Open Source PyGMTSAR (Python InSAR) Practicum. Lessons 1—5

Now it’s time to move to a more sophisticated InSAR processor using all the PyGMTSAR features discussed in the previous lessons. There is no separate SBAS or PSI InSAR because these are just two incomplete and simplified approaches to the complete analysis. Robust timeseries unwrapping means more accurate unwrapping vs the common way to use just not overlapping interferogram intervals. Later we will be able to perform stable 3D unwrapping combining the 1D timeseries and 2D SNAPHU unwrapping.

PyGMTSAR (Python InSAR) Practicum Lessons:
1. Phase and Cross-Correlation, Small Baseline Subset (SBAS)
2. Speckle Noise (Gaussian) Filter and Multi-Looking
3. Corner Reflectors, Persistent Scatterers (PS), PS-SBAS
4. Goldstein Phase Filter, Multi-Looking Output Resolution
5. 1D Robust Phase Unwrapping on SBAS Pairs

See all the lessons on the YouTube channel: https://www.youtube.com/channel/UCSEeXKAn9f_bDiTjT6l87Lg and on Patreon, accompanied by the example notebooks: https://www.patreon.com/pechnikov
My Open Source PyGMTSAR Python InSAR processor is accessible on GitHub: https://github.com/mobigroup/gmtsar