WATERS Network: Observing and Predicting Freshwater Eutrophication-Algal Bloom Dynamics Using Local Hyperspectral Imaging

水网络：使用地面和水下高光谱图像观察和预测营养藻类动态托马斯·C·哈蒙和清华郭氏工程学院，加州大学，梅赛德斯分校该奖项由2009年美国复苏和再投资法案(公法111-5)资助。摘要-与初级生产相关的问题包括富营养化、缺氧和有害的藻华，所有这些都会对临界区的人类健康和生态系统服务产生负面影响。拟议的研究将探索在水质观测领域扩大使用一种常用的遥感工具--高光谱成像(HSI)。当在空中和地面部署HSI时，已被证明是非常宝贵的，用于对植被类型和其他属性进行非侵入性分类，并在较小但重要的程度上用于绘制湖泊、相对较大的河流、河口和沿海水体的水质属性(例如，叶绿素、悬浮固体、溶解有机物)。HSI在水下的应用尚未得到证实，但最近的证据表明，HSI有可能揭示大量化学物质的复杂时空模式，包括对许多水生生态系统至关重要的氮和磷物种。拟议工作的主要目标是测试一种战略，以将高光谱成像(HSI)的应用扩展到水生系统中一系列耦合的物理、化学和生物过程。这项工作将强调使用地面和水下(而不是空中)人类安全倡议。实验将从实验室开始，并扩展到圣华金河谷和塞拉利昂南部临界区观测站的水库和溪流。该方法不仅将为多个水质参数的同时测绘提供强大的非侵入性和实时传感器，而且这项工作的结果将为范围广泛的大型观测站提供变革性的传感器，如CZO、霓虹灯和拟议的Waters Network努力。

WATERS Network: Observing and Predicting Nutrient-Algae Dynamics Using Ground-Based and Underwater Hyperspectral ImagingThomas C. Harmon and Qinghua GuoSchool of Engineering, University of California, MercedThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). ABSTRACT - Problems associated with primary production include eutrophication, hypoxia and harmful algal blooms, all of which can negatively impact human health and ecosystem services in the critical zone. The proposed research will explore expanded use of a commonly implemented remote sensing tool, hyperspectral imaging (HSI), in the realm of water quality observation. HSI has proven invaluable when deployed both aerially and on-the-ground for noninvasively classifying vegetative type and other properties and, to a lesser yet significant extent, for mapping water quality properties (e.g., chlorophyll, suspended solids, dissolved organic matter) in lakes, relatively large rivers, estuaries and coastal water bodies. Underwater application of HSI is as yet unproven, but recent evidence points to the potential of HSI to reveal complex spatiotemporal patterns of a vast array of chemicals, including nitrogen and phosphorous species critical to many aquatic ecosystems. The main objective of the proposed work is to test a strategy for expanding the application of hyperspectral imaging (HSI) to a broad array of coupled physical, chemical, and biological processes in aquatic systems. The work will emphasize the use of ground-based and underwater (as opposed to airborne) HSI. Experiments will begin in the laboratory, and extend to reservoirs and streams in the San Joaquin Valley and the Southern Sierra Critical Zone Observatory. The approach will not only provide a powerful noninvasive and real-time sensor for the simultaneous mapping of multiple water quality parameters, but the results of this work will provide a transformative sensor for the broad range of large scale observatories, such as the CZO, NEON, and proposed WATERS Network efforts.