Remote Sensing Applications

Remote Sensing Applications

Task Description: Remote sensing applications include satellite-based technologies such as interferometric synthetic aperture radar (InSAR). Additional remote applications are Robot-enabled LiDAR, and optical and multi-spectral multi-sensing tools.

Remote sensing monitoring technologies will be deployed at two sites. One demonstration site is located in the Eastbay, with a relatively steep environment subjected to landslides and surface fault creep associated with the Hayward Fault. Earlier work performed by this team provides data about landslide mechanisms and surface creep in the area. The remote sensing technologies are anticipated to provide data at regional scales (Level 2) that will have less uncertainty than data at a uniform resolution over the entire state of California (Level 1). Furthermore, some of the data will be site-specific, which will enable assessment with medium uncertainty (Level 3).

Another demonstration site is located in Gilroy, California, along the Calaveras fault, a major fault of the San Andreas fault system. The complexity of the site with fault creep, active landslide zones, and slip behavior is documented in research. The remote sensing technologies will provide site-specific data which will enable assessment with medium uncertainty (Level 3). Furthermore, detailed sensing of specific pipelines at this site will provide data with the least uncertainty (Level 4) that can be used to assess the pipeline’s performance.

Lead Investigators: Dimitrios Zekkos (UC Berkeley), Roland Bürgmann (UC Berkeley)

Team Members: Yuankun Xu (UC Berkeley), Youngseok Jo (UC Berkeley), Rui Tao (UC Berkeley)

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