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Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery
Accurate estimation of forest height from satellite imagery is essential for applications such as carbon accounting, biodiversity monitoring, and ecosystem management. While recent deep learning approaches provide accurate predictions, they typically do not quantify predictive uncertainty. This limi
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