Project Overview

sarpyx is a Python SAR processing toolkit with CLI workflows for decoding, focusing, SNAP-based processing, tiling, and scientific metrics.

Problem Statement

The repository addresses repeatable processing of large SAR products across multiple missions while preserving metadata and providing automation-friendly CLI and Python APIs.

Target Audience

• Remote-sensing engineers building SAR preprocessing pipelines.
• Researchers running sub-look analysis and derived metrics.
• Platform engineers operating SNAP-backed processing in containers.

Key Features

• SNAP GPT integration with configurable graphs and operator chaining.
• Sub-aperture decomposition for squint-angle diversity and motion sensitivity.
• Parallel tiling and batch processing for large product volumes.
• Geocoded outputs ready for GIS and downstream ML.
• Extensible architecture compatible with `rasterio`, `geopandas`, and `pyproj`.

High-Level Architecture Summary

The package is split into `cli`, `processor`, `snapflow`, `sla`, `science`, and `utils` namespaces. The CLI layer orchestrates decode/focus/tiling flows, while core modules process arrays and persist results (for example to Zarr). SNAP integration wraps GPT command execution for mission-specific pipelines.

Module Distribution