Extraction flood inundation by utilizing ALOS/PALSAR image

A. Besse Rimba, Fusanori Miura, Takumi Kajitani

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

Abstract

The climate change leads the disaster occurring in everywhere. Remote Sensing as useful technology can detect the disaster quickly even though in a remote area and bad weather condition. The extreme rainfall occurred on 28-29th August 2008 around Chugoku, Shikoku, Tokai, Kanto in Japan that leading the flood. The most impacted area is Okazaki City and Anjo City. According to Japan Meteorology Agency data, the rainfall was 146.5 mm in one hour. In this research, we utilized pre-disaster and post-disaster images of the ALOS/PALSAR satellite to extract the inundation of flood in Okazaki City and Anjo City. By extracting the backscattering value of each object from a predisaster and post-disaster image, then decided the threshold of the backscattering, we extracted the inundation area. The result was validated by using flood report from Okazaki and Anjo City. This method can be used as a quick response to flood disaster.

Original languageEnglish
Title of host publication37th Asian Conference on Remote Sensing, ACRS 2016
PublisherAsian Association on Remote Sensing
Pages1742-1750
Number of pages9
ISBN (Electronic)9781510834613
Publication statusPublished - 2016
Externally publishedYes
Event37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
Duration: 2016 Oct 172016 Oct 21

Publication series

Name37th Asian Conference on Remote Sensing, ACRS 2016
Volume3

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
Country/TerritorySri Lanka
CityColombo
Period16/10/1716/10/21

Keywords

  • ALOS/PALSAR
  • Backscattering
  • Flood

ASJC Scopus subject areas

  • Computer Networks and Communications

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