MintPy-tutorials contains the documentations for the MintPy repo, mainly in Jupyter Notebook.

This notebook walks through the various processing steps of InSAR time series analysis using MintPy.

• ARIA + MintPy (Sentinel-1 on San Francisco Bay, California): nbviewer
  • UNAVCO short course recordings on YouTube: 2019, 2020, 2021, 2022

• Interactive time-series with tsview
• Interactive coherence matrix with plot_coherence_matrix
• Interactive transection with plot_transection
• Google Earth doc

• Read HDF5 file in Matlab or Python.
• Save HDF5 file into text file: nbviewer
• Read / plot displacement time-series of one pixel: nbviewer
• Read GMT *.grd file: nbviewer

List of examples of how to build customized application using mintpy modules or to build processing recipe using mintpy scripts.

• Create water mask in radar coordinates: nbviewer
• Prepare UAVSAR geometry files with multi-segments for MintPy processing: nbviewer
• Calculate multilook number for InSAR processing with ISCE: nbviewer
• Post-processing of single interferogram after ISCE/stripmapApp: nbviewer
• Geo / radar coordinates conversion: nbviewer
• Plot GPS as quiver on top of InSAR data: nbviewer
• Average velocity estimation demonstration: nbviewer
• Coherence Change Detection: nbviewer
• Mask / estimate / correct phase non-closure related bias: nbviewer

• Sentinel-1 TOPS mode SAR data with topsApp [video]
• StripMap mode SAR data with stripmapApp [video]

• Sentinel-1 TOPS mode SAR data with topsStack
• StripMap mode SAR data with stripmapStack
• ALOS-2 ScanSAR and StripMap mode data with alosStack

• Downloading GUNW products using ariaDownload
• Preparing GUNW products for time series analysis using ariaTSsetup