Abstract: The HJ-1B satellite thermal infrared data is widely used,but the quality validation of its surface temperature retrieval products is not yet perfect.In response to this problem,part of multiple underlying surfaces in the Heihe River Basin was taken as the research area,HJ-1B data was used as the research data,and universal single-channel algorithm was used to invert the surface temperature of the different underlying surface research areas.The inversion results were verified using the ground observation site data of the Heihe River Basin and MODIS surface temperature data.Dynamic time warping was introduced to evaluate timing similarity.The results show that the relative deviation between the HJ-1B surface temperature inversion product and the ground observation value for desert and desert sites is within 1K,and the root mean square error(RMSE) is about 0.5K.The deviation for vegetation and crop sites is within 2K,and the RMSE is 1.2K.The evaluation result of the time-series mismatched data using DTW is consistent with the performance of existing indicators.The relative deviations between the HJ-1B surface temperature inversion products and the surface stations are lower than those between the HJ-1B surface temperature inversion products and the MODIS surface temperature inversion products.

Key words: HJ-1B satellite;land surface temperature, single-channel algorithm, direct validation；Heihe River Basin;DTW