NAME

       mintpy-timeseries_rms  -  Calculate  Root  Mean  Square  (RMS)  of deramped residual phase
       time-series.

DESCRIPTION

       usage: timeseries_rms.py [-h] [-t TEMPLATE_FILE] [-m MASKFILE] [-r DERAMP]

       [--cutoff CUTOFF] [--figsize WID LEN]
              [--tick-year-num TICK_YEAR_NUM] timeseries_file

       Calculate Root Mean Square (RMS) of deramped residual phase time-series.

   positional arguments:
       timeseries_file
              Timeseries file

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

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

       -m MASKFILE, --mask MASKFILE
              mask file for estimation

       -r DERAMP, --ramp DERAMP, --deramp DERAMP
              ramp type to be remove for RMS calculation.  Default  -  quadratic;  no  -  do  not
              remove ramp

       --cutoff CUTOFF
              M-score used for outlier detection based on standardised residuals Recommend range:
              [3, 4], default is 3.

       --figsize WID LEN
              figure size in inches - width and length

       --tick-year-num TICK_YEAR_NUM
              Year number per major tick

   template options:
              ## Calculate the Root Mean Square (RMS) of  residual  phase  time-series  for  each
              acquisition  ##  reference: Yunjun et al. (2019, section 4.9 and 5.4) ## To get rid
              of long wavelength component in space, a ramp is removed for  each  acquisition  ##
              Set  optimal reference date to date with min RMS ## Set exclude dates (outliers) to
              dates  with   RMS   >   cutoff   *   median   RMS   (Median   Absolute   Deviation)
              mintpy.residualRMS.maskFile  =  auto   #[file  name / no], auto for maskTempCoh.h5,
              mask for ramp estimation mintpy.residualRMS.deramp   = auto  #[quadratic / linear /
              no], auto for quadratic mintpy.residualRMS.cutoff   = auto  #[0.0-inf], auto for 3

   example:
       timeseries_rms.py
              timeseriesResidual.h5

       timeseries_rms.py
              timeseriesResidual.h5  --template smallbaselineApp.cfg

       timeseries_rms.py
              timeseriesResidual.h5  -m maskTempCoh.h5  --cutoff 3