Horizontal Wind Profile Data Processing

4.3 Surface Temperature

Infrared radiation is commonly used to remotely determine the global coverage of surface temperature over the Earth’s surface. However, due to its limitation, the outgoing infrared radiation from the surface cannot penetrate through clouds to reach the satellite’s radiometer. Therefore, a cloud-free portion of the scene is used so that land surface temperature is not mixed with cloud- top temperature. The brightness temperature retrieved from TIR bands 31 and 32 of TerraMODIS L1B were used to measure the surface temperature in assumption that the entire object is a perfect blackbody. Figure 14 Linear regression of surface temperature in TIR bands 31 and 32. The value of surface temperature calculated from TIR bands 31 and 32 is varied but relatively similar. The relationship between these two bands is linear with 0.9934 coefficient of determination as shown in Figure 14. The value of surface temperature is varied along with topography where high temperatures are more likely to be identified in lowlands rather than in highlands as it can be clearly seen from Figure 15. The pattern of surface temperature will vary depends on the amount of solar radiation absorbed by the surface. It is related with the physical characteristics of the object. High surface temperature of an object is generally associated with high emissivity, small heat capacity, and high thermal conductivity. The rate at which surface temperature decreases with height is very much affected by adiabatic process. When a parcel of air rises, it moves into higher altitudes where the surrounding air pressure is lower than on the inside of the air parcel itself. This pressure difference then causing the air parcel to expands and pushes on the air around it. Since the work done by air parcel does not gain any heat exchange Figure 15 The range of surface temperature in the study area K. Table 1 Comparison of statistical approaches in bowtie correction. Statistics Band 1 Band 3 Band 4 Band 31 Band 32 RMSE 0.00960 0.00575 0.00689 0.15539 0.12670 MAE 0.00598 0.00278 0.00370 0.11067 0.09030 Correlation Coefficient 0.93401 0.92803 0.90951 0.97410 0.97072 K