Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
| Date | Stars |
|---|---|
| 2026-07-24 | 593 |
| 2026-07-25 | 593 |
| 2026-07-28 | 593 |
| 2026-07-30 | 593 |
| 2026-08-06 | 593 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
[](https://github.com/AlexeyPechnikov/pygmtsar) [](https://pypi.python.org/pypi/pygmtsar/) [](https://hub.docker.com/r/pechnikov/pygmtsar) [](https://zenodo.org/badge/latestdoi/398018212) [](https://www.patreon.com/pechnikov) ## Announcement: InSAR.dev—A Federated Python Ecosystem for SAR/InSAR [InSAR.dev](https://InSAR.dev), the successor to PyGMTSAR, is a pure Python NISAR/Sentinel-1 framework that uses the modern Zarr version 3 data storage format, avoiding the NetCDF-related issues affecting PyGMTSAR. Whereas PyGMTSAR processes single-polarization scenes and bursts along one orbital path, InSAR.dev separates the workflow into two phases: preparing SLC data, including geocoding, flat-earth and topographic correction, and packaging into cloud-ready bursts; and then performing the core interferometric analysis on those datasets. This design scales to thousands of bursts across multiple polarizations and orbital paths. ## PyGMTSAR (Python InSAR): Powerful, Accessible Satellite Interferometry <img src="assets/logo.jpg" width="15%" /> PyGMTSAR (Python InSAR) is designed for both occasional users and experts working with Sentinel-1 satellite interferometry. It supports a wide range of features, including SBAS, PSI, PSI-SBAS, and more. In addition to the examples below, you’ll find more Jupyter notebook use cases on [Patreon](https://www.patreon.com/pechnikov) and updates on [LinkedIn](https://www.linkedin.com/in/alexey-pechnikov/). ## About PyGMTSAR PyGMTSAR offers reproducible, high-performance Sentinel-1 interferometry accessible to everyone—whether you prefer Google Colab, cloud servers, or local processing. It automatically retrieves Sentinel-1 SLC scenes and bursts, DEMs, and orbits; computes interferograms and correlations; performs time-series analysis; and provides 3D visualization. This single library enables users to build a fully integrated InSAR project with minimal hassle. Whether you need a single interferogram or a multi-year analysis involving thousands of datasets, PyGMTSAR can handle the task efficiently, even on standard commodity hardware. ## PyGMTSAR Live Examples on Google Colab Google Colab is a free service that lets you run interactive notebooks directly in your browser—no powerful computer, extensive disk space, or special installations needed. You can even do InSAR processing from a smartphone. These notebooks automate every step: installing PyGMTSAR library and its dependencies on a Colab host (Ubuntu 22, Python 3.10), downloading Sentinel-1 SLCs, orbit files, SRTM DEM data (automatically converted to ellipsoidal heights via EGM96), land mask data, and then performing complete interferometry with final mapping. You can also modify scene or bursts names to analyze your own area of interest, and each notebook includes instant interactive 3D maps. [](https://colab.research.google.com/drive/1TARVTB7z8goZyEVDRWyTAKJpyuqZxzW2?usp=sharing) **Central Türkiye Earthquakes (2023).** The area is large, covering two consecutive Sentinel-1 scenes or a total of 56 bursts. <img src="assets/turkie_2023a.jpg" width="40%" /><img src="assets/turkie_2023b.jpg" width="40%" /> [](https://colab.research.google.com/drive/1dDFG8BoF4WfB6tOF5sAi5mjdBKRbhxHo?usp=sharing) **Pico do Fogo Volcano Eruption, Fogo Island, Cape Verde (2014).** The interferogram for this event is compared to the study *The 2014–2015 eruption of Fogo volcano: Geodetic modeling of Sentinel-1 TOPS interferometry* (*Geophysical Research Letters*, DOI: [10.1002/2015GL066003](h
Excerpt of 10,562 characters
Read on GitHub
262
133
43
11
10
6
3
2
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:58519b9e18a42fb3, topic:scientific-computing