A new MSc. student started her thesis “Suitability of Light detection and ranging (LiDAR) data and texture measures of aerial images to model the species distribution of Glaucidium passerinum (Pygmy Owl) in Vercors, French Alps”. Wanda Graf is using LiDAR data to describe the three dimensional habitat structure of Glaucidium passerinum at different scales. Moreover texture measures of aerial images will be used to describe the habitat structure of Glaucidium passerinum at different scales. It is assumed that LiDAR data are more suitable to model the distribution of Glaucidium passerinum than texture measures of aerial images. The thesis is supervised by Dr. Björn Reineking and Dr. 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...
