Object-based image analysis of post-tsunami high-resolution satellite images for mapping the impact of tsunami disaster

Shunichi Koshimura, Shintaro Kayaba, Hideomi Gokon

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

2 Citations (Scopus)

Abstract

The authors developed a method of object-based satellite image analysis using high-resolution post-tsunami satellite image to detect and map tsunami impact. The method is applied to QuickBird 4 band pan-sharpened composite image acquired in Banda Aceh, Indonesia, and the ground objects are classified into six; vegetation, water, soil, building, road and debris, for mapping the impact of the 2004 Sumatra-Andaman earthquake tsunami.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages1993-1996
Number of pages4
DOIs
Publication statusPublished - 2011 Nov 16
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 2011 Jul 242011 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
CountryCanada
CityVancouver, BC
Period11/7/2411/7/29

Keywords

  • damage detection
  • object-based image analysis
  • optical satellite image
  • tsunami

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Koshimura, S., Kayaba, S., & Gokon, H. (2011). Object-based image analysis of post-tsunami high-resolution satellite images for mapping the impact of tsunami disaster. In 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings (pp. 1993-1996). [6049519] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2011.6049519