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Investigation of Nighttime Light Pollution in Nanjing, China by Mapping Illuminance from Field Observations and Luojia 1-01 Imagery

Author

Listed:
  • Jiayi Li

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Yongming Xu

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Weiping Cui

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Meng Ji

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Boyang Su

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Yuyang Wu

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Jing Wang

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Abstract

In recent years, the number of artificial light sources has tremendously increased with the development of lighting technology and the economy. Nighttime light pollution has been an increasing environmental problem, resulting in negative impacts on human health and the ecological environment. Detailed knowledge of light pollution is important for the planning and management of urban lighting. In this study, light pollution in Nanjing, China was monitored and analyzed using field observations and a 130-m resolution Luojia 1-01 nighttime light imagery. Combined with in situ observations and satellite imagery, a variety of empirical models were established for estimating ambient illuminance at night. Cross-validation was employed to assess the performance of these models, indicating that the third-degree polynomials model had the best performance (MAE = 5.06 lx, R 2 = 0.81). The developed third-degree polynomial model was then applied to the Luojia 1-01 image to map the nighttime illuminance in Nanjing. The nighttime illuminance depicted the spatial pattern of the light environment over Nanjing and also indicated some heavily light-polluted areas. Some lit areas were residential areas, whose high brightness had negative effects on residents and need particular attention. This study provides a quantitative and objective reference for the light pollution management in Nanjing, and also a reference for light pollution survey in other regions.

Suggested Citation

  • Jiayi Li & Yongming Xu & Weiping Cui & Meng Ji & Boyang Su & Yuyang Wu & Jing Wang, 2020. "Investigation of Nighttime Light Pollution in Nanjing, China by Mapping Illuminance from Field Observations and Luojia 1-01 Imagery," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:681-:d:309892
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    References listed on IDEAS

    as
    1. Gallaway, Terrel & Olsen, Reed N. & Mitchell, David M., 2010. "The economics of global light pollution," Ecological Economics, Elsevier, vol. 69(3), pages 658-665, January.
    2. Xueting Jin & Yu Li & Jinzhou Zhang & Ji Zheng & Huiping Liu, 2017. "An Approach to Evaluating Light Pollution in Residential Zones: A Case Study of Beijing," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    3. Hong Soo Lim & Jack Ngarambe & Jeong Tai Kim & Gon Kim, 2018. "The Reality of Light Pollution: A Field Survey for the Determination of Lighting Environmental Management Zones in South Korea," Sustainability, MDPI, vol. 10(2), pages 1-11, January.
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