Remote Sensing Technology and Application, Volume. 39, Issue 3, 659(2024)

Exploring Urban Expending Pattern of Gansu Province Using Time Series of Nighttime Light Remote Sensing Data

Weizhe DU, ruining WANG, Weijie YU, Xingyun LIU, Yaofeng ZHANG, and Yanyun NIAN*
Author Affiliations
  • College of Resource and Department, Lanzhou University, Lanzhou730106, China
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    Figures & Tables(10)
    Study area
    Variation of standard deviation ellipse of nighttime lighting in Gansu Province (2010~2020)
    Kernel density map of night lights in Gansu Province
    Expansion mode of built-up areas in prefecture-level cities in Gansu Province
    • Table 1. Night light data related parameters

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      Table 1. Night light data related parameters

      参数参数
      覆盖范围全球时间跨度2000~2020
      空间坐标WGS84单位nWcm-2sr-1
      空间分辨率15弧秒时间分辨率1 a
    • Table 2. Variation of standard deviation ellipse parameters of night lights in Gansu province

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      Table 2. Variation of standard deviation ellipse parameters of night lights in Gansu province

      年份中心坐标中心位移长轴与短轴方位角
      X坐标Y坐标方向距离长轴长短轴长
      2010221.903 852.44起始点461.56141.83124.85°
      2012238.733 854.99东北17.02448.13152.28123.86°
      2014269.923 834.46东南37.34436.30156.99122.99°
      2016270.613 845.58东北11.14450.16159.11121.02°
      2018293.563 838.56东南23.99445.99160.32119.49°
    • Table 3. Expansion speed and intensity of built-up areas in various cities in Gansu Province (2010<bold>~</bold>2020)

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      Table 3. Expansion speed and intensity of built-up areas in various cities in Gansu Province (2010<bold>~</bold>2020)

      地区10~14扩张速度14~20扩张速度总体扩张速度总体扩张强度
      全省7.80%2.57%5.15%0.72
      白银市0.42%2.05%1.42%0.28
      定西市-4.60%15.23%5.62%1.01
      甘南州81.82%10.93%60.74%0.40
      嘉峪关市0.30%-2.93%-1.66%-6.85
      金昌市9.26%-2.29%1.82%0.75
      酒泉市8.00%6.40%8.27%0.21
      兰州市7.18%1.25%3.84%6.19
      临夏州-7.35%0.43%-2.76%-0.76
      陇南市9.84%7.13%9.89%0.47
      平凉市2.17%6.55%5.14%1.15
      庆阳市24.32%3.56%13.94%2.04
      天水市16.01%1.90%8.28%1.92
      武威市14.18%-0.95%4.78%0.45
      张掖市35.83%8.48%26.71%0.90
    • Table 4. Changes in the fractal dimension and compactness of the built-up area in Gansu Province by prefecture-level cities (2010<bold>~</bold>2020)

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      Table 4. Changes in the fractal dimension and compactness of the built-up area in Gansu Province by prefecture-level cities (2010<bold>~</bold>2020)

      地区10分形维数14分形维数20分形维数10紧凑度14紧凑度20紧凑度
      白银市1.141.111.110.260.330.34
      定西市1.151.141.130.300.260.29
      甘南州1.041.081.140.600.480.28
      嘉峪关市1.101.101.090.370.360.39
      金昌市1.151.091.050.230.410.56
      酒泉市1.141.171.170.220.190.19
      兰州市1.121.151.170.310.210.18
      临夏州1.111.111.100.360.350.38
      陇南市1.131.141.150.290.280.25
      平凉市1.181.131.130.190.290.29
      庆阳市1.141.211.200.260.130.14
      天水市1.111.141.140.340.260.26
      武威市1.121.121.090.320.300.42
      张掖市1.131.131.070.280.300.47
    • Table 5. Distribution of prefecture-level cities in Gansu Province according to the “rank order-scale” rule

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      Table 5. Distribution of prefecture-level cities in Gansu Province according to the “rank order-scale” rule

      年份齐普夫指数理论最大值相关系数R2
      20100.89210.0030.865
      20121.00010.3890.953
      20140.87210.5410.912
      20160.92210.6710.936
      20180.96210.9620.936
      20200.89610.8600.951
    • Table 6. Correlation coefficient matrix of each independent variable with total night light and center of gravity coordinates of night light

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      Table 6. Correlation coefficient matrix of each independent variable with total night light and center of gravity coordinates of night light

      人口城镇人口占比GDP二三产GDP占比固定资产投资额人均住房面积年降水量汽车总量
      夜光总量-0.9660.9800.981-0.3430.4230.9430.7350.964
      X坐标-0.9470.9410.955-0.1970.5320.9210.6480.937
      Y坐标0.650-0.594-0.637-0.105-0.497-0.586-0.362-0.576
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    Weizhe DU, ruining WANG, Weijie YU, Xingyun LIU, Yaofeng ZHANG, Yanyun NIAN. Exploring Urban Expending Pattern of Gansu Province Using Time Series of Nighttime Light Remote Sensing Data[J]. Remote Sensing Technology and Application, 2024, 39(3): 659

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    Paper Information

    Category:

    Received: Nov. 3, 2022

    Accepted: --

    Published Online: Dec. 9, 2024

    The Author Email: NIAN Yanyun (yynian@lzu.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2024.3.0659

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