CEAP Grazing Lands
SSURGO query tooling and soil-characteristic extraction for grazing land analysis
This repository documents SQL workflows, reference materials, and supporting resources developed for CEAP Grazing Lands to extract and organize SSURGO / gSSURGO soil characteristics for modeling, analysis, and related project work.
The project focuses on helping users retrieve specific soil properties and component-level information that support vegetation, hydrology, grazing-land assessment, and conservation-effect modeling.
Repository links
- GitHub repository: jneme910/CEAP-Grazing-Lands
- Project site: jneme910.github.io/CEAP-Grazing-Lands
Project purpose
The goal of this work is to provide a practical way to extract soil characteristic data from gSSURGO / SSURGO for use in CEAP Grazing Lands modeling and related analytical workflows.
This includes support for:
- identifying soil properties that influence vegetation and water dynamics
- organizing data for modeling conservation practice effects
- enabling tabular and spatial review of soil component information
- improving access to soil characteristics needed by analysts and project collaborators
Why this project matters
Grazing-land and conservation modeling often depend on access to well-structured soil data that is not always easy to assemble for analytical use. This repository helps bridge that gap by documenting SQL-based approaches for retrieving and organizing soils information relevant to project workflows.
It is particularly useful for users working with:
- SSURGO and gSSURGO data
- soil property extraction
- grazing-land assessment
- conservation analysis
- NRCS-related data workflows
- map-based and tabular soil review
What this repository contains
This repository includes:
- SQL scripts for CEAP Grazing Lands data extraction
- supporting spreadsheets and reference documentation
- links to management studio and Soil Data Access versions of queries
- descriptions of key soil characteristics used in analysis
- supporting context for MLRAs and basemap layers
Key resources
Additional information
SQL resources
Soil characteristics addressed
The repository is designed to help retrieve and review soil information such as:
- soil moisture and temperature classes, subclasses, and regimes
- surface texture characteristics
- surface cover of coarse fragments
- coarse fragments in the top horizon
- soil depth
- water table information
- hydrologic group
- slope class
- available water capacity and storage
- soil chemistry characteristics
- restrictions and restriction kinds
- diagnostic horizons and features
- ecological site identifiers and names
- soil component names
These data elements help support deeper analytical understanding of the soil factors that influence grazing-land performance and conservation outcomes.
Reference geography and map context
Major Land Resource Areas (MLRAs)
Major Land Resource Areas are included as a reference layer to support querying and interpretation. They provide regional context tied to soils, climate, water resources, land use, physiography, geology, and biological resources.
Base maps
The tool context uses standard basemap resources to provide geographic orientation and support interpretation of selected areas.
Audiences
This repository is most useful for:
- soil scientists
- GIS specialists
- conservation analysts
- grazing-land modelers
- NRCS-related technical staff
- users needing structured soil-property extraction from SSURGO/gSSURGO
Technologies and data themes
- SQL / T-SQL
- SSURGO / gSSURGO
- soil property extraction
- conservation analysis
- grazing lands
- NRCS workflows
- GitHub Pages
Best-practice improvement ideas
To make this repository even stronger for technical audiences and hiring visibility, consider adding:
- sample outputs or screenshots from the tool
- a short workflow diagram showing how data moves from SSURGO to analysis
- a “how to use this repository” section for new users
- a file structure summary for SQL, documents, and site content
- notes on intended users and downstream modeling use cases
If you work with soil data, grazing-land analysis, SSURGO workflows, or conservation modeling, this repository provides a strong example of applied soil-data extraction for real-world analytical use.