Tsunami debris mapping by optical and lidar remote sensing

Shunichi Koshimura, Takumi Fukuoka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the 2011 Great East Japan Earthquake and Tsunami Disaster, approximately 23 million tons of debris was estimated over wide areas caused by the tsunami damage. Quantitative estimation of tsunami debris is essential from disaster response point of view. In this study, a novel remote sensing method has been developed for measuring the amount of tsunami debris by integrating optical and LiDAR remote sensing. The analysis was conducted in Onagawa town, Miyagi Prefecture. Integration of horizontal mapping of tsunami debris and the analysis of digital surface model (DSM) of LiDAR data yields an estimate of the volume of tsunami debris.

Original languageEnglish
Title of host publicationProceedings of the 29th International Ocean and Polar Engineering Conference, ISOPE 2019
EditorsJin S. Chung, Odd M. Akselsen, HyunWoo Jin, Hiroyasu Kawai, Yongwon Lee, Dmitri Matskevitch, Suak Ho Van, Decheng Wan, Alan M. Wang, Satoru Yamaguchi
PublisherInternational Society of Offshore and Polar Engineers
Pages3280-3285
Number of pages6
ISBN (Print)9781880653852
Publication statusPublished - 2019
Event29th International Ocean and Polar Engineering Conference, ISOPE 2019 - Honolulu, United States
Duration: 2019 Jun 162019 Jun 21

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
Volume3
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Conference

Conference29th International Ocean and Polar Engineering Conference, ISOPE 2019
CountryUnited States
CityHonolulu
Period19/6/1619/6/21

Keywords

  • LiDAR
  • Optical sensor
  • Remote sensing
  • The 2011 Great east Japan earthquake and tsunami
  • Tsunami debris

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Tsunami debris mapping by optical and lidar remote sensing'. Together they form a unique fingerprint.

Cite this