A remote sensing-based wetland inventory and classification framework for Newfoundland and Labrador using satellite optical and synthetic aperture radar data

This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach will help Ducks Unlimited Canada for conserving wetland and for waterfowl, wildlife and people. In addition, the wetland classification system will help Stantec for their environmental assessment projects and identify, evaluate, and map wetlands in relation to various land use management initiatives.

Faculty Supervisor:

Bahram Salehi

Student:

Somayeh Yavari

Partner:

Stantec Consulting Ltd.

Discipline:

Engineering

Sector:

Natural resources

University:

Memorial University of Newfoundland