@article{jephh2015333,
author={{Lee, Jiyoung and Tseng, Kuo-Hsin and Zhang, Feng and Lee, Cheonghoon and Marion, Jason and Liang, Song and Shum, C.K.},
title={From Satellite to Genes: An Integrative Approach for Timely Monitoring of Harmful Cyanobacteria in Lake Erie Beach Water},
journal={Journal of Environment Pollution and Human Health},
volume={3},
number={3},
pages={70--79},
year={2015},
url={http://pubs.sciepub.com/jephh/3/3/3},
issn={2334-3494},
abstract={An integrated approach for quantifying cyanotoxins was investigated using satellite remote sensing with molecular and chemical tools in Lake Erie. Remotely sensed satellite-based water color measurements with Medium Resolution Imaging Spectrometer (MERIS) were compared with <i>in situ </i>measurements of cyanobacteria pigments, <i>M. aeruginosa</i> populations (total and microcystin-producing subpopulation), and microcystin (MC) concentrations. Water samples were collected from a popular Headlands Beach in Lake Erie during the summer of 2010. The quantitative anomaly of cyanobacterial blooms between the two phycocyanin (PC) measurements demonstrated a good correlation (MERIS vs. <i>in situ</i>, r=0.84). PC was a better harmful cyanobacteria indicator than chlorophyll-<i>a</i> and correlated significantly with <i>M. aeruginosa</i><i> </i>population (P&lt;0.05). MC was detected in 33.8% of the samples and temporal pattern demonstrated that spikes of <i>mcyA </i>and PC occurred prior to MC peaks. Successful analysis within the 1 km nearshore region was another remarkable finding, which may be applicable for smaller water bodies.},
doi={10.12691/jephh-3-3-3}
publisher={Science and Education Publishing}
}