Brief Introduction
The first MOOC about Synthetic Aperture Radar (SAR) remote sensing for disaster monitoring. Learn about weather and illumination-independent SAR remote sensing technology, and explore its applications to natural hazards including earthquakes, volcanic eruptions, and flooding.
Description
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 principles 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
- 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.
Knowledge
- Participants in this course will develop the following skills:
- Intuitive understanding of SAR image and phase information
- Understanding the properties of different SAR sensor types
- Ability to pick the optimal sensor for your application
- Creation of RGB color visualizations from images acquired at different times or in different polarizations
- Use of SAR images to map hazards such as flooding and deforestation
- Use of interferometric SAR techniques to measure cm-scale surface deformation related to volcanic activity and landslides
Synthetic Aperture Radar: Hazards
- 0.0
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The first MOOC about Synthetic Aperture Radar (SAR) remote sensing for disaster monitoring. Remote sensing observations from airborne and spaceborne platforms have become an essential tool in disaster management....
Fundamentals of Remote Sensing and Geospatial Analysis
- 4.1
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Become proficient in satellite remote sensing, spatial analysis principles, methods, applications, sensors, and GIS! Get this course for only 9. 99....
