Soil erosion risk analysis in landslide zones using remote sensing, GIS and RUSLE
Document Type
Article
Publication Date
1-1-2022
Abstract
The present study was conducted in the Gua Musang of Kelantan state, Peninsular Malaysia. The surface of the terrain is exposed due to anthropogenic and deforestation activities. Soil erosion from exposed surfaces increased the risk and vulnerability of landslides in the study area. Therefore, for soil erosion risk assessment in landslide zones, the objectives are to analyze pixel-based soil erosion risk using Revised universal soil loss equation (RUSLE), remote sensing, and Geographic Information System (GIS). Also, identification of soil erosion conditions in landslide zones. Results showed that very high soil loss in the landslide zone. 42 of the area comes under landslide zones, where 43 of landslide zone area comes under very high soil loss. Whereas, overall very high soil loss in the area is 39. The results also indicated that settlement areas are under landslide zones, which could be at risk. Overall, soil erosion risk analysis in landslide zones using remote sensing, GIS, and RUSLE are useful and important. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
Deforestation, Erosion, Landslides, Project management, Remote sensing, Risk analysis, Risk assessment, Sediment transport, Soils, Structural design, Exposed surfaces, Malaysia, Revised universal soil loss equations, Soil erosion, Soil erosion risk, Soil erosion risk assessment, Soil loss, Study areas, Geographic information systems
Divisions
GEOLOGY
Funders
Universiti Malaya,GPF017B-2018
Publication Title
Lecture Notes in Civil Engineering
Volume
171
Publisher
Springer Science and Business Media Deutschland GmbH
Additional Information
Cited by: 0; Conference name: International Conference on Structural Engineering and Construction Management, SECON 2021; Conference date: 12 May 2021 through 15 May 2021; Conference code: 264909