Geographical Information System (GIS)-Based Landslide Susceptibility Mapping in Malaysia: A Review of Past, Current and Future Trends

Authors

  • Tharshini Murthy School of Distance Education, Universiti Sains Malaysia, Penang, Malaysia
  • Izham Mohamad Yusoff School of Distance Education, Universiti Sains Malaysia, Penang, Malaysia; *Corresponding Author
  • Siti Hamsah Samsudin School of Distance Education, Universiti Sains Malaysia, Penang, Malaysia
  • Taksiah A. Majid School of Civil Engineering, Universiti Sains Malaysia, Penang, Malaysia
  • Ismail Ahmad Abir School of Physics, Universiti Sains Malaysia, Penang, Malaysia
  • Chan Huah Yong School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
  • Mohd Ashraf Mohamad Ismail School of Civil Engineering, Universiti Sains Malaysia, Penang, Malaysia

DOI:

https://doi.org/10.36941/ajis-2023-0069

Keywords:

Landslide susceptibility mapping, GIS, Malaysia, landslide hazard, landslide risk, landslide models

Abstract

Landslides are very serious natural disasters that cause much damage and threaten human lives. Landslide susceptibility mapping studies are very common in landslide assessments. Geographic information systems (GISs) have been widely used in many fields, especially in landslide studies. This paper provides a review of GIS-based landslide susceptibility mapping in Malaysia from 2000 to 2022 and analyses the number of publications, study areas involved, parameters and models applied in this field over the past 22 years. The number of publications based on the topic shows an increasing trend, with an average of 2 articles published every year. This paper focused on Malaysia’s territory only. The study areas involved in landslide susceptibility studies are Penang, Perak, Selangor, Sabah, Sarawak, Pahang, Kelantan and Kuala Lumpur. Pahang is the study area of the most articles (10), followed by Penang (8). Moreover, 21 parameters were identified, and the slope was the most used parameter (33 articles). Twenty-five models were used, and logistic regression was the most used model, followed by the frequency ratio, ANN and weighted overlay methods.

 

Received: 24 January 2023 / Accepted: 22 April 2023 / Published: 5 May 2023

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Published

05-05-2023

Issue

Section

Research Articles

How to Cite

Geographical Information System (GIS)-Based Landslide Susceptibility Mapping in Malaysia: A Review of Past, Current and Future Trends. (2023). Academic Journal of Interdisciplinary Studies, 12(3), 162. https://doi.org/10.36941/ajis-2023-0069