GMIE: Global maximum irrigation extent and central pivot irrigation dataset
Global maximum irrigation extent (403 Mha) derived using drought stress analysis and deep learning, with identification of central pivot irrigation systems worldwide.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Water Use
What you can do with it
Typical work that data of this type supports.
- 01
Irrigation scheduling
Decide when and how much to irrigate.
- 02
Water accounting
Track how much water crops actually consume across a command area.
- 03
Drought indices
Track SPI and SPEI style indices for declarations and relief.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
- 02
Demand forecasts
Predict irrigation demand weeks ahead for canal and pump planning.
- 03
Onset forecasts
Predict drought onset months ahead from climate signals.
Machine access and documentation
Data paper
GMIE: Global maximum irrigation extent and central pivot irrigation dataset
Earth System Science Data 2025
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