Development of an informatics framework for monitoring ecosystem health

本研究项目的重点是应用高光谱遥感技术监测魁北克圣希莱尔山温带森林环境的生态系统健康和物候变化。本研究项目包括采集高时间频率的原位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冠层的微型光谱仪的创新网络收集。这种数据联系的产物将是冠层生物化学、结构和气体交换的空间明确预测模型。此外，该研究项目将解决基于Cell处理器和分布式计算网络的计算机集群上高光谱数据的集成和分析，以创建一个优化方案，用于处理大量高光谱数据及其交互式三维可视化。

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.