United States Department of Transportation
i
Division of Engineering Research on Call, Agreement 34652. Task 12, Change Detection of Inventoried Landslides Using Remote Sensing Techniques
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2023-11-01
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[PDF-11.08 MB]
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Edition:Final Report
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Abstract:This study evaluates the effectiveness of utilizing remotely sensed three-dimensional (3D) spatial data, including Light Detection and Ranging(lidar) and Interferometric Synthetic Aperture Radar (InSAR) for interpreting change detections of eastern Ohio (Districts 5, 10, and 11) landslides. The performance of lidar methods used by specialty firm Teren were evaluated for their ability to detect 99 inventoried landslides, relative to field inspection surveys. The performance of InSAR methods used by specialty firm EO59 were evaluated for their ability to detect a subset of 15 inventoried landslides, relative to field inspection surveys. Four selected case studies are detailed to showcase the performance of these methods. Ultimately this work is anticipated to support the potential adoption of remote sensing technologies to supplement or substitute current Ohio Department of Transportation (ODOT) landslide inventory field surveys. The research team believes that in the near-term, the integration of lidar-based approaches with the landslide inventory can potentially increase landslide detection reliability and reduce overall costs. InSAR may additionally be considered for either indicating subtle movements for lower risk landslides, or frequently monitoring movements of higher risk landslides
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