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Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data

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Abstract

When assessing remote sensing data, nighttime light data have shortcomings that can be attributed to sensor limitations and the influence of the natural environment. Signal leakage errors in nighttime light data were identified in this study. A regression model was created to reduce signal leakage error by selecting sampling points in coastal area. Lighting variations in Edogawa between 2008 and 2013 were compared based on the Defense Meteorological Satellite Program’s nighttime light data. The lighting variation characteristics in Edogawa from 1992 to 2012 at 5-year intervals were also analyzed. The results show that the 2002 FIFA World Cup held in Japan led Edogawa’s light digital number values to peak in 2002. The annual Edogawa lighting changes from 2007 to 2013 were also explored. The 2008 global financial crisis led to the lowest compounded night light index and average digital number in Edogawa during these 7 years.

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Acknowledgements

This work is supported by National Key R&D Program of China (2017YFC0406004), NSFC (41271004).

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Authors and Affiliations

  1. Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, 100048, China

    Yang Cao, Jing Zhang, Binbin Guo & Peng Gao

  2. Graduate School of Integrate Arts and Sciences, Hiroshima University, Hiroshima, 7398521, Japan

    Yang Cao & Liu Yang

  3. China Institute of Water Resource and Hydropower Research, Beijing, 100038, China

    Mingxiang Yang

  4. Graduate School of Education, Hiroshima University, Hiroshima, 7398521, Japan

    Mei Liu & Jiashen Qu

Authors
  1. Yang Cao
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  2. Jing Zhang
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  3. Mingxiang Yang
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  4. Binbin Guo
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  5. Mei Liu
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  6. Liu Yang
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  7. Jiashen Qu
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  8. Peng Gao
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Correspondence to Jing Zhang.

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Cao, Y., Zhang, J., Yang, M. et al. Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data. J Indian Soc Remote Sens 46, 1617–1623 (2018). https://doi.org/10.1007/s12524-018-0815-x

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  • DOI: https://doi.org/10.1007/s12524-018-0815-x

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