A number of studies have examined the relationship between land use and/or vegetation indices (principally NDVI) with Land Surface Temperature (LST). However, few studies have examined this relationship across multiple years in order to derive a climatology of LST for urban areas and their surrounds. Fewer still have examined the relationship between aspects of urban land cover and LST throughout the course of multiple years. Both long-term averages and spatially relevant information are needed to inform planning decisions. In this study, the potential for high resolution land cover to offer insight into LST patterns is examined and the role of this information in guiding mitigation and adaptation strategies is examined. A step-wise multiple linear regression model was developed which identifies the role of individual land cover fractions on controlling LST climatology for Dublin (Ireland) across a typical climatological year (TCY).