Paving the Way for Uncertainty-Aware Forestry Products Using TanDEM-X and AI
A novel Bayesian DL framework for the uncertainty-aware estimation of forest height from single-pass TanDEM-X InSAR data, marking its first application to synthetic aperture radar interferometry and paving the way for real-world prediction of uncertainty-aware forest canopy height products from InSAR data.