 Land surface temperature, LST, is a crucial variable in various studies related to land surface conditions, urban climate, evapotranspiration, and vegetation stress. The Landsat series of satellites can provide high resolution LST estimates, making it suitable for local or small scale studies. Numerous algorithms have been proposed for LST retrieval from the Landsat series, but most datasets require users to handle large volumes of data. Google Earth Engine, GEE, is an online platform that allows remote sensing users to perform big data analyses without increasing demand for local computing resources. However, high resolution LST datasets are not currently available in GEE. This study provides a code repository that enables users to compute LSTs from Landsat 4, 5, 7, and 8 within GEE, which may be used freely for any analysis within the platform. This article was authored by Sophia L. Ermida, Patricia Soares, Vasco Mantas, and others. We are article.tv, links in the description below.