文章基本信息

标题：A novel remote sensing algorithm to quantify phycocyanin in cyanobacterial algal blooms
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作者：S Mishra ; D R Mishra
期刊名称：Environmental Research Letters
印刷版ISSN：1748-9326
电子版ISSN：1748-9326
出版年度：2014
卷号：9
期号：11
页码：114003
DOI：10.1088/1748-9326/9/11/114003
语种：English
出版社：IOP Publishing Ltd
摘要：We present a novel three-band algorithm (PC₃) to retrieve phycocyanin (PC) pigment concentration in cyanobacteria laden inland waters. The water sample and remote sensing reflectance data used for PC₃ calibration and validation were acquired from highly turbid productive catfish aquaculture ponds. Since the characteristic PC absorption feature at 620 nm is contaminated with residual chlorophyll-a (Chl-a) absorption, we propose a coefficient (ψ) for isolating the PC absorption component at 620 nm. Results show that inclusion of the model coefficient relating Chl-a absorption at 620 nm–665 nm enables PC₃ to compensate for the confounding effect of Chl-a at the PC absorption band and considerably increases the accuracy of the PC prediction algorithm. In the current dataset, PC₃ produced the lowest mean relative error of prediction among all PC algorithms considered in this research. Moreover, PC₃ eliminates the nonlinear sensitivity issue of PC algorithms particularly at high PC range (>100 μg L⁻¹). Therefore, introduction of PC₃ will have an immediate positive impact on studies monitoring inland and coastal cyanobacterial harmful algal blooms.