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.
The data set comprises petrophysical laboratory data for four carbonate rocks and one sandstone – both in solid rock and crushed state. Rock plugs and particle packings of intentionally crushed and sieved material are investigated. Thereby, eight particle size classes with a mean diameter between 0.032 and 9.66 mm are investigated. The data set includes complex electrical conductivity (from Spectral Induced Polarization – SIP), specific surface (from nitrogen adsorption) and porosity (from mercury intrusion MIP). Further analyses include e.g. particle geometry, Nuclear Magnetic Resonance (NMR), Scanning Electron Microscopy (SEM), Computer Tomography (μCT), uniaxial compression strength and mineralogical composition (chemical analysis, XRD).
The timing of the first mowing event per year strongly impacts grassland functions and ecology, such as the provision of habitats and species composition. 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 the date of the first mowing event per year is extracted. 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.