SAR / InSAR Processing Workflow

This repository contains some code and notes to facilitate the SAR and InSAR processing using ISCE2 and MintPy.

This is research code provided to you "as is" with NO WARRANTIES OF CORRECTNESS. Use at your own risk.

1. Installation

2. ISCE2 stack processing with run_isce_stack.py

This script implements the process outlined in the readme files of ISCE-2 topsStack and stripmapStack, so that one could run the entire stack processing in one line. Inside the script, it:

1. Downloads the DEM;
2. Call stackSentinel.py or stackStripMap.py to (download the orbit files for S1), generate the configuration and run files;
3. Submit the run files one by one using run.py (with multiple processes if asked for).

The processing parameters are controlled via a configuration file, similar to MintPy's smallbaselineApp.cfg, for easy reproduction and modification. Run run_isce_stack.py -h for the detailed usage and example.

Below is what I run to get a typical small baseline InSAR processing:

1. run ssara_federated_query.py from SSARA to download S1 data from ASF into the "SLC" folder.
   • Use parallel downloading via --parallel option
2. run run_isce_stack.py to generate the stack of interferograms.
   • create a configuration file using the template example from run_isce_stack.py -h, e.g. AtacamaSenAT120.txt
   • run run_isce_isce.py AtacamaSenAT120.txt to download DEM and orbit data, and prepare run files
   • run run_isce_isce.py AtacamaSenAT120.txt --start 1 to execute the run files
3. run smallbaselineApp.py from MintPy to generate the time-series.

Notes:

• Tested for Sentinel-1 and ALOS/ALOS2 stripmap, NOT tested for other sensors/modes yet.
• It's recommended to use the same bounding box for both SSARA and topsStack to avoid potential discrepancies between the downloaded S1 data and the needed S1 data.