LANDCOVER MAPPING OF EKITI STATE UNIVERSITY CAMPUS (ADO-EKITI) USING ASTRIUM PLEIADES-HR 1A IMAGERY AND GEOGRAPHIC INFORMATION SYSTEM MODEL
DOI:
https://doi.org/10.33003/jees.2025.0202/014Keywords:
Astrium Pleiades Imagery, Remote Sensing, Supervised classification, Landcover MappingAbstract
Remotely sensed satellite imagery and GIS technologies were utilised to map land cover of the Ekiti State University campus in Ado-Ekiti, Nigeria. GPS coordinates comprising 25 Ground Control Points (GCPs) taken with Mobile Topographer and a 1:20,000-scale basemap of the study area were also utilised in the processing. The Data were interpreted using the USGS/Anderson (1976) land cover classification and the IGU (1952) colour classification scheme. Supervised classification was performed using ArcGIS 10.3. Six landcover classes were identified, with Mixed Vegetation (MV) and Crop Field/Pasture (CF/P) accounting for the most significant areas, 156.06 hectares and 142.12 hectares, respectively. Built-up area (BU) covers only 91.63 hectares of the total land cover, with apparently sufficient space for future expansion, given judicious land allocation and adequate planning of development channels. Open Surface (OS) covers 19.91 hectares of the landcover. It occurs as barelands within the Built-up area (BU), but as bare rock surfaces in other parts of the entire university landcover. Plantation and Forest are the least, with only 11.48 hectares and 11.15 hectares, respectively, and should be conserved against further depletion. An overall accuracy of 75% and a kappa coefficient of 0.693 indicate the reliability of the classification on the final maps and data. The study demonstrated that remotely sensed data, coupled with GIS analysis, can be effectively used for land cover mapping of the study area. The resulting information can be incorporated into master and strategic plans for current and future development planning efforts and can help reduce potential environmental problems.
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