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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.

Deep Evidential Regression biodiversity-monitoring carbon-accounting forest-height-estimation satellite-imagery uncertainty-quantification

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arXiv cs.LGDeep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery ↗TODAY 04:00 UTC