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Mass Movement Monitoring and Susceptibility Mapping Using Unmanned Aerial Systems along Railway Corridors
Department: Geology
ResourceLengthWidthThickness
Paper000
Specimen Elements
Pocatello
Unknown to Unknown
Dana E. Drinkall
Idaho State University
Thesis
No
7/11/2023
digital
City: Pocatello
Master
In northern Idaho (USA), landslides along railway transportation corridors pose a threat for derailments and potential for pollution. One such derailment occurred in 2017 along the Moyie River and in 2020 a rockslide caused a train engine to derail into the Kootenai River resulting in diesel fuel contamination. In 2017 and 2021, mass movement sites were flown with Unmanned Aerial Systems (UAS) equipped with LiDAR along the Kootenai River, Moyie River, and Deep Creek in order to: (1) measure mass movement change using a Multiscale Model-to-Model Cloud Comparison (M3C2) and (2) model mass movement susceptibility and characterization along these river corridors with object-based image analysis (OBIA). This study prototypes a methodology for railway companies to map geohazards along railway corridors using repeat LiDAR to facilitate long term monitoring and mitigate future derailments, service interruptions, and environmental contamination.

Mass Movement Monitoring and Susceptibility Mapping Using Unmanned Aerial Systems along Railway Corridors

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