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
UAS data acquisition in Würzburg city
For a small part of the city of Würzburg covering buildings and city trees Lidar (ALS, TLS), thermal and multispectral UAS-based data was acquired, lead by Dr. Mirjana Bevanda and our colleagues Antonio Castaneda and Jakob Schwalb-Willmann with the help of many staff...
