Assessment of soil erosion by SLEMSA model using remote sensing and GIS: A case study of Taung Watershed of Ramotswa Agricultural District in Botswana
Department of Agricultural and Biosystems Engineering, Botswana University of Agriculture and Natural Resources, Private Bag 0027, Gaborone, Botswana.
Research Article
Global Journal of Engineering and Technology Advances, 2023, 15(01), 008–018.
Article DOI: 10.30574/gjeta.2023.15.1.0056
Publication history:
Received on 10 February 2023; revised on 26 March 2023; accepted on 29 March 2023
Abstract:
The Soil Loss Estimation Model for Southern Africa (SLEMSA) model integrated with Remote Sensing (RS) and Geographical Information Systems (GIS) was positively validated to spatially assess soil erosion risk in the Taung Watershed of Ramotswa Agricultural District during the period 2000 – 2020. The estimated annual soil erosion averaged 11.77 and 12.57 t/ha/year in 2000 and 2020, respectively. The Land Use/Land Cover (LULC) and topography were found to be key determinants of high soil erosion risk when using SLEMSA. The soil erosion assessment tools enabled prioritization of high erosion prone areas in the study area for soil conservation planning and watershed management.
Keywords:
Taung watershed; Soil erosion; SLEMSA; RS; GIS
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