Analyzing species-environment interaction is feasible using various data and method. An increasing technology is the tracking of animals and especially its linkage to remote sensing, as covered in AniMove.org. However, with this technology new challenges have to be dealt with, e.g. the decrease in accuracy of tracking devices in dense vegetation. In this innovation laboratory you can explore the error margins of tracking devices in relation to the landcover and explore options to solve it and being able to provide new improved methods to link animal movement data and remotely sensed environmental information.
EAGLE MSc Defense “Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda”
On September 16, 2025, Jean de Dieu Tuyizere will present his Master Thesis on "Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda" at 12:00 in seminar room 3, John-Skilton-Str. 4a From the abstract:...