cdb2c209-7e08-4f4c-b500-69de926e3023 English Dataseries German Aerospace Center (DLR) geoservice@dlr.de 2026-04-09T12:17:08 ISO 19115-1:2014/19139 2 66822 10 88989 10 false EPSG:3035 - ETRS89-extended / LAEA Europe Forest Canopy Cover Loss (FCCL) - Germany - Monthly, 10m 2025-05-20T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/cdb2c209-7e08-4f4c-b500-69de926e3023 This raster dataset shows forest canopy cover loss (FCCL) in Germany at a monthly resolution from September 2017 to October 2025. It is similar to the product developed by Thonfeld et al. (2022) but was fully reprocessed and updated to reveal the most recent forest disturbance dynamics (Thonfeld et al. 2026). The combination of Sentinel-2A/B and Landsat-8/9 data allows for a high temporal resolution while the pixel size of the product is 10 m. The results are clipped to the stocked area 2018 mapped by the Thünen-Institute (Langner et al. 2022, https://doi.org/10.3220/DATA20221205151218). The dataset contains predominantly larger canopy openings resulting from different drivers but also larger clusters of standing deadwood. FCCL can result from abiotic (e.g. wind, fire, drought, hail) drivers, biotic (e.g. insects, funghi) drivers or a combination of both as well as from sanitary and salvage logging and planned harvest. The first version with canopy cover losses from January 2018 - April 2021 (Thonfeld et al. 2022) can be accessed here: https://geoservice.dlr.de/web/datasets/tccl. This data set shows recent-past FCCL dynamics. It can be used for future forest management and planning. It therefore addresses public authorities and several stakeholders in the forest, nature conservation and climate sector. German Aerospace Center (DLR) Frank.Thonfeld@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/cdb2c209-7e08-4f4c-b500-69de926e3023/attachments/FCCL_DE_ql.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/cdb2c209-7e08-4f4c-b500-69de926e3023/attachments/FCCL_DE_ql_s.jpg thumbnail Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme National Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en Forest Canopy Cover Loss Disturbance Sentinel-2 Landsat Multispectral Germany opendata Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. There are no limitations on public access to spatial data sets and services. Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/ {"id": "cc-by-4.0", "name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (2022)"} 20000 English biota 5.23 15.69 47.06 55.08 2017-09-01T00:00:00 2024-09-30T00:00:00 GeoTIFF https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_MASK EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_CHANGES EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_GAPS EOC Land Map Service https://download.geoservice.dlr.de/FCCL/files/ WWW:LINK-1.0-http--link HTTP Download https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FCCL_DE_P1M WWW:LINK-1.0-http--link EOC EO Products Service EOC EO Products Service - STAC Collection: FCCL_DE_P1M https://geoservice.dlr.de/web/datasets/fccl EOC Geoservice Dataset EOC Geoservice Dataset https://www.dlr.de/content/de/artikel/news/2022/01/20220221_sorge-um-den-deutschen-wald.html WWW:LINK-1.0-http--link Sor­ge um den deut­schen Wald DLR News - Webpage 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 data set is based on time series of Sentinel-2A/B and Landsat-8/9 data. Processing: The satellite data is aggregated to monthly composites of the disturbance index (DI, Healey et al. 2005) and compared to the median DI from 2017 as a reference. The algorithm applies a fixed threshold to the difference images and counts how often the threshold is exceeded. An anomaly is considered FCCL if the threshold is exceeded six times in a row.