2008
DOI: 10.1016/j.geomorph.2008.02.012
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A fault scarp in an urban area identified by LiDAR survey: A Case study on the Itoigawa–Shizuoka Tectonic Line, central Japan

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Cited by 56 publications
(31 citation statements)
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“…Thus, these data can be used to explore quantitatively the characteristics of tectonic geomorphology (e.g., Arrowsmith and Zielke [7]). The data also revealed small-scale fault scarps in the urban area (e.g., Kondo et al [8]) as well as on the mountain slopes beneath the dense forest vegetation (e.g., Lin et al [9]). However, fault-related broad deformations were invisible on the usual topographical maps (slope shade map, hill shade map, and contour map), even if airborne LiDAR data was adopted.…”
Section: Fault-related Broad Deformations In An Urban Areamentioning
confidence: 86%
“…Thus, these data can be used to explore quantitatively the characteristics of tectonic geomorphology (e.g., Arrowsmith and Zielke [7]). The data also revealed small-scale fault scarps in the urban area (e.g., Kondo et al [8]) as well as on the mountain slopes beneath the dense forest vegetation (e.g., Lin et al [9]). However, fault-related broad deformations were invisible on the usual topographical maps (slope shade map, hill shade map, and contour map), even if airborne LiDAR data was adopted.…”
Section: Fault-related Broad Deformations In An Urban Areamentioning
confidence: 86%
“…In contrast to the three interplate thrust earthquakes, the fourth (Fig. 3d) is the 762 (or 841) inland earthquake, roughly as large as Mw 8, along the Itoigawa-Shizuoka Tectonic Line, which may have repeated historically (Okumura 2001;Kondo et al 2008); herein, we call this the ISTL earthquake. The fifth (Fig.…”
Section: Methods/experimentalmentioning
confidence: 98%
“…Borehole data and archaeological studies indicate that the fault scarp is indeed in a pull-apart basin, and were formed during the most recent faulting event associated with historical earthquakes. In the Rangitaiki Plains, the fastest extending section of the onshore Taupo Rift in New Zealand, Begg and Mouslopoulou [41] used fault-parallel and faultnormal profiles created from a LiDAR-derived DEM with 3.5 m resolution, and identified a vertical displacement of ~3 m across an active normal fault. Topographic profiles derived from LiDAR data are effective for quantifying vertical displacements caused by active faults.…”
Section: Planar Geomorphic Markers Revealed By Lidarmentioning
confidence: 99%