A Paradigm for Generating Operational Seamless Land Surface Temperature Products

Land surface temperature (LST) is a direct result of earth-atmosphere interactions and has been widely used in earth system science and climate change. Thus, it is recognized as one of the essential climate variables (ECVs). Thermal infrared (TIR) remote sensing is the most effective way to obtain high-quality LST at a large scale. However, TIR cannot penetrate the Cloud and obtain the cloudy sky LST, which seriously hinders its applications. To address this challenge, we proposed a paradigm for estimating the seamless LST at regional and global scales. Validation results showed the root mean square error (RMSE) of the produced seamless LST achieved approximately 3K. The produced seamless LST at China landmass, East Asia, and global have been freely released to the public (https://elite.bnu.edu.cn).