The Innovation Geoscience > 2023 Vol. 1 > No. 3 > 100043
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Nighttime light remote sensing in characterizing urban spatial structure

  • 1.

    School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China

  • 2.

    Engineering Technology Research Center of Resources Environment and Geographic Information System of Anhui Province, Anhui Normal University, Wuhu 241002, China

  • 3.

    The Academy of Digital China, Fuzhou University, Fuzhou 350002, China

  • 4.

    College of Geography and Remote Sensing, Hohai University, Nanjing 210098, China

  • 5.

    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

  • 6.

    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

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The Innovation Geoscience  1(3),  https://doi.org/10.59717/j.xinn-geo.2023.100043  |  Cite this article
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    • REFERENCES
  • [1] Levin, N., Kyba, C.C., Zhang, Q., et al. (2020). Remote sensing of night lights: A review and an outlook for the future. Remote Sens Enviro 237, 111443.

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    [2] Zheng, Q., Seto, K.C., Zhou, Y., et al. (2023). Nighttime light remote sensing for urban applications: Progress, challenges, and prospects. Remote Sens Enviro 202, 125−141.

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    [3] Bennett, M. M., & Smith, L. C. (2017). Advances in using multitemporal nighttime lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics. Remote Sens Enviro 192, 176−197.

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    [4] Shi, K., Yu, B., Ma, J., et al. (2023). Impacts of slope climbing of urban expansion on global sustainable development. The Innovation 4, 100529.

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    [5] Yu, B., Wang, C., Gong, W., et al. (2021). Nighttime light remote sensing and urban studies: Data, methods, applications, and prospects. National Remote Sensing Bulletin 25 , 342-364. (In Chinese

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  • Cite this article:

    Shi K., Ma J., Chen Z., et al., (2023). Nighttime light remote sensing in characterizing urban spatial structure. The Innovation Geoscience 1(3), 100043. https://doi.org/10.59717/j.xinn-geo.2023.100043
    Shi K., Ma J., Chen Z., et al., (2023). Nighttime light remote sensing in characterizing urban spatial structure. The Innovation Geoscience 1(3), 100043. https://doi.org/10.59717/j.xinn-geo.2023.100043

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