Paper
8 October 2014 Retrieval of phycocyanin concentration in the eutrophic Taihu Lake
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Abstract
Phycocyanin (PC) in the blue-green algae is usually used to detect the quantity of the blue-green algae, and it has a special absorption at 620nm waveband. Taihu Lake has become severely turbid and eutrophic in recent years. However, the accuracy of empirical models varies highly. Therefore, it is very useful to find a model which can retrieve PC concentration in a good accuracy. In this work, four models (i.e. single band model, the radio model, the first-derivative model, the three-band model and empirical ratio model) were developed based on remote sending reflectance and measured PC concentration in Taihu Lake in May, 2010 to retrieve PC concentration and then to find out which one is the best. The results show that the 2nd order polynomial models generally had a better performance than the line models. The three-band model was the most optimal model because it had the highest values of R2 and the lowest values of RMSE.
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Jing Wang, Runhe Shi, and Wei Gao "Retrieval of phycocyanin concentration in the eutrophic Taihu Lake", Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 92210Z (8 October 2014); https://doi.org/10.1117/12.2061208
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Reflectivity

Remote sensing

Absorption

Solid modeling

Performance modeling

Mathematical modeling

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