NASA Land Information System (LIS) / LDAS
NASA Land Information System framework and its land data assimilation instances (GLDAS, NLDAS, FLDAS, NCA-LDAS) fusing multi-sensor satellite observations to produce gridded soil moisture, snow, evapotranspiration and terrestrial water storage fields.
lis.gsfc.nasa.gov
At a glance
- Region
- United States (Global)
- Coverage
- Global
- Access
- Free
- Category
- Space Agency
- Last updated
- 2026
What's inside
- soil moisture
- land surface model
- terrestrial water storage
- evapotranspiration
- data assimilation
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
Storage tracking
Follow storage and releases through the season.
Because it has: terrestrial water storage
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
Storage from space
Estimate volume from satellite water area and altimetry.
Related water data
- GRACE-FO Global Weekly Drought MapsGlobal | Free
- CSR GRACE RL06 Mascon Solutions - Texas Data Repository DataverseGlobal | Free
- GFZ GravIS Gravity Information Service (Groundwater & Water Storage)Global | Free
- GLDAS Land Data AssimilationGlobal | Free
- GLEAM Global EvapotranspirationGlobal | Free
- GTN-H Global Terrestrial Network - HydrologyGlobal | Free
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