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 Thesis Defense by Sharmin Mim on Ability of Random Forest Model to Predict the Mean and,Standard Deviation of Winter Wheats Biomass in Bavaria: A Case Study
Congratulations to Sharmin Mim on the successful defense of her MSc thesis, titled "Ability of Random Forest Model to Predict the Mean and Standard Deviation of Winter Wheat Biomass in Bavaria: A Case Study." Her work focused on the Rhön region, where she combined...