NASA FLDAS (Famine Early Warning Land Data Assimilation)
NASA land data assimilation framework producing satellite-integrated hydro-climate estimates for food-insecure regions including soil moisture, evapotranspiration, and runoff at 0.1-degree resolution
ldas.gsfc.nasa.gov
At a glance
- Region
- Global
- Coverage
- Global land, 0.1-degree monthly, 1982-present
- Access
- Free
- Category
- Space Agency
What's inside
- Soil Moisture
- Evapotranspiration
- Runoff
- Surface Temperature
- Precipitation Forcing
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
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Runoff
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
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
Related water data
- GLDAS Land Data AssimilationGlobal | Free
- GLEAM Global EvapotranspirationGlobal | Free
- JAXA Earth APIGlobal | Free
- NASA Land Information System (LIS) / LDASGlobal | Free
- TerraClimate Global Climate and Water BalanceGlobal | Free
- Terrestrial evapotranspiration and soil moisture dynamics (1982-2020)Global | Free
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