S4SS: Statistics for Soil Survey
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Updated
Mar 6, 2025 - HTML
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.
Soil organic carbon data recovery and harmonization (SOC-DRaHR)
Workspace for projects and active development.
Soil Data Access Scripts
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.
Soil analyzer using an USB microscope - for Linux PC and Beaglebone Black
A tidy & reproducible workflow for soil physical testing
** DEVELOPMENT CODE ** Code sharing development group. HRC shall not be held liable for any claim for any loss or damage as a result of reliance on the information contained in this repository.
Irrigation System μPiHAT for hobby or scientific use. This repo provides a full design process to create your own μPiHAT PCB from scratch. It allows you to control solenoid valves (although the system can be modified slightly to control various sub systems) from input taken from soil moisture sensors (these can also be substituted with other sen…
This repository aims to develop Near Real-Time GNSS Interferometric Reflectometry (GNSS-IR) software. The goal is to extract environmental parameters, like sea level, snow depth, and soil moisture, from GNSS signal-to-noise ratio data in near real time.
Assessment of Tropical Forest and Soil Resources - Uganda workshop
SNAPP - Soil Organic Carbon Twitter data
3D-Printable Irrigation Computer with soil moisture sensor
Soil Predictor System is a Flask-based ML API that processes soil sensor data to predict Erosion Level, Irrigation Need, and Soil Condition. It supports real & simulated data, provides a API, and includes a basic web UI. 🚀 Deployed on Railway.app for remote access.
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