Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1625-2020
https://doi.org/10.5194/essd-12-1625-2020
Data description paper
 | 
15 Jul 2020
Data description paper |  | 15 Jul 2020

Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform

Xiao Zhang, Liangyun Liu, Changshan Wu, Xidong Chen, Yuan Gao, Shuai Xie, and Bing Zhang

Viewed

Total article views: 11,817 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
8,695 3,015 107 11,817 109 193
  • HTML: 8,695
  • PDF: 3,015
  • XML: 107
  • Total: 11,817
  • BibTeX: 109
  • EndNote: 193
Views and downloads (calculated since 21 Jan 2020)
Cumulative views and downloads (calculated since 21 Jan 2020)

Viewed (geographical distribution)

Total article views: 11,817 (including HTML, PDF, and XML) Thereof 10,541 with geography defined and 1,276 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
The amount of impervious surface is an important indicator in the monitoring of the intensity of human activity and environmental change. In this study, a global 30 m impervious surface map was developed by using multisource, multitemporal remote sensing data based on the Google Earth Engine platform. The accuracy assessment indicated that the generated map had more optimal measurement accuracy compared with other state-of-art impervious surface products.
Altmetrics
Final-revised paper
Preprint