Sponsor: USDOT Research and Innovative Technology Administration (RITA)
PI: Thomas Oommen
The objective of this proposed study is to establish a sustainable framework for Geotechnical Asset Management (GAM) using remote sensing data that can be used by the state departments of transportation across the US in order to identify and mitigate the failure of geotechnical assets proactively along the transportation infrastructure environment. Developing a sustainable GAM to enable more proactive infrastructure risk assessment is critical for strategic investment and long term management of the United State’s transportation infrastructure. Remote sensing techniques, such as Interferometric Synthetic Aperture Radar (InSAR) and Light Detection and Ranging (LiDAR) provide great opportunities to measure ground movements precisely. Additionally, high resolution optical images complement observations from InSAR and LiDAR. Applying these techniques to the transportation environment can help to monitor and manage the stability of the geotechnical assets and would significantly reduce the level of effort currently needed to survey and inspect these assets.