The Share of Built-Up Change Classified (SBCC) 2018-2021 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 2018 and 2021 as derived from a re-classification of the Share of Built-Up Change (IMDC) 2021–2018 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 Season Maximum Value (MAXV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Season Maximum Value (MAXV) provides the maximum (peak) value that the Plant Phenology Index (PPI) reaches during the vegetation growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Maximum Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The MAXV dataset is made available as raster files with 10 x 10m resolutionand 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.

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 Sentinel-2 Snow Phenology (SP S2) product is generated once a year at European scale, based on Fractional Snow Cover (FSC) products calculated from Sentinel-2 optical data. This product describes the snow season in terms of temporality as it provides, within an hydrological year and for each pixel, the number of days with snow cover, as well as the first and the last day of the longest observed snow period. It has a spatial resolution of 20 m x 20 m, as does the input FSC product. The SP S2 product is distributed in raster files covering an area of 110 km by 110 km with a pixel size of 20 m by 20 m in UTM/WGS84 projection, which corresponds to the Sentinel-2 input L1C product tile. Each product is composed of separate files corresponding to the different layers of the product, and another metadata file." The product is also available in another projection as tiles aligned with the Pan-European High-Resolution Layers in the European grid (ETRS89 LAEA - EPSG: 3035) at 20 m x 20 m and 100 m x 100 m. SP S2 is one of the products of the pan-European High-Resolution Water Snow & Ice portfolio (HR-WSI), which are provided at high spatial resolution from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards.

The Share of Built-up (SBU) layer for the reference year 2018 represents share (percentage) of built-up (IBU) for the reference year 2018 in an aggregated version of 100m spatial resolution for the EEA38 countries and the United Kingdom. The production of the high resolution imperviousness layers is coordinated by the EEA 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 100 meter aggregate raster (fully conformant with the EEA reference grid) is provided as a full EEA38 and United Kingdom mosaic.

The pan-European High Resolution (HR) Image Mosaic 2006 provides HR2 (High Resolution: 20 meter) coverage over Europe. The surface covered by the image dataset is 5.8 million square kilometres and has a spatial resolution of 20 meters. The imagery is composed during specific acquisition windows between 2005 and 2007. Images are derived from the following satellite sensors: Resourcesat-1 SPOT-4/-5 The mosaic primarily is used as input data in the production of various Copernicus Land Monitoring Service (CLMS) datasets and services, such as land cover maps and high resolution layers on land cover characteristic and can be also useful for CLMS users for visualizations and classifications on land. The input imagery for the creation of the mosaic is provided by ESA. Due to license restrictions, HR Image Mosaic 2006 is only available as a web service (WMS), and not for data download.

The pan-European High Resolution (HR) Image Mosaic 2015 provides up to two cloud-free HR optical coverage 2 of EEA39 countries including all islands of those countries plus French Overseas Departments (DOMs) acquired within predefined windows corresponding to the vegetation season in 2014-2015. Images are derived from the following satellite sensors: Resourcesat-1/2 SPOT-5 Sentinel-2 MSI The mosaic primarily is used as input data in the production of various Copernicus Land Monitoring Service (CLMS) datasets and services, such as land cover maps and high resolution layers on land cover characteristic and can be also useful for CLMS users for visualizations and classifications on land. The input imagery for the creation of the mosaic is provided by ESA. Due to license restrictions, HR Image Mosaic 2015 is only available as a web service (WMS), and not for data download.

The Sentinel-1 & Sentinel-2 Water and Ice Cover (WIC S1+S2) product is generated in near real-time at European scale. It combines ice and water extent information derived from radar data from the Sentinel-1 constellation (WIC S1), and from optical data from the Sentinel-2 constellation (WIC S2). The WICS1+S2 product is processed when both WIC S1 and WIC S2 data are available on the same day. It provides the water and ice extent on water bodies (rivers and lakes), at a spatial resolution of 20 m x 20 m. WIC S1+S2 is one of the products of the pan-European High-Resolution Water Snow & Ice portfolio (HR-WSI), which are provided at high spatial resolution from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards. The WIC S1+S2 product is distributed in raster files covering an area of 110 km by 110 km with a pixel size of 20 m by 20 m in UTM/WGS84 projection, which corresponds to the Sentinel-2 input L1C product tile. Each product is composed of separate files corresponding to the different layers of the product, and another metadata file."

Small Woody 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. Optical VHR coverage over Europe 2021 was made available in the ESA Copernicus DWH and, together with Sentinel 2 was the main data source for the detection of small woody features identifiable within the given image resolution. The production of the HRL Small Woody Features 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 5-meter grid spacing (spatial resolution), 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.