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