A Temperature-Based Validation Method for Medium and High Spatial Resolution LST Products

Land surface temperature (LST) is a vital parameter for studying global ecological, climatic, and environmental changes. A variety of regional and global scale LST products have been produced based on satellite remote sensing. Therefore, reliable retrieval accuracy is crucial for the application of LST products. A ground measurement processing method for medium and high spatial resolution LST products is proposed in this paper, to solve the spatial scale issues between the ground radiometer's field-of-view and the satellite pixel in T-based validation. The method is divided into two steps: LST quality control and spatial scale transformation. The Thermal Airborne Spectrographic Imager (TASI) data was used to evaluate the accuracy of the method. The results showed that this method can improve the reliability of the ground LST measurements.