Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at global scale (v1.0)

<p>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.&nbsp;</p>