Hwang Lee

Hwang Lee

Course Instructor - GGR335H5S, PhD Student Dr. Yuhong He & Dr. Marney Isaac, supervisor

Research and Professional Interests

I am interested in studying factors that cause stress in crops and find ways to automatically detect the areas of stress using high spatial resolution remote sensing images. I am particularly interested in using machine learning regression algorithms and vegetation indices to predict the values of certain crop properties such as: leaf area index, chlorophyl content, nitrogen content, etc.

Peer-Reviewed Publication

  • Lee, H., Wang J., & Leblon, B. (2020). Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn. Remote Sensing, 12(13), 2071, doi: doi.org/10.3390/rs12132071
  • Lee, H., Wang J., & Leblon, B. (2020). Intra-field canopy nitrogen retrieval from unmanned aerial vehicle imagery for wheat and corn fields. Canadian Journal of Remote Sensing, 1-19, doi: 10.1080/07038992.2020.1788384


Research Supervisor/mentor: 
Dr. Yuhong He & Dr. Marney Isaac


PhD Student - University of Toronto
MSc Geography - University of Western Ontario Master’s Thesis: Intra-field Canopy Nitrogen Retrieval from Unmanned Aerial Vehicle Imagery for Wheat and Corn Crops in Ontario, Canada. Supervisors: Dr Jinfei Wang & Dr. Brigitte Leblon (UNB)
BA (hons) Geographic Information Science - University of Western Ontario