Next Article in Journal
Pressure Sensor via Optical Detection Based on a 1D Spin Transition Coordination Polymer
Next Article in Special Issue
Efficient Evaluation of Wireless Real-Time Control Networks
Previous Article in Journal
A High-Throughput Oxidative Stress Biosensor Based on Escherichia coli roGFP2 Cells Immobilized in a k-Carrageenan Matrix
Article Menu

Export Article

Open AccessArticle

Cyber Surveillance for Flood Disasters

National Center for High-Performance Computing, No. 7, R&D 6th Rd., Hsinchu Science Park, Hsinchu City 30076, Taiwan
Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan
Author to whom correspondence should be addressed.
Sensors 2015, 15(2), 2369-2387;
Received: 17 November 2014 / Accepted: 12 January 2015 / Published: 22 January 2015
(This article belongs to the Special Issue Cyber-Physical Systems)
PDF [1946 KB, uploaded 22 January 2015]


Regional heavy rainfall is usually caused by the influence of extreme weather conditions. Instant heavy rainfall often results in the flooding of rivers and the neighboring low-lying areas, which is responsible for a large number of casualties and considerable property loss. The existing precipitation forecast systems mostly focus on the analysis and forecast of large-scale areas but do not provide precise instant automatic monitoring and alert feedback for individual river areas and sections. Therefore, in this paper, we propose an easy method to automatically monitor the flood object of a specific area, based on the currently widely used remote cyber surveillance systems and image processing methods, in order to obtain instant flooding and waterlogging event feedback. The intrusion detection mode of these surveillance systems is used in this study, wherein a flood is considered a possible invasion object. Through the detection and verification of flood objects, automatic flood risk-level monitoring of specific individual river segments, as well as the automatic urban inundation detection, has become possible. The proposed method can better meet the practical needs of disaster prevention than the method of large-area forecasting. It also has several other advantages, such as flexibility in location selection, no requirement of a standard water-level ruler, and a relatively large field of view, when compared with the traditional water-level measurements using video screens. The results can offer prompt reference for appropriate disaster warning actions in small areas, making them more accurate and effective. View Full-Text
Keywords: flood; first warning; early warning system; image segmentation; video surveillance flood; first warning; early warning system; image segmentation; video surveillance
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lo, S.-W.; Wu, J.-H.; Lin, F.-P.; Hsu, C.-H. Cyber Surveillance for Flood Disasters. Sensors 2015, 15, 2369-2387.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top