Satlas

AI annotated satellite imagery that tracks a changing planet

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Screenshot of Satlas, AI annotated satellite imagery that tracks a changing planet

What is Satlas?

Satlas is an image analysis tool. Satlas from Ai2 is an open geospatial platform that combines Sentinel-2 satellite imagery with AI annotations to show monthly changes in marine infrastructure, renewable energy sites and tree cover, plus a super resolution tool for sharper global imagery.

Satlas is an open geospatial platform from Ai2 that publishes monthly, AI annotated satellite data showing how the Earth's surface is changing. Three data themes anchor the project: marine infrastructure (offshore wind turbines and offshore platforms), renewable energy infrastructure (solar farms and onshore wind turbines), and tree cover. Rather than selling imagery, Satlas pairs Sentinel-2 satellite captures with machine learning annotations that identify and label these features, then presents the result as a browsable, time indexed map. The map experience is built around comparison. A date picker lets you set two points in time, and the layout can switch between a single map, a side by side view, or a change over time animation. Layer toggles control which infrastructure types and which tree cover density bands are drawn, and a heatmap mode emphasises concentration. It is the kind of interface that makes a decade of land use change legible in a couple of clicks, which is why the showcase examples lean on stories: the rapid build out of Chinese offshore wind, a new wind farm near Denmark, Amazon deforestation, commercial logging in Washington State, oil platforms in the Gulf of Mexico, the Sinop dam in Brazil, and solar development in Virginia and Brazil. A separate super resolution tool takes low resolution Sentinel-2 captures and runs AI models over them to produce higher resolution imagery at global scale, with before and after examples in places such as Nakuru in Kenya, Sydney, New Orleans and Los Angeles. That is useful when the raw pixel size of Sentinel-2 is too coarse to read built structures. The audience is researchers, journalists, policy analysts, students, and GIS practitioners who need evidence of physical change without building their own detection pipeline. It fits alongside commercial Earth observation platforms and raw imagery services: Satlas gives away the annotations and the exploration layer, and its data is published openly rather than held behind a licence.

How do you use Satlas?

  1. 1Open the map and pick a theme
    Go to the map and choose an application from the theme selector, then turn individual layers on or off to control what gets drawn.
  2. 2Set two dates and compare
    Choose a primary and secondary date, then switch the layout between single map, side by side and change over time to see what moved between the two snapshots.
  3. 3Zoom into a region and enable heatmap
    Pan to an area of interest such as an offshore wind cluster or a deforestation front, and toggle the heatmap to spot where the detected features concentrate.
  4. 4Sharpen a location with super resolution
    Open the super resolution view to compare raw Sentinel-2 against the AI enhanced version of the same coordinates, useful for small structures.
  5. 5Read up on the models and download data
    Visit the AI page to understand how the annotations are produced, and the data page to get the underlying geospatial datasets.

Pros and cons

Pros

  • Open geospatial data rather than a gated commercial archiveAI
  • Time comparison layouts (side by side, single map, animation) make change easy to readAI
  • Layer toggles for offshore wind, offshore platforms, solar, onshore wind and tree cover densityAI
  • Super resolution view sharpens low resolution Sentinel-2 captures for detail workAI
  • Backed by the Allen Institute for AI, with a dedicated data page for the underlying outputsAI

Cons

  • Narrow thematic coverage: infrastructure, energy and tree cover only, with no general land cover or building layersAI
  • Built on Sentinel-2, so anything smaller than the sensor can resolve needs the super resolution layerAI
  • No documented account system, saved projects or export workflow on the public pagesAI
  • Data updates monthly, which rules out near real time monitoringAI
  • No stated support channel beyond the FAQ for troubleshooting or data questionsAI

How much does Satlas cost?

Support

A public FAQ page covers common questions about the platform and its data. No other support channel is described on the site.

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Features

Monthly AI annotated satellite layers for marine infrastructure (offshore wind turbines, offshore platforms), renewable energy (solar farms, onshore wind turbines) and tree cover at four density levels. The map offers date comparison, side by side and animation layouts, heatmap and satellite basemaps. A super resolution tool enhances low resolution Sentinel-2 imagery, and the generated data is published openly.

Learn more

Frequently asked questions about Satlas

  • How do you use Satlas?
    The walkthrough on this page covers 5 steps: 1. Open the map and pick a theme 2. Set two dates and compare 3. Zoom into a region and enable heatmap 4. Sharpen a location with super resolution 5. Read up on the models and download data.
  • What platforms does Satlas support?
    Satlas is available on Web App.
  • What are the limitations of Satlas?
    Narrow thematic coverage: infrastructure, energy and tree cover only, with no general land cover or building layers. Built on Sentinel-2, so anything smaller than the sensor can resolve needs the super resolution layer. No documented account system, saved projects or export workflow on the public pages.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Free