PlumX Metrics
Embed PlumX Metrics

Temporal variations of artificial nighttime lights and their implications for urbanization in the conterminous United States, 2013–2017

Remote Sensing of Environment, ISSN: 0034-4257, Vol: 225, Page: 160-174
2019
  • 80
    Citations
  • 0
    Usage
  • 68
    Captures
  • 2
    Mentions
  • 132
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    80
    • Citation Indexes
      80
  • Captures
    68
  • Mentions
    2
    • News Mentions
      1
      • News
        1
    • References
      1
      • Wikipedia
        1
  • Social Media
    132
    • Shares, Likes & Comments
      132
      • Facebook
        132

Most Recent News

Illuminating insights: harnessing NASA's Black Marble with R and Python packages

Satellite imagery of nighttime lights has become a widely used data source across various sectors. Nighttime lights functions as a proxy for local economic activity

Article Description

Artificial nighttime lights (NTL) generated by human activities offer a unique opportunity to understand urban environments. Although previous studies have widely used NTL images to map urban extent at multiple scales, it remains a challenging task to address how NTL respond exactly to urbanization and thus to map urbanization from NTL. In this study, using monthly Suomi National Polar-orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) NTL images between 2013 and 2017, we developed a method to decompose time-series NTL signal into annual and seasonal components. Further, we proposed an NTL-based indicator for the detection of impervious surfaces change (ISC) by integrating annual increment and seasonal variation of NTL brightness. The indicator was then used to identify ISC by using a thresholding method. The application of the methodology in the conterminous United States (CONUS) revealed a more rapid urbanization in the southern CONUS than the northern states and a northeastern-southwestern gradient of NTL seasonality. It was also found that NTL of November and December provided the most accurate characterization of urban extent for most areas in the CONUS. The detection of ISC in four representative regions (i.e. Dallas-Fort Worth-Arlington, greater Washington D.C., Denver-Aurora, and Atlanta) resulted in a moderate to high accuracy with the overall accuracy of ~80% and the Kappa value ranging from 0.56 to 0.73. Despite of this, the results showed a low accuracy of NTL-derived changing year of ISC (Kappa: 0.28) because of the existence of temporal inconsistency between NTL increase and ISC. The proposed method has the potential to timely map urban expansion at large geographical scales (e.g., continental and global) in a cost-efficient manner.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know