Biblio

Filters: Author is Anton Korosov  [Clear All Filters]
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Zakhvatkina, N.Y., Alexandrov, V., Korosov, A., Frolov, I.Ye & Johannessen, O.M. Automated recognition of sea ice types from SAR images. Atmospheric radiation and dynamics (MSARD-2009) pp. 25-26. (2009).
Zakhvatkina, N.Y., Alexandrov, V., Korosov, A. & Johannessen, O.M. Sea ice classification from ENVISAT SAR images. Proceedings of the scientific papers of the 7th all-Russian annual conference “Contemporary problems of remote sensing of the Earth from space” pp. 373 - 379 (2009).
Zakhvatkina, N., Korosov, A., Muckenhuber, S., Sandven, S. & Babiker, M. Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images. The Cryosphere 11, (2017).
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Vines, A., et al. NANSAT - a scientist friendly Python toolbox for processing 2D satellite EO and model raster data. (2016).doi:10.2788/854791 Abstract
Vines, A., Korosov, A., Hansen, M.W., Yamakawa, A. & Olaussen, T. NANSAT - A scientist friendly Pyathon toolbox for prosessing 2D satellite EO and Model Raster Data. ESA SP SP740, (2016).
Vikebø, F.B., Korosov, A., Stenevik, E.K., Husebø, Å. & Slotte, A. Spatio-temporal overlap of hatching in Norwegian spring-spawning herring and the spring phytoplankton bloom at available spawning substrata. ICES Journal of Marine Science 69, (2012).
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Soldal, I.H., Dierking, W.F.O., Korosov, A. & Marino, A. Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing 11, (2019).
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).
Shuchman, R.A., et al. Verification and application of a Bio-optical Algorithm for Lake Michigan Using SeaWiFS: a 7-year Inter-annual Analysis. Great Likes Res 32, (2006).
Sandven, S., Dagestad, K.-F., Babiker, M. & Korosov, A. MAREBASE (Maritime Resources of the Barents Sea: Satellite data driven monitoring in the context of increase of commercial efficiency of the fishery) final report. NERSC Tech.Rep. (2011).
Sandven, S., Johannessen, J., Korosov, A. & Kloster, K. Svalbard Integrated Arctic Earth Observing System (SIOS): Assessment of research areas with great EO support potential. SIOS Deliverable D7.1. NERSC Technical report 104 (2011).
Sandven, S., Korosov, A., Kloster, K. & Johannessen, J. SIOS Remote Sensing Strategy: Assessment of reserch areas with great EO support potential. NERSC Technical Report 104 (2011).
Saleem, S., et al. Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences 15, (2018).
Saleem, S., et al. Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences Discussions (2017).doi:10.5194/bg-2017-285
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Rampal, P., et al. On the multi-fractal scaling properties of sea ice deformation. The Cryosphere 13, (2019).
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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).
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).
Pozdnyakov, D., Pettersson, L.H. & Korosov, A. Exploring the Marine Ecology from Space -experience from Russian-Norwegian cooperation. 215 (2017).at <http://www.springer.com/gp/book/9783319300740>
Pozdnyakov, D., Korosov, A., Petrova, N.A. & Grassl, H. Multi-year satellite observations of Lake Ladoga's biogeochemical dynamics in relation to the lake's trophic status. Journal of Great Lakes research 39, (2013).
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., Korosov, A. & Pettersson, L.H. Visible and infrared remote sensing of the White Sea Bio-Geo-Chemistry and Hydrology. Remote Sensing of the European Seas 129-140 (2008).at <http://www.springerlink.com.pva.uib.no/content/w2j131575v6t43l6/> Abstract
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).
Pozdnyakov, D., et al. Satellite evidence of ecosystem changes in the White Sea: A semi-enclosed arctic marginal shelf sea. Geophys. Res. Lett. 34, (2007).
Pozdnyakov, D., et al. 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).
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).
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