Anees, Mohd Talha and Abu Bakar, Ahmad Farid and Zaid, Mohammad (2022) Soil erosion risk analysis in landslide zones using remote sensing, GIS and RUSLE. Lecture Notes in Civil Engineering, 171. 781 – 790. ISSN 2366-2557, DOI https://doi.org/10.1007/978-3-030-80312-4_67.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya, GPF017B-2018 |
| 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 |
| Uncontrolled 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 |
| Subjects: | Q Science > QE Geology |
| Divisions: | Faculty of Science > Department of Geology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 19 Nov 2023 01:32 |
| Last Modified: | 19 Nov 2023 01:32 |
| URI: | http://eprints.um.edu.my/id/eprint/43201 |
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