Developing Canadian Prairies Natural Land Cover Inventory using Advanced Remote Sensing Technology and Machine Learning Approach

The natural land cover of Canada such as native grasslands and wetlands are not just Canadian landscapes or ecosystems, they are also Canadian heritage and identity. Our land cover is constantly under threat as a result of climate change and human footprint. The role of this research proposal is to build an accurate natural land cover inventory of Canada using advanced satellites and field survey data. The big data that will be utilized in this research will be analyzed in supercomputers in order to create a national map of natural land cover. This research will support the nature conservation and protection efforts and it will keep various stakeholders aware of their impact.

Faculty Supervisor:

Nasem Badreldin

Student:

Partner:

Canadian Forage and Grassland Association

Discipline:

Earth science

Sector:

Agriculture

University:

University of Manitoba

Program: