89577
(dp89578
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89579
sbg8
(g9
g10
NtRp89580
(dp89581
g13
Nsg14
Nsg15
VFALSE
p89582
sbNNNNNNNg8
(g9
g10
NtRp89583
(dp89584
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89585
(dp89586
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89587
(dp89588
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-se_2013
p89589
sbNNtp89590
a(g8
(g9
g10
NtRp89591
(dp89592
g13
Nsg14
Nsg15
V1808bf4b-761f-4ffd-a000-dececbda5e0ef
p89593
sbNg8
(g9
g10
NtRp89594
(dp89595
g13
Nsg14
Nsg15
VEEA reference grid for Greece (10km), May 2013
p89596
sbNNNNNg8
(g9
g10
NtRp89597
(dp89598
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89599
sbNNg8
(g9
g10
NtRp89600
(dp89601
g13
Nsg14
Nsg15
VFALSE
p89602
sbNNNg8
(g9
g10
NtRp89603
(dp89604
g13
Nsg14
Nsg15
VFALSE
p89605
sbNNg8
(g9
g10
NtRp89606
(dp89607
g13
Nsg14
Nsg15
VFALSE
p89608
sbNNg8
(g9
g10
NtRp89609
(dp89610
g13
Nsg14
Nsg15
VFALSE
p89611
sbNg8
(g9
g10
NtRp89612
(dp89613
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1808bf4b-761f-4ffd-a000-dececbda5e0ef.png
p89614
sbg8
(g9
g10
NtRp89615
(dp89616
g13
Nsg14
Nsg15
VEPSG:3035
p89617
sbg8
(g9
g10
NtRp89618
(dp89619
g13
Nsg14
Nsg15
V2019-07-01
p89620
sbNg8
(g9
g10
NtRp89621
(dp89622
g13
Nsg14
Nsg15
VGeographical grid systems
p89623
sbg8
(g9
g10
NtRp89624
(dp89625
g13
Nsg14
Nsg15
Vgridding
p89626
sbg8
(g9
g10
NtRp89627
(dp89628
g13
Nsg14
Nsg15
Vvector
p89629
sbg8
(g9
g10
NtRp89630
(dp89631
g13
Nsg14
Nsg15
VSHP
p89632
sbNg8
(g9
g10
NtRp89633
(dp89634
g13
Nsg14
Nsg15
V10000m
p89635
sbNg8
(g9
g10
NtRp89636
(dp89637
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89638
sbg8
(g9
g10
NtRp89639
(dp89640
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1808bf4b-761f-4ffd-a000-dececbda5e0ef
p89641
sbg8
(g9
g10
NtRp89642
(dp89643
g13
Nsg14
g74
sg15
V2013
p89644
sbg8
(g9
g10
NtRp89645
(dp89646
g13
Nsg14
g74
sg15
V2013
p89647
sbg8
(g9
g10
NtRp89648
(dp89649
g13
Nsg14
Nsg15
VFALSE
p89650
sbg8
(g9
g10
NtRp89651
(dp89652
g13
Nsg14
Nsg15
VGreece
p89653
sbg8
(g9
g10
NtRp89654
(dp89655
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89656
sbg8
(g9
g10
NtRp89657
(dp89658
g13
Nsg14
Nsg15
VFALSE
p89659
sbg8
(g9
g10
NtRp89660
(dp89661
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89662
sbg8
(g9
g10
NtRp89663
(dp89664
g13
Nsg14
Nsg15
VFALSE
p89665
sbNNNNNNNg8
(g9
g10
NtRp89666
(dp89667
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89668
(dp89669
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89670
(dp89671
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gr_2013
p89672
sbNNtp89673
a(g8
(g9
g10
NtRp89674
(dp89675
g13
Nsg14
Nsg15
V7d7153c4-3d31-4ec6-ae64-db53afe95798f
p89676
sbNg8
(g9
g10
NtRp89677
(dp89678
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (100km), May 2013
p89679
sbNNNNNg8
(g9
g10
NtRp89680
(dp89681
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89682
sbNNg8
(g9
g10
NtRp89683
(dp89684
g13
Nsg14
Nsg15
VFALSE
p89685
sbNNNg8
(g9
g10
NtRp89686
(dp89687
g13
Nsg14
Nsg15
VFALSE
p89688
sbNNg8
(g9
g10
NtRp89689
(dp89690
g13
Nsg14
Nsg15
VFALSE
p89691
sbNNg8
(g9
g10
NtRp89692
(dp89693
g13
Nsg14
Nsg15
VFALSE
p89694
sbNg8
(g9
g10
NtRp89695
(dp89696
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7d7153c4-3d31-4ec6-ae64-db53afe95798f.png
p89697
sbg8
(g9
g10
NtRp89698
(dp89699
g13
Nsg14
Nsg15
VEPSG:3035
p89700
sbg8
(g9
g10
NtRp89701
(dp89702
g13
Nsg14
Nsg15
V2019-07-01
p89703
sbNg8
(g9
g10
NtRp89704
(dp89705
g13
Nsg14
Nsg15
VGeographical grid systems
p89706
sbg8
(g9
g10
NtRp89707
(dp89708
g13
Nsg14
Nsg15
Vgridding
p89709
sbg8
(g9
g10
NtRp89710
(dp89711
g13
Nsg14
Nsg15
Vvector
p89712
sbg8
(g9
g10
NtRp89713
(dp89714
g13
Nsg14
Nsg15
VSHP
p89715
sbNg8
(g9
g10
NtRp89716
(dp89717
g13
Nsg14
Nsg15
V100000m
p89718
sbNg8
(g9
g10
NtRp89719
(dp89720
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89721
sbg8
(g9
g10
NtRp89722
(dp89723
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7d7153c4-3d31-4ec6-ae64-db53afe95798f
p89724
sbg8
(g9
g10
NtRp89725
(dp89726
g13
Nsg14
g74
sg15
V2013
p89727
sbg8
(g9
g10
NtRp89728
(dp89729
g13
Nsg14
g74
sg15
V2013
p89730
sbg8
(g9
g10
NtRp89731
(dp89732
g13
Nsg14
Nsg15
VFALSE
p89733
sbg8
(g9
g10
NtRp89734
(dp89735
g13
Nsg14
Nsg15
VLiechtenstein
p89736
sbg8
(g9
g10
NtRp89737
(dp89738
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89739
sbg8
(g9
g10
NtRp89740
(dp89741
g13
Nsg14
Nsg15
VFALSE
p89742
sbg8
(g9
g10
NtRp89743
(dp89744
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89745
sbg8
(g9
g10
NtRp89746
(dp89747
g13
Nsg14
Nsg15
VFALSE
p89748
sbNNNNNNNg8
(g9
g10
NtRp89749
(dp89750
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89751
(dp89752
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89753
(dp89754
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-li_2013
p89755
sbNNtp89756
a(g8
(g9
g10
NtRp89757
(dp89758
g13
Nsg14
Nsg15
V5d75de62-2cbf-452e-85a8-605d8368cc37f
p89759
sbNg8
(g9
g10
NtRp89760
(dp89761
g13
Nsg14
Nsg15
VEEA reference grid for Albania (1km), May 2013
p89762
sbNNNNNg8
(g9
g10
NtRp89763
(dp89764
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89765
sbNNg8
(g9
g10
NtRp89766
(dp89767
g13
Nsg14
Nsg15
VFALSE
p89768
sbNNNg8
(g9
g10
NtRp89769
(dp89770
g13
Nsg14
Nsg15
VFALSE
p89771
sbNNg8
(g9
g10
NtRp89772
(dp89773
g13
Nsg14
Nsg15
VFALSE
p89774
sbNNg8
(g9
g10
NtRp89775
(dp89776
g13
Nsg14
Nsg15
VFALSE
p89777
sbNg8
(g9
g10
NtRp89778
(dp89779
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d75de62-2cbf-452e-85a8-605d8368cc37f.png
p89780
sbg8
(g9
g10
NtRp89781
(dp89782
g13
Nsg14
Nsg15
VEPSG:3035
p89783
sbg8
(g9
g10
NtRp89784
(dp89785
g13
Nsg14
Nsg15
V2019-06-21
p89786
sbNg8
(g9
g10
NtRp89787
(dp89788
g13
Nsg14
Nsg15
VGeographical grid systems
p89789
sbg8
(g9
g10
NtRp89790
(dp89791
g13
Nsg14
Nsg15
Vgridding
p89792
sbg8
(g9
g10
NtRp89793
(dp89794
g13
Nsg14
Nsg15
Vvector
p89795
sbg8
(g9
g10
NtRp89796
(dp89797
g13
Nsg14
Nsg15
VSHP
p89798
sbNg8
(g9
g10
NtRp89799
(dp89800
g13
Nsg14
Nsg15
V1000m
p89801
sbNg8
(g9
g10
NtRp89802
(dp89803
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89804
sbg8
(g9
g10
NtRp89805
(dp89806
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d75de62-2cbf-452e-85a8-605d8368cc37f
p89807
sbg8
(g9
g10
NtRp89808
(dp89809
g13
Nsg14
g74
sg15
V2013
p89810
sbg8
(g9
g10
NtRp89811
(dp89812
g13
Nsg14
g74
sg15
V2013
p89813
sbg8
(g9
g10
NtRp89814
(dp89815
g13
Nsg14
Nsg15
VFALSE
p89816
sbg8
(g9
g10
NtRp89817
(dp89818
g13
Nsg14
Nsg15
VAlbania
p89819
sbg8
(g9
g10
NtRp89820
(dp89821
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89822
sbg8
(g9
g10
NtRp89823
(dp89824
g13
Nsg14
Nsg15
VFALSE
p89825
sbg8
(g9
g10
NtRp89826
(dp89827
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89828
sbg8
(g9
g10
NtRp89829
(dp89830
g13
Nsg14
Nsg15
VFALSE
p89831
sbNNNNNNNg8
(g9
g10
NtRp89832
(dp89833
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89834
(dp89835
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89836
(dp89837
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-al_2013
p89838
sbNNtp89839
a(g8
(g9
g10
NtRp89840
(dp89841
g13
Nsg14
Nsg15
Vf8b8e91c-761f-4c32-9d43-89bab72051e2f
p89842
sbNg8
(g9
g10
NtRp89843
(dp89844
g13
Nsg14
Nsg15
VEEA reference grid for Portugal (1km), May 2013
p89845
sbNNNNNg8
(g9
g10
NtRp89846
(dp89847
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89848
sbNNg8
(g9
g10
NtRp89849
(dp89850
g13
Nsg14
Nsg15
VFALSE
p89851
sbNNNg8
(g9
g10
NtRp89852
(dp89853
g13
Nsg14
Nsg15
VFALSE
p89854
sbNNg8
(g9
g10
NtRp89855
(dp89856
g13
Nsg14
Nsg15
VFALSE
p89857
sbNNg8
(g9
g10
NtRp89858
(dp89859
g13
Nsg14
Nsg15
VFALSE
p89860
sbNg8
(g9
g10
NtRp89861
(dp89862
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8b8e91c-761f-4c32-9d43-89bab72051e2f.png
p89863
sbg8
(g9
g10
NtRp89864
(dp89865
g13
Nsg14
Nsg15
VEPSG:3035
p89866
sbg8
(g9
g10
NtRp89867
(dp89868
g13
Nsg14
Nsg15
V2019-07-02
p89869
sbNg8
(g9
g10
NtRp89870
(dp89871
g13
Nsg14
Nsg15
VGeographical grid systems
p89872
sbg8
(g9
g10
NtRp89873
(dp89874
g13
Nsg14
Nsg15
Vgridding
p89875
sbg8
(g9
g10
NtRp89876
(dp89877
g13
Nsg14
Nsg15
Vvector
p89878
sbg8
(g9
g10
NtRp89879
(dp89880
g13
Nsg14
Nsg15
VSHP
p89881
sbNg8
(g9
g10
NtRp89882
(dp89883
g13
Nsg14
Nsg15
V1000m
p89884
sbNg8
(g9
g10
NtRp89885
(dp89886
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89887
sbg8
(g9
g10
NtRp89888
(dp89889
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8b8e91c-761f-4c32-9d43-89bab72051e2f
p89890
sbg8
(g9
g10
NtRp89891
(dp89892
g13
Nsg14
g74
sg15
V2013
p89893
sbg8
(g9
g10
NtRp89894
(dp89895
g13
Nsg14
g74
sg15
V2013
p89896
sbg8
(g9
g10
NtRp89897
(dp89898
g13
Nsg14
Nsg15
VFALSE
p89899
sbg8
(g9
g10
NtRp89900
(dp89901
g13
Nsg14
Nsg15
VPortugal
p89902
sbg8
(g9
g10
NtRp89903
(dp89904
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89905
sbg8
(g9
g10
NtRp89906
(dp89907
g13
Nsg14
Nsg15
VFALSE
p89908
sbg8
(g9
g10
NtRp89909
(dp89910
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89911
sbg8
(g9
g10
NtRp89912
(dp89913
g13
Nsg14
Nsg15
VFALSE
p89914
sbNNNNNNNg8
(g9
g10
NtRp89915
(dp89916
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp89917
(dp89918
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp89919
(dp89920
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt_2013
p89921
sbNNtp89922
a(g8
(g9
g10
NtRp89923
(dp89924
g13
Nsg14
Nsg15
V4540ed52-66ff-468b-b832-b903872e3f13f
p89925
sbNg8
(g9
g10
NtRp89926
(dp89927
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (1km), May 2013
p89928
sbNNNNNg8
(g9
g10
NtRp89929
(dp89930
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p89931
sbNNg8
(g9
g10
NtRp89932
(dp89933
g13
Nsg14
Nsg15
VFALSE
p89934
sbNNNg8
(g9
g10
NtRp89935
(dp89936
g13
Nsg14
Nsg15
VFALSE
p89937
sbNNg8
(g9
g10
NtRp89938
(dp89939
g13
Nsg14
Nsg15
VFALSE
p89940
sbNNg8
(g9
g10
NtRp89941
(dp89942
g13
Nsg14
Nsg15
VFALSE
p89943
sbNg8
(g9
g10
NtRp89944
(dp89945
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4540ed52-66ff-468b-b832-b903872e3f13f.png
p89946
sbg8
(g9
g10
NtRp89947
(dp89948
g13
Nsg14
Nsg15
VEPSG:3035
p89949
sbg8
(g9
g10
NtRp89950
(dp89951
g13
Nsg14
Nsg15
V2019-06-21
p89952
sbNg8
(g9
g10
NtRp89953
(dp89954
g13
Nsg14
Nsg15
VGeographical grid systems
p89955
sbg8
(g9
g10
NtRp89956
(dp89957
g13
Nsg14
Nsg15
Vgridding
p89958
sbg8
(g9
g10
NtRp89959
(dp89960
g13
Nsg14
Nsg15
Vvector
p89961
sbg8
(g9
g10
NtRp89962
(dp89963
g13
Nsg14
Nsg15
VSHP
p89964
sbNg8
(g9
g10
NtRp89965
(dp89966
g13
Nsg14
Nsg15
V1000m
p89967
sbNg8
(g9
g10
NtRp89968
(dp89969
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p89970
sbg8
(g9
g10
NtRp89971
(dp89972
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4540ed52-66ff-468b-b832-b903872e3f13f
p89973
sbg8
(g9
g10
NtRp89974
(dp89975
g13
Nsg14
g74
sg15
V2013
p89976
sbg8
(g9
g10
NtRp89977
(dp89978
g13
Nsg14
g74
sg15
V2013
p89979
sbg8
(g9
g10
NtRp89980
(dp89981
g13
Nsg14
Nsg15
VFALSE
p89982
sbg8
(g9
g10
NtRp89983
(dp89984
g13
Nsg14
Nsg15
VDenmark
p89985
sbg8
(g9
g10
NtRp89986
(dp89987
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p89988
sbg8
(g9
g10
NtRp89989
(dp89990
g13
Nsg14
Nsg15
VFALSE
p89991
sbg8
(g9
g10
NtRp89992
(dp89993
g13
Nsg14
Nsg15
VEuropean Environment Agency
p89994
sbg8
(g9
g10
NtRp89995
(dp89996
g13
Nsg14
Nsg15
VFALSE
p89997
sbNNNNNNNg8
(g9
g10
NtRp89998
(dp89999
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90000
(dp90001
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90002
(dp90003
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-dk_2013
p90004
sbNNtp90005
a(g8
(g9
g10
NtRp90006
(dp90007
g13
Nsg14
Nsg15
V3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff
p90008
sbNg8
(g9
g10
NtRp90009
(dp90010
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (100km), May 2013
p90011
sbNNNNNg8
(g9
g10
NtRp90012
(dp90013
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90014
sbNNg8
(g9
g10
NtRp90015
(dp90016
g13
Nsg14
Nsg15
VFALSE
p90017
sbNNNg8
(g9
g10
NtRp90018
(dp90019
g13
Nsg14
Nsg15
VFALSE
p90020
sbNNg8
(g9
g10
NtRp90021
(dp90022
g13
Nsg14
Nsg15
VFALSE
p90023
sbNNg8
(g9
g10
NtRp90024
(dp90025
g13
Nsg14
Nsg15
VFALSE
p90026
sbNg8
(g9
g10
NtRp90027
(dp90028
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff.png
p90029
sbg8
(g9
g10
NtRp90030
(dp90031
g13
Nsg14
Nsg15
VEPSG:3035
p90032
sbg8
(g9
g10
NtRp90033
(dp90034
g13
Nsg14
Nsg15
V2019-07-02
p90035
sbNg8
(g9
g10
NtRp90036
(dp90037
g13
Nsg14
Nsg15
VGeographical grid systems
p90038
sbg8
(g9
g10
NtRp90039
(dp90040
g13
Nsg14
Nsg15
Vgridding
p90041
sbg8
(g9
g10
NtRp90042
(dp90043
g13
Nsg14
Nsg15
Vvector
p90044
sbg8
(g9
g10
NtRp90045
(dp90046
g13
Nsg14
Nsg15
VSHP
p90047
sbNg8
(g9
g10
NtRp90048
(dp90049
g13
Nsg14
Nsg15
V100000m
p90050
sbNg8
(g9
g10
NtRp90051
(dp90052
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90053
sbg8
(g9
g10
NtRp90054
(dp90055
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff
p90056
sbg8
(g9
g10
NtRp90057
(dp90058
g13
Nsg14
g74
sg15
V2013
p90059
sbg8
(g9
g10
NtRp90060
(dp90061
g13
Nsg14
g74
sg15
V2013
p90062
sbg8
(g9
g10
NtRp90063
(dp90064
g13
Nsg14
Nsg15
VFALSE
p90065
sbg8
(g9
g10
NtRp90066
(dp90067
g13
Nsg14
Nsg15
VSwitzerland
p90068
sbg8
(g9
g10
NtRp90069
(dp90070
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90071
sbg8
(g9
g10
NtRp90072
(dp90073
g13
Nsg14
Nsg15
VFALSE
p90074
sbg8
(g9
g10
NtRp90075
(dp90076
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90077
sbg8
(g9
g10
NtRp90078
(dp90079
g13
Nsg14
Nsg15
VFALSE
p90080
sbNNNNNNNg8
(g9
g10
NtRp90081
(dp90082
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90083
(dp90084
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90085
(dp90086
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ch_2013
p90087
sbNNtp90088
a(g8
(g9
g10
NtRp90089
(dp90090
g13
Nsg14
Nsg15
V236b655e-4e5f-48dd-9428-820ef1f467a8f
p90091
sbNg8
(g9
g10
NtRp90092
(dp90093
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (100km), May 2013
p90094
sbNNNNNg8
(g9
g10
NtRp90095
(dp90096
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90097
sbNNg8
(g9
g10
NtRp90098
(dp90099
g13
Nsg14
Nsg15
VFALSE
p90100
sbNNNg8
(g9
g10
NtRp90101
(dp90102
g13
Nsg14
Nsg15
VFALSE
p90103
sbNNg8
(g9
g10
NtRp90104
(dp90105
g13
Nsg14
Nsg15
VFALSE
p90106
sbNNg8
(g9
g10
NtRp90107
(dp90108
g13
Nsg14
Nsg15
VFALSE
p90109
sbNg8
(g9
g10
NtRp90110
(dp90111
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/236b655e-4e5f-48dd-9428-820ef1f467a8f.png
p90112
sbg8
(g9
g10
NtRp90113
(dp90114
g13
Nsg14
Nsg15
VEPSG:3035
p90115
sbg8
(g9
g10
NtRp90116
(dp90117
g13
Nsg14
Nsg15
V2019-06-21
p90118
sbNg8
(g9
g10
NtRp90119
(dp90120
g13
Nsg14
Nsg15
VGeographical grid systems
p90121
sbg8
(g9
g10
NtRp90122
(dp90123
g13
Nsg14
Nsg15
Vgridding
p90124
sbg8
(g9
g10
NtRp90125
(dp90126
g13
Nsg14
Nsg15
Vvector
p90127
sbg8
(g9
g10
NtRp90128
(dp90129
g13
Nsg14
Nsg15
VSHP
p90130
sbNg8
(g9
g10
NtRp90131
(dp90132
g13
Nsg14
Nsg15
V100000m
p90133
sbNg8
(g9
g10
NtRp90134
(dp90135
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90136
sbg8
(g9
g10
NtRp90137
(dp90138
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/236b655e-4e5f-48dd-9428-820ef1f467a8f
p90139
sbg8
(g9
g10
NtRp90140
(dp90141
g13
Nsg14
g74
sg15
V2013
p90142
sbg8
(g9
g10
NtRp90143
(dp90144
g13
Nsg14
g74
sg15
V2013
p90145
sbg8
(g9
g10
NtRp90146
(dp90147
g13
Nsg14
Nsg15
VFALSE
p90148
sbg8
(g9
g10
NtRp90149
(dp90150
g13
Nsg14
Nsg15
VBulgaria
p90151
sbg8
(g9
g10
NtRp90152
(dp90153
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90154
sbg8
(g9
g10
NtRp90155
(dp90156
g13
Nsg14
Nsg15
VFALSE
p90157
sbg8
(g9
g10
NtRp90158
(dp90159
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90160
sbg8
(g9
g10
NtRp90161
(dp90162
g13
Nsg14
Nsg15
VFALSE
p90163
sbNNNNNNNg8
(g9
g10
NtRp90164
(dp90165
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90166
(dp90167
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90168
(dp90169
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-bg_2013
p90170
sbNNtp90171
a(g8
(g9
g10
NtRp90172
(dp90173
g13
Nsg14
Nsg15
V59ed0aa1-a464-446b-a960-36df73e2a803f
p90174
sbNg8
(g9
g10
NtRp90175
(dp90176
g13
Nsg14
Nsg15
VEEA reference grid for Austria (100km), May 2013
p90177
sbNNNNNg8
(g9
g10
NtRp90178
(dp90179
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90180
sbNNg8
(g9
g10
NtRp90181
(dp90182
g13
Nsg14
Nsg15
VFALSE
p90183
sbNNNg8
(g9
g10
NtRp90184
(dp90185
g13
Nsg14
Nsg15
VFALSE
p90186
sbNNg8
(g9
g10
NtRp90187
(dp90188
g13
Nsg14
Nsg15
VFALSE
p90189
sbNNg8
(g9
g10
NtRp90190
(dp90191
g13
Nsg14
Nsg15
VFALSE
p90192
sbNg8
(g9
g10
NtRp90193
(dp90194
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/59ed0aa1-a464-446b-a960-36df73e2a803f.png
p90195
sbg8
(g9
g10
NtRp90196
(dp90197
g13
Nsg14
Nsg15
VEPSG:3035
p90198
sbg8
(g9
g10
NtRp90199
(dp90200
g13
Nsg14
Nsg15
V2019-06-21
p90201
sbNg8
(g9
g10
NtRp90202
(dp90203
g13
Nsg14
Nsg15
VGeographical grid systems
p90204
sbg8
(g9
g10
NtRp90205
(dp90206
g13
Nsg14
Nsg15
Vgridding
p90207
sbg8
(g9
g10
NtRp90208
(dp90209
g13
Nsg14
Nsg15
Vvector
p90210
sbg8
(g9
g10
NtRp90211
(dp90212
g13
Nsg14
Nsg15
VSHP
p90213
sbNg8
(g9
g10
NtRp90214
(dp90215
g13
Nsg14
Nsg15
V100000m
p90216
sbNg8
(g9
g10
NtRp90217
(dp90218
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90219
sbg8
(g9
g10
NtRp90220
(dp90221
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59ed0aa1-a464-446b-a960-36df73e2a803f
p90222
sbg8
(g9
g10
NtRp90223
(dp90224
g13
Nsg14
g74
sg15
V2013
p90225
sbg8
(g9
g10
NtRp90226
(dp90227
g13
Nsg14
g74
sg15
V2013
p90228
sbg8
(g9
g10
NtRp90229
(dp90230
g13
Nsg14
Nsg15
VFALSE
p90231
sbg8
(g9
g10
NtRp90232
(dp90233
g13
Nsg14
Nsg15
VAustria
p90234
sbg8
(g9
g10
NtRp90235
(dp90236
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90237
sbg8
(g9
g10
NtRp90238
(dp90239
g13
Nsg14
Nsg15
VFALSE
p90240
sbg8
(g9
g10
NtRp90241
(dp90242
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90243
sbg8
(g9
g10
NtRp90244
(dp90245
g13
Nsg14
Nsg15
VFALSE
p90246
sbNNNNNNNg8
(g9
g10
NtRp90247
(dp90248
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90249
(dp90250
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90251
(dp90252
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-at_2013
p90253
sbNNtp90254
a(g8
(g9
g10
NtRp90255
(dp90256
g13
Nsg14
Nsg15
V48251637-b2f3-41af-8a9e-c11fe61490c8f
p90257
sbNg8
(g9
g10
NtRp90258
(dp90259
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (10km), May 2013
p90260
sbNNNNNg8
(g9
g10
NtRp90261
(dp90262
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90263
sbNNg8
(g9
g10
NtRp90264
(dp90265
g13
Nsg14
Nsg15
VFALSE
p90266
sbNNNg8
(g9
g10
NtRp90267
(dp90268
g13
Nsg14
Nsg15
VFALSE
p90269
sbNNg8
(g9
g10
NtRp90270
(dp90271
g13
Nsg14
Nsg15
VFALSE
p90272
sbNNg8
(g9
g10
NtRp90273
(dp90274
g13
Nsg14
Nsg15
VFALSE
p90275
sbNg8
(g9
g10
NtRp90276
(dp90277
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48251637-b2f3-41af-8a9e-c11fe61490c8f.png
p90278
sbg8
(g9
g10
NtRp90279
(dp90280
g13
Nsg14
Nsg15
VEPSG:3035
p90281
sbg8
(g9
g10
NtRp90282
(dp90283
g13
Nsg14
Nsg15
V2019-07-01
p90284
sbNg8
(g9
g10
NtRp90285
(dp90286
g13
Nsg14
Nsg15
VGeographical grid systems
p90287
sbg8
(g9
g10
NtRp90288
(dp90289
g13
Nsg14
Nsg15
Vgridding
p90290
sbg8
(g9
g10
NtRp90291
(dp90292
g13
Nsg14
Nsg15
Vvector
p90293
sbg8
(g9
g10
NtRp90294
(dp90295
g13
Nsg14
Nsg15
VSHP
p90296
sbNg8
(g9
g10
NtRp90297
(dp90298
g13
Nsg14
Nsg15
V10000m
p90299
sbNg8
(g9
g10
NtRp90300
(dp90301
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90302
sbg8
(g9
g10
NtRp90303
(dp90304
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48251637-b2f3-41af-8a9e-c11fe61490c8f
p90305
sbg8
(g9
g10
NtRp90306
(dp90307
g13
Nsg14
g74
sg15
V2013
p90308
sbg8
(g9
g10
NtRp90309
(dp90310
g13
Nsg14
g74
sg15
V2013
p90311
sbg8
(g9
g10
NtRp90312
(dp90313
g13
Nsg14
Nsg15
VFALSE
p90314
sbg8
(g9
g10
NtRp90315
(dp90316
g13
Nsg14
Nsg15
VLatvia
p90317
sbg8
(g9
g10
NtRp90318
(dp90319
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90320
sbg8
(g9
g10
NtRp90321
(dp90322
g13
Nsg14
Nsg15
VFALSE
p90323
sbg8
(g9
g10
NtRp90324
(dp90325
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90326
sbg8
(g9
g10
NtRp90327
(dp90328
g13
Nsg14
Nsg15
VFALSE
p90329
sbNNNNNNNg8
(g9
g10
NtRp90330
(dp90331
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90332
(dp90333
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90334
(dp90335
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lv_2013
p90336
sbNNtp90337
a(g8
(g9
g10
NtRp90338
(dp90339
g13
Nsg14
Nsg15
V50a2e429-75da-4209-9f8a-c828a4ac2d4cf
p90340
sbNg8
(g9
g10
NtRp90341
(dp90342
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (100km), May 2013
p90343
sbNNNNNg8
(g9
g10
NtRp90344
(dp90345
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90346
sbNNg8
(g9
g10
NtRp90347
(dp90348
g13
Nsg14
Nsg15
VFALSE
p90349
sbNNNg8
(g9
g10
NtRp90350
(dp90351
g13
Nsg14
Nsg15
VFALSE
p90352
sbNNg8
(g9
g10
NtRp90353
(dp90354
g13
Nsg14
Nsg15
VFALSE
p90355
sbNNg8
(g9
g10
NtRp90356
(dp90357
g13
Nsg14
Nsg15
VFALSE
p90358
sbNg8
(g9
g10
NtRp90359
(dp90360
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/50a2e429-75da-4209-9f8a-c828a4ac2d4cf.png
p90361
sbg8
(g9
g10
NtRp90362
(dp90363
g13
Nsg14
Nsg15
VEPSG:3035
p90364
sbg8
(g9
g10
NtRp90365
(dp90366
g13
Nsg14
Nsg15
V2019-07-01
p90367
sbNg8
(g9
g10
NtRp90368
(dp90369
g13
Nsg14
Nsg15
VGeographical grid systems
p90370
sbg8
(g9
g10
NtRp90371
(dp90372
g13
Nsg14
Nsg15
Vgridding
p90373
sbg8
(g9
g10
NtRp90374
(dp90375
g13
Nsg14
Nsg15
Vvector
p90376
sbg8
(g9
g10
NtRp90377
(dp90378
g13
Nsg14
Nsg15
VSHP
p90379
sbNg8
(g9
g10
NtRp90380
(dp90381
g13
Nsg14
Nsg15
V100000m
p90382
sbNg8
(g9
g10
NtRp90383
(dp90384
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90385
sbg8
(g9
g10
NtRp90386
(dp90387
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50a2e429-75da-4209-9f8a-c828a4ac2d4cf
p90388
sbg8
(g9
g10
NtRp90389
(dp90390
g13
Nsg14
g74
sg15
V2013
p90391
sbg8
(g9
g10
NtRp90392
(dp90393
g13
Nsg14
g74
sg15
V2013
p90394
sbg8
(g9
g10
NtRp90395
(dp90396
g13
Nsg14
Nsg15
VFALSE
p90397
sbg8
(g9
g10
NtRp90398
(dp90399
g13
Nsg14
Nsg15
VIceland
p90400
sbg8
(g9
g10
NtRp90401
(dp90402
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90403
sbg8
(g9
g10
NtRp90404
(dp90405
g13
Nsg14
Nsg15
VFALSE
p90406
sbg8
(g9
g10
NtRp90407
(dp90408
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90409
sbg8
(g9
g10
NtRp90410
(dp90411
g13
Nsg14
Nsg15
VFALSE
p90412
sbNNNNNNNg8
(g9
g10
NtRp90413
(dp90414
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90415
(dp90416
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90417
(dp90418
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-is_2013
p90419
sbNNtp90420
a(g8
(g9
g10
NtRp90421
(dp90422
g13
Nsg14
Nsg15
V34b3126f-0884-4741-aecd-01b2da851793f
p90423
sbNg8
(g9
g10
NtRp90424
(dp90425
g13
Nsg14
Nsg15
VEEA reference grid for Norway (1km), May 2013
p90426
sbNNNNNg8
(g9
g10
NtRp90427
(dp90428
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90429
sbNNg8
(g9
g10
NtRp90430
(dp90431
g13
Nsg14
Nsg15
VFALSE
p90432
sbNNNg8
(g9
g10
NtRp90433
(dp90434
g13
Nsg14
Nsg15
VFALSE
p90435
sbNNg8
(g9
g10
NtRp90436
(dp90437
g13
Nsg14
Nsg15
VFALSE
p90438
sbNNg8
(g9
g10
NtRp90439
(dp90440
g13
Nsg14
Nsg15
VFALSE
p90441
sbNg8
(g9
g10
NtRp90442
(dp90443
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/34b3126f-0884-4741-aecd-01b2da851793f.png
p90444
sbg8
(g9
g10
NtRp90445
(dp90446
g13
Nsg14
Nsg15
VEPSG:3035
p90447
sbg8
(g9
g10
NtRp90448
(dp90449
g13
Nsg14
Nsg15
V2019-07-02
p90450
sbNg8
(g9
g10
NtRp90451
(dp90452
g13
Nsg14
Nsg15
VGeographical grid systems
p90453
sbg8
(g9
g10
NtRp90454
(dp90455
g13
Nsg14
Nsg15
Vgridding
p90456
sbg8
(g9
g10
NtRp90457
(dp90458
g13
Nsg14
Nsg15
Vvector
p90459
sbg8
(g9
g10
NtRp90460
(dp90461
g13
Nsg14
Nsg15
VSHP
p90462
sbNg8
(g9
g10
NtRp90463
(dp90464
g13
Nsg14
Nsg15
V1000m
p90465
sbNg8
(g9
g10
NtRp90466
(dp90467
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90468
sbg8
(g9
g10
NtRp90469
(dp90470
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34b3126f-0884-4741-aecd-01b2da851793f
p90471
sbg8
(g9
g10
NtRp90472
(dp90473
g13
Nsg14
g74
sg15
V2013
p90474
sbg8
(g9
g10
NtRp90475
(dp90476
g13
Nsg14
g74
sg15
V2013
p90477
sbg8
(g9
g10
NtRp90478
(dp90479
g13
Nsg14
Nsg15
VFALSE
p90480
sbg8
(g9
g10
NtRp90481
(dp90482
g13
Nsg14
Nsg15
VNorway
p90483
sbg8
(g9
g10
NtRp90484
(dp90485
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90486
sbg8
(g9
g10
NtRp90487
(dp90488
g13
Nsg14
Nsg15
VFALSE
p90489
sbg8
(g9
g10
NtRp90490
(dp90491
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90492
sbg8
(g9
g10
NtRp90493
(dp90494
g13
Nsg14
Nsg15
VFALSE
p90495
sbNNNNNNNg8
(g9
g10
NtRp90496
(dp90497
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90498
(dp90499
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90500
(dp90501
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-no_2013
p90502
sbNNtp90503
a(g8
(g9
g10
NtRp90504
(dp90505
g13
Nsg14
Nsg15
V844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f
p90506
sbNg8
(g9
g10
NtRp90507
(dp90508
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (100km), May 2013
p90509
sbNNNNNg8
(g9
g10
NtRp90510
(dp90511
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90512
sbNNg8
(g9
g10
NtRp90513
(dp90514
g13
Nsg14
Nsg15
VFALSE
p90515
sbNNNg8
(g9
g10
NtRp90516
(dp90517
g13
Nsg14
Nsg15
VFALSE
p90518
sbNNg8
(g9
g10
NtRp90519
(dp90520
g13
Nsg14
Nsg15
VFALSE
p90521
sbNNg8
(g9
g10
NtRp90522
(dp90523
g13
Nsg14
Nsg15
VFALSE
p90524
sbNg8
(g9
g10
NtRp90525
(dp90526
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f.png
p90527
sbg8
(g9
g10
NtRp90528
(dp90529
g13
Nsg14
Nsg15
VEPSG:3035
p90530
sbg8
(g9
g10
NtRp90531
(dp90532
g13
Nsg14
Nsg15
V2019-07-02
p90533
sbNg8
(g9
g10
NtRp90534
(dp90535
g13
Nsg14
Nsg15
VGeographical grid systems
p90536
sbg8
(g9
g10
NtRp90537
(dp90538
g13
Nsg14
Nsg15
Vgridding
p90539
sbg8
(g9
g10
NtRp90540
(dp90541
g13
Nsg14
Nsg15
Vvector
p90542
sbg8
(g9
g10
NtRp90543
(dp90544
g13
Nsg14
Nsg15
VSHP
p90545
sbNg8
(g9
g10
NtRp90546
(dp90547
g13
Nsg14
Nsg15
V100000m
p90548
sbNg8
(g9
g10
NtRp90549
(dp90550
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90551
sbg8
(g9
g10
NtRp90552
(dp90553
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f
p90554
sbg8
(g9
g10
NtRp90555
(dp90556
g13
Nsg14
g74
sg15
V2013
p90557
sbg8
(g9
g10
NtRp90558
(dp90559
g13
Nsg14
g74
sg15
V2013
p90560
sbg8
(g9
g10
NtRp90561
(dp90562
g13
Nsg14
Nsg15
VFALSE
p90563
sbg8
(g9
g10
NtRp90564
(dp90565
g13
Nsg14
Nsg15
VNorth Macedonia
p90566
sbg8
(g9
g10
NtRp90567
(dp90568
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90569
sbg8
(g9
g10
NtRp90570
(dp90571
g13
Nsg14
Nsg15
VFALSE
p90572
sbg8
(g9
g10
NtRp90573
(dp90574
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90575
sbg8
(g9
g10
NtRp90576
(dp90577
g13
Nsg14
Nsg15
VFALSE
p90578
sbNNNNNNNg8
(g9
g10
NtRp90579
(dp90580
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90581
(dp90582
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90583
(dp90584
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-mk_2013
p90585
sbNNtp90586
a(g8
(g9
g10
NtRp90587
(dp90588
g13
Nsg14
Nsg15
V744589ba-7a58-4d6f-a990-5058f467a2b6f
p90589
sbNg8
(g9
g10
NtRp90590
(dp90591
g13
Nsg14
Nsg15
VEEA reference grid for Liechtenstein (10km), May 2013
p90592
sbNNNNNg8
(g9
g10
NtRp90593
(dp90594
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90595
sbNNg8
(g9
g10
NtRp90596
(dp90597
g13
Nsg14
Nsg15
VFALSE
p90598
sbNNNg8
(g9
g10
NtRp90599
(dp90600
g13
Nsg14
Nsg15
VFALSE
p90601
sbNNg8
(g9
g10
NtRp90602
(dp90603
g13
Nsg14
Nsg15
VFALSE
p90604
sbNNg8
(g9
g10
NtRp90605
(dp90606
g13
Nsg14
Nsg15
VFALSE
p90607
sbNg8
(g9
g10
NtRp90608
(dp90609
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/744589ba-7a58-4d6f-a990-5058f467a2b6f.png
p90610
sbg8
(g9
g10
NtRp90611
(dp90612
g13
Nsg14
Nsg15
VEPSG:3035
p90613
sbg8
(g9
g10
NtRp90614
(dp90615
g13
Nsg14
Nsg15
V2019-07-01
p90616
sbNg8
(g9
g10
NtRp90617
(dp90618
g13
Nsg14
Nsg15
VGeographical grid systems
p90619
sbg8
(g9
g10
NtRp90620
(dp90621
g13
Nsg14
Nsg15
Vgridding
p90622
sbg8
(g9
g10
NtRp90623
(dp90624
g13
Nsg14
Nsg15
Vvector
p90625
sbg8
(g9
g10
NtRp90626
(dp90627
g13
Nsg14
Nsg15
VSHP
p90628
sbNg8
(g9
g10
NtRp90629
(dp90630
g13
Nsg14
Nsg15
V10000m
p90631
sbNg8
(g9
g10
NtRp90632
(dp90633
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90634
sbg8
(g9
g10
NtRp90635
(dp90636
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744589ba-7a58-4d6f-a990-5058f467a2b6f
p90637
sbg8
(g9
g10
NtRp90638
(dp90639
g13
Nsg14
g74
sg15
V2013
p90640
sbg8
(g9
g10
NtRp90641
(dp90642
g13
Nsg14
g74
sg15
V2013
p90643
sbg8
(g9
g10
NtRp90644
(dp90645
g13
Nsg14
Nsg15
VFALSE
p90646
sbg8
(g9
g10
NtRp90647
(dp90648
g13
Nsg14
Nsg15
VLiechtenstein
p90649
sbg8
(g9
g10
NtRp90650
(dp90651
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90652
sbg8
(g9
g10
NtRp90653
(dp90654
g13
Nsg14
Nsg15
VFALSE
p90655
sbg8
(g9
g10
NtRp90656
(dp90657
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90658
sbg8
(g9
g10
NtRp90659
(dp90660
g13
Nsg14
Nsg15
VFALSE
p90661
sbNNNNNNNg8
(g9
g10
NtRp90662
(dp90663
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90664
(dp90665
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90666
(dp90667
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-li_2013
p90668
sbNNtp90669
a(g8
(g9
g10
NtRp90670
(dp90671
g13
Nsg14
Nsg15
V53ca956f-fefa-4c60-807c-8b6c6d4e5a0df
p90672
sbNg8
(g9
g10
NtRp90673
(dp90674
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (10km), May 2013
p90675
sbNNNNNg8
(g9
g10
NtRp90676
(dp90677
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90678
sbNNg8
(g9
g10
NtRp90679
(dp90680
g13
Nsg14
Nsg15
VFALSE
p90681
sbNNNg8
(g9
g10
NtRp90682
(dp90683
g13
Nsg14
Nsg15
VFALSE
p90684
sbNNg8
(g9
g10
NtRp90685
(dp90686
g13
Nsg14
Nsg15
VFALSE
p90687
sbNNg8
(g9
g10
NtRp90688
(dp90689
g13
Nsg14
Nsg15
VFALSE
p90690
sbNg8
(g9
g10
NtRp90691
(dp90692
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/53ca956f-fefa-4c60-807c-8b6c6d4e5a0df.png
p90693
sbg8
(g9
g10
NtRp90694
(dp90695
g13
Nsg14
Nsg15
VEPSG:3035
p90696
sbg8
(g9
g10
NtRp90697
(dp90698
g13
Nsg14
Nsg15
V2019-06-21
p90699
sbNg8
(g9
g10
NtRp90700
(dp90701
g13
Nsg14
Nsg15
VGeographical grid systems
p90702
sbg8
(g9
g10
NtRp90703
(dp90704
g13
Nsg14
Nsg15
Vgridding
p90705
sbg8
(g9
g10
NtRp90706
(dp90707
g13
Nsg14
Nsg15
Vvector
p90708
sbg8
(g9
g10
NtRp90709
(dp90710
g13
Nsg14
Nsg15
VSHP
p90711
sbNg8
(g9
g10
NtRp90712
(dp90713
g13
Nsg14
Nsg15
V10000m
p90714
sbNg8
(g9
g10
NtRp90715
(dp90716
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90717
sbg8
(g9
g10
NtRp90718
(dp90719
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53ca956f-fefa-4c60-807c-8b6c6d4e5a0df
p90720
sbg8
(g9
g10
NtRp90721
(dp90722
g13
Nsg14
g74
sg15
V2013
p90723
sbg8
(g9
g10
NtRp90724
(dp90725
g13
Nsg14
g74
sg15
V2013
p90726
sbg8
(g9
g10
NtRp90727
(dp90728
g13
Nsg14
Nsg15
VFALSE
p90729
sbg8
(g9
g10
NtRp90730
(dp90731
g13
Nsg14
Nsg15
VCzechia
p90732
sbg8
(g9
g10
NtRp90733
(dp90734
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90735
sbg8
(g9
g10
NtRp90736
(dp90737
g13
Nsg14
Nsg15
VFALSE
p90738
sbg8
(g9
g10
NtRp90739
(dp90740
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90741
sbg8
(g9
g10
NtRp90742
(dp90743
g13
Nsg14
Nsg15
VFALSE
p90744
sbNNNNNNNg8
(g9
g10
NtRp90745
(dp90746
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90747
(dp90748
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90749
(dp90750
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-cz_2013
p90751
sbNNtp90752
a(g8
(g9
g10
NtRp90753
(dp90754
g13
Nsg14
Nsg15
V94b66808-26c4-44fa-8f16-caaf8be09b67f
p90755
sbNg8
(g9
g10
NtRp90756
(dp90757
g13
Nsg14
Nsg15
VEEA reference grid for North Macedonia (1km), May 2013
p90758
sbNNNNNg8
(g9
g10
NtRp90759
(dp90760
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90761
sbNNg8
(g9
g10
NtRp90762
(dp90763
g13
Nsg14
Nsg15
VFALSE
p90764
sbNNNg8
(g9
g10
NtRp90765
(dp90766
g13
Nsg14
Nsg15
VFALSE
p90767
sbNNg8
(g9
g10
NtRp90768
(dp90769
g13
Nsg14
Nsg15
VFALSE
p90770
sbNNg8
(g9
g10
NtRp90771
(dp90772
g13
Nsg14
Nsg15
VFALSE
p90773
sbNg8
(g9
g10
NtRp90774
(dp90775
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/94b66808-26c4-44fa-8f16-caaf8be09b67f.png
p90776
sbg8
(g9
g10
NtRp90777
(dp90778
g13
Nsg14
Nsg15
VEPSG:3035
p90779
sbg8
(g9
g10
NtRp90780
(dp90781
g13
Nsg14
Nsg15
V2019-07-02
p90782
sbNg8
(g9
g10
NtRp90783
(dp90784
g13
Nsg14
Nsg15
VGeographical grid systems
p90785
sbg8
(g9
g10
NtRp90786
(dp90787
g13
Nsg14
Nsg15
Vgridding
p90788
sbg8
(g9
g10
NtRp90789
(dp90790
g13
Nsg14
Nsg15
Vvector
p90791
sbg8
(g9
g10
NtRp90792
(dp90793
g13
Nsg14
Nsg15
VSHP
p90794
sbNg8
(g9
g10
NtRp90795
(dp90796
g13
Nsg14
Nsg15
V1000m
p90797
sbNg8
(g9
g10
NtRp90798
(dp90799
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90800
sbg8
(g9
g10
NtRp90801
(dp90802
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94b66808-26c4-44fa-8f16-caaf8be09b67f
p90803
sbg8
(g9
g10
NtRp90804
(dp90805
g13
Nsg14
g74
sg15
V2013
p90806
sbg8
(g9
g10
NtRp90807
(dp90808
g13
Nsg14
g74
sg15
V2013
p90809
sbg8
(g9
g10
NtRp90810
(dp90811
g13
Nsg14
Nsg15
VFALSE
p90812
sbg8
(g9
g10
NtRp90813
(dp90814
g13
Nsg14
Nsg15
VNorth Macedonia
p90815
sbg8
(g9
g10
NtRp90816
(dp90817
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90818
sbg8
(g9
g10
NtRp90819
(dp90820
g13
Nsg14
Nsg15
VFALSE
p90821
sbg8
(g9
g10
NtRp90822
(dp90823
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90824
sbg8
(g9
g10
NtRp90825
(dp90826
g13
Nsg14
Nsg15
VFALSE
p90827
sbNNNNNNNg8
(g9
g10
NtRp90828
(dp90829
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90830
(dp90831
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90832
(dp90833
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-mk_2013
p90834
sbNNtp90835
a(g8
(g9
g10
NtRp90836
(dp90837
g13
Nsg14
Nsg15
V20e9e1a1-83c1-4f13-89ef-c19767d6ee18f
p90838
sbNg8
(g9
g10
NtRp90839
(dp90840
g13
Nsg14
Nsg15
VEEA reference grid for Germany (10km), May 2013
p90841
sbNNNNNg8
(g9
g10
NtRp90842
(dp90843
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p90844
sbNNg8
(g9
g10
NtRp90845
(dp90846
g13
Nsg14
Nsg15
VFALSE
p90847
sbNNNg8
(g9
g10
NtRp90848
(dp90849
g13
Nsg14
Nsg15
VFALSE
p90850
sbNNg8
(g9
g10
NtRp90851
(dp90852
g13
Nsg14
Nsg15
VFALSE
p90853
sbNNg8
(g9
g10
NtRp90854
(dp90855
g13
Nsg14
Nsg15
VFALSE
p90856
sbNg8
(g9
g10
NtRp90857
(dp90858
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20e9e1a1-83c1-4f13-89ef-c19767d6ee18f.png
p90859
sbg8
(g9
g10
NtRp90860
(dp90861
g13
Nsg14
Nsg15
VEPSG:3035
p90862
sbg8
(g9
g10
NtRp90863
(dp90864
g13
Nsg14
Nsg15
V2019-06-27
p90865
sbNg8
(g9
g10
NtRp90866
(dp90867
g13
Nsg14
Nsg15
VGeographical grid systems
p90868
sbg8
(g9
g10
NtRp90869
(dp90870
g13
Nsg14
Nsg15
Vgridding
p90871
sbg8
(g9
g10
NtRp90872
(dp90873
g13
Nsg14
Nsg15
Vvector
p90874
sbg8
(g9
g10
NtRp90875
(dp90876
g13
Nsg14
Nsg15
VSHP
p90877
sbNg8
(g9
g10
NtRp90878
(dp90879
g13
Nsg14
Nsg15
V10000m
p90880
sbNg8
(g9
g10
NtRp90881
(dp90882
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p90883
sbg8
(g9
g10
NtRp90884
(dp90885
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20e9e1a1-83c1-4f13-89ef-c19767d6ee18f
p90886
sbg8
(g9
g10
NtRp90887
(dp90888
g13
Nsg14
g74
sg15
V2013
p90889
sbg8
(g9
g10
NtRp90890
(dp90891
g13
Nsg14
g74
sg15
V2013
p90892
sbg8
(g9
g10
NtRp90893
(dp90894
g13
Nsg14
Nsg15
VFALSE
p90895
sbg8
(g9
g10
NtRp90896
(dp90897
g13
Nsg14
Nsg15
VGermany
p90898
sbg8
(g9
g10
NtRp90899
(dp90900
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90901
sbg8
(g9
g10
NtRp90902
(dp90903
g13
Nsg14
Nsg15
VFALSE
p90904
sbg8
(g9
g10
NtRp90905
(dp90906
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90907
sbg8
(g9
g10
NtRp90908
(dp90909
g13
Nsg14
Nsg15
VFALSE
p90910
sbNNNNNNNg8
(g9
g10
NtRp90911
(dp90912
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90913
(dp90914
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90915
(dp90916
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-de_2013
p90917
sbNNtp90918
a(g8
(g9
g10
NtRp90919
(dp90920
g13
Nsg14
Nsg15
Vc56f5e2b-6e7f-4da7-a5b3-25a8c17ca717
p90921
sbNg8
(g9
g10
NtRp90922
(dp90923
g13
Nsg14
Nsg15
VEEA reference grid for Europe (5km), Mar. 2013
p90924
sbNNNNNg8
(g9
g10
NtRp90925
(dp90926
g13
Nsg14
Nsg15
VThis grid is compatible with Inspire compliant grids as defined in the document "D2.8.I.2 INSPIRE Specification on Geographical Grid Systems \u2013 Guidelines".
p90927
sbNNg8
(g9
g10
NtRp90928
(dp90929
g13
Nsg14
Nsg15
VFALSE
p90930
sbNNNg8
(g9
g10
NtRp90931
(dp90932
g13
Nsg14
Nsg15
VFALSE
p90933
sbNNg8
(g9
g10
NtRp90934
(dp90935
g13
Nsg14
Nsg15
VFALSE
p90936
sbNNg8
(g9
g10
NtRp90937
(dp90938
g13
Nsg14
Nsg15
VFALSE
p90939
sbNg8
(g9
g10
NtRp90940
(dp90941
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c56f5e2b-6e7f-4da7-a5b3-25a8c17ca717.png
p90942
sbg8
(g9
g10
NtRp90943
(dp90944
g13
Nsg14
Nsg15
VEPSG:3035
p90945
sbg8
(g9
g10
NtRp90946
(dp90947
g13
Nsg14
Nsg15
V2019-06-26
p90948
sbNg8
(g9
g10
NtRp90949
(dp90950
g13
Nsg14
Nsg15
VGeographical grid systems
p90951
sbg8
(g9
g10
NtRp90952
(dp90953
g13
Nsg14
Nsg15
Vgridding
p90954
sbg8
(g9
g10
NtRp90955
(dp90956
g13
Nsg14
Nsg15
Vvector
p90957
sbg8
(g9
g10
NtRp90958
(dp90959
g13
Nsg14
Nsg15
VSHP
p90960
sbNg8
(g9
g10
NtRp90961
(dp90962
g13
Nsg14
Nsg15
V5000m
p90963
sbNg8
(g9
g10
NtRp90964
(dp90965
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p90966
sbg8
(g9
g10
NtRp90967
(dp90968
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c56f5e2b-6e7f-4da7-a5b3-25a8c17ca717
p90969
sbg8
(g9
g10
NtRp90970
(dp90971
g13
Nsg14
g74
sg15
V2013
p90972
sbg8
(g9
g10
NtRp90973
(dp90974
g13
Nsg14
g74
sg15
V2013
p90975
sbg8
(g9
g10
NtRp90976
(dp90977
g13
Nsg14
Nsg15
VFALSE
p90978
sbg8
(g9
g10
NtRp90979
(dp90980
g13
Nsg14
Nsg15
VEurope
p90981
sbg8
(g9
g10
NtRp90982
(dp90983
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p90984
sbg8
(g9
g10
NtRp90985
(dp90986
g13
Nsg14
Nsg15
VFALSE
p90987
sbg8
(g9
g10
NtRp90988
(dp90989
g13
Nsg14
Nsg15
VEuropean Environment Agency
p90990
sbg8
(g9
g10
NtRp90991
(dp90992
g13
Nsg14
Nsg15
VFALSE
p90993
sbNNNNNNNg8
(g9
g10
NtRp90994
(dp90995
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp90996
(dp90997
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp90998
(dp90999
g13
Nsg14
Nsg15
Veea_v_3035_5_km_eea-ref-grid-europe_2013
p91000
sbNNtp91001
a(g8
(g9
g10
NtRp91002
(dp91003
g13
Nsg14
Nsg15
V644006e6-c6e0-4b5d-af44-f98d6c546c1bf
p91004
sbNg8
(g9
g10
NtRp91005
(dp91006
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (10km), May 2013
p91007
sbNNNNNg8
(g9
g10
NtRp91008
(dp91009
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91010
sbNNg8
(g9
g10
NtRp91011
(dp91012
g13
Nsg14
Nsg15
VFALSE
p91013
sbNNNg8
(g9
g10
NtRp91014
(dp91015
g13
Nsg14
Nsg15
VFALSE
p91016
sbNNg8
(g9
g10
NtRp91017
(dp91018
g13
Nsg14
Nsg15
VFALSE
p91019
sbNNg8
(g9
g10
NtRp91020
(dp91021
g13
Nsg14
Nsg15
VFALSE
p91022
sbNg8
(g9
g10
NtRp91023
(dp91024
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/644006e6-c6e0-4b5d-af44-f98d6c546c1bf.png
p91025
sbg8
(g9
g10
NtRp91026
(dp91027
g13
Nsg14
Nsg15
VEPSG:3035
p91028
sbg8
(g9
g10
NtRp91029
(dp91030
g13
Nsg14
Nsg15
V2019-07-01
p91031
sbNg8
(g9
g10
NtRp91032
(dp91033
g13
Nsg14
Nsg15
VGeographical grid systems
p91034
sbg8
(g9
g10
NtRp91035
(dp91036
g13
Nsg14
Nsg15
Vgridding
p91037
sbg8
(g9
g10
NtRp91038
(dp91039
g13
Nsg14
Nsg15
Vvector
p91040
sbg8
(g9
g10
NtRp91041
(dp91042
g13
Nsg14
Nsg15
VSHP
p91043
sbNg8
(g9
g10
NtRp91044
(dp91045
g13
Nsg14
Nsg15
V10000m
p91046
sbNg8
(g9
g10
NtRp91047
(dp91048
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91049
sbg8
(g9
g10
NtRp91050
(dp91051
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/644006e6-c6e0-4b5d-af44-f98d6c546c1bf
p91052
sbg8
(g9
g10
NtRp91053
(dp91054
g13
Nsg14
g74
sg15
V2013
p91055
sbg8
(g9
g10
NtRp91056
(dp91057
g13
Nsg14
g74
sg15
V2013
p91058
sbg8
(g9
g10
NtRp91059
(dp91060
g13
Nsg14
Nsg15
VFALSE
p91061
sbg8
(g9
g10
NtRp91062
(dp91063
g13
Nsg14
Nsg15
VLithuania
p91064
sbg8
(g9
g10
NtRp91065
(dp91066
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91067
sbg8
(g9
g10
NtRp91068
(dp91069
g13
Nsg14
Nsg15
VFALSE
p91070
sbg8
(g9
g10
NtRp91071
(dp91072
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91073
sbg8
(g9
g10
NtRp91074
(dp91075
g13
Nsg14
Nsg15
VFALSE
p91076
sbNNNNNNNg8
(g9
g10
NtRp91077
(dp91078
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91079
(dp91080
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91081
(dp91082
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lt_2013
p91083
sbNNtp91084
a(g8
(g9
g10
NtRp91085
(dp91086
g13
Nsg14
Nsg15
V704d50fc-87ba-45b0-acca-5959f28fc010f
p91087
sbNg8
(g9
g10
NtRp91088
(dp91089
g13
Nsg14
Nsg15
VEEA reference grid for Belgium (1km), May 2013
p91090
sbNNNNNg8
(g9
g10
NtRp91091
(dp91092
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91093
sbNNg8
(g9
g10
NtRp91094
(dp91095
g13
Nsg14
Nsg15
VFALSE
p91096
sbNNNg8
(g9
g10
NtRp91097
(dp91098
g13
Nsg14
Nsg15
VFALSE
p91099
sbNNg8
(g9
g10
NtRp91100
(dp91101
g13
Nsg14
Nsg15
VFALSE
p91102
sbNNg8
(g9
g10
NtRp91103
(dp91104
g13
Nsg14
Nsg15
VFALSE
p91105
sbNg8
(g9
g10
NtRp91106
(dp91107
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/704d50fc-87ba-45b0-acca-5959f28fc010f.png
p91108
sbg8
(g9
g10
NtRp91109
(dp91110
g13
Nsg14
Nsg15
VEPSG:3035
p91111
sbg8
(g9
g10
NtRp91112
(dp91113
g13
Nsg14
Nsg15
V2019-06-21
p91114
sbNg8
(g9
g10
NtRp91115
(dp91116
g13
Nsg14
Nsg15
VGeographical grid systems
p91117
sbg8
(g9
g10
NtRp91118
(dp91119
g13
Nsg14
Nsg15
Vgridding
p91120
sbg8
(g9
g10
NtRp91121
(dp91122
g13
Nsg14
Nsg15
Vvector
p91123
sbg8
(g9
g10
NtRp91124
(dp91125
g13
Nsg14
Nsg15
VSHP
p91126
sbNg8
(g9
g10
NtRp91127
(dp91128
g13
Nsg14
Nsg15
V1000m
p91129
sbNg8
(g9
g10
NtRp91130
(dp91131
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91132
sbg8
(g9
g10
NtRp91133
(dp91134
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/704d50fc-87ba-45b0-acca-5959f28fc010f
p91135
sbg8
(g9
g10
NtRp91136
(dp91137
g13
Nsg14
g74
sg15
V2013
p91138
sbg8
(g9
g10
NtRp91139
(dp91140
g13
Nsg14
g74
sg15
V2013
p91141
sbg8
(g9
g10
NtRp91142
(dp91143
g13
Nsg14
Nsg15
VFALSE
p91144
sbg8
(g9
g10
NtRp91145
(dp91146
g13
Nsg14
Nsg15
VBelgium
p91147
sbg8
(g9
g10
NtRp91148
(dp91149
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91150
sbg8
(g9
g10
NtRp91151
(dp91152
g13
Nsg14
Nsg15
VFALSE
p91153
sbg8
(g9
g10
NtRp91154
(dp91155
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91156
sbg8
(g9
g10
NtRp91157
(dp91158
g13
Nsg14
Nsg15
VFALSE
p91159
sbNNNNNNNg8
(g9
g10
NtRp91160
(dp91161
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91162
(dp91163
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91164
(dp91165
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-be_2013
p91166
sbNNtp91167
a(g8
(g9
g10
NtRp91168
(dp91169
g13
Nsg14
Nsg15
Ve788ae75-deab-43ab-877c-4519695e7daef
p91170
sbNg8
(g9
g10
NtRp91171
(dp91172
g13
Nsg14
Nsg15
VEEA reference grid for Finland (100km), May 2013
p91173
sbNNNNNg8
(g9
g10
NtRp91174
(dp91175
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91176
sbNNg8
(g9
g10
NtRp91177
(dp91178
g13
Nsg14
Nsg15
VFALSE
p91179
sbNNNg8
(g9
g10
NtRp91180
(dp91181
g13
Nsg14
Nsg15
VFALSE
p91182
sbNNg8
(g9
g10
NtRp91183
(dp91184
g13
Nsg14
Nsg15
VFALSE
p91185
sbNNg8
(g9
g10
NtRp91186
(dp91187
g13
Nsg14
Nsg15
VFALSE
p91188
sbNg8
(g9
g10
NtRp91189
(dp91190
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e788ae75-deab-43ab-877c-4519695e7daef.png
p91191
sbg8
(g9
g10
NtRp91192
(dp91193
g13
Nsg14
Nsg15
VEPSG:3035
p91194
sbg8
(g9
g10
NtRp91195
(dp91196
g13
Nsg14
Nsg15
V2019-06-26
p91197
sbNg8
(g9
g10
NtRp91198
(dp91199
g13
Nsg14
Nsg15
VGeographical grid systems
p91200
sbg8
(g9
g10
NtRp91201
(dp91202
g13
Nsg14
Nsg15
Vgridding
p91203
sbg8
(g9
g10
NtRp91204
(dp91205
g13
Nsg14
Nsg15
Vvector
p91206
sbg8
(g9
g10
NtRp91207
(dp91208
g13
Nsg14
Nsg15
VSHP
p91209
sbNg8
(g9
g10
NtRp91210
(dp91211
g13
Nsg14
Nsg15
V100000m
p91212
sbNg8
(g9
g10
NtRp91213
(dp91214
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91215
sbg8
(g9
g10
NtRp91216
(dp91217
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e788ae75-deab-43ab-877c-4519695e7daef
p91218
sbg8
(g9
g10
NtRp91219
(dp91220
g13
Nsg14
g74
sg15
V2013
p91221
sbg8
(g9
g10
NtRp91222
(dp91223
g13
Nsg14
g74
sg15
V2013
p91224
sbg8
(g9
g10
NtRp91225
(dp91226
g13
Nsg14
Nsg15
VFALSE
p91227
sbg8
(g9
g10
NtRp91228
(dp91229
g13
Nsg14
Nsg15
VFinland
p91230
sbg8
(g9
g10
NtRp91231
(dp91232
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91233
sbg8
(g9
g10
NtRp91234
(dp91235
g13
Nsg14
Nsg15
VFALSE
p91236
sbg8
(g9
g10
NtRp91237
(dp91238
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91239
sbg8
(g9
g10
NtRp91240
(dp91241
g13
Nsg14
Nsg15
VFALSE
p91242
sbNNNNNNNg8
(g9
g10
NtRp91243
(dp91244
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91245
(dp91246
g13
Nsg14
Nsg15
V
sbNNg8
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p91253
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VEEA reference grid for Europe (10km), May 2011
p91256
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VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.
p91259
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p91262
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p91265
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p91268
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p91271
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VEPSG:3035
p91277
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V2019-06-26
p91280
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p91286
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Vvector
p91289
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VSHP
p91292
sbNg8
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V10000m
p91295
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VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p91298
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NtRp91299
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e834751f-19d1-4842-823d-e90e600c5993
p91301
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g74
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V2011
p91304
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V2011
p91307
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p91310
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p91316
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NtRp91317
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Nsg15
VFALSE
p91319
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Nsg14
Nsg15
VEuropean Environment Agency
p91322
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p91325
sbNNNNNNNg8
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Veea_v_3035_10_km_eea-ref-grid-europe_2011
p91332
sbNNtp91333
a(g8
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V647133d3-3e09-4f8a-aa1d-8fe9b6f57993f
p91336
sbNg8
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NtRp91337
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Nsg14
Nsg15
VEEA reference grid for Hungary (10km), May 2013
p91339
sbNNNNNg8
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NtRp91340
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g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91342
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p91345
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p91348
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VFALSE
p91351
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p91354
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/647133d3-3e09-4f8a-aa1d-8fe9b6f57993f.png
p91357
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VEPSG:3035
p91360
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(dp91362
g13
Nsg14
Nsg15
V2019-07-01
p91363
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VGeographical grid systems
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p91369
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p91372
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g13
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Nsg15
VSHP
p91375
sbNg8
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NtRp91376
(dp91377
g13
Nsg14
Nsg15
V10000m
p91378
sbNg8
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VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91381
sbg8
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g10
NtRp91382
(dp91383
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/647133d3-3e09-4f8a-aa1d-8fe9b6f57993f
p91384
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NtRp91385
(dp91386
g13
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g74
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V2013
p91387
sbg8
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NtRp91388
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p91390
sbg8
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NtRp91391
(dp91392
g13
Nsg14
Nsg15
VFALSE
p91393
sbg8
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NtRp91394
(dp91395
g13
Nsg14
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VHungary
p91396
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NtRp91397
(dp91398
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91399
sbg8
(g9
g10
NtRp91400
(dp91401
g13
Nsg14
Nsg15
VFALSE
p91402
sbg8
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NtRp91403
(dp91404
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91405
sbg8
(g9
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NtRp91406
(dp91407
g13
Nsg14
Nsg15
VFALSE
p91408
sbNNNNNNNg8
(g9
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NtRp91409
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g13
Nsg14
Nsg15
V
sbg8
(g9
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NtRp91411
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Nsg15
V
sbNNg8
(g9
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NtRp91413
(dp91414
g13
Nsg14
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Veea_v_3035_10_km_eea-ref-grid-hu_2013
p91415
sbNNtp91416
a(g8
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NtRp91417
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g13
Nsg14
Nsg15
V7db548da-06df-412d-a854-4e7307425233f
p91419
sbNg8
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g10
NtRp91420
(dp91421
g13
Nsg14
Nsg15
VEEA reference grid for Malta (1km), May 2013
p91422
sbNNNNNg8
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g13
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VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91425
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p91428
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p91431
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Nsg15
VFALSE
p91434
sbNNg8
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g13
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Nsg15
VFALSE
p91437
sbNg8
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7db548da-06df-412d-a854-4e7307425233f.png
p91440
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NtRp91441
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VEPSG:3035
p91443
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NtRp91444
(dp91445
g13
Nsg14
Nsg15
V2019-07-01
p91446
sbNg8
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NtRp91447
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g13
Nsg14
Nsg15
VGeographical grid systems
p91449
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p91452
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NtRp91453
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p91455
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NtRp91456
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VSHP
p91458
sbNg8
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NtRp91459
(dp91460
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V1000m
p91461
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VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91464
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7db548da-06df-412d-a854-4e7307425233f
p91467
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g13
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g74
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V2013
p91470
sbg8
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NtRp91471
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g13
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g74
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V2013
p91473
sbg8
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NtRp91474
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g13
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VFALSE
p91476
sbg8
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NtRp91477
(dp91478
g13
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VMalta
p91479
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NtRp91480
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g13
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Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p91482
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g13
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p91485
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VEuropean Environment Agency
p91488
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p91491
sbNNNNNNNg8
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g13
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sbNNg8
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Veea_v_3035_1_km_eea-ref-grid-mt_2013
p91498
sbNNtp91499
a(g8
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g13
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V4c0a1d44-95e7-4bb0-858b-c478d403c9d8f
p91502
sbNg8
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g10
NtRp91503
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g13
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Nsg15
VEEA reference grid for Ireland (1km), May 2013
p91505
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NtRp91506
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g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91508
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p91511
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p91514
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p91517
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p91520
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c0a1d44-95e7-4bb0-858b-c478d403c9d8f.png
p91523
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NtRp91524
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VEPSG:3035
p91526
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g13
Nsg14
Nsg15
V2019-07-01
p91529
sbNg8
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g13
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VGeographical grid systems
p91532
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p91535
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g13
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p91538
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VSHP
p91541
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V1000m
p91544
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VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91547
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c0a1d44-95e7-4bb0-858b-c478d403c9d8f
p91550
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p91553
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p91556
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p91559
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VIreland
p91562
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91565
sbg8
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NtRp91566
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p91568
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VEuropean Environment Agency
p91571
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p91574
sbNNNNNNNg8
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sbg8
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sbNNg8
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Veea_v_3035_1_km_eea-ref-grid-ie_2013
p91581
sbNNtp91582
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Vd825233a-ce68-476e-b0d6-3229b89e40b0f
p91585
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VEEA reference grid for Ireland (10km), May 2013
p91588
sbNNNNNg8
(g9
g10
NtRp91589
(dp91590
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91591
sbNNg8
(g9
g10
NtRp91592
(dp91593
g13
Nsg14
Nsg15
VFALSE
p91594
sbNNNg8
(g9
g10
NtRp91595
(dp91596
g13
Nsg14
Nsg15
VFALSE
p91597
sbNNg8
(g9
g10
NtRp91598
(dp91599
g13
Nsg14
Nsg15
VFALSE
p91600
sbNNg8
(g9
g10
NtRp91601
(dp91602
g13
Nsg14
Nsg15
VFALSE
p91603
sbNg8
(g9
g10
NtRp91604
(dp91605
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d825233a-ce68-476e-b0d6-3229b89e40b0f.png
p91606
sbg8
(g9
g10
NtRp91607
(dp91608
g13
Nsg14
Nsg15
VEPSG:3035
p91609
sbg8
(g9
g10
NtRp91610
(dp91611
g13
Nsg14
Nsg15
V2019-07-01
p91612
sbNg8
(g9
g10
NtRp91613
(dp91614
g13
Nsg14
Nsg15
VGeographical grid systems
p91615
sbg8
(g9
g10
NtRp91616
(dp91617
g13
Nsg14
Nsg15
Vgridding
p91618
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(g9
g10
NtRp91619
(dp91620
g13
Nsg14
Nsg15
Vvector
p91621
sbg8
(g9
g10
NtRp91622
(dp91623
g13
Nsg14
Nsg15
VSHP
p91624
sbNg8
(g9
g10
NtRp91625
(dp91626
g13
Nsg14
Nsg15
V10000m
p91627
sbNg8
(g9
g10
NtRp91628
(dp91629
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91630
sbg8
(g9
g10
NtRp91631
(dp91632
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d825233a-ce68-476e-b0d6-3229b89e40b0f
p91633
sbg8
(g9
g10
NtRp91634
(dp91635
g13
Nsg14
g74
sg15
V2013
p91636
sbg8
(g9
g10
NtRp91637
(dp91638
g13
Nsg14
g74
sg15
V2013
p91639
sbg8
(g9
g10
NtRp91640
(dp91641
g13
Nsg14
Nsg15
VFALSE
p91642
sbg8
(g9
g10
NtRp91643
(dp91644
g13
Nsg14
Nsg15
VIreland
p91645
sbg8
(g9
g10
NtRp91646
(dp91647
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91648
sbg8
(g9
g10
NtRp91649
(dp91650
g13
Nsg14
Nsg15
VFALSE
p91651
sbg8
(g9
g10
NtRp91652
(dp91653
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91654
sbg8
(g9
g10
NtRp91655
(dp91656
g13
Nsg14
Nsg15
VFALSE
p91657
sbNNNNNNNg8
(g9
g10
NtRp91658
(dp91659
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91660
(dp91661
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91662
(dp91663
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ie_2013
p91664
sbNNtp91665
a(g8
(g9
g10
NtRp91666
(dp91667
g13
Nsg14
Nsg15
V343b9fe8-1e6a-410c-99df-2fae56ec47aaf
p91668
sbNg8
(g9
g10
NtRp91669
(dp91670
g13
Nsg14
Nsg15
VEEA reference grid for Poland (10km), May 2013
p91671
sbNNNNNg8
(g9
g10
NtRp91672
(dp91673
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91674
sbNNg8
(g9
g10
NtRp91675
(dp91676
g13
Nsg14
Nsg15
VFALSE
p91677
sbNNNg8
(g9
g10
NtRp91678
(dp91679
g13
Nsg14
Nsg15
VFALSE
p91680
sbNNg8
(g9
g10
NtRp91681
(dp91682
g13
Nsg14
Nsg15
VFALSE
p91683
sbNNg8
(g9
g10
NtRp91684
(dp91685
g13
Nsg14
Nsg15
VFALSE
p91686
sbNg8
(g9
g10
NtRp91687
(dp91688
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/343b9fe8-1e6a-410c-99df-2fae56ec47aaf.png
p91689
sbg8
(g9
g10
NtRp91690
(dp91691
g13
Nsg14
Nsg15
VEPSG:3035
p91692
sbg8
(g9
g10
NtRp91693
(dp91694
g13
Nsg14
Nsg15
V2019-07-02
p91695
sbNg8
(g9
g10
NtRp91696
(dp91697
g13
Nsg14
Nsg15
VGeographical grid systems
p91698
sbg8
(g9
g10
NtRp91699
(dp91700
g13
Nsg14
Nsg15
Vgridding
p91701
sbg8
(g9
g10
NtRp91702
(dp91703
g13
Nsg14
Nsg15
Vvector
p91704
sbg8
(g9
g10
NtRp91705
(dp91706
g13
Nsg14
Nsg15
VSHP
p91707
sbNg8
(g9
g10
NtRp91708
(dp91709
g13
Nsg14
Nsg15
V10000m
p91710
sbNg8
(g9
g10
NtRp91711
(dp91712
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91713
sbg8
(g9
g10
NtRp91714
(dp91715
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/343b9fe8-1e6a-410c-99df-2fae56ec47aaf
p91716
sbg8
(g9
g10
NtRp91717
(dp91718
g13
Nsg14
g74
sg15
V2013
p91719
sbg8
(g9
g10
NtRp91720
(dp91721
g13
Nsg14
g74
sg15
V2013
p91722
sbg8
(g9
g10
NtRp91723
(dp91724
g13
Nsg14
Nsg15
VFALSE
p91725
sbg8
(g9
g10
NtRp91726
(dp91727
g13
Nsg14
Nsg15
VPoland
p91728
sbg8
(g9
g10
NtRp91729
(dp91730
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91731
sbg8
(g9
g10
NtRp91732
(dp91733
g13
Nsg14
Nsg15
VFALSE
p91734
sbg8
(g9
g10
NtRp91735
(dp91736
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91737
sbg8
(g9
g10
NtRp91738
(dp91739
g13
Nsg14
Nsg15
VFALSE
p91740
sbNNNNNNNg8
(g9
g10
NtRp91741
(dp91742
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91743
(dp91744
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91745
(dp91746
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pl_2013
p91747
sbNNtp91748
a(g8
(g9
g10
NtRp91749
(dp91750
g13
Nsg14
Nsg15
V62d67512-b22c-4728-a9ad-1c023cdd1a5af
p91751
sbNg8
(g9
g10
NtRp91752
(dp91753
g13
Nsg14
Nsg15
VEEA reference grid for Spain (1km), May 2013
p91754
sbNNNNNg8
(g9
g10
NtRp91755
(dp91756
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91757
sbNNg8
(g9
g10
NtRp91758
(dp91759
g13
Nsg14
Nsg15
VFALSE
p91760
sbNNNg8
(g9
g10
NtRp91761
(dp91762
g13
Nsg14
Nsg15
VFALSE
p91763
sbNNg8
(g9
g10
NtRp91764
(dp91765
g13
Nsg14
Nsg15
VFALSE
p91766
sbNNg8
(g9
g10
NtRp91767
(dp91768
g13
Nsg14
Nsg15
VFALSE
p91769
sbNg8
(g9
g10
NtRp91770
(dp91771
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/62d67512-b22c-4728-a9ad-1c023cdd1a5af.png
p91772
sbg8
(g9
g10
NtRp91773
(dp91774
g13
Nsg14
Nsg15
VEPSG:3035
p91775
sbg8
(g9
g10
NtRp91776
(dp91777
g13
Nsg14
Nsg15
V2019-07-02
p91778
sbNg8
(g9
g10
NtRp91779
(dp91780
g13
Nsg14
Nsg15
VGeographical grid systems
p91781
sbg8
(g9
g10
NtRp91782
(dp91783
g13
Nsg14
Nsg15
Vgridding
p91784
sbg8
(g9
g10
NtRp91785
(dp91786
g13
Nsg14
Nsg15
Vvector
p91787
sbg8
(g9
g10
NtRp91788
(dp91789
g13
Nsg14
Nsg15
VSHP
p91790
sbNg8
(g9
g10
NtRp91791
(dp91792
g13
Nsg14
Nsg15
V1000m
p91793
sbNg8
(g9
g10
NtRp91794
(dp91795
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91796
sbg8
(g9
g10
NtRp91797
(dp91798
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62d67512-b22c-4728-a9ad-1c023cdd1a5af
p91799
sbg8
(g9
g10
NtRp91800
(dp91801
g13
Nsg14
g74
sg15
V2013
p91802
sbg8
(g9
g10
NtRp91803
(dp91804
g13
Nsg14
g74
sg15
V2013
p91805
sbg8
(g9
g10
NtRp91806
(dp91807
g13
Nsg14
Nsg15
VFALSE
p91808
sbg8
(g9
g10
NtRp91809
(dp91810
g13
Nsg14
Nsg15
VSpain
p91811
sbg8
(g9
g10
NtRp91812
(dp91813
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91814
sbg8
(g9
g10
NtRp91815
(dp91816
g13
Nsg14
Nsg15
VFALSE
p91817
sbg8
(g9
g10
NtRp91818
(dp91819
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91820
sbg8
(g9
g10
NtRp91821
(dp91822
g13
Nsg14
Nsg15
VFALSE
p91823
sbNNNNNNNg8
(g9
g10
NtRp91824
(dp91825
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91826
(dp91827
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91828
(dp91829
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-es_2013
p91830
sbNNtp91831
a(g8
(g9
g10
NtRp91832
(dp91833
g13
Nsg14
Nsg15
V74cc2d96-c822-4e4c-98fb-bb58714f94c8f
p91834
sbNg8
(g9
g10
NtRp91835
(dp91836
g13
Nsg14
Nsg15
VEEA reference grid for Romania (10km), May 2013
p91837
sbNNNNNg8
(g9
g10
NtRp91838
(dp91839
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91840
sbNNg8
(g9
g10
NtRp91841
(dp91842
g13
Nsg14
Nsg15
VFALSE
p91843
sbNNNg8
(g9
g10
NtRp91844
(dp91845
g13
Nsg14
Nsg15
VFALSE
p91846
sbNNg8
(g9
g10
NtRp91847
(dp91848
g13
Nsg14
Nsg15
VFALSE
p91849
sbNNg8
(g9
g10
NtRp91850
(dp91851
g13
Nsg14
Nsg15
VFALSE
p91852
sbNg8
(g9
g10
NtRp91853
(dp91854
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/74cc2d96-c822-4e4c-98fb-bb58714f94c8f.png
p91855
sbg8
(g9
g10
NtRp91856
(dp91857
g13
Nsg14
Nsg15
VEPSG:3035
p91858
sbg8
(g9
g10
NtRp91859
(dp91860
g13
Nsg14
Nsg15
V2019-07-02
p91861
sbNg8
(g9
g10
NtRp91862
(dp91863
g13
Nsg14
Nsg15
VGeographical grid systems
p91864
sbg8
(g9
g10
NtRp91865
(dp91866
g13
Nsg14
Nsg15
Vgridding
p91867
sbg8
(g9
g10
NtRp91868
(dp91869
g13
Nsg14
Nsg15
Vvector
p91870
sbg8
(g9
g10
NtRp91871
(dp91872
g13
Nsg14
Nsg15
VSHP
p91873
sbNg8
(g9
g10
NtRp91874
(dp91875
g13
Nsg14
Nsg15
V10000m
p91876
sbNg8
(g9
g10
NtRp91877
(dp91878
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91879
sbg8
(g9
g10
NtRp91880
(dp91881
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74cc2d96-c822-4e4c-98fb-bb58714f94c8f
p91882
sbg8
(g9
g10
NtRp91883
(dp91884
g13
Nsg14
g74
sg15
V2013
p91885
sbg8
(g9
g10
NtRp91886
(dp91887
g13
Nsg14
g74
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V2013
p91888
sbg8
(g9
g10
NtRp91889
(dp91890
g13
Nsg14
Nsg15
VFALSE
p91891
sbg8
(g9
g10
NtRp91892
(dp91893
g13
Nsg14
Nsg15
VRomania
p91894
sbg8
(g9
g10
NtRp91895
(dp91896
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91897
sbg8
(g9
g10
NtRp91898
(dp91899
g13
Nsg14
Nsg15
VFALSE
p91900
sbg8
(g9
g10
NtRp91901
(dp91902
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91903
sbg8
(g9
g10
NtRp91904
(dp91905
g13
Nsg14
Nsg15
VFALSE
p91906
sbNNNNNNNg8
(g9
g10
NtRp91907
(dp91908
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91909
(dp91910
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91911
(dp91912
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ro_2013
p91913
sbNNtp91914
a(g8
(g9
g10
NtRp91915
(dp91916
g13
Nsg14
Nsg15
V63584a1f-9a9a-49e1-bba3-8b4fbd29e446f
p91917
sbNg8
(g9
g10
NtRp91918
(dp91919
g13
Nsg14
Nsg15
VEEA reference grid for Greece (100km), May 2013
p91920
sbNNNNNg8
(g9
g10
NtRp91921
(dp91922
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p91923
sbNNg8
(g9
g10
NtRp91924
(dp91925
g13
Nsg14
Nsg15
VFALSE
p91926
sbNNNg8
(g9
g10
NtRp91927
(dp91928
g13
Nsg14
Nsg15
VFALSE
p91929
sbNNg8
(g9
g10
NtRp91930
(dp91931
g13
Nsg14
Nsg15
VFALSE
p91932
sbNNg8
(g9
g10
NtRp91933
(dp91934
g13
Nsg14
Nsg15
VFALSE
p91935
sbNg8
(g9
g10
NtRp91936
(dp91937
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/63584a1f-9a9a-49e1-bba3-8b4fbd29e446f.png
p91938
sbg8
(g9
g10
NtRp91939
(dp91940
g13
Nsg14
Nsg15
VEPSG:3035
p91941
sbg8
(g9
g10
NtRp91942
(dp91943
g13
Nsg14
Nsg15
V2019-07-01
p91944
sbNg8
(g9
g10
NtRp91945
(dp91946
g13
Nsg14
Nsg15
VGeographical grid systems
p91947
sbg8
(g9
g10
NtRp91948
(dp91949
g13
Nsg14
Nsg15
Vgridding
p91950
sbg8
(g9
g10
NtRp91951
(dp91952
g13
Nsg14
Nsg15
Vvector
p91953
sbg8
(g9
g10
NtRp91954
(dp91955
g13
Nsg14
Nsg15
VSHP
p91956
sbNg8
(g9
g10
NtRp91957
(dp91958
g13
Nsg14
Nsg15
V100000m
p91959
sbNg8
(g9
g10
NtRp91960
(dp91961
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p91962
sbg8
(g9
g10
NtRp91963
(dp91964
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63584a1f-9a9a-49e1-bba3-8b4fbd29e446f
p91965
sbg8
(g9
g10
NtRp91966
(dp91967
g13
Nsg14
g74
sg15
V2013
p91968
sbg8
(g9
g10
NtRp91969
(dp91970
g13
Nsg14
g74
sg15
V2013
p91971
sbg8
(g9
g10
NtRp91972
(dp91973
g13
Nsg14
Nsg15
VFALSE
p91974
sbg8
(g9
g10
NtRp91975
(dp91976
g13
Nsg14
Nsg15
VGreece
p91977
sbg8
(g9
g10
NtRp91978
(dp91979
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p91980
sbg8
(g9
g10
NtRp91981
(dp91982
g13
Nsg14
Nsg15
VFALSE
p91983
sbg8
(g9
g10
NtRp91984
(dp91985
g13
Nsg14
Nsg15
VEuropean Environment Agency
p91986
sbg8
(g9
g10
NtRp91987
(dp91988
g13
Nsg14
Nsg15
VFALSE
p91989
sbNNNNNNNg8
(g9
g10
NtRp91990
(dp91991
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp91992
(dp91993
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp91994
(dp91995
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gr_2013
p91996
sbNNtp91997
a(g8
(g9
g10
NtRp91998
(dp91999
g13
Nsg14
Nsg15
Ve4a9d0cd-6c71-4c54-b8e5-554f861b1987f
p92000
sbNg8
(g9
g10
NtRp92001
(dp92002
g13
Nsg14
Nsg15
VEEA reference grid for Bulgaria (1km), May 2013
p92003
sbNNNNNg8
(g9
g10
NtRp92004
(dp92005
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92006
sbNNg8
(g9
g10
NtRp92007
(dp92008
g13
Nsg14
Nsg15
VFALSE
p92009
sbNNNg8
(g9
g10
NtRp92010
(dp92011
g13
Nsg14
Nsg15
VFALSE
p92012
sbNNg8
(g9
g10
NtRp92013
(dp92014
g13
Nsg14
Nsg15
VFALSE
p92015
sbNNg8
(g9
g10
NtRp92016
(dp92017
g13
Nsg14
Nsg15
VFALSE
p92018
sbNg8
(g9
g10
NtRp92019
(dp92020
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4a9d0cd-6c71-4c54-b8e5-554f861b1987f.png
p92021
sbg8
(g9
g10
NtRp92022
(dp92023
g13
Nsg14
Nsg15
VEPSG:3035
p92024
sbg8
(g9
g10
NtRp92025
(dp92026
g13
Nsg14
Nsg15
V2019-06-21
p92027
sbNg8
(g9
g10
NtRp92028
(dp92029
g13
Nsg14
Nsg15
VGeographical grid systems
p92030
sbg8
(g9
g10
NtRp92031
(dp92032
g13
Nsg14
Nsg15
Vgridding
p92033
sbg8
(g9
g10
NtRp92034
(dp92035
g13
Nsg14
Nsg15
Vvector
p92036
sbg8
(g9
g10
NtRp92037
(dp92038
g13
Nsg14
Nsg15
VSHP
p92039
sbNg8
(g9
g10
NtRp92040
(dp92041
g13
Nsg14
Nsg15
V1000m
p92042
sbNg8
(g9
g10
NtRp92043
(dp92044
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92045
sbg8
(g9
g10
NtRp92046
(dp92047
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4a9d0cd-6c71-4c54-b8e5-554f861b1987f
p92048
sbg8
(g9
g10
NtRp92049
(dp92050
g13
Nsg14
g74
sg15
V2013
p92051
sbg8
(g9
g10
NtRp92052
(dp92053
g13
Nsg14
g74
sg15
V2013
p92054
sbg8
(g9
g10
NtRp92055
(dp92056
g13
Nsg14
Nsg15
VFALSE
p92057
sbg8
(g9
g10
NtRp92058
(dp92059
g13
Nsg14
Nsg15
VBulgaria
p92060
sbg8
(g9
g10
NtRp92061
(dp92062
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p92063
sbg8
(g9
g10
NtRp92064
(dp92065
g13
Nsg14
Nsg15
VFALSE
p92066
sbg8
(g9
g10
NtRp92067
(dp92068
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92069
sbg8
(g9
g10
NtRp92070
(dp92071
g13
Nsg14
Nsg15
VFALSE
p92072
sbNNNNNNNg8
(g9
g10
NtRp92073
(dp92074
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92075
(dp92076
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92077
(dp92078
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-bg_2013
p92079
sbNNtp92080
a(g8
(g9
g10
NtRp92081
(dp92082
g13
Nsg14
Nsg15
Vc651bc41-d5da-49de-ba47-c51eabbb2007f
p92083
sbNg8
(g9
g10
NtRp92084
(dp92085
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (100km), May 2013
p92086
sbNNNNNg8
(g9
g10
NtRp92087
(dp92088
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92089
sbNNg8
(g9
g10
NtRp92090
(dp92091
g13
Nsg14
Nsg15
VFALSE
p92092
sbNNNg8
(g9
g10
NtRp92093
(dp92094
g13
Nsg14
Nsg15
VFALSE
p92095
sbNNg8
(g9
g10
NtRp92096
(dp92097
g13
Nsg14
Nsg15
VFALSE
p92098
sbNNg8
(g9
g10
NtRp92099
(dp92100
g13
Nsg14
Nsg15
VFALSE
p92101
sbNg8
(g9
g10
NtRp92102
(dp92103
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c651bc41-d5da-49de-ba47-c51eabbb2007f.png
p92104
sbg8
(g9
g10
NtRp92105
(dp92106
g13
Nsg14
Nsg15
VEPSG:3035
p92107
sbg8
(g9
g10
NtRp92108
(dp92109
g13
Nsg14
Nsg15
V2019-07-02
p92110
sbNg8
(g9
g10
NtRp92111
(dp92112
g13
Nsg14
Nsg15
VGeographical grid systems
p92113
sbg8
(g9
g10
NtRp92114
(dp92115
g13
Nsg14
Nsg15
Vgridding
p92116
sbg8
(g9
g10
NtRp92117
(dp92118
g13
Nsg14
Nsg15
Vvector
p92119
sbg8
(g9
g10
NtRp92120
(dp92121
g13
Nsg14
Nsg15
VSHP
p92122
sbNg8
(g9
g10
NtRp92123
(dp92124
g13
Nsg14
Nsg15
V100000m
p92125
sbNg8
(g9
g10
NtRp92126
(dp92127
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92128
sbg8
(g9
g10
NtRp92129
(dp92130
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c651bc41-d5da-49de-ba47-c51eabbb2007f
p92131
sbg8
(g9
g10
NtRp92132
(dp92133
g13
Nsg14
g74
sg15
V2013
p92134
sbg8
(g9
g10
NtRp92135
(dp92136
g13
Nsg14
g74
sg15
V2013
p92137
sbg8
(g9
g10
NtRp92138
(dp92139
g13
Nsg14
Nsg15
VFALSE
p92140
sbg8
(g9
g10
NtRp92141
(dp92142
g13
Nsg14
Nsg15
VTurkey
p92143
sbg8
(g9
g10
NtRp92144
(dp92145
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92146
sbg8
(g9
g10
NtRp92147
(dp92148
g13
Nsg14
Nsg15
VFALSE
p92149
sbg8
(g9
g10
NtRp92150
(dp92151
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92152
sbg8
(g9
g10
NtRp92153
(dp92154
g13
Nsg14
Nsg15
VFALSE
p92155
sbNNNNNNNg8
(g9
g10
NtRp92156
(dp92157
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92158
(dp92159
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92160
(dp92161
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-tr_2013
p92162
sbNNtp92163
a(g8
(g9
g10
NtRp92164
(dp92165
g13
Nsg14
Nsg15
V93315b78-089d-43a5-ac76-b3df627b2e4cf
p92166
sbNg8
(g9
g10
NtRp92167
(dp92168
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (10km), May 2013
p92169
sbNNNNNg8
(g9
g10
NtRp92170
(dp92171
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92172
sbNNg8
(g9
g10
NtRp92173
(dp92174
g13
Nsg14
Nsg15
VFALSE
p92175
sbNNNg8
(g9
g10
NtRp92176
(dp92177
g13
Nsg14
Nsg15
VFALSE
p92178
sbNNg8
(g9
g10
NtRp92179
(dp92180
g13
Nsg14
Nsg15
VFALSE
p92181
sbNNg8
(g9
g10
NtRp92182
(dp92183
g13
Nsg14
Nsg15
VFALSE
p92184
sbNg8
(g9
g10
NtRp92185
(dp92186
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/93315b78-089d-43a5-ac76-b3df627b2e4cf.png
p92187
sbg8
(g9
g10
NtRp92188
(dp92189
g13
Nsg14
Nsg15
VEPSG:3035
p92190
sbg8
(g9
g10
NtRp92191
(dp92192
g13
Nsg14
Nsg15
V2019-07-02
p92193
sbNg8
(g9
g10
NtRp92194
(dp92195
g13
Nsg14
Nsg15
VGeographical grid systems
p92196
sbg8
(g9
g10
NtRp92197
(dp92198
g13
Nsg14
Nsg15
Vgridding
p92199
sbg8
(g9
g10
NtRp92200
(dp92201
g13
Nsg14
Nsg15
Vvector
p92202
sbg8
(g9
g10
NtRp92203
(dp92204
g13
Nsg14
Nsg15
VSHP
p92205
sbNg8
(g9
g10
NtRp92206
(dp92207
g13
Nsg14
Nsg15
V10000m
p92208
sbNg8
(g9
g10
NtRp92209
(dp92210
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92211
sbg8
(g9
g10
NtRp92212
(dp92213
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/93315b78-089d-43a5-ac76-b3df627b2e4cf
p92214
sbg8
(g9
g10
NtRp92215
(dp92216
g13
Nsg14
g74
sg15
V2013
p92217
sbg8
(g9
g10
NtRp92218
(dp92219
g13
Nsg14
g74
sg15
V2013
p92220
sbg8
(g9
g10
NtRp92221
(dp92222
g13
Nsg14
Nsg15
VFALSE
p92223
sbg8
(g9
g10
NtRp92224
(dp92225
g13
Nsg14
Nsg15
VUnited Kingdom
p92226
sbg8
(g9
g10
NtRp92227
(dp92228
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92229
sbg8
(g9
g10
NtRp92230
(dp92231
g13
Nsg14
Nsg15
VFALSE
p92232
sbg8
(g9
g10
NtRp92233
(dp92234
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92235
sbg8
(g9
g10
NtRp92236
(dp92237
g13
Nsg14
Nsg15
VFALSE
p92238
sbNNNNNNNg8
(g9
g10
NtRp92239
(dp92240
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92241
(dp92242
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92243
(dp92244
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gb_2013
p92245
sbNNtp92246
a(g8
(g9
g10
NtRp92247
(dp92248
g13
Nsg14
Nsg15
V059d02f7-df51-45ad-adfd-d46fc3f4ee88f
p92249
sbNg8
(g9
g10
NtRp92250
(dp92251
g13
Nsg14
Nsg15
VEEA reference grid for Norway (100km), May 2013
p92252
sbNNNNNg8
(g9
g10
NtRp92253
(dp92254
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92255
sbNNg8
(g9
g10
NtRp92256
(dp92257
g13
Nsg14
Nsg15
VFALSE
p92258
sbNNNg8
(g9
g10
NtRp92259
(dp92260
g13
Nsg14
Nsg15
VFALSE
p92261
sbNNg8
(g9
g10
NtRp92262
(dp92263
g13
Nsg14
Nsg15
VFALSE
p92264
sbNNg8
(g9
g10
NtRp92265
(dp92266
g13
Nsg14
Nsg15
VFALSE
p92267
sbNg8
(g9
g10
NtRp92268
(dp92269
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/059d02f7-df51-45ad-adfd-d46fc3f4ee88f.png
p92270
sbg8
(g9
g10
NtRp92271
(dp92272
g13
Nsg14
Nsg15
VEPSG:3035
p92273
sbg8
(g9
g10
NtRp92274
(dp92275
g13
Nsg14
Nsg15
V2019-07-02
p92276
sbNg8
(g9
g10
NtRp92277
(dp92278
g13
Nsg14
Nsg15
VGeographical grid systems
p92279
sbg8
(g9
g10
NtRp92280
(dp92281
g13
Nsg14
Nsg15
Vgridding
p92282
sbg8
(g9
g10
NtRp92283
(dp92284
g13
Nsg14
Nsg15
Vvector
p92285
sbg8
(g9
g10
NtRp92286
(dp92287
g13
Nsg14
Nsg15
VSHP
p92288
sbNg8
(g9
g10
NtRp92289
(dp92290
g13
Nsg14
Nsg15
V100000m
p92291
sbNg8
(g9
g10
NtRp92292
(dp92293
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92294
sbg8
(g9
g10
NtRp92295
(dp92296
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/059d02f7-df51-45ad-adfd-d46fc3f4ee88f
p92297
sbg8
(g9
g10
NtRp92298
(dp92299
g13
Nsg14
g74
sg15
V2013
p92300
sbg8
(g9
g10
NtRp92301
(dp92302
g13
Nsg14
g74
sg15
V2013
p92303
sbg8
(g9
g10
NtRp92304
(dp92305
g13
Nsg14
Nsg15
VFALSE
p92306
sbg8
(g9
g10
NtRp92307
(dp92308
g13
Nsg14
Nsg15
VNorway
p92309
sbg8
(g9
g10
NtRp92310
(dp92311
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92312
sbg8
(g9
g10
NtRp92313
(dp92314
g13
Nsg14
Nsg15
VFALSE
p92315
sbg8
(g9
g10
NtRp92316
(dp92317
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92318
sbg8
(g9
g10
NtRp92319
(dp92320
g13
Nsg14
Nsg15
VFALSE
p92321
sbNNNNNNNg8
(g9
g10
NtRp92322
(dp92323
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92324
(dp92325
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92326
(dp92327
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-no_2013
p92328
sbNNtp92329
a(g8
(g9
g10
NtRp92330
(dp92331
g13
Nsg14
Nsg15
V98480df2-c52a-492f-8fb6-3dcf6e13f344f
p92332
sbNg8
(g9
g10
NtRp92333
(dp92334
g13
Nsg14
Nsg15
VEEA reference grid for Serbia (1km), May 2013
p92335
sbNNNNNg8
(g9
g10
NtRp92336
(dp92337
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92338
sbNNg8
(g9
g10
NtRp92339
(dp92340
g13
Nsg14
Nsg15
VFALSE
p92341
sbNNNg8
(g9
g10
NtRp92342
(dp92343
g13
Nsg14
Nsg15
VFALSE
p92344
sbNNg8
(g9
g10
NtRp92345
(dp92346
g13
Nsg14
Nsg15
VFALSE
p92347
sbNNg8
(g9
g10
NtRp92348
(dp92349
g13
Nsg14
Nsg15
VFALSE
p92350
sbNg8
(g9
g10
NtRp92351
(dp92352
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/98480df2-c52a-492f-8fb6-3dcf6e13f344f.png
p92353
sbg8
(g9
g10
NtRp92354
(dp92355
g13
Nsg14
Nsg15
VEPSG:3035
p92356
sbg8
(g9
g10
NtRp92357
(dp92358
g13
Nsg14
Nsg15
V2019-07-02
p92359
sbNg8
(g9
g10
NtRp92360
(dp92361
g13
Nsg14
Nsg15
VGeographical grid systems
p92362
sbg8
(g9
g10
NtRp92363
(dp92364
g13
Nsg14
Nsg15
Vgridding
p92365
sbg8
(g9
g10
NtRp92366
(dp92367
g13
Nsg14
Nsg15
Vvector
p92368
sbg8
(g9
g10
NtRp92369
(dp92370
g13
Nsg14
Nsg15
VSHP
p92371
sbNg8
(g9
g10
NtRp92372
(dp92373
g13
Nsg14
Nsg15
V1000m
p92374
sbNg8
(g9
g10
NtRp92375
(dp92376
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92377
sbg8
(g9
g10
NtRp92378
(dp92379
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98480df2-c52a-492f-8fb6-3dcf6e13f344f
p92380
sbg8
(g9
g10
NtRp92381
(dp92382
g13
Nsg14
g74
sg15
V2013
p92383
sbg8
(g9
g10
NtRp92384
(dp92385
g13
Nsg14
g74
sg15
V2013
p92386
sbg8
(g9
g10
NtRp92387
(dp92388
g13
Nsg14
Nsg15
VFALSE
p92389
sbg8
(g9
g10
NtRp92390
(dp92391
g13
Nsg14
Nsg15
VSerbia
p92392
sbg8
(g9
g10
NtRp92393
(dp92394
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92395
sbg8
(g9
g10
NtRp92396
(dp92397
g13
Nsg14
Nsg15
VFALSE
p92398
sbg8
(g9
g10
NtRp92399
(dp92400
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92401
sbg8
(g9
g10
NtRp92402
(dp92403
g13
Nsg14
Nsg15
VFALSE
p92404
sbNNNNNNNg8
(g9
g10
NtRp92405
(dp92406
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92407
(dp92408
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92409
(dp92410
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-rs_2013
p92411
sbNNtp92412
a(g8
(g9
g10
NtRp92413
(dp92414
g13
Nsg14
Nsg15
Ve374dcbc-0e0a-44f0-8906-25ba4053deb8f
p92415
sbNg8
(g9
g10
NtRp92416
(dp92417
g13
Nsg14
Nsg15
VEEA reference grid for Turkey (1km), May 2013
p92418
sbNNNNNg8
(g9
g10
NtRp92419
(dp92420
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92421
sbNNg8
(g9
g10
NtRp92422
(dp92423
g13
Nsg14
Nsg15
VFALSE
p92424
sbNNNg8
(g9
g10
NtRp92425
(dp92426
g13
Nsg14
Nsg15
VFALSE
p92427
sbNNg8
(g9
g10
NtRp92428
(dp92429
g13
Nsg14
Nsg15
VFALSE
p92430
sbNNg8
(g9
g10
NtRp92431
(dp92432
g13
Nsg14
Nsg15
VFALSE
p92433
sbNg8
(g9
g10
NtRp92434
(dp92435
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e374dcbc-0e0a-44f0-8906-25ba4053deb8f.png
p92436
sbg8
(g9
g10
NtRp92437
(dp92438
g13
Nsg14
Nsg15
VEPSG:3035
p92439
sbg8
(g9
g10
NtRp92440
(dp92441
g13
Nsg14
Nsg15
V2019-07-02
p92442
sbNg8
(g9
g10
NtRp92443
(dp92444
g13
Nsg14
Nsg15
VGeographical grid systems
p92445
sbg8
(g9
g10
NtRp92446
(dp92447
g13
Nsg14
Nsg15
Vgridding
p92448
sbg8
(g9
g10
NtRp92449
(dp92450
g13
Nsg14
Nsg15
Vvector
p92451
sbg8
(g9
g10
NtRp92452
(dp92453
g13
Nsg14
Nsg15
VSHP
p92454
sbNg8
(g9
g10
NtRp92455
(dp92456
g13
Nsg14
Nsg15
V1000m
p92457
sbNg8
(g9
g10
NtRp92458
(dp92459
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92460
sbg8
(g9
g10
NtRp92461
(dp92462
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e374dcbc-0e0a-44f0-8906-25ba4053deb8f
p92463
sbg8
(g9
g10
NtRp92464
(dp92465
g13
Nsg14
g74
sg15
V2013
p92466
sbg8
(g9
g10
NtRp92467
(dp92468
g13
Nsg14
g74
sg15
V2013
p92469
sbg8
(g9
g10
NtRp92470
(dp92471
g13
Nsg14
Nsg15
VFALSE
p92472
sbg8
(g9
g10
NtRp92473
(dp92474
g13
Nsg14
Nsg15
VTurkey
p92475
sbg8
(g9
g10
NtRp92476
(dp92477
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92478
sbg8
(g9
g10
NtRp92479
(dp92480
g13
Nsg14
Nsg15
VFALSE
p92481
sbg8
(g9
g10
NtRp92482
(dp92483
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92484
sbg8
(g9
g10
NtRp92485
(dp92486
g13
Nsg14
Nsg15
VFALSE
p92487
sbNNNNNNNg8
(g9
g10
NtRp92488
(dp92489
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92490
(dp92491
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92492
(dp92493
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-tr_2013
p92494
sbNNtp92495
a(g8
(g9
g10
NtRp92496
(dp92497
g13
Nsg14
Nsg15
Vfa2d05bc-208b-4a46-b400-6f01fed47c24f
p92498
sbNg8
(g9
g10
NtRp92499
(dp92500
g13
Nsg14
Nsg15
VEEA reference grid for Bosnia and Herzegovina (10km), May 2013
p92501
sbNNNNNg8
(g9
g10
NtRp92502
(dp92503
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92504
sbNNg8
(g9
g10
NtRp92505
(dp92506
g13
Nsg14
Nsg15
VFALSE
p92507
sbNNNg8
(g9
g10
NtRp92508
(dp92509
g13
Nsg14
Nsg15
VFALSE
p92510
sbNNg8
(g9
g10
NtRp92511
(dp92512
g13
Nsg14
Nsg15
VFALSE
p92513
sbNNg8
(g9
g10
NtRp92514
(dp92515
g13
Nsg14
Nsg15
VFALSE
p92516
sbNg8
(g9
g10
NtRp92517
(dp92518
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa2d05bc-208b-4a46-b400-6f01fed47c24f.png
p92519
sbg8
(g9
g10
NtRp92520
(dp92521
g13
Nsg14
Nsg15
VEPSG:3035
p92522
sbg8
(g9
g10
NtRp92523
(dp92524
g13
Nsg14
Nsg15
V2019-06-21
p92525
sbNg8
(g9
g10
NtRp92526
(dp92527
g13
Nsg14
Nsg15
VGeographical grid systems
p92528
sbg8
(g9
g10
NtRp92529
(dp92530
g13
Nsg14
Nsg15
Vgridding
p92531
sbg8
(g9
g10
NtRp92532
(dp92533
g13
Nsg14
Nsg15
Vvector
p92534
sbg8
(g9
g10
NtRp92535
(dp92536
g13
Nsg14
Nsg15
VSHP
p92537
sbNg8
(g9
g10
NtRp92538
(dp92539
g13
Nsg14
Nsg15
V10000m
p92540
sbNg8
(g9
g10
NtRp92541
(dp92542
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92543
sbg8
(g9
g10
NtRp92544
(dp92545
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa2d05bc-208b-4a46-b400-6f01fed47c24f
p92546
sbg8
(g9
g10
NtRp92547
(dp92548
g13
Nsg14
g74
sg15
V2013
p92549
sbg8
(g9
g10
NtRp92550
(dp92551
g13
Nsg14
g74
sg15
V2013
p92552
sbg8
(g9
g10
NtRp92553
(dp92554
g13
Nsg14
Nsg15
VFALSE
p92555
sbg8
(g9
g10
NtRp92556
(dp92557
g13
Nsg14
Nsg15
VBosnia and Herzegovina
p92558
sbg8
(g9
g10
NtRp92559
(dp92560
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92561
sbg8
(g9
g10
NtRp92562
(dp92563
g13
Nsg14
Nsg15
VFALSE
p92564
sbg8
(g9
g10
NtRp92565
(dp92566
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92567
sbg8
(g9
g10
NtRp92568
(dp92569
g13
Nsg14
Nsg15
VFALSE
p92570
sbNNNNNNNg8
(g9
g10
NtRp92571
(dp92572
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92573
(dp92574
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92575
(dp92576
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ba_2013
p92577
sbNNtp92578
a(g8
(g9
g10
NtRp92579
(dp92580
g13
Nsg14
Nsg15
V48b3b559-e140-4f67-8c67-842f7524078af
p92581
sbNg8
(g9
g10
NtRp92582
(dp92583
g13
Nsg14
Nsg15
VEEA reference grid for Spain (10km), May 2013
p92584
sbNNNNNg8
(g9
g10
NtRp92585
(dp92586
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92587
sbNNg8
(g9
g10
NtRp92588
(dp92589
g13
Nsg14
Nsg15
VFALSE
p92590
sbNNNg8
(g9
g10
NtRp92591
(dp92592
g13
Nsg14
Nsg15
VFALSE
p92593
sbNNg8
(g9
g10
NtRp92594
(dp92595
g13
Nsg14
Nsg15
VFALSE
p92596
sbNNg8
(g9
g10
NtRp92597
(dp92598
g13
Nsg14
Nsg15
VFALSE
p92599
sbNg8
(g9
g10
NtRp92600
(dp92601
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/48b3b559-e140-4f67-8c67-842f7524078af.png
p92602
sbg8
(g9
g10
NtRp92603
(dp92604
g13
Nsg14
Nsg15
VEPSG:3035
p92605
sbg8
(g9
g10
NtRp92606
(dp92607
g13
Nsg14
Nsg15
V2019-07-02
p92608
sbNg8
(g9
g10
NtRp92609
(dp92610
g13
Nsg14
Nsg15
VGeographical grid systems
p92611
sbg8
(g9
g10
NtRp92612
(dp92613
g13
Nsg14
Nsg15
Vgridding
p92614
sbg8
(g9
g10
NtRp92615
(dp92616
g13
Nsg14
Nsg15
Vvector
p92617
sbg8
(g9
g10
NtRp92618
(dp92619
g13
Nsg14
Nsg15
VSHP
p92620
sbNg8
(g9
g10
NtRp92621
(dp92622
g13
Nsg14
Nsg15
V10000m
p92623
sbNg8
(g9
g10
NtRp92624
(dp92625
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92626
sbg8
(g9
g10
NtRp92627
(dp92628
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48b3b559-e140-4f67-8c67-842f7524078af
p92629
sbg8
(g9
g10
NtRp92630
(dp92631
g13
Nsg14
g74
sg15
V2013
p92632
sbg8
(g9
g10
NtRp92633
(dp92634
g13
Nsg14
g74
sg15
V2013
p92635
sbg8
(g9
g10
NtRp92636
(dp92637
g13
Nsg14
Nsg15
VFALSE
p92638
sbg8
(g9
g10
NtRp92639
(dp92640
g13
Nsg14
Nsg15
VSpain
p92641
sbg8
(g9
g10
NtRp92642
(dp92643
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92644
sbg8
(g9
g10
NtRp92645
(dp92646
g13
Nsg14
Nsg15
VFALSE
p92647
sbg8
(g9
g10
NtRp92648
(dp92649
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92650
sbg8
(g9
g10
NtRp92651
(dp92652
g13
Nsg14
Nsg15
VFALSE
p92653
sbNNNNNNNg8
(g9
g10
NtRp92654
(dp92655
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92656
(dp92657
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92658
(dp92659
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-es_2013
p92660
sbNNtp92661
a(g8
(g9
g10
NtRp92662
(dp92663
g13
Nsg14
Nsg15
V1fb349ec-84d9-46ee-b361-facb4e3a5251f
p92664
sbNg8
(g9
g10
NtRp92665
(dp92666
g13
Nsg14
Nsg15
VEEA reference grid for France (10km), May 2013
p92667
sbNNNNNg8
(g9
g10
NtRp92668
(dp92669
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92670
sbNNg8
(g9
g10
NtRp92671
(dp92672
g13
Nsg14
Nsg15
VFALSE
p92673
sbNNNg8
(g9
g10
NtRp92674
(dp92675
g13
Nsg14
Nsg15
VFALSE
p92676
sbNNg8
(g9
g10
NtRp92677
(dp92678
g13
Nsg14
Nsg15
VFALSE
p92679
sbNNg8
(g9
g10
NtRp92680
(dp92681
g13
Nsg14
Nsg15
VFALSE
p92682
sbNg8
(g9
g10
NtRp92683
(dp92684
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fb349ec-84d9-46ee-b361-facb4e3a5251f.png
p92685
sbg8
(g9
g10
NtRp92686
(dp92687
g13
Nsg14
Nsg15
VEPSG:3035
p92688
sbg8
(g9
g10
NtRp92689
(dp92690
g13
Nsg14
Nsg15
V2019-06-27
p92691
sbNg8
(g9
g10
NtRp92692
(dp92693
g13
Nsg14
Nsg15
VGeographical grid systems
p92694
sbg8
(g9
g10
NtRp92695
(dp92696
g13
Nsg14
Nsg15
Vgridding
p92697
sbg8
(g9
g10
NtRp92698
(dp92699
g13
Nsg14
Nsg15
Vvector
p92700
sbg8
(g9
g10
NtRp92701
(dp92702
g13
Nsg14
Nsg15
VSHP
p92703
sbNg8
(g9
g10
NtRp92704
(dp92705
g13
Nsg14
Nsg15
V10000m
p92706
sbNg8
(g9
g10
NtRp92707
(dp92708
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92709
sbg8
(g9
g10
NtRp92710
(dp92711
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fb349ec-84d9-46ee-b361-facb4e3a5251f
p92712
sbg8
(g9
g10
NtRp92713
(dp92714
g13
Nsg14
g74
sg15
V2013
p92715
sbg8
(g9
g10
NtRp92716
(dp92717
g13
Nsg14
g74
sg15
V2013
p92718
sbg8
(g9
g10
NtRp92719
(dp92720
g13
Nsg14
Nsg15
VFALSE
p92721
sbg8
(g9
g10
NtRp92722
(dp92723
g13
Nsg14
Nsg15
VFrance
p92724
sbg8
(g9
g10
NtRp92725
(dp92726
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92727
sbg8
(g9
g10
NtRp92728
(dp92729
g13
Nsg14
Nsg15
VFALSE
p92730
sbg8
(g9
g10
NtRp92731
(dp92732
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92733
sbg8
(g9
g10
NtRp92734
(dp92735
g13
Nsg14
Nsg15
VFALSE
p92736
sbNNNNNNNg8
(g9
g10
NtRp92737
(dp92738
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92739
(dp92740
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92741
(dp92742
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-fr_2013
p92743
sbNNtp92744
a(g8
(g9
g10
NtRp92745
(dp92746
g13
Nsg14
Nsg15
V956f2e84-6461-4025-b948-9e3e47972b83f
p92747
sbNg8
(g9
g10
NtRp92748
(dp92749
g13
Nsg14
Nsg15
VEEA reference grid for Poland (1km), May 2013
p92750
sbNNNNNg8
(g9
g10
NtRp92751
(dp92752
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92753
sbNNg8
(g9
g10
NtRp92754
(dp92755
g13
Nsg14
Nsg15
VFALSE
p92756
sbNNNg8
(g9
g10
NtRp92757
(dp92758
g13
Nsg14
Nsg15
VFALSE
p92759
sbNNg8
(g9
g10
NtRp92760
(dp92761
g13
Nsg14
Nsg15
VFALSE
p92762
sbNNg8
(g9
g10
NtRp92763
(dp92764
g13
Nsg14
Nsg15
VFALSE
p92765
sbNg8
(g9
g10
NtRp92766
(dp92767
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/956f2e84-6461-4025-b948-9e3e47972b83f.png
p92768
sbg8
(g9
g10
NtRp92769
(dp92770
g13
Nsg14
Nsg15
VEPSG:3035
p92771
sbg8
(g9
g10
NtRp92772
(dp92773
g13
Nsg14
Nsg15
V2019-07-02
p92774
sbNg8
(g9
g10
NtRp92775
(dp92776
g13
Nsg14
Nsg15
VGeographical grid systems
p92777
sbg8
(g9
g10
NtRp92778
(dp92779
g13
Nsg14
Nsg15
Vgridding
p92780
sbg8
(g9
g10
NtRp92781
(dp92782
g13
Nsg14
Nsg15
Vvector
p92783
sbg8
(g9
g10
NtRp92784
(dp92785
g13
Nsg14
Nsg15
VSHP
p92786
sbNg8
(g9
g10
NtRp92787
(dp92788
g13
Nsg14
Nsg15
V1000m
p92789
sbNg8
(g9
g10
NtRp92790
(dp92791
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92792
sbg8
(g9
g10
NtRp92793
(dp92794
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956f2e84-6461-4025-b948-9e3e47972b83f
p92795
sbg8
(g9
g10
NtRp92796
(dp92797
g13
Nsg14
g74
sg15
V2013
p92798
sbg8
(g9
g10
NtRp92799
(dp92800
g13
Nsg14
g74
sg15
V2013
p92801
sbg8
(g9
g10
NtRp92802
(dp92803
g13
Nsg14
Nsg15
VFALSE
p92804
sbg8
(g9
g10
NtRp92805
(dp92806
g13
Nsg14
Nsg15
VPoland
p92807
sbg8
(g9
g10
NtRp92808
(dp92809
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92810
sbg8
(g9
g10
NtRp92811
(dp92812
g13
Nsg14
Nsg15
VFALSE
p92813
sbg8
(g9
g10
NtRp92814
(dp92815
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92816
sbg8
(g9
g10
NtRp92817
(dp92818
g13
Nsg14
Nsg15
VFALSE
p92819
sbNNNNNNNg8
(g9
g10
NtRp92820
(dp92821
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92822
(dp92823
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92824
(dp92825
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pl_2013
p92826
sbNNtp92827
a(g8
(g9
g10
NtRp92828
(dp92829
g13
Nsg14
Nsg15
V9e906444-2611-4d62-bb09-850bb4c27912f
p92830
sbNg8
(g9
g10
NtRp92831
(dp92832
g13
Nsg14
Nsg15
VEEA reference grid for Sweden (1km), May 2013
p92833
sbNNNNNg8
(g9
g10
NtRp92834
(dp92835
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92836
sbNNg8
(g9
g10
NtRp92837
(dp92838
g13
Nsg14
Nsg15
VFALSE
p92839
sbNNNg8
(g9
g10
NtRp92840
(dp92841
g13
Nsg14
Nsg15
VFALSE
p92842
sbNNg8
(g9
g10
NtRp92843
(dp92844
g13
Nsg14
Nsg15
VFALSE
p92845
sbNNg8
(g9
g10
NtRp92846
(dp92847
g13
Nsg14
Nsg15
VFALSE
p92848
sbNg8
(g9
g10
NtRp92849
(dp92850
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e906444-2611-4d62-bb09-850bb4c27912f.png
p92851
sbg8
(g9
g10
NtRp92852
(dp92853
g13
Nsg14
Nsg15
VEPSG:3035
p92854
sbg8
(g9
g10
NtRp92855
(dp92856
g13
Nsg14
Nsg15
V2019-07-02
p92857
sbNg8
(g9
g10
NtRp92858
(dp92859
g13
Nsg14
Nsg15
VGeographical grid systems
p92860
sbg8
(g9
g10
NtRp92861
(dp92862
g13
Nsg14
Nsg15
Vgridding
p92863
sbg8
(g9
g10
NtRp92864
(dp92865
g13
Nsg14
Nsg15
Vvector
p92866
sbg8
(g9
g10
NtRp92867
(dp92868
g13
Nsg14
Nsg15
VSHP
p92869
sbNg8
(g9
g10
NtRp92870
(dp92871
g13
Nsg14
Nsg15
V1000m
p92872
sbNg8
(g9
g10
NtRp92873
(dp92874
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92875
sbg8
(g9
g10
NtRp92876
(dp92877
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e906444-2611-4d62-bb09-850bb4c27912f
p92878
sbg8
(g9
g10
NtRp92879
(dp92880
g13
Nsg14
g74
sg15
V2013
p92881
sbg8
(g9
g10
NtRp92882
(dp92883
g13
Nsg14
g74
sg15
V2013
p92884
sbg8
(g9
g10
NtRp92885
(dp92886
g13
Nsg14
Nsg15
VFALSE
p92887
sbg8
(g9
g10
NtRp92888
(dp92889
g13
Nsg14
Nsg15
VSweden
p92890
sbg8
(g9
g10
NtRp92891
(dp92892
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92893
sbg8
(g9
g10
NtRp92894
(dp92895
g13
Nsg14
Nsg15
VFALSE
p92896
sbg8
(g9
g10
NtRp92897
(dp92898
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92899
sbg8
(g9
g10
NtRp92900
(dp92901
g13
Nsg14
Nsg15
VFALSE
p92902
sbNNNNNNNg8
(g9
g10
NtRp92903
(dp92904
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92905
(dp92906
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92907
(dp92908
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-se_2013
p92909
sbNNtp92910
a(g8
(g9
g10
NtRp92911
(dp92912
g13
Nsg14
Nsg15
V40611325-0fbf-45c0-84be-f0df0576b477f
p92913
sbNg8
(g9
g10
NtRp92914
(dp92915
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (10km), May 2013
p92916
sbNNNNNg8
(g9
g10
NtRp92917
(dp92918
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p92919
sbNNg8
(g9
g10
NtRp92920
(dp92921
g13
Nsg14
Nsg15
VFALSE
p92922
sbNNNg8
(g9
g10
NtRp92923
(dp92924
g13
Nsg14
Nsg15
VFALSE
p92925
sbNNg8
(g9
g10
NtRp92926
(dp92927
g13
Nsg14
Nsg15
VFALSE
p92928
sbNNg8
(g9
g10
NtRp92929
(dp92930
g13
Nsg14
Nsg15
VFALSE
p92931
sbNg8
(g9
g10
NtRp92932
(dp92933
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/40611325-0fbf-45c0-84be-f0df0576b477f.png
p92934
sbg8
(g9
g10
NtRp92935
(dp92936
g13
Nsg14
Nsg15
VEPSG:3035
p92937
sbg8
(g9
g10
NtRp92938
(dp92939
g13
Nsg14
Nsg15
V2019-07-01
p92940
sbNg8
(g9
g10
NtRp92941
(dp92942
g13
Nsg14
Nsg15
VGeographical grid systems
p92943
sbg8
(g9
g10
NtRp92944
(dp92945
g13
Nsg14
Nsg15
Vgridding
p92946
sbg8
(g9
g10
NtRp92947
(dp92948
g13
Nsg14
Nsg15
Vvector
p92949
sbg8
(g9
g10
NtRp92950
(dp92951
g13
Nsg14
Nsg15
VSHP
p92952
sbNg8
(g9
g10
NtRp92953
(dp92954
g13
Nsg14
Nsg15
V10000m
p92955
sbNg8
(g9
g10
NtRp92956
(dp92957
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p92958
sbg8
(g9
g10
NtRp92959
(dp92960
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40611325-0fbf-45c0-84be-f0df0576b477f
p92961
sbg8
(g9
g10
NtRp92962
(dp92963
g13
Nsg14
g74
sg15
V2013
p92964
sbg8
(g9
g10
NtRp92965
(dp92966
g13
Nsg14
g74
sg15
V2013
p92967
sbg8
(g9
g10
NtRp92968
(dp92969
g13
Nsg14
Nsg15
VFALSE
p92970
sbg8
(g9
g10
NtRp92971
(dp92972
g13
Nsg14
Nsg15
VKosovo
p92973
sbg8
(g9
g10
NtRp92974
(dp92975
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p92976
sbg8
(g9
g10
NtRp92977
(dp92978
g13
Nsg14
Nsg15
VFALSE
p92979
sbg8
(g9
g10
NtRp92980
(dp92981
g13
Nsg14
Nsg15
VEuropean Environment Agency
p92982
sbg8
(g9
g10
NtRp92983
(dp92984
g13
Nsg14
Nsg15
VFALSE
p92985
sbNNNNNNNg8
(g9
g10
NtRp92986
(dp92987
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp92988
(dp92989
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp92990
(dp92991
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-xk_2013
p92992
sbNNtp92993
a(g8
(g9
g10
NtRp92994
(dp92995
g13
Nsg14
Nsg15
V08fcaf24-5db4-44ec-895d-6a63dd33c997f
p92996
sbNg8
(g9
g10
NtRp92997
(dp92998
g13
Nsg14
Nsg15
VEEA reference grid for Cyprus (10km), May 2013
p92999
sbNNNNNg8
(g9
g10
NtRp93000
(dp93001
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93002
sbNNg8
(g9
g10
NtRp93003
(dp93004
g13
Nsg14
Nsg15
VFALSE
p93005
sbNNNg8
(g9
g10
NtRp93006
(dp93007
g13
Nsg14
Nsg15
VFALSE
p93008
sbNNg8
(g9
g10
NtRp93009
(dp93010
g13
Nsg14
Nsg15
VFALSE
p93011
sbNNg8
(g9
g10
NtRp93012
(dp93013
g13
Nsg14
Nsg15
VFALSE
p93014
sbNg8
(g9
g10
NtRp93015
(dp93016
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/08fcaf24-5db4-44ec-895d-6a63dd33c997f.png
p93017
sbg8
(g9
g10
NtRp93018
(dp93019
g13
Nsg14
Nsg15
VEPSG:3035
p93020
sbg8
(g9
g10
NtRp93021
(dp93022
g13
Nsg14
Nsg15
V2019-06-21
p93023
sbNg8
(g9
g10
NtRp93024
(dp93025
g13
Nsg14
Nsg15
VGeographical grid systems
p93026
sbg8
(g9
g10
NtRp93027
(dp93028
g13
Nsg14
Nsg15
Vgridding
p93029
sbg8
(g9
g10
NtRp93030
(dp93031
g13
Nsg14
Nsg15
Vvector
p93032
sbg8
(g9
g10
NtRp93033
(dp93034
g13
Nsg14
Nsg15
VSHP
p93035
sbNg8
(g9
g10
NtRp93036
(dp93037
g13
Nsg14
Nsg15
V10000m
p93038
sbNg8
(g9
g10
NtRp93039
(dp93040
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93041
sbg8
(g9
g10
NtRp93042
(dp93043
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08fcaf24-5db4-44ec-895d-6a63dd33c997f
p93044
sbg8
(g9
g10
NtRp93045
(dp93046
g13
Nsg14
g74
sg15
V2013
p93047
sbg8
(g9
g10
NtRp93048
(dp93049
g13
Nsg14
g74
sg15
V2013
p93050
sbg8
(g9
g10
NtRp93051
(dp93052
g13
Nsg14
Nsg15
VFALSE
p93053
sbg8
(g9
g10
NtRp93054
(dp93055
g13
Nsg14
Nsg15
VCyprus
p93056
sbg8
(g9
g10
NtRp93057
(dp93058
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93059
sbg8
(g9
g10
NtRp93060
(dp93061
g13
Nsg14
Nsg15
VFALSE
p93062
sbg8
(g9
g10
NtRp93063
(dp93064
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93065
sbg8
(g9
g10
NtRp93066
(dp93067
g13
Nsg14
Nsg15
VFALSE
p93068
sbNNNNNNNg8
(g9
g10
NtRp93069
(dp93070
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93071
(dp93072
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93073
(dp93074
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-cy_2013
p93075
sbNNtp93076
a(g8
(g9
g10
NtRp93077
(dp93078
g13
Nsg14
Nsg15
V28263ba1-b2c0-421d-bd75-6b9959da1d95f
p93079
sbNg8
(g9
g10
NtRp93080
(dp93081
g13
Nsg14
Nsg15
VEEA reference grid for Denmark (100km), May 2013
p93082
sbNNNNNg8
(g9
g10
NtRp93083
(dp93084
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93085
sbNNg8
(g9
g10
NtRp93086
(dp93087
g13
Nsg14
Nsg15
VFALSE
p93088
sbNNNg8
(g9
g10
NtRp93089
(dp93090
g13
Nsg14
Nsg15
VFALSE
p93091
sbNNg8
(g9
g10
NtRp93092
(dp93093
g13
Nsg14
Nsg15
VFALSE
p93094
sbNNg8
(g9
g10
NtRp93095
(dp93096
g13
Nsg14
Nsg15
VFALSE
p93097
sbNg8
(g9
g10
NtRp93098
(dp93099
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/28263ba1-b2c0-421d-bd75-6b9959da1d95f.png
p93100
sbg8
(g9
g10
NtRp93101
(dp93102
g13
Nsg14
Nsg15
VEPSG:3035
p93103
sbg8
(g9
g10
NtRp93104
(dp93105
g13
Nsg14
Nsg15
V2019-06-21
p93106
sbNg8
(g9
g10
NtRp93107
(dp93108
g13
Nsg14
Nsg15
VGeographical grid systems
p93109
sbg8
(g9
g10
NtRp93110
(dp93111
g13
Nsg14
Nsg15
Vgridding
p93112
sbg8
(g9
g10
NtRp93113
(dp93114
g13
Nsg14
Nsg15
Vvector
p93115
sbg8
(g9
g10
NtRp93116
(dp93117
g13
Nsg14
Nsg15
VSHP
p93118
sbNg8
(g9
g10
NtRp93119
(dp93120
g13
Nsg14
Nsg15
V100000m
p93121
sbNg8
(g9
g10
NtRp93122
(dp93123
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93124
sbg8
(g9
g10
NtRp93125
(dp93126
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28263ba1-b2c0-421d-bd75-6b9959da1d95f
p93127
sbg8
(g9
g10
NtRp93128
(dp93129
g13
Nsg14
g74
sg15
V2013
p93130
sbg8
(g9
g10
NtRp93131
(dp93132
g13
Nsg14
g74
sg15
V2013
p93133
sbg8
(g9
g10
NtRp93134
(dp93135
g13
Nsg14
Nsg15
VFALSE
p93136
sbg8
(g9
g10
NtRp93137
(dp93138
g13
Nsg14
Nsg15
VDenmark
p93139
sbg8
(g9
g10
NtRp93140
(dp93141
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93142
sbg8
(g9
g10
NtRp93143
(dp93144
g13
Nsg14
Nsg15
VFALSE
p93145
sbg8
(g9
g10
NtRp93146
(dp93147
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93148
sbg8
(g9
g10
NtRp93149
(dp93150
g13
Nsg14
Nsg15
VFALSE
p93151
sbNNNNNNNg8
(g9
g10
NtRp93152
(dp93153
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93154
(dp93155
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93156
(dp93157
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-dk_2013
p93158
sbNNtp93159
a(g8
(g9
g10
NtRp93160
(dp93161
g13
Nsg14
Nsg15
Va2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f
p93162
sbNg8
(g9
g10
NtRp93163
(dp93164
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (100km), May 2013
p93165
sbNNNNNg8
(g9
g10
NtRp93166
(dp93167
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93168
sbNNg8
(g9
g10
NtRp93169
(dp93170
g13
Nsg14
Nsg15
VFALSE
p93171
sbNNNg8
(g9
g10
NtRp93172
(dp93173
g13
Nsg14
Nsg15
VFALSE
p93174
sbNNg8
(g9
g10
NtRp93175
(dp93176
g13
Nsg14
Nsg15
VFALSE
p93177
sbNNg8
(g9
g10
NtRp93178
(dp93179
g13
Nsg14
Nsg15
VFALSE
p93180
sbNg8
(g9
g10
NtRp93181
(dp93182
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f.png
p93183
sbg8
(g9
g10
NtRp93184
(dp93185
g13
Nsg14
Nsg15
VEPSG:3035
p93186
sbg8
(g9
g10
NtRp93187
(dp93188
g13
Nsg14
Nsg15
V2019-06-21
p93189
sbNg8
(g9
g10
NtRp93190
(dp93191
g13
Nsg14
Nsg15
VGeographical grid systems
p93192
sbg8
(g9
g10
NtRp93193
(dp93194
g13
Nsg14
Nsg15
Vgridding
p93195
sbg8
(g9
g10
NtRp93196
(dp93197
g13
Nsg14
Nsg15
Vvector
p93198
sbg8
(g9
g10
NtRp93199
(dp93200
g13
Nsg14
Nsg15
VSHP
p93201
sbNg8
(g9
g10
NtRp93202
(dp93203
g13
Nsg14
Nsg15
V100000m
p93204
sbNg8
(g9
g10
NtRp93205
(dp93206
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93207
sbg8
(g9
g10
NtRp93208
(dp93209
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f
p93210
sbg8
(g9
g10
NtRp93211
(dp93212
g13
Nsg14
g74
sg15
V2013
p93213
sbg8
(g9
g10
NtRp93214
(dp93215
g13
Nsg14
g74
sg15
V2013
p93216
sbg8
(g9
g10
NtRp93217
(dp93218
g13
Nsg14
Nsg15
VFALSE
p93219
sbg8
(g9
g10
NtRp93220
(dp93221
g13
Nsg14
Nsg15
VCroatia
p93222
sbg8
(g9
g10
NtRp93223
(dp93224
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93225
sbg8
(g9
g10
NtRp93226
(dp93227
g13
Nsg14
Nsg15
VFALSE
p93228
sbg8
(g9
g10
NtRp93229
(dp93230
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93231
sbg8
(g9
g10
NtRp93232
(dp93233
g13
Nsg14
Nsg15
VFALSE
p93234
sbNNNNNNNg8
(g9
g10
NtRp93235
(dp93236
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93237
(dp93238
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93239
(dp93240
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-hr_2013
p93241
sbNNtp93242
a(g8
(g9
g10
NtRp93243
(dp93244
g13
Nsg14
Nsg15
Vada072ce-a203-4e36-87f4-cbd021ab6435f
p93245
sbNg8
(g9
g10
NtRp93246
(dp93247
g13
Nsg14
Nsg15
VEEA reference grid for France (1km), May 2013
p93248
sbNNNNNg8
(g9
g10
NtRp93249
(dp93250
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93251
sbNNg8
(g9
g10
NtRp93252
(dp93253
g13
Nsg14
Nsg15
VFALSE
p93254
sbNNNg8
(g9
g10
NtRp93255
(dp93256
g13
Nsg14
Nsg15
VFALSE
p93257
sbNNg8
(g9
g10
NtRp93258
(dp93259
g13
Nsg14
Nsg15
VFALSE
p93260
sbNNg8
(g9
g10
NtRp93261
(dp93262
g13
Nsg14
Nsg15
VFALSE
p93263
sbNg8
(g9
g10
NtRp93264
(dp93265
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ada072ce-a203-4e36-87f4-cbd021ab6435f.png
p93266
sbg8
(g9
g10
NtRp93267
(dp93268
g13
Nsg14
Nsg15
VEPSG:3035
p93269
sbg8
(g9
g10
NtRp93270
(dp93271
g13
Nsg14
Nsg15
V2019-06-27
p93272
sbNg8
(g9
g10
NtRp93273
(dp93274
g13
Nsg14
Nsg15
VGeographical grid systems
p93275
sbg8
(g9
g10
NtRp93276
(dp93277
g13
Nsg14
Nsg15
Vgridding
p93278
sbg8
(g9
g10
NtRp93279
(dp93280
g13
Nsg14
Nsg15
Vvector
p93281
sbg8
(g9
g10
NtRp93282
(dp93283
g13
Nsg14
Nsg15
VSHP
p93284
sbNg8
(g9
g10
NtRp93285
(dp93286
g13
Nsg14
Nsg15
V1000m
p93287
sbNg8
(g9
g10
NtRp93288
(dp93289
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93290
sbg8
(g9
g10
NtRp93291
(dp93292
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ada072ce-a203-4e36-87f4-cbd021ab6435f
p93293
sbg8
(g9
g10
NtRp93294
(dp93295
g13
Nsg14
g74
sg15
V2013
p93296
sbg8
(g9
g10
NtRp93297
(dp93298
g13
Nsg14
g74
sg15
V2013
p93299
sbg8
(g9
g10
NtRp93300
(dp93301
g13
Nsg14
Nsg15
VFALSE
p93302
sbg8
(g9
g10
NtRp93303
(dp93304
g13
Nsg14
Nsg15
VFrance
p93305
sbg8
(g9
g10
NtRp93306
(dp93307
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93308
sbg8
(g9
g10
NtRp93309
(dp93310
g13
Nsg14
Nsg15
VFALSE
p93311
sbg8
(g9
g10
NtRp93312
(dp93313
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93314
sbg8
(g9
g10
NtRp93315
(dp93316
g13
Nsg14
Nsg15
VFALSE
p93317
sbNNNNNNNg8
(g9
g10
NtRp93318
(dp93319
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93320
(dp93321
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93322
(dp93323
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-fr_2013
p93324
sbNNtp93325
a(g8
(g9
g10
NtRp93326
(dp93327
g13
Nsg14
Nsg15
V43531f2a-d0cb-49ec-8bc0-567241591b4bf
p93328
sbNg8
(g9
g10
NtRp93329
(dp93330
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (100km), May 2013
p93331
sbNNNNNg8
(g9
g10
NtRp93332
(dp93333
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93334
sbNNg8
(g9
g10
NtRp93335
(dp93336
g13
Nsg14
Nsg15
VFALSE
p93337
sbNNNg8
(g9
g10
NtRp93338
(dp93339
g13
Nsg14
Nsg15
VFALSE
p93340
sbNNg8
(g9
g10
NtRp93341
(dp93342
g13
Nsg14
Nsg15
VFALSE
p93343
sbNNg8
(g9
g10
NtRp93344
(dp93345
g13
Nsg14
Nsg15
VFALSE
p93346
sbNg8
(g9
g10
NtRp93347
(dp93348
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/43531f2a-d0cb-49ec-8bc0-567241591b4bf.png
p93349
sbg8
(g9
g10
NtRp93350
(dp93351
g13
Nsg14
Nsg15
VEPSG:3035
p93352
sbg8
(g9
g10
NtRp93353
(dp93354
g13
Nsg14
Nsg15
V2019-07-01
p93355
sbNg8
(g9
g10
NtRp93356
(dp93357
g13
Nsg14
Nsg15
VGeographical grid systems
p93358
sbg8
(g9
g10
NtRp93359
(dp93360
g13
Nsg14
Nsg15
Vgridding
p93361
sbg8
(g9
g10
NtRp93362
(dp93363
g13
Nsg14
Nsg15
Vvector
p93364
sbg8
(g9
g10
NtRp93365
(dp93366
g13
Nsg14
Nsg15
VSHP
p93367
sbNg8
(g9
g10
NtRp93368
(dp93369
g13
Nsg14
Nsg15
V100000m
p93370
sbNg8
(g9
g10
NtRp93371
(dp93372
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93373
sbg8
(g9
g10
NtRp93374
(dp93375
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43531f2a-d0cb-49ec-8bc0-567241591b4bf
p93376
sbg8
(g9
g10
NtRp93377
(dp93378
g13
Nsg14
g74
sg15
V2013
p93379
sbg8
(g9
g10
NtRp93380
(dp93381
g13
Nsg14
g74
sg15
V2013
p93382
sbg8
(g9
g10
NtRp93383
(dp93384
g13
Nsg14
Nsg15
VFALSE
p93385
sbg8
(g9
g10
NtRp93386
(dp93387
g13
Nsg14
Nsg15
VLuxembourg
p93388
sbg8
(g9
g10
NtRp93389
(dp93390
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93391
sbg8
(g9
g10
NtRp93392
(dp93393
g13
Nsg14
Nsg15
VFALSE
p93394
sbg8
(g9
g10
NtRp93395
(dp93396
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93397
sbg8
(g9
g10
NtRp93398
(dp93399
g13
Nsg14
Nsg15
VFALSE
p93400
sbNNNNNNNg8
(g9
g10
NtRp93401
(dp93402
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93403
(dp93404
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93405
(dp93406
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lu_2013
p93407
sbNNtp93408
a(g8
(g9
g10
NtRp93409
(dp93410
g13
Nsg14
Nsg15
V7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf
p93411
sbNg8
(g9
g10
NtRp93412
(dp93413
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (10km), May 2013
p93414
sbNNNNNg8
(g9
g10
NtRp93415
(dp93416
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93417
sbNNg8
(g9
g10
NtRp93418
(dp93419
g13
Nsg14
Nsg15
VFALSE
p93420
sbNNNg8
(g9
g10
NtRp93421
(dp93422
g13
Nsg14
Nsg15
VFALSE
p93423
sbNNg8
(g9
g10
NtRp93424
(dp93425
g13
Nsg14
Nsg15
VFALSE
p93426
sbNNg8
(g9
g10
NtRp93427
(dp93428
g13
Nsg14
Nsg15
VFALSE
p93429
sbNg8
(g9
g10
NtRp93430
(dp93431
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf.png
p93432
sbg8
(g9
g10
NtRp93433
(dp93434
g13
Nsg14
Nsg15
VEPSG:3035
p93435
sbg8
(g9
g10
NtRp93436
(dp93437
g13
Nsg14
Nsg15
V2019-07-01
p93438
sbNg8
(g9
g10
NtRp93439
(dp93440
g13
Nsg14
Nsg15
VGeographical grid systems
p93441
sbg8
(g9
g10
NtRp93442
(dp93443
g13
Nsg14
Nsg15
Vgridding
p93444
sbg8
(g9
g10
NtRp93445
(dp93446
g13
Nsg14
Nsg15
Vvector
p93447
sbg8
(g9
g10
NtRp93448
(dp93449
g13
Nsg14
Nsg15
VSHP
p93450
sbNg8
(g9
g10
NtRp93451
(dp93452
g13
Nsg14
Nsg15
V10000m
p93453
sbNg8
(g9
g10
NtRp93454
(dp93455
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93456
sbg8
(g9
g10
NtRp93457
(dp93458
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf
p93459
sbg8
(g9
g10
NtRp93460
(dp93461
g13
Nsg14
g74
sg15
V2013
p93462
sbg8
(g9
g10
NtRp93463
(dp93464
g13
Nsg14
g74
sg15
V2013
p93465
sbg8
(g9
g10
NtRp93466
(dp93467
g13
Nsg14
Nsg15
VFALSE
p93468
sbg8
(g9
g10
NtRp93469
(dp93470
g13
Nsg14
Nsg15
VLuxembourg
p93471
sbg8
(g9
g10
NtRp93472
(dp93473
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93474
sbg8
(g9
g10
NtRp93475
(dp93476
g13
Nsg14
Nsg15
VFALSE
p93477
sbg8
(g9
g10
NtRp93478
(dp93479
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93480
sbg8
(g9
g10
NtRp93481
(dp93482
g13
Nsg14
Nsg15
VFALSE
p93483
sbNNNNNNNg8
(g9
g10
NtRp93484
(dp93485
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93486
(dp93487
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93488
(dp93489
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-lu_2013
p93490
sbNNtp93491
a(g8
(g9
g10
NtRp93492
(dp93493
g13
Nsg14
Nsg15
Vbf9d3e68-3f99-4851-8179-3ba3aad493bff
p93494
sbNg8
(g9
g10
NtRp93495
(dp93496
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (1km), May 2013
p93497
sbNNNNNg8
(g9
g10
NtRp93498
(dp93499
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93500
sbNNg8
(g9
g10
NtRp93501
(dp93502
g13
Nsg14
Nsg15
VFALSE
p93503
sbNNNg8
(g9
g10
NtRp93504
(dp93505
g13
Nsg14
Nsg15
VFALSE
p93506
sbNNg8
(g9
g10
NtRp93507
(dp93508
g13
Nsg14
Nsg15
VFALSE
p93509
sbNNg8
(g9
g10
NtRp93510
(dp93511
g13
Nsg14
Nsg15
VFALSE
p93512
sbNg8
(g9
g10
NtRp93513
(dp93514
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf9d3e68-3f99-4851-8179-3ba3aad493bff.png
p93515
sbg8
(g9
g10
NtRp93516
(dp93517
g13
Nsg14
Nsg15
VEPSG:3035
p93518
sbg8
(g9
g10
NtRp93519
(dp93520
g13
Nsg14
Nsg15
V2019-07-01
p93521
sbNg8
(g9
g10
NtRp93522
(dp93523
g13
Nsg14
Nsg15
VGeographical grid systems
p93524
sbg8
(g9
g10
NtRp93525
(dp93526
g13
Nsg14
Nsg15
Vgridding
p93527
sbg8
(g9
g10
NtRp93528
(dp93529
g13
Nsg14
Nsg15
Vvector
p93530
sbg8
(g9
g10
NtRp93531
(dp93532
g13
Nsg14
Nsg15
VSHP
p93533
sbNg8
(g9
g10
NtRp93534
(dp93535
g13
Nsg14
Nsg15
V1000m
p93536
sbNg8
(g9
g10
NtRp93537
(dp93538
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93539
sbg8
(g9
g10
NtRp93540
(dp93541
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf9d3e68-3f99-4851-8179-3ba3aad493bff
p93542
sbg8
(g9
g10
NtRp93543
(dp93544
g13
Nsg14
g74
sg15
V2013
p93545
sbg8
(g9
g10
NtRp93546
(dp93547
g13
Nsg14
g74
sg15
V2013
p93548
sbg8
(g9
g10
NtRp93549
(dp93550
g13
Nsg14
Nsg15
VFALSE
p93551
sbg8
(g9
g10
NtRp93552
(dp93553
g13
Nsg14
Nsg15
VKosovo
p93554
sbg8
(g9
g10
NtRp93555
(dp93556
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93557
sbg8
(g9
g10
NtRp93558
(dp93559
g13
Nsg14
Nsg15
VFALSE
p93560
sbg8
(g9
g10
NtRp93561
(dp93562
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93563
sbg8
(g9
g10
NtRp93564
(dp93565
g13
Nsg14
Nsg15
VFALSE
p93566
sbNNNNNNNg8
(g9
g10
NtRp93567
(dp93568
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93569
(dp93570
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93571
(dp93572
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-xk_2013
p93573
sbNNtp93574
a(g8
(g9
g10
NtRp93575
(dp93576
g13
Nsg14
Nsg15
Vad349ff5-1683-4e06-8892-7ed00fdcacdef
p93577
sbNg8
(g9
g10
NtRp93578
(dp93579
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (1km), May 2013
p93580
sbNNNNNg8
(g9
g10
NtRp93581
(dp93582
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93583
sbNNg8
(g9
g10
NtRp93584
(dp93585
g13
Nsg14
Nsg15
VFALSE
p93586
sbNNNg8
(g9
g10
NtRp93587
(dp93588
g13
Nsg14
Nsg15
VFALSE
p93589
sbNNg8
(g9
g10
NtRp93590
(dp93591
g13
Nsg14
Nsg15
VFALSE
p93592
sbNNg8
(g9
g10
NtRp93593
(dp93594
g13
Nsg14
Nsg15
VFALSE
p93595
sbNg8
(g9
g10
NtRp93596
(dp93597
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad349ff5-1683-4e06-8892-7ed00fdcacdef.png
p93598
sbg8
(g9
g10
NtRp93599
(dp93600
g13
Nsg14
Nsg15
VEPSG:3035
p93601
sbg8
(g9
g10
NtRp93602
(dp93603
g13
Nsg14
Nsg15
V2019-07-02
p93604
sbNg8
(g9
g10
NtRp93605
(dp93606
g13
Nsg14
Nsg15
VGeographical grid systems
p93607
sbg8
(g9
g10
NtRp93608
(dp93609
g13
Nsg14
Nsg15
Vgridding
p93610
sbg8
(g9
g10
NtRp93611
(dp93612
g13
Nsg14
Nsg15
Vvector
p93613
sbg8
(g9
g10
NtRp93614
(dp93615
g13
Nsg14
Nsg15
VSHP
p93616
sbNg8
(g9
g10
NtRp93617
(dp93618
g13
Nsg14
Nsg15
V1000m
p93619
sbNg8
(g9
g10
NtRp93620
(dp93621
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93622
sbg8
(g9
g10
NtRp93623
(dp93624
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad349ff5-1683-4e06-8892-7ed00fdcacdef
p93625
sbg8
(g9
g10
NtRp93626
(dp93627
g13
Nsg14
g74
sg15
V2013
p93628
sbg8
(g9
g10
NtRp93629
(dp93630
g13
Nsg14
g74
sg15
V2013
p93631
sbg8
(g9
g10
NtRp93632
(dp93633
g13
Nsg14
Nsg15
VFALSE
p93634
sbg8
(g9
g10
NtRp93635
(dp93636
g13
Nsg14
Nsg15
VNetherlands
p93637
sbg8
(g9
g10
NtRp93638
(dp93639
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93640
sbg8
(g9
g10
NtRp93641
(dp93642
g13
Nsg14
Nsg15
VFALSE
p93643
sbg8
(g9
g10
NtRp93644
(dp93645
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93646
sbg8
(g9
g10
NtRp93647
(dp93648
g13
Nsg14
Nsg15
VFALSE
p93649
sbNNNNNNNg8
(g9
g10
NtRp93650
(dp93651
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93652
(dp93653
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93654
(dp93655
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-nl_2013
p93656
sbNNtp93657
a(g8
(g9
g10
NtRp93658
(dp93659
g13
Nsg14
Nsg15
Vb55f8c0b-9ba2-419c-8d6c-b2b77ba771fff
p93660
sbNg8
(g9
g10
NtRp93661
(dp93662
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (1km), May 2013
p93663
sbNNNNNg8
(g9
g10
NtRp93664
(dp93665
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93666
sbNNg8
(g9
g10
NtRp93667
(dp93668
g13
Nsg14
Nsg15
VFALSE
p93669
sbNNNg8
(g9
g10
NtRp93670
(dp93671
g13
Nsg14
Nsg15
VFALSE
p93672
sbNNg8
(g9
g10
NtRp93673
(dp93674
g13
Nsg14
Nsg15
VFALSE
p93675
sbNNg8
(g9
g10
NtRp93676
(dp93677
g13
Nsg14
Nsg15
VFALSE
p93678
sbNg8
(g9
g10
NtRp93679
(dp93680
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55f8c0b-9ba2-419c-8d6c-b2b77ba771fff.png
p93681
sbg8
(g9
g10
NtRp93682
(dp93683
g13
Nsg14
Nsg15
VEPSG:3035
p93684
sbg8
(g9
g10
NtRp93685
(dp93686
g13
Nsg14
Nsg15
V2019-06-21
p93687
sbNg8
(g9
g10
NtRp93688
(dp93689
g13
Nsg14
Nsg15
VGeographical grid systems
p93690
sbg8
(g9
g10
NtRp93691
(dp93692
g13
Nsg14
Nsg15
Vgridding
p93693
sbg8
(g9
g10
NtRp93694
(dp93695
g13
Nsg14
Nsg15
Vvector
p93696
sbg8
(g9
g10
NtRp93697
(dp93698
g13
Nsg14
Nsg15
VSHP
p93699
sbNg8
(g9
g10
NtRp93700
(dp93701
g13
Nsg14
Nsg15
V1000m
p93702
sbNg8
(g9
g10
NtRp93703
(dp93704
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93705
sbg8
(g9
g10
NtRp93706
(dp93707
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55f8c0b-9ba2-419c-8d6c-b2b77ba771fff
p93708
sbg8
(g9
g10
NtRp93709
(dp93710
g13
Nsg14
g74
sg15
V2013
p93711
sbg8
(g9
g10
NtRp93712
(dp93713
g13
Nsg14
g74
sg15
V2013
p93714
sbg8
(g9
g10
NtRp93715
(dp93716
g13
Nsg14
Nsg15
VFALSE
p93717
sbg8
(g9
g10
NtRp93718
(dp93719
g13
Nsg14
Nsg15
VCroatia
p93720
sbg8
(g9
g10
NtRp93721
(dp93722
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93723
sbg8
(g9
g10
NtRp93724
(dp93725
g13
Nsg14
Nsg15
VFALSE
p93726
sbg8
(g9
g10
NtRp93727
(dp93728
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93729
sbg8
(g9
g10
NtRp93730
(dp93731
g13
Nsg14
Nsg15
VFALSE
p93732
sbNNNNNNNg8
(g9
g10
NtRp93733
(dp93734
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93735
(dp93736
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93737
(dp93738
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-hr_2013
p93739
sbNNtp93740
a(g8
(g9
g10
NtRp93741
(dp93742
g13
Nsg14
Nsg15
Vcbe9c2cf-e885-4965-8935-7ffb2e2a3e80f
p93743
sbNg8
(g9
g10
NtRp93744
(dp93745
g13
Nsg14
Nsg15
VEEA reference grid for Netherlands (10km), May 2013
p93746
sbNNNNNg8
(g9
g10
NtRp93747
(dp93748
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93749
sbNNg8
(g9
g10
NtRp93750
(dp93751
g13
Nsg14
Nsg15
VFALSE
p93752
sbNNNg8
(g9
g10
NtRp93753
(dp93754
g13
Nsg14
Nsg15
VFALSE
p93755
sbNNg8
(g9
g10
NtRp93756
(dp93757
g13
Nsg14
Nsg15
VFALSE
p93758
sbNNg8
(g9
g10
NtRp93759
(dp93760
g13
Nsg14
Nsg15
VFALSE
p93761
sbNg8
(g9
g10
NtRp93762
(dp93763
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80f.png
p93764
sbg8
(g9
g10
NtRp93765
(dp93766
g13
Nsg14
Nsg15
VEPSG:3035
p93767
sbg8
(g9
g10
NtRp93768
(dp93769
g13
Nsg14
Nsg15
V2019-07-01
p93770
sbNg8
(g9
g10
NtRp93771
(dp93772
g13
Nsg14
Nsg15
VGeographical grid systems
p93773
sbg8
(g9
g10
NtRp93774
(dp93775
g13
Nsg14
Nsg15
Vgridding
p93776
sbg8
(g9
g10
NtRp93777
(dp93778
g13
Nsg14
Nsg15
Vvector
p93779
sbg8
(g9
g10
NtRp93780
(dp93781
g13
Nsg14
Nsg15
VSHP
p93782
sbNg8
(g9
g10
NtRp93783
(dp93784
g13
Nsg14
Nsg15
V10000m
p93785
sbNg8
(g9
g10
NtRp93786
(dp93787
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93788
sbg8
(g9
g10
NtRp93789
(dp93790
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80f
p93791
sbg8
(g9
g10
NtRp93792
(dp93793
g13
Nsg14
g74
sg15
V2013
p93794
sbg8
(g9
g10
NtRp93795
(dp93796
g13
Nsg14
g74
sg15
V2013
p93797
sbg8
(g9
g10
NtRp93798
(dp93799
g13
Nsg14
Nsg15
VFALSE
p93800
sbg8
(g9
g10
NtRp93801
(dp93802
g13
Nsg14
Nsg15
VNetherlands
p93803
sbg8
(g9
g10
NtRp93804
(dp93805
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93806
sbg8
(g9
g10
NtRp93807
(dp93808
g13
Nsg14
Nsg15
VFALSE
p93809
sbg8
(g9
g10
NtRp93810
(dp93811
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93812
sbg8
(g9
g10
NtRp93813
(dp93814
g13
Nsg14
Nsg15
VFALSE
p93815
sbNNNNNNNg8
(g9
g10
NtRp93816
(dp93817
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93818
(dp93819
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93820
(dp93821
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-nl_2013
p93822
sbNNtp93823
a(g8
(g9
g10
NtRp93824
(dp93825
g13
Nsg14
Nsg15
Vef0c1052-6405-4f1d-ae58-9d6e2acae96af
p93826
sbNg8
(g9
g10
NtRp93827
(dp93828
g13
Nsg14
Nsg15
VEEA reference grid for Malta (100km), May 2013
p93829
sbNNNNNg8
(g9
g10
NtRp93830
(dp93831
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93832
sbNNg8
(g9
g10
NtRp93833
(dp93834
g13
Nsg14
Nsg15
VFALSE
p93835
sbNNNg8
(g9
g10
NtRp93836
(dp93837
g13
Nsg14
Nsg15
VFALSE
p93838
sbNNg8
(g9
g10
NtRp93839
(dp93840
g13
Nsg14
Nsg15
VFALSE
p93841
sbNNg8
(g9
g10
NtRp93842
(dp93843
g13
Nsg14
Nsg15
VFALSE
p93844
sbNg8
(g9
g10
NtRp93845
(dp93846
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef0c1052-6405-4f1d-ae58-9d6e2acae96af.png
p93847
sbg8
(g9
g10
NtRp93848
(dp93849
g13
Nsg14
Nsg15
VEPSG:3035
p93850
sbg8
(g9
g10
NtRp93851
(dp93852
g13
Nsg14
Nsg15
V2019-07-01
p93853
sbNg8
(g9
g10
NtRp93854
(dp93855
g13
Nsg14
Nsg15
VGeographical grid systems
p93856
sbg8
(g9
g10
NtRp93857
(dp93858
g13
Nsg14
Nsg15
Vgridding
p93859
sbg8
(g9
g10
NtRp93860
(dp93861
g13
Nsg14
Nsg15
Vvector
p93862
sbg8
(g9
g10
NtRp93863
(dp93864
g13
Nsg14
Nsg15
VSHP
p93865
sbNg8
(g9
g10
NtRp93866
(dp93867
g13
Nsg14
Nsg15
V100000m
p93868
sbNg8
(g9
g10
NtRp93869
(dp93870
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93871
sbg8
(g9
g10
NtRp93872
(dp93873
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef0c1052-6405-4f1d-ae58-9d6e2acae96af
p93874
sbg8
(g9
g10
NtRp93875
(dp93876
g13
Nsg14
g74
sg15
V2013
p93877
sbg8
(g9
g10
NtRp93878
(dp93879
g13
Nsg14
g74
sg15
V2013
p93880
sbg8
(g9
g10
NtRp93881
(dp93882
g13
Nsg14
Nsg15
VFALSE
p93883
sbg8
(g9
g10
NtRp93884
(dp93885
g13
Nsg14
Nsg15
VMalta
p93886
sbg8
(g9
g10
NtRp93887
(dp93888
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93889
sbg8
(g9
g10
NtRp93890
(dp93891
g13
Nsg14
Nsg15
VFALSE
p93892
sbg8
(g9
g10
NtRp93893
(dp93894
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93895
sbg8
(g9
g10
NtRp93896
(dp93897
g13
Nsg14
Nsg15
VFALSE
p93898
sbNNNNNNNg8
(g9
g10
NtRp93899
(dp93900
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93901
(dp93902
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93903
(dp93904
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-mt_2013
p93905
sbNNtp93906
a(g8
(g9
g10
NtRp93907
(dp93908
g13
Nsg14
Nsg15
V92d559f7-abfc-4bc6-86dd-cc56a4467fb0f
p93909
sbNg8
(g9
g10
NtRp93910
(dp93911
g13
Nsg14
Nsg15
VEEA reference grid for Slovenia (100km), May 2013
p93912
sbNNNNNg8
(g9
g10
NtRp93913
(dp93914
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93915
sbNNg8
(g9
g10
NtRp93916
(dp93917
g13
Nsg14
Nsg15
VFALSE
p93918
sbNNNg8
(g9
g10
NtRp93919
(dp93920
g13
Nsg14
Nsg15
VFALSE
p93921
sbNNg8
(g9
g10
NtRp93922
(dp93923
g13
Nsg14
Nsg15
VFALSE
p93924
sbNNg8
(g9
g10
NtRp93925
(dp93926
g13
Nsg14
Nsg15
VFALSE
p93927
sbNg8
(g9
g10
NtRp93928
(dp93929
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/92d559f7-abfc-4bc6-86dd-cc56a4467fb0f.png
p93930
sbg8
(g9
g10
NtRp93931
(dp93932
g13
Nsg14
Nsg15
VEPSG:3035
p93933
sbg8
(g9
g10
NtRp93934
(dp93935
g13
Nsg14
Nsg15
V2019-07-02
p93936
sbNg8
(g9
g10
NtRp93937
(dp93938
g13
Nsg14
Nsg15
VGeographical grid systems
p93939
sbg8
(g9
g10
NtRp93940
(dp93941
g13
Nsg14
Nsg15
Vgridding
p93942
sbg8
(g9
g10
NtRp93943
(dp93944
g13
Nsg14
Nsg15
Vvector
p93945
sbg8
(g9
g10
NtRp93946
(dp93947
g13
Nsg14
Nsg15
VSHP
p93948
sbNg8
(g9
g10
NtRp93949
(dp93950
g13
Nsg14
Nsg15
V100000m
p93951
sbNg8
(g9
g10
NtRp93952
(dp93953
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p93954
sbg8
(g9
g10
NtRp93955
(dp93956
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92d559f7-abfc-4bc6-86dd-cc56a4467fb0f
p93957
sbg8
(g9
g10
NtRp93958
(dp93959
g13
Nsg14
g74
sg15
V2013
p93960
sbg8
(g9
g10
NtRp93961
(dp93962
g13
Nsg14
g74
sg15
V2013
p93963
sbg8
(g9
g10
NtRp93964
(dp93965
g13
Nsg14
Nsg15
VFALSE
p93966
sbg8
(g9
g10
NtRp93967
(dp93968
g13
Nsg14
Nsg15
VSlovenia
p93969
sbg8
(g9
g10
NtRp93970
(dp93971
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p93972
sbg8
(g9
g10
NtRp93973
(dp93974
g13
Nsg14
Nsg15
VFALSE
p93975
sbg8
(g9
g10
NtRp93976
(dp93977
g13
Nsg14
Nsg15
VEuropean Environment Agency
p93978
sbg8
(g9
g10
NtRp93979
(dp93980
g13
Nsg14
Nsg15
VFALSE
p93981
sbNNNNNNNg8
(g9
g10
NtRp93982
(dp93983
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp93984
(dp93985
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp93986
(dp93987
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-si_2013
p93988
sbNNtp93989
a(g8
(g9
g10
NtRp93990
(dp93991
g13
Nsg14
Nsg15
V9e80fdac-a518-462b-942b-82701035c079f
p93992
sbNg8
(g9
g10
NtRp93993
(dp93994
g13
Nsg14
Nsg15
VEEA reference grid for Czech Republic (1km), May 2013
p93995
sbNNNNNg8
(g9
g10
NtRp93996
(dp93997
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p93998
sbNNg8
(g9
g10
NtRp93999
(dp94000
g13
Nsg14
Nsg15
VFALSE
p94001
sbNNNg8
(g9
g10
NtRp94002
(dp94003
g13
Nsg14
Nsg15
VFALSE
p94004
sbNNg8
(g9
g10
NtRp94005
(dp94006
g13
Nsg14
Nsg15
VFALSE
p94007
sbNNg8
(g9
g10
NtRp94008
(dp94009
g13
Nsg14
Nsg15
VFALSE
p94010
sbNg8
(g9
g10
NtRp94011
(dp94012
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e80fdac-a518-462b-942b-82701035c079f.png
p94013
sbg8
(g9
g10
NtRp94014
(dp94015
g13
Nsg14
Nsg15
VEPSG:3035
p94016
sbg8
(g9
g10
NtRp94017
(dp94018
g13
Nsg14
Nsg15
V2019-06-21
p94019
sbNg8
(g9
g10
NtRp94020
(dp94021
g13
Nsg14
Nsg15
VGeographical grid systems
p94022
sbg8
(g9
g10
NtRp94023
(dp94024
g13
Nsg14
Nsg15
Vgridding
p94025
sbg8
(g9
g10
NtRp94026
(dp94027
g13
Nsg14
Nsg15
Vvector
p94028
sbg8
(g9
g10
NtRp94029
(dp94030
g13
Nsg14
Nsg15
VSHP
p94031
sbNg8
(g9
g10
NtRp94032
(dp94033
g13
Nsg14
Nsg15
V1000m
p94034
sbNg8
(g9
g10
NtRp94035
(dp94036
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94037
sbg8
(g9
g10
NtRp94038
(dp94039
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e80fdac-a518-462b-942b-82701035c079f
p94040
sbg8
(g9
g10
NtRp94041
(dp94042
g13
Nsg14
g74
sg15
V2013
p94043
sbg8
(g9
g10
NtRp94044
(dp94045
g13
Nsg14
g74
sg15
V2013
p94046
sbg8
(g9
g10
NtRp94047
(dp94048
g13
Nsg14
Nsg15
VFALSE
p94049
sbg8
(g9
g10
NtRp94050
(dp94051
g13
Nsg14
Nsg15
VCzechia
p94052
sbg8
(g9
g10
NtRp94053
(dp94054
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94055
sbg8
(g9
g10
NtRp94056
(dp94057
g13
Nsg14
Nsg15
VFALSE
p94058
sbg8
(g9
g10
NtRp94059
(dp94060
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94061
sbg8
(g9
g10
NtRp94062
(dp94063
g13
Nsg14
Nsg15
VFALSE
p94064
sbNNNNNNNg8
(g9
g10
NtRp94065
(dp94066
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94067
(dp94068
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94069
(dp94070
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-cz_2013
p94071
sbNNtp94072
a(g8
(g9
g10
NtRp94073
(dp94074
g13
Nsg14
Nsg15
Vc95d15fb-d98c-4972-a9f0-d54742ffcf71f
p94075
sbNg8
(g9
g10
NtRp94076
(dp94077
g13
Nsg14
Nsg15
VEEA reference grid for Lithuania (1km), May 2013
p94078
sbNNNNNg8
(g9
g10
NtRp94079
(dp94080
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94081
sbNNg8
(g9
g10
NtRp94082
(dp94083
g13
Nsg14
Nsg15
VFALSE
p94084
sbNNNg8
(g9
g10
NtRp94085
(dp94086
g13
Nsg14
Nsg15
VFALSE
p94087
sbNNg8
(g9
g10
NtRp94088
(dp94089
g13
Nsg14
Nsg15
VFALSE
p94090
sbNNg8
(g9
g10
NtRp94091
(dp94092
g13
Nsg14
Nsg15
VFALSE
p94093
sbNg8
(g9
g10
NtRp94094
(dp94095
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c95d15fb-d98c-4972-a9f0-d54742ffcf71f.png
p94096
sbg8
(g9
g10
NtRp94097
(dp94098
g13
Nsg14
Nsg15
VEPSG:3035
p94099
sbg8
(g9
g10
NtRp94100
(dp94101
g13
Nsg14
Nsg15
V2019-07-01
p94102
sbNg8
(g9
g10
NtRp94103
(dp94104
g13
Nsg14
Nsg15
VGeographical grid systems
p94105
sbg8
(g9
g10
NtRp94106
(dp94107
g13
Nsg14
Nsg15
Vgridding
p94108
sbg8
(g9
g10
NtRp94109
(dp94110
g13
Nsg14
Nsg15
Vvector
p94111
sbg8
(g9
g10
NtRp94112
(dp94113
g13
Nsg14
Nsg15
VSHP
p94114
sbNg8
(g9
g10
NtRp94115
(dp94116
g13
Nsg14
Nsg15
V1000m
p94117
sbNg8
(g9
g10
NtRp94118
(dp94119
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94120
sbg8
(g9
g10
NtRp94121
(dp94122
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c95d15fb-d98c-4972-a9f0-d54742ffcf71f
p94123
sbg8
(g9
g10
NtRp94124
(dp94125
g13
Nsg14
g74
sg15
V2013
p94126
sbg8
(g9
g10
NtRp94127
(dp94128
g13
Nsg14
g74
sg15
V2013
p94129
sbg8
(g9
g10
NtRp94130
(dp94131
g13
Nsg14
Nsg15
VFALSE
p94132
sbg8
(g9
g10
NtRp94133
(dp94134
g13
Nsg14
Nsg15
VLithuania
p94135
sbg8
(g9
g10
NtRp94136
(dp94137
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94138
sbg8
(g9
g10
NtRp94139
(dp94140
g13
Nsg14
Nsg15
VFALSE
p94141
sbg8
(g9
g10
NtRp94142
(dp94143
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94144
sbg8
(g9
g10
NtRp94145
(dp94146
g13
Nsg14
Nsg15
VFALSE
p94147
sbNNNNNNNg8
(g9
g10
NtRp94148
(dp94149
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94150
(dp94151
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94152
(dp94153
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lt_2013
p94154
sbNNtp94155
a(g8
(g9
g10
NtRp94156
(dp94157
g13
Nsg14
Nsg15
V6aa829af-26f1-4f60-8073-f3704be4b422f
p94158
sbNg8
(g9
g10
NtRp94159
(dp94160
g13
Nsg14
Nsg15
VEEA reference grid for Luxembourg (1km), May 2013
p94161
sbNNNNNg8
(g9
g10
NtRp94162
(dp94163
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94164
sbNNg8
(g9
g10
NtRp94165
(dp94166
g13
Nsg14
Nsg15
VFALSE
p94167
sbNNNg8
(g9
g10
NtRp94168
(dp94169
g13
Nsg14
Nsg15
VFALSE
p94170
sbNNg8
(g9
g10
NtRp94171
(dp94172
g13
Nsg14
Nsg15
VFALSE
p94173
sbNNg8
(g9
g10
NtRp94174
(dp94175
g13
Nsg14
Nsg15
VFALSE
p94176
sbNg8
(g9
g10
NtRp94177
(dp94178
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6aa829af-26f1-4f60-8073-f3704be4b422f.png
p94179
sbg8
(g9
g10
NtRp94180
(dp94181
g13
Nsg14
Nsg15
VEPSG:3035
p94182
sbg8
(g9
g10
NtRp94183
(dp94184
g13
Nsg14
Nsg15
V2019-07-01
p94185
sbNg8
(g9
g10
NtRp94186
(dp94187
g13
Nsg14
Nsg15
VGeographical grid systems
p94188
sbg8
(g9
g10
NtRp94189
(dp94190
g13
Nsg14
Nsg15
Vgridding
p94191
sbg8
(g9
g10
NtRp94192
(dp94193
g13
Nsg14
Nsg15
Vvector
p94194
sbg8
(g9
g10
NtRp94195
(dp94196
g13
Nsg14
Nsg15
VSHP
p94197
sbNg8
(g9
g10
NtRp94198
(dp94199
g13
Nsg14
Nsg15
V1000m
p94200
sbNg8
(g9
g10
NtRp94201
(dp94202
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94203
sbg8
(g9
g10
NtRp94204
(dp94205
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6aa829af-26f1-4f60-8073-f3704be4b422f
p94206
sbg8
(g9
g10
NtRp94207
(dp94208
g13
Nsg14
g74
sg15
V2013
p94209
sbg8
(g9
g10
NtRp94210
(dp94211
g13
Nsg14
g74
sg15
V2013
p94212
sbg8
(g9
g10
NtRp94213
(dp94214
g13
Nsg14
Nsg15
VFALSE
p94215
sbg8
(g9
g10
NtRp94216
(dp94217
g13
Nsg14
Nsg15
VLuxembourg
p94218
sbg8
(g9
g10
NtRp94219
(dp94220
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94221
sbg8
(g9
g10
NtRp94222
(dp94223
g13
Nsg14
Nsg15
VFALSE
p94224
sbg8
(g9
g10
NtRp94225
(dp94226
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94227
sbg8
(g9
g10
NtRp94228
(dp94229
g13
Nsg14
Nsg15
VFALSE
p94230
sbNNNNNNNg8
(g9
g10
NtRp94231
(dp94232
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94233
(dp94234
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94235
(dp94236
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-lu_2013
p94237
sbNNtp94238
a(g8
(g9
g10
NtRp94239
(dp94240
g13
Nsg14
Nsg15
Vbfd48dec-2424-421b-81fc-19021ef81c46f
p94241
sbNg8
(g9
g10
NtRp94242
(dp94243
g13
Nsg14
Nsg15
VEEA reference grid for Serbia (10km), May 2013
p94244
sbNNNNNg8
(g9
g10
NtRp94245
(dp94246
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94247
sbNNg8
(g9
g10
NtRp94248
(dp94249
g13
Nsg14
Nsg15
VFALSE
p94250
sbNNNg8
(g9
g10
NtRp94251
(dp94252
g13
Nsg14
Nsg15
VFALSE
p94253
sbNNg8
(g9
g10
NtRp94254
(dp94255
g13
Nsg14
Nsg15
VFALSE
p94256
sbNNg8
(g9
g10
NtRp94257
(dp94258
g13
Nsg14
Nsg15
VFALSE
p94259
sbNg8
(g9
g10
NtRp94260
(dp94261
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfd48dec-2424-421b-81fc-19021ef81c46f.png
p94262
sbg8
(g9
g10
NtRp94263
(dp94264
g13
Nsg14
Nsg15
VEPSG:3035
p94265
sbg8
(g9
g10
NtRp94266
(dp94267
g13
Nsg14
Nsg15
V2019-07-02
p94268
sbNg8
(g9
g10
NtRp94269
(dp94270
g13
Nsg14
Nsg15
VGeographical grid systems
p94271
sbg8
(g9
g10
NtRp94272
(dp94273
g13
Nsg14
Nsg15
Vgridding
p94274
sbg8
(g9
g10
NtRp94275
(dp94276
g13
Nsg14
Nsg15
Vvector
p94277
sbg8
(g9
g10
NtRp94278
(dp94279
g13
Nsg14
Nsg15
VSHP
p94280
sbNg8
(g9
g10
NtRp94281
(dp94282
g13
Nsg14
Nsg15
V10000m
p94283
sbNg8
(g9
g10
NtRp94284
(dp94285
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94286
sbg8
(g9
g10
NtRp94287
(dp94288
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfd48dec-2424-421b-81fc-19021ef81c46f
p94289
sbg8
(g9
g10
NtRp94290
(dp94291
g13
Nsg14
g74
sg15
V2013
p94292
sbg8
(g9
g10
NtRp94293
(dp94294
g13
Nsg14
g74
sg15
V2013
p94295
sbg8
(g9
g10
NtRp94296
(dp94297
g13
Nsg14
Nsg15
VFALSE
p94298
sbg8
(g9
g10
NtRp94299
(dp94300
g13
Nsg14
Nsg15
VSerbia
p94301
sbg8
(g9
g10
NtRp94302
(dp94303
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94304
sbg8
(g9
g10
NtRp94305
(dp94306
g13
Nsg14
Nsg15
VFALSE
p94307
sbg8
(g9
g10
NtRp94308
(dp94309
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94310
sbg8
(g9
g10
NtRp94311
(dp94312
g13
Nsg14
Nsg15
VFALSE
p94313
sbNNNNNNNg8
(g9
g10
NtRp94314
(dp94315
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94316
(dp94317
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94318
(dp94319
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-rs_2013
p94320
sbNNtp94321
a(g8
(g9
g10
NtRp94322
(dp94323
g13
Nsg14
Nsg15
V799f353c-d074-47c3-9783-7e246c036a1b
p94324
sbNg8
(g9
g10
NtRp94325
(dp94326
g13
Nsg14
Nsg15
VGeographic Information System of the European Commission (GISCO), Jul. 2018
p94327
sbNNNNNg8
(g9
g10
NtRp94328
(dp94329
g13
Nsg14
Nsg15
VGISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at three levels: the European Union, its member countries, and its regions.\u000a\u000aIn addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. \u000a\u000aThis metadata refers to the whole content of GISCO reference database extracted in July 2018, which contains both public datasets and datasets to be used only internally by the EEA. The document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document "LicenseConditions_EuroGeographics.pdf".   \u000a\u000aThe database is provided in GDB and in SQLITE, with datasets at scales from 1:60M to 1:100K, with reference years spanning until 2016. The database manual, a file with the content of the database, and a document with the naming conventions are also provided with the database. For particular datasets extracted from this database (e.g. NUTS 2016, COUNTRIES 2016) please refer to the associated resources in the EEA SDI catalogue. \u000a\u000aNOTE: This metadata file is only for internal EEA purposes and in no case replaces the official metadata provided by Eurostat.
p94330
sbNNg8
(g9
g10
NtRp94331
(dp94332
g13
Nsg14
Nsg15
VFALSE
p94333
sbNNNg8
(g9
g10
NtRp94334
(dp94335
g13
Nsg14
Nsg15
VFALSE
p94336
sbNNg8
(g9
g10
NtRp94337
(dp94338
g13
Nsg14
Nsg15
VFALSE
p94339
sbNNg8
(g9
g10
NtRp94340
(dp94341
g13
Nsg14
Nsg15
VFALSE
p94342
sbNg8
(g9
g10
NtRp94343
(dp94344
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/799f353c-d074-47c3-9783-7e246c036a1b.png
p94345
sbg8
(g9
g10
NtRp94346
(dp94347
g13
Nsg14
Nsg15
VEPSG:3035
p94348
sbg8
(g9
g10
NtRp94349
(dp94350
g13
Nsg14
Nsg15
V2019-06-04
p94351
sbNg8
(g9
g10
NtRp94352
(dp94353
g13
Nsg14
Nsg15
VAdministrative units|Elevation|Land cover|Population distribution \u2014 demography|Transport networks
p94354
sbg8
(g9
g10
NtRp94355
(dp94356
g13
Nsg14
Nsg15
Vadministrative boundary
p94357
sbg8
(g9
g10
NtRp94358
(dp94359
g13
Nsg14
Nsg15
Vvector
p94360
sbg8
(g9
g10
NtRp94361
(dp94362
g13
Nsg14
Nsg15
VFGeo|Spatialite
p94363
sbNg8
(g9
g10
NtRp94364
(dp94365
g13
Nsg14
Nsg15
V1:60000000
p94366
sbNg8
(g9
g10
NtRp94367
(dp94368
g13
Nsg14
Nsg15
VInformation on the lineage of the different datasets can be found in their respective metadata files.
p94369
sbg8
(g9
g10
NtRp94370
(dp94371
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/799f353c-d074-47c3-9783-7e246c036a1b
p94372
sbg8
(g9
g10
NtRp94373
(dp94374
g13
Nsg14
g74
sg15
V2016
p94375
sbg8
(g9
g10
NtRp94376
(dp94377
g13
Nsg14
g74
sg15
V2016
p94378
sbg8
(g9
g10
NtRp94379
(dp94380
g13
Nsg14
Nsg15
VFALSE
p94381
sbg8
(g9
g10
NtRp94382
(dp94383
g13
Nsg14
Nsg15
VEurope|World
p94384
sbg8
(g9
g10
NtRp94385
(dp94386
g13
Nsg14
Nsg15
VEurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright.  Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en)\u000a\u000aMoreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. \u000a\u000aThe European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.\u000a\u000aThe document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document "LicenseConditions_EuroGeographics.pdf".
p94387
sbg8
(g9
g10
NtRp94388
(dp94389
g13
Nsg14
Nsg15
VFALSE
p94390
sbg8
(g9
g10
NtRp94391
(dp94392
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p94393
sbg8
(g9
g10
NtRp94394
(dp94395
g13
Nsg14
Nsg15
VFALSE
p94396
sbNNNNNNNg8
(g9
g10
NtRp94397
(dp94398
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94399
(dp94400
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94401
(dp94402
g13
Nsg14
Nsg15
Veurostat_v_x_x_x_gisco_i_2016_series
p94403
sbNNtp94404
a(g8
(g9
g10
NtRp94405
(dp94406
g13
Nsg14
Nsg15
Vc57a03db-5069-4554-a31b-ec8e53728d56f
p94407
sbNg8
(g9
g10
NtRp94408
(dp94409
g13
Nsg14
Nsg15
VEEA reference grid for Austria (1km), May 2013
p94410
sbNNNNNg8
(g9
g10
NtRp94411
(dp94412
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94413
sbNNg8
(g9
g10
NtRp94414
(dp94415
g13
Nsg14
Nsg15
VFALSE
p94416
sbNNNg8
(g9
g10
NtRp94417
(dp94418
g13
Nsg14
Nsg15
VFALSE
p94419
sbNNg8
(g9
g10
NtRp94420
(dp94421
g13
Nsg14
Nsg15
VFALSE
p94422
sbNNg8
(g9
g10
NtRp94423
(dp94424
g13
Nsg14
Nsg15
VFALSE
p94425
sbNg8
(g9
g10
NtRp94426
(dp94427
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c57a03db-5069-4554-a31b-ec8e53728d56f.png
p94428
sbg8
(g9
g10
NtRp94429
(dp94430
g13
Nsg14
Nsg15
VEPSG:3035
p94431
sbg8
(g9
g10
NtRp94432
(dp94433
g13
Nsg14
Nsg15
V2019-06-21
p94434
sbNg8
(g9
g10
NtRp94435
(dp94436
g13
Nsg14
Nsg15
VGeographical grid systems
p94437
sbg8
(g9
g10
NtRp94438
(dp94439
g13
Nsg14
Nsg15
Vgridding
p94440
sbg8
(g9
g10
NtRp94441
(dp94442
g13
Nsg14
Nsg15
Vvector
p94443
sbg8
(g9
g10
NtRp94444
(dp94445
g13
Nsg14
Nsg15
VSHP
p94446
sbNg8
(g9
g10
NtRp94447
(dp94448
g13
Nsg14
Nsg15
V1000m
p94449
sbNg8
(g9
g10
NtRp94450
(dp94451
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94452
sbg8
(g9
g10
NtRp94453
(dp94454
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c57a03db-5069-4554-a31b-ec8e53728d56f
p94455
sbg8
(g9
g10
NtRp94456
(dp94457
g13
Nsg14
g74
sg15
V2013
p94458
sbg8
(g9
g10
NtRp94459
(dp94460
g13
Nsg14
g74
sg15
V2013
p94461
sbg8
(g9
g10
NtRp94462
(dp94463
g13
Nsg14
Nsg15
VFALSE
p94464
sbg8
(g9
g10
NtRp94465
(dp94466
g13
Nsg14
Nsg15
VAustria
p94467
sbg8
(g9
g10
NtRp94468
(dp94469
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94470
sbg8
(g9
g10
NtRp94471
(dp94472
g13
Nsg14
Nsg15
VFALSE
p94473
sbg8
(g9
g10
NtRp94474
(dp94475
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94476
sbg8
(g9
g10
NtRp94477
(dp94478
g13
Nsg14
Nsg15
VFALSE
p94479
sbNNNNNNNg8
(g9
g10
NtRp94480
(dp94481
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94482
(dp94483
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94484
(dp94485
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-at_2013
p94486
sbNNtp94487
a(g8
(g9
g10
NtRp94488
(dp94489
g13
Nsg14
Nsg15
Vf11d6b89-1a13-46b7-b900-a6629539f353f
p94490
sbNg8
(g9
g10
NtRp94491
(dp94492
g13
Nsg14
Nsg15
VEEA reference grid for Latvia (100km), May 2013
p94493
sbNNNNNg8
(g9
g10
NtRp94494
(dp94495
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94496
sbNNg8
(g9
g10
NtRp94497
(dp94498
g13
Nsg14
Nsg15
VFALSE
p94499
sbNNNg8
(g9
g10
NtRp94500
(dp94501
g13
Nsg14
Nsg15
VFALSE
p94502
sbNNg8
(g9
g10
NtRp94503
(dp94504
g13
Nsg14
Nsg15
VFALSE
p94505
sbNNg8
(g9
g10
NtRp94506
(dp94507
g13
Nsg14
Nsg15
VFALSE
p94508
sbNg8
(g9
g10
NtRp94509
(dp94510
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f11d6b89-1a13-46b7-b900-a6629539f353f.png
p94511
sbg8
(g9
g10
NtRp94512
(dp94513
g13
Nsg14
Nsg15
VEPSG:3035
p94514
sbg8
(g9
g10
NtRp94515
(dp94516
g13
Nsg14
Nsg15
V2019-07-01
p94517
sbNg8
(g9
g10
NtRp94518
(dp94519
g13
Nsg14
Nsg15
VGeographical grid systems
p94520
sbg8
(g9
g10
NtRp94521
(dp94522
g13
Nsg14
Nsg15
Vgridding
p94523
sbg8
(g9
g10
NtRp94524
(dp94525
g13
Nsg14
Nsg15
Vvector
p94526
sbg8
(g9
g10
NtRp94527
(dp94528
g13
Nsg14
Nsg15
VSHP
p94529
sbNg8
(g9
g10
NtRp94530
(dp94531
g13
Nsg14
Nsg15
V100000m
p94532
sbNg8
(g9
g10
NtRp94533
(dp94534
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94535
sbg8
(g9
g10
NtRp94536
(dp94537
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f11d6b89-1a13-46b7-b900-a6629539f353f
p94538
sbg8
(g9
g10
NtRp94539
(dp94540
g13
Nsg14
g74
sg15
V2013
p94541
sbg8
(g9
g10
NtRp94542
(dp94543
g13
Nsg14
g74
sg15
V2013
p94544
sbg8
(g9
g10
NtRp94545
(dp94546
g13
Nsg14
Nsg15
VFALSE
p94547
sbg8
(g9
g10
NtRp94548
(dp94549
g13
Nsg14
Nsg15
VLatvia
p94550
sbg8
(g9
g10
NtRp94551
(dp94552
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94553
sbg8
(g9
g10
NtRp94554
(dp94555
g13
Nsg14
Nsg15
VFALSE
p94556
sbg8
(g9
g10
NtRp94557
(dp94558
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94559
sbg8
(g9
g10
NtRp94560
(dp94561
g13
Nsg14
Nsg15
VFALSE
p94562
sbNNNNNNNg8
(g9
g10
NtRp94563
(dp94564
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94565
(dp94566
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94567
(dp94568
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-lv_2013
p94569
sbNNtp94570
a(g8
(g9
g10
NtRp94571
(dp94572
g13
Nsg14
Nsg15
V0046e069-1b48-4fb5-90e5-2f2793789f7df
p94573
sbNg8
(g9
g10
NtRp94574
(dp94575
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (10km), May 2013
p94576
sbNNNNNg8
(g9
g10
NtRp94577
(dp94578
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94579
sbNNg8
(g9
g10
NtRp94580
(dp94581
g13
Nsg14
Nsg15
VFALSE
p94582
sbNNNg8
(g9
g10
NtRp94583
(dp94584
g13
Nsg14
Nsg15
VFALSE
p94585
sbNNg8
(g9
g10
NtRp94586
(dp94587
g13
Nsg14
Nsg15
VFALSE
p94588
sbNNg8
(g9
g10
NtRp94589
(dp94590
g13
Nsg14
Nsg15
VFALSE
p94591
sbNg8
(g9
g10
NtRp94592
(dp94593
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0046e069-1b48-4fb5-90e5-2f2793789f7df.png
p94594
sbg8
(g9
g10
NtRp94595
(dp94596
g13
Nsg14
Nsg15
VEPSG:3035
p94597
sbg8
(g9
g10
NtRp94598
(dp94599
g13
Nsg14
Nsg15
V2019-06-27
p94600
sbNg8
(g9
g10
NtRp94601
(dp94602
g13
Nsg14
Nsg15
VGeographical grid systems
p94603
sbg8
(g9
g10
NtRp94604
(dp94605
g13
Nsg14
Nsg15
Vgridding
p94606
sbg8
(g9
g10
NtRp94607
(dp94608
g13
Nsg14
Nsg15
Vvector
p94609
sbg8
(g9
g10
NtRp94610
(dp94611
g13
Nsg14
Nsg15
VSHP
p94612
sbNg8
(g9
g10
NtRp94613
(dp94614
g13
Nsg14
Nsg15
V10000m
p94615
sbNg8
(g9
g10
NtRp94616
(dp94617
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94618
sbg8
(g9
g10
NtRp94619
(dp94620
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0046e069-1b48-4fb5-90e5-2f2793789f7df
p94621
sbg8
(g9
g10
NtRp94622
(dp94623
g13
Nsg14
g74
sg15
V2013
p94624
sbg8
(g9
g10
NtRp94625
(dp94626
g13
Nsg14
g74
sg15
V2013
p94627
sbg8
(g9
g10
NtRp94628
(dp94629
g13
Nsg14
Nsg15
VFALSE
p94630
sbg8
(g9
g10
NtRp94631
(dp94632
g13
Nsg14
Nsg15
VGibraltar
p94633
sbg8
(g9
g10
NtRp94634
(dp94635
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94636
sbg8
(g9
g10
NtRp94637
(dp94638
g13
Nsg14
Nsg15
VFALSE
p94639
sbg8
(g9
g10
NtRp94640
(dp94641
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94642
sbg8
(g9
g10
NtRp94643
(dp94644
g13
Nsg14
Nsg15
VFALSE
p94645
sbNNNNNNNg8
(g9
g10
NtRp94646
(dp94647
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94648
(dp94649
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94650
(dp94651
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-gi_2013
p94652
sbNNtp94653
a(g8
(g9
g10
NtRp94654
(dp94655
g13
Nsg14
Nsg15
Vbb796039-8210-46b6-bebb-77f3c6ee5997f
p94656
sbNg8
(g9
g10
NtRp94657
(dp94658
g13
Nsg14
Nsg15
VEEA reference grid for Finland (10km), May 2013
p94659
sbNNNNNg8
(g9
g10
NtRp94660
(dp94661
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94662
sbNNg8
(g9
g10
NtRp94663
(dp94664
g13
Nsg14
Nsg15
VFALSE
p94665
sbNNNg8
(g9
g10
NtRp94666
(dp94667
g13
Nsg14
Nsg15
VFALSE
p94668
sbNNg8
(g9
g10
NtRp94669
(dp94670
g13
Nsg14
Nsg15
VFALSE
p94671
sbNNg8
(g9
g10
NtRp94672
(dp94673
g13
Nsg14
Nsg15
VFALSE
p94674
sbNg8
(g9
g10
NtRp94675
(dp94676
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb796039-8210-46b6-bebb-77f3c6ee5997f.png
p94677
sbg8
(g9
g10
NtRp94678
(dp94679
g13
Nsg14
Nsg15
VEPSG:3035
p94680
sbg8
(g9
g10
NtRp94681
(dp94682
g13
Nsg14
Nsg15
V2019-06-26
p94683
sbNg8
(g9
g10
NtRp94684
(dp94685
g13
Nsg14
Nsg15
VGeographical grid systems
p94686
sbg8
(g9
g10
NtRp94687
(dp94688
g13
Nsg14
Nsg15
Vgridding
p94689
sbg8
(g9
g10
NtRp94690
(dp94691
g13
Nsg14
Nsg15
Vvector
p94692
sbg8
(g9
g10
NtRp94693
(dp94694
g13
Nsg14
Nsg15
VSHP
p94695
sbNg8
(g9
g10
NtRp94696
(dp94697
g13
Nsg14
Nsg15
V10000m
p94698
sbNg8
(g9
g10
NtRp94699
(dp94700
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94701
sbg8
(g9
g10
NtRp94702
(dp94703
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb796039-8210-46b6-bebb-77f3c6ee5997f
p94704
sbg8
(g9
g10
NtRp94705
(dp94706
g13
Nsg14
g74
sg15
V2013
p94707
sbg8
(g9
g10
NtRp94708
(dp94709
g13
Nsg14
g74
sg15
V2013
p94710
sbg8
(g9
g10
NtRp94711
(dp94712
g13
Nsg14
Nsg15
VFALSE
p94713
sbg8
(g9
g10
NtRp94714
(dp94715
g13
Nsg14
Nsg15
VFinland
p94716
sbg8
(g9
g10
NtRp94717
(dp94718
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p94719
sbg8
(g9
g10
NtRp94720
(dp94721
g13
Nsg14
Nsg15
VFALSE
p94722
sbg8
(g9
g10
NtRp94723
(dp94724
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94725
sbg8
(g9
g10
NtRp94726
(dp94727
g13
Nsg14
Nsg15
VFALSE
p94728
sbNNNNNNNg8
(g9
g10
NtRp94729
(dp94730
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94731
(dp94732
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94733
(dp94734
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-fi_2013
p94735
sbNNtp94736
a(g8
(g9
g10
NtRp94737
(dp94738
g13
Nsg14
Nsg15
V0cae298d-2129-41c3-9548-0092962f41fcf
p94739
sbNg8
(g9
g10
NtRp94740
(dp94741
g13
Nsg14
Nsg15
VEEA reference grid for Italy (10km), May 2013
p94742
sbNNNNNg8
(g9
g10
NtRp94743
(dp94744
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94745
sbNNg8
(g9
g10
NtRp94746
(dp94747
g13
Nsg14
Nsg15
VFALSE
p94748
sbNNNg8
(g9
g10
NtRp94749
(dp94750
g13
Nsg14
Nsg15
VFALSE
p94751
sbNNg8
(g9
g10
NtRp94752
(dp94753
g13
Nsg14
Nsg15
VFALSE
p94754
sbNNg8
(g9
g10
NtRp94755
(dp94756
g13
Nsg14
Nsg15
VFALSE
p94757
sbNg8
(g9
g10
NtRp94758
(dp94759
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0cae298d-2129-41c3-9548-0092962f41fcf.png
p94760
sbg8
(g9
g10
NtRp94761
(dp94762
g13
Nsg14
Nsg15
VEPSG:3035
p94763
sbg8
(g9
g10
NtRp94764
(dp94765
g13
Nsg14
Nsg15
V2019-07-01
p94766
sbNg8
(g9
g10
NtRp94767
(dp94768
g13
Nsg14
Nsg15
VGeographical grid systems
p94769
sbg8
(g9
g10
NtRp94770
(dp94771
g13
Nsg14
Nsg15
Vgridding
p94772
sbg8
(g9
g10
NtRp94773
(dp94774
g13
Nsg14
Nsg15
Vvector
p94775
sbg8
(g9
g10
NtRp94776
(dp94777
g13
Nsg14
Nsg15
VSHP
p94778
sbNg8
(g9
g10
NtRp94779
(dp94780
g13
Nsg14
Nsg15
V10000m
p94781
sbNg8
(g9
g10
NtRp94782
(dp94783
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94784
sbg8
(g9
g10
NtRp94785
(dp94786
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0cae298d-2129-41c3-9548-0092962f41fcf
p94787
sbg8
(g9
g10
NtRp94788
(dp94789
g13
Nsg14
g74
sg15
V2013
p94790
sbg8
(g9
g10
NtRp94791
(dp94792
g13
Nsg14
g74
sg15
V2013
p94793
sbg8
(g9
g10
NtRp94794
(dp94795
g13
Nsg14
Nsg15
VFALSE
p94796
sbg8
(g9
g10
NtRp94797
(dp94798
g13
Nsg14
Nsg15
VItaly
p94799
sbg8
(g9
g10
NtRp94800
(dp94801
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94802
sbg8
(g9
g10
NtRp94803
(dp94804
g13
Nsg14
Nsg15
VFALSE
p94805
sbg8
(g9
g10
NtRp94806
(dp94807
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94808
sbg8
(g9
g10
NtRp94809
(dp94810
g13
Nsg14
Nsg15
VFALSE
p94811
sbNNNNNNNg8
(g9
g10
NtRp94812
(dp94813
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94814
(dp94815
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94816
(dp94817
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-it_2013
p94818
sbNNtp94819
a(g8
(g9
g10
NtRp94820
(dp94821
g13
Nsg14
Nsg15
V8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf
p94822
sbNg8
(g9
g10
NtRp94823
(dp94824
g13
Nsg14
Nsg15
VEEA reference grid for Romania (1km), May 2013
p94825
sbNNNNNg8
(g9
g10
NtRp94826
(dp94827
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94828
sbNNg8
(g9
g10
NtRp94829
(dp94830
g13
Nsg14
Nsg15
VFALSE
p94831
sbNNNg8
(g9
g10
NtRp94832
(dp94833
g13
Nsg14
Nsg15
VFALSE
p94834
sbNNg8
(g9
g10
NtRp94835
(dp94836
g13
Nsg14
Nsg15
VFALSE
p94837
sbNNg8
(g9
g10
NtRp94838
(dp94839
g13
Nsg14
Nsg15
VFALSE
p94840
sbNg8
(g9
g10
NtRp94841
(dp94842
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf.png
p94843
sbg8
(g9
g10
NtRp94844
(dp94845
g13
Nsg14
Nsg15
VEPSG:3035
p94846
sbg8
(g9
g10
NtRp94847
(dp94848
g13
Nsg14
Nsg15
V2019-07-02
p94849
sbNg8
(g9
g10
NtRp94850
(dp94851
g13
Nsg14
Nsg15
VGeographical grid systems
p94852
sbg8
(g9
g10
NtRp94853
(dp94854
g13
Nsg14
Nsg15
Vgridding
p94855
sbg8
(g9
g10
NtRp94856
(dp94857
g13
Nsg14
Nsg15
Vvector
p94858
sbg8
(g9
g10
NtRp94859
(dp94860
g13
Nsg14
Nsg15
VSHP
p94861
sbNg8
(g9
g10
NtRp94862
(dp94863
g13
Nsg14
Nsg15
V1000m
p94864
sbNg8
(g9
g10
NtRp94865
(dp94866
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94867
sbg8
(g9
g10
NtRp94868
(dp94869
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf
p94870
sbg8
(g9
g10
NtRp94871
(dp94872
g13
Nsg14
g74
sg15
V2013
p94873
sbg8
(g9
g10
NtRp94874
(dp94875
g13
Nsg14
g74
sg15
V2013
p94876
sbg8
(g9
g10
NtRp94877
(dp94878
g13
Nsg14
Nsg15
VFALSE
p94879
sbg8
(g9
g10
NtRp94880
(dp94881
g13
Nsg14
Nsg15
VRomania
p94882
sbg8
(g9
g10
NtRp94883
(dp94884
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p94885
sbg8
(g9
g10
NtRp94886
(dp94887
g13
Nsg14
Nsg15
VFALSE
p94888
sbg8
(g9
g10
NtRp94889
(dp94890
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94891
sbg8
(g9
g10
NtRp94892
(dp94893
g13
Nsg14
Nsg15
VFALSE
p94894
sbNNNNNNNg8
(g9
g10
NtRp94895
(dp94896
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94897
(dp94898
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94899
(dp94900
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ro_2013
p94901
sbNNtp94902
a(g8
(g9
g10
NtRp94903
(dp94904
g13
Nsg14
Nsg15
Vbdcc81d5-4530-4071-b2c5-268bf49a9838f
p94905
sbNg8
(g9
g10
NtRp94906
(dp94907
g13
Nsg14
Nsg15
VEEA reference grid for Finland (1km), May 2013
p94908
sbNNNNNg8
(g9
g10
NtRp94909
(dp94910
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94911
sbNNg8
(g9
g10
NtRp94912
(dp94913
g13
Nsg14
Nsg15
VFALSE
p94914
sbNNNg8
(g9
g10
NtRp94915
(dp94916
g13
Nsg14
Nsg15
VFALSE
p94917
sbNNg8
(g9
g10
NtRp94918
(dp94919
g13
Nsg14
Nsg15
VFALSE
p94920
sbNNg8
(g9
g10
NtRp94921
(dp94922
g13
Nsg14
Nsg15
VFALSE
p94923
sbNg8
(g9
g10
NtRp94924
(dp94925
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bdcc81d5-4530-4071-b2c5-268bf49a9838f.png
p94926
sbg8
(g9
g10
NtRp94927
(dp94928
g13
Nsg14
Nsg15
VEPSG:3035
p94929
sbg8
(g9
g10
NtRp94930
(dp94931
g13
Nsg14
Nsg15
V2019-06-27
p94932
sbNg8
(g9
g10
NtRp94933
(dp94934
g13
Nsg14
Nsg15
VGeographical grid systems
p94935
sbg8
(g9
g10
NtRp94936
(dp94937
g13
Nsg14
Nsg15
Vgridding
p94938
sbg8
(g9
g10
NtRp94939
(dp94940
g13
Nsg14
Nsg15
Vvector
p94941
sbg8
(g9
g10
NtRp94942
(dp94943
g13
Nsg14
Nsg15
VSHP
p94944
sbNg8
(g9
g10
NtRp94945
(dp94946
g13
Nsg14
Nsg15
V1000m
p94947
sbNg8
(g9
g10
NtRp94948
(dp94949
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p94950
sbg8
(g9
g10
NtRp94951
(dp94952
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bdcc81d5-4530-4071-b2c5-268bf49a9838f
p94953
sbg8
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NtRp94954
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g13
Nsg14
g74
sg15
V2013
p94956
sbg8
(g9
g10
NtRp94957
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g13
Nsg14
g74
sg15
V2013
p94959
sbg8
(g9
g10
NtRp94960
(dp94961
g13
Nsg14
Nsg15
VFALSE
p94962
sbg8
(g9
g10
NtRp94963
(dp94964
g13
Nsg14
Nsg15
VFinland
p94965
sbg8
(g9
g10
NtRp94966
(dp94967
g13
Nsg14
Nsg15
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p94968
sbg8
(g9
g10
NtRp94969
(dp94970
g13
Nsg14
Nsg15
VFALSE
p94971
sbg8
(g9
g10
NtRp94972
(dp94973
g13
Nsg14
Nsg15
VEuropean Environment Agency
p94974
sbg8
(g9
g10
NtRp94975
(dp94976
g13
Nsg14
Nsg15
VFALSE
p94977
sbNNNNNNNg8
(g9
g10
NtRp94978
(dp94979
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp94980
(dp94981
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp94982
(dp94983
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-fi_2013
p94984
sbNNtp94985
a(g8
(g9
g10
NtRp94986
(dp94987
g13
Nsg14
Nsg15
Vbc1d2383-e126-4982-b626-74396213d38df
p94988
sbNg8
(g9
g10
NtRp94989
(dp94990
g13
Nsg14
Nsg15
VEEA reference grid for Italy (1km), May 2013
p94991
sbNNNNNg8
(g9
g10
NtRp94992
(dp94993
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p94994
sbNNg8
(g9
g10
NtRp94995
(dp94996
g13
Nsg14
Nsg15
VFALSE
p94997
sbNNNg8
(g9
g10
NtRp94998
(dp94999
g13
Nsg14
Nsg15
VFALSE
p95000
sbNNg8
(g9
g10
NtRp95001
(dp95002
g13
Nsg14
Nsg15
VFALSE
p95003
sbNNg8
(g9
g10
NtRp95004
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g13
Nsg14
Nsg15
VFALSE
p95006
sbNg8
(g9
g10
NtRp95007
(dp95008
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc1d2383-e126-4982-b626-74396213d38df.png
p95009
sbg8
(g9
g10
NtRp95010
(dp95011
g13
Nsg14
Nsg15
VEPSG:3035
p95012
sbg8
(g9
g10
NtRp95013
(dp95014
g13
Nsg14
Nsg15
V2019-07-01
p95015
sbNg8
(g9
g10
NtRp95016
(dp95017
g13
Nsg14
Nsg15
VGeographical grid systems
p95018
sbg8
(g9
g10
NtRp95019
(dp95020
g13
Nsg14
Nsg15
Vgridding
p95021
sbg8
(g9
g10
NtRp95022
(dp95023
g13
Nsg14
Nsg15
Vvector
p95024
sbg8
(g9
g10
NtRp95025
(dp95026
g13
Nsg14
Nsg15
VSHP
p95027
sbNg8
(g9
g10
NtRp95028
(dp95029
g13
Nsg14
Nsg15
V1000m
p95030
sbNg8
(g9
g10
NtRp95031
(dp95032
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95033
sbg8
(g9
g10
NtRp95034
(dp95035
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc1d2383-e126-4982-b626-74396213d38df
p95036
sbg8
(g9
g10
NtRp95037
(dp95038
g13
Nsg14
g74
sg15
V2013
p95039
sbg8
(g9
g10
NtRp95040
(dp95041
g13
Nsg14
g74
sg15
V2013
p95042
sbg8
(g9
g10
NtRp95043
(dp95044
g13
Nsg14
Nsg15
VFALSE
p95045
sbg8
(g9
g10
NtRp95046
(dp95047
g13
Nsg14
Nsg15
VItaly
p95048
sbg8
(g9
g10
NtRp95049
(dp95050
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95051
sbg8
(g9
g10
NtRp95052
(dp95053
g13
Nsg14
Nsg15
VFALSE
p95054
sbg8
(g9
g10
NtRp95055
(dp95056
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95057
sbg8
(g9
g10
NtRp95058
(dp95059
g13
Nsg14
Nsg15
VFALSE
p95060
sbNNNNNNNg8
(g9
g10
NtRp95061
(dp95062
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95063
(dp95064
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95065
(dp95066
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-it_2013
p95067
sbNNtp95068
a(g8
(g9
g10
NtRp95069
(dp95070
g13
Nsg14
Nsg15
Vb0a22226-80a3-4d9b-babb-789e57f8c05df
p95071
sbNg8
(g9
g10
NtRp95072
(dp95073
g13
Nsg14
Nsg15
VEEA reference grid for United Kingdom (100km), May 2013
p95074
sbNNNNNg8
(g9
g10
NtRp95075
(dp95076
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95077
sbNNg8
(g9
g10
NtRp95078
(dp95079
g13
Nsg14
Nsg15
VFALSE
p95080
sbNNNg8
(g9
g10
NtRp95081
(dp95082
g13
Nsg14
Nsg15
VFALSE
p95083
sbNNg8
(g9
g10
NtRp95084
(dp95085
g13
Nsg14
Nsg15
VFALSE
p95086
sbNNg8
(g9
g10
NtRp95087
(dp95088
g13
Nsg14
Nsg15
VFALSE
p95089
sbNg8
(g9
g10
NtRp95090
(dp95091
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0a22226-80a3-4d9b-babb-789e57f8c05df.png
p95092
sbg8
(g9
g10
NtRp95093
(dp95094
g13
Nsg14
Nsg15
VEPSG:3035
p95095
sbg8
(g9
g10
NtRp95096
(dp95097
g13
Nsg14
Nsg15
V2019-07-02
p95098
sbNg8
(g9
g10
NtRp95099
(dp95100
g13
Nsg14
Nsg15
VGeographical grid systems
p95101
sbg8
(g9
g10
NtRp95102
(dp95103
g13
Nsg14
Nsg15
Vgridding
p95104
sbg8
(g9
g10
NtRp95105
(dp95106
g13
Nsg14
Nsg15
Vvector
p95107
sbg8
(g9
g10
NtRp95108
(dp95109
g13
Nsg14
Nsg15
VSHP
p95110
sbNg8
(g9
g10
NtRp95111
(dp95112
g13
Nsg14
Nsg15
V100000m
p95113
sbNg8
(g9
g10
NtRp95114
(dp95115
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95116
sbg8
(g9
g10
NtRp95117
(dp95118
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0a22226-80a3-4d9b-babb-789e57f8c05df
p95119
sbg8
(g9
g10
NtRp95120
(dp95121
g13
Nsg14
g74
sg15
V2013
p95122
sbg8
(g9
g10
NtRp95123
(dp95124
g13
Nsg14
g74
sg15
V2013
p95125
sbg8
(g9
g10
NtRp95126
(dp95127
g13
Nsg14
Nsg15
VFALSE
p95128
sbg8
(g9
g10
NtRp95129
(dp95130
g13
Nsg14
Nsg15
VUnited Kingdom
p95131
sbg8
(g9
g10
NtRp95132
(dp95133
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95134
sbg8
(g9
g10
NtRp95135
(dp95136
g13
Nsg14
Nsg15
VFALSE
p95137
sbg8
(g9
g10
NtRp95138
(dp95139
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95140
sbg8
(g9
g10
NtRp95141
(dp95142
g13
Nsg14
Nsg15
VFALSE
p95143
sbNNNNNNNg8
(g9
g10
NtRp95144
(dp95145
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95146
(dp95147
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95148
(dp95149
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-gb_2013
p95150
sbNNtp95151
a(g8
(g9
g10
NtRp95152
(dp95153
g13
Nsg14
Nsg15
V964a58b4-3961-4d58-9319-18b4bf072cf1f
p95154
sbNg8
(g9
g10
NtRp95155
(dp95156
g13
Nsg14
Nsg15
VEEA reference grid for Croatia (10km), May 2013
p95157
sbNNNNNg8
(g9
g10
NtRp95158
(dp95159
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95160
sbNNg8
(g9
g10
NtRp95161
(dp95162
g13
Nsg14
Nsg15
VFALSE
p95163
sbNNNg8
(g9
g10
NtRp95164
(dp95165
g13
Nsg14
Nsg15
VFALSE
p95166
sbNNg8
(g9
g10
NtRp95167
(dp95168
g13
Nsg14
Nsg15
VFALSE
p95169
sbNNg8
(g9
g10
NtRp95170
(dp95171
g13
Nsg14
Nsg15
VFALSE
p95172
sbNg8
(g9
g10
NtRp95173
(dp95174
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/964a58b4-3961-4d58-9319-18b4bf072cf1f.png
p95175
sbg8
(g9
g10
NtRp95176
(dp95177
g13
Nsg14
Nsg15
VEPSG:3035
p95178
sbg8
(g9
g10
NtRp95179
(dp95180
g13
Nsg14
Nsg15
V2019-06-21
p95181
sbNg8
(g9
g10
NtRp95182
(dp95183
g13
Nsg14
Nsg15
VGeographical grid systems
p95184
sbg8
(g9
g10
NtRp95185
(dp95186
g13
Nsg14
Nsg15
Vgridding
p95187
sbg8
(g9
g10
NtRp95188
(dp95189
g13
Nsg14
Nsg15
Vvector
p95190
sbg8
(g9
g10
NtRp95191
(dp95192
g13
Nsg14
Nsg15
VSHP
p95193
sbNg8
(g9
g10
NtRp95194
(dp95195
g13
Nsg14
Nsg15
V10000m
p95196
sbNg8
(g9
g10
NtRp95197
(dp95198
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95199
sbg8
(g9
g10
NtRp95200
(dp95201
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/964a58b4-3961-4d58-9319-18b4bf072cf1f
p95202
sbg8
(g9
g10
NtRp95203
(dp95204
g13
Nsg14
g74
sg15
V2013
p95205
sbg8
(g9
g10
NtRp95206
(dp95207
g13
Nsg14
g74
sg15
V2013
p95208
sbg8
(g9
g10
NtRp95209
(dp95210
g13
Nsg14
Nsg15
VFALSE
p95211
sbg8
(g9
g10
NtRp95212
(dp95213
g13
Nsg14
Nsg15
VCroatia
p95214
sbg8
(g9
g10
NtRp95215
(dp95216
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95217
sbg8
(g9
g10
NtRp95218
(dp95219
g13
Nsg14
Nsg15
VFALSE
p95220
sbg8
(g9
g10
NtRp95221
(dp95222
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95223
sbg8
(g9
g10
NtRp95224
(dp95225
g13
Nsg14
Nsg15
VFALSE
p95226
sbNNNNNNNg8
(g9
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NtRp95227
(dp95228
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95229
(dp95230
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95231
(dp95232
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-hr_2013
p95233
sbNNtp95234
a(g8
(g9
g10
NtRp95235
(dp95236
g13
Nsg14
Nsg15
Vd9d4684e-0a8d-496c-8be8-110f4b9465f6
p95237
sbNg8
(g9
g10
NtRp95238
(dp95239
g13
Nsg14
Nsg15
VEEA reference grid for Europe (1km), May 2011
p95240
sbNNNNNg8
(g9
g10
NtRp95241
(dp95242
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.
p95243
sbNNg8
(g9
g10
NtRp95244
(dp95245
g13
Nsg14
Nsg15
VFALSE
p95246
sbNNNg8
(g9
g10
NtRp95247
(dp95248
g13
Nsg14
Nsg15
VFALSE
p95249
sbNNg8
(g9
g10
NtRp95250
(dp95251
g13
Nsg14
Nsg15
VFALSE
p95252
sbNNg8
(g9
g10
NtRp95253
(dp95254
g13
Nsg14
Nsg15
VFALSE
p95255
sbNg8
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g10
NtRp95256
(dp95257
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9d4684e-0a8d-496c-8be8-110f4b9465f6.png
p95258
sbg8
(g9
g10
NtRp95259
(dp95260
g13
Nsg14
Nsg15
VEPSG:3035
p95261
sbg8
(g9
g10
NtRp95262
(dp95263
g13
Nsg14
Nsg15
V2019-06-26
p95264
sbNg8
(g9
g10
NtRp95265
(dp95266
g13
Nsg14
Nsg15
VGeographical grid systems
p95267
sbg8
(g9
g10
NtRp95268
(dp95269
g13
Nsg14
Nsg15
Vgridding
p95270
sbg8
(g9
g10
NtRp95271
(dp95272
g13
Nsg14
Nsg15
Vvector
p95273
sbg8
(g9
g10
NtRp95274
(dp95275
g13
Nsg14
Nsg15
VSHP
p95276
sbNg8
(g9
g10
NtRp95277
(dp95278
g13
Nsg14
Nsg15
V1000m
p95279
sbNg8
(g9
g10
NtRp95280
(dp95281
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.
p95282
sbg8
(g9
g10
NtRp95283
(dp95284
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9d4684e-0a8d-496c-8be8-110f4b9465f6
p95285
sbg8
(g9
g10
NtRp95286
(dp95287
g13
Nsg14
g74
sg15
V2011
p95288
sbg8
(g9
g10
NtRp95289
(dp95290
g13
Nsg14
g74
sg15
V2011
p95291
sbg8
(g9
g10
NtRp95292
(dp95293
g13
Nsg14
Nsg15
VFALSE
p95294
sbg8
(g9
g10
NtRp95295
(dp95296
g13
Nsg14
Nsg15
VEurope
p95297
sbg8
(g9
g10
NtRp95298
(dp95299
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95300
sbg8
(g9
g10
NtRp95301
(dp95302
g13
Nsg14
Nsg15
VFALSE
p95303
sbg8
(g9
g10
NtRp95304
(dp95305
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95306
sbg8
(g9
g10
NtRp95307
(dp95308
g13
Nsg14
Nsg15
VFALSE
p95309
sbNNNNNNNg8
(g9
g10
NtRp95310
(dp95311
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95312
(dp95313
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95314
(dp95315
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-europe_2011
p95316
sbNNtp95317
a(g8
(g9
g10
NtRp95318
(dp95319
g13
Nsg14
Nsg15
Vf5d0cc18-5058-435e-822d-ca1479098c87f
p95320
sbNg8
(g9
g10
NtRp95321
(dp95322
g13
Nsg14
Nsg15
VEEA reference grid for Ireland (100km), May 2013
p95323
sbNNNNNg8
(g9
g10
NtRp95324
(dp95325
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95326
sbNNg8
(g9
g10
NtRp95327
(dp95328
g13
Nsg14
Nsg15
VFALSE
p95329
sbNNNg8
(g9
g10
NtRp95330
(dp95331
g13
Nsg14
Nsg15
VFALSE
p95332
sbNNg8
(g9
g10
NtRp95333
(dp95334
g13
Nsg14
Nsg15
VFALSE
p95335
sbNNg8
(g9
g10
NtRp95336
(dp95337
g13
Nsg14
Nsg15
VFALSE
p95338
sbNg8
(g9
g10
NtRp95339
(dp95340
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5d0cc18-5058-435e-822d-ca1479098c87f.png
p95341
sbg8
(g9
g10
NtRp95342
(dp95343
g13
Nsg14
Nsg15
VEPSG:3035
p95344
sbg8
(g9
g10
NtRp95345
(dp95346
g13
Nsg14
Nsg15
V2019-07-01
p95347
sbNg8
(g9
g10
NtRp95348
(dp95349
g13
Nsg14
Nsg15
VGeographical grid systems
p95350
sbg8
(g9
g10
NtRp95351
(dp95352
g13
Nsg14
Nsg15
Vgridding
p95353
sbg8
(g9
g10
NtRp95354
(dp95355
g13
Nsg14
Nsg15
Vvector
p95356
sbg8
(g9
g10
NtRp95357
(dp95358
g13
Nsg14
Nsg15
VSHP
p95359
sbNg8
(g9
g10
NtRp95360
(dp95361
g13
Nsg14
Nsg15
V100000m
p95362
sbNg8
(g9
g10
NtRp95363
(dp95364
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95365
sbg8
(g9
g10
NtRp95366
(dp95367
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5d0cc18-5058-435e-822d-ca1479098c87f
p95368
sbg8
(g9
g10
NtRp95369
(dp95370
g13
Nsg14
g74
sg15
V2013
p95371
sbg8
(g9
g10
NtRp95372
(dp95373
g13
Nsg14
g74
sg15
V2013
p95374
sbg8
(g9
g10
NtRp95375
(dp95376
g13
Nsg14
Nsg15
VFALSE
p95377
sbg8
(g9
g10
NtRp95378
(dp95379
g13
Nsg14
Nsg15
VIreland
p95380
sbg8
(g9
g10
NtRp95381
(dp95382
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95383
sbg8
(g9
g10
NtRp95384
(dp95385
g13
Nsg14
Nsg15
VFALSE
p95386
sbg8
(g9
g10
NtRp95387
(dp95388
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95389
sbg8
(g9
g10
NtRp95390
(dp95391
g13
Nsg14
Nsg15
VFALSE
p95392
sbNNNNNNNg8
(g9
g10
NtRp95393
(dp95394
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95395
(dp95396
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95397
(dp95398
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ie_2013
p95399
sbNNtp95400
a(g8
(g9
g10
NtRp95401
(dp95402
g13
Nsg14
Nsg15
V56d8dbbb-79b4-4859-acea-355ed9dc449af
p95403
sbNg8
(g9
g10
NtRp95404
(dp95405
g13
Nsg14
Nsg15
VEEA reference grid for Slovakia (10km), May 2013
p95406
sbNNNNNg8
(g9
g10
NtRp95407
(dp95408
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95409
sbNNg8
(g9
g10
NtRp95410
(dp95411
g13
Nsg14
Nsg15
VFALSE
p95412
sbNNNg8
(g9
g10
NtRp95413
(dp95414
g13
Nsg14
Nsg15
VFALSE
p95415
sbNNg8
(g9
g10
NtRp95416
(dp95417
g13
Nsg14
Nsg15
VFALSE
p95418
sbNNg8
(g9
g10
NtRp95419
(dp95420
g13
Nsg14
Nsg15
VFALSE
p95421
sbNg8
(g9
g10
NtRp95422
(dp95423
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/56d8dbbb-79b4-4859-acea-355ed9dc449af.png
p95424
sbg8
(g9
g10
NtRp95425
(dp95426
g13
Nsg14
Nsg15
VEPSG:3035
p95427
sbg8
(g9
g10
NtRp95428
(dp95429
g13
Nsg14
Nsg15
V2019-07-02
p95430
sbNg8
(g9
g10
NtRp95431
(dp95432
g13
Nsg14
Nsg15
VGeographical grid systems
p95433
sbg8
(g9
g10
NtRp95434
(dp95435
g13
Nsg14
Nsg15
Vgridding
p95436
sbg8
(g9
g10
NtRp95437
(dp95438
g13
Nsg14
Nsg15
Vvector
p95439
sbg8
(g9
g10
NtRp95440
(dp95441
g13
Nsg14
Nsg15
VSHP
p95442
sbNg8
(g9
g10
NtRp95443
(dp95444
g13
Nsg14
Nsg15
V10000m
p95445
sbNg8
(g9
g10
NtRp95446
(dp95447
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95448
sbg8
(g9
g10
NtRp95449
(dp95450
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56d8dbbb-79b4-4859-acea-355ed9dc449af
p95451
sbg8
(g9
g10
NtRp95452
(dp95453
g13
Nsg14
g74
sg15
V2013
p95454
sbg8
(g9
g10
NtRp95455
(dp95456
g13
Nsg14
g74
sg15
V2013
p95457
sbg8
(g9
g10
NtRp95458
(dp95459
g13
Nsg14
Nsg15
VFALSE
p95460
sbg8
(g9
g10
NtRp95461
(dp95462
g13
Nsg14
Nsg15
VSlovakia
p95463
sbg8
(g9
g10
NtRp95464
(dp95465
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95466
sbg8
(g9
g10
NtRp95467
(dp95468
g13
Nsg14
Nsg15
VFALSE
p95469
sbg8
(g9
g10
NtRp95470
(dp95471
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95472
sbg8
(g9
g10
NtRp95473
(dp95474
g13
Nsg14
Nsg15
VFALSE
p95475
sbNNNNNNNg8
(g9
g10
NtRp95476
(dp95477
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95478
(dp95479
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95480
(dp95481
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-sk_2013
p95482
sbNNtp95483
a(g8
(g9
g10
NtRp95484
(dp95485
g13
Nsg14
Nsg15
Vf93fddaa-56ba-4536-a1db-698f64c8af3df
p95486
sbNg8
(g9
g10
NtRp95487
(dp95488
g13
Nsg14
Nsg15
VEEA reference grid for Gibraltar (1km), May 2013
p95489
sbNNNNNg8
(g9
g10
NtRp95490
(dp95491
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95492
sbNNg8
(g9
g10
NtRp95493
(dp95494
g13
Nsg14
Nsg15
VFALSE
p95495
sbNNNg8
(g9
g10
NtRp95496
(dp95497
g13
Nsg14
Nsg15
VFALSE
p95498
sbNNg8
(g9
g10
NtRp95499
(dp95500
g13
Nsg14
Nsg15
VFALSE
p95501
sbNNg8
(g9
g10
NtRp95502
(dp95503
g13
Nsg14
Nsg15
VFALSE
p95504
sbNg8
(g9
g10
NtRp95505
(dp95506
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f93fddaa-56ba-4536-a1db-698f64c8af3df.png
p95507
sbg8
(g9
g10
NtRp95508
(dp95509
g13
Nsg14
Nsg15
VEPSG:3035
p95510
sbg8
(g9
g10
NtRp95511
(dp95512
g13
Nsg14
Nsg15
V2019-07-01
p95513
sbNg8
(g9
g10
NtRp95514
(dp95515
g13
Nsg14
Nsg15
VGeographical grid systems
p95516
sbg8
(g9
g10
NtRp95517
(dp95518
g13
Nsg14
Nsg15
Vgridding
p95519
sbg8
(g9
g10
NtRp95520
(dp95521
g13
Nsg14
Nsg15
Vvector
p95522
sbg8
(g9
g10
NtRp95523
(dp95524
g13
Nsg14
Nsg15
VSHP
p95525
sbNg8
(g9
g10
NtRp95526
(dp95527
g13
Nsg14
Nsg15
V1000m
p95528
sbNg8
(g9
g10
NtRp95529
(dp95530
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95531
sbg8
(g9
g10
NtRp95532
(dp95533
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f93fddaa-56ba-4536-a1db-698f64c8af3df
p95534
sbg8
(g9
g10
NtRp95535
(dp95536
g13
Nsg14
g74
sg15
V2013
p95537
sbg8
(g9
g10
NtRp95538
(dp95539
g13
Nsg14
g74
sg15
V2013
p95540
sbg8
(g9
g10
NtRp95541
(dp95542
g13
Nsg14
Nsg15
VFALSE
p95543
sbg8
(g9
g10
NtRp95544
(dp95545
g13
Nsg14
Nsg15
VGibraltar
p95546
sbg8
(g9
g10
NtRp95547
(dp95548
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95549
sbg8
(g9
g10
NtRp95550
(dp95551
g13
Nsg14
Nsg15
VFALSE
p95552
sbg8
(g9
g10
NtRp95553
(dp95554
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95555
sbg8
(g9
g10
NtRp95556
(dp95557
g13
Nsg14
Nsg15
VFALSE
p95558
sbNNNNNNNg8
(g9
g10
NtRp95559
(dp95560
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95561
(dp95562
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95563
(dp95564
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-gi_2013
p95565
sbNNtp95566
a(g8
(g9
g10
NtRp95567
(dp95568
g13
Nsg14
Nsg15
V3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f
p95569
sbNg8
(g9
g10
NtRp95570
(dp95571
g13
Nsg14
Nsg15
VEEA reference grid for Estonia (10km), May 2013
p95572
sbNNNNNg8
(g9
g10
NtRp95573
(dp95574
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95575
sbNNg8
(g9
g10
NtRp95576
(dp95577
g13
Nsg14
Nsg15
VFALSE
p95578
sbNNNg8
(g9
g10
NtRp95579
(dp95580
g13
Nsg14
Nsg15
VFALSE
p95581
sbNNg8
(g9
g10
NtRp95582
(dp95583
g13
Nsg14
Nsg15
VFALSE
p95584
sbNNg8
(g9
g10
NtRp95585
(dp95586
g13
Nsg14
Nsg15
VFALSE
p95587
sbNg8
(g9
g10
NtRp95588
(dp95589
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f.png
p95590
sbg8
(g9
g10
NtRp95591
(dp95592
g13
Nsg14
Nsg15
VEPSG:3035
p95593
sbg8
(g9
g10
NtRp95594
(dp95595
g13
Nsg14
Nsg15
V2019-06-26
p95596
sbNg8
(g9
g10
NtRp95597
(dp95598
g13
Nsg14
Nsg15
VGeographical grid systems
p95599
sbg8
(g9
g10
NtRp95600
(dp95601
g13
Nsg14
Nsg15
Vgridding
p95602
sbg8
(g9
g10
NtRp95603
(dp95604
g13
Nsg14
Nsg15
Vvector
p95605
sbg8
(g9
g10
NtRp95606
(dp95607
g13
Nsg14
Nsg15
VSHP
p95608
sbNg8
(g9
g10
NtRp95609
(dp95610
g13
Nsg14
Nsg15
V10000m
p95611
sbNg8
(g9
g10
NtRp95612
(dp95613
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95614
sbg8
(g9
g10
NtRp95615
(dp95616
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f
p95617
sbg8
(g9
g10
NtRp95618
(dp95619
g13
Nsg14
g74
sg15
V2013
p95620
sbg8
(g9
g10
NtRp95621
(dp95622
g13
Nsg14
g74
sg15
V2013
p95623
sbg8
(g9
g10
NtRp95624
(dp95625
g13
Nsg14
Nsg15
VFALSE
p95626
sbg8
(g9
g10
NtRp95627
(dp95628
g13
Nsg14
Nsg15
VEstonia
p95629
sbg8
(g9
g10
NtRp95630
(dp95631
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95632
sbg8
(g9
g10
NtRp95633
(dp95634
g13
Nsg14
Nsg15
VFALSE
p95635
sbg8
(g9
g10
NtRp95636
(dp95637
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95638
sbg8
(g9
g10
NtRp95639
(dp95640
g13
Nsg14
Nsg15
VFALSE
p95641
sbNNNNNNNg8
(g9
g10
NtRp95642
(dp95643
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95644
(dp95645
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95646
(dp95647
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ee_2013
p95648
sbNNtp95649
a(g8
(g9
g10
NtRp95650
(dp95651
g13
Nsg14
Nsg15
V89f49357-ac68-4293-86f8-1e64da2ab7fbf
p95652
sbNg8
(g9
g10
NtRp95653
(dp95654
g13
Nsg14
Nsg15
VEEA reference grid for Austria (10km), May 2013
p95655
sbNNNNNg8
(g9
g10
NtRp95656
(dp95657
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95658
sbNNg8
(g9
g10
NtRp95659
(dp95660
g13
Nsg14
Nsg15
VFALSE
p95661
sbNNNg8
(g9
g10
NtRp95662
(dp95663
g13
Nsg14
Nsg15
VFALSE
p95664
sbNNg8
(g9
g10
NtRp95665
(dp95666
g13
Nsg14
Nsg15
VFALSE
p95667
sbNNg8
(g9
g10
NtRp95668
(dp95669
g13
Nsg14
Nsg15
VFALSE
p95670
sbNg8
(g9
g10
NtRp95671
(dp95672
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f49357-ac68-4293-86f8-1e64da2ab7fbf.png
p95673
sbg8
(g9
g10
NtRp95674
(dp95675
g13
Nsg14
Nsg15
VEPSG:3035
p95676
sbg8
(g9
g10
NtRp95677
(dp95678
g13
Nsg14
Nsg15
V2019-06-21
p95679
sbNg8
(g9
g10
NtRp95680
(dp95681
g13
Nsg14
Nsg15
VGeographical grid systems
p95682
sbg8
(g9
g10
NtRp95683
(dp95684
g13
Nsg14
Nsg15
Vgridding
p95685
sbg8
(g9
g10
NtRp95686
(dp95687
g13
Nsg14
Nsg15
Vvector
p95688
sbg8
(g9
g10
NtRp95689
(dp95690
g13
Nsg14
Nsg15
VSHP
p95691
sbNg8
(g9
g10
NtRp95692
(dp95693
g13
Nsg14
Nsg15
V10000m
p95694
sbNg8
(g9
g10
NtRp95695
(dp95696
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95697
sbg8
(g9
g10
NtRp95698
(dp95699
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f49357-ac68-4293-86f8-1e64da2ab7fbf
p95700
sbg8
(g9
g10
NtRp95701
(dp95702
g13
Nsg14
g74
sg15
V2013
p95703
sbg8
(g9
g10
NtRp95704
(dp95705
g13
Nsg14
g74
sg15
V2013
p95706
sbg8
(g9
g10
NtRp95707
(dp95708
g13
Nsg14
Nsg15
VFALSE
p95709
sbg8
(g9
g10
NtRp95710
(dp95711
g13
Nsg14
Nsg15
VAustria
p95712
sbg8
(g9
g10
NtRp95713
(dp95714
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95715
sbg8
(g9
g10
NtRp95716
(dp95717
g13
Nsg14
Nsg15
VFALSE
p95718
sbg8
(g9
g10
NtRp95719
(dp95720
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95721
sbg8
(g9
g10
NtRp95722
(dp95723
g13
Nsg14
Nsg15
VFALSE
p95724
sbNNNNNNNg8
(g9
g10
NtRp95725
(dp95726
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95727
(dp95728
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95729
(dp95730
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-at_2013
p95731
sbNNtp95732
a(g8
(g9
g10
NtRp95733
(dp95734
g13
Nsg14
Nsg15
V3901f1f7-e3a9-4a23-8c51-82fefeac378af
p95735
sbNg8
(g9
g10
NtRp95736
(dp95737
g13
Nsg14
Nsg15
VEEA reference grid for Poland (100km), May 2013
p95738
sbNNNNNg8
(g9
g10
NtRp95739
(dp95740
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95741
sbNNg8
(g9
g10
NtRp95742
(dp95743
g13
Nsg14
Nsg15
VFALSE
p95744
sbNNNg8
(g9
g10
NtRp95745
(dp95746
g13
Nsg14
Nsg15
VFALSE
p95747
sbNNg8
(g9
g10
NtRp95748
(dp95749
g13
Nsg14
Nsg15
VFALSE
p95750
sbNNg8
(g9
g10
NtRp95751
(dp95752
g13
Nsg14
Nsg15
VFALSE
p95753
sbNg8
(g9
g10
NtRp95754
(dp95755
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/3901f1f7-e3a9-4a23-8c51-82fefeac378af.png
p95756
sbg8
(g9
g10
NtRp95757
(dp95758
g13
Nsg14
Nsg15
VEPSG:3035
p95759
sbg8
(g9
g10
NtRp95760
(dp95761
g13
Nsg14
Nsg15
V2019-07-02
p95762
sbNg8
(g9
g10
NtRp95763
(dp95764
g13
Nsg14
Nsg15
VGeographical grid systems
p95765
sbg8
(g9
g10
NtRp95766
(dp95767
g13
Nsg14
Nsg15
Vgridding
p95768
sbg8
(g9
g10
NtRp95769
(dp95770
g13
Nsg14
Nsg15
Vvector
p95771
sbg8
(g9
g10
NtRp95772
(dp95773
g13
Nsg14
Nsg15
VSHP
p95774
sbNg8
(g9
g10
NtRp95775
(dp95776
g13
Nsg14
Nsg15
V100000m
p95777
sbNg8
(g9
g10
NtRp95778
(dp95779
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95780
sbg8
(g9
g10
NtRp95781
(dp95782
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3901f1f7-e3a9-4a23-8c51-82fefeac378af
p95783
sbg8
(g9
g10
NtRp95784
(dp95785
g13
Nsg14
g74
sg15
V2013
p95786
sbg8
(g9
g10
NtRp95787
(dp95788
g13
Nsg14
g74
sg15
V2013
p95789
sbg8
(g9
g10
NtRp95790
(dp95791
g13
Nsg14
Nsg15
VFALSE
p95792
sbg8
(g9
g10
NtRp95793
(dp95794
g13
Nsg14
Nsg15
VPoland
p95795
sbg8
(g9
g10
NtRp95796
(dp95797
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95798
sbg8
(g9
g10
NtRp95799
(dp95800
g13
Nsg14
Nsg15
VFALSE
p95801
sbg8
(g9
g10
NtRp95802
(dp95803
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95804
sbg8
(g9
g10
NtRp95805
(dp95806
g13
Nsg14
Nsg15
VFALSE
p95807
sbNNNNNNNg8
(g9
g10
NtRp95808
(dp95809
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95810
(dp95811
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95812
(dp95813
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pl_2013
p95814
sbNNtp95815
a(g8
(g9
g10
NtRp95816
(dp95817
g13
Nsg14
Nsg15
V99d4a09b-ae81-4600-a787-b35899a46121f
p95818
sbNg8
(g9
g10
NtRp95819
(dp95820
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (1km), May 2013
p95821
sbNNNNNg8
(g9
g10
NtRp95822
(dp95823
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95824
sbNNg8
(g9
g10
NtRp95825
(dp95826
g13
Nsg14
Nsg15
VFALSE
p95827
sbNNNg8
(g9
g10
NtRp95828
(dp95829
g13
Nsg14
Nsg15
VFALSE
p95830
sbNNg8
(g9
g10
NtRp95831
(dp95832
g13
Nsg14
Nsg15
VFALSE
p95833
sbNNg8
(g9
g10
NtRp95834
(dp95835
g13
Nsg14
Nsg15
VFALSE
p95836
sbNg8
(g9
g10
NtRp95837
(dp95838
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/99d4a09b-ae81-4600-a787-b35899a46121f.png
p95839
sbg8
(g9
g10
NtRp95840
(dp95841
g13
Nsg14
Nsg15
VEPSG:3035
p95842
sbg8
(g9
g10
NtRp95843
(dp95844
g13
Nsg14
Nsg15
V2019-07-02
p95845
sbNg8
(g9
g10
NtRp95846
(dp95847
g13
Nsg14
Nsg15
VGeographical grid systems
p95848
sbg8
(g9
g10
NtRp95849
(dp95850
g13
Nsg14
Nsg15
Vgridding
p95851
sbg8
(g9
g10
NtRp95852
(dp95853
g13
Nsg14
Nsg15
Vvector
p95854
sbg8
(g9
g10
NtRp95855
(dp95856
g13
Nsg14
Nsg15
VSHP
p95857
sbNg8
(g9
g10
NtRp95858
(dp95859
g13
Nsg14
Nsg15
V1000m
p95860
sbNg8
(g9
g10
NtRp95861
(dp95862
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95863
sbg8
(g9
g10
NtRp95864
(dp95865
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99d4a09b-ae81-4600-a787-b35899a46121f
p95866
sbg8
(g9
g10
NtRp95867
(dp95868
g13
Nsg14
g74
sg15
V2013
p95869
sbg8
(g9
g10
NtRp95870
(dp95871
g13
Nsg14
g74
sg15
V2013
p95872
sbg8
(g9
g10
NtRp95873
(dp95874
g13
Nsg14
Nsg15
VFALSE
p95875
sbg8
(g9
g10
NtRp95876
(dp95877
g13
Nsg14
Nsg15
VSwitzerland
p95878
sbg8
(g9
g10
NtRp95879
(dp95880
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95881
sbg8
(g9
g10
NtRp95882
(dp95883
g13
Nsg14
Nsg15
VFALSE
p95884
sbg8
(g9
g10
NtRp95885
(dp95886
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95887
sbg8
(g9
g10
NtRp95888
(dp95889
g13
Nsg14
Nsg15
VFALSE
p95890
sbNNNNNNNg8
(g9
g10
NtRp95891
(dp95892
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95893
(dp95894
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95895
(dp95896
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ch_2013
p95897
sbNNtp95898
a(g8
(g9
g10
NtRp95899
(dp95900
g13
Nsg14
Nsg15
V764116af-4c9c-4343-b2d4-1e48740d82b7f
p95901
sbNg8
(g9
g10
NtRp95902
(dp95903
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (1km), May 2013
p95904
sbNNNNNg8
(g9
g10
NtRp95905
(dp95906
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95907
sbNNg8
(g9
g10
NtRp95908
(dp95909
g13
Nsg14
Nsg15
VFALSE
p95910
sbNNNg8
(g9
g10
NtRp95911
(dp95912
g13
Nsg14
Nsg15
VFALSE
p95913
sbNNg8
(g9
g10
NtRp95914
(dp95915
g13
Nsg14
Nsg15
VFALSE
p95916
sbNNg8
(g9
g10
NtRp95917
(dp95918
g13
Nsg14
Nsg15
VFALSE
p95919
sbNg8
(g9
g10
NtRp95920
(dp95921
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/764116af-4c9c-4343-b2d4-1e48740d82b7f.png
p95922
sbg8
(g9
g10
NtRp95923
(dp95924
g13
Nsg14
Nsg15
VEPSG:3035
p95925
sbg8
(g9
g10
NtRp95926
(dp95927
g13
Nsg14
Nsg15
V2019-07-01
p95928
sbNg8
(g9
g10
NtRp95929
(dp95930
g13
Nsg14
Nsg15
VGeographical grid systems
p95931
sbg8
(g9
g10
NtRp95932
(dp95933
g13
Nsg14
Nsg15
Vgridding
p95934
sbg8
(g9
g10
NtRp95935
(dp95936
g13
Nsg14
Nsg15
Vvector
p95937
sbg8
(g9
g10
NtRp95938
(dp95939
g13
Nsg14
Nsg15
VSHP
p95940
sbNg8
(g9
g10
NtRp95941
(dp95942
g13
Nsg14
Nsg15
V1000m
p95943
sbNg8
(g9
g10
NtRp95944
(dp95945
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p95946
sbg8
(g9
g10
NtRp95947
(dp95948
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/764116af-4c9c-4343-b2d4-1e48740d82b7f
p95949
sbg8
(g9
g10
NtRp95950
(dp95951
g13
Nsg14
g74
sg15
V2013
p95952
sbg8
(g9
g10
NtRp95953
(dp95954
g13
Nsg14
g74
sg15
V2013
p95955
sbg8
(g9
g10
NtRp95956
(dp95957
g13
Nsg14
Nsg15
VFALSE
p95958
sbg8
(g9
g10
NtRp95959
(dp95960
g13
Nsg14
Nsg15
VIceland
p95961
sbg8
(g9
g10
NtRp95962
(dp95963
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p95964
sbg8
(g9
g10
NtRp95965
(dp95966
g13
Nsg14
Nsg15
VFALSE
p95967
sbg8
(g9
g10
NtRp95968
(dp95969
g13
Nsg14
Nsg15
VEuropean Environment Agency
p95970
sbg8
(g9
g10
NtRp95971
(dp95972
g13
Nsg14
Nsg15
VFALSE
p95973
sbNNNNNNNg8
(g9
g10
NtRp95974
(dp95975
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp95976
(dp95977
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp95978
(dp95979
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-is_2013
p95980
sbNNtp95981
a(g8
(g9
g10
NtRp95982
(dp95983
g13
Nsg14
Nsg15
V494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf
p95984
sbNg8
(g9
g10
NtRp95985
(dp95986
g13
Nsg14
Nsg15
VEEA reference grid for Iceland (10km), May 2013
p95987
sbNNNNNg8
(g9
g10
NtRp95988
(dp95989
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p95990
sbNNg8
(g9
g10
NtRp95991
(dp95992
g13
Nsg14
Nsg15
VFALSE
p95993
sbNNNg8
(g9
g10
NtRp95994
(dp95995
g13
Nsg14
Nsg15
VFALSE
p95996
sbNNg8
(g9
g10
NtRp95997
(dp95998
g13
Nsg14
Nsg15
VFALSE
p95999
sbNNg8
(g9
g10
NtRp96000
(dp96001
g13
Nsg14
Nsg15
VFALSE
p96002
sbNg8
(g9
g10
NtRp96003
(dp96004
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf.png
p96005
sbg8
(g9
g10
NtRp96006
(dp96007
g13
Nsg14
Nsg15
VEPSG:3035
p96008
sbg8
(g9
g10
NtRp96009
(dp96010
g13
Nsg14
Nsg15
V2019-07-01
p96011
sbNg8
(g9
g10
NtRp96012
(dp96013
g13
Nsg14
Nsg15
VGeographical grid systems
p96014
sbg8
(g9
g10
NtRp96015
(dp96016
g13
Nsg14
Nsg15
Vgridding
p96017
sbg8
(g9
g10
NtRp96018
(dp96019
g13
Nsg14
Nsg15
Vvector
p96020
sbg8
(g9
g10
NtRp96021
(dp96022
g13
Nsg14
Nsg15
VSHP
p96023
sbNg8
(g9
g10
NtRp96024
(dp96025
g13
Nsg14
Nsg15
V10000m
p96026
sbNg8
(g9
g10
NtRp96027
(dp96028
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p96029
sbg8
(g9
g10
NtRp96030
(dp96031
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf
p96032
sbg8
(g9
g10
NtRp96033
(dp96034
g13
Nsg14
g74
sg15
V2013
p96035
sbg8
(g9
g10
NtRp96036
(dp96037
g13
Nsg14
g74
sg15
V2013
p96038
sbg8
(g9
g10
NtRp96039
(dp96040
g13
Nsg14
Nsg15
VFALSE
p96041
sbg8
(g9
g10
NtRp96042
(dp96043
g13
Nsg14
Nsg15
VIceland
p96044
sbg8
(g9
g10
NtRp96045
(dp96046
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p96047
sbg8
(g9
g10
NtRp96048
(dp96049
g13
Nsg14
Nsg15
VFALSE
p96050
sbg8
(g9
g10
NtRp96051
(dp96052
g13
Nsg14
Nsg15
VEuropean Environment Agency
p96053
sbg8
(g9
g10
NtRp96054
(dp96055
g13
Nsg14
Nsg15
VFALSE
p96056
sbNNNNNNNg8
(g9
g10
NtRp96057
(dp96058
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp96059
(dp96060
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp96061
(dp96062
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-is_2013
p96063
sbNNtp96064
a(g8
(g9
g10
NtRp96065
(dp96066
g13
Nsg14
Nsg15
V89ee806c-5804-40a6-a011-44a4b96478d9f
p96067
sbNg8
(g9
g10
NtRp96068
(dp96069
g13
Nsg14
Nsg15
VEEA reference grid for Switzerland (10km), May 2013
p96070
sbNNNNNg8
(g9
g10
NtRp96071
(dp96072
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p96073
sbNNg8
(g9
g10
NtRp96074
(dp96075
g13
Nsg14
Nsg15
VFALSE
p96076
sbNNNg8
(g9
g10
NtRp96077
(dp96078
g13
Nsg14
Nsg15
VFALSE
p96079
sbNNg8
(g9
g10
NtRp96080
(dp96081
g13
Nsg14
Nsg15
VFALSE
p96082
sbNNg8
(g9
g10
NtRp96083
(dp96084
g13
Nsg14
Nsg15
VFALSE
p96085
sbNg8
(g9
g10
NtRp96086
(dp96087
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/89ee806c-5804-40a6-a011-44a4b96478d9f.png
p96088
sbg8
(g9
g10
NtRp96089
(dp96090
g13
Nsg14
Nsg15
VEPSG:3035
p96091
sbg8
(g9
g10
NtRp96092
(dp96093
g13
Nsg14
Nsg15
V2019-07-02
p96094
sbNg8
(g9
g10
NtRp96095
(dp96096
g13
Nsg14
Nsg15
VGeographical grid systems
p96097
sbg8
(g9
g10
NtRp96098
(dp96099
g13
Nsg14
Nsg15
Vgridding
p96100
sbg8
(g9
g10
NtRp96101
(dp96102
g13
Nsg14
Nsg15
Vvector
p96103
sbg8
(g9
g10
NtRp96104
(dp96105
g13
Nsg14
Nsg15
VSHP
p96106
sbNg8
(g9
g10
NtRp96107
(dp96108
g13
Nsg14
Nsg15
V10000m
p96109
sbNg8
(g9
g10
NtRp96110
(dp96111
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p96112
sbg8
(g9
g10
NtRp96113
(dp96114
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9f
p96115
sbg8
(g9
g10
NtRp96116
(dp96117
g13
Nsg14
g74
sg15
V2013
p96118
sbg8
(g9
g10
NtRp96119
(dp96120
g13
Nsg14
g74
sg15
V2013
p96121
sbg8
(g9
g10
NtRp96122
(dp96123
g13
Nsg14
Nsg15
VFALSE
p96124
sbg8
(g9
g10
NtRp96125
(dp96126
g13
Nsg14
Nsg15
VSwitzerland
p96127
sbg8
(g9
g10
NtRp96128
(dp96129
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p96130
sbg8
(g9
g10
NtRp96131
(dp96132
g13
Nsg14
Nsg15
VFALSE
p96133
sbg8
(g9
g10
NtRp96134
(dp96135
g13
Nsg14
Nsg15
VEuropean Environment Agency
p96136
sbg8
(g9
g10
NtRp96137
(dp96138
g13
Nsg14
Nsg15
VFALSE
p96139
sbNNNNNNNg8
(g9
g10
NtRp96140
(dp96141
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp96142
(dp96143
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp96144
(dp96145
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-ch_2013
p96146
sbNNtp96147
a(g8
(g9
g10
NtRp96148
(dp96149
g13
Nsg14
Nsg15
V5407bd5f-8c05-4b1c-9b8e-812574d6f50ff
p96150
sbNg8
(g9
g10
NtRp96151
(dp96152
g13
Nsg14
Nsg15
VEEA reference grid for Albania (100km), May 2013
p96153
sbNNNNNg8
(g9
g10
NtRp96154
(dp96155
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p96156
sbNNg8
(g9
g10
NtRp96157
(dp96158
g13
Nsg14
Nsg15
VFALSE
p96159
sbNNNg8
(g9
g10
NtRp96160
(dp96161
g13
Nsg14
Nsg15
VFALSE
p96162
sbNNg8
(g9
g10
NtRp96163
(dp96164
g13
Nsg14
Nsg15
VFALSE
p96165
sbNNg8
(g9
g10
NtRp96166
(dp96167
g13
Nsg14
Nsg15
VFALSE
p96168
sbNg8
(g9
g10
NtRp96169
(dp96170
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff.png
p96171
sbg8
(g9
g10
NtRp96172
(dp96173
g13
Nsg14
Nsg15
VEPSG:3035
p96174
sbg8
(g9
g10
NtRp96175
(dp96176
g13
Nsg14
Nsg15
V2019-06-21
p96177
sbNg8
(g9
g10
NtRp96178
(dp96179
g13
Nsg14
Nsg15
VGeographical grid systems
p96180
sbg8
(g9
g10
NtRp96181
(dp96182
g13
Nsg14
Nsg15
Vgridding
p96183
sbg8
(g9
g10
NtRp96184
(dp96185
g13
Nsg14
Nsg15
Vvector
p96186
sbg8
(g9
g10
NtRp96187
(dp96188
g13
Nsg14
Nsg15
VSHP
p96189
sbNg8
(g9
g10
NtRp96190
(dp96191
g13
Nsg14
Nsg15
V100000m
p96192
sbNg8
(g9
g10
NtRp96193
(dp96194
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p96195
sbg8
(g9
g10
NtRp96196
(dp96197
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff
p96198
sbg8
(g9
g10
NtRp96199
(dp96200
g13
Nsg14
g74
sg15
V2013
p96201
sbg8
(g9
g10
NtRp96202
(dp96203
g13
Nsg14
g74
sg15
V2013
p96204
sbg8
(g9
g10
NtRp96205
(dp96206
g13
Nsg14
Nsg15
VFALSE
p96207
sbg8
(g9
g10
NtRp96208
(dp96209
g13
Nsg14
Nsg15
VAlbania
p96210
sbg8
(g9
g10
NtRp96211
(dp96212
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p96213
sbg8
(g9
g10
NtRp96214
(dp96215
g13
Nsg14
Nsg15
VFALSE
p96216
sbg8
(g9
g10
NtRp96217
(dp96218
g13
Nsg14
Nsg15
VEuropean Environment Agency
p96219
sbg8
(g9
g10
NtRp96220
(dp96221
g13
Nsg14
Nsg15
VFALSE
p96222
sbNNNNNNNg8
(g9
g10
NtRp96223
(dp96224
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp96225
(dp96226
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp96227
(dp96228
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-al_2013
p96229
sbNNtp96230
a(g8
(g9
g10
NtRp96231
(dp96232
g13
Nsg14
Nsg15
V87bb8619-5dbb-4e49-8509-3f273439a185
p96233
sbNg8
(g9
g10
NtRp96234
(dp96235
g13
Nsg14
Nsg15
VEuroBoundaryMap 2019 (EBM 2019), Jan. 2019
p96236
sbNNNNNg8
(g9
g10
NtRp96237
(dp96238
g13
Nsg14
Nsg15
VEuroBoundaryMap (EBM) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\u000aThis metadata refers to the version 2019 of EBM, which is a full update of all the countries. The dataset is provided both in a full Europe dataset (Data_FullEurope) and divided by countries (Data_Countries) in GDB and SHP formats, compressed (ZIP) and not compressed. EBM 2019 contains the matching with the NUTS regulations No 2016/2066 (NUTS 2016) and refers to the administrative situation as it was in each country on 1 January 2018 (reference date). \u000aThe EBM Full Europe database is containing Kosovo (KS) as an independent country, but the individual dataset of Serbia (RS) covers also Kosovo following Serbian legal position.\u000aFor more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v12), please refer to the documents EBM_2019_Specification.pdf, EBM_2019_TechnicalGuide.pdf and EBM_2019_Changes.pdf provided with the dataset under the folder "Documents" and "Descriptions_Metadata" under "Documentation" link. \u000aIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset under "Documentation" link. This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("Metadata_EBM_2019.xml" within the "Descriptions_Metadata").
p96239
sbNNg8
(g9
g10
NtRp96240
(dp96241
g13
Nsg14
Nsg15
VFALSE
p96242
sbNNNg8
(g9
g10
NtRp96243
(dp96244
g13
Nsg14
Nsg15
VFALSE
p96245
sbNNg8
(g9
g10
NtRp96246
(dp96247
g13
Nsg14
Nsg15
VFALSE
p96248
sbNNg8
(g9
g10
NtRp96249
(dp96250
g13
Nsg14
Nsg15
VFALSE
p96251
sbNg8
(g9
g10
NtRp96252
(dp96253
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/87bb8619-5dbb-4e49-8509-3f273439a185.png
p96254
sbg8
(g9
g10
NtRp96255
(dp96256
g13
Nsg14
Nsg15
VEPSG:4258
p96257
sbg8
(g9
g10
NtRp96258
(dp96259
g13
Nsg14
Nsg15
V2019-06-04
p96260
sbNg8
(g9
g10
NtRp96261
(dp96262
g13
Nsg14
Nsg15
VAdministrative units|Geographical names|Population distribution \u2014 demography|Statistical units
p96263
sbg8
(g9
g10
NtRp96264
(dp96265
g13
Nsg14
Nsg15
Vadministrative boundary|national boundary|sub-national boundary
p96266
sbg8
(g9
g10
NtRp96267
(dp96268
g13
Nsg14
Nsg15
Vvector
p96269
sbg8
(g9
g10
NtRp96270
(dp96271
g13
Nsg14
Nsg15
VFGeo|SHP
p96272
sbNg8
(g9
g10
NtRp96273
(dp96274
g13
Nsg14
Nsg15
V1:100000
p96275
sbNg8
(g9
g10
NtRp96276
(dp96277
g13
Nsg14
Nsg15
VDelivered separately for each national contribution. \u000aPlease refer to the documents "XX_Lineage_EBM.pdf" (where XX is the country acronym), stored under each corresponding country folder in "Descriptions_Metadata" provided together with the dataset under the link "Documentation".
p96278
sbg8
(g9
g10
NtRp96279
(dp96280
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87bb8619-5dbb-4e49-8509-3f273439a185
p96281
sbNNg8
(g9
g10
NtRp96282
(dp96283
g13
Nsg14
Nsg15
VFALSE
p96284
sbg8
(g9
g10
NtRp96285
(dp96286
g13
Nsg14
Nsg15
VAlbania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine
p96287
sbg8
(g9
g10
NtRp96288
(dp96289
g13
Nsg14
Nsg15
VThe Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\u000aThe license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.
p96290
sbg8
(g9
g10
NtRp96291
(dp96292
g13
Nsg14
Nsg15
VFALSE
p96293
sbNg8
(g9
g10
NtRp96294
(dp96295
g13
Nsg14
Nsg15
VFALSE
p96296
sbNNNNNNNg8
(g9
g10
NtRp96297
(dp96298
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp96299
(dp96300
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp96301
(dp96302
g13
Nsg14
Nsg15
Veurogeographics_v_4258_100_k_ebm-europe_i_2018_v13_r00
p96303
sbNNtp96304
a(g8
(g9
g10
NtRp96305
(dp96306
g13
Nsg14
Nsg15
Vdefe2664-966d-47a2-b7a5-939258ce008f
p96307
sbNg8
(g9
g10
NtRp96308
(dp96309
g13
Nsg14
Nsg15
VUrban Waste Water Treatment Directive, Agglomerations - INTERNAL VERSION - Nov. 2017
p96310
sbNNNNNg8
(g9
g10
NtRp96311
(dp96312
g13
Nsg14
Nsg15
VUWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \u000aDataset UWWTD_Agglomerations contains  agglomerations reported by countries with generated load \u2265 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.\u000aDataset contains all reported agglomerations, including inactive ones. Agglomerations with obviously wrong coordinates were excluded only.
p96313
sbNNg8
(g9
g10
NtRp96314
(dp96315
g13
Nsg14
Nsg15
VFALSE
p96316
sbNNNg8
(g9
g10
NtRp96317
(dp96318
g13
Nsg14
Nsg15
VFALSE
p96319
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VFALSE
p96322
sbNNg8
(g9
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p96325
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/defe2664-966d-47a2-b7a5-939258ce008f.png
p96328
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V2019-06-04
p96331
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VProduction and industrial facilities
p96334
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VUrban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality
p96337
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Vvector
p96340
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VSHP
p96343
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p96346
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VAgglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Agglomerations with obviously wrong coordinates were removed.\u000aIf the agglomeration coordinates were not reported, given agglomeration was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates aggLatitude and aggLongitude in the attribute table were set automatically to [0,0] values during the transformation process.
p96349
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/defe2664-966d-47a2-b7a5-939258ce008f
p96352
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p96355
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p96358
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p96361
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VFALSE
p96364
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p96367
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Veea_v_4258_100_m_uwwtd-agglo_i_2013-2014_v05_r00
p96374
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p96378
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VUrban Waste Water Treatment Directive, Treatment plants - INTERNAL VERSION - Nov. 2017
p96381
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VUWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period  (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \u000aDataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants.\u000aDataset contains all reported treatment plants, including inactive or not connected ones. Treatment plants with obviously wrong coordinates were excluded only.
p96384
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p96387
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p96390
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VFALSE
p96393
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p96396
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e5dabe9d-4efe-40bd-8834-08544ed3fb62.png
p96399
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p96402
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VProduction and industrial facilities
p96405
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VUrban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality
p96408
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p96411
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Nsg15
VSHP
p96414
sbNg8
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g13
Nsg14
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V100m
p96417
sbNg8
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VTreatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Treatment plants with obviously wrong coordinates were removed.\u000aIf the treatment plant coordinates were not reported, given treatment plant was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates uwwLatitude and uwwLongitude in the attribute table were set automatically to [0,0] values during the transformation process.
p96420
sbg8
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NtRp96421
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e5dabe9d-4efe-40bd-8834-08544ed3fb62
p96423
sbNNg8
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NtRp96424
(dp96425
g13
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VFALSE
p96426
sbg8
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VEEA39
p96429
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p96432
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NtRp96433
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g13
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VFALSE
p96435
sbNg8
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NtRp96436
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g13
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VFALSE
p96438
sbNNNNNNNg8
(g9
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NtRp96439
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V
sbg8
(g9
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g13
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V
sbNNg8
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NtRp96443
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Nsg14
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Veea_v_4258_100_m_uwwtd-tp_i_2013-2014_v05_r00
p96445
sbNNtp96446
a(g8
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NtRp96447
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V66c3b90b-8fc9-434c-b039-e38eef83c4b9
p96449
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NtRp96450
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VSoil maps of European Food Agency Data (EFSA), bulk density of the topsoil - version 1.0, Oct. 2010
p96452
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NtRp96453
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VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\u000a			\u000a			This dataset contains the topsoil bulk density expressed in kg.m^-3\u000a						\u000a			This metadata record is adapted from the orginal one received from JRC.
p96455
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Vhttps://esdac.jrc.ec.europa.eu
p96458
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VFALSE
p96461
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VFALSE
p96464
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VFALSE
p96467
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(g9
g10
NtRp96468
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g13
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VFALSE
p96470
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NtRp96471
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/66c3b90b-8fc9-434c-b039-e38eef83c4b9.png
p96473
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VEPSG:3035
p96476
sbg8
(g9
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g13
Nsg14
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V2019-06-04
p96479
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Vdensity|soil
p96482
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g13
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Vgrid
p96485
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VAAIGrid
p96488
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Nsg15
V1000m
p96491
sbNg8
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NtRp96492
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VRefer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].
p96494
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66c3b90b-8fc9-434c-b039-e38eef83c4b9
p96497
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g13
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VFALSE
p96500
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VSoil
p96503
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Nsg14
Nsg15
VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p96506
sbg8
(g9
g10
NtRp96507
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g13
Nsg14
Nsg15
VFALSE
p96509
sbg8
(g9
g10
NtRp96510
(dp96511
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p96512
sbg8
(g9
g10
NtRp96513
(dp96514
g13
Nsg14
Nsg15
VFALSE
p96515
sbNNNNNNNg8
(g9
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NtRp96516
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g13
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V
sbg8
(g9
g10
NtRp96518
(dp96519
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp96520
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g13
Nsg14
Nsg15
Vjrc_r_3035_1_km_efsa-soil-maps-rho_2008-2009_rev01
p96522
sbNNtp96523
a(g8
(g9
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g13
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V2b47ab28-dc02-4104-af60-f99c27b5f483
p96526
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(g9
g10
NtRp96527
(dp96528
g13
Nsg14
Nsg15
VSoil maps of European Food Agency Data (EFSA), texture class of the topsoil - version 1.0, Oct. 2010
p96529
sbNNNNNg8
(g9
g10
NtRp96530
(dp96531
g13
Nsg14
Nsg15
VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\u000a\u000aThis dataset contains the topsoil texture class expressed as relative proportion (%):\u000aValue ID: 1  --- Texture: Coarse (18% < clay and > 65% sand)\u000aValue ID: 2  --- Texture: Medium (18% < clay < 35% and >= 15% sand, or 18% < clay and 15% < sand < 65%)\u000aValue ID: 3  --- Texture: Medium fine (< 35% clay and < 15% sand)\u000aValue ID: 4  --- Texture: Fine (35% < clay < 60%)\u000aValue ID: 5  --- Texture: Very fine (clay > 60%)\u000aValue ID: 9  --- Texture: No mineral texture (Peat soils)\u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
p96532
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NtRp96533
(dp96534
g15
Vhttps://esdac.jrc.ec.europa.eu
p96535
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NtRp96536
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g13
Nsg14
Nsg15
VFALSE
p96538
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VFALSE
p96541
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VFALSE
p96544
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(dp96546
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Nsg15
VFALSE
p96547
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(g9
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b47ab28-dc02-4104-af60-f99c27b5f483.png
p96550
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VEPSG:3035
p96553
sbg8
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(dp96555
g13
Nsg14
Nsg15
V2019-06-04
p96556
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Vgrid
p96562
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VAAIGrid
p96565
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V1000m
p96568
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VRefer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].
p96571
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b47ab28-dc02-4104-af60-f99c27b5f483
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VFALSE
p96577
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VSoil
p96580
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VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p96583
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g10
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g13
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Nsg15
VFALSE
p96586
sbg8
(g9
g10
NtRp96587
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g13
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Nsg15
VEuropean Commission, Joint Research Centre
p96589
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(g9
g10
NtRp96590
(dp96591
g13
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Nsg15
VFALSE
p96592
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(g9
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NtRp96593
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V
sbg8
(g9
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NtRp96595
(dp96596
g13
Nsg14
Nsg15
V
sbNNg8
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VSoil maps of European Food Agency Data (EFSA) - version 1.0, Oct. 2010
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VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. Soil maps: Organic matter content of the topsoil, pH of the topsoil, Bulk density of the topsoil, Texture of the topsoil, Water content at field capacity.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
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Vhttps://esdac.jrc.ec.europa.eu
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1a5a044-5e81-460a-b555-6ddee36e5fac.png
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VRefer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1a5a044-5e81-460a-b555-6ddee36e5fac
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VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
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VThis personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains different ancillary datasets of Ecrins v1.0. the number and contents of the ancillary.\u000aThe most relevant feature class is the C_dams that documents the dams that have a position accurately recorded. Hence this layer is likely to be updated if new coordinates are obtained (coordinates and dams update is a continuous work by the EEA). Dams are related to river segments and to lakes. It may happen that a dam is not related for several reasons: dams coordinates are inaccurate; position of lake / segment is inaccurate and too far and I some cases the lake does not exist (e.g. less than 25 ha, not yet filled or the dams makes no lake) or the segment does not exist for example is the lake has no river to empty it.\u000aThe second ancillary data set id the features class of FECs centroids, it has been placed here to avoid inflating the EcrFEC database and make it at a safe distance of the 2GB impassable threshold of MS Access® .\u000aThe two last ancillary dataset are flat table making it possible to retrieve source CCM catchments that contributed to FECS, table FECvsW1, with reference to the smallest entity aggregated as FEC. second table is TR_TR0 giving equivalence of the segment ID in version 0 to the current version. Both tables are only for those experts working in parallel with CCM.\u000aFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.
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Vhttps://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network
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p96722
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VAll data sets are from other Ecrins, except the dams table that is taken from Eldred2. This later data sets is limited in access and only public information is set in this Ecrins ancillary data set.\u000aNon catalogued dams have been added as complements of lakes reported under the WFD when the lake reported had been created as artificial reservoir (e.g. Alqueva lake results of the Alqueva dam). In this case, individual updates have been carried out.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/663e4a29-3a1c-461b-9975-174f46ccd944
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p96731
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p96737
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VFALSE
p96740
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VEuropean Environment Agency
p96743
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VFALSE
p96746
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p96753
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VCoastal waters - version 1, Oct. 2013
p96760
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V"Coastal water" are surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters.
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Vhttps://www.eea.europa.eu/data-and-maps/data/transitional-and-coastal-reference-layers
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VSHP
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V1:100000
p96799
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VThe TC reference layers update version 20130626 is an update for the version 20121204. It was compiled to include feedback received from Member States during and after the Working Group D in April/May 2013.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d7b3d8f-084c-4c26-8c0c-fc43232cb80a
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VHydrography
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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p96820
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VEuropean soil database (ESDB), Dominant STU rasters (Soil Topologycal Units) - version 2.0, May 2006
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VThe European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE).\u000a			\u000a			Raster values have been derived using the "features to raster" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the "dominant STU" principle for the "dominant STU" rasters.\u000a			\u000a			Dominant STU  principle: For each SMU (Soil Mapping Unit): a \u201cdominant STU\u201d is associated. (\u201cdominant\u201d in terms of % of area). The value of a soil attribute A (e.g. depth-to-rock) for this SMU would be the value that A has within that dominant STU.\u000a\u000aThe attributes are described at:			\u000ahttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm\u000ahttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm\u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
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Vhttps://esdac.jrc.ec.europa.eu
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p96885
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VNotification regarding these data:\u000a\u000a    The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\u000a    Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.
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V"Transitional waters" are bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VThis personal geodatabase (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the \u201clakes\u201d datasets of Ecrins v1.0\u000aLakes are very important features of any hydrographical system and have hence been added to Ecrins. This feature is more uncertain than the other ones since it results from the processing of different sources under a twin constraint of relevance and free of charges accessibility.\u000aThe current layer comprises 70,847 lake objects, that will certainly be updated in the months to come. A lake is, as a river both a geometric and cultural object. In areas where many lakes are intertwined, the difference between one and several lakes is often that a name has been found or not or that the Corine Land cover maker has placed a limit or not.\u000aThe database comprises the following tables: feature class C_Lak with all information related to all still waterbodies which area is more than the Corine Land cover threshold, plus those identified because a reservoir or any other relevant source. This table is completed by the centroids of lakes, V_lak_Centro. The complex relationships between lakes and river segments are documented by table lakInOut where the inlet and the outlet(s) segments are reported. Complementary tables, needed by the water accounts, v_lakperadmin et v_linterfec respectively document the lake to administrative entities, with shared area and same with FECs.\u000aBeing in relation with the other components of Ecrins, lakes are versioned with respect to catchments and rivers and with their update as well.\u000aLake naming comes from fours sources: ERM, Eldred2, Art 13 reporting and Wikipedia.\u000aHydrographical information (volume, Zaverage, Zmax) and is permanently updated from three source: Eldred2, the dams database,  and Wikipedia \u000aIn version 1.0, the history of lakes is not documented. Most natural lakes have a time span much before and beyond the expected duration of Ecrins. Artificial lakes, related to dams have their history documented with the dam and some natural lakes are intermittent. This last category is not documented.\u000aSince lower limit for lake inclusion is 25 ha, all \u201cmain lakes\u201d under the WFD acceptation are present (except if missed for any reason, the most likely being creation of an artificial reservoir not present in the latest update).\u000aFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.
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VMain source is Corine Land cover 2006, checked against ERM lakes layer for identifying relevance of Corine Land cover classification. Secondary sources are Eldred2 (EEA dams database) and WFD Art 13 deliveries. For example, a large dams mentioned in Eldred with a lake of sufficient area is verified against the lake layer and eventual correction on Corine Land cover is carried out; this was often the case for narrow and long reservoirs on rivers that are frequently clustered, forgotten or ill-classified in Corine Land cover. The presence of lake in different sources is mentioned in the C_lak table and if possible the ID of the source element reported as well as the ID of the matched ERM lake, hence making a bridge between the Ecrins (operational data set) and the user of ERM (geographical data set).\u000aLake naming comes pro-parte from ERM, when a match is found and verified against other sources, from Art 13 reporting and from Wikipedia. Lakes matched to Wikipedia entries are as well flagged.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\u000a			\u000a			This dataset represents the organic matter content of the topsoil expressed as concentration (%).\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
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VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
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p97143
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VThis personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the aggregation catchments datasets of Ecrins v1.0\u000aThe purpose of Ecrins is modelling and homogeneous assessment of any data sets and information in relation with continental catchment systems. The WFD is the main driver of creation of such aggregates.\u000aThe uppermost aggregate of the WFD is the \u201criver basin district\u201d that is not hydrological entity. It is analysed as i) all those FECS being in majority in the official RBD delineation, ii) all those FECs, topologically connected, that are the closet shaping of the RBD, the \u201cfunctional RBD\u201d. For example, the upper Garonne is in the first case attached the Ebro RBD and to the Garonne functional RBD because the water empties in the Gironde, not in the Mediterranean\u000aRBD sizes lay in a wide range. Two categories of sub-basins have been designed, the \u201csub-basins Strahler, aggregated from a Strahler order criterion and the natural sub-basins, aggregated from a main affluent criterion. Both apportion functional RBDs.\u000aThe tables are C_B, the catchments that empty on a se-shore (as the seas from SeaVox, care taken of islands: e.g. England and France vs. British Channel are different C_B, despite same sea shore)\u000aRBD_Int_clp are the RBDs, dissolved as international RBDs;\u000aC_FRBD functional RBDs\u000aC_SS: sub-basins based on Strahler definition, C_SB: sub-basins natural\u000aC_NUTS: harmonised table of \u201cpseudo nuts\u201d used to document FECs (largest share of FEC in a NUT). NUT level has been selected to match best French NUTS2, making appropriate aggregate in those countries not using the NUTs classification;\u000aC_try: delineation of countries to which FECs have been set.\u000aThe ID of each feature in each feature class are those in the C_Zhyd table of EcrFEC.\u000aFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.
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Vhttps://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5fd67b22-2e7e-445c-b466-a0faa842001a.png
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VEPSG:3035
p97187
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V2019-06-04
p97190
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Vhydrography
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p97202
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VTo be completed
p97205
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fd67b22-2e7e-445c-b466-a0faa842001a
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VTRUE
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VHydrography
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p97223
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VFALSE
p97226
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VEuropean Environment Agency
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p97232
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V
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Veea_v_3035_250_k_ecrins-agg-catch_1990-2006_rev01
p97239
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VEU-DEM (raster) - version 1.0, Apr. 2016
p97246
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VEU-DEM v1.0 is a digital surface model (DSM) representing the first surface as illuminated by the sensors. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach and generated as a contiguous dataset divided into 1 degree by 1 degree tiles, corresponding to the SRTM naming convention. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08. These tiles have then been aggregated into 5°x5° tiles which have been projected to ETRS-LAEA by the Joint Research Centre (JRC) of the European Commission.\u000a\u000aThe implementation of EU-DEM v1.0 was coordinated by the European Commission in 2009-2011 in the framework of the Reference Data Access (RDA) Action of the EU GMES/Copernicus programme.
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Vhttps://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/eu-dem-v1.0/view
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p97255
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p97261
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VFALSE
p97264
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/19cff95e-61ac-45ed-8ee3-c43220d709cf.png
p97267
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VEPSG:3035
p97270
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V2019-06-04
p97273
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Vdigital land model|land cover|land use|landscape alteration
p97276
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Vgrid
p97279
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VGTiff
p97282
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V25m
p97285
sbNg8
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VThe EU-DEM v1.0 is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM v1.0 is edited to ensure that water features are adequately represented and consistent with the hydrography layer. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographical features and pits and bumps. In areas above 60 degrees North, the EU-DEM generation process is supported by other DEM data sources provided by the JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.
p97288
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19cff95e-61ac-45ed-8ee3-c43220d709cf
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p97294
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V2000
p97297
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VFALSE
p97300
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VElevation|geospatial data|EEA39
p97303
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p97306
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VFALSE
p97309
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VEuropean Environment Agency
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VFALSE
p97315
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V
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V
sbNNg8
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Vcopernicus_r_3035_25_m_eu-dem_2000_rev1-0
p97322
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Vcc8760bd-58d5-4aca-b3bb-cae933cc80e7
p97326
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VSoil maps of European Food Agency Data (EFSA), water content at field capacity of the topsoil - version 1.0, Oct. 2010
p97329
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VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\u000a			\u000a			This dataset contains the topsoil water content at field capacity expressed in m^3 m^-3.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
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Vhttps://esdac.jrc.ec.europa.eu
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p97338
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc8760bd-58d5-4aca-b3bb-cae933cc80e7.png
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VEPSG:3035
p97353
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V2019-06-04
p97356
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Vsoil|water (geographic)
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Vgrid
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VAAIGrid
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V1000m
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VRefer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc8760bd-58d5-4aca-b3bb-cae933cc80e7
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p97377
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VTRUE
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VSoil
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VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
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VEuropean Commission, Joint Research Centre
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p97398
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VEUNIS habitat type F3-1h distribution based on vegetation plot data - version 1, June 2016
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VThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
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Vhttps://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis
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p97439
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Vvector
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VSHP
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VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299482e6-917d-41a7-861b-73289a37b809
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V1940
p97460
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V2011
p97463
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Nsg14
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VTRUE
p97466
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Nsg14
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VEurope|Habitats and biotopes
p97469
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p97472
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VFALSE
p97475
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VEuropean Environment Agency
p97478
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VFALSE
p97481
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V
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Veea_v_3035_10_mio_eunis-hab-f3-1h_1940-2011_rev01
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V08e7b052-3c4c-4545-943f-63db46be0a66
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VEuropean soil database (ESDB), Dominant value rasters - version 2.0, May 2006
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VThe European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE).\u000a			\u000a			Raster values have been derived using the "features to raster" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the "dominant value" principle for the "dominant value" rasters.\u000a			\u000a			Dominant Value principle: For each SMU (Soil Mapping Unit) and for a soil attribute P: the value of P is the class value that appears most within the SMU, i.e. each SMU is fully coloured with the colour assigned to the attribute class which is dominant within each SMU.\u000a\u000aThe attributes are described at:			\u000ahttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm\u000ahttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm\u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
p97498
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Vhttps://esdac.jrc.ec.europa.eu
p97501
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VFALSE
p97504
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VFALSE
p97507
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/08e7b052-3c4c-4545-943f-63db46be0a66.png
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p97519
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V2019-06-04
p97522
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VSoil
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Vgrid
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VAAIGrid
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Nsg15
V1000m
p97534
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NtRp97535
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Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDB_data_1k_raster_intro/ESDB_1k_raster_data_intro.html
p97537
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08e7b052-3c4c-4545-943f-63db46be0a66
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V2001
p97543
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V2006
p97546
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g10
NtRp97547
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g13
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VTRUE
p97549
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VSoil
p97552
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VNotification regarding these data:\u000a\u000a    The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\u000a    Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.
p97555
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VFALSE
p97558
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VEuropean Commission, Joint Research Centre
p97561
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VFALSE
p97564
sbNNNNNNNg8
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V
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V
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Vjrc_r_3035_1_km_esdb-dom-val_2001-2006_rev02
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Vbd74cfd5-9d4d-44c9-9ef9-67279c10e2fc
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VSoil maps of European Food Agency Data (EFSA), pH of the topsoil - version 1.0, Oct. 2010
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VIn the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\u000a			\u000a			This dataset contains the topsoil pH.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
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NtRp97582
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Vhttps://esdac.jrc.ec.europa.eu
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VFALSE
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VFALSE
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VFALSE
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc.png
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VEPSG:3035
p97602
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V2019-06-04
p97605
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(dp97607
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VpH-value|soil
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Vgrid
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V1000m
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VRefer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc
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V2008
p97626
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V2009
p97629
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VTRUE
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VSoil
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VConditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\u000a				\u000a				Notification regarding these data: \u000a\u000a1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \u000a2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \u000a3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \u000a4.The user agrees to: \u000a   a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \u000a   b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a \u000a\u000aReference of source (Citations) : \u000a\u000a1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \u000a2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
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VFALSE
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VEuropean Commission, Joint Research Centre
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VFALSE
p97647
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V4a77ed8d-7076-4ff0-9600-224ad48754ac
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VCorine Land Cover 2006 - 2012 changes (raster 250m) - version 18, Mar. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a77ed8d-7076-4ff0-9600-224ad48754ac.png
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V2019-06-04
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Vland cover|land use|landscape|landscape alteration
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Vgrid
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V250m
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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Vcopernicus_r_3035_250_m_clc_2011-2012_rev18
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VAssessment of contamination status using CHASE+ excluding metals, Mar. 2019
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VThis dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of metals.\u000aThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\u000aThis dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).
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Vcontamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water
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VThis assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\u000aBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\u000aMore information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.
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VAdriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VCorine Land Cover 2000 (raster 100m) - version 18, Mar. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b14f13-a4bb-498b-a99c-2bed6d644a96.png
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V2019-06-04
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Vland cover|land use|landscape|landscape alteration
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Vvector
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b14f13-a4bb-498b-a99c-2bed6d644a96
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VLand cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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Vcopernicus_v_3035_100_m_clcc_1986-2001_rev18
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VPotential quiet areas in Europe, based upon Quietness Suitability Index (QSI) and Natura 2000 protected areas, Jul. 2016
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VWithin the European Union, the Environmental Noise Directive (END; 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. In this dataset, two datasets has been brought together to visualize how human made noise have an impact on nature protected areas: the Natura2000 dataset and the quietness suitable index dataset.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc.png
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VCalculation and intersections of layers:\u000a1. Calculation of QSI for european countries.\u000a2. Intersection with Natura 2000 protected areas.\u000a\u000aData sources:\u000a- END: major roads, major railways and major airports noise contour maps (2012)\u000a- END: location of major roads and major railways and major airports\u000a- Urban morphological zones (UMZ) from CLC 2006\u000a- E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014.\u000a- Corine Land Cover and Land Use data 2006 (CLC) (100 × 100 m grid)\u000a- Corine Land Cover 2000 for Greece\u000a- EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012)\u000a- Natura 2000\u000a- The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory.
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VAssessment of contamination status using CHASE+ excluding PBDEs, Mar. 2019
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VThis dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of polybrominated diphenyl ethers (PBDEs)\u000aThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\u000aThis dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).
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V2019-06-04
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Vcontamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water
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V20km
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VThis assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\u000aBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\u000aMore information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.
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VAdriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Veea_v_3035_20_km_chase-exclpbdes_p_2009-2016_v01_r00
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VCorine Land Cover 1990 (raster 100m) - version 18, Mar. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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V2019-06-04
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Vland cover|land use|landscape|landscape alteration
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Vgrid
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VLand cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VLand cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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Vcopernicus_r_3035_100_m_clcc_1986-2001_rev18
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VAssessment of contamination status using CHASE+ excluding mercury (Hg), Mar. 2019
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VThis dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of mercury (Hg).\u000aThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\u000aThis dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).
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Vcontamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water
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VThis assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\u000aBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\u000aMore information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.
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VAdriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VCorine Land Cover 2000 - 2006 changes (vector) - version 18, Mar. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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V2019-06-04
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Vland cover|land use|landscape|landscape alteration
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Vvector
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe natural sub basins of Europe is a feature dataset which subdivides natural basins bigger than 40,000 square Kilometres into sub catchments of a surface between 10,000 square Kilometres and 40,000 square Kilometres. Sub basins are defined  using the catchment area of big tributaries as much as possible, and subdividing the main course of the river into upper, medium, and lower parts of the basin. The target is having a spatially homogeneous, but still with hydrological meaning units. These subdivisions are nested when river basins are big and tributaries drain a surface bigger than 40,000 square Kilometres, which in the case of Danube and Volga makes up to 3 levels of sub basins.
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VThe natural sub basins layer is derived from ECRINS FECs. The process for creating them consists of a semi-automated procedure by which first FECs belonging to basins bigger than 40,000 square Kilometres are selected. Inside that basin, tributaries to the main river with a drainage surface bigger than 10,000 square Kilometres are taken as separate sub basins. If the area of an individual sub basin is bigger than 40,000 square Kilometres, then it is further subdivided as a normal basin. This loop continues until there is no tributary left with a surface bigger than 40,000 square Kilometres. \u000a\u000aIn big river basins, nested subdivisions occur when the resulting sub basin divided using main tributaries happen to be bigger than 40,000 square Kilometres. The main course of the river after removing tributaries can still have a surface bigger than 40,000 square Kilometres. In such case, it is further subdivided by manually selecting the last FEC downstream of the upper sub basin. The selection is made taking into consideration the shape of the basin, the proximity of other subdivision because of big tributaries, the presence of tributaries below the 10,000 square Kilometres threshold, and the surface upstream not being subdivided yet to be bigger than 10,000 and smaller than 40,000 square Kilometres.\u000a\u000aThis classification is done editing FECs\u2019 attribute SB. After that they are dissolved with multipart option, and using the field SB, into the sub basins.
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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Vcopernicus_r_3035_250_m_clc_2005-2007_rev18
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VAssessment of contamination status using CHASE+, Mar. 2019
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VThis dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019.\u000aThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\u000aThis dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).
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Vcontamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water
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VThis assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\u000aBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\u000aMore information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.
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VAdriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VCorine Land Cover 2000 (raster 250m) - version 18, Mar. 2016
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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V2019-06-04
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Vland cover|land use|landscape|landscape alteration
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. 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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aMinimum Mapping Width: 100 m\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. 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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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VVersion 18 (V18)\u000aRelease date: 19-09-2016 (see V18_5_1)\u000aMain purpose of the release: Publication of the final, corrected CLC 2012 data.\u000aThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\u000a Changes from previous main release (Version 17): \u000a\u2022	Inclusion of CLC 2012 layers for all the EEA39 countries.\u000a\u2022	Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\u000a\u2022	Revised CLC 2000 and CLC 2006 layers were made available (V18_5).\u000a\u2022	Change in rasterization algorithm (V18_2).\u000aKnown problems: \u000a\u2022	Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\u000a\u2022	Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\u000a\u000aSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\u000a\u000aVersion 17 (V17)\u000aRelease date: 02-12-2013\u000aMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\u000aChanges from previous release (V16): \u000a\u2022	Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \u000a\u000aVersion 16 (V16)\u000aRelease date: 15-04-2012   \u000aMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\u000aChanges from previous release (V15): \u000a\u2022	CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\u000a\u2022	CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\u000a\u2022	Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\u000a\u2022	A few coding inconsistences were corrected.\u000a\u000aVersion 15 (V5) \u000aRelease date: 20-07-2011 \u000aMain purpose: Publication of final CLC2 006 data.\u000aThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \u000aChanges from previous release (V14 (V4)): \u000a\u2022	CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\u000a\u2022	A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \u000a\u2022	For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \u000a\u2022	Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\u000a\u000aVersion 14 (V4)\u000aRelease date: 25-10-2010\u000aMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\u000aChanges from previous release (V13 (V3)): \u000a\u2022	CLC 2006 European coverage includes 37 full countries of EEA39.  New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\u000a\u2022	New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\u000a\u2022	New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\u000a\u000aThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\u000a\u2022	No-data buffer (code 999) outside of valid data area was deleted.\u000a\u2022	Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\u000a\u2022	Remaining neighbour polygons with the same code were resolved by additional dissolve operation.\u000a\u000aVersion 13 (V3)\u000aRelease date: 02/2010 \u000aMain purpose: Publication of initial European coverage of CLC 2006 data. \u000aChanges from previous release (V2): \u000a\u2022	Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \u000a\u2022	First seamless release in ESRI Geodatabase format.\u000a\u2022	Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\u000a\u2022	Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\u000a\u2022	Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\u000a\u000aVersion 2 (V2)\u000aRelease date: 09/2009\u000aMain purpose: Publication of final CLC 2000 coverages.\u000aThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \u000aChanges from previous release (V1): \u000a\u2022	It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \u000a\u2022	New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \u000a\u2022	CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\u000a\u2022	The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\u000a\u000aVersion 1 (V1)\u000aRelease date: 08/2005                 \u000aMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\u000aChanges from previous release (V0): \u000a\u2022	The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\u000a\u2022	The production of the first CLCC database has started, but no consolidated methodology was available.\u000a\u2022	Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\u000a\u2022	CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \u000a\u2022	Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \u000a\u2022	Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \u000a\u2022	Vector to raster conversion: \u201ccell centre\u201d method was applied.\u000a\u2022	The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\u000a\u2022	Dual ownership of CLC and CLCC data (EEA and the country) was introduced. \u000a\u000aVersion 0 (V0)\u000aRelease dates: up to 12/2000\u000aMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\u000aThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\u000a\u2022	CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\u000a\u2022	The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\u000a\u2022	Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\u000a\u2022	Data dissemination policy was unclear.
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VTRUE
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VLand cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VAssessment of contamination status using CHASE+ excluding mercury (Hg) and PBDEs, Mar. 2019
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VThis dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of mercury (Hg) and polybrominated diphenyl ethers (PBDEs)\u000aThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\u000aThis dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).
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V2019-06-04
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Vcontamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water
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VThis assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\u000aBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\u000aMore information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc018b57-05ba-4692-b96b-809983a3a983
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VTRUE
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VAdriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VThe Soil Geographical Database of Eurasia at Scale 1:1,000,000 is part of the European Soil Informaton System (EUSIS). It is the resulting product of a collaborative project involving all the European Union and neighbouring countries. It is a simplified representation of the diversity and spatial variability of the soil coverage. The methodology used to differentiate and name the main soil types is based on the terminology of the F.A.O. legend for the Soil Map of the World at Scale 1:5,000,000. This terminology has been refined and adapted to take account of the specificities of the landscapes in Europa. It is itself founded on the distinction of the main pedogenetic processes leading to soil differentiation: brunification, lessivage, podzolisation, hydromorphy, etc.\u000a\u000aThe database contains a list of Soil Typological Units (STU). Besides the soil names they represent, these units are described by variables (attributes) specifying the nature and properties of the soils: for example the texture, the water regime, the stoniness, etc. The geographical representation was chosen at a scale corresponding to the 1:1,000,000. At this scale, it is not feasible to delineate the STUs. Therefore they are grouped into Soil Mapping Units (SMU) to form soil associations and to illustrate the functioning of pedological systems within the landscapes.\u000a\u000aHarmonisation of the soil data from the member countries is based on a dictionary giving the definition for each occurrence of the variables. Considering the scale, the precision of the variables is weak. Furthermore these variables were estimated over large areas by expert judgement rather than measured on local soil samples. This expertise results from synthesis and generalisation tasks of national or regional maps published at more detailed scales, for example 1:50,000 or 1:25,000 scales. Delineation of the Soil Mapping Units is also the result of expertise and experience. Heterogeneity can be considerable in European regions. The spatial variability of soils is very important and is difficult to express at global levels of precision. Quality indices of the information (purity and confidence level) are included with the data in order to guide usage.\u000a\u000aThis metadata record is adapted from the orginal one received from JRC.
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VNotification regarding these data:\u000a\u000a    The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\u000a    Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.
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VGlobal Soil Organic Carbon Estimates in topsoil (5 arcmin), Mar. 2012
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VGlobal estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\u000a\u000a			This dataset contains the organic carbon density (t ha-1) for the topsoil (0 \u2013 30cm) from the amended HWSD.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
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Nsg14
Nsg15
VRefer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]
p99821
sbg8
(g9
g10
NtRp99822
(dp99823
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4
p99824
sbNNg8
(g9
g10
NtRp99825
(dp99826
g13
Nsg14
Nsg15
VFALSE
p99827
sbg8
(g9
g10
NtRp99828
(dp99829
g13
Nsg14
Nsg15
VSoil
p99830
sbg8
(g9
g10
NtRp99831
(dp99832
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\u000a    The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p99833
sbg8
(g9
g10
NtRp99834
(dp99835
g13
Nsg14
Nsg15
VFALSE
p99836
sbg8
(g9
g10
NtRp99837
(dp99838
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p99839
sbg8
(g9
g10
NtRp99840
(dp99841
g13
Nsg14
Nsg15
VFALSE
p99842
sbNNNNNNNg8
(g9
g10
NtRp99843
(dp99844
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp99845
(dp99846
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp99847
(dp99848
g13
Nsg14
Nsg15
Vjrc_r_4326_5_arcmin_org-c-top_2009
p99849
sbNNtp99850
a(g8
(g9
g10
NtRp99851
(dp99852
g13
Nsg14
Nsg15
V7a9764ac-c2b4-4953-9ef0-969d621d4d9b
p99853
sbNg8
(g9
g10
NtRp99854
(dp99855
g13
Nsg14
Nsg15
VArsenic (As) concentration in topsoils, Sep. 2007
p99856
sbNNNNNg8
(g9
g10
NtRp99857
(dp99858
g13
Nsg14
Nsg15
VMaps of estimated total arsenic concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p99859
sbg8
(g23
g10
NtRp99860
(dp99861
g15
Vhttps://esdac.jrc.ec.europa.eu
p99862
sbNg8
(g9
g10
NtRp99863
(dp99864
g13
Nsg14
Nsg15
VFALSE
p99865
sbNNNg8
(g9
g10
NtRp99866
(dp99867
g13
Nsg14
Nsg15
VFALSE
p99868
sbNNg8
(g9
g10
NtRp99869
(dp99870
g13
Nsg14
Nsg15
VFALSE
p99871
sbNNg8
(g9
g10
NtRp99872
(dp99873
g13
Nsg14
Nsg15
VFALSE
p99874
sbNg8
(g9
g10
NtRp99875
(dp99876
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7a9764ac-c2b4-4953-9ef0-969d621d4d9b.png
p99877
sbg8
(g9
g10
NtRp99878
(dp99879
g13
Nsg14
Nsg15
VEPSG:3035
p99880
sbg8
(g9
g10
NtRp99881
(dp99882
g13
Nsg14
Nsg15
V2019-06-04
p99883
sbNNg8
(g9
g10
NtRp99884
(dp99885
g13
Nsg14
Nsg15
Varsenic|concentration|heavy metal|soil
p99886
sbg8
(g9
g10
NtRp99887
(dp99888
g13
Nsg14
Nsg15
Vgrid
p99889
sbg8
(g9
g10
NtRp99890
(dp99891
g13
Nsg14
Nsg15
VAAIGrid
p99892
sbNg8
(g9
g10
NtRp99893
(dp99894
g13
Nsg14
Nsg15
V5000m
p99895
sbNg8
(g9
g10
NtRp99896
(dp99897
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p99898
sbg8
(g9
g10
NtRp99899
(dp99900
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a9764ac-c2b4-4953-9ef0-969d621d4d9b
p99901
sbNNg8
(g9
g10
NtRp99902
(dp99903
g13
Nsg14
Nsg15
VFALSE
p99904
sbg8
(g9
g10
NtRp99905
(dp99906
g13
Nsg14
Nsg15
VSoil
p99907
sbg8
(g9
g10
NtRp99908
(dp99909
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p99910
sbg8
(g9
g10
NtRp99911
(dp99912
g13
Nsg14
Nsg15
VFALSE
p99913
sbg8
(g9
g10
NtRp99914
(dp99915
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p99916
sbg8
(g9
g10
NtRp99917
(dp99918
g13
Nsg14
Nsg15
VFALSE
p99919
sbNNNNNNNg8
(g9
g10
NtRp99920
(dp99921
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp99922
(dp99923
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp99924
(dp99925
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-as_1997-2007
p99926
sbNNtp99927
a(g8
(g9
g10
NtRp99928
(dp99929
g13
Nsg14
Nsg15
V830a4b29-388f-4406-ae8c-8ffcc8212041
p99930
sbNg8
(g9
g10
NtRp99931
(dp99932
g13
Nsg14
Nsg15
VMercury (Hg) concentration in topsoils, Sep. 2007
p99933
sbNNNNNg8
(g9
g10
NtRp99934
(dp99935
g13
Nsg14
Nsg15
VMaps of estimated total mercury concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p99936
sbg8
(g23
g10
NtRp99937
(dp99938
g15
Vhttps://esdac.jrc.ec.europa.eu
p99939
sbNg8
(g9
g10
NtRp99940
(dp99941
g13
Nsg14
Nsg15
VFALSE
p99942
sbNNNg8
(g9
g10
NtRp99943
(dp99944
g13
Nsg14
Nsg15
VFALSE
p99945
sbNNg8
(g9
g10
NtRp99946
(dp99947
g13
Nsg14
Nsg15
VFALSE
p99948
sbNNg8
(g9
g10
NtRp99949
(dp99950
g13
Nsg14
Nsg15
VFALSE
p99951
sbNg8
(g9
g10
NtRp99952
(dp99953
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/830a4b29-388f-4406-ae8c-8ffcc8212041.png
p99954
sbg8
(g9
g10
NtRp99955
(dp99956
g13
Nsg14
Nsg15
VEPSG:3035
p99957
sbg8
(g9
g10
NtRp99958
(dp99959
g13
Nsg14
Nsg15
V2019-06-04
p99960
sbNNg8
(g9
g10
NtRp99961
(dp99962
g13
Nsg14
Nsg15
Vconcentration|heavy metal|mercury|soil
p99963
sbg8
(g9
g10
NtRp99964
(dp99965
g13
Nsg14
Nsg15
Vgrid
p99966
sbg8
(g9
g10
NtRp99967
(dp99968
g13
Nsg14
Nsg15
VAAIGrid
p99969
sbNg8
(g9
g10
NtRp99970
(dp99971
g13
Nsg14
Nsg15
V5000m
p99972
sbNg8
(g9
g10
NtRp99973
(dp99974
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p99975
sbg8
(g9
g10
NtRp99976
(dp99977
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/830a4b29-388f-4406-ae8c-8ffcc8212041
p99978
sbNNg8
(g9
g10
NtRp99979
(dp99980
g13
Nsg14
Nsg15
VFALSE
p99981
sbg8
(g9
g10
NtRp99982
(dp99983
g13
Nsg14
Nsg15
VSoil
p99984
sbg8
(g9
g10
NtRp99985
(dp99986
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p99987
sbg8
(g9
g10
NtRp99988
(dp99989
g13
Nsg14
Nsg15
VFALSE
p99990
sbg8
(g9
g10
NtRp99991
(dp99992
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p99993
sbg8
(g9
g10
NtRp99994
(dp99995
g13
Nsg14
Nsg15
VFALSE
p99996
sbNNNNNNNg8
(g9
g10
NtRp99997
(dp99998
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp99999
(dp100000
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100001
(dp100002
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-hg_1997-2007
p100003
sbNNtp100004
a(g8
(g9
g10
NtRp100005
(dp100006
g13
Nsg14
Nsg15
Va0187284-86da-4d48-9c68-57fbbd62cc32
p100007
sbNg8
(g9
g10
NtRp100008
(dp100009
g13
Nsg14
Nsg15
VGlobal Soil Organic Carbon Estimates in topsoil (30 arcsec), Mar. 2012
p100010
sbNNNNNg8
(g9
g10
NtRp100011
(dp100012
g13
Nsg14
Nsg15
VGlobal estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\u000a\u000a			This dataset contains the organic carbon density (t ha-1) for the topsoil (30 - 100cm) from the amended HWSD.\u000a\u000a			The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100013
sbg8
(g23
g10
NtRp100014
(dp100015
g15
Vhttps://esdac.jrc.ec.europa.eu
p100016
sbNg8
(g9
g10
NtRp100017
(dp100018
g13
Nsg14
Nsg15
VFALSE
p100019
sbNNNg8
(g9
g10
NtRp100020
(dp100021
g13
Nsg14
Nsg15
VFALSE
p100022
sbNNg8
(g9
g10
NtRp100023
(dp100024
g13
Nsg14
Nsg15
VFALSE
p100025
sbNNg8
(g9
g10
NtRp100026
(dp100027
g13
Nsg14
Nsg15
VFALSE
p100028
sbNg8
(g9
g10
NtRp100029
(dp100030
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0187284-86da-4d48-9c68-57fbbd62cc32.png
p100031
sbg8
(g9
g10
NtRp100032
(dp100033
g13
Nsg14
Nsg15
VEPSG:4326
p100034
sbg8
(g9
g10
NtRp100035
(dp100036
g13
Nsg14
Nsg15
V2019-06-04
p100037
sbNNg8
(g9
g10
NtRp100038
(dp100039
g13
Nsg14
Nsg15
Vorganic carbon|soil
p100040
sbg8
(g9
g10
NtRp100041
(dp100042
g13
Nsg14
Nsg15
Vgrid
p100043
sbg8
(g9
g10
NtRp100044
(dp100045
g13
Nsg14
Nsg15
VGTiff
p100046
sbNg8
(g9
g10
NtRp100047
(dp100048
g13
Nsg14
Nsg15
V0.00833333333deg
p100049
sbNg8
(g9
g10
NtRp100050
(dp100051
g13
Nsg14
Nsg15
VRefer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]\u000a				  \u000a				  The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip
p100052
sbg8
(g9
g10
NtRp100053
(dp100054
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0187284-86da-4d48-9c68-57fbbd62cc32
p100055
sbNNg8
(g9
g10
NtRp100056
(dp100057
g13
Nsg14
Nsg15
VFALSE
p100058
sbg8
(g9
g10
NtRp100059
(dp100060
g13
Nsg14
Nsg15
VSoil
p100061
sbg8
(g9
g10
NtRp100062
(dp100063
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\u000a    The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p100064
sbg8
(g9
g10
NtRp100065
(dp100066
g13
Nsg14
Nsg15
VFALSE
p100067
sbg8
(g9
g10
NtRp100068
(dp100069
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100070
sbg8
(g9
g10
NtRp100071
(dp100072
g13
Nsg14
Nsg15
VFALSE
p100073
sbNNNNNNNg8
(g9
g10
NtRp100074
(dp100075
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100076
(dp100077
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100078
(dp100079
g13
Nsg14
Nsg15
Vjrc_r_4326_30_arcsec_org-c-top_2009
p100080
sbNNtp100081
a(g8
(g9
g10
NtRp100082
(dp100083
g13
Nsg14
Nsg15
V7e091972-c587-4cd7-b01e-7fd0e7aecf93
p100084
sbNg8
(g9
g10
NtRp100085
(dp100086
g13
Nsg14
Nsg15
VNickel (Ni) concentration in topsoils, Sep. 2007
p100087
sbNNNNNg8
(g9
g10
NtRp100088
(dp100089
g13
Nsg14
Nsg15
VMaps of estimated total nickel concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100090
sbg8
(g23
g10
NtRp100091
(dp100092
g15
Vhttps://esdac.jrc.ec.europa.eu
p100093
sbNg8
(g9
g10
NtRp100094
(dp100095
g13
Nsg14
Nsg15
VFALSE
p100096
sbNNNg8
(g9
g10
NtRp100097
(dp100098
g13
Nsg14
Nsg15
VFALSE
p100099
sbNNg8
(g9
g10
NtRp100100
(dp100101
g13
Nsg14
Nsg15
VFALSE
p100102
sbNNg8
(g9
g10
NtRp100103
(dp100104
g13
Nsg14
Nsg15
VFALSE
p100105
sbNg8
(g9
g10
NtRp100106
(dp100107
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e091972-c587-4cd7-b01e-7fd0e7aecf93.png
p100108
sbg8
(g9
g10
NtRp100109
(dp100110
g13
Nsg14
Nsg15
VEPSG:3035
p100111
sbg8
(g9
g10
NtRp100112
(dp100113
g13
Nsg14
Nsg15
V2019-06-04
p100114
sbNNg8
(g9
g10
NtRp100115
(dp100116
g13
Nsg14
Nsg15
Vconcentration|heavy metal|nickel|soil
p100117
sbg8
(g9
g10
NtRp100118
(dp100119
g13
Nsg14
Nsg15
Vgrid
p100120
sbg8
(g9
g10
NtRp100121
(dp100122
g13
Nsg14
Nsg15
VAAIGrid
p100123
sbNg8
(g9
g10
NtRp100124
(dp100125
g13
Nsg14
Nsg15
V5000m
p100126
sbNg8
(g9
g10
NtRp100127
(dp100128
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p100129
sbg8
(g9
g10
NtRp100130
(dp100131
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e091972-c587-4cd7-b01e-7fd0e7aecf93
p100132
sbNNg8
(g9
g10
NtRp100133
(dp100134
g13
Nsg14
Nsg15
VFALSE
p100135
sbg8
(g9
g10
NtRp100136
(dp100137
g13
Nsg14
Nsg15
VSoil
p100138
sbg8
(g9
g10
NtRp100139
(dp100140
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p100141
sbg8
(g9
g10
NtRp100142
(dp100143
g13
Nsg14
Nsg15
VFALSE
p100144
sbg8
(g9
g10
NtRp100145
(dp100146
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100147
sbg8
(g9
g10
NtRp100148
(dp100149
g13
Nsg14
Nsg15
VFALSE
p100150
sbNNNNNNNg8
(g9
g10
NtRp100151
(dp100152
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100153
(dp100154
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100155
(dp100156
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-ni_1997-2007
p100157
sbNNtp100158
a(g8
(g9
g10
NtRp100159
(dp100160
g13
Nsg14
Nsg15
V2738bb1f-6b50-47e9-aba9-50157cb7228f
p100161
sbNg8
(g9
g10
NtRp100162
(dp100163
g13
Nsg14
Nsg15
VEU-Hydro Integrated Database (vector), Apr. 2016
p100164
sbNNNNNg8
(g9
g10
NtRp100165
(dp100166
g13
Nsg14
Nsg15
VEU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes.\u000a\u000aThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
p100167
sbg8
(g23
g10
NtRp100168
(dp100169
g15
Vhttps://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/integrated-eu-hydro-database-hydrographic-and-drainage-database/view
p100170
sbNg8
(g9
g10
NtRp100171
(dp100172
g13
Nsg14
Nsg15
VFALSE
p100173
sbNNNg8
(g9
g10
NtRp100174
(dp100175
g13
Nsg14
Nsg15
VFALSE
p100176
sbNNg8
(g9
g10
NtRp100177
(dp100178
g13
Nsg14
Nsg15
VFALSE
p100179
sbNNg8
(g9
g10
NtRp100180
(dp100181
g13
Nsg14
Nsg15
VFALSE
p100182
sbNg8
(g9
g10
NtRp100183
(dp100184
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png
p100185
sbg8
(g9
g10
NtRp100186
(dp100187
g13
Nsg14
Nsg15
VEPSG:3035
p100188
sbg8
(g9
g10
NtRp100189
(dp100190
g13
Nsg14
Nsg15
V2019-06-04
p100191
sbNNg8
(g9
g10
NtRp100192
(dp100193
g13
Nsg14
Nsg15
Vcatchment|drainage system|hydrographic network|landscape alteration|water body
p100194
sbg8
(g9
g10
NtRp100195
(dp100196
g13
Nsg14
Nsg15
Vvector
p100197
sbg8
(g9
g10
NtRp100198
(dp100199
g13
Nsg14
Nsg15
VFGeo
p100200
sbNg8
(g9
g10
NtRp100201
(dp100202
g13
Nsg14
Nsg15
V1:50000
p100203
sbNg8
(g9
g10
NtRp100204
(dp100205
g13
Nsg14
Nsg15
VSpace imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.
p100206
sbg8
(g9
g10
NtRp100207
(dp100208
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2738bb1f-6b50-47e9-aba9-50157cb7228f
p100209
sbNNg8
(g9
g10
NtRp100210
(dp100211
g13
Nsg14
Nsg15
VFALSE
p100212
sbg8
(g9
g10
NtRp100213
(dp100214
g13
Nsg14
Nsg15
VHydrography|Land cover|EEA39
p100215
sbg8
(g9
g10
NtRp100216
(dp100217
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p100218
sbg8
(g9
g10
NtRp100219
(dp100220
g13
Nsg14
Nsg15
VFALSE
p100221
sbg8
(g9
g10
NtRp100222
(dp100223
g13
Nsg14
Nsg15
VEuropean Environment Agency
p100224
sbg8
(g9
g10
NtRp100225
(dp100226
g13
Nsg14
Nsg15
VFALSE
p100227
sbNNNNNNNg8
(g9
g10
NtRp100228
(dp100229
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100230
(dp100231
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100232
(dp100233
g13
Nsg14
Nsg15
Vcopernicus_v_3035_50_k_hydrocl_2006-2012
p100234
sbNNtp100235
a(g8
(g9
g10
NtRp100236
(dp100237
g13
Nsg14
Nsg15
Vdafcec7e-b3bb-4583-a6c7-e0b8ade20553
p100238
sbNg8
(g9
g10
NtRp100239
(dp100240
g13
Nsg14
Nsg15
VSoil erodibility (K-Factor), May 2011
p100241
sbNNNNNg8
(g9
g10
NtRp100242
(dp100243
g13
Nsg14
Nsg15
VOne key parameter for soil erosion modelling is the soil erodibility, expressed as the K- factor in the commonly used soil erosion model USLE (Universal Soil Loss Equation). The K-factor is related to crucial soil factors triggering erosion (organic matter content, soil texture, soil structure, permeability). We calculated soil erodibility using measured soil data, collected during the 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign across the member states of the European Union. The estimation method of soil erodibility is based on the LUCAS point data. Since the density of points has a variety, we have performed a first assessment of Uncertainty based on the number of points in the 10km Grid Cell (dataset called uncertainty.tif available in the same folder as k-factor).\u000a			\u000a			Soil erodibility is expressed in [(t ha h)/(ha MJ mm)].\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100244
sbg8
(g23
g10
NtRp100245
(dp100246
g15
Vhttps://esdac.jrc.ec.europa.eu
p100247
sbNg8
(g9
g10
NtRp100248
(dp100249
g13
Nsg14
Nsg15
VFALSE
p100250
sbNNNg8
(g9
g10
NtRp100251
(dp100252
g13
Nsg14
Nsg15
VFALSE
p100253
sbNNg8
(g9
g10
NtRp100254
(dp100255
g13
Nsg14
Nsg15
VFALSE
p100256
sbNNg8
(g9
g10
NtRp100257
(dp100258
g13
Nsg14
Nsg15
VFALSE
p100259
sbNg8
(g9
g10
NtRp100260
(dp100261
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/dafcec7e-b3bb-4583-a6c7-e0b8ade20553.png
p100262
sbg8
(g9
g10
NtRp100263
(dp100264
g13
Nsg14
Nsg15
VEPSG:3035
p100265
sbg8
(g9
g10
NtRp100266
(dp100267
g13
Nsg14
Nsg15
V2019-06-04
p100268
sbNNg8
(g9
g10
NtRp100269
(dp100270
g13
Nsg14
Nsg15
Vsoil
p100271
sbg8
(g9
g10
NtRp100272
(dp100273
g13
Nsg14
Nsg15
Vgrid
p100274
sbg8
(g9
g10
NtRp100275
(dp100276
g13
Nsg14
Nsg15
VGTiff
p100277
sbNg8
(g9
g10
NtRp100278
(dp100279
g13
Nsg14
Nsg15
V10000m
p100280
sbNg8
(g9
g10
NtRp100281
(dp100282
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/library/themes/erosion/Erodibility/ and to Panagos, P., Meusburger, K., Alewell, C., Montanarella, L., Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002  [http://www.sciencedirect.com/science/article/pii/S1364815211002465].
p100283
sbg8
(g9
g10
NtRp100284
(dp100285
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafcec7e-b3bb-4583-a6c7-e0b8ade20553
p100286
sbg8
(g9
g10
NtRp100287
(dp100288
g13
Nsg14
g74
sg15
V2009
p100289
sbg8
(g9
g10
NtRp100290
(dp100291
g13
Nsg14
g74
sg15
V2009
p100292
sbg8
(g9
g10
NtRp100293
(dp100294
g13
Nsg14
Nsg15
VFALSE
p100295
sbg8
(g9
g10
NtRp100296
(dp100297
g13
Nsg14
Nsg15
VSoil
p100298
sbg8
(g9
g10
NtRp100299
(dp100300
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Management and Natural Hazards Unit of the Institute for Environment & Sustainability, JRC Ispra. The data produced in 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign and are made available for research and development purposes.\u000a    The data were developed for research purposes in the SOIL Action of the Joint Research Centre. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above .\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos, P., Meusburger, K., Alewell, C., Montanarella, L. Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p100301
sbg8
(g9
g10
NtRp100302
(dp100303
g13
Nsg14
Nsg15
VFALSE
p100304
sbg8
(g9
g10
NtRp100305
(dp100306
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100307
sbg8
(g9
g10
NtRp100308
(dp100309
g13
Nsg14
Nsg15
VFALSE
p100310
sbNNNNNNNg8
(g9
g10
NtRp100311
(dp100312
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100313
(dp100314
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100315
(dp100316
g13
Nsg14
Nsg15
Vjrc_r_3035_10_km_esdb-k-factor_2009
p100317
sbNNtp100318
a(g8
(g9
g10
NtRp100319
(dp100320
g13
Nsg14
Nsg15
V68564428-c531-4e58-b170-c8286469f835
p100321
sbNg8
(g9
g10
NtRp100322
(dp100323
g13
Nsg14
Nsg15
VSaline and Sodic Soils in the European Union, Jan. 2008
p100324
sbNNNNNg8
(g9
g10
NtRp100325
(dp100326
g13
Nsg14
Nsg15
VThe Saline and Sodic Soils Map shows the area distribution of saline, sodic and potentially salt affected areas within the European Union. The accuracy of input input data only allows the designation of salt affected areas with a limited level of reliability (e.g. < 50 or > 50% of the area); therefore the results represented in the map should only be used for orientating purposes.\u000a			\u000a			Two major data sources are available to delineate areas at risk of salt accumulation in Europe: The European Soil Database (ESDB, 2004) and the map of salt affected soils in Europe compiled by Szabolcs (1974). Szabolcs\u2019 map was of pressing importance in the 1970s because the salinity and alkalinity of soils hindered the satisfactory agricultural utilisation of lands in many regions.\u000a\u000aTo delineate an updated map of salt affected soils in Europe, items from the two databases were selected that have characteristics of salt affected or potentially salt effected soils. Potentially salt affected refers to soils that are at present not or to a very low degree saline or alkaline, but where human intervention (irrigation) may cause their considerable salinisation and/or alkanisation/sodification (Szabolcs, 1974).\u000a\u000aThe information on salinity and alkalinity, available directly or through pedotransfer rules in the ESDB, is described in detail by Baruth et al. (2006). In the WRB (World Reference Base) soil names that give information about salinity are Solonchaks, "salic" soils, or "petrosalic" soils. \u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
p100327
sbg8
(g23
g10
NtRp100328
(dp100329
g15
Vhttps://esdac.jrc.ec.europa.eu
p100330
sbNg8
(g9
g10
NtRp100331
(dp100332
g13
Nsg14
Nsg15
VFALSE
p100333
sbNNNg8
(g9
g10
NtRp100334
(dp100335
g13
Nsg14
Nsg15
VFALSE
p100336
sbNNg8
(g9
g10
NtRp100337
(dp100338
g13
Nsg14
Nsg15
VFALSE
p100339
sbNNg8
(g9
g10
NtRp100340
(dp100341
g13
Nsg14
Nsg15
VFALSE
p100342
sbNg8
(g9
g10
NtRp100343
(dp100344
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/68564428-c531-4e58-b170-c8286469f835.png
p100345
sbg8
(g9
g10
NtRp100346
(dp100347
g13
Nsg14
Nsg15
VEPSG:3035
p100348
sbg8
(g9
g10
NtRp100349
(dp100350
g13
Nsg14
Nsg15
V2019-06-04
p100351
sbNNg8
(g9
g10
NtRp100352
(dp100353
g13
Nsg14
Nsg15
Valkali soil|soil|soil salination|soil salinity
p100354
sbg8
(g9
g10
NtRp100355
(dp100356
g13
Nsg14
Nsg15
Vvector
p100357
sbg8
(g9
g10
NtRp100358
(dp100359
g13
Nsg14
Nsg15
VSHP
p100360
sbNg8
(g9
g10
NtRp100361
(dp100362
g13
Nsg14
Nsg15
V1:1000000
p100363
sbNg8
(g9
g10
NtRp100364
(dp100365
g13
Nsg14
Nsg15
VRefer to the document documentation/salinisation_methodology.pdf.
p100366
sbg8
(g9
g10
NtRp100367
(dp100368
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68564428-c531-4e58-b170-c8286469f835
p100369
sbg8
(g9
g10
NtRp100370
(dp100371
g13
Nsg14
g74
sg15
V1974
p100372
sbg8
(g9
g10
NtRp100373
(dp100374
g13
Nsg14
g74
sg15
V2004
p100375
sbg8
(g9
g10
NtRp100376
(dp100377
g13
Nsg14
Nsg15
VTRUE
p100378
sbg8
(g9
g10
NtRp100379
(dp100380
g13
Nsg14
Nsg15
VSoil
p100381
sbg8
(g9
g10
NtRp100382
(dp100383
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data of the "Map of Saline and Sodic Soils in the EU" are made available for research purposes only and not for any other activity.\u000a    The data of the "Map of Saline and Sodic Soils in the EU" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    "Map of Saline and Sodic Soils in the EU", Gergely Toth, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008
p100384
sbg8
(g9
g10
NtRp100385
(dp100386
g13
Nsg14
Nsg15
VFALSE
p100387
sbg8
(g9
g10
NtRp100388
(dp100389
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100390
sbg8
(g9
g10
NtRp100391
(dp100392
g13
Nsg14
Nsg15
VFALSE
p100393
sbNNNNNNNg8
(g9
g10
NtRp100394
(dp100395
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100396
(dp100397
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100398
(dp100399
g13
Nsg14
Nsg15
Vjrc_v_3035_1_mio_esdb-salinisation_1974-2004
p100400
sbNNtp100401
a(g8
(g9
g10
NtRp100402
(dp100403
g13
Nsg14
Nsg15
V20d94142-253b-467d-82dc-0bf13fba7e7e
p100404
sbNg8
(g9
g10
NtRp100405
(dp100406
g13
Nsg14
Nsg15
VZinc (Zn) concentration in topsoils, Sep. 2007
p100407
sbNNNNNg8
(g9
g10
NtRp100408
(dp100409
g13
Nsg14
Nsg15
VMaps of estimated total zinc concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100410
sbg8
(g23
g10
NtRp100411
(dp100412
g15
Vhttps://esdac.jrc.ec.europa.eu
p100413
sbNg8
(g9
g10
NtRp100414
(dp100415
g13
Nsg14
Nsg15
VFALSE
p100416
sbNNNg8
(g9
g10
NtRp100417
(dp100418
g13
Nsg14
Nsg15
VFALSE
p100419
sbNNg8
(g9
g10
NtRp100420
(dp100421
g13
Nsg14
Nsg15
VFALSE
p100422
sbNNg8
(g9
g10
NtRp100423
(dp100424
g13
Nsg14
Nsg15
VFALSE
p100425
sbNg8
(g9
g10
NtRp100426
(dp100427
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/20d94142-253b-467d-82dc-0bf13fba7e7e.png
p100428
sbg8
(g9
g10
NtRp100429
(dp100430
g13
Nsg14
Nsg15
VEPSG:3035
p100431
sbg8
(g9
g10
NtRp100432
(dp100433
g13
Nsg14
Nsg15
V2019-06-04
p100434
sbNNg8
(g9
g10
NtRp100435
(dp100436
g13
Nsg14
Nsg15
Vconcentration|heavy metal|soil|zinc
p100437
sbg8
(g9
g10
NtRp100438
(dp100439
g13
Nsg14
Nsg15
Vgrid
p100440
sbg8
(g9
g10
NtRp100441
(dp100442
g13
Nsg14
Nsg15
VAAIGrid
p100443
sbNg8
(g9
g10
NtRp100444
(dp100445
g13
Nsg14
Nsg15
V5000m
p100446
sbNg8
(g9
g10
NtRp100447
(dp100448
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p100449
sbg8
(g9
g10
NtRp100450
(dp100451
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20d94142-253b-467d-82dc-0bf13fba7e7e
p100452
sbg8
(g9
g10
NtRp100453
(dp100454
g13
Nsg14
g74
sg15
V1997
p100455
sbg8
(g9
g10
NtRp100456
(dp100457
g13
Nsg14
g74
sg15
V2007
p100458
sbg8
(g9
g10
NtRp100459
(dp100460
g13
Nsg14
Nsg15
VTRUE
p100461
sbg8
(g9
g10
NtRp100462
(dp100463
g13
Nsg14
Nsg15
VSoil
p100464
sbg8
(g9
g10
NtRp100465
(dp100466
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p100467
sbg8
(g9
g10
NtRp100468
(dp100469
g13
Nsg14
Nsg15
VFALSE
p100470
sbg8
(g9
g10
NtRp100471
(dp100472
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100473
sbg8
(g9
g10
NtRp100474
(dp100475
g13
Nsg14
Nsg15
VFALSE
p100476
sbNNNNNNNg8
(g9
g10
NtRp100477
(dp100478
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100479
(dp100480
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100481
(dp100482
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-zn_1997-2007
p100483
sbNNtp100484
a(g8
(g9
g10
NtRp100485
(dp100486
g13
Nsg14
Nsg15
Vfc54012e-439f-4009-94fc-328a1cf16812
p100487
sbNg8
(g9
g10
NtRp100488
(dp100489
g13
Nsg14
Nsg15
VSoil pH in Europe, Dec. 2009
p100490
sbNNNNNg8
(g9
g10
NtRp100491
(dp100492
g13
Nsg14
Nsg15
VThe JRC created a quantitative map of estimated soil pH values across Europe from a compilation of 12,333 soil pH measurements from 11 different sources, and using a geo-statistical framework based on Regression-Kriging. Fifty-four (54) auxiliary variables in the form of raster maps at 1km resolution were used to explain the differences in the distribution of soil pHCaCl2 and the kriged map of the residuals from the regression model was added. The goodness of fit of the regression model was satisfactory (R2adj = 0.43) and its residuals follow a Gaussian distribution. The lowest values correspond to the soils developed on acid rock (granites, quartzite\u2019s, sandstones, etc), while the higher values are related to the presence of calcareous sediments and basic rocks. The validation of the model shows that the model is quite accurate (R2adj = 0.56). This shows the validity of Regression-Kriging in the estimation of the distribution of soil properties when a large and adequately documented number of soil measurements are available.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100493
sbg8
(g23
g10
NtRp100494
(dp100495
g15
Vhttps://esdac.jrc.ec.europa.eu
p100496
sbNg8
(g9
g10
NtRp100497
(dp100498
g13
Nsg14
Nsg15
VFALSE
p100499
sbNNNg8
(g9
g10
NtRp100500
(dp100501
g13
Nsg14
Nsg15
VFALSE
p100502
sbNNg8
(g9
g10
NtRp100503
(dp100504
g13
Nsg14
Nsg15
VFALSE
p100505
sbNNg8
(g9
g10
NtRp100506
(dp100507
g13
Nsg14
Nsg15
VFALSE
p100508
sbNg8
(g9
g10
NtRp100509
(dp100510
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fc54012e-439f-4009-94fc-328a1cf16812.png
p100511
sbg8
(g9
g10
NtRp100512
(dp100513
g13
Nsg14
Nsg15
VEPSG:3035
p100514
sbg8
(g9
g10
NtRp100515
(dp100516
g13
Nsg14
Nsg15
V2019-06-04
p100517
sbNNg8
(g9
g10
NtRp100518
(dp100519
g13
Nsg14
Nsg15
VpH-value|soil|soil acidification
p100520
sbg8
(g9
g10
NtRp100521
(dp100522
g13
Nsg14
Nsg15
Vgrid
p100523
sbg8
(g9
g10
NtRp100524
(dp100525
g13
Nsg14
Nsg15
VAAIGrid
p100526
sbNg8
(g9
g10
NtRp100527
(dp100528
g13
Nsg14
Nsg15
V1000m
p100529
sbNg8
(g9
g10
NtRp100530
(dp100531
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/library/data/ph/ and to Böhner, J., Blaschke, T., Montanarella, L. [Eds.] (2008): SAGA \u2013 Seconds Out. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Vol.19, 113pp. [http://ignum.dl.sourceforge.net/project/saga-gis/SAGA%20-%20Documentation/HBPL19/hbpl19_10.pdf].
p100532
sbg8
(g9
g10
NtRp100533
(dp100534
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc54012e-439f-4009-94fc-328a1cf16812
p100535
sbg8
(g9
g10
NtRp100536
(dp100537
g13
Nsg14
g74
sg15
V2009
p100538
sbg8
(g9
g10
NtRp100539
(dp100540
g13
Nsg14
g74
sg15
V2009
p100541
sbg8
(g9
g10
NtRp100542
(dp100543
g13
Nsg14
Nsg15
VFALSE
p100544
sbg8
(g9
g10
NtRp100545
(dp100546
g13
Nsg14
Nsg15
VSoil
p100547
sbg8
(g9
g10
NtRp100548
(dp100549
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    1. The data of the "Map of Soil pH in Europe" are made available for research purposes only and not for any other activity.\u000a    2. The data of the "Map of Soil pH in Europe" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of data available at the European Soil Data Centre (ESDAC). The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    "Map of Soil pH in Europe", Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission \u2013 Joint Research Centre, 2010
p100550
sbg8
(g9
g10
NtRp100551
(dp100552
g13
Nsg14
Nsg15
VFALSE
p100553
sbg8
(g9
g10
NtRp100554
(dp100555
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100556
sbg8
(g9
g10
NtRp100557
(dp100558
g13
Nsg14
Nsg15
VFALSE
p100559
sbNNNNNNNg8
(g9
g10
NtRp100560
(dp100561
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100562
(dp100563
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100564
(dp100565
g13
Nsg14
Nsg15
Vjrc_r_3035_1_km_esdb-ph_2009
p100566
sbNNtp100567
a(g8
(g9
g10
NtRp100568
(dp100569
g13
Nsg14
Nsg15
V87f24895-1ad9-478a-ad1c-c6c8468741b4
p100570
sbNg8
(g9
g10
NtRp100571
(dp100572
g13
Nsg14
Nsg15
VLead (Pb) concentration in topsoils, Sep. 2007
p100573
sbNNNNNg8
(g9
g10
NtRp100574
(dp100575
g13
Nsg14
Nsg15
VMaps of estimated total lead concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100576
sbg8
(g23
g10
NtRp100577
(dp100578
g15
Vhttps://esdac.jrc.ec.europa.eu
p100579
sbNg8
(g9
g10
NtRp100580
(dp100581
g13
Nsg14
Nsg15
VFALSE
p100582
sbNNNg8
(g9
g10
NtRp100583
(dp100584
g13
Nsg14
Nsg15
VFALSE
p100585
sbNNg8
(g9
g10
NtRp100586
(dp100587
g13
Nsg14
Nsg15
VFALSE
p100588
sbNNg8
(g9
g10
NtRp100589
(dp100590
g13
Nsg14
Nsg15
VFALSE
p100591
sbNg8
(g9
g10
NtRp100592
(dp100593
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/87f24895-1ad9-478a-ad1c-c6c8468741b4.png
p100594
sbg8
(g9
g10
NtRp100595
(dp100596
g13
Nsg14
Nsg15
VEPSG:3035
p100597
sbg8
(g9
g10
NtRp100598
(dp100599
g13
Nsg14
Nsg15
V2019-06-04
p100600
sbNNg8
(g9
g10
NtRp100601
(dp100602
g13
Nsg14
Nsg15
Vconcentration|heavy metal|lead|soil
p100603
sbg8
(g9
g10
NtRp100604
(dp100605
g13
Nsg14
Nsg15
Vgrid
p100606
sbg8
(g9
g10
NtRp100607
(dp100608
g13
Nsg14
Nsg15
VAAIGrid
p100609
sbNg8
(g9
g10
NtRp100610
(dp100611
g13
Nsg14
Nsg15
V5000m
p100612
sbNg8
(g9
g10
NtRp100613
(dp100614
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p100615
sbg8
(g9
g10
NtRp100616
(dp100617
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87f24895-1ad9-478a-ad1c-c6c8468741b4
p100618
sbg8
(g9
g10
NtRp100619
(dp100620
g13
Nsg14
g74
sg15
V1997
p100621
sbg8
(g9
g10
NtRp100622
(dp100623
g13
Nsg14
g74
sg15
V2007
p100624
sbg8
(g9
g10
NtRp100625
(dp100626
g13
Nsg14
Nsg15
VTRUE
p100627
sbg8
(g9
g10
NtRp100628
(dp100629
g13
Nsg14
Nsg15
VSoil
p100630
sbg8
(g9
g10
NtRp100631
(dp100632
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p100633
sbg8
(g9
g10
NtRp100634
(dp100635
g13
Nsg14
Nsg15
VFALSE
p100636
sbg8
(g9
g10
NtRp100637
(dp100638
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100639
sbg8
(g9
g10
NtRp100640
(dp100641
g13
Nsg14
Nsg15
VFALSE
p100642
sbNNNNNNNg8
(g9
g10
NtRp100643
(dp100644
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100645
(dp100646
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100647
(dp100648
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-pb_1997-2007
p100649
sbNNtp100650
a(g8
(g9
g10
NtRp100651
(dp100652
g13
Nsg14
Nsg15
V977c9f73-f532-405a-bb4f-a44d6d28a820
p100653
sbNg8
(g9
g10
NtRp100654
(dp100655
g13
Nsg14
Nsg15
VNatural susceptibility to compaction for EU27, Mar. 2008
p100656
sbNNNNNg8
(g9
g10
NtRp100657
(dp100658
g13
Nsg14
Nsg15
VThis map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil\u2019s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted.\u000a\u000aThe map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute "Evaluation" in the shapefile):\u000a\u000a    0 - no soil. This represents water bodies, glaciers and rock outcrops\u000a    1 - low susceptibility to compaction\u000a    2. - medium susceptibility to compaction\u000a    3. - high susceptibility to compaction\u000a    4. - very high susceptibility to compaction\u000a    9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh.\u000a\u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
p100659
sbg8
(g23
g10
NtRp100660
(dp100661
g15
Vhttps://esdac.jrc.ec.europa.eu
p100662
sbNg8
(g9
g10
NtRp100663
(dp100664
g13
Nsg14
Nsg15
VFALSE
p100665
sbNNNg8
(g9
g10
NtRp100666
(dp100667
g13
Nsg14
Nsg15
VFALSE
p100668
sbNNg8
(g9
g10
NtRp100669
(dp100670
g13
Nsg14
Nsg15
VFALSE
p100671
sbNNg8
(g9
g10
NtRp100672
(dp100673
g13
Nsg14
Nsg15
VFALSE
p100674
sbNg8
(g9
g10
NtRp100675
(dp100676
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/977c9f73-f532-405a-bb4f-a44d6d28a820.png
p100677
sbg8
(g9
g10
NtRp100678
(dp100679
g13
Nsg14
Nsg15
VEPSG:3035
p100680
sbg8
(g9
g10
NtRp100681
(dp100682
g13
Nsg14
Nsg15
V2019-06-04
p100683
sbNNg8
(g9
g10
NtRp100684
(dp100685
g13
Nsg14
Nsg15
Vsoil|soil compaction
p100686
sbg8
(g9
g10
NtRp100687
(dp100688
g13
Nsg14
Nsg15
Vvector
p100689
sbg8
(g9
g10
NtRp100690
(dp100691
g13
Nsg14
Nsg15
VSHP
p100692
sbNg8
(g9
g10
NtRp100693
(dp100694
g13
Nsg14
Nsg15
V1:1000000
p100695
sbNg8
(g9
g10
NtRp100696
(dp100697
g13
Nsg14
Nsg15
VRefer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf
p100698
sbg8
(g9
g10
NtRp100699
(dp100700
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/977c9f73-f532-405a-bb4f-a44d6d28a820
p100701
sbg8
(g9
g10
NtRp100702
(dp100703
g13
Nsg14
g74
sg15
V2000
p100704
sbg8
(g9
g10
NtRp100705
(dp100706
g13
Nsg14
g74
sg15
V2004
p100707
sbg8
(g9
g10
NtRp100708
(dp100709
g13
Nsg14
Nsg15
VTRUE
p100710
sbg8
(g9
g10
NtRp100711
(dp100712
g13
Nsg14
Nsg15
VSoil
p100713
sbg8
(g9
g10
NtRp100714
(dp100715
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data of the "Map of Natural Susceptibility of Soils to Compaction" are made available for research purposes only and not for any other activity.\u000a    The data of the "Map of Natural Susceptibility of Soils to Compaction" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008\u000a\u000aReference of source :\u000a"Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008
p100716
sbg8
(g9
g10
NtRp100717
(dp100718
g13
Nsg14
Nsg15
VFALSE
p100719
sbg8
(g9
g10
NtRp100720
(dp100721
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100722
sbg8
(g9
g10
NtRp100723
(dp100724
g13
Nsg14
Nsg15
VFALSE
p100725
sbNNNNNNNg8
(g9
g10
NtRp100726
(dp100727
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100728
(dp100729
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100730
(dp100731
g13
Nsg14
Nsg15
Vjrc_v_3035_1_mio_esdb-comp-susc-eu27_1974-2004
p100732
sbNNtp100733
a(g8
(g9
g10
NtRp100734
(dp100735
g13
Nsg14
Nsg15
V54dd0ea0-ea04-4fc3-9c7b-c576eee287dd
p100736
sbNg8
(g9
g10
NtRp100737
(dp100738
g13
Nsg14
Nsg15
VGlobal Soil Organic Carbon Estimates in subsoil (5 arcmin), Mar. 2012
p100739
sbNNNNNg8
(g9
g10
NtRp100740
(dp100741
g13
Nsg14
Nsg15
VGlobal estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\u000a\u000a			This dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100742
sbg8
(g23
g10
NtRp100743
(dp100744
g15
Vhttps://esdac.jrc.ec.europa.eu
p100745
sbNg8
(g9
g10
NtRp100746
(dp100747
g13
Nsg14
Nsg15
VFALSE
p100748
sbNNNg8
(g9
g10
NtRp100749
(dp100750
g13
Nsg14
Nsg15
VFALSE
p100751
sbNNg8
(g9
g10
NtRp100752
(dp100753
g13
Nsg14
Nsg15
VFALSE
p100754
sbNNg8
(g9
g10
NtRp100755
(dp100756
g13
Nsg14
Nsg15
VFALSE
p100757
sbNg8
(g9
g10
NtRp100758
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd.png
p100760
sbg8
(g9
g10
NtRp100761
(dp100762
g13
Nsg14
Nsg15
VEPSG:4326
p100763
sbg8
(g9
g10
NtRp100764
(dp100765
g13
Nsg14
Nsg15
V2019-06-04
p100766
sbNNg8
(g9
g10
NtRp100767
(dp100768
g13
Nsg14
Nsg15
Vorganic carbon|soil
p100769
sbg8
(g9
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NtRp100770
(dp100771
g13
Nsg14
Nsg15
Vgrid
p100772
sbg8
(g9
g10
NtRp100773
(dp100774
g13
Nsg14
Nsg15
VRST
p100775
sbNg8
(g9
g10
NtRp100776
(dp100777
g13
Nsg14
Nsg15
V0.0833333333deg
p100778
sbNg8
(g9
g10
NtRp100779
(dp100780
g13
Nsg14
Nsg15
VRefer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]
p100781
sbg8
(g9
g10
NtRp100782
(dp100783
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd
p100784
sbg8
(g9
g10
NtRp100785
(dp100786
g13
Nsg14
g74
sg15
V2009
p100787
sbg8
(g9
g10
NtRp100788
(dp100789
g13
Nsg14
g74
sg15
V2009
p100790
sbg8
(g9
g10
NtRp100791
(dp100792
g13
Nsg14
Nsg15
VFALSE
p100793
sbg8
(g9
g10
NtRp100794
(dp100795
g13
Nsg14
Nsg15
VSoil
p100796
sbg8
(g9
g10
NtRp100797
(dp100798
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\u000a    The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p100799
sbg8
(g9
g10
NtRp100800
(dp100801
g13
Nsg14
Nsg15
VFALSE
p100802
sbg8
(g9
g10
NtRp100803
(dp100804
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100805
sbg8
(g9
g10
NtRp100806
(dp100807
g13
Nsg14
Nsg15
VFALSE
p100808
sbNNNNNNNg8
(g9
g10
NtRp100809
(dp100810
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100811
(dp100812
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100813
(dp100814
g13
Nsg14
Nsg15
Vjrc_r_4326_5_arcmin_org-c-sub_2009
p100815
sbNNtp100816
a(g8
(g9
g10
NtRp100817
(dp100818
g13
Nsg14
Nsg15
V6e63520a-598a-4051-ba52-a995d5080021
p100819
sbNg8
(g9
g10
NtRp100820
(dp100821
g13
Nsg14
Nsg15
VCadmium (Cd) concentration in topsoils, Sep. 2007
p100822
sbNNNNNg8
(g9
g10
NtRp100823
(dp100824
g13
Nsg14
Nsg15
VMaps of estimated total cadmium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100825
sbg8
(g23
g10
NtRp100826
(dp100827
g15
Vhttps://esdac.jrc.ec.europa.eu
p100828
sbNg8
(g9
g10
NtRp100829
(dp100830
g13
Nsg14
Nsg15
VFALSE
p100831
sbNNNg8
(g9
g10
NtRp100832
(dp100833
g13
Nsg14
Nsg15
VFALSE
p100834
sbNNg8
(g9
g10
NtRp100835
(dp100836
g13
Nsg14
Nsg15
VFALSE
p100837
sbNNg8
(g9
g10
NtRp100838
(dp100839
g13
Nsg14
Nsg15
VFALSE
p100840
sbNg8
(g9
g10
NtRp100841
(dp100842
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e63520a-598a-4051-ba52-a995d5080021.png
p100843
sbg8
(g9
g10
NtRp100844
(dp100845
g13
Nsg14
Nsg15
VEPSG:3035
p100846
sbg8
(g9
g10
NtRp100847
(dp100848
g13
Nsg14
Nsg15
V2019-06-04
p100849
sbNNg8
(g9
g10
NtRp100850
(dp100851
g13
Nsg14
Nsg15
Vcadmium|concentration|heavy metal|soil
p100852
sbg8
(g9
g10
NtRp100853
(dp100854
g13
Nsg14
Nsg15
Vgrid
p100855
sbg8
(g9
g10
NtRp100856
(dp100857
g13
Nsg14
Nsg15
VAAIGrid
p100858
sbNg8
(g9
g10
NtRp100859
(dp100860
g13
Nsg14
Nsg15
V5000m
p100861
sbNg8
(g9
g10
NtRp100862
(dp100863
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p100864
sbg8
(g9
g10
NtRp100865
(dp100866
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e63520a-598a-4051-ba52-a995d5080021
p100867
sbg8
(g9
g10
NtRp100868
(dp100869
g13
Nsg14
g74
sg15
V1997
p100870
sbg8
(g9
g10
NtRp100871
(dp100872
g13
Nsg14
g74
sg15
V2007
p100873
sbg8
(g9
g10
NtRp100874
(dp100875
g13
Nsg14
Nsg15
VTRUE
p100876
sbg8
(g9
g10
NtRp100877
(dp100878
g13
Nsg14
Nsg15
VSoil
p100879
sbg8
(g9
g10
NtRp100880
(dp100881
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p100882
sbg8
(g9
g10
NtRp100883
(dp100884
g13
Nsg14
Nsg15
VFALSE
p100885
sbg8
(g9
g10
NtRp100886
(dp100887
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100888
sbg8
(g9
g10
NtRp100889
(dp100890
g13
Nsg14
Nsg15
VFALSE
p100891
sbNNNNNNNg8
(g9
g10
NtRp100892
(dp100893
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100894
(dp100895
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100896
(dp100897
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-cd_1997-2007
p100898
sbNNtp100899
a(g8
(g9
g10
NtRp100900
(dp100901
g13
Nsg14
Nsg15
V8f77324b-3ad9-4f2d-98a3-149c1f799f11
p100902
sbNg8
(g9
g10
NtRp100903
(dp100904
g13
Nsg14
Nsg15
VOrganic carbon in topsoils (OCTOP) in Europe, Jan. 2003
p100905
sbNNNNNg8
(g9
g10
NtRp100906
(dp100907
g13
Nsg14
Nsg15
VSoil organic carbon, the major component of soil organic matter, is extremely important in all soil processes. Organic material in the soil is essentially derived from residual plant and animal material, synthesized by microbes and decomposed under the influence of temperature, moisture and ambient soil conditions. The JRC has developed and makes available a map of Soil Organic Carbon content (%) in the surface horizon of soils in Europe.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p100908
sbg8
(g23
g10
NtRp100909
(dp100910
g15
Vhttps://esdac.jrc.ec.europa.eu
p100911
sbNg8
(g9
g10
NtRp100912
(dp100913
g13
Nsg14
Nsg15
VFALSE
p100914
sbNNNg8
(g9
g10
NtRp100915
(dp100916
g13
Nsg14
Nsg15
VFALSE
p100917
sbNNg8
(g9
g10
NtRp100918
(dp100919
g13
Nsg14
Nsg15
VFALSE
p100920
sbNNg8
(g9
g10
NtRp100921
(dp100922
g13
Nsg14
Nsg15
VFALSE
p100923
sbNg8
(g9
g10
NtRp100924
(dp100925
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f77324b-3ad9-4f2d-98a3-149c1f799f11.png
p100926
sbg8
(g9
g10
NtRp100927
(dp100928
g13
Nsg14
Nsg15
VEPSG:3035
p100929
sbg8
(g9
g10
NtRp100930
(dp100931
g13
Nsg14
Nsg15
V2019-06-04
p100932
sbNNg8
(g9
g10
NtRp100933
(dp100934
g13
Nsg14
Nsg15
Vorganic carbon|soil
p100935
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(g9
g10
NtRp100936
(dp100937
g13
Nsg14
Nsg15
Vgrid
p100938
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(g9
g10
NtRp100939
(dp100940
g13
Nsg14
Nsg15
VAIG
p100941
sbNg8
(g9
g10
NtRp100942
(dp100943
g13
Nsg14
Nsg15
V1000m
p100944
sbNg8
(g9
g10
NtRp100945
(dp100946
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/octop/octop_data.html and to \u000a* Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671.\u000a*  Robert J.A. Jones, Roland Hiederer,Ezio Rusco, Peter J. Loveland and Luca Montanarella European Soil Bureau Research Report No.15, EUR 21209, 40pp. Office for Official Publications of the European Communities, Luxembourg. [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/OCtopMapBkLet76.pdf].
p100947
sbg8
(g9
g10
NtRp100948
(dp100949
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f77324b-3ad9-4f2d-98a3-149c1f799f11
p100950
sbg8
(g9
g10
NtRp100951
(dp100952
g13
Nsg14
g74
sg15
V2003
p100953
sbg8
(g9
g10
NtRp100954
(dp100955
g13
Nsg14
g74
sg15
V2003
p100956
sbg8
(g9
g10
NtRp100957
(dp100958
g13
Nsg14
Nsg15
VFALSE
p100959
sbg8
(g9
g10
NtRp100960
(dp100961
g13
Nsg14
Nsg15
VSoil
p100962
sbg8
(g9
g10
NtRp100963
(dp100964
g13
Nsg14
Nsg15
VNotification Regarding Use of Data\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Management Unit and the Soil and Waste Unit, of the Institute for Environment & Sustainability, JRC Ispra.\u000a    The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above.\u000a    The user also agrees to:\u000a        Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a        Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). \u000a\u000aReference of source (Citations)\u000aReferences which should be cited whenever you use the OCTOP data:\u000a\u000a    Jones, R.J.A., Hiederer, R., Rusco, E., Loveland, P.J. and Montanarella, L. (2004). The map of organic carbon in topsoils in Europe, Version 1.2, September 2003: Explanation of Special Publication Ispra 2004 No.72 (S.P.I.04.72). European Soil Bureau Research Report No.17, EUR 21209 EN, 26pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\u000a    Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671.\u000a    Panagos, P., Van Liedekerke, M., Montanarella, L., Jones, R.J.A, Soil organic carbon content indicators and web mapping applications, Environmental Modelling & Software, Volume 23, Issue 9, September 2008, Pages 1207-1209.\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p100965
sbg8
(g9
g10
NtRp100966
(dp100967
g13
Nsg14
Nsg15
VFALSE
p100968
sbg8
(g9
g10
NtRp100969
(dp100970
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p100971
sbg8
(g9
g10
NtRp100972
(dp100973
g13
Nsg14
Nsg15
VFALSE
p100974
sbNNNNNNNg8
(g9
g10
NtRp100975
(dp100976
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp100977
(dp100978
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp100979
(dp100980
g13
Nsg14
Nsg15
Vjrc_r_3035_1_km_esdb-octop_2003
p100981
sbNNtp100982
a(g8
(g9
g10
NtRp100983
(dp100984
g13
Nsg14
Nsg15
Vaa596832-772e-48e0-85cf-4cc80be75962
p100985
sbNg8
(g9
g10
NtRp100986
(dp100987
g13
Nsg14
Nsg15
VHeavy metals in topsoils, Sep. 2007
p100988
sbNNNNNg8
(g9
g10
NtRp100989
(dp100990
g13
Nsg14
Nsg15
VMaps of estimated total heavy metal concentrations of eight critical heavy metals (arsenic, cadmium, chromium, copper, mercury, nickel, lead and zinc) in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000aHeavy metal contents are expressed in mg kg-1.\u000a			\u000aThis metadata record is adapted from the orginal one received from JRC.
p100991
sbg8
(g23
g10
NtRp100992
(dp100993
g15
Vhttps://esdac.jrc.ec.europa.eu
p100994
sbNg8
(g9
g10
NtRp100995
(dp100996
g13
Nsg14
Nsg15
VFALSE
p100997
sbNNNg8
(g9
g10
NtRp100998
(dp100999
g13
Nsg14
Nsg15
VFALSE
p101000
sbNNg8
(g9
g10
NtRp101001
(dp101002
g13
Nsg14
Nsg15
VFALSE
p101003
sbNNg8
(g9
g10
NtRp101004
(dp101005
g13
Nsg14
Nsg15
VFALSE
p101006
sbNg8
(g9
g10
NtRp101007
(dp101008
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa596832-772e-48e0-85cf-4cc80be75962.png
p101009
sbg8
(g9
g10
NtRp101010
(dp101011
g13
Nsg14
Nsg15
VEPSG:3035
p101012
sbg8
(g9
g10
NtRp101013
(dp101014
g13
Nsg14
Nsg15
V2019-06-04
p101015
sbNNg8
(g9
g10
NtRp101016
(dp101017
g13
Nsg14
Nsg15
Vconcentration|heavy metal|soil
p101018
sbg8
(g9
g10
NtRp101019
(dp101020
g13
Nsg14
Nsg15
Vgrid
p101021
sbg8
(g9
g10
NtRp101022
(dp101023
g13
Nsg14
Nsg15
VAAIGrid
p101024
sbNg8
(g9
g10
NtRp101025
(dp101026
g13
Nsg14
Nsg15
V5000m
p101027
sbNg8
(g9
g10
NtRp101028
(dp101029
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668]
p101030
sbg8
(g9
g10
NtRp101031
(dp101032
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa596832-772e-48e0-85cf-4cc80be75962
p101033
sbg8
(g9
g10
NtRp101034
(dp101035
g13
Nsg14
g74
sg15
V1997
p101036
sbg8
(g9
g10
NtRp101037
(dp101038
g13
Nsg14
g74
sg15
V2007
p101039
sbg8
(g9
g10
NtRp101040
(dp101041
g13
Nsg14
Nsg15
VTRUE
p101042
sbg8
(g9
g10
NtRp101043
(dp101044
g13
Nsg14
Nsg15
VSoil
p101045
sbg8
(g9
g10
NtRp101046
(dp101047
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p101048
sbg8
(g9
g10
NtRp101049
(dp101050
g13
Nsg14
Nsg15
VFALSE
p101051
sbg8
(g9
g10
NtRp101052
(dp101053
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p101054
sbg8
(g9
g10
NtRp101055
(dp101056
g13
Nsg14
Nsg15
VFALSE
p101057
sbNNNNNNNg8
(g9
g10
NtRp101058
(dp101059
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101060
(dp101061
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101062
(dp101063
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-heavy-metals_1997-2007
p101064
sbNNtp101065
a(g8
(g9
g10
NtRp101066
(dp101067
g13
Nsg14
Nsg15
Vc0865d05-95e7-474e-a721-f2e3b2a27f94
p101068
sbNg8
(g9
g10
NtRp101069
(dp101070
g13
Nsg14
Nsg15
VCopper (Cu) concentration in topsoils, Sep. 2007
p101071
sbNNNNNg8
(g9
g10
NtRp101072
(dp101073
g13
Nsg14
Nsg15
VMaps of estimated total copper concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p101074
sbg8
(g23
g10
NtRp101075
(dp101076
g15
Vhttps://esdac.jrc.ec.europa.eu
p101077
sbNg8
(g9
g10
NtRp101078
(dp101079
g13
Nsg14
Nsg15
VFALSE
p101080
sbNNNg8
(g9
g10
NtRp101081
(dp101082
g13
Nsg14
Nsg15
VFALSE
p101083
sbNNg8
(g9
g10
NtRp101084
(dp101085
g13
Nsg14
Nsg15
VFALSE
p101086
sbNNg8
(g9
g10
NtRp101087
(dp101088
g13
Nsg14
Nsg15
VFALSE
p101089
sbNg8
(g9
g10
NtRp101090
(dp101091
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0865d05-95e7-474e-a721-f2e3b2a27f94.png
p101092
sbg8
(g9
g10
NtRp101093
(dp101094
g13
Nsg14
Nsg15
VEPSG:3035
p101095
sbg8
(g9
g10
NtRp101096
(dp101097
g13
Nsg14
Nsg15
V2019-06-04
p101098
sbNNg8
(g9
g10
NtRp101099
(dp101100
g13
Nsg14
Nsg15
Vconcentration|copper|heavy metal|soil
p101101
sbg8
(g9
g10
NtRp101102
(dp101103
g13
Nsg14
Nsg15
Vgrid
p101104
sbg8
(g9
g10
NtRp101105
(dp101106
g13
Nsg14
Nsg15
VAAIGrid
p101107
sbNg8
(g9
g10
NtRp101108
(dp101109
g13
Nsg14
Nsg15
V5000m
p101110
sbNg8
(g9
g10
NtRp101111
(dp101112
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p101113
sbg8
(g9
g10
NtRp101114
(dp101115
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0865d05-95e7-474e-a721-f2e3b2a27f94
p101116
sbg8
(g9
g10
NtRp101117
(dp101118
g13
Nsg14
g74
sg15
V1997
p101119
sbg8
(g9
g10
NtRp101120
(dp101121
g13
Nsg14
g74
sg15
V2007
p101122
sbg8
(g9
g10
NtRp101123
(dp101124
g13
Nsg14
Nsg15
VTRUE
p101125
sbg8
(g9
g10
NtRp101126
(dp101127
g13
Nsg14
Nsg15
VSoil
p101128
sbg8
(g9
g10
NtRp101129
(dp101130
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p101131
sbg8
(g9
g10
NtRp101132
(dp101133
g13
Nsg14
Nsg15
VFALSE
p101134
sbg8
(g9
g10
NtRp101135
(dp101136
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p101137
sbg8
(g9
g10
NtRp101138
(dp101139
g13
Nsg14
Nsg15
VFALSE
p101140
sbNNNNNNNg8
(g9
g10
NtRp101141
(dp101142
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101143
(dp101144
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101145
(dp101146
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-cu_1997-2007
p101147
sbNNtp101148
a(g8
(g9
g10
NtRp101149
(dp101150
g13
Nsg14
Nsg15
Vb6bc1da3-e30a-40f8-a930-9003b7fa338c
p101151
sbNg8
(g9
g10
NtRp101152
(dp101153
g13
Nsg14
Nsg15
VChromium (Cr) concentration in topsoils, Sep. 2007
p101154
sbNNNNNg8
(g9
g10
NtRp101155
(dp101156
g13
Nsg14
Nsg15
VMaps of estimated total chromium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \u000a			\u000a			Heavy metal contents are expressed in mg kg-1.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p101157
sbg8
(g23
g10
NtRp101158
(dp101159
g15
Vhttps://esdac.jrc.ec.europa.eu
p101160
sbNg8
(g9
g10
NtRp101161
(dp101162
g13
Nsg14
Nsg15
VFALSE
p101163
sbNNNg8
(g9
g10
NtRp101164
(dp101165
g13
Nsg14
Nsg15
VFALSE
p101166
sbNNg8
(g9
g10
NtRp101167
(dp101168
g13
Nsg14
Nsg15
VFALSE
p101169
sbNNg8
(g9
g10
NtRp101170
(dp101171
g13
Nsg14
Nsg15
VFALSE
p101172
sbNg8
(g9
g10
NtRp101173
(dp101174
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b6bc1da3-e30a-40f8-a930-9003b7fa338c.png
p101175
sbg8
(g9
g10
NtRp101176
(dp101177
g13
Nsg14
Nsg15
VEPSG:3035
p101178
sbg8
(g9
g10
NtRp101179
(dp101180
g13
Nsg14
Nsg15
V2019-06-04
p101181
sbNNg8
(g9
g10
NtRp101182
(dp101183
g13
Nsg14
Nsg15
Vchromium|concentration|heavy metal|soil
p101184
sbg8
(g9
g10
NtRp101185
(dp101186
g13
Nsg14
Nsg15
Vgrid
p101187
sbg8
(g9
g10
NtRp101188
(dp101189
g13
Nsg14
Nsg15
VAAIGrid
p101190
sbNg8
(g9
g10
NtRp101191
(dp101192
g13
Nsg14
Nsg15
V5000m
p101193
sbNg8
(g9
g10
NtRp101194
(dp101195
g13
Nsg14
Nsg15
VRefer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.  [http://www.sciencedirect.com/science/article/pii/S0016706108002668].
p101196
sbg8
(g9
g10
NtRp101197
(dp101198
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b6bc1da3-e30a-40f8-a930-9003b7fa338c
p101199
sbg8
(g9
g10
NtRp101200
(dp101201
g13
Nsg14
g74
sg15
V1997
p101202
sbg8
(g9
g10
NtRp101203
(dp101204
g13
Nsg14
g74
sg15
V2007
p101205
sbg8
(g9
g10
NtRp101206
(dp101207
g13
Nsg14
Nsg15
VTRUE
p101208
sbg8
(g9
g10
NtRp101209
(dp101210
g13
Nsg14
Nsg15
VSoil
p101211
sbg8
(g9
g10
NtRp101212
(dp101213
g13
Nsg14
Nsg15
VPlease cite as:\u000aReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.
p101214
sbg8
(g9
g10
NtRp101215
(dp101216
g13
Nsg14
Nsg15
VFALSE
p101217
sbg8
(g9
g10
NtRp101218
(dp101219
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p101220
sbg8
(g9
g10
NtRp101221
(dp101222
g13
Nsg14
Nsg15
VFALSE
p101223
sbNNNNNNNg8
(g9
g10
NtRp101224
(dp101225
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101226
(dp101227
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101228
(dp101229
g13
Nsg14
Nsg15
Vjrc_r_3035_5_km_esdb-hm-cr_1997-2007
p101230
sbNNtp101231
a(g8
(g9
g10
NtRp101232
(dp101233
g13
Nsg14
Nsg15
V720d6f44-2790-4c2c-acb1-50fd2f839c31
p101234
sbNg8
(g9
g10
NtRp101235
(dp101236
g13
Nsg14
Nsg15
VNatural susceptibility to compaction for Eurasia, Mar. 2008
p101237
sbNNNNNg8
(g9
g10
NtRp101238
(dp101239
g13
Nsg14
Nsg15
VThis map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil\u2019s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted.\u000a\u000aThe map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute "Evaluation" in the shapefile):\u000a\u000a    0 - no soil. This represents water bodies, glaciers and rock outcrops\u000a    1 - low susceptibility to compaction\u000a    2. - medium susceptibility to compaction\u000a    3. - high susceptibility to compaction\u000a    4. - very high susceptibility to compaction\u000a    9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh.\u000a\u000a\u000a			This metadata record is adapted from the orginal one received from JRC.
p101240
sbg8
(g23
g10
NtRp101241
(dp101242
g15
Vhttps://esdac.jrc.ec.europa.eu
p101243
sbNg8
(g9
g10
NtRp101244
(dp101245
g13
Nsg14
Nsg15
VFALSE
p101246
sbNNNg8
(g9
g10
NtRp101247
(dp101248
g13
Nsg14
Nsg15
VFALSE
p101249
sbNNg8
(g9
g10
NtRp101250
(dp101251
g13
Nsg14
Nsg15
VFALSE
p101252
sbNNg8
(g9
g10
NtRp101253
(dp101254
g13
Nsg14
Nsg15
VFALSE
p101255
sbNg8
(g9
g10
NtRp101256
(dp101257
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/720d6f44-2790-4c2c-acb1-50fd2f839c31.png
p101258
sbg8
(g9
g10
NtRp101259
(dp101260
g13
Nsg14
Nsg15
VEPSG:3035
p101261
sbg8
(g9
g10
NtRp101262
(dp101263
g13
Nsg14
Nsg15
V2019-06-04
p101264
sbNNg8
(g9
g10
NtRp101265
(dp101266
g13
Nsg14
Nsg15
Vsoil|soil compaction
p101267
sbg8
(g9
g10
NtRp101268
(dp101269
g13
Nsg14
Nsg15
Vvector
p101270
sbg8
(g9
g10
NtRp101271
(dp101272
g13
Nsg14
Nsg15
VSHP
p101273
sbNg8
(g9
g10
NtRp101274
(dp101275
g13
Nsg14
Nsg15
V1:1000000
p101276
sbNg8
(g9
g10
NtRp101277
(dp101278
g13
Nsg14
Nsg15
VRefer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf
p101279
sbg8
(g9
g10
NtRp101280
(dp101281
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/720d6f44-2790-4c2c-acb1-50fd2f839c31
p101282
sbg8
(g9
g10
NtRp101283
(dp101284
g13
Nsg14
g74
sg15
V2000
p101285
sbg8
(g9
g10
NtRp101286
(dp101287
g13
Nsg14
g74
sg15
V2004
p101288
sbg8
(g9
g10
NtRp101289
(dp101290
g13
Nsg14
Nsg15
VTRUE
p101291
sbg8
(g9
g10
NtRp101292
(dp101293
g13
Nsg14
Nsg15
VSoil
p101294
sbg8
(g9
g10
NtRp101295
(dp101296
g13
Nsg14
Nsg15
VNotification regarding these data:\u000a\u000a    The data of the "Map of Natural Susceptibility of Soils to Compaction" are made available for research purposes only and not for any other activity.\u000a    The data of the "Map of Natural Susceptibility of Soils to Compaction" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\u000a    "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008\u000a\u000aReference of source :\u000a"Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008
p101297
sbg8
(g9
g10
NtRp101298
(dp101299
g13
Nsg14
Nsg15
VFALSE
p101300
sbg8
(g9
g10
NtRp101301
(dp101302
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p101303
sbg8
(g9
g10
NtRp101304
(dp101305
g13
Nsg14
Nsg15
VFALSE
p101306
sbNNNNNNNg8
(g9
g10
NtRp101307
(dp101308
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101309
(dp101310
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101311
(dp101312
g13
Nsg14
Nsg15
Vjrc_v_3035_1_mio_esdb-comp-susc-eurasia_1974-2004
p101313
sbNNtp101314
a(g8
(g9
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p101317
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VGlobal Soil Organic Carbon Estimates in subsoil (30 arcsec), Mar. 2012
p101320
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NtRp101321
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g13
Nsg14
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VGlobal estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\u000a\u000a			This dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD.\u000a\u000a			The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p101323
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Vhttps://esdac.jrc.ec.europa.eu
p101326
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p101329
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p101332
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p101335
sbNNg8
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p101338
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c872cc3a-f73d-447c-8140-be183811801d.png
p101341
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p101344
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NtRp101345
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g13
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V2019-06-04
p101347
sbNNg8
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NtRp101348
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g13
Nsg14
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Vorganic carbon|soil
p101350
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NtRp101351
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Vgrid
p101353
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VGTiff
p101356
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V0.00833333333deg
p101359
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VRefer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]\u000a				  \u000a				  The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip
p101362
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c872cc3a-f73d-447c-8140-be183811801d
p101365
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V2009
p101368
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p101371
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p101374
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p101377
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g13
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VNotification regarding these data:\u000a\u000a    The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\u000a    The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\u000a    All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p101380
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(g9
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NtRp101381
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Nsg15
VFALSE
p101383
sbg8
(g9
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NtRp101384
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Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p101386
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Nsg15
VFALSE
p101389
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sbg8
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NtRp101392
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V
sbNNg8
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NtRp101394
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Vjrc_r_4326_30_arcsec_org-c-sub_2009
p101396
sbNNtp101397
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V4dccd960-23ff-42ae-aab5-d35bfcf0c37b
p101400
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NtRp101401
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VPan-European Soil Erosion Risk Assessment (PESERA), Jan. 2004
p101403
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NtRp101404
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g13
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VSoil erosion is a natural process, occurring over geological time, and indeed it is a process that is essential for soil formation in the first place. With respect to soil degradation, most concerns about erosion are related to accelerated erosion, where the natural rate has been significantly increased mostly by human activity. Soil erosion by water is a widespread problem throughout Europe. PESERA (Pan European Soil Erosion Risk Assessment) has been created in order to design a model and to handle spatial and temporal data of variable quality and detail and to enable the impacts of agricultural policy, land use and climate changes to be assessed and monitored across Europe. The Pan-European Soil Erosion Risk Assessment - PESERA - uses a process-based and spatially distributed model to quantify soil erosion by water and assess its risk across Europe.\u000a			\u000a			This metadata record is adapted from the orginal one received from JRC.
p101406
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Vhttps://esdac.jrc.ec.europa.eu
p101409
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p101412
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p101415
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p101418
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VFALSE
p101421
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NtRp101422
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4dccd960-23ff-42ae-aab5-d35bfcf0c37b.png
p101424
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NtRp101425
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VEPSG:3035
p101427
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V2019-06-04
p101430
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Vsoil|soil conservation|soil erosion
p101433
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Vgrid
p101436
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VAIG
p101439
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V1000m
p101442
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g13
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VRefer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/pesera_data.html and to \u000a* "Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73)."\u000a* Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J.(2004). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\u000a[http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/esb_rr/n16_ThePeseraMapBkLet52.pdf]\u000a[http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/docs/EROSIONA4.pdf].
p101445
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NtRp101446
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4dccd960-23ff-42ae-aab5-d35bfcf0c37b
p101448
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g74
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V2003
p101451
sbg8
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g74
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V2003
p101454
sbg8
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NtRp101455
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g13
Nsg14
Nsg15
VFALSE
p101457
sbg8
(g9
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NtRp101458
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g13
Nsg14
Nsg15
VSoil
p101460
sbg8
(g9
g10
NtRp101461
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g13
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VNotification regarding these data:\u000a\u000a    These data provided have been prepared by the Partners in the The PESERA Project (Contract No. QLK5-CT- 1999-01323) in collaboration with the Institute for Environment & Sustainability, JRC Ispra.\u000a    These data are the main results from the The PESERA Project and are made available for research purposes in the European Communities and collaborating organisations only and not for any other activity.\u000a    The Pesera Partners and the DG-JRC do not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The DG JRC agrees to provide these data, free of charge, on behalf of The PESERA Project, but the DG-JRC is not bound to justify the content and values contained therein.\u000a    The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\u000a    The user agrees to:\u000a       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\u000a       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\u000a\u000aReference of source (Citations) :\u000a\u000a    Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J. (2004). Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\u000a    S.P.I.04.73. (2004). The PESERA Map: Pan-European Soil Erosion Risk Assessment. Special Publication Ispra 2004 No.73, map in ISO B1 format. Office for Official Publications of the European Communities\u000a    Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
p101463
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VFALSE
p101466
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VEuropean Commission, Joint Research Centre
p101469
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VFALSE
p101472
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Vjrc_r_3035_1_km_esdb-pesera_2003
p101479
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p101483
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VGISCO - Administrative units 2013 at country level, Nov. 2015
p101486
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VThis data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. \u000aThis metadata only refers to the full dataset at 100k and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2013.xml) is provided together with the dataset.\u000aThe public dataset is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries#countries13.
p101489
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p101492
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p101507
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V2019-06-04
p101510
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Vadministrative boundary
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Vvector
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VFGeo
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VThe dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.\u000aIn this version the Territory of Ashmore and Cartier Islands has been merged with Australia and the AC country code removed.
p101525
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ffdf7094-0d4a-497d-9b78-7545cb03da25
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VAdministrative units|World
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VGeneralised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as \u201c@EuroGeographics\u201d on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.
p101537
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p101540
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VEuropean Commission, Eurostat (ESTAT), GISCO
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p101553
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VNatura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats.\u000a\u000aA selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m.\u000a\u000aThe production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p101563
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p101584
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VSHP
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VSemi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pléiades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement. The Minimum Mapping Unit (MMU) is 0.5 ha. The Minimum Mapping Width is 10m. The Positional Accuracy is less than 5 m (according to geo-location accuracy of satellite imagery delivered by ESA: less than 5m RMSE). Accuracy Assessment approach: Stratified Random Point Sampling. Interpretation of sampling points has been performed on the best available reference data. The area-corrected Overall Accuracy is above 85%.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28370b9b-1c91-4b29-80a2-fbf2d32c8881
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VLand cover|Protected sites|EU27
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VEuropean Environment Agency
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p101620
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p101631
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VHigh Resolution Layer: Imperviousness Classified Change 2012-2015 (raster 20m), Apr. 2018
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p101637
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p101640
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VFALSE
p101643
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p101646
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VEPSG:3035
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V2019-06-04
p101658
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Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
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VGTiff
p101667
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V20m
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d131e52-0ce9-41a1-9a96-0310eb97c415
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VFALSE
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VLand cover|EEA39
p101682
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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p101688
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VEuropean Environment Agency
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p101694
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Vcopernicus_r_3035_20_m_imcc_2011-2016
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VRiparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\u000a\u000aThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\u000a\u000aThe delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones\u2019 LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services.\u000a\u000aThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
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VFALSE
p101714
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p101717
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VFALSE
p101720
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VFALSE
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VEPSG:3035
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V2019-06-04
p101732
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p101744
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VThe calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach.\u000aMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.
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p101753
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p101756
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
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VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
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VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
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VEuropean Environment Agency
p101839
sbg8
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g10
NtRp101840
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g13
Nsg14
Nsg15
VFALSE
p101842
sbNNNNNNNg8
(g9
g10
NtRp101843
(dp101844
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101845
(dp101846
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101847
(dp101848
g13
Nsg14
Nsg15
Vcopernicus_r_3035_100_m_imd_2014-2016
p101849
sbNNtp101850
a(g8
(g9
g10
NtRp101851
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g13
Nsg14
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V62ab826c-9411-4dbf-b516-beb1db681830
p101853
sbNg8
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g10
NtRp101854
(dp101855
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Classified Change 2006-2009 (raster 20m), Apr. 2018
p101856
sbNNNNNg8
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g10
NtRp101857
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g13
Nsg14
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VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p101859
sbNNg8
(g9
g10
NtRp101860
(dp101861
g13
Nsg14
Nsg15
VFALSE
p101862
sbNNNg8
(g9
g10
NtRp101863
(dp101864
g13
Nsg14
Nsg15
VFALSE
p101865
sbNNg8
(g9
g10
NtRp101866
(dp101867
g13
Nsg14
Nsg15
VFALSE
p101868
sbNNg8
(g9
g10
NtRp101869
(dp101870
g13
Nsg14
Nsg15
VFALSE
p101871
sbNg8
(g9
g10
NtRp101872
(dp101873
g13
Nsg14
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/62ab826c-9411-4dbf-b516-beb1db681830.png
p101874
sbg8
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g10
NtRp101875
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g13
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Nsg15
VEPSG:3035
p101877
sbg8
(g9
g10
NtRp101878
(dp101879
g13
Nsg14
Nsg15
V2019-06-04
p101880
sbNNg8
(g9
g10
NtRp101881
(dp101882
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p101883
sbg8
(g9
g10
NtRp101884
(dp101885
g13
Nsg14
Nsg15
Vgrid
p101886
sbg8
(g9
g10
NtRp101887
(dp101888
g13
Nsg14
Nsg15
VGTiff
p101889
sbNg8
(g9
g10
NtRp101890
(dp101891
g13
Nsg14
Nsg15
V20m
p101892
sbNg8
(g9
g10
NtRp101893
(dp101894
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p101895
sbg8
(g9
g10
NtRp101896
(dp101897
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62ab826c-9411-4dbf-b516-beb1db681830
p101898
sbNNg8
(g9
g10
NtRp101899
(dp101900
g13
Nsg14
Nsg15
VFALSE
p101901
sbg8
(g9
g10
NtRp101902
(dp101903
g13
Nsg14
Nsg15
VLand cover|EEA39
p101904
sbg8
(g9
g10
NtRp101905
(dp101906
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p101907
sbg8
(g9
g10
NtRp101908
(dp101909
g13
Nsg14
Nsg15
VFALSE
p101910
sbg8
(g9
g10
NtRp101911
(dp101912
g13
Nsg14
Nsg15
VEuropean Environment Agency
p101913
sbg8
(g9
g10
NtRp101914
(dp101915
g13
Nsg14
Nsg15
VFALSE
p101916
sbNNNNNNNg8
(g9
g10
NtRp101917
(dp101918
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101919
(dp101920
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp101921
(dp101922
g13
Nsg14
Nsg15
Vcopernicus_r_3035_20_m_imcc_2006-2009
p101923
sbNNtp101924
a(g8
(g9
g10
NtRp101925
(dp101926
g13
Nsg14
Nsg15
V0b699aed-e477-437f-b8b2-643f7793fb5d
p101927
sbNg8
(g9
g10
NtRp101928
(dp101929
g13
Nsg14
Nsg15
VNatura 2000 - 2006 (vector), Nov. 2015
p101930
sbNNNNNg8
(g9
g10
NtRp101931
(dp101932
g13
Nsg14
Nsg15
VNatura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats.\u000a\u000aA selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m.\u000a\u000aThe production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
p101933
sbNNg8
(g9
g10
NtRp101934
(dp101935
g13
Nsg14
Nsg15
VFALSE
p101936
sbNNNg8
(g9
g10
NtRp101937
(dp101938
g13
Nsg14
Nsg15
VFALSE
p101939
sbNNg8
(g9
g10
NtRp101940
(dp101941
g13
Nsg14
Nsg15
VFALSE
p101942
sbNNg8
(g9
g10
NtRp101943
(dp101944
g13
Nsg14
Nsg15
VFALSE
p101945
sbNg8
(g9
g10
NtRp101946
(dp101947
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b699aed-e477-437f-b8b2-643f7793fb5d.png
p101948
sbg8
(g9
g10
NtRp101949
(dp101950
g13
Nsg14
Nsg15
VEPSG:3035
p101951
sbg8
(g9
g10
NtRp101952
(dp101953
g13
Nsg14
Nsg15
V2019-06-04
p101954
sbNNg8
(g9
g10
NtRp101955
(dp101956
g13
Nsg14
Nsg15
Vhabitat|land use|landscape alteration|natural area|natural areas protection|protected area|species
p101957
sbg8
(g9
g10
NtRp101958
(dp101959
g13
Nsg14
Nsg15
Vvector
p101960
sbg8
(g9
g10
NtRp101961
(dp101962
g13
Nsg14
Nsg15
VSHP
p101963
sbNg8
(g9
g10
NtRp101964
(dp101965
g13
Nsg14
Nsg15
V10m
p101966
sbNg8
(g9
g10
NtRp101967
(dp101968
g13
Nsg14
Nsg15
VSemi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pléiades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement.\u000aMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m
p101969
sbg8
(g9
g10
NtRp101970
(dp101971
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b699aed-e477-437f-b8b2-643f7793fb5d
p101972
sbg8
(g9
g10
NtRp101973
(dp101974
g13
Nsg14
g74
sg15
V2004
p101975
sbg8
(g9
g10
NtRp101976
(dp101977
g13
Nsg14
g74
sg15
V2008
p101978
sbg8
(g9
g10
NtRp101979
(dp101980
g13
Nsg14
Nsg15
VTRUE
p101981
sbg8
(g9
g10
NtRp101982
(dp101983
g13
Nsg14
Nsg15
VLand cover|Protected sites|EU27
p101984
sbg8
(g9
g10
NtRp101985
(dp101986
g13
Nsg14
Nsg15
VAccess to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\u000a\u000aFree, full and open access to this data set is made on the conditions that:\u000a\u000a1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\u000a\u000a2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\u000a\u000a3. Where that data or information has been adapted or modified, the user shall clearly state this.\u000a\u000a4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.
p101987
sbg8
(g9
g10
NtRp101988
(dp101989
g13
Nsg14
Nsg15
VFALSE
p101990
sbg8
(g9
g10
NtRp101991
(dp101992
g13
Nsg14
Nsg15
VEuropean Environment Agency
p101993
sbg8
(g9
g10
NtRp101994
(dp101995
g13
Nsg14
Nsg15
VFALSE
p101996
sbNNNNNNNg8
(g9
g10
NtRp101997
(dp101998
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp101999
(dp102000
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102001
(dp102002
g13
Nsg14
Nsg15
Vcopernicus_v_3035_10_m_n2k_2004-2008
p102003
sbNNtp102004
a(g8
(g9
g10
NtRp102005
(dp102006
g13
Nsg14
Nsg15
V37a6a5d1-b098-48d7-9969-81584ff0e1c1
p102007
sbNg8
(g9
g10
NtRp102008
(dp102009
g13
Nsg14
Nsg15
VASTER Global Digital Elevation Model subset over Europe (ASTER-GDEM, resolution 25 m)
p102010
sbNNNNNg8
(g9
g10
NtRp102011
(dp102012
g13
Nsg14
Nsg15
VThis dataset is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applying a hermite spline interpolation technique.\u000a\u000aCopyright notice: ASTER GDEM\u000aCopyright (c) 2009 - 2011 Earth Remote Sensing Data Analysis Center (ERSDAC) All rights reserved.
p102013
sbNNg8
(g9
g10
NtRp102014
(dp102015
g13
Nsg14
Nsg15
VFALSE
p102016
sbNNNg8
(g9
g10
NtRp102017
(dp102018
g13
Nsg14
Nsg15
VFALSE
p102019
sbNNg8
(g9
g10
NtRp102020
(dp102021
g13
Nsg14
Nsg15
VFALSE
p102022
sbNNg8
(g9
g10
NtRp102023
(dp102024
g13
Nsg14
Nsg15
VFALSE
p102025
sbNg8
(g9
g10
NtRp102026
(dp102027
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png
p102028
sbg8
(g9
g10
NtRp102029
(dp102030
g13
Nsg14
Nsg15
VEPSG:3035
p102031
sbg8
(g9
g10
NtRp102032
(dp102033
g13
Nsg14
Nsg15
V2019-06-04
p102034
sbNNg8
(g9
g10
NtRp102035
(dp102036
g13
Nsg14
Nsg15
VCartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing
p102037
sbg8
(g9
g10
NtRp102038
(dp102039
g13
Nsg14
Nsg15
Vgrid
p102040
sbg8
(g9
g10
NtRp102041
(dp102042
g13
Nsg14
Nsg15
VGTiff
p102043
sbNg8
(g9
g10
NtRp102044
(dp102045
g13
Nsg14
Nsg15
V25m
p102046
sbNg8
(g9
g10
NtRp102047
(dp102048
g13
Nsg14
Nsg15
VThis layer is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applting a hermite spline interpolation technique.
p102049
sbg8
(g9
g10
NtRp102050
(dp102051
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/37a6a5d1-b098-48d7-9969-81584ff0e1c1
p102052
sbg8
(g9
g10
NtRp102053
(dp102054
g13
Nsg14
g74
sg15
V2000
p102055
sbg8
(g9
g10
NtRp102056
(dp102057
g13
Nsg14
g74
sg15
V2010
p102058
sbg8
(g9
g10
NtRp102059
(dp102060
g13
Nsg14
Nsg15
VTRUE
p102061
sbg8
(g9
g10
NtRp102062
(dp102063
g13
Nsg14
Nsg15
VElevation|Hydrography
p102064
sbg8
(g9
g10
NtRp102065
(dp102066
g13
Nsg14
Nsg15
VThe copyright notice mentioned at http://www.gdem.aster.ersdac.or.jp/faq.jsp must be displayed when using the data.
p102067
sbg8
(g9
g10
NtRp102068
(dp102069
g13
Nsg14
Nsg15
VFALSE
p102070
sbg8
(g9
g10
NtRp102071
(dp102072
g13
Nsg14
Nsg15
VEuropean Commission, Joint Research Centre
p102073
sbg8
(g9
g10
NtRp102074
(dp102075
g13
Nsg14
Nsg15
VFALSE
p102076
sbNNNNNNNg8
(g9
g10
NtRp102077
(dp102078
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102079
(dp102080
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102081
(dp102082
g13
Nsg14
Nsg15
Vjrc_r_3035_25_m_aster-gdem_2012
p102083
sbNNtp102084
a(g8
(g9
g10
NtRp102085
(dp102086
g13
Nsg14
Nsg15
Vbb32d49d-71ce-4a89-884a-e7e6fb118333
p102087
sbNg8
(g9
g10
NtRp102088
(dp102089
g13
Nsg14
Nsg15
VHigh Resolution Layer: Imperviousness Classified Change 2009-2012 (raster 20m), Apr. 2018
p102090
sbNNNNNg8
(g9
g10
NtRp102091
(dp102092
g13
Nsg14
Nsg15
VThe high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.
p102093
sbNNg8
(g9
g10
NtRp102094
(dp102095
g13
Nsg14
Nsg15
VFALSE
p102096
sbNNNg8
(g9
g10
NtRp102097
(dp102098
g13
Nsg14
Nsg15
VFALSE
p102099
sbNNg8
(g9
g10
NtRp102100
(dp102101
g13
Nsg14
Nsg15
VFALSE
p102102
sbNNg8
(g9
g10
NtRp102103
(dp102104
g13
Nsg14
Nsg15
VFALSE
p102105
sbNg8
(g9
g10
NtRp102106
(dp102107
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb32d49d-71ce-4a89-884a-e7e6fb118333.png
p102108
sbg8
(g9
g10
NtRp102109
(dp102110
g13
Nsg14
Nsg15
VEPSG:3035
p102111
sbg8
(g9
g10
NtRp102112
(dp102113
g13
Nsg14
Nsg15
V2019-06-04
p102114
sbNNg8
(g9
g10
NtRp102115
(dp102116
g13
Nsg14
Nsg15
Vbuilt environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area
p102117
sbg8
(g9
g10
NtRp102118
(dp102119
g13
Nsg14
Nsg15
Vgrid
p102120
sbg8
(g9
g10
NtRp102121
(dp102122
g13
Nsg14
Nsg15
VGTiff
p102123
sbNg8
(g9
g10
NtRp102124
(dp102125
g13
Nsg14
Nsg15
V20m
p102126
sbNg8
(g9
g10
NtRp102127
(dp102128
g13
Nsg14
Nsg15
VQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\u000a(i) Completeness,\u000a(ii) Logical Consistency,\u000a(iii) Thematic Accuracy,\u000a(iv) Temporal quality and\u000a(v) Usability.\u000aEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
p102129
sbg8
(g9
g10
NtRp102130
(dp102131
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb32d49d-71ce-4a89-884a-e7e6fb118333
p102132
sbg8
(g9
g10
NtRp102133
(dp102134
g13
Nsg14
g74
sg15
V2008
p102135
sbg8
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p102138
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VTRUE
p102141
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p102144
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p102147
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VFALSE
p102150
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p102153
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NtRp102154
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Nsg15
VFALSE
p102156
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NtRp102157
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NtRp102161
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Vcopernicus_r_3035_20_m_imcc_2008-2013
p102163
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p102167
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g13
Nsg14
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VAdministrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012
p102170
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NtRp102171
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g13
Nsg14
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VThis dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO.\u000a\u000aThe country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999.\u000a\u000aUsers should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245).\u000a\u000aThe Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO:\u000a\u000acomm_id\u000a\u000a---------\u000a\u000aRS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37
p102173
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VFALSE
p102176
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VFALSE
p102179
sbNNg8
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NtRp102180
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g13
Nsg14
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VFALSE
p102182
sbNNg8
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NtRp102183
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VFALSE
p102185
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V2019-06-04
p102191
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g13
Nsg14
Nsg15
Vadministrative boundary
p102194
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NtRp102195
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Nsg14
Nsg15
Vvector
p102197
sbg8
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NtRp102198
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Nsg14
Nsg15
VSHP
p102200
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NtRp102201
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Nsg15
V1:1000000
p102203
sbNg8
(g9
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NtRp102204
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g13
Nsg14
Nsg15
V+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M.\u000a\u000a+ Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M.\u000a\u000a+ Split of Serbia feature with the boundary line, both for 100K and 1M.
p102206
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NtRp102207
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Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af23e943-253e-4681-a22d-9ba131cd48a9
p102209
sbNNg8
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g10
NtRp102210
(dp102211
g13
Nsg14
Nsg15
VFALSE
p102212
sbg8
(g9
g10
NtRp102213
(dp102214
g13
Nsg14
Nsg15
VAdministrative units
p102215
sbg8
(g9
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NtRp102216
(dp102217
g13
Nsg14
Nsg15
VThis data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012."\u000a\u000aAn overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
p102218
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NtRp102219
(dp102220
g13
Nsg14
Nsg15
VFALSE
p102221
sbg8
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g10
NtRp102222
(dp102223
g13
Nsg14
Nsg15
VEuropean Environment Agency
p102224
sbg8
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g10
NtRp102225
(dp102226
g13
Nsg14
Nsg15
VFALSE
p102227
sbNNNNNNNg8
(g9
g10
NtRp102228
(dp102229
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102230
(dp102231
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102232
(dp102233
g13
Nsg14
Nsg15
Veea_v_4258_1_mio_gisco-admin-boundaries-kosovo_2010
p102234
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NtRp102236
(dp102237
g13
Nsg14
Nsg15
V10b2fdf5-83df-405d-8b2e-842faf54f407
p102238
sbNg8
(g9
g10
NtRp102239
(dp102240
g13
Nsg14
Nsg15
VGISCO - Administrative units 2010 at country level, Aug. 2012
p102241
sbNNNNNg8
(g9
g10
NtRp102242
(dp102243
g13
Nsg14
Nsg15
VThis data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1\u000aThe full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
p102244
sbNNg8
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NtRp102245
(dp102246
g13
Nsg14
Nsg15
VFALSE
p102247
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NtRp102248
(dp102249
g13
Nsg14
Nsg15
VFALSE
p102250
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(g9
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NtRp102251
(dp102252
g13
Nsg14
Nsg15
VFALSE
p102253
sbNNg8
(g9
g10
NtRp102254
(dp102255
g13
Nsg14
Nsg15
VFALSE
p102256
sbNg8
(g9
g10
NtRp102257
(dp102258
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b2fdf5-83df-405d-8b2e-842faf54f407.png
p102259
sbNg8
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g10
NtRp102260
(dp102261
g13
Nsg14
Nsg15
V2019-06-04
p102262
sbNNg8
(g9
g10
NtRp102263
(dp102264
g13
Nsg14
Nsg15
Vadministrative boundary
p102265
sbg8
(g9
g10
NtRp102266
(dp102267
g13
Nsg14
Nsg15
Vvector
p102268
sbg8
(g9
g10
NtRp102269
(dp102270
g13
Nsg14
Nsg15
VFGeo
p102271
sbNg8
(g9
g10
NtRp102272
(dp102273
g13
Nsg14
Nsg15
V1:60000000
p102274
sbNg8
(g9
g10
NtRp102275
(dp102276
g13
Nsg14
Nsg15
VThe dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c
p102277
sbg8
(g9
g10
NtRp102278
(dp102279
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b2fdf5-83df-405d-8b2e-842faf54f407
p102280
sbNNg8
(g9
g10
NtRp102281
(dp102282
g13
Nsg14
Nsg15
VFALSE
p102283
sbg8
(g9
g10
NtRp102284
(dp102285
g13
Nsg14
Nsg15
VAdministrative units
p102286
sbg8
(g9
g10
NtRp102287
(dp102288
g13
Nsg14
Nsg15
VThis data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO" An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
p102289
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(g9
g10
NtRp102290
(dp102291
g13
Nsg14
Nsg15
VFALSE
p102292
sbg8
(g9
g10
NtRp102293
(dp102294
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p102295
sbg8
(g9
g10
NtRp102296
(dp102297
g13
Nsg14
Nsg15
VFALSE
p102298
sbNNNNNNNg8
(g9
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NtRp102299
(dp102300
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102301
(dp102302
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102303
(dp102304
g13
Nsg14
Nsg15
Veurostat_v_4258_x_x_gisco-admin-boundaries_2010
p102305
sbNNtp102306
a(g8
(g9
g10
NtRp102307
(dp102308
g13
Nsg14
Nsg15
Vb877e4b8-01d0-4d8e-9f9e-4cd255b25493
p102309
sbNg8
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NtRp102310
(dp102311
g13
Nsg14
Nsg15
VGISCO - Coastlines and sea regions 2010, Aug. 2012
p102312
sbNNNNNg8
(g9
g10
NtRp102313
(dp102314
g13
Nsg14
Nsg15
VThis data set represents the coastlines of the world and is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
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VFALSE
p102318
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VFALSE
p102321
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NtRp102322
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VFALSE
p102324
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Nsg15
VFALSE
p102327
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g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b877e4b8-01d0-4d8e-9f9e-4cd255b25493.png
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V2019-06-04
p102333
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Vadministrative boundary|coast
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Nsg14
Nsg15
Vvector
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VFGeo
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V1:60000000
p102345
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VThe dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b877e4b8-01d0-4d8e-9f9e-4cd255b25493
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p102360
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Nsg15
VFALSE
p102363
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p102366
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VFALSE
p102369
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sbg8
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Nsg15
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Veurostat_v_4258_x_x_gisco-coastlines_2010
p102376
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p102380
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VMSFD provisional dataset on sea regions and sub-regions - INTERNAL VERSION, Sep. 2013
p102383
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g13
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VDraft version of the regions boundaries at sea to be used for the MSFD reporting. This dataset has not been approved by Member States.
p102386
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p102392
sbNNg8
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NtRp102393
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g13
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Nsg15
VFALSE
p102395
sbNNg8
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g10
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g13
Nsg14
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p102398
sbNg8
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Nsg15
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V2019-06-04
p102404
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g13
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Vsea
p102407
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Nsg14
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VSHP
p102413
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g13
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V1:1000000
p102416
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NtRp102417
(dp102418
g13
Nsg14
Nsg15
VDraft dataset pending approval by Member States.
p102419
sbg8
(g9
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g13
Nsg14
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81197a77-db68-49c4-8678-1fdd2acc41dc
p102422
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g13
Nsg14
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VFALSE
p102425
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NtRp102426
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g13
Nsg14
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VSea regions
p102428
sbg8
(g9
g10
NtRp102429
(dp102430
g13
Nsg14
Nsg15
VStrictly for internal use.
p102431
sbg8
(g9
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NtRp102432
(dp102433
g13
Nsg14
Nsg15
VFALSE
p102434
sbg8
(g9
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NtRp102435
(dp102436
g13
Nsg14
Nsg15
VEuropean Environment Agency
p102437
sbg8
(g9
g10
NtRp102438
(dp102439
g13
Nsg14
Nsg15
VFALSE
p102440
sbNNNNNNNg8
(g9
g10
NtRp102441
(dp102442
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102443
(dp102444
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102445
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g13
Nsg14
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Veea_v_4258_1_mio_msfd-sea-regions_2013
p102447
sbNNtp102448
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NtRp102449
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g13
Nsg14
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Vf1d0161c-7d28-4e50-97c1-8a2b4dd601e1
p102451
sbNg8
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NtRp102452
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g13
Nsg14
Nsg15
VAdministrative units 2010 at country level (1:100k) including Kosovo (UNSCR 1244/99), Oct. 2012
p102454
sbNNNNNg8
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NtRp102455
(dp102456
g13
Nsg14
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VThis dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO.\u000a\u000aThe country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999.\u000a\u000aUsers should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245).\u000a\u000aThe Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO:\u000a\u000a comm_id\u000a---------\u000aRS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37
p102457
sbNNg8
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NtRp102458
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g13
Nsg14
Nsg15
VFALSE
p102460
sbNNNg8
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g10
NtRp102461
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g13
Nsg14
Nsg15
VFALSE
p102463
sbNNg8
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NtRp102464
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g13
Nsg14
Nsg15
VFALSE
p102466
sbNNg8
(g9
g10
NtRp102467
(dp102468
g13
Nsg14
Nsg15
VFALSE
p102469
sbNg8
(g9
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NtRp102470
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g13
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1.png
p102472
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g13
Nsg14
Nsg15
V2019-06-04
p102475
sbNNg8
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g10
NtRp102476
(dp102477
g13
Nsg14
Nsg15
Vadministrative boundary
p102478
sbg8
(g9
g10
NtRp102479
(dp102480
g13
Nsg14
Nsg15
Vvector
p102481
sbg8
(g9
g10
NtRp102482
(dp102483
g13
Nsg14
Nsg15
VSHP
p102484
sbNg8
(g9
g10
NtRp102485
(dp102486
g13
Nsg14
Nsg15
V1:100000
p102487
sbNg8
(g9
g10
NtRp102488
(dp102489
g13
Nsg14
Nsg15
V+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M.\u000a+ Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M.\u000a+ Split of Serbia feature with the boundary line, both for 100K and 1M.
p102490
sbg8
(g9
g10
NtRp102491
(dp102492
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1
p102493
sbNNg8
(g9
g10
NtRp102494
(dp102495
g13
Nsg14
Nsg15
VFALSE
p102496
sbg8
(g9
g10
NtRp102497
(dp102498
g13
Nsg14
Nsg15
VAdministrative units
p102499
sbg8
(g9
g10
NtRp102500
(dp102501
g13
Nsg14
Nsg15
VThis data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012."\u000a\u000aAn overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
p102502
sbg8
(g9
g10
NtRp102503
(dp102504
g13
Nsg14
Nsg15
VFALSE
p102505
sbg8
(g9
g10
NtRp102506
(dp102507
g13
Nsg14
Nsg15
VEuropean Environment Agency
p102508
sbg8
(g9
g10
NtRp102509
(dp102510
g13
Nsg14
Nsg15
VFALSE
p102511
sbNNNNNNNg8
(g9
g10
NtRp102512
(dp102513
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102514
(dp102515
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102516
(dp102517
g13
Nsg14
Nsg15
Veea_v_4258_100_k_gisco-admin-boundaries-kosovo_2010
p102518
sbNNtp102519
a(g8
(g9
g10
NtRp102520
(dp102521
g13
Nsg14
Nsg15
V16c57e11-9b6d-4250-bb38-1986690079e5
p102522
sbNg8
(g9
g10
NtRp102523
(dp102524
g13
Nsg14
Nsg15
VGISCO - Exclusive Economic Zones (EEZ) of the world 2010, Aug. 2012
p102525
sbNNNNNg8
(g9
g10
NtRp102526
(dp102527
g13
Nsg14
Nsg15
VUnder the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast. The data set has been derived from the World Maritime Boundaries v5.0 dataset from the Flanders Marine Institute (VLIZ) and integrated with the datasets "Communes 2010 \u2013 European Commission, Eurostat/GISCO", "Countries 2010, European Commission - Eurostat/GISCO", "Coastlines 2010, European Commission - Eurostat/GISCO". The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
p102528
sbNNg8
(g9
g10
NtRp102529
(dp102530
g13
Nsg14
Nsg15
VFALSE
p102531
sbNNNg8
(g9
g10
NtRp102532
(dp102533
g13
Nsg14
Nsg15
VFALSE
p102534
sbNNg8
(g9
g10
NtRp102535
(dp102536
g13
Nsg14
Nsg15
VFALSE
p102537
sbNNg8
(g9
g10
NtRp102538
(dp102539
g13
Nsg14
Nsg15
VFALSE
p102540
sbNg8
(g9
g10
NtRp102541
(dp102542
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/16c57e11-9b6d-4250-bb38-1986690079e5.png
p102543
sbNg8
(g9
g10
NtRp102544
(dp102545
g13
Nsg14
Nsg15
V2019-06-04
p102546
sbNNg8
(g9
g10
NtRp102547
(dp102548
g13
Nsg14
Nsg15
Vadministrative boundary
p102549
sbg8
(g9
g10
NtRp102550
(dp102551
g13
Nsg14
Nsg15
Vvector
p102552
sbg8
(g9
g10
NtRp102553
(dp102554
g13
Nsg14
Nsg15
VFGeo
p102555
sbNg8
(g9
g10
NtRp102556
(dp102557
g13
Nsg14
Nsg15
V1:60000000
p102558
sbNg8
(g9
g10
NtRp102559
(dp102560
g13
Nsg14
Nsg15
VThe dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c
p102561
sbg8
(g9
g10
NtRp102562
(dp102563
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16c57e11-9b6d-4250-bb38-1986690079e5
p102564
sbNNg8
(g9
g10
NtRp102565
(dp102566
g13
Nsg14
Nsg15
VFALSE
p102567
sbg8
(g9
g10
NtRp102568
(dp102569
g13
Nsg14
Nsg15
VArea management/restriction/regulation zones and reporting units
p102570
sbg8
(g9
g10
NtRp102571
(dp102572
g13
Nsg14
Nsg15
VThe dataset should be referred to as "Exclusive Economic Zones of the World, 2010, European Commission - Eurostat/GISCO". Access to dataset is restricted to the personnel of the European Commission and its contractors. Access to the dataset by the general public is not possible, due to intellectual property rights. Use is allowed only inside the Commission. The dataset can be used for scientific, educational or research purposes but should not be used for legal, commercial/economical (exploration of natural resources) or navigational purposes. This data set is not based on official sources. We encourage the use of the official Commission disclaimer on all publications (http://ec.europa.eu/geninfo/legal_notices_en.htm). The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Maritime boundaries: © Flanders Marine Institute (VLIZ) Coastline: © EuroGeographics, © FAO (UN). Source: European Commission \u2013 Eurostat/GISCO French: Zones maritimes: © Flanders Marine Institute (VLIZ) (translate: coastline): © EuroGeographics, © FAO (UN) Source: Commission européenne \u2013 Eurostat/GISCO German: Seegrenzen: © Flanders Marine Institute (VLIZ) (translate: coastline): © EuroGeographics, © FAO (UN) Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
p102573
sbg8
(g9
g10
NtRp102574
(dp102575
g13
Nsg14
Nsg15
VFALSE
p102576
sbg8
(g9
g10
NtRp102577
(dp102578
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p102579
sbg8
(g9
g10
NtRp102580
(dp102581
g13
Nsg14
Nsg15
VFALSE
p102582
sbNNNNNNNg8
(g9
g10
NtRp102583
(dp102584
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp102585
(dp102586
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp102587
(dp102588
g13
Nsg14
Nsg15
Veurostat_v_4258_x_x_gisco-eez_2010
p102589
sbNNtp102590
a(g8
(g9
g10
NtRp102591
(dp102592
g13
Nsg14
Nsg15
Vb4d44141-e5c0-4e23-b11e-d64c5087c413
p102593
sbNg8
(g9
g10
NtRp102594
(dp102595
g13
Nsg14
Nsg15
VGISCO - Communes 2010, Aug. 2012
p102596
sbNNNNNg8
(g9
g10
NtRp102597
(dp102598
g13
Nsg14
Nsg15
VThis data set shows pan European administrative boundaries down to commune level version 2010. Communes are equivalent to Local Administrative Units, level 2 (LAU2), except for GR (LAU1) and SI (so called LAU3). The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction The data set is based on EuroBoundaryMap v. 5.0 from Eurogeographics. Geographical extent covers the European Union 27, EFTA countries, Croatia, Serbia (including Kosovo UNSCR 1244) Greenland, Moldova and Ukraine. The scale of the data set is 1:100 000. The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
p102599
sbNNg8
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g10
NtRp102600
(dp102601
g13
Nsg14
Nsg15
VFALSE
p102602
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g10
NtRp102603
(dp102604
g13
Nsg14
Nsg15
VFALSE
p102605
sbNNg8
(g9
g10
NtRp102606
(dp102607
g13
Nsg14
Nsg15
VFALSE
p102608
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g10
NtRp102609
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g13
Nsg14
Nsg15
VFALSE
p102611
sbNg8
(g9
g10
NtRp102612
(dp102613
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b4d44141-e5c0-4e23-b11e-d64c5087c413.png
p102614
sbNg8
(g9
g10
NtRp102615
(dp102616
g13
Nsg14
Nsg15
V2019-06-04
p102617
sbNNg8
(g9
g10
NtRp102618
(dp102619
g13
Nsg14
Nsg15
Vadministrative boundary
p102620
sbg8
(g9
g10
NtRp102621
(dp102622
g13
Nsg14
Nsg15
Vvector
p102623
sbg8
(g9
g10
NtRp102624
(dp102625
g13
Nsg14
Nsg15
VFGeo
p102626
sbNg8
(g9
g10
NtRp102627
(dp102628
g13
Nsg14
Nsg15
V1:60000000
p102629
sbNg8
(g9
g10
NtRp102630
(dp102631
g13
Nsg14
Nsg15
VThe dataset is based on the geometry from EuroBoundary Map v5.0 (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COMM_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c
p102632
sbg8
(g9
g10
NtRp102633
(dp102634
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b4d44141-e5c0-4e23-b11e-d64c5087c413
p102635
sbg8
(g9
g10
NtRp102636
(dp102637
g13
Nsg14
g74
sg15
V2010
p102638
sbg8
(g9
g10
NtRp102639
(dp102640
g13
Nsg14
g74
sg15
V2010
p102641
sbg8
(g9
g10
NtRp102642
(dp102643
g13
Nsg14
Nsg15
VFALSE
p102644
sbg8
(g9
g10
NtRp102645
(dp102646
g13
Nsg14
Nsg15
VAdministrative units
p102647
sbg8
(g9
g10
NtRp102648
(dp102649
g13
Nsg14
Nsg15
VThis data set should be referred to as "Communes, 2010 - European Commission, Eurostat/GISCO". An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used
p102650
sbg8
(g9
g10
NtRp102651
(dp102652
g13
Nsg14
Nsg15
VFALSE
p102653
sbg8
(g9
g10
NtRp102654
(dp102655
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p102656
sbg8
(g9
g10
NtRp102657
(dp102658
g13
Nsg14
Nsg15
VFALSE
p102659
sbNNNNNNNg8
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sbg8
(g9
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NtRp102662
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Nsg14
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V
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NtRp102664
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Nsg14
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Veurostat_v_4258_x_x_gisco-communes_2010
p102666
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p102670
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Nsg14
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VEuroGlobalMap (individual countries) - version 10.0, Sep. 2017
p102673
sbNNNNNg8
(g9
g10
NtRp102674
(dp102675
g13
Nsg14
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VEuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands,  Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. \u000aThematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. \u000aThis metadata refers to the version 10 of EGM of individual countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip).\u000aThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics for the full product is provided together with the dataset ("EGM_v10_Metadata.xsl" within the "METADATA.zip").
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p102682
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VFALSE
p102685
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Nsg14
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VFALSE
p102688
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78.png
p102691
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V2019-06-04
p102694
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Vadministrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway
p102697
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Vvector
p102700
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VPGeo|SHP
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V1:1000000
p102706
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VSee EGM_Lineage_v10.pdf under "METADATA.zip" provided with the dataset.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78
p102712
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VFALSE
p102715
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VAdministrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican
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VSmall scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.
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p102724
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p102727
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V
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V
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Veurogeographics_v_4258_1_mio_egm-countries_1998-2016_rev10-0
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VEuroGlobalMap (full European coverage) - version 10.0, Sep. 2017
p102741
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VEuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands,  Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. \u000aThematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. \u000aThis metadata refers to the version 10 of EGM of full Europe. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip).\u000aThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("EGM_v10_Metadata.xsl" within the "METADATA.zip")
p102744
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Vadministrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway
p102765
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Vvector
p102768
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VPGeo|SHP
p102771
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V1:1000000
p102774
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VSee EGM_Lineage_v10.pdf under "METADATA.zip" provided with the dataset.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27812b75-404e-476e-8a21-07df0122d764
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p102783
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VAdministrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican
p102786
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VSmall scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.
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p102792
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p102795
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V
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V
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Veurogeographics_v_4258_1_mio_egm-europe_1998-2016_rev10-0
p102802
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Ve7ee273e-70b6-4bdc-8090-0ea2adaa7277
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VOSPAR marine protected areas, Oct. 2013
p102809
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VThis dataset represents the Network of Marine Protected Areas within OSPAR (Convention for the Protection of the marine Environment of the North-East Atlantic). MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. \u000a------\u000aAbstract derived from the abstract provided together with the dataset.
p102812
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NtRp102813
(dp102814
g13
Nsg14
Nsg15
VFALSE
p102815
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VFALSE
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VFALSE
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e7ee273e-70b6-4bdc-8090-0ea2adaa7277.png
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Nsg15
VEPSG:3035
p102830
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V2019-06-04
p102833
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g13
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Vnatural area
p102836
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Vvector
p102839
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VSHP
p102842
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Nsg14
Nsg15
V1:100000
p102845
sbNg8
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NtRp102846
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VLineage provided with the dataset.\u000a------------\u000aOne of the tools that can be used to ensure the sustainable use and protection and conservation of marine biological diversity and its ecosystems is the implementation of Marine Protected Areas (MPAs). Within OSPAR, MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. The aims of the OSPAR network of MPAs are: * to protect, conserve and restore species, habitats and ecological processes which have been adversely affected by human activities; * to prevent degradation of, and damage to, species, habitats and ecological processes, following the precautionary principle; * to protect and conserve areas that best represent the range of species, habitats and ecological processes in the maritime area. Fuller details of the sites that Contracting Parties have reported to OSPAR are held in the OSPAR MPA database (http://www.ospar.org/html_documents/ospar/html/ospar_mpa-db_populated_2009-06-01.zip). Reporting of MPAs: MPAs selected by Contracting Parties as components of the OSPAR network can be reported using the OSPAR nomination database (Latest version: July 2008). Completed versions of the database should be sent to the OSPAR Secretariat and to the lead country, Germany (Mr Tim Packeiser - tim.packeiser@bfn-vilm.de). Contracting Parties should also complete the implementation reporting format for Recommendation 2003/3 when they submit reports of selected MPAs or develop management plans or management measures for sites within the network. It is recommended that any proposals for MPAs in areas outside national jurisdiction should be submitted in the first instance in paper format using the following nomination proforma. All Areas are calculated in "Europe Albers Equal Area Conic"-Projection
p102848
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e7ee273e-70b6-4bdc-8090-0ea2adaa7277
p102851
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VFALSE
p102854
sbg8
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g10
NtRp102855
(dp102856
g13
Nsg14
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VProtected sites|Northeast Atlantic Ocean (40W)
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VTerms and conditions\u000aIf you have any queries, please contact JNCC Data Services, Joint Nature Conservation Committee, Monkstone House, Peterborough PE1 1JY, dave.chambers@jncc.gov.uk or telephone +44 (0)1733 - 866 882.\u000a \u000a1. Licence\u000aWe grant you a non-exclusive non-transferable licence to use, copy and adapt the data which is derived from Ordnance Survey data ('Data') in accordance with the terms of this licence agreement.\u000a \u000aYou may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain. You may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain.  This licence is applicable until 31 March 2009, after which it will terminate.\u000a\u000aWe do not guarantee that the digital data is free of minor errors not materially affecting performance.\u000aJNCC do not guarantee that the digital data will be suitable for use with any GIS or any other computer software.\u000aTitle, copyright and all other proprietary rights in the digital data remain vested in the following organisations known as the 'country agencies':\u000a \u000a 	English Nature - for all sites in England \u000a 	Scottish Natural Heritage - sites in Scotland \u000a 	Countryside Council for Wales - sites in Wales \u000a 	Environment and Heritage Service - sites in Northern Ireland. \u000a \u000aJNCC are acting on behalf of all of the above agencies to provide a single service for the whole of the UK (OS licence number 100017955).\u000a \u000aIntellectual property rights in the Data are owned by the Crown and the aforementioned agencies. You shall not have any rights or interests in the Data other than as described in this licence.\u000a \u000aYou must ensure that you protect and do not interfere with any trade names and trade marks that are in or accompany the Data.\u000a\u000aAll copies of the Data in whatever form must contain the following acknowledgement: \u000a\u000a"© Crown Copyright. All rights reserved [year document is published]".\u000a \u000aIf you print a map containing some of this digital data, the following statements should appear on the map in respect of SAC, SPA and Ramsar site boundary data for England, Scotland, Wales and Northern Ireland respectively:\u000a \u000a"© Crown copyright. All rights reserved. English Nature, 100017954 [year document is published]." \u000a"© Crown copyright. All rights reserved. Scottish Natural Heritage, 100017908 [year document is published]."\u000a"© Crown copyright. All rights reserved. Countryside Council for Wales, 100018813 [year document is published]."\u000a[© Hawlfraint y Goron. Cedwir pob hawl. Cyngor Cefn Gwlad Cymru, 100018813 (blwyddyn cyhoeddi'r ddogfen).]\u000a"© Crown copyright. All rights reserved. Environment and Heritage Service (Northern Ireland), [year document is published]."\u000a \u000aMaps containing any of these digital datasets may not be published in hard copy or the internet without prior written permission from JNCC representing the interests of the country agencies.\u000a \u000a2. Restrictions\u000aYou must not sub-licence, lend, transfer or otherwise dispose of the Data or this licence or modify, alter, decompile, reverse engineer, or disassemble the Data.\u000a \u000aFurthermore, we both agree that Ordnance Survey shall benefit from the Contracts (Rights of Third Parties) Act 1999 so that Ordnance Survey can enforce its rights directly against you.\u000a \u000a3. Promises\u000aYOU ACKNOWLEDGE THAT THE DATA HAS NOT BEEN PREPARED TO MEET YOUR INDIVIDUAL REQUIREMENTS AND THEREFORE IT IS PROVIDED TO YOU ON AN 'AS IS' BASIS. IT IS YOUR RESPONSIBILITY TO ENSURE THAT THE DATA IS FIT FOR YOUR INTENDED USE. TO THE FULLEST EXTENT PERMITTED BY LAW WE EXCLUDE ANY CONDITIONS OR TERMS THAT MAY BE IMPLIED BY LAW.\u000a \u000aWE SHALL NOT IN ANY EVENT BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL LOSSES OR FOR LOSS OF DATA, LOSS OF PROFITS, LOSS OF OR INTERRUPTION TO BUSINESS WHETHER ARISING IN TORT (INCLUDING NEGLIGENCE) CONTRACT OR OTHERWISE. WE DO NOT ATTEMPT TO EXCLUDE ANY LIABILITY THAT CANNOT BE EXCLUDED. EXCEPTING THE ABOVE, OUR TOTAL AND AGGREGATE LIABILITY TO YOU IN CONTRACT, TORT (INCLUDING NEGLIGENCE) OR OTHERWISE WILL NOT AT ANY TIME EXCEED AN AMOUNT EQUAL TO ANY PURCHASE PRICE OR LICENCE FEE PAID TO JNCC.\u000a \u000a4. Terminate\u000aWe may terminate this licence at any time if any of the following events arises:\u000a \u000a 	You breach any of the terms of this licence; \u000a 	You become insolvent or bankrupt or cease to do business. \u000a 	\u000aIn the event of termination of this licence, you shall cease to use the Data and if we request, you shall immediately return the Data or destroy them and provide to us an affidavit or sworn statement from one of your executives confirming the same.\u000a \u000a5. Law\u000aThis will be governed by and construed in accordance with English law and both parties accept the exclusive jurisdiction of the English courts. If any part of this licence is held to be invalid, unenforceable, or illegal, we both agree that the remainder of the licence will stand.
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Vospar_v_3035_100_k_mpa_2005-2013
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VRevised Soil Sealing 2006 - Jan. 2013
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VCloud cover indicator files (deviation files) generated during the GMES Fast Track Service Precursor on Land Monitoring project of 2007 were converted to raster files with 20m resolution covering the whole area either a country or the appropriate part of it if the country is split into parts due to file size or projection reasons. These rasterised cloud cover indicator files were used as input for the further processing.\u000aImperviousness Degree 2009 datasets were then used to generate cross-calibrated sealing degree datasets out of the bi-temporal Image2006 working units under consideration of the Corrected built-up layer 2006.\u000aThe results were used to generate mosaics containing the sealing degrees as well as other outputs usable for e.g. change detection within future projects.\u000aThe mosaiced results were then put to final nomenclature indicating degree of sealing ranging from 0% to 100%. Adaptations-files were calculated that indicate the corrections made by the process concerning built-up areas towards the Enhanced Sealing Degrees 2006 datasets. The term \u201cadaptations\u201d was used intentionally to outline that this files contains corrections of errors only and no actual changes in between a certain time span.\u000aThe whole process was implemented using built-in and self-defined semi-automated procedures within the tool ERDAS Imagine 10.2. The rasterisation of the deviation files was implemented within ArcGIS 9.3.
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/486186a6-846a-412c-8641-5e07fc777289.png
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VIn March 2013, the latest version of the dataset was downloaded from the HELCOM website by ISPRA (Rome, Italy), to be used in the frame of the Spatial analysis of Marine Protected Area Networks in Europe´s seas project, coordinated by the European Environment Agency (EEA) in 2013-2014. The metadata were provided by HELCOM in January 2014, after a request of information. HELCOM published an updated version in July 2013.
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VProtected sites
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VDataset from HELCOM Convention.
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VNatural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales (1:10m version is stored in the EEA-SDI). Featuring tightly integrated vector and raster data, with Natural Earth one can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society), and is free for use in any type of project.\u000aThis dataset is composed of satellite-derived land cover data and shaded relief presented with a light, natural palette suitable for making thematic and reference maps.
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VExtracted from http://www.shadedrelief.com/natural/pages/indepth.html\u000a				  Part 2: Data sources\u000a\u000a\u000aa) Landcover - Natural Earth landcover derives primarily from Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF), a 500-meter resolution product of the University Maryland, Global Land Cover Facility. NASA's Terra satellite collects the raw data from which MODIS VCF derives.\u000a\u000aMODIS VCF is comprised of three data channels, forest, herbaceous, and bare. Assigning flat colors (dark green for forest, light green for herbaceous, and gray for bare) to these channels, which blend into one another, creates an image of Earth that appears natural. To give the bare channel more visual interest (i.e. tonal modulation), a lightened and recolorized version of NASA's Blue Marble image substitutes for flat gray in desert and highland areas, which appear reddish-brown and gray-blue respectively.\u000a\u000aFor a full discussion of natural-color mapping techniques refer to this article [http://www.shadedrelief.com/shelton/].\u000a\u000aOther data used in Natural Earth include:\u000a\u000ab) Shaded relief - Downsampled SRTM30 with void-filling enhancements by Natural Graphics, except for Antarctica which derives from GTOPO30.\u000a\u000ac) Bathymetry - ETOPO2 obtained from NOAA's National Geophysical Data Center website. Note: only the downsampled (10,800 x 5,400) version of Natural Earth uses bathymetry.\u000a\u000ad) Glaciers and Antarctic ice shelves - Digital Chart of the World (DCW) 1:1,000,000-scale vector data originally developed by the US National Geospatial Agency (formerly DMA and, more recently, NIMA). Antarctic ice tones derive from Blue Marble. Greenland ice tones are blue-tinted shaded relief.\u000a\u000ae) Arctic pack ice - Digitized from the CIA's Polar Regions Atlas, 1978, page 12. The stylized ice boundary depicts estimated absolute minimum sea ice extent, a theoretical concept rather than an observable geographic location. Use the pack ice overlay only for small-scale and generalized map presentations.\u000a\u000af) Seas, lakes, and rivers - Extracted from MODIS VCF. The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and many mid-ocean islands are not included in the dataset. The water boundary accompanying GTOPO30 elevation data substitutes in the areas not covered by MODIS VCF.\u000a\u000ag) International boundaries - ESRI Shapefile provided by the Office of the Geographer, US Department of State. Boundary representation is not necessarily authoritative.\u000a\u000ah) AVHRR urban - Extracted from 1-kilometer resolution Global Land Cover Characteristics Data Base Version 2.0 distributed by the USGS.\u000a\u000ai) MODIS urban - Extracted from 1-kilometer resolution Binary MOD12Q1 data (a MODIS-based product) obtained from Boston University, Department of Geography.\u000a\u000a\u000a+++++++++++++++++++++++++++++++	\u000a		\u000a	\u000a\u000aPart 3: Data issues\u000a\u000a\u000aOf the nearly 525 million pixels that comprise Natural Earth, not all are perfect. Although created from satellite data, Natural Earth is a derivative graphical product that includes manual touchups. Use it accordingly.\u000a\u000aThe following are potential areas of concern for users.\u000a\u000aa) Incomplete MODIS VCF landcover coverage - The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and numerous ocean islands including Hawaii, Vanua Levu (Fiji), and the Shetland and Faroe Islands are missing from the data set.\u000a\u000ab) Filling the voids in MODIS VCF landcover involved several methods. Polar areas where little vegetation grows were the easiest to manage. Working backward from water and glacier coverages obtained from other sources, all unglaciated terrestrial areas received a bare classification and gray coloration. For eastern Iceland, where measurable vegetation exists, Binary MOD12Q1 landcover substituted for the missing MODIS VCF to show the herbaceous tundra as a pale green tint.\u000a\u000ac) Coloring small oceanic islands (most are only a few pixels wide) involved cloning landcover colors from nearby land areas with similar climate and vegetation characteristics. Manual painting in Photoshop using printed vegetation maps as a guide further enhanced the larger Hawaiian Islands.\u000a\u000ad) Discolored pixels - Pixels with unexpected colors (typically red-brown and gray) fringe some ocean shorelines and interior water bodies that fluctuate in size, a by-product of merging MODIS VCF and Blue Marble datasets. Filtering and manual cloning with the Clone Tool (rubber stamp) in Photoshop eliminated most of the discoloration.\u000a\u000ae) Snow removal - Another unwanted by-product of merged MODIS VCF and Blue Marble data was the appearance of patchy snow in the southern Andes and adjacent Patagonia between 35 and 45 degrees south latitude. Natural Earth depicts glaciers but not temporary snow cover. Sampling landcover colors from adjacent areas free of snow and painting in Photoshop removed the snow. The dramatic shaded relief of the Andes largely obscures this fix.\u000a\u000af) Ghosted shaded relief - The Blue Marble image contains embedded shaded relief. In desert and highland areas on Natural Earth, a faint impression of the shaded relief is visible where recolorized and lightened Blue Marble contributes to the landcover.\u000a\u000ag) Polar areas - Reflecting the accuracy of the global datasets from which it derives, the resolution and general quality of data in polar regions on Natural Earth is less than that of other areas of the world.\u000a\u000ah) Water - Only the largest rivers appear on the water layer provided with Natural Earth, discontinuously. The Aral Sea, Lake Chad, and Great Salt Lake look too large.
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VSome general statements about data creation for Natural Earth are available at http://www.naturalearthdata.com/about/data-creation/ and specific information per theme is available from http://www.naturalearthdata.com/downloads/10m-cultural-vectors/ and http://www.naturalearthdata.com/downloads/10m-physical-vectors/ by clicking on the "About | Issues | Version History »" button available for every dataset.
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VWhen using this data set, it should be bibliographically referred to as 'Urban Audit, 2004'. The Urban Audit (UA) provides European urban statistics for a representative sample of large and medium-sized cities across 30 European countries. It enables an assessment of the state of individual EU cities and provides access to comparative information from other EU cities. This spatial dataset will support the study and dissemination of the UA data. It allows the visualisation of participating cities at three conceptual levels: - UA City - the core city, using an administrative definition - UA City Kernel - a concept introduced to improve comparability between large cities - Larger Urban Zone (LUZ) - approximating the functional urban region In addition, this spatial dataset allows visualisation of a 285 participating cities at two hierarchical sublevels to analyse the disparities within cities: - Sub City Districts level 1 (SCD L1) - Sub City Districts level 2 (SCD L2) The extent of this dataset is the EU-27 plus Croatia (HR), Norway (NO) and Switzerland (CH). The URAU_2004 dataset contains a polygonal feature class for UA Cities, UA City Kernels and Large Urban Zones, derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004). Polygonal feature classes for Sub City Districts are derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004) or spatial data supplied by URAU delegates which has been made coincident with UA City geometry. A generalised version of each feature class allows for visualisation at the scale of 1:3 Million. UA Cities are also represented by a point topology that are derived from and synchronised with the GISCO STTL_V3 dataset of European Settlements. The UA city points are, when possible, synchronised to an Urban Fabric class in Corine Land Cover 2000.
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VThe third Urban Audit exercise was launched in 2006. The collected data is referenced to 2004. It is managed by the Directorate General for Regional Policy in collaboration with EUROSTAT. The URAU_2004 polygonal geometry for UA Cities, UA City Kernels and Large Urban Zones was derived from the GISCO Communes 2004 regional feature class. Information assigning membership of each EBM 2004 commune to each of the 3 UA conceptual levels was provided at the Country level. The URAU_2004 polygonal geometry for Sub City Districts was either derived from the GISCO Communes 2004 regional feature class (where information assigning membership of each EBM 2004 commune to hierarchical sublevels levels was provided at the Country level), or derived from geometry supplied by URAU delegates which was made coincident with UA City geometry. Generalised versions were created for display at a scale of 1:3 Million. The point geometry of the Urban Audit Cities was based on the GISCO STTL_V3 dataset of European Settlements. Points were created in 17 cases where a UA City could not be matched to a Settlement in GISCO STTL_V3 dataset.\u000a\u000aCreation of City, Kernel and LUZ feature classes: Country files listing UA status (City, Kernel and LUZ codes) of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each UA code to give the multipart regions for each UA level. Attributes were appended to each feature class by joining pre-prepared attribute tables. Creation of UA SCD2 feature classes based on communes 2004 geometry: For countries IE, MT and PT, country files listing the SCD L2 status of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each SCD L2 code to give multipart regions. Further subdivision of SCD L2 regions in the country of PT were made based on URAU_2001 geometry. Creation of UA SCD2 feature classes based on provided digital maps: For the remaining UA Cities for which SCD geometry is available, SCD L2 regions were derived from GIS files supplied by URAU delegates in various projections, coordinate systems and GIS formats. The SCD L2 regions were converted, projected and had geographic transformations applied where necessary. Some SCD L2 geometry had small manual shifts applied where the exact geographic transformation could not be defined. In the country RO, the outer SCD2 regions are not coincident with GISCO COMM_2004, and were fitted using aerial imagery. The outer SCD L2 boundaries were made coincident with UA City geometry. In the country BE, some internal boundaries were also made coincident with GISCO COMM_2004 geometry. Creation of UA SCD1: SCD attributes were appended to the SCD L2 feature class by joining pre-prepared attribute tables. SCD L1 geometry was created by dissolving SCD L2 boundaries using attributes in the supplied tables. Generalisation of polygonal feature classes to 1:3 million scale: The five polygonal feature classes were generalised for display at a scale of 1:3 Million. The geometries were combined prior to generalisation using a Union, so that boundaries shared between feature classes would also share the same simplified form. Polygons below 2.25km2 were eliminated by merging into the neighbouring polygon sharing the longest border, or deleted (for small islands). At least one feature was retained for each unique City, SCD L1, SCD L2, Kernel and LUZ. The simplification used the Bend Simplify option of the Simplify Polygon tool in ArcGIS 9.3, with a reference baseline of 1500m. Synchronisation of city points with STTL_V3: UA City points were derived by matching City regions to the GISCO Settlement Version 3 dataset (STTL_V3) based on proximity and name-matches. All except 17 UA Cities were matched, and STTL_V3 codes were retained as a UA City attribute. In several cases the STTL_V3 and UA City points were located outside the UA City regions (original or generalised). They were moved so that the point falls inside the RG, while still respecting the requirements for STTL_V3 points. Attribution of COMM_2004: The Urban Audit status of each commune was recorded by appending the City, Kernel and LUZ codes to the COMM_2004_AT attribute table.
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VArea management/restriction/regulation zones and reporting units
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VOffshore Wind Farm locations and attribute data.\u000aList of main attributes provided in the spatial dataset:\u000a + WindfarmId (ID of the windfarm)\u000a + Name_1 (Name of the windfarm)\u000a + OtherNames (Other name of the windfarm)\u000a + CountryNam (Country where the windfarm is set)\u000a + Comments (Comments)\u000a + WindfarmSt (Windfarm Status or Project Status)\u000a + CapacityMW (Capacity of the windfarm)\u000a + NoTurbines (Number of turbines (probably those that are set in the windfarm))\u000a + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\u000a + Developers (Developer(s) of the windfarm)\u000a + Owners (Owner of the windfarm)\u000a + Operators (Operator of the windfarm)
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VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: \u2022 The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments \u2022 The contact person at Ecologic: Manuel Lago \u2022 The contact person at DHI: Andy Stock
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VTracking land cover changes using remotely sensed data contributes to evaluating the impact of human activities on the environment. The first GlobCover map successfully demonstrated the usefulness of MERIS time series for operational land cover observation. Jointly supported by theEuropean Space Agency and the European Environmental Agency, the GlobCorine project builds on the GlobCover findings and aims to make the full use of the MERIS time series for frequent land cover monitoring at the pan-European scale. Such an automated approach at 300 m will not identify landscape patterns as precisely as the Corine methodology, but it will significantly shorten the time response and expand the coverage. First, the automated GlobCover processing chain is adjusted towards a more land use oriented classification, compatible with the Corine typology. Second, an automated statistically-based algorithm is proposed to enable to monitor key land dynamics on a regular basis.
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VOffshore Wind Farm locations and attribute data.\u000aList of main attributes provided in the spatial dataset:\u000a + WindfarmId (ID of the windfarm)\u000a + Name_1 (Name of the windfarm)\u000a + OtherNames (Other name of the windfarm)\u000a + CountryNam (Country where the windfarm is set)\u000a + Comments (Comments)\u000a + WindfarmSt (Windfarm Status or Project Status)\u000a + CapacityMW (Capacity of the windfarm)\u000a + NoTurbines (Number of turbines (probably those that are set in the windfarm))\u000a + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\u000a + Developers (Developer(s) of the windfarm)\u000a + Owners (Owner of the windfarm)\u000a + Operators (Operator of the windfarm)
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VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:				  The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments				  The contact person at Ecologic: Manuel Lago				  The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros
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VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:				  The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments				  The contact person at Ecologic: Manuel Lago				  The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros
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VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:				  The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments				  The contact person at Ecologic: Manuel Lago				  The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros
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VAs a permanent service of Eurostat, GISCO: promotes and stimulates the use of GIS within the European Statistical System and the Commission; manages and disseminates the Geographical reference database of the Commission; acts as a reference centre concerning GIS; promotes geo-referencing of statistics and collaboration between national statistical institutes and mapping agencies; pursues and ensures standardisation and harmonisation in the exchange of Geographic Information; co-leads the INSPIRE initiative on the introduction of a European Spatial Data Infrastructure.\u000a\u000aWithin the framework of the GISCO project, an extensive geo-referenced database has been developed. One of the main topics of the GISCO mandate is to extend, maintain and update this database.\u000aList of data sets offered by GISCO per ISO 19115 topic category (short name in []):\u000a a) Farming: farm accountancy data network [FADN]\u000a b) Biota: Natural Vegetation [VEGT], Biogeographical Zones [BIOG], Biotopes [BIOT]\u000a c) Boundaries: Territorial Units for Statistics (NUTS + Statistical Regions) [NUTS], Communes [COMM], Subcommunes [SCOM], Administrative regions [ADRG], Countries [CNTR]\u000a d) Climatology / Meteorology / Atmosphere: Climate [CLIM]\u000a e) Economy: Fishing Areas [FISH]\u000a f) Elevation: Digital Elevation Model [DEM], Bathimetry [BATH]\u000a g) Environment: Land Quality [LNQU], Designated Areas [DSIG]\u000a h) Geo-scientific information: Soil Erosion Risk [SOER], Geology Geomorphology ErosionTrend [ERTR], Soil [SOIL], Sediments Discharges [SDDS], Coastal Erosion [COER]\u000a i) Imagery/Base maps/Earth cover: Land Cover [LCOV]\u000a j) Inland waters: Water Patterns [WTPT], Lakes [LAKE], Watersheds [WTSH]\u000a k) Locations: Geographical Grid [GGGR], LUCAS [LUCA], Settlements [STTL], Gazetteer [GAZZ]\u000a l) Oceans: Coastline boundaries [COAS], Sea Level rise [SELV]\u000a m) Planning/Cadastre: Inter Regional [IREG], Leader Zones [LEAD], Less Favoured Areas [LFAV], National Support [NTSU], Structural Funds Zones [STFU], Urban Audit [URAU]\u000a n) Society: Population [POPU], Degree of urbanisation [DGUR]\u000a o) Transportation: Airports [AIRP], Ferry links [FERR], Ports [PORT], Road infrastructure [ROAD], Railway infrastructure [RAIL]\u000a p) Utilities/Communication: Nuclear Power [NUPW], Energy Production [ENPR], Energy Transport [ENTR]\u000a\u000a Further details can be found in gisco_naming_conventions_20090831.pdf
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g10
NtRp103677
(dp103678
g13
Nsg14
Nsg15
VTRUE
p103679
sbg8
(g9
g10
NtRp103680
(dp103681
g13
Nsg14
Nsg15
VAdministrative units|Area management/restriction/regulation zones and reporting units|Hydrography|Land cover
p103682
sbg8
(g9
g10
NtRp103683
(dp103684
g13
Nsg14
Nsg15
VLicense
p103685
sbg8
(g9
g10
NtRp103686
(dp103687
g13
Nsg14
Nsg15
VFALSE
p103688
sbNg8
(g9
g10
NtRp103689
(dp103690
g13
Nsg14
Nsg15
VFALSE
p103691
sbNNNNNNNg8
(g9
g10
NtRp103692
(dp103693
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp103694
(dp103695
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp103696
(dp103697
g13
Nsg14
Nsg15
Veurostat_v_4326_x_x_gisco_20090113
p103698
sbNNtp103699
a(g8
(g9
g10
NtRp103700
(dp103701
g13
Nsg14
Nsg15
V9806e8e2-dc31-4ef9-9244-8c0ba457b6d8
p103702
sbNg8
(g9
g10
NtRp103703
(dp103704
g13
Nsg14
Nsg15
VLandScan Global Population Database 2012
p103705
sbNNNNNg8
(g9
g10
NtRp103706
(dp103707
g13
Nsg14
Nsg15
VLandScan Global Population Database 2012. Population counts at 30 arc second resolution.\u000a\u000aDetailed information are to be found in cover_letter_ls12.pdf.
p103708
sbNNg8
(g9
g10
NtRp103709
(dp103710
g13
Nsg14
Nsg15
VFALSE
p103711
sbNNNg8
(g9
g10
NtRp103712
(dp103713
g13
Nsg14
Nsg15
VFALSE
p103714
sbNNg8
(g9
g10
NtRp103715
(dp103716
g13
Nsg14
Nsg15
VFALSE
p103717
sbNNg8
(g9
g10
NtRp103718
(dp103719
g13
Nsg14
Nsg15
VFALSE
p103720
sbNg8
(g9
g10
NtRp103721
(dp103722
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8.png
p103723
sbg8
(g9
g10
NtRp103724
(dp103725
g13
Nsg14
Nsg15
VEPSG:4326
p103726
sbg8
(g9
g10
NtRp103727
(dp103728
g13
Nsg14
Nsg15
V2019-06-04
p103729
sbNNNg8
(g9
g10
NtRp103730
(dp103731
g13
Nsg14
Nsg15
Vgrid
p103732
sbg8
(g9
g10
NtRp103733
(dp103734
g13
Nsg14
Nsg15
VAIG
p103735
sbNg8
(g9
g10
NtRp103736
(dp103737
g13
Nsg14
Nsg15
V0.008333333333333333deg
p103738
sbNg8
(g9
g10
NtRp103739
(dp103740
g13
Nsg14
Nsg15
VDetailed information are to be found in cover_letter_ls12.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2012.htm.
p103741
sbg8
(g9
g10
NtRp103742
(dp103743
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8
p103744
sbg8
(g9
g10
NtRp103745
(dp103746
g13
Nsg14
g74
sg15
V2012
p103747
sbg8
(g9
g10
NtRp103748
(dp103749
g13
Nsg14
g74
sg15
V2012
p103750
sbg8
(g9
g10
NtRp103751
(dp103752
g13
Nsg14
Nsg15
VFALSE
p103753
sbg8
(g9
g10
NtRp103754
(dp103755
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p103756
sbg8
(g9
g10
NtRp103757
(dp103758
g13
Nsg14
Nsg15
VLicense. Terms and conditions of use are available in the file LandScan_Product_License_Agreement_EEA.pdf
p103759
sbg8
(g9
g10
NtRp103760
(dp103761
g13
Nsg14
Nsg15
VFALSE
p103762
sbNg8
(g9
g10
NtRp103763
(dp103764
g13
Nsg14
Nsg15
VFALSE
p103765
sbNNNNNNNg8
(g9
g10
NtRp103766
(dp103767
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp103768
(dp103769
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp103770
(dp103771
g13
Nsg14
Nsg15
Vornl_g_4326_30_arcsec_landscan_2012
p103772
sbNNtp103773
a(g8
(g9
g10
NtRp103774
(dp103775
g13
Nsg14
Nsg15
V659c2707-f35d-40ce-86cc-684c00dc91b1
p103776
sbNg8
(g9
g10
NtRp103777
(dp103778
g13
Nsg14
Nsg15
VLandScan Global Population Database 2009
p103779
sbNNNNNg8
(g9
g10
NtRp103780
(dp103781
g13
Nsg14
Nsg15
VLandScan Global Population Database 2009. Population counts at 30 arc second resolution.
p103782
sbNNg8
(g9
g10
NtRp103783
(dp103784
g13
Nsg14
Nsg15
VFALSE
p103785
sbNNNg8
(g9
g10
NtRp103786
(dp103787
g13
Nsg14
Nsg15
VFALSE
p103788
sbNNg8
(g9
g10
NtRp103789
(dp103790
g13
Nsg14
Nsg15
VFALSE
p103791
sbNNg8
(g9
g10
NtRp103792
(dp103793
g13
Nsg14
Nsg15
VFALSE
p103794
sbNg8
(g9
g10
NtRp103795
(dp103796
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/659c2707-f35d-40ce-86cc-684c00dc91b1.png
p103797
sbg8
(g9
g10
NtRp103798
(dp103799
g13
Nsg14
Nsg15
VEPSG:4326
p103800
sbg8
(g9
g10
NtRp103801
(dp103802
g13
Nsg14
Nsg15
V2019-06-04
p103803
sbNNNg8
(g9
g10
NtRp103804
(dp103805
g13
Nsg14
Nsg15
Vgrid
p103806
sbg8
(g9
g10
NtRp103807
(dp103808
g13
Nsg14
Nsg15
VAIG
p103809
sbNg8
(g9
g10
NtRp103810
(dp103811
g13
Nsg14
Nsg15
V0.008333333333333333deg
p103812
sbNg8
(g9
g10
NtRp103813
(dp103814
g13
Nsg14
Nsg15
Vn/a
p103815
sbg8
(g9
g10
NtRp103816
(dp103817
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/659c2707-f35d-40ce-86cc-684c00dc91b1
p103818
sbg8
(g9
g10
NtRp103819
(dp103820
g13
Nsg14
g74
sg15
V2009
p103821
sbg8
(g9
g10
NtRp103822
(dp103823
g13
Nsg14
g74
sg15
V2009
p103824
sbg8
(g9
g10
NtRp103825
(dp103826
g13
Nsg14
Nsg15
VFALSE
p103827
sbg8
(g9
g10
NtRp103828
(dp103829
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p103830
sbg8
(g9
g10
NtRp103831
(dp103832
g13
Nsg14
Nsg15
VLicense. Terms and conditions of use are available in the file landscan09_licensing.pdf
p103833
sbg8
(g9
g10
NtRp103834
(dp103835
g13
Nsg14
Nsg15
VFALSE
p103836
sbNg8
(g9
g10
NtRp103837
(dp103838
g13
Nsg14
Nsg15
VFALSE
p103839
sbNNNNNNNg8
(g9
g10
NtRp103840
(dp103841
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp103842
(dp103843
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp103844
(dp103845
g13
Nsg14
Nsg15
Vornl_g_4326_30_arcsec_landscan_2009
p103846
sbNNtp103847
a(g8
(g9
g10
NtRp103848
(dp103849
g13
Nsg14
Nsg15
V0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa
p103850
sbNg8
(g9
g10
NtRp103851
(dp103852
g13
Nsg14
Nsg15
VLandScan Global Population Database 2010
p103853
sbNNNNNg8
(g9
g10
NtRp103854
(dp103855
g13
Nsg14
Nsg15
VLandScan Global Population Database 2010. Population counts at 30 arc second resolution.
p103856
sbNNg8
(g9
g10
NtRp103857
(dp103858
g13
Nsg14
Nsg15
VFALSE
p103859
sbNNNg8
(g9
g10
NtRp103860
(dp103861
g13
Nsg14
Nsg15
VFALSE
p103862
sbNNg8
(g9
g10
NtRp103863
(dp103864
g13
Nsg14
Nsg15
VFALSE
p103865
sbNNg8
(g9
g10
NtRp103866
(dp103867
g13
Nsg14
Nsg15
VFALSE
p103868
sbNg8
(g9
g10
NtRp103869
(dp103870
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa.png
p103871
sbg8
(g9
g10
NtRp103872
(dp103873
g13
Nsg14
Nsg15
VEPSG:4326
p103874
sbg8
(g9
g10
NtRp103875
(dp103876
g13
Nsg14
Nsg15
V2019-06-04
p103877
sbNNNg8
(g9
g10
NtRp103878
(dp103879
g13
Nsg14
Nsg15
Vgrid
p103880
sbg8
(g9
g10
NtRp103881
(dp103882
g13
Nsg14
Nsg15
VAIG
p103883
sbNg8
(g9
g10
NtRp103884
(dp103885
g13
Nsg14
Nsg15
V0.008333333333333333deg
p103886
sbNg8
(g9
g10
NtRp103887
(dp103888
g13
Nsg14
Nsg15
Vn/a
p103889
sbg8
(g9
g10
NtRp103890
(dp103891
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa
p103892
sbg8
(g9
g10
NtRp103893
(dp103894
g13
Nsg14
g74
sg15
V2010
p103895
sbg8
(g9
g10
NtRp103896
(dp103897
g13
Nsg14
g74
sg15
V2010
p103898
sbg8
(g9
g10
NtRp103899
(dp103900
g13
Nsg14
Nsg15
VFALSE
p103901
sbg8
(g9
g10
NtRp103902
(dp103903
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p103904
sbg8
(g9
g10
NtRp103905
(dp103906
g13
Nsg14
Nsg15
VLicense. Terms and conditions of "OFFLINE" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.doc Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc
p103907
sbg8
(g9
g10
NtRp103908
(dp103909
g13
Nsg14
Nsg15
VFALSE
p103910
sbNg8
(g9
g10
NtRp103911
(dp103912
g13
Nsg14
Nsg15
VFALSE
p103913
sbNNNNNNNg8
(g9
g10
NtRp103914
(dp103915
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp103916
(dp103917
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp103918
(dp103919
g13
Nsg14
Nsg15
Vornl_g_4326_30_arcsec_landscan_2010
p103920
sbNNtp103921
a(g8
(g9
g10
NtRp103922
(dp103923
g13
Nsg14
Nsg15
Vee86deb3-5981-4373-a257-ddc28b2cf7a8
p103924
sbNg8
(g9
g10
NtRp103925
(dp103926
g13
Nsg14
Nsg15
VLandScan Global Population Database 2011
p103927
sbNNNNNg8
(g9
g10
NtRp103928
(dp103929
g13
Nsg14
Nsg15
VLandScan Global Population Database 2011. Population counts at 30 arc second resolution.\u000a\u000aDetailed information are to be found in cover_letter_ls11.pdf.
p103930
sbNNg8
(g9
g10
NtRp103931
(dp103932
g13
Nsg14
Nsg15
VFALSE
p103933
sbNNNg8
(g9
g10
NtRp103934
(dp103935
g13
Nsg14
Nsg15
VFALSE
p103936
sbNNg8
(g9
g10
NtRp103937
(dp103938
g13
Nsg14
Nsg15
VFALSE
p103939
sbNNg8
(g9
g10
NtRp103940
(dp103941
g13
Nsg14
Nsg15
VFALSE
p103942
sbNg8
(g9
g10
NtRp103943
(dp103944
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee86deb3-5981-4373-a257-ddc28b2cf7a8.png
p103945
sbg8
(g9
g10
NtRp103946
(dp103947
g13
Nsg14
Nsg15
VEPSG:4326
p103948
sbg8
(g9
g10
NtRp103949
(dp103950
g13
Nsg14
Nsg15
V2019-06-04
p103951
sbNNNg8
(g9
g10
NtRp103952
(dp103953
g13
Nsg14
Nsg15
Vgrid
p103954
sbg8
(g9
g10
NtRp103955
(dp103956
g13
Nsg14
Nsg15
VAIG
p103957
sbNg8
(g9
g10
NtRp103958
(dp103959
g13
Nsg14
Nsg15
V0.008333333333333333deg
p103960
sbNg8
(g9
g10
NtRp103961
(dp103962
g13
Nsg14
Nsg15
VDetailed information are to be found in cover_letter_ls11.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2011.htm.
p103963
sbg8
(g9
g10
NtRp103964
(dp103965
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee86deb3-5981-4373-a257-ddc28b2cf7a8
p103966
sbg8
(g9
g10
NtRp103967
(dp103968
g13
Nsg14
g74
sg15
V2010
p103969
sbg8
(g9
g10
NtRp103970
(dp103971
g13
Nsg14
g74
sg15
V2010
p103972
sbg8
(g9
g10
NtRp103973
(dp103974
g13
Nsg14
Nsg15
VFALSE
p103975
sbg8
(g9
g10
NtRp103976
(dp103977
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p103978
sbg8
(g9
g10
NtRp103979
(dp103980
g13
Nsg14
Nsg15
VLicense. Terms and conditions of "OFFLINE" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.pdf Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc
p103981
sbg8
(g9
g10
NtRp103982
(dp103983
g13
Nsg14
Nsg15
VFALSE
p103984
sbNg8
(g9
g10
NtRp103985
(dp103986
g13
Nsg14
Nsg15
VFALSE
p103987
sbNNNNNNNg8
(g9
g10
NtRp103988
(dp103989
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp103990
(dp103991
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp103992
(dp103993
g13
Nsg14
Nsg15
Vornl_g_4326_30_arcsec_landscan_2011
p103994
sbNNtp103995
a(g8
(g9
g10
NtRp103996
(dp103997
g13
Nsg14
Nsg15
V0f6f0a59-4938-40d8-9772-42fd787d5efa
p103998
sbNg8
(g9
g10
NtRp103999
(dp104000
g13
Nsg14
Nsg15
VOffshore wind farms, May 2014
p104001
sbNNNNNg8
(g9
g10
NtRp104002
(dp104003
g13
Nsg14
Nsg15
VOffshore Wind Farm locations and attribute data.\u000aList of main attributes provided in the spatial dataset:\u000a + WindfarmId (ID of the windfarm)\u000a + Name (Name of the windfarm)\u000a + Country (Country code)\u000a + Status (Status code)\u000a + WindfarmStatus (Windfarm Status or Project Status)\u000a + StatusComments (Comments on the Windfarm Status or Project Status)\u000a + CapacityMWMin (Capacity of the windfarm - Min)\u000a + CapacityMWMax (Capacity of the windfarm - Max)\u000a + NoTurbinesMin (Number of turbines - Min)\u000a + NoTurbinesMax (Number of turbines - Max)\u000a + Comments (Comments)\u000a + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min)\u000a + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max)\u000a + OtherNames (Other name of the windfarm)\u000a + CountryName (Country where the windfarm is set)\u000a + Lat (Geographic coordinate - centre latitude)\u000a + Lon (Geographic coordinate - centre longitude)\u000a + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.)\u000a + IsOnHold\u000a + Developers (Developer(s) of the windfarm)\u000a + Owners (Owner of the windfarm)\u000a + Operators (Operator of the windfarm)
p104004
sbNNg8
(g9
g10
NtRp104005
(dp104006
g13
Nsg14
Nsg15
VFALSE
p104007
sbNNNg8
(g9
g10
NtRp104008
(dp104009
g13
Nsg14
Nsg15
VFALSE
p104010
sbNNg8
(g9
g10
NtRp104011
(dp104012
g13
Nsg14
Nsg15
VFALSE
p104013
sbNNg8
(g9
g10
NtRp104014
(dp104015
g13
Nsg14
Nsg15
VFALSE
p104016
sbNg8
(g9
g10
NtRp104017
(dp104018
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f6f0a59-4938-40d8-9772-42fd787d5efa.jpg
p104019
sbg8
(g9
g10
NtRp104020
(dp104021
g13
Nsg14
Nsg15
VEPSG:4326
p104022
sbg8
(g9
g10
NtRp104023
(dp104024
g13
Nsg14
Nsg15
V2019-06-04
p104025
sbNNNg8
(g9
g10
NtRp104026
(dp104027
g13
Nsg14
Nsg15
Vvector
p104028
sbg8
(g9
g10
NtRp104029
(dp104030
g13
Nsg14
Nsg15
VFGeo
p104031
sbNg8
(g9
g10
NtRp104032
(dp104033
g13
Nsg14
Nsg15
V1:1000000
p104034
sbNg8
(g9
g10
NtRp104035
(dp104036
g13
Nsg14
Nsg15
VDifferent sources are used e.g. news reports, press releases, communications with companies.
p104037
sbg8
(g9
g10
NtRp104038
(dp104039
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f6f0a59-4938-40d8-9772-42fd787d5efa
p104040
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V2014
p104043
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g74
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V2014
p104046
sbg8
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Nsg15
VFALSE
p104049
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NtRp104050
(dp104051
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Nsg14
Nsg15
VEnergy resources
p104052
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NtRp104053
(dp104054
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Nsg14
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VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:				  The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments				  The contact person at Ecologic: Manuel Lago				  The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros
p104055
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VFALSE
p104058
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VFALSE
p104061
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V
sbg8
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NtRp104064
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V
sbNNg8
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g10
NtRp104066
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V4coffshore_v_4326_1_mio_windfarms_201405
p104068
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V9d342efd-09da-4dbe-baa0-61cc54e1f598
p104072
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VOffshore wind farms, Jan. 2012
p104075
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NtRp104076
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VOffshore Wind Farm locations and attribute data.\u000aList of main attributes provided in the spatial dataset:\u000a + WindfarmId (ID of the windfarm)\u000a + Name_1 (Name of the windfarm)\u000a + OtherNames (Other name of the windfarm)\u000a + CountryNam (Country where the windfarm is set)\u000a + Comments (Comments)\u000a + WindfarmSt (Windfarm Status or Project Status)\u000a + CapacityMW (Capacity of the windfarm)\u000a + NoTurbines (Number of turbines (probably those that are set in the windfarm))\u000a + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\u000a + Developers (Developer(s) of the windfarm)\u000a + Owners (Owner of the windfarm)\u000a + Operators (Operator of the windfarm)
p104078
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NtRp104079
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VFALSE
p104081
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VFALSE
p104084
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VFALSE
p104087
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VFALSE
p104090
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9d342efd-09da-4dbe-baa0-61cc54e1f598.jpg
p104093
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(g9
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NtRp104094
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VEPSG:4326
p104096
sbg8
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g10
NtRp104097
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Nsg14
Nsg15
V2019-06-04
p104099
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NtRp104100
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Vvector
p104102
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NtRp104103
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VSHP
p104105
sbNg8
(g9
g10
NtRp104106
(dp104107
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V1:1000000
p104108
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VDifferent sources are used e.g. news reports, press releases, communications with companies.
p104111
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Nsg14
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d342efd-09da-4dbe-baa0-61cc54e1f598
p104114
sbg8
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g10
NtRp104115
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g13
Nsg14
g74
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V2011
p104117
sbg8
(g9
g10
NtRp104118
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g74
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V2011
p104120
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NtRp104121
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Nsg14
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VFALSE
p104123
sbg8
(g9
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NtRp104124
(dp104125
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Nsg14
Nsg15
VEnergy resources
p104126
sbg8
(g9
g10
NtRp104127
(dp104128
g13
Nsg14
Nsg15
VLicense terms:1.	The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.	General terms and conditions: a.	The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.	SELLER and its suppliers shall retain title and all ownership rights of the Product.3.	Specific EEA conditions:  a.	The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: \u2022 The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments \u2022 The contact person at Ecologic: Manuel Lago \u2022 The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros
p104129
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(g9
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NtRp104130
(dp104131
g13
Nsg14
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VFALSE
p104132
sbNg8
(g9
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NtRp104133
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VFALSE
p104135
sbNNNNNNNg8
(g9
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NtRp104136
(dp104137
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V
sbg8
(g9
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NtRp104138
(dp104139
g13
Nsg14
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V
sbNNg8
(g9
g10
NtRp104140
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g13
Nsg14
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V4coffshore_v_4326_1_mio_windfarms_2012
p104142
sbNNtp104143
a(g8
(g9
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NtRp104144
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V123d0c9a-a6fa-4f2d-b887-5d8e5468faed
p104146
sbNg8
(g9
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NtRp104147
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g13
Nsg14
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VEUNIS habitat classification (revised) SERIES - version 1, May 2019
p104149
sbNNNNNg8
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NtRp104150
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g13
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VThe EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat from natural to artificial, from terrestrial to freshwater and marine.\u000a\u000aAn extensive review of the EUNIS habitat classification was initiated in 2012 based on European vegetation plot data. The first groups of the classification to be revised were forest and other wooded land, heathland, scrub, tundra and grasslands. The review concerns codes, scientific names and descriptions. A new element of the revised classification is that indicator species are identified for level 3 habitat types. The revision of the groups were concluded after a consultation with EIONET and vegetation experts. The review is on-going and more groups will become available.\u000a\u000aThe data coverage is EEA39.
p104152
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VFALSE
p104155
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NtRp104156
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Nsg14
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VFALSE
p104158
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(g9
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NtRp104159
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VFALSE
p104161
sbNNg8
(g9
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NtRp104162
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VFALSE
p104164
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NtRp104165
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/123d0c9a-a6fa-4f2d-b887-5d8e5468faed.png
p104167
sbNg8
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g10
NtRp104168
(dp104169
g13
Nsg14
Nsg15
V2019-06-04
p104170
sbNg8
(g9
g10
NtRp104171
(dp104172
g13
Nsg14
Nsg15
VHabitats and biotopes
p104173
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g10
NtRp104174
(dp104175
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Nsg14
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Vforest|grassland|habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra
p104176
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g10
NtRp104177
(dp104178
g13
Nsg14
Nsg15
Vgrid
p104179
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g10
NtRp104180
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g13
Nsg14
Nsg15
VFGeo
p104182
sbNg8
(g9
g10
NtRp104183
(dp104184
g13
Nsg14
Nsg15
V1000m
p104185
sbNg8
(g9
g10
NtRp104186
(dp104187
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p104188
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NtRp104189
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/123d0c9a-a6fa-4f2d-b887-5d8e5468faed
p104191
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NtRp104192
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VFALSE
p104194
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NtRp104195
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VEEA39
p104197
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NtRp104198
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g13
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104200
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(g9
g10
NtRp104201
(dp104202
g13
Nsg14
Nsg15
VFALSE
p104203
sbg8
(g9
g10
NtRp104204
(dp104205
g13
Nsg14
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VEuropean Environment Agency
p104206
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NtRp104207
(dp104208
g13
Nsg14
Nsg15
VFALSE
p104209
sbNNNNNNNg8
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NtRp104210
(dp104211
g13
Nsg14
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V
sbg8
(g9
g10
NtRp104212
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g13
Nsg14
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V
sbNNg8
(g9
g10
NtRp104214
(dp104215
g13
Nsg14
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Veea_x_3035_xx_xxx_eunis-hab_p_1940-2017_series
p104216
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NtRp104218
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Vd6724082-0256-4c03-8791-cb664f72997e
p104220
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NtRp104221
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g13
Nsg14
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VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY
p104223
sbNNNNNg8
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NtRp104224
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VThis series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability.\u000aThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p104226
sbNNg8
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g10
NtRp104227
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VFALSE
p104229
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NtRp104230
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Nsg14
Nsg15
VFALSE
p104232
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NtRp104233
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Nsg14
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VFALSE
p104235
sbNNg8
(g9
g10
NtRp104236
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Nsg14
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VFALSE
p104238
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NtRp104239
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Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png
p104241
sbg8
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g10
NtRp104242
(dp104243
g13
Nsg14
Nsg15
VEPSG:3035
p104244
sbg8
(g9
g10
NtRp104245
(dp104246
g13
Nsg14
Nsg15
V2019-06-04
p104247
sbNg8
(g9
g10
NtRp104248
(dp104249
g13
Nsg14
Nsg15
VHabitats and biotopes
p104250
sbg8
(g9
g10
NtRp104251
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g13
Nsg14
Nsg15
Vgrassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem
p104253
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g10
NtRp104254
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Nsg14
Nsg15
Vgrid
p104256
sbg8
(g9
g10
NtRp104257
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Nsg15
VGTiff
p104259
sbNg8
(g9
g10
NtRp104260
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Nsg15
V1000m
p104262
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VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 3833\u000aRegularized training gain: 0.7296\u000aUnregularized training gain: 0.7715\u000aIterations: 500\u000aTraining AUC: 0.8144\u000a#Test samples: 425\u000aTest gain: 0.7372\u000aTest AUC: 0.8091\u000aAUC Standard Deviation: 0.0068\u000a#Background points: 13831\u000abio_12_etrs2_ras contribution: 7.2249\u000abio_15_etrs2_ras contribution: 1.3313\u000abio_18_etrs2_ras contribution: 5.0275\u000abio_4_etrs2_ras contribution: 57.2887\u000abio_8_etrs2_ras contribution: 0.1087\u000adist2water1km contribution: 0.099\u000apet_he_yr contribution: 25.3307\u000asoil_ph contribution: 0.2365\u000asolar_1km contribution: 3.3526\u000abio_12_etrs2_ras permutation importance: 6.7298\u000abio_15_etrs2_ras permutation importance: 2.9637\u000abio_18_etrs2_ras permutation importance: 3.5609\u000abio_4_etrs2_ras permutation importance: 60.7858\u000abio_8_etrs2_ras permutation importance: 0.5247\u000adist2water1km permutation importance: 0.5285\u000apet_he_yr permutation importance: 20.3984\u000asoil_ph permutation importance: 0.6564\u000asolar_1km permutation importance: 3.8518\u000aEntropy: 8.8058\u000aPrevalence (average of logistic output over background sites): 0.2375\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0703\u000aFixed cumulative value 1 area: 0.5494\u000aFixed cumulative value 1 training omission: 0.0055\u000aFixed cumulative value 1 test omission: 0.0118\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2449\u000aFixed cumulative value 5 area: 0.4424\u000aFixed cumulative value 5 training omission: 0.0324\u000aFixed cumulative value 5 test omission: 0.0447\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3549\u000aFixed cumulative value 10 area: 0.3875\u000aFixed cumulative value 10 training omission: 0.0788\u000aFixed cumulative value 10 test omission: 0.0776\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0905\u000aMinimum training presence logistic threshold: 0.0045\u000aMinimum training presence area: 0.7482\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0047\u000aMinimum training presence binomial probability: 4.13E-32\u000a10 percentile training presence cumulative threshold: 12.1187\u000a10 percentile training presence logistic threshold: 0.3765\u000a10 percentile training presence area: 0.3699\u000a10 percentile training presence training omission: 0.0999\u000a10 percentile training presence test omission: 0.0847\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 28.4686\u000aEqual training sensitivity and specificity logistic threshold: 0.4751\u000aEqual training sensitivity and specificity area: 0.2656\u000aEqual training sensitivity and specificity training omission: 0.2656\u000aEqual training sensitivity and specificity test omission: 0.2565\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.9074\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3398\u000aMaximum training sensitivity plus specificity area: 0.3974\u000aMaximum training sensitivity plus specificity training omission: 0.0663\u000aMaximum training sensitivity plus specificity test omission: 0.0706\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 28.8768\u000aEqual test sensitivity and specificity logistic threshold: 0.4768\u000aEqual test sensitivity and specificity area: 0.2635\u000aEqual test sensitivity and specificity training omission: 0.269\u000aEqual test sensitivity and specificity test omission: 0.2635\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 12.1714\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3772\u000aMaximum test sensitivity plus specificity area: 0.3695\u000aMaximum test sensitivity plus specificity training omission: 0.1002\u000aMaximum test sensitivity plus specificity test omission: 0.0847\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1058\u000aBalance training omission, predicted area and threshold value area: 0.5243\u000aBalance training omission, predicted area and threshold value training omission: 0.007\u000aBalance training omission, predicted area and threshold value test omission: 0.0118\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1671\u000aEquate entropy of thresholded and original distributions area: 0.4825\u000aEquate entropy of thresholded and original distributions training omission: 0.0162\u000aEquate entropy of thresholded and original distributions test omission: 0.0165\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p104265
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Nsg14
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6724082-0256-4c03-8791-cb664f72997e
p104268
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NtRp104269
(dp104270
g13
Nsg14
Nsg15
VFALSE
p104271
sbg8
(g9
g10
NtRp104272
(dp104273
g13
Nsg14
Nsg15
VAlbania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
p104274
sbg8
(g9
g10
NtRp104275
(dp104276
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104277
sbg8
(g9
g10
NtRp104278
(dp104279
g13
Nsg14
Nsg15
VFALSE
p104280
sbg8
(g9
g10
NtRp104281
(dp104282
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104283
sbg8
(g9
g10
NtRp104284
(dp104285
g13
Nsg14
Nsg15
VFALSE
p104286
sbNNNNNNNg8
(g9
g10
NtRp104287
(dp104288
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104289
(dp104290
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104291
(dp104292
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-e-series_p_1940-20xx_v01_r00
p104293
sbNNtp104294
a(g8
(g9
g10
NtRp104295
(dp104296
g13
Nsg14
Nsg15
V77603271-8502-4b4b-98ed-5bd188ef38d1
p104297
sbNg8
(g9
g10
NtRp104298
(dp104299
g13
Nsg14
Nsg15
VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, distribution based on vegetation plot data SERIES - version 1, MM. YYY
p104300
sbNNNNNg8
(g9
g10
NtRp104301
(dp104302
g13
Nsg14
Nsg15
VThis series references all EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types samples from vegetation plot data.\u000aThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p104303
sbNNg8
(g9
g10
NtRp104304
(dp104305
g13
Nsg14
Nsg15
VFALSE
p104306
sbNNNg8
(g9
g10
NtRp104307
(dp104308
g13
Nsg14
Nsg15
VFALSE
p104309
sbNNg8
(g9
g10
NtRp104310
(dp104311
g13
Nsg14
Nsg15
VFALSE
p104312
sbNNg8
(g9
g10
NtRp104313
(dp104314
g13
Nsg14
Nsg15
VFALSE
p104315
sbNg8
(g9
g10
NtRp104316
(dp104317
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png
p104318
sbg8
(g9
g10
NtRp104319
(dp104320
g13
Nsg14
Nsg15
VEPSG:3035
p104321
sbg8
(g9
g10
NtRp104322
(dp104323
g13
Nsg14
Nsg15
V2019-06-04
p104324
sbNg8
(g9
g10
NtRp104325
(dp104326
g13
Nsg14
Nsg15
VHabitats and biotopes
p104327
sbg8
(g9
g10
NtRp104328
(dp104329
g13
Nsg14
Nsg15
Vgrassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem
p104330
sbg8
(g9
g10
NtRp104331
(dp104332
g13
Nsg14
Nsg15
Vvector
p104333
sbg8
(g9
g10
NtRp104334
(dp104335
g13
Nsg14
Nsg15
VSHP
p104336
sbNg8
(g9
g10
NtRp104337
(dp104338
g13
Nsg14
Nsg15
V1:10000000
p104339
sbNg8
(g9
g10
NtRp104340
(dp104341
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p104342
sbg8
(g9
g10
NtRp104343
(dp104344
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/77603271-8502-4b4b-98ed-5bd188ef38d1
p104345
sbNNg8
(g9
g10
NtRp104346
(dp104347
g13
Nsg14
Nsg15
VFALSE
p104348
sbg8
(g9
g10
NtRp104349
(dp104350
g13
Nsg14
Nsg15
VAlbania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
p104351
sbg8
(g9
g10
NtRp104352
(dp104353
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104354
sbg8
(g9
g10
NtRp104355
(dp104356
g13
Nsg14
Nsg15
VFALSE
p104357
sbg8
(g9
g10
NtRp104358
(dp104359
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104360
sbg8
(g9
g10
NtRp104361
(dp104362
g13
Nsg14
Nsg15
VFALSE
p104363
sbNNNNNNNg8
(g9
g10
NtRp104364
(dp104365
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104366
(dp104367
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104368
(dp104369
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-e-series_p_1940-20xx_v01_r00
p104370
sbNNtp104371
a(g8
(g9
g10
NtRp104372
(dp104373
g13
Nsg14
Nsg15
V1c6c1e16-51fc-4dbc-aab8-9e8498dd8a3b
p104374
sbNg8
(g9
g10
NtRp104375
(dp104376
g13
Nsg14
Nsg15
VEUNIS forest and other wooded land habitat types, distribution based on vegetation plot data SERIES - version 1, MM. YYY
p104377
sbNNNNNg8
(g9
g10
NtRp104378
(dp104379
g13
Nsg14
Nsg15
VThis series references all EUNIS woodland, forest and other wooded land habitat types samples from vegetation plot data.\u000aThe verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.
p104380
sbNNg8
(g9
g10
NtRp104381
(dp104382
g13
Nsg14
Nsg15
VFALSE
p104383
sbNNNg8
(g9
g10
NtRp104384
(dp104385
g13
Nsg14
Nsg15
VFALSE
p104386
sbNNg8
(g9
g10
NtRp104387
(dp104388
g13
Nsg14
Nsg15
VFALSE
p104389
sbNNg8
(g9
g10
NtRp104390
(dp104391
g13
Nsg14
Nsg15
VFALSE
p104392
sbNg8
(g9
g10
NtRp104393
(dp104394
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png
p104395
sbg8
(g9
g10
NtRp104396
(dp104397
g13
Nsg14
Nsg15
VEPSG:3035
p104398
sbg8
(g9
g10
NtRp104399
(dp104400
g13
Nsg14
Nsg15
V2019-06-04
p104401
sbNg8
(g9
g10
NtRp104402
(dp104403
g13
Nsg14
Nsg15
VHabitats and biotopes
p104404
sbg8
(g9
g10
NtRp104405
(dp104406
g13
Nsg14
Nsg15
Vforest|habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra
p104407
sbg8
(g9
g10
NtRp104408
(dp104409
g13
Nsg14
Nsg15
Vvector
p104410
sbg8
(g9
g10
NtRp104411
(dp104412
g13
Nsg14
Nsg15
VSHP
p104413
sbNg8
(g9
g10
NtRp104414
(dp104415
g13
Nsg14
Nsg15
V1:10000000
p104416
sbNg8
(g9
g10
NtRp104417
(dp104418
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p104419
sbg8
(g9
g10
NtRp104420
(dp104421
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c6c1e16-51fc-4dbc-aab8-9e8498dd8a3b
p104422
sbNNg8
(g9
g10
NtRp104423
(dp104424
g13
Nsg14
Nsg15
VFALSE
p104425
sbg8
(g9
g10
NtRp104426
(dp104427
g13
Nsg14
Nsg15
VAlbania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
p104428
sbg8
(g9
g10
NtRp104429
(dp104430
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104431
sbg8
(g9
g10
NtRp104432
(dp104433
g13
Nsg14
Nsg15
VFALSE
p104434
sbg8
(g9
g10
NtRp104435
(dp104436
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104437
sbg8
(g9
g10
NtRp104438
(dp104439
g13
Nsg14
Nsg15
VFALSE
p104440
sbNNNNNNNg8
(g9
g10
NtRp104441
(dp104442
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104443
(dp104444
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104445
(dp104446
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-series_p_1940-20xx_v01_r00
p104447
sbNNtp104448
a(g8
(g9
g10
NtRp104449
(dp104450
g13
Nsg14
Nsg15
Vc6e945a9-a1d1-443b-849a-2335db2685bd
p104451
sbNg8
(g9
g10
NtRp104452
(dp104453
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitats, distribution based on vegetation plot data SERIES - version 1, MM. YYY
p104454
sbNNNNNg8
(g9
g10
NtRp104455
(dp104456
g13
Nsg14
Nsg15
VThis series references all heathland, scrub and tundra habitat types samples from vegetation plot data.
p104457
sbNNg8
(g9
g10
NtRp104458
(dp104459
g13
Nsg14
Nsg15
VFALSE
p104460
sbNNNg8
(g9
g10
NtRp104461
(dp104462
g13
Nsg14
Nsg15
VFALSE
p104463
sbNNg8
(g9
g10
NtRp104464
(dp104465
g13
Nsg14
Nsg15
VFALSE
p104466
sbNNg8
(g9
g10
NtRp104467
(dp104468
g13
Nsg14
Nsg15
VFALSE
p104469
sbNg8
(g9
g10
NtRp104470
(dp104471
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/XXX
p104472
sbg8
(g9
g10
NtRp104473
(dp104474
g13
Nsg14
Nsg15
VEPSG:3035
p104475
sbg8
(g9
g10
NtRp104476
(dp104477
g13
Nsg14
Nsg15
V2019-06-04
p104478
sbNg8
(g9
g10
NtRp104479
(dp104480
g13
Nsg14
Nsg15
VHabitats and biotopes
p104481
sbg8
(g9
g10
NtRp104482
(dp104483
g13
Nsg14
Nsg15
Vhabitat|heathland|modelling|natural area|terrestrial ecosystem|tundra
p104484
sbg8
(g9
g10
NtRp104485
(dp104486
g13
Nsg14
Nsg15
Vvector
p104487
sbg8
(g9
g10
NtRp104488
(dp104489
g13
Nsg14
Nsg15
VSHP
p104490
sbNg8
(g9
g10
NtRp104491
(dp104492
g13
Nsg14
Nsg15
V1:10000000
p104493
sbNg8
(g9
g10
NtRp104494
(dp104495
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).
p104496
sbg8
(g9
g10
NtRp104497
(dp104498
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6e945a9-a1d1-443b-849a-2335db2685bd
p104499
sbNNg8
(g9
g10
NtRp104500
(dp104501
g13
Nsg14
Nsg15
VFALSE
p104502
sbg8
(g9
g10
NtRp104503
(dp104504
g13
Nsg14
Nsg15
VAlbania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
p104505
sbg8
(g9
g10
NtRp104506
(dp104507
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104508
sbg8
(g9
g10
NtRp104509
(dp104510
g13
Nsg14
Nsg15
VFALSE
p104511
sbg8
(g9
g10
NtRp104512
(dp104513
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104514
sbg8
(g9
g10
NtRp104515
(dp104516
g13
Nsg14
Nsg15
VFALSE
p104517
sbNNNNNNNg8
(g9
g10
NtRp104518
(dp104519
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104520
(dp104521
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104522
(dp104523
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-s-series_p_1940-20xx_v01_r00
p104524
sbNNtp104525
a(g8
(g9
g10
NtRp104526
(dp104527
g13
Nsg14
Nsg15
Vc5343356-54f0-4c42-b7aa-d8b145054550
p104528
sbNg8
(g9
g10
NtRp104529
(dp104530
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY
p104531
sbNNNNNg8
(g9
g10
NtRp104532
(dp104533
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.
p104534
sbNNg8
(g9
g10
NtRp104535
(dp104536
g13
Nsg14
Nsg15
VFALSE
p104537
sbNNNg8
(g9
g10
NtRp104538
(dp104539
g13
Nsg14
Nsg15
VFALSE
p104540
sbNNg8
(g9
g10
NtRp104541
(dp104542
g13
Nsg14
Nsg15
VFALSE
p104543
sbNNg8
(g9
g10
NtRp104544
(dp104545
g13
Nsg14
Nsg15
VFALSE
p104546
sbNg8
(g9
g10
NtRp104547
(dp104548
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png
p104549
sbg8
(g9
g10
NtRp104550
(dp104551
g13
Nsg14
Nsg15
VEPSG:3035
p104552
sbg8
(g9
g10
NtRp104553
(dp104554
g13
Nsg14
Nsg15
V2019-06-04
p104555
sbNg8
(g9
g10
NtRp104556
(dp104557
g13
Nsg14
Nsg15
VHabitats and biotopes
p104558
sbg8
(g9
g10
NtRp104559
(dp104560
g13
Nsg14
Nsg15
Vhabitat|modelling|natural area|terrestrial ecosystem|tundra
p104561
sbg8
(g9
g10
NtRp104562
(dp104563
g13
Nsg14
Nsg15
Vgrid
p104564
sbg8
(g9
g10
NtRp104565
(dp104566
g13
Nsg14
Nsg15
VGTiff
p104567
sbNg8
(g9
g10
NtRp104568
(dp104569
g13
Nsg14
Nsg15
V1000m
p104570
sbNg8
(g9
g10
NtRp104571
(dp104572
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 3833\u000aRegularized training gain: 0.7296\u000aUnregularized training gain: 0.7715\u000aIterations: 500\u000aTraining AUC: 0.8144\u000a#Test samples: 425\u000aTest gain: 0.7372\u000aTest AUC: 0.8091\u000aAUC Standard Deviation: 0.0068\u000a#Background points: 13831\u000abio_12_etrs2_ras contribution: 7.2249\u000abio_15_etrs2_ras contribution: 1.3313\u000abio_18_etrs2_ras contribution: 5.0275\u000abio_4_etrs2_ras contribution: 57.2887\u000abio_8_etrs2_ras contribution: 0.1087\u000adist2water1km contribution: 0.099\u000apet_he_yr contribution: 25.3307\u000asoil_ph contribution: 0.2365\u000asolar_1km contribution: 3.3526\u000abio_12_etrs2_ras permutation importance: 6.7298\u000abio_15_etrs2_ras permutation importance: 2.9637\u000abio_18_etrs2_ras permutation importance: 3.5609\u000abio_4_etrs2_ras permutation importance: 60.7858\u000abio_8_etrs2_ras permutation importance: 0.5247\u000adist2water1km permutation importance: 0.5285\u000apet_he_yr permutation importance: 20.3984\u000asoil_ph permutation importance: 0.6564\u000asolar_1km permutation importance: 3.8518\u000aEntropy: 8.8058\u000aPrevalence (average of logistic output over background sites): 0.2375\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0703\u000aFixed cumulative value 1 area: 0.5494\u000aFixed cumulative value 1 training omission: 0.0055\u000aFixed cumulative value 1 test omission: 0.0118\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2449\u000aFixed cumulative value 5 area: 0.4424\u000aFixed cumulative value 5 training omission: 0.0324\u000aFixed cumulative value 5 test omission: 0.0447\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3549\u000aFixed cumulative value 10 area: 0.3875\u000aFixed cumulative value 10 training omission: 0.0788\u000aFixed cumulative value 10 test omission: 0.0776\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0905\u000aMinimum training presence logistic threshold: 0.0045\u000aMinimum training presence area: 0.7482\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0047\u000aMinimum training presence binomial probability: 4.13E-32\u000a10 percentile training presence cumulative threshold: 12.1187\u000a10 percentile training presence logistic threshold: 0.3765\u000a10 percentile training presence area: 0.3699\u000a10 percentile training presence training omission: 0.0999\u000a10 percentile training presence test omission: 0.0847\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 28.4686\u000aEqual training sensitivity and specificity logistic threshold: 0.4751\u000aEqual training sensitivity and specificity area: 0.2656\u000aEqual training sensitivity and specificity training omission: 0.2656\u000aEqual training sensitivity and specificity test omission: 0.2565\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.9074\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3398\u000aMaximum training sensitivity plus specificity area: 0.3974\u000aMaximum training sensitivity plus specificity training omission: 0.0663\u000aMaximum training sensitivity plus specificity test omission: 0.0706\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 28.8768\u000aEqual test sensitivity and specificity logistic threshold: 0.4768\u000aEqual test sensitivity and specificity area: 0.2635\u000aEqual test sensitivity and specificity training omission: 0.269\u000aEqual test sensitivity and specificity test omission: 0.2635\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 12.1714\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3772\u000aMaximum test sensitivity plus specificity area: 0.3695\u000aMaximum test sensitivity plus specificity training omission: 0.1002\u000aMaximum test sensitivity plus specificity test omission: 0.0847\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1058\u000aBalance training omission, predicted area and threshold value area: 0.5243\u000aBalance training omission, predicted area and threshold value training omission: 0.007\u000aBalance training omission, predicted area and threshold value test omission: 0.0118\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1671\u000aEquate entropy of thresholded and original distributions area: 0.4825\u000aEquate entropy of thresholded and original distributions training omission: 0.0162\u000aEquate entropy of thresholded and original distributions test omission: 0.0165\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p104573
sbg8
(g9
g10
NtRp104574
(dp104575
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5343356-54f0-4c42-b7aa-d8b145054550
p104576
sbNNg8
(g9
g10
NtRp104577
(dp104578
g13
Nsg14
Nsg15
VFALSE
p104579
sbg8
(g9
g10
NtRp104580
(dp104581
g13
Nsg14
Nsg15
VAlbania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
p104582
sbg8
(g9
g10
NtRp104583
(dp104584
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p104585
sbg8
(g9
g10
NtRp104586
(dp104587
g13
Nsg14
Nsg15
VFALSE
p104588
sbg8
(g9
g10
NtRp104589
(dp104590
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104591
sbg8
(g9
g10
NtRp104592
(dp104593
g13
Nsg14
Nsg15
VFALSE
p104594
sbNNNNNNNg8
(g9
g10
NtRp104595
(dp104596
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104597
(dp104598
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104599
(dp104600
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-s-series_p_1940-20xx_v01_r00
p104601
sbNNtp104602
a(g8
(g9
g10
NtRp104603
(dp104604
g13
Nsg14
Nsg15
V54ad1700-9a0a-48ff-a9b1-e91e13493118
p104605
sbNg8
(g9
g10
NtRp104606
(dp104607
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitats, modelled distribution of habitat probability (raster) - series
p104608
sbNNNNNg8
(g9
g10
NtRp104609
(dp104610
g13
Nsg14
Nsg15
VThis series references the modelled distribution of EUNIS heathland, scrub and tundra habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --
p104611
sbNNg8
(g9
g10
NtRp104612
(dp104613
g13
Nsg14
Nsg15
VFALSE
p104614
sbNNNg8
(g9
g10
NtRp104615
(dp104616
g13
Nsg14
Nsg15
VFALSE
p104617
sbNNg8
(g9
g10
NtRp104618
(dp104619
g13
Nsg14
Nsg15
VFALSE
p104620
sbNNg8
(g9
g10
NtRp104621
(dp104622
g13
Nsg14
Nsg15
VFALSE
p104623
sbNg8
(g9
g10
NtRp104624
(dp104625
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png
p104626
sbg8
(g9
g10
NtRp104627
(dp104628
g13
Nsg14
Nsg15
VEPSG:3035
p104629
sbg8
(g9
g10
NtRp104630
(dp104631
g13
Nsg14
Nsg15
V2019-06-04
p104632
sbNNg8
(g9
g10
NtRp104633
(dp104634
g13
Nsg14
Nsg15
Vforest|natural area|remote sensing|wood
p104635
sbg8
(g9
g10
NtRp104636
(dp104637
g13
Nsg14
Nsg15
Vgrid
p104638
sbg8
(g9
g10
NtRp104639
(dp104640
g13
Nsg14
Nsg15
VAAIGrid
p104641
sbNg8
(g9
g10
NtRp104642
(dp104643
g13
Nsg14
Nsg15
V1000m
p104644
sbNg8
(g9
g10
NtRp104645
(dp104646
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p104647
sbg8
(g9
g10
NtRp104648
(dp104649
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54ad1700-9a0a-48ff-a9b1-e91e13493118
p104650
sbNNg8
(g9
g10
NtRp104651
(dp104652
g13
Nsg14
Nsg15
VFALSE
p104653
sbg8
(g9
g10
NtRp104654
(dp104655
g13
Nsg14
Nsg15
VHabitats and biotopes
p104656
sbg8
(g9
g10
NtRp104657
(dp104658
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p104659
sbg8
(g9
g10
NtRp104660
(dp104661
g13
Nsg14
Nsg15
VFALSE
p104662
sbg8
(g9
g10
NtRp104663
(dp104664
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104665
sbg8
(g9
g10
NtRp104666
(dp104667
g13
Nsg14
Nsg15
VFALSE
p104668
sbNNNNNNNg8
(g9
g10
NtRp104669
(dp104670
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104671
(dp104672
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104673
(dp104674
g13
Nsg14
Nsg15
Veea_r_3035_20_m_eunis-hab-p_1940-2011_series
p104675
sbNNtp104676
a(g8
(g9
g10
NtRp104677
(dp104678
g13
Nsg14
Nsg15
V932aaeb4-ba71-4e56-b4bb-e1daac3710ac
p104679
sbNg8
(g9
g10
NtRp104680
(dp104681
g13
Nsg14
Nsg15
VEUNIS woodland, forest and other wooded land habitats, modelled distribution of habitat probability (raster) - series
p104682
sbNNNNNg8
(g9
g10
NtRp104683
(dp104684
g13
Nsg14
Nsg15
VThis series references the modelled distribution of EUNIS woodland, forest and other wooded land habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --
p104685
sbNNg8
(g9
g10
NtRp104686
(dp104687
g13
Nsg14
Nsg15
VFALSE
p104688
sbNNNg8
(g9
g10
NtRp104689
(dp104690
g13
Nsg14
Nsg15
VFALSE
p104691
sbNNg8
(g9
g10
NtRp104692
(dp104693
g13
Nsg14
Nsg15
VFALSE
p104694
sbNNg8
(g9
g10
NtRp104695
(dp104696
g13
Nsg14
Nsg15
VFALSE
p104697
sbNg8
(g9
g10
NtRp104698
(dp104699
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png
p104700
sbg8
(g9
g10
NtRp104701
(dp104702
g13
Nsg14
Nsg15
VEPSG:3035
p104703
sbg8
(g9
g10
NtRp104704
(dp104705
g13
Nsg14
Nsg15
V2019-06-04
p104706
sbNNg8
(g9
g10
NtRp104707
(dp104708
g13
Nsg14
Nsg15
Vforest|natural area|remote sensing|wood
p104709
sbg8
(g9
g10
NtRp104710
(dp104711
g13
Nsg14
Nsg15
Vgrid
p104712
sbg8
(g9
g10
NtRp104713
(dp104714
g13
Nsg14
Nsg15
VAAIGrid
p104715
sbNg8
(g9
g10
NtRp104716
(dp104717
g13
Nsg14
Nsg15
V1000m
p104718
sbNg8
(g9
g10
NtRp104719
(dp104720
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p104721
sbg8
(g9
g10
NtRp104722
(dp104723
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/932aaeb4-ba71-4e56-b4bb-e1daac3710ac
p104724
sbNNg8
(g9
g10
NtRp104725
(dp104726
g13
Nsg14
Nsg15
VFALSE
p104727
sbg8
(g9
g10
NtRp104728
(dp104729
g13
Nsg14
Nsg15
VHabitats and biotopes
p104730
sbg8
(g9
g10
NtRp104731
(dp104732
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p104733
sbg8
(g9
g10
NtRp104734
(dp104735
g13
Nsg14
Nsg15
VFALSE
p104736
sbg8
(g9
g10
NtRp104737
(dp104738
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104739
sbg8
(g9
g10
NtRp104740
(dp104741
g13
Nsg14
Nsg15
VFALSE
p104742
sbNNNNNNNg8
(g9
g10
NtRp104743
(dp104744
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104745
(dp104746
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104747
(dp104748
g13
Nsg14
Nsg15
Veea_r_3035_20_m_eunis-hab-p_1940-2011_series
p104749
sbNNtp104750
a(g8
(g9
g10
NtRp104751
(dp104752
g13
Nsg14
Nsg15
V796c2ce6-f44d-4588-8fd6-2681d99b97b6
p104753
sbNg8
(g9
g10
NtRp104754
(dp104755
g13
Nsg14
Nsg15
VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, Braun-Blanquet project plot data (vector) - series
p104756
sbNNNNNg8
(g9
g10
NtRp104757
(dp104758
g13
Nsg14
Nsg15
VThis series references all EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types samples from vegetation plot data.
p104759
sbNNg8
(g9
g10
NtRp104760
(dp104761
g13
Nsg14
Nsg15
VFALSE
p104762
sbNNNg8
(g9
g10
NtRp104763
(dp104764
g13
Nsg14
Nsg15
VFALSE
p104765
sbNNg8
(g9
g10
NtRp104766
(dp104767
g13
Nsg14
Nsg15
VFALSE
p104768
sbNNg8
(g9
g10
NtRp104769
(dp104770
g13
Nsg14
Nsg15
VFALSE
p104771
sbNg8
(g9
g10
NtRp104772
(dp104773
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png
p104774
sbg8
(g9
g10
NtRp104775
(dp104776
g13
Nsg14
Nsg15
VEPSG:3035
p104777
sbg8
(g9
g10
NtRp104778
(dp104779
g13
Nsg14
Nsg15
V2019-06-04
p104780
sbNNg8
(g9
g10
NtRp104781
(dp104782
g13
Nsg14
Nsg15
Vcoastal environment|natural area|terrestrial ecosystem
p104783
sbg8
(g9
g10
NtRp104784
(dp104785
g13
Nsg14
Nsg15
Vvector
p104786
sbg8
(g9
g10
NtRp104787
(dp104788
g13
Nsg14
Nsg15
VSHP
p104789
sbNg8
(g9
g10
NtRp104790
(dp104791
g13
Nsg14
Nsg15
V1:10000000
p104792
sbNg8
(g9
g10
NtRp104793
(dp104794
g13
Nsg14
Nsg15
VThe data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.
p104795
sbg8
(g9
g10
NtRp104796
(dp104797
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/796c2ce6-f44d-4588-8fd6-2681d99b97b6
p104798
sbNNg8
(g9
g10
NtRp104799
(dp104800
g13
Nsg14
Nsg15
VFALSE
p104801
sbg8
(g9
g10
NtRp104802
(dp104803
g13
Nsg14
Nsg15
VHabitats and biotopes
p104804
sbg8
(g9
g10
NtRp104805
(dp104806
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p104807
sbg8
(g9
g10
NtRp104808
(dp104809
g13
Nsg14
Nsg15
VFALSE
p104810
sbg8
(g9
g10
NtRp104811
(dp104812
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104813
sbg8
(g9
g10
NtRp104814
(dp104815
g13
Nsg14
Nsg15
VFALSE
p104816
sbNNNNNNNg8
(g9
g10
NtRp104817
(dp104818
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104819
(dp104820
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104821
(dp104822
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b_1940-2011_series
p104823
sbNNtp104824
a(g8
(g9
g10
NtRp104825
(dp104826
g13
Nsg14
Nsg15
Vaec16bd6-db2b-4d45-a8cd-f8a0820c4c48
p104827
sbNg8
(g9
g10
NtRp104828
(dp104829
g13
Nsg14
Nsg15
VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, modelled distribution of habitat probability (raster) - series
p104830
sbNNNNNg8
(g9
g10
NtRp104831
(dp104832
g13
Nsg14
Nsg15
VThis series references the modelled distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --
p104833
sbNNg8
(g9
g10
NtRp104834
(dp104835
g13
Nsg14
Nsg15
VFALSE
p104836
sbNNNg8
(g9
g10
NtRp104837
(dp104838
g13
Nsg14
Nsg15
VFALSE
p104839
sbNNg8
(g9
g10
NtRp104840
(dp104841
g13
Nsg14
Nsg15
VFALSE
p104842
sbNNg8
(g9
g10
NtRp104843
(dp104844
g13
Nsg14
Nsg15
VFALSE
p104845
sbNg8
(g9
g10
NtRp104846
(dp104847
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png
p104848
sbg8
(g9
g10
NtRp104849
(dp104850
g13
Nsg14
Nsg15
VEPSG:3035
p104851
sbg8
(g9
g10
NtRp104852
(dp104853
g13
Nsg14
Nsg15
V2019-06-04
p104854
sbNNg8
(g9
g10
NtRp104855
(dp104856
g13
Nsg14
Nsg15
Vforest|natural area|remote sensing|wood
p104857
sbg8
(g9
g10
NtRp104858
(dp104859
g13
Nsg14
Nsg15
Vgrid
p104860
sbg8
(g9
g10
NtRp104861
(dp104862
g13
Nsg14
Nsg15
VAAIGrid
p104863
sbNg8
(g9
g10
NtRp104864
(dp104865
g13
Nsg14
Nsg15
V1000m
p104866
sbNg8
(g9
g10
NtRp104867
(dp104868
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p104869
sbg8
(g9
g10
NtRp104870
(dp104871
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aec16bd6-db2b-4d45-a8cd-f8a0820c4c48
p104872
sbNNg8
(g9
g10
NtRp104873
(dp104874
g13
Nsg14
Nsg15
VFALSE
p104875
sbg8
(g9
g10
NtRp104876
(dp104877
g13
Nsg14
Nsg15
VHabitats and biotopes
p104878
sbg8
(g9
g10
NtRp104879
(dp104880
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p104881
sbg8
(g9
g10
NtRp104882
(dp104883
g13
Nsg14
Nsg15
VFALSE
p104884
sbg8
(g9
g10
NtRp104885
(dp104886
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104887
sbg8
(g9
g10
NtRp104888
(dp104889
g13
Nsg14
Nsg15
VFALSE
p104890
sbNNNNNNNg8
(g9
g10
NtRp104891
(dp104892
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104893
(dp104894
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104895
(dp104896
g13
Nsg14
Nsg15
Veea_r_3035_20_m_eunis-hab-p_1940-2011_series
p104897
sbNNtp104898
a(g8
(g9
g10
NtRp104899
(dp104900
g13
Nsg14
Nsg15
Vd44f2631-79d9-401d-80ce-ca0c0ffb3fef
p104901
sbNg8
(g9
g10
NtRp104902
(dp104903
g13
Nsg14
Nsg15
VEUNIS coastal habitats, modelled distribution of habitat probability (raster) - series
p104904
sbNNNNNg8
(g9
g10
NtRp104905
(dp104906
g13
Nsg14
Nsg15
VThis series references the modelled distribution of EUNIS coastal habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --
p104907
sbNNg8
(g9
g10
NtRp104908
(dp104909
g13
Nsg14
Nsg15
VFALSE
p104910
sbNNNg8
(g9
g10
NtRp104911
(dp104912
g13
Nsg14
Nsg15
VFALSE
p104913
sbNNg8
(g9
g10
NtRp104914
(dp104915
g13
Nsg14
Nsg15
VFALSE
p104916
sbNNg8
(g9
g10
NtRp104917
(dp104918
g13
Nsg14
Nsg15
VFALSE
p104919
sbNg8
(g9
g10
NtRp104920
(dp104921
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png
p104922
sbg8
(g9
g10
NtRp104923
(dp104924
g13
Nsg14
Nsg15
VEPSG:3035
p104925
sbg8
(g9
g10
NtRp104926
(dp104927
g13
Nsg14
Nsg15
V2019-06-04
p104928
sbNNg8
(g9
g10
NtRp104929
(dp104930
g13
Nsg14
Nsg15
Vforest|natural area|remote sensing|wood
p104931
sbg8
(g9
g10
NtRp104932
(dp104933
g13
Nsg14
Nsg15
Vgrid
p104934
sbg8
(g9
g10
NtRp104935
(dp104936
g13
Nsg14
Nsg15
VAAIGrid
p104937
sbNg8
(g9
g10
NtRp104938
(dp104939
g13
Nsg14
Nsg15
V1000m
p104940
sbNg8
(g9
g10
NtRp104941
(dp104942
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p104943
sbg8
(g9
g10
NtRp104944
(dp104945
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44f2631-79d9-401d-80ce-ca0c0ffb3fef
p104946
sbNNg8
(g9
g10
NtRp104947
(dp104948
g13
Nsg14
Nsg15
VFALSE
p104949
sbg8
(g9
g10
NtRp104950
(dp104951
g13
Nsg14
Nsg15
VHabitats and biotopes
p104952
sbg8
(g9
g10
NtRp104953
(dp104954
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p104955
sbg8
(g9
g10
NtRp104956
(dp104957
g13
Nsg14
Nsg15
VFALSE
p104958
sbg8
(g9
g10
NtRp104959
(dp104960
g13
Nsg14
Nsg15
VEuropean Environment Agency
p104961
sbg8
(g9
g10
NtRp104962
(dp104963
g13
Nsg14
Nsg15
VFALSE
p104964
sbNNNNNNNg8
(g9
g10
NtRp104965
(dp104966
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp104967
(dp104968
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp104969
(dp104970
g13
Nsg14
Nsg15
Veea_r_3035_20_m_eunis-hab-p_1940-2011_series
p104971
sbNNtp104972
a(g8
(g9
g10
NtRp104973
(dp104974
g13
Nsg14
Nsg15
V18ceba86-c0e8-49a7-bcc3-6ba6749ef380
p104975
sbNg8
(g9
g10
NtRp104976
(dp104977
g13
Nsg14
Nsg15
VEUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY
p104978
sbNNNNNg8
(g9
g10
NtRp104979
(dp104980
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability. \u000aThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.
p104981
sbNNg8
(g9
g10
NtRp104982
(dp104983
g13
Nsg14
Nsg15
VFALSE
p104984
sbNNNg8
(g9
g10
NtRp104985
(dp104986
g13
Nsg14
Nsg15
VFALSE
p104987
sbNNg8
(g9
g10
NtRp104988
(dp104989
g13
Nsg14
Nsg15
VFALSE
p104990
sbNNg8
(g9
g10
NtRp104991
(dp104992
g13
Nsg14
Nsg15
VFALSE
p104993
sbNg8
(g9
g10
NtRp104994
(dp104995
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png
p104996
sbg8
(g9
g10
NtRp104997
(dp104998
g13
Nsg14
Nsg15
VEPSG:3035
p104999
sbg8
(g9
g10
NtRp105000
(dp105001
g13
Nsg14
Nsg15
V2019-06-04
p105002
sbNNg8
(g9
g10
NtRp105003
(dp105004
g13
Nsg14
Nsg15
Vforest|habitat|modelling|natural area|terrestrial ecosystem
p105005
sbg8
(g9
g10
NtRp105006
(dp105007
g13
Nsg14
Nsg15
Vgrid
p105008
sbg8
(g9
g10
NtRp105009
(dp105010
g13
Nsg14
Nsg15
VGTiff
p105011
sbNg8
(g9
g10
NtRp105012
(dp105013
g13
Nsg14
Nsg15
V1000m
p105014
sbNg8
(g9
g10
NtRp105015
(dp105016
g13
Nsg14
Nsg15
VThe database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\u000aThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000a                The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\u000aStatistical output of the model:\u000a#Training samples: 3833\u000aRegularized training gain: 0.7296\u000aUnregularized training gain: 0.7715\u000aIterations: 500\u000aTraining AUC: 0.8144\u000a#Test samples: 425\u000aTest gain: 0.7372\u000aTest AUC: 0.8091\u000aAUC Standard Deviation: 0.0068\u000a#Background points: 13831\u000abio_12_etrs2_ras contribution: 7.2249\u000abio_15_etrs2_ras contribution: 1.3313\u000abio_18_etrs2_ras contribution: 5.0275\u000abio_4_etrs2_ras contribution: 57.2887\u000abio_8_etrs2_ras contribution: 0.1087\u000adist2water1km contribution: 0.099\u000apet_he_yr contribution: 25.3307\u000asoil_ph contribution: 0.2365\u000asolar_1km contribution: 3.3526\u000abio_12_etrs2_ras permutation importance: 6.7298\u000abio_15_etrs2_ras permutation importance: 2.9637\u000abio_18_etrs2_ras permutation importance: 3.5609\u000abio_4_etrs2_ras permutation importance: 60.7858\u000abio_8_etrs2_ras permutation importance: 0.5247\u000adist2water1km permutation importance: 0.5285\u000apet_he_yr permutation importance: 20.3984\u000asoil_ph permutation importance: 0.6564\u000asolar_1km permutation importance: 3.8518\u000aEntropy: 8.8058\u000aPrevalence (average of logistic output over background sites): 0.2375\u000aFixed cumulative value 1 cumulative threshold: 1\u000aFixed cumulative value 1 logistic threshold: 0.0703\u000aFixed cumulative value 1 area: 0.5494\u000aFixed cumulative value 1 training omission: 0.0055\u000aFixed cumulative value 1 test omission: 0.0118\u000aFixed cumulative value 1 binomial probability: 0.00E+00\u000aFixed cumulative value 5 cumulative threshold: 5\u000aFixed cumulative value 5 logistic threshold: 0.2449\u000aFixed cumulative value 5 area: 0.4424\u000aFixed cumulative value 5 training omission: 0.0324\u000aFixed cumulative value 5 test omission: 0.0447\u000aFixed cumulative value 5 binomial probability: 0.00E+00\u000aFixed cumulative value 10 cumulative threshold: 10\u000aFixed cumulative value 10 logistic threshold: 0.3549\u000aFixed cumulative value 10 area: 0.3875\u000aFixed cumulative value 10 training omission: 0.0788\u000aFixed cumulative value 10 test omission: 0.0776\u000aFixed cumulative value 10 binomial probability: 0.00E+00\u000aMinimum training presence cumulative threshold: 0.0905\u000aMinimum training presence logistic threshold: 0.0045\u000aMinimum training presence area: 0.7482\u000aMinimum training presence training omission: 0\u000aMinimum training presence test omission: 0.0047\u000aMinimum training presence binomial probability: 4.13E-32\u000a10 percentile training presence cumulative threshold: 12.1187\u000a10 percentile training presence logistic threshold: 0.3765\u000a10 percentile training presence area: 0.3699\u000a10 percentile training presence training omission: 0.0999\u000a10 percentile training presence test omission: 0.0847\u000a10 percentile training presence binomial probability: 0.00E+00\u000aEqual training sensitivity and specificity cumulative threshold: 28.4686\u000aEqual training sensitivity and specificity logistic threshold: 0.4751\u000aEqual training sensitivity and specificity area: 0.2656\u000aEqual training sensitivity and specificity training omission: 0.2656\u000aEqual training sensitivity and specificity test omission: 0.2565\u000aEqual training sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum training sensitivity plus specificity cumulative threshold: 8.9074\u000aMaximum training sensitivity plus specificity logistic threshold: 0.3398\u000aMaximum training sensitivity plus specificity area: 0.3974\u000aMaximum training sensitivity plus specificity training omission: 0.0663\u000aMaximum training sensitivity plus specificity test omission: 0.0706\u000aMaximum training sensitivity plus specificity binomial probability: 0.00E+00\u000aEqual test sensitivity and specificity cumulative threshold: 28.8768\u000aEqual test sensitivity and specificity logistic threshold: 0.4768\u000aEqual test sensitivity and specificity area: 0.2635\u000aEqual test sensitivity and specificity training omission: 0.269\u000aEqual test sensitivity and specificity test omission: 0.2635\u000aEqual test sensitivity and specificity binomial probability: 0.00E+00\u000aMaximum test sensitivity plus specificity cumulative threshold: 12.1714\u000aMaximum test sensitivity plus specificity logistic threshold: 0.3772\u000aMaximum test sensitivity plus specificity area: 0.3695\u000aMaximum test sensitivity plus specificity training omission: 0.1002\u000aMaximum test sensitivity plus specificity test omission: 0.0847\u000aMaximum test sensitivity plus specificity binomial probability: 0.00E+00\u000aBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\u000aBalance training omission, predicted area and threshold value logistic threshold: 0.1058\u000aBalance training omission, predicted area and threshold value area: 0.5243\u000aBalance training omission, predicted area and threshold value training omission: 0.007\u000aBalance training omission, predicted area and threshold value test omission: 0.0118\u000aBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\u000aEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\u000aEquate entropy of thresholded and original distributions logistic threshold: 0.1671\u000aEquate entropy of thresholded and original distributions area: 0.4825\u000aEquate entropy of thresholded and original distributions training omission: 0.0162\u000aEquate entropy of thresholded and original distributions test omission: 0.0165\u000aEquate entropy of thresholded and original distributions binomial probability: 0.00E+00
p105017
sbg8
(g9
g10
NtRp105018
(dp105019
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18ceba86-c0e8-49a7-bcc3-6ba6749ef380
p105020
sbNNg8
(g9
g10
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VHabitats and biotopes|Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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VEuropean Environment Agency
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p105038
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Veea_r_3035_1_km_eunis-hab-series_p_1940-20xx_v01_r00
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V4cafda6d-f635-4fb2-b2b0-47731eeb28f8
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VCorine Land Cover 2006 (raster 100m) - series
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VThis series references all versions of Corine Land Cover 2006, raster 100m starting with version 13.\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \u000a\u000aCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p105055
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VFALSE
p105058
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VFALSE
p105061
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Nsg15
VFALSE
p105064
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VFALSE
p105067
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VEPSG:3035
p105073
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(dp105075
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Nsg14
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V2019-06-04
p105076
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Vgrid
p105079
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VGTiff
p105082
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V100m
p105085
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VProduct is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cafda6d-f635-4fb2-b2b0-47731eeb28f8
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VFALSE
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VLand cover
p105097
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p105100
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VFALSE
p105103
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VEuropean Environment Agency
p105106
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Nsg15
VFALSE
p105109
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V
sbg8
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V
sbNNg8
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Veea_r_3035_100_m_clc_2006_series
p105116
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V88bc8c56-55d6-45a4-91bf-a03843b3e3e7
p105120
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VEuropean catchments and Rivers network system (Ecrins) - version 1, Jun. 2012
p105123
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VEcrins is acronym for European catchments and Rivers network system. It is a geographical information system of the European hydrographical systems with a full topological information. Ecrins is a composite system made from the CCM developed by the JRC, Corine land Cover, WFD reporting elements, etc.\u000aIt is organised from a layer of 181,071 \u201cfunctional elementary catchments (FECs)\u201d which average size is ~62 km2, fully connected with explicit identifier (ID) relationships and upstream area. Catchments are grouped as sub-basins, river basin districts (actual and functional to meet hydrographical continuity).\u000aThe catchments are as well organised according to their sea shore of emptying to meet Marine Strategy delineations. Catchments are drained by 1,348,163 river segments, sorted as \u201cmain drains\u201d (connecting together the FECs) and secondary drains (internal to a FEC). river segments mimic the natural drainage, however fulfilling the topological constraint of \u201c0,1 or 2 upstreams, single or 0 downstream\u201d. Each segment is populated with distance to the sea, to ease further processing. They are connected to elementary catchments and nodes documented with altitude.\u000aSegments are as well documented with a \u201cdummy river code\u201d, fully populated that earmark each segment with the most distant to the outlet in each drainage basin and, everywhere this has been possible, with a \u201ctrue river\u201d ID based on river naming.\u000aA layer of lakes and dams has been elaborated. Lakes polygons (70,847) are taken from Corine Land cover , WFD Art. 13 and in some cases, from CCM \u201cwater layer\u201d. Lakes inlets and outlets are set with the segment ID and where relevant, the dams making the lake is documented. All lakes which depths and volume was found have been updated.\u000aVersion 1.0 here presented still contain some topological errors (e.g. incorrect segment branching), because inaccurate geometry. They are noted and a correction procedure is underway.
p105126
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Vhttps://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network
p105129
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(dp105131
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Nsg15
VFALSE
p105132
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VFALSE
p105135
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Nsg15
VFALSE
p105138
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(g9
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Nsg14
Nsg15
VFALSE
p105141
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/88bc8c56-55d6-45a4-91bf-a03843b3e3e7.png
p105144
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VEPSG:3035
p105147
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(g9
g10
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g13
Nsg14
Nsg15
V2019-06-04
p105150
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Nsg14
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VHydrography
p105153
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Nsg15
Vhydrography
p105156
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Vvector
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VPGeo
p105162
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NtRp105163
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V1:250000
p105165
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Nsg14
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VProduct is based on CCM River and Catchment Database, version 2.1 (vector, lines and points data sets). Coastal definition has been substituted by SeaVox se delineation adjusted to CCM shore line. Lakes polygons are taken from Corine land Cover 2006, XFD Art 13 deliveries and to a lesser extend from CCM water layer. Lakes relevance has been checked against ERM Euroregional maps(layers 2010). River names taken from many sources: ERM, Wikipedia, WFD deliveries and water bodies deliveries, EEA data base on dams, etc. Dams have been taken from several sources: Icold, French ministry of energy, public web sites. Their position has been found by the EEA using a web based tool applied to GoogleEarth, completed by Eionet deliveries. Corrections are proposed by innumerable source, of which EU member states (as provision of the water bodies) and consultants, primarily Pöyry during systematic calculation of discharges at segment level.
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88bc8c56-55d6-45a4-91bf-a03843b3e3e7
p105171
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(g9
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NtRp105172
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VFALSE
p105174
sbNg8
(g9
g10
NtRp105175
(dp105176
g13
Nsg14
Nsg15
VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
p105177
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(g9
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NtRp105178
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Nsg15
VFALSE
p105180
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(g9
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NtRp105181
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Nsg14
Nsg15
VEuropean Environment Agency
p105183
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Nsg15
VFALSE
p105186
sbNNNNNNNg8
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V
sbg8
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V
sbNNg8
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Veea_v_3035_250_k_ecrins_1990-2006_rev01
p105193
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Vaf51f22b-bd28-4217-aa73-1c95c08577d1
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VEuropean catchments and Rivers network system (Ecrins), gazetteer - version 1, Jun. 2012
p105200
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VThis data set, albeit a geodatabases, does not contain feature classes. For the time being, it only contains flat tables Rinames (river names) that links to C_TR feature class with ID Riv_ID (river identifier) and to RivNamesAlias, when more than one alternate name was found for the river.\u000aAncillary table Tr2Riv makes another updated relationship between segments (as from C_Tr) and RivNames / RivNamesAlias in case of need to compute some statistics (e.g. named rivers per basin, etc.)\u000aWhen relevant, other gazetting could be added to this data set and will be documented in next releases.\u000aThe graphic shows the rivers names (excluding those unnamed).
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Vhttps://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network
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VFALSE
p105209
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VFALSE
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VFALSE
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VFALSE
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af51f22b-bd28-4217-aa73-1c95c08577d1.png
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VEPSG:3035
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V2019-06-04
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VHydrography
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Vhydrography
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Vvector
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VPGeo
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V1:250000
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VNames are taken from several sources, of which open source national datasets, art 13 deliveries (water bodies having reference to a river in national system), dams database (dam is often documented with the river on which it is), Wikipedia (when rivers is inlet /outlet of lake) and ERM. Names are assigned by the most probable identity between a source and a segment in Ecrins, following the affluent levels. In next release, monitoring information shall be mobilised as well.
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VFALSE
p105251
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VUnless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged.  The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information.  The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website.  Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu
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VFALSE
p105257
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VEuropean Environment Agency
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V
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V
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Veea_v_3035_250_k_ecrins-gazetteer_1990-2006_rev01
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Vd82219d7-79bd-416b-81b7-c521c6cbc835
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VPopulation density grid for 2006 based on GEOSTAT data (raster)
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VThis dataset contains the number of inhabitants per km² for the reference year 2006 and located within the Grid_ETRS89-LAEA_1K. The data set should be referred to GEOSTAT_Grid_POP_2006_1K. The dataset is compiled from the following data sources: aggregated residential population for the year 2006 (AT, SE, FI, SI, NL); estimated residential population for the year 2006 based on mixed national sources (EE, PT, FR, NO, PL, UK (England, Wales)); disaggregated residential population for the year 2006 using using population statistics at LAU2 level for 2006 as data input and Soil Sealing and Corine LC 2006 (BE, BG, CH, CZ, DE, EL, ES, HU, IE, IS, IT, LI, LT, LU, LV, MT, RO, SK, UK (Scotland, Northern Ireland) as ancillary data for the disaggregation.\u000aNo data available for CY due to absent LAU2 data for Cyprus for the reference year 2006.\u000aThe dataset is based on a product of the GEOSTAT project which is supported by the European Commission and the European Forum for Geostatistics EFGS.\u000aThis abstract is based on the abstract provided with the original dataset (CSV file).
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VFALSE
p105283
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VFALSE
p105286
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VFALSE
p105289
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VFALSE
p105292
sbNg8
(g9
g10
NtRp105293
(dp105294
g13
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Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d82219d7-79bd-416b-81b7-c521c6cbc835.png
p105295
sbg8
(g9
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NtRp105296
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VEPSG:3035
p105298
sbg8
(g9
g10
NtRp105299
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g13
Nsg14
Nsg15
V2019-06-04
p105301
sbNg8
(g9
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NtRp105302
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Nsg14
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VPopulation distribution \u2014 demography
p105304
sbg8
(g9
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NtRp105305
(dp105306
g13
Nsg14
Nsg15
Vpopulation density|population distribution
p105307
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(g9
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NtRp105308
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Vgrid
p105310
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VGTiff
p105313
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(g9
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NtRp105314
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V1000m
p105316
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NtRp105317
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VProduction of original dataset available at http://www.gisco.eurostat.cec/shared-data/GEOSTAT-1km-Grid/ :\u000aAustria (DATA_SRC = AT): Aggregation from national register data using building points reprojected to ETRS89-LAEA.\u000aEstonia (DATA_SRC = EE): The population data for non Census years is only available on municipality level (LAU2). The 2006 population gridmap is an estimation which is based on different datasets - 2011 Census building centroids (contains also building addresses and coordinates), persons address data from population register, data about new buildings from buildings register and the official 2006 population counts on municipalities level. Buildings that were built between 2006 and 2011 were excluded. Based on building centroids the 2006 population in municipalities were calculated and the numbers were compared to the official population counts for the year 2006. If there were differences between the two numbers then the missing/redundant number of persons were added/deleted to/from randomly selected buildings within the same municipality. The building centroid datset were aggregated to grids.\u000aFinland (DATA_SRC = FI): Data were recast to 1km2 ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated by using building points.\u000aThe Netherlands ((DATA_SRC = NL): Source population register, allocated by address-coordinates. Recast from 100m x 100m grid (aggregated) in national projection (EFGS 28992). Not allocated were a number of 6,930 persons from a total of 16,334,210 persons on the 1 January 2006\u000aPoland (DATA_SRC = PL): Use of address points layer (reference 2011) as a parameter to disaggregate population distribution from the administrative units (reference 2006) into the 1km2 grid.Portugal: The population data for 2006 is only available on municipality level (LAU1). These data and the 2001 and 2011 population distribution on 1km2 grid was used to estimate the 2006 population for each grid cell. Determination of the percentage breakdown of population in 2001 and 2011 within each municipality that reside in a particular grid; Estimate the 2006 grid cell population as linear combined estimates of the previous percentages with fixed weights multiplied by the 2006 population in the municipality.\u000aSweden (DATA_SRC = SE: Data was aggregated using building locations. 21249 persons not located in any grid cell.\u000aSlovenia (DATA_SRC = SI): Aggregation using building locations. 15 persons not located in any grid cell.Norway: Data recast to 1 km x 1 km ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated using building points.\u000aDenmark (DATA_SRC = DK): Aggregation of household locations. \u000aFrance: Combination of tax register, census data and cadastral data. \u000aUnited Kingdom (England, Wales) (DATA_SRC = GB): The map is based on postcode population estimates. Population estimates have been produced for 1.33m residential postcodes. \u000aAustrian Institute for Technology (DATA_SRC = AIT) (for BE, BG, CH, CZ, DE, EL, ES, IE, IT, HU, LI, LU, LT, LV, MT, RO, SK, UK (Scotland, Northern Ireland): input data EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 2006 (© European Environment Agency) Population per LAU2 (LAU1) 2006 (© Eurostat) LAU2 borderlines (© Eurogeographics) Corine Land Cover 2006 (© European Environment Agency) Open Street Map data (Geodaten © OpenStreetMap) Methodology: 1.Creating non-residential masks (1:100.000); Non-residential built-up areas of Corine Land Cover (CLC 1.2, 1.3, 1.4) Rasterized road and rail network from OSM data2. Masking of Degree of Soil Sealing Layer resulting in Housing Density Layer\u000a3. Linear Disaggregation of LAU2 population data to Housing Density Layer 4. Aggregation of disaggregated population to 1km grid.\u000a-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-\u000aProduction of current dataset:\u000aProduction of a raster file based on an Inspire compliant grid.
p105319
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NtRp105320
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d82219d7-79bd-416b-81b7-c521c6cbc835
p105322
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(g9
g10
NtRp105323
(dp105324
g13
Nsg14
Nsg15
VFALSE
p105325
sbNg8
(g9
g10
NtRp105326
(dp105327
g13
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VThe data may be freely copied, published and distributed by the user within the user\u2019s own organisation (enterprise, governmental authority or municipality).For the data produced by Statistics AT, FI, FR, SE, DK, PL, EE, SI, NL, NO, UK, PT (as encoded in the field DATA_SRC) the following limitations apply to the use and dissemination of the grid dataset outside the user\u2019s organisation: the dataset shall not, either in whole or in part, be sold to others or otherwise used for commercial purposes by the user. The user shall also refrain from disseminating the dataset to multiple clients, outside the user\u2019s own organisation.In addition, for SE all rights to the product shall be the property of Statistics Sweden under the provisions of the Copyright Act (1960:729). The Copyright Act contains provisions for penalties and damages related to copyright violation. Users who wish to use the dataset for commercial purposes or to dissiminate the dataset without charges should contact Statistics Sweden in order to make an agreement. Contact information: regionalt@scb.se.In addition for DK all rights to the product shall be the property of Statistics Denmark (www.dst.dk). Users that wish to use the dataset for commercial purposes or to disseminate the dataset without charges should contact Statistics Denmark (www.dst.dk) in order to make an agreement. Contact information: Erik Sommer, Chief Adviser, Customer Centre, eso@dst.dk . Trade with Statistics Denmark is governed by Danish law. Any dispute that cannot be resolved by negotiations between the parties must be settled by the Maritime and Commercial Court in Copenhagen as the court of first instance. Information about the business conditions for use of data from Statistics Denmark http://www.dst.dk/en/ForSale/dataandanalysis/Business-conditions.aspx and http://www.dst.dk/en/ForSale/dataandanalysis/General-terms-and-conditions.aspx#govFor the data created by AIT (as encoded in the field DATA_SRC) the rights to the data shall be the property of the European Commission. The AIT data may be freely used and disseminated without restrictions.
p105328
sbg8
(g9
g10
NtRp105329
(dp105330
g13
Nsg14
Nsg15
VFALSE
p105331
sbg8
(g9
g10
NtRp105332
(dp105333
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105334
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(g9
g10
NtRp105335
(dp105336
g13
Nsg14
Nsg15
VFALSE
p105337
sbNNNNNNNg8
(g9
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NtRp105338
(dp105339
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105340
(dp105341
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105342
(dp105343
g13
Nsg14
Nsg15
Veea_r_3035_1_km_pop-density-geostat_2006
p105344
sbNNtp105345
a(g8
(g9
g10
NtRp105346
(dp105347
g13
Nsg14
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V54a9568c-30bc-4f45-8990-f4c2fff44f82
p105348
sbNg8
(g9
g10
NtRp105349
(dp105350
g13
Nsg14
Nsg15
VSpecially Protected Areas of Mediterranean Importance 1992 - 2012 (vector) - version 1, Sep. 2013
p105351
sbNNNNNg8
(g9
g10
NtRp105352
(dp105353
g13
Nsg14
Nsg15
VThe Specially Protected Areas of Mediterranean Importance (SPAMI) - version 1 (09/2013) is a dataset produced within the Spatial analysis of Marine Protected Area Networks in Europe´s seas, elaborated by ISPRA (Rome, Italy) and coordinated by the European Environment Agency (EEA) in 2013-2014. SPAMI are marine protected areas (MPAs) declared in the frame of the Barcelona Convention for the Protection of the marine environment and the coastal Region of the Mediterranean Sea (Barcelona Convention). Since no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the  Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information.\u000a\u000aNB: Reprojection issues have been identified for some polygons (e.g. in islands West of Italy)
p105354
sbNNg8
(g9
g10
NtRp105355
(dp105356
g13
Nsg14
Nsg15
VFALSE
p105357
sbNNNg8
(g9
g10
NtRp105358
(dp105359
g13
Nsg14
Nsg15
VFALSE
p105360
sbNNg8
(g9
g10
NtRp105361
(dp105362
g13
Nsg14
Nsg15
VFALSE
p105363
sbNNg8
(g9
g10
NtRp105364
(dp105365
g13
Nsg14
Nsg15
VFALSE
p105366
sbNg8
(g9
g10
NtRp105367
(dp105368
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/54a9568c-30bc-4f45-8990-f4c2fff44f82.png
p105369
sbg8
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g10
NtRp105370
(dp105371
g13
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Nsg15
VEPSG:3035
p105372
sbg8
(g9
g10
NtRp105373
(dp105374
g13
Nsg14
Nsg15
V2019-06-04
p105375
sbNg8
(g9
g10
NtRp105376
(dp105377
g13
Nsg14
Nsg15
VProtected sites
p105378
sbg8
(g9
g10
NtRp105379
(dp105380
g13
Nsg14
Nsg15
Vnatural areas
p105381
sbg8
(g9
g10
NtRp105382
(dp105383
g13
Nsg14
Nsg15
Vvector
p105384
sbg8
(g9
g10
NtRp105385
(dp105386
g13
Nsg14
Nsg15
VSHP
p105387
sbNg8
(g9
g10
NtRp105388
(dp105389
g13
Nsg14
Nsg15
V1:1000000
p105390
sbNg8
(g9
g10
NtRp105391
(dp105392
g13
Nsg14
Nsg15
VThe SPAMI sites represented in the shapefile have been defined by the contracting parties within the legal framework of the Barcelona Convention.\u000a\u000aSince no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the  Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information.
p105393
sbg8
(g9
g10
NtRp105394
(dp105395
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54a9568c-30bc-4f45-8990-f4c2fff44f82
p105396
sbNNg8
(g9
g10
NtRp105397
(dp105398
g13
Nsg14
Nsg15
VFALSE
p105399
sbNg8
(g9
g10
NtRp105400
(dp105401
g13
Nsg14
Nsg15
VRestricted
p105402
sbg8
(g9
g10
NtRp105403
(dp105404
g13
Nsg14
Nsg15
VFALSE
p105405
sbg8
(g9
g10
NtRp105406
(dp105407
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105408
sbg8
(g9
g10
NtRp105409
(dp105410
g13
Nsg14
Nsg15
VFALSE
p105411
sbNNNNNNNg8
(g9
g10
NtRp105412
(dp105413
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105414
(dp105415
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105416
(dp105417
g13
Nsg14
Nsg15
Veea_v_3035_1_mio_spami-mpas_1992-2012_rev1
p105418
sbNNtp105419
a(g8
(g9
g10
NtRp105420
(dp105421
g13
Nsg14
Nsg15
V7c2dd14f-60b6-4009-aca8-5d20300479a9
p105422
sbNg8
(g9
g10
NtRp105423
(dp105424
g13
Nsg14
Nsg15
VStatus and trends of bird populations 2008-2012 for public access, Nov. 2015
p105425
sbNNNNNg8
(g9
g10
NtRp105426
(dp105427
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. \u000a\u000aThe dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. \u000a\u000aThis version does not include species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.
p105428
sbg8
(g23
g10
NtRp105429
(dp105430
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-12-database-birds-directive-2009-147-ec
p105431
sbNg8
(g9
g10
NtRp105432
(dp105433
g13
Nsg14
Nsg15
VFALSE
p105434
sbNNNg8
(g9
g10
NtRp105435
(dp105436
g13
Nsg14
Nsg15
VFALSE
p105437
sbNNg8
(g9
g10
NtRp105438
(dp105439
g13
Nsg14
Nsg15
VFALSE
p105440
sbNNg8
(g9
g10
NtRp105441
(dp105442
g13
Nsg14
Nsg15
VFALSE
p105443
sbNg8
(g9
g10
NtRp105444
(dp105445
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c2dd14f-60b6-4009-aca8-5d20300479a9.png
p105446
sbg8
(g9
g10
NtRp105447
(dp105448
g13
Nsg14
Nsg15
VEPSG:3035
p105449
sbg8
(g9
g10
NtRp105450
(dp105451
g13
Nsg14
Nsg15
V2019-06-04
p105452
sbNg8
(g9
g10
NtRp105453
(dp105454
g13
Nsg14
Nsg15
VSpecies distribution
p105455
sbg8
(g9
g10
NtRp105456
(dp105457
g13
Nsg14
Nsg15
VEC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy
p105458
sbg8
(g9
g10
NtRp105459
(dp105460
g13
Nsg14
Nsg15
Vvector
p105461
sbg8
(g9
g10
NtRp105462
(dp105463
g13
Nsg14
Nsg15
VSHP|SQLite
p105464
sbNg8
(g9
g10
NtRp105465
(dp105466
g13
Nsg14
Nsg15
V1:10000000
p105467
sbNg8
(g9
g10
NtRp105468
(dp105469
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012.  The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process.\u000aMore information is available in the report art12_delivery_note_technical_report.pdf available together with the dataset.
p105470
sbg8
(g9
g10
NtRp105471
(dp105472
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c2dd14f-60b6-4009-aca8-5d20300479a9
p105473
sbNNg8
(g9
g10
NtRp105474
(dp105475
g13
Nsg14
Nsg15
VFALSE
p105476
sbNg8
(g9
g10
NtRp105477
(dp105478
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA)
p105479
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(g9
g10
NtRp105480
(dp105481
g13
Nsg14
Nsg15
VFALSE
p105482
sbg8
(g9
g10
NtRp105483
(dp105484
g13
Nsg14
Nsg15
VEuropean Commission
p105485
sbg8
(g9
g10
NtRp105486
(dp105487
g13
Nsg14
Nsg15
VFALSE
p105488
sbNNNNNNNg8
(g9
g10
NtRp105489
(dp105490
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105491
(dp105492
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105493
(dp105494
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_status-trends-birds-public_2008-2012
p105495
sbNNtp105496
a(g8
(g9
g10
NtRp105497
(dp105498
g13
Nsg14
Nsg15
V2e12957f-2921-4069-ae7f-0c9fee0d64f8
p105499
sbNg8
(g9
g10
NtRp105500
(dp105501
g13
Nsg14
Nsg15
VConservation status of species 2007-2012 for public access aggregated by Member State, Sep. 2014
p105502
sbNNNNNg8
(g9
g10
NtRp105503
(dp105504
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aThis version does not include species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.
p105505
sbg8
(g23
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NtRp105506
(dp105507
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1
p105508
sbNg8
(g9
g10
NtRp105509
(dp105510
g13
Nsg14
Nsg15
VFALSE
p105511
sbNNNg8
(g9
g10
NtRp105512
(dp105513
g13
Nsg14
Nsg15
VFALSE
p105514
sbNNg8
(g9
g10
NtRp105515
(dp105516
g13
Nsg14
Nsg15
VFALSE
p105517
sbNNg8
(g9
g10
NtRp105518
(dp105519
g13
Nsg14
Nsg15
VFALSE
p105520
sbNg8
(g9
g10
NtRp105521
(dp105522
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e12957f-2921-4069-ae7f-0c9fee0d64f8.png
p105523
sbg8
(g9
g10
NtRp105524
(dp105525
g13
Nsg14
Nsg15
VEPSG:3035
p105526
sbg8
(g9
g10
NtRp105527
(dp105528
g13
Nsg14
Nsg15
V2019-06-04
p105529
sbNg8
(g9
g10
NtRp105530
(dp105531
g13
Nsg14
Nsg15
VHabitats and biotopes|Species distribution
p105532
sbg8
(g9
g10
NtRp105533
(dp105534
g13
Nsg14
Nsg15
VEC directive|European Union|habitat|nature conservation|nature conservation policy|species
p105535
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NtRp105536
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g13
Nsg14
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Vvector
p105538
sbg8
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g10
NtRp105539
(dp105540
g13
Nsg14
Nsg15
VSHP
p105541
sbNg8
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g10
NtRp105542
(dp105543
g13
Nsg14
Nsg15
V1:10000000
p105544
sbNg8
(g9
g10
NtRp105545
(dp105546
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.
p105547
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NtRp105548
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e12957f-2921-4069-ae7f-0c9fee0d64f8
p105550
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NtRp105551
(dp105552
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Nsg14
Nsg15
VFALSE
p105553
sbNg8
(g9
g10
NtRp105554
(dp105555
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p105556
sbg8
(g9
g10
NtRp105557
(dp105558
g13
Nsg14
Nsg15
VFALSE
p105559
sbg8
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g10
NtRp105560
(dp105561
g13
Nsg14
Nsg15
VEuropean Commission
p105562
sbg8
(g9
g10
NtRp105563
(dp105564
g13
Nsg14
Nsg15
VFALSE
p105565
sbNNNNNNNg8
(g9
g10
NtRp105566
(dp105567
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105568
(dp105569
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105570
(dp105571
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-species-public-agg-ms_2007-2012
p105572
sbNNtp105573
a(g8
(g9
g10
NtRp105574
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g13
Nsg14
Nsg15
Vee91f323-b845-4a6b-ade4-f3c354c6ed07f
p105576
sbNg8
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g10
NtRp105577
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g13
Nsg14
Nsg15
VEEA reference grid for Azores (100km), May 2013
p105579
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Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105582
sbNNg8
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Nsg15
VFALSE
p105585
sbNNNg8
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g13
Nsg14
Nsg15
VFALSE
p105588
sbNNg8
(g9
g10
NtRp105589
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g13
Nsg14
Nsg15
VFALSE
p105591
sbNNg8
(g9
g10
NtRp105592
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g13
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VFALSE
p105594
sbNg8
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g10
NtRp105595
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g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee91f323-b845-4a6b-ade4-f3c354c6ed07f.png
p105597
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(g9
g10
NtRp105598
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g13
Nsg14
Nsg15
VEPSG:3035
p105600
sbg8
(g9
g10
NtRp105601
(dp105602
g13
Nsg14
Nsg15
V2019-06-21
p105603
sbNg8
(g9
g10
NtRp105604
(dp105605
g13
Nsg14
Nsg15
VGeographical grid systems
p105606
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(g9
g10
NtRp105607
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g13
Nsg14
Nsg15
Vgridding
p105609
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Nsg14
Nsg15
Vvector
p105612
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NtRp105613
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g13
Nsg14
Nsg15
VSHP
p105615
sbNg8
(g9
g10
NtRp105616
(dp105617
g13
Nsg14
Nsg15
V100000m
p105618
sbNg8
(g9
g10
NtRp105619
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Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105621
sbg8
(g9
g10
NtRp105622
(dp105623
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee91f323-b845-4a6b-ade4-f3c354c6ed07f
p105624
sbNNg8
(g9
g10
NtRp105625
(dp105626
g13
Nsg14
Nsg15
VFALSE
p105627
sbNg8
(g9
g10
NtRp105628
(dp105629
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p105630
sbg8
(g9
g10
NtRp105631
(dp105632
g13
Nsg14
Nsg15
VFALSE
p105633
sbg8
(g9
g10
NtRp105634
(dp105635
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105636
sbg8
(g9
g10
NtRp105637
(dp105638
g13
Nsg14
Nsg15
VFALSE
p105639
sbNNNNNNNg8
(g9
g10
NtRp105640
(dp105641
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105642
(dp105643
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105644
(dp105645
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt-20_2013
p105646
sbNNtp105647
a(g8
(g9
g10
NtRp105648
(dp105649
g13
Nsg14
Nsg15
V81ddbbee-78c1-4362-a156-68950610568cf
p105650
sbNg8
(g9
g10
NtRp105651
(dp105652
g13
Nsg14
Nsg15
VEEA reference grid for Azores (10km), May 2013
p105653
sbNNNNNg8
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g10
NtRp105654
(dp105655
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105656
sbNNg8
(g9
g10
NtRp105657
(dp105658
g13
Nsg14
Nsg15
VFALSE
p105659
sbNNNg8
(g9
g10
NtRp105660
(dp105661
g13
Nsg14
Nsg15
VFALSE
p105662
sbNNg8
(g9
g10
NtRp105663
(dp105664
g13
Nsg14
Nsg15
VFALSE
p105665
sbNNg8
(g9
g10
NtRp105666
(dp105667
g13
Nsg14
Nsg15
VFALSE
p105668
sbNg8
(g9
g10
NtRp105669
(dp105670
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/81ddbbee-78c1-4362-a156-68950610568cf.png
p105671
sbg8
(g9
g10
NtRp105672
(dp105673
g13
Nsg14
Nsg15
VEPSG:3035
p105674
sbg8
(g9
g10
NtRp105675
(dp105676
g13
Nsg14
Nsg15
V2019-06-21
p105677
sbNg8
(g9
g10
NtRp105678
(dp105679
g13
Nsg14
Nsg15
VGeographical grid systems
p105680
sbg8
(g9
g10
NtRp105681
(dp105682
g13
Nsg14
Nsg15
Vgridding
p105683
sbg8
(g9
g10
NtRp105684
(dp105685
g13
Nsg14
Nsg15
Vvector
p105686
sbg8
(g9
g10
NtRp105687
(dp105688
g13
Nsg14
Nsg15
VSHP
p105689
sbNg8
(g9
g10
NtRp105690
(dp105691
g13
Nsg14
Nsg15
V10000m
p105692
sbNg8
(g9
g10
NtRp105693
(dp105694
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105695
sbg8
(g9
g10
NtRp105696
(dp105697
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81ddbbee-78c1-4362-a156-68950610568cf
p105698
sbNNg8
(g9
g10
NtRp105699
(dp105700
g13
Nsg14
Nsg15
VFALSE
p105701
sbNg8
(g9
g10
NtRp105702
(dp105703
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p105704
sbg8
(g9
g10
NtRp105705
(dp105706
g13
Nsg14
Nsg15
VFALSE
p105707
sbg8
(g9
g10
NtRp105708
(dp105709
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105710
sbg8
(g9
g10
NtRp105711
(dp105712
g13
Nsg14
Nsg15
VFALSE
p105713
sbNNNNNNNg8
(g9
g10
NtRp105714
(dp105715
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105716
(dp105717
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105718
(dp105719
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt-20_2013
p105720
sbNNtp105721
a(g8
(g9
g10
NtRp105722
(dp105723
g13
Nsg14
Nsg15
Vf78749ac-3d9c-45b3-96e5-7ff54cfdbddef
p105724
sbNg8
(g9
g10
NtRp105725
(dp105726
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (10km), May 2013
p105727
sbNNNNNg8
(g9
g10
NtRp105728
(dp105729
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105730
sbNNg8
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g10
NtRp105731
(dp105732
g13
Nsg14
Nsg15
VFALSE
p105733
sbNNNg8
(g9
g10
NtRp105734
(dp105735
g13
Nsg14
Nsg15
VFALSE
p105736
sbNNg8
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g10
NtRp105737
(dp105738
g13
Nsg14
Nsg15
VFALSE
p105739
sbNNg8
(g9
g10
NtRp105740
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g13
Nsg14
Nsg15
VFALSE
p105742
sbNg8
(g9
g10
NtRp105743
(dp105744
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78749ac-3d9c-45b3-96e5-7ff54cfdbddef.png
p105745
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g10
NtRp105746
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g13
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Nsg15
VEPSG:3035
p105748
sbg8
(g9
g10
NtRp105749
(dp105750
g13
Nsg14
Nsg15
V2019-07-01
p105751
sbNg8
(g9
g10
NtRp105752
(dp105753
g13
Nsg14
Nsg15
VGeographical grid systems
p105754
sbg8
(g9
g10
NtRp105755
(dp105756
g13
Nsg14
Nsg15
Vgridding
p105757
sbg8
(g9
g10
NtRp105758
(dp105759
g13
Nsg14
Nsg15
Vvector
p105760
sbg8
(g9
g10
NtRp105761
(dp105762
g13
Nsg14
Nsg15
VSHP
p105763
sbNg8
(g9
g10
NtRp105764
(dp105765
g13
Nsg14
Nsg15
V10000m
p105766
sbNg8
(g9
g10
NtRp105767
(dp105768
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105769
sbg8
(g9
g10
NtRp105770
(dp105771
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78749ac-3d9c-45b3-96e5-7ff54cfdbddef
p105772
sbNNg8
(g9
g10
NtRp105773
(dp105774
g13
Nsg14
Nsg15
VFALSE
p105775
sbNg8
(g9
g10
NtRp105776
(dp105777
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p105778
sbg8
(g9
g10
NtRp105779
(dp105780
g13
Nsg14
Nsg15
VFALSE
p105781
sbg8
(g9
g10
NtRp105782
(dp105783
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105784
sbg8
(g9
g10
NtRp105785
(dp105786
g13
Nsg14
Nsg15
VFALSE
p105787
sbNNNNNNNg8
(g9
g10
NtRp105788
(dp105789
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105790
(dp105791
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105792
(dp105793
g13
Nsg14
Nsg15
Veea_v_3035_10_km_eea-ref-grid-pt-30_2013
p105794
sbNNtp105795
a(g8
(g9
g10
NtRp105796
(dp105797
g13
Nsg14
Nsg15
Vcc36fcc1-7d1e-498d-8232-46637bfc2177f
p105798
sbNg8
(g9
g10
NtRp105799
(dp105800
g13
Nsg14
Nsg15
VEEA reference grid for Canary Islands (10km), May 2013
p105801
sbNNNNNg8
(g9
g10
NtRp105802
(dp105803
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105804
sbNNg8
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g10
NtRp105805
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g13
Nsg14
Nsg15
VFALSE
p105807
sbNNNg8
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g10
NtRp105808
(dp105809
g13
Nsg14
Nsg15
VFALSE
p105810
sbNNg8
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g10
NtRp105811
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g13
Nsg14
Nsg15
VFALSE
p105813
sbNNg8
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NtRp105814
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g13
Nsg14
Nsg15
VFALSE
p105816
sbNg8
(g9
g10
NtRp105817
(dp105818
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc36fcc1-7d1e-498d-8232-46637bfc2177f.png
p105819
sbg8
(g9
g10
NtRp105820
(dp105821
g13
Nsg14
Nsg15
VEPSG:3035
p105822
sbg8
(g9
g10
NtRp105823
(dp105824
g13
Nsg14
Nsg15
V2019-06-21
p105825
sbNg8
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g10
NtRp105826
(dp105827
g13
Nsg14
Nsg15
VGeographical grid systems
p105828
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NtRp105829
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g13
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Nsg15
Vgridding
p105831
sbg8
(g9
g10
NtRp105832
(dp105833
g13
Nsg14
Nsg15
Vvector
p105834
sbg8
(g9
g10
NtRp105835
(dp105836
g13
Nsg14
Nsg15
VSHP
p105837
sbNg8
(g9
g10
NtRp105838
(dp105839
g13
Nsg14
Nsg15
V10000m
p105840
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g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105843
sbg8
(g9
g10
NtRp105844
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g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc36fcc1-7d1e-498d-8232-46637bfc2177f
p105846
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g13
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VFALSE
p105849
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NtRp105850
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g13
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p105852
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g10
NtRp105853
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g13
Nsg14
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VFALSE
p105855
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g13
Nsg14
Nsg15
VEuropean Environment Agency
p105858
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NtRp105859
(dp105860
g13
Nsg14
Nsg15
VFALSE
p105861
sbNNNNNNNg8
(g9
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NtRp105862
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g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105864
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g13
Nsg14
Nsg15
V
sbNNg8
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g13
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Veea_v_3035_10_km_eea-ref-grid-ic_2013
p105868
sbNNtp105869
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Vb1d025b8-df6b-4085-b0ac-0273edd92c57f
p105872
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g13
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VEEA reference grid for Canary Islands (100km), May 2013
p105875
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NtRp105876
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g13
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VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105878
sbNNg8
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NtRp105879
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g13
Nsg14
Nsg15
VFALSE
p105881
sbNNNg8
(g9
g10
NtRp105882
(dp105883
g13
Nsg14
Nsg15
VFALSE
p105884
sbNNg8
(g9
g10
NtRp105885
(dp105886
g13
Nsg14
Nsg15
VFALSE
p105887
sbNNg8
(g9
g10
NtRp105888
(dp105889
g13
Nsg14
Nsg15
VFALSE
p105890
sbNg8
(g9
g10
NtRp105891
(dp105892
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1d025b8-df6b-4085-b0ac-0273edd92c57f.png
p105893
sbg8
(g9
g10
NtRp105894
(dp105895
g13
Nsg14
Nsg15
VEPSG:3035
p105896
sbg8
(g9
g10
NtRp105897
(dp105898
g13
Nsg14
Nsg15
V2019-06-21
p105899
sbNg8
(g9
g10
NtRp105900
(dp105901
g13
Nsg14
Nsg15
VGeographical grid systems
p105902
sbg8
(g9
g10
NtRp105903
(dp105904
g13
Nsg14
Nsg15
Vgridding
p105905
sbg8
(g9
g10
NtRp105906
(dp105907
g13
Nsg14
Nsg15
Vvector
p105908
sbg8
(g9
g10
NtRp105909
(dp105910
g13
Nsg14
Nsg15
VSHP
p105911
sbNg8
(g9
g10
NtRp105912
(dp105913
g13
Nsg14
Nsg15
V100000m
p105914
sbNg8
(g9
g10
NtRp105915
(dp105916
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105917
sbg8
(g9
g10
NtRp105918
(dp105919
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1d025b8-df6b-4085-b0ac-0273edd92c57f
p105920
sbNNg8
(g9
g10
NtRp105921
(dp105922
g13
Nsg14
Nsg15
VFALSE
p105923
sbNg8
(g9
g10
NtRp105924
(dp105925
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p105926
sbg8
(g9
g10
NtRp105927
(dp105928
g13
Nsg14
Nsg15
VFALSE
p105929
sbg8
(g9
g10
NtRp105930
(dp105931
g13
Nsg14
Nsg15
VEuropean Environment Agency
p105932
sbg8
(g9
g10
NtRp105933
(dp105934
g13
Nsg14
Nsg15
VFALSE
p105935
sbNNNNNNNg8
(g9
g10
NtRp105936
(dp105937
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp105938
(dp105939
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp105940
(dp105941
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-ic_2013
p105942
sbNNtp105943
a(g8
(g9
g10
NtRp105944
(dp105945
g13
Nsg14
Nsg15
V2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff
p105946
sbNg8
(g9
g10
NtRp105947
(dp105948
g13
Nsg14
Nsg15
VEEA reference grid for Canary Islands (1km), May 2013
p105949
sbNNNNNg8
(g9
g10
NtRp105950
(dp105951
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p105952
sbNNg8
(g9
g10
NtRp105953
(dp105954
g13
Nsg14
Nsg15
VFALSE
p105955
sbNNNg8
(g9
g10
NtRp105956
(dp105957
g13
Nsg14
Nsg15
VFALSE
p105958
sbNNg8
(g9
g10
NtRp105959
(dp105960
g13
Nsg14
Nsg15
VFALSE
p105961
sbNNg8
(g9
g10
NtRp105962
(dp105963
g13
Nsg14
Nsg15
VFALSE
p105964
sbNg8
(g9
g10
NtRp105965
(dp105966
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff.png
p105967
sbg8
(g9
g10
NtRp105968
(dp105969
g13
Nsg14
Nsg15
VEPSG:3035
p105970
sbg8
(g9
g10
NtRp105971
(dp105972
g13
Nsg14
Nsg15
V2019-06-21
p105973
sbNg8
(g9
g10
NtRp105974
(dp105975
g13
Nsg14
Nsg15
VGeographical grid systems
p105976
sbg8
(g9
g10
NtRp105977
(dp105978
g13
Nsg14
Nsg15
Vgridding
p105979
sbg8
(g9
g10
NtRp105980
(dp105981
g13
Nsg14
Nsg15
Vvector
p105982
sbg8
(g9
g10
NtRp105983
(dp105984
g13
Nsg14
Nsg15
VSHP
p105985
sbNg8
(g9
g10
NtRp105986
(dp105987
g13
Nsg14
Nsg15
V1000m
p105988
sbNg8
(g9
g10
NtRp105989
(dp105990
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p105991
sbg8
(g9
g10
NtRp105992
(dp105993
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff
p105994
sbNNg8
(g9
g10
NtRp105995
(dp105996
g13
Nsg14
Nsg15
VFALSE
p105997
sbNg8
(g9
g10
NtRp105998
(dp105999
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106000
sbg8
(g9
g10
NtRp106001
(dp106002
g13
Nsg14
Nsg15
VFALSE
p106003
sbg8
(g9
g10
NtRp106004
(dp106005
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106006
sbg8
(g9
g10
NtRp106007
(dp106008
g13
Nsg14
Nsg15
VFALSE
p106009
sbNNNNNNNg8
(g9
g10
NtRp106010
(dp106011
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106012
(dp106013
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106014
(dp106015
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-ic_2013
p106016
sbNNtp106017
a(g8
(g9
g10
NtRp106018
(dp106019
g13
Nsg14
Nsg15
Vb96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f
p106020
sbNg8
(g9
g10
NtRp106021
(dp106022
g13
Nsg14
Nsg15
VEEA reference grid for Azores (1km), May 2013
p106023
sbNNNNNg8
(g9
g10
NtRp106024
(dp106025
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p106026
sbNNg8
(g9
g10
NtRp106027
(dp106028
g13
Nsg14
Nsg15
VFALSE
p106029
sbNNNg8
(g9
g10
NtRp106030
(dp106031
g13
Nsg14
Nsg15
VFALSE
p106032
sbNNg8
(g9
g10
NtRp106033
(dp106034
g13
Nsg14
Nsg15
VFALSE
p106035
sbNNg8
(g9
g10
NtRp106036
(dp106037
g13
Nsg14
Nsg15
VFALSE
p106038
sbNg8
(g9
g10
NtRp106039
(dp106040
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f.png
p106041
sbg8
(g9
g10
NtRp106042
(dp106043
g13
Nsg14
Nsg15
VEPSG:3035
p106044
sbg8
(g9
g10
NtRp106045
(dp106046
g13
Nsg14
Nsg15
V2019-06-21
p106047
sbNg8
(g9
g10
NtRp106048
(dp106049
g13
Nsg14
Nsg15
VGeographical grid systems
p106050
sbg8
(g9
g10
NtRp106051
(dp106052
g13
Nsg14
Nsg15
Vgridding
p106053
sbg8
(g9
g10
NtRp106054
(dp106055
g13
Nsg14
Nsg15
Vvector
p106056
sbg8
(g9
g10
NtRp106057
(dp106058
g13
Nsg14
Nsg15
VSHP
p106059
sbNg8
(g9
g10
NtRp106060
(dp106061
g13
Nsg14
Nsg15
V1000m
p106062
sbNg8
(g9
g10
NtRp106063
(dp106064
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p106065
sbg8
(g9
g10
NtRp106066
(dp106067
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f
p106068
sbg8
(g9
g10
NtRp106069
(dp106070
g13
Nsg14
g74
sg15
V2013
p106071
sbg8
(g9
g10
NtRp106072
(dp106073
g13
Nsg14
g74
sg15
V2013
p106074
sbg8
(g9
g10
NtRp106075
(dp106076
g13
Nsg14
Nsg15
VFALSE
p106077
sbNg8
(g9
g10
NtRp106078
(dp106079
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106080
sbg8
(g9
g10
NtRp106081
(dp106082
g13
Nsg14
Nsg15
VFALSE
p106083
sbg8
(g9
g10
NtRp106084
(dp106085
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106086
sbg8
(g9
g10
NtRp106087
(dp106088
g13
Nsg14
Nsg15
VFALSE
p106089
sbNNNNNNNg8
(g9
g10
NtRp106090
(dp106091
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106092
(dp106093
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106094
(dp106095
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt-20_2013
p106096
sbNNtp106097
a(g8
(g9
g10
NtRp106098
(dp106099
g13
Nsg14
Nsg15
Vfbd91951-43eb-4718-bccc-2b06f7a49c46f
p106100
sbNg8
(g9
g10
NtRp106101
(dp106102
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (100km), May 2013
p106103
sbNNNNNg8
(g9
g10
NtRp106104
(dp106105
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p106106
sbNNg8
(g9
g10
NtRp106107
(dp106108
g13
Nsg14
Nsg15
VFALSE
p106109
sbNNNg8
(g9
g10
NtRp106110
(dp106111
g13
Nsg14
Nsg15
VFALSE
p106112
sbNNg8
(g9
g10
NtRp106113
(dp106114
g13
Nsg14
Nsg15
VFALSE
p106115
sbNNg8
(g9
g10
NtRp106116
(dp106117
g13
Nsg14
Nsg15
VFALSE
p106118
sbNg8
(g9
g10
NtRp106119
(dp106120
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbd91951-43eb-4718-bccc-2b06f7a49c46f.png
p106121
sbg8
(g9
g10
NtRp106122
(dp106123
g13
Nsg14
Nsg15
VEPSG:3035
p106124
sbg8
(g9
g10
NtRp106125
(dp106126
g13
Nsg14
Nsg15
V2019-07-01
p106127
sbNg8
(g9
g10
NtRp106128
(dp106129
g13
Nsg14
Nsg15
VGeographical grid systems
p106130
sbg8
(g9
g10
NtRp106131
(dp106132
g13
Nsg14
Nsg15
Vgridding
p106133
sbg8
(g9
g10
NtRp106134
(dp106135
g13
Nsg14
Nsg15
Vvector
p106136
sbg8
(g9
g10
NtRp106137
(dp106138
g13
Nsg14
Nsg15
VSHP
p106139
sbNg8
(g9
g10
NtRp106140
(dp106141
g13
Nsg14
Nsg15
V100000m
p106142
sbNg8
(g9
g10
NtRp106143
(dp106144
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p106145
sbg8
(g9
g10
NtRp106146
(dp106147
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbd91951-43eb-4718-bccc-2b06f7a49c46f
p106148
sbg8
(g9
g10
NtRp106149
(dp106150
g13
Nsg14
g74
sg15
V2013
p106151
sbg8
(g9
g10
NtRp106152
(dp106153
g13
Nsg14
g74
sg15
V2013
p106154
sbg8
(g9
g10
NtRp106155
(dp106156
g13
Nsg14
Nsg15
VFALSE
p106157
sbNg8
(g9
g10
NtRp106158
(dp106159
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106160
sbg8
(g9
g10
NtRp106161
(dp106162
g13
Nsg14
Nsg15
VFALSE
p106163
sbg8
(g9
g10
NtRp106164
(dp106165
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106166
sbg8
(g9
g10
NtRp106167
(dp106168
g13
Nsg14
Nsg15
VFALSE
p106169
sbNNNNNNNg8
(g9
g10
NtRp106170
(dp106171
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106172
(dp106173
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106174
(dp106175
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-pt-30_2013
p106176
sbNNtp106177
a(g8
(g9
g10
NtRp106178
(dp106179
g13
Nsg14
Nsg15
V4c600ff2-5110-41b4-8267-821a880e8561
p106180
sbNg8
(g9
g10
NtRp106181
(dp106182
g13
Nsg14
Nsg15
VAdministrative units from EuroBoundaryMap and GAUL (raster 1000m)
p106183
sbNNNNNg8
(g9
g10
NtRp106184
(dp106185
g13
Nsg14
Nsg15
VThis dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 1000m resolution. For countries not covered by EuroBoundaryMap, GAUL1 (Global administrative unit layers) administrative units have been used to complement the geographical coverage. In a final step, the raster layer has been patched with *grown* GAUL0 administrative units, in order to cover remaining Corine Land Cover v15  data areas in classes 111 to 522.\u000aThe attribute table corresponding to the dataset is available in the file EBMv5_G2008_Regions_min_1ha_111_522_legend_final
p106186
sbNNg8
(g9
g10
NtRp106187
(dp106188
g13
Nsg14
Nsg15
VFALSE
p106189
sbNNNg8
(g9
g10
NtRp106190
(dp106191
g13
Nsg14
Nsg15
VFALSE
p106192
sbNNg8
(g9
g10
NtRp106193
(dp106194
g13
Nsg14
Nsg15
VFALSE
p106195
sbNNg8
(g9
g10
NtRp106196
(dp106197
g13
Nsg14
Nsg15
VFALSE
p106198
sbNg8
(g9
g10
NtRp106199
(dp106200
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c600ff2-5110-41b4-8267-821a880e8561.png
p106201
sbg8
(g9
g10
NtRp106202
(dp106203
g13
Nsg14
Nsg15
VEPSG:3035
p106204
sbg8
(g9
g10
NtRp106205
(dp106206
g13
Nsg14
Nsg15
V2019-06-04
p106207
sbNg8
(g9
g10
NtRp106208
(dp106209
g13
Nsg14
Nsg15
VAdministrative units
p106210
sbg8
(g9
g10
NtRp106211
(dp106212
g13
Nsg14
Nsg15
Vadministrative boundary
p106213
sbg8
(g9
g10
NtRp106214
(dp106215
g13
Nsg14
Nsg15
Vgrid
p106216
sbg8
(g9
g10
NtRp106217
(dp106218
g13
Nsg14
Nsg15
VGTiff
p106219
sbNg8
(g9
g10
NtRp106220
(dp106221
g13
Nsg14
Nsg15
V1000m
p106222
sbNg8
(g9
g10
NtRp106223
(dp106224
g13
Nsg14
Nsg15
VRefer to EBMv5_G2008_Regions_min_1ha_111-522.README for a more readable description.\u000a\u000a\u000a# README file about the generation of the admin boundary layer \u000a# used in the LEAC cube for Corine Land Cover (CLC) v15 data\u000a#\u000a# Hermann, March 2012\u000a\u000a\u000a================================\u000a0. Input data and GIS tools used\u000a================================\u000a\u000a\u000aA) Data\u000a\u000aEuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011 (short name: EBM_v5)\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d\u000a\u000aGlobal Administrative Unit Layers (GAUL), national level (level 0) for reference year 2008 - version 2009, Dec. 2008 (short name: GAUL2008/GAUL0)\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=074b8e76-5e49-467c-aa30-ed013afd41a9\u000a\u000aGlobal Administrative Unit Layers (GAUL), first level (level 1) for reference year 2008 - version 2009, Dec. 2008  (short name: GAUL2008/GAUL1)\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=5f9a77a6-8f6f-4551-a158-82e138336a6f\u000a\u000aCorine Land Cover 1990 (raster 100m) - version 15, Aug. 2011\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=4ead9faf-5732-4dd2-aaf1-4b10db063fe9\u000a\u000aCorine Land Cover 2000 (raster 100m) - version 15, Aug. 2011\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=38068464-b303-4221-a7e5-fec4473c3267\u000a\u000aCorine Land Cover 2006 (raster 100m) - version 15, Aug. 2011\u000ahttp://sdi.eea.europa.eu/internal-catalogue/?uuid=87a1e572-e9fa-4090-803a-eb576ddff644\u000a\u000a\u000aB) GIS tools\u000a\u000aogr2ogr and gdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org\u000aSource code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk)\u000a\u000aGRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/\u000aSource code for version 6.4.2svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk)\u000a\u000aAll data processing was carried out on a Debian Linux 64-bit system (EEA server name: whitefish)\u000aCommand line tools used for executing scripts: bash 4.1.5 and gawk 4.0.0\u000a\u000a\u000a==============================================================================\u000a1. Selection and rasterization of EBM_v5 and GAUL features into GeoTIFF format\u000a==============================================================================\u000a\u000a\u000aThe chosen approach is a quite detailed selection of individual features from the input vector layers.\u000aThe purpose is to give different raster values to different feature types, so that later, the rasterised\u000afeatures can be patched together and potentially re-classified as needed (also for non-LEAC use cases).\u000a\u000a\u000aA) Selection of features from EBM_v5, re-projection to LAEA (EPSG:3035)\u000a\u000a# Vector 1: NUTS3 regions from NUTS_3, where country code (ICC) is not NULL, add RID = FID + 1000\u000aogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_NUTS_3.shp StatisticalRegions/NUTS_3.shp -lco ENCODING=UTF-8 \u005c\u000a	-sql "select ICC,NUTS_CODE,NUTS_LABEL,cast(FID+1000 as integer(8)) as RID from NUTS_3 where ICC is not NULL"\u000a\u000a# Vector 2: Inland water from EBM_A, TAA = 7; left join EBM_NUTS.dbf to get the NUTS3 code\u000a#           create a tmp file first, which will be joined with Vector 1, in order to get the RID for the NUTS3 region\u000aogr2ogr -t_srs epsg:3035 $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \u005c\u000a	-sql "select EBM_A.ICC as ICC,EBM_A.SHN as SHN,TAA,NUTS1,NUTS2,NUTS3 \u005c\u000a	from EBM_A left join 'EBM_NUTS.dbf'.EBM_NUTS on EBM_A.SHN = EBM_NUTS.SHN where TAA = 7"\u000a\u000a# Generate final Vector 2 shapefile, including RID\u000aogr2ogr $OUTDIR/EBMv5_EBM_A_TAA-EQ7.shp $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp -lco ENCODING=UTF-8 \u005c\u000a	-sql "select E.*,N.NUTS_CODE,N.RID from 'tmp_EBMv5_EBM_A_TAA-EQ7' E \u005c\u000a	left join '$OUTDIR/EBMv5_NUTS_3.dbf'.EBMv5_NUTS_3 N on E.NUTS3 = N.NUTS_CODE"\u000a\u000a# Vector 3a: FullEurope, TAA = 1,3,4,7\u000aogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \u005c\u000a	-sql "select SHN,TAA,ICC from EBM_A	where TAA < 5 or TAA = 7"\u000a\u000a# Vector 3b: Add Kosovo and Serbia, TAA = 1,3,4,7\u000aogr2ogr	-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp \u005c\u000a	-sql "select SHN,TAA,ICC from EBM_A where TAA < 5 or TAA = 7" \u005c\u000a	-update -append # -nln EBMv5_EBM_A_TAA-LT5orEQ7\u000a\u000a# Vector 4a: Administrative Units for Kosovo\u000aogr2ogr	-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp -lco ENCODING=UTF-8 \u005c\u000a	-sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+3000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'KS'"\u000a\u000a# Vector 4b: Add Administrative Units for Serbia\u000aogr2ogr	-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_3.shp \u005c\u000a	-sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+4000 as integer(8)) as RID from AdministrativeUnit_3 where ICC = 'RS'" \u005c\u000a	-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\u000a\u000a# Vector 4c: Add Administrative Units for Moldova\u000aogr2ogr	-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \u005c\u000a	-sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'MD'" \u005c\u000a	-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\u000a\u000a# Vector 4d: Add Administrative Units for Ukraine\u000aogr2ogr	-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \u005c\u000a    -sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'UA'" \u005c\u000a	-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\u000a\u000a\u000aB) Rasterisation of selected EBM_v5 features, in 1km resolution\u000a\u000a# Raster 1: NUTS3 regions by RID\u000agdal_rasterize EBMv5_NUTS_3.shp EBMv5_NUTS_3_NUTS3.tif \u005c\u000a	-tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a   RID -a_nodata 0 -co compress=deflate -co tiled=yes\u000a\u000a# Raster 2: inland water areas, by N.RID = RID of their NUTS3 region\u000agdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_NUTS3.tif \u005c\u000a	-tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a N.RID -a_nodata 0 -co compress=deflate -co tiled=yes \u005c\u000a\u000a# Raster 3: inland water areas, by country code (8000..8999)\u000a\u000a# a) Initialise GeoTIFF, by burning 1st inland water country code\u000agdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \u005c\u000a	-tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \u005c\u000a	-burn 8003 -where "E.ICC = 'ND'"\u000a\u000a# b) Burn remaining inland water country codes into the same GeoTIFF\u000aawk 'NR > 4 { print $1, $2 - 1000 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt |\u000awhile read code num ; do\u000a	gdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \u005c\u000a	-burn $num -where "E.ICC = '$code'"\u000adone\u000a\u000a# Raster 4: main and inland water areas, by country code (9000..9999)\u000a\u000a# a) Initialise GeoTIFF, by burning 1st country code\u000agdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \u005c\u000a	-tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \u005c\u000a	-burn 9003 -where "ICC = 'ND'"\u000a\u000a# b) Burn remaining country codes into the same GeoTIFF\u000aawk 'NR > 4 { print $1, $2 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt |\u000awhile read code num ; do\u000a	gdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \u005c\u000a	-burn $num -where "ICC = '$code'"\u000adone\u000a\u000a# Raster 5: Administrative Units regions by RID\u000agdal_rasterize EBMv5_EBM_A_AdministrativeUnits.shp EBMv5_EBM_A_AdministrativeUnits_AU.tif \u005c\u000a	-tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a RID -a_nodata 0 -co compress=deflate -co tiled=yes\u000a\u000a\u000aC) Selection of features from GAUL2008, re-projection to LAEA (EPSG:3035)\u000a\u000a# GAUL2008/GAUL1: select all areas which are not disputed\u000aogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_1.shp /home/peifer/gaul/unzipped/g2008_1.shp \u005c\u000a	-sql "select g1.*,ia.*,cast(ADM1_CODE+10000 as integer(8)) as RID from g2008_1 g1 \u005c\u000a	left join 'international_country_attributes.dbf'.international_country_attributes ia on g1.ADM0_CODE = ia.ADM0_CODE \u005c\u000a	where g1.DISP_AREA is NULL" -lco ENCODING=UTF-8 -overwrite\u000a\u000a# GAUL2008/GAUL0: select all areas which are not disputed\u000aogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_0.shp /home/peifer/gaul/unzipped/g2008_0.shp \u005c\u000a	-sql "select g0.*,ia.*,cast(ADM0_CODE+100000 as integer(8)) as RID from g2008_0 g0 \u005c\u000a	left join 'international_country_attributes.dbf'.international_country_attributes ia on g0.ADM0_CODE = ia.ADM0_CODE \u005c\u000a	where g0.DISP_AREA is NULL" -lco ENCODING=UTF-8 -overwrite\u000a\u000a\u000aD) Rasterisation of selected GAUL features, in 1km resolution\u000a\u000a# GAUL2008/GAUL1\u000agdal_rasterize g2008_1.shp g2008_1.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID\u000a\u000a# GAUL2008/GAUL0\u000agdal_rasterize g2008_0.shp g2008_0.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \u005c\u000a	-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID\u000a\u000a\u000a===================================================================================\u000a2. Import of generated GeoTIFFs into GRASS database, growth of GAUL2008/GAUL0 layer\u000a===================================================================================\u000a\u000a\u000aA) Import of all GeoTIFFs from step 1 into GRASS\u000a\u000a# Start GRASS, change to the directory where the GeoTIFFs are\u000afor f in *.tif ; do\u000a	r.in.gdal $f out=${f%.tif} --o\u000adone\u000a\u000a\u000aB) Growth of GAUL2008/GAUL0 layer\u000a \u000a# Generate GAUL0_PLUS1KM\u000ar.grow g2008_0 out=GAUL0_PLUS1KM --o\u000a\u000a# Let GAUL0_PLUS1KM grow..\u000afor i in {1..184} ; do\u000a  echo "GAUL0 PLUS $i KM +++ $(date)" && echo &&\u000a  r.grow GAUL0_PLUS${i}KM out=GAUL0_PLUS$(( $i + 1 ))KM --o\u000a  g.remove GAUL0_PLUS${i}KM\u000adone\u000a\u000a\u000a\u000a===================================================================================\u000a3. Patch imported raster layers together, generate final products for the LEAC cube\u000a===================================================================================\u000a\u000a\u000aA) Generate a patchwork of raster layers, as admin boundary layer for the LEAC cube\u000a\u000ar.patch   input=EBMv5_NUTS_3_NUTS3,EBMv5_EBM_A_TAA-EQ7_NUTS3,EBMv5_EBM_A_TAA-EQ7_ICC,\u005c\u000a		EBMv5_EBM_A_AdministrativeUnits_AU,EBMv5_EBM_A_TAA-LT5orEQ7_ICC,\u005c\u000a		g2008_1,GAUL0_PLUS185KM output=EBMv5.G2008.Regions_min_1ha_111-522\u000a\u000a\u000a\u000aB) Apply a MASK to cut the generated patchwork back to the extent of CLC version 15 raster data (100m)\u000a\u000a# The MASK itself is in 1000m resolution and covers all areas that have at least 1 ha class 111..522 data\u000a# in the earlier generated LEAC layers: FK90, FK00 or clc06 (FK90 and FK00 layers are documented separately)\u000ar.mask rast=laea_grid.FK90_FK00_clc06.min_1ha_111-522\u000a\u000a\u000aC) Generate sorted tabular output for the LEAC cube\u000a\u000ar.stats --q -c laea_grid,EBMv5.G2008.Regions_min_1ha_111-522 | awk -f filter.awk |\u000a	sort > laea_grid_EBMv5_G2008_Regions_min_1ha_111-522.sorted\u000a\u000aThe result is a text file with 5942628 rows and 3 columns. The first 10 records look like this:\u000a\u000aGridNum         GridCode        ADM_ID\u000a115471032       1kmE1547N1032   12720\u000a115471033       1kmE1547N1033   1076\u000a115471034       1kmE1547N1034   12720\u000a115481031       1kmE1548N1031   1076\u000a115481032       1kmE1548N1032   1076\u000a115481033       1kmE1548N1033   1076\u000a115481034       1kmE1548N1034   1076\u000a115481035       1kmE1548N1035   12720\u000a115481036       1kmE1548N1036   12720\u000a\u000aCodes and names for all ADM_ID values, and the parent/child relationship of all regions,\u000aas used in the LEAC cube is documented in: EBMv5_G2008_Regions_min_1ha_111_522_legend_final\u000a\u000a\u000aD) Generate GeoTIFF output for other purposes\u000a\u000ar.out.gdal EBMv5.G2008.Regions_min_1ha_111-522 createopt=compress=deflate,tiled=yes \u005c\u000a	nodata=0 out=EBMv5_G2008_Regions_min_1ha_111-522.tif\u000a\u000a\u000a*** END OF DOCUMENTATION ***
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VGISCO is a Eurostat service which promotes and stimulates the use of GIS within the European Statistical System and the Commission. It is responsible for the management and dissemination of the Geographical reference database of the Commission. It produces maps, spatial analysis, promotes geo-referencing of statistics and provides user support for Commission users of GIS.\u000aGISCO is one of the leaders of the INSPIRE initiative, supporting the implementation of the directive for the establishment of a European Spatial Data Infrastructure.\u000aThe datasets extracted from GISCO in August 2012 are for the year 2010:\u000a  + Administrative boundaries at country level\u000a  + Coastlines\u000a  + Communes\u000a  + EEZ\u000a  + NUTS\u000a  \u000aThese metadata are derived from the original metadata records available at Inspire@EC.
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VThe dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c
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VThis data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO" An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf\u000aAccess to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.
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VEuropean Commission, Eurostat (ESTAT), GISCO
p106317
sbg8
(g9
g10
NtRp106318
(dp106319
g13
Nsg14
Nsg15
VFALSE
p106320
sbNNNNNNNg8
(g9
g10
NtRp106321
(dp106322
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106323
(dp106324
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106325
(dp106326
g13
Nsg14
Nsg15
Veurostat_v_4258_x_x_gisco_20120817
p106327
sbNNtp106328
a(g8
(g9
g10
NtRp106329
(dp106330
g13
Nsg14
Nsg15
V14a2fec1-fea8-4452-bf87-969e39c942cd
p106331
sbNg8
(g9
g10
NtRp106332
(dp106333
g13
Nsg14
Nsg15
VGeographic Information System of the European Commission (GISCO), Dec. 2015
p106334
sbNNNNNg8
(g9
g10
NtRp106335
(dp106336
g13
Nsg14
Nsg15
VGISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at 3 levels: the European Union, its member countries, and its regions.\u000aIn addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. \u000aThe datasets extracted from GISCO in its 2013 release and include in the EEA catalogue of geospatial datasets are:\u000a  + Administrative boundaries at country level (COUNTRIES 2013) at 1:100.000 scale\u000a  + Communes (COMMUNES 2013) at 1:100.000 scale\u000a  + NUTS (NUTS 2013) at 1:100.000 scale
p106337
sbNNg8
(g9
g10
NtRp106338
(dp106339
g13
Nsg14
Nsg15
VFALSE
p106340
sbNNNg8
(g9
g10
NtRp106341
(dp106342
g13
Nsg14
Nsg15
VFALSE
p106343
sbNNg8
(g9
g10
NtRp106344
(dp106345
g13
Nsg14
Nsg15
VFALSE
p106346
sbNNg8
(g9
g10
NtRp106347
(dp106348
g13
Nsg14
Nsg15
VFALSE
p106349
sbNg8
(g9
g10
NtRp106350
(dp106351
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/14a2fec1-fea8-4452-bf87-969e39c942cd.png
p106352
sbNg8
(g9
g10
NtRp106353
(dp106354
g13
Nsg14
Nsg15
V2019-06-04
p106355
sbNg8
(g9
g10
NtRp106356
(dp106357
g13
Nsg14
Nsg15
VAdministrative units
p106358
sbg8
(g9
g10
NtRp106359
(dp106360
g13
Nsg14
Nsg15
Vadministrative boundary
p106361
sbg8
(g9
g10
NtRp106362
(dp106363
g13
Nsg14
Nsg15
Vvector
p106364
sbg8
(g9
g10
NtRp106365
(dp106366
g13
Nsg14
Nsg15
VFGeo
p106367
sbNg8
(g9
g10
NtRp106368
(dp106369
g13
Nsg14
Nsg15
V1:100000
p106370
sbNg8
(g9
g10
NtRp106371
(dp106372
g13
Nsg14
Nsg15
VThe dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. \u000aMore information on the lineage of the different datasets can be found in their respective metadata files.
p106373
sbg8
(g9
g10
NtRp106374
(dp106375
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14a2fec1-fea8-4452-bf87-969e39c942cd
p106376
sbNNg8
(g9
g10
NtRp106377
(dp106378
g13
Nsg14
Nsg15
VFALSE
p106379
sbNg8
(g9
g10
NtRp106380
(dp106381
g13
Nsg14
Nsg15
VEurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright.  Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en)\u000a\u000aMoreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. \u000a\u000aThe European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.
p106382
sbg8
(g9
g10
NtRp106383
(dp106384
g13
Nsg14
Nsg15
VFALSE
p106385
sbg8
(g9
g10
NtRp106386
(dp106387
g13
Nsg14
Nsg15
VEuropean Commission, Eurostat (ESTAT), GISCO
p106388
sbg8
(g9
g10
NtRp106389
(dp106390
g13
Nsg14
Nsg15
VFALSE
p106391
sbNNNNNNNg8
(g9
g10
NtRp106392
(dp106393
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106394
(dp106395
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106396
(dp106397
g13
Nsg14
Nsg15
Veurostat_v_4258_x_x_gisco_2013
p106398
sbNNtp106399
a(g8
(g9
g10
NtRp106400
(dp106401
g13
Nsg14
Nsg15
Vd84256cd-61f4-43dd-9a8d-5442aa54fbe3
p106402
sbNg8
(g9
g10
NtRp106403
(dp106404
g13
Nsg14
Nsg15
VPopulation density disaggregated with Corine land cover 2000
p106405
sbNNNNNg8
(g9
g10
NtRp106406
(dp106407
g13
Nsg14
Nsg15
VRaster data on population density using Corine Land Cover 2000 inventory. Data are available at 100 meters resolution.
p106408
sbg8
(g23
g10
NtRp106409
(dp106410
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/population-density-disaggregated-with-corine-land-cover-2000-2
p106411
sbNg8
(g9
g10
NtRp106412
(dp106413
g13
Nsg14
Nsg15
VFALSE
p106414
sbNNNg8
(g9
g10
NtRp106415
(dp106416
g13
Nsg14
Nsg15
VFALSE
p106417
sbNNg8
(g9
g10
NtRp106418
(dp106419
g13
Nsg14
Nsg15
VFALSE
p106420
sbNNg8
(g9
g10
NtRp106421
(dp106422
g13
Nsg14
Nsg15
VFALSE
p106423
sbNg8
(g9
g10
NtRp106424
(dp106425
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d84256cd-61f4-43dd-9a8d-5442aa54fbe3.png
p106426
sbg8
(g9
g10
NtRp106427
(dp106428
g13
Nsg14
Nsg15
VEPSG:3035
p106429
sbg8
(g9
g10
NtRp106430
(dp106431
g13
Nsg14
Nsg15
V2019-06-04
p106432
sbNg8
(g9
g10
NtRp106433
(dp106434
g13
Nsg14
Nsg15
VLand cover
p106435
sbNg8
(g9
g10
NtRp106436
(dp106437
g13
Nsg14
Nsg15
Vgrid
p106438
sbg8
(g9
g10
NtRp106439
(dp106440
g13
Nsg14
Nsg15
VGTiff
p106441
sbNg8
(g9
g10
NtRp106442
(dp106443
g13
Nsg14
Nsg15
V100m
p106444
sbNg8
(g9
g10
NtRp106445
(dp106446
g13
Nsg14
Nsg15
VGallego F.J., 2010, A population density grid of the European Union,\u000aPopulation and Environment. 31: 460-473\u000a\u000ahttp://www.springerlink.com/content/h22617v812p51014/?p=a5de0fad279b474187e630362f4f2fc8&pi=3
p106447
sbg8
(g9
g10
NtRp106448
(dp106449
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d84256cd-61f4-43dd-9a8d-5442aa54fbe3
p106450
sbNNg8
(g9
g10
NtRp106451
(dp106452
g13
Nsg14
Nsg15
VFALSE
p106453
sbNg8
(g9
g10
NtRp106454
(dp106455
g13
Nsg14
Nsg15
VNo limitations
p106456
sbg8
(g9
g10
NtRp106457
(dp106458
g13
Nsg14
Nsg15
VFALSE
p106459
sbg8
(g9
g10
NtRp106460
(dp106461
g13
Nsg14
Nsg15
VThe Joint Research Centre
p106462
sbg8
(g9
g10
NtRp106463
(dp106464
g13
Nsg14
Nsg15
VFALSE
p106465
sbNNNNNNNg8
(g9
g10
NtRp106466
(dp106467
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106468
(dp106469
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106470
(dp106471
g13
Nsg14
Nsg15
Veea_r_3035_100_m_popu01clc_2000_rev5
p106472
sbNNtp106473
a(g8
(g9
g10
NtRp106474
(dp106475
g13
Nsg14
Nsg15
V2d6f67b9-c912-4ba5-94ee-1af821a24729
p106476
sbNg8
(g9
g10
NtRp106477
(dp106478
g13
Nsg14
Nsg15
VCorine Land Cover 2006 with gap filling provided by CLC 2000 (raster 100m) - version 16, Apr. 2012
p106479
sbNNNNNg8
(g9
g10
NtRp106480
(dp106481
g13
Nsg14
Nsg15
VCorine Land Cover 2000 and 2006 have a different spatial coverage, Greece missing in CLC 2006. This dataset combines Corine Land Cover 2006 and Corine Land Cover 2000 in order to provide the largest spatial coverage with the most up-to-date data. Therefore where no CLC 2006 data were available, CLC 2000 data have been used.
p106482
sbNNg8
(g9
g10
NtRp106483
(dp106484
g13
Nsg14
Nsg15
VFALSE
p106485
sbNNNg8
(g9
g10
NtRp106486
(dp106487
g13
Nsg14
Nsg15
VFALSE
p106488
sbNNg8
(g9
g10
NtRp106489
(dp106490
g13
Nsg14
Nsg15
VFALSE
p106491
sbNNg8
(g9
g10
NtRp106492
(dp106493
g13
Nsg14
Nsg15
VFALSE
p106494
sbNg8
(g9
g10
NtRp106495
(dp106496
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d6f67b9-c912-4ba5-94ee-1af821a24729.png
p106497
sbg8
(g9
g10
NtRp106498
(dp106499
g13
Nsg14
Nsg15
VEPSG:3035
p106500
sbg8
(g9
g10
NtRp106501
(dp106502
g13
Nsg14
Nsg15
V2019-06-04
p106503
sbNg8
(g9
g10
NtRp106504
(dp106505
g13
Nsg14
Nsg15
VLand cover
p106506
sbNg8
(g9
g10
NtRp106507
(dp106508
g13
Nsg14
Nsg15
Vgrid
p106509
sbg8
(g9
g10
NtRp106510
(dp106511
g13
Nsg14
Nsg15
VGTiff
p106512
sbNg8
(g9
g10
NtRp106513
(dp106514
g13
Nsg14
Nsg15
V100m
p106515
sbNg8
(g9
g10
NtRp106516
(dp106517
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 2006 (raster 100m) - version 16, Apr. 2012 [clc06] and Corine Land Cover 2000 (raster 100m) - version 16, Apr. 2012 [clc00]\u000aThe rule used in GRASS was: r.mapcalc  clc06_clc00_100 = "clc06 <= 523 ? clc06 : clc00"
p106518
sbg8
(g9
g10
NtRp106519
(dp106520
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d6f67b9-c912-4ba5-94ee-1af821a24729
p106521
sbNNg8
(g9
g10
NtRp106522
(dp106523
g13
Nsg14
Nsg15
VFALSE
p106524
sbNg8
(g9
g10
NtRp106525
(dp106526
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106527
sbg8
(g9
g10
NtRp106528
(dp106529
g13
Nsg14
Nsg15
VFALSE
p106530
sbg8
(g9
g10
NtRp106531
(dp106532
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106533
sbg8
(g9
g10
NtRp106534
(dp106535
g13
Nsg14
Nsg15
VFALSE
p106536
sbNNNNNNNg8
(g9
g10
NtRp106537
(dp106538
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106539
(dp106540
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106541
(dp106542
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-combined_2000-2006_rev16
p106543
sbNNtp106544
a(g8
(g9
g10
NtRp106545
(dp106546
g13
Nsg14
Nsg15
V7353cada-14cf-4b0b-b46b-21702637497f
p106547
sbNg8
(g9
g10
NtRp106548
(dp106549
g13
Nsg14
Nsg15
VElevation Breakdown (raster 1 Km)
p106550
sbNNNNNg8
(g9
g10
NtRp106551
(dp106552
g13
Nsg14
Nsg15
VThis layer defines homogeneous areas as function of height, slope and distance to the sea. \u000aThe Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.
p106553
sbg8
(g23
g10
NtRp106554
(dp106555
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/elevation-breakdown
p106556
sbNg8
(g9
g10
NtRp106557
(dp106558
g13
Nsg14
Nsg15
VFALSE
p106559
sbNNNg8
(g9
g10
NtRp106560
(dp106561
g13
Nsg14
Nsg15
VFALSE
p106562
sbNNg8
(g9
g10
NtRp106563
(dp106564
g13
Nsg14
Nsg15
VFALSE
p106565
sbNNg8
(g9
g10
NtRp106566
(dp106567
g13
Nsg14
Nsg15
VFALSE
p106568
sbNg8
(g9
g10
NtRp106569
(dp106570
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/7353cada-14cf-4b0b-b46b-21702637497f.png
p106571
sbg8
(g9
g10
NtRp106572
(dp106573
g13
Nsg14
Nsg15
VEPSG:3035
p106574
sbg8
(g9
g10
NtRp106575
(dp106576
g13
Nsg14
Nsg15
V2019-06-04
p106577
sbNg8
(g9
g10
NtRp106578
(dp106579
g13
Nsg14
Nsg15
VElevation
p106580
sbNg8
(g9
g10
NtRp106581
(dp106582
g13
Nsg14
Nsg15
Vgrid
p106583
sbg8
(g9
g10
NtRp106584
(dp106585
g13
Nsg14
Nsg15
VGTiff
p106586
sbNg8
(g9
g10
NtRp106587
(dp106588
g13
Nsg14
Nsg15
V1000m
p106589
sbNg8
(g9
g10
NtRp106590
(dp106591
g13
Nsg14
Nsg15
VThis version of the Elvation Breakdown was created using the LEAC 1 Km grid as reference system. Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains (see enclosed PDF file for further details).
p106592
sbg8
(g9
g10
NtRp106593
(dp106594
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7353cada-14cf-4b0b-b46b-21702637497f
p106595
sbNNg8
(g9
g10
NtRp106596
(dp106597
g13
Nsg14
Nsg15
VFALSE
p106598
sbNg8
(g9
g10
NtRp106599
(dp106600
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106601
sbg8
(g9
g10
NtRp106602
(dp106603
g13
Nsg14
Nsg15
VFALSE
p106604
sbg8
(g9
g10
NtRp106605
(dp106606
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106607
sbg8
(g9
g10
NtRp106608
(dp106609
g13
Nsg14
Nsg15
VFALSE
p106610
sbNNNNNNNg8
(g9
g10
NtRp106611
(dp106612
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106613
(dp106614
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106615
(dp106616
g13
Nsg14
Nsg15
Veea_r_3035_1000_m_elevation-breakdown_2006
p106617
sbNNtp106618
a(g8
(g9
g10
NtRp106619
(dp106620
g13
Nsg14
Nsg15
V88d21578-4e7c-40d9-b2be-ad137a6a3bbd
p106621
sbNg8
(g9
g10
NtRp106622
(dp106623
g13
Nsg14
Nsg15
VConservation status of habitat types 2007-2012 aggregated at EU-27 level, Sep. 2014
p106624
sbNNNNNg8
(g9
g10
NtRp106625
(dp106626
g13
Nsg14
Nsg15
VGridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.
p106627
sbg8
(g23
g10
NtRp106628
(dp106629
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1
p106630
sbNg8
(g9
g10
NtRp106631
(dp106632
g13
Nsg14
Nsg15
VFALSE
p106633
sbNNNg8
(g9
g10
NtRp106634
(dp106635
g13
Nsg14
Nsg15
VFALSE
p106636
sbNNg8
(g9
g10
NtRp106637
(dp106638
g13
Nsg14
Nsg15
VFALSE
p106639
sbNNg8
(g9
g10
NtRp106640
(dp106641
g13
Nsg14
Nsg15
VFALSE
p106642
sbNg8
(g9
g10
NtRp106643
(dp106644
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/88d21578-4e7c-40d9-b2be-ad137a6a3bbd.png
p106645
sbg8
(g9
g10
NtRp106646
(dp106647
g13
Nsg14
Nsg15
VEPSG:3035
p106648
sbg8
(g9
g10
NtRp106649
(dp106650
g13
Nsg14
Nsg15
V2019-06-04
p106651
sbNg8
(g9
g10
NtRp106652
(dp106653
g13
Nsg14
Nsg15
VHabitats and biotopes
p106654
sbNg8
(g9
g10
NtRp106655
(dp106656
g13
Nsg14
Nsg15
Vvector
p106657
sbg8
(g9
g10
NtRp106658
(dp106659
g13
Nsg14
Nsg15
VSHP
p106660
sbNg8
(g9
g10
NtRp106661
(dp106662
g13
Nsg14
Nsg15
V1:10000000
p106663
sbNg8
(g9
g10
NtRp106664
(dp106665
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.
p106666
sbg8
(g9
g10
NtRp106667
(dp106668
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88d21578-4e7c-40d9-b2be-ad137a6a3bbd
p106669
sbNNg8
(g9
g10
NtRp106670
(dp106671
g13
Nsg14
Nsg15
VFALSE
p106672
sbNg8
(g9
g10
NtRp106673
(dp106674
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p106675
sbg8
(g9
g10
NtRp106676
(dp106677
g13
Nsg14
Nsg15
VFALSE
p106678
sbg8
(g9
g10
NtRp106679
(dp106680
g13
Nsg14
Nsg15
VEuropean Commission
p106681
sbg8
(g9
g10
NtRp106682
(dp106683
g13
Nsg14
Nsg15
VFALSE
p106684
sbNNNNNNNg8
(g9
g10
NtRp106685
(dp106686
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106687
(dp106688
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106689
(dp106690
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-hab-agg-eu27_2007-2012
p106691
sbNNtp106692
a(g8
(g9
g10
NtRp106693
(dp106694
g13
Nsg14
Nsg15
Vb9d6d212-7846-47d2-aed0-02665b6a9559
p106695
sbNg8
(g9
g10
NtRp106696
(dp106697
g13
Nsg14
Nsg15
VConservation status of habitat types 2007-2012 aggregated by Member State, Sep. 2014
p106698
sbNNNNNg8
(g9
g10
NtRp106699
(dp106700
g13
Nsg14
Nsg15
VGridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.
p106701
sbg8
(g23
g10
NtRp106702
(dp106703
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1
p106704
sbNg8
(g9
g10
NtRp106705
(dp106706
g13
Nsg14
Nsg15
VFALSE
p106707
sbNNNg8
(g9
g10
NtRp106708
(dp106709
g13
Nsg14
Nsg15
VFALSE
p106710
sbNNg8
(g9
g10
NtRp106711
(dp106712
g13
Nsg14
Nsg15
VFALSE
p106713
sbNNg8
(g9
g10
NtRp106714
(dp106715
g13
Nsg14
Nsg15
VFALSE
p106716
sbNg8
(g9
g10
NtRp106717
(dp106718
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9d6d212-7846-47d2-aed0-02665b6a9559.png
p106719
sbg8
(g9
g10
NtRp106720
(dp106721
g13
Nsg14
Nsg15
VEPSG:3035
p106722
sbg8
(g9
g10
NtRp106723
(dp106724
g13
Nsg14
Nsg15
V2019-06-04
p106725
sbNg8
(g9
g10
NtRp106726
(dp106727
g13
Nsg14
Nsg15
VHabitats and biotopes
p106728
sbNg8
(g9
g10
NtRp106729
(dp106730
g13
Nsg14
Nsg15
Vvector
p106731
sbg8
(g9
g10
NtRp106732
(dp106733
g13
Nsg14
Nsg15
VSHP
p106734
sbNg8
(g9
g10
NtRp106735
(dp106736
g13
Nsg14
Nsg15
V1:10000000
p106737
sbNg8
(g9
g10
NtRp106738
(dp106739
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.
p106740
sbg8
(g9
g10
NtRp106741
(dp106742
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9d6d212-7846-47d2-aed0-02665b6a9559
p106743
sbNNg8
(g9
g10
NtRp106744
(dp106745
g13
Nsg14
Nsg15
VFALSE
p106746
sbNg8
(g9
g10
NtRp106747
(dp106748
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p106749
sbg8
(g9
g10
NtRp106750
(dp106751
g13
Nsg14
Nsg15
VFALSE
p106752
sbg8
(g9
g10
NtRp106753
(dp106754
g13
Nsg14
Nsg15
VEuropean Commission
p106755
sbg8
(g9
g10
NtRp106756
(dp106757
g13
Nsg14
Nsg15
VFALSE
p106758
sbNNNNNNNg8
(g9
g10
NtRp106759
(dp106760
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106761
(dp106762
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106763
(dp106764
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-hab-agg-ms_2007-2012
p106765
sbNNtp106766
a(g8
(g9
g10
NtRp106767
(dp106768
g13
Nsg14
Nsg15
Vac815f97-786a-429e-8da9-f708be14a6d7
p106769
sbNg8
(g9
g10
NtRp106770
(dp106771
g13
Nsg14
Nsg15
VLand Accounts (LEAC) PHARE Data
p106772
sbNNNNNg8
(g9
g10
NtRp106773
(dp106774
g13
Nsg14
Nsg15
VLand Cover Accounts are part of the Land and Ecosystem Accounting project which deal with data on changes in land cover and land use and seek to trace the wider environmental, social and economic implications of these transformations.
p106775
sbg8
(g23
g10
NtRp106776
(dp106777
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/land-accounts-leac-phare-data
p106778
sbNg8
(g9
g10
NtRp106779
(dp106780
g13
Nsg14
Nsg15
VFALSE
p106781
sbNNNg8
(g9
g10
NtRp106782
(dp106783
g13
Nsg14
Nsg15
VFALSE
p106784
sbNNg8
(g9
g10
NtRp106785
(dp106786
g13
Nsg14
Nsg15
VFALSE
p106787
sbNNg8
(g9
g10
NtRp106788
(dp106789
g13
Nsg14
Nsg15
VFALSE
p106790
sbNg8
(g9
g10
NtRp106791
(dp106792
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac815f97-786a-429e-8da9-f708be14a6d7.png
p106793
sbg8
(g9
g10
NtRp106794
(dp106795
g13
Nsg14
Nsg15
VEPSG:3035
p106796
sbg8
(g9
g10
NtRp106797
(dp106798
g13
Nsg14
Nsg15
V2019-06-04
p106799
sbNg8
(g9
g10
NtRp106800
(dp106801
g13
Nsg14
Nsg15
VLand cover
p106802
sbNg8
(g9
g10
NtRp106803
(dp106804
g13
Nsg14
Nsg15
Vgrid
p106805
sbg8
(g9
g10
NtRp106806
(dp106807
g13
Nsg14
Nsg15
VAIG
p106808
sbNg8
(g9
g10
NtRp106809
(dp106810
g13
Nsg14
Nsg15
V100m
p106811
sbNg8
(g9
g10
NtRp106812
(dp106813
g13
Nsg14
Nsg15
Vn/a
p106814
sbg8
(g9
g10
NtRp106815
(dp106816
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac815f97-786a-429e-8da9-f708be14a6d7
p106817
sbNNg8
(g9
g10
NtRp106818
(dp106819
g13
Nsg14
Nsg15
VFALSE
p106820
sbNg8
(g9
g10
NtRp106821
(dp106822
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106823
sbg8
(g9
g10
NtRp106824
(dp106825
g13
Nsg14
Nsg15
VFALSE
p106826
sbg8
(g9
g10
NtRp106827
(dp106828
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106829
sbg8
(g9
g10
NtRp106830
(dp106831
g13
Nsg14
Nsg15
VFALSE
p106832
sbNNNNNNNg8
(g9
g10
NtRp106833
(dp106834
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106835
(dp106836
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106837
(dp106838
g13
Nsg14
Nsg15
Veea_r_3035_100_m_phare_1975-1990
p106839
sbNNtp106840
a(g8
(g9
g10
NtRp106841
(dp106842
g13
Nsg14
Nsg15
Vca27341a-b100-4466-92b6-ba13912c6f36f
p106843
sbNg8
(g9
g10
NtRp106844
(dp106845
g13
Nsg14
Nsg15
VEEA reference grid for Madeira (1km), May 2013
p106846
sbNNNNNg8
(g9
g10
NtRp106847
(dp106848
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p106849
sbNNg8
(g9
g10
NtRp106850
(dp106851
g13
Nsg14
Nsg15
VFALSE
p106852
sbNNNg8
(g9
g10
NtRp106853
(dp106854
g13
Nsg14
Nsg15
VFALSE
p106855
sbNNg8
(g9
g10
NtRp106856
(dp106857
g13
Nsg14
Nsg15
VFALSE
p106858
sbNNg8
(g9
g10
NtRp106859
(dp106860
g13
Nsg14
Nsg15
VFALSE
p106861
sbNg8
(g9
g10
NtRp106862
(dp106863
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/ca27341a-b100-4466-92b6-ba13912c6f36f.png
p106864
sbg8
(g9
g10
NtRp106865
(dp106866
g13
Nsg14
Nsg15
VEPSG:3035
p106867
sbg8
(g9
g10
NtRp106868
(dp106869
g13
Nsg14
Nsg15
V2019-07-01
p106870
sbNg8
(g9
g10
NtRp106871
(dp106872
g13
Nsg14
Nsg15
VGeographical grid systems
p106873
sbNg8
(g9
g10
NtRp106874
(dp106875
g13
Nsg14
Nsg15
Vvector
p106876
sbg8
(g9
g10
NtRp106877
(dp106878
g13
Nsg14
Nsg15
VSHP
p106879
sbNg8
(g9
g10
NtRp106880
(dp106881
g13
Nsg14
Nsg15
V1000m
p106882
sbNg8
(g9
g10
NtRp106883
(dp106884
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p106885
sbg8
(g9
g10
NtRp106886
(dp106887
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ca27341a-b100-4466-92b6-ba13912c6f36f
p106888
sbNNg8
(g9
g10
NtRp106889
(dp106890
g13
Nsg14
Nsg15
VFALSE
p106891
sbNg8
(g9
g10
NtRp106892
(dp106893
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106894
sbg8
(g9
g10
NtRp106895
(dp106896
g13
Nsg14
Nsg15
VFALSE
p106897
sbg8
(g9
g10
NtRp106898
(dp106899
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106900
sbg8
(g9
g10
NtRp106901
(dp106902
g13
Nsg14
Nsg15
VFALSE
p106903
sbNNNNNNNg8
(g9
g10
NtRp106904
(dp106905
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106906
(dp106907
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106908
(dp106909
g13
Nsg14
Nsg15
Veea_v_3035_1_km_eea-ref-grid-pt-30_2013
p106910
sbNNtp106911
a(g8
(g9
g10
NtRp106912
(dp106913
g13
Nsg14
Nsg15
Vabf380b4-818d-42c6-8de5-5230978124e5
p106914
sbNg8
(g9
g10
NtRp106915
(dp106916
g13
Nsg14
Nsg15
VLandScan Global Population Database 2008 adjusted to the LEAC grid
p106917
sbNNNNNg8
(g9
g10
NtRp106918
(dp106919
g13
Nsg14
Nsg15
VThis dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe and processed in order to match a LEAC grid (projection EPSG 3035 with a spatial resolution of 1km²).\u000a\u000aContent: population count per grid cell.
p106920
sbNNg8
(g9
g10
NtRp106921
(dp106922
g13
Nsg14
Nsg15
VFALSE
p106923
sbNNNg8
(g9
g10
NtRp106924
(dp106925
g13
Nsg14
Nsg15
VFALSE
p106926
sbNNg8
(g9
g10
NtRp106927
(dp106928
g13
Nsg14
Nsg15
VFALSE
p106929
sbNNg8
(g9
g10
NtRp106930
(dp106931
g13
Nsg14
Nsg15
VFALSE
p106932
sbNg8
(g9
g10
NtRp106933
(dp106934
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/abf380b4-818d-42c6-8de5-5230978124e5.png
p106935
sbg8
(g9
g10
NtRp106936
(dp106937
g13
Nsg14
Nsg15
VEPSG:3035
p106938
sbg8
(g9
g10
NtRp106939
(dp106940
g13
Nsg14
Nsg15
V2019-06-04
p106941
sbNg8
(g9
g10
NtRp106942
(dp106943
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p106944
sbNg8
(g9
g10
NtRp106945
(dp106946
g13
Nsg14
Nsg15
Vgrid
p106947
sbg8
(g9
g10
NtRp106948
(dp106949
g13
Nsg14
Nsg15
VGTiff
p106950
sbNg8
(g9
g10
NtRp106951
(dp106952
g13
Nsg14
Nsg15
V1000m
p106953
sbNg8
(g9
g10
NtRp106954
(dp106955
g13
Nsg14
Nsg15
VThe methodology used to project the LandScan data (http://www.ornl.gov/sci/landscan/) onto the LEAC grid is described in the document lineage_landscan_to_leac_grid_part1.pdf. At that stage, these data are stored into a MsAccess database.\u000aThe conversion from a MsAccess database to a GeoTiff raster file is described in the document lineage_landscan_to_leac_grid_part2.pdf.
p106956
sbg8
(g9
g10
NtRp106957
(dp106958
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abf380b4-818d-42c6-8de5-5230978124e5
p106959
sbNNg8
(g9
g10
NtRp106960
(dp106961
g13
Nsg14
Nsg15
VFALSE
p106962
sbNg8
(g9
g10
NtRp106963
(dp106964
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p106965
sbg8
(g9
g10
NtRp106966
(dp106967
g13
Nsg14
Nsg15
VFALSE
p106968
sbg8
(g9
g10
NtRp106969
(dp106970
g13
Nsg14
Nsg15
VEuropean Environment Agency
p106971
sbg8
(g9
g10
NtRp106972
(dp106973
g13
Nsg14
Nsg15
VFALSE
p106974
sbNNNNNNNg8
(g9
g10
NtRp106975
(dp106976
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp106977
(dp106978
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp106979
(dp106980
g13
Nsg14
Nsg15
Veea_r_3035_1_km_landscan-leac_2008
p106981
sbNNtp106982
a(g8
(g9
g10
NtRp106983
(dp106984
g13
Nsg14
Nsg15
V902043ca-1683-4eea-91b9-1efab31d1f5e
p106985
sbNg8
(g9
g10
NtRp106986
(dp106987
g13
Nsg14
Nsg15
VHigh Nature Value Farmland eu 1 km
p106988
sbNNNNNg8
(g9
g10
NtRp106989
(dp106990
g13
Nsg14
Nsg15
VThe grid contains the result of the CLC2000 reselection plus national datasets up-scaled to 1 km.
p106991
sbNNg8
(g9
g10
NtRp106992
(dp106993
g13
Nsg14
Nsg15
VFALSE
p106994
sbNNNg8
(g9
g10
NtRp106995
(dp106996
g13
Nsg14
Nsg15
VFALSE
p106997
sbNNg8
(g9
g10
NtRp106998
(dp106999
g13
Nsg14
Nsg15
VFALSE
p107000
sbNNg8
(g9
g10
NtRp107001
(dp107002
g13
Nsg14
Nsg15
VFALSE
p107003
sbNg8
(g9
g10
NtRp107004
(dp107005
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/902043ca-1683-4eea-91b9-1efab31d1f5e.png
p107006
sbg8
(g9
g10
NtRp107007
(dp107008
g13
Nsg14
Nsg15
VEPSG:3035
p107009
sbg8
(g9
g10
NtRp107010
(dp107011
g13
Nsg14
Nsg15
V2019-06-04
p107012
sbNg8
(g9
g10
NtRp107013
(dp107014
g13
Nsg14
Nsg15
VLand cover
p107015
sbNg8
(g9
g10
NtRp107016
(dp107017
g13
Nsg14
Nsg15
Vgrid
p107018
sbg8
(g9
g10
NtRp107019
(dp107020
g13
Nsg14
Nsg15
VAIG
p107021
sbNg8
(g9
g10
NtRp107022
(dp107023
g13
Nsg14
Nsg15
V1000m
p107024
sbNg8
(g9
g10
NtRp107025
(dp107026
g13
Nsg14
Nsg15
VCheck .pdf document
p107027
sbg8
(g9
g10
NtRp107028
(dp107029
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902043ca-1683-4eea-91b9-1efab31d1f5e
p107030
sbNNg8
(g9
g10
NtRp107031
(dp107032
g13
Nsg14
Nsg15
VFALSE
p107033
sbNg8
(g9
g10
NtRp107034
(dp107035
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107036
sbg8
(g9
g10
NtRp107037
(dp107038
g13
Nsg14
Nsg15
VFALSE
p107039
sbg8
(g9
g10
NtRp107040
(dp107041
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107042
sbg8
(g9
g10
NtRp107043
(dp107044
g13
Nsg14
Nsg15
VFALSE
p107045
sbNNNNNNNg8
(g9
g10
NtRp107046
(dp107047
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107048
(dp107049
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107050
(dp107051
g13
Nsg14
Nsg15
Veea_r_3035_1000_m_hnv-eu-1km_2005-2007
p107052
sbNNtp107053
a(g8
(g9
g10
NtRp107054
(dp107055
g13
Nsg14
Nsg15
V0d3fae51-1873-4f46-acb5-5cd2e2ad2544f
p107056
sbNg8
(g9
g10
NtRp107057
(dp107058
g13
Nsg14
Nsg15
VEEA reference grid for Kosovo (UNSCR 1244/99) (100km), May 2013
p107059
sbNNNNNg8
(g9
g10
NtRp107060
(dp107061
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p107062
sbNNg8
(g9
g10
NtRp107063
(dp107064
g13
Nsg14
Nsg15
VFALSE
p107065
sbNNNg8
(g9
g10
NtRp107066
(dp107067
g13
Nsg14
Nsg15
VFALSE
p107068
sbNNg8
(g9
g10
NtRp107069
(dp107070
g13
Nsg14
Nsg15
VFALSE
p107071
sbNNg8
(g9
g10
NtRp107072
(dp107073
g13
Nsg14
Nsg15
VFALSE
p107074
sbNg8
(g9
g10
NtRp107075
(dp107076
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f.png
p107077
sbg8
(g9
g10
NtRp107078
(dp107079
g13
Nsg14
Nsg15
VEPSG:3035
p107080
sbg8
(g9
g10
NtRp107081
(dp107082
g13
Nsg14
Nsg15
V2019-06-04
p107083
sbNg8
(g9
g10
NtRp107084
(dp107085
g13
Nsg14
Nsg15
VGeographical grid systems
p107086
sbNg8
(g9
g10
NtRp107087
(dp107088
g13
Nsg14
Nsg15
Vvector
p107089
sbg8
(g9
g10
NtRp107090
(dp107091
g13
Nsg14
Nsg15
VSHP
p107092
sbNg8
(g9
g10
NtRp107093
(dp107094
g13
Nsg14
Nsg15
V100000m
p107095
sbNg8
(g9
g10
NtRp107096
(dp107097
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p107098
sbg8
(g9
g10
NtRp107099
(dp107100
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f
p107101
sbNNg8
(g9
g10
NtRp107102
(dp107103
g13
Nsg14
Nsg15
VFALSE
p107104
sbNg8
(g9
g10
NtRp107105
(dp107106
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107107
sbg8
(g9
g10
NtRp107108
(dp107109
g13
Nsg14
Nsg15
VFALSE
p107110
sbg8
(g9
g10
NtRp107111
(dp107112
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107113
sbg8
(g9
g10
NtRp107114
(dp107115
g13
Nsg14
Nsg15
VFALSE
p107116
sbNNNNNNNg8
(g9
g10
NtRp107117
(dp107118
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107119
(dp107120
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107121
(dp107122
g13
Nsg14
Nsg15
Veea_v_3035_100_km_eea-ref-grid-xk_2013
p107123
sbNNtp107124
a(g8
(g9
g10
NtRp107125
(dp107126
g13
Nsg14
Nsg15
V34149223-a7f8-49bd-8037-91a67bb66c74
p107127
sbNg8
(g9
g10
NtRp107128
(dp107129
g13
Nsg14
Nsg15
VHigh Natural Value Total Maximum
p107130
sbNNNNNg8
(g9
g10
NtRp107131
(dp107132
g13
Nsg14
Nsg15
Vthe grid contains the combination of the others HNV layers (eu_1km, iba, pba, n2k) all upscaled to 1 km, created with the rule that the maximum value of the four is retained in the result (resolution 1 km)
p107133
sbNNg8
(g9
g10
NtRp107134
(dp107135
g13
Nsg14
Nsg15
VFALSE
p107136
sbNNNg8
(g9
g10
NtRp107137
(dp107138
g13
Nsg14
Nsg15
VFALSE
p107139
sbNNg8
(g9
g10
NtRp107140
(dp107141
g13
Nsg14
Nsg15
VFALSE
p107142
sbNNg8
(g9
g10
NtRp107143
(dp107144
g13
Nsg14
Nsg15
VFALSE
p107145
sbNg8
(g9
g10
NtRp107146
(dp107147
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/34149223-a7f8-49bd-8037-91a67bb66c74.png
p107148
sbg8
(g9
g10
NtRp107149
(dp107150
g13
Nsg14
Nsg15
VEPSG:3035
p107151
sbg8
(g9
g10
NtRp107152
(dp107153
g13
Nsg14
Nsg15
V2019-06-04
p107154
sbNg8
(g9
g10
NtRp107155
(dp107156
g13
Nsg14
Nsg15
VLand cover
p107157
sbNg8
(g9
g10
NtRp107158
(dp107159
g13
Nsg14
Nsg15
Vgrid
p107160
sbg8
(g9
g10
NtRp107161
(dp107162
g13
Nsg14
Nsg15
VAIG
p107163
sbNg8
(g9
g10
NtRp107164
(dp107165
g13
Nsg14
Nsg15
V1000m
p107166
sbNg8
(g9
g10
NtRp107167
(dp107168
g13
Nsg14
Nsg15
VCheck .pdf document
p107169
sbg8
(g9
g10
NtRp107170
(dp107171
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34149223-a7f8-49bd-8037-91a67bb66c74
p107172
sbNNg8
(g9
g10
NtRp107173
(dp107174
g13
Nsg14
Nsg15
VFALSE
p107175
sbNg8
(g9
g10
NtRp107176
(dp107177
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107178
sbg8
(g9
g10
NtRp107179
(dp107180
g13
Nsg14
Nsg15
VFALSE
p107181
sbg8
(g9
g10
NtRp107182
(dp107183
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107184
sbg8
(g9
g10
NtRp107185
(dp107186
g13
Nsg14
Nsg15
VFALSE
p107187
sbNNNNNNNg8
(g9
g10
NtRp107188
(dp107189
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107190
(dp107191
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107192
(dp107193
g13
Nsg14
Nsg15
Veea_r_3035_1000_m_hnv-tot-max_2005-2007
p107194
sbNNtp107195
a(g8
(g9
g10
NtRp107196
(dp107197
g13
Nsg14
Nsg15
V1ae48a16-89b7-4568-aae8-2308f254e2cf
p107198
sbNg8
(g9
g10
NtRp107199
(dp107200
g13
Nsg14
Nsg15
VCoastal zones derived from Corine Land Cover classes 52x (raster 100m), Jun. 2012
p107201
sbNNNNNg8
(g9
g10
NtRp107202
(dp107203
g13
Nsg14
Nsg15
VCoastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).
p107204
sbNNg8
(g9
g10
NtRp107205
(dp107206
g13
Nsg14
Nsg15
VFALSE
p107207
sbNNNg8
(g9
g10
NtRp107208
(dp107209
g13
Nsg14
Nsg15
VFALSE
p107210
sbNNg8
(g9
g10
NtRp107211
(dp107212
g13
Nsg14
Nsg15
VFALSE
p107213
sbNNg8
(g9
g10
NtRp107214
(dp107215
g13
Nsg14
Nsg15
VFALSE
p107216
sbNg8
(g9
g10
NtRp107217
(dp107218
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1ae48a16-89b7-4568-aae8-2308f254e2cf.png
p107219
sbg8
(g9
g10
NtRp107220
(dp107221
g13
Nsg14
Nsg15
VEPSG:3035
p107222
sbg8
(g9
g10
NtRp107223
(dp107224
g13
Nsg14
Nsg15
V2019-06-04
p107225
sbNg8
(g9
g10
NtRp107226
(dp107227
g13
Nsg14
Nsg15
VElevation
p107228
sbNg8
(g9
g10
NtRp107229
(dp107230
g13
Nsg14
Nsg15
Vgrid
p107231
sbg8
(g9
g10
NtRp107232
(dp107233
g13
Nsg14
Nsg15
VGTiff
p107234
sbNg8
(g9
g10
NtRp107235
(dp107236
g13
Nsg14
Nsg15
V100m
p107237
sbNg8
(g9
g10
NtRp107238
(dp107239
g13
Nsg14
Nsg15
V0. Get access to the CLC v.16 100 m raster datasets:\u000a\u000aCorine Land Cover 2000 raster data - version 16\u000aCorine Land Cover 2006 raster data - version 16\u000aCorine Land Cover 1990 raster data - version 16\u000aCorine Land Cover 2000 - 2006 harmonised changes - version 16\u000aCorine Land Cover 1990 - 2000 harmonised changes - version 16\u000a\u000a\u000a1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\u000a\u000aIn GRASS:\u000ar.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)"\u000ar.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)"\u000a\u000a\u000a2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\u000a\u000aBefore generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows:\u000a\u000a521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA\u000a522 = 523 # 522 (Estuaries) is now treated as part of the SEA\u000a* = *         # Anything else remains as it was
p107240
sbg8
(g9
g10
NtRp107241
(dp107242
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1ae48a16-89b7-4568-aae8-2308f254e2cf
p107243
sbNNg8
(g9
g10
NtRp107244
(dp107245
g13
Nsg14
Nsg15
VFALSE
p107246
sbNg8
(g9
g10
NtRp107247
(dp107248
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107249
sbg8
(g9
g10
NtRp107250
(dp107251
g13
Nsg14
Nsg15
VFALSE
p107252
sbg8
(g9
g10
NtRp107253
(dp107254
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107255
sbg8
(g9
g10
NtRp107256
(dp107257
g13
Nsg14
Nsg15
VFALSE
p107258
sbNNNNNNNg8
(g9
g10
NtRp107259
(dp107260
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107261
(dp107262
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107263
(dp107264
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-buffer-52x-1-10km_2012
p107265
sbNNtp107266
a(g8
(g9
g10
NtRp107267
(dp107268
g13
Nsg14
Nsg15
V4c1baca3-6494-4463-9958-dc4d8d15bbab
p107269
sbNg8
(g9
g10
NtRp107270
(dp107271
g13
Nsg14
Nsg15
VCoastal zones derived from Corine Land Cover class 523 (raster 100m), Jun. 2012
p107272
sbNNNNNg8
(g9
g10
NtRp107273
(dp107274
g13
Nsg14
Nsg15
VCoastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).
p107275
sbNNg8
(g9
g10
NtRp107276
(dp107277
g13
Nsg14
Nsg15
VFALSE
p107278
sbNNNg8
(g9
g10
NtRp107279
(dp107280
g13
Nsg14
Nsg15
VFALSE
p107281
sbNNg8
(g9
g10
NtRp107282
(dp107283
g13
Nsg14
Nsg15
VFALSE
p107284
sbNNg8
(g9
g10
NtRp107285
(dp107286
g13
Nsg14
Nsg15
VFALSE
p107287
sbNg8
(g9
g10
NtRp107288
(dp107289
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c1baca3-6494-4463-9958-dc4d8d15bbab.png
p107290
sbg8
(g9
g10
NtRp107291
(dp107292
g13
Nsg14
Nsg15
VEPSG:3035
p107293
sbg8
(g9
g10
NtRp107294
(dp107295
g13
Nsg14
Nsg15
V2019-06-04
p107296
sbNg8
(g9
g10
NtRp107297
(dp107298
g13
Nsg14
Nsg15
VElevation
p107299
sbNg8
(g9
g10
NtRp107300
(dp107301
g13
Nsg14
Nsg15
Vgrid
p107302
sbg8
(g9
g10
NtRp107303
(dp107304
g13
Nsg14
Nsg15
VGTiff
p107305
sbNg8
(g9
g10
NtRp107306
(dp107307
g13
Nsg14
Nsg15
V100m
p107308
sbNg8
(g9
g10
NtRp107309
(dp107310
g13
Nsg14
Nsg15
V0. Get access to the CLC v.16 100 m raster datasets:\u000a\u000aCorine Land Cover 2000 raster data - version 16\u000aCorine Land Cover 2006 raster data - version 16\u000aCorine Land Cover 1990 raster data - version 16\u000aCorine Land Cover 2000 - 2006 harmonised changes - version 16\u000aCorine Land Cover 1990 - 2000 harmonised changes - version 16\u000a\u000a\u000a1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\u000a\u000aIn GRASS:\u000ar.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)"\u000ar.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)"\u000a\u000a\u000a2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\u000a\u000aLayer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.
p107311
sbg8
(g9
g10
NtRp107312
(dp107313
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c1baca3-6494-4463-9958-dc4d8d15bbab
p107314
sbg8
(g9
g10
NtRp107315
(dp107316
g13
Nsg14
g74
sg15
V2006
p107317
sbg8
(g9
g10
NtRp107318
(dp107319
g13
Nsg14
g74
sg15
V2006
p107320
sbg8
(g9
g10
NtRp107321
(dp107322
g13
Nsg14
Nsg15
VFALSE
p107323
sbNg8
(g9
g10
NtRp107324
(dp107325
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107326
sbg8
(g9
g10
NtRp107327
(dp107328
g13
Nsg14
Nsg15
VFALSE
p107329
sbg8
(g9
g10
NtRp107330
(dp107331
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107332
sbg8
(g9
g10
NtRp107333
(dp107334
g13
Nsg14
Nsg15
VFALSE
p107335
sbNNNNNNNg8
(g9
g10
NtRp107336
(dp107337
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107338
(dp107339
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107340
(dp107341
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-buffer-523-1-10km_2012
p107342
sbNNtp107343
a(g8
(g9
g10
NtRp107344
(dp107345
g13
Nsg14
Nsg15
Veac75b71-3c41-4133-8ec0-2a983e5f8f1c
p107346
sbNg8
(g9
g10
NtRp107347
(dp107348
g13
Nsg14
Nsg15
VHigh Nature Value Farmland - Primary Butterfly Areas
p107349
sbNNNNNg8
(g9
g10
NtRp107350
(dp107351
g13
Nsg14
Nsg15
Vthe grid contains the reselection of CLC2000 classes in selected Primary Butterfly Areas (resolution 100 m)
p107352
sbNNg8
(g9
g10
NtRp107353
(dp107354
g13
Nsg14
Nsg15
VFALSE
p107355
sbNNNg8
(g9
g10
NtRp107356
(dp107357
g13
Nsg14
Nsg15
VFALSE
p107358
sbNNg8
(g9
g10
NtRp107359
(dp107360
g13
Nsg14
Nsg15
VFALSE
p107361
sbNNg8
(g9
g10
NtRp107362
(dp107363
g13
Nsg14
Nsg15
VFALSE
p107364
sbNg8
(g9
g10
NtRp107365
(dp107366
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/eac75b71-3c41-4133-8ec0-2a983e5f8f1c.png
p107367
sbg8
(g9
g10
NtRp107368
(dp107369
g13
Nsg14
Nsg15
VEPSG:3035
p107370
sbg8
(g9
g10
NtRp107371
(dp107372
g13
Nsg14
Nsg15
V2019-06-04
p107373
sbNg8
(g9
g10
NtRp107374
(dp107375
g13
Nsg14
Nsg15
VLand cover
p107376
sbNg8
(g9
g10
NtRp107377
(dp107378
g13
Nsg14
Nsg15
Vgrid
p107379
sbg8
(g9
g10
NtRp107380
(dp107381
g13
Nsg14
Nsg15
VAIG
p107382
sbNg8
(g9
g10
NtRp107383
(dp107384
g13
Nsg14
Nsg15
V100m
p107385
sbNg8
(g9
g10
NtRp107386
(dp107387
g13
Nsg14
Nsg15
VCheck .pdf document
p107388
sbg8
(g9
g10
NtRp107389
(dp107390
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eac75b71-3c41-4133-8ec0-2a983e5f8f1c
p107391
sbg8
(g9
g10
NtRp107392
(dp107393
g13
Nsg14
g74
sg15
V2005
p107394
sbg8
(g9
g10
NtRp107395
(dp107396
g13
Nsg14
g74
sg15
V2007
p107397
sbg8
(g9
g10
NtRp107398
(dp107399
g13
Nsg14
Nsg15
VTRUE
p107400
sbNg8
(g9
g10
NtRp107401
(dp107402
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107403
sbg8
(g9
g10
NtRp107404
(dp107405
g13
Nsg14
Nsg15
VFALSE
p107406
sbg8
(g9
g10
NtRp107407
(dp107408
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107409
sbg8
(g9
g10
NtRp107410
(dp107411
g13
Nsg14
Nsg15
VFALSE
p107412
sbNNNNNNNg8
(g9
g10
NtRp107413
(dp107414
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107415
(dp107416
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107417
(dp107418
g13
Nsg14
Nsg15
Veea_r_3035_100_m_hnv-pba_2005-2007
p107419
sbNNtp107420
a(g8
(g9
g10
NtRp107421
(dp107422
g13
Nsg14
Nsg15
V9302aca8-d3c7-43b2-b64f-f42bec35e7a4
p107423
sbNg8
(g9
g10
NtRp107424
(dp107425
g13
Nsg14
Nsg15
VEuropean and Mediterranean Basin extract of LandScan Global Population Database 2008
p107426
sbNNNNNg8
(g9
g10
NtRp107427
(dp107428
g13
Nsg14
Nsg15
VThis dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe together with the Mediterranean Basin, converted into a population density dataset and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km². The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level.\u000aContent: population count per grid cell.\u000aNo data value: -99
p107429
sbNNg8
(g9
g10
NtRp107430
(dp107431
g13
Nsg14
Nsg15
VFALSE
p107432
sbNNNg8
(g9
g10
NtRp107433
(dp107434
g13
Nsg14
Nsg15
VFALSE
p107435
sbNNg8
(g9
g10
NtRp107436
(dp107437
g13
Nsg14
Nsg15
VFALSE
p107438
sbNNg8
(g9
g10
NtRp107439
(dp107440
g13
Nsg14
Nsg15
VFALSE
p107441
sbNg8
(g9
g10
NtRp107442
(dp107443
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/9302aca8-d3c7-43b2-b64f-f42bec35e7a4.png
p107444
sbg8
(g9
g10
NtRp107445
(dp107446
g13
Nsg14
Nsg15
VEPSG:3035
p107447
sbg8
(g9
g10
NtRp107448
(dp107449
g13
Nsg14
Nsg15
V2019-06-04
p107450
sbNg8
(g9
g10
NtRp107451
(dp107452
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p107453
sbNg8
(g9
g10
NtRp107454
(dp107455
g13
Nsg14
Nsg15
Vgrid
p107456
sbg8
(g9
g10
NtRp107457
(dp107458
g13
Nsg14
Nsg15
VGTiff
p107459
sbNg8
(g9
g10
NtRp107460
(dp107461
g13
Nsg14
Nsg15
V1000m
p107462
sbNg8
(g9
g10
NtRp107463
(dp107464
g13
Nsg14
Nsg15
VThe methodology used consisted in:\u000aa) clipping an area of interest from the original LandScan data (http://www.ornl.gov/sci/landscan/) in WGS84 lat/lon\u000ab) calculating the corresponding population density in inhabitants per km² (still in WGS84 lat/lon)\u000ac) projecting b) to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) with a resolution of 1km\u000a \u000aThis methodology is described in the document landscan_paul.pdf.\u000a\u000aIn this document, some references are made to a similar product created by Hermann Peifer registered in the catalogue with the metadata ID 1d68d314-d07c-4205-8852-f74b364cd699
p107465
sbg8
(g9
g10
NtRp107466
(dp107467
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9302aca8-d3c7-43b2-b64f-f42bec35e7a4
p107468
sbg8
(g9
g10
NtRp107469
(dp107470
g13
Nsg14
g74
sg15
V2008
p107471
sbg8
(g9
g10
NtRp107472
(dp107473
g13
Nsg14
g74
sg15
V2008
p107474
sbg8
(g9
g10
NtRp107475
(dp107476
g13
Nsg14
Nsg15
VFALSE
p107477
sbNg8
(g9
g10
NtRp107478
(dp107479
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107480
sbg8
(g9
g10
NtRp107481
(dp107482
g13
Nsg14
Nsg15
VFALSE
p107483
sbg8
(g9
g10
NtRp107484
(dp107485
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107486
sbg8
(g9
g10
NtRp107487
(dp107488
g13
Nsg14
Nsg15
VFALSE
p107489
sbNNNNNNNg8
(g9
g10
NtRp107490
(dp107491
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107492
(dp107493
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107494
(dp107495
g13
Nsg14
Nsg15
Veea_r_3035_1_km_landscan-eurmed2_2008
p107496
sbNNtp107497
a(g8
(g9
g10
NtRp107498
(dp107499
g13
Nsg14
Nsg15
V1d68d314-d07c-4205-8852-f74b364cd699
p107500
sbNg8
(g9
g10
NtRp107501
(dp107502
g13
Nsg14
Nsg15
VExtract of LandScan Global Population Database 2008 over Europe and the Mediterranean Basin
p107503
sbNNNNNg8
(g9
g10
NtRp107504
(dp107505
g13
Nsg14
Nsg15
VThis dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe together with the Mediterranean Basin and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km². The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level.\u000a\u000aContent: (population count * 10000) per grid cell.\u000aNo data value: -99
p107506
sbNNg8
(g9
g10
NtRp107507
(dp107508
g13
Nsg14
Nsg15
VFALSE
p107509
sbNNNg8
(g9
g10
NtRp107510
(dp107511
g13
Nsg14
Nsg15
VFALSE
p107512
sbNNg8
(g9
g10
NtRp107513
(dp107514
g13
Nsg14
Nsg15
VFALSE
p107515
sbNNg8
(g9
g10
NtRp107516
(dp107517
g13
Nsg14
Nsg15
VFALSE
p107518
sbNg8
(g9
g10
NtRp107519
(dp107520
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1d68d314-d07c-4205-8852-f74b364cd699.png
p107521
sbg8
(g9
g10
NtRp107522
(dp107523
g13
Nsg14
Nsg15
VEPSG:3035
p107524
sbg8
(g9
g10
NtRp107525
(dp107526
g13
Nsg14
Nsg15
V2019-06-04
p107527
sbNg8
(g9
g10
NtRp107528
(dp107529
g13
Nsg14
Nsg15
VPopulation distribution \u2014 demography
p107530
sbNg8
(g9
g10
NtRp107531
(dp107532
g13
Nsg14
Nsg15
Vgrid
p107533
sbg8
(g9
g10
NtRp107534
(dp107535
g13
Nsg14
Nsg15
VGTiff
p107536
sbNg8
(g9
g10
NtRp107537
(dp107538
g13
Nsg14
Nsg15
V1000m
p107539
sbNg8
(g9
g10
NtRp107540
(dp107541
g13
Nsg14
Nsg15
VThe methodology used to project a portion of the LandScan data (http://www.ornl.gov/sci/landscan/) from WGS84 lat/lon to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) is described in the document landscan_hermann.pdf.\u000aIn this document, some references are made to a similar product delivered by ETC-LUSI registered in the catalogue with the metadata ID abf380b4-818d-42c6-8de5-5230978124e5
p107542
sbg8
(g9
g10
NtRp107543
(dp107544
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1d68d314-d07c-4205-8852-f74b364cd699
p107545
sbg8
(g9
g10
NtRp107546
(dp107547
g13
Nsg14
g74
sg15
V2008
p107548
sbg8
(g9
g10
NtRp107549
(dp107550
g13
Nsg14
g74
sg15
V2008
p107551
sbg8
(g9
g10
NtRp107552
(dp107553
g13
Nsg14
Nsg15
VFALSE
p107554
sbNg8
(g9
g10
NtRp107555
(dp107556
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107557
sbg8
(g9
g10
NtRp107558
(dp107559
g13
Nsg14
Nsg15
VFALSE
p107560
sbg8
(g9
g10
NtRp107561
(dp107562
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107563
sbg8
(g9
g10
NtRp107564
(dp107565
g13
Nsg14
Nsg15
VFALSE
p107566
sbNNNNNNNg8
(g9
g10
NtRp107567
(dp107568
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107569
(dp107570
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107571
(dp107572
g13
Nsg14
Nsg15
Veea_r_3035_1_km_landscan-eurmed_2008
p107573
sbNNtp107574
a(g8
(g9
g10
NtRp107575
(dp107576
g13
Nsg14
Nsg15
Vfee1dd1a-b65b-4d01-9f54-00c080f9e151
p107577
sbNg8
(g9
g10
NtRp107578
(dp107579
g13
Nsg14
Nsg15
VCoastal zones derived from Corine Land Cover class 523 (raster 100m), Dec. 2011
p107580
sbNNNNNg8
(g9
g10
NtRp107581
(dp107582
g13
Nsg14
Nsg15
VCoastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).
p107583
sbNNg8
(g9
g10
NtRp107584
(dp107585
g13
Nsg14
Nsg15
VFALSE
p107586
sbNNNg8
(g9
g10
NtRp107587
(dp107588
g13
Nsg14
Nsg15
VFALSE
p107589
sbNNg8
(g9
g10
NtRp107590
(dp107591
g13
Nsg14
Nsg15
VFALSE
p107592
sbNNg8
(g9
g10
NtRp107593
(dp107594
g13
Nsg14
Nsg15
VFALSE
p107595
sbNg8
(g9
g10
NtRp107596
(dp107597
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/fee1dd1a-b65b-4d01-9f54-00c080f9e151.png
p107598
sbg8
(g9
g10
NtRp107599
(dp107600
g13
Nsg14
Nsg15
VEPSG:3035
p107601
sbg8
(g9
g10
NtRp107602
(dp107603
g13
Nsg14
Nsg15
V2019-06-04
p107604
sbNg8
(g9
g10
NtRp107605
(dp107606
g13
Nsg14
Nsg15
VElevation
p107607
sbNg8
(g9
g10
NtRp107608
(dp107609
g13
Nsg14
Nsg15
Vgrid
p107610
sbg8
(g9
g10
NtRp107611
(dp107612
g13
Nsg14
Nsg15
VGTiff
p107613
sbNg8
(g9
g10
NtRp107614
(dp107615
g13
Nsg14
Nsg15
V100m
p107616
sbNg8
(g9
g10
NtRp107617
(dp107618
g13
Nsg14
Nsg15
V0. Download the CLC v.15 100 m raster datasets, as published in EEA data service:\u000a\u000aCorine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011\u000a\u000ahttp://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data \u000a\u000a\u000a1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\u000a\u000aIn GRASS:\u000ar.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)"\u000ar.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)"\u000a\u000a\u000a2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\u000a\u000aLayer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.
p107619
sbg8
(g9
g10
NtRp107620
(dp107621
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fee1dd1a-b65b-4d01-9f54-00c080f9e151
p107622
sbg8
(g9
g10
NtRp107623
(dp107624
g13
Nsg14
g74
sg15
V2006
p107625
sbg8
(g9
g10
NtRp107626
(dp107627
g13
Nsg14
g74
sg15
V2006
p107628
sbg8
(g9
g10
NtRp107629
(dp107630
g13
Nsg14
Nsg15
VFALSE
p107631
sbNg8
(g9
g10
NtRp107632
(dp107633
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107634
sbg8
(g9
g10
NtRp107635
(dp107636
g13
Nsg14
Nsg15
VFALSE
p107637
sbg8
(g9
g10
NtRp107638
(dp107639
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107640
sbg8
(g9
g10
NtRp107641
(dp107642
g13
Nsg14
Nsg15
VFALSE
p107643
sbNNNNNNNg8
(g9
g10
NtRp107644
(dp107645
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V
sbg8
(g9
g10
NtRp107646
(dp107647
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107648
(dp107649
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-buffer-523-1-10km_2011
p107650
sbNNtp107651
a(g8
(g9
g10
NtRp107652
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Vf68623ca-c1ff-44b6-a582-14872f43fc93
p107654
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NtRp107655
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g13
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VCoastal zones derived from Corine Land Cover classes 52x (raster 100m), Dec. 2011
p107657
sbNNNNNg8
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g10
NtRp107658
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g13
Nsg14
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VCoastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).
p107660
sbNNg8
(g9
g10
NtRp107661
(dp107662
g13
Nsg14
Nsg15
VFALSE
p107663
sbNNNg8
(g9
g10
NtRp107664
(dp107665
g13
Nsg14
Nsg15
VFALSE
p107666
sbNNg8
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g10
NtRp107667
(dp107668
g13
Nsg14
Nsg15
VFALSE
p107669
sbNNg8
(g9
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NtRp107670
(dp107671
g13
Nsg14
Nsg15
VFALSE
p107672
sbNg8
(g9
g10
NtRp107673
(dp107674
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/f68623ca-c1ff-44b6-a582-14872f43fc93.png
p107675
sbg8
(g9
g10
NtRp107676
(dp107677
g13
Nsg14
Nsg15
VEPSG:3035
p107678
sbg8
(g9
g10
NtRp107679
(dp107680
g13
Nsg14
Nsg15
V2019-06-04
p107681
sbNg8
(g9
g10
NtRp107682
(dp107683
g13
Nsg14
Nsg15
VElevation
p107684
sbNg8
(g9
g10
NtRp107685
(dp107686
g13
Nsg14
Nsg15
Vgrid
p107687
sbg8
(g9
g10
NtRp107688
(dp107689
g13
Nsg14
Nsg15
VGTiff
p107690
sbNg8
(g9
g10
NtRp107691
(dp107692
g13
Nsg14
Nsg15
V100m
p107693
sbNg8
(g9
g10
NtRp107694
(dp107695
g13
Nsg14
Nsg15
V0. Download the CLC v.15 100 m raster datasets, as published in EEA data service:\u000a\u000aCorine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011\u000aCorine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011\u000a\u000ahttp://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data \u000a\u000a\u000a1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\u000a\u000aIn GRASS:\u000ar.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)"\u000ar.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)"\u000a\u000a\u000a2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\u000a\u000aBefore generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows:\u000a\u000a521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA\u000a522 = 523 # 522 (Estuaries) is now treated as part of the SEA\u000a* = *         # Anything else remains as it was
p107696
sbg8
(g9
g10
NtRp107697
(dp107698
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f68623ca-c1ff-44b6-a582-14872f43fc93
p107699
sbg8
(g9
g10
NtRp107700
(dp107701
g13
Nsg14
g74
sg15
V2006
p107702
sbg8
(g9
g10
NtRp107703
(dp107704
g13
Nsg14
g74
sg15
V2006
p107705
sbg8
(g9
g10
NtRp107706
(dp107707
g13
Nsg14
Nsg15
VFALSE
p107708
sbNg8
(g9
g10
NtRp107709
(dp107710
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107711
sbg8
(g9
g10
NtRp107712
(dp107713
g13
Nsg14
Nsg15
VFALSE
p107714
sbg8
(g9
g10
NtRp107715
(dp107716
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107717
sbg8
(g9
g10
NtRp107718
(dp107719
g13
Nsg14
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VFALSE
p107720
sbNNNNNNNg8
(g9
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NtRp107721
(dp107722
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107723
(dp107724
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107725
(dp107726
g13
Nsg14
Nsg15
Veea_r_3035_100_m_clc-buffer-52x-1-10km_2011
p107727
sbNNtp107728
a(g8
(g9
g10
NtRp107729
(dp107730
g13
Nsg14
Nsg15
V51d44d2d-835a-4a03-963c-86bd2f856006
p107731
sbNg8
(g9
g10
NtRp107732
(dp107733
g13
Nsg14
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VSRTM90 - The Shuttle Radar Topography Mission DEM100
p107734
sbNNNNNg8
(g9
g10
NtRp107735
(dp107736
g13
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VThe current dataset is a combination of SRTM 90 and DTED data. The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA). Version 2 of the Shuttle Radar Topography Mission digital topographic data (also known as the "finished" version). was used for generation of this dataset. Version 2 is the result of a substantial editing effort by the National Geospatial Intelligence Agency and exhibits well-defined water bodies and coastlines and the absence of spikes and wells (single pixel errors), although some areas of missing data ('voids') are still present. The Version 2 directory also contains the vector coastline mask derived by NGA during the editing, called the SRTM Water Body Data (SWBD), in ESRI Shapefile format. DTED (or Digital Terrain Elevation Data) was originally developed in the 1970s to support aircraft radar simulation and prediction. DTED supports many applications, including line-of-sight analyses, terrain profiling, 3-D terrain visualization, mission planning/rehearsal, and modeling and simulation. DTED is a standard NGA product that provides medium resolution, quantitative data in a digital format for military system applications that require terrain elevation. The DTED format for level 0, 1 and 2 is described in U.S. Military Specification Digital Terrain Elevation Data (DTED) MIL-PRF-89020B, and amongst others describe the resolution: Level 0 used for geneation of this dataset has a post spacing of 30 arcseconds in latitude direction (ca. 900 meters)
p107737
sbNNg8
(g9
g10
NtRp107738
(dp107739
g13
Nsg14
Nsg15
VFALSE
p107740
sbNNNg8
(g9
g10
NtRp107741
(dp107742
g13
Nsg14
Nsg15
VFALSE
p107743
sbNNg8
(g9
g10
NtRp107744
(dp107745
g13
Nsg14
Nsg15
VFALSE
p107746
sbNNg8
(g9
g10
NtRp107747
(dp107748
g13
Nsg14
Nsg15
VFALSE
p107749
sbNg8
(g9
g10
NtRp107750
(dp107751
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/51d44d2d-835a-4a03-963c-86bd2f856006.png
p107752
sbg8
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g10
NtRp107753
(dp107754
g13
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Nsg15
VEPSG:3035
p107755
sbg8
(g9
g10
NtRp107756
(dp107757
g13
Nsg14
Nsg15
V2019-06-04
p107758
sbNg8
(g9
g10
NtRp107759
(dp107760
g13
Nsg14
Nsg15
VElevation
p107761
sbNg8
(g9
g10
NtRp107762
(dp107763
g13
Nsg14
Nsg15
Vgrid
p107764
sbg8
(g9
g10
NtRp107765
(dp107766
g13
Nsg14
Nsg15
VAIG
p107767
sbNg8
(g9
g10
NtRp107768
(dp107769
g13
Nsg14
Nsg15
V100m
p107770
sbNg8
(g9
g10
NtRp107771
(dp107772
g13
Nsg14
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V1. The SRTM dataset was corrected tile by tile by filling voids using http://3dnature.com/srtmfill.html application 2. A mosaic was produced using the filled tiles. 3. The sea leyer was modified to -1000 value, to generate a "fake" sea and sepparate the sea level from the areas bellow sea level. 5. A "extraction line" was manually created, folowing rivers valleys in the North area of Europe. 6. The existing DTD data was resampled to 90 m resolution and croped using with the line at point 3 7. The SRTM mosaic was cropped using the line at point 3 8. The SRTM mosaic was convert into tiles with overlapping edges. 9. The tiles at point 6 were reprojected to LAEA5210 10. A mosaic was generated using the tiles at point 7 11. The mosaics resulted at point8 and point 4 were merged into one mosaic 12. The mosaic at point 11 was cropped using the standard EEA frame f4c_n.\u000aCHANGES:The dataset was built from the SRTM90_ELEVATION_F1v0, product of EEA The dataset was resampled to 100 meters.
p107773
sbg8
(g9
g10
NtRp107774
(dp107775
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51d44d2d-835a-4a03-963c-86bd2f856006
p107776
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NtRp107777
(dp107778
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Nsg14
g74
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V2000
p107779
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(g9
g10
NtRp107780
(dp107781
g13
Nsg14
g74
sg15
V2000
p107782
sbg8
(g9
g10
NtRp107783
(dp107784
g13
Nsg14
Nsg15
VFALSE
p107785
sbNg8
(g9
g10
NtRp107786
(dp107787
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107788
sbg8
(g9
g10
NtRp107789
(dp107790
g13
Nsg14
Nsg15
VFALSE
p107791
sbg8
(g9
g10
NtRp107792
(dp107793
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107794
sbg8
(g9
g10
NtRp107795
(dp107796
g13
Nsg14
Nsg15
VFALSE
p107797
sbNNNNNNNg8
(g9
g10
NtRp107798
(dp107799
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107800
(dp107801
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107802
(dp107803
g13
Nsg14
Nsg15
Veea_r_3035_100_m_srtm90-dem_2000
p107804
sbNNtp107805
a(g8
(g9
g10
NtRp107806
(dp107807
g13
Nsg14
Nsg15
V1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df
p107808
sbNg8
(g9
g10
NtRp107809
(dp107810
g13
Nsg14
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VEEA reference grid for Cyprus (1km), May 2013
p107811
sbNNNNNg8
(g9
g10
NtRp107812
(dp107813
g13
Nsg14
Nsg15
VThe grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
p107814
sbNNg8
(g9
g10
NtRp107815
(dp107816
g13
Nsg14
Nsg15
VFALSE
p107817
sbNNNg8
(g9
g10
NtRp107818
(dp107819
g13
Nsg14
Nsg15
VFALSE
p107820
sbNNg8
(g9
g10
NtRp107821
(dp107822
g13
Nsg14
Nsg15
VFALSE
p107823
sbNNg8
(g9
g10
NtRp107824
(dp107825
g13
Nsg14
Nsg15
VFALSE
p107826
sbNg8
(g9
g10
NtRp107827
(dp107828
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df.png
p107829
sbg8
(g9
g10
NtRp107830
(dp107831
g13
Nsg14
Nsg15
VEPSG:3035
p107832
sbg8
(g9
g10
NtRp107833
(dp107834
g13
Nsg14
Nsg15
V2019-06-04
p107835
sbNg8
(g9
g10
NtRp107836
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Nsg14
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VGeographical grid systems
p107838
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g10
NtRp107839
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Vvector
p107841
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NtRp107842
(dp107843
g13
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VSHP
p107844
sbNg8
(g9
g10
NtRp107845
(dp107846
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Nsg14
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V1000m
p107847
sbNg8
(g9
g10
NtRp107848
(dp107849
g13
Nsg14
Nsg15
VThe reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.
p107850
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g10
NtRp107851
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df
p107853
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g10
NtRp107854
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g13
Nsg14
g74
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V2013
p107856
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(g9
g10
NtRp107857
(dp107858
g13
Nsg14
g74
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V2013
p107859
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(g9
g10
NtRp107860
(dp107861
g13
Nsg14
Nsg15
VFALSE
p107862
sbNg8
(g9
g10
NtRp107863
(dp107864
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107865
sbg8
(g9
g10
NtRp107866
(dp107867
g13
Nsg14
Nsg15
VFALSE
p107868
sbg8
(g9
g10
NtRp107869
(dp107870
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107871
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(g9
g10
NtRp107872
(dp107873
g13
Nsg14
Nsg15
VFALSE
p107874
sbNNNNNNNg8
(g9
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NtRp107875
(dp107876
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V
sbg8
(g9
g10
NtRp107877
(dp107878
g13
Nsg14
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V
sbNNg8
(g9
g10
NtRp107879
(dp107880
g13
Nsg14
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Veea_v_3035_1_km_eea-ref-grid-cy_2013
p107881
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V396a3e2c-3542-4cdd-a6cf-63da91b2e6ff
p107885
sbNg8
(g9
g10
NtRp107886
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g13
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VHigh Nature Value Farmland - Natura 2000
p107888
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(g9
g10
NtRp107889
(dp107890
g13
Nsg14
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Vthe grid contains the reselection of CLC2000 classes in selected NATURA2000 sites (resolution 100 m)
p107891
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g10
NtRp107892
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VFALSE
p107894
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VFALSE
p107897
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VFALSE
p107900
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VFALSE
p107903
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Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff.png
p107906
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VEPSG:3035
p107909
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V2019-06-04
p107912
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g10
NtRp107913
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VLand cover
p107915
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Vgrid
p107918
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VAIG
p107921
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g10
NtRp107922
(dp107923
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V100m
p107924
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NtRp107925
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VCheck .pdf document
p107927
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff
p107930
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g74
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V2005
p107933
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(g9
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g74
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V2007
p107936
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(g9
g10
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(dp107938
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VTRUE
p107939
sbNg8
(g9
g10
NtRp107940
(dp107941
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p107942
sbg8
(g9
g10
NtRp107943
(dp107944
g13
Nsg14
Nsg15
VFALSE
p107945
sbg8
(g9
g10
NtRp107946
(dp107947
g13
Nsg14
Nsg15
VEuropean Environment Agency
p107948
sbg8
(g9
g10
NtRp107949
(dp107950
g13
Nsg14
Nsg15
VFALSE
p107951
sbNNNNNNNg8
(g9
g10
NtRp107952
(dp107953
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp107954
(dp107955
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp107956
(dp107957
g13
Nsg14
Nsg15
Veea_r_3035_100_m_hnv-n2k_2005-2007
p107958
sbNNtp107959
a(g8
(g9
g10
NtRp107960
(dp107961
g13
Nsg14
Nsg15
V871dce9f-5082-4d4a-b130-b58e20769449
p107962
sbNg8
(g9
g10
NtRp107963
(dp107964
g13
Nsg14
Nsg15
VHigh Nature Value Farmland - Important Bird Areas
p107965
sbNNNNNg8
(g9
g10
NtRp107966
(dp107967
g13
Nsg14
Nsg15
VThe grid contains the reselection of CLC2000 classes in selected Important Bird Areas (resolution 100 m)
p107968
sbNNg8
(g9
g10
NtRp107969
(dp107970
g13
Nsg14
Nsg15
VFALSE
p107971
sbNNNg8
(g9
g10
NtRp107972
(dp107973
g13
Nsg14
Nsg15
VFALSE
p107974
sbNNg8
(g9
g10
NtRp107975
(dp107976
g13
Nsg14
Nsg15
VFALSE
p107977
sbNNg8
(g9
g10
NtRp107978
(dp107979
g13
Nsg14
Nsg15
VFALSE
p107980
sbNg8
(g9
g10
NtRp107981
(dp107982
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/871dce9f-5082-4d4a-b130-b58e20769449.png
p107983
sbg8
(g9
g10
NtRp107984
(dp107985
g13
Nsg14
Nsg15
VEPSG:3035
p107986
sbg8
(g9
g10
NtRp107987
(dp107988
g13
Nsg14
Nsg15
V2019-06-04
p107989
sbNg8
(g9
g10
NtRp107990
(dp107991
g13
Nsg14
Nsg15
VLand cover
p107992
sbNg8
(g9
g10
NtRp107993
(dp107994
g13
Nsg14
Nsg15
Vgrid
p107995
sbg8
(g9
g10
NtRp107996
(dp107997
g13
Nsg14
Nsg15
VAIG
p107998
sbNg8
(g9
g10
NtRp107999
(dp108000
g13
Nsg14
Nsg15
V100m
p108001
sbNg8
(g9
g10
NtRp108002
(dp108003
g13
Nsg14
Nsg15
VCheck .pdf document
p108004
sbg8
(g9
g10
NtRp108005
(dp108006
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/871dce9f-5082-4d4a-b130-b58e20769449
p108007
sbg8
(g9
g10
NtRp108008
(dp108009
g13
Nsg14
g74
sg15
V2005
p108010
sbg8
(g9
g10
NtRp108011
(dp108012
g13
Nsg14
g74
sg15
V2007
p108013
sbg8
(g9
g10
NtRp108014
(dp108015
g13
Nsg14
Nsg15
VTRUE
p108016
sbNg8
(g9
g10
NtRp108017
(dp108018
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108019
sbg8
(g9
g10
NtRp108020
(dp108021
g13
Nsg14
Nsg15
VFALSE
p108022
sbg8
(g9
g10
NtRp108023
(dp108024
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108025
sbg8
(g9
g10
NtRp108026
(dp108027
g13
Nsg14
Nsg15
VFALSE
p108028
sbNNNNNNNg8
(g9
g10
NtRp108029
(dp108030
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108031
(dp108032
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108033
(dp108034
g13
Nsg14
Nsg15
Veea_r_3035_100_m_hnv-iba_2005-2007
p108035
sbNNtp108036
a(g8
(g9
g10
NtRp108037
(dp108038
g13
Nsg14
Nsg15
V15f4833f-02f5-4246-aab7-222a82eb3637
p108039
sbNg8
(g9
g10
NtRp108040
(dp108041
g13
Nsg14
Nsg15
VConservation status of species 2007-2012 for public access, Sep. 2014
p108042
sbNNNNNg8
(g9
g10
NtRp108043
(dp108044
g13
Nsg14
Nsg15
VGridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \u000a\u000aAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\u000a\u000aArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\u000a\u000aThis version does not include species flagged as sensitive by Member States.\u000a\u000aInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\u000a\u000aThe data are available in the table ART17_SD_without_sensitive of the database.
p108045
sbNNg8
(g9
g10
NtRp108046
(dp108047
g13
Nsg14
Nsg15
VFALSE
p108048
sbNNNg8
(g9
g10
NtRp108049
(dp108050
g13
Nsg14
Nsg15
VFALSE
p108051
sbNNg8
(g9
g10
NtRp108052
(dp108053
g13
Nsg14
Nsg15
VFALSE
p108054
sbNNg8
(g9
g10
NtRp108055
(dp108056
g13
Nsg14
Nsg15
VFALSE
p108057
sbNg8
(g9
g10
NtRp108058
(dp108059
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/15f4833f-02f5-4246-aab7-222a82eb3637.png
p108060
sbg8
(g9
g10
NtRp108061
(dp108062
g13
Nsg14
Nsg15
VEPSG:3035
p108063
sbg8
(g9
g10
NtRp108064
(dp108065
g13
Nsg14
Nsg15
V2019-06-04
p108066
sbNg8
(g9
g10
NtRp108067
(dp108068
g13
Nsg14
Nsg15
VHabitats and biotopes|Species distribution
p108069
sbNg8
(g9
g10
NtRp108070
(dp108071
g13
Nsg14
Nsg15
Vvector
p108072
sbg8
(g9
g10
NtRp108073
(dp108074
g13
Nsg14
Nsg15
VFGeo
p108075
sbNg8
(g9
g10
NtRp108076
(dp108077
g13
Nsg14
Nsg15
V1:10000000
p108078
sbNg8
(g9
g10
NtRp108079
(dp108080
g13
Nsg14
Nsg15
VThe Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012.  The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.
p108081
sbg8
(g9
g10
NtRp108082
(dp108083
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/15f4833f-02f5-4246-aab7-222a82eb3637
p108084
sbg8
(g9
g10
NtRp108085
(dp108086
g13
Nsg14
g74
sg15
V2007
p108087
sbg8
(g9
g10
NtRp108088
(dp108089
g13
Nsg14
g74
sg15
V2012
p108090
sbg8
(g9
g10
NtRp108091
(dp108092
g13
Nsg14
Nsg15
VTRUE
p108093
sbNg8
(g9
g10
NtRp108094
(dp108095
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\u000a\u000aCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).
p108096
sbg8
(g9
g10
NtRp108097
(dp108098
g13
Nsg14
Nsg15
VFALSE
p108099
sbg8
(g9
g10
NtRp108100
(dp108101
g13
Nsg14
Nsg15
VEuropean Commission
p108102
sbg8
(g9
g10
NtRp108103
(dp108104
g13
Nsg14
Nsg15
VFALSE
p108105
sbNNNNNNNg8
(g9
g10
NtRp108106
(dp108107
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108108
(dp108109
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108110
(dp108111
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_cons-status-species-public_2007-2012
p108112
sbNNtp108113
a(g8
(g9
g10
NtRp108114
(dp108115
g13
Nsg14
Nsg15
V84036394-19fc-466f-bc4b-b0748d5d29f4
p108116
sbNg8
(g9
g10
NtRp108117
(dp108118
g13
Nsg14
Nsg15
VHillshade Europe DEM
p108119
sbNNNNNg8
(g9
g10
NtRp108120
(dp108121
g13
Nsg14
Nsg15
VThis is a cropped DTM version (with Frame2c) for providing topographic backgrouds on EEA maps.\u000aThis is a hillshade of global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer).
p108122
sbg8
(g23
g10
NtRp108123
(dp108124
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/digital-elevation-model-of-europe
p108125
sbNg8
(g9
g10
NtRp108126
(dp108127
g13
Nsg14
Nsg15
VFALSE
p108128
sbNNNg8
(g9
g10
NtRp108129
(dp108130
g13
Nsg14
Nsg15
VFALSE
p108131
sbNNg8
(g9
g10
NtRp108132
(dp108133
g13
Nsg14
Nsg15
VFALSE
p108134
sbNNg8
(g9
g10
NtRp108135
(dp108136
g13
Nsg14
Nsg15
VFALSE
p108137
sbNg8
(g9
g10
NtRp108138
(dp108139
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/84036394-19fc-466f-bc4b-b0748d5d29f4.png
p108140
sbNg8
(g9
g10
NtRp108141
(dp108142
g13
Nsg14
Nsg15
V2019-06-04
p108143
sbNg8
(g9
g10
NtRp108144
(dp108145
g13
Nsg14
Nsg15
VElevation
p108146
sbNg8
(g9
g10
NtRp108147
(dp108148
g13
Nsg14
Nsg15
Vgrid
p108149
sbg8
(g9
g10
NtRp108150
(dp108151
g13
Nsg14
Nsg15
VGTiff
p108152
sbNg8
(g9
g10
NtRp108153
(dp108154
g13
Nsg14
Nsg15
V100m
p108155
sbNg8
(g9
g10
NtRp108156
(dp108157
g13
Nsg14
Nsg15
VThe data set was compiled by EEA and is derived from the GTOPO30 dataset (http://edcdaac.usgs.gov/gtopo30/gtopo30.html). The DTM was converted to raster (georefernced tiff) using Arcview and Grid Pig extension. The Caspian Sea border, the Africa depression and some areas from the Netherlands, all under sea level were corrected.\u000a				  The DTM was hillshaded using ArcMap and Spatial Analyst using following parametres: Azimuth: 315, Altitude: 45, Model shadows: Yes, Z factor: 10, Cell size: 1000 m.
p108158
sbg8
(g9
g10
NtRp108159
(dp108160
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84036394-19fc-466f-bc4b-b0748d5d29f4
p108161
sbNNg8
(g9
g10
NtRp108162
(dp108163
g13
Nsg14
Nsg15
VFALSE
p108164
sbNg8
(g9
g10
NtRp108165
(dp108166
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108167
sbg8
(g9
g10
NtRp108168
(dp108169
g13
Nsg14
Nsg15
VFALSE
p108170
sbg8
(g9
g10
NtRp108171
(dp108172
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108173
sbg8
(g9
g10
NtRp108174
(dp108175
g13
Nsg14
Nsg15
VFALSE
p108176
sbNNNNNNNg8
(g9
g10
NtRp108177
(dp108178
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108179
(dp108180
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108181
(dp108182
g13
Nsg14
Nsg15
Veea_r_777100_100_m_hillshade_1996
p108183
sbNNtp108184
a(g8
(g9
g10
NtRp108185
(dp108186
g13
Nsg14
Nsg15
Vd047cdb1-a62b-4299-8469-9038519430c0
p108187
sbNg8
(g9
g10
NtRp108188
(dp108189
g13
Nsg14
Nsg15
VCorine Land Cover 2000 Coastline
p108190
sbNNNNNg8
(g9
g10
NtRp108191
(dp108192
g13
Nsg14
Nsg15
VComplete Coastline Features for all the countries that produced Corine Land Cover 2000 and have a coastline, with detailed descriptions on the environment and type of coastal areas. Each coast segment has inherited CLC 2000 class, and also the attributes from Eurosion Coastline version 2.1 2004, regarding geomorphology, type of coast and erosion trends.
p108193
sbg8
(g23
g10
NtRp108194
(dp108195
g15
Vhttps://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-coastline
p108196
sbNg8
(g9
g10
NtRp108197
(dp108198
g13
Nsg14
Nsg15
VFALSE
p108199
sbNNNg8
(g9
g10
NtRp108200
(dp108201
g13
Nsg14
Nsg15
VFALSE
p108202
sbNNg8
(g9
g10
NtRp108203
(dp108204
g13
Nsg14
Nsg15
VFALSE
p108205
sbNNg8
(g9
g10
NtRp108206
(dp108207
g13
Nsg14
Nsg15
VFALSE
p108208
sbNg8
(g9
g10
NtRp108209
(dp108210
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d047cdb1-a62b-4299-8469-9038519430c0.png
p108211
sbNg8
(g9
g10
NtRp108212
(dp108213
g13
Nsg14
Nsg15
V2019-06-04
p108214
sbNg8
(g9
g10
NtRp108215
(dp108216
g13
Nsg14
Nsg15
VElevation
p108217
sbNg8
(g9
g10
NtRp108218
(dp108219
g13
Nsg14
Nsg15
Vvector
p108220
sbg8
(g9
g10
NtRp108221
(dp108222
g13
Nsg14
Nsg15
VSHP
p108223
sbNg8
(g9
g10
NtRp108224
(dp108225
g13
Nsg14
Nsg15
V1:100000
p108226
sbNg8
(g9
g10
NtRp108227
(dp108228
g13
Nsg14
Nsg15
VThe shape of this european coastline is based on the Corine Land Cover 2000 features. The intersection between Corine Land Cover 'sea and ocean' class and any other class was selected as the 'initial coastline'. Then the classes 'estuaries' and 'intertidal flats' were added to the marine environment if they were connected to the sea, having a direct connection to the sea, or through other 'estuaries' or 'intertidal flats'. This is the shape of the coastline, that has inherited the Corine Land Cover class attribute as well. The attributes from Eurosion coastline were added. Through a simple allocation process from the Eurosion coastline segments, and a identity procedure afterwards, the coastline was splitted in more segments, each of those inheriting the correspondent eurosion segment code.
p108229
sbg8
(g9
g10
NtRp108230
(dp108231
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d047cdb1-a62b-4299-8469-9038519430c0
p108232
sbNNg8
(g9
g10
NtRp108233
(dp108234
g13
Nsg14
Nsg15
VFALSE
p108235
sbNg8
(g9
g10
NtRp108236
(dp108237
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108238
sbg8
(g9
g10
NtRp108239
(dp108240
g13
Nsg14
Nsg15
VFALSE
p108241
sbg8
(g9
g10
NtRp108242
(dp108243
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108244
sbg8
(g9
g10
NtRp108245
(dp108246
g13
Nsg14
Nsg15
VFALSE
p108247
sbNNNNNNNg8
(g9
g10
NtRp108248
(dp108249
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108250
(dp108251
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108252
(dp108253
g13
Nsg14
Nsg15
Veea_v_4258_100_k_clc-coastline_2000
p108254
sbNNtp108255
a(g8
(g9
g10
NtRp108256
(dp108257
g13
Nsg14
Nsg15
V24cdf846-e0d3-4884-84c7-9930d5b29c38
p108258
sbNg8
(g9
g10
NtRp108259
(dp108260
g13
Nsg14
Nsg15
VLacoast - Land cover change in coastal areas 1975-1990
p108261
sbNNNNNg8
(g9
g10
NtRp108262
(dp108263
g13
Nsg14
Nsg15
VLaCoast is a research project undertaken in the mid 1990 under the lead of the Joint Research Centre (JRC) and aimed at quantifying the changes of land cover types in a 10 km land strip from the coastline. LaCoast uses CORINE Land Cover version 1990 as its reference dataset and track differences of land cover changes using LANDSAT satellite images from the mid-1970's.
p108264
sbNNg8
(g9
g10
NtRp108265
(dp108266
g13
Nsg14
Nsg15
VFALSE
p108267
sbNNNg8
(g9
g10
NtRp108268
(dp108269
g13
Nsg14
Nsg15
VFALSE
p108270
sbNNg8
(g9
g10
NtRp108271
(dp108272
g13
Nsg14
Nsg15
VFALSE
p108273
sbNNg8
(g9
g10
NtRp108274
(dp108275
g13
Nsg14
Nsg15
VFALSE
p108276
sbNg8
(g9
g10
NtRp108277
(dp108278
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/24cdf846-e0d3-4884-84c7-9930d5b29c38.png
p108279
sbNg8
(g9
g10
NtRp108280
(dp108281
g13
Nsg14
Nsg15
V2019-06-04
p108282
sbNg8
(g9
g10
NtRp108283
(dp108284
g13
Nsg14
Nsg15
VLand cover
p108285
sbNg8
(g9
g10
NtRp108286
(dp108287
g13
Nsg14
Nsg15
Vgrid
p108288
sbg8
(g9
g10
NtRp108289
(dp108290
g13
Nsg14
Nsg15
VAIG
p108291
sbNg8
(g9
g10
NtRp108292
(dp108293
g13
Nsg14
Nsg15
V100m
p108294
sbNg8
(g9
g10
NtRp108295
(dp108296
g13
Nsg14
Nsg15
Vn/a
p108297
sbg8
(g9
g10
NtRp108298
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p108309
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Veea_r_777101_100_m_lacoast_1975-1990
p108322
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p108326
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VNUTS 2006 plus Balkan Countries
p108329
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VThe 'GISCO NUTS 2006' dataset represents the NUTS regions by means of region, arc and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualise multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The Regulation (EC) No 1059/2003 of the European Parliament and of the Council on the establishment of a common classification of territorial units for statistics (NUTS) was enforced the 11 July 2003. This regulation provided the NUTS classification with a legal background. Since then, 12 new countries joined the European Union. The NUTS regulation was officially enforced in these 12 countries the day of their accession to the EU. A non official NUTS-like classification has been defined for the EFTA countries, Croatia and Turkey. For further information about the NUTS classification please check the RAMON Eurostat site at http://ec.europa.eu/comm/eurostat/ramon/nuts/home_regions_en.html At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions while the points provide a label for each region. Associated tables contain basic information such as the region's name. This feature class represents the polygon geometry of the 1:100.000 scale level of the NUTS regions. This shapefile was modified by the ETC-LUSI with the purpose of including this dataset into the LEAC System.
p108332
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p108335
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p108338
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p108362
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VInput Data from GISCO, NUTS 2006 version 010210, in particular the polygon version NUTS_RG_100K_2006 together with NUTS_AT_2006 where all the definitions are stored. The dataset was modified in order to include this information into the LEAC System. Country boundaries for the Balkan countries were extracted from the previous version of LEAC NUTS 2003 (nuts_balkan_countries) and included in this new version. Furthermore other changes were made in order to complete the dataset coverage with islands, lakes, etc. The final dbf table includes all the relationships among different NUTS levels as well as a combination of NUTS 0 2 and 3 called NUTS X.\u000aprocess steps:\u000a-Data was disaggregated by the field: "STAT_LEVL_CODE" into Country, NUTS 1, NUTS 2, NUTS 3. -Intersection of the four different layers: NUTS 0, 1, 2 and 3, in order to have all the definitions and relationships in one table.\u000a\u000a-Generation of NUTS Definition Tables for NUTS according to the previous definition tables for 2003 used in LEAC cubes.\u000a\u000aSome inconsistencies were found in the original file so they were fixed using the geometries from NUTS 2003 (nuts_balkan_countries). -Some isles were included: Man Island, Faroe Islands, -Some countries were missing or they were part of another countries such as: Monaco (It was included in France territory), San Marino (no data), Vatican City (no data), Andorra (no data), all these errors were corrected. - Boundaries for Balkan countries: Bosnia & Herzegovina, Serbia, Albania, Montenegro, Macedonia, Kosovo, were extracted from "nuts_balkan_countries.shp". - Lakes were extracted from NUTS_BN_100K_2006 Polyline. To complete the dataset missing lakes were extracted from "nuts_balkan_countries.shp" and included in the final version.
p108365
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p108371
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VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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p108377
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p108383
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sbNNg8
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p108394
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VThe Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\u000aThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\u000a\u000aThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\u000aAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\u000aThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf).\u000a\u000aThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.
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p108403
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Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f9a77a6-8f6f-4551-a158-82e138336a6f
p108439
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p108442
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p108445
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p108448
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p108451
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p108462
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p108465
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VThe Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\u000aThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\u000a\u000aThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\u000aAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\u000aThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf).\u000a\u000aThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.
p108468
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p108471
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p108477
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p108483
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VThe overall methodology consists in\u000a				  a) collecting the best available data from most reliable sources,\u000a				  b) establishing validation periods of the geographic features (when possible),\u000a				  c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS),\u000a				  d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf)\u000aBecause the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf).\u000aThe coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.
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VThe Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\u000aThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\u000a\u000aThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\u000aAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\u000aThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf).\u000a\u000aThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.
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VPostgis
p108566
sbNg8
(g9
g10
NtRp108567
(dp108568
g13
Nsg14
Nsg15
V1:1000000
p108569
sbNg8
(g9
g10
NtRp108570
(dp108571
g13
Nsg14
Nsg15
VThe overall methodology consists in\u000a				  a) collecting the best available data from most reliable sources,\u000a				  b) establishing validation periods of the geographic features (when possible),\u000a				  c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS),\u000a				  d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf)\u000aBecause the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf).\u000aThe coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.
p108572
sbg8
(g9
g10
NtRp108573
(dp108574
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68d5de61-3af4-4520-a877-49580c98c583
p108575
sbNNg8
(g9
g10
NtRp108576
(dp108577
g13
Nsg14
Nsg15
VFALSE
p108578
sbNg8
(g9
g10
NtRp108579
(dp108580
g13
Nsg14
Nsg15
VLicense
p108581
sbg8
(g9
g10
NtRp108582
(dp108583
g13
Nsg14
Nsg15
VFALSE
p108584
sbNg8
(g9
g10
NtRp108585
(dp108586
g13
Nsg14
Nsg15
VFALSE
p108587
sbNNNNNNNg8
(g9
g10
NtRp108588
(dp108589
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108590
(dp108591
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108592
(dp108593
g13
Nsg14
Nsg15
Vfao_v_4326_1_mio_gaul2_2008_rev2009
p108594
sbNNtp108595
a(g8
(g9
g10
NtRp108596
(dp108597
g13
Nsg14
Nsg15
Vcdb7af74-b12d-49f5-b716-bd64c7a0f864
p108598
sbNg8
(g9
g10
NtRp108599
(dp108600
g13
Nsg14
Nsg15
VNitrate Vulnerable Zones
p108601
sbNNNNNg8
(g9
g10
NtRp108602
(dp108603
g13
Nsg14
Nsg15
VData on designated nitrate vulnerable zones as submitted by Member States for monitoring progress of implementation of the Nitrate Directive (Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caused by nitrates from agricultural sources). This Directive has the objective of reducing water pollution caused or induced by nitrates from agricultural sources and preventing further such pollution. Waters affected by pollution and waters which could be affected by pollution if action pursuant Article 5 is not taken shall be identified by the Member States in accordance with the criteria set out in Annex I.
p108604
sbNNg8
(g9
g10
NtRp108605
(dp108606
g13
Nsg14
Nsg15
VFALSE
p108607
sbNNNg8
(g9
g10
NtRp108608
(dp108609
g13
Nsg14
Nsg15
VFALSE
p108610
sbNNg8
(g9
g10
NtRp108611
(dp108612
g13
Nsg14
Nsg15
VFALSE
p108613
sbNNg8
(g9
g10
NtRp108614
(dp108615
g13
Nsg14
Nsg15
VFALSE
p108616
sbNg8
(g9
g10
NtRp108617
(dp108618
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdb7af74-b12d-49f5-b716-bd64c7a0f864.png
p108619
sbNg8
(g9
g10
NtRp108620
(dp108621
g13
Nsg14
Nsg15
V2019-06-04
p108622
sbNg8
(g9
g10
NtRp108623
(dp108624
g13
Nsg14
Nsg15
VSoil
p108625
sbNg8
(g9
g10
NtRp108626
(dp108627
g13
Nsg14
Nsg15
Vvector
p108628
sbg8
(g9
g10
NtRp108629
(dp108630
g13
Nsg14
Nsg15
VSHP
p108631
sbNg8
(g9
g10
NtRp108632
(dp108633
g13
Nsg14
Nsg15
V1:100000
p108634
sbNg8
(g9
g10
NtRp108635
(dp108636
g13
Nsg14
Nsg15
VData quality depends from data provided by Member States
p108637
sbg8
(g9
g10
NtRp108638
(dp108639
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdb7af74-b12d-49f5-b716-bd64c7a0f864
p108640
sbNNg8
(g9
g10
NtRp108641
(dp108642
g13
Nsg14
Nsg15
VFALSE
p108643
sbNg8
(g9
g10
NtRp108644
(dp108645
g13
Nsg14
Nsg15
VLicense
p108646
sbg8
(g9
g10
NtRp108647
(dp108648
g13
Nsg14
Nsg15
VFALSE
p108649
sbNg8
(g9
g10
NtRp108650
(dp108651
g13
Nsg14
Nsg15
VFALSE
p108652
sbNNNNNNNg8
(g9
g10
NtRp108653
(dp108654
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108655
(dp108656
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108657
(dp108658
g13
Nsg14
Nsg15
Vjrc_v_4258_100_k_nvz_2006
p108659
sbNNtp108660
a(g8
(g9
g10
NtRp108661
(dp108662
g13
Nsg14
Nsg15
Vb98e32ad-f316-4a80-a176-30cba8bab017
p108663
sbNg8
(g9
g10
NtRp108664
(dp108665
g13
Nsg14
Nsg15
VEUNIS woodland, forest and other wooded land habitats, Braun-Blanquet project plot data (vector) - series
p108666
sbNNNNNg8
(g9
g10
NtRp108667
(dp108668
g13
Nsg14
Nsg15
VThis series references all EUNIS woodland, forest and other wooded land habitat types samples from vegetation plot data.
p108669
sbNNg8
(g9
g10
NtRp108670
(dp108671
g13
Nsg14
Nsg15
VFALSE
p108672
sbNNNg8
(g9
g10
NtRp108673
(dp108674
g13
Nsg14
Nsg15
VFALSE
p108675
sbNNg8
(g9
g10
NtRp108676
(dp108677
g13
Nsg14
Nsg15
VFALSE
p108678
sbNNg8
(g9
g10
NtRp108679
(dp108680
g13
Nsg14
Nsg15
VFALSE
p108681
sbNg8
(g9
g10
NtRp108682
(dp108683
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png
p108684
sbg8
(g9
g10
NtRp108685
(dp108686
g13
Nsg14
Nsg15
VEPSG:3035
p108687
sbg8
(g9
g10
NtRp108688
(dp108689
g13
Nsg14
Nsg15
V2019-06-04
p108690
sbNg8
(g9
g10
NtRp108691
(dp108692
g13
Nsg14
Nsg15
VHabitats and biotopes
p108693
sbg8
(g9
g10
NtRp108694
(dp108695
g13
Nsg14
Nsg15
Vforest|natural area|wood
p108696
sbg8
(g9
g10
NtRp108697
(dp108698
g13
Nsg14
Nsg15
Vvector
p108699
sbg8
(g9
g10
NtRp108700
(dp108701
g13
Nsg14
Nsg15
VSHP
p108702
sbNg8
(g9
g10
NtRp108703
(dp108704
g13
Nsg14
Nsg15
V1:10000000
p108705
sbNg8
(g9
g10
NtRp108706
(dp108707
g13
Nsg14
Nsg15
VThe data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.
p108708
sbg8
(g9
g10
NtRp108709
(dp108710
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b98e32ad-f316-4a80-a176-30cba8bab017
p108711
sbNNg8
(g9
g10
NtRp108712
(dp108713
g13
Nsg14
Nsg15
VFALSE
p108714
sbNg8
(g9
g10
NtRp108715
(dp108716
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108717
sbg8
(g9
g10
NtRp108718
(dp108719
g13
Nsg14
Nsg15
VFALSE
p108720
sbg8
(g9
g10
NtRp108721
(dp108722
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108723
sbg8
(g9
g10
NtRp108724
(dp108725
g13
Nsg14
Nsg15
VFALSE
p108726
sbNNNNNNNg8
(g9
g10
NtRp108727
(dp108728
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108729
(dp108730
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108731
(dp108732
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b_1940-2011_series
p108733
sbNNtp108734
a(g8
(g9
g10
NtRp108735
(dp108736
g13
Nsg14
Nsg15
Vd53acab8-6e1e-4703-b519-030212284f1c
p108737
sbNg8
(g9
g10
NtRp108738
(dp108739
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitats, predicted potential distribution of habitat suitability (raster) - series
p108740
sbNNNNNg8
(g9
g10
NtRp108741
(dp108742
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.
p108743
sbNNg8
(g9
g10
NtRp108744
(dp108745
g13
Nsg14
Nsg15
VFALSE
p108746
sbNNNg8
(g9
g10
NtRp108747
(dp108748
g13
Nsg14
Nsg15
VFALSE
p108749
sbNNg8
(g9
g10
NtRp108750
(dp108751
g13
Nsg14
Nsg15
VFALSE
p108752
sbNNg8
(g9
g10
NtRp108753
(dp108754
g13
Nsg14
Nsg15
VFALSE
p108755
sbNg8
(g9
g10
NtRp108756
(dp108757
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d53acab8-6e1e-4703-b519-030212284f1c.png
p108758
sbg8
(g9
g10
NtRp108759
(dp108760
g13
Nsg14
Nsg15
VEPSG:3035
p108761
sbg8
(g9
g10
NtRp108762
(dp108763
g13
Nsg14
Nsg15
V2019-06-04
p108764
sbNg8
(g9
g10
NtRp108765
(dp108766
g13
Nsg14
Nsg15
VHabitats and biotopes
p108767
sbg8
(g9
g10
NtRp108768
(dp108769
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p108770
sbg8
(g9
g10
NtRp108771
(dp108772
g13
Nsg14
Nsg15
Vgrid
p108773
sbg8
(g9
g10
NtRp108774
(dp108775
g13
Nsg14
Nsg15
VGTiff
p108776
sbNg8
(g9
g10
NtRp108777
(dp108778
g13
Nsg14
Nsg15
V1000m
p108779
sbNg8
(g9
g10
NtRp108780
(dp108781
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p108782
sbg8
(g9
g10
NtRp108783
(dp108784
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d53acab8-6e1e-4703-b519-030212284f1c
p108785
sbNNg8
(g9
g10
NtRp108786
(dp108787
g13
Nsg14
Nsg15
VFALSE
p108788
sbNg8
(g9
g10
NtRp108789
(dp108790
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108791
sbg8
(g9
g10
NtRp108792
(dp108793
g13
Nsg14
Nsg15
VFALSE
p108794
sbg8
(g9
g10
NtRp108795
(dp108796
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108797
sbg8
(g9
g10
NtRp108798
(dp108799
g13
Nsg14
Nsg15
VFALSE
p108800
sbNNNNNNNg8
(g9
g10
NtRp108801
(dp108802
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108803
(dp108804
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108805
(dp108806
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-f_1940-2011_series
p108807
sbNNtp108808
a(g8
(g9
g10
NtRp108809
(dp108810
g13
Nsg14
Nsg15
Vaf43952c-393b-426f-8660-01fccdf758eb
p108811
sbNg8
(g9
g10
NtRp108812
(dp108813
g13
Nsg14
Nsg15
VEUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability (raster) - series
p108814
sbNNNNNg8
(g9
g10
NtRp108815
(dp108816
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability.
p108817
sbNNg8
(g9
g10
NtRp108818
(dp108819
g13
Nsg14
Nsg15
VFALSE
p108820
sbNNNg8
(g9
g10
NtRp108821
(dp108822
g13
Nsg14
Nsg15
VFALSE
p108823
sbNNg8
(g9
g10
NtRp108824
(dp108825
g13
Nsg14
Nsg15
VFALSE
p108826
sbNNg8
(g9
g10
NtRp108827
(dp108828
g13
Nsg14
Nsg15
VFALSE
p108829
sbNg8
(g9
g10
NtRp108830
(dp108831
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png
p108832
sbg8
(g9
g10
NtRp108833
(dp108834
g13
Nsg14
Nsg15
VEPSG:3035
p108835
sbg8
(g9
g10
NtRp108836
(dp108837
g13
Nsg14
Nsg15
V2019-06-04
p108838
sbNg8
(g9
g10
NtRp108839
(dp108840
g13
Nsg14
Nsg15
VHabitats and biotopes
p108841
sbg8
(g9
g10
NtRp108842
(dp108843
g13
Nsg14
Nsg15
Vforest|natural area|wood
p108844
sbg8
(g9
g10
NtRp108845
(dp108846
g13
Nsg14
Nsg15
Vgrid
p108847
sbg8
(g9
g10
NtRp108848
(dp108849
g13
Nsg14
Nsg15
VAAIGrid
p108850
sbNg8
(g9
g10
NtRp108851
(dp108852
g13
Nsg14
Nsg15
V1000m
p108853
sbNg8
(g9
g10
NtRp108854
(dp108855
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p108856
sbg8
(g9
g10
NtRp108857
(dp108858
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af43952c-393b-426f-8660-01fccdf758eb
p108859
sbNNg8
(g9
g10
NtRp108860
(dp108861
g13
Nsg14
Nsg15
VFALSE
p108862
sbNg8
(g9
g10
NtRp108863
(dp108864
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108865
sbg8
(g9
g10
NtRp108866
(dp108867
g13
Nsg14
Nsg15
VFALSE
p108868
sbg8
(g9
g10
NtRp108869
(dp108870
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108871
sbg8
(g9
g10
NtRp108872
(dp108873
g13
Nsg14
Nsg15
VFALSE
p108874
sbNNNNNNNg8
(g9
g10
NtRp108875
(dp108876
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108877
(dp108878
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108879
(dp108880
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b_1940-2011_series
p108881
sbNNtp108882
a(g8
(g9
g10
NtRp108883
(dp108884
g13
Nsg14
Nsg15
V5bd6041e-ccad-42aa-b042-0596fbbae97d
p108885
sbNg8
(g9
g10
NtRp108886
(dp108887
g13
Nsg14
Nsg15
VEUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, predicted potential distribution of habitat suitability (raster) - series
p108888
sbNNNNNg8
(g9
g10
NtRp108889
(dp108890
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability.
p108891
sbNNg8
(g9
g10
NtRp108892
(dp108893
g13
Nsg14
Nsg15
VFALSE
p108894
sbNNNg8
(g9
g10
NtRp108895
(dp108896
g13
Nsg14
Nsg15
VFALSE
p108897
sbNNg8
(g9
g10
NtRp108898
(dp108899
g13
Nsg14
Nsg15
VFALSE
p108900
sbNNg8
(g9
g10
NtRp108901
(dp108902
g13
Nsg14
Nsg15
VFALSE
p108903
sbNg8
(g9
g10
NtRp108904
(dp108905
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png
p108906
sbg8
(g9
g10
NtRp108907
(dp108908
g13
Nsg14
Nsg15
VEPSG:3035
p108909
sbg8
(g9
g10
NtRp108910
(dp108911
g13
Nsg14
Nsg15
V2019-06-04
p108912
sbNg8
(g9
g10
NtRp108913
(dp108914
g13
Nsg14
Nsg15
VHabitats and biotopes
p108915
sbg8
(g9
g10
NtRp108916
(dp108917
g13
Nsg14
Nsg15
Vcoastal environment|natural area|terrestrial ecosystem
p108918
sbg8
(g9
g10
NtRp108919
(dp108920
g13
Nsg14
Nsg15
Vgrid
p108921
sbg8
(g9
g10
NtRp108922
(dp108923
g13
Nsg14
Nsg15
VAAIGrid
p108924
sbNg8
(g9
g10
NtRp108925
(dp108926
g13
Nsg14
Nsg15
V1000m
p108927
sbNg8
(g9
g10
NtRp108928
(dp108929
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p108930
sbg8
(g9
g10
NtRp108931
(dp108932
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bd6041e-ccad-42aa-b042-0596fbbae97d
p108933
sbNNg8
(g9
g10
NtRp108934
(dp108935
g13
Nsg14
Nsg15
VFALSE
p108936
sbNg8
(g9
g10
NtRp108937
(dp108938
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p108939
sbg8
(g9
g10
NtRp108940
(dp108941
g13
Nsg14
Nsg15
VFALSE
p108942
sbg8
(g9
g10
NtRp108943
(dp108944
g13
Nsg14
Nsg15
VEuropean Environment Agency
p108945
sbg8
(g9
g10
NtRp108946
(dp108947
g13
Nsg14
Nsg15
VFALSE
p108948
sbNNNNNNNg8
(g9
g10
NtRp108949
(dp108950
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp108951
(dp108952
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp108953
(dp108954
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b_1940-2011_series
p108955
sbNNtp108956
a(g8
(g9
g10
NtRp108957
(dp108958
g13
Nsg14
Nsg15
Vc7cb5abf-0a64-4dff-89f9-da1002e1fd6a
p108959
sbNg8
(g9
g10
NtRp108960
(dp108961
g13
Nsg14
Nsg15
VEUNIS coastal habitats, Braun-Blanquet project plot data (vector) - series
p108962
sbNNNNNg8
(g9
g10
NtRp108963
(dp108964
g13
Nsg14
Nsg15
VThis series references all EUNIS coastal habitat types samples from vegetation plot data.
p108965
sbNNg8
(g9
g10
NtRp108966
(dp108967
g13
Nsg14
Nsg15
VFALSE
p108968
sbNNNg8
(g9
g10
NtRp108969
(dp108970
g13
Nsg14
Nsg15
VFALSE
p108971
sbNNg8
(g9
g10
NtRp108972
(dp108973
g13
Nsg14
Nsg15
VFALSE
p108974
sbNNg8
(g9
g10
NtRp108975
(dp108976
g13
Nsg14
Nsg15
VFALSE
p108977
sbNg8
(g9
g10
NtRp108978
(dp108979
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png
p108980
sbg8
(g9
g10
NtRp108981
(dp108982
g13
Nsg14
Nsg15
VEPSG:3035
p108983
sbg8
(g9
g10
NtRp108984
(dp108985
g13
Nsg14
Nsg15
V2019-06-04
p108986
sbNg8
(g9
g10
NtRp108987
(dp108988
g13
Nsg14
Nsg15
VHabitats and biotopes
p108989
sbg8
(g9
g10
NtRp108990
(dp108991
g13
Nsg14
Nsg15
Vcoastal environment|natural area|terrestrial ecosystem
p108992
sbg8
(g9
g10
NtRp108993
(dp108994
g13
Nsg14
Nsg15
Vvector
p108995
sbg8
(g9
g10
NtRp108996
(dp108997
g13
Nsg14
Nsg15
VSHP
p108998
sbNg8
(g9
g10
NtRp108999
(dp109000
g13
Nsg14
Nsg15
V1:10000000
p109001
sbNg8
(g9
g10
NtRp109002
(dp109003
g13
Nsg14
Nsg15
VThe data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.
p109004
sbg8
(g9
g10
NtRp109005
(dp109006
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a
p109007
sbNNg8
(g9
g10
NtRp109008
(dp109009
g13
Nsg14
Nsg15
VFALSE
p109010
sbNg8
(g9
g10
NtRp109011
(dp109012
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p109013
sbg8
(g9
g10
NtRp109014
(dp109015
g13
Nsg14
Nsg15
VFALSE
p109016
sbg8
(g9
g10
NtRp109017
(dp109018
g13
Nsg14
Nsg15
VEuropean Environment Agency
p109019
sbg8
(g9
g10
NtRp109020
(dp109021
g13
Nsg14
Nsg15
VFALSE
p109022
sbNNNNNNNg8
(g9
g10
NtRp109023
(dp109024
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp109025
(dp109026
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp109027
(dp109028
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-b_1940-2011_series
p109029
sbNNtp109030
a(g8
(g9
g10
NtRp109031
(dp109032
g13
Nsg14
Nsg15
V936e55b2-7624-4b67-b1e6-6e40366b3a10
p109033
sbNg8
(g9
g10
NtRp109034
(dp109035
g13
Nsg14
Nsg15
VEUNIS coastal habitats, predicted potential distribution of habitat suitability (raster) - series
p109036
sbNNNNNg8
(g9
g10
NtRp109037
(dp109038
g13
Nsg14
Nsg15
VThis series references the predicted potential distribution of EUNIS coastal habitat suitability.
p109039
sbNNg8
(g9
g10
NtRp109040
(dp109041
g13
Nsg14
Nsg15
VFALSE
p109042
sbNNNg8
(g9
g10
NtRp109043
(dp109044
g13
Nsg14
Nsg15
VFALSE
p109045
sbNNg8
(g9
g10
NtRp109046
(dp109047
g13
Nsg14
Nsg15
VFALSE
p109048
sbNNg8
(g9
g10
NtRp109049
(dp109050
g13
Nsg14
Nsg15
VFALSE
p109051
sbNg8
(g9
g10
NtRp109052
(dp109053
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png
p109054
sbg8
(g9
g10
NtRp109055
(dp109056
g13
Nsg14
Nsg15
VEPSG:3035
p109057
sbg8
(g9
g10
NtRp109058
(dp109059
g13
Nsg14
Nsg15
V2019-06-04
p109060
sbNg8
(g9
g10
NtRp109061
(dp109062
g13
Nsg14
Nsg15
VHabitats and biotopes
p109063
sbg8
(g9
g10
NtRp109064
(dp109065
g13
Nsg14
Nsg15
Vcoastal environment|natural area|terrestrial ecosystem
p109066
sbg8
(g9
g10
NtRp109067
(dp109068
g13
Nsg14
Nsg15
Vgrid
p109069
sbg8
(g9
g10
NtRp109070
(dp109071
g13
Nsg14
Nsg15
VAAIGrid
p109072
sbNg8
(g9
g10
NtRp109073
(dp109074
g13
Nsg14
Nsg15
V1000m
p109075
sbNg8
(g9
g10
NtRp109076
(dp109077
g13
Nsg14
Nsg15
VThe data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \u000aThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).
p109078
sbg8
(g9
g10
NtRp109079
(dp109080
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/936e55b2-7624-4b67-b1e6-6e40366b3a10
p109081
sbNNg8
(g9
g10
NtRp109082
(dp109083
g13
Nsg14
Nsg15
VFALSE
p109084
sbNg8
(g9
g10
NtRp109085
(dp109086
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p109087
sbg8
(g9
g10
NtRp109088
(dp109089
g13
Nsg14
Nsg15
VFALSE
p109090
sbg8
(g9
g10
NtRp109091
(dp109092
g13
Nsg14
Nsg15
VEuropean Environment Agency
p109093
sbg8
(g9
g10
NtRp109094
(dp109095
g13
Nsg14
Nsg15
VFALSE
p109096
sbNNNNNNNg8
(g9
g10
NtRp109097
(dp109098
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp109099
(dp109100
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp109101
(dp109102
g13
Nsg14
Nsg15
Veea_r_3035_1_km_eunis-hab-b_1940-2011_series
p109103
sbNNtp109104
a(g8
(g9
g10
NtRp109105
(dp109106
g13
Nsg14
Nsg15
Vb0767dbe-43cf-4294-8d89-f99f18d872ae
p109107
sbNg8
(g9
g10
NtRp109108
(dp109109
g13
Nsg14
Nsg15
VEUNIS heathland, scrub and tundra habitats, Braun-Blanquet project plot data (vector) - series
p109110
sbNNNNNg8
(g9
g10
NtRp109111
(dp109112
g13
Nsg14
Nsg15
VThis series references all heathland, scrub and tundra habitat types samples from vegetation plot data.
p109113
sbNNg8
(g9
g10
NtRp109114
(dp109115
g13
Nsg14
Nsg15
VFALSE
p109116
sbNNNg8
(g9
g10
NtRp109117
(dp109118
g13
Nsg14
Nsg15
VFALSE
p109119
sbNNg8
(g9
g10
NtRp109120
(dp109121
g13
Nsg14
Nsg15
VFALSE
p109122
sbNNg8
(g9
g10
NtRp109123
(dp109124
g13
Nsg14
Nsg15
VFALSE
p109125
sbNg8
(g9
g10
NtRp109126
(dp109127
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0767dbe-43cf-4294-8d89-f99f18d872ae.png
p109128
sbg8
(g9
g10
NtRp109129
(dp109130
g13
Nsg14
Nsg15
VEPSG:3035
p109131
sbg8
(g9
g10
NtRp109132
(dp109133
g13
Nsg14
Nsg15
V2019-06-04
p109134
sbNg8
(g9
g10
NtRp109135
(dp109136
g13
Nsg14
Nsg15
VHabitats and biotopes
p109137
sbg8
(g9
g10
NtRp109138
(dp109139
g13
Nsg14
Nsg15
Vheathland|natural area|terrestrial ecosystem|tundra
p109140
sbg8
(g9
g10
NtRp109141
(dp109142
g13
Nsg14
Nsg15
Vvector
p109143
sbg8
(g9
g10
NtRp109144
(dp109145
g13
Nsg14
Nsg15
VSHP
p109146
sbNg8
(g9
g10
NtRp109147
(dp109148
g13
Nsg14
Nsg15
V1:10000000
p109149
sbNg8
(g9
g10
NtRp109150
(dp109151
g13
Nsg14
Nsg15
VThe data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.
p109152
sbg8
(g9
g10
NtRp109153
(dp109154
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0767dbe-43cf-4294-8d89-f99f18d872ae
p109155
sbg8
(g9
g10
NtRp109156
(dp109157
g13
Nsg14
g74
sg15
V1940
p109158
sbg8
(g9
g10
NtRp109159
(dp109160
g13
Nsg14
g74
sg15
V2011
p109161
sbg8
(g9
g10
NtRp109162
(dp109163
g13
Nsg14
Nsg15
VTRUE
p109164
sbNg8
(g9
g10
NtRp109165
(dp109166
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p109167
sbg8
(g9
g10
NtRp109168
(dp109169
g13
Nsg14
Nsg15
VFALSE
p109170
sbg8
(g9
g10
NtRp109171
(dp109172
g13
Nsg14
Nsg15
VEuropean Environment Agency
p109173
sbg8
(g9
g10
NtRp109174
(dp109175
g13
Nsg14
Nsg15
VFALSE
p109176
sbNNNNNNNg8
(g9
g10
NtRp109177
(dp109178
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp109179
(dp109180
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp109181
(dp109182
g13
Nsg14
Nsg15
Veea_v_3035_10_mio_eunis-hab-f_1940-2011_series
p109183
sbNNtp109184
a(g8
(g9
g10
NtRp109185
(dp109186
g13
Nsg14
Nsg15
Vd9aaec80-0d51-42de-97ba-11ab219c2ba4
p109187
sbNg8
(g9
g10
NtRp109188
(dp109189
g13
Nsg14
Nsg15
VCorine Land Cover 2000 (raster 250m) - series
p109190
sbNNNNNg8
(g9
g10
NtRp109191
(dp109192
g13
Nsg14
Nsg15
VThis series references all versions of Corine Land Cover 2000, raster 250m starting with version 13.\u000a\u000aWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \u000a\u000aCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.
p109193
sbNNg8
(g9
g10
NtRp109194
(dp109195
g13
Nsg14
Nsg15
VFALSE
p109196
sbNNNg8
(g9
g10
NtRp109197
(dp109198
g13
Nsg14
Nsg15
VFALSE
p109199
sbNNg8
(g9
g10
NtRp109200
(dp109201
g13
Nsg14
Nsg15
VFALSE
p109202
sbNNg8
(g9
g10
NtRp109203
(dp109204
g13
Nsg14
Nsg15
VFALSE
p109205
sbNg8
(g9
g10
NtRp109206
(dp109207
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9aaec80-0d51-42de-97ba-11ab219c2ba4.png
p109208
sbg8
(g9
g10
NtRp109209
(dp109210
g13
Nsg14
Nsg15
VEPSG:3035
p109211
sbg8
(g9
g10
NtRp109212
(dp109213
g13
Nsg14
Nsg15
V2019-06-04
p109214
sbNg8
(g9
g10
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VCorine Land Cover 1990 (raster 250m) - series
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VThis series references all versions of Corine Land Cover 2000 - 2006 changes vector starting with version 13.\u000a\u000aCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\u000a\u000aThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\u000a\u000aCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.
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Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee8dc6b4-017d-4dc5-b970-e071c1d140bd
p110031
sbNNg8
(g9
g10
NtRp110032
(dp110033
g13
Nsg14
Nsg15
VFALSE
p110034
sbNg8
(g9
g10
NtRp110035
(dp110036
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p110037
sbg8
(g9
g10
NtRp110038
(dp110039
g13
Nsg14
Nsg15
VFALSE
p110040
sbg8
(g9
g10
NtRp110041
(dp110042
g13
Nsg14
Nsg15
VEuropean Environment Agency
p110043
sbg8
(g9
g10
NtRp110044
(dp110045
g13
Nsg14
Nsg15
VFALSE
p110046
sbNNNNNNNg8
(g9
g10
NtRp110047
(dp110048
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp110049
(dp110050
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp110051
(dp110052
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_2000-2006_rev13_series
p110053
sbNNtp110054
a(g8
(g9
g10
NtRp110055
(dp110056
g13
Nsg14
Nsg15
V24129a43-4bc6-403a-aab8-7f500e69f8be
p110057
sbNg8
(g9
g10
NtRp110058
(dp110059
g13
Nsg14
Nsg15
VUrban Morphological Zones 1990 (vector) - series
p110060
sbNNNNNg8
(g9
g10
NtRp110061
(dp110062
g13
Nsg14
Nsg15
VThis series references all versions of Urban Morphological Zones 1990 (vector) starting with version 13.\u000aA UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 1990, by means of a methodology explained for each version of the dataset.
p110063
sbNNg8
(g9
g10
NtRp110064
(dp110065
g13
Nsg14
Nsg15
VFALSE
p110066
sbNNNg8
(g9
g10
NtRp110067
(dp110068
g13
Nsg14
Nsg15
VFALSE
p110069
sbNNg8
(g9
g10
NtRp110070
(dp110071
g13
Nsg14
Nsg15
VFALSE
p110072
sbNNg8
(g9
g10
NtRp110073
(dp110074
g13
Nsg14
Nsg15
VFALSE
p110075
sbNg8
(g9
g10
NtRp110076
(dp110077
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/24129a43-4bc6-403a-aab8-7f500e69f8be.png
p110078
sbg8
(g9
g10
NtRp110079
(dp110080
g13
Nsg14
Nsg15
VEPSG:3035
p110081
sbg8
(g9
g10
NtRp110082
(dp110083
g13
Nsg14
Nsg15
V2019-06-05
p110084
sbNg8
(g9
g10
NtRp110085
(dp110086
g13
Nsg14
Nsg15
VLand cover
p110087
sbNg8
(g9
g10
NtRp110088
(dp110089
g13
Nsg14
Nsg15
Vvector
p110090
sbNNg8
(g9
g10
NtRp110091
(dp110092
g13
Nsg14
Nsg15
V1:100000
p110093
sbNg8
(g9
g10
NtRp110094
(dp110095
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 1990 raster (100m) \u000aThe processing steps are described for each dataset in this series.
p110096
sbg8
(g9
g10
NtRp110097
(dp110098
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24129a43-4bc6-403a-aab8-7f500e69f8be
p110099
sbNNg8
(g9
g10
NtRp110100
(dp110101
g13
Nsg14
Nsg15
VFALSE
p110102
sbNg8
(g9
g10
NtRp110103
(dp110104
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p110105
sbg8
(g9
g10
NtRp110106
(dp110107
g13
Nsg14
Nsg15
VFALSE
p110108
sbg8
(g9
g10
NtRp110109
(dp110110
g13
Nsg14
Nsg15
VEuropean Environment Agency
p110111
sbg8
(g9
g10
NtRp110112
(dp110113
g13
Nsg14
Nsg15
VFALSE
p110114
sbNNNNNNNg8
(g9
g10
NtRp110115
(dp110116
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp110117
(dp110118
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp110119
(dp110120
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_1990_series
p110121
sbNNtp110122
a(g8
(g9
g10
NtRp110123
(dp110124
g13
Nsg14
Nsg15
Ve3e96a46-7118-4bb2-9d01-76254a034a8a
p110125
sbNg8
(g9
g10
NtRp110126
(dp110127
g13
Nsg14
Nsg15
VUrban Morphological Zones Changes between 1990 and 2000 (vector) - series
p110128
sbNNNNNg8
(g9
g10
NtRp110129
(dp110130
g13
Nsg14
Nsg15
VThis series references all versions of Urban Morphological Zones Changes between 1990 and 2000 (vector) starting with version 13.\u000a\u000aMost changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).
p110131
sbNNg8
(g9
g10
NtRp110132
(dp110133
g13
Nsg14
Nsg15
VFALSE
p110134
sbNNNg8
(g9
g10
NtRp110135
(dp110136
g13
Nsg14
Nsg15
VFALSE
p110137
sbNNg8
(g9
g10
NtRp110138
(dp110139
g13
Nsg14
Nsg15
VFALSE
p110140
sbNNg8
(g9
g10
NtRp110141
(dp110142
g13
Nsg14
Nsg15
VFALSE
p110143
sbNg8
(g9
g10
NtRp110144
(dp110145
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/e3e96a46-7118-4bb2-9d01-76254a034a8a.png
p110146
sbg8
(g9
g10
NtRp110147
(dp110148
g13
Nsg14
Nsg15
VEPSG:3035
p110149
sbg8
(g9
g10
NtRp110150
(dp110151
g13
Nsg14
Nsg15
V2019-06-05
p110152
sbNg8
(g9
g10
NtRp110153
(dp110154
g13
Nsg14
Nsg15
VLand cover
p110155
sbNg8
(g9
g10
NtRp110156
(dp110157
g13
Nsg14
Nsg15
Vvector
p110158
sbNNg8
(g9
g10
NtRp110159
(dp110160
g13
Nsg14
Nsg15
V1:100000
p110161
sbNg8
(g9
g10
NtRp110162
(dp110163
g13
Nsg14
Nsg15
VInput data:\u000a - Urban Morphological Zones 1990 (vector)\u000a - Urban Morphological Zones 2000 (vector)\u000a\u000aThe processing steps are described for each dataset in this series.
p110164
sbg8
(g9
g10
NtRp110165
(dp110166
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e3e96a46-7118-4bb2-9d01-76254a034a8a
p110167
sbNNg8
(g9
g10
NtRp110168
(dp110169
g13
Nsg14
Nsg15
VFALSE
p110170
sbNg8
(g9
g10
NtRp110171
(dp110172
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p110173
sbg8
(g9
g10
NtRp110174
(dp110175
g13
Nsg14
Nsg15
VFALSE
p110176
sbg8
(g9
g10
NtRp110177
(dp110178
g13
Nsg14
Nsg15
VEuropean Environment Agency
p110179
sbg8
(g9
g10
NtRp110180
(dp110181
g13
Nsg14
Nsg15
VFALSE
p110182
sbNNNNNNNg8
(g9
g10
NtRp110183
(dp110184
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp110185
(dp110186
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp110187
(dp110188
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz-changes_1990-2000_series
p110189
sbNNtp110190
a(g8
(g9
g10
NtRp110191
(dp110192
g13
Nsg14
Nsg15
V6e5d9b0d-a448-4c73-b008-bdd98a3cf214
p110193
sbNg8
(g9
g10
NtRp110194
(dp110195
g13
Nsg14
Nsg15
VUrban Morphological Zones 2006 (vector) - series
p110196
sbNNNNNg8
(g9
g10
NtRp110197
(dp110198
g13
Nsg14
Nsg15
VThis series references all versions of Urban Morphological Zones 2006 (vector) starting with version 13.\u000aA UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2006, by means of a methodology explained for each version of the dataset.
p110199
sbNNg8
(g9
g10
NtRp110200
(dp110201
g13
Nsg14
Nsg15
VFALSE
p110202
sbNNNg8
(g9
g10
NtRp110203
(dp110204
g13
Nsg14
Nsg15
VFALSE
p110205
sbNNg8
(g9
g10
NtRp110206
(dp110207
g13
Nsg14
Nsg15
VFALSE
p110208
sbNNg8
(g9
g10
NtRp110209
(dp110210
g13
Nsg14
Nsg15
VFALSE
p110211
sbNg8
(g9
g10
NtRp110212
(dp110213
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e5d9b0d-a448-4c73-b008-bdd98a3cf214.png
p110214
sbg8
(g9
g10
NtRp110215
(dp110216
g13
Nsg14
Nsg15
VEPSG:3035
p110217
sbg8
(g9
g10
NtRp110218
(dp110219
g13
Nsg14
Nsg15
V2019-06-05
p110220
sbNg8
(g9
g10
NtRp110221
(dp110222
g13
Nsg14
Nsg15
VLand cover
p110223
sbNg8
(g9
g10
NtRp110224
(dp110225
g13
Nsg14
Nsg15
Vvector
p110226
sbNNg8
(g9
g10
NtRp110227
(dp110228
g13
Nsg14
Nsg15
V1:100000
p110229
sbNg8
(g9
g10
NtRp110230
(dp110231
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 2006 raster (100m) \u000aThe processing steps are described for each dataset in this series.
p110232
sbg8
(g9
g10
NtRp110233
(dp110234
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e5d9b0d-a448-4c73-b008-bdd98a3cf214
p110235
sbNNg8
(g9
g10
NtRp110236
(dp110237
g13
Nsg14
Nsg15
VFALSE
p110238
sbNg8
(g9
g10
NtRp110239
(dp110240
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p110241
sbg8
(g9
g10
NtRp110242
(dp110243
g13
Nsg14
Nsg15
VFALSE
p110244
sbg8
(g9
g10
NtRp110245
(dp110246
g13
Nsg14
Nsg15
VEuropean Environment Agency
p110247
sbg8
(g9
g10
NtRp110248
(dp110249
g13
Nsg14
Nsg15
VFALSE
p110250
sbNNNNNNNg8
(g9
g10
NtRp110251
(dp110252
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp110253
(dp110254
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp110255
(dp110256
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_2006_series
p110257
sbNNtp110258
a(g8
(g9
g10
NtRp110259
(dp110260
g13
Nsg14
Nsg15
Vbfa6636e-55e1-4642-acbe-3a3bd951b798
p110261
sbNg8
(g9
g10
NtRp110262
(dp110263
g13
Nsg14
Nsg15
VUrban Morphological Zones 2000 (vector) - series
p110264
sbNNNNNg8
(g9
g10
NtRp110265
(dp110266
g13
Nsg14
Nsg15
VThis series references all versions of Urban Morphological Zones 2000 (vector) starting with version 13.\u000aA UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2000, by means of a methodology explained for each version of the dataset.
p110267
sbNNg8
(g9
g10
NtRp110268
(dp110269
g13
Nsg14
Nsg15
VFALSE
p110270
sbNNNg8
(g9
g10
NtRp110271
(dp110272
g13
Nsg14
Nsg15
VFALSE
p110273
sbNNg8
(g9
g10
NtRp110274
(dp110275
g13
Nsg14
Nsg15
VFALSE
p110276
sbNNg8
(g9
g10
NtRp110277
(dp110278
g13
Nsg14
Nsg15
VFALSE
p110279
sbNg8
(g9
g10
NtRp110280
(dp110281
g13
Nsg14
Nsg15
Vhttps://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfa6636e-55e1-4642-acbe-3a3bd951b798.png
p110282
sbg8
(g9
g10
NtRp110283
(dp110284
g13
Nsg14
Nsg15
VEPSG:3035
p110285
sbg8
(g9
g10
NtRp110286
(dp110287
g13
Nsg14
Nsg15
V2019-06-05
p110288
sbNg8
(g9
g10
NtRp110289
(dp110290
g13
Nsg14
Nsg15
VLand cover
p110291
sbNg8
(g9
g10
NtRp110292
(dp110293
g13
Nsg14
Nsg15
Vvector
p110294
sbNNg8
(g9
g10
NtRp110295
(dp110296
g13
Nsg14
Nsg15
V1:100000
p110297
sbNg8
(g9
g10
NtRp110298
(dp110299
g13
Nsg14
Nsg15
VInput data: Corine Land Cover 2000 raster (100m) \u000aThe processing steps are described for each dataset in this series.
p110300
sbg8
(g9
g10
NtRp110301
(dp110302
g13
Nsg14
Nsg15
Vhttp://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfa6636e-55e1-4642-acbe-3a3bd951b798
p110303
sbNNg8
(g9
g10
NtRp110304
(dp110305
g13
Nsg14
Nsg15
VFALSE
p110306
sbNg8
(g9
g10
NtRp110307
(dp110308
g13
Nsg14
Nsg15
VEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
p110309
sbg8
(g9
g10
NtRp110310
(dp110311
g13
Nsg14
Nsg15
VFALSE
p110312
sbg8
(g9
g10
NtRp110313
(dp110314
g13
Nsg14
Nsg15
VEuropean Environment Agency
p110315
sbg8
(g9
g10
NtRp110316
(dp110317
g13
Nsg14
Nsg15
VFALSE
p110318
sbNNNNNNNg8
(g9
g10
NtRp110319
(dp110320
g13
Nsg14
Nsg15
V
sbg8
(g9
g10
NtRp110321
(dp110322
g13
Nsg14
Nsg15
V
sbNNg8
(g9
g10
NtRp110323
(dp110324
g13
Nsg14
Nsg15
Veea_v_3035_100_k_umz_2000_series
p110325
sbNNtp110326
asS'var_names'
p110327
(lp110328
VsdiUuid
p110329
aVshortName
p110330
aVtitle
p110331
aVtopics
p110332
aVwebmapViewer
p110333
aVwebmapService
p110334
aVstaticMapViewer
p110335
aVinteractiveDataViewer
p110336
aVabstract
p110337
aVdataUrl
p110338
aVdataLatestVersion
p110339
aVisCoreFlag
p110340
aVindicatorCodes
p110341
aVindicatorTitle
p110342
aVindicatorUrl
p110343
aVindicatorFlag
p110344
aVlegislativeInstrument
p110345
aVlegislativeInstrumentUrl
p110346
aVlegislativeInstrumentFlag
p110347
aVrod
p110348
aVrodUrl
p110349
aVrodFlag
p110350
aVmanagementPlan
p110351
aVthumbnailUrl
p110352
aVcrs
p110353
aVpublicationDate
p110354
aVcontactPerson
p110355
aVinspireThemes
p110356
aVgemetConcepts
p110357
aVformat
p110358
aVdistributionFormat
p110359
aVfileSystemPath
p110360
aVspatialResolution
p110361
aVtemporalCoverage
p110362
aVlineage
p110363
aVsdiUrl
p110364
aVtbegin
p110365
aVtend
p110366
aVtimeSeriesAvailability
p110367
aVplacesCovered
p110368
aVsdiUseLimitation
p110369
aVreferenceFlag
p110370
aVcontactOrganisation
p110371
aVisRestricted
p110372
aVassociatedResources
p110373
aVsdiWlon
p110374
aVsdiElon
p110375
aVsdiSlat
p110376
aVsdiNlat
p110377
aVsdiCentroidLon
p110378
aVsdiCentroidLat
p110379
aVgeoJsonPoly
p110380
aVgeoJsonPoint
p110381
aVidpTopics
p110382
aVrestApi
p110383
aVsdiDatasetId
p110384
aVdataProductID
p110385
aVstatus
p110386
asS'has_result'
p110387
Nss.