This repository based on forked original GMTSAR and extended by my patches to binary tools and Python library PyGMTSAR. I commit my changes to binary tools to GMTSAR upstream and so it's possible to use the original GMTSAR master branch installation plus PyGMTSAR Python package via PIP. The project documentation including installation instructions available by the link: https://mobigroup.github.io/gmtsar/
The goal of the project is easy and fast satellite interferometry (InSAR) processing for Sentinel-1 radar scenes everywhere as on localhost as on cloud environments like to Google Cloud VM and AI Notebooks and Amazon EC2 and on free of charge cloud environment Google Colab and in Docker images. GMTSAR binary command line tools are used under the hood but all GMTSAR scripts and GMT command replaced by Python code using modern and robust algorithms.
See Docker basic image for merged subswaths and cropped scenes and SBAS time series processing on DockerHub PyGMTSAR for Everyone This image is the right choice to start and perform lots of common interferometry tasks.
See Docker images for multiple stitched scenes and long SBAS time series processing on DockerHub PyGMTSAR for Experts
The notebooks are interactive examples available directly in your web browser. All the steps automated including the software installation on Google Colab cloud host and downloading of Sentinel-1 orbit files, SRTM DEM (and its conversion to ellispoidal heights using EGM96 model), a landmask (to mask low-coherence water surfaces), Sentinel-1 SLC scenes from Alaska Satellite Facility (ASF) datastore and, of course, the complete interferometry processing and the results mapping.
The notebooks processing more than a single subswath or scene. It's possible on Google Colab limited resources using prepared datasets produced by PyGMTSAR "backup" command described in the notebooks.
See a separate GitHub repository for Yamchi Dam area dynamic model YamchiDam Software tools PyGMTSAR N-Cube ParaView plugin for 3D/4D GIS Data Visualization combined together for the 4D analysis and visualization:
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Documentation: https://github.com/mobigroup/gmtsar
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Issue tracker: https://github.com/mobigroup/gmtsar/issues
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Source code: https://github.com/mobigroup/gmtsar
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Docker Images: https://hub.docker.com/repository/docker/mobigroup/pygmtsar
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PyPI Python library: https://pypi.org/project/pygmtsar/
I have STEM master's degree in radio physics and in 2004 I was awarded first prize of the All-Russian Physics competition for significant results in Inverse modeling for non-linear optics and holography, also applicable for Inverse Modeling of Gravity, Magnetic, and Thermal fields. To create laser-induced holograms in non-linear optical composites I worked on interferograms numerical modeling and development of satellite interferometry processing software is very close task and so I build PyGMTSAR. Also, that's the related to inverse modeling of potensial fields like to gravity and I build Geomed3D geophisical modeling software too. In addition to my fundamental science knowledge, I’m world class data scientist and software developer with 20 years experience in science and industrial development. I have worked on government contracts and universities projects and on projects for LG Corp, Google Inc, etc. You are able to find some of my software and results on LinkedIn and GitHub and Upwork, see the links below. By the way, I left Russia many years ago and I work remotely for about 20 years.
To order some research, development and support see my profile on freelance platform Upwork And of cource you are able to use my Open Source software for you scientific research and geological exploration projects and beyond.
Geological models on YouTube channel
Augmented Reality (AR) Geological Models
English posts and articles on LinkedIn
@ Alexey Pechnikov, 2022