Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis.
From Kruger to Potchefstroom: Reconnecting with South African EAGLE
After completing their internship in Kruger National Park, EAGLE students Sebastian and Clemens were not quite ready to leave South Africa behind. Instead of heading straight home, they reunited with their South African EAGLE friend, Charl Strydom, for a road trip...
