Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3623-2023
© Author(s) 2023. 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-15-3623-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs)
Wanru He
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Xuecao Li
CORRESPONDING AUTHOR
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Yuyu Zhou
CORRESPONDING AUTHOR
Department of Geography, The University of Hong Kong, Hong Kong SAR 999077, China
Urban Systems Institute, The University of Hong Kong, Hong Kong SAR 999077, China
Zitong Shi
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Guojiang Yu
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Tengyun Hu
Beijing Municipal Institute of City Planning and Design, Beijing 100045, China
Yixuan Wang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Jianxi Huang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Tiecheng Bai
School of Information Engineering, Tarim University, Alaer 843300, China
Zhongchang Sun
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, Beijing 100101, China
Xiaoping Liu
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Peng Gong
Department of Geography, The University of Hong Kong, Hong Kong SAR 999077, China
Urban Systems Institute, The University of Hong Kong, Hong Kong SAR 999077, China
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Cited
7 citations as recorded by crossref.
- Urban fraction influence on local nocturnal cooling rates from low-cost sensors in Dallas-Fort Worth B. McBroom et al. 10.1016/j.uclim.2024.101823
- Predicting the Global Extinction Risk for 6569 Species by Applying the Life Cycle Impact Assessment Method to the Impact of Future Land Use Changes R. Liu et al. 10.3390/su16135484
- Projections of future spatiotemporal urban 3D expansion in China under shared socioeconomic pathways K. Wang et al. 10.1016/j.landurbplan.2024.105043
- Towards a more realistic estimation of urban land take by combining cadastral parcels and building footprints A. Lagarias & D. Stathakis 10.1177/23998083241282092
- Large disagreements in estimates of urban land across scales and their implications T. Chakraborty et al. 10.1038/s41467-024-52241-5
- A Comparison of Machine Learning Models for Predicting Flood Susceptibility Based on the Enhanced NHAND Method C. Meng & H. Jin 10.3390/su152014928
- Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) W. He et al. 10.5194/essd-15-3623-2023
6 citations as recorded by crossref.
- Urban fraction influence on local nocturnal cooling rates from low-cost sensors in Dallas-Fort Worth B. McBroom et al. 10.1016/j.uclim.2024.101823
- Predicting the Global Extinction Risk for 6569 Species by Applying the Life Cycle Impact Assessment Method to the Impact of Future Land Use Changes R. Liu et al. 10.3390/su16135484
- Projections of future spatiotemporal urban 3D expansion in China under shared socioeconomic pathways K. Wang et al. 10.1016/j.landurbplan.2024.105043
- Towards a more realistic estimation of urban land take by combining cadastral parcels and building footprints A. Lagarias & D. Stathakis 10.1177/23998083241282092
- Large disagreements in estimates of urban land across scales and their implications T. Chakraborty et al. 10.1038/s41467-024-52241-5
- A Comparison of Machine Learning Models for Predicting Flood Susceptibility Based on the Enhanced NHAND Method C. Meng & H. Jin 10.3390/su152014928
Latest update: 23 Nov 2024
Short summary
Most existing global urban products with future projections were developed in urban and non-urban categories, which ignores the gradual change of urban development at the local scale. Using annual global urban extent data from 1985 to 2015, we forecasted global urban fractional changes under eight scenarios throughout 2100. The developed dataset can provide spatially explicit information on urban fractions at 1 km resolution, which helps support various urban studies (e.g., urban heat island).
Most existing global urban products with future projections were developed in urban and...
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