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    The Copernicus High Resolution Forest Layer Tree Cover Change Mask (TCCM) 2015-2018 raster product provides information on the change between the reference years 2015 and 2018 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.

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    This metadata refer to the 'Corine Land Cover + Backbone' (CLC+ Backbone) which is a spatially detailed, large scale, Earth Observation-based land cover inventory. The CLC+ Backbone Raster Product is a 10m pixel-based land cover map based on Sentinel satellite time series from July 2017 to June 2019. For each pixel it shows the dominant land cover among the 11 basic land cover classes. Thematic pixel values: 1: Sealed 2: Woody – needle leaved trees 3: Woody – Broadleaved deciduous trees 4: Woody – Broadleaved evergreen trees 5: Low-growing woody plants (bushes, shrubs) 6: Permanent herbaceous 7: Periodically herbaceous 8: Lichens and mosses 9: Non- and sparsely-vegetated 10: Water 11: Snow and ice 254: outside area 255: No data The product has a three years update cycle and is available for the 2018 reference year.

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    The pan-European High Resolution (HR) Image Mosaic 2018 provides cloud-free high resolution false colour imagery for EEA39 countries. The mosaic has been produced using Sentinel-2 data in 10 meter resolution, at a Sentinel 2 tile level, and consists of 1079 Sentinel-2 tiles. The imagery for each state is acquired within a predefined window corresponding to the vegetation season in 2018. The false colour composite consists of a three band stack and includes the following bands: Band 8 – NIR (0.842 μm) Band 4 – Red (0.665 μm) Band 3 – Green (0.560 μm) 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. Since the pan-European High Resolution Mosaic 2018 is created exclusively from Sentinel-2 data, the imagery can be downloaded from The Copernicus Open Access Hub (mission ongoing since 2015) at https://scihub.copernicus.eu/. Global Sentinel-2 Image Mosaics Hub at https://land.copernicus.eu/imagery-in-situ/global-image-mosaics/ can be also used to automatically create mosaics over the area of interest.

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    The pan-European High Resolution (HR) Image Mosaic 2012 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 2011 and 2013. Images are derived from the following satellite sensors: Resourcesat-1/-2 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 2012 is only available as a web service (WMS), and not for data download.

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    The Copernicus High Resolution Water and Wetness (WAW) 2015 layer is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015 for the EEA38 area and the United Kingdom . This metadata corresponds to the aggregation of the 20m classified product into a 100m raster. The production of the High Resolution Water and Wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. Two WAW products are available: - The main Water and Wetness (WAW) product, with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. - The additional expert product: Water and Wetness Probability Index (WWPI). The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. Data is provided as a mosaic of the full area, and as tiles with a side length of 1000 km x 1000 km. In 2020, due to methodological improvements, the temporary wet class has been reprocessed during the update for the 2018 reference year. You can read more about the product here: https://land.copernicus.eu/en/products/high-resolution-layer-water-and-wetness/water-and-wetness-status-2015.

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    The Copernicus Aggregated River and Lake Ice Extent (ARLIE) product is a spatially aggregated information on surface water conditions of rivers and lakes. ARLIE information is stored in a geodatabase, enriched every day from the River and Lake Ice extent products (RLIE S1, RLIE S2 and RLIE S1+S2) for the entire EEA38 and the United Kingdom. It provides percent coverage of snow-covered or snow-free ice on lakes and on 10 km river sections described by the EU-HYDRO river and lake network database. The ARLIE products are stored in a PostGIS persistent geodatabase. They can be retrieved by using a specific REST API. Users can query ice sheet summary information of river segments and lakes (ARLIE statistics) together with the geometry and caracteristics of the features on which these statistics were estimated. All geometry features are delivered in the ETRS89 LAEA (EPSG:3035) coordinate reference system. ARLIE is one of the products of the pan-European High-Resolution Snow & Ice service (HR-S&I), which are provided at high spatial resolution (20 m x 20 m and 60 m x 60 m) from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards. You can read more about ARLIE product here: https://land.copernicus.eu/en/products/water-bodies/high-resolution-aggregated-river-and-lake-ice-extent.

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    The Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA) across EEA38 countries (EU, EFTA, Western Balkan countries as well as Türkiye) and United Kingdom. The Street Tree Layer (STL) is a separate layer from the Urban Atlas 2018 LU/LC layer produced within the level 1 urban mask for each FUA. It includes contiguous rows or a patches of trees covering 500 m² or more and with a minimum width of 10 meter over "Artificial surfaces" (nomenclature class 1) inside FUA (i.e. rows of trees along the road network outside urban areas or forest adjacent to urban areas should not be included). Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Defence Industry and Space in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency. You can read more about the product here: https://land.copernicus.eu/en/products/urban-atlas/street-tree-layer-stl-2018.

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    The pan-European High Resolution (HR) Image Mosaic 2018 provides cloud-free high resolution true colour imagery for EEA39 countries. The mosaic has been produced using Sentinel-2 data in 10 meter resolution, at a Sentinel 2 tile level, and consists of 1079 Sentinel-2 tiles. The imagery for each state is acquired within a predefined window corresponding to the vegetation season in 2018. The true colour (RGB) composite consists of a three band stack and includes the following bands: Band 4 – Red (0.665 μm) Band 3 – Green (0.560 μm) Band 2 – Blue (0.490 μm) 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. Since the pan-European High Resolution Mosaic 2018 is created exclusively from Sentinel-2 data, the imagery can be downloaded from The Copernicus Open Access Hub (mission ongoing since 2015) at https://scihub.copernicus.eu/. Global Sentinel-2 Image Mosaics Hub at https://land.copernicus.eu/imagery-in-situ/global-image-mosaics/ can be also used to automatically create mosaics over the area of interest.

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    The pan-European Very High Resolution (VHR) Image Mosaic 2018 is a seamless mosaic of the VHR 2018 dataset, based on watershed segmentation of image overlaps. The input data consists of a mix of Pleiades, SPOT, DOVE, Kompsat-4, Deimos-2, SuperView, and TripleSat images. The input imagery has been colour balanced against the Sentinel-2 based HR mosaic from 2018. Colour balancing is done through iterative histogram matching, where the first iteration is used to identify clouds and snow, and the second iteration re-balances, with the bright objects masked out. Cloud cover has been minimized through an innovative approach to cloud masking, which relies on automatically identifying and de-prioritizing overly bright areas in the resulting mosaic. Some clouds and snow remain, as all pixels have to have a value, meaning that if no cloud or snow free images were available for a given area, the bright pixels will remain. 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, VHR Image Mosaic 2018 is only available as a web service (WMS), and not for data download.

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    The Copernicus Fractional Snow Cover (FSC) product is generated in near real-time for the entire EEA38 and the United Kingdom, based on optical satellite data from the Sentinel-2 constellation. The product provides the fraction of the surface covered by snow at the top of canopy (FSC-TOC) and on ground (FSC-OG) per pixel as a percentage (0% – 100%) with a spatial resolution of 20 m x 20 m. FSC is one of the products of the pan-European High-Resolution Snow & Ice service (HR-S&I), which are provided at high spatial resolution (20 m x 20 m and 60 m x 60 m), from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards. The FSC 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 seven separate files corresponding to the different layers of the product, and another metadata file. You can read more about the FSC product here: https://land.copernicus.eu/en/products/snow/fractional-snow-cover.