Evaluation of cyanobacteria cell count detection derived from MERIS imagery across the eastern USA

Inland waters across the United States (US) are at potential risk for increased outbreaks of toxic cyanobacteria blooms events resulting from elevated water temperatures and extreme hydrologic events attributable to climate change and increased nutrient loadings associated with intensive agricultura...

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Vydáno v:	Remote sensing of environment Ročník 157; s. 24 - 34
Hlavní autoři:	Lunetta, Ross S., Schaeffer, Blake A., Stumpf, Richard P., Keith, Darryl, Jacobs, Scott A., Murphy, Mark S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.02.2015
Témata:	absorption Algorithm validation Algorithms climate change Counting Cyanobacteria Cyanobacteria monitoring Eastern United States Estimates European Space Agency Freshwater Harmful algal blooms image analysis Lakes MERIS Monitoring Monitors phycocyanin phytoplankton pollution load remote sensing risk Sentinel-3 spectrometers toxicity Water quality water temperature USA Eastern United States MERIS Harmful algal blooms Algorithm validation Sentinel-3 Cyanobacteria monitoring Water quality
ISSN:	0034-4257, 1879-0704
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Abstract	Inland waters across the United States (US) are at potential risk for increased outbreaks of toxic cyanobacteria blooms events resulting from elevated water temperatures and extreme hydrologic events attributable to climate change and increased nutrient loadings associated with intensive agricultural practices. Current monitoring efforts are limited in scope due to resource limitations, analytical complexity, and data integration efforts. The goals of this study were to validate an algorithm for satellite imagery that could potentially be used to monitor surface cyanobacteria events in near real-time to provide a compressive monitoring capability for freshwater lakes (>100ha). The algorithm incorporated narrow spectral bands specific to the European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) instrument that were optimally oriented at phytoplankton pigment absorption features including phycocyanin at 620nm. A validation of derived cyanobacteria cell counts was performed using available in situ data assembled from existing monitoring programs across eight states in the eastern US over a 39-month period (2009–2012). Results indicated that MERIS provided robust estimates for low (10,000–109,000 cells/mL) and very high (>1,000,000 cells/mL) cell enumeration ranges (approximately 90% and 83%, respectively). However, the results for two intermediate ranges (110,000–299,000 and 300,000–1,000,000 cells/mL) were substandard, at approximately 28% and 40%, respectively. The confusion associated with intermediate cyanobacteria cell count ranges was largely attributed to the lack of available taxonomic data and distinction of natural counting units for the in situ measurements that would have facilitated conversions between cell counts and cell volumes. The results of this study document the potential for using MERIS-derived cyanobacteria cell count estimates to monitor freshwater lakes (>100ha) across the eastern US. •The goal of our research was to evaluate a MERIS-derived cyanobacteria product.•A reference database was assembled using existing monitoring programs.•Approximately 2068 in situ measurement observations were used for evaluation efforts.•Results support the development of an operational cyanobacteria monitoring capability.•The Sentinel-3 Ocean and Land Colour Instrument (OLCI) will provide an enhanced capability.
AbstractList	Inland waters across the United States (US) are at potential risk for increased outbreaks of toxic cyanobacteria blooms events resulting from elevated water temperatures and extreme hydrologic events attributable to climate change and increased nutrient loadings associated with intensive agricultural practices. Current monitoring efforts are limited in scope due to resource limitations, analytical complexity, and data integration efforts. The goals of this study were to validate an algorithm for satellite imagery that could potentially be used to monitor surface cyanobacteria events in near real-time to provide a compressive monitoring capability for freshwater lakes (>100ha). The algorithm incorporated narrow spectral bands specific to the European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) instrument that were optimally oriented at phytoplankton pigment absorption features including phycocyanin at 620nm. A validation of derived cyanobacteria cell counts was performed using available in situ data assembled from existing monitoring programs across eight states in the eastern US over a 39-month period (2009–2012). Results indicated that MERIS provided robust estimates for low (10,000–109,000 cells/mL) and very high (>1,000,000 cells/mL) cell enumeration ranges (approximately 90% and 83%, respectively). However, the results for two intermediate ranges (110,000–299,000 and 300,000–1,000,000 cells/mL) were substandard, at approximately 28% and 40%, respectively. The confusion associated with intermediate cyanobacteria cell count ranges was largely attributed to the lack of available taxonomic data and distinction of natural counting units for the in situ measurements that would have facilitated conversions between cell counts and cell volumes. The results of this study document the potential for using MERIS-derived cyanobacteria cell count estimates to monitor freshwater lakes (>100ha) across the eastern US. •The goal of our research was to evaluate a MERIS-derived cyanobacteria product.•A reference database was assembled using existing monitoring programs.•Approximately 2068 in situ measurement observations were used for evaluation efforts.•Results support the development of an operational cyanobacteria monitoring capability.•The Sentinel-3 Ocean and Land Colour Instrument (OLCI) will provide an enhanced capability. Inland waters across the United States (US) are at potential risk for increased outbreaks of toxic cyanobacteria blooms events resulting from elevated water temperatures and extreme hydrologic events attributable to climate change and increased nutrient loadings associated with intensive agricultural practices. Current monitoring efforts are limited in scope due to resource limitations, analytical complexity, and data integration efforts. The goals of this study were to validate an algorithm for satellite imagery that could potentially be used to monitor surface cyanobacteria events in near real-time to provide a compressive monitoring capability for freshwater lakes (>100ha). The algorithm incorporated narrow spectral bands specific to the European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) instrument that were optimally oriented at phytoplankton pigment absorption features including phycocyanin at 620nm. A validation of derived cyanobacteria cell counts was performed using available in situ data assembled from existing monitoring programs across eight states in the eastern US over a 39-month period (2009-2012). Results indicated that MERIS provided robust estimates for low (10,000-109,000 cells/mL) and very high (>1,000,000 cells/mL) cell enumeration ranges (approximately 90% and 83%, respectively). However, the results for two intermediate ranges (110,000-299,000 and 300,000-1,000,000 cells/mL) were substandard, at approximately 28% and 40%, respectively. The confusion associated with intermediate cyanobacteria cell count ranges was largely attributed to the lack of available taxonomic data and distinction of natural counting units for the in situ measurements that would have facilitated conversions between cell counts and cell volumes. The results of this study document the potential for using MERIS-derived cyanobacteria cell count estimates to monitor freshwater lakes (>100ha) across the eastern US.
Author	Murphy, Mark S. Lunetta, Ross S. Schaeffer, Blake A. Keith, Darryl Stumpf, Richard P. Jacobs, Scott A.
Author_xml	– sequence: 1 givenname: Ross S. surname: Lunetta fullname: Lunetta, Ross S. organization: US EPA National Exposure Research Laboratory, 109 T. W. Alexander Drive, Mail Code: E243-05, Research Triangle Park, NC 27709, United States – sequence: 2 givenname: Blake A. surname: Schaeffer fullname: Schaeffer, Blake A. email: schaeffer.blake@epa.gov organization: US EPA National Health and Environmental Effects Research Laboratory, Gulf Ecology Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, United States – sequence: 3 givenname: Richard P. surname: Stumpf fullname: Stumpf, Richard P. organization: NOAA National Oceans Service, Center for Coastal Monitoring and Assessment, 1305 East West Highway, Silver Springs, MD 20910, United States – sequence: 4 givenname: Darryl surname: Keith fullname: Keith, Darryl organization: US EPA National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, 27 Tarzwell Drive, Narragansett, RI 02882, United States – sequence: 5 givenname: Scott A. surname: Jacobs fullname: Jacobs, Scott A. organization: US EPA National Risk Management Research Laboratory, Land Remediation and Pollution Control Division, 26 Martin Luther King Drive, Cincinnati, OH 45268, United States – sequence: 6 givenname: Mark S. surname: Murphy fullname: Murphy, Mark S. organization: Innovatel, Incorporated. 2800 Meridian Parkway, Durham, NC 27713, United States
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Cites_doi	10.3354/meps06943 10.1016/j.toxicon.2009.07.021 10.1016/j.rse.2010.04.013 10.1080/109374000436364 10.1080/07438140509354447 10.1016/j.rse.2012.05.032 10.1080/01431160802178110 10.1007/s10661-010-1831-7 10.1016/j.jag.2009.11.005 10.1016/j.ecss.2007.02.015 10.1364/OE.18.000401 10.1080/01431160802007640 10.1016/j.watres.2011.08.002 10.4319/lo.2005.50.1.0237 10.1016/j.rse.2010.06.006 10.5697/oc.52-2.237 10.1016/j.jglr.2012.10.003 10.1016/j.rse.2009.05.012 10.1016/j.watres.2004.08.004 10.1371/journal.pone.0042444 10.1080/01431160802562305 10.1016/j.rse.2003.10.014 10.4319/lo.2001.46.2.0213 10.1016/0034-4257(91)90048-B 10.4319/lo.1997.42.5_part_2.1132 10.1016/j.rse.2007.11.019 10.1080/07438140209353926 10.1016/j.rse.2011.08.004 10.1016/j.jglr.2009.05.007 10.1080/01431161.2013.823524 10.1016/j.rse.2012.08.011 10.1016/j.rse.2011.07.024 10.1126/science.1155398 10.1021/es801217q 10.4319/lo.2010.55.5.2025 10.1109/36.79425 10.1093/plankt/fbq133
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(bb0075) 2011 Binding, Greenberg, Jerome, Bukata, Letourneau (bb0030) 2011; 33 Paerl, Huisman (bb0185) 2008; 320 Riedinger-Whitmore, Whitmore, Smoak, Brenner, Moore, Curtis, Schelske (bb0200) 2005; 21 Backer (bb0015) 2002; 18 USEPA (United States Environmental Protection Agency) (bb0250) 2007 USEPA (United States Environmental Protection Agency) (bb0260) 2009 Chorus, Salas, Bartram (bb0040) 2000; 3 Hudnell (bb0110) 2010; 55 Duan, Ma, Hu (bb0070) 2012; 126 Becker, Sultan, Boyer, Twiss, Konopko (bb0020) 2009; 35 USEPA (United States Environmental Protection Agency) (bb0270) 2013 Kutser (bb0125) 2009; 30 Graham, Loftin, Kamman (bb0100) 2009 Schaeffer, Schaeffer, Keith, Lunetta, Conmy, Gould (bb0210) 2013; 34 Congalton (bb0050) 1991; 37 Chorus, Bartram (bb0045) 1999 Paerl, Paul (bb0190) 2012; 46 Dodds, Bouska, Eitzmann, Pilger, Pitts, Riley, Schloesser, Thornbrugh (bb0060) 2009; 43 Wynne, Stumpf, Tomlinson, Fahnenstiel, Dybleb, Schwab, Joseph-Joshi (bb0300) 2013 Beskenis (bb0025) 2014 Donlon (bb0065) 2012; 120 Wynne, Stumpf, Tomlinson, Dybleb (bb0295) 2010; 55 Abbott, Landsberg, Reich, Steidinger, Ketchen, Blackmore (bb0005) 2009 Wynne, Tomlinson, Warner, Tester, Dyble, Fahnensteil (bb0305) 2008; 29 NRC (National Research Council) (bb0170) 2012 Stumpf, Werdell (bb0240) 2010; 18 Dash, Walker, Mishra, Hu, Pinckney, D'Sa (bb0055) 2011; 115 Watzin, Fuller, Bronson, Gorney, Schuster (bb0290) 2011 Ruiz-Verdú, Simis, Hoyos, Gons, Peña-Martínez (bb0205) 2008; 112 Alikas, Kangro, Reinart (bb0010) 2010; 52 MEMH (Ministry for the Environment and Ministry of Health) (bb0140) 2009 Simis, Peters, Gons (bb0220) 2005; 50 Stewart, Webb, Schluter, Shaw (bb0235) 2006; 5:6 Paerl (bb0180) 2008; 619 USEPA (United States Environmental Protection Agency) (bb0255) 2007 Budd, Drummer, Nalepa, Fahnenstiel (bb0035) 2001; 46 Fristachi, Sinclair (bb0080) 2008; 619 NH Department of Environmental Services (bb0165) 2005 USEPA (United States Environmental Protection Agency) (bb0265) 2011 USEPA (United States Environmental Protection Agency) (bb0275) 2013 VT Department of Environmental Conservation (bb0285) 2014 Soranno (bb0230) 1997; 54 Gower, King, Goncalves (bb0090) 2008; 29 Matthews, Bernard, Robertson (bb0145) 2012; 124 Graham, Jones, Jones, Downing, Clevenger (bb0095) 2004; 38 Smayda (bb0225) 1997; 42 Lunetta, Iiames, Knight, Congalton, Mace (bb0130) 2001; 67 Ohio EPA (bb0175) 2012 Seppälä, Ylostalo, Kaitala, Hallfors, Raateoja, Maunual (bb0215) 2007; 73 Kahru, Savchuk, Elmgren (bb0120) 2007; 343 NH Department of Environmental Services (bb0160) 2005 Lunetta, Shao, Ediriwickrema, Lyon (bb0135) 2010; 12 Michalak (bb0155) 2013 Vincent, Qin, Mckay, Miner (bb0280) 2004; 89 Hu (bb0105) 2009; 113 Matthews, Bernard, Winter (bb0150) 2010; 114 Hunter, Tyler, Carvalho, Codd, Maberly (bb0115) 2010; 114 Philpot (bb0195) 1991; 29 Gómez, Alonso, García (bb0085) 2011; 181 Stumpf, Wynne, Baker, Fahenstiel (bb0245) 2012; 7 Duan (10.1016/j.rse.2014.06.008_bb0070) 2012; 126 Stumpf (10.1016/j.rse.2014.06.008_bb0240) 2010; 18 Alikas (10.1016/j.rse.2014.06.008_bb0010) 2010; 52 Becker (10.1016/j.rse.2014.06.008_bb0020) 2009; 35 Graham (10.1016/j.rse.2014.06.008_bb0100) 2009 NRC (National Research Council) (10.1016/j.rse.2014.06.008_bb0170) 2012 Kahru (10.1016/j.rse.2014.06.008_bb0120) 2007; 343 Kutser (10.1016/j.rse.2014.06.008_bb0125) 2009; 30 Budd (10.1016/j.rse.2014.06.008_bb0035) 2001; 46 NH Department of Environmental Services (10.1016/j.rse.2014.06.008_bb0165) 2005 Watzin (10.1016/j.rse.2014.06.008_bb0290) 2011 Wynne (10.1016/j.rse.2014.06.008_bb0295) 2010; 55 Hudnell (10.1016/j.rse.2014.06.008_bb0110) 2010; 55 Paerl (10.1016/j.rse.2014.06.008_bb0190) 2012; 46 Soranno (10.1016/j.rse.2014.06.008_bb0230) 1997; 54 Beskenis (10.1016/j.rse.2014.06.008_bb0025) 2014 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0250) 2007 Wynne (10.1016/j.rse.2014.06.008_bb0300) 2013 Fristachi (10.1016/j.rse.2014.06.008_bb0080) 2008; 619 Philpot (10.1016/j.rse.2014.06.008_bb0195) 1991; 29 Stewart (10.1016/j.rse.2014.06.008_bb0235) 2006; 5:6 Chorus (10.1016/j.rse.2014.06.008_bb0045) 1999 Dodds (10.1016/j.rse.2014.06.008_bb0060) 2009; 43 Hunter (10.1016/j.rse.2014.06.008_bb0115) 2010; 114 Graham (10.1016/j.rse.2014.06.008_bb0095) 2004; 38 Matthews (10.1016/j.rse.2014.06.008_bb0145) 2012; 124 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0265) 2011 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0275) 2013 Schaeffer (10.1016/j.rse.2014.06.008_bb0210) 2013; 34 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0255) 2007 ESS Group, Inc. (10.1016/j.rse.2014.06.008_bb0075) 2011 Hu (10.1016/j.rse.2014.06.008_bb0105) 2009; 113 MEMH (Ministry for the Environment and Ministry of Health) (10.1016/j.rse.2014.06.008_bb0140) 2009 Gómez (10.1016/j.rse.2014.06.008_bb0085) 2011; 181 Smayda (10.1016/j.rse.2014.06.008_bb0225) 1997; 42 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0270) Binding (10.1016/j.rse.2014.06.008_bb0030) 2011; 33 Lunetta (10.1016/j.rse.2014.06.008_bb0135) 2010; 12 NH Department of Environmental Services (10.1016/j.rse.2014.06.008_bb0160) 2005 Wynne (10.1016/j.rse.2014.06.008_bb0305) 2008; 29 Donlon (10.1016/j.rse.2014.06.008_bb0065) 2012; 120 Gower (10.1016/j.rse.2014.06.008_bb0090) 2008; 29 Matthews (10.1016/j.rse.2014.06.008_bb0150) 2010; 114 Ohio EPA (10.1016/j.rse.2014.06.008_bb0175) Vincent (10.1016/j.rse.2014.06.008_bb0280) 2004; 89 Paerl (10.1016/j.rse.2014.06.008_bb0180) 2008; 619 VT Department of Environmental Conservation (10.1016/j.rse.2014.06.008_bb0285) Lunetta (10.1016/j.rse.2014.06.008_bb0130) 2001; 67 Michalak (10.1016/j.rse.2014.06.008_bb0155) 2013 Riedinger-Whitmore (10.1016/j.rse.2014.06.008_bb0200) 2005; 21 Congalton (10.1016/j.rse.2014.06.008_bb0050) 1991; 37 Dash (10.1016/j.rse.2014.06.008_bb0055) 2011; 115 Seppälä (10.1016/j.rse.2014.06.008_bb0215) 2007; 73 Chorus (10.1016/j.rse.2014.06.008_bb0040) 2000; 3 Backer (10.1016/j.rse.2014.06.008_bb0015) 2002; 18 USEPA (United States Environmental Protection Agency) (10.1016/j.rse.2014.06.008_bb0260) 2009 Stumpf (10.1016/j.rse.2014.06.008_bb0245) 2012; 7 Simis (10.1016/j.rse.2014.06.008_bb0220) 2005; 50 Ruiz-Verdú (10.1016/j.rse.2014.06.008_bb0205) 2008; 112 Paerl (10.1016/j.rse.2014.06.008_bb0185) 2008; 320 Abbott (10.1016/j.rse.2014.06.008_bb0005) 2009
References_xml	– volume: 50 start-page: 237 year: 2005 end-page: 245 ident: bb0220 article-title: Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water publication-title: Limnology and Oceanography – volume: 120 start-page: 37 year: 2012 end-page: 57 ident: bb0065 article-title: The Global Monitoring for Environment and Security (GEMS) Sentinel-3 mission publication-title: Remote Sensing of Environment – volume: 43 start-page: 12 year: 2009 end-page: 19 ident: bb0060 article-title: Eutrophication of U.S. freshwaters: Analysis of potential economic damages publication-title: Environmental Science and Technology – volume: 46 start-page: 1349 year: 2012 end-page: 1363 ident: bb0190 article-title: Climate change: Links to global expansion of harmful cyanobacteria publication-title: Water Research – volume: 126 start-page: 126 year: 2012 end-page: 135 ident: bb0070 article-title: Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China publication-title: Remote Sensing of Environment – volume: 18 start-page: 20 year: 2002 end-page: 31 ident: bb0015 article-title: Cyanobacterial Harmful Algal Blooms (CyanoHABs): Developing a public health response publication-title: Lake and Reservoir Management – volume: 67 start-page: 707 year: 2001 end-page: 715 ident: bb0130 article-title: An assessment of reference data variability using a “virtual field reference database” publication-title: Photogrammetric Engineering and Remote Sensing – year: 2005 ident: bb0160 article-title: Standard operating procedure for algae collection/identification. Beach Program – year: 2011 ident: bb0265 article-title: Biofuels and the Environment: The first Technical Report to Congress publication-title: . Washington, DC, EPA/600/R-10/183 – volume: 21 start-page: 423 year: 2005 end-page: 435 ident: bb0200 article-title: Cyanobacteria proliferation is a recent response to eutrophication in many Florida lakes: A paleolimnological assessment publication-title: Lake and Reservoir Management – volume: 55 start-page: 2025 year: 2010 end-page: 2036 ident: bb0295 article-title: Characterizing a cyanobacterial bloom in western Lake Erie using satellite imagery and meteorological data publication-title: Limnology and Oceanography – volume: 42 start-page: 1132 year: 1997 end-page: 1136 ident: bb0225 article-title: What is a bloom? A commentary publication-title: Limnology and Oceanography – volume: 29 start-page: 3665 year: 2008 end-page: 3672 ident: bb0305 article-title: Relating spectral shape to cyanobacterial blooms in the Laurentian Great Lakes publication-title: International Journal of Remote Sensing – year: 2012 ident: bb0175 article-title: Public water system harmful algal bloom response strategy – volume: 619 start-page: 45 year: 2008 end-page: 103 ident: bb0080 article-title: Occurrence of cyanobacteria harmful algal blooms working group publication-title: Cyanobacterial harmful algal blooms: State of the science and research needs – year: 2014 ident: bb0025 article-title: Draft standard operating procedures for cyanobacteria counts – volume: 46 start-page: 213 year: 2001 end-page: 223 ident: bb0035 article-title: Remote sensing of biotic effects: Zebra mussels ( publication-title: Limnology and Oceanography – year: 2013 ident: bb0275 article-title: National Rivers and Streams Assessment 2008–2009: A Collaborative Survey publication-title: USEPA, Washington DC, EPA Report No. EPA/841/D-13/001 – year: 2005 ident: bb0165 article-title: Standard operating procedures for cyanobacteria identification publication-title: Beach Program, Limnology Center Laboratory Manual – year: 2009 ident: bb0140 publication-title: . Prepared by S.A. Wood, W.J. Hamilton, W.J. Paul, K.A. Safi and W.M. Williamson – volume: 320 start-page: 57 year: 2008 end-page: 58 ident: bb0185 article-title: Blooms like it hot publication-title: Science – year: 2007 ident: bb0255 article-title: 2007 National Lakes Assessment – volume: 55 start-page: 1024 year: 2010 end-page: 1034 ident: bb0110 article-title: The state of U.S. freshwater harmful algal blooms assessments, policy and legislation publication-title: Toxicon – volume: 29 start-page: 6209 year: 2008 end-page: 6216 ident: bb0090 article-title: Global monitoring of plankton blooms using MERIS MCI publication-title: International Journal of Remote Sensing – volume: 29 start-page: 350 year: 1991 end-page: 357 ident: bb0195 article-title: The derivative ratio algorithm: Avoiding atmospheric effects in remote sensing publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 73 start-page: 489 year: 2007 end-page: 500 ident: bb0215 article-title: Ship-of-opportunity based phycocyanin fluorescence monitoring of the filamentous cyanobacteria bloom dynamics in the Baltic Sea publication-title: Estuarine, Coastal and Shelf Science – volume: 38 start-page: 4395 year: 2004 end-page: 4404 ident: bb0095 article-title: Environmental factors influencing microsystin distributions and concentrations in the Midwestern United States publication-title: Water Research – volume: 114 start-page: 2705 year: 2010 end-page: 2718 ident: bb0115 article-title: Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes publication-title: Remote Sensing of Environment – year: 1999 ident: bb0045 article-title: Toxic cyanobacteria in water: A guide to their public health consequences, monitoring and management – volume: 619 start-page: 217 year: 2008 end-page: 237 ident: bb0180 article-title: Nutrient and other environmental controls of harmful cyanobacterial blooms along the freshwater-marine continuum publication-title: Cyanobacterial harmful algal blooms: State of the science and research needs – year: 2009 ident: bb0260 article-title: National Lakes Assessment: A collaborative Survey of the Nation's Lakes. Washington, DC. EPA 841-R-09-001 – year: 2014 ident: bb0285 article-title: Lake Champlain long term water quality and biological monitoring program – volume: 54 start-page: 1965 year: 1997 end-page: 1975 ident: bb0230 article-title: Factors affecting the timing of surface scums and epilimnetic blooms of blue-green algae in a eutrophic lake publication-title: Canadian Journal of Fisheries and Aquatic Sciences – year: 2011 ident: bb0075 article-title: Cyanobacteria monitoring program. Rhode Island Department of Environmental Management publication-title: ESS Project No. R298-010. RIDEM REQ# 1180565/1194117 – volume: 7 start-page: e4244 year: 2012 ident: bb0245 article-title: Interannual variability of cyanobacteria blooms in Lake Erie publication-title: PLoS ONE – year: 2011 ident: bb0290 article-title: Monitoring and evaluation of cyanobacteria in Lake Champlain, Summer 2009 publication-title: Technical Report No. 61. Rubenstein Ecosystem Science Laboratory – volume: 89 start-page: 381 year: 2004 end-page: 392 ident: bb0280 article-title: Phycocyanin detection from Landsat TM data for mapping cyanobacterial blooms in Lake Erie publication-title: Remote Sensing of Environment – year: 2013 ident: bb0300 article-title: Evolution of a cyanobacteria bloom forecast system in western Lake Erie: Development and initial evaluation publication-title: Journal of Great Lakes Research – volume: 33 start-page: 793 year: 2011 end-page: 806 ident: bb0030 article-title: An assessment of MERIS algal products during an intense bloom in Lake of the Woods publication-title: Journal of Plankton Research – volume: 30 start-page: 4401 year: 2009 end-page: 4425 ident: bb0125 article-title: Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters publication-title: International Journal of Remote Sensing – volume: 52 start-page: 237 year: 2010 end-page: 257 ident: bb0010 article-title: Detecting cyanobacterial blooms in large North European lakes using the Maximum Chlorophyll Index publication-title: Oceanologia – volume: 181 start-page: 317 year: 2011 end-page: 334 ident: bb0085 article-title: Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs) publication-title: Environmental Monitoring and Assessment – volume: 114 start-page: 2070 year: 2010 end-page: 2087 ident: bb0150 article-title: Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS publication-title: Remote Sensing of Environment – year: 2012 ident: bb0170 article-title: Washington, DC – volume: 12 start-page: 81 year: 2010 end-page: 88 ident: bb0135 article-title: Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data publication-title: International Journal of Applied Earth Observation and Geoinformation – volume: 112 start-page: 3996 year: 2008 end-page: 4008 ident: bb0205 article-title: An evaluation of algorithms for the remote sensing of cyanobacterial biomass publication-title: Remote Sensing of Environment – volume: 124 start-page: 637 year: 2012 end-page: 652 ident: bb0145 article-title: An algorithm for detecting trophic status (chlorophyll-a), cyanobacteria-dominance, surface scums and floating vegetation in inland and coastal waters publication-title: Remote Sensing of Environment – year: 2009 ident: bb0005 article-title: Resource guide for public health response to harmful algal blooms in Florida publication-title: Fish and Wildlife Research Institute Technical Report TR-14 – volume: 3 start-page: 323 year: 2000 end-page: 347 ident: bb0040 article-title: Health risks caused by freshwater cyanobacteria in recreational waters publication-title: Journal of Toxicology and Environmental Health, Part B – volume: 113 start-page: 2118 year: 2009 end-page: 2129 ident: bb0105 article-title: A novel ocean color index to detect floating algae in the global oceans publication-title: Remote Sensing of Environment – start-page: 18 year: 2009 end-page: 24 ident: bb0100 article-title: Monitoring recreational freshwaters – year: 2013 ident: bb0155 article-title: Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with future conditions – volume: 5:6 year: 2006 ident: bb0235 article-title: Recreational and occupational field exposure to freshwater cyanobacteria — a review of anecdotal and case reports, epidemiological studies and the challenges for epidemiologic assessment publication-title: Environmental Health – volume: 37 start-page: 35 year: 1991 end-page: 46 ident: bb0050 article-title: A review of assessing the accuracy of classifications of remotely sensed data publication-title: Remote Sensing of Environment – year: 2007 ident: bb0250 article-title: . Washington, DC. EPA 841-B-07-004 – volume: 115 start-page: 3409 year: 2011 end-page: 3423 ident: bb0055 article-title: Estimation of cyanobacterial pigments in a freshwater lake using OCM satellite data publication-title: Remote Sensing of Environment – year: 2013 ident: bb0270 article-title: CCL and Regulatory Determinations: CCL 3 List – volume: 18 start-page: 401 year: 2010 end-page: 412 ident: bb0240 article-title: Adjustment of ocean color sensor calibration through multi-band statistics publication-title: Optics Express – volume: 34 start-page: 7534 year: 2013 end-page: 7544 ident: bb0210 article-title: Barriers to adopting satellite remote sensing for water quality management publication-title: International Journal of Remote Sensing – volume: 35 start-page: 447 year: 2009 end-page: 453 ident: bb0020 article-title: Mapping cyanobacterial blooms in the Great Lakes using MODIS publication-title: Journal of Great Lakes Research – volume: 343 start-page: 15 year: 2007 end-page: 23 ident: bb0120 article-title: Satellite measurement of cyanobacteria bloom frequency in the Baltic Sea: Interannual and spatial variability publication-title: Marine Ecology Progress Series – volume: 343 start-page: 15 year: 2007 ident: 10.1016/j.rse.2014.06.008_bb0120 article-title: Satellite measurement of cyanobacteria bloom frequency in the Baltic Sea: Interannual and spatial variability publication-title: Marine Ecology Progress Series doi: 10.3354/meps06943 – volume: 55 start-page: 1024 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0110 article-title: The state of U.S. freshwater harmful algal blooms assessments, policy and legislation publication-title: Toxicon doi: 10.1016/j.toxicon.2009.07.021 – volume: 114 start-page: 2070 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0150 article-title: Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2010.04.013 – volume: 3 start-page: 323 year: 2000 ident: 10.1016/j.rse.2014.06.008_bb0040 article-title: Health risks caused by freshwater cyanobacteria in recreational waters publication-title: Journal of Toxicology and Environmental Health, Part B doi: 10.1080/109374000436364 – volume: 21 start-page: 423 issue: 4 year: 2005 ident: 10.1016/j.rse.2014.06.008_bb0200 article-title: Cyanobacteria proliferation is a recent response to eutrophication in many Florida lakes: A paleolimnological assessment publication-title: Lake and Reservoir Management doi: 10.1080/07438140509354447 – volume: 124 start-page: 637 year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0145 article-title: An algorithm for detecting trophic status (chlorophyll-a), cyanobacteria-dominance, surface scums and floating vegetation in inland and coastal waters publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2012.05.032 – volume: 29 start-page: 6209 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0090 article-title: Global monitoring of plankton blooms using MERIS MCI publication-title: International Journal of Remote Sensing doi: 10.1080/01431160802178110 – ident: 10.1016/j.rse.2014.06.008_bb0270 – volume: 181 start-page: 317 year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0085 article-title: Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs) publication-title: Environmental Monitoring and Assessment doi: 10.1007/s10661-010-1831-7 – volume: 12 start-page: 81 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0135 article-title: Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data publication-title: International Journal of Applied Earth Observation and Geoinformation doi: 10.1016/j.jag.2009.11.005 – volume: 73 start-page: 489 year: 2007 ident: 10.1016/j.rse.2014.06.008_bb0215 article-title: Ship-of-opportunity based phycocyanin fluorescence monitoring of the filamentous cyanobacteria bloom dynamics in the Baltic Sea publication-title: Estuarine, Coastal and Shelf Science doi: 10.1016/j.ecss.2007.02.015 – volume: 67 start-page: 707 issue: 6 year: 2001 ident: 10.1016/j.rse.2014.06.008_bb0130 article-title: An assessment of reference data variability using a “virtual field reference database” publication-title: Photogrammetric Engineering and Remote Sensing – year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0265 article-title: Biofuels and the Environment: The first Technical Report to Congress – year: 2005 ident: 10.1016/j.rse.2014.06.008_bb0165 article-title: Standard operating procedures for cyanobacteria identification – volume: 18 start-page: 401 issue: 2 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0240 article-title: Adjustment of ocean color sensor calibration through multi-band statistics publication-title: Optics Express doi: 10.1364/OE.18.000401 – volume: 29 start-page: 3665 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0305 article-title: Relating spectral shape to cyanobacterial blooms in the Laurentian Great Lakes publication-title: International Journal of Remote Sensing doi: 10.1080/01431160802007640 – year: 2007 ident: 10.1016/j.rse.2014.06.008_bb0255 – volume: 5:6 year: 2006 ident: 10.1016/j.rse.2014.06.008_bb0235 article-title: Recreational and occupational field exposure to freshwater cyanobacteria — a review of anecdotal and case reports, epidemiological studies and the challenges for epidemiologic assessment publication-title: Environmental Health – year: 1999 ident: 10.1016/j.rse.2014.06.008_bb0045 – volume: 46 start-page: 1349 year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0190 article-title: Climate change: Links to global expansion of harmful cyanobacteria publication-title: Water Research doi: 10.1016/j.watres.2011.08.002 – volume: 50 start-page: 237 year: 2005 ident: 10.1016/j.rse.2014.06.008_bb0220 article-title: Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water publication-title: Limnology and Oceanography doi: 10.4319/lo.2005.50.1.0237 – start-page: 18 year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0100 – volume: 114 start-page: 2705 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0115 article-title: Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2010.06.006 – volume: 52 start-page: 237 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0010 article-title: Detecting cyanobacterial blooms in large North European lakes using the Maximum Chlorophyll Index publication-title: Oceanologia doi: 10.5697/oc.52-2.237 – year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0005 article-title: Resource guide for public health response to harmful algal blooms in Florida – year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0075 article-title: Cyanobacteria monitoring program. Rhode Island Department of Environmental Management – year: 2013 ident: 10.1016/j.rse.2014.06.008_bb0300 article-title: Evolution of a cyanobacteria bloom forecast system in western Lake Erie: Development and initial evaluation publication-title: Journal of Great Lakes Research doi: 10.1016/j.jglr.2012.10.003 – volume: 619 start-page: 45 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0080 article-title: Occurrence of cyanobacteria harmful algal blooms working group – volume: 113 start-page: 2118 year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0105 article-title: A novel ocean color index to detect floating algae in the global oceans publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2009.05.012 – ident: 10.1016/j.rse.2014.06.008_bb0175 – volume: 38 start-page: 4395 year: 2004 ident: 10.1016/j.rse.2014.06.008_bb0095 article-title: Environmental factors influencing microsystin distributions and concentrations in the Midwestern United States publication-title: Water Research doi: 10.1016/j.watres.2004.08.004 – year: 2013 ident: 10.1016/j.rse.2014.06.008_bb0155 – volume: 7 start-page: e4244 issue: 8 year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0245 article-title: Interannual variability of cyanobacteria blooms in Lake Erie publication-title: PLoS ONE doi: 10.1371/journal.pone.0042444 – volume: 30 start-page: 4401 year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0125 article-title: Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters publication-title: International Journal of Remote Sensing doi: 10.1080/01431160802562305 – volume: 89 start-page: 381 year: 2004 ident: 10.1016/j.rse.2014.06.008_bb0280 article-title: Phycocyanin detection from Landsat TM data for mapping cyanobacterial blooms in Lake Erie publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2003.10.014 – year: 2014 ident: 10.1016/j.rse.2014.06.008_bb0025 – volume: 46 start-page: 213 year: 2001 ident: 10.1016/j.rse.2014.06.008_bb0035 article-title: Remote sensing of biotic effects: Zebra mussels (Dreissena polymorpha) influence on water clarity in Saginaw Bay, Lake Huron publication-title: Limnology and Oceanography doi: 10.4319/lo.2001.46.2.0213 – year: 2013 ident: 10.1016/j.rse.2014.06.008_bb0275 article-title: National Rivers and Streams Assessment 2008–2009: A Collaborative Survey – year: 2007 ident: 10.1016/j.rse.2014.06.008_bb0250 – volume: 37 start-page: 35 year: 1991 ident: 10.1016/j.rse.2014.06.008_bb0050 article-title: A review of assessing the accuracy of classifications of remotely sensed data publication-title: Remote Sensing of Environment doi: 10.1016/0034-4257(91)90048-B – volume: 42 start-page: 1132 year: 1997 ident: 10.1016/j.rse.2014.06.008_bb0225 article-title: What is a bloom? A commentary publication-title: Limnology and Oceanography doi: 10.4319/lo.1997.42.5_part_2.1132 – year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0140 – year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0290 article-title: Monitoring and evaluation of cyanobacteria in Lake Champlain, Summer 2009 – volume: 112 start-page: 3996 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0205 article-title: An evaluation of algorithms for the remote sensing of cyanobacterial biomass publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2007.11.019 – volume: 54 start-page: 1965 year: 1997 ident: 10.1016/j.rse.2014.06.008_bb0230 article-title: Factors affecting the timing of surface scums and epilimnetic blooms of blue-green algae in a eutrophic lake publication-title: Canadian Journal of Fisheries and Aquatic Sciences – volume: 18 start-page: 20 year: 2002 ident: 10.1016/j.rse.2014.06.008_bb0015 article-title: Cyanobacterial Harmful Algal Blooms (CyanoHABs): Developing a public health response publication-title: Lake and Reservoir Management doi: 10.1080/07438140209353926 – ident: 10.1016/j.rse.2014.06.008_bb0285 – volume: 115 start-page: 3409 year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0055 article-title: Estimation of cyanobacterial pigments in a freshwater lake using OCM satellite data publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2011.08.004 – volume: 35 start-page: 447 year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0020 article-title: Mapping cyanobacterial blooms in the Great Lakes using MODIS publication-title: Journal of Great Lakes Research doi: 10.1016/j.jglr.2009.05.007 – volume: 34 start-page: 7534 year: 2013 ident: 10.1016/j.rse.2014.06.008_bb0210 article-title: Barriers to adopting satellite remote sensing for water quality management publication-title: International Journal of Remote Sensing doi: 10.1080/01431161.2013.823524 – volume: 126 start-page: 126 year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0070 article-title: Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2012.08.011 – volume: 619 start-page: 217 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0180 article-title: Nutrient and other environmental controls of harmful cyanobacterial blooms along the freshwater-marine continuum – volume: 120 start-page: 37 year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0065 article-title: The Global Monitoring for Environment and Security (GEMS) Sentinel-3 mission publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2011.07.024 – volume: 320 start-page: 57 year: 2008 ident: 10.1016/j.rse.2014.06.008_bb0185 article-title: Blooms like it hot publication-title: Science doi: 10.1126/science.1155398 – year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0260 – year: 2005 ident: 10.1016/j.rse.2014.06.008_bb0160 – volume: 43 start-page: 12 year: 2009 ident: 10.1016/j.rse.2014.06.008_bb0060 article-title: Eutrophication of U.S. freshwaters: Analysis of potential economic damages publication-title: Environmental Science and Technology doi: 10.1021/es801217q – year: 2012 ident: 10.1016/j.rse.2014.06.008_bb0170 – volume: 55 start-page: 2025 year: 2010 ident: 10.1016/j.rse.2014.06.008_bb0295 article-title: Characterizing a cyanobacterial bloom in western Lake Erie using satellite imagery and meteorological data publication-title: Limnology and Oceanography doi: 10.4319/lo.2010.55.5.2025 – volume: 29 start-page: 350 year: 1991 ident: 10.1016/j.rse.2014.06.008_bb0195 article-title: The derivative ratio algorithm: Avoiding atmospheric effects in remote sensing publication-title: IEEE Transactions on Geoscience and Remote Sensing doi: 10.1109/36.79425 – volume: 33 start-page: 793 year: 2011 ident: 10.1016/j.rse.2014.06.008_bb0030 article-title: An assessment of MERIS algal products during an intense bloom in Lake of the Woods publication-title: Journal of Plankton Research doi: 10.1093/plankt/fbq133
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Snippet	Inland waters across the United States (US) are at potential risk for increased outbreaks of toxic cyanobacteria blooms events resulting from elevated water...
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SubjectTerms	absorption Algorithm validation Algorithms climate change Counting Cyanobacteria Cyanobacteria monitoring Eastern United States Estimates European Space Agency Freshwater Harmful algal blooms image analysis Lakes MERIS Monitoring Monitors phycocyanin phytoplankton pollution load remote sensing risk Sentinel-3 spectrometers toxicity Water quality water temperature
Title	Evaluation of cyanobacteria cell count detection derived from MERIS imagery across the eastern USA
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