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MINTPY(1) User Commands MINTPY(1)

mintpy - The Miami INsar Time-series software in PYthon

usage: mintpy [-h] [--version] ...

Command line interface for MintPy. The Miami INsar Time-series software in PYthon (MintPy as /mint pai/) is an open-source package for Interferometric Synthetic Aperture Radar (InSAR) time series analysis. It reads the stack of interferograms (coregistered and unwrapped) in ISCE, ARIA, FRInGE, HyP3, GMTSAR, SNAP, GAMMA or ROI_PAC format, and produces three dimensional (2D in space and 1D in time) ground surface displacement in line-of-sight direction. It includes a routine time series analysis (`smallbaselineApp.py`) and some independent toolbox. This is research code provided to you "as is" with NO WARRANTIES OF CORRECTNESS. Use at your own risk.

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Routine Time Series Analysis for Small Baseline InSAR Stack
Project Asc and Desc LOS displacement to Horizontal and Vertical direction
Resample radar-coded files into geo-coordinates or vice versa
Invert network of interferograms into time-series.
Mask file
Modify the network of interferograms
Multilook the input file
Change reference date of timeseries.
Reference to the same pixel in space.
Calculate average in space
Spatial filtering of 2D image.
Calculate temporal average (stacking) of multitemporal datasets
Calculate the temporal derivative of time-series.
Smoothing timeseries in time domain with a moving filter
Calculate Root Mean Square (RMS) of deramped residual phase time-series.
Estimate velocity / time functions from time-series.
Generate the sum of multiple input files.
Generate the difference of two input files.
Basic Mathmatic Operation of file
Stitch/mosaic multiple geocoded datasets into one.
Generate a subset from file/dataset
Phase non-closure related biases correction
DEM Error (Topographic Residual) Correction
Calculate ionospheric ramps using Global Iono Maps from GNSS-based TEC products.
Local Oscilator Drift (LOD) correction of Envisat
Remove 2D ramp(s) from the input file.
Sentinel-1 A/B range bias correction
Solid Earth tides (SET) correction via PySolid
Tropospheric correction using GACOS (http://www.gacos.net) delays
Correct Topo-correlated Stratified tropospheric delay
Tropospheric correction using weather models via PyAPS
Unwrapping Error Correction with Bridging
Unwrapping Error Correction based on Phase Closure
Prepare DEM from GSI (Japan) DEHM grib files.
Generate mask file from input file
Convert lookup table from geo-coord (GAMMA, ROI_PAC) into radar-coord (ISCE)
Prepare ARIA processed products for MintPy.
Prepare attributes file for COSI-Corr pixel offset product.
Prepare FRInGE products for MintPy
Prepare attributes file for Gamma product.
Prepare GMTSAR metadata files.
Prepare attributes file for HyP3 InSAR product.
Prepare ISCE metadata files.
Prepare attributes file for ROI_PAC products.
Prepare attributes file for SNAP products.
Load stacks of interferograms to HDF5 files
Load GBIS inversion result to HDF5 format.
Remove an existing dataset from HDF5 file
Convert MintPy product to GBIS .mat format.
Generate GDAL raster from MintPy h5 file.
Export geocoded file to GMT grd file
Convert MintPy timeseries product into HDF-EOS5 format
Generate KITE (https://github.com/pyrocko/kite) npz and yaml from MintPy HDF5 file.
Generare Google Earth KMZ file for time-series file.
Generate Google Earth KMZ file (overlay / placemarks for files in geo / radar coordinates).
Convert to QGIS compatible ps time-series
Convert MintPy HDF5 file to ROI_PAC format.
Display Metadata / Structure information of ANY File
Plot the coherence matrix of one pixel (interactive)
Display Network of Interferograms
Generate transect/profile along a line
Interactive time-series viewer
Plot InSAR Product in 2D
August 2022 mintpy v1.4.0