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.
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.
the Creative Commons Attribution 4.0 License.
Data description article
| 
06 Mar 2025
Data description article |
| 06 Mar 2025
| 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
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Bingfang Wu
CORRESPONDING AUTHOR
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Hongwei Zeng
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Miao Zhang
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Weiwei Zhu
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Nana Yan
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Yuming Lu
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yifan Li
School of Computer Science, China University of Geosciences, Wuhan 430078, China
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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Cited
12 citations as recorded by crossref.
- Quantitative characterization of resilience and analysis of driving mechanisms in the water-energy-food nexus system of major grain-producing regions D. Xu et al. https://doi.org/10.1016/j.jhydrol.2025.134201
- Water management regulates vegetation recovery in photovoltaic farms across China Y. Hu et al. https://doi.org/10.1016/j.landusepol.2026.108272
- Estimating changes in center pivot irrigation in the High Plains Aquifer using a hybrid GIS-remote sensing deep learning approach, 2001 to 2023 T. Fagin et al. https://doi.org/10.1007/s10661-026-15061-2
- A 30-m annual distribution dataset of major crops in China from 2001-2024 Y. Fu et al. https://doi.org/10.1038/s41597-026-07370-5
- Global-PCG-10: a 10 m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020 B. Niu et al. https://doi.org/10.5194/essd-17-5065-2025
- A Dynamic Irrigation Event Identification Method Driven by Spatiotemporal Fusion and Dynamic Samples Using an Attention-Enhanced Bi-LSTM Model J. Liu et al. https://doi.org/10.3390/rs18142367
- Mapping irrigated cropland at 30 m spatial resolution in northern China over the past three decades L. Li et al. https://doi.org/10.1080/15481603.2025.2563394
- Large-scale irrigation area mapping: Status and challenges W. Zhu et al. https://doi.org/10.1016/j.agwat.2025.110037
- Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al. https://doi.org/10.1016/j.jhydrol.2026.135122
- Global inequities in irrigation water distribution: A systematic review and meta-analysis of impacts on cropland productivity and environmental sustainability S. Muhie https://doi.org/10.1016/j.agwat.2026.110360
- Water Use Trajectories in Agriculture and Hydropower in Zambezi River Basin: Assessing with Big Earth Data and Water-energy-food-environment Nexus Approach F. Tian et al. https://doi.org/10.1007/s11769-025-1548-8
- Increasing Irrigated Agriculture Area and Its Related Water Consumption Set Djorf Aquifer at Risk of Water Quantity Depletion A. Bennour et al. https://doi.org/10.3390/rs18050708
12 citations as recorded by crossref.
- Quantitative characterization of resilience and analysis of driving mechanisms in the water-energy-food nexus system of major grain-producing regions D. Xu et al. https://doi.org/10.1016/j.jhydrol.2025.134201
- Water management regulates vegetation recovery in photovoltaic farms across China Y. Hu et al. https://doi.org/10.1016/j.landusepol.2026.108272
- Estimating changes in center pivot irrigation in the High Plains Aquifer using a hybrid GIS-remote sensing deep learning approach, 2001 to 2023 T. Fagin et al. https://doi.org/10.1007/s10661-026-15061-2
- A 30-m annual distribution dataset of major crops in China from 2001-2024 Y. Fu et al. https://doi.org/10.1038/s41597-026-07370-5
- Global-PCG-10: a 10 m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020 B. Niu et al. https://doi.org/10.5194/essd-17-5065-2025
- A Dynamic Irrigation Event Identification Method Driven by Spatiotemporal Fusion and Dynamic Samples Using an Attention-Enhanced Bi-LSTM Model J. Liu et al. https://doi.org/10.3390/rs18142367
- Mapping irrigated cropland at 30 m spatial resolution in northern China over the past three decades L. Li et al. https://doi.org/10.1080/15481603.2025.2563394
- Large-scale irrigation area mapping: Status and challenges W. Zhu et al. https://doi.org/10.1016/j.agwat.2025.110037
- Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al. https://doi.org/10.1016/j.jhydrol.2026.135122
- Global inequities in irrigation water distribution: A systematic review and meta-analysis of impacts on cropland productivity and environmental sustainability S. Muhie https://doi.org/10.1016/j.agwat.2026.110360
- Water Use Trajectories in Agriculture and Hydropower in Zambezi River Basin: Assessing with Big Earth Data and Water-energy-food-environment Nexus Approach F. Tian et al. https://doi.org/10.1007/s11769-025-1548-8
- Increasing Irrigated Agriculture Area and Its Related Water Consumption Set Djorf Aquifer at Risk of Water Quantity Depletion A. Bennour et al. https://doi.org/10.3390/rs18050708
Saved (final revised paper)
Latest update: 14 Aug 2026
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.
Our study introduces GMIE, a high-resolution global map of irrigated cropland at...
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