PyGMTSAR is a Python library for Sentinel-1 satellite interferometry, designed for both novice and expert users. It automates the entire InSAR processing workflow, from data acquisition to time-series analysis and 3D visualization, enabling reproducible and high-performance analysis on various platforms, including Google Colab and local machines.

How It Works

PyGMTSAR leverages a Python-based workflow to automate InSAR processing. It automatically downloads necessary data like Sentinel-1 SLC scenes, DEMs, and orbits. The library handles interferogram generation, correlation estimation, and time-series analysis (supporting SBAS, PSI, and PSI-SBAS methods). Its advantage lies in its comprehensive automation and accessibility, allowing users to build complete InSAR projects with minimal manual intervention, even on standard hardware.

Quick Start & Requirements

• Install: pip install pygmtsar
• Prerequisites: Python 3.10+ (recommended), Google Colab environment (Ubuntu 22, Python 3.10) for live examples.
• Resources: Processing can be done on commodity hardware or cloud platforms like Google Colab.
• Links: PyGMTSAR Introduction Preview, DockerHub, Patreon for additional projects and e-books.

Highlighted Details

• Supports multiple InSAR techniques: SBAS, PSI, PSI-SBAS.
• Automated download of Sentinel-1 SLCs, DEMs, and orbits.
• Includes interactive 3D visualization for results.
• Offers an AI Assistant for guidance and troubleshooting.

Maintenance & Community

The project is actively maintained by Alexey Pechnikov. Additional resources, video lessons, and advanced projects are available via Patreon.

Licensing & Compatibility

The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project's licensing is not clearly defined in the README, which may impact commercial adoption. While designed for accessibility, complex or large-scale projects might still require significant computational resources or cloud services.