242a4f00-c6bf-4d53-a2ec-fd20a2895b7b English Dataseries German Aerospace Center (DLR) geoservice@dlr.de 2025-04-15T09:41:48 ISO 19115-1:2014/19139 2003/Cor.1:2006 2 95000 10 92967 10 false EPSG:4326 GrassLands - Mowing Frequency - Yearly, 10m 2025-04-15 https://geoservice.dlr.de/catalogue/srv/metadata/242a4f00-c6bf-4d53-a2ec-fd20a2895b7b Grassland mowing dynamics (i.e. the timing and frequency of mowing events) have a strong impact on grassland functions and yields. As grasslands in Germany are managed on small-scale units and grass grows back quickly, satellite information with high spatial and temporal resolution is necessary to capture grassland mowing dynamics. Based on Sentinel-2 data time series, mowing events are detected throughout Germany and annual maps of the grassland mowing frequency generated. The grassland mowing detection approach operates per pixel, including preprocessing of the Enhanced Vegetation Index (EVI) time series and a calibrated rule-based grassland mowing detection which is specified in more detail in Reinermann et al. 2022, 2023. Information on grassland mowing frequency, i.e. the number of mowing events per year, are meaningful for scientific analyses of grassland ecosystem services, including yields, biodiversity, nutrient storage and fluxes (e.g. N, C), erosion and water quality. In addition, the mowing frequency reflects the use intensity and can be of interest for authorities and the general public. German Aerospace Center (DLR) sophie.reinermann@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/242a4f00-c6bf-4d53-a2ec-fd20a2895b7b/attachments/MowFrequ_ql.png large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/242a4f00-c6bf-4d53-a2ec-fd20a2895b7b/attachments/MowFrequ_ql_s.png thumbnail Land use 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 DLR EOC Germany Agriculture Mowing Cutting meadow grassland management Sentinel-2 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. Es gelten keine Zugriffsbeschränkungen 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 Namensnennung - 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (year of production)"} 20000 English farming 5.87 15.04 47.27 55.06 2018-01-01T00:00:00Z GeoTIFF https://geoservice.dlr.de/eoc/land/wms? OGC:WMS GL_MOW_DE_P1Y_FREQ EOC Land Map Service https://geoservice.dlr.de/web/datasets/gl_mow_freq WWW:LINK-1.0-http--link EOC Geoservice Dataset EOC Geoservice Dataset https://download.geoservice.dlr.de/GL_MOWING/files/frequency WWW:LINK-1.0-http--link HTTP Download Service https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/GL_MOW_DE_P1Y_FREQ WWW:LINK-1.0-http--link EOC STAC Collection EOC STAC Collection 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 All available Sentinel-2 data of the respective year for the whole of Germany are used. Processing: Sentinel-2 Enhanced Vegetation Index time series are cleaned, filled and smoothed per pixel. Afterwards the calibrated rule-based mowing detection approach is applied. The data is masked with the Copernicus High Resolution Grassland Layer 2018. Quality Assurance: The mowing dates are validated using an independent dataset (compare Reinermann et al. 2022, 2023) and checked for plausibility.