The 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. The 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). The 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. The 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.

The 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. The 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). The 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. The 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.

Corine Land Cover Change 2012-2018 (CHA1218) is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to changes in land cover / land use status between the years 2012 and 2018. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (CHA), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. CLC belongs to the Pan-European component of the Copernicus Land Monitoring Service (https://land.copernicus.eu/), part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC product description including mapping guides can be found at https://land.copernicus.eu/user-corner/technical-library/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.

The 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, 2015 and 2018 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, 2015-2018 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.

The High Resolution Layer: Imperviousness Change Classified (IMCC) 2015-2018 is a 20m raster dataset showing the classified change in imperviousness between 2015 and 2018 reference years. The dataset was produced in the frame of the EU Copernicus programme. The 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, 2015 and 2018 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, 2015-2018 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. The dataset is provided as 20 meter rasters (fully conformant with EEA reference grid) in 100 x 100 km tiles grouped according to the EEA38 countries and the United Kingdom.

Corine Land Cover 1990 (CLC1990) is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to land cover / land use status of year 1990. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (LCC), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. CLC belongs to the Pan-European component of the Copernicus Land Monitoring Service (https://land.copernicus.eu/), part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC product description including mapping guides can be found at https://land.copernicus.eu/user-corner/technical-library/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.

Consolidated raster containing the original CDDA polygons.

The current resource was derived from original Copernicus High Resolution Layer Imperviousness Density 2015 product for the purposes of imperviousness indicator (LSI002) calculations within the EEA LEAC CUBE environment. The dataset is also input to the imperviousness indicator itself. The 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. The latest version (published: 15/01/2019) of 100m resolution imperviousness status layers represents a time series consistent with 100m resolution imperviousness change layers - the cell by cell difference of the degree of imperviousness status corresponds to the degree of imperviousness change. The production of the High Resolution Imperviousness products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

This 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. No data available for CY due to absent LAU2 data for Cyprus for the reference year 2006. The dataset is based on a product of the GEOSTAT project which is supported by the European Commission and the European Forum for Geostatistics EFGS. This abstract is based on the abstract provided with the original dataset (CSV file).

The Copernicus High Resolution Forest Layer Tree Cover Change Mask (TCCM) 2012-2015 raster product provides information on the change between the reference years 2012 and 2015 and consists of 4 thematic classes (unchanged areas with no tree cover / new tree cover / loss of tree cover / unchanged areas with tree cover) at 20m spatial resolution and covers EEA38 area and the United Kingdom. The production of the High Resolution Forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. The High Resolution Forest product consists of three types of (status) products and additional change products. The status products are available for the 2012, 2015 and 2018 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.