MM - Scale-specific geodata integration and analysis
- Agricultural remote sensing (phenology, data fusion, crop classification, crop parameters, production data, land cover, utilisation intensity)
- Digital soil modelling (soil erosion, soil forecasting, soil evaluation, relief analysis)
- Agricultural yield-relevant extreme weather indicators
Current projects
- BeetScan: Provision of satellite information for the Nordzucker Agriportal (derivation of technical production data)
- SOIL-DE: Development of indicators to assess the yield capacity, utilisation intensity and vulnerability of agricultural soils in Germany (soil prognosis)
- NaLamKI: Sustainable agriculture using AI, sub-project “Multiscale and multisensory information extraction from remote sensing data” (data fusion, phenological metrics)
- DynAWI: Dynamic agricultural weather indicators for extreme weather forecasting in agriculture using artificial intelligence and machine learning methods (dynamic soil erosion modelling, extreme weather indicators, machine learning)
- Sen2Bee: Sentinel for bees – web services for landscape analysis of bee poisoning and biodiversity promotion (crop species classification, phenology)
- MonViA: The nationwide monitoring of biodiversity in agricultural landscapes, sub-project “Land use monitoring” (utilisation intensity, structural measures, indicators)