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Liang, H., Guo, Z., Wu, J., & Chen, Z. (2019). GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression. Advances in Space Research, in press, S0273117719307136.
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Lopez-Ruiz, H., Nezamuddin, N., Al Hassan, R., & Muhsen, A. (2019). Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia. EconPapers, ks--2019-mp07.
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Ma, T., Zhou, C., Pei, T., Haynie, S., & Fan, J. (2012). Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities. Remote Sensing of Environment, 124, 99–107.
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Nordhaus, W., & Chen, X. (2014). A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics. J of Econ Geog, 15(1), 217–246.
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Song, J., Tong, X., Wang, L., Zhao, C., & Prishchepov, A. V. (2019). Monitoring finer-scale population density in urban functional zones: A remote sensing data fusion approach. Landscape and Urban Planning, 190, 103580.
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