Short Bio
Marc Rußwurm is a Junior Research Group Leader of the MEO-lab at the University of Bonn. He was previously Assistant Professor of Machine Learning and Remote Sensing at Wageningen University. His background is in Geodesy and Geoinformation, and he obtained a Ph.D. in Remote Sensing Technology at TU Munich. During his Ph.D., he visited the European Space Agency and the University of Oxford as a participant in the Frontier Development Lab (2018), and conducted research stays at the Obelix Laboratory in Vannes and the Lobell Lab at Stanford. As a postdoctoral researcher, he joined the Environmental Computational Science and Earth Observation Laboratory at EPFL, Switzerland. His research focuses on modern machine learning for Earth observation, with an emphasis on geospatial representation learning and Earth Embeddings. He develops methods that enable robust, transferable analysis of geospatial data and applies them to challenges such as agriculture, species mapping, and marine litter monitoring, with a particular interest in domain shifts and transfer learning in geographic settings.
News and Recent Publications
- I start the MEO-Lab as new Junior Research Group Leader at the Institute of Food and Resources Economics at the University of Bonn in February 2026
- The fourth Machine Learning for Remote Sensing (ML4RS) workshop at ICLR was accepted and will take place in Rio in April 2026.
- Our paper on “SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery” was accepted for publication at AAAI 2025. arXiv
Selected Publications
A full list of publications available via google scholar
- Earth Embeddings: Towards AI-centric Representations of our Planet
- SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
- Better, Not Just More: Data-centric machine learning for Earth observation
- Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
- Large-scale detection of marine debris in coastal areas with Sentinel-2.
Teaching
I regularly teach in the following courses at Wageningen University.
- Advanced Earth Observation (GRS-32306)
- Machine Learning (FTE-35306)
- Deep Learning (GRS-34806)
Academic CV
For a detailed list of talks, teaching activities, community engagement, and publications, please see my Academic CV
Apps and Links
Some projects, I work(ed) on.