An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application
An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application
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内陆水域固有光学特性反演模型的建立、验证与应用
DOI：
10.1016/j.rse.2013.03.031
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发表时间：
2013-08
影响因子：
13.5
通讯作者：
Zuchuan Li
中科院分区：
文献类型：
--
作者：
Yunmei;LiLenore P.Tedesco;Kun Shi;Zuchuan Li
天然水体的固有光学性质是影响光在水体中传播的最重要因素，因此在水生生物量、初级生产力和碳库的估算中起着不可或缺的作用。尽管IOPS很重要，但没有专门为内陆水体开发的IOPS反演模型，尽管在海洋反演模型方面做出了大量努力。此外，对于内陆水域，相对于经验和一些半经验算法，基于IOPS的模型通常更适合于估计叶绿素a(Chl-a)浓度，这是IOPS的应用。因此，建立IOPS和Chl-a估算模型，对于了解富营养化水库、湖泊和河口藻类水华的生物光学特性和发生规律具有重要意义。本文提出并验证了用于推算天然水IOPS和估算Chl-a的内陆水域IOPS反演模型(IIMIW)。结果表明，该模型可以准确地反演印第安纳州研究点在443 nm和665 nm处的吸收系数，其R2分别为0.8347和0.7550，并能以较高的精度(R2=0.9292，平均相对误差21.65%)从全球8个不同研究点和不同季节的样品中估算Chl-a。该模型还被应用于机载成像光谱仪(AISA)图像，以映射IOPS和Chl-a。通过现场测量Chl-a的验证，结果直接表明IIMIW即使使用AISA波段也能很好地预报Chl-a，同时也间接证明了非水吸收系数的准确反演，至少在红外区和近红外区是准确的。进一步的生物地球化学信息也可以从这些地图中得到。这些有希望的测绘结果揭示了对内陆水域生物光学状态进行远程常规监测的可能性。
The inherent optical properties (IOPs) of natural waters are the most significant factors affecting light propagation within water columns, and thus play indispensable roles on estimation of aquatic biomass, primary production, and carbon pools. Despite its importance, no IOPs retrieval model was specifically developed for inland water bodies, although significant efforts were made on oceanic inversion models. In addition, for inland waters, an IOPs-based model is often preferred for estimating chlorophyll-a (Chl-a) concentration, an application of IOPs, over empirical and some semi-empirical algorithms. Then developing a model for estimating both IOPs and Chl-a is of significance for understanding the bio-optical properties and occurrence of algal blooms in eutrophic reservoirs, lakes and estuaries. In this paper, an IOPs Inversion Model of Inland Waters (IIMIW) for deriving natural water IOPs and estimating Chl-a is proposed and validated. The results indicate that this model can be used to accurately retrieve absorption coefficients at 443nm and 665nm with R2=0.8347 and R2=0.7550 respectively for Indiana study sites, and to estimate Chl-a from the derived absorption coefficients at high accuracies (R2=0.9292 and a mean relative error 21.65%) with samples collected from eight different study sites in the world and in different seasons. The model was also applied on Airborne Imaging Spectrometer for Application (AISA) images to map IOPs and Chl-a. Through validation by in situ measured Chl-a, results directly show that IIMIW can predict Chl-a with good accuracy even using the AISA bands, to as well indirectly prove that non-water absorption coefficients are retrieved accurately, at least within red and near-infrared region. Further biogeochemical information can be derived from these maps as well. These promising mapping results reveal possible remote routine surveillance of bio-optical states of inland waters.
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影响因子：
1.7
作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
通讯作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
中国太湖梅梁湾高浑浊富营养化水体准解析算法的验证
影响因子：
8.2
作者：
Cheng Feng Le;Yong Zha;Yun Mei Li;Deyong Sun;Bin Yin
通讯作者：
Bin Yin
影响因子：
3.6
作者：
Morel, A;Maritorena, S
通讯作者：
Maritorena, S
DOI：
10.11867/j.issn.1001-8166.2009.02.0150
发表时间：
2009-02
期刊：
Advances in Earth Science
影响因子：
--
作者：
Zhou Guanhua;Tian Guoliang;L. Qinhuo;Li Jing;Tang Junwu
通讯作者：
Zhou Guanhua;Tian Guoliang;L. Qinhuo;Li Jing;Tang Junwu
影响因子：
1.9
作者：
F. Hoge;C. W. Wright;P. Lyon;R. Swift;J. Yungel
通讯作者：
F. Hoge;C. W. Wright;P. Lyon;R. Swift;J. Yungel