Estimating Tsunami Inundation Depth Using Terrasar-X Data

Hideomi Gokon, Shunichi Koshimura, Kimiro Meguro

    研究成果: Conference contribution

    抄録

    In this study, a function to estimate tsunami inundation depth using pre- and post-event high-resolution synthetic aperture radar (TerraSAR-X) data was derived and the performance was evaluated. After the tsunami disaster, it is important to identify an extensive impact caused by a tsunami disaster. Tsunami inundation depth is an important index to expect building damage because it has a strong correlation with the amount of building damage. However, it was diffcult to estimate the tsunami inundation depth from satellite image. This study aims at developing a method to estimate tsunami inundation depth by integrating remote sensing technology and tsunami engineering. The method for estimating tsunami inundation depth consists of two steps, 1) Change detection of pre- and post-event TerraSAR-X data that captured affected areas due to the 2011 Tohoku earthquake and tsunami, 2) Estimation of tsunami inundation depth. The new function showed good performance with the correlation coefficient of R = 0.68.

    本文言語English
    ホスト出版物のタイトル2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ4845-4848
    ページ数4
    ISBN(電子版)9781538691540
    DOI
    出版ステータスPublished - 2019 7
    イベント39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
    継続期間: 2019 7 282019 8 2

    出版物シリーズ

    名前International Geoscience and Remote Sensing Symposium (IGARSS)

    Conference

    Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
    国/地域Japan
    CityYokohama
    Period19/7/2819/8/2

    ASJC Scopus subject areas

    • コンピュータ サイエンスの応用
    • 地球惑星科学(全般)

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