WMS The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone Environment Land Land cover EEA38 Continents Countries Copernicus Land monitoring CLC+ CLCplus GeoVille

none none text/xml image/png application/atom+xml application/json;type=geojson application/json;type=topojson application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz application/vnd.mapbox-vector-tile image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html text/javascript application/json XML INIMAGE BLANK JSON JSONP The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone EPSG:3035 EPSG:3857 EPSG:4326 CRS:84 -61.81499391268202 72.9061367590091 -21.39490639139555 72.60660882597304 CLMS_CLCPLUS_RAS_S2023_R10m_GF_32622_V01_R00 The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone CLMS_CLCPLUS_RAS_S2023_R10m_GF_32622_V01_R00 WCS GeoTIFF Environment Land Land cover EEA38 Continents Countries Copernicus Land monitoring CLC+ CLCplus EPSG:32622 CRS:84 -54.62033251716579 -51.61509652739934 2.1074315504433585 5.7644182734673475 CLMS_CLCPLUS_RAS_S2023_R10m_GP_32620_V01_R00 The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone CLMS_CLCPLUS_RAS_S2023_R10m_GP_32620_V01_R00 WCS GeoTIFF Environment Land Land cover EEA38 Continents Countries Copernicus Land Monitoring CLC+ CLCplus EPSG:32620 CRS:84 -61.81499391268202 -60.99498637159921 15.82413385565867 16.519721937176996 CLMS_CLCPLUS_RAS_S2023_R10m_MQ_32620_V01_R00 The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone CLMS_CLCPLUS_RAS_S2023_R10m_MQ_32620_V01_R00 WCS GeoTIFF Environment Land Land cover Continents Countries Copernicus Land monitoring CLC+ CLCplus EEA38 EPSG:32620 CRS:84 -61.235061730352086 -60.79070902255887 14.383712778797427 14.882638313701325 CLMS_CLCPLUS_RAS_S2023_R10m_RE_32740_V01_R00 The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone CLMS_CLCPLUS_RAS_S2023_R10m_RE_32740_V01_R00 WCS GeoTIFF Environment Land Land cover Continents Countries Copernicus Land monitoring CLC+ CLCplus EEA38 EPSG:32740 CRS:84 55.20872844425442 55.841604593950805 -21.39490639139555 -20.86556509815257 CLMS_CLCPLUS_RAS_S2023_R10m_YT_32738_V01_R00 The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone CLMS_CLCPLUS_RAS_S2023_R10m_YT_32738_V01_R00 WCS GeoTIFF Environment Land Land cover Continents Countries Copernicus Land monitoring CLC+ CLCplus EEA38 EPSG:32738 CRS:84 44.93819579965665 45.30532973338651 -13.079250900980982 -12.578106264033956 CLMS_CLCplus_RASTER_2023_010m_eu The 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 2022 and March 2024. Training and test data: Based on the updated 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. 138 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 and 2021 productions to ensure best possible product consistency, while still allowing for changes in the land cover. Changes to previous release (2021): - Area of Interest: EEA38 + UK (re-inclusion of UK territory) - Minor updates of production units You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone EEA38_UK WCS ImageMosaic Environment Land Land cover EEA38 Continents Countries Copernicus Land monitoring CLC+ CLCplus EPSG:3035 CRS:84 -56.505141901704434 72.9061367590091 24.284177024808802 72.60660882597304