Abstract:
Grassland mowing dynamics (i.e. the timing and frequency of mowing events) have a strong impact on grassland functions and ecology. Reliable and spatially highly resolved maps on grassland mowing dynamics are so far not available for Germany. As grasslands in Germany are managed on small-scale units and highly dynamic, 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 and the timing of the first mowing event 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.
Product Information:
- Product Name: Grasslands Mowing Dynamics
- Release: 2025-04-15
- Contact: Sophie Reinermann
Data Information:
Data Access:
References:
- Reinermann, S., et al. (2022). Detection of grassland mowing events for Germany by combining Sentinel-1 and Sentinel-2 time series. Remote Sensing 14(1647): 1-27.https://doi.org/10.3390/rs14071647
- Reinermann, S., et al. (2023). Multi-annual grassland mowing dynamics in Germany: spatio-temporal patterns and the influence of climate, topographic and socio-political conditions. Frontiers in Environmental Science 11: 1040551. https://doi.org/10.3389/fenvs.2023.1040551
DLR © 2025
Keywords:
DLR, EOC, Agriculture, Germany, Mowing, Cutting, Meadow, Grassland Management, Sentinel-2
Map Projection:
Bounds: 4000000, 2650000, 4700000, 3550000
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