Phycocyanin concentration retrieval in inland waters: A comparative review of the remote sensing techniques and algorithms

被引:39
作者
Yan, Yaner [1 ]
Bao, Zhongjue [2 ]
Shao, Jingan [3 ]
机构
[1] Huaiyin Normal Univ, Key Lab Ecoagr Biotechnol Hongze Lake, Lake Collaborat Innovat Ctr Reg Modem Agr & Envir, Huaian 223300, Peoples R China
[2] Huaiyin Normal Univ, Sch Foreign Languages, Huaian 223300, Peoples R China
[3] Chongqing Normal Univ, Sch Geog & Tourism, Chongqing 400047, Peoples R China
关键词
Phycocyanin; Cyanobacteria; Monitoring; Remote sensing; MAPPING CYANOBACTERIAL BLOOMS; INHERENT OPTICAL-PROPERTIES; QUASI-ANALYTICAL ALGORITHM; TURBID PRODUCTIVE WATERS; DISSOLVED ORGANIC-MATTER; CHLOROPHYLL-A; OCEAN COLOR; ABSORPTION-COEFFICIENT; PIGMENT CONCENTRATION; EUTROPHIC LAKES;
D O I
10.1016/j.jglr.2018.05.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Phycocyanin (PC), as a characteristic pigment, is more suitable for monitoring cyanobacterial blooms and toxic cyanobacteria than chlorophyll-a (Chl-a). Because the absorption peak of PC is about-620 nm, the application of remote sensing using a wavelength range of 615-630 nm becomes very attractive for the implementation of PC-targeted inversion algorithms. Numerous researchers have applied empirical and semi-analytical algorithms to derive PC concentration as proxies for cyanobacterial blooms. However, in contrast to Chl-a, the remote sensing estimation of PC concentration at the larger scale is still limited by the scarcity of data with sufficient spatial and spectral resolution. Therefore, this review attempts to provide a comprehensive overview of remote sensing techniques and retrieval algorithms as applied to the PC monitoring. The main emphasis is on the PC inversion algorithms and their realization via the available and perspective remote sensors. Based on the above analysis of state-of-the-art techniques and algorithms, the overall challenges and potentials of remote sensing-based cyanobacterial PC pigment retrieval are discussed in detail. (C) 2018 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:748 / 755
页数:8
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