Assessment on recent landslide susceptibility mapping methods: A review
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 susceptibi...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2022
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| Online Access: | http://eprints.utm.my/98532/1/AhmadSafuan2022_AssessmentonRecentLandslideSusceptibilityMappingMethods.pdf |
| _version_ | 1796866639351775232 |
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| author | Manan, W. A. A. Rashid, A. S. A. Abdul Rahman, M. Z. A. Khanan, M. F. A. |
| author_facet | Manan, W. A. A. Rashid, A. S. A. Abdul Rahman, M. Z. A. Khanan, M. F. A. |
| author_sort | Manan, W. A. A. |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:15:10Z |
| format | Conference or Workshop Item |
| id | utm.eprints-98532 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:15:10Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-985322023-01-12T08:59:07Z http://eprints.utm.my/98532/ Assessment on recent landslide susceptibility mapping methods: A review Manan, W. A. A. Rashid, A. S. A. Abdul Rahman, M. Z. A. Khanan, M. F. A. TA Engineering (General). Civil engineering (General) 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. 2022 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/98532/1/AhmadSafuan2022_AssessmentonRecentLandslideSusceptibilityMappingMethods.pdf 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. http://dx.doi.org/10.1088/1755-1315/971/1/012032 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Manan, W. A. A. Rashid, A. S. A. Abdul Rahman, M. Z. A. Khanan, M. F. A. Assessment on recent landslide susceptibility mapping methods: A review |
| title | Assessment on recent landslide susceptibility mapping methods: A review |
| title_full | Assessment on recent landslide susceptibility mapping methods: A review |
| title_fullStr | Assessment on recent landslide susceptibility mapping methods: A review |
| title_full_unstemmed | Assessment on recent landslide susceptibility mapping methods: A review |
| title_short | Assessment on recent landslide susceptibility mapping methods: A review |
| title_sort | assessment on recent landslide susceptibility mapping methods a review |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/98532/1/AhmadSafuan2022_AssessmentonRecentLandslideSusceptibilityMappingMethods.pdf |
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