This project is part of a larger project, SFA watershed function, which is poised to develop new conceptualizations and insights, as well as novel approaches for characterizing and predicting aggregated watershed hydro-biogeochemical responses to abrupt perturbations. This research topic aims to enhance forest health assessment by combining multiple geophysical methods with machine learning techniques.
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