A global dataset of average specific yield for soils
Global gridded average specific yield dataset for various soil textures developed from three global soil databases, validated against laboratory and field measurements for groundwater modeling.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Groundwater
What you can do with it
Typical work that data of this type supports.
- 01
Trend hotspots
Find where water tables are falling year after year.
Because it has: Groundwater
- 02
Recharge planning
Site recharge structures and new borewells with evidence.
- 03
Water budgets
Estimate draft and recharge for a block, district or basin.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Gap filling
Rebuild missing well readings from neighbours, rainfall and season.
- 02
Level forecasts
Forecast pre- and post-monsoon levels well by well.
- 03
Stress mapping
Combine wells with satellite gravity and rainfall to map aquifer stress.
Machine access and documentation
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