Soil erosion assessment in Tasik Chini Catchment using remote sensing and gis techniques
Over many years, forested land transformation into urban, agriculture and mining areas within Tasik Chini Catchment become more intense. These activities have negatively affected the catchment through soil erosion and increased the amount of sediments that deposited into the lake. Hence, the present...
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Penerbit Universiti Kebangsaan Malaysia
2017
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ukm-110282017-11-27T09:21:40Z http://journalarticle.ukm.my/11028/ Soil erosion assessment in Tasik Chini Catchment using remote sensing and gis techniques Muhammad Rendana, Sahibin Abdul Rahim, Wan Mohd Razi Idris, Tukimat Lihan, Zulfahmi Ali Rahman, Over many years, forested land transformation into urban, agriculture and mining areas within Tasik Chini Catchment become more intense. These activities have negatively affected the catchment through soil erosion and increased the amount of sediments that deposited into the lake. Hence, the present study aimed to estimate soil erosion risk within Tasik Chini Catchment integrating the Revised Universal Soil Loss Equation (RUSLE) model and remotely sensed geospatial data. The multispectral imagery from LANDSAT 8 was used to provide up to date information on land cover within the catchment. The result shows the majority of Tasik Chini Catchment is classified at very low class (< 10 ton ha−1 yr−1) about 4835.34 ha (92.38%), followed by the low class (10-50 ton ha−1 yr−1) with total area of 175.47 ha (3.35%), moderate high class (50-100 ton ha−1 yr−1) with total area of 65.11 ha (1.24%), high class (100-150 ton ha−1 yr−1) with total area of 38.37 ha (0.73%) and very high class (> 150 ton ha−1 yr−1) with total area of 120.04 ha (2.30%). Tasik Chini Catchment is very susceptible to soil erosion especially on northwest and southeast regions, where the main sources of soil loss come from the agricultural, new settlements and mining activities. To conclude, the estimation of soil erosion model using remotely sensed data can be used to build sustainable development strategy within Tasik Chini Catchment in the future. Penerbit Universiti Kebangsaan Malaysia 2017-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11028/1/03%20Muhammad%20Rendana.pdf Muhammad Rendana, and Sahibin Abdul Rahim, and Wan Mohd Razi Idris, and Tukimat Lihan, and Zulfahmi Ali Rahman, (2017) Soil erosion assessment in Tasik Chini Catchment using remote sensing and gis techniques. Sains Malaysiana, 46 (4). pp. 529-535. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num4_2017/contentsVol46num4_2017.html |
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Over many years, forested land transformation into urban, agriculture and mining areas within Tasik Chini Catchment become more intense. These activities have negatively affected the catchment through soil erosion and increased the amount of sediments that deposited into the lake. Hence, the present study aimed to estimate soil erosion risk within Tasik Chini Catchment integrating the Revised Universal Soil Loss Equation (RUSLE) model and remotely sensed geospatial data. The multispectral imagery from LANDSAT 8 was used to provide up to date information on land cover within the catchment. The result shows the majority of Tasik Chini Catchment is classified at very low class (< 10 ton ha−1 yr−1) about 4835.34 ha (92.38%), followed by the low class (10-50 ton ha−1 yr−1) with total area of 175.47 ha (3.35%), moderate high class (50-100 ton ha−1 yr−1) with total area of 65.11 ha (1.24%), high class (100-150 ton ha−1 yr−1) with total area of 38.37 ha (0.73%) and very high class (> 150 ton ha−1 yr−1) with total area of 120.04 ha (2.30%). Tasik Chini Catchment is very susceptible to soil erosion especially on northwest and southeast regions, where the main sources of soil loss come from the agricultural, new settlements and mining activities. To conclude, the estimation of soil erosion model using remotely sensed data can be used to build sustainable development strategy within Tasik Chini Catchment in the future. |
format |
Article |
author |
Muhammad Rendana, Sahibin Abdul Rahim, Wan Mohd Razi Idris, Tukimat Lihan, Zulfahmi Ali Rahman, |
spellingShingle |
Muhammad Rendana, Sahibin Abdul Rahim, Wan Mohd Razi Idris, Tukimat Lihan, Zulfahmi Ali Rahman, Soil erosion assessment in Tasik Chini Catchment using remote sensing and gis techniques |
author_facet |
Muhammad Rendana, Sahibin Abdul Rahim, Wan Mohd Razi Idris, Tukimat Lihan, Zulfahmi Ali Rahman, |
author_sort |
Muhammad Rendana, |
title |
Soil erosion assessment in Tasik Chini Catchment using
remote sensing and gis techniques |
title_short |
Soil erosion assessment in Tasik Chini Catchment using
remote sensing and gis techniques |
title_full |
Soil erosion assessment in Tasik Chini Catchment using
remote sensing and gis techniques |
title_fullStr |
Soil erosion assessment in Tasik Chini Catchment using
remote sensing and gis techniques |
title_full_unstemmed |
Soil erosion assessment in Tasik Chini Catchment using
remote sensing and gis techniques |
title_sort |
soil erosion assessment in tasik chini catchment using
remote sensing and gis techniques |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2017 |
url |
http://journalarticle.ukm.my/11028/ http://journalarticle.ukm.my/11028/ http://journalarticle.ukm.my/11028/1/03%20Muhammad%20Rendana.pdf |
first_indexed |
2023-09-18T19:59:08Z |
last_indexed |
2023-09-18T19:59:08Z |
_version_ |
1777406730190192640 |