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EURASIP Journal on Advances in Signal Processing
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Simultaneous Observation Data of GB-SAR/PiSAR to Detect Flooding in an Urban Area

EURASIP Journal on Advances in Signal Processing volume 2010, Article number: 560512 (2009) Cite this article

Abstract

We analyzed simultaneous observation data with ground-based synthetic aperture radar (GB-SAR) and airborne SAR (PiSAR) over a flood test site at which a simple house was constructed in a field. The PiSAR under flood condition was 0.9 to 3.4 dB higher than that under nonflood condition. GB-SAR gives high spatial resolution as we could identify a single scattering component and a double bounce component from the house. GB-SAR showed that the difference between the flooding and nonflooding conditions came from the double bounce scattering. We also confirm that the entropy is a sensitive parameter in the eigenvalue decomposition parameters, if the scattering process is dominated by the double bounce scattering. We conclude that and entropy are a good parameter to be used to detect flooding, not only in agricultural and forest regions, but also in urban areas. We also conclude that GB-SAR is a powerful tool to supplement satellite and airborne observation, which has a relatively low spatial resolution.

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Authors and Affiliations

  1. CNEAS, Tohoku University, Sendai, 980-8576, Japan

    Manabu Watanabe, Masayoshi Matsumoto & Motoyuki Sato

  2. EORC/JAXA, Tsukuba, 305-8505, Japan

    Masanobu Shimada

  3. Department of Civil Engineering, Nihon University, Narashino, 275-8575, Japan

    Tomohito Asaka & Hajime Nishikawa

Authors
  1. Manabu Watanabe
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  2. Masayoshi Matsumoto
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  3. Masanobu Shimada
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  4. Tomohito Asaka
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  5. Hajime Nishikawa
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  6. Motoyuki Sato
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Corresponding author

Correspondence to Manabu Watanabe.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Watanabe, M., Matsumoto, M., Shimada, M. et al. Simultaneous Observation Data of GB-SAR/PiSAR to Detect Flooding in an Urban Area. EURASIP J. Adv. Signal Process. 2010, 560512 (2009). https://doi.org/10.1155/2010/560512

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  • DOI: https://doi.org/10.1155/2010/560512

Keywords

  • Urban Area
  • Information Technology
  • Quantum Information
  • Observation Data
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