The variation of air temperature (T-air)( )over a spatial area is usually hard to detect. This is because it requires a high-spatial network of weather stations distributed over the study area which might be impractical to implement in large studies. Nevertheless, remotely sensed images could provide a low-scale land surface temperature (LST) map for large areas where one of the renowned satellites that provide LST is Landsat. This research tries to understand the accuracy of these LST maps using records from weather stations as well as thermal camera images. To do so, remotely sensed images between April 2021 and June 2022 were retrieved from Landsat 8 to estimate the LST over the University City of Sharjah in the UAE to validate them using 14 weather stations distributed on different land uses. The weather stations recorded T-air every 30 minutes at 0.5 meters and 1.5 meters above the ground. In addition, thermal images from the thermal camera were taken at the same time as Landsat 8. The correlation analysis shows that the relationship between LST and the thermal camera is weaker during higher temperatures, while strong at lower temperatures (R-2 of 0.878) with an absolute difference of about 8 degrees C. On the other hand, the relationship between LST and T-air at 0.5 meters is slightly stronger than the one at 1.5 meters (R-2 of 0.877) and (R-2 of 0.870) respectively.