Abstract

Land surface temperature (LST) is an important parameter related to surface energy and water balance at local and global scales. Various methodologies have been developed to retrieve LST from space-based thermal infrared (TIR) data. Due to the ill-posed problem, the LST retrieval is still a challenging. We review the current status of LST retrieval algorithms from satellite TIR data. Furthermore, we review the temporal normalization methods of satellite-derived LST and the methods used to validate satellite-derived LST. Directions for future research to improve the accuracy of satellite-derived LST are then suggested.

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