Comparison between Temperature Data Derived From LANDSAT 8 Band 10 using Geographic Information System (GIS) and Manual Ground Measurement.

Land surface temperature (LST) is one of the key parameters in the physics of earth surface processes from local to global scales, as such, its importance is being increasingly recognized. There are strong interests in developing methodologies to measure LST from the space. Landsat 8 Thermal Infrared Sensor (TIRS) is the newest thermal infrared sensor in the Landsat project, providing two adjacent thermal bands, which have a great benefit for LST inversion. In this paper, the results of temperature inversion from TIRS landsat8 band10 and ground measurement approaches of temperature measurement in Greater Yola were compared to ascertain which approach is more accurate with less error. Landsat8 band10 image of the study area was acquired on the 15/1/2016 and ground measurement of temperature was carried out across a network of three weather stations (MAUTECH, Yola, Yola Airport and UBRBDA weather stations) in the area simultaneously on the same date. Temperature was derived from the landsat8 band10 image and analyzed. The results showed a mean temperature of 32.5oC for Landsat 8 measurement, while the ground measurement mean temperature was 32.1oC. Analysis of Variance (ANOVA) was then used to test for variations. The results indicated a slight difference of 0.4 oC in the measurements. T-test was then employed to test the significance of the variation. It showed that the variation was not statistically significant even though some variation was observed. Accuracy of the two methods was tested in all the three stations and the results showed average manually measured temperature mean standard deviation (SD) = 3.32 and mean standard deviation error (MSE) = 3.35, while the automated temperature mean SD = 2.90 and MSE = 2.05. The results show higher accuracy for temperatures derived using landsat8 band10 when compared with manually measured temperature in Greater Yola, as the results indicate high MSE for ground measurement and low for automated- derived temperatures. The research concluded that there were variations between the results of the two approaches but not statistically significant and recommended the use of temperature data derived from landsat8 band10 for research temperature data collection because of its high accuracy as compared with ground measurement.