This 4.5-day course will cover basic and advanced InSAR theories, InSAR processing with JPL/Caltech/Stanford InSAR Scientific Computing Environment (ISCE), and time-series InSAR processing with interferometric products generated by different processing centers.
1/2 day: InSAR theory
1 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
1/2 day: Post-processing radar data products with GDAL
1/2 day: Troposphere corrections for InSAR including lab exercises
1/3 day: Accessing data from processed InSAR archives
2/3 day: Time-series analysis exercise with interferogram products from an archive
1/2 day: Processing your own data; informal presentation by participants / team exercises
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 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 should bring their own laptop computer to access virtual machines where the software will be installed, and should have Python3 installed.
Paul Rosen (JPL)
Piyush Agram (JPL)
David Bekaert (JPL)
Heresh Fattahi (JPL)
Gareth Funning (UC Riverside)
Scott Baker (UNAVCO)
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.
Please contact Donna Charlevoix, UNAVCO: donnacunavco.org.