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Google Geospatial Reasoning

Google Research Geospatial Reasoning: framework combining Gemini with geospatial foundation models (remote sensing, population dynamics, mobility) and Earth Engine/BigQuery data for multi-step geospatial analysis agents.

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What's in it

Data offered docs-verified
remote sensing foundation model embeddings for images and objects · fine-tunable remote sensing tasks: building and road mapping, post-disaster damage assessment, infrastructure location · Population Dynamics Foundation Model (PDFM) embeddings (experimental, selected partners) · agentic workflows over Earth Engine, BigQuery, Google Maps Platform and Google Cloud Storage data
Coverage llm-inferred
United States (PDFM embeddings); UK included only in an experimental expansion for selected partners
Access docs-verified
Trusted tester programme (enquiry-based access, not public); licence: Research / trusted tester

Useful for

Use cases llm-inferred
Post-flood or post-storm building damage screening from aerial imagery · Road and building footprint mapping from satellite or aerial imagery for asset or drainage baselines · Adding population-behaviour and environmental context layers to flood-risk prioritisation (experimental UK embeddings)
Audience llm-inferred
GIS analysts · remote sensing analysts · flood risk consultants · data scientists and developers building geospatial agents

Limitations

Constraints docs-verified
Framework still under development · Trusted tester access only; not publicly available · PDFM UK coverage is experimental, for selected partners only · Remote sensing models are for experimentation · Source is an April 2025 blog post; current status unverified
Licence
Research / trusted tester
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Verified 2026-10-15 via curl (HTTP 200).

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Chris sources (Google Research geospatial))