Manan, W. A. A. and Rashid, A. S. A. and Abdul Rahman, M. Z. A. and Khanan, M. F. A. (2022) Assessment on recent landslide susceptibility mapping methods: A review. In: 12th International Conference on Geotechnical Engineering in Tropical Regions: Fostering Future Through Geotechnical, Sustainable Engineering and Technology, GEOTROPIKA 2021 and 2nd International Conference on Highway and Transportation Engineering, 21 - 22 September 2021, Semarang, Virtual.
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Official URL: http://dx.doi.org/10.1088/1755-1315/971/1/012032
Abstract
Landslide is a destructive natural hazard that causes severe property loss and loss of lives. Numerous researchers have developed landslide susceptibility maps in order to forecast its occurrence, particularly in hill-site development. Various quantitative approaches are used in landslide susceptibility map production, which can be classified into three categories; statistical data mining, machine learning and deterministic approach. In this paper, we choose two regular models in each category, which are Weight of Evidence (WoE) and Frequency Ratio (FR), Artificial Neutral Networks (ANN) and Support Vector Machines (SVM), Shallow Landsliding Stability Model (SHALSTAB) and YonSei-Slope (YS-Slope). Discussion and assessment on these models are based on relevant literature.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | landslide susceptibility, Weight of Evidence (WoE), Frequency Ratio (FR) |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Civil Engineering |
| ID Code: | 98532 |
| Deposited By: | Widya Wahid |
| Deposited On: | 12 Jan 2023 08:59 |
| Last Modified: | 12 Jan 2023 08:59 |
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