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Open access 2026

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.

Daniel Carcereri, Federico Ghio, S. Puliti et al. · 0 citations

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