The High Resolution Dominant Leaf Type (DLT) raster product provides a basic land cover classification with 3 thematic classes (all non-tree covered areas, broadleaved and coniferous). This dataset is provided annually starting with 2018 in 10 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. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

The Rolling Archive database (WLRA) 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 High Resolution Water Layer portfolio consists of the Water Layer (WL), the Water Presence Index (WPI), the Water confidence layer (WCL) and the Rolling archive (WLRA). The WLRA consists of intermediate production layers such as water and wetness masks showing the seasonal water and dry occurrences starting 2009. The masks are used for the generation of the Water Layer which covers a period of seven years per reference year and is regularly updated every three years. It is therefore important that it is consistent over the entire period. To guarantee reproducibility and future continuation of the baseline product, these masks are provided within a database consisting of all seasonal masks starting from 2009. With the new update of the Water product, the HR WL for the reference year 2021 only water masks will be continued. Additionally, the computation frequency changed from seasonal to monthly masks. This update covers a period from 2016.09.01 to 20211231 including an update of the masks already availbe from the historic 2018 production. The binary masks are provided across Europe in a spatial resolution of 10 m x 10 m as GeoTiffs zipped in a ZARR file.

The High Resolution Layer Herbaceous cover (HER) raster product provides a basic land cover classification with 2 thematic classes (temporal and permanent herbaceous / non-herbaceous). The production of the herbaceous layer is primarily based on the probability estimates obtained from the Base Vegetation Layer (BVL) which also serves to harmonize the different vegetated HRL products (Grasslands, Tree Cover and Forests, Croplands). HER is further used as input for the Grassland status layer (GRA) extracting the permanent herbaceous in combination with the Ploughing indicator (PLOUGH). This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Grasslands product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

The High Resolution Layer Cropping Patterns - Cropping Seasons Yearly (CPCSY) raster product provides number of growing seasons detected within 1 year (0/1/2). This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 785 Functional Urban Area (FUA) for the 2012 reference year in EEA38 countries (EU, EFTA and Western Balkan countries as well as Türkiye) and United Kingdom. The spatial data can be downloaded together with a map for each FUA covered and a report with the metadata for the respective area. Urban Atlas is a joint initiative of the Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Defence Industry and Space (DEFIS) in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.

The Start-of-Season Value (SOSV), 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 Start-of-Season Value (SOSV) provides the value of the Plant Phenology Index (PPI) at the start of 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 Start-of-Season Value is one of the 13 parameters. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The SOSV dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.

The Impervious Built-up (IBU) layer for the reference year 2018 is a thematic product showing the binary information of building (class 1) and no building (class 0) within the sealing outline derived from the Imperviousness Density layer for the period 2018 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 dataset is provided as 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles grouped according to the EEA38 and the United Kingdom.

The High Resolution Layer Forest Additional Support Layer (FADSL) provides information on trees under agricultural use or in urban context to be excluded from the Forest Type (FTY) product and at 10m spatial resolution. The derivation of Forest Additional Support Layer (FADSL) is based on the spatial intersection of the 10m DLT and TCD layers with CORINE Land Cover (CLC) 2018 and HRL Imperviousness Degree 2018 with 10 m spatial resolution; TCD range of ≥ 10-100%; with a MMW of 10m and no MMU (pixel base). This dataset is provided on a 3-yearly frequency in 10 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)

The High Resolution Layer Cropping Patterns - Main Crop Harvest (CPMCH) raster product provides the harvest date of the main (annual) crop expressed in days of the year (DOY). The harvest is considered as the time of removal of most of the biomass. YYDOY where YY = last 2 digits of the year (e.g. 19 for 2019) and DOY is the day of the year (1-365) This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

Landmælingar Íslands hafa unnið nýtt landhæðarlíkan af Íslandi. Um uppfærslu á eldra líkani er að ræða þar sem nýleg gögn af ólíkum uppruna þekja um 39.100 km2 eða um 38% landsins. Stærsta samfellda uppfærslan nær frá Suðurlandi til norðausturs, austur fyrir Egilsstaðir.Hæðarlíkanið hefur 10 x 10 m myndeiningar. Helsu nýleg gögn eru (sjá staðsetningu á meðfylgjandi smámynd hér fyrir neðan): 1) IPY-Lidargögn fyrir jökla landsins frá árunum 2007-2012, 15144 km2, LE90: 2,65 m. 2) Gögn úr 5-m-hæðarlínum, 10736 km2, LE90: 3,9 m. 3) Emisar radargögn, 4536 km2, LE90: 3,2 m. 4) Gögn úr 10-m-hæðarlínum, 2938 km2, LE90: 8,48 m, 5) SwedeSurvey photogrammetry gögn, 1433 km2, LE90: 2,60 m, 6) Gögn úr mælikvarða 1:25.000, 1152 km2, LE90: 3,8 m, 7) Bresk lidargögn (Dr. Susan Conway, Open University), 532 km2, LE90: 0,96-4,63 m. Líkaninu fylgir hæðarskygging, þ.e. upphleypt mynd af landinu en slíkar myndir eru gjarnan notaðar sem undirlag til að draga fram eða leggja áherslu á landslag. The National Land Survey of Iceland has made a new DTM of Iceland. The DTM is an upgrade of an earlier DTM where recent data, that vary in origin, cover 39.100 km2 or some 38% of the country. The DEM has pixel resolution of 10 x 10 m with. The main recent data are (see location on figure below): 1) IPY-lidar data for the glaciers of Iceland (surveyed in the years 2007 to 2012), 15144 km2, LE90: 2,65 m. 2) Data from 5-m-contour lines, 10736 km2, LE90: 3,9 m. 3) Emisar radar data, 4536 km2, LE90: 3,2 m. 4) Data from 10-m-contour lines, 2938 km2, LE90: 8,48 m, 5) SwedeSurvey photogrammetic data, 1433 km2, LE90: 2,60 m, 6) 1:25.000 contour data, 1152 km2, LE90: 3,8 m, 7) British lidar data (courtesy of Dr. Susan Conway, Open University), 532 km2, LE90: 0,96-4.63 m.The DTM is accompanied by a hillshade or a relief image of Iceland. Hillshade images are commonly used as a layer beneath maps or data to emphasize landscape.