Research Article
Assessment of Land Degradation Vulnerability in Atakumosa Area of Osun State, Nigeria
Issue:
Volume 14, Issue 1, June 2026
Pages:
1-12
Received:
19 January 2026
Accepted:
20 February 2026
Published:
14 March 2026
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 km2) of the total area was prone to high degradation risks, 17.1% (138.85 km2) was prone to moderate risks, 14.2% (115.30 km2) was prone to low risks, while 32.1% (260.65 km2) 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.
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-t...
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Research Article
Drone-Enabled Geospatial Infrastructure Management for Buildings at the Federal Polytechnic Ilaro
Issue:
Volume 14, Issue 1, June 2026
Pages:
13-24
Received:
20 May 2026
Accepted:
1 June 2026
Published:
27 June 2026
DOI:
10.11648/j.ajrs.20261401.12
Downloads:
Views:
Abstract: This paper discusses the development of the Geospatial Building Information Infrastructure (GBII) for the developing Federal Polytechnic in Ilaro, Nigeria. It demonstrates how participants in interdisciplinary building projects, such as surveyors, engineers, and architects, can collaborate effectively using the same digital model. Model visualization and design coordination improve when data from multiple sources are merged into a single model. This allows for more informed decisions about costs and resource allocation. To obtain high-quality geospatial data, Global Navigation Satellite System (GNSS) surveying techniques were combined with Unmanned Aerial Vehicle (UAV) data captured. Field surveys were first carried out to maximize the effectiveness of the flight procedure and establish the best placement of GCPs. Preliminary satellite imagery analysis helped design UAV flight paths and select the potential GCP location in the study area. Before data collection, the instrument's test was done to ensure its good working condition. Spatial datasets were collected using a Tarsus Oscar GNSS device for the GCPs and a DJI Phantom 4 Pro V2 UAV for the aerial photos. Digital surface model (DSM) and Digital terrain model (DTM) maps were derived from the image processed using the software. The output maps reveal images of surfaces and the topography. All acquired datasets were visualized using the ArcGIS 10.6 system for mapping and analysis. The incorporation of UAV data in GBII improved data accuracy and visualization, and it has proven to be an efficient method.
Abstract: This paper discusses the development of the Geospatial Building Information Infrastructure (GBII) for the developing Federal Polytechnic in Ilaro, Nigeria. It demonstrates how participants in interdisciplinary building projects, such as surveyors, engineers, and architects, can collaborate effectively using the same digital model. Model visualizati...
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,
Ajayi Felicia Oluwatoyin,
Ebeiyamba Okon Ekpo
