TY - GEN
T1 - Landslide Susceptibility Mapping Using GIS and Weighted Overlay Approach in Selangor River Basin
AU - Legiman, Mariatul Kiftiah Ahmad
AU - Mohamad, Edy Tonnizam
AU - Alias, Nor Eliza
AU - Malek, Marlinda Abdul
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Landslide is a natural occurrence that frequently results in the loss of property and life of those who live in the surrounding area. Landslide susceptibility maps are very important for engineers, geologists, and land use planners for prevention and mitigation of landslide hazard in the area. This study presents landslide susceptibility analysis at Selangor River Basin. In this study, topographical data and remote sensing data were collected and processed using geographic information system (GIS). Five causative factors for landslide occurrence were used for this purpose. The causative factors that influence the landslide occurrence include slope, soil class, lineament density, land cover and land cover, and aspect. These factors were analyzed for construction of thematic data layers. The ArcGIS software's Weighted Overlay Method (WOM) was used to reclassify and overlayer the theme maps. Consequently, a GIS landslide susceptibility map was created. The study area was divided into high, moderate, and low sensitive zones by the susceptibility map. The landslide incidence served as a means of verifying the susceptibility mapping data. The ArcGIS software’s Weighted Overlay Method (WOM) was used to reclassify and overlayer the theme maps. Consequently, a GIS landslide susceptibility map was created. The study area was divided into high, moderate, and low sensitive zones by the susceptibility map. The landslide incidence served as a means of verifying the susceptibility mapping data.
AB - Landslide is a natural occurrence that frequently results in the loss of property and life of those who live in the surrounding area. Landslide susceptibility maps are very important for engineers, geologists, and land use planners for prevention and mitigation of landslide hazard in the area. This study presents landslide susceptibility analysis at Selangor River Basin. In this study, topographical data and remote sensing data were collected and processed using geographic information system (GIS). Five causative factors for landslide occurrence were used for this purpose. The causative factors that influence the landslide occurrence include slope, soil class, lineament density, land cover and land cover, and aspect. These factors were analyzed for construction of thematic data layers. The ArcGIS software's Weighted Overlay Method (WOM) was used to reclassify and overlayer the theme maps. Consequently, a GIS landslide susceptibility map was created. The study area was divided into high, moderate, and low sensitive zones by the susceptibility map. The landslide incidence served as a means of verifying the susceptibility mapping data. The ArcGIS software’s Weighted Overlay Method (WOM) was used to reclassify and overlayer the theme maps. Consequently, a GIS landslide susceptibility map was created. The study area was divided into high, moderate, and low sensitive zones by the susceptibility map. The landslide incidence served as a means of verifying the susceptibility mapping data.
KW - Geographic information system
KW - Landslide susceptibility
KW - Weighted overlay method
UR - https://www.scopus.com/pages/publications/105010627748
U2 - 10.1007/978-981-96-3804-8_53
DO - 10.1007/978-981-96-3804-8_53
M3 - Conference contribution
AN - SCOPUS:105010627748
SN - 9789819638031
T3 - Lecture Notes in Civil Engineering
SP - 589
EP - 599
BT - Proceedings of the Innovative and Sustainable Infrastructure International Convention, ISIIC 2023
A2 - Khandelwal, Manoj
A2 - Mohamad, Edy Tonnizam
A2 - Bhatawdekar, Ramesh
A2 - Armaghani, Danial J.
A2 - Asteris, Panagiotis
A2 - Shek, Poi Ngian
A2 - Ma, Chau Khun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Convention on Innovative and Sustainable Infrastructure, ISIIC 2023
Y2 - 27 November 2023 through 28 November 2023
ER -