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Welcome to EORST

// 2026-03-19 · Updated 2026-05-11 · 3 min read

rust remote-sensing getting-started

Welcome to the EORST blog!

EORST is an open-source Rust library for processing geospatial raster data. Inspired by Python libraries like rasterio and rioxarray, it enables efficient parallel processing of large-scale raster datasets.

New to remote sensing? Start with Getting Started with Geospatial Rust for foundational concepts.

Want a complete workflow? See End-to-End Geospatial Processing with EORST for a code-heavy tutorial.

Benchmarking eorst vs Python+Dask? See Rust vs Python+Dask for NDVI: 23× Faster — real numbers with FMask cloud masking and carbon impact analysis.

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