Google maps the world’s forest types to show what replaces lost forests

Google DeepMind and partners have released a free global map that sorts forests into natural, planted and farmed types, and tracks how they change year by year.

1 min read

Google DeepMind

At a glance

map resolution, per pixel
10 m
forest types identified correctly
90%
labelled locations used for training
1.7M
What’s new
ForTy 2020, built with the World Resources Institute and IIASA, sorts every 10-metre patch of land into six forest and land-use types, from primary forest to tree crops. An early time series tracks changes each year from 2017 to 2025.
Who it affects
Companies and regulators working under the EU’s deforestation rules, plus conservation groups and forest researchers.

Most global maps only show whether trees are present, so an old rainforest and an oil palm estate can look the same from space. The EU’s deforestation regulation needs more than that: it bars products like coffee, cocoa and palm oil from land that was forest in 2020 and was later converted. The model learns from AlphaEarth Foundations satellite summaries to spot planting patterns and harvest cycles. Checked against more than 9,000 random sites reviewed by experts, it also told forest from non-forest land 95% of the time. Instead of a yes-or-no label, it gives a probability for each type, so users can set their own thresholds.

Why it matters

Supply-chain rules need to know what replaced a forest, not just that trees disappeared. A natural forest that is logged and replanted as a plantation looks green again from space, so ordinary tree-cover maps miss the change. Free, open data at this level of detail could make compliance checks cheaper, though the year-by-year series is still an early release and will keep changing.

Beyond tree cover: mapping the world’s forest types

Google DeepMind

deepmind.google

Summary by Second Order AI. Full reporting is at the original source.