Journal cover Journal topic
Advances in Cartography and GIScience of the ICA
Journal topic
Volume 1
Adv. Cartogr. GIScience Int. Cartogr. Assoc., 1, 14, 2019
https://doi.org/10.5194/ica-adv-1-14-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Cartogr. GIScience Int. Cartogr. Assoc., 1, 14, 2019
https://doi.org/10.5194/ica-adv-1-14-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  03 Jul 2019

03 Jul 2019

Evaluating earthquake-related ground failure mapping by combined traditional and modern methods

Takayuki Nakano, Hiroshi Une, Kazuki Yoshida, Satoshi Fujiwara, and Tomokazu Kobayashi Takayuki Nakano et al.
  • Geospatial Information Authority of Japan

Keywords: 2016 Kumamoto Earthquake, ground failure, ortho-mosaic image interpretation, InSAR, SfM-MVS

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.

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