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Journal of Applied Sciences

Year: 2012 | Volume: 12 | Issue: 9 | Page No.: 802-808
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Authors

Mutasem Sh. Alkhasawneh

Umi Kalthum Bt Ngah

Tay Lea Tien

Nor Ashidi Bin Mat Isa

Keywords

Landslides continue to be one of the worst nature disasters around the world. Worldwide, landslide causes billion of dollars in damage and claim as many as thousands of lives each year. To date, there is no specific methodology for assessment and prediction pattern of landslide to occur because the nature of earth is not the same and the factors triggering the land slide is not consistent. However, qualitative and quantitative methods have been used to detect and predict landslide. The goal of this review paper is to discuss the quantitative methods which involve neural network and fuzzy logic approach that have been proposed, designed and developed by previous researchers in order to overcome the drawbacks of landslide mapping. These techniques may assist geologist, construction companies and the emergency department in detecting the landslide and alerting awareness.
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