Fabric: An Open Source foundation for satellite data transformation

What is Fabric?

Working with satellite data should mean answering questions about the Earth—detecting wildfires, tracking floods, monitoring change over time. Instead, most teams spend the bulk of their time on data plumbing: converting formats, aligning projections, normalizing band names, and writing one-off scripts that break the moment you switch data sources.

Fabric eliminates that overhead. It's a geospatial harmonization platform that transforms raw satellite and sensor data into analysis-ready formats automatically. Point it at Sentinel, Landsat, or commercial imagery—Fabric handles the wrangling so you can focus on the science.

The platform uses reusable transformation patterns: recipes that encode best practices for specific use cases like fire detection, flood monitoring, or vegetation analysis. Define a pattern once, apply it anywhere.

Guides

Step-by-step implementation walkthroughs

Patterns

GIS pattern library for satellite data

Tutorials

Video walkthroughs and demos

Community

Forks, extensions, and integrations

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Featured Patterns

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