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UAV-based spatial pattern of three-dimensional green volume and its influencing factors in Lingang New City in Shanghai, China

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Abstract

Three-dimensional green volume (TDGV) reflects the quality and quantity of urban green space and its provision of ecosystem services; therefore, its spatial pattern and the underlying influential factors play important roles in urban planning and management. However, little is known about the factors contributing to the spatial pattern of TDGV. In this paper, TDGV and land use intensity (LUI) extracted from high spatial resolution (0.05 m) remotely sensed data acquired by an unmanned aerial vehicle (UAV), anthropogenic factors1) and natural factors2) were utilized to identify the spatial pattern of TDGV and the potential influencing factors in Lingang New City, a rapidly developed coastal town in Shanghai. The results showed that most of the TDGV was distributed in the western part of this new city and that its spatial variations were significantly axial. TDGV corresponded well with the chronologies of land formation, urban planning, and construction in the city. Generalized least squares (GLS) analysis of TDGV (grid cell size: 100 × 100 m) and its influencing factors showed that the TDGV in this new city was significantly negatively correlated with both LUI and distance from roads and significantly positively correlated with land formation time and distance from water. Distance from buildings did not affect TDGV. Additionally, the degree of influence decreased in the following order: distance from water > land formation time > distance from roads > LUI. These results indicate that the spatial pattern of TDGV in this new town was mainly affected by natural factors (i.e., the distance from water and land formation time) and that the artificial disturbances caused by rapid urbanization did not decrease the regional TDGV. The main factors shaping the spatial distribution of TDGV in this city were local natural factors. Our findings suggest that the improvement in local soil and water conditions should be emphasized in the construction of new cities in coastal areas to ensure the efficient provision of ecological services by urban green spaces.

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Acknowledgements

This work was supported by the National Key R&D Program of China (No. 2016YFC0502704) and Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration (No. SHUES2018B07).

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Authors and Affiliations

  1. College of Biology and the Environment, Nanjing Forestry University, Nanjing, 210037, China

    Sijun Zheng, Jianhui Xue & Yongbo Wu

  2. Shanghai Academy of Landscape Architecture Science and Planning, Shanghai, 200241, China

    Sijun Zheng, Jing Liang & Lang Zhang

  3. School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China

    Chen Meng

  4. Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, Shanghai, 200241, China

    Chen Meng

  5. Shanghai Institute of Surveying and Mapping, Shanghai, 200063, China

    Liang Xin

Authors
  1. Sijun Zheng
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  2. Chen Meng
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  3. Jianhui Xue
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  4. Yongbo Wu
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  5. Jing Liang
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  7. Lang Zhang
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Correspondence to Jianhui Xue.

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Zheng, S., Meng, C., Xue, J. et al. UAV-based spatial pattern of three-dimensional green volume and its influencing factors in Lingang New City in Shanghai, China. Front. Earth Sci. 15, 543–552 (2021). https://doi.org/10.1007/s11707-021-0896-7

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  • DOI: https://doi.org/10.1007/s11707-021-0896-7

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