New Team Member at the EORC: Sonja Mass

New Team Member at the EORC: Sonja Mass

October 2, 2025

Sonja Maas joined the Earth Observation Research Cluster (EORC) in October 2025 as a research assistant for the EO4CAM project.

After finishing her bachelor’s degree in forestry, Sonja Maas enrolled in the EAGLE M.Sc. program at the University of Würzburg, where she focused on earth observation with a strong emphasis on forest-related topics. Her interest in forestry, remote sensing, and bridging the gap between research and practical application is reflected also in her master thesis on LiDAR applications for forest management planning.

To deepen her practical expertise, she gained practical experience in both forestry and the remote sensing through internships at HessenForst, the University of Bergen, and the EO4CAM project at the University of Würzburg.

She is now beginning her PhD in the forestry working group of the EO4CAM project, where her research will focus on mapping and monitoring the vulnerability of Bavarian forests.

follow us and share it on:

you may also like:

Upcoming PhD Defense by Sebastian Buchelt on 11th February

Upcoming PhD Defense by Sebastian Buchelt on 11th February

We are happy to announce that our colleague Sebastian Buchelt will defend his PhD thesis "Potential of Synthetic Aperture Radar time series for mapping and monitoring of small-scale periglacial processes in alpine environments" on February 11th at 12 pm at...

PhD submission by Henri Debray

PhD submission by Henri Debray

Shortly before the end of the year, while many of us were preparing for the Christmas break, our colleague Henri Debray submitted his doctoral thesis, “Characterizing Urban Morphology at a Global Scale: Geospatial Perspectives,” to the Technical University of Munich,...

PhD submitted by Julia Rieder

PhD submitted by Julia Rieder

We are pleased to share that our PhD student Julia Rieder has successfully submitted her doctoral thesis! Her dissertation, entitled “Abiotic and biotic drivers of drought responses in European beech (Fagus sylvatica L.) inferred from field and LiDAR data”,...

New Funded Project on Automated Detection of Mining Areas

New Funded Project on Automated Detection of Mining Areas

In a newly launched research project funded by the KSB Foundation, we focus on the automated identification of mining areas based on remote sensing data. The aim is to systematically detect large-scale mining activities and to track their spatial and temporal...

Share This