Dataset of urban built-up area in China (1992-2020) V1.0
File name: The urban built-up area data is stored in the form of a grid file named "yyyy. tif", in which "yyyy" represents the year. For example, 1992. tif represents the grid file that describes China's urban built-up area in 1992.
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.
He, C., Liu, Z., Xu, M., Lu, W. (2022). Dataset of urban built-up area in China (1992-2020) V1.0. A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272851. CSTR: 18406.11.HumanNat.tpdc.272851. (Download the reference: RIS | Bibtex )
Related Literatures:1. He, C.Y., Liu, Z.F., Tian, J., & Ma, Q. (2014). Urban expansion dynamics and natural habitat loss in China: a multiscale landscape perspective. Global change biology, 20(9), 2886-2902.( View Details | Download | Bibtex)
2. Xu, M., He, C.Y., Liu, Z.F., & Dou, Y.Y. (2016). How Did Urban Land Expand in China between 1992 and 2015? A Multi-Scale Landscape Analysis. PLoS ONE, 11(5), e0154839. doi:10.1371/journal.pone.0154839( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
National Key R&D Program of China (Grant No. 2019YFA0607203)
Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0405)
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
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East: 136.58 | West: 67.82 |
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