Abstract
Exploiting geothermal (GT) resources requires first and foremost locating suitable areas for its development. The focus of this paper is to explore the applicability of mapping GT related anomalies by identifying mineralogy and lithological features at regional scale using image enhancement techniques on Landsat 8 satellite data. A combination of established Band ratios from literature were implemented on Landsat 8 optical bands using innovative digital image processing and knowledge-based spectral information extraction techniques which enhanced surface mineralogy and possible alteration areas of interest. The results indicate that ratios using bands; 7/4, 6/3, 5/7 and 6/7, 4/3, 5/6 and 7/5, 5/4, 6/7 respectively as RGB, were unique but corroborative in enhancing and identifying; clay rich rocks, iron oxides, micas, carbonates and possible hydrothermal alteration zones related to GT anomaly. The results could have implication for GT exploration in especially unexplored regions where expensive airborne surveys are unaffordable.Keywords: Band ratios, Landsat 8 (OLI), Geothermal, Minerals
Highlights
It covers an area of about 2,244 square kilometers (866 sq. mi) (Olokesusi, 1990) and is chosen for the study because the Park is not within the urban fringe satellite image data from the area may not be affected by the effect of urban heat island (UHI) characterized by built up areas in the city which could affect or distort the results of subtle geothermal anomalies
Yankari Park lies on the Kerri formation, of Tertiary age, which is composed of sandstone, silt stones, kaolinites and grits
This occurred for 7 months, experts from Nigeria’s Center for Geodesy and Geodynamics have tested the gaseous emissions, which had an odour of burning plastic, and revealed that the emission had magmatic origins and may be related to dormant volcanic system of the Pindiga formation (Abdullahi et al, 2014)
Summary
The objective of this study is to enhance and identify geothermal potential zones using hydrothermal alteration mineral indicators by applying Band ratioing as image transformation technique to VNIRSWIR bands of Landsat 8 at regional scale
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