Development of an informatics framework for monitoring ecosystem health

这项研究的重点是应用高光谱遥感监测魁北克省圣希莱尔山温带森林环境中生态系统健康和物候随时间的变化。这项拟议的研究方案涉及收集高时间频率的现场光谱数据和卫星高光谱图像，并将其与生态系统组成、化学和结构信息相结合。现场光谱数据将通过放置在整个森林树冠上的微型光谱仪的创新网络收集。这一数据网络的产品将是树冠生物化学、结构和气体交换的空间显式预测模型。此外，这项研究计划将在基于Cell的处理器和分布式计算网络的计算机集群上整合和分析高光谱数据，以创建处理大量高光谱数据及其交互式三维可视化的优化方案。

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.