Figure 7 - available via license: Creative Commons Attribution 4.0 International
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a & b: a) Mean of Land surface emissivity map of study area. B) an overlay of the mean of Land surface emissivity map on DEM map, the point mark X represents Ikogosi warm spring.
Source publication
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 Ikogo...
Contexts in source publication
Context 1
... of Land Surface Emissivity was created using the NDVI threshold technique (Figure 7 a). The difference of LSE was calculated which is one of the important parameters to obtain LST using the SW algorithm. ...
Context 2
... difference of LSE was calculated which is one of the important parameters to obtain LST using the SW algorithm. The emissivity was compared to the elevation distribution and geological units of the study area ( Figures 7 a and b). The computed LSE ranged between 0.987998 and 0.988127 with a mean of 0.988082. ...
Context 3
... IWS is characterized by a high percentage, about 100 %, of the vertical projection of vegetation canopy and the eastern vicinity, which is sharply low, far less than 50% (see figure 6 b). The calculated mean LSE around the IWS is observed to be moderate while the eastern vicinity is very high (see figure 7a) and the LSE appears not to be influenced by elevation as shown in figure 6 b, and highly vegetated regions are characterized by low LSE. (Figure 6a and 7 a) The top of the atmosphere brightness around IWS is a bit high, about 10 °C, in band 10 and less than 10 °C in band 11 (see figure 8 a and b). ...
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