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
our research covered by television
At the opening of the CAIDAS we also had the opportunity to present our research and development work to various media representatives. For example, we reported on our remote sensing work to ARD and Bayerischer Rundfunk as well as for Mainfranken TV - see e.g. here...