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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (1) : 169-176     DOI: 10.6046/zrzyyg.2021118
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Spatio-temporal evolution of Ningxia urban agglomeration along the Yellow River based on nighttime light remote sensing
BU Ziqiang(), BAI Linbo, ZHANG Jiayu()
School of Geography and Planning, Ningxia University, Yinchuan 750021, China
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Abstract  

This study analyzed the spatio-temporal evolutionary characteristics of the Ningxia urban agglomeration along the Yellow River during 1998—2018 from the aspects of morphology, scale, and structure. To this end, the urban built-up area in the study area during the 20 years was extracted from five stages of DMSP/OLS and NPP/VIIRS nighttime light data using a high-resolution data comparison method. The results are as follows: ①The Ningxia urban agglomeration along the Yellow River expanded rapidly during 1998—2018, and the increment and growth rate peaked during 2008—2013. ②The constantly decreased fragmentation degree indicates that the inner morphology of the urban agglomeration became increasingly compact and the built-up patches were relatively concentrated. The fractal dimension continuously decreased, and the geometric shape of the urban agglomeration tended to be regular. Moreover, the urban agglomeration mainly expanded in the means of internal filling. ③The center of the urban agglomeration migrated to the southwest and approached its geometric center, and the urban development accelerated in the south. ④The primacy ratio and Gini coefficient of the urban agglomeration first decreased and then increased, indicating that the gap between cities in the urban agglomeration first narrowed and then widened.

Keywords Ningxia urban agglomeration along the Yellow River      nighttime light data      built-up area      spatio-temporal evolution     
ZTFLH:  TP79  
Corresponding Authors: ZHANG Jiayu     E-mail: 13730100881@163.com;zhangjy@nxu.edu.cn
Issue Date: 14 March 2022
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Ziqiang BU
Linbo BAI
Jiayu ZHANG
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Ziqiang BU,Linbo BAI,Jiayu ZHANG. Spatio-temporal evolution of Ningxia urban agglomeration along the Yellow River based on nighttime light remote sensing[J]. Remote Sensing for Natural Resources, 2022, 34(1): 169-176.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021118     OR     https://www.gtzyyg.com/EN/Y2022/V34/I1/169
数据类型 数据名称 年份 分辨率/m
夜间灯光数据 DMSP/OLS 1998年、2003年、2008年、2013年 1 000
NPP/VIIRS 2013年、2018年 430
Landsat系列数据 TM 1998年、2003年、2008年 30
OLI 2013年、2018年 15
Tab.1  Night light data and Landsat data
Fig.1  Corrected light image data set
Fig.2  Spatiotemporal evolution of urban agglomerations built-up area along the Yellow River in Ningxia
Fig.3  Change of total amount of nighttime light in cities of urban agglomeration
地区 增量 增速/%
1998—2003年 2003—2008年 2008—2013年 2013—2018年 1998—2003年 2003—2008年 2008—2013年 2013—2018年
银川市 3 082 3 559 13 594 7 173 67.87 46.69 121.57 28.95
石嘴山市 2 503 2 760 3 531 716 125.59 61.39 48.66 6.64
吴忠市 420 300 3 396 1 192 53.30 24.83 225.20 24.31
中卫市 273 1 015 1 004 430 81.25 166.67 61.82 16.36
城市群 6 278 7 634 21 525 9 511 81.98 54.78 99.79 22.07
Tab.2  Light increment and growth rate
Fig.4  Standard deviation ellipse change of urban agglomerations along the Yellow River in Ningxia
年份 面积/km2 周长/km 图斑数/个 分形维数 破碎度
1998年 113.32 244.98 25 1.74 0.22
2003年 170.46 332.56 19 1.72 0.11
2008年 266.19 395.98 16 1.65 0.06
2013年 475.90 488.53 13 1.56 0.03
2018年 573.54 531.70 10 1.54 0.02
Tab.3  Fractal dimension and fragmentation
Fig.5  Primacy and Gini coefficient of urban agglomeration
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