Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-517-2022
https://doi.org/10.5194/essd-14-517-2022
Data description paper
 | 
08 Feb 2022
Data description paper |  | 08 Feb 2022

A global dataset of annual urban extents (1992–2020) from harmonized nighttime lights

Min Zhao, Changxiu Cheng, Yuyu Zhou, Xuecao Li, Shi Shen, and Changqing Song

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Revised manuscript not accepted
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Cited articles

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Chen, J., Chen, J., Liao, A. P., Cao, X., Chen, L. J., Chen, X. H., He, C. Y., Han, G., Peng, S., Lu, M., Zhang, W. W., Tong, X. H., and Mills, J.: Global land cover mapping at 30 m resolution: A POK-based operational approach, ISPRS J. Photogramm., 103, 7–27, https://doi.org/10.1016/j.isprsjprs.2014.09.002, 2015. 
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Chen, Z. Q., Yu, B. L., Song, W., Liu, H. X., Wu, Q. S., Shi, K. F., and Wu, J. P.: A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing, IEEE T. Geosci. Remote, 55, 6305–6319, https://doi.org/10.1109/tgrs.2017.2725917, 2017. 
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Short summary
We generated a unique dataset of global annual urban extents (1992–2020) using consistent nighttime light observations and analyzed global urban dynamics over the past 3 decades. Evaluations using other urbanization-related ancillary data indicate that the derived urban areas are reliable for characterizing spatial extents associated with intensive human settlement and high-intensity socioeconomic activities. This dataset can provide unique information for studying urbanization and its impacts.
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