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Validation method of moderate resolution remotely sensed land surface temperature using landsat-8 and in situ measured data on heterogeneous surface

A method of decreasing the uncertainty in validating moderate resolution remotely sensed Land surface temperature (LST) was established on a heterogeneity surface in Northwest China. Two Landsat-8 images and in situ measured data were used in the paper. The LST and multiband reflectance as well as the reflectance coefficient of variation have a significant regression relation. For two Landsat-8 images, the determination coefficients were both above 0.88, and root mean square errors (RMSEs) were 1.2 K and 1.5 K respectively. Meanwhile, the regression relation isn't sensitive to the change of spatial resolution. High resolution LST which was obtained by using the regression relation and in situ measured LST were used in validating the Moderate Resolution Imaging Spectroradiometer (MODIS) daily LST product MOD11A1. The final result shown that the method can effectively decrease the validation uncertainty.