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Abstract
In this study, remote sensing data were integrated into GIS softwares for lithological mapping. The Landsat 8 OLI data were processed in order to see the lithological distribution in Akoko Edo area, Southern Nigeria. To achieve this purpose, products of Landsat 8 OLI digital data such as false color composite images (7, 5, 2 in RGB) and a band rationing image (6/7, 6/5, 4/2) were generated. Products of image processing improved lithological discrimination. Image classification was used to recognize and discriminate between the different rock units. In the result, four major classes were generated with two major geological features namely granite and migmatite with Bare earth surface and vegetation making up about 52% of the surface. The major geological features covered about 48% of the region. The band ratio classification using maximum likelihood classification was fairly accurate and matched the geologic map of Akoko Edo. The methodological approach used in this study for lithological mapping can be used to explore for mineral deposits, so more field works should be done to validate the gotten data and improve this method.
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