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Published June 5, 2023 | Version v1.0
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Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at global scale (v1.0)

Creators

  • 1. University of Twente

Description

This study investigates the estimation of daily SSM using eight optimised ML algorithms and ten ensemble models (constructed via model bootstrap aggregating techniques and five-fold cross-validation). The algorithmic implementations were trained and tested using the international soil moisture network (ISMN) data collected from 1722 stations distributed across the World. 

Files

ITC-WS-AI/ML_SSM-v1.zip

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Additional details

Related works

Is supplement to
https://github.com/ITC-WS-AI/ML_SSM/tree/v1 (URL)