Abstract
This study presents possible way of soil erosion identification on a tropical watershed of Nyaba river basin in Enugu State combining remote sensing and GIS techniques. The aim of this study is to identify and map out soil erosion types in Nyaba river basin and its spatial distribution in 2011. This study identifies soil erosion types in Nyaba River Basin subcatchment units in Enugu Urban of Enugu State, Nigeria, which is a mountainous region with steep slope and an upland ecosystem. To achieve the aim of this study, data were collected from LandSat satellite image of 2011, rainfall data from NIMET for 2011, hydrological data and soil samples were collected in the entire subcatchment unit. The data collected were processed using different methods; Erdas Imagine 9.1 was used in the Land use land cover image classification while the soil type was determine using Soil Textural Triangle by David Whiting, 2011 U.D.S.A , the hydrological data generated was analysed using rational method formula and were categorized into three classes: high, medium and low. Spatial multi-criteria evaluation operation in Arc GIS 10 was used to generate the soil erosion map of the study area. The result showed that there were various erosion types in the study area. Erosion types identified by the research work are rill, sheet, and gully erosion. In conclusion, integrated Remote Sensing, Geographical Information System and Spatial Multi-criteria Evaluation Model tool used to identify soil erosion types in mountainous regions will assist decision makers on environmental management policy.
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Okwu- Delunzu, V.U., Chukwu, K.E., Onyia, W.O., Nwagbara, A.O., Osunmadewa, B.A. (2015). Identification of Soil Erosion Types in Nyaba River Basin of Enugu State, Southeastern Nigeria Using Remote Sensing and Geographical Information System Techniques.. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_57
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DOI: https://doi.org/10.1007/978-3-662-45737-5_57
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