Catherine Chan is an MS candidate in the School of Forest Resources. Her research is focused on the advanced detection of health stress in agricultural fields and forests, which can prompt management responses to mitigate detrimental conditions such as nutrient deficiencies and disease. New applications in hyperspectral data and imaging spectroscopy to agriculture and forests have shown potential for early stress detection. We build on previous work by assessing three different systems; drought stress in wild blueberry vegetation through multi-temporal observations, disease classifiers in potato fields, and vigor ratings in ash trees on various scales of emerald ash borer (EAB) infestation. The title of Catherine’s thesis is “Application of Airborne Hyperspectral Data in Detection of Health Stress in Wild Blueberry Fields, Potato Fields, and Ash Trees”.
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