Dr. Stéphanie Landry is an Assistant Professor of Forestry, she also serves as Wildlife Management Program Lead. Her research focuses on wildlife–forest interactions and sustainable forest management in the Acadian Forest region, with expertise in GIS, remote sensing, landscape ecology, and statistical modeling.
Dr. Landry earned her Ph.D. in Biology from the Université du Québec à Rimouski, where her research examined forest regeneration dynamics using LiDAR and satellite imagery in complex forest systems. Her work has been published in leading journals, including Forest Ecology and Management and Remote Sensing, and she collaborates on regional initiatives addressing moose habitat, winter tick impacts, and forest regeneration.
At UMFK, she teaches courses in silviculture, forest management, ecology, and GIS applications. Dr. Landry is committed to providing students with hands-on, field-based learning experiences that integrate applied research, geospatial technologies, and real-world natural resource management challenges.
Landry, S., St-Laurent, M.H., Pelletier, G. and M.-A. Villard (2024). Harvest Block Aggregation as a Driver of Intensive Moose Browsing Pressure on Hardwood Regeneration in a Temperate Forest. Forest Ecology and Management, 522, 121562
Landry, S., St-Laurent, M.H., Pelletier, G. and M.-A. Villard (2020). The best of both worlds? Integrating Sentinel-2 images and airborne LiDAR to characterize forest regeneration. Remote Sensing, 12, 2440.
Landry, S., Villard, M.-A., Nelson, P., Pelletier, G. and M.-H. St-Laurent, (2019). Canopy cover estimation from Landsat images: understory impact on top of canopy reflectance in a northern hardwood forest. Canadian Journal of Remote Sensing, 44(5), 435-446.
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