 This paper compares three different approaches for land surface temperature, LST, inversion from Landsat 8 thermal infrared sensor, TRS, including radiative transfer equation-based method, split-window algorithm and single-channel method, using four selected energy balance monitoring sites from the surface radiation budget network, SURFRAD, for validation. The results show that the LST inverted from the radiative transfer equation-based method using band 10 has the highest accuracy with RMSE lower than 1K, while the SW algorithm has moderate accuracy, and the SC method has the lowest accuracy. This article was authored by C.L.A.U., Shilin Gua, and Xiaotsong Wu.