Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-517-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-517-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global dataset of annual urban extents (1992–2020) from harmonized nighttime lights
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Beijing Normal University, Beijing, 100875, China
Key Laboratory of Environmental Change and Natural Disaster, Beijing
Normal University, Beijing, 100875, China
Center for Geodata and Analysis, Faculty of Geographical Science,
Beijing Normal University, Beijing, 100875, China
Changxiu Cheng
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Beijing Normal University, Beijing, 100875, China
Key Laboratory of Environmental Change and Natural Disaster, Beijing
Normal University, Beijing, 100875, China
Center for Geodata and Analysis, Faculty of Geographical Science,
Beijing Normal University, Beijing, 100875, China
Department of Geological and Atmospheric Sciences, Iowa State
University, Ames, IA 50011, USA
Xuecao Li
College of Land Science and Technology, China Agricultural
University, Beijing, 100083, China
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Beijing Normal University, Beijing, 100875, China
Key Laboratory of Environmental Change and Natural Disaster, Beijing
Normal University, Beijing, 100875, China
Center for Geodata and Analysis, Faculty of Geographical Science,
Beijing Normal University, Beijing, 100875, China
Changqing Song
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Beijing Normal University, Beijing, 100875, China
Center for Geodata and Analysis, Faculty of Geographical Science,
Beijing Normal University, Beijing, 100875, China
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- Fusing remote and social sensing data for flood impact mapping Z. Akhtar et al.
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- Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones M. Zheng et al.
- The Multi-Scale Spatial Heterogeneity of Ecosystem Services’ Supply–Demand Matching and Its Influencing Factors on Urban Green Space in China W. Zhao et al.
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- Delineating Urban Boundaries by Integrating Nighttime Light Data and Spectral Indices X. Zhang et al.
- A global estimate of monthly vegetation and soil fractions from spatiotemporally adaptive spectral mixture analysis during 2001–2022 Q. Sun et al.
- Urbanization Heat Flux Modeling Confirms It Is a Likely Cause of Significant Global Warming: Urbanization Mitigation Requirements A. Feinberg
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Saved (final revised paper)
Latest update: 06 May 2026
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.
We generated a unique dataset of global annual urban extents (1992–2020) using consistent...
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