Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021
Data description paper
01 Jun 2021
Data description paper | 01 Jun 2021

A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

Bowen Cao et al.

Viewed

Total article views: 5,846 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,637 1,149 60 5,846 52 74
  • HTML: 4,637
  • PDF: 1,149
  • XML: 60
  • Total: 5,846
  • BibTeX: 52
  • EndNote: 74
Views and downloads (calculated since 20 Oct 2020)
Cumulative views and downloads (calculated since 20 Oct 2020)

Viewed (geographical distribution)

Total article views: 5,846 (including HTML, PDF, and XML) Thereof 5,180 with geography defined and 666 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 Dec 2022
Download
Short summary
In this study, the first 30 m resolution terrace map of China was developed through supervised pixel-based classification using multisource, multi-temporal data based on the Google Earth Engine platform. The classification performed well with an overall accuracy of 94 %. The terrace mapping algorithm can be used to map large-scale terraces in other regions globally, and the terrace map will be valuable for studies on soil erosion, carbon cycle, and ecosystem service assessments.