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MINTPY-PREP_ARIA(1) User Commands MINTPY-PREP_ARIA(1)

NAME

mintpy-prep_aria - Prepare ARIA processed products for MintPy.

DESCRIPTION

usage: prep_aria.py [-h] [-t TEMPLATE_FILE] [-o OUTFILE OUTFILE] [--update]

[--compression {gzip,None,lzf}] [-s STACKDIR] [-u UNWFILE]
[-c CORFILE] [-l CONNCOMPFILE] [--amp-stack-name MAGFILE] [-d DEMFILE] [-i INCANGLEFILE] [-a AZANGLEFILE] [-w WATERMASKFILE]

Prepare ARIA processed products for MintPy.

options:

show this help message and exit
template file with the options
output HDF5 file
Enable the update mode: checking dataset already loaded.
HDF5 file compression, default: None

interferogram stack:

The directory which contains stack VRT files.
Name of the stack VRT file of unwrapped data. default: unwrapStack.vrt
Name of the stack VRT file of coherence data. default: cohStack.vrt
Name of the stack VRT file of connected component data. default: connCompStack.vrt
Name of the stack VRT file of interferogram amplitude data (optional). default: ampStack.vrt

geometry:

Name of the DEM file
Name of the incidence angle file
Name of the azimuth angle file.
Name of the water mask file

template options:

########## 1. load_data ## no - save 0% disk usage, fast [default] ## lzf - save ~57% disk usage, relative slow ## gzip - save ~62% disk usage, very slow [not recommend] mintpy.load.processor = aria #[isce, aria, snap, gamma, roipac], auto for isce mintpy.load.updateMode = auto #[yes / no], auto for yes, skip re-loading if HDF5 files are complete mintpy.load.compression = auto #[gzip / lzf / no], auto for no. ##---------interferogram datasets: mintpy.load.unwFile = ../stack/unwrapStack.vrt mintpy.load.corFile = ../stack/cohStack.vrt mintpy.load.connCompFile = ../stack/connCompStack.vrt mintpy.load.magFile = ../stack/ampStack.vrt # optional ##---------geometry datasets: mintpy.load.demFile = ../DEM/SRTM_3arcsec.dem mintpy.load.incAngleFile = ../incidenceAngle/*.vrt mintpy.load.azAngleFile = ../azimuthAngle/*.vrt mintpy.load.waterMaskFile = ../mask/watermask.msk ##---------multilook (optional): ## multilook while loading data with nearest interpolation, to reduce dataset size mintpy.load.ystep = auto #[int >= 1], auto for 1 - no multilooking mintpy.load.xstep = auto #[int >= 1], auto for 1 - no multilooking ##---------subset (optional): ## if both yx and lalo are specified, use lalo option mintpy.subset.yx = auto #[y0:y1,x0:x1 / no], auto for no mintpy.subset.lalo = auto #[lat0:lat1,lon0:lon1 / no], auto for no

example:

# recommended
prep_aria.py -t SanFranSenDT42.txt prep_aria.py -s ../stack/ -d ../DEM/SRTM_3arcsec.dem -i ../incidenceAngle/*.vrt prep_aria.py -s ../stack/ -d ../DEM/SRTM_3arcsec.dem -i ../incidenceAngle/*.vrt -a ../azimuthAngle/*.vrt -w ../mask/watermask.msk
# download / extract / prepare inteferograms stack from ARIA using ARIA-tools: # reference: https://github.com/aria-tools/ARIA-tools ariaDownload.py -b '37.25 38.1 -122.6 -121.75' --track 42 ariaTSsetup.py -f 'products/*.nc' -b '37.25 38.1 -122.6 -121.75' --mask Download --num_threads 4 --verbose
May 2022 mintpy-prep_aria v1.3.3