CHMv2: Improvements in Global Canopy Height Mapping using DINOv3
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Aaditeshwar Seth
Mar 13, 2026, 10:37:13 PMMar 13
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This came up in discussions in the dev call yesterday. If you are interested in building canopy height products then perhaps taking the output of this 1m dataset for 2018-2020 as labels to train sentinel-1/2 data or AEF/TESSERA embeddings will be better than training on 25m labels from GEDI. The main benefit of training on sentinel and derived data will be the freedom to produce annual outputs ourselves.
Adi
Co-founder, Gram Vaani; Co-founder, CoRE Stack
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