Paper
9 October 2009 Mapping earthquake-induced damage of the Wenchuan earthquake using SAR data
Yunhua Liu, Xinjian Shan, Chunyan Qu, Xiaogang Song, Guifang Zhang
Author Affiliations +
Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 74711C (2009) https://doi.org/10.1117/12.836312
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China
Abstract
Due to the adverse weather condition such as raining after the Wenchuan earthquake, the applicability of optical imagery in decision making for mitigating earthquake disasters had been highly restricted. As a synthetic aperture radar (SAR) sensor possesses all-weather imaging capability, SAR imagery emerges as a very important data source for earthquake rescue operation at the earlier stage. This paper utilizes 4 pairs of ENVISAT ASAR images (3 pre-earthquake, 1 postearthquake) to perform ratio coherence change detection by comparing pre-seismic between post-seismic images over Dujiangyan City and its neighboring areas. The testing results indicate that the interferometric coherence map is sensitive to physical surface changes and show that there were significant changes within the urban area and the main shock had caused substantial damage. This study demonstrates that it is feasible to use SAR images to conduct damage assessment. With the polarization radar technology becoming more sophisticated, radar satellites in decision making for disaster rescue will play more and more important role.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunhua Liu, Xinjian Shan, Chunyan Qu, Xiaogang Song, and Guifang Zhang "Mapping earthquake-induced damage of the Wenchuan earthquake using SAR data", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74711C (9 October 2009); https://doi.org/10.1117/12.836312
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Earthquakes

Coherence (optics)

Synthetic aperture radar

Interferometry

Radar

Satellites

Earth observing sensors

Back to Top