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Siyu Wang

PhD Student

Contact Information

Email: siyuclaire.wang@mail.utoronto.ca
Phone: 905-569-4235
ResearchGate: Profile


Working with Dr. Ingo Ensminger, Siyu is currently a doctoral student in Ecology and Evolutionary Biology at the University of Toronto studying phenology at different scales. Siyu loves nature, cares about climate change and broadly interested in the use of remote sensing as a tool in environmental science. Her research interests include land surface phenology in the northern hemisphere and biosphere-climate interactions in the context of climate change. She obtained her master’s degree in Global Environmental Change in Beijing Normal University, which is the only university in China that offers a master program focused on Global Environmental Change. During her master study, she used Eddy Covariance and MODIS products to estimate the key transition dates of vegetation in pan-Arctic region.

Outside her research, Siyu enjoys drawing, playing badminton and bird watching.


MSc (Global Environmental Change) Beijing Normal University, Beijing, China (2017-2020)
BSc (Geographic Information Science) China University of Mining and Technology, Xuzhou, China (2013-2017)


  • S. Wang and X. Lu et al., Limitations and challenges of MODIS-derived phenological metrics across different landscapes in pan-Arctic region, Remote Sensing, vol. 10, iss. 11, pp. 1784, Nov 2018. https://www.mdpi.com/2072-4292/10/11/1784
  • X. Lu, X. Cheng, X. Li, J. Chen, M. Sun, M. Ji, H. He, S. Li, S. Wang, J. Tang et al., Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison, Science of The Total Environment, vol. 644, pp. 439-451, Dec 2018. https://www.sciencedirect.com/science/article/pii/S0048969718323453


  • A. Harikumar, S. Wang, and I. Ensminger, “A Band Grouping Based Approach for Phenotype-Class Mapping of Tree Genotypes using Spectro-Temporal Information in Hyperspectral Time-series UAV Data,” IGARSS 2021, Jul. 2021 (accepted).
  • S.Wang, W.Smith, X.Li and D.Moore,Does an earlier start of growing season also mean a later end of season in Arctic? (C23D-1586), San Francisco, CA, United States, Dec 2019 (poster, title changed)
  • S. Wang et al., Uncertainties of MODIS-derived phenological metrics in pan-Arctic region, Founding Ceremony of Specialized Committee for Polar Environment and Ecosystem / First International Symposium for Polar Environment and Ecosystem, Harbin, China. Oct 2018 (talk)
  • S. Wang et al., How Chinas NDC Guide Youth Action, 2017 United Nation Climate Change Conference COP23, Bonn, Germany. Nov 2017(talk)
  • S. Wang and X. Li, Analysis of the Navigability of the Northeast Passage Based on Remote Sensing Data, Arctic-Chinese Cooperation Seminar, Aalborg, Denmark. Jan 2018(talk)
  • S.Wang, A. Harikumar, S. Wang, and I. Ensminger, “Can Drone Based Vegetation Indices Track Photosynthetic Phenology in Forest Ecosystems?” Canadian Society of Plant Biologists (CSPB-SCBV 2021), Jun 2021.
  • X. Lu, S. Wang, X. Li and X. Cheng “Uncertainties of MODIS-derived phenological metrics of the pan-Arctic regions ”, EGU 2018 General Assembly, in Vienna, Austria. Apr 2018.