Hwang Lee

Research and Professional Interests

I am interested in studying the impact of water stress and intercropping on urban greenroofs using remote sensing technology. My area of interest is implementing multi-source remote sensing (optical and thermal) imageries to automatically detect the areas of stress using machine learning algorithms.

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