This dataset derives from the article: He, C., Liu, Z., Wu, J., Pan, X., Fang, Z., Li, J., Bryan, B.A. (2021). Future global urban water scarcity and potential solutions. Nature Communications, 12, 4667. https://doi.org/10.1038/s41467-021-25026-3. This dataset includes global urban land information under different shared socioeconomic pathways from 2020 to 2070. The production process of this dataset mainly includes: (1) establishing a linear regression model based on the urban land data (downloaded from https://doi.pangaea.de/10.1594/PANGAEA.892684) and urban population data from 1992 to 2016 to calculate the future urban land demand; (2) using the LUSD-urban model to simulate the spatial distribution of urban land. The dataset can support the assessment of effects of future global urban expansion.

File naming and required software

File name: the file is stored in the form of grid data. The file name is "ssp scenario _yyyy", where "ssp scenario" represents the shared socio-economic pathway and "yyyy" represents the year, for example, ssp1_ 2050. tif represents the grid file to describe the global urban land information in 2050 under SSP1.
Data reading mode: users can use geographic information systems and remote sensing related software such as ESRI ArcGIS software, ERDAS software and ENVI software to read data.

Data Citations Data citation guideline What's data citation?

Cite as:

He, C., Liu, Z., Yang, Y. (2022). Dataset of global future urban expansion (2020-2070) V1.0. A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272853. CSTR: 18406.11.HumanNat.tpdc.272853. (Download the reference： RIS | Bibtex )

Related Literatures:

1. He, C.Y., Liu, Z.F., Wu, J.G., Pan, X.H., Fang, Z.H., Li, J.W., & Bryan., B.A. (2021). Future global urban water scarcity and potential solutions. Nature Communications, 12, 4667. https://doi.org/10.1038/s41467-021-25026-3( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Key R&D Program of China (Grant No. 2019YFA0607203)

Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0405)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)