This training builds on the skills taught from previous ARSET SAR training in terms of the use of Google Earth Engine for flood mapping of radar data. This training presents two new topics; the use of InSAR for characterizing landslides and the generation of a digital elevation model (DEM).
By the end of this training, attendees will be able to:
- Create a flood map using Google Earth Engine
- Generate a map characterizing areas where landslides have occurred
- Generate a digital elevation model (DEM)
This webinar series will consist of three, two-hour parts. Each part will include a presentation on the theory of the topic followed by a demonstration and exercise for attendees.
This training is also available in Spanish. Please visit the Spanish page for more information.
A certificate of completion will also be available to participants who attend all sessions and complete the homework assignment, which will be based on the webinar sessions. Note: certificates of completion only indicate the attendee participated in all aspects of the training, they do not imply proficiency on the subject matter, nor should they be seen as a professional certification.
Prerequisites are not required for this training, but attendees that do not complete them may not be adequately prepared for the pace of the training.
Introduction to Synthetic Aperture Radar
Advanced Webinar: Radar Remote Sensing for Land, Water, and Disaster Applications
Advanced Webinar: SAR for Landcover Applications
Software Instructions: You can follow along with the demonstrations by using the software listed below. Recordings of each Part will be made available on YouTube within 24 hours after each demonstration for you to go through at your own pace.
Part One: SAR for Flood Mapping
Google Earth Engine
Part Two: Interferometric SAR for Landslide Observations
Part Three: Generating a Digital Elevation Model (DEM)
For both parts, the trainers will be using Sentinel-1 Toolbox
December 3, 2019. December 4, 2019. December 5, 2019.
10:00-12:00 EST (UTC-5)
Thursday, December 5, 2019
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