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Title: Identification of rain cloud amount, rain intensity and possible chance of flooding using image processing and fuzzy logic
Authors: Miguel Joseph L. Jacoba, Edwin R. Arboleda
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2019
Volume: 14
Issue: 14
Language: English
Tropical cyclones are the most powerful storm of all. These storms bring strong winds and large amount of rain which cause devastation in its affected areas. The rainfall amount of these weather disturbances can cause flooding, landslides, overflowing of rivers and dams and mudslide. Forecasting these weather disturbances is an important tool to save lives and properties in affected areas. To completely analyze the storm’s rainfall amount and intensity, an image processing technique is usually used by most meteorologists. The image processing technique can identify the intensity, size, and rainfall amount of the storm. The fuzzy logic on the other hand gives result based on rules made by the user. The fuzzy logic is also an important tool in identifying the chance of flooding in a specific area. In this paper the image processing and fuzzy logic are demonstrated in the software named MATLAB. In image processing, the amount of white colors which identifies the amount of rain clouds is counted using white color detection technique and the intensity of rain is counted using complemented gray scale in MATLAB. The results are then plugged into the fuzzy logic which outputs the possible chance of flooding.
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