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
How We Learned to Fly: The Story Behind UAS Research at EORC
Every research group that's ever bought a drone has a story about the first one it lost. We're no different. So let's just get that out of the way up front: this is the inside story of how UAS (Unoccupied Aerial System) research grew up at the Earth Observation...








