NEC-DROMO: Near-global agro-climatological drought monitoring dataset
Near-global dataset (2002-2021) at 0.25° combining soil moisture and vegetation water content for agricultural drought monitoring, validated against SPI, NDVI, and disaster databases.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Soil Moisture
- Drought Indices
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Irrigation scheduling
Decide when and how much to irrigate.
Because it has: Soil Moisture
- 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.
Because it has: Drought Indices
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
NEC-DROMO: Near-global agro-climatological drought monitoring dataset
Scientific Data 2025
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- CATDS SMOS Land Products (Centre Aval de Traitement des Données SMOS)Global | Free
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