soil-data

What problem does it solve?

This Skill solves the problem of turning raw soil measurements and map-derived datasets into actionable soil property estimates, including soil organic carbon (SOC) stocks, USDA texture classification, spatial interpolation, and visual profiles.

Core Features & Use Cases

• SoilGrids 2.0 data retrieval: Query soil properties by point or within a bounding-box grid using the SoilGrids 2.0 REST API and return tidy DataFrames with means and uncertainty.
• SOC stock computation: Compute SOC stocks from bulk density and SOC concentration across depth intervals, including profile-level aggregation.
• Texture classification & visualization: Classify soil texture using the USDA texture rules (via sand/clay inputs) and visualize depth profiles with horizontal bar charts.
• Spatial interpolation (kriging): Perform ordinary kriging with a fitted spherical variogram to interpolate soil properties over a target grid.
• SSURGO support (R): Demonstrate SSURGO horizon retrieval and SOC stock calculation using soilDB and related R packages.

Quick Start

Use the soil-data skill to estimate SOC and soil texture for a study area by querying SoilGrids at your chosen bounding box and depth, then generating a depth-profile visualization for the resulting properties.