MINTPY

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