My interests are in terrestrial cryospheric processes for advancing our understanding of climate change and water resource management. 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 snow accumulation, therefore, are critical to help better understand changes to the cryosphere and more efficiently manage snow water resources.

One aim of my research group is to develop and apply novel approaches to estimate and map snow accumulation and water storage on the Earth using satellite remote sensing systems. To this end, the group conducts field work, and develops and uses physics-based, empirical and geospatial models of snow and wintertime landscapes to advance our understanding of snow on the Earth's surface.My research relates to substantial questions concerning how the cryosphere is responding to global environmental change.

A second emerging area of research is in the monitoring and mapping of water resources in developing countries. For example, a current project explores the use of remote sensing for water resource management in southern India. The work ultimately connects with the UNs Sustainable Development Goals through the leveraging of technological solutions for local scale applications. 

My research group is strongly focused on these goals. Graduate students have gone on to research or consultancy positions with Environment and Climate Change Canada, MDA, (Teledyne) Optech Inc., Canadian Ice Service, etc. Therefore, I am interested in students who can demonstrate a strong motivation to achieve academic excellence in these areas and/or whose interests in novel remote sensing science or theory can contribute to our research. If you have expertise and interests in remote sensing and/or physical geography of the cryosphere/water resources, please explore my web pages and contact me to find out more.

Current graduate student opportunities (September 2018 start) are available at the PhD or MSc level in:

Earth observation and data science

  • Using machine learning for snow accumulation estimates from space;
  • Evaluation of the MODIS albedo product for snow covered terrain in Canada
    (with ECCC) [MSc];
  • Remote sensing of seasonal snow accumulation using synthetic aperture radar (SAR) 
    from satellite based systems (Sentinel, Radarsat, ALOS) [PhD or MSc];
  • Remote sensing of seasonal snow for climate-scale studies using native and enhanced
    resolution satellite passive microwave observations from AMSR2, AMSR-E and SSMI
    instuments [MSc];
  • Airborne Ku and L-band SAR studies of terrestrial seasonal snow and ice [PhD];


Snow climatology and water resource management

  • Ontario snow climatology study [PhD];
  • Remote sensing of water resources in developing countries [MSc or PhD];
  • Use of social media for citizen science applications of snow accumulation [MSc].


Fully funded opportunities are available for students who are Canadian citizens or Canadian Permanent Residents. For international students there might be opportunites but these are more competitive and are contingent on funding. Please contact me if you would like to find out more.