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Airborne Union Observation and Disaster Enhanced Identification of Ms 7.0 Lushan Earthquake |
XU Zhihua1, LIU Chunbo2, WANG Ping3, WANG Qiuling1, LI Fashuai4, WU Lixin1,5 |
1. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;3. Peoples Insurance Company of China, Beijing 100022, China;4. School of Earth Science and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;5. School of Environment Science and Suney, China University of Mining and Technology, Xuzhou 221008, Jiangsu Province, China |
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Abstract: Based on the Manned Aerial Vehicles (MAV) airborne remote sensing images of Sichuan Lushan Ms 7.0 earthquake acquired by the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), an enhanced disaster identification system was developed with Multiple Airborne Sensors Monitoring System(MASMS) supported with low-altitude unmanned aerial vehicles (UAV) sensors. The component of the MASMS and the technical process of the disaster monitoring were introduced. The MAV remote sensing and fixed-wing UAV were applied to joint monitor the disasters in Lushan County, which was badly suffered from Lushan Ms 7.0 earthquake. Taking the remote sensing images acquired by MAV and UAV into consideration synthetically, the details of typical building damage, the distribution of landslides and the destruction of power lines were analyzed comprehensively. The results showed that the MASMS can investigate the disaster situations of major electricity facilities, and meanwhile enhance the ability of disaster identification.
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Received: 26 April 2013
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