Abstract
Investigations of landslides and slope failures have increasingly been conducted using remote sensing. Recently, research has been conducted using airborne laser scanning to analyze differences from past measurement data and extract changes, thus clarifying surface deformations. This method is particularly useful for translational landslides, where surface collapse is not clearly observed, as it facilitates the prediction of future activity and impact assessment. In this context, the present study focused on a deep-seated translational landslide that occurred west of Hattaro Pass in the Neogene sedimentary rock distribution area during the Noto Peninsula earthquake. Using displacement vector analysis, we elucidated the characteristics of deformation. Specifically, first, the overall deformation characteristics of the landslide area were identified, and second, block divisions with local deformation characteristics were performed. As a result, the deforming blocks could be divided into three sections, with the central block exhibiting the largest average translational displacement at 4.6 meters and a rotational displacement of 0.6 degrees. The deformation exhibited subsidence in the northern section and uplift in the southern section.
