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.
![[software] Spatial Earth Observation R packages by our EAGLEs](http://eagle-science.org/wp-content/uploads/2024/04/snow_cover_plot_Daria-400x250.png)
[software] Spatial Earth Observation R packages by our EAGLEs
Our EAGLE students that took and passed our Introduction to spatial programming course had to submit an R package that applies spatial methods for a variety of Earth Observation data. We are very proud to show the huge diversity of very interesting and useful R...
