Testing the spectral decomposition algorithm (SDA) for different phytoplankton species by a simulation based on tank experiments
Testing the spectral decomposition algorithm (SDA) for different phytoplankton species by a simulation based on tank experiments
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DOI：
10.1080/01431160903475365
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发表时间：
2010-02
影响因子：
3.4
通讯作者：
Y. Oyama;B. Matsushita;T. Fukushima;Jin Chen;T. Nagai;A. Imai
中科院分区：
文献类型：
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作者：
Y. Oyama;B. Matsushita;T. Fukushima;Jin Chen;T. Nagai;A. Imai
光谱分解算法（SDA）是利用卫星数据同时估算Case 2水体中叶绿素-a （Chl-a）和非浮游植物悬浮固体（NPSS）浓度的一种新方法。本研究利用2004年9月至2005年8月（除2005年4月外）采集的5种浮游植物（3种蓝藻、1种绿藻和1种硅藻）和Kasumigaura湖的湖水样品，通过水池实验研究了浮游植物组成对SDA的影响。结果表明，基于sda的模型（基于培养的模型）对所有浮游植物种类的Chl-a和NPSS的估计精度较高（Chl-a的均方根误差[RMSE]约为16.2 μg l−1，NPSS的均方根误差约为11.0 mg l−1）。然而，Landsat Thematic Mapper （TM）波段组合给出的Chl-a和NPSS估计的RMSE最小，在不同物种之间存在差异。此外，如果能够确定水体中端元的最佳标准反射光谱（SRS），则基于培养的模型可以应用于湖泊水样，具有相似的精度。这意味着基于sda的模型具有以下潜力：(1)与传统的经验方法（单波段、波段比和算术波段计算）相比，它的地点和时间特异性较低；(2)可通过罐体实验或生物光学模型模拟提出。
The spectral decomposition algorithm (SDA), which is a new approach for the simultaneous estimation of chlorophyll-a (Chl-a) and non-phytoplankton suspended solid (NPSS) concentrations in Case 2 waters using satellite data, was proposed by our previous study. Here, we investigated the effect of phytoplankton composition on the SDA based on the tank experiments using cultured samples for five phytoplankton species (three cyanobacteria, one green algae and one diatom) and lake water samples collected from Lake Kasumigaura from September 2004 to August 2005 except for April 2005. The results showed that the SDA-based models obtained from the cultured samples (culture-based models) showed high accuracies for Chl-a and NPSS estimations in all phytoplankton species (root mean square error [RMSE] about 16.2 μg l − 1 for Chl-a and about 11.0 mg l − 1 for NPSS). However, the Landsat Thematic Mapper (TM) band combinations, which gave the smallest RMSE of the Chl-a and NPSS estimations, differed among the species. In addition, the culture-based models could apply to lake water samples with similar accuracies if the optimal standard reflectance spectra (SRS) of end-members in the water body could be determined. This implies the potential of the SDA-based model as follows: (1) it is less site- and time-specific compared with conventional empirical methods (single band, band ratio, and arithmetic band calculation); (2) it can be proposed by a tank experiment or by a simulation using bio-optical modelling.