Investigation of nighttime light pollution in Nanjing, China by mapping illuminance from field observations and luojia 1-01 imagery

18Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

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, R2 = 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.

Cite

CITATION STYLE

APA

Li, J., Xu, Y., Cui, W., Ji, M., Su, B., Wu, Y., & Wang, J. (2020). Investigation of nighttime light pollution in Nanjing, China by mapping illuminance from field observations and luojia 1-01 imagery. Sustainability (Switzerland), 12(2). https://doi.org/10.3390/su12020681

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free