Back to Search Start Over

Development of an UAS for post-earthquake disaster surveying and its application in Ms7.0 Lushan Earthquake, Sichuan, China.

Authors :
Xu, Zhiqiang
Yang, Jiansi
Peng, Chaoyong
Wu, Ying
Jiang, Xudong
Li, Rui
Zheng, Yu
Gao, Yu
Liu, Sha
Tian, Baofeng
Source :
Computers & Geosciences. Jul2014, Vol. 68, p22-30. 9p.
Publication Year :
2014

Abstract

Abstract: The main objective of early impact analysis after a disaster is to produce georeferenced data about the affected areas, in support of humanitarian action. Crucial information is the identification of the disaster areas and the estimation of the number of people involved. Satellite imageries are mainly used as input data for early impact analysis in medium and large scale map. Analyses aimed at defining the damages of infrastructure and/or to facilities require suitable data, such as high resolution satellite images. Unfortunately, satellite images are not always available in a few days after the event. Therefore in situ surveys are preferred. Innovations in Unmanned Aircraft System (UAS) have allowed them to become valuable tools in capturing and assessing the extents and amount of damages. Flexibility, safety, ease of operation, and relatively low-cost of ownership and operation facilitate UAS implementation in disaster situations. In this paper, an example of UAS was developed for rapidly obtaining disaster information. Data acquisition at specified scales was successfully performed with the chosen fixed-wing UAS. For the image analysis, a photogrammetric workflow was applied to cope with the very high resolution of the images acquired without ground control points. Tests showed that the system plays an important role in the work of investigating and gathering information about disaster in epicentral areas of the earthquake, such as road detection, secondary disaster investigation, and rapid disaster evaluation. It can effectively provide earthquake information to salvation headquarters for swiftly developing the relief measures and improving the efficiency of emergency rescue. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00983004
Volume :
68
Database :
Academic Search Index
Journal :
Computers & Geosciences
Publication Type :
Academic Journal
Accession number :
96026855
Full Text :
https://doi.org/10.1016/j.cageo.2014.04.001