Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data

@article{Shi2014EvaluatingTA,
  title={Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data},
  author={Kaifang Shi and Bailang Yu and Yixiu Huang and Yingjie Hu and Bing Yin and Zuoqi Chen and Liujia Chen and Jianping Wu},
  journal={Remote Sensing},
  year={2014},
  volume={6},
  pages={1705-1724}
}
The nighttime light data records artificial light on the Earth’s surface and can be used to estimate the spatial distribution of the gross domestic product (GDP) and the electric power consumption (EPC). In early 2013, the first global NPP-VIIRS nighttime light data were released by the Earth Observation Group of National Oceanic and Atmospheric Administration’s National Geophysical Data Center (NOAA/NGDC). As new-generation data, NPP-VIIRS data have a higher spatial resolution and a wider… CONTINUE READING
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The use of night-time lights satellite imagery as a measure of Australia’s regional electricity consumption and population distribution

  • A. C. Townsend, D. A. Bruce
  • Int. J. Remote Sens. 2010,
  • 2010
Highly Influential
4 Excerpts

Exploring factors affecting the relationship between light consumption and GDP based on DMSP/OLS nighttime satellite imagery

  • J. Wu, Z. Wang, W. Li, J. Peng
  • Remote Sens. Environ
  • 2013
1 Excerpt

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