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GLEAM Global Evapotranspiration

Satellite-based global land evapotranspiration and root-zone soil moisture dataset at 0.1-degree resolution from 1980 to present providing transpiration, bare-soil evaporation, interception loss, and evaporative stress

gleam.eu

At a glance

Region
Global
Coverage
Global land, 0.1-degree, 1980-present
Access
Free
Category
Research Institute

What's inside

  • Evapotranspiration
  • Soil Moisture
  • Transpiration
  • Evaporative Stress
  • Root-Zone Moisture

What you can do with it

Typical work that data of this type supports.

  1. 01

    Irrigation scheduling

    Decide when and how much to irrigate.

    Because it has: Evapotranspiration

  2. 02

    Water accounting

    Track how much water crops actually consume across a command area.

  3. 03

    No-gauge areas

    Monitor places with no ground stations.

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Field-scale ET

    Estimate crop water use per field by combining satellite and weather with ML.

  2. 02

    Demand forecasts

    Predict irrigation demand weeks ahead for canal and pump planning.

  3. 03

    Segmentation

    Map water, crops and land use pixel by pixel with deep learning.

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