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Original Articles

Dynamic analysis of the Wenchuan Earthquake disaster and reconstruction with 3-year remote sensing data

, , , , , , & show all
Pages 355-364 | Received 05 Jun 2010, Published online: 25 Nov 2010
 

Abstract

Earth observation is an effective technique that plays an important role in earthquake damage reduction and reconstruction. This paper introduces the results of dynamic analysis on monitoring and assessing heavily impacted areas affected by the Wenchuan Earthquake using remote sensing data acquired in the past 3 years from 2008 to 2010. Immediately after the disaster on 12 May 2008, the Chinese Academy of Sciences launched a project entitled ‘Wenchuan Earthquake Disasters Monitoring and Assessment Using Remote Sensing Technology.’ More than 400 images from 17 satellites and 20.2TB airborne remote sensing data were acquired to facilitate quick monitoring and evaluation of severely damaged areas in 14 counties. Results of the image analyses were forwarded on a timely basis to assist with consultative service and decision-making support. In subsequent years, in order to monitor the process of environmental restoration and reconstruction, airborne optical remote sensing images covering most of the severely damaged areas were again acquired in May 2009 and April 2010. These images were analyzed and compared along with images from 2008. Results were useful in support of further work on environmental protection and reconstruction in earthquake-damaged areas. Three typical areas were selected for illustrative purposes including Tangjiashan Barrier Lake, Beichuan County, and counties of Yingxiu and the new Beichuan. These results well demonstrate the importance and effectiveness of the utility of earth observation for disaster mitigation and reconstruction.

Acknowledgements

The authors would like to thank all of the team members who participated in the Wenchuan Earthquake Disaster Reconstruction, Monitoring and Assessment Using Remote Sensing Technology. This research is supported by National Basic Research Program of China (973 Program, Nos. 2009CB723906, 2009CB723902) and National 863 Program (2009AA12Z102).

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