Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS
The main purpose of this paper is to assess and predict soil erosion and its dynamism observation at Kuala Lumpur metropolitan city using universal soil loss equation (USLE). To acquire USLE factors, multi-source datasets such as rainfall data of the past 20 years, DEM map, SPOT5 image and geologica...
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| Format: | Article |
| Language: | English |
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Taylor and Francis
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35429/ http://psasir.upm.edu.my/id/eprint/35429/1/Spatio%20temporal%20assessment%20of%20soil%20erosion%20at%20Kuala%20Lumpur%20metropolitan%20city%20using%20remote%20sensing%20data%20and%20GIS.pdf |
| _version_ | 1848848052324925440 |
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| author | Khosrokhani, Maryam Pradhan, Biswajeet |
| author_facet | Khosrokhani, Maryam Pradhan, Biswajeet |
| author_sort | Khosrokhani, Maryam |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The main purpose of this paper is to assess and predict soil erosion and its dynamism observation at Kuala Lumpur metropolitan city using universal soil loss equation (USLE). To acquire USLE factors, multi-source datasets such as rainfall data of the past 20 years, DEM map, SPOT5 image and geological map of the study area were used to calculate spatial soil erosion of Kuala Lumpur metropolitan city. Results indicated that the highest spatial coverage (61.9%) occurred in very low and the lowest spatial coverage (3.8%) in severe soil loss class. Furthermore, a landslide inventory map of the same area was overlaid on the resultant soil erosion layer to demonstrate their correlation. A frequency ratio (FR) method was applied to determine the relationship between occurred landslides and each soil erosion class. The results indicated that the highest and the lowest FR equal to 0.8 and 2.1 and observed in very low and severe soil loss classes, respectively. Temporal assessment of soil erosion indicated that there is a decrement of soil loss content in severe class from 2000 to 2010. The result of the prognosis analysis showed that the spatial coverage of the study area in severe soil loss class equals to 48%. This result proved the significance of land use/land cover to curb soil erosion. The resultant maps may help the planners and managers to take proper decision for the conservation of soil as a noteworthy natural resource. |
| first_indexed | 2025-11-15T09:28:22Z |
| format | Article |
| id | upm-35429 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:28:22Z |
| publishDate | 2014 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-354292018-01-17T07:33:06Z http://psasir.upm.edu.my/id/eprint/35429/ Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS Khosrokhani, Maryam Pradhan, Biswajeet The main purpose of this paper is to assess and predict soil erosion and its dynamism observation at Kuala Lumpur metropolitan city using universal soil loss equation (USLE). To acquire USLE factors, multi-source datasets such as rainfall data of the past 20 years, DEM map, SPOT5 image and geological map of the study area were used to calculate spatial soil erosion of Kuala Lumpur metropolitan city. Results indicated that the highest spatial coverage (61.9%) occurred in very low and the lowest spatial coverage (3.8%) in severe soil loss class. Furthermore, a landslide inventory map of the same area was overlaid on the resultant soil erosion layer to demonstrate their correlation. A frequency ratio (FR) method was applied to determine the relationship between occurred landslides and each soil erosion class. The results indicated that the highest and the lowest FR equal to 0.8 and 2.1 and observed in very low and severe soil loss classes, respectively. Temporal assessment of soil erosion indicated that there is a decrement of soil loss content in severe class from 2000 to 2010. The result of the prognosis analysis showed that the spatial coverage of the study area in severe soil loss class equals to 48%. This result proved the significance of land use/land cover to curb soil erosion. The resultant maps may help the planners and managers to take proper decision for the conservation of soil as a noteworthy natural resource. Taylor and Francis 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/35429/1/Spatio%20temporal%20assessment%20of%20soil%20erosion%20at%20Kuala%20Lumpur%20metropolitan%20city%20using%20remote%20sensing%20data%20and%20GIS.pdf Khosrokhani, Maryam and Pradhan, Biswajeet (2014) Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS. Geomatics, Natural Hazards and Risk, 5 (3). pp. 252-270. ISSN 1947-5705; ESSN: 1947-5713 http://www.tandfonline.com/doi/abs/10.1080/19475705.2013.794164 10.1080/19475705.2013.794164 |
| spellingShingle | Khosrokhani, Maryam Pradhan, Biswajeet Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title | Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title_full | Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title_fullStr | Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title_full_unstemmed | Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title_short | Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS |
| title_sort | spatio-temporal assessment of soil erosion at kuala lumpur metropolitan city using remote sensing data and gis |
| url | http://psasir.upm.edu.my/id/eprint/35429/ http://psasir.upm.edu.my/id/eprint/35429/ http://psasir.upm.edu.my/id/eprint/35429/ http://psasir.upm.edu.my/id/eprint/35429/1/Spatio%20temporal%20assessment%20of%20soil%20erosion%20at%20Kuala%20Lumpur%20metropolitan%20city%20using%20remote%20sensing%20data%20and%20GIS.pdf |