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Dataset of Global Urban Boundaries, Impervious Surface Area and Green Space (2000, 2010, 2020)


KUANG Wenhui1DOU Yinyin1LU Dengsheng2DU Guoming3
1 Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 School of Geography,Fujian Normal University,Fuzhou 350117,China3 School of Public Administration and Law,Northeast Agricultural University,Harbin 150030,China

DOI:10.3974/geodb.2025.01.04.V1

Published:Jan. 2025

Visitors:832       Data Files Downloaded:31      
Data Downloaded:2259.08 MB      Citations:

Key Words:

urban expansion,land cover,impervious surface area,green space,remote sensing

Abstract:

To objectively and accurately characterize surface conditions under human urban and rural construction activities and achieve global monitoring of urban expansion and land cover changes using remote sensing, a principle and methodology for hierarchical-scale mapping of urban surface structural components were developed. Landsat TM/ETM /OLI served as the primary data source, supplemented by HJ-1A/B, GF, ZY-3, DMSP/OLS, and NPP/VIIRS datasets. The methodology leveraged the Google Earth Engine platform and machine learning techniques to create a dataset of global urban boundaries, impervious surface area and green space (2000, 2010, 2020). Data accuracy was assessed using high-resolution remote sensing imagery, demonstrating an average mapping accuracy of 91.20% for global urban boundaries. Validation of impervious surface mapping yielded an average correlation coefficient (R) of 0.92 and a root mean square error (RMSE) of 13%. Similarly, validation of urban green space mapping showed an average R of 0.91 and an RMSE of 13%. The dataset includes the following data in each continent in 2000, 2010 and 2020: (1) urban boundary data; (2) impervious surface data; and (3) urban green space data. The dataset has a spatial resolution of 250 mx250 m, is archived in .tif and .txt formats, and consists of 55 data files with data size of 3.25 GB (Compressed into one file with 72.8 MB). The research paper based on the dataset has been published in Science Bulletin, Volume 66, Issue 4, 2021.

Foundation Item:

Ministry of Science and Technology of P. R. China (1061302600001, 2019QZKK0608); National Natural Science Foundation of China (41871343); Chinese Academy of Sciences (XDA23100201)

Data Citation:

KUANG Wenhui, DOU Yinyin, LU Dengsheng, DU Guoming. Dataset of Global Urban Boundaries, Impervious Surface Area and Green Space (2000, 2010, 2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.01.04.V1.

References:


     [1] Kuang, W. H. Mapping global impervious surface area and green space within urban environments [J]. Science China Earth Sciences, 2019, 62(10): 1591-1606.
     [2] Kuang, W. H. 70 years of urban expansion across china: trajectory, pattern, and national policies [J]. Science Bulletin, 2020, 65(23): 1970-1974.
     [3] Kuang, W. H., Liu, J. Y., Zhang, Z. X., et al. Spatiotemporal dynamics of impervious surface areas across china during the early 21st century [J]. Chinese Science Bulletin, 2013, 58(14): 1691-1701.
     [4] Kuang, W. H., Zhang, S., Li, X. Y., et al. A 30 m resolution dataset of China’s urban impervious surface area and green space, 2000–2018 [J]. Earth System Science Data, 2021, 13(1): 63-82.
     

Data Product:

ID Data Name Data Size Operation
1 GlobalUrban_ISA_GS.rar 74622.56KB
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