Extraction flood inundation by utilizing ALOS/PALSAR image

A. Besse Rimba, Fusanori Miura, Takumi Kajitani

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル37th Asian Conference on Remote Sensing, ACRS 2016
出版社Asian Association on Remote Sensing
ページ1742-1750
ページ数9
ISBN(電子版)9781510834613
出版ステータスPublished - 2016
外部発表はい
イベント37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
継続期間: 2016 10月 172016 10月 21

出版物シリーズ

名前37th Asian Conference on Remote Sensing, ACRS 2016
3

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
国/地域Sri Lanka
CityColombo
Period16/10/1716/10/21

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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