SoilGrids: using big data solutions and machine learning algorithms for global soil mapping

Abstract

The SoilGrids system (www.soilgrids.org) uses machine learning algorithms to predict soil type and basic soil properties at seven depths on global extent. These algorithms (i.e., random forests, gradient boosting) are trained with soil observations assembled from 150 000 locations across the globe as stored in WoSIS ...