Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique
Runoff causes soil loss and is a continuous ecological problem in Seremban, Malaysia. It is crucial to collect data on soil loss for improved agricultural productivity and to manage natural resources effectively. This research maps the distribution and estimates the yearly mean value of soil erosion...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72617/ http://psasir.upm.edu.my/id/eprint/72617/1/Estimation%20of%20soil%20loss%20in%20Seremban.pdf |
| _version_ | 1848857162469605376 |
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| author | Ahmed Alsalhin, Goma Bedawi Mohamed Shariff, Abdul Rashid Balasundram, Siva Kumar Abdullah, Ahmad Fikri |
| author_facet | Ahmed Alsalhin, Goma Bedawi Mohamed Shariff, Abdul Rashid Balasundram, Siva Kumar Abdullah, Ahmad Fikri |
| author_sort | Ahmed Alsalhin, Goma Bedawi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Runoff causes soil loss and is a continuous ecological problem in Seremban, Malaysia. It is crucial to collect data on soil loss for improved agricultural productivity and to manage natural resources effectively. This research maps the distribution and estimates the yearly mean value of soil erosion through the utilization of techniques of remote sensing and GIS by implementing the Revised Universal Soil Equation (RUSLE). To determine the variables of RUSLE's soil loss and analyze them in an integrated GIS environment, we used a scale of 1:50,000 according to criteria of topographic map, Aster Digital Elevation Model (DEM) which has a feature of spatial resolution that extends up to 20 m, a soil map which is digitally programmed with a scale of 1:250,000, and a decade of rainfall records for 12 stations. The data revealed that Seremban records an annual soil loss that ranges from no soil loss in forested areas (Lenggeng - Panti - Ampangan - Seremban) to >100 tone hectare per year in the open area ((Labu - Renggam - Lenggeng). The total annual soil loss is estimated at 883 tonnes/hectare/year and is distributed across different land cover as follows: 198 tonnes from agriculture areas, 39 tonnes from forest areas, and 20.45 from rural areas, 610 tonnes from open area, 12 tonnes from urban areas, and 1.4 tonnes from inland water areas. |
| first_indexed | 2025-11-15T11:53:10Z |
| format | Article |
| id | upm-72617 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:53:10Z |
| publishDate | 2018 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-726172020-11-12T03:10:27Z http://psasir.upm.edu.my/id/eprint/72617/ Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique Ahmed Alsalhin, Goma Bedawi Mohamed Shariff, Abdul Rashid Balasundram, Siva Kumar Abdullah, Ahmad Fikri Runoff causes soil loss and is a continuous ecological problem in Seremban, Malaysia. It is crucial to collect data on soil loss for improved agricultural productivity and to manage natural resources effectively. This research maps the distribution and estimates the yearly mean value of soil erosion through the utilization of techniques of remote sensing and GIS by implementing the Revised Universal Soil Equation (RUSLE). To determine the variables of RUSLE's soil loss and analyze them in an integrated GIS environment, we used a scale of 1:50,000 according to criteria of topographic map, Aster Digital Elevation Model (DEM) which has a feature of spatial resolution that extends up to 20 m, a soil map which is digitally programmed with a scale of 1:250,000, and a decade of rainfall records for 12 stations. The data revealed that Seremban records an annual soil loss that ranges from no soil loss in forested areas (Lenggeng - Panti - Ampangan - Seremban) to >100 tone hectare per year in the open area ((Labu - Renggam - Lenggeng). The total annual soil loss is estimated at 883 tonnes/hectare/year and is distributed across different land cover as follows: 198 tonnes from agriculture areas, 39 tonnes from forest areas, and 20.45 from rural areas, 610 tonnes from open area, 12 tonnes from urban areas, and 1.4 tonnes from inland water areas. IOP Publishing 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72617/1/Estimation%20of%20soil%20loss%20in%20Seremban.pdf Ahmed Alsalhin, Goma Bedawi and Mohamed Shariff, Abdul Rashid and Balasundram, Siva Kumar and Abdullah, Ahmad Fikri (2018) Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique. IOP Conference Series: Earth and Environmental Science, 169. pp. 1-10. ISSN 1755-1307; ESSN: 1755-1315 https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012062 10.1088/1755-1315/169/1/012062 |
| spellingShingle | Ahmed Alsalhin, Goma Bedawi Mohamed Shariff, Abdul Rashid Balasundram, Siva Kumar Abdullah, Ahmad Fikri Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title | Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title_full | Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title_fullStr | Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title_full_unstemmed | Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title_short | Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique |
| title_sort | estimation of soil loss in seremban, malaysia using gis and remote sensing technique |
| url | http://psasir.upm.edu.my/id/eprint/72617/ http://psasir.upm.edu.my/id/eprint/72617/ http://psasir.upm.edu.my/id/eprint/72617/ http://psasir.upm.edu.my/id/eprint/72617/1/Estimation%20of%20soil%20loss%20in%20Seremban.pdf |