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papersTODAY 04:00 UTC

Deep Evidential Regression Model Estimates Forest Height from Satellite Imagery

A revised arXiv paper presents a deep evidential regression approach for estimating forest height using multimodal satellite imagery. The method targets applications including carbon accounting, biodiversity monitoring, and ecosystem management. It aims to give accurate predictions while quantifying uncertainty in sparse-data settings.

remote-sensing/uncertainty/climate/deep-learning