71fc9d1b-479f-4da1-aa66-662a2fff2cf7 European Environment Agency Kongens Nytorv 6 Copenhagen K 1050 Denmark sdi@eea.europa.eu pointOfContact 2025-10-09T10:57:25.521913Z ISO 19115/19139 1.0 EPSG:3035 CLCplus Backbone 2021 (raster 10 m), Europe, 3-yearly, Jun. 2024 2023-11-30 creation 2024-06-21 publication 01.00 copernicus_r_3035_10_m_chaplus-backbone2020-2022_p_2021_v01_r00 10.2909/71fc9d1b-479f-4da1-aa66-662a2fff2cf7 This metadata refers to the 'Corine Land Cover plus Backbone' (CLCplus Backbone), a spatially detailed, large-scale, Earth Observation-based land cover inventory which is produced by the Copernicus Land Monitoring Service (CLMS). The CLCplus Backbone is a 10m pixel-based land cover map based on Sentinel satellite time series. Each pixel contains the dominant land cover among the 11 basic land cover classes. See pixel class codes in the additional information section. The product has an update cycle of three years and starting from the 2018 reference year. The update cycle for future products (from 2021 reference year onwards) will be 2 years. European Commission https://commission.europa.eu owner Copernicus Land Monitoring Service JRC-Copernicus-Land@ec.europa.eu https://land.copernicus.eu custodian European Environment Agency Kongens Nytorv 6 Copenhagen K 1050 Denmark sdi@eea.europa.eu http://www.eea.europa.eu publisher Copernicus Land Monitoring Service helpdesk JRC-Copernicus-Land@ec.europa.eu https://land.copernicus.eu/en/contact-service-helpdesk pointOfContact https://sdi.eea.europa.eu/catalogue/srv/api/records/71fc9d1b-479f-4da1-aa66-662a2fff2cf7/attachments/CLCPlusBB2021Thumbnail.png Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme EEA38 (from 2020) Continents, countries, sea regions of the world. 2015-07-17T12:00:00 publication geonetwork.thesaurus.external.place.regions land land cover GEMET 2021-11-30 publication geonetwork.thesaurus.external.theme.gemet European Spatial scope 2019-05-22 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope Land use EEA topics 2020-09-24 publication geonetwork.thesaurus.external.theme.eea-topics no limitations to public access The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission. The Copernicus land monitoring products and services are made available on a principle of full, open and free access, as established by the Commission Delegated Regulation (EU) No 1159/2013 of 12 July 2013. Free, full and open access to the products and services of the Copernicus Land Monitoring Service is made on the conditions that: 1. When distributing or communicating Copernicus Land Monitoring Service products and services (data, software scripts, web services, user and methodological documentation and similar) to the public, users shall inform the public of the source of these products and services. 2. Where the Copernicus Land Monitoring Service products and services have been adapted or modified by the user, the user shall clearly state this. 3. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the European Union. grid 10 utf8 environment imageryBaseMapsEarthCover -56.5052 72.9061 24.2841 72.6338 2020-10-01 2022-03-31 Pixel class codes: 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 253: Coastal Seawater buffer 254: Outside area 255: No data GeoTIFF https://copernicus.discomap.eea.europa.eu/arcgis/rest/services/CLC_plus/CLMS_CLCplus_RASTER_2021_010m_eu/ImageServer ESRI:REST https://copernicus.discomap.eea.europa.eu/arcgis/rest/services/CLC_plus/CLMS_CLCplus_RASTER_2021_010m_eu/ImageServer https://doi.org/10.2909/71fc9d1b-479f-4da1-aa66-662a2fff2cf7 DOI https://doi.org/10.2909/71fc9d1b-479f-4da1-aa66-662a2fff2cf7 https://land.copernicus.eu/en/products/clc-backbone WWW:LINK Product Information & Technical Documentation https://copernicus.discomap.eea.europa.eu/arcgis/services/CLC_plus/CLMS_CLCplus_RASTER_2021_010m_eu/ImageServer/WMSServer?request=GetCapabilities&service=WMS OGC:WMS CLMS_CLCplus_RASTER_2021_010m_eu https://land.copernicus.eu/en/products/clc-backbone/clc-backbone-2021#download WWW:DOWNLOAD CLMS Website Download (requires authentication) Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication See the referenced specification CLCplus Backbone Raster Product is primarily based on a supervised classification of satellite image time-series. Input data: Copernicus Sentinel-2 L2A including all scenes with a cloud cover below 80% and acquired between October 2020 and March 2022. Training and test data: Based on the sample data base created for reference year 2018 which was compiled from various sources, such as adjusted and filtered Eurostat LUCAS 2018 data, stratified automated LC class annotations based on existing land use/land cover maps, visual sample point photo-interpretation from VHR imagery, NDVI time series and auxiliary datasets. Classification: A Temporal Convolutional Neural Network (TempCNN) with four hierarchical layers was calibrated on the collected training data and input time-series / features. Given the heterogeneity of the addressed European landscapes, all classifier training, testing and, finally, LC classification, was performed along substrata based on biogeographical regions and existing LC layers (i.e. 132 production units). Postprocessing: Steps applied comprise 1) bilateral filtering of the class probabilities, 2) blending of the probabilities along production unit borders and 3) an interannual calibration with the class probabilities from the 2018 production to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2018): - Area of Interest: EEA38 (exclusion of UK territory) - Implementation of a Coastal Seawater buffer (class code: 253) - Input time-series reduced to reference year +/- three months - Minor updates of production units