Link to the SoilWeb GMap web application at your current location.
Component links to related web apps: Series Extent Explorer (SEE) and Soil Data Explorer (SDE). Links to Official Series Descriptions (OSDs) generated automatically. Component details: soil taxonomy, soil property depth profiles, land classification ratings, hydraulic and erosion ratings, forest productivity, soil suitability ratings. Soil survey area scale and publication date. Map unit aggregate data such as estimated water holding capacity. Soil profile sketches, estimated proportions, and geomorphic position of soil components associated with the SSURGO "map unit" identified at your current location. More information about SSURGO is available at However, SoilWeb for iOS conveniently provides a link to the SoilWeb GMap web app. SoilWeb GMap features an interactive map for viewing and querying individual map units, while this app does not. This app was designed to be a lightweight version of the SoilWeb GMap web application. Please see here for more information.The SoilWeb for iOS application accesses soil survey information (the SSURGO dataset, published by the USDA Natural Resources Conservation Service) at your current location. The SoilGrids dataset is also available through the SoilGrids interface and a number of other protocols and services. In particular, GEE facilitates access for modelers from numerous disciplines that already use the platform for their applications.Īdding this important soil dataset to Google Earth Engine is in line with ISRIC – World Soil Information’s mission to make our products as easy to use and as widely available as possible. Uploading SoilsGrids data to Google Earth Engine is a significant milestone for the project because it expands access for data users. The additional layers- median, 5th percentile and 95th percentile-will be uploaded soon to GEE. Four different predictions were obtained from the predictive distribution at each pixel of the map: mean, median, the 5th percentile, and the 95th percentile, following the international specification of GlobalSoilMap project.Ĭurrently, layers representing the mean of predictive distribution are provided. The use of Quantile Random Forest allowed the spatial assessment of the uncertainty. SoilGrids provides maps for ten different soil properties at six different depths.
More information on how to access the SoilGrids assets is available here: The upload of selected SoilGrids layers to Google Earth Engine (GEE) datasets was completed on Tuesday, October 20. SoilGrids is a project of ISRIC – World Soil Information which aims to provide a globally consistent, data-driven system that predicts soil properties and classes using global covariates and globally fitted models with a digital soil mapping approach based on Quantile Random Forest. SoilGrids, a global soil properties maps, is now available to use via Google Earth Engine.