Do you have to use topsar split/subswaths when looking at coherence?

Microwave Toolbox Interferometry
2

if you only want coherence rasters, you are good with

  1. TOPS Split
  2. Apply Orbit File
  3. BackGeocoding
  4. Enhanced Spectral Diversity (only if you select multiple bursts in step 1)
  5. Coherence estimation
  6. Deburst
  7. Terrain Correction

There is currently no automated way to select bursts based on an AOI in SNAP, but one has been implemented in the Snap2stamps package: a free tool to automate the SNAP-StaMPS Workflow which takes corner coordinates of an AOI to select bursts (you can check the GitHub code to see how it is done in Python). It is generally advisable to put TOPS Split at the beginning, because you can reduce the amount of data by selecting VV polarization only (VH coherence is mostly lower) and also remove areas which are of no interest.

A different approach to find the correct bursts is presented here: Python S1-TOPS-SPLIT Analyzer It’s also based on python so you might take some parts of the code which are helpful in your case.

1 Like