LiDAR-derived DEM evaluation of deep-seated landslides in a steep and rocky region of Japan |
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| Authors: | Mio Kasai Manabu Ikeda Toshihiro Asahina Kazunori Fujisawa |
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| Institution: | aLandslide Research Team, Public Works Research Institute, 1-6 Minamihara, Tsukuba, 305-8516, Japan;bRiver and Erosion Control Technology Department, Pasco Corporation, 1-1-2 Higashiyama, Meguro-ku, Tokyo, 153-0043, Japan |
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| Abstract: | In steep and rocky terrains, their rough surfaces make it difficult to create landslide inventories even with detailed maps/images produced from airborne LiDAR data. To provide objective clues in locating deep-seated landslides, the surface textures of a 5 km2 steepland area in Japan was investigated using the eigenvalue ratio and slope filters calculated from a very high resolution LiDAR-derived DEM. The range of filter values was determined for each of a number of surface features mapped in the field and these included: cracked bedrock outcrops, coarse colluvial deposits, gently undulating surfaces, and smooth surfaces. Recently active slides commonly contained patches of ground in which deposition and erosion occurred together near the erosion front, or where cracked bedrock outcrops and coarse colluvial deposits coexisted under a gently undulating surface. The characteristic eigenvalue and slope filter values representing this sliding process were applied to maps of the DEM derived filter values to extract potential sites of recent landslide activity. In addition, the relationships between the filter values of deep-seated landslides at various stages of evolution within the field mapped area were extended to the entire study area, to assess the contribution that landslide evolution makes to change in the landscape as a whole. While landslide components made up the steepest as well as the gentlest parts of the landscape depending on their evolutionary stage, landslides were constantly coarsened and steepened by progressive erosion, probably initiated by river bank erosion at the foot of slopes. |
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| Keywords: | LiDAR Deep seated landslide Slide activity Surface roughness Slope angle |
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