Assessment of Land Degradation Vulnerability in Atakumosa Area of Osun State, Nigeria

Land degradation poses a significant threat to environmental sustainability, agricultural productivity, and socio-economic stability, particularly in cities and villages where mining activities are very rampant. This study aims to assess land degradation vulnerability in Atakunmosa Area, Osun State using Geospatial techniques. By leveraging multi-temporal satellite imagery and spatial analysis techniques, the study identifies and maps degradation-prone areas based on a combination of biophysical and anthropogenic indicators, including land use/land cover (LULC), slope, modified soil adjusted vegetation indices (MSAVI), topographic wetness index (TWI), geology, soil types, soil acidity, soil texture, soil depth and drainage density. The SRTM DEM, Landsat 8 OLI, soil map, and geology map were used to create these thematic maps. Each class of these parameters was given appropriate weighting factors. Using the analytical hierarchical process, weighting factors were assigned to the different themes according to their influence to land degradation. GIS tools were utilized to integrate these spatial layers using weighted overlay analysis to produce the Land Degradation Vulnerability Index (LDVI) for the study area. The results indicated that 36.6 % (297.19 km<sup>2</sup>) of the total area was prone to high degradation risks, 17.1% (138.85 km<sup>2</sup>) was prone to moderate risks, 14.2% (115.30 km<sup>2</sup>) was prone to low risks, while 32.1% (260.65 km<sup>2</sup>) was prone to very low risks. The consistency ratio (CR) for the study was less than 0.1, which is an indication of the acceptability of the pairwise comparism. The study highlights the critical role of geospatial technologies in environmental assessment and decision-making processes.

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Publication Details

Journal
American Journal of Remote Sensing
Published
2026-03-14
DOI
https://doi.org/10.11648/j.ajrs.20261401.11
Primary Topic
Soil and Land Suitability Analysis
Type
article
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article

Assessment of Land Degradation Vulnerability in Atakumosa Area of Osun State, Nigeria

Ogunyemi Samson Akintunde, Ogah Okibe, Fatile Samuel, Aluko Rotimi Emmanuel et al.
American Journal of Remote Sensing
Soil and Land Suitability Analysis
article

Assessment of Land Degradation Vulnerability in Atakumosa Area of Osun State, Nigeria

Ogunyemi Samson Akintunde, Ogah Okibe, Fatile Samuel, Aluko Rotimi Emmanuel, Elugoke Nicholas Olaniyi, Ojo Gbenga, Alage Lukman, Fasote Oluwabunmi, Ebeiyamba Ekpo, Ajayi Oluwatoyin
article en

Abstract

Land degradation poses a significant threat to environmental sustainability, agricultural productivity, and socio-economic stability, particularly in cities and villages where mining activities are very rampant. This study aims to assess land degradation vulnerability in Atakunmosa Area, Osun State using Geospatial techniques. By leveraging multi-temporal satellite imagery and spatial analysis techniques, the study identifies and maps degradation-prone areas based on a combination of biophysical and anthropogenic indicators, including land use/land cover (LULC), slope, modified soil adjusted vegetation indices (MSAVI), topographic wetness index (TWI), geology, soil types, soil acidity, soil texture, soil depth and drainage density. The SRTM DEM, Landsat 8 OLI, soil map, and geology map were used to create these thematic maps. Each class of these parameters was given appropriate weighting factors. Using the analytical hierarchical process, weighting factors were assigned to the different themes according to their influence to land degradation. GIS tools were utilized to integrate these spatial layers using weighted overlay analysis to produce the Land Degradation Vulnerability Index (LDVI) for the study area. The results indicated that 36.6 % (297.19 km<sup>2</sup>) of the total area was prone to high degradation risks, 17.1% (138.85 km<sup>2</sup>) was prone to moderate risks, 14.2% (115.30 km<sup>2</sup>) was prone to low risks, while 32.1% (260.65 km<sup>2</sup>) was prone to very low risks. The consistency ratio (CR) for the study was less than 0.1, which is an indication of the acceptability of the pairwise comparism. The study highlights the critical role of geospatial technologies in environmental assessment and decision-making processes.

American Journal of Remote SensingVol. 14(1)
Obafemi Awolowo University (NG)
Zero hunger
Openalex Percentile: Top 11%
Soil and Land Suitability Analysis
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