6e614923-3c94-4828-bb92-49d3da4ae0c5 English Dataseries German Aerospace Center (DLR) geoservice@dlr.de 2025-07-22T06:56:37 ISO 19115-1:2014/19139 2003/Cor.1:2006 EPSG:3035 Burnt Area NRT Incremental Product - MODIS - Europe, Daily 2022-04-01T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/6e614923-3c94-4828-bb92-49d3da4ae0c5 The product is automatically derived from Aqua/Terra (MODIS) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter and detection time, each feature contains information about the severity of the burning. This dataset contains the quality enhanced burnt areas (detected using MODIS imagery) for Europe, combined for single days. Michael Nolde German Aerospace Center (DLR) michael.nolde@dlr.de Florian Fichtner German Aerospace Center (DLR) florian.fichtner@dlr.de Torsten Riedlinger German Aerospace Center (DLR) torsten.riedlinger@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/6e614923-3c94-4828-bb92-49d3da4ae0c5/attachments/eoc_burntareas_ql.png large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/6e614923-3c94-4828-bb92-49d3da4ae0c5/attachments/eoc_burntareas_ql_s.png thumbnail Burnt Area MODIS Europe Near-Realtime Burn Severity time-series daily inspireidentifiziert Natural risk zones GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme European Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. no limitations to public access terms of use: https://creativecommons.org/licenses/by-nc/4.0/ {"id": "cc-by-nc/4.0", "name": "Creative Commons Namensnennung – 4.0 NonCommercial 4.0 International (CC BY-NC 4.0)", "url": "https://creativecommons.org/licenses/by-nc/4.0/", "quelle": "Copyright DLR (year)"} 600000 -16.00 34.00 36.00 84.00 2022-08-03 GeoPackage https://geoservice.dlr.de/eoc/land/wms? OGC:WMS BURNTAREA_MODIS_P1D WMS Access: Burnt Areas Europe Daily (MODIS) https://geoservice.dlr.de/eoc/demo/wms?SERVICE=WMS%26REQUEST=GetCapabilities OGC:WMS-http-get-capabilities https://geoservice.dlr.de/web/maps/eoc:burntarea:modis:daily WWW:LINK-1.0-http--link EOC Geoservice map context EOC Geoservice map context https://services.zki.dlr.de/fire WWW:LINK-1.0-http--link ZKI Fire Monitoring System ZKI Fire Monitoring System https://github.com/dlr-eoc/ukis-data-tutorials WWW:LINK-1.0-http--link UKIS Data Tutorials - Burnt Area Products UKIS Data Tutorials - Burnt Area Products https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-77114 WWW:LINK-1.0-http--link Burnt Areas - EOC News Burnt Areas - EOC News Conformity_001 INSPIRE 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 See the referenced specification true The product is based on mid resolution, optical data from the Aqua/Terra MODIS sensor level 1 NRT product. It utilizes information from the red and near-infrared domain, in combination with thermal anomaly data from the MODIS and VIIRS sensors Burnt Area Daily NRT Processing: Processing: The burnt area segmentation method is based on the morphological snakes algorithm in combination with a region growing approach. A differential NDVI mosaic is used as the basis for the segmentation. The methodology is described here: https://www.mdpi.com/2072-4292/12/13/2162/html. An application of the methodology is found here: https://www.mdpi.com/2072-4292/13/24/4975/html Quality Assurance: The product has been thoroughly tested against reference datasets provided by NASA, ESA and the Joint Research Center of the European Union (JRC). The results of the inter-comparison can be found in the following publication: Michael Nolde, Simon Plank, Torsten Riedlinger. (2020, July 6). An Adaptive and Extensible System for Satellite-Based, Large Scale Burnt Area Monitoring in Near-Real Time. Remote Sens. 2020, 12, 2162. https://doi.org/10.3390/rs12132162