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Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

1
SMART Infrastructure Facility, University of Wollongong, Wollongong 2522, NSW, Australia
2
The Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney 2007, NSW, Australia
3
Department of Energy and Mineral Resources Engineering, Sejong University, Choongmu-gwan, 209 Neungdong-ro, Gwangjingu, Seoul 05006, Korea
4
UMR 5505 CNRS-IRIT, Université Toulouse 1 Capitole, 31062 Toulouse, France
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 5012; https://doi.org/10.3390/s19225012
Received: 4 October 2019 / Revised: 4 November 2019 / Accepted: 12 November 2019 / Published: 16 November 2019
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons—an aspect that is under-explored in the literature. View Full-Text
Keywords: remote sensing; flood; disaster management; coastal; environmental sensor network (ESN); IoT; drones; UAV; computer vision; wireless sensor network remote sensing; flood; disaster management; coastal; environmental sensor network (ESN); IoT; drones; UAV; computer vision; wireless sensor network
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Arshad, B.; Ogie, R.; Barthelemy, J.; Pradhan, B.; Verstaevel, N.; Perez, P. Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review. Sensors 2019, 19, 5012.

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