The European Ground Motion Service (EGMS), part of the Copernicus Land Monitoring Service, provides consistent, regular, standardised, harmonised, and reliable information on natural and anthropogenic ground motion phenomena across Copernicus Participating States and national borders, with millimetre-level accuracy. This metadata describes EGMS Ortho, the third product level in the EGMS portfolio. EGMS Ortho is derived from EGMS Calibrated through a resampling procedure onto a 100 m grid, using data from both ascending and descending satellite orbits. This process generates two distinct layers: one representing purely vertical displacements (the subject of this metadata) and one representing purely east-west displacements. EGMS Ortho simplifies interpretation for non-expert users by removing the need to account for satellite viewing geometry, offering a more intuitive representation of ground motion. EGMS Ortho is visualised as a vector map of measurement points colour-coded by average velocity (vertical or east-west components) and distributed to users in comma-separated values format. Each point is associated with a time series of displacement, i.e. a plot with values of displacement per acquisition of the satellite. EGMS Ortho is delivered to users on an annual basis, following a five-year moving window update strategy. This means that after the Baseline/first update (2016-2021), the following data periods are available: 2018-2022, 2019-2023 and 2020-2024.

The European Ground Motion Service (EGMS), part of the Copernicus Land Monitoring Service, provides consistent, regular, standardised, harmonised, and reliable information on natural and anthropogenic ground motion phenomena across Copernicus Participating States and national borders, with millimetre-level accuracy. This metadata describes EGMS Ortho, the third product level in the EGMS portfolio. EGMS Ortho is derived from EGMS Calibrated through a resampling procedure onto a 100 m grid, using data from both ascending and descending satellite orbits. This process generates two distinct layers: one representing purely vertical displacements and one representing purely east-west displacements (the subject of this metadata). EGMS Ortho simplifies interpretation for non-expert users by removing the need to account for satellite viewing geometry, offering a more intuitive representation of ground motion. EGMS Ortho is visualised as a vector map of measurement points colour-coded by average velocity (vertical or east-west components) and distributed to users in comma-separated values format. Each point is associated with a time series of displacement, i.e. a plot with values of displacement per acquisition of the satellite. EGMS Ortho is delivered to users on an annual basis, following a five-year moving window update strategy. This means that after the Baseline/first update (2016-2021), the following data periods are available: 2018-2022, 2019-2023 and 2020-2024.

This metadata refers to the CORINE Land Cover Plus Land Use, Land-Use Change and Forestry Instance (CLCplus LULUCF Instance), an annually updated, pan-European, spatially consistent and seamless geospatial proxy for land use reporting under the LULUCF regulation. The product is delivered as a single raster layer with a spatial resolution of 100 m, derived from multiple pan-European Copernicus Land Monitoring Service (CLMS) high resolution input datasets. The LULUCF Instance is available for the reference years 2018, 2021, 2022 and 2023, with production moving to an annual update cycle starting from the 2021 product. Each raster cell represents a dominant LULUCF land-use class, assigned according to thematic and spatial rulesets implemented during the extraction process. While each pixel corresponds primarily to one of the six main LULUCF land use categories - forest land, grassland, cropland, settlements, wetlands, and other lands - the dataset further differentiates these categories into sub classes, resulting in a total of 27 classes. This classification structure supports greenhouse gas reporting and other applications within the LULUCF sector by providing a harmonised and policy relevant representation of land use across Europe. It is crucial to understand that this product is fundamentally different from other CLMS products, as it is not based directly on satellite image classification or visual interpretation. Instead, it is produced through the combination and integration of existing CLMS data layers. Consequently, the dataset does not introduce fundamentally new information; rather, its novelty lies in the expert driven integration of multiple sources to produce a LULUCF oriented land use representation.

The Imperviousness Density (IMD) 2024 with a 100m pixel resolution, is part of the High Resolution Layer (HRL) Imperviousness and contains the approximate density of artificial sealing per pixel (range: 0-100%) for the reference year 2024 as derived from a pixel aggregation of the Imperviousness Density (IMD) 2024 (10m) layer. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Share of Built-Up Change (SBUC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and contains the change of built-up per pixel (increase or decrease in percentage) as derived from the difference between the Impervious Built-Up (IBU) status layers for the reference years 2021 and 2024, in an aggregated version of 100m spatial resolution. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Imperviousness Change (IMDC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness. It contains the imperviousness change per pixel (increase or decrease in percentage) as derived from the difference between the Imperviousness Density (IMD) status layers for the reference years 2021 and 2024, in an aggregated version of 100m spatial resolution. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Share of Built-Up Change Classified (SBCC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides categorical information on the change of built-up per pixel between the reference years 2021 and 2024 as derived from a re-classification of the Share of Built-Up Change (IMDC) 2024–2021 layer. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

High Resolution land cover characteristics for the 2018 reference year. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. VHR_IMAGE_2018 made available in the ESA Copernicus DWH will be the main data source for the detection of small woody features identifiable within the given image resolution. The Small Woody Features (SWFs) layer contains woody linear and patchy elements but will not be further differentiated into trees, hedges, bushes and scrub. The spatial pattern shall be limited to linear structures and isolated patches on the basis of geometric characteristics.

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 Forest Type (FTY) dataset provides the Forest Type estimation at 100 meter spatial resolution. The number of broadleaved and coniferous pixels are counted and the percentages stored in the 100m cell. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided on a 3-yearly frequency in 100 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)