Abstract: In this study, we retrieved the land surface temperature (LST) of Guangzhou on Jan 14, 2013. The retrieval was based on the characteristics of HJ-1B thermal infrared band, adopting a revised QK & B algorithm. The established partial differential equation showed that the emissivity error of 0.01 resulted in a LST error of around 0.6 K. The LST error was negatively correlated to the atmospheric transmittance and positively correlated to the atmospheric transmittance error; the transmittance error of 0.1 resulted in a LST error of around 1 K. Meanwhile, the atmospheric water vapor error and the LST error exhibited a linear relation; the atmospheric water vapor error of 0.1 g/cm² resulted in LST error of around 0.2 K. The LST retrieval error was positively correlated to both the near-surface air temperature error and the average atmospheric error; the near-surface air temperature error of 1 K led to the LST retrieval error of around 1 K. Overall, the LST retrieval error and interval ratio are related to the average atmospheric temperature error as well as the near-surface air temperature error. The retrieved land surface temperature of Guangzhou was in strong spatial accordance with the MOD11_L2 LST product. The temperature difference curve exhibited a normal distribution, concentrated in the range of -0.9℃ to 0.9℃. Six ground measurement spots in Guangzhou were chosen to compare the LST obtained by the revised QK & B algorithm with the ground measured average surface temperature. The difference between the LST obtained using the algorithm and the measured ground temperature was around 0.31 K, whereas the MOD11_L2 product had a difference of around 0.65 K with the measured surface temperature, both were less than 1 K. By deriving the partial differential equation of the revised QK & B algorithm, a more detailed and precise analysis was performed on LST retrieval in HJ-1B/IRS. This study also provides a reference for other similar LST retrieval algorithms based on environmental satellite thermal infrared band, as well as a scientific basis for future improvement of LST retrieval accuracy.