Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/essd-13-63-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-63-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Data description paper
 | 
14 Jan 2021
Data description paper |  | 14 Jan 2021

A 30 m resolution dataset of China's urban impervious surface area and green space, 2000–2018

Wenhui Kuang, Shu Zhang, Xiaoyong Li, and Dengsheng Lu

Viewed

Total article views: 9,252 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,760 2,329 163 9,252 149 215
  • HTML: 6,760
  • PDF: 2,329
  • XML: 163
  • Total: 9,252
  • BibTeX: 149
  • EndNote: 215
Views and downloads (calculated since 25 Jun 2020)
Cumulative views and downloads (calculated since 25 Jun 2020)

Viewed (geographical distribution)

Total article views: 9,252 (including HTML, PDF, and XML) Thereof 8,720 with geography defined and 532 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Nov 2025
Download
Short summary
We propose a hierarchical principle for remotely sensed urban land use and land cover change for mapping intra-urban structure and component dynamics. China’s Land Use/cover Dataset (CLUD) is updated, delineating the imperviousness and green surface conditions in cities from 2000 to 2018. The newly developed datasets can be used to enhance our understanding of urbanization impacts on ecological and regional climatic conditions and on urban dwellers' environments.
Read more
Share
Altmetrics
Final-revised paper
Preprint