USE OF AT-SATELLITE TEMPERATURE FOR GEOTHERMAL INVESTIGATION IN IKOGOSI
Abstract
Computation of At-satellite temperature provides an opportunity for the detection of shallow thermal anomaly for geothermal exploration. At-satellite temperature is a necessary component for the computation of brightness temperature. The brightness temperature is derived from the inverse of Planck Function. Ikogosi is one of the places in Nigeria with geothermal potential but brightness temperature has not been computed in that region to assess temperature distribution for geothermal exploration. The result of the computed brightness temperature for the thermal band indicates that temperature decreases along SW direction of the study area and it is concordance with the average ground surface temperature. It was also observed that regions around Ikogosi is of temperature above 290 K while that of the vicinity is about 200 K and it could be due to the stream in the vicinity
References
Caby, R., & Boessé, J. M. (2001). Pan-African nappe system in southwest Nigeria: The Ife-Ilesha schist belt. Journal of African Earth Sciences, 33(2), 211–225. https://doi.org/10.1016/S0899-5362(01)80060-9
Chan, H., Chang, C. and Dao, P.D. (2018). Geothermal Anomaly Mapping Using Landsat ETM+ Data in Ilan Plain, Northeastern Taiwan. Pure Applied Geophysics, 175, 303–323. https://doi.org/10.1007/s00024-017-1690-z
De Swardt, A. (1953). “The geology of the country around Ileshaâ€, Geological survey Nigeria Bulletin, 28: 54.
Gaudin, D., Beauducel, F., Allemand, P., Delacourt, C., andFinizola,A. (2013). Heat flux measurement from thermal infrared imageryin low-flux fumarolic zones: example of the Ty fault (La Soufrie`rede Guadeloupe). Journal of Volcanology and GeothermalResearch, 267, 47–56.
Gutie´rrez, F. J., Lemus, M., Parada, M. A., Benavente, O. M., and Aguilera, F. A. (2012). Contribution of ground surface altitudedifference to thermal anomaly detection using satellite images:application to volcanic/geothermal complexes in the Andes ofCentral Chile. Journal of Volcanology and Geothermal Research, 237–238, 69–80.
Thomas, M. L. and Ralph, W. K. (1994). Remote Sensing and Image Interpretation, 3rd ed., John Wiley and Sons, New York, 750
USGS (United State Geological Survey) (2015). Landsat 8 Data User Handbook. Retrieved from http://landsat.usgs.gov accessed on January 30, 2016.
Wu, W., Zou, L., Shen, X., Lu, S., Su, N., Kong, F., et al. (2012). Thermal infrared remote-sensing detection of thermal information associated with faults: a case study in Western Sichuan Basin, China. Journal of Asian Earth Sciences, 43, 110–117
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