Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 3, pp. 158-170

Spectral features of cyanobacterial bloom in the Baltic Sea from MODIS data

G.S. Karabashev1 , M.A. Evdoshenko1 
1 P.P. Shirshov Institute of Oceanology RAS, Moscow, Russia
The spectral features of cyanobacteria blooms in the Baltic Sea are examined based on the MODIS data reprocessed in 2009–2010. For reference, we used the data of same sensor acquired in the Black Sea during the most powerful blooming of coccolithophores in the Black Sea in 2012. They are deprived of accessory pigments of cyanobacteria, and surpass the latter in intensity of manifestations of blooming in the field of the backscattered solar radiation. The aquatic areas and time of satellite observations has been chosen according to published results of determinations of phytoplankton abundance in the upper layer of the seas. In addition to the estimates of spectral reflectance Rrs of water surface, two derivative characteristics served as new satellite indicators of blooms: the color index Cx = 100×Rrs(667)/Rrs(555)% as an index of steepness of the longwave wing of the Rrs spectrum and the estimates of wavelength Lmax of maximum Rrs calculated by means of cubic spline interpolation of Rrs at wavelengths 469, 488, 531, 547, and 555 nm. The variability of these characteristics was compared during blooms in the Black and Baltic Seas on equal spatial scales at Rrs levels of one and the same range. Classification of Rrs spectra using the K-means method was applied to reveal the relation of their shape and amplitude to the development of blooming. We demonstrate that the reflectance spectrum of the Baltic Sea exhibits changes during the cyanobacterial bloom which are hypothetically due to the accessory pigments of cyanobacteria and/or to the excretion of dissolved organic matter by the latter. The specificity of these changes is corroborated by the fact that they are lacking in the case of bloom of the coccolithophores. Possibilities of remote diagnostics of cyanobacteria blooms on the basis of spectral effects discovered are discussed.
Keywords: cyanobacterial blooming, Baltic Sea, reflectance spectrum, MODIS
Full text

References:

  1. Aivazyan S.A., Bukhtshtaber V.M., Enyukov I.S., Meshalkin L.D. Prikladnaya statistika: Klassifikatsiya i snizhenie razmernosti (Applied statistics: Classification and dimensionality reduction), Moscow: Finansy i statistika, 1989, p. 607.
  2. Vershinin A.O., Orlova T.Yu. Toksichnye i vrednye vodorosli v pribrezhnykh vodakh Rossii (Toxic and harmful algae in coastal waters of Russia), Okeanologiya, 2008, Vol. 48, No. 4, pp. 568–582.
  3. Karabashev G.S., Evdoshenko M.A. Izmenchivost' iyun'skogo maksimuma koeffitsienta yarkosti Chernogo morya po sputnikovym dannym dekadnoi dlitel'nosti (Variability of the June reflectance maximum in the Black Sea according to decadal satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 3, pp. 28–41.
  4. Karabashev G.S., Evdoshenko M.A. O sezonnoi izmenchivosti maksimuma spektra koeffitsienta yarkosti Chernogo morya po sputnikovym dannym (On the seasonality of the wavelength maximum of reflectance spectrum of the Black Sea according to satellite Data), Okeanologiya, 2015, Vol. 55, No. 2, pp. 182–191.
  5. Yasakova O.N., Stanichnyi S.V. Anomal'noe tsvetenie Emiliania huxleyi (Prymnesiophyceae) v Chernom more v 2012 g. (Anomalous blooming of Emiliania huxleyi (Prymnesiophyceae) in the Black Sea in 2012), Mors'kii ekologіchnii zhurnal, 2012, Vol. 11, No. 4, p. 54.
  6. Aiken J. Fluorometry for biological sensing, Encyclopedia of Ocean Sciences, Waltham: Academic Press, 2001, pp. 1073–1081.
  7. Hirschberg J., Chamowitz D. Carotenoids in Cyanobacteria, The Molecular Biology of Cyanobacteria, Dordrecht: Kluwer Academic Publishers, 1994, pp. 559–579.
  8. M. Kahru M., Savchuk O.P., Elmgren R., Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: interannual and spatial variability, Marine Ecology Progress Series, 2007, Vol. 343, pp. 15–23, doi: 10.3354/meps06943.
  9. Karabashev G.S., Evdoshenko M.A., Sheberstov S.V. Normalized radiance spectrum as a water exchange event diagnostic, International Journal of Remote Sensing, 2006, Vol. 27, No. 9–10, pp. 1775–1792.
  10. Kutser T. Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing, Limnol. Oceanogr., 2004, Vol. 49, No. 6, pp. 2179–2189.
  11. Stal L.J., Albertano P., Bergman B., von Broeckel K., Gallon J.R., Hayes P.K., Sivonen K., Walsby A.E. BASIC: Baltic Sea cyanobacteria. An investigation of the structure and dynamics of water blooms of cyanobacteria in the Baltic Sea - responses to a changing environment, Continental Shelf Research, 2003, Vol. 23, No. 17–19, pp. 1695–1714.
  12. Tyrrell T., Schneider B., Charalampopoulou A., Riebesell U. Coccolithophores and calcite saturation state in the Baltic and Black Seas, Biogeosciences, 2008, Vol. 5, No. 2, pp. 485–494.
  13. Vazyulya S., Khrapko A., Kopelevich O., Burenkov V., Eremina T., Isaev A. Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data, Okeanologiya, 2014, Vol. 56, No. 4, pp. 737–756.
  14. Wasmund N., Busch S., Gromisz S., Höglander H., Jaanus A., Johansen V., Jurgensone I., Karlsson C., Kownacka J., Kraśniewski W., Olenina I. Cyanobacteria biomass, HELCOM Baltic Sea Environment Fact Sheet, 2013, Online 17–Feb–15, http://www.helcom.fi/baltic-seatrends/environment-fact-sheets/.