Supplementing street view imagery to local climate zones for modeling land surface temperature: a case study of Guangzhou

Xiang Xu, Xintong Lyu, Wenjing Li, Waishan Qiu

Published: 01 Jul 2025, Last Modified: 19 Oct 2025Sustainable Cities and SocietyEveryoneRevisionsCC BY-SA 4.0
Abstract: Highlights•SUHI studies using only GIS and RS data have limitations.•SVI was used to capture ground-level streetscapes in Guangzhou.•SVI enhances UHI modeling with stronger explanatory power than GIS and RS alone.•Spatial regression reveals significant UHI spillover effects.•Sky view factor showed a positive correlation with UHI.
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