Soil Landscapes of the United States 100m (SOLUS100)
Type Raster Dataset
Summary
Soil Landscapes of the United States (SOLUS) is a national map product developed by the National Cooperative Soil Survey and focused on providing a consistent set of spatially continuous soil property maps to support large scope soil investigations and land use decisions. SOLUS maps use continuous property mapping, which predicts soil physical or chemical properties in horizontal and vertical dimensions. The soil properties are represented across a continuous range of values. Raster datasets of select soil properties can be predicted at specified depths or depth intervals.
Description
SOLUS maps use a digital soil mapping framework that combines multiple sources of soil survey data with environmental covariate data and machine learning. The SOLUS100 maps are a set of 100 m spatial resolution maps that predict 20 soil properties (listed below with units) at 7 depths with uncertainty estimates for the contiguous United States. Very Fine Sand (%)Fine Sand (%)Medium Sand (%)Coarse Sand (%)Very Coarse Sand (%)Total Sand (%)Silt (%)Clay (%)pHSoil Organic Carbon (%)Calcium Carbonate Equivalent (%)Gypsum Content (% by weight)Electrical Conductivity (mmhos/cm)Sodium Adsorption RatioCation Exchange Capacity (meq/100 g)Effective Cation Exchange Capacity (meq/100 g)Oven Dry Bulk Density (g/cm^3)Depth to Bedrock (cm)Depth to Restriction (cm)Rock Fragment Volume (%)Each property listed above is predicted at 0, 5, 15, 30, 60, 100, and 150 cm depths. Each property-depth prediction has an estimate of uncertainty expressed as the relative prediction interval (RPI) that ranges from 0 to 1. RPI is a relative measure of uncertainty with high values being more uncertain. It is computed as the ratio of the 95 percent prediction interval width to the training set 95 percent quantile width (97.5 percent quantile value minus 2.5 percent quantile value). Values closer to 0 indicate lower uncertainty and values closer to 1 indicate higher uncertainty. Values greater than 1 indicate that the prediction at that location is outside the range of the training data used for that property at that depth. Prediction interval high and low are also provided. Property prediction and uncertainty layers follow the naming convention: propertyname_depth_cm_p (predicted property values)propertyname_depth_cm_rpi (relative prediction interval)propertyname_depth_cm_l (prediction interval low)propertyname_depth_cm_h (prediction interval high)Select property, prediction interval, and RPI layers have been rescaled to provide the data in integer format. Information about scaling factors is provided in the Fields section of this document. A summary table with layer filename, property, depth, filetype, scalar, description, and units is also included with the maps: Final_Layer_Table_20231215.csvSOLUS webpage: https://www.nrcs.usda.gov/resources/data-and-reports/soil-landscapes-of-the-united-states-solus
Credits
The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data.
Use limitations
The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This dataset is not designed for use as a primary regulatory tool in permitting or citing decisions, but it may be used as a reference source. This dataset is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from the maps do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data.Although data in this product have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer-readable format and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals. Request for adjustment of credit must be made within 90 days from the date of ordering. The U.S. Department of Agriculture nor any of its agencies are liable for misuse of the data. It is also not liable for damage, transmission of viruses, or computer contamination through the distribution of these datasets. The U.S. Department of Agriculture prohibits discrimination in its programs on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, and marital or familial status. (Not all prohibited bases apply to all programs.)
Extent
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Scale Range
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