Mohamed Abbas
I hold a B.A. degree in Geography from Kafrelsheikh University in Egypt. After moving to Canada in 2014, I pursued further education, earning a postgraduate diploma in GIS and an M.Sc. degree in Geography (Remote Sensing) from the Université du Québec à Montréal (UQAM).
I have extensive professional experience as a GIS Specialist, working on land planning and management projects in various municipal departments across the province of Quebec. Additionally, I have worked as a Land Use Change Analyst at Environment and Climate Change Canada. My work experience spans a wide range of geomatics applications, including land use/land cover mapping, image segmentation, watershed analysis, spatial planning, and photo-interpretation in forestry and agriculture.
My Research:
Precise estimation of greenhouse gas (GHG) emissions and detailed monitoring of the carbon cycle are essential for mitigating and adapting to climate change. On Canada’s agricultural lands, woody vegetation, such as trees, shrubs, and shelterbelts, accumulates biomass over multiple years and serves as a significant carbon sink. In this context, my research focuses on leveraging multi-sensor remote sensing data – particularly LiDAR and very high-resolution multispectral imagery – to detect and segment woody vegetation in and around croplands. Using advanced deep learning segmentation techniques, the project aims to quantify the multi-temporal dynamics of carbon stocks and analyze their spatial distribution. This project will be conducted in collaboration with Agriculture and Agri-Food Canada and funded through the Research Affiliate Program of the Government of Canada.