Articles | Volume 11, issue 13
https://doi.org/10.5194/bg-11-3619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-3619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Jul 2014
Research article |
| 04 Jul 2014
Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea
M. Kahru
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093-0218, USA
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-10691, Stockholm, Sweden
R. Elmgren
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-10691, Stockholm, Sweden
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A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Mati Kahru, Ragnar Elmgren, and Oleg P. Savchuk
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Short summary
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Using satellite-derived data sets we have found drastic changes in the timing of the annual cycle in physical and ecological variables of the Baltic Sea over the last 30 years. The summer season starts earlier and extends longer. The period with sea-surface temperature of at least 17 ˚C has doubled; the period with high water turbidity has quadrupled. While both the phytoplankton spring and summer blooms have become earlier, the annual maximum has switched to the summer cyanobacteria bloom.
C. D. Nevison, M. Manizza, R. F. Keeling, M. Kahru, L. Bopp, J. Dunne, J. Tiputra, T. Ilyina, and B. G. Mitchell
Biogeosciences, 12, 193–208, https://doi.org/10.5194/bg-12-193-2015, https://doi.org/10.5194/bg-12-193-2015, 2015
Short summary
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The observed seasonal cycles in atmospheric potential oxygen (APO) at five surface monitoring sites are compared to those inferred from the air-sea O2 fluxes of six ocean biogeochemistry models. The simulated air-sea fluxes are translated into APO seasonal cycles using a matrix method that takes into account atmospheric transport model (ATM) uncertainty among 13 different ATMs. Net primary production (NPP), estimated from satellite ocean color data, is also compared to model output.
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Understanding the dynamics of primary productivity requires mechanistic insight into the coupling of light absorption, electron transport and carbon fixation in response to environmental variability. Measuring such rates over diurnal timescales in contrasting regions allowed us to gain information on the regulation of photosynthetic efficiencies, with implications for the interpretation of bio-optical data, and the parameterization of models needed to monitor productivity over large scales.
Marie Barbieux, Julia Uitz, Bernard Gentili, Orens Pasqueron de Fommervault, Alexandre Mignot, Antoine Poteau, Catherine Schmechtig, Vincent Taillandier, Edouard Leymarie, Christophe Penkerc'h, Fabrizio D'Ortenzio, Hervé Claustre, and Annick Bricaud
Biogeosciences, 16, 1321–1342, https://doi.org/10.5194/bg-16-1321-2019, https://doi.org/10.5194/bg-16-1321-2019, 2019
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As commonly observed in oligotrophic stratified waters, a subsurface (or deep) chlorophyll maximum (SCM) frequently characterizes the vertical distribution of phytoplankton chlorophyll in the Mediterranean Sea. SCMs often result from photoacclimation of the phytoplankton organisms. However they can also result from an actual increase in phytoplankton carbon biomass. Our results also suggest that a variety of intermediate types of SCMs are encountered between these two endmember situations.
Hannah L. Bourne, James K. B. Bishop, Todd J. Wood, Timothy J. Loew, and Yizhuang Liu
Biogeosciences, 16, 1249–1264, https://doi.org/10.5194/bg-16-1249-2019, https://doi.org/10.5194/bg-16-1249-2019, 2019
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The biological carbon pump, the process by which carbon-laden particles sink out of the surface ocean, is dynamic and fast. The use of autonomous observations will better inform carbon export simulations. The Carbon Flux Explorer (CFE) was developed to optically measure hourly variations of particle flux. We calibrate the optical measurements of the CFE against C and N flux using samples collected during a coastal California cruise in June 2017. Our results yield well-correlated calibrations.
Hailong Zhang, Shengqiang Wang, Zhongfeng Qiu, Deyong Sun, Joji Ishizaka, Shaojie Sun, and Yijun He
Biogeosciences, 15, 4271–4289, https://doi.org/10.5194/bg-15-4271-2018, https://doi.org/10.5194/bg-15-4271-2018, 2018
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The PSC model was re-tuned for regional application in the East China Sea, and successfully applied to MODIS data. We investigated previously unknown temporal–spatial patterns of the PSC in the ECS and analyzed their responses to environmental factors. The results show the PSC varied across both spatial and temporal scales, and was probably affected by the water column stability, upwelling, and Kuroshio. In addition, human activity and riverine discharge may impact the PSC dynamics.
Ishan D. Joshi and Eurico J. D'Sa
Biogeosciences, 15, 4065–4086, https://doi.org/10.5194/bg-15-4065-2018, https://doi.org/10.5194/bg-15-4065-2018, 2018
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The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
Yasmina Loozen, Karin T. Rebel, Derek Karssenberg, Martin J. Wassen, Jordi Sardans, Josep Peñuelas, and Steven M. De Jong
Biogeosciences, 15, 2723–2742, https://doi.org/10.5194/bg-15-2723-2018, https://doi.org/10.5194/bg-15-2723-2018, 2018
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Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
Stephanie Dutkiewicz, Anna E. Hickman, and Oliver Jahn
Biogeosciences, 15, 613–630, https://doi.org/10.5194/bg-15-613-2018, https://doi.org/10.5194/bg-15-613-2018, 2018
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This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which explicitly captures how light is radiated at the surface of the ocean and can be used as a laboratory to explore products (such as Chl a) that are derived from satellite measurements of ocean colour. It explores uncertainties that arise from data input used to derive the algorithms for the products, and issues arising from the interplay between optically important constituents in the ocean.
Gholamreza Mohammadpour, Jean-Pierre Gagné, Pierre Larouche, and Martin A. Montes-Hugo
Biogeosciences, 14, 5297–5312, https://doi.org/10.5194/bg-14-5297-2017, https://doi.org/10.5194/bg-14-5297-2017, 2017
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The mass-specific absorption coefficients of total suspended particulate matter (aSPM*) had relatively low (high) values in areas of of the St. Lawrence Estuary influenced by marine (freshwater) waters and dominated by large-sized (small-sized) and organic-rich (mineral-rich) particulates.
The inorganic content of particulates was correlated with size-fractionated aSPM* values at a wavelength of 440 nm and the spectral slope of aSPM* as computed within the spectral range 400–710 nm.
Albert-Miquel Sánchez and Jaume Piera
Biogeosciences, 13, 4081–4098, https://doi.org/10.5194/bg-13-4081-2016, https://doi.org/10.5194/bg-13-4081-2016, 2016
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In this paper, several methods for the retrieval of the refractive indices are used in three different examples modeling different shapes and particle size distributions. The error associated with each method is discussed and analyzed. It is finally demonstrated that those inverse methods using a genetic algorithm provide optimal estimations relative to other techniques that, although faster, are less accurate.
Luisa Galgani and Anja Engel
Biogeosciences, 13, 2453–2473, https://doi.org/10.5194/bg-13-2453-2016, https://doi.org/10.5194/bg-13-2453-2016, 2016
G. E. Kim, M.-A. Pradal, and A. Gnanadesikan
Biogeosciences, 12, 5119–5132, https://doi.org/10.5194/bg-12-5119-2015, https://doi.org/10.5194/bg-12-5119-2015, 2015
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Light absorption by colored detrital material (CDM) was included in a fully coupled Earth system model. Chlorophyll and biomass increased near the surface but decreased at greater depths when CDM was included. Concurrently, total biomass decreased leaving more nutrients in the water. Regional changes were analyzed by comparing the competing factors of diminished light availability and increased nutrient availability on phytoplankton growth.
J. A. Gamon, O. Kovalchuck, C. Y. S. Wong, A. Harris, and S. R. Garrity
Biogeosciences, 12, 4149–4159, https://doi.org/10.5194/bg-12-4149-2015, https://doi.org/10.5194/bg-12-4149-2015, 2015
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NDVI and PRI sensors (SRS, Decagon Inc.) exhibited complementary responses during spring photosynthetic activation in evergreen and deciduous stands. In evergreens, PRI was most strongly influenced by changing chlorophyll:carotenoid pool sizes over the several weeks of the study, while it was most affected by xanthophyll cycle pigment activity at the diurnal timescale. These automated PRI and NDVI sensors offer new ways to explore environmental and physiological constraints on photosynthesis.
M. Grenier, A. Della Penna, and T. W. Trull
Biogeosciences, 12, 2707–2735, https://doi.org/10.5194/bg-12-2707-2015, https://doi.org/10.5194/bg-12-2707-2015, 2015
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Four bio-profilers were deployed in the high-biomass plume downstream of the Kerguelen Plateau (KP; Southern Ocean) to examine the conditions favouring phytoplankton accumulation. Regions of very high Chla accumulation were mainly associated with surface waters from the northern KP. Light limitation seems to have a limited influence on production. A cyclonic eddy was associated with a significant export of organic matter and a subsequent dissolved inorganic carbon storage in the ocean interior.
I. Cetinić, M. J. Perry, E. D'Asaro, N. Briggs, N. Poulton, M. E. Sieracki, and C. M. Lee
Biogeosciences, 12, 2179–2194, https://doi.org/10.5194/bg-12-2179-2015, https://doi.org/10.5194/bg-12-2179-2015, 2015
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The ratio of simple optical properties measured from underwater autonomous platforms, such as floats and gliders, is used as a new tool for studying phytoplankton distribution in the North Atlantic Ocean. The resolution that optical instruments carried by autonomous platforms provide allows us to study phytoplankton patchiness and its drivers in the oceanic systems.
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
E. J. D'Sa, J. I. Goes, H. Gomes, and C. Mouw
Biogeosciences, 11, 3225–3244, https://doi.org/10.5194/bg-11-3225-2014, https://doi.org/10.5194/bg-11-3225-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
S. Q. Wang, J. Ishizaka, H. Yamaguchi, S. C. Tripathy, M. Hayashi, Y. J. Xu, Y. Mino, T. Matsuno, Y. Watanabe, and S. J. Yoo
Biogeosciences, 11, 1759–1773, https://doi.org/10.5194/bg-11-1759-2014, https://doi.org/10.5194/bg-11-1759-2014, 2014
S. L. Shang, Q. Dong, C. M. Hu, G. Lin, Y. H. Li, and S. P. Shang
Biogeosciences, 11, 269–280, https://doi.org/10.5194/bg-11-269-2014, https://doi.org/10.5194/bg-11-269-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
X. Zhang, Y. Huot, D. J. Gray, A. Weidemann, and W. J. Rhea
Biogeosciences, 10, 6029–6043, https://doi.org/10.5194/bg-10-6029-2013, https://doi.org/10.5194/bg-10-6029-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
S. B. Hooker, J. H. Morrow, and A. Matsuoka
Biogeosciences, 10, 4511–4527, https://doi.org/10.5194/bg-10-4511-2013, https://doi.org/10.5194/bg-10-4511-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
S. Takao, T. Hirawake, S. W. Wright, and K. Suzuki
Biogeosciences, 9, 3875–3890, https://doi.org/10.5194/bg-9-3875-2012, https://doi.org/10.5194/bg-9-3875-2012, 2012
R. Röttgers and B. P. Koch
Biogeosciences, 9, 2585–2596, https://doi.org/10.5194/bg-9-2585-2012, https://doi.org/10.5194/bg-9-2585-2012, 2012
A. Sadeghi, T. Dinter, M. Vountas, B. Taylor, M. Altenburg-Soppa, and A. Bracher
Biogeosciences, 9, 2127–2143, https://doi.org/10.5194/bg-9-2127-2012, https://doi.org/10.5194/bg-9-2127-2012, 2012
A. Matsuoka, A. Bricaud, R. Benner, J. Para, R. Sempéré, L. Prieur, S. Bélanger, and M. Babin
Biogeosciences, 9, 925–940, https://doi.org/10.5194/bg-9-925-2012, https://doi.org/10.5194/bg-9-925-2012, 2012
B. B. Taylor, E. Torrecilla, A. Bernhardt, M. H. Taylor, I. Peeken, R. Röttgers, J. Piera, and A. Bracher
Biogeosciences, 8, 3609–3629, https://doi.org/10.5194/bg-8-3609-2011, https://doi.org/10.5194/bg-8-3609-2011, 2011
G. Dall'Olmo, E. Boss, M. J. Behrenfeld, T. K. Westberry, C. Courties, L. Prieur, M. Pujo-Pay, N. Hardman-Mountford, and T. Moutin
Biogeosciences, 8, 3423–3439, https://doi.org/10.5194/bg-8-3423-2011, https://doi.org/10.5194/bg-8-3423-2011, 2011
H. Loisel, V. Vantrepotte, K. Norkvist, X. Mériaux, M. Kheireddine, J. Ras, M. Pujo-Pay, Y. Combet, K. Leblanc, G. Dall'Olmo, R. Mauriac, D. Dessailly, and T. Moutin
Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, https://doi.org/10.5194/bg-8-3295-2011, 2011
S. Shang, Q. Dong, Z. Lee, Y. Li, Y. Xie, and M. Behrenfeld
Biogeosciences, 8, 841–850, https://doi.org/10.5194/bg-8-841-2011, https://doi.org/10.5194/bg-8-841-2011, 2011
T. S. Kostadinov, D. A. Siegel, and S. Maritorena
Biogeosciences, 7, 3239–3257, https://doi.org/10.5194/bg-7-3239-2010, https://doi.org/10.5194/bg-7-3239-2010, 2010
F. Nencioli, G. Chang, M. Twardowski, and T. D. Dickey
Biogeosciences, 7, 151–162, https://doi.org/10.5194/bg-7-151-2010, https://doi.org/10.5194/bg-7-151-2010, 2010
A. Morel and B. Gentili
Biogeosciences, 6, 2625–2636, https://doi.org/10.5194/bg-6-2625-2009, https://doi.org/10.5194/bg-6-2625-2009, 2009
Cited articles
Apstein, C.: Das Plankton der Ostsee (Holsatia Expedition 1901). Abhandl. Deutschen Seefischerei – Vereins. VII, 103–129, 1902 (In German).
Bianchi, T. S., Engelhaupt, E., Westman, P., Andren, T., Rolff, C., and Elmgren, R.: Cyanobacterial blooms in the Baltic Sea: natural or human-induced?, Limnol. Oceanogr., 45, 716–726, 2000.
Finni, T., Kononen, K., Olsonen, R., and Wallström, K.: The history of cyanobacterial blooms in the Baltic Sea, Ambio, 30, 172–178, 2001.
Gower, J., Hu, C., Borstad, G., and King, S.: Ocean color satellites show extensive lines of floating Sargassum in the Gulf of Mexico, IEEE Trans. Geoscience Remote Sens., 44, 3619–3625, 2006.
Gower, J. F. R., Doerffer, R., and Borstad, G.: Interpretation of the 685nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS, Int. J. Remote Sens., 20, 1771–1786, 1999.
Gregg, W. W., Casey, N. W., O'Reilly, J. E., and Esaias, W. E.: An empirical approach to ocean color data: Reducing bias and the need for post-launch radiometric re-calibration, Remote Sens. Environ., 113, 1598–1612, 2009.
Groom, S. B. and Holligan, P. M.: Remote sensing of coccolithophore blooms, Adv. Space Res., 7, 73–78, 1987.
Hajdu, S., Höglander, H., and Larsson, U.: Phytoplankton vertical distributions and composition in Baltic Sea cyanobacterial blooms, Harmful Algae, 6, 187–205, 2007.
Horstmann, U.: Eutrophication and mass occurrence of blue-green algae in the Baltic, Merentutkimuslait. Julk./Havsforskningsinst Skr., 239, 83–90, 1975.
Horstmann, U.: Distribution patterns of temperature and water colour in the Baltic Sea as recorded in satellite images: indicators of plankton growth. Berichte Institut für Meereskunde Universität Kiel, 106, 1–147, 1983.
Hovis, W. A., Clark, D. K., Anderson, F., Austin, R. W., Wilson, W. H., Baker, E. T., Ball, D., Gordon, H. R., Mueller, J. L., El-Sayed, S., Sturm, B., Wrigley, R. C., and Yentsch, C. S.: NIMBUS-7 Coastal Zone Color Scanner: System description and initial imagery, Science, 210, 60–63, 1980.
Hu, C., Feng, L., and Lee, Z.: Uncertainties of SeaWiFS and MODIS remote sensing reflectance: Implications from clear water measurements, Rem. Sens. Environ., 133, 168–182, 2013.
Kahru, M.: Using satellites to monitor large-scale environmental change: A case study of cyanobacteria blooms in the Baltic Sea, in: Monitoring algal blooms: New techniques for detecting large-scale environmental change, edited by: Kahru, M. and Brown, C. W., Springer Verlag, Berlin-Heidelberg-New York, 43–61, 1997.
Kahru, M. and Aitsam, A.: Chlorophyll variability in the Baltic Sea: a pitfall for monitoring, J. Cons. int. Explor. Mer., 42, 111–115, 1985.
Kahru, M., Leppänen, J.-M. and Rud, O.: Cyanobacterial blooms cause heating of the sea surface, Mar. Ecol. Prog. Ser., 101, 1–7, 1993.
Kahru, M., Horstmann, U., and Rud, O.: Satellite detection of increased cyanobacteria blooms in the Baltic Sea: Natural fluctuation or ecosystem change?, Ambio, 23, 469–472, 1994.
Kahru, M., Leppänen, J.-M., Rud, O., and Savchuk, O. P.: Cyanobacteria blooms in the Gulf of Finland triggered by saltwater inflow into the Baltic Sea, Mar. Ecol. Prog. Ser., 207, 13–18, 2000.
Kahru, M., Savchuk, O. P., and Elmgren, R.: Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: Interannual and spatial variability, Mar. Ecol. Prog. Ser, 343, 15–23, 2007.
Kidwell, K. B.: NOAA Polar Orbiter Data Users Guide (TIROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, NOAA-10, NOAA-11, NOAA-12, NOAA-14), Washington, DC, Natl. Oc. Atmos. Administrat., 1995.
Kononen, K.: Dynamics of the toxic cyanobacterial blooms in the Baltic Sea, Finnish. Mar. Res., 261, 3–36, 1992.
Kutser, T.: Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing, Limnol. Oceanogr., 49, 2179–2189, 2004.
Larsson, U., Hajdu, S., Walve, J., and Elmgren, R.: Estimating Baltic nitrogen fixation from the summer increase in upper mixed layer total nitrogen, Limnol.Oceanogr., 46, 811–820, 2001.
Liblik, T. and Lips, U.: Spreading of suspended matter in a shallow sea area influenced by dredging activities and variable atmospheric forcing: results of in situ measurements, J. Coast. Res., UK86, 783–788, 2011.
Lucke, R. L., Corson, M., McGlothlin, N. R., Butcher, S. D., Wood, D. L., Korwan, D. R., Li, R. R., Snyder, W. A., Davis, C. O., and Chen, D. T.: Hyperspectral Imager for the Coastal Ocean: instrument description and first images, Appl. Opt., 50, 11, 1501–1516, 2011.
Matthews, M. W., Bernard, S., and Robertson, L.: An algorithm for detecting trophic status (chlorophyll a), cyanobacterial-dominance, surface scums and floating vegetation in inland and coastal waters, Remote Sens. Environ., vol. 124, 637–652, 2012.
Öström, B.: Fertilization of the Baltic by nitrogen-fixation in the blue-green alga Nodularia spumigena, Remote Sens. Environ., 4, 305–310, 1976.
Rantajärvi, E.: Alg@line in 2003: 10 years of innovative plankton monitoring and research and operational information service in the Baltic Sea. Meri – Report Series of the Finnish Institute of Marine Research, 48, 58 pp., 2003.
Rolff, C., Almesjö, L., and Elmgren, R.: Nitrogen fixation and the abundance of the diazotrophic cyanobacterium Aphanizomenon sp. in the Baltic Proper, Mar. Ecol. Prog. Ser., 332, 107–118, 2007.
Seppälä, J., Ylöstalo, P., Kaitala, S., Hällfors, S., Raateoja, M., and Maunula, P.: Ship-of-opportunity based phycocyanin fluorescence monitoring of the filamentous cyanobacteria bloom dynamics in the Baltic Sea, Estuarine, Coast. Shelf Sci., 73, 489–500, 2007.
Simis, S. G. H. and Olsson, J.: Unattended processing of shipborne hyperspectral reflectance measurements, Remote Sens. Environ., 135, 202–212, 2013.
Stumpf, R. P. and Frayer, M. L.: Use of AVHRR imagery to examine long-term trends in water clarity in coastal estuaries: Example in Florida Bay. In: Monitoring algal blooms: New techniques for detecting large-scale environmental change, edited by: Kahru, M. and Brown, C. W., Springer Verlag, Berlin-Heidelberg-New York, 1–24, 1997.
Volten, A. H., Haan, J. F. D., Hovenier, J. W., Schreurs, R., Vassen, W., Dekker, A. G., Hoogenboom, J., Charlton, F., and Wouts, R.: Laboratory Measurements of Angular Distributions of Light Scattered by Phytoplankton and Silt, Limnol. Oceanogr., 43, 1180–1197, 1998.
Walsby, A. E.: Gas vesicles, Microbiol. Rev., 58, 94–144, 1994.
Wasmund, N.: Occurrence of cyanobacterial blooms in the Baltic Sea in relation to environmental conditions, Int. Revue Gesamten Hydrobiol., 82, 169–184, 1997.
Wynne, T. T., Stumpf, R. P., Tomlinson, M. C., Warner, R. A., Tester, P. A., Dyble, J., and Fahnenstiel, G. L.: Relating spectral shape to cyanobacterial blooms in the Laurentian Great Lakes, Int. J. Remote Sens., 29, 3665–3672, 2008.
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