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

Information on UNAVCO's response to COVID-19

Course Information

This short course will be offered in a virtual format only.

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.

Full Course Agenda

Course Recordings

Course Materials

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.

Instructors

• Paul Rosen (JPL)
• David Bekaert (JPL)
• Heresh Fattahi (JPL)
• Scott Baker (UNAVCO)
• Gareth Funning (UC Riverside)
• Piyush Agram (Descartes Labs)
• Franz Meyer (University of Alaska, Fairbanks)

Questions

Please contact Donna Charlevoix, UNAVCO: donnacunavco.org.

Last modified: 2021-01-11  19:35:02  America/Denver