Simultaneous Observation Data of GB-SAR/PiSAR to Detect Flooding in an Urban Area. (20th December 2009)

• Record Type: Journal Article
• Authors: Watanabe Watanabe, Manabu Manabu; Matsumoto Matsumoto, Masayoshi Masayoshi; Shimada Shimada, Masanobu Masanobu; Asaka Asaka, Tomohito Tomohito; Nishikawa Nishikawa, Hajime Hajime; Sato Sato, Motoyuki Motoyuki
• Other Names: Lopez-Martinez Lopez-Martinez Carlos Carlos Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2009-12-20
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/560512
• Languages: English
• ISSNs: 1687-6172

Abstract

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 σ ∘ 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 σ ∘ 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 σ ∘ 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.