Skip to main content

Combining AI Techniques with Physical Models: Forest Height Inversion from TanDEM-X InSAR Data Using a Hybrid Modeling Approach

Islam Mansour, Kostas Papathanassiou , Ronny Hänsch , Irena Hajnsek · BioGeoSAR Book of Abstracts , 2023

HTML

Abstract

In this study, we propose a novel hybrid modeling approach that combines machine learning techniques and physical models to invert forest height from TanDEM-X InSAR data. Accurate estimation of forest height is crucial for understanding forest structure and biomass, which in turn plays a pivotal role in climate change mitigation and ecosystem management. This approach might be relevant for the Biomass mission.

Citation

@inproceedings{mansour2023combining,
  title = {Combining AI Techniques with Physical Models: Forest Height Inversion from TanDEM-X InSAR Data Using a Hybrid Modeling Approach},
  author = {Mansour, Islam and Papathanassiou, Kostas and Hänsch, Ronny and Hajnsek, Irena},
  booktitle = {BioGeoSAR Book of Abstracts},
  year = {2023}
}