Ruben Remelgado joint the Department of Remote Sensing as new PhD student. He was working for EURAC in Bolzano on different remote sensing topics before coming to Wuerzburg and starting his PhD on remote sensing for improving animal movement analysis. He is working in the Opt4Environment project and is collaborating with DLR (Thomas Esch) and MPI-O (Kamran Safi). He is supervised by Martin Wegmann.
New publication: Mapping animal paths using drones and deep learning
We're pleased to share our latest open-access research on automatically detecting animal paths in Africa's Kruger National Park using drone imagery and deep learning. Published in Ecological Informatics, our study demonstrates how deep learning can be employed to...







