SoilGrids Depth to Bedrock
ISRIC global predicted depth to bedrock at 250m resolution derived from machine learning models using soil profile data, terrain attributes, and remote sensing covariates, critical for groundwater modelling and hydrological assessments
data.isric.org
At a glance
- Region
- Global
- Coverage
- Global 250m resolution depth to bedrock predictions
- Access
- Free
- Category
- Research Institute
What's inside
- Depth to Bedrock
- Soil Properties
- Subsurface Geology
- Hydrological Parameters
- 250m Resolution
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
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
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
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
Machine access and documentation
Open API
ISRIC SoilGrids WCS/WMS (data.isric.org)
Licence: CC-BY 4.0
Listed in our registry of open water APIs, which WaterDataGPT can query live.
Related water data
Find more water data
Search and compare 1,900+ water data sources by region, type and access.