4c3f4253-e906-409c-8bcd-91ee269c56f7 Crop Types 2017 - Present (raster 10 m) Copernicus Land Monitoring Service JRC-Copernicus-Land@ec.europa.eu https://land.copernicus.eu/ European Environment Agency Point of contact sdi@eea.europa.eu 2024-12-01 English The High Resolution Layer Crop Types (CTY) raster product provides high resolution crop type classification for 17 classes of both arable and permanent crops accross the EEA38 extent. Using both Sentinel-1 and Sentiel-2, the model is finetuned to first map the crop field boundaries, and then determine the main crop for each field. 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). Land use Land cover GEMET - INSPIRE themes, version 1.0 EEA38 (from 2020) Continents, countries, sea regions of the world Crop production GEMET European Spatial scope Land use Agriculture and food EEA topics 2024 6.5.24 EEA Manamgent Plan 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. No limitations to public access https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations WEkEO Portal https://wekeo.copernicus.eu/data?view=catalogue&facets=contactOrg~European Environment Agency CLMS_HRL_CropTypes_S2017_R10m https://geoserver.vlcc.geoville.com/geoserver/ows?service=WMS&version=1.3.0&request=GetCapabilities CLMS_HRL_CropTypes_S2018_R10m https://geoserver.vlcc.geoville.com/geoserver/ows?service=WMS&version=1.3.0&request=GetCapabilities CLMS_HRL_CropTypes_S2019_R10m https://geoserver.vlcc.geoville.com/geoserver/ows?service=WMS&version=1.3.0&request=GetCapabilities CLMS_HRL_CropTypes_S2020_R10m https://geoserver.vlcc.geoville.com/geoserver/ows?service=WMS&version=1.3.0&request=GetCapabilities CLMS_HRL_CropTypes_S2021_R10m https://geoserver.vlcc.geoville.com/geoserver/ows?service=WMS&version=1.3.0&request=GetCapabilities EEA geospatial data catalogue https://sdi.eea.europa.eu/catalogue/srv/api/records/9db29b07-5968-4ce0-8351-1e356b3d7d47?language=all Product Information and Technical Documentation https://land.copernicus.eu/en/products/high-resolution-layer-croplands Europe -31.28 44.81 71.16 27.64 Europe -54.62 -51.61 5.77 2.11 Europe -61.82 -60.99 16.52 15.82 Europe -61.24 -60.79 14.88 14.38 Europe 55.21 55.84 -20.87 -21.39 Europe 44.94 45.31 -12.58 -13.08 2017-01-01 Copernicus Land Monitoring Service Custodian JRC-Copernicus-Land@ec.europa.eu https://land.copernicus.eu/ European Environment Agency Publisher sdi@eea.europa.eu http://www.eea.europa.eu/ Copernicus Land Monitoring Service helpdesk Point of contact JRC-Copernicus-Land@ec.europa.eu https://land.copernicus.eu/en/contact-service-helpdesk The HRL Crop Types (CTY) have been trained using a temporal transformer-based neural networks on Sentinel-1 and Sentinel-2 time-series, Copernicus DEM and meteo data for all reference years. The model was trained on an extensive in-situ dataset of more than one million samples compiled from LPIS and LUCAS datasets. Post-classification processing steps include spatial (Mimimum Mapping Unit: 0.25ha) and temporal filtering to assure a high consistency of the time series. Thematic target accuracy: 80% producer and user accuracy. The HRL Crop Types is a new dataset in the CLMS portfolio, starting its timeseries with annual updates from reference year 2017. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: completeness, logical consistency, thematic accuracy, temporal quality and usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures. Copernicus Land Monitoring Service (2024).Crop Types 2017 - Present (raster 10m), Europe, yearly, Nov. 2024. European Environment Agency https://doi.org/10.2909/9db29b07-5968-4ce0-8351-1e356b3d7d47.