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
Presentation at ESA Advanced Training Course
At the 14th Advanced Training Course on Land Remote Sensing – Agriculture, held from 29 September to 3 October in Thessaloniki, researchers, early-career scientists, and experts from across Europe gathered to exchange knowledge on the latest advances in remote sensing...