Urban sprawl metrics based on night-time light data for metropolitan areas
Lu LIU1,2()
1. School of Urban Planning and Management,Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518000, China 2. Center for Assessment and Development of Real Estate, Shenzhen 518000, China
In the process of urbanization, a phenomenon called “urban sprawl” usually occurs. In the aspect of measuring and comparing urban sprawls among metropolitan areas, consistent and easy measuring or calculations are lacking although they are urgently required. Therefore, this study aims to introduce a set of metrics of urban sprawl, which include intensity, coefficient of variation, poly-centers and centrality extracted from the night-time light (NTL)data. Moreover, 50 metropolitan areas in China were used to test the feasibility of these metrics in representing urban sprawl and clarify the situation in China. The results show that these metrics are independent of each other, and can represent the urban sprawl accurately from various perspectives. The methods proposed in this paper would provide the useful tools for government and urban planners to understand urban sprawl so as to make appropriate policy and plan to achieve sustainable development of the metropolitan areas.
刘璐. 基于夜间灯光数据的城市群蔓延指标[J]. 国土资源遥感, 2018, 30(2): 208-213.
Lu LIU. Urban sprawl metrics based on night-time light data for metropolitan areas. Remote Sensing for Land & Resources, 2018, 30(2): 208-213.
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