Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021
Data description paper
21 Oct 2021
Data description paper | 21 Oct 2021

GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery

Miao Zhang et al.

Viewed

Total article views: 3,475 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,602 823 50 3,475 340 34 72
  • HTML: 2,602
  • PDF: 823
  • XML: 50
  • Total: 3,475
  • Supplement: 340
  • BibTeX: 34
  • EndNote: 72
Views and downloads (calculated since 30 Jun 2021)
Cumulative views and downloads (calculated since 30 Jun 2021)

Viewed (geographical distribution)

Total article views: 3,012 (including HTML, PDF, and XML) Thereof 3,012 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Cropping intensity (CI) is essential for agricultural land use management, but fine-resolution global CI is not available. We used multiple satellite data on Google Earth Engine to develop a first 30 m resolution global CI (GCI30). GCI30 performed well, with an overall accuracy of 92 %. GCI30 not only exhibited high agreement with existing CI products but also provided many spatial details. GCI30 can facilitate research on sustained cropland intensification to improve food production.