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
New publication on built-up height mapping using remote sensing data
New publication on built-up height mapping using remote sensing data Researchers from the China Agricultural University in Beijing, the Meteorological Administration in Beijing, the Tsinghua University in Beijing, the East China Normal University in Shanghai,...
