{"title":"How landscape characteristics impact land surface temperature in the context of urban spatial heterogeneity: A case study from Beijing, China","authors":"Wei Chen , Jianjun Zhang , Chenyan Huang , Shu Fu","doi":"10.1016/j.uclim.2025.102366","DOIUrl":null,"url":null,"abstract":"<div><div>Research on the influence of landscape characteristics on land surface temperature (LST) at the block scale remained relatively limited, particularly in contexts where urban structures exhibited spatial heterogeneity. This study categorized urban spaces of Beijing, China, by using the Self-Organizing Feature Map (SOFM) network model and analyzed the impact of landscape characteristics on LST. Results showed a maximum mean LST difference of 4.23 °C between urban spaces. Patch density (PD), aggregation index (AI), and urban porosity (Por) had a significant impact on LST in any urban space, whereas the influences of other landscape pattern indices were comparatively weaker. The influence of landscape pattern indices on LST was constrained by urban spaces, which indicating an overall trend of “urban bare spaces” > “urban park spaces” > “urban building spaces”. The sensitivity of LST to landscape pattern index was higher in residential building and administrative office building space. A notable positive spatial autocorrelation of LST, with the urban space of commercial buildings exhibiting a stronger prevalence of high-high (H<img>H) clustering characteristics. These results can help urban planner to be utilized to reduce urban heat by adjusting the distribution of urban spaces and the landscape characteristics.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102366"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095525000823","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Research on the influence of landscape characteristics on land surface temperature (LST) at the block scale remained relatively limited, particularly in contexts where urban structures exhibited spatial heterogeneity. This study categorized urban spaces of Beijing, China, by using the Self-Organizing Feature Map (SOFM) network model and analyzed the impact of landscape characteristics on LST. Results showed a maximum mean LST difference of 4.23 °C between urban spaces. Patch density (PD), aggregation index (AI), and urban porosity (Por) had a significant impact on LST in any urban space, whereas the influences of other landscape pattern indices were comparatively weaker. The influence of landscape pattern indices on LST was constrained by urban spaces, which indicating an overall trend of “urban bare spaces” > “urban park spaces” > “urban building spaces”. The sensitivity of LST to landscape pattern index was higher in residential building and administrative office building space. A notable positive spatial autocorrelation of LST, with the urban space of commercial buildings exhibiting a stronger prevalence of high-high (HH) clustering characteristics. These results can help urban planner to be utilized to reduce urban heat by adjusting the distribution of urban spaces and the landscape characteristics.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]