Development of an informatics framework for monitoring ecosystem health

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The focus of this program of research is the application of hyperspectral remote sensing for monitoring ecosystem health and phenological changes over time in a temperate forest environment in Mount St. Hilaire Quebec. This proposed program of research involves the collection of high temporal frequency in-situ spectral data and satellite hyperspectral imagery and integrates them with ecosystem composition, chemistry and structure information. The in-situ spectral data will be collected through an innovative network of microspectrometers placed throughout the forest canopy. The products of this nexus of data will be spatially explicit predictive models of canopy biochemistry, structure and gas exchange. In addition, this program of research will address the integration and analysis of hyperspectral data on a computer cluster of Cell based processors and a distributed computing network to create an optimized scheme for the processing of large volumes of hyperspectral data and their interactive three dimensional visualization.