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My research will support the emerging spectrum of environmental issues throughout the cold region, applying remote sensing methods and mathematical modeling. I study the response of cold region hydrology related to changing the climate, such as lake ice, snow cover, land cover incorporate satellite observations of surface and subsurface processes in mesoscale numerical models. My current areas of interest include the development of statistical modeling and machine learning of the relationship between ice extent, environmental drivers, and water quality, the response of lakes to contemporary and projected climate conditions.
The research program will focus on the following themes:
I am recruiting highly qualified undergraduate thesis, MSc, and PhD students in fields of remote sensing and modeling in cold region hydrology. Students who have northern research experience, have expertise in UAS and orbital remote sensing analysis, model development and machine learning techniques apply here.