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Satlas
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Satlas Verified Tool

Satlas is a free Allen Institute for AI map and data portal for exploring monthly AI-generated geospatial information from satellite imagery.

Last Update: August 19, 2026

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Starting price Free

Tool Information

Satlas processes public Sentinel-2 imagery to map marine infrastructure, onshore and offshore renewable energy, tree cover, and selected super-resolution views. Users can search locations, compare dates, view timelapses, inspect annotations, and download monthly GeoJSON or GeoTIFF datasets for offline research.

The map, datasets, training data, model weights, and code are publicly available without a paid subscription. Generated geospatial products are released under the ODC-BY license, while users must check the separate licenses and attribution rules for imagery, models, and downstream datasets.

Satellite and AI data can contain clouds, missing passes, outdated scenes, false detections, and invented super-resolution details. Satlas should not be the sole source for emergency response, navigation, property boundaries, environmental enforcement, military decisions, or any high-stakes conclusion without independent ground truth.

F.A.Q (13)

Satlas is a free AI-generated geospatial map and dataset platform maintained by the Allen Institute for AI.

Yes. The map data models and training resources are publicly available without a subscription.

It primarily processes public Sentinel-2 imagery from the European Space Agency.

Current products include renewable energy marine infrastructure tree cover and selected super-resolution imagery.

Many geospatial products are generated as monthly maps starting from January 2016.

Yes. Product data is available in GeoJSON or GeoTIFF formats for offline analysis.

The generated geospatial products are released under ODC-BY with attribution requirements.

Accuracy varies by product continent imagery quality season and cloud cover and is documented in a validation report.

It is AI-generated higher-detail imagery inferred from sequences of lower-resolution Sentinel-2 scenes.

No. It is a model output and can contain details that do not match reality.

No. Important scientific legal or operational findings need independent ground truth.

It supports environmental scientists geospatial researchers journalists educators and public-interest organizations.

This listing refers specifically to the Allen Institute for AI project at the tool.allen.ai.

Pros and Cons

Pros

  • Completely free
  • Global geospatial map
  • Monthly data products
  • Sentinel-2 source imagery
  • Marine infrastructure detection
  • Offshore platform detection
  • Wind turbine detection
  • Solar farm detection
  • Tree-cover mapping
  • Change-over-time views
  • Side-by-side comparison
  • Timelapse exploration
  • GeoJSON downloads
  • GeoTIFF downloads
  • Open data license
  • Open model weights
  • Open training data
  • Open-source code
  • Validation report

Cons

  • AI detections can be wrong
  • Satellite coverage has gaps
  • Clouds degrade observations
  • Sentinel-2 resolution is limited
  • Super-resolution can invent detail
  • Some products have limited date coverage
  • Not real-time
  • Not a cadastral map
  • No emergency guarantee
  • Ground truth is still required
  • Licenses require review
  • Large downloads need geospatial skills
  • Geographic performance varies

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