Mapping the World's Forests with Greater Precision: Introducing Canopy Height Maps v2

Meta AI Blog

Meta and the World Resources Institute released Canopy Height Maps v2, an open-source model that uses satellite imagery to measure forest structure globally for conservation and land management. The model's accuracy metric (R²) improved from 0.53 to 0.86, and it was built using Meta's DINOv3 vision model trained on 493 million satellite images. Governments and organizations in the UK, EU, and US cities are already using the maps to monitor forests, track tree-planting commitments, and plan urban cooling interventions.

Why it matters

In partnership with the World Resources Institute, today we’re announcing Canopy Height Maps v2 (CHMv2), an open source model, along with world-scale maps generated with the model.