2020 InSAR Processing and Time-Series Analysis for Geophysical Applications: InSAR Scientific Computing Environment (ISCE), ARIA Tools, and MintPy


Mon, Aug 10 - Fri, Aug 14 2020

This 5-day course will cover basic & advanced InSAR theories, InSAR processing with JPL/Caltech InSAR Scientific Computing Environment (ISCE), and time-series InSAR processing with interferometric products generated by different processing centers. We will use Webex Training using a JPL license. For computing and training modules, we’ll use the Alaska Satellite Facility’s OpenSARLab. We expect to have pre-workshop training modules, and Webex based Q&A sessions.

Brief Agenda

  • 1/3 day: InSAR theory
  • 2/3 day: Stripmap InSAR processing with ISCE including lab exercises and discussion of ionospheric corrections
  • 1/2 day: TOPS InSAR processing with ISCE including lab exercises and ionospheric corrections
  • 1/2 day: Post-processing radar data products with GDAL
  • 1/3 day: Accessing data from processed InSAR archives
  • 1/3 day: Manipulation of data from archives including lab exercises
  • 1/3 day: Troposphere corrections for InSAR and preparing InSAR data for modeling including lab exercises
  • 1/3 day: Time-series analysis theory
  • 2/3 day: Time-series analysis exercise with interferogram products from an archive
  • 1/2 day: Processing your own data and processing InSAR stacks with ISCE

Prerequisite, Computers and Data

  • Students will be expected to know basic Unix/Linux command line usage and basic Python programming, and have done basic InSAR processing in the past.
  • Students should review materials from 2015 and 2016 InSAR Processing with ISCE, GIAnT, and StaMPS training courses.
  • Students should review online documentation and tutorial materials available for ISCE.
  • Students must apply for WInSAR data access through their university representative if they don't already have a WInSAR account. In addition, it would be helpful if participants apply for access NASA earthdata account and are able to access ALOS PALSAR and Sentinel-1 datasets via ASF.
  • Participants will use their own laptop computer to access virtual machines where the software will be installed, and should have Python3 installed.
  • Participants should be able to attend a Webinar focused on installation of pre-requisite software like ISCE, to be conducted 3-4 weeks before the short course.