6f49bd22-5d73-44de-8d9b-95bb9825013f English Dataset German Aerospace Center (DLR) geoservice@dlr.de 2025-06-28T07:07:15 ISO 19115-1:2014/19139 EPSG:3035 - ETRS89-extended / LAEA Europe Forest Canopy Cover Loss (FCCL) - Germany - Monthly, Administrative Level 2025-06-11T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/6f49bd22-5d73-44de-8d9b-95bb9825013f This vector dataset is based on a 10 m resolution raster dataset that shows forest canopy cover loss (FCCL) in Germany at a monthly resolution from September 2017 to September 2024. Results at pixel level were aggregated at municipality, district, and federal state level. For the results at administrative level we differentiate between deciduous and coniferous forests. We use the stocked area map 2018 (Langner et al. 2022, https://doi.org/10.3220/DATA20221205151218 ) as a reference forest mask. We differentiate between deciduous and coniferous forests by intersecting the stocked area map with a tree species map (Blickensdoerfer et al. 2024). Pixels of the classes birch, beech, oak, alder, deciduous trees with long lifespan and deciduous trees with short lifespan were classified as deciduous forest and pixels of the classes Douglas fir, spruce, pine, larch and fir as coniferous forest. The coverage of the two datasets is not identical, which is why a few areas of the forest reference map remained unclassified. These were filled with the dominant leaf type map of the Copernicus Land Monitoring Service (CLMS 2025). Therefore, the vector data at administrative level contains information about unclassified forest areas and the total forest area as the sum of deciduous, coniferous, and unclassified forests. The FCCL confidence at pixel level is lowest at the end of the time series because the number of repeated threshold exceedance is used as a criterion to record forest canopy cover losses. Therefore, we excluded July 2024 through September 2024 from the annual and overall statistics and summarized the respective FCCL as additional attribute. The dataset is a fully reprocessed continuation of the assessment in Thonfeld et al. (2022). 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. It allows comparisons at administrative level. German Aerospace Center (DLR) Frank.Thonfeld@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/6f49bd22-5d73-44de-8d9b-95bb9825013f/attachments/fccl_de_stats_ql.png large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/6f49bd22-5d73-44de-8d9b-95bb9825013f/attachments/fccl_de_stats_ql_s.png thumbnail Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.local.theme.inspire-theme National Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en DLR EOC opendata Forest Canopy Cover Loss Disturbance Sentinel-2 Landsat Administrative Level Multispectral Germany 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 (year of production)"} English biota 5.99 15.02 47.30 54.99 2017-09-01T00:00:00 2024-09-30T00:00:00 Geopackage https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_VEC EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_GEM EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_KRS EOC Land Map Service https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FCCL_DE_P1M_LAN EOC Land Map Service https://download.geoservice.dlr.de/FCCL/files/statistics WWW:LINK-1.0-http--link HTTP Download https://geoservice.dlr.de/web/datasets/fccl_stats 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 the FCCL product at pixel level which uses time series of Sentinel-2A/B and Landsat-8/9 data. Processing: Due to the fact that pixel outlines do not follow the shape of the administrative borders the computed areas can differ from per-polygon computations and hence official statistics. This also impacts the computation of percentages. Quality Assurance: The municipalities with very little forest area may show unusually high values due to the limited spatial resolution of the satellite data and the associated high Impact of single pixels.