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Elvidge, C. D., Keith, D. M., Tuttle, B. T., & Baugh, K. E. (2010). Spectral identification of lighting type and character. Sensors (Basel), 10(4), 3961–3988.
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Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., et al. (2009). A global poverty map derived from satellite data. Computers & Geosciences, 35(8), 1652–1660.
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Fan, J., He, H., Hu, T., Zhang, P., Yu, X., & Zhou, Y. (2019). Estimation of Landscape Pattern Changes in BRICS from 1992 to 2013 Using DMSP-OLS NTL Images. J Ind Soc Rem Sens, 47(5), 725–735.
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Gaughan, A. E., Oda, T., Sorichetta, A., Stevens, F. R., Bondarenko, M., Bun, R., Krauser, L., Yetman, G., & Nghiem, S. V. (2019). Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2 emission in Vietnam, Cambodia and Laos. Environmental Research Communications, 1(9), 091006.
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Huang, X., Wang, C., & Lu, J. (2019). Understanding Spatiotemporal Development of Human Settlement in Hurricane-prone Areas on U.S. Atlantic and Gulf Coasts using Nighttime Remote Sensing. Natural Hazards and Earth System Sciences, , 1–22.
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Letu, H., Hara, M., Tana, G., Bao, Y., & Nishio, F. (2015). Generating the Nighttime Light of the Human Settlements by Identifying Periodic Components from DMSP/OLS Satellite Imagery. Environ Sci Technol, 49(17), 10503–10509.
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Li, S., Cheng, L., Liu, X., Mao, J., Wu, J., & Li, M. (2019). City type-oriented modeling electric power consumption in China using NPP-VIIRS nighttime stable light data. Energy, 189, 116040.
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Li, X., Ge, L., & Chen, X. (2013). Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery. Remote Sensing, 5(9), 4551–4570.
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Li, X., Xu, H., Chen, X., & Li, C. (2013). Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China. Remote Sensing, 5(6), 3057–3081.
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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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