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Detection of urban disaster using InSAR. A case study for the 1999 Great Taiwan Earthquake

The authors studied 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. Three temporal ERS-2 SAR data acquired by Taiwan ground station on Jan. 21, May 6, and Sep. 23, i...

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Main Authors: Takeuchi, S., Suga, Y., Yonezawa, C., Chen, A.J.
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Suga, Y.
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Chen, A.J.
description The authors studied 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. Three temporal ERS-2 SAR data acquired by Taiwan ground station on Jan. 21, May 6, and Sep. 23, in 1999 were used as the test data. By overlaying two SAR multi-look intensity images before (May 6) and after (Sep. 23) the earthquake, it was found that the damaged urban areas by the earthquake were hardly detected only by the intensity change. On the other hand, the overlay of the two coherence images from the pairs (Jan.-May) and (May-Sep.) indicated that the urban areas damaged severely (e.g. Dongshi) resulted in clear decrease of coherence by the earthquake occurrence, while the coherence in the urban areas not damaged severely (e.g. Taichung) did not change even after the earthquake. The result of this study suggests that InSAR technology has a great potential for detecting urban disasters by earthquake.
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A case study for the 1999 Great Taiwan Earthquake</title><title>IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)</title><addtitle>IGARSS</addtitle><description>The authors studied 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. Three temporal ERS-2 SAR data acquired by Taiwan ground station on Jan. 21, May 6, and Sep. 23, in 1999 were used as the test data. By overlaying two SAR multi-look intensity images before (May 6) and after (Sep. 23) the earthquake, it was found that the damaged urban areas by the earthquake were hardly detected only by the intensity change. On the other hand, the overlay of the two coherence images from the pairs (Jan.-May) and (May-Sep.) indicated that the urban areas damaged severely (e.g. Dongshi) resulted in clear decrease of coherence by the earthquake occurrence, while the coherence in the urban areas not damaged severely (e.g. Taichung) did not change even after the earthquake. 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By overlaying two SAR multi-look intensity images before (May 6) and after (Sep. 23) the earthquake, it was found that the damaged urban areas by the earthquake were hardly detected only by the intensity change. On the other hand, the overlay of the two coherence images from the pairs (Jan.-May) and (May-Sep.) indicated that the urban areas damaged severely (e.g. Dongshi) resulted in clear decrease of coherence by the earthquake occurrence, while the coherence in the urban areas not damaged severely (e.g. Taichung) did not change even after the earthquake. The result of this study suggests that InSAR technology has a great potential for detecting urban disasters by earthquake.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2000.860512</doi></addata></record>
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subjects Computer aided software engineering
Earthquakes
Image generation
Remote monitoring
Remote sensing
Satellite ground stations
Space technology
Synthetic aperture radar interferometry
Testing
Urban areas
title Detection of urban disaster using InSAR. A case study for the 1999 Great Taiwan Earthquake
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