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. The first supervisor is Dr. Martin Wegmann.
EAGLE Daria did her internship in Bergen
Our EAGLE student Daria recently wrapped up an internship at the University of Bergen in the Remote Sensing research group. With the support of her supervisor, Dr. Benjamin Abreu Robson, she got to work on the Jostedalsbreen glacier using drone and satellite data. Her...
![[presentationT] EAGLE Internship Presentation ” Research and development of data strategies for disaster management, early warning systems, and refugee data analysis”](http://eagle-science.org/wp-content/uploads/2024/12/Sources_TEMA-400x250.png)
