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. 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 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 for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.

The Coastal Zones LC/LU Change (CZC) 2012-2018 is providing the Land Cover / Land Use (LC/ LU) change for areas along the coastline of the EEA38 countries and the United Kingdom, between the reference years 2012 and 2018. The Coastal Zones product monitors landscape dynamics in European coastal territory to an inland depth of 10 km with a total area of approximately 730,000 km², with all the relevant areas (estuaries, coastal lowlands, nature reserves). The production of the coastal zone layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme, as part of the Copernicus Land Monitoring Service (CLMS) Local Component. The Coastal Zones Change product covers a buffer zone of coastline derived from EU-Hydro v1.1. The Land Cover/Land Use (LC/LU) Change layer is extracted from Very High Resolution (VHR) satellite data and other available data. The reference years for the change are 2012 and 2018. The class definitions follow the pre-defined nomenclature on the basis of Mapping and Assessment of Ecosystems and their Services (MAES) typology of ecosystems (Level 1 to Level 4) and CORINE Land Cover adapted to the specific characteristics of coastal zones. The classification provides 71 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m. The status product is available for the 2012 and 2018 reference years. This CZC dataset is distributed in vector format, in a single OGC GeoPackage file covering the area of interest.

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.

The Coastal Zones (CZ) LC/LU product for 2012 is providing a detailed Land Cover / Land Use (LC/ LU) dataset for areas along the coastline of the EEA38 countries and the United Kingdom, with reference year 2012 for the classification. This product monitors landscape dynamics in European coastal territory to an inland depth of 10 km with a total area of approximately 730,000 km², with all the relevant areas (estuaries, coastal lowlands, nature reserves). The production of the coastal zone layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme, as part of the Copernicus Land Monitoring Service (CLMS) Local Component. The Coastal Zones product covers a buffer zone of coastline derived from EU-Hydro v1.1. Land Cover/Land Use (LC/LU) layer is extracted from Very High Resolution (VHR) satellite data and other available data. The class definitions follow the pre-defined nomenclature on the basis of Mapping and Assessment of Ecosystems and their Services (MAES) typology of ecosystems (Level 1 to Level 4) and CORINE Land Cover adapted to the specific characteristics of coastal zones. The classification provides 71 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m. The product is available for the 2012 and 2018 reference year including change mapping. This CZ dataset is distributed in vector format, in a single OGC GeoPackage SQLite file covering the area of interest.

The High Resolution Layer Cropping Patterns - Cropping Seasons Types (CPCSY) raster product provides the number of different crop types grown in a 3-year period [0-3] (excluding cover crops). 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)

This metadata refers to the Plant Phenology Index (PPI) Seasonal Trajectories, is one of the products of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Plant Phenology Index (PPI) is a physically based vegetation index for improved monitoring of plant phenology, that is developed from a simplified solution to the radiative transfer equation by Jin and Eklundh (2014) and that has a linear relationship with green leaf area index. The PPI Seasonal Trajectories (ST) product is derived from a TIMESAT-based function fitting of the time series of the PPI vegetation index and thus provides a filtered time series of Plant Phenology Index (PPI), with regular 10-day time step. The PPI 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 for the period from 2017 until today. It is updated in the first quarter of each year. Each file has an associated quality indicator (QFLAG) that provides a confidence level.

The Minimum Value (MINV), 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 Minimum Value (MINV) is the average Plant Phenology Index (PPI) value of the minima before the 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 Minimum 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 MINV 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 for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.

The High Resolution Layer Grassland Mowing Dates (GRAMD) raster product provides at pan-European level in the spatial resolution of 10 m a basic land cover classification, flagging and mapping the start date (DOY) (GRAMD) within the detected Herbaceous cover layer (temporal and permanent grassland)) with a Minimum Mapping Unit (MMU) of 0.25 ha. The GRAMD product will flag and map the dates (Day of Year) of each mowing event on temporary or permanent grassland per year, resulting in a product split in four different rasters per year. This dataset is provided annually starting with 2017 in 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 Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Urban Atlas Change layers have become available from 2012 and only for all FUAs that have been covered in both 2006 and 2012 reference years. Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.

The slope of the green-down or senescent period (Right Slope, RSLOPE), 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 slope of the green-down or senescent period (RSLOPE) expresses the rate of change in the values of the Plant Phenology Index (PPI) at the day when the vegetation growing season ends. 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 green-down period slope 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 RSLOPE 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 for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.