This training, led by NASA's Applied Remote Sensing Training program (ARSET), builds on the skills taught in previous synthetic aperture radar (SAR) courses in terms of the use of Google Earth Engine for flood mapping with 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:
The target audience for this training are local, regional, state, federal, and international organizations interested in using SAR for disaster or hydrological applications.
Tuesday, Dec. 3, 2019
This session will focus on the use of Google Earth Engine (GEE) to generate a flood map utilizing SAR images from the Sentinel-1 satellite. The first part of this session will cover basic principles of radar remote sensing related to flooding. The remaining time in the session will be dedicated to a demonstration on how to use GEE to generate flood extent products with Sentinel-1 and how to integrate socioeconomic data into the flood map to identify areas at risk.
Wednesday, Dec. 4, 2019
This session is focused on landslide observations. Participants will utilize and build on InSAR skills from the previous three SAR webinar series. The first part of the session will cover the physics of InSAR as related to landslides. The remainder will be focused on how to generate and interpret the derived landslide product.
Guest Instructor: Dr. Eric Fielding (JPL)
Thursday, Dec. 5, 2019
Featuring a guest speaker from the Argentina National Space Activities Commission (CONAE), participants will learn how to generate a DEM through InSAR techniques. The first part of the session will cover the physics behind using two SAR phase images to generate a DEM. The remainder of the time will focus on how to generate a DEM.
(2019). ARSET - SAR for Disasters and Hydrological Applications. https://www.earthdata.nasa.gov/learn/trainings/sar-disasters-hydrological-applications.