Satellite observations in the Thermal Infra-Red (TIR) domain provide valuable information on Land Surface Temperatures, Evapo-Transpiration and water use efficiency useful for monitoring vegetation health, agricultural practices and urban planning. By 2030, there will be 3 new high-resolution global coverage satellite TIR missions in space, all of them with fields of view larger than ± 30°. Directional anisotropy in TIR can affect the estimation of key application variables, such as temperature, and are typically studied with field campaigns or physical modelling. In this work, we have evaluated directional effects using simultaneous measurements from Landsat-8 and the ± 45°field of view MASTER airborne TIR sensor from NASA. Differences, as high as 6K observed in the surface temperatures derived from these simultaneous observations are attributed to directional effects, with the greatest differences associated with hotspot conditions, where the solar and satellite viewing directions align. Four well studied parametric directional models were fitted to the temperature differences allowing the amplitude of the measured directional effects to be reduced to below 1K, with small variations between models. The results suggest it should be possible to implement a correction for directional effects as part of the ground segment processing for the upcoming missions.