AI RESEARCH
CHMv2: Improvements in Global Canopy Height Mapping using DINOv3
arXiv CS.CV
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ArXi:2603.06382v1 Announce Type: new Accurate canopy height information is essential for quantifying forest carbon, monitoring restoration and degradation, and assessing habitat structure, yet high-fidelity measurements from airborne laser scanning (ALS) remain unevenly available globally. Here we present CHMv2, a global, meter-resolution canopy height map derived from high-resolution optical satellite imagery using a depth-estimation model built on DINOv3 and trained against ALS canopy height models.