Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-95-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-95-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Data description paper
 | 
16 Jan 2025
Data description paper |  | 16 Jan 2025

High-resolution mapping of global winter-triticeae crops using a sample-free identification method

Yangyang Fu, Xiuzhi Chen, Chaoqing Song, Xiaojuan Huang, Jie Dong, Qiongyan Peng, and Wenping Yuan

Viewed

Total article views: 1,276 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
987 230 59 1,276 88 59 52
  • HTML: 987
  • PDF: 230
  • XML: 59
  • Total: 1,276
  • Supplement: 88
  • BibTeX: 59
  • EndNote: 52
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads (calculated since 05 Dec 2023)

Viewed (geographical distribution)

Total article views: 1,276 (including HTML, PDF, and XML) Thereof 1,261 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Feb 2025
Download
Short summary
This study proposed the Winter-Triticeae Crops Index (WTCI), which had great performance and stable spatiotemporal transferability in identifying winter-triticeae crops in 66 countries worldwide, with an overall accuracy of 87.7 %. The first global 30 m resolution distribution maps of winter-triticeae crops from 2017 to 2022 were further produced based on the WTCI method. The product can serve as an important basis for agricultural applications.
Read more
Share
Altmetrics
Final-revised paper
Preprint