Seasonal flood monitoring and management of UAV's images-A review

Siti Maryam, Sharun and Saiful Bahri, Mohamed and Khusairi, Osman (2017) Seasonal flood monitoring and management of UAV's images-A review. Journal of Applied Sciences Research, 13 (8). pp. 24-29. ISSN 1819-544X

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Abstract

Seasonal yet prolonged heavy rain in the east coast of Malaysia, particularly in Pahang, Terengganu, and Kelantan, is one of the causes of seasonal flooding. These floods endanger human life and damage public amenities aside from blocking roads, which in turn disrupt telecommunications, transportation, and electricity. With regards to this situation, a few researchers have carried out a study on how to solve these flood-induced problems by using a method that implements unmanned aerial vehicles (UAV) as a tool for collecting information during floods. The purpose of this research was to explore the underlying concepts and techniques of UAV monitoring of flood disasters which would eventually aid respective authorities in making critical decisions. UAVs are entirely different from conventional satellites. It does not only display low-cost high-resolution image acquisition capability but also incur reasonable daily or hourly costs for revisiting the same location in some cases. The captured images would then undergo certain image processing techniques that are used in related fields. The data in that study were analysed to extract and devise plausible solutions in helping the government prevent and mitigate situations from escalating more severely, on top of the pre-existing flood delivery systems developed by the government and other respective authorities for quick recovery. This was the method chosen to carry out the study as means to overcome the limitations during flood occurrences and also intended to reduce losses aside from relaying early warnings of the likelihood of flooding. The monitoring and impact management as conceived from the image processing techniques would indeed assist the government in ensuring swift recovery from the flood delivery systems hence reducing seasonal flood losses.

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