Share Email Print
cover

Proceedings Paper

The application of unmanned aerial vehicle remote sensing for monitoring secondary geological disasters after earthquakes
Author(s): Tianjie Lei; Yazhen Zhang; Xingyong Wang; Jun’e Fu; Lin Li; Zhiguo Pang; Xiaolei Zhang; Guangyuan Kan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Remote sensing system fitted on Unmanned Aerial Vehicle (UAV) can obtain clear images and high-resolution aerial photographs. It has advantages of strong real-time, flexibility and convenience, free from influence of external environment, low cost, low-flying under clouds and ability to work full-time. When an earthquake happened, it could go deep into the places safely and reliably which human staff can hardly approach, such as secondary geological disasters hit areas. The system can be timely precise in response to secondary geological disasters monitoring by a way of obtaining first-hand information as quickly as possible, producing a unique emergency response capacity to provide a scientific basis for overall decision-making processes. It can greatly enhance the capability of on-site disaster emergency working team in data collection and transmission. The great advantages of UAV remote sensing system played an irreplaceable role in monitoring secondary geological disaster dynamics and influences. Taking the landslides and barrier lakes for example, the paper explored the basic application and process of UAV remote sensing in the disaster emergency relief. UAV high-resolution remote sensing images had been exploited to estimate the situation of disaster-hit areas and monitor secondary geological disasters rapidly, systematically and continuously. Furthermore, a rapid quantitative assessment on the distribution and size of landslides and barrier lakes was carried out. Monitoring results could support relevant government departments and rescue teams, providing detailed and reliable scientific evidence for disaster relief and decision-making.

Paper Details

Date Published: 21 July 2017
PDF: 7 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203H (21 July 2017); doi: 10.1117/12.2281909
Show Author Affiliations
Tianjie Lei, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower Research (China)
Yazhen Zhang, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower Research (China)
Xingyong Wang, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)
Jun’e Fu, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)
Lin Li, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)
Zhiguo Pang, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)
Xiaolei Zhang, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)
Guangyuan Kan, State Key Lab. of Simulation and Regulation of Water Cycle in River Basin (China)
China Institute of Water Resources and Hydropower (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top