Estimated soil erosion by water in Europe

Figure Created 07 Nov 2016 Last modified 11 Nov 2016
Soil loss rates (tonnes per hectare per year) calculated based on a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE 2015) for the reference year 2010 (100 m spatial resolution).

European data

Microsoft Excel spreadsheet
1.06 MB
MapMetadataChecklist_Map 3 21_SO002.xls

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Last upload:
07 Nov 2016
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tonnes/ha/year

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Joint Research Centre (JRC)
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Map

Additional information

Calculated by the Revised Universal Soil Loss Equation (RUSLE).

Source: Panagos, P., Borrelli, P., Poesen, J., Ballabio, C., Lugato, E., Meusburger, K., Montanarella, L. and Alewell, C., 2015e, ‘The new assessment of soil loss by water erosion in Europe’,Environmental Science & Policy54, 438–447 (DOI: 10.1016/j.envsci.2015.08.012).

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Based on data

Data references

Good Agricultural Environmental Conditions (GAEC 2010) Good Agricultural Environmental Conditions (GAEC 2010) 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 LUCAS Earth Observations 2012 Each file contains the data for one country. This release includes all variables. 
Agri-environmental indicator - soil cover 2010 Agri-environmental indicator - soil cover 2010 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 Agri-environmental indicator - tillage practices 2010 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 Eurostat Crop Statistics
COPERNICUS Remote Sensing data COPERNICUS Remote Sensing data 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) Rainfall Erosivity Database at European Scale (REDES) 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
European Soil Database (dataset URL is not directly available) European Soil Database (dataset URL is not directly available) 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 LUCAS Topsoil 2009 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 .
Corine Land Cover 2006 Corine Land Cover 2006

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