Peatlands are enormous terrestrial carbon sinks. In addition to large amounts of organic carbon that is fixed in the soils over long periods of time, peatlands provide a habitat for unique animal and plant species. However, 92% of peatland soils in Germany are currently drained. The MoorgrünFE project aims to generate a set of indicators for grassland sites on drained peat soils or peat soils undergoing rewetting at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometers, drones with hyperspectral cameras, and satellite imagery) that can be a proxy of vegetation characteristics, soil condition, and land use. They can also serve as input variables for process-based models to simulate SOC content. Such a model will be used to simulate the potential future evolution of SOC content under different land uses and different climate scenarios. The project aims to systematically capture multiple interactions between abiotic (climate, soil, water balance) and biotic (vegetation, species, habitats) components as well as different measures of management of a landscape that is in many respects far from a stable equilibrium. Overall, the methods developed will be suitable for monitoring the resilience and changes of peatland grasslands in larger areas and could be used to target intended restoration measures to the most vulnerable areas.