M.Sc. in Remote Sensing & Geoinformatics from KIT, with a background bridging geoscience and Earth observation. My research sits at the intersection of multi-sensor EO and deep learning.
Forest above-ground biomass through deep-learning fusion of GEDI L4A with Sentinel-1/2, benchmarked against ESA CCI Biomass.
- Sensor fusion across SAR, optical, and spaceborne LiDAR
- Deep learning for Earth observation: semantic segmentation, biomass regression, uncertainty quantification
- Multi-temporal analysis and change detection
- SAR / InSAR processing (Sentinel-1, TerraSAR-X)