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https://www.edx.org/course/synthetic-...
The first MOOC on SAR remote sensing for disaster monitoring. Learn the concepts of the weather and illumination-independent SAR remote sensing technology and explore its applications to natural hazards such as earthquakes, volcanic eruptions, and flooding.
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 ground 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 observations and learn to use a range of analysis techniques to apply SAR data to disaster mapping and management. Specific topics will include:
The mathematical and physical principes of SAR remote sensing
How to access and visualize SAR data
Interpretation of SAR images in the context of disaster monitoring
Interferometric SAR (InSAR) concepts
Flood mapping and SAR change detection for hazard analysis
The learned concepts will be put into action in simulated disaster response exercises, where class participants will analyze SAR data sets to create hazard information for several real-life disaster events from the recent past.
What You'll Learn:
Gain an intuitive understanding of the SAR image and phase information
Understand the properties of different SAR sensor types and gain experience with picking the optimal sensor for your application
Create RGB color visualizations from images acquired at different times or in different polarizations.
Use SAR images to map flooding, deforestation, and landslides
Use interferometric SAR techniques to measure cm-scale surface deformation related to earthquakes and volcanic activity