/MintPy-tutorial

Tutorials in Jupyter Notebook for MintPy

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

MintPy-tutorial

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

Contents (nbviewer)

  1. Small baseline time series analysis with smallbaselineApp. This notebook walks through the various processing steps of InSAR time series analysis using MintPy.

    • ISCE/topsStack + MintPy (Sentinel-1 on Fernandina, Galápagos): nbviewer
    • ARIA + MintPy (Sentinel-1 on San Francisco): nbviewer
  2. Visualizations

  3. Read / write data files

    • Read GMT *.grd file: nbviewer
    • Read / save time-series HDF5 file into text file: nbviewer
    • Read / plot displacement time-series of one pixel: nbviewer
    • Read HDF5 files in Matlab: m file
  4. Custom applications. List of examples of how to build customized application using mintpy modules or to build processing recipe using mintpy scripts.

    • Calculate multilook number for InSAR processing with ISCE: nbviewer
    • Create water mask in radar coordinates: nbviewer
    • Tropospheric delay correction using GACOS products: 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

Useful links from external repositories

  1. Single interferogram processing with ISCE2

  2. Stack of interferograms processing with ISCE2 stack processors

  3. Manipulate ARIA standard InSAR products with ARIA-tools