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Random Forest Prediction Algorithm for Eastern Africa, 1991-2023.

Domain:

climateenvironment and energy

Record type:

software
Creator:
Zoe
Publisher:
Zenodo
Host:avatar

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) products are multi-satellite products containing microwave sensor information, which provides soil moisture (SM) information. Four products are available: The active (scatterometer), passive (radiometer), combined (sensor fusion), and gap-filled (interpolated) datasets.

Based on this data and key variables, like temperature, elevation, or precipitation, SM can be predicted. This algorithm specificially allows the prediction of SM for Eastern Africa from 1991-2023, as well as the computation of spatial cross-validation and performance metrics.