NAME

       mintpy-mask - Mask file.

DESCRIPTION

       usage: mask.py [-h] -m MASK_FILE [-o OUTFILE] [-t THRESHOLD]

              [--fill FILL_VALUE] [-x SUBSET_X SUBSET_X] [-y SUBSET_Y SUBSET_Y] file

       Mask file

   positional arguments:
       file   File to be masked

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

       -m MASK_FILE, --mask MASK_FILE
              mask for pixels used in ramp estimation

       -o OUTFILE, --outfile OUTFILE
              Output file name.

       -t THRESHOLD
              threshold  value  used  for masking.  if not specified, only pixels with mask value
              equal to zero is masked out.

       --fill FILL_VALUE
              fill masked out area with input value. i.e.  np.nan (default),  0,  1000,  ...   If
              np.nan  and  input  data  matrix  is not float/complex, convert matrix data type to
              np.float32.

       -x SUBSET_X SUBSET_X
              subset range in x/cross-track/column direction

       -y SUBSET_Y SUBSET_Y
              subset range in y/along-track/row direction

   example:
       mask.py
              velocity.h5     -m Mask.h5

       mask.py
              timeseries.h5   -m temporalCoherence.h5  -t 0.7

       mask.py
              ifgramStack.h5  -m 100102_101120.cor     -t 0.9  -y  200 300  -x 300 400

       mask.py
              filt_20060924_20090214.int -m waterMask.h5 -o filt_20060924_20090214_msk.int

       mask.py
              filt_20060924_20090214.cor -m waterMask.h5 -o filt_20060924_20090214_msk.cor