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Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges
Shi, Kun1,2,3; Zhang, Yunlin1,2; Qin, Boqiang1,2; Zhou, Botian4
2019-10-30
摘要Timely monitoring, detection and quantification of cyanobacterial blooms are especially important for controlling public health risks and understanding aquatic ecosystem dynamics. Due to the advantages of simultaneous data acquisition over large geographical areas and high temporal coverage, remote sensing strongly facilitates cyanobacterial bloom monitoring in inland waters. We provide a comprehensive review regarding cyanobacterial bloom remote sensing in inland waters including cyanobacterial optical characteristics, operational remote sensing algorithms of chlorophyll, phycocyanin and cyanobacterial bloom areas, and satellite imaging applications. We conclude that there have many significant progresses in the remote sensing algorithm of cyanobacterial pigments over the past 30 years. The band ratio algorithms in the red and near-infrared (NIR) spectral regions have great potential for the remote estimation of chlorophyll a in eutrophic and hypereutrophic inland waters, and the floating algae index (FAI) is the most widely used spectral index for detecting dense cyanobacterial blooms. Landsat, MODIS (Moderate Resolution Imaging Spectroradiometer) and MERIS (MEdium Resolution Imaging Spectrometer) are the most widely used products for monitoring the spatial and temporal dynamics of cyanobacteria in inland waters due to the appropriate temporal, spatial and spectral resolutions. Future work should primarily focus on the development of universal algorithms, remote retrievals of cyanobacterial blooms in olig-otrophic waters, and the algorithm applicability to mapping phycocyanin at a large spatial-temporal scale. The applications of satellite images will greatly improve our understanding of the driving mechanism of cyanobacterial blooms by combining numerical and ecosystem dynamics models. (C) 2019 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
关键词Cyanobacterial blooms Inland waters Bio-optical properties Satellite MODIS
DOI10.1016/j.scib.2019.07.002
发表期刊SCIENCE BULLETIN
ISSN2095-9273
卷号64期号:20页码:1540-1556
通讯作者Zhang, Yunlin(ylzhang@niglas.ac.cn)
收录类别SCI
WOS记录号WOS:000493351100015
语种英语