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
Field Excursion to Owabi Wildlife Sanctuary
As a highlight of the third day of our training at KNUST on the use of remote sensing for biodiversity conservation, we took our participants on a field excursion to the nearby Owabi Wildlife Sanctuary. Guided by experienced local experts, we explored the area and had...
