NASA Earth Surface and Interior SAR and InSAR Training Project Paul Rosen JPL Principal Investigator Franz Meyer UAF Co-Investigator Scott Hensley JPL Co-Investigator Piyush Agram JPL Co-Investigator Andrea Donnellan JPL Co-Investigator Linlin Ge UNSW Co-Investigator Hilarie Davis Assessment Consultant

Goals of ESI SAR/InSAR Training Project Develop a set of lecture materials and self-guided labs specifically tailored to the ESI community Comprehensive semester course in SAR and InSAR spans first principles and phenomenology to advanced techniques computer labs using the open source InSAR Scientific Computing Environment (ISCE) (Rosen et al., 2009, 2012) and Generalized InSAR Analysis Tool (GIAnT) (Agram et al., 2013) packages. Two-week short course that condenses the semester course into two intensive weeks, including labs. Designed to be two sequential short courses: beginners could take only the first week, advanced users only the second week. One-week short course that condenses the two-week course further, including labs, geared toward the professional, either with experience already, or interested in an overview. Self-directed computer labs, for those who want to learn the field by practice. This will have references to the course material, and allow exposure to the methods incrementally. These labs will be used in the above courses as well, so will be developed with all three contexts in mind. A web portal that allows online training, and a space for students to provide their own examples and tutorials, along the lines of contributed open source software, but for training materials.

Proposed Approach Top-down, graduated exposure to new material from geoscientists viewpoint Testing at UAF, UNSW, some at JPL Assessment component at UAF/UNSW and through consultant Proposed ESI Course Typical SAR Course

Curriculum elements Course Lectures Python-based Labs 15 week semester graduate course 45 hours of lecture 15 sample homework assignments 1 sample mid-term 1 sample final exam 15 labs each 3 hours 2 week short course   10 days of lectures 4 hours lecture per day 8 labs each 3 hours 1 lab problem suite for students to solve 1 week short course 5 days of lectures 3 labs each 3 hours

Materials Considering Jupyter Notebooks for lecture notes (theory), exercises, processing workflows, and labs to harmonize learning environment However, lecture notes may end up as powerpoint Cloud deployment of lab environments for processing datasets Labs with modern portable web-driven interfaces, with the aim of low maintenance cost Enables longevity Easy updates, possibly with student-provided examples and tutorials

Expected Outcomes Reach the ESI community graduate student and postdoctoral scientists in geodesy, geophysics, and data science. Elements of self-directed study that is typically lacking in many of the “viewgraph package” short course formats. We will include exercises (and their solutions) so that students can check their understanding. Elements that enable teachers to learn how to teach the material, thereby creating a multiplier effect on the dissemination of material.

Schedule Kickoff imminent... 2-year development 2018 2019 2020