Articles | Volume 14, issue 4
https://doi.org/10.5194/essd-14-1831-2022
https://doi.org/10.5194/essd-14-1831-2022
Data description paper
 | 
14 Apr 2022
Data description paper |  | 14 Apr 2022

GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform

Xiao Zhang, Liangyun Liu, Tingting Zhao, Yuan Gao, Xidong Chen, and Jun Mi

Viewed

Total article views: 9,334 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
7,366 1,819 149 9,334 133 189
  • HTML: 7,366
  • PDF: 1,819
  • XML: 149
  • Total: 9,334
  • BibTeX: 133
  • EndNote: 189
Views and downloads (calculated since 07 Dec 2021)
Cumulative views and downloads (calculated since 07 Dec 2021)

Viewed (geographical distribution)

Total article views: 9,334 (including HTML, PDF, and XML) Thereof 8,892 with geography defined and 442 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
Accurately mapping impervious-surface dynamics has great scientific significance and application value for research on urban sustainable development, the assessment of anthropogenic carbon emissions and global ecological-environment modeling. In this study, a novel and accurate global 30 m impervious surface dynamic dataset (GISD30) for 1985 to 2020 was produced using the spectral-generalization method and time-series Landsat imagery on the Google Earth Engine cloud computing platform.
Altmetrics
Final-revised paper
Preprint