Assessing soil parameters using reflectance spectroscopy

The goal of the research undertaken as part of this project is to develop a system to measure soil properties in the field based on near infrared light reflectance. Using machine learning, the complex near infrared data can be turned into valuable soil analytical data. By supporting this research, Route 7 Inc. will obtain an innovative portable soil measurement system that will provide data on soil immediately in the field for much cheaper than currently used laboratory analytical testing. Using this system, Route 7 Inc. will be able to develop a faster, yet accurate and reproducible, soil testing method for hydrocarbon contamination, reducing the costs to remediate contaminated oil and gas facilities.

Faculty Supervisor:

Sylvie Quideau

Student:

Preston Sorenson

Partner:

Route 7 Inc

Discipline:

Resources and environmental management

Sector:

Environmental industry

University:

University of Alberta