Biblio

Filters: Author is Pozdnyakov, Dmitry  [Clear All Filters]
Report
Durand, D., et al. Characterisation of Inland and Coastal Waters with space sensors. NERSC Technical Report No. 164 (1999).
Pettersson, L.H., Pozdnyakov, D. & Korosov, A. Satellite Earth Observation Atlas for the Kara Sea 1998 - 2004: MAREAS annual report. (2005).
Pettersson, L.H., et al. Validation and improvement of processing algorithms for retrieval of water quality parameters in Norwegian coastal waters. (2008).
Miscellaneous
Lappalainen, H.K., et al. Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China-a Pan-Eurasian Experiment (PEEX) programme perspective. 22, (2022).
Pozdnyakov, D., Gnatiuk, N., Davy, R. & Bobylev, L. The Phenomenon Of Emiliania Huxleyi In Aspects Of Global Climate And The Ecology Of The World Ocean. 14, (2021).
Journal Article
Pozdnyakov, D., Korosov, A., Grassl, H. & Pettersson, L.H. An advanced algorithm for operational retrieval of water quality parameters from satellite data in the visible. International Journal of Remote Sensing 26, 2669-2687 (2005). Download: 01431160500044697.pdf (568.15 KB)
Shuchman, R.A., et al. Alterations of the Lake Michigan System / Water Quality: Evidence Provided by the SeaWiFS Seven-Year Time Series of Observations. Journal of Great Lakes Research 32, (2006).
Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Assessment of Bottom Albedo Impact on the Accuracy of Retrieval of Water Quality Parameters in the Coastal Zone. Earth Observation and Remote Sensing 16, 527-540 (2001).
Korosov, A., et al. BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. I.MODEL DESCRIPTION AND SENSITIVITY/ROBUSTNESS ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2017).
Korosov, A., et al. BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2018).
Kondrik, D., Pozdnyakov, D. & Pettersson, L.H. Coccolithophore blooms at high latitudes as observed from space: Developed methodologies and results of their application. ESA SP SP-740, (2016).
Korosov, A. & Pozdnyakov, D. Fusion of data from Sentinel-2/MSI and Sentinel-3/OLCI. ESA SP SP-740, (2016).
Hessen, D.O., et al. Input of organic carbon as determinant of nutrient fluxes, light climate and productivity in the Ob and Yenisey estuaries. Estuarine, Coastal and Shelf Science 88, 10 (2010). Abstract  Download: Input of organic carbon as determinant of nutrient fluxes, light climate and productivity in the Ob and Yenisey estuaries.pdf (1.7 MB)
Pozdnyakov, D., Korosov, A., Petrova, N.A., Pettersson, L.H. & Grassl, H. Investigation of a “Hysteretic” Nature of Lake Ladoga’s Coming Back from a Mesotrophic State. Earth research from Space 1, 45-59 (2009). Download: IsZem1_09PozdnyakovLO.pdf (334.81 KB)
Pozdnyakov, D., Korosov, A., Pettersson, L.H. & Johannessen, O.M. MODIS evidences the river run-off impact on the Kara Sea trophy. International Journal of Remote Sensing 26, 3641-3648 (2005). Download: 01431160412331330266.pdf (1013.79 KB)
Korosov, A., Moiseev, A., Shuchman, R.A. & Pozdnyakov, D. MODIS-AQUA AND SENTINEL-2 DATA FUSION: APPLICATION TO OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. Труды Карельского научного центра Российской академии наук 3, (2017).
Pozdnyakov, D., Korosov, A., Pettersson, L.H. & Ionov, V.V.V. New algorithm for natural water quality retrieval from spatial data (in Russian). Earth Observation and Remote Sensing 17-29 (2004).
Morozov, E., Korosov, A., Pozdnyakov, D., Pettersson, L.H. & Sychev, V. 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 31, (2010). Abstract  Download: Biscay_algorithm2010.pdf (2.53 MB)
Pozdnyakov, D., Korosov, A., Pettersson, L.H. & Ionov, V.V.V. New operational algorithm of natural water quality retrieval from satellite data. (In Russian). Earth Observation and Remote Sensing (2005).
Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical modelling of transspectral processes in natural waters: implications for remote sensing. International Journal of Remote Sensing 23, 1581-1607 (2002). Download: 014311601170735.pdf (541.15 KB)
Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical modelling of water colour formation in coastal waters. Earth Observation and Remote Sensing, Russian Academy of Science 24-37 (2002).
Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. 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 5, 3-15 (2000).
Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. 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 6, 1-18 (2000).
Pozdnyakov, D., Shuchman, R.A., Korosov, A. & Hatt, C. Operational algorithm for the retrieval of water quality in the Great Lakes. Remote Sensing of the Marine Environment 97, (2005).
Kondrik, D., Pozdnyakov, D. & Pettersson, L.H. Particulate inorganic carbon production within E. huxleyi blooms in subpolar and polar seas: a satellite time series study (1998–2013). International Journal of Remote Sensing 38, (2017).
Nansen Environmental and Remote Sensing Center Logo
Nansen Environmental and Remote Sensing Center
NABIC Logo
Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies
Nansen International Environmental and Remote Sensing Center Logo
Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India Logo
Nansen Environmental Research Center – India
Nansen–Zhu International Research Centre Logo
Nansen–Zhu International Research Centre
Nansen-Tutu Centre for Marine Environmental Research Logo
Nansen-Tutu Centre for Marine Environmental Research