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

Author

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  • Chudong Huang

    (College of Civil Engineering and Architecture, Zhejiang University of Technology, No. 18 Chaowang Rd., Hangzhou 210014, China)

  • Xinyue Ye

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

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.

Suggested Citation

  • Chudong Huang & Xinyue Ye, 2015. "Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing," Sustainability, MDPI, vol. 7(7), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:7:p:9478-9504:d:52742
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    References listed on IDEAS

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    1. repec:asg:wpaper:1039 is not listed on IDEAS
    2. Y.H. Dennis Wei & Xinyue Ye, 2009. "Beyond Convergence: Space, Scale, And Regional Inequality In China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 100(1), pages 59-80, February.
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    Cited by:

    1. Feng Zhang & Jingwei Zhou & Renyi Liu & Zhenhong Du & Xinyue Ye, 2016. "A New Design of High-Performance Large-Scale GIS Computing at a Finer Spatial Granularity: A Case Study of Spatial Join with Spark for Sustainability," Sustainability, MDPI, vol. 8(9), pages 1-19, September.
    2. Alenka Fikfak & Saja Kosanović & Miha Konjar & Janez P. Grom & Martina Zbašnik-Senegačnik, 2017. "The Impact of Morphological Features on Summer Temperature Variations on the Example of Two Residential Neighborhoods in Ljubljana, Slovenia," Sustainability, MDPI, vol. 9(1), pages 1-20, January.
    3. Yuanzheng Li & Zezhi Zhao & Yashu Xin & Ao Xu & Shuyan Xie & Yi Yan & Lan Wang, 2022. "How Are Land-Use/Land-Cover Indices and Daytime and Nighttime Land Surface Temperatures Related in Eleven Urban Centres in Different Global Climatic Zones?," Land, MDPI, vol. 11(8), pages 1-22, August.
    4. Jong-Hwa Park & Gi-Hyoug Cho, 2016. "Examining the Association between Physical Characteristics of Green Space and Land Surface Temperature: A Case Study of Ulsan, Korea," Sustainability, MDPI, vol. 8(8), pages 1-16, August.
    5. Alenka Fikfak & Kristijan Lavtižar & Janez Peter Grom & Saja Kosanović & Martina Zbašnik-Senegačnik, 2020. "Study of Urban Greenery Models to Prevent Overheating of Parked Vehicles in P + R Facilities in Ljubljana, Slovenia," Sustainability, MDPI, vol. 12(12), pages 1-18, June.

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