Application of A.I. Techniques and Remote Sensing to Predict Water Quality

The project will develop an A.I. based model and framework to predict water quality conditions in lakes and/or larger streams using satellite imagery. The approach will be generalized and automated so that it can be easily applied to quantify water quality for water bodies in various regions within Canada. Models will be trained using government sourced and community based monitoring data, where available. The technology will be integrated into a web-based application to enable easy access to data and analysis tools.

Faculty Supervisor:

Prasad Daggupati

Student:

Partner:

Greenland International Consulting

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.