
Google DeepMind
· 1 min read
Beyond tree cover: mapping the world’s forest types
October 22, 2026 Research
Maxim Neumann and Charlotte Stanton
A new 10-meter resolution map shows which of the world's forests are natural, planted, or farmed, and how they are changing over time
Protecting the planet's forests starts with a simple question: what type of forest are we looking at? From space, an old-growth rainforest, a eucalyptus plantation, and an oil palm estate can look like the same patch of green. But they hold very different amounts of carbon and biodiversity. Telling them apart, and knowing how each patch has changed over time, shows us where conservation is working and where natural forests are being converted into plantations and farms.
Today, Google DeepMind and Google Research, together with the World Resources Institute (WRI) and the International Institute for Applied Systems Analysis (IIASA), are releasing Forest Typology (ForTy) 2020, a global map that categorizes every 10-by-10-meter patch of land on Earth into six distinct forest and land-use types, a key baseline for the EU's deforestation regulation. Alongside it, we're sharing an early time series that tracks how these forests changed each year from 2017 to 2025, including where natural forests were replaced by plantations or farms. For the first time, users can see at 10-meter detail worldwide, year by year, not just where forest was lost, but what replaced it: a timber plantation, a tree-crop farm or other land.
Why "tree cover" isn't enough
All forests store carbon and, together, forests are home to most of the world's land-based plant and animal species. But a forest’s ecological value also depends on its history: a primary forest that has never been cleared holds far more carbon and biodiversity than a single-species timber plantation that is harvested every decade or two.
How ForTy classifies the world's forests
Specifically, ForTy sorts land into six categories based on definitions from the UN Food and Agriculture Organization (FAO):
Original source
This story was published by Google DeepMind. SyncAI.news shows a preview; the complete article is on the publisher's site.
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