Abstract
Land surface temperature (LST) is a key parameter for a wide number of applications. The Advanced Himawari Imager (AHI) onboard Himawari-8 has four thermal infrared (TIR) bands in the atmospheric window, which provides the possibility of separating LST and LSE from AHI TIR data. In this paper, the TES algorithm and water vapor scaling (WVS) method were combined to retrieve LST and LSE from the AHI TIR data. The retrieval results are evaluated by the ground measurements collected from one site in the Baseline Surface Radiation Network (BSRN) network. The average Bias and RMSE of the estimated LST are -0.096K and 0.705K, respectively. This study demonstrates the capability of the combinations of TES algorithm and WVS method in retrieving LST and LSE from AHI TIR data.
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