soil-survey

soilDB: Simplified Access to National Cooperative Soil Survey Databases

Predictive Soil Mapping with R (book)

Algorithms for Quantitative Pedology

S4SS: Statistics for Soil Survey

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.

A System of Soil Classification for Making and Interpreting Soil Surveys

PermitAI NEPA MCP Toolkit: MCP servers for federal environmental data, regulatory research, and geospatial screening to support permitting workflows.

Workspace for projects and active development.

Python client for USDA-NRCS Soil Data

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.

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

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

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.

Tools for 'Field Indicators of Hydric Soils'

Disaggregation of Conventional Soil Maps, PhD thesis

Obese Land Viability Checker 🌱 is a Python tool that analyzes soil data and images using machine learning to assess land fertility and suitability for farming in Ghana. 🚜🔍

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