Remote sensing observations from airborne and spaceborne platforms have become an essential tool in disaster management. They provide an immediate and large-area overview of evolving disaster situations, revealing important hazard information to disaster response personnel.
This course will introduce you to Synthetic Aperture Radar (SAR), a remote sensing technology that can see the earth surface even during darkness and through rain, clouds, or smoke. As a participant in this course, you will gain an intuitive understanding of the information contained in SAR earth observations and learn to use a range of analysis techniques and algorithms to apply SAR data to disaster mapping and management. Specific topics will include:
- The mathematical and physical principles of SAR remote sensing
- How to access and visualize SAR data
- Interpretation of SAR imagery in the context of disaster monitoring
- Interferometric SAR (InSAR) concepts
- Flood mapping and SAR change detection for hazard analysis
- InSAR-based analysis of volcanoes and landslides
- The learned concepts will be put into action in simulated disaster response exercises, in which class participants will analyze SAR data sets to create hazard information for several real-life disaster events from the recent past.
Learners registered for the verified track will additionally get the opportunity for hands-on lab exercises using Jupyter Notebooks. The verified track will also include peer discussions and a verified certificate upon successful completion.
This course is produced by the Alaska Satellite Facility at the University of Alaska Fairbanks, which has been selected as the NASA data hub for the upcoming NISAR mission.
