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Danesh Yazdi, M., Kuang, Z., Dimakopoulou, K., Barratt, B., Suel, E., Amini, H., et al. (2020). Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods. Remote Sensing, 12(6), 914.
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Duan, X., Hu, Q., Zhao, P., Wang, S., & Ai, M. (2020). An Approach of Identifying and Extracting Urban Commercial Areas Using the Nighttime Lights Satellite Imagery. Remote Sensing, 12(6), 1029.
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Zheng, H., Gui, Z., Wu, H., & Song, A. (2020). Developing Non-Negative Spatial Autoregressive Models for Better Exploring Relation Between Nighttime Light Images and Land Use Types. Remote Sensing, 12(5), 798.
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Liu, J., Deng, Y., Wang, Y., Huang, H., Du, Q., & Ren, F. (2020). Urban Nighttime Leisure Space Mapping with Nighttime Light Images and POI Data. Remote Sensing, 12(3), 541.
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Cabrera-Cruz, S. A., Cohen, E. B., Smolinsky, J. A., & Buler, J. J. (2020). Artificial Light at Night is Related to Broad-Scale Stopover Distributions of Nocturnally Migrating Landbirds along the Yucatan Peninsula, Mexico. Remote Sensing, 12(3), 395.
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