July 29-31, 2013
UNAVCO, 6350 Nautilus Drive, Boulder, Colorado
Course will begin at 9 AM on July 29 and end at 5 PM on July 31.
The goal of this short course is to train scientists in the methods and practices of InSAR (Interferometric Synthetic Aperture Radar), a powerful tool for measuring Earth surface deformation due to earthquakes, volcanic unrest, ground water migration, and anthropogenic activity. Terabytes of InSAR data were collected for the EarthScope program that spans the entire United States. Training scientists new to InSAR for the interpretation of these important data sets is critical to the EarthScope mission. InSAR is also being increasingly used in studies of cryosphere (motion of glaciers and ice sheets) and atmosphere (water content in the troposphere). This short course will also help prepare scientists for exploiting data from upcoming InSAR-capable missions, including one currently being planned by NASA.
New techniques and applications of InSAR are being developing all the time, including stacking, time-series analysis of surface deformation, ScanSAR, polarimetric InSAR, and along-track interferometry. While this 3-day workshop will focus on the fundamentals of InSAR, basic processing and applications for new users, the knowledge gained should prepare attendees to better understand and utilize the newer techniques.
If you have considered using InSAR data and imagery in your research or want to learn more about how to apply InSAR to new areas of research, this workshop is for you. The course includes an overview of the technology and its application to Earth Science, a detailed introduction to the installation and use of the JPL/Caltech ROI_pac processing package, and an overview of other processing packages. The related technique of pixel offset tracking or sub-pixel correlation with SAR images will also be covered. In extended hands-on sessions ("tinker time"), the students will use the ROI_pac software to process example data. In a half-day session, we will introduce the Generic InSAR Analysis Toolbox (GIAnT) to show how time-series analysis of InSAR data can extract additional information.
Participants will be expected to know basic UNIX or Linux command line usage. Students must apply for WInSAR data access through their University representative (WInSAR Membership) 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 the Alaska Satellite Facility as a WInSAR member. A computer will be provided with the packages to use during the course.
Eric Fielding, Jet Propulsion Laboratory/Caltech, Eric.Fieldingjpl.nasa.gov
Walter Szeliga, Central Washington University, waltergeology.cwu.edu
Piyush Shanker Agram, Jet Propulsion Laboratory/Caltech, Piyush.Agramjpl.nasa.gov
Scott Baker, UNAVCO, bakerunavco.org
Last modified: Wednesday, 02-Jan-2019 20:00:06 UTC