Skip to main content

Machine Learning in Model-Based Forest Height Inversion

Islam Mansour, Kostas Papathanassiou , Ronny Hänsch , Irena Hajnsek · POLinSAR Online Abstracts , 2023 · Presented at the ESA POLinSAR Workshop (2023).

HTML

Abstract

Model-based (PM) forest height inversion from Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) measurements is today an established application demonstrated and validated at large scales for a wide variety of boreal and tropical forest sites at different frequencies. However, as with any model-based inversion approach, there are inherent limitations that can restrict expected performance depending on the individual case.

Citation

@inproceedings{mansour2023machine,
  title = {Machine Learning in Model-Based Forest Height Inversion},
  author = {Mansour, Islam and Papathanassiou, Kostas and Hänsch, Ronny and Hajnsek, Irena},
  booktitle = {POLinSAR Online Abstracts},
  year = {2023}
}