Forest Height Retrieval from TanDEM-X InSAR

#SAR #InSAR #Machine Learning #Forest & Biomass #PhD Thesis

Core PhD research at DLR’s Microwaves and Radar Institute and ETH Zürich’s Chair of Earth Observation and Remote Sensing (2021-2025). Built and validated a hybrid AI-physical model that fuses neural networks with electromagnetic scattering models to retrieve forest height from TanDEM-X InSAR data, validated over tropical biomes in Gabon and the Amazon, and explicitly noted as relevant to ESA’s Biomass mission.