SEBS Global Land Evapotranspiration
Surface Energy Balance System based daily global evapotranspiration dataset at 0.05-degree resolution using MODIS satellite data and ERA5 meteorological reanalysis from University of Twente
research.utwente.nl
At a glance
- Region
- Global
- Coverage
- Global land, 0.05-degree resolution
- Access
- Free
- Category
- Research Institute
What's inside
- Evapotranspiration
- Surface Energy Balance
- Satellite Remote Sensing
- MODIS-Derived
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
No-gauge areas
Monitor places with no ground stations.
Because it has: Satellite Remote Sensing
- 02
Long records
Use consistent records going back decades.
- 03
Irrigation scheduling
Decide when and how much to irrigate.
Because it has: Evapotranspiration
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
- 02
Data fusion
Blend satellite and ground data into one better estimate.
- 03
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
Related water data
- FAO WaPOR v3 Water ProductivityGlobal | Free
- A global long-term daily reanalysis of reference evapotranspiration for drought monitoringGlobal | Free
- A global multi-catchment synthesis for water fluxes and storage changesGlobal | Free
- CHELSA High-Resolution Climate DataGlobal | Free
- ECOSTRESS ISS EvapotranspirationGlobal | Free
- ERA5-Land Hourly on DestinE Earth Data HubGlobal | Free
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