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.
Maninder Singh Dhillon presents a new farmland biodiversity indicator for Bavaria at NSO-GfÖ 2026
This week, EORC postdoc and EO4cam researcher Dr. Maninder Singh Dhillon presented work on a new product developed as part of the EO4cam project at the joint NSO-GfÖ 2026 conference in Odense, Denmark: A bavarian-wide biodiversity indicator for farmland that measures...







