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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (4) : 280-285     DOI: 10.6046/zrzyyg.2021369
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Coupling coordination analysis of urbanization and ecological environment based on nighttime light remote sensing
CHEN Hang(), LIU Hanhu(), LI Jinhao, FAN Shiling, GE Zongxu
School of Earth Sciences, Chengdu University of Technology, Chengdu 610059,China
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Abstract  

The scientific assessment of the overall status of the interactions between the urbanization and the ecological environment in Chengdu is of great significance for optimizing the pace and quality of urbanization and improving the quality of the ecological environment. This study adopted the nighttime light and Landsat remote sensing data obtained from the DMSP/OLS and the NPP/VIIRS. Based on these data, the normalized night light index (NNLI) characterizing the urbanization process and the remote sensing ecological index (RSEI) characterizing the ecological quality were constructed, respectively. Then, the two indices were combined into a coupling coordination degree model for evaluation of the coordination between the urbanization process and the ecological environment quality. The study results are shown as follows. The urbanization process in Chengdu had been accelerating from 2000 to 2018, with the NNLI increasing from 0.15 in 2000 to 0.81 in 2018. By contrast, the quality of the ecological environment was negatively affected by the urbanization process and showed a downward trend in some areas, with the RSEI decreasing from 0.63 in 2000 to 0.58 in 2018. The coupling coordination degree of urbanization and ecological environment in Chengdu was gradually improved. From 2000 to 2018, the coupling coordination state entered the stage of good coordination from imbalance. However, the overall urbanization process in Chengdu is ahead of the development of the ecological environment, which is lagging behind.
Keywords remote sensing      coupling      ecological environment      RSEI index     
ZTFLH:  TP79  
Issue Date: 27 December 2022
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Hang CHEN
Hanhu LIU
Jinhao LI
Shiling FAN
Zongxu GE
Cite this article:   
Hang CHEN,Hanhu LIU,Jinhao LI, et al. Coupling coordination analysis of urbanization and ecological environment based on nighttime light remote sensing[J]. Remote Sensing for Natural Resources, 2022, 34(4): 280-285.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021369     OR     https://www.gtzyyg.com/EN/Y2022/V34/I4/280
Fig.1  location of study area
Fig.2  Changes of NNLI of Chengdu from 2000 to 2018
年份 NNLI 最小值 最大值
2000年 0.15 0.04 0.22
2005年 0.17 0.03 0.78
2010年 0.36 0.09 0.95
2016年 0.48 0.34 0.74
2018年 0.81 0.73 0.92
Tab.1  NNLI in Chengdu from 2000 to 2018
Fig.3  Changes of RSEI in Chengdu from 2000 to 2018
区县 2000年 2005年 2010年 2016年 2018年
U E D C U E D C U E D C U E D C U E D C
中心城区 0.71 0.54 0.48 0.56 0.78 0.50 0.48 0.57 0.95 0.29 0.42 0.55 0.74 0.34 0.46 0.52 0.92 0.50 0.48 0.61
双流区 0.15 0.58 0.31 0.28 0.18 0.60 0.35 0.33 0.46 0.37 0.47 0.43 0.61 0.43 0.49 0.51 0.86 0.56 0.49 0.60
龙泉驿区 0.17 0.58 0.37 0.34 0.26 0.58 0.41 0.39 0.44 0.42 0.45 0.44 0.56 0.44 0.49 0.50 0.85 0.55 0.49 0.60
温江区 0.19 0.58 0.41 0.36 0.26 0.61 0.41 0.39 0.57 0.36 0.47 0.47 0.55 0.44 0.49 0.50 0.85 0.59 0.49 0.61
郫都区 0.22 0.61 0.41 0.38 0.21 0.63 0.38 0.37 0.58 0.36 0.47 0.48 0.56 0.41 0.49 0.50 0.86 0.58 0.49 0.61
新都区 0.19 0.59 0.41 0.37 0.24 0.62 0.42 0.40 0.61 0.39 0.48 0.50 0.58 0.37 0.48 0.49 0.86 0.57 0.49 0.61
新津县 0.13 0.62 0.37 0.33 0.11 0.62 0.34 0.31 0.41 0.40 0.48 0.44 0.52 0.41 0.49 0.48 0.83 0.56 0.49 0.60
青白江区 0.14 0.58 0.33 0.30 0.15 0.61 0.34 0.32 0.39 0.40 0.46 0.42 0.50 0.39 0.49 0.47 0.83 0.56 0.49 0.60
崇州市 0.07 0.69 0.22 0.21 0.06 0.66 0.20 0.19 0.17 0.45 0.30 0.25 0.38 0.51 0.48 0.45 0.76 0.63 0.50 0.60
都江堰市 0.07 0.70 0.24 0.23 0.07 0.64 0.21 0.20 0.17 0.45 0.31 0.26 0.37 0.52 0.48 0.45 0.75 0.62 0.50 0.59
彭州市 0.05 0.62 0.23 0.20 0.05 0.61 0.19 0.18 0.15 0.42 0.31 0.25 0.38 0.47 0.48 0.45 0.75 0.60 0.50 0.59
金堂县 0.04 0.64 0.11 0.10 0.04 0.62 0.17 0.16 0.12 0.42 0.27 0.21 0.39 0.40 0.49 0.44 0.77 0.56 0.49 0.58
大邑县 0.04 0.72 0.15 0.14 0.03 0.64 0.12 0.12 0.09 0.47 0.21 0.17 0.33 0.53 0.47 0.43 0.73 0.64 0.50 0.59
蒲江县 0.04 0.67 0.16 0.15 0.04 0.60 0.20 0.19 0.13 0.41 0.38 0.28 0.35 0.43 0.49 0.43 0.75 0.60 0.50 0.59
邛崃市 0.04 0.70 0.12 0.12 0.03 0.61 0.13 0.12 0.09 0.44 0.22 0.17 0.34 0.47 0.49 0.43 0.74 0.62 0.50 0.59
成都市 0.15 0.63 0.29 0.27 0.17 0.61 0.29 0.28 0.36 0.40 0.38 0.35 0.48 0.44 0.48 0.47 0.81 0.58 0.60 0.52
Tab.2  Coupling and coordination status in various regions of Chengdu from 2000 to 2018
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