Professor and Chair

Room EV1-119, ext. 35451
F2017 office hours: Contact professor

Richard joined the department in 2006 having spent 5 years as an associate research scientist at NASA. His research interests are in snow and ice hydrology and especially in the measurement of snow and ice from Earth observing remote sensing instruments. His research focuses on the use of active and passive remote sensing instruments to estimate global water storage in seasonal snowpacks.

Find out more about Richard Kelly's research on his website. And follow him on his blog.

Key Areas of Graduate Supervision
remote sensing, snow hydrology, snow climatology, geospatial modelling of snow, citizen science

Recent Courses Taught
GEOG371: Advanced Remote Sensing Techniques
GEOG471: Remote Sensing Project
GEOG603: Remote Sensing and Earth System Science

Research Interests
My research interests are in snow and ice hydrology and especially in the measurement of snow and ice from Earth observing remote sensing instruments. This research focuses on the use of active and passive remote sensing sensors to estimate global water storage in seasonal snowpacks. I am also interested in how in situ measurement strategies can be deployed to support remote sensing observations and numerical hydrologic models of snow. I have conducted field work in several parts of the world (N. America, Europe and Asia) to support these activities.

These research interests relate to substantial questions concerning how the cryosphere is responding to global environmental change. In many places, seasonal snowmelt makes a significant contribution to the annual water budget. Quantifying regional snow water storage is crucial for effective water resource management. With global environmental change, we are starting to observe changes to seasonal snow dynamics that will affect people in many parts of the world. Fundamental accurate observations and measurements of the cryosphere, therefore, are critical to help better understand changes to the cryosphere and more efficiently manage snow dominated water resource.

Recent Publications

  • King, J.M., R.E.J. Kelly, A. Kasurak, C. Duguay, G. Gunn and J.Mead (in press) UW-Scat - A Ground-Based Dual Frequency Scatterometer for Observation of Snow Properties, IEEE Geoscience and Remote Sensing Letters.
  • Kelly, R.E.J. (2011) Remote Sensing and Canadian Snow and Ice Climatology, in Canada’s Changing Cold Environments, H.O. Slaymaker and H.M. French (Eds), Chichester: John Wiley and Sons Ltd., UKFrei, A., M. Tedesco, S. Lee, Foster, J., D. Hall, R. Kelly and D. Robinson (2011) A review of current-generation satellite-based snow products, Advances in Space Research. doi:10.1016/j.asr.2011.12.021
  • Pelto, M., and Kelly, R. (2011). Eastern Snow Conference. Hydrological Processes, 25(21), 3267-3267. doi:10.1002/hyp.8197
  • Kasurak, A., R.E.J. Kelly and A. Brenning (2011) Linear mixed modelling of snow distribution in the central Yukon, Hydrological Processes, Volume 25, Issue 21, 15 October 2011, Pages: 3332–3346, DOI: 10.1002/hyp.8168
  • Foster, J.L., D.K. Hall, J.B. Eylander, G.A. Riggs, S.V. Ngheim, M. Tedesco, E. Kim, P. Montesano, R.E.J. Kelly, K. Casey and B. Choudhury (2011) A blended global snow product using visible, passive microwave and scatterometer satellite data, International Journal of Remote Sensing, 32(5): 1371-1395.
  • Bao, Z., R.E.J. Kelly, and R. Wu (2010) Variability of regional snow cover in spring over western Canada and its relationship to temperature and circulation anomalies, Int. J. Climatology, DOI: 10.1002/joc.2155.
  • Casey, J.A. and R.E.J. Kelly (2010) Estimating the equilibrium line of Devon Ice Cap, Nunavut, from RADARSAT-1 ScanSAR wide imagery , Can. J. Remote Sensing  Special Issue, 36: S41-S55.
  • Kang, K., Duguay, C., Howell, S., Derksen, C. and Kelly, R.E.J. (2010) Sensitivity of AMSR-E Brightness Temperatures to the Seasonal Evolution of Lake Ice Thickness, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2010.2044742.
  • Zhang, J., P. Kyriadis, R.E.J. Kelly (2009) Geostatistical approaches to conflation of continental snow data, International Journal of Remote Sensing, 30(20): 5441 – 5451
  • Kelly, R.E.J. (2009) The AMSR-E Snow Depth Algorithm: Description and Initial Results, Journal of The Remote Sensing Society of Japan. 29(1): 307-317. (GLI/AMSR Special Issue).
  • Luus, N. and R.E.J. Kelly (2008) Assessing Productivity of Vegetation in the Amazon using Remote Sensing and Modeling, Progress in Physical Geography 32(4): 363-378.
  • Foster, J. L., D. K. Hall, R. E. J. Kelly, and L. Chiu (2009) Seasonal Snow Extent and Snow Mass in South America Using SMMR and SSM/I Passive Microwave Data (1979-2003), Remote Sensing of Environment, 113(2):291-305.
  • Butt, M. and R.E.J. Kelly (2008) Monitoring snowcover in the UK using passive microwave remote sensing observations and the HUT model, International Journal of Remote Sensing. Doi: 10.1080/01431160801891754
  • Cline, D., Yueh, S., Chapman, B., Stankov, B., Gasiewski, A., Masters, D., Elder, K., Kelly, R.E.J., Painter, T.H., Miller,S., Katzberg, S. and Mahrt, L. (2008): NASA Cold Land Processes Experiment (CLPX 2002–2003): Airborne Remote Sensing. Journal of Hydrometeorology, DOI: 10.1175/2008JHM883.1.
  • Kelly, R.E.J. and D.K. Hall (2008) Remote sensing of terrestrial snow and ice for global change studies, in Chuvieco, E. (Ed) Earth Observation of Global Change, Springer. 189-219.
University of Waterloo

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