NAME

       mintpy-geocode - Resample radar coded files into geo coordinates, or reverse

DESCRIPTION

       usage: geocode.py [-h] [-d DSET] [-l LOOKUPFILE] [--lat-file LATFILE]

              [--lon-file  LONFILE] [--geo2radar] [-t TEMPLATEFILE] [-b S N W E] [--lalo LAT_STEP
              LON_STEP]  [-i  {nearest,linear}]  [--fill  FILLVALUE]  [-n   NPROCS]   [--software
              {pyresample,scipy}]  [--update]  [-o  OUTFILE] [--outdir OUT_DIR] [--ram MAXMEMORY]
              file [file ...]

       Resample radar coded files into geo coordinates, or reverse

   positional arguments:
       file   File(s) to be geocoded

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

       -d DSET, --dset DSET
              dataset  to   be   geocoded,   for   example:   height                          for
              geometryRadar.h5 unwrapPhase-20100114_20101017 for ifgramStack.h5

       -l LOOKUPFILE, --lookup LOOKUPFILE
              Lookup table file generated by InSAR processors.

       --lat-file LATFILE
              lookup table file for latitude.

       --lon-file LONFILE
              lookup table file for longitude.

       --geo2radar, --geo2rdr
              resample  geocoded  files  into  radar  coordinates.   ONLY  for  lookup  table  in
              radar-coord (ISCE, Doris).

       -t TEMPLATEFILE, --template TEMPLATEFILE
              Template file with geocoding options.

       --update
              skip resampling if output file exists and newer than input file

       -o OUTFILE, --output OUTFILE
              output file name. Default: add prefix 'geo_'

       --outdir OUT_DIR, --output-dir OUT_DIR
              output directory.

       --ram MAXMEMORY, --memory MAXMEMORY
              Max amount of memory in GB  to  use  (default:  4.0).   Adjust  according  to  your
              computer memory.

   grid in geo-coordinates:
       -b S N W E, --bbox S N W E
              Bounding box for the area of interest.  using coordinates of the uppler left corner
              of the first pixel

       and the lower right corner of the last pixel
              for radar2geo, it's the  output  spatial  extent  for  geo2radar,  it's  the  input
              spatial extent

       --lalo LAT_STEP LON_STEP, --lalo-step LAT_STEP LON_STEP
              output  pixel  size  in  degree in latitude / longitude.  degrees     --> meters on
              equator 0.000925926 --> 100 0.000833334 --> 90 0.000555556 --> 60  0.000462963  -->
              50 0.000277778 --> 30 0.000185185 --> 20 0.000092593 --> 10

   interpolation:
       -i {nearest,linear}, --interp {nearest,linear}
              interpolation/resampling method (default: nearest).

       --fill FILLVALUE
              Fill value for extrapolation (default: nan).

       -n NPROCS, --nprocs NPROCS
              number  of  processors  to  be used for calculation (default: 1).  Note: Do not use
              more processes than available processor cores.

       --software {pyresample,scipy}
              software/module used for interpolation (default: pyresample) Note:  --bbox  is  not
              supported for -p scipy

   template options:
              #  for input dataset in radar coordinates only # commonly used resolution in meters
              and  in  degrees  (on  equator)  #  100,          60,            50,            30,
              20,           10 # 0.000925926, 0.000555556, 0.000462963, 0.000277778, 0.000185185,
              0.000092593  mintpy.geocode               =  auto   #[yes  /  no],  auto  for   yes
              mintpy.geocode.SNWE          =  auto   #[-1.2,0.5,-92,-91  / none ], auto for none,
              output     extent     in     degree     mintpy.geocode.laloStep         =      auto
              #[-0.000555556,0.000555556  /  None],  auto  for  None, output resolution in degree
              mintpy.geocode.interpMethod = auto  #[nearest],  auto  for  nearest,  interpolation
              method mintpy.geocode.fillValue    = auto  #[np.nan, 0, ...], auto for np.nan, fill
              value for outliers.

   example:
              geocode.py velocity.h5 geocode.py velocity.h5 -b -0.5 -0.25 -91.3 -91.1  geocode.py
              velocity.h5 timeseries.h5 -t smallbaselineApp.cfg --outdir ./geo --update

              #  geocode  file  using ISCE-2 lat/lon.rdr file geocode.py filt_fine.int --lat-file
              ../../geom_reference/lat.rdr --lon-file ../../geom_reference/lon.rdr

              # radar-code file in geo coordinates  geocode.py  swbdLat_S02_N01_Lon_W092_W090.wbd
              -l   geometryRadar.h5   -o  waterMask.rdr  --geo2radar  geocode.py  geo_velocity.h5
              --geo2radar