External datasets catalogue

Energy modelling — 16 Nov 2016

The European Commission’s policy decisions are underpinned by thorough analyses and impact assessments. A wide range of mathematical models and tools are used to explore policy proposals and evaluate their potential energy, transport, economic, social and environmental consequences. Models assess the effectiveness of policies already in place as well as the likely impact of policy proposals.

Gray Earth with Shaded Relief and Hypsography — 08 Nov 2016

NASA Remote Sensing data — 08 Nov 2016

Good Agricultural Environmental Conditions (GAEC 2010) — 07 Nov 2016

Good agricultural and environmental conditions, abbreviated as GAEC, refers to a set of  European Union (EU)  standards (described in Annex III of  Council Regulation 73/2009 ) defined at national or regional level, aiming at a  sustainable  agriculture. Keeping land in good agricultural and environmental conditions is directly related to issues such as: maintaining the total area of  permanent pasture . minimum level of maintenance; protection and management of water; soil erosion; soil organic matter; soil structure; These standards are to be respected by European farmers receiving direct payments or some of the rural development payments.

LUCAS Earth Observations 2012 — 07 Nov 2016

Each file contains the data for one country. This release includes all variables. 

Agri-environmental indicator - soil cover 2010 — 07 Nov 2016

This background article contains a fact sheet of the  European Union (EU)   agri-environmental indicator (AEI)   soil cover . It consists of an overview of recent data, complemented by all information on  definitions ,  measurement methods  and  context  needed to interpret them correctly. This article is part of a set of  similar fact sheets  providing a complete picture of the state of the agri-environmental indicators in the EU.

Agri-environmental indicator - tillage practices 2010 — 07 Nov 2016

This article provides a fact sheet of the  European Union (EU)   agri-environmental indicator   tillage practices . It consists of an overview of recent data, complemented by all information on  definitions ,  measurement methods  and  context  needed to interpret them correctly. The tillage practices article is part of a  set of similar fact sheets  providing a complete picture of the state of the agri-environmental indicators in the EU.

Eurostat Crop Statistics — 07 Nov 2016

COPERNICUS Remote Sensing data — 07 Nov 2016

The pan-European component is coordinated by the European Environment Agency (EEA) and produces satellite image mosaics, land cover / land use (LC/LU) information in the CORINE Land Cover data, and the High Resolution Layers.  The CORINE Land Cover is provided for 1990, 2000, 2006 and 2012. This vector-based dataset includes 44 land cover and land use classes. The time-series also includes a land-change layer, highlighting changes in land cover and land-use. The high-resolution layers (HRL) are raster-based datasets which provides information about different land cover characteristics and is complementary to land-cover mapping (e.g. CORINE) datasets. Five HRLs describe some of the main land cover characteristics: impervious (sealed) surfaces (e.g. roads and built up areas), forest areas, (semi-) natural grasslands, wetlands, and permanent water bodies. The High-Resolution Image Mosaic is a seamless pan-European ortho-rectified raster mosaic based on satellite imagery covering 39 countries. 

Rainfall Erosivity Database at European Scale (REDES) — 07 Nov 2016

This map provides a complete rainfall erosivity dataset for European Union (28 member States) and Switzerland based on 1541 precipitation stations and 26,394 years of measurements. Gaussian Process Regression(GPR) model was used to interpolate the rainfall erosivity values of single stations and to generate the R-factor map.  Pixel size : 500m  Measurement Unit : MJ mm ha -1  h -1  yr -1 Projection : ETRS89 Lambert Azimuthal Equal Area  Temporal coverage : 40 years - Predominant in the last decade: 2000 - 2010

Entity to delete — 07 Nov 2016

European Soil Database For the convenience of the user, a number of 1kmx1km raster data sets have been derived from the European Soil Database (ESDB) v2.0.  It is stressed that these rasters are an interpretation of the data contained in the ESDB v2.0  The basis for these data is the European Soil Database v2.0, which is fully documented  here . Below is the documentation on the ESDB v2 - Raster Library 1kmx1km.

European Soil Database (dataset URL is not directly available) — 07 Nov 2016

For the convenience of the user, a number of 1kmx1km raster data sets have been derived from the European Soil Database (ESDB) v2.0.  It is stressed that these rasters are an interpretation of the data contained in the ESDB v2.0  The basis for these data is the European Soil Database v2.0, which is fully documented  here . Below is the documentation on the ESDB v2 - Raster Library 1kmx1km.

LUCAS Topsoil 2009 — 07 Nov 2016

LUCAS_TOPSOIL_v1: an Excel file that contains the geographical coordinates of the location where the data were sampled and for each location the values for a number of properties. LUCAS_TOPSOIL_v1_spectral consists of a file that contains the multispectral reflectance data (format available: RDATA) The LUCAS_TOPSOIL data are covered by a  Privacy Statement .

Greenhouse gas projections — 03 Nov 2016

The Icelandic National Renewable Energy Action Plan for the promotion of the use of energy from renewable sources in accordance with Directive 2009/28/EC and the Commission Decision of 30 June 2009 on a template fo — 03 Nov 2016

EEA Agreement Annex IV on Energy — 03 Nov 2016

Approximated greenhouse gas emissions — 03 Nov 2016

Greenhouse gas Monitoring Mechanism Regulation (MMR)

Reviewed greenhouse gas emissions covered by Decision 406/2009/EC (the ESD) — 03 Nov 2016

National Energy Efficiency Action Plans and Annual Reports — 03 Nov 2016

National Energy Efficiency Action Plans (NEEAPs) set out estimated energy consumption, planned energy efficiency measures and the improvements individual EU countries expect to achieve. Under the Energy Efficiency Directive , EU countries must draw up these plans every three years. EU countries must report the progress achieved towards their national energy efficiency targets on an annual basis.

The new assessment of soil loss by water erosion in Europe — 25 Oct 2016

Soil erosion by water is one of the major threats to soils in the European Union, with a negative impact on ecosystem services, crop production, drinking water and carbon stocks. The European Commission's Soil Thematic Strategy has identified soil erosion as a relevant issue for the European Union, and has proposed an approach to monitor soil erosion. This paper presents the application of a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE2015) to estimate soil loss in Europe for the reference year 2010, within which the input factors (Rainfall erosivity, Soil erodibility, Cover-Management, Topography, Support practices) are modelled with the most recently available pan-European datasets. While RUSLE has been used before in Europe, RUSLE2015 improves the quality of estimation by introducing updated (2010), high-resolution (100 m), peer-reviewed input layers. The mean soil loss rate in the European Union's erosion-prone lands (agricultural, forests and semi-natural areas) was found to be 2.46 t ha −1  yr −1 , resulting in a total soil loss of 970 Mt annually.