Leonard Hammer handed in his B.Sc. thesis on “explaining spatial patterns of stork movements using remote sensing data”. He used stork data from the Lake Constance region and applied species distribution models on different behavioral states (nesting, feeding etc.) using Landsat TimeScan data. This data set provides temporal metrics for the last years, such as max, min and variance of the NDVI. Moreover, he tested different model performances and scaling effects and found partly that lower resolution data resulted in more sounds results. He was supervised by R. Remelgado and Dr. Martin Wegmann
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...








