Nighttime light remote sensing for urban applications: Progress, challenges, and prospects

National University of Singapore · Hong Kong Polytechnic University · +3 more institutions

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Abstract

Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the extent and intensity of human activities and have been extensively used to understand urbanization since 1992. The recent proliferation of NTL sensors, algorithms, and products creates new opportunities to understand contemporary urbanization and the associated socioeconomic and environmental changes. We conducted a comprehensive literature review of 688 peer-reviewed papers published between 1992 and 2022 to understand the trends in how NTL data have been used to study urbanization (e.g., with which data products, during which time span, and in which geographies) and to synthesize the progress and challenges of key…

Citation impact

240
total citations
FWCI
36.39
Percentile
100%
References
206
Citations per year

Authors

5

Topics & keywords

Keywords
  • Urbanization
  • Geospatial analysis
  • Data science
  • Scale (ratio)
  • Process (computing)
  • Socioeconomic status
  • Geography
  • Computer science
UN Sustainable Development Goals
  • Sustainable cities and communities
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Funding