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Slope Failure Detection Through Multi-Temporal Lidar Data And Geotechnical Soils Analysis Of The Deep-Seated Madrone Landslide, Coast Range, Oregon, Michael Scott Marshall
Slope Failure Detection Through Multi-Temporal Lidar Data And Geotechnical Soils Analysis Of The Deep-Seated Madrone Landslide, Coast Range, Oregon, Michael Scott Marshall
Dissertations and Theses
Landslide hazard assessment of densely forested, remote, and difficult to access areas can be rapidly accomplished with airborne light detection and ranging (lidar) data. An evaluation of geomorphic change by lidar-derived digital elevation models (DEMs) coupled with geotechnical soils analysis, aerial photographs, ground measurements, precipitation data, and numerical modeling can provide valuable insight to the reactivation process of unstable landslides. A landslide was selected based on previous work by Mickleson (2011) and Burns et al. (2010) that identified the Madrone Landslide with significant volumetric changes. This study expands on previous work though an evaluation of the timing and causation of …