Spatial modeling of urban vegetation and land surface temperature: A case study of beijing

Chudong Huang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The coupling relationship between urban vegetation and land surface temperature (LST) has been heatedly debated in a variety of environmental studies. This paper studies the urban vegetation information and LST by utilizing a series of remote sensing imagery covering the period from 1990 to 2007. Their coupling relationship is analyzed, in order to provide the basis for ecological planning and environment protection. The results show that the normalized difference vegetation index (NDVI), urban vegetation abundance (UVA) and urban forest abundance (UFA) are negatively correlated with LST, which means that both urban vegetation and urban forest are capable in decreasing LST. The apparent influence of urban vegetation and urban forest on LST varies with the spatial resolution of the imagery, and peaks at the resolutions ranging from 90 m to 120 m.

Original languageEnglish (US)
Pages (from-to)9479-9504
Number of pages26
JournalSustainability (Switzerland)
Volume7
Issue number7
DOIs
StatePublished - 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Keywords

  • Beijing
  • Land surface temperature
  • Urban forest abundance
  • Urban vegetation abundance

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