{"version":1,"type":"story","url":"https://digestai.news/story/google-deepmind-creates-global-forest-map-with-satellite-data-and-ai","json":"https://digestai.news/story/google-deepmind-creates-global-forest-map-with-satellite-data-and-ai.json","markdown":"https://digestai.news/story/google-deepmind-creates-global-forest-map-with-satellite-data-and-ai.md","slug":"google-deepmind-creates-global-forest-map-with-satellite-data-and-ai","headline":"Google Deepmind creates global forest map with satellite data and AI","summary":"Google DeepMind and the World Resources Institute released ForTy, a global satellite map of 2020 land cover that classifies areas at 10‑meter resolution into six categories, including primary forest, plantations, and tree crops. The system uses AlphaEarth Foundations and multiple image‑recognition stages to distinguish forest types by growth and harvest cycles, not appearance alone.\n\nForTy achieved 90.2% overall accuracy and outperformed European Commission maps on the same test data, scoring 95.5% versus 93.6% for forest versus non‑forest classification and 90.9% versus 87.8% for forest types. Experts reviewed 8,190 randomly selected sites, finding the map correct in 90.2% of cases, but it identified only about half of tree crops and planted forests and 60% of plantations.\n\nThe map provides a 2020 reference point needed for the EU Regulation on Deforestation‑free Products, helping companies assess supply‑chain risks and support global conservation targets, though gaps in tree crop and plantation detection limit its usefulness for policy enforcement.","keyPoints":["ForTy maps 2020 land cover at 10‑meter resolution into six classes, achieving 90.2% overall accuracy.","The map outperforms European Commission maps, scoring 95.5% vs 93.6% for forest vs non‑forest and 90.9% vs 87.8% for forest types.","ForTy identifies only about half of tree crops and planted forests and 60% of plantations, limiting its usefulness for EUDR compliance."],"whyItMatters":"Mapping forest types at 10‑meter resolution provides a precise 2020 reference needed for EU deforestation‑free product rules. Accurate data help companies assess supply‑chain risks and support global conservation targets, though current gaps in tree crop and plantation detection highlight challenges for policy enforcement.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Google DeepMind","World Resources Institute","European Commission","Tropical Forest Forever Facility","UN"],"models":["ForTy","AlphaEarth Foundations"],"people":[]},"firstPublishedAt":"2026-10-31T10:15:45Z","updatedAt":"2026-10-31T10:15:45Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"The Decoder","title":"Google Deepmind creates a global map of forests with satellite data and AI","url":"https://the-decoder.com/google-deepmind-creates-a-global-map-of-forests-with-satellite-data-and-ai","publishedAt":"2026-10-31T10:15:45Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Google Deepmind creates global forest map with satellite data and AI\", 31 October 2026, https://digestai.news/story/google-deepmind-creates-global-forest-map-with-satellite-data-and-ai","publisher":"Digest AI","title":"Google Deepmind creates global forest map with satellite data and AI","datePublished":"2026-10-31T10:15:45Z","url":"https://digestai.news/story/google-deepmind-creates-global-forest-map-with-satellite-data-and-ai"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}