Integration of remote sensing, RUSLE and GIS Integration of remote sensing, RUSLE and GIS to model potential soil loss and sediment yield (SY) Integration of remote sensing, RUSLE and GIS

Abstract

Land use activities within a basin serve as one of the contributing factors which cause deterioration of river water quality through its potential effect on erosion. Sediment yield in the form of suspended solid in the river water body which is transported to the coastal area occurs as a sign of lowering of the water quality. Hence, the aim of this 5 study was to determine potential soil loss using the Revised Universal Soil Loss Equa-tion (RUSLE) model and the sediment yield, in the Geographical Information Systems (GIS) environment within selected sub-catchments of Pahang River Basin. RUSLE was used to estimate potential soil losses and sediment yield by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using field 10 measurement and soil map, vegetation cover (C) using satellite images, topography (LS) using DEM and conservation practices (P) using satellite images. The results in-dicated that the rate of potential soil loss in these sub-catchments ranged from very low to extremely high. The area covered by very low to low potential soil loss was about 99 %, whereas moderate to extremely high soil loss potential covered only about 1 % 15 of the study area. Sediment yield represented only 1 % of the potential soil loss. The sediment yield (SY) value in Pahang River turned out to be higher closer to the river mouth because of the topographic character, climate, vegetation type and density, and land use within the drainage basin.