Please test the SBAS_snap2stamps

Microwave Toolbox
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I have processed 56 Sentinel 1 data with sbas_snap2stamps and it worked fine, but there are some things to note:

  1. This is different from snap2stamps which separate slave and master SLC data folders, sbas_snap2stamp combines master and slave file folders.

  2. in the configure file, the AOI clip area must be filled in properly, the size must not be more than AOI BBOX DEFINITION.

  3. The order of work:

  • splitting_master_free
  • splitting_slave_free
  • sbas_topsar_coreg
  • sbas_topsar_ifg
  • sbas_export

check the baseline with plotbaseline.py, if something is not connected, you can add it to the sbas_add file, then run sbas_topsar_ifg by taking longer temp_baseline on the configure file.

  1. When setting mt_prep_snap rg_patch and az_ptch, for example:
    mt_prep_snap 20150119 / min / g / process / stamps / bandung_basin / 149_615 / SBAS / INSAR_20150119 / SMALL_BASELINES / 20141108_20151103 / 0.6 5 5 50 200

    this is because all data can be stored and processed.

  2. This is most important, if the stamps are downloaded from https://github.com/dbekaert/StaMPS/ when the sb_parm_initial command is activated or small_baseline_flag: ‘y’ in stamps (1), stamps step 1 will occur an error.

download and replace the sb_load_initial_gamma.m file from https://github.com/limingjia92/StaMPS/blob/patch-2/matlab/sb_load_initial_gamma.m from the matlab folder.

conf
conf671×688 15.5 KB

configure file

sbas_bb_149_613
sbas result

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and I already process with ps insar
ps_bb_149_613
ps result

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