Probabilistic land use (B04)

• Subject Area: Animal Breeding, Animal Nutrition, Animal Husbandry
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 450058266

The project aims to improve existing maps on crop and irrigation choices. Using Bayesian statistical approaches, we merge a broad range of input data (existing land use maps, remote sensing data, official statistics, sample data) to a land use map with uncertainty information. The map will provide a consistent and complete time series for Europe with an unprecedented combination of spatial resolution and crop coverage. Moreover, the developed methodological approaches make use of data driven models and existing knowledge on land use change and farmers crop choices to combine the respective advantages.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1502: Regional Climate Change: Disentangling the Role of Land Use and Water Management
• Applicant Institution: Rheinische Friedrich-Wilhelms-Universität Bonn
• Project Heads: Professor Dr. Thomas Heckelei; Dr. Hugo Storm