Students collaborated with CEE Professors David Carlson and Mike Bergin to model the effects of land use on the urban heat island effect using satellite imagery and ground-level temperature measurements. Students used machine learning to segment satellite images of Durham, North Carolina by land use. They then paired land use classifications with ground-level temperature measurements to understand the relationship between land use and local temperature. This work seeks to measure the urban heat island effect at smaller scales than previous research so that we may understand the most effective interventions to reduce heat stress in Durham, North Carolina. The models from this work will then be applied to other locations in the United States.
Project Leads: David Carlson and Professor Michael Bergin, CEE
Project Manager: Zach Calhoun, CEE
View the team’s project poster here: Team2
View the team’s project video here:
