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SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
2021
SOIL
Abstract. SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 locations worldwide and over 400 global environmental covariates describing vegetation, terrain morphology, climate, geology and hydrology. The aim of this work was the production of global maps of soil properties, with cross-validation,
doi:10.5194/soil-7-217-2021
fatcat:x2en5a3vzrgl5e2h5cg4cafbza