REGISTRATION OPENS IN APRIL

This 5-day course will cover basic & advanced InSAR theory, InSAR processing with the JPL/Caltech InSAR Scientific Computing Environment (ISCE), methods for mitigating noise in InSAR data, access the ARIA & OPERA standard InSAR products and prepare them for time-series analysis, InSAR time-series analysis with the MintPy software, pixel offset tracking, and basic data interpretation and modeling.

Time: 5 days, 5 main sessions, with additional morning and evening office hours; homework assignments
Primary Audience: Graduate students, postdocs and early career scientists interested in using InSAR in their research.
Secondary Audience: Instructors who plan to teach InSAR processing and analysis.

More information to be posted later.