{"data":{"event":{"id":"4956c574-06ff-4faf-afa3-6ece3260a0ba","slug":"alphaearth-foundations-satellite-embeddings","title":"AlphaEarth Foundations releases annual 10-meter satellite embeddings","short_summary":"On 30 July 2025 DeepMind introduced AlphaEarth Foundations, a model that embeds petabytes of Earth observation into a compact annual 10-meter representation released in Google Earth Engine and tested with more than 50 partner organizations.","full_description":"Partners including mapping groups reported faster classification of ecosystems and land-use change. The release is a data product plus model, not a completed global conservation outcome. Evidence is still largely developer-reported case studies.","ledger_type":"benefit","primary_domain_id":"99fd8a40-a540-41d3-af98-57c1709ee422","event_status":"provisional","event_date":"2025-07-30T00:00:00.000Z","discovery_date":"2025-07-30T00:00:00.000Z","first_published_date":"2025-07-30T00:00:00.000Z","last_reviewed_date":"2025-07-30T00:00:00.000Z","geographic_scope":"Global terrestrial and coastal mapping","affected_population":"Mapping agencies and NGOs using the Earth Engine embedding dataset","base_impact_tier":2,"base_score":"3.00","attribution_multiplier":"0.7500","evidence_multiplier":"0.2500","realization_multiplier":"0.6500","durability_multiplier":"0.5000","current_event_score":"0.164500","confidence_level":"medium","score_explanation":"Notable operational geospatial embedding (tier 2). Substantial attribution. Developer announcement evidence. Realization is a public Earth Engine dataset. Provisional pending independent accuracy audits.","methodology_version_id":"d7881163-fb23-4e71-8625-bac1a8662c0f","original_methodology_version_id":"d7881163-fb23-4e71-8625-bac1a8662c0f","published_at":"2025-07-30T00:00:00.000Z","created_at":"2026-09-13T20:47:20.075Z","updated_at":"2026-09-13T20:47:20.075Z","flags":[],"domain_name":"Climate & Environment","domain_slug":"climate-environment","methodology_version":"0.1"},"contributions":[{"id":"a312fe83-2c18-4651-afac-ca6ba8ecf7f7","event_id":"4956c574-06ff-4faf-afa3-6ece3260a0ba","model_id":"d51db005-59d1-4003-a2bc-9954b57228e6","role_description":"Produced satellite embeddings released in Earth Engine.","attribution_multiplier":"0.7500","credit_share":"0.9000","contribution_score":"0.164500","attribution_rationale":"The embedding model is the product; partners applied it to mapping tasks.","attribution_confidence":"medium","first_used_date":"2025-07-30T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-13T20:47:20.075Z","model_slug":"alphaearth-foundations","model_name":"AlphaEarth Foundations","identity_class":"named_release","is_internal":false,"family_name":"AlphaEarth","family_slug":"google-deepmind-alphaearth","organization_name":"Google DeepMind","organization_slug":"google-deepmind"}],"sources":[{"id":"a2ab599b-fa63-4ea2-aee8-85d6b8332df8","event_id":"4956c574-06ff-4faf-afa3-6ece3260a0ba","url":"https://deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/","canonical_url":"https://deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/","source_type":"developer_announcement","publisher":"Google DeepMind","author":null,"publication_date":"2025-07-30T00:00:00.000Z","retrieved_at":"2026-09-13T20:47:20.075Z","title":"AlphaEarth Foundations helps map our planet in unprecedented detail","excerpt":null,"content_hash":null,"source_reliability_class":"low","is_primary_source":true,"is_independent":false,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-13T20:47:20.075Z"}],"claims":[{"id":"aad117b7-b280-44ba-a38b-caf470294b43","event_id":"4956c574-06ff-4faf-afa3-6ece3260a0ba","claim_text":"AlphaEarth annual embeddings were released in Google Earth Engine for global land and coastal mapping.","claim_type":"outcome","claim_status":"supported","confidence_score":null,"created_at":"2026-09-13T20:47:20.075Z","updated_at":"2026-09-13T20:47:20.075Z"}],"revisions":[{"id":"91404063-1308-4f59-a342-be05e4fa15fc","event_id":"4956c574-06ff-4faf-afa3-6ece3260a0ba","model_id":null,"previous_score":"0.000000","new_score":"0.164500","previous_factors":{},"new_factors":{"evidence":0.25,"base_score":3,"durability":0.5,"attribution":0.75,"realization":0.65},"change_reason":"Initial adjudicated seed score under methodology 0.1.","trigger_type":"seed","trigger_source_ids":null,"reviewer_id":null,"review_status":"published","created_at":"2026-09-13T20:47:20.075Z"}],"secondary":[{"name":"Computer Science","slug":"computer-science"}]},"methodology_version":"0.1"}