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Kinetic energy assessment and similarity analysis of urban development based on NPP-VIIRS nighttime light remote sensing

  • role： First author第一作者
  • Affiliation：

    Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China

    Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China

  • Email：lbj012@126.com
  • Introduction：刘冰洁,1996年生,女,硕士研究生,研究方向为城市遥感。E-mail: lbj012@126.com
LIU Bingjie12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China

    Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China

  • Email：zqchen@fzu.edu.cn
  • Introduction：陈佐旗,1990年生,男,助理研究员,研究方向为城市遥感与GIS开发。E-mail: zqchen@fzu.edu.cn
CHEN Zuoqi12*,  
  • Affiliation：

    School of Geographic Sciences, East China Normal University, Shanghai 200241, China

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China

YU Bailang34,  
  • Affiliation：

    School of Geographic Sciences, East China Normal University, Shanghai 200241, China

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China

YANG Chengshu34,  
  • Affiliation：

    Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China

    Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China

QIU Bingwen12,  
  • Affiliation：

    Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China

    Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China

TU Yue12

resumen

Urban development assessment is helpful for urban planning and urban development policies. Census, survey, and nighttime light remote sensing data have been widely used to measure the urban development in previous research. However, most studies only focused on the size of urban development in a specific period and few of them have simultaneously considered the size and speed of urban development. A model that considers both the size and speed of urban development is necessary for evaluating the level of urban development, which is a dynamic process.On the basis of the nighttime light data of Suomi NPP-VIIRS from 2012 to 2019, the nighttime light kinetic energy index is proposed to measure the kinetic energy of urban development by considering the size and speed of urban development. Then, the Dynamic Time Warping (DTW) algorithm was utilized to measure the DTW distance using the nighttime light kinetic energy index. Finally, 328 cities in China were classified according to the DTW distance.Numerically, the nighttime light kinetic energy index in most cities increased significantly from 2013 to 2019, especially in the southeast coastal areas and central regions, and that in the northwest area has also increased greatly. In terms of spatial distribution, the original urban agglomerations composed of cities with high night-time lighting kinetic energy index values expanded from 2013 to 2019. The 328 cities were divided into five levels. The classified levels are more comprehensive and reasonable than the city rank released by First Finance in 2019. The Yangtze River Delta urban agglomeration was taken an example to analyze the synergy of urban agglomeration development, revealing that Tongling, Chizhou, and other cities in Anhui province still has a weak connection with the Yangtze River Delta urban agglomeration. The development of a hinterland city (such as Wuhu, Ma'anshan) is recommended to link these cities.

palabra clave

remote sensing;urban development level;NPP-VIIRS;nighttime light kinetic energy;DTW distance

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