Ergin Cankaya, PhD

Grad Teaching Assistantship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept Teaching
Grad Research Asst Fellowship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept

Contact

Grad Teaching Assistantship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept Teaching
Email
ergin@ualberta.ca

Grad Research Asst Fellowship, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept
Email
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

MPB PSP Enhanced Forest Monitoring Beginning in 2015, a network of permanent forest sample plots (PSPs) were activated within the Lower Foothills Natural Subregion in Alberta. The goal was to monitor stands that had been impacted by mountain pine beetle (MPB). Plots were re-measured startng in 2020, with the goal of assessing stand dynamics. In this project, the PSP design is expanded to include terrestrial and aerial remote sensing, to complete an enhanced forest monitoring network. Goals in this project include assessing stand response, assessing the ability of growth models to forecast dynamics, and testing and developing new remote sensing technologies.


Teaching

REN R 215 – Forest Measurements

Forest Measurements is a basic course in methods of resource measurement and description. It is oriented towards timber resources; however, many of the techniques and procedures introduced are directly applicable to other resources. Major topics to be covered include basic mensuration (log, tree, stand, and forest measurements), a review of elementary statistical methods in forestry, and basic techniques of forest sampling.