Extreme urban temperatures pose a significant threat to human health, and are expected to worsen in a warming climate. While many heat island studies use land surface temperature to estimate exposure, air temperatures are more relevant to human health and comfort. The Tech Climate Network (TCN) was established to monitor 37 sites across the campus of the Georgia Institute of Technology and surrounding neighborhoods in various built and vegetated environments. This study seeks to answer: What is the distribution and intensity of the urban heat island on campus, and what impacts do surface-level land cover and surrounding tree canopy have on average summer air temperatures? Using multiple regression models, we examine the relationship between land cover parameters and minimum, maximum, and average air temperatures in the summer of 2017. We found that vegetated sites had lower temperatures than predominantly impervious environments, with differences in maximum temperatures up to 3.77 °C. UHI intensities were significantly correlated with tree canopy and landscaping. By characterizing the thermal properties of built and natural environments in such a diverse campus as Georgia Tech, this method allows for the estimation of local air temperatures without deploying a dense network of sensors.

极端的城市温度对人类健康构成重大威胁，预计在变暖的气候下会恶化。虽然许多热岛研究都使用陆地表面温度来估算暴露程度，但空气温度与人体健康和舒适度更为相关。建立了技术气候网络（TCN），以监控佐治亚理工学院校园内以及周围各种建筑和植被环境中的37个站点。本研究旨在回答：校园中城市热岛的分布和强度是多少，地表覆盖的土地和周围的树冠对夏季平均气温有什么影响？使用多元回归模型，我们研究了2017年夏季土地覆盖参数与最低，最高和平均气温之间的关系。我们发现，与主要的不渗透环境相比，植被所在地的温度更低，最高温度的差异高达3.77°C。超高强度强度与树冠和美化环境显着相关。通过在像佐治亚理工大学这样的多元化校园中表征建筑环境和自然环境的热特性，该方法无需安装密集的传感器网络就可以估算局部空气温度。