Spatial interpolation of urban air temperatures using satellite-derived predictors

Air temperatures in urban environments are usually obtained from sparse weather stations that provide limited information with regard to spatial patterns. Effective methods that predict air temperatures (Tair) in urban areas are based on statistical models which utilize remotely sensed and geographic data. This work aims to compute Tair predictions for diurnal and nocturnal time intervals using predictive models that do not exploit information...