Abstract

Abstract. A wide range of ground failure such as earthquake faulting (surface rupture), landslides, and liquefaction occur after a large earthquake. In this study, in order to rapidly determine the distribution of failure over a wide area after an earthquake, we combined traditional methods such as aerial photo interpretation and modern methods such as unmanned aerial vehicle (UAV) or interferometric synthetic aperture radar (InSAR) techniques. Moreover, elevation variations obtained using DEMs and the structure from motion and multi-view stereo (SfM-MVS) technique were employed to understand local ground deformation factors, such as reclaimed valley deformation. Using ortho-mosaic images, surface fissures caused by the 2016 Kumamoto Earthquake in Japan were rapidly interpreted and mapped, which enabled early interpretation of the ground failure situation. Furthermore, surface displacement properties extracted from SAR interferograms allowed for more advanced earthquake fault detection; surface displacement associated with liquefaction was also identified from SAR interferograms. In addition, InSAR was used to detect reclaimed valley deformation. Comparing this with the reclaimed valley distribution map created by the SfM-MVS technique improved our understanding of this phenomenon. However, many of these techniques require large amounts of manpower and time and can be influenced by differences in analyst skill level. In future, the development of mechanically automated ground failure identification will improve earthquake disaster responses.

Highlights

  • After a large earthquake, various types of ground failure may occur, such as earthquake faulting, landslides, and liquefaction

  • We focus on surface fissures, soil liquefaction and associated surface displacement, and reclaimed valley deformation related to earthquakes and map the relevant ground failure using a combination of traditional methods; i.e., aerial photo interpretation and modern methods; i.e., unmanned aerial vehicles (UAV) video, Interferometric Synthetic Aperture Radar (InSAR) technology, and structure from motion and multi-view stereo (SfM-MVS) technique

  • This study evaluates the capabilities of both traditional and modern methods for large-scale, rapid mapping of multiple types of ground failure associated with earthquakes

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Summary

Introduction

Various types of ground failure may occur, such as earthquake faulting (surface rupture), landslides, and liquefaction. For an effective disaster response, it is important that governments can rapidly detect the distribution of ground failure over a wide area. Conventional aerial photos are taken by aircraft, the use of unmanned aerial vehicles (UAV) has progressed recently, which is suitable for highresolution video and images over a small area. Interferometric Synthetic Aperture Radar (InSAR) technology, which is mainly aimed at detecting crustal deformation associated with earthquakes, utilizes SAR images from two different periods captured in the same location (Hanssen, 2001). It is an innovative approach that is effective for identification of surface displacement such as secondary fault displacement and minor slope deformation induced by earthquakes (Une et al, 2008; Fujiwara et al, 2016; Nakano et al, 2016b etc.)

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