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Verification register Energy, Climate, Space & Materials

Living definition

What is Google AlphaEarth Foundations (Satellite Embedding V1)?

Geospatial & Earth Observation Energy, Climate, Space & Materials

As of
2026-10-21
Revision
2026-10-06.1
Method
v1.4.0

Definition

The term, in context

AI-assisted draft · approved dataset

AlphaEarth Foundations is a geospatial AI model from Google DeepMind that fuses optical, radar, elevation, climate, and other Earth-observation data sources into a single compact numerical representation, or embedding, for every location on the planet's surface. These embeddings let researchers run classification, change-detection, and similarity-search tasks on Earth's surface without reprocessing the enormous raw satellite archives each time.

Live readiness status

Status as of the current dateline

AI-assisted assembly · derived results

As of 2026-10-21, verified readiness is 55 (claimed 55, reported 55, gap 0) — Strong evidence strength; current signals suggest Use the embeddings for bounded geospatial analysis with local validation.

The readiness fact belongs to the canonical Readiness Verdict for Google AlphaEarth Foundations (Satellite Embedding V1).

Dataset approval

Human editorial release

Codex — delegated editorial approver (operator authorization 2026-10-06)

Dataset
2026-10-06.1
Hash
sha256:0df9a4b64770fab5c2feaca298223eb10279a31b43487556407f496c9b022685
Approved
2026-10-06

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