To combat urban heat islands, comprehensive data on how urban morphological configuration affects temperature is needed. Remote sensing offers diverse products to characterize land surface and to monitor its character, and evaluate changing urban structure typologies. Green Infrastructure Typology (GIT) by Bartesaghi-Koc et al. (2019) is a relatively new typology that combines physical structure (vegetation strata, built structures and water) and spatial descriptors of urban structures as a basis to describe urban climate parameters. Using the city of Stuttgart, Germany as a case study, we assessed the land surface temperature (LST) of GIT classes. Our results indicate that GIT can be adapted for Stuttgart and be used as an approximation to identify urban heat islands and cooler areas, making it a valuable tool for planning resilient and sustainable cities.