3359 Mississauga Road
Mississauga ON L5L 1C6
My Research Interests
My research focuses on remote sensing techniques, geospatial analysis, and ecosystem modelling of natural or managed systems. My 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. This work has been supported by major grants from various internal and external sources, including NSERC, CFI, ERA, et al.
I participate in the following research clusters:
Graduate Student Recruitment
Fully-funded MSc and Ph.D. positions are available at my Remote Sensing and Spatial Ecosystem Modeling laboratory (the RSSEM Lab). Candidates will develop new techniques for quantifying vegetation stress using the latest remote sensing technology. Some of the data will be collected using unmanned aerial vehicles or helicopters carrying hyperspectral sensors, multispectral sensors, as well as thermal sensors. I look for students with the following qualifications: 1) sincere interest in remote sensing and vegetation ecology; 2) strong quantitative skills; 3) remote sensing skills, or the ability to learn them quickly; and 4) excellent oral and written communication skills in English. Applicants should send me a letter of enquiry and curriculum vitae.
Bonney, M. T., and Y. He, 2021. Temporal connections between long-term Landsat time-series and tree rings in an urban-rural temperate forest. International Journal of Applied Earth Observations and Geoinformation. 103: 102523, https://doi.org/10.1016/j.jag.2021.102523
He, Y., J. Yang, and X. Guo. 2020. Green vegetation cover dynamics in a heterogeneous grassland: spectral unmixing of Landsat time series from 1999 to 2014. Remote Sensing. 12(22), 3826. doi.org/10.3390/rs12223826
He Y., J. Yang, J. Caspersen, and T. Jones. 2019. An operational workflow of deciduous-dominated forest species classification: crown delineation, gap elimination, and object-based classification. Remote Sensing. 11(18), 2078. https://doi.org/10.3390/rs11182078.
Proctor, C., B. Lu, and Y. He. 2017. Determining the absorption coefficients of decaying pigments in decaying monocot leaves. Remote Sensing of Environment. 199: 137-153. https://doi.org/10.1016/j.rse.2017.07.007
He, Y. 2014. The effect of precipitation on vegetation cover over three landscape units in a protected semi-arid grassland: temporal dynamics and suitable climatic index. Journal of Arid Environments; 109:74-82.