Christian Schäfer joined the EO4CAM project in May 2024. He received his Master’s degree in 2017 from Julius-Maximilians-Universität Würzburg (JMU), focusing on GIS-based synthesis of transboundary soil maps. During his work in the JMU BigData@Geo project, he enhanced his skills in distributed hydrological modeling. As an enthusiastic user of R and Julia for geospatial applications, he will contribute to the team with modeling and data management strategies.
Check out Christian’s work on ResearchGate https://www.researchgate.net/profile/Christian-Schaefer-15
or ORCID https://orcid.org/0000-0003-0585-039X
Successful MSc Defense by Laura Obrecht
At the recent EAGLE MSc defenses, Laura Obrecht presented her thesis on the detection of grassland mowing events using Sentinel-1 InSAR coherence and deep learning approaches. Her work, titled “Detektion von Grünlandmahd mit Sentinel-1 InSAR Coherence und einem Deep...








