AI RESEARCH
Hybrid Machine Learning Model for Forest Height Estimation from TanDEM-X and Landsat Data
arXiv CS.LG
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ArXi:2605.20997v1 Announce Type: cross Integrating machine learning (ML) with physical models (PM) has emerged as a promising way of retrieving geophysical parameters from remote sensing data. In this context, a ML model for estimating forest height from TanDEM-X interferometric coherence measurements has recently been proposed, that constrains the learning process through a PM. While the features used for