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 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.
