DocumentCode :
2453710
Title :
High-resolution remote sensing image disaster emergency investigation and analysis
Author :
Xue, Dongjian ; He, Zhengwei ; Tao, Shu
Author_Institution :
State Key Lab. of Geohazard Prevention & Geoenvironment Protection, Chengdu, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
3195
Lastpage :
3197
Abstract :
A strong earthquake will cause a large number of residential damage, casualties, severely holding back regional economic development. Rapid extraction of information on disasters is critical to acquire the disaster index and disaster assessment, and emergency rapid response can be effective in reducing seismic disaster losses and casualties. Beijing April 14, 2010, Yushu County, Yushu Tibetan Autonomous Prefecture in Qinghai Province, 7.1 magnitude earthquake occurred, as a result of high elevation and strong rainfall after the earthquake, dangerous roads is difficult to walk, even most of the sections of interruption, so it is very difficult for the rescue and assessment. Based on the experience of “5.12” earthquake damage assessment in the paper, to earthquake-stricken areas as the study area of Yushu, a survey and analysis of damaged residential is carried out, to provide technical support for earthquake relief, and it is important reference to damage assessment, post-disaster reconstruction due to similar disasters in the future.
Keywords :
disasters; earthquakes; geophysical image processing; rain; remote sensing; seismology; AD 2010 04 14; Beijing; China; Qinghai Province; Yushu County; Yushu Tibetan Autonomous Prefecture; disaster assessment; disaster index; earthquake damage assessment; earthquake relief; emergency rapid response; high-resolution remote sensing image disaster emergency investigation; post-disaster reconstruction; regional economic development; residential damage; seismic disaster casualties; seismic disaster losses; strong rainfall; Buildings; Earthquakes; Economics; Remote sensing; Rivers; Roads; Satellites; disasters; investigation; remote sensing image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964993
Filename :
5964993
Link To Document :
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