Application of RUSLE integrated with GIS and remote sensing techniques to assess soil erosion in Anambra State, South-Eastern Nigeria

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dc.contributor.authorAdelodun, Bashir
dc.date.accessioned2024-04-26T10:33:51Z
dc.date.available2024-04-26T10:33:51Z
dc.date.issued2020
dc.description.abstractSoil erosion and mass movement processes spread across Anambra State in Nigeria, therefore making management and conservation techniques expensive and difficult in execution across the entire state. This study employed the Revised Universal Soil Loss Equation (RUSLE) model with the integration of geographic information system (GIS) and remote sensing techniques to assess the risk of soil erosion and hotspots in the area. Remotely sensed data such as Landsat 8 imagery, Shuttle Radar Topography Mission (SRTM) imagery, Era-Interim coupled with world soil database were used as digital data sources for land use map, digital elevation model, rainfall and soil data, respectively, to generate the Universal Soil Loss Equation (USLE) parameters. The results indicated vulnerability levels in low, medium and high cover areas of 4,143.62 (91%), 332.29 (7%) and 84.06 (2%) km2, respectively, with a total soil loss between 0 and 181.237 ton/ha/yr (metric ton per hectare per year). This study revealed that high rainfall erosivity, steep and long slopes, and low vegetation cover were the main factors promoting soil loss in the area. Thus, the amount of soil loss in Anambra State is expected to increase with climate change and anthropogenic activities.
dc.identifier.issnhttps://doi.org/10.2166/wcc.2020.222
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/13028
dc.language.isoen
dc.publisherIWA Publishing
dc.subjecterodibility
dc.subjecterosion risk assessment
dc.subjecterosivity
dc.subjectGIS
dc.subjectRUSLE
dc.subjectsoil erosion
dc.titleApplication of RUSLE integrated with GIS and remote sensing techniques to assess soil erosion in Anambra State, South-Eastern Nigeria
dc.typeArticle

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