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
staff news: our PhD student Ines Standfuss
Ines Standfuß is a PhD student at the Earth Observation Research hub, Institute of Geography and Geology at University of Würzburg and the Earth Observation Center (EOC) of the German Aerospace Center (DLR). She is under the supervision of Prof. Dr. Hannes Taubenböck...
