DocumentCode
1997390
Title
Practical application of unmanned aerial vehicles for mountain hazards survey
Author
Lin, Jiayuan ; Tao, Heping ; Wang, Yangchun ; Huang, Zhou
Author_Institution
Inst. of Mountain Hazards & Environ., Chinese Acad. of Sci., Chengdu, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
5
Abstract
Mountain disasters like landslides occur frequently in Southwest China. Hence, it is urgent to timely conduct geological survey in disastrous region and take necessary measures to treat identified hazards. Field survey is reliable but too expensive and time-consuming. Satellite or manned aerial remote sensing have the advantages of region-scale coverage and moderate timeliness, but restricted by the factors of mist, image resolution, human safety, and cost. Unmanned Aerial Vehicle (UAV) remote sensing is a very promising approach for rapid disaster investigation in regional scope, as giving consideration to both accuracy and spatial coverage. In this paper, we demonstrate our practice and experiences in applying UAVs in the survey of mountain hazards from the aspects of UAV customization and modification, UAV image pre-processing, and UAV imagery Interpretation.
Keywords
disasters; geomorphology; geophysical image processing; geophysics computing; photogrammetry; remote sensing; remotely operated vehicles; Southwest China; disastrous region; field survey; geological survey; human safety; image resolution; landslides; manned aerial remote sensing; mist; mountain disasters; mountain hazards survey; region-scale coverage; satellite remote sensing; spatial coverage; unmanned aerial vehicle image preprocessing; unmanned aerial vehicle imagery interpretation; unmanned aerial vehicle remote sensing; Accuracy; Image resolution; Irrigation; Navigation; Payloads; Unmanned aerial vehicles; Mountain Hazards Survey; Remote Sensing; Southwest China; Unmanned Aerial Vehicle (UAV);
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5567777
Filename
5567777
Link To Document