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GAMMA-psdsinsar_scansar

This GAMMA RS script is for IPTA analysis for ScanSAR datasets

Requirements

GAMMA Software Modules:

The GAMMA software is grouped into four main modules:

  • Modular SAR Processor (MSP)
  • Interferometry, Differential Interferometry and Geocoding (ISP/DIFF&GEO)
  • Land Application Tools (LAT)
  • Interferometric Point Target Analysis (IPTA)

The user need to install the GAMMA Remote Sensing software beforehand depending on your OS.

For more information: https://gamma-rs.ch/uploads/media/GAMMA_Software_information.pdf

Process step

Pre-processing: choose one of iws1-3 sub-swaths and must not select multiple swaths

Note: it should be processed orderly from the top (part_XX).

It needs to change the mark "off" to "on" when processing.

  • part_01a="off" # [1-a] iws slc data extraction bf edit
  • part_01b="off" # [1-b] iws slc data extraction af edit
  • part_02="off" # [2] Prepare DEM and geocode reference
  • part_03="off" # [3] coregister data
  • part_04="off" # [4] Deramp the data, oversample the data in range direction, and crop the area of interest
  • part_05="off" # [5] Compute the average image
  • part_06="off" # [6] Prepare DEM, geocode including refinement, produce geocoded average image, prepare height map in RDC coordinates
  • Parts 7 to 10: generation of the combined multi-reference stack ###
  • part_07="off" # [7] Generate multi-look differential interferometric phases
  • part_08="off" # [8] Generate single-pixel (PSI) differential interferometric phases
  • part_09="off" # [9] Combined PSI and multi-look lists and phases into one combined vector data set and generate pmask files documenting the origin of a value (single pixel or multi-look)
  • part_10="off" # [10] Reference point selection
  • Parts 11 to 13: unwrap differential phase, estimate atmospheric phases, calculate height correction and calculate a mask
  • part_11="off" # [11] Determine atmospheric phases using multi-reference stack (using multi_def_pt)
  • part_12a="off" # [12a] Estimate height correction and update atmospheric phases using multi-reference stack
  • part_12b="off" # [12b] Update height corrections and atmospheric phases using multi-reference stack
  • part_12c="off" # [12c] Update height corrections and atmospheric phases using multi-reference stack
  • part_13="off" # [13] Update height corrections and atmospheric phases and estimate a deformation rate
  • part_14="off" # [14] Phases are converted into a deformation time series and atmospheric phases
  • part_15="off" # [15] Some comparisons and considerations
  • part_16="off" # [16] Results

try single look test for higher quality products

  • prep_slt="off" # preparation for single look test
  • part_17="off" # [17] determine new point list (using mkgrid)
  • part_18="off" # [18] import (expand) previous result to new point list
  • part_19="off" # [19] update the solution using def_mod_pt
  • part_19a="off" # [19a] update phgt, patm using def_mod_pt with one-dimensional regression
  • part_19b="off" # [19b] update phgt, patm using def_mod_pt with one-dimensional regression
  • part_19c="off" # [19c] last iteration, don't update terms but just use unwrapped phase
  • part_20="off" # [20] add up unwrapped phase terms to total unwrapped multi-ref DInSAR phase
  • part_21="off" # [21a] Check and improve unwrapping consistency using mb_pt
  • part_22="off" # [22] Using the consistently unwrapped phases we try to correctly unwrap further pixels.
  • part_23="off" # [23] Phase interpretation and generation of time-series
  • part_24="off" # [24] Remove outliers directly based on spatial consistency of average deformation rate
  • part_25="off" # [25] Generation of single-look time-series with noise and temporally filtered
  • part_26="off" # [26] Generation of spatially filtered time-series and related average rates
  • part_27="off" # [27] Preparation and visualization of results