Global long-term daily 1km surface soil moisture with physics-informed ML
A high-resolution (1 km) global daily surface soil moisture dataset produced using physics-informed machine learning, merging satellite retrievals with land surface model outputs.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Soil Moisture
- Remote Sensing
- Machine Learning
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
No-gauge areas
Monitor places with no ground stations.
Because it has: Remote Sensing
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
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Data paper
Global long-term daily 1km surface soil moisture with physics-informed ML
Scientific Data 2023
Read the paperRelated water data
- SM2RAIN-Climate: monthly global long-term rainfall datasetGlobal | Free
- Terrestrial evapotranspiration and soil moisture dynamics (1982-2020)Global | Free
- ERA5-LandGlobal | Free
- GRACE-FO Global Weekly Drought MapsGlobal | Free
- SMAPGlobal | Free
- A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000-2018Global | Free
Find more water data
Search and compare 1,900+ water data sources by region, type and access.