United States Soil Property Maps at 100-Meter Resolution

SOLUS100 provides spatially continuous maps of 20 soil properties across the United States, developed by the National Cooperative Soil Survey. The dataset is produced using a digital soil mapping framework that combines soil survey data with environmental covariates and machine learning. Most properties are predicted for seven standard depths from 0 to 150 cm.

Use Cases

• Predict spatial distribution of continuous soil properties like clay content or soil organic carbon using environmental covariate data.
• Analyze soil property variation, such as pH or bulk density, across seven standard depth intervals to model soil profiles.
• Support land management decisions by mapping constraints like depth to bedrock or rock content for conservation planning.
• Train machine learning models to interpolate soil properties like cation exchange capacity or electrical conductivity across unsampled areas.

Strengths

• Contains predictions for 20 distinct soil physical and chemical properties.
• Most properties are modeled for seven standard depth intervals, providing vertical dimension data.
• Developed by the authoritative National Cooperative Soil Survey using a consistent national framework.
• Dataset is updated annually with improved data and methodology.

Limitations

• Predictions are model-based and may contain uncertainty not quantified in the provided description.
• The spatial resolution is fixed at 100 meters, which may be too coarse for site-specific analyses.
• Input description lacks validation metrics or ground truth sample sizes to assess prediction accuracy.

Provenance

Source

National Cooperative Soil Survey, Department of Agriculture.

Collection Method

Digital soil mapping combining soil survey data, environmental covariates, and machine learning.

Freshness

Updated annually; last update recorded in March 2026.

Geography

United States.