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

Bilal Arshad1, Robert Ogie1, Johan Barthelemy1

  • 1SMART Infrastructure Facility, University of Wollongong, Wollongong 2522, NSW, Australia.

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Summary

This review explores how Internet-of-Things (IoT) sensors and computer vision enhance flood monitoring and mapping. It highlights techniques for real-time data, early warning systems, and suggests future research, especially for coastal lagoons.

Keywords:
IoTUAVcoastalcomputer visiondisaster managementdronesenvironmental sensor network (ESN)floodremote sensingwireless sensor network

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Area of Science:

  • Environmental Science
  • Computer Science
  • Civil Engineering

Background:

  • Floods are frequent natural hazards causing significant global deaths and financial losses.
  • Improved flood risk management is crucial due to increasing impacts.
  • Recent advancements in Internet-of-Things (IoT) and computer vision offer new solutions for flood management.

Purpose of the Study:

  • To systematically review literature on IoT sensors and computer vision for flood monitoring and mapping.
  • To identify key computer vision techniques and IoT sensor approaches used in flood management.
  • To provide recommendations for future research, focusing on under-explored areas like coastal lagoons.

Main Methods:

  • Systematic literature review.
  • Analysis of computer vision techniques (e.g., image processing, object detection).
  • Evaluation of IoT sensor data applications (e.g., water level estimation, real-time monitoring).

Main Results:

  • Identified various computer vision and IoT sensor techniques for real-time flood monitoring, modeling, and mapping.
  • Highlighted the role of these technologies in developing effective early warning systems.
  • Showcased applications in estimating water levels for better flood assessment.

Conclusions:

  • IoT sensors and computer vision significantly improve flood monitoring and management capabilities.
  • There is a need for further research to optimize these technologies, particularly for complex environments like coastal lagoons.
  • Integrated approaches combining IoT and computer vision are essential for enhanced flood resilience.