S. Takeuchi
Hiroshima Institute of Technology
34 Papers
194 Citations
S. Takeuchi is an academic researcher from Hiroshima Institute of Technology. The author has contributed to research in topics: Interferometric synthetic aperture radar & Synthetic aperture radar. The author has an hindex of 10, co-authored 34 publications.
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Papers
Monitoring of a rice field using landsat-5 TM and landsat-7 ETM+ data
TL;DR: In this paper, two vegetation indices NDVI (Normalized difference Vegetation Index) and EVI (Extended Vegetation index) obtained from Landsat-5 TM data of 7 July 2000 and that from LandsAT-7 ETM+ data of 6 July 2000 show almost the same feature proving the validity of calibration of both sensors, and the vegetation indices computed from in situ survey data with a portable multispectral radiometer do not coincide with those computed from satellite data.
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Detection of urban damage using interferometric SAR decorrelation
Chinatsu Yonezawa,S. Takeuchi +1 more
- 28 Jun 1999
TL;DR: The coherency is important for detecting the damaged urban area using the correlation of SAR data because the major factor in the intensity decorrelation is still related to the interferometric decorrelation process, namely, the change of speckle patterns due to thechange of urban surface patterns.
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Detection of urban disaster using InSAR. A case study for the 1999 Great Taiwan Earthquake
S. Takeuchi,Y. Suga,Chinatsu Yonezawa,A. J. Chen +3 more
- 24 Jul 2000
TL;DR: In this article, the applicability of interferometric SAR (InSAR) using ERS-2 SAR data for detecting damaged urban areas by the Great Taiwan Earthquake (Chi-Chi Earthquake) occurred on Sep. 21, 1999.
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Comparative study for flood detection using JERS-1 SAR and Landsat TM data
S. Takeuchi,T. Konishi,Yuzo Suga,S. Kishi +3 more
- 28 Jun 1999
TL;DR: In this article, the authors verified the applicability of spaceborne SAR data for flood detection by a comparative study using JERS-1 SAR and Landsat TM data, where the inundated areas were extracted using the change of normalized difference vegetation index (NDVI).
17
Urban damage detection using decorrelation of SAR interferometric data
Chinatsu Yonezawa,N. Tomiyama,S. Takeuchi +2 more
- 07 Nov 2002
TL;DR: This study analyzes JERS-1 SAR data pairs straddling the occurrence of the 1995 Hyogoken-nanbu earthquake to indicate a fact that the building damage causes the interferometric decorrelation.
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