Land surface temperature (LST) is a key climate variable that has been studied mainly at the urban scale and in the context of urban heat islands. By analyzing the connection between LST and land cover, this study shows the potential of LST to analyze the relation between urbanization and heating phenomena at the regional level. Land cover data, drawn from Copernicus, and LST, retrieved from Landsat 8 satellite images, are analyzed through a methodology that couples GIS and regression analysis. By looking at the Italian island of Sardinia as a case study, this research shows that urbanization and the spatial dynamics of heating phenomena are closely connected, and that intensively farmed areas behave quite similarly to urban areas, whereas forests are the most effective land covers in mitigating LST, followed by areas covered with Mediterranean shrubs. This leads to key policy recommendations that decision-makers could implement to mitigate LST at the regional scale and that can, in principle, be exported to regions with similar climate and land covers. The significance of this study can be summed up in its novel approach to analyzing the relationship between LST and land covers that uses freely available spatial data and, therefore, can easily be replicated in other regional contexts to derive appropriate policy recommendations.Land cover changes, and, in particular, transitions from natural and semi-natural areas to artificial land covers, affect regional and local temperatures [6]. In fact, although urban areas and their surroundings receive the same amount of solar radiation, the local temperatures differ because different surface materials have different heat capacity [7]. From this perspective, land surface temperature (LST) is a significant parameter for investigating the effects of land covers on local temperatures.Hofierka et al.[8] define LST as "the radiative skin temperature of the ground", affected by solar reflectance, thermal emissivity, and heat capacity. In other words, LST combines interactions between land surface and atmosphere with ground-atmosphere energy fluxes. LST, measured through satellite thermal infrared sensors [9], represents a key climate variable, and its study allows researchers to analyze the behavior of the Earth's environmental system [10].Therefore, understanding how land cover changes affect climate represents a key element in international debates [11] that highlight that land cover can significantly affect quality of life, that is human health and safety, through its influence on LST [12,13]. The impacts on climate conditions generated by land-cover change processes can be effectively analyzed by assessing the relations between the spatial distribution of LST and that of land covers. The influence of land use/land cover changes on LST variation has been studied by various authors [6,[14][15][16][17][18]. Feizizadeh et al. [6] analyze the relations between LST and land use/land cover in Maraqeh County (Iran), using a method based on the application of the Surface Energy Bal...