Special Section on Remote Sensing of the Wenchuan Earthquake

Three-dimensional visualization simulation assessment system based on multi-source data fusion for the Wenchuan earthquake

[+] Author Affiliations
Xiangtao Fan, Xiaoping Du, Jian Tan, Junjie Zhu

Chinese Academy of Sciences, Earth Observation and Digital Earth Sciences, Postbox #9718 Daqtun Road, Chaoyang District, Beijing, Beijing 100101 China

J. Appl. Remote Sens. 3(1), 031640 (May 26, 2009). doi:10.1117/1.3154425
History: Received November 1, 2008; Revised May 15, 2009; Accepted May 15, 2009; May 26, 2009; Online May 26, 2009
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Abstract

We have developed a visual three-dimensional simulation and assessment system of the Wenchuan earthquake zone using the Digital Earth concept and highly efficient spatial information visualization technology. Our goal is to provide a foundation for earthquake disaster relief and reconstruction. A number of major collapses, landslides, mud-rock flows and other geological disasters are analysed in the system, and the system can be used to monitor and analyse earthquake relief, rescue and insurance to provide first-hand source material for disaster situation assessment. Multi-sensor, multi-temporal, multi-resolution remote sensing data and multi-scale DEM data are integrated into this system, and produce a sequence of comprehensive resolution datasets. We present management methods for a dynamic multi-resolution terrain model and multi-level scene. These methods are based on the model division, delaminating algorithm, and make use of high-speed buffering mechanisms to achieve a multi-level large-scale real-time rendering of scenes in the disaster areas, which also effectively reduces the rendering delay, and achieves smooth, seamless roaming at different model levels.

© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Xiangtao Fan ; Xiaoping Du ; Jian Tan and Junjie Zhu
"Three-dimensional visualization simulation assessment system based on multi-source data fusion for the Wenchuan earthquake", J. Appl. Remote Sens. 3(1), 031640 (May 26, 2009). ; http://dx.doi.org/10.1117/1.3154425


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