Biblio
Filters: Author is Pozdnyakov, Dmitry [Clear All Filters]
. Monitoring of Harmfull Algal Blooms.; In Press p. 300.
. Optical monitoring of phytoplankton bloom pigment signatures. In: Phytoplankton Pigments: Characterization, Chemotaxonomy and Applications in Oceanography. Phytoplankton Pigments: Characterization, Chemotaxonomy and Applications in Oceanography. ; 2011. p. 784. Available from: http://www.cambridge.org/aus/catalogue/catalogue.asp?isbn=9781107000667
. Input of organic carbon as determinant of nutrient fluxes, light climate and productivity in the Ob and Yenisey estuaries. Estuarine, Coastal and Shelf Science [Internet]. 2010;88:10. Available from: www.elsevier.com/locate/ecss Abstract
. A new area-specific bio-optical algorithm for the Bay of Biscay and assessment of its potential for SeaWiFS and MODIS/Aqua data merging. International Journal of Remote Sensing [Internet]. 2010;31. Available from: http://dx.doi.org/10.1080/01431161.2010.508802 Abstract
. MODIS-reveals green dinoflagellate blooms in the English Channel and the Bay of Biscay: identification algorithms and spatio-temporal analyses of the phenomenon. In: Oceans from Space Symposium. Oceans from Space Symposium. 23-26 April 2010, Venice, Italy; 2010. p. .
. Observation of Multi-Year Spatial Dynamics of Biogeochemical Variables in the Bay of Biscay from Space. ESA Living Planet Symposium [Internet]. 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html Abstract
. Investigation of a “Hysteretic” Nature of Lake Ladoga’s Coming Back from a Mesotrophic State. Earth research from Space [Internet]. 2009;1:45-59. Available from: http://www.maik.ru/cgi-perl/journal.pl?lang=eng&name=iszem
. Seasonal dynamics of the phenomenon of massive Emiliania huxleyi blooms across the Bay of Biscay as revealed from space. Proceedings of the 33rd International Symposium on Remote Sensing of Environment (ISRSE). 2009.
. Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments. Algorithms [Internet]. 2009;2:470-497. Available from: http://www.mdpi.com/1999-4893/2/1/470 Abstract
. On the compatibility of SeaWiFS, MODIS and MERIS data on case II waters with the Bay of Biscay as an example. Abstracts of the 7th all-Russian annual conference “Contemporary problems of remote sensing of the Earth from space”. 2009.
. The potentials for bridging of SeaWiFS and MODIS ocean colour data on the Bay of Biscay. “ Radiation in the Atmosphere and Dynamics” (МСАРД-2009). 2009.
. Spaceborn identification and mapping of Coccolithophorid blooms in the Bay of Biscay (in Russian). Earth observation and remote sensing. 2009:67-78.
. Visible and infrared remote sensing of the White Sea Bio-Geo-Chemistry and Hydrology. In: Remote Sensing of the European Seas. Remote Sensing of the European Seas. ; 2008. p. 129-140. Available from: http://www.springerlink.com.pva.uib.no/content/w2j131575v6t43l6/ Abstract
. A spaceborne assessment of riverine doc flux into the Kara Sea. Proceedings of 2008 Ocean Sciences Meeting From the Watershed to the Global Ocean , Orlando, USA, 2-7 March 2008 (on CD). 2008.
. A synergistic assessment of carbon fluxes into and through the Kara Sea. Abstracts of SCAR/IASC IPY Open Conference, St. Petersburg, Russia, 8-11 July 2008, p. 235. 2008.
. Near Real-Time Algal Bloom and Water Quality Monitoring Services for the North Sea. (CD-ROM). the 3rd International Conference “The Earth from space: the most effective solutions”. 2007.
. Satellite data based study of seasonal and spatial variations of water temperature and water quality parameters in Lake Ladoga. J. Appl. Remote Sens. 2007;1.
. Satellite evidence of ecosystem changes in the White Sea: A semi-enclosed arctic marginal shelf sea. Geophys. Res. Lett. 2007;34.
. Synergistic remote sensing of harmful algae blooms in the Baltic Sea.(CD-ROM). the 5th Conference “Spaceborne Earth Remote Sensing”. 2007.
. Synergistic Remote Sensing of harmful algal blooms in the Baltic sea. the Fifth All-Russian Conference “Present-day Problems of Remote Sensing of the Earth from Space”. 2007.
. Alterations of the Lake Michigan System / Water Quality: Evidence Provided by the SeaWiFS Seven-Year Time Series of Observations. Journal of Great Lakes Research. 2006;32.
. An advanced algorithm for operational retrieval of water quality parameters from satellite data in the visible. International Journal of Remote Sensing [Internet]. 2005;26:2669-2687. Available from: http://dx.doi.org/10.1080/01431160500044697




