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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 uses machine learning and environmental layers to map soil properties at 250 m resolution. Access the latest release of SoilGrids maps, data and uncertainty layers through WMS, WCS, WebDAV or Google Earth Engine.
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. Learn about the properties, depth intervals, quantiles, accuracy, data-sharing policy, and access to SoilGrids maps.
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 system, and its availability under the Open Data Base License.
SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. Learn about the methods, data, accuracy, access and updates of SoilGrids1km and SoilGrids250m maps.
16 de feb. de 2017 · SoilGrids provides global predictions for standard numeric soil properties (organic carbon, bulk density, Cation Exchange Capacity (CEC), pH, soil texture fractions and coarse fragments) at seven standard depths (0, 5, 15, 30, 60, 100 and 200 cm), in addition to predictions of depth to bedrock and distribution of soil classes based ...
