Biblio
Filters: Author is Pozdnyakov, Dmitry [Clear All Filters]
. 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
. 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.
. Assessment of Bottom Albedo Impact on the Accuracy of Retrieval of Water Quality Parameters in the Coastal Zone. Earth Observation and Remote Sensing. 2001;16:527-540.
. 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
. 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
. MODIS evidences the river run-off impact on the Kara Sea trophy. International Journal of Remote Sensing [Internet]. 2005;26:3641-3648. Available from: http://dx.doi.org/10.1080/01431160412331330266
. New algorithm for natural water quality retrieval from spatial data (in Russian). Earth Observation and Remote Sensing. 2004:17-29.
. 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
. New operational algorithm of natural water quality retrieval from satellite data. (In Russian). Earth Observation and Remote Sensing. 2005.
. Numerical modelling of transspectral processes in natural waters: implications for remote sensing. International Journal of Remote Sensing [Internet]. 2002;23:1581-1607. Available from: http://dx.doi.org/10.1080/014311601170735
. Numerical modelling of water colour formation in coastal waters. Earth Observation and Remote Sensing, Russian Academy of Science. 2002:24-37.
. Numerical simulations of transspectral interactions (TI) of light with aquatic medium. I. Impact of TI on the spectral distribution of upwelling radiance. Earth Observation and Remote Sensing. 2000;5:3-15.
. Numerical simulations of transspectral interactions(TI) of light with aquatic medium. II. Impact of TI on the water quality retrieval accuracy. Earth Observation and Remote Sensing. 2000;6:1-18.
. Operational algorithm for the retrieval of water quality in the Great Lakes. Remote Sensing of the Marine Environment. 2005;97.
. Remote sensing assessment of phytoplankton primary productivity: Methodological Aspects. Earth Observation and Remote Sensing. 2001;16:527-540.
. 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 derived multi-year trend in primary production in the Arctic Ocean. International Journal of Remote Sensing and Remote Sensing Letters. In Press.
. Satellite evidence of ecosystem changes in the White Sea: A semi-enclosed arctic marginal shelf sea. Geophys. Res. Lett. 2007;34.
. SeaWiFS maps of water quality parameters in the White Sea. International Journal of Remote Sensing [Internet]. 2003;24:4065-4071. Available from: http://www.tandfonline.com/doi/abs/10.1080/01431160210163164
. 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
. Spaceborn identification and mapping of Coccolithophorid blooms in the Bay of Biscay (in Russian). Earth observation and remote sensing. 2009:67-78.



