Correlation Analysis between Urban Green Space and Land Surface Temperature from the Perspective of Spatial Heterogeneity: A Case Study within the Sixth Ring Road of Beijing

Abstract

Urban greening has been widely regarded as the most effective, lasting, and economical strategy for alleviating the effects of urban heat islands (UHIs). Previous studies on the cooling effect of urban green spaces (UGSs) tend to analyze the correlation between landscape metrics and land-surface temperature (LST) based on a global parameter estimation, while ignoring urban heterogeneity and autocorrelation. This study focuses on the sixth ring road of Beijing and uses Landsat 8 imagery to retrieve the LST and extract the position of UGSs. We propose a new approach to optimize the selection of landscape metrics, to identify the least and most effective metrics to establish a geographically weighted regression (GWR) model, and to plot the distribution of local regression coefficients to investigate the spatially heterogeneous cooling effects of greenspaces. The effect of UGS landscape metrics on the LST differs according to spatial location; the method enhances our understanding of the effects of UGS spatial configuration on UHIs and better guides the planning and construction of future UGSs.

Avaliando o serviço ecossistêmico de regulação climática local e os efeitos da estrutura da paisagem em sua provisão

“…In light of the growing urbanization and the associated challenges of increasing temperatures in cities, this study aims to deep the understanding on how landscape affects local climate regulation service, with a particular focus on the configuration effects, which are still controversial between different study areas Fu et al, 2022;Liu et al 2022). We expand the usual studies that look only at vegetation, by focusing on both vegetated and built areas, and on their interaction.…”