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Zhao, M., Zhou, Y., Li, X., Cheng, W., Zhou, C., Ma, T., et al. (2020). Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS. Remote Sensing of Environment, 248, 111980.
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Li, M., Koks, E., Taubenböck, H., & van Vliet, J. (2020). Continental-scale mapping and analysis of 3D building structure. Remote Sensing of Environment, 245, 111859.
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Wang, J., Zhou, M., Xu, X., Roudini, S., Sander, S. P., Pongetti, T. J., et al. (2020). Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS. Remote Sensing of Environment, 241, 111727.
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Zheng, Q., Weng, Q., & Wang, K. (2020). Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery. Remote Sensing of Environment, 240, 111707.
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Wang, J., Roudini, S., Hyer, E. J., Xu, X., Zhou, M., Garcia, L. C., et al. (2020). Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS. Remote Sensing of Environment, 237, 111466.
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Levin, N., Kyba, C. C. M., Zhang, Q., Sánchez de Miguel, A., Román, M. O., Li, X., et al. (2020). Remote sensing of night lights: A review and an outlook for the future. Remote Sensing of Environment, 237, 111443.
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Li, X., Ma, R., Zhang, Q., Li, D., Liu, S., He, T., et al. (2019). Anisotropic characteristic of artificial light at night – Systematic investigation with VIIRS DNB multi-temporal observations. Remote Sensing of Environment, 233, 111357.
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Cao, X., Chen, J., Imura, H., & Higashi, O. (2009). A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data. Remote Sensing of Environment, 113(10), 2205–2209.
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Cao, X., Hu, Y., Zhu, X., Shi, F., Zhuo, L., & Chen, J. (2019). A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images. Remote Sensing of Environment, 224, 401–411.
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Waigl, C. F., Stuefer, M., Prakash, A., & Ichoku, C. (2017). Detecting high and low-intensity fires in Alaska using VIIRS I-band data: An improved operational approach for high latitudes. Remote Sensing of Environment, 199, 389–400.
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