Drone-based Water Level Detection in Flood Disasters

Journal · 2021

Drone-based Water Level Detection in Flood Disasters

Keywords

DroneFloodwater level detection

Hamada Rizk , Nishimura , Hirozumi Yamaguchi , Teruo Higashino

International Journal of Environmental Research and Public Health (Q2)

Research Note

Japan was hit by typhoon Hagibis, which came with torrential rains submerging almost eight-thousand buildings. For fast alleviation of and recovery from flood damage, a quick, broad, and accurate assessment of the damage situation is required. Image analysis provides a much more feasible alternative than on-site sensors due to their installation and maintenance costs. Nevertheless, most state-of-art research relies on only ground-level images that are inevitably limited in their field of vision. This paper presents a water level detection system based on aerial drone-based image recognition.

Published Papers


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DOI 10.1109/SmartComp69968.2026.00029

Urban Air MobilityUAM +2

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2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), SPT-IoT 2026, pp. 1366–1371

DOI 10.1109/PerComWorkshops68308.2026.11585469

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2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerconAI 2026, pp. 1203–1208

DOI 10.1109/PerComWorkshops68308.2026.11585419

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DOI 10.1109/PerComWorkshops68308.2026.11585337

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2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerVehicle , pp. 230–235

DOI 10.1109/PerComWorkshops68308.2026.11585321

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DOI 10.1109/PerComWorkshops68308.2026.11585327

ISACBeyond 5G +4