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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (2) : 289-295     DOI: 10.6046/zrzyyg.2020380
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Monitoring of nighttime light pollution in Nanjing City based on Luojia 1-01 remote sensing data
LI Jiayi(), XU Yongming(), CUI Weiping, WU Yuyang, WANG Jing, SU Boyang, JI Meng
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Abstract  

To obtain the distribution of nighttime light pollution on a city scale, this study monitors the nighttime light pollution in Nanjing City based on Luojia 1-01 nighttime light remote sensing images. The apparent radiance of the remote sensing images was converted into the surface incident luminance according to surface reflectance and building coverage ratio. Based on this and the illuminance values observed in the field, various empirical models were established to calculate the nighttime illuminance of Nanjing City. Finally, the distribution of nighttime light pollution in Nanjing City was analyzed according to the calculated nighttime illuminance. The results show that the third-order polynomial regression model had the highest accuracy, with a determination coefficient of 0.87 and a mean absolute error (MAE) of 4.71 lx. The nighttime illuminance in Nanjing City varied in the range of 0~55 lx, with obvious spatial distribution differences. In general, the areas with high illuminance were mainly concentrated in the main urban area and the illuminance showed a decreasing trend from the main urban area to the surrounding area. Light pollution was the most serious in Gulou and Qinhuai districts, where light pollution covered more than 70% in terms of area. The light pollution in the suburb was relatively weak, and the three districts with the weakest light pollution included Gaochun, Lishui, and Liuhe districts successively, where light pollution covered less than 4% in terms of area. Some areas in Nanjing City showed extremely high illuminance (> 30 lx), including large shopping malls, large factories, traffic hubs, roads, and some residential areas. It should be noted that there are many residential areas near these places except for traffic hubs and large factories. This study explored a method of monitoring urban light pollution at night based on Luojia 1-01 remote sensing data. It will provide data support for the light pollution control and management in Nanjing City and a scientific reference for the light pollution monitoring in other areas.
Keywords Luojia 1-01data      nighttime light pollution      illuminance      Nanjing City     
ZTFLH:  TP79  
  X87  
Corresponding Authors: XU Yongming     E-mail: jiayi_li4015@qq.com;xym30@263.net
Issue Date: 20 June 2022
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Jiayi LI
Yongming XU
Weiping CUI
Yuyang WU
Jing WANG
Boyang SU
Meng JI
Cite this article:   
Jiayi LI,Yongming XU,Weiping CUI, et al. Monitoring of nighttime light pollution in Nanjing City based on Luojia 1-01 remote sensing data[J]. Remote Sensing for Natural Resources, 2022, 34(2): 289-295.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2020380     OR     https://www.gtzyyg.com/EN/Y2022/V34/I2/289
Fig.1  Administrative divisions of Nanjing City
Fig.2  LJ 1-01 image acquired on 23 November 2018
Fig.3  Scatter plot of Radiance and surface incident luminance with observed illuminance
回归模型 回归方程
一元线性回归模型 Ev=aL↓+b
二阶多项式回归模型 Ev=a1 L ↓ 2+a2L↓+b
三阶多项式回归模型 Ev=a1 L ↓ 3+a2 L ↓ 2+a3L↓+b
指数回归模型 E v = e ( a L ↓ + b )
对数回归模型 Ev=aln(L↓)+b
Tab.1  Equations of empirical models
Fig.4  Scatter plots between observed and estimated horizontal Ev from five empirical models
Fig.5  Spatial distribution of the nighttime horizontal illuminance over Nanjing City
等级 光污染程度 照度值/lx
0级 无光污染 < 2.00
1级 轻度光污染 [2.00,5.00)
2级 中度光污染 [5.00,10.00)
3级 重度光污染 [10.00,25.00]
4级 严重光污染 >25.00
Tab.2  Classification standards for light pollution of different grades
Fig.6  Area proportion of each light pollution level in 11 districts of Nanjing City
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