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SoilGrids250m 2.0 - A system for digital soil mapping based on global compilation of soil profile data and environmental layers
SoilGrids is a system for digital soil mapping based on global compilation of soil profile data and environmental layers. It uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe at six standard depth intervals and a spatial resolution of 250 meters. The maps are publicly available under the CC-BY 4.0 License and can be accessed through various services.
14 de jun. de 2021 · SoilGrids 2.0 is a product that provides soil information for the entire globe at medium spatial resolution using machine learning methods and soil observations. It also quantifies the spatial uncertainty of the predictions and evaluates the performance of the models for different soil properties.
SoilGrids is a system for global digital soil mapping that uses machine learning to model the spatial distribution of soil properties across the globe. It produces maps of soil chemical and physical properties, water content, organic carbon stocks and more at 250 m resolution. Learn how to access, use and improve SoilGrids maps and data.
SoilGrids is a system for automated soil mapping based on global soil profile and covariate data, using machine learning and statistics. Learn about the features, accuracy, cost, and access of SoilGrids 2017, a collection of updatable soil property and class maps of the world at 1 km and 250 m spatial resolution.
16 de feb. de 2017 · SoilGrids250m provides predictions for standard numeric soil properties and soil classes at 250m resolution, based on ca. 150,000 soil profiles and remote sensing covariates. The paper describes the technical development and accuracy assessment of the improved version of SoilGrids, available under the Open Data Base License.
9 de nov. de 2020 · This article reports on the peer review of SoilGrids 2.0, a tool for producing quality-assessed soil information for the globe with quantified spatial uncertainty. The article provides the reviewers' comments, the authors' responses, and the final revisions of the article.
