Influence of the vertical distribution of cyanobacteria in the water column on the remote sensing signal

Estuarine, Coastal and Shelf Science

Volumn 78, Issue 4, 2008, Pages 649-654

  Kutser, Tiit ^a   Metsamaa, Liisa ^a,b   Dekker, Arnold G ^b  

^a UNIVERSITY OF TARTU   (Estonia)

^b CSIRO   (Australia)

Author keywords

cyanobacteria; modelling; remote sensing; vertical distribution

Indexed keywords

ALGAL BLOOM; BIOMASS; CYANOBACTERIUM; ENVIRONMENTAL MONITORING; MAPPING METHOD; MODELING; RADIATIVE TRANSFER; REMOTE SENSING; SIGNAL; VERTICAL DISTRIBUTION; WATER COLUMN;

ALGAE; CYANOBACTERIA;

EID: 44349176396     PISSN: 02727714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecss.2008.02.024     Document Type: Article

References (34)

1. Brando V.E., and Dekker A.G. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 1378-1387
2. Bukata R.P., Jerome J.H., Kondratyev K.Y., and Pozdnyakov D.V. Optical Properties and Remote Sensing of Inland and Coastal Waters (1995), CRC Press, Boca Raton, FL
3. Dall'Olmo G., and Gitelson A.A. Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results. Applied Optics 45 (2006) 3577-3598
4. Darecki M., and Stramski D. An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea. Remote Sensing of Environment 89 (2004) 326-350
5. Defoin-Platel M., and Chami M. How ambiguous is the inverse problem of ocean color in coastal waters?. Journal of Geophysical Research 112 (2007) 10.1029/2006JC003847 C03004
6. Dekker, A.G., Malthus, T.J., Goddijn, L.M., 1992. Monitoring cyanobacteria in eutrophic waters using airborne imaging spectroscopy and multispectral remote sensing systems, in: Proceedings of the 6th Australasian Remote Sensing Conference, Wellington, New Zealand, pp. 204-214.
7. Gitelson A., Garbuzov G.F., Szilagyi G., Mittenzwey K.-H., Karneli A., and Kaiser A. Quantitative remote sensing methods for real-time monitoring of inland water quality. International Journal of Remote Sensing 7 (1993) 1269-1295
8. Gordon H.R., and Clark D.K. Remote sensing optical properties of a stratified ocean: an improved interpretation. Applied Optics 19 (1980) 598-600
9. Gower J.F.R., Doerffer R., and Borstad G.A. Interpretation of the 685 nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS. International Journal of Remote Sensing 20 (1999) 1771-1786
10. Hajdu S., Höglander H., and Larsson U. Phytoplankton vertical distributions and composition in the Baltic Sea cyanobacterial blooms. Harmful Algae 6 (2007) 189-205
11. Joint I., and Groom B. Estimation of phytoplankton production from space: current status and future potential of satellite remote sensing. Journal of Experimental Marine Biology and Ecology 250 (2000) 233-255
12. Jupp D.L.B., Kirk J.T.O., and Harris G.P. Detection, identification and mapping of cyanobacteria - using remote sensing to measure the optical quality of turbid inland waters. Australian Journal of Marine and Freshwater Research 45 (1994) 801-828
13. Kahru M. Using satellites to monitor large-scale environmental change in the Baltic Sea. In: Kahru M., and Brown C.W. (Eds). Monitoring Algal Blooms: New Techniques for Detecting Large-Scale Environmental Change (1997), Springer-Verlag, Berlin 43-61
14. Kahru M., Leppänen J.-M., and Rud O. Cyanobacterial blooms cause heating of the sea surface. Marine Ecology Progress Series 101 (1993) 1-7
15. Kallio K., Kutser T., Hannonen T., Koponen S., Pulliainen J., Vepsäläinen J., and Pyhälahti T. Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons. Science of the Total Environment 268 (2001) 59-77
16. Kutser T. Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing. Limnology and Oceanography 49 (2004) 2179-2189
17. Kutser T., Arst H., Mäekivi S., Leppänen J.-M., and Blanco A. Monitoring of algae blooms by optical remote sensing. In: Spiteri A. (Ed). Remote Sensing '96 (1997), Balkema, Rotterdam 161-166
18. Kutser T., Dekker A.G., and Skirving W. Modelling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments. Limnology and Oceanography 48 (2003) 497-510
19. Kutser T., Metsamaa L., Strömbeck N., and Vahtmäe E. Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine, Coastal and Shelf Science 67 (2006) 303-312
20. Metsamaa L., Kutser T., and Strömbeck N. Recognising cyanobacterial blooms based on their optical signature: a modelling study. Boreal Environment Research 11 (2006) 493-506
21. Mobley C.D., and Sundman L.K. Hydrolight 4.2 Users' Guide (2001), Sequoia Scientific, Inc., Redmond, WA
22. Neville R.A., and Gower J.F.R. Passive remote sensing of phytoplankton via chlorophyll a fluorescence. Journal of Geophysical Research 82 (1977) 3487-3493
23. Paerl H.W., and Ustach J.F. Blue-green algal scums: an explanation for their occurrence during freshwater blooms. Limnology and Oceanography 27 (1982) 212-217
24. Reinart A., and Kutser T. Comparison of different satellite sensors in detecting cyanobacterial bloom events in the Baltic Sea. Remote Sensing of Environment 102 (2006) 74-85
25. 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. Coastal and Shelf Science 73 (2007) 489-500
26. Siegel H., Gerth M., Neumann T., and Doerffer R. Case studies on phytoplankton blooms in coastal and open waters of the Baltic Sea using Coastal Zone Colour Scanner data. International Journal of Remote Sensing 20 (1999) 1249-1264
27. Simis S.G.H., Ruiz-Verdu A., Domingues-Gomez J.A., Pena-Martinez R., Peters S.W.M., and Gons H.J. Influence of phytoplankton pigment composition on remote sensing of cyanobacterial biomass. Remote Sensing of Environment 106 (2007) 414-427
28. Sellner K.G. Physiology, ecology, and toxic properties of marine cyanobacteria blooms. Limnology and Oceanography 42 (1997) 1089-1104
29. Sivonen K., Kononen K., Carmichael W.W., Dahlem A.M., Rinehart K.L., Kiviranta J., and Niemelä S.I. Occurrence of the hepatoxic cyanobacterium Nodularia spumigena in the Baltic Sea and the structure of the toxin. Applied Environmental Microbiology 55 (1989) 1990-1995
30. Smith R.C., and Baker K.S. Optical properties of the clearest natural waters (200-800 nm). Applied Optics 20 (1981) 177-184
31. Stramska M., and Stramski D. Effects of non-uniform vertical profile of chlorophyll concentration on remote-sensing reflectance of the ocean. Applied Optics 44 (2005) 1735-1747
32. Svejkovsky J., and Shandley J. Detection of offshore plankton blooms with AVHRR and SAR imagery. International Journal of Remote Sensing 22 (2001) 471-485
33. Vepsäläinen J., Pyhälahti T., Rantajärvi E., Kallio K., Pertola S., Stipa T., Kiiriki M., Pullianen J., and Seppälä J. The combined use of optical remote sensing data and unattended flow-through fluorometer measurements in the Baltic Sea. International Journal of Remote Sensing 26 (2005) 261-282
34. Wettle, M., Brando, V.E., 2006. SAMBUCA Semi-analytical model for bathymetry, un-mixing and concentration assessment. CSIRO Land and Water Science Report 22/26, 21 pp. (http://www.clw.csiro.au/publications/science/2006/sr22-06.pdf).