Predictive Soil Mapping with R (book)

soilDB: Simplified Access to National Cooperative Soil Survey Databases

Algorithms for Quantitative Pedology

S4SS: Statistics for Soil Survey

A System of Soil Classification for Making and Interpreting Soil Surveys

An R package that assists with the setup and operation of a collection of soil data summary, comparison, and evaluation reports. These reports are primarily used by USDA-NRCS soil scientists in both initial and update mapping.

Workspace for projects and active development.

user driven SSURGO properties and interpretations

Digital Soil Mapping Focus Teams

Soil Data Access is the name of a suite of web services and applications whose purpose is to meet requirements for requesting and delivering soil survey spatial and tabular data that are not being met by the current Web Soil Survey and Geospatial Data Gateway websites.

The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.

Tools for 'Field Indicators of Hydric Soils'

An advanced soil moisture sensor with micro energy harvesting technology which allows you to use the sensor without the need for constantly recharging it. It operates on wireless technology makig it easy to use and ready to deploy in fields

Analysis-ready Rocker RStudio Server-based Container for the USDA-NRCS-NCSS Kellogg Soil Survey Lab Data Mart 'SQLite' Snapshot

The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images.

A Django web application that helps farmers interprete soil analysis results and give recommendations

A curated list of software, tools, pipelines, plugins etc. for image analysis with particular focus on tools for GIS photogrammetry, remote sensing, topographic imagery analysis.

National Soil Information System (‘NASIS’) Data Model Abstraction Layer

DirtLENS offers precise soil and geological analysis through its innovative light chamber boroscope, providing valuable insights for agriculture, archaeology, and geology. Boasting an intuitive interface, this versatile app caters to both professionals and non-experts in earth science applications.

Disaggregation of Conventional Soil Maps, PhD thesis