Soil erosion assessment in the Chini Lake catchment using remote sensing and GIS techniques

Muhammad Rendana, Sahibin @ Sahibini Abd Rahim, Wan Mohd Razi Idris, Tukimat Lihan, Zulfahmi Ali Rahman

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Over many years, forested land transformation into urban, agriculture and mining areas within Chini Lake 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 Chini Lake 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 Chini Lake 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%). Chini Lake 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 Chini Lake Catchment in the future.

Original languageEnglish
Pages (from-to)529-535
Number of pages7
JournalSains Malaysiana
Volume46
Issue number4
DOIs
Publication statusPublished - 1 Apr 2017

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soil erosion
GIS
catchment
remote sensing
lake
Revised Universal Soil Loss Equation
urban agriculture
development strategy
land cover
sustainable development
imagery
sediment
soil

Keywords

  • Chini Lake Catchment
  • LANDSAT 8
  • NDVI
  • RUSLE
  • Soil loss

ASJC Scopus subject areas

  • General

Cite this

Soil erosion assessment in the Chini Lake catchment using remote sensing and GIS techniques. / Rendana, Muhammad; Abd Rahim, Sahibin @ Sahibini; Idris, Wan Mohd Razi; Lihan, Tukimat; Ali Rahman, Zulfahmi.

In: Sains Malaysiana, Vol. 46, No. 4, 01.04.2017, p. 529-535.

Research output: Contribution to journalArticle

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