Integrating GIS and remote sensing in mapping soil erosion risk using SLEMSA model: A case study of Dinogeng Agricultural Extension Area of Kgatleng District, Botswana
1 Department of Agricultural and Biosystems Engineering, Botswana University of Agriculture and Natural Resources, Private Bag 0027, Gaborone, Botswana.
2 Department of Wildlife and Aquatic Resources, Botswana University of Agriculture and Natural Resources, Private Bag 0027, Gaborone, Botswana.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2022, 07(02), 001–012.
Article DOI: 10.30574/wjaets.2022.7.2.0111
Publication history:
Received on 22 August 2022; revised on 24 October 2022; accepted on 27 October 2022
Abstract:
A study was conducted in Dinogeng Agricultural Extension Area (DAEA) of Kgatleng District, Botswana, with the objective of assessing current soil erosion risk (using 2020 Landsat imagery) resulting from the Integrated Support Programme for Arable Agricultural Development (ISPAAD) that was launched in 2009. The Soil Loss Estimation Model for Southern Africa (SLEMSA) tool integrated with Geographical Information System (GIS) and Remote Sensing assessed the soil erosion risk in the study area. The results indicated that 88% of DAEA has low to moderate soil erosion risk (0 – 2 tha-1yr-1). Only 12% of the study area experience very high to extreme high erosion risk (5 - ≥10 tha-1yr-1) along the streams, at steep slopes and areas of bare land. Common practice calls for conservation measures to be applied on areas with high soil loss. This study has underscored the role of topography and soil erodibility, as natural factors, in driving soil erosion.
Keywords:
DAEA; ISPAAD; SLEMSA; Soil erosion risk
Full text article in PDF:
Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0