Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Data description paper
 | 
06 Mar 2025
Data description paper |  | 06 Mar 2025

GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods

Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Weiwei Zhu, Nana Yan, Yuming Lu, and Yifan Li

Viewed

Total article views: 3,511 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,789 635 87 3,511 54 115 188
  • HTML: 2,789
  • PDF: 635
  • XML: 87
  • Total: 3,511
  • Supplement: 54
  • BibTeX: 115
  • EndNote: 188
Views and downloads (calculated since 06 Feb 2024)
Cumulative views and downloads (calculated since 06 Feb 2024)

Viewed (geographical distribution)

Total article views: 3,511 (including HTML, PDF, and XML) Thereof 3,418 with geography defined and 93 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary

Our study introduces GMIE, a high-resolution global map of irrigated cropland at 100 m resolution, covering 403.17 Mha and utilizing irrigation performance under drought stress. We found that 23.4 % of global cropland is irrigated, with the most extensive areas in India, China, the United States, and Pakistan. We identified the distribution of central pivot systems commonly used in the United States and Saudi Arabia. This new map can better support water management and food security globally.

Read more
Share
Altmetrics
Final-revised paper
Preprint