Influence of Different Building Conditions on Land Surface Temperature

The study on the influence of urban building forms on land surface temperature (LST) can provide a scientific reference for building distribution optimization in mountain cities. This paper obtained the urban building properties such as building types, building floors from field investigation based on high-resolution remote sensing images. The LST was calculated by the Radiative Transfer Equation method based on Landsat-8 data in 2021. We constructed five factors of urban building forms (average building density, average building height, floor area ratio, average building volume, and sky view factor) to analyze the correlation between urban building forms and LST. The result showed, only average building density had a certain correlation with LST, while other factors had a small correlation which indicated some factors of urban building forms may not fully reflect the characteristics of LST in mountain cities. By constructing multiple linear regression models between five factors of urban building forms and LST, we found that when the number of factors increased, the more accurate the models were, with higher the computational complexity. However, the increase of model accuracy gradually slowed down when the number of factors exceeded 3. It was appropriate to choose linear regression models of 2-factors or 3-factors to simulate LST.