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P. Rizzoli

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Open access 2026

Paving the Way for Uncertainty-Aware Forestry Products Using TanDEM-X and AI

As forests face increasing anthropogenic pressure, the robust, large-scale remote sensing of key biophysical parameters, such as forest height and above-ground biomass density, has become essential to guide conservation efforts and climatological analyses. While deep learning (DL) applied to interferometric synthetic a...

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

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