Analysis of Areas Susceptible to Gullies in Ideato South Local Government Area of Nigeria Using Geographic Information System and Remote Sensing Technology
Sylvanus Iro1 Show affiliations
- Department of Geography and Environmental Management, Imo State University, Owerri, Nigeria
American Journal of Environmental Sciences, Volume 22, Issue 1, pp. 49–63 · doi.org/10.3844/ajessp.2026.49.63
Abstract
Gully erosion is a critical environmental hazard in Southeastern Nigeria, threatening agricultural productivity, infrastructure, and communal safety. This study provides a spatially explicit assessment of gully erosion susceptibility in Ideato South Local Government Area (LGA), Imo State, using an integrated Geographic Information System (GIS) and Remote Sensing framework. The methodology employed a multi-criteria decision-making approach, utilizing the Analytical Hierarchy Process (AHP) to weight thirteen geo-environmental conditioning factors, including topography, hydrology, rainfall, soil properties, and Land Use/Land Cover (LULC). These factors were standardized and integrated through a weighted overlay technique to produce a Gully Erosion Susceptibility Map (GESM). The results demonstrate that LULC (19%) and soil properties (15%) are the most significant drivers of erosion in the region. Spatial analysis reveals a landscape highly predisposed to degradation: Approximately 57% (34.33 km²) of the LGA is classified as having "Slight" to "Very High" susceptibility. Notably, 12% (7.25 km²) and 0.17% (0.10 km²) of the land area are categorized as "High" and "Extremely" susceptible, respectively. These high-risk zones are primarily concentrated in areas characterized by steep slopes, high flow accumulation, and intense anthropogenic disturbance. The findings provide a robust evidence-based framework for environmental planners to implement targeted soil conservation measures and sustainable land-management policies in Ideato South.
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Iro, S. (2026). Analysis of Areas Susceptible to Gullies in Ideato South Local Government Area of Nigeria Using Geographic Information System and Remote Sensing Technology. American Journal of Environmental Sciences, 22(1), 49–63. https://doi.org/10.3844/ajessp.2026.49.63
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