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Google DeepMind and partners release global forest type map ForTy 2020 and time series

1 reports1 sources10/22/2026 updated

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Google DeepMind and partners released ForTy 2020, a global forest type map classifying land into six categories including natural forest, plantation, and cropland at 10x10 meter resolution. The dataset includes a 2017-2025 time series and reportedly achieves 90% classification accuracy, enabling monitoring of natural forest-to-plantation conversion and compliance with EU deforestation regulations.

Written with AI from the reporting · updated 10/22/2026

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  1. 1Unclassified fact stationOct 22, 00:00recorded Oct 22, 23:07single sourcerevised

    发布全球森林类型地图 ForTy 2020 及年度变化时间序列

    Read original source ↗ Google DeepMindReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject:
    google
    Action:
    发布全球森林类型分类地图
    Object:
    全球每 10x10 米土地 patch 分类为六类森林/土地用途
    Occurred (fact side):
    Oct 22, 00:00
    Google DeepMind ↗Report pageRevision 2 · currently revised
    Published (valid side):
    Oct 22, 22:30
    First seen (known side):
    Oct 22, 23:07
    Fact stationSingle source · one-sided claimRevised

    Copy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.

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Oct 22
  1. Google DeepMindFirst-party sourceRelated fact: single sourceSource report revised
    Google DeepMind and partners release ForTy 2020, a 10-meter global forest typology map

    Report first recorded Oct 22, 23:07

    Google DeepMind, Google Research, World Resources Institute (WRI), and International Institute for Applied Systems Analysis (IIASA) released Forest Typology (ForTy) 2020, a global map categorizing every 10-by-10-meter patch of land into six distinct forest and land-use types, including natural, planted, or farmed. This map, alongside an early time series tracking changes from 2017 to 2025, shows not just where forest was lost, but what replaced it, providing a key baseline for the EU's deforestation regulation (EUDR).

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