Phuong Dao

Phuong Dao
PhD Candidate

Contact: phuong.dao@mail.utoronto.ca
Supervisor: Dr. Yuhong He
Hometown: ToroBac Ninh Province, Vietnam

ABOUT ME

Education

  • Ph.D. Candidate in Physical Geography, Department of Geography, University of Toronto – Mississauga, Canada
  • Ph.D. Candidate in Environmental Studies, School of the Environment, University of Toronto – St. George, Canada
  • MSc. in Remote Sensing Science and Technology, Center for Space and Remote Sensing Research, National Central University, Taiwan
  • BEng. in Surveying Engineering, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Vietnam

Research and Professional Interests

Phuong Dao is currently a PhD candidate in physical geography with a collaborative specialization in Environmental Studies in the School of the Environment, University of Toronto. He is working on a grassland drought project in the Remote Sensing and Spatial Ecosystem Modeling laboratory (the RSSEM Lab), under the supervision of Prof. Yuhong He. His PhD project focuses on investigating changes in grassland biophysical and biochemical properties, including leaf pigments, chlorophyll fluorescence, water, leaf area index, and biomass under drought stress by means of the integration of ground-based and airborne hyperspectral remote sensing, chemical experiments, and modelling. He also earned a Master of Science degree in Remote Sensing Science and Technology from the National Central University in Taiwan in 2015 and a Bachelor of Engineering in Surveying Engineering from Hanoi University of Mining and Geology in Vietnam in 2011.

Why Geography at UTM?

I chose UTM mainly because my research direction aligns well with my supervisor, Dr. Yuhong He. We have great support from other students in our research groups, with solid backgrounds in ecology, remote sensing and GIS, and wholehearted support from Professor He. Our laboratory is well-equipped to meeting practically every need of my research. The support from other faculty and the great graduate community at UTM is another feature that attracted me. In addition, the beauty of the campus, which is surrounded by forest and quiet environments, is also a great place for research.

Honours and Awards

  • 2019 Best Paper Award, University of Toronto – Mississauga
  • 2017 Graduate Student Research Awards, Centre for Global Change Science, University of Toronto
  • 2016 Connaught International Scholarship for Doctoral Students, University of Toronto
  • 2016 University International Postgraduate Award-PhD, University of New South Wales (Declined)
  • 2016 Tasmania Graduate Research Scholarship-PhD, University of Tasmania (Declined)
  • 2015 UNSW Postgraduate Research Scholarships-PhD, University of New South Wales (Declined)
  • 2015 NCU International Student Scholarship-PhD, National Central University (Declined)
  • 2013 NCU International Student Scholarship-Master, National Central University
  • 2014 Award for the excellent oral presentation, International Conference on Earth Observations and Societal Impacts ICEO&SI2014
  • 2011 The second prize, Mining and Geology’s symposium of Science, Hanoi University of Mining and Geology
  • 2010 Award for outstanding student, Hanoi University of Mining and Geology
  • 2008 The Third prize, 11th National Physics Olympiad, Vietnam
  • 2007-2011 Scholarship for excellent student, Hanoi University of Mining and Geology

Publications and Presentations

  • Proctor, C., Dao, P.D., He, Y. 2019. Development and testing of a high-performance close-range heavy-duty hyperspectral imaging system. International Journal of Applied Earth Observation and Geoinformation. (SCI, IF: 4.846). (Under review)
  • Laamrani, A., Berg, A., Voroney, P., Martin, R.C., Feilhauer, H., Blackburn, L., March, M., Dao, P.D., He, Y. 2019. Ensemble identification of spectral bands related to soil organic carbon levels over an agricultural field in southern Ontario, Canada. Remote Sensing, 11, 1298. https://doi.org/10.3390/rs11111298 (SCI, IF: 4.118).
  • Dao, P.D., Mong, N.T., Chan, H.-P. 2019. Landsat-MODIS image fusion and object-based image analysis for observing flood inundation in a heterogeneous vegetated scene. GIScience & Remote Sensing. https://doi.org/10.1080/15481603.2019.1627062 (SCI, IF: 3.588).
  • Lu, B., He, Y., Dao, P.D. 2019. Comparing the performance of multispectral and hyperspectral images for estimating vegetation properties. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–14. https://doi.org/10.1109/JSTARS.2019.2910558 (SCI, IF: 3.392).
  • Dao, P.D., He, Y., Lu, B. 2019. Maximizing the quantitative utility of airborne hyperspectral imagery for studying plant physiology: An optimal sensor exposure setting procedure and empirical line method for atmospheric correction. International Journal of Applied Earth Observation and Geoinformation, 77, 140–150. https://doi.org/10.1016/j.jag.2018.11.010 (SCI, IF: 4.846).
  • Chan, H.-P., Chang, C.-P., Dao, P.D. 2017. Geothermal anomaly mapping using Landsat ETM+ data in Ilan Plain, Northeastern Taiwan. Pure and Applied Geophysics, 1–21. https://doi.org/10.1007/s00024-017-1690-z (SCI, IF: 1.652)
  • Dao, P.D., Liou, Y.-A. 2015. Object-based flood mapping and affected rice field estimation with Landsat 8 OLI and MODIS data. Remote Sensing, 7, 5077–5097. https://doi.org/10.3390/rs70505077 (SCI, IF: 3.180)