bfd77180-7d7c-4c1c-b193-1489f735d5f1 2025-11-05T16:05:08.019511Z 2025-11-06T10:48:16.586618Z ISO 19115/19139 1.0 https://sdi.eea.europa.eu/catalogue/srv/api/records/bfd77180-7d7c-4c1c-b193-1489f735d5f1 2 47040 0.0029761905 120960 0.0029761905 false true Upperleft corner tiepoint Upperleft corner tiepoint upperLeftTiePoint Tie Point in upper left corner 80.0 -180.0 0.0 center EPSG:4326 Burnt Area 2025-present (raster 300 m), global, daily - version 4 2025-10-13 2025-10-15 V4 2025-10-15T00:00:00 clms_r_4326_300_m_ba-daily-global_p_2025-2025_v4_r00 CDSE 2025-10-15 clms_ba_global_300m_daily_v4 10.2909/bfd77180-7d7c-4c1c-b193-1489f735d5f1 doi.org Digital Object Identifier (DOI) https://land.copernicus.eu/en/products/vegetation/burnt-area-v4-daily-300m Burnt Area products map burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). As fire can occur in any type of environmental context, the properties of the burnt surface may differ significantly from place to place. Therefore their identification is based on a combination of surface's properties and change detection, i.e. differences in spectral properties before and after the fire occurrance. This product is first designed to fit the requirements of the Copernicus Land Monitoring Service. It can be also useful for all applications related to environment monitoring. Burnt Area products were generated by the Copernicus Land Monitoring Service, the Earth Observation part of the European Union's Space programme. The research leading to the current version of the product has received funding from various European Commission Research and Technical Development programs. The product is based on Copernicus Sentinel-3 data (copyright governed by the Legal notice on the use of Copernicus Sentinel Data and Service Information - https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice). European Commission https://commission.europa.eu European Commission's Joint Research Centre https://joint-research-centre.ec.europa.eu/ 0.0029761905 imageryBaseMapsEarthCover biota farming environment -180.00 180.00 -60.00 80.00 Daily Daily 2025-01-01T00:00:00 2027-08-31T23:59:59 https://sdi.eea.europa.eu/catalogue/api/records/bfd77180-7d7c-4c1c-b193-1489f735d5f1/attachments/Fraction-of-burn_daily_quicklook.png Subsampled quicklook image of fraction of burn layer netCDF Network Common Data Form 4 Climate EEA topics 2022-10-18 2020-09-24 geonetwork.thesaurus.external.theme.eea-topics Global Spatial scope 2019-05-22 geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope World Continents, countries, sea regions of the world. 2015-07-17T12:00:00 2015-07-17 geonetwork.thesaurus.external.place.regions Orthoimagery GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme vegetation biomass burning fire GEMET 2021-11-30 geonetwork.thesaurus.external.theme.gemet burnt area burn scar global daily 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. netCDF Network Common Data Form 4 Free Products can be downloaded online https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/OGC.html OGC Web Map Tile Service View Service OGC WMTS https://documentation.dataspace.copernicus.eu/Data/CopernicusServices/CLMS.html File for download Download Service Copernicus Data Space Ecosystem download services Per product https://browser.dataspace.copernicus.eu/ Copernicus Browser https://doi.org/10.2909/bfd77180-7d7c-4c1c-b193-1489f735d5f1 DOI Digital Object Identifier (DOI) Validation results conform CEOS LPV guidelines 2025-09-29 https://land.copernicus.eu/en/technical-library/validation-report-burnt-area-version-4.0/@@download/file 1 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 This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services true INSPIRE Data Specification on orthoimagery - Guidelines 2010-04-26 See the referenced specification true The burnt area surfaces are calculated from Top-of-Canopy reflectance images from the Sentinel-3 OLCI and SLSTR sensors. The method is based on a deep learning algorithm trained with datasets generated from time series of reflectance observations and semi-empirical models of fire-induced spectral reflectance changes and surface reflectance anisotropy. The models are calibrated with reflectance data at active fire detections. The deep learning algorithm is used to predict burned area, on a per-pixel basis, from time series of reflectance observations.