Simultaneous Observation Data of GB-SAR/PiSAR to Detect Flooding in an Urban Area
<p>Abstract</p> <p>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 <inline-formula> <graphic file="1687-6180-201...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2010-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2010/560512 |
| Summary: | <p>Abstract</p> <p>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 <inline-formula> <graphic file="1687-6180-2010-560512-i1.gif"/></inline-formula> 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 <inline-formula> <graphic file="1687-6180-2010-560512-i2.gif"/></inline-formula> 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 <inline-formula> <graphic file="1687-6180-2010-560512-i3.gif"/></inline-formula> 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.</p> |
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| ISSN: | 1687-6172 1687-6180 |