My research focuses on the development and application of innovative remote sensing and spatial analysis technologies to investigate the linkages between changes in plant biophysical and biochemical traits in relation to environmental and anthropogenic driving factors.
Dr. Yuhong He is an Associate Professor and Department Chair (2018-2023) in the Department of Geography at the University of Toronto Mississauga (UTM). She received her Ph.D. in geography from the University of Saskatchewan in 2008 and joined UTM as an assistant professor in 2009. Her research focuses on remote sensing techniques, spatial analysis, climate data, and ecosystem modelling of natural or managed systems. Her approach exploits observation windows at various spatial and temporal scales to investigate the linkages between changes in plant biophysical and biochemical traits in relation to environmental and anthropogenic driving factors. Her work has been supported by major grants from various internal and external sources including NSERC, CFI, ERA, et al. Her innovative research at the start of her career has been recognized. She received the Early Researcher Award of Ontario in 2015 and was awarded the Early Career Scholar Award from Remote Sensing Specialty Group at the AAG 2011 annual meeting. Dr. Yuhong He have published more than 50 peer-reviewed journal articles and presented over 80 papers at national and international conferences. In 2018, Dr. He co-edited a book entitled High Spatial Resolution Remote Sensing: Data, Techniques, and Applications (CRC Press, Taylor & Francis Group). Dr. Yuhong He serves as an associate editor for Journal of Applied Remote Sensing, is an editorial advisory board member of the ISPRS Journal of Photogrammetry and Remote Sensing, and a guest editor for remote sensing. Dr. He's past service included as a Director of Remote Sensing Specialty Group in AAG (2012-2014) and the GIS program advisor in Geography at UTM. Dr. He's former students have gone on to remote sensing careers both in academic and in industry.
Remote sensing techniques, spatial analysis, climate data, and ecosystem modelling of natural or managed systems