Abstract

Unmanned aerial systems (UASs) and structure-from-motion multi-view stereo (SfM-MVS) photogrammetry have attracted a tremendous amount of interest for use in the creation of high-definition topographic data for geoscientific studies. By using these techniques, this study examined the topographic characteristics of coseismic landslides triggered by the 2016 Kumamoto earthquake (Mw 7.1) in the Sensuikyo area (1.0 km2) at Aso volcano, Japan. The study area has frequently experienced rainfall-induced landslide events, such as those in 1990, 2001, and 2012. We obtained orthorectified images and digital surface models (DSMs) with a spatial resolution of 0.06 m before and after the 2016 Kumamoto earthquake. By using these high-definition images and DSMs, we detected a total of 54 coseismic landslides with volumes of 9.1–3994.6 m3. These landslides, many of which initiated near topographic ridges, were typically located on upside hillslopes of previous rainfall-induced landslide scars that formed in 2012. This result suggests that the topographic effect on seismic waves, i.e., amplification of ground acceleration, was important for coseismic landslide initiation in the study area. The average depth of the coseismic landslides was 1.5 m, which is deeper than the depth of the rainfall-induced landslides prior to these. The total sediment production of the coseismic landslides reached 2.5 × 104 m3/km2, which is of the same order as the sediment production triggered by the previous single heavy rainfall event. This result indicates that the effects of the 2016 Kumamoto earthquake in terms of sediment production and topographic changes were similar to those of the rainfall-induced landslide event in the study area.

Highlights

  • Landslides are major natural hazards that contribute to landscape evolution and erosion in mountainous regions (Keefer and Larsen 2007)

  • A comparison of these images and Digital surface model (DSM) between the 2 months revealed that 54 landslides and many fissures occurred near topographic ridges in the study area as a result of the 2016 Kumamoto earthquake (Figs. 3, 4, and 5)

  • By using the advantages of the high-definition data, repeatability, and mobility provided by the Unmanned aerial system (UAS) and the structure-from-motion multi-view stereo (SfM-MVS) photogrammetry method, this study detected the distribution of landslides triggered by the 2016 Kumamoto earthquake

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Summary

Introduction

Landslides are major natural hazards that contribute to landscape evolution and erosion in mountainous regions (Keefer and Larsen 2007). Most landslides are triggered by episodic events such as heavy rainfall events, earthquakes, or combinations of both. Japan is characterized by high-relief topography, frequent earthquakes, and rainfall events; rainfall and earthquakes are the dominant triggers of landslides in Japan (e.g., Sato et al 2005; Saito et al 2014). In April 2016, the Kumamoto earthquake, which was a series of earthquakes, occurred on Kyushu Island, Japan (Furumura 2016; Lin et al 2016). The main shock of Mw 7.1 on April 16, which was Mj 7.3 on the Japan Meteorological Agency intensity scale (Fig. 1), caused many landslides near the hypocenter area, including landslides in the Aso volcano region (e.g., Miyabuchi 2016).

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