Our successfully funded new project will start in August called EO-MOVE “multiscale and -sensor environmental analysis for the analysis of spatio-temporal movement patterns and their relevance for remote sensing“. This project is exploring the importance of active and passive Sentinel data for explaining goose movement patterns. Sentinel 1 and Sentinel 2 will be used to understand and explain the movement patterns and deduce habitat requirements of these animals. The approaches should of course be transferable to other species and various remote sensing specific sensitivity tests will be performed. Benjamin Leutner will work on this project in close collaboration with the Max-Planck Institute for Ornithology in Möggingen (Wikelski, Kölzsch, Safi). More updates about the outcome of this project will be posted soon.
Successful MSc Thesis Defense by Sharmin Mim on Ability of Random Forest Model to Predict the Mean and,Standard Deviation of Winter Wheats Biomass in Bavaria: A Case Study
Congratulations to Sharmin Mim on the successful defense of her MSc thesis, titled "Ability of Random Forest Model to Predict the Mean and Standard Deviation of Winter Wheat Biomass in Bavaria: A Case Study." Her work focused on the Rhön region, where she combined...
