Provided by: mintpy_1.3.3-2_all bug

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:
       -h, --help
              show this help message and exit

       -t TEMPLATE_FILE, --template TEMPLATE_FILE
              template file with the options

       -o OUTFILE OUTFILE, --output OUTFILE OUTFILE
              output HDF5 file

       --update
              Enable the update mode: checking dataset already loaded.

       --compression {gzip,None,lzf}
              HDF5 file compression, default: None

   interferogram stack:
       -s STACKDIR, --stack-dir STACKDIR
              The directory which contains stack VRT files.

       -u UNWFILE, --unwrap-stack-name UNWFILE
              Name of the stack VRT file of unwrapped data.  default: unwrapStack.vrt

       -c CORFILE, --coherence-stack-name CORFILE
              Name of the stack VRT file of coherence data.  default: cohStack.vrt

       -l CONNCOMPFILE, --conn-comp-stack-name CONNCOMPFILE
              Name of the stack VRT file of connected component data.  default: connCompStack.vrt

       --amp-stack-name MAGFILE, --amplitude-stack-name MAGFILE
              Name of the stack VRT file of interferogram amplitude  data  (optional).   default:
              ampStack.vrt

   geometry:
       -d DEMFILE, --dem DEMFILE
              Name of the DEM file

       -i INCANGLEFILE, --incidence-angle INCANGLEFILE
              Name of the incidence angle file

       -a AZANGLEFILE, --az-angle AZANGLEFILE, --azimuth-angle AZANGLEFILE
              Name of the azimuth angle file.

       -w WATERMASKFILE, --water-mask WATERMASKFILE
              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:
       prep_aria.py -t smallbaselineApp.cfg
              # 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