SoilGrids Global Soil Information
ISRIC global gridded soil property maps at 250m resolution derived from satellite remote sensing, machine learning, and 230,000+ soil profiles providing soil organic carbon, water content, texture, and pH for hydrological modelling
soilgrids.org
At a glance
- Region
- Global
- Coverage
- Global, 250m resolution, 6 soil depths
- Access
- Free
- Category
- Research Institute
What's inside
- Soil Properties
- Soil Moisture Capacity
- Soil Organic Carbon
- Soil Texture
- Hydrological Parameters
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Hydrological Parameters
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Irrigation scheduling
Decide when and how much to irrigate.
Because it has: Soil Moisture Capacity
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
Machine access and documentation
Open API
ISRIC SoilGrids WCS/WMS https://maps.isric.org
Licence: CC-BY 4.0
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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