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.
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The layer shows the number of times grassland is mown per year.
Title: STAC
Endpoint: https://geoservice.dlr.de/eoc/ogc/stac/v1
Collection: GL_MOW_DE_P1Y_FREQ
Request: Collection (JSON)
Preview: Collection (HTML)
Items: Request (JSON)
Title: EOC Land Map Service
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: GL_MOW_DE_P1Y_FREQ
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)
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2025-04-15