2017
DOI: 10.1016/j.ecolind.2017.06.027
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Developing a two-step method for retrieving cyanobacteria abundance from inland eutrophic lakes using MERIS data

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Cited by 16 publications
(2 citation statements)
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“…Early iterations of the CI-cyano algorithm have been used for assessing cyanobacterial blooms in Lake Balaton, Hungary ( Palmer et al, 2015 ), and the Caspian Sea ( Moradi, 2014 ). Jin et al (2017) leveraged the cyanobacteria index first defined in Wynne et al (2008) to assess cyanobacteria presence and absence at Lakes Taihu and Chaohu in China. Other spectral index algorithms have been used to derive chlorophyll or cyanobacterial biomass based on reflectances in the red through near-infrared portions of the electromagnetic spectrum, such as the Maximum Peak Height (MPH) algorithm developed using imagery from ESA’s MEdium Resolution Imaging Spectrometer (MERIS) for four African study sites ( Matthews et al, 2012 ; Matthews and Odermatt, 2015 ); the Maximum Chlorophyll Index (MCI) also developed using MERIS imagery but in waters surrounding Vancouver Island in Canada ( Gower et al, 2005 ); and the Floating Algae Index (FAI) developed using imagery from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) in the western Yellow Sea near Qingdao, China ( Hu, 2009 ).…”
Section: Methodsmentioning
confidence: 99%
“…Early iterations of the CI-cyano algorithm have been used for assessing cyanobacterial blooms in Lake Balaton, Hungary ( Palmer et al, 2015 ), and the Caspian Sea ( Moradi, 2014 ). Jin et al (2017) leveraged the cyanobacteria index first defined in Wynne et al (2008) to assess cyanobacteria presence and absence at Lakes Taihu and Chaohu in China. Other spectral index algorithms have been used to derive chlorophyll or cyanobacterial biomass based on reflectances in the red through near-infrared portions of the electromagnetic spectrum, such as the Maximum Peak Height (MPH) algorithm developed using imagery from ESA’s MEdium Resolution Imaging Spectrometer (MERIS) for four African study sites ( Matthews et al, 2012 ; Matthews and Odermatt, 2015 ); the Maximum Chlorophyll Index (MCI) also developed using MERIS imagery but in waters surrounding Vancouver Island in Canada ( Gower et al, 2005 ); and the Floating Algae Index (FAI) developed using imagery from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) in the western Yellow Sea near Qingdao, China ( Hu, 2009 ).…”
Section: Methodsmentioning
confidence: 99%
“…The common counting unit for the most algae with unicellular is the cell, and the counting unit for colonial or filamentous algae should be N/mL or N/L. Each sample should be counted twice, the difference between each count and the average of the two counts should not be greater than ±15% [37]. The volume of individual taxa algal species was estimated by applying equivalent geometric shapes to cell forms by direct measurement of the cell dimensions, and then converting the results to algal biomass or biovolume (fresh weight) assuming the specific weight of every planktonic alga to be 1.0 g/mL [17,34,36,[38][39][40][41][42][43][44].…”
Section: Sampling Of Planktic Algae Epipelic Algae and Microscopic Examinationmentioning
confidence: 99%