A continental-scale soil evaporation dataset from SMAP satellite drying rates
E-SMAP soil evaporation estimates for the conterminous U.S. at 9 km resolution (2015-2019) derived from SMAP satellite-observed soil drying rates.
doi.org
At a glance
- Region
- North America
- Coverage
- North America
- Access
- Free
- Category
- Research
- Last updated
- 2020
What's inside
- Soil Moisture
- Evapotranspiration
- Remote Sensing
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
A continental-scale soil evaporation dataset from SMAP satellite drying rates
Scientific Data 2020
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