DocumentCode :
3341836
Title :
Study on road damage assessment based on RS and GIS
Author :
Li, Jun ; QIN, Qiming ; Ma, Haijian ; Yuan, Weilin
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4534
Lastpage :
4537
Abstract :
After the occurrence of natural disasters, objective and accurate assessment of road damage is the key to emergency rescue. However, in the traditional road damage assessment, the assessment factor and the form of assessment result are single. It can only give an overview of damaged roads, but can´t further provide their traffic capacities, which are essential for the disaster relief department. A new approach of road damage assessment is presented in this paper. The damage levels are graded based on the magnitude of actual traffic capacities of post-disaster roads, and the detailed damage information is output at three levels - damage block level, single-road level and region level. The proposed method is applied in the damage assessment of roads in Wenchuan County, China, which was hit by an 8.0-magnitude earthquake. The experimental result shows the validity of this method.
Keywords :
disasters; earthquakes; emergency services; geographic information systems; geophysical image processing; road traffic; structural engineering computing; China; GIS; Wenchuan County; assessment factor; damage block level; damage level; disaster relief; earthquake damage evaluation; emergency rescue; natural disaster; post-disaster road; remote sensing; road damage assessment; single-road level; traffic capacity; Accuracy; Earthquakes; Indexes; Object oriented modeling; Pixel; Remote sensing; Roads; Earthquake damage evaluation; Remote sensing; Road damage assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5651949
Filename :
5651949
Link To Document :
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