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Sustainability 2015, 7(7), 9478-9504; doi:10.3390/su7079478

Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing

1
College of Civil Engineering and Architecture, Zhejiang University of Technology, No. 18 Chaowang Rd., Hangzhou 210014, China
2
Department of Geography, Kent State University, Kent, OH 44242, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 27 April 2015 / Revised: 8 July 2015 / Accepted: 10 July 2015 / Published: 17 July 2015
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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. View Full-Text
Keywords: urban vegetation abundance; urban forest abundance; land surface temperature; Beijing urban vegetation abundance; urban forest abundance; land surface temperature; Beijing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Huang, C.; Ye, X. Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing. Sustainability 2015, 7, 9478-9504.

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