An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing
An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing
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DOI：
10.1016/j.rse.2010.09.004
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发表时间：
2011-02-15
影响因子：
13.5
通讯作者：
Gentili, Bernard
中科院分区：
文献类型：
--
作者：
Brewin, Robert J. W.;Hardman-Mountford, Nick J.;Gentili, Bernard
海洋颜色卫星遥感是目前可用于大范围测量海洋生态系统特性（例如浮游植物叶绿素生物量）的唯一方法。最近，已经建立了多种生物光学和生态方法，使用卫星数据来识别和区分浮游植物功能类型（PFT）或浮游植物大小类别（PSC）。在这项研究中，根据现场观察对其中几种技术进行了评估，以确定它们检测主要浮游植物尺寸类别（微米、纳米和超微型浮游植物）的能力。该技术应用于 SeaWiFS 卫星传感器的 10 年海洋颜色数据系列，并与全球海洋各个地点的现场数据（6504 个样本）进行比较。结果表明，光谱响应、生态和丰度方法都可以达到相似的精度。微型浮游生物和超微型浮游生物的检测通常优于纳米浮游生物的检测。基于丰度的方法被证明可以提供更好的 PSC 空间检索。各个模型的性能因 PSC、输入卫星数据源和现场验证数据类型而异。考虑了比较程序和数据来源的不确定性。提高现场观测的可用性将有助于该领域正在进行的研究。 (C) 2010 Elsevier Inc. 保留所有权利。
Satellite remote sensing of ocean colour is the only method currently available for synoptically measuring wide-area properties of ocean ecosystems, such as phytoplankton chlorophyll biomass. Recently, a variety of bio-optical and ecological methods have been established that use satellite data to identify and differentiate between either phytoplankton functional types (PFTs) or phytoplankton size classes (PSCs). In this study, several of these techniques were evaluated against in situ observations to determine their ability to detect dominant phytoplankton size classes (micro-, nano- and picoplankton). The techniques are applied to a 10-year ocean-colour data series from the SeaWiFS satellite sensor and compared with in situ data (6504 samples) from a variety of locations in the global ocean. Results show that spectral-response, ecological and abundance-based approaches can all perform with similar accuracy. Detection of microplankton and picoplankton were generally better than detection of nanoplankton. Abundance-based approaches were shown to provide better spatial retrieval of PSCs. Individual model performance varied according to PSC, input satellite data sources and in situ validation data types. Uncertainty in the comparison procedure and data sources was considered. Improved availability of in situ observations would aid ongoing research in this field. (C) 2010 Elsevier Inc. All rights reserved.