Ergin Cankaya, PhD
Contact
Grad Research Asst Fellowship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept
- ergin@ualberta.ca
Grad Teaching Assistantship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept Teaching
- ergin@ualberta.ca
Grad Teaching Assistantship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept Teaching
- ergin@ualberta.ca
Overview
Area of Study / Keywords
Remote Sensing LIDAR Forest Biometrics Forest Growth and Yield Modeling
About
Modeling forest stand dynamics and applying quantitative analysis techniques to forestry problems by using remote sensing and application of LiDAR technology from handheld, stationary ground and airborne platforms.
Research
My research interests include investigating advanced methods for measuring and analyzing forest structures using multiple lidar sensors (ALS, TLS and MLS). I am focused on utilizing remote sensing data to enhance models that predict forest growth and yield. Additionally, I develop and optimize database systems for efficient forest inventory management. My work also involves assessing the impact of climate change on forest ecosystems, specifically focusing on tree growth and mortality patterns. Furthermore, I leverage various lidar platforms and state-of-the-art algorithms to extract critical forest inventory metrics using machine learning and deep learning techniques.
Teaching
REN R 201 - Introduction to Geomatic Techniques in Natural Resource Management
REN R 215 - Forest Measurement
REN R 295 - Special Topics in Field Skills and Their Application in Forest Sciences
Featured Publications
Turan Sonmez, Burhan Gencal, Ergin C. Cankaya
Forestist. 2022 June; 10.5152/forestist.2022.22010
Ergin C. Cankaya, Can Vatandaslar, Mustafa Zeybek, Tugay Demiraslan
Forestry Research Journal. 2022 June; 10.17568/ogmoad.1016879
Carolyn Copenheaver, Michael J. Pulice, Nathaniel J. W. Lawrence, Chance H. Raso, Ergin C. Cankaya, Heng Wan, Benjamin T. Poling
Écoscience. 2017 April; 10.1080/11956860.2017.1354579
View additional publications