References

• Amanollahi, J., Ahmad, M.A., Ramli, M.F., and Pirasteh, S. 2012. “Influences of the window size of moderate resolution imaging spectroradiometer (MODIS) aerosol optical thickness (AOT) values on particulate matter (PM10) motoring in Klang Valley, Malaysia.” Scientific Research and Essays, Vol. 7(No. 12): pp. 1373–1380. doi:10.5897/SRE12.040.
   Google Scholar
• Augusto-Silva, P.B., Ogashawara, I., Barbosa, C.C., De Carvalho, L.A., Jorge, D.S., Fornari, C.I., and Stech, J.L. 2014. “Analysis of MERIS reflectance algorithms for estimating chlorophyll-a concentration in a Brazilian reservoir.” Remote Sensing, Vol. 6(No. 12): pp. 11689–11707. doi:10.3390/rs61211689.
   Web of Science ®Google Scholar
• Binding, C., Greenberg, T., and Bukata, R. 2013. “The MERIS maximum chlorophyll index; its merits and limitations for inland water algal bloom monitoring.” Journal of Great Lakes Research, Vol. 39: pp. 100–107. doi:10.1016/j.jglr.2013.04.005.
   Web of Science ®Google Scholar
• Binding, C., Greenberg, T., Jerome, J., Bukata, R., and Letourneau, G. 2011. “An assessment of MERIS algal products during an intense bloom in Lake of the Woods.” Journal of Plankton Research, Vol. 33(No. 5): pp. 793–806. doi:10.1093/plankt/fbq133.
   Web of Science ®Google Scholar
• Binding, C., Greenberg, T., McCullough, G., Watson, S.B., and Page, E. 2018. “An analysis of satellite-derived chlorophyll and algal bloom indices on Lake Winnipeg.” Journal of Great Lakes Research, Vol. 44(No. 3): pp. 436–446. doi:10.1016/j.jglr.2018.04.001.
   Web of Science ®Google Scholar
• Blondeau-Patissier, D., Gower, J.F., Dekker, A.G., Phinn, S.R., and Brando, V.E. 2014. “A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans.” Progress in Oceanography, Vol. 123: pp. 123–144. doi:10.1016/j.pocean.2013.12.008.
   Web of Science ®Google Scholar
• Charlton, M., Vincent, J., Marvin, C., and Ciborowski, J. 2008. “Status of nutrients in the Lake Erie basin.” US EPA. Accessed 20 April 2020. https://www.epa.gov/sites/production/files/2015-10/documents/status-nutrients-lake-erie-basin-2010-42pp.pdf.
   Google Scholar
• Clark, J.M., Schaeffer, B.A., Darling, J.A., Urquhart, E.A., Johnston, J.M., Ignatius, A., Myer, M.H., Loftin, K.A., Werdell, P.J., and Stumpf, R.P. 2017. “Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking source waters.” Ecological Indicators, Vol. 80: pp.: 84–95. doi:10.1016/j.ecolind.2017.04.046.
   PubMed Web of Science ®Google Scholar
• Daghighi, A. 2017. Harmful algae bloom prediction model for western Lake Erie using stepwise multiple regression and genetic programming. MSc Thesis. Cleveland: Cleveland State University. Accessed 20 April 2020 https://engagedscholarship.csuohio.edu/etdarchive/964
   Google Scholar
• Daghighi, A., Nahvi, A., and Kim, U. 2017. “Optimal cultivation pattern to increase revenue and reduce water use: Application of linear programming to Arjan Plain in Fars Province.” Agriculture, Vol. 7(No. 9): pp. 73. doi:10.3390/agriculture7090073.
   Google Scholar
• Dekker, A. G. 1993. Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing. PhD thesis. Amsterdam: Free Universit, Vrije Universiteit Amsterdam. Accessed 20 April 2020 https://research.vu.nl/ws/portalfiles/portal/62846616/complete+dissertation.pdf
   Google Scholar
• Devred, E., Turpie, K.R., Moses, W., Klemas, V.V., Moisan, T., Babin, M., Toro-Farmer, G., Forget, M.H., and Jo, Y.H. 2013. “Future retrievals of water column bio-optical properties using the hyperspectral infrared imager (HYSPIRI).” Remote Sensing, Vol. 5(No. 12): pp. 6812–6837. doi:10.3390/rs5126812.
   Web of Science ®Google Scholar
• El-Alem, A., Chokmani, K., Laurion, I., and El-Adlouni, S.E. 2012. “Comparative analysis of four models to estimate chlorophyll-a concentration in case-2 waters using MODerate Resolution Imaging Spectroradiometer (MODIS) imagery.” Remote Sensing, Vol. 4(No. 8): pp. 2373–2400. doi:10.3390/rs4082373.
   Web of Science ®Google Scholar
• Gitelson, A. 1992. “The peak near 700 nm on radiance spectra of algae and water: Relationships of its magnitude and position with chlorophyll concentration.” International Journal of Remote Sensing, Vol. 13(No. 17): pp. 3367–3373. doi:10.1080/01431169208904125.
   Web of Science ®Google Scholar
• Gitelson, A.A., Gurlin, D., Moses, W.J., and Barrow, T. 2009. “A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters.” Environmental Research Letters, Vol. 4(No. 4): pp. 045003. doi:10.1088/1748-9326/4/4/045003.
   Web of Science ®Google Scholar
• Gordon, H.R., Brown, O.B., Evans, R.H., Brown, J.W., Smith, R.C., Baker, K.S., and Clark, D.K. 1988. “Semianalytic radiance model of ocean color.” Journal of Geophysical Research, Vol. 93(No. D9): pp. 10909–10924. doi:10.1029/JD093iD09p10909.
   Web of Science ®Google Scholar
• Gordon, H.R., and Morel, A.Y. 2012. Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review. Vol. 4. New York: Springer Science & Business Media. doi:10.1007/978-1-4684-6280-7.
   Google Scholar
• Gordon, H.R., Brown, O.B., and Jacobs, M.M. 1975. “Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean.” Applied Optics, Vol. 14(No. 2): pp. 417–427. doi:10.1364/AO.14.000417.
   PubMed Web of Science ®Google Scholar
• Gower, J., Doerffer, R., and Borstad, G. 1999. “Interpretation of the 685nm peak in water leaving radiance spectra in terms of putrescence, absorption and scattering, and its observation by MERIS.” International Journal of Remote Sensing, Vol. 20(No. 9): pp. 1771–1786. doi:10.1080/014311699212470.
   Web of Science ®Google Scholar
• Gower, J., King, S., and Goncalves, P. 2008. “Global monitoring of plankton blooms using MERIS mci.” International Journal of Remote Sensing, Vol. 29(No. 21): pp. 6209–6216. doi:10.1080/01431160802178110.
   Web of Science ®Google Scholar
• Gower, J., King, S., Borstad, G., and Brown, L. 2005. “Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer.” International Journal of Remote Sensing, Vol. 26(No. 9): pp. 2005–2012. doi:10.1080/01431160500075857.
   Web of Science ®Google Scholar
• Gower, J., King, S., Yan, W., Borstad, G., and Brown, L. 2003. “Use of the 709 nm band of meris to detect intense plankton blooms and other conditions in coastal waters.” Proceedings of MERIS User Workshop, Frascati, Italy, 10–13 November 2003.
   Google Scholar
• Hill, V.J., Zimmerman, R.C., Bissett, W.P., Dierssen, H., and Kohler, D.D. 2014. “Evaluating light availability, seagrass biomass, and productivity using hyperspectral airborne remote sensing in Saint Joseph’s Bay.” Estuaries and Coasts, Vol. 37(No. 6): pp. 1467–1489. 2014. doi:10.1007/s12237-013-9764-3.
   Web of Science ®Google Scholar
• Jerlov, N. G. 1976. Marine Optics. Vol. 14. Amsterdam: Elsevier.
   Google Scholar
• Kahru, M., Mitchell, B.G., Diaz, A., and Miura, M. 2004. “MODIS detects a devastating algal bloom in Paracas Bay, Peru.” Eos Transactions American Geophysical Union, Vol. 85(No. 45): pp. 465–472. doi:10.1029/2004EO450002.
   Google Scholar
• Kutser, T. 2004. “Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing.” Limnology and Oceanography, Vol. 49(No. 6): pp. 2179–2189. doi:10.4319/lo.2004.49.6.2179.
   Web of Science ®Google Scholar
• Kutser, T., Herlevi, A., Kallio, K., and Arst, H. 2001. “A hyperspectral model for interpretation of passive optical remote sensing data from turbid lakes.” The Science of the Total Environment, Vol. 268(No. 1–3): pp. 47–58. doi:10.1016/S0048-9697(00)00682-3.
   PubMed Web of Science ®Google Scholar
• Kutser, T., Pierson, D.C., Kallio, K.Y., Reinart, A., and Sobek, S. 2005. “Mapping Lake CDOM by satellite remote sensing.” Remote Sensing of Environment, Vol. 94(No. 4): pp. 535–540. doi:10.1016/j.rse.2004.11.009.
   Web of Science ®Google Scholar
• Ledesma, M.M., Bonansea, M., Ledesma, C.R., Rodríguez, C., Carreño, J., and Pinotti, L. 2019. “Estimation of chlorophyll-a concentration using Landsat-8 in the Cassaffousth reservoir.” Water Supply, Vol. 19(No. 7): pp. 2021–2027. doi:10.2166/ws.2019.080.
   Google Scholar
• Letelier, R.M., and Abbott, M.R. 1996. “An analysis of chlorophyll fluorescence algorithms for the moderate resolution imaging spectrometer (modis).” Remote Sensing of Environment, Vol. 58(No. 2): pp. 215–223. doi:10.1016/S0034-4257(96)00073-9.
   Web of Science ®Google Scholar
• Maccoux, M.J., Dove, A., Backus, S.M., and Dolan, D.M. 2016. “Total and soluble reactive phosphorus loadings to Lake Erie: A detailed accounting by year, basin, country, and tributary.” Journal of Great Lakes Research, Vol. 42(No. 6): pp. 1151–1165. doi:10.1016/j.jglr.2016.08.005.
   Web of Science ®Google Scholar
• Matthews, M.W. 2011. “A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters.” International Journal of Remote Sensing, Vol. 32(No. 21): pp. 6855–6899. doi:10.1080/01431161.2010.512947.
   Web of Science ®Google Scholar
• Matthews, M.W., Bernard, S., and Robertson, L. 2012. “An algorithm for detecting trophic status (chlorophyll-a), cyanobacterial-dominance, surface scums and floating vegetation in inland and coastal waters.” Remote Sensing of Environment, Vol. 124: pp.637–652. doi:10.1016/j.rse.2012.05.032.
   Web of Science ®Google Scholar
• McKee, D., Cunningham, A., Wright, D., and Hay, L. 2007. “Potential impacts of nonalgal materials on water-leaving sun induced chlorophyll fluorescence signals in coastal waters.” Applied Optics, Vol. 46(No. 31): pp. 7720–7729. doi:10.1364/AO.46.007720.
   PubMed Web of Science ®Google Scholar
• Mobley, C.D., and Sundman, L. 2001. Hydrolight 4.2, Users Guide, pp. 87. Redmond: Sequoia Scientific.
   Google Scholar
• Mobley, C.D. 1995. “The optical properties of water.” In Handbook of Optics, edited by M. Bass, Vol. 1, pp. 43–41.
   Google Scholar
• Morel, A., and Prieur, L. 1977. “Analysis of variations in ocean color.” Limnology and Oceanography, Vol. 22(No. 4): pp. 709–722. doi:10.4319/lo.1977.22.4.0709.
   Web of Science ®Google Scholar
• Moses, W.J., Gitelson, A.A., Berdnikov, S., and Povazhnyy, V. 2009. “Satellite estimation of chlorophyll-a concentration using the red and NIR bands of meristhe azov sea case study.” IEEE Geoscience and Remote Sensing Letters, Vol. 6(No. 4): pp. 845–849. doi:10.1109/LGRS.2009.2026657.
   Web of Science ®Google Scholar
• Nguyen, M.V., Lin, C.H., Chu, H.J., Jaelani, L.M., and Syariz, M.A. 2019. “Spectral feature selection optimization for water quality estimation.” International Journal of Environmental Research and Public Health, Vol. 17 (No. 1): pp. 272. doi:10.3390/ijerph17010272.
   Web of Science ®Google Scholar
• Odermatt, D., Gitelson, A., Brando, V.E., and Schaepman, M. 2012. “Review of constituent retrieval in optically deep and complex waters from satellite imagery.” Remote Sensing of Environment, Vol. 118: pp. 116–126. doi:10.1016/j.rse.2011.11.013.
   Web of Science ®Google Scholar
• Olmanson, L.G., Bauer, M.E., and Brezonik, P.L. 2008. “A 20-year Landsat water clarity census of Minnesota’s 10,000 lakes.” Remote Sensing of Environment, Vol. 112(No. 11): pp. 4086–4097. doi:10.1016/j.rse.2007.12.013.
   Web of Science ®Google Scholar
• Olmanson, L.G., Brezonik, P.L., and Bauer, M.E. 2015. “Remote sensing for regional lake water quality assessment: Capabilities and limitations of current and upcoming satellite systems.” In Advances in Watershed Science and Assessment, edited by T. Younos and T.E. Parece, 111–140. Cham: Springer. doi:10.1007/978-3-319-14212-8_5.
   Google Scholar
• Pal, S., Gregory-Eaves, I., and Pick, F. 2015. “Temporal trends in cyanobacteria revealed through DNA and pigment analyses of temperate lake sediment cores.” Journal of Paleolimnology, Vol. 54(No. 1): pp. 87–101. 2015. doi:10.1007/s10933-015-9839-1.
   Web of Science ®Google Scholar
• Palmer, S.C., Kutser, T., and Hunter, P.D. 2015. “Remote sensing of inland waters: Challenges, progress and future directions.” Remote Sensing of Environment, Vol. 157: pp. 1–8. doi:10.1016/j.rse.2014.09.021.
   Web of Science ®Google Scholar
• Stramski, D., Bricaud, A., and Morel, A. 2001. “Modeling the inherent optical properties of the ocean based on the detailed composition of the planktonic community.” Applied Optics, Vol. 40(No. 18): pp. 2929–2945. doi:10.1364/AO.40.002929.
   PubMed Web of Science ®Google Scholar
• Tao, B., Mao, Z., Pan, D., Shen, Y., Zhu, Q., and Chen, J. 2013. “Inuence of bio-optical parameter variability on the reectance peak position in the red band of algal bloom waters.” Ecological Informatics, Vol. 16: pp. 17–24. doi:10.1016/j.ecoinf.2013.04.005.
   Web of Science ®Google Scholar
• Tebbs, E., Remedios, J., and Harper, D. 2013. “Remote sensing of chlorophyll-a as a measure of cyanobacterial biomass in lake bogoria, a hypertrophic, saline-alkaline, Amingo lake, using Landsat ETM.” Remote Sensing of Environment, Vol. 135: pp. 92–106. doi:10.1016/j.rse.2013.03.024.
   Web of Science ®Google Scholar
• Toming, K., Kutser, T., Laas, A., Sepp, M., Paavel, B., and Noges, T. 2016. “First experiences in mapping lake water quality parameters with Sentinel-2 MSI imagery.” Remote Sensing, Vol. 8(No. 8): pp. 640. doi:10.3390/rs8080640.
   Web of Science ®Google Scholar
• Toming, K., Kutser, T., Uiboupin, R., Arikas, A., Vahter, K., and Paavel, B. 2017. “Mapping water quality parameters with sentinel-3 ocean and land colour instrument imagery in the Baltic Sea.” Remote Sensing, Vol. 10(No. 9): pp. 1070. doi:10.3390/rs9101070.
   Google Scholar
• Urquhart, E.A., Schaeffer, B.A., Stumpf, R.P., Loftin, K.A., and Werdell, P.J. 2017. “A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing.” Algae Harmful, Vol. 67: pp. 144–152. doi:10.1016/j.hal.2017.06.001.
   PubMed Web of Science ®Google Scholar
• Wang, M., and Shi, W. 2007. “The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing.” Optics Express, Vol. 15(No. 24): pp. 15722–15733. doi:10.1364/OE.15.015722.
   PubMed Web of Science ®Google Scholar
• Witter, D.L., Ortiz, J.D., Palm, S., Heath, R.T., and Budd, J.W. 2009. “Assessing the application of seawifs ocean color algorithms to lake Erie.” Journal of Great Lakes Research, Vol. 35(No. 3): pp. 361–370. doi:10.1016/j.jglr.2009.03.002.
   Web of Science ®Google Scholar