Course Information | InSAR Theory & Processing with ISCE, GIAnT, and StaMPS

This 4.5-day course will cover basic & advanced InSAR theories, InSAR processing with JPL/Caltech/Stanford InSAR Scientific Computing Environment (ISCE), time-series InSAR processing with Generic InSAR Analysis Toolbox (GIAnT), and StaMPS (Stanford Method for Persistent Scatterers) processing. Contact Eric Fielding eric.j.fieldingjpl.nasa.gov with questions.

Brief Agenda

• 1/2 day: InSAR theory
• 3/4 day: InSAR processing with ISCE; lab exercises
• 1/2 day: Advanced InSAR processing concepts
• 1/2 day: Time-series InSAR processing with GIAnT; lab exercises (Agram)
• 1-3/4 days: StaMPS InSAR processing; lab exercises.
• 1/2 day: processing your own data; informal presentation by participants.

Prerequisite, Computers and Data

• Students will be expected to know basic Unix/Linux command line usage and basic Matlab programming.
• Students will be expected to have done basic InSAR processing in the past.
• Students should review materials from 2014 and 2015 training short courses.
• 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 to the ALOS PALSAR data at the Alaska Satellite Facility as a WInSAR member.
• Participants should bring their own laptop computer and preinstall the ISCE, GIAnT, TRAIN, and StaMPS software packages on the laptop or a remote machine at your institution before arrival. To run StaMPS and TRAIN, the computer must have Matlab installed.

Instructors

• Paul Rosen (JPL)
• Eric Fielding (JPL)
• Piyush Agram (JPL)
• Andy Hooper (University of Leeds)
• David Bekaert (JPL)
• Scott Baker (UNAVCO)

Virtual Participation

This short course will be available via WebEx for those who would like to attend virtually. Please indicate when you register if you will be attending the meeting in Boulder or virtually.

Last modified: 2019-12-24  01:25:48  America/Denver