Results showed the robustness of the method across all study areas and different types of grasslands. Its performances and sensitivity were then thoroughly assessed in an independent study area using a more precise and complete reference dataset based on an intensive field campaign. The method was first validated in six European countries, based on Planet image interpretation. This multi-source approach for grassland monitoring was assessed over large areas and in various contexts. In this study, we present a new method combining the regular observations of Sentinel-1 (S1) and the better accuracy of Sentinel-2 (S2) grassland mowing detection algorithms. Recent studies have shown the feasibility of detecting mowing events using remote sensing time series from optical and radar satellites. The timing and frequency of mowing events are major factors of grassland management. ![]() Appropriate grassland management is key for balancing trade-offs between provisioning and regulating ecosystem services. Managed grasslands cover about one third of the European utilized agricultural area.
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