Beyond tree cover: mapping the world’s forest types
DeepMind released a high‑resolution global map that classifies every 10‑meter cell on Earth into distinct forest types, moving beyond simple canopy cover metrics. The map leverages satellite imagery and advanced machine‑learning models to provide detailed ecological insights for conservation and climate research.
- The new dataset offers the first planet‑wide, fine‑scale classification of forest composition, not just tree cover.
- AI‑driven analysis of satellite data enables rapid, consistent mapping across diverse biomes and remote regions.
- Researchers and policymakers can use the map to improve biodiversity monitoring, carbon accounting, and targeted forest management.
