---
name: "mintpy"
section: "1"
platform: "linux"
package: "mintpy"
version: "1.6.1-1"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/mintpy"
---

# mintpy(1)

The Miami INsar Time-series software in PYthon

## NAME

mintpy - The Miami INsar Time-series software in PYthon

## DESCRIPTION

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.

### options:

- **-h**, **--help**

  show this help message and exit

- **--version**

  show program's version number and exit

### sub-commands:

- smallbaselineApp

  Routine Time Series Analysis for Small Baseline InSAR Stack

- asc\_desc2horz\_vert

  Project Asc and Desc LOS displacement to Horizontal and Vertical direction

- geocode

  Resample radar-coded files into geo-coordinates or vice versa

- ifgram\_inversion

  Invert network of interferograms into time-series.

- mask

  Mask file

- modify\_network

  Modify the network of interferograms

- multilook

  Multilook the input file

- reference\_date

  Change reference date of timeseries.

- reference\_point

  Reference to the same pixel in space.

- spatial\_average

  Calculate average in space

- spatial\_filter

  Spatial filtering of 2D image.

- temporal\_average

  Calculate temporal average (stacking) of multitemporal datasets

- temporal\_derivative

  Calculate the temporal derivative of time-series.

- temporal\_filter

  Smoothing timeseries in time domain with a moving filter

- timeseries\_rms

  Calculate Root Mean Square (RMS) of deramped residual phase time-series.

- timeseries2velocity

  Estimate velocity / time functions from time-series.

- add

  Generate the sum of multiple input files.

- diff

  Generate the difference of two input files.

- image\_math

  Basic Mathmatic Operation of file

- image\_stitch

  Stitch/mosaic multiple geocoded datasets into one.

- subset

  Generate a subset from file/dataset

- closure\_phase\_bias

  Phase non-closure related biases correction

- dem\_error

  DEM Error (Topographic Residual) Correction

- iono\_tec

  Calculate ionospheric ramps using Global Iono Maps from GNSS-based TEC products.

- local\_oscilator\_drift

  Local Oscilator Drift (LOD) correction of Envisat

- remove\_ramp

  Remove 2D ramp(s) from the input file.

- s1ab\_range\_bias

  Sentinel-1 A/B range bias correction

- solid\_earth\_tides

  Solid Earth tides (SET) correction via PySolid

- tropo\_gacos

  Tropospheric correction using GACOS (http://www.gacos.net) delays

- tropo\_phase\_elevation

  Correct Topo-correlated Stratified tropospheric delay

- tropo\_pyaps3

  Tropospheric correction using weather models via PyAPS

- unwrap\_error\_bridging

  Unwrapping Error Correction with Bridging

- unwrap\_error\_phase\_closure

  Unwrapping Error Correction based on Phase Closure

- dem\_gsi

  Prepare DEM from GSI (Japan) DEHM grib files.

- generate\_mask

  Generate mask file from input file

- lookup\_geo2radar

  Convert lookup table from geo-coord (GAMMA, ROI\_PAC) into radar-coord (ISCE)

- prep\_aria

  Prepare ARIA processed products for MintPy.

- prep\_cosicorr

  Prepare attributes file for COSI-Corr pixel offset product.

- prep\_fringe

  Prepare FRInGE products for MintPy

- prep\_gamma

  Prepare attributes file for Gamma product.

- prep\_gmtsar

  Prepare GMTSAR metadata files.

- prep\_hyp3

  Prepare attributes file for HyP3 InSAR product.

- prep\_isce

  Prepare ISCE metadata files.

- prep\_roipac

  Prepare attributes file for ROI\_PAC products.

- prep\_snap

  Prepare attributes file for SNAP products.

- load\_data

  Load stacks of interferograms to HDF5 files

- load\_gbis

  Load GBIS inversion result to HDF5 format.

- remove\_hdf5\_dataset

  Remove an existing dataset from HDF5 file

- save\_gbis

  Convert MintPy product to GBIS .mat format.

- save\_gdal

  Generate GDAL raster from MintPy h5 file.

- save\_gmt

  Export geocoded file to GMT grd file

- save\_hdfeos5

  Convert MintPy timeseries product into HDF-EOS5 format

- save\_kite

  Generate KITE (https://github.com/pyrocko/kite) npz and yaml from MintPy HDF5 file.

- save\_kmz\_timeseries

  Generare Google Earth KMZ file for time-series file.

- save\_kmz

  Generate Google Earth KMZ file (overlay / placemarks for files in geo / radar coordinates).

- save\_qgis

  Convert to QGIS compatible ps time-series

- save\_roipac

  Convert MintPy HDF5 file to ROI\_PAC format.

- info

  Display Metadata / Structure information of ANY File

- plot\_coherence\_matrix

  Plot the coherence matrix of one pixel (interactive)

- plot\_network

  Display Network of Interferograms

- plot\_transection

  Generate transect/profile along a line

- tsview

  Interactive time-series viewer

- view

  Plot InSAR Product in 2D