Abstract
Ikogosi warm spring (IWS) is among the most visited geothermal resource by tourists in Nigeria. On that basis, it has attracted so much attention from researchers using various geophysical methods, except the retrieval of the land surface temperature (LST) from remote sensing data. This work aimed at computing LST to delineate hot zone around Ikogosi geothermal resources. The split-window approach was used to compute the LST from Landsat 8 data. The interpretation of Landsat8 data revealed that the central region of the study area is of high LST, and the temperature then drops towards the southwest direction. The result also shows that the warm spring is situated around a region with high land surface temperature (about 29 °C) which is an indication of a geothermal reservoir. The supervised classification of the LST yields two zones of the high density of pixels with high temperature, hot spot zones. The hot spot zone west of IWS is believed to be the heat source of IWS as it has high LST, and it is closer to IWS while the hot spot zone NW of IWS shows an indication of a viable geothermal resource, high LST
Highlights
A heat source and fluid that transfer heat, through convection, towards the surface are essential in a geothermal system
There are more than six geothermal resources in Nigeria in the form of hot springs of which the Ikogosi warm spring (IWS) is the most visited by tourists
This work aimed at the computation of Land surface temperature (LST) retrieved from Landsat8 to delineate the hot zone around the Ikogosi geothermal resource
Summary
A heat source and fluid that transfer heat, through convection, towards the surface are essential in a geothermal system. The fluid that transfers the heat to the surface could be magma or water, and the heat source may be some kilometers away from the surface (Nicholson, 1993). There are more than six geothermal resources in Nigeria in the form of hot springs of which the Ikogosi warm spring (IWS) is the most visited by tourists. No published work has reported the computation of land surface temperature over IWS from remote sensing data (Landsat). Land surface temperature (LST) is useful in the detection of shallow geothermal anomalies by assessing remote sensing (Chan et al, 2018). This work aimed at the computation of LST retrieved from Landsat to delineate the hot zone around the Ikogosi geothermal resource
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