Anton Korosov

Research interests
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Development of the BOREALI algorithm for the retrieval of water quality parameters from the optical remote sensing data. The algorithm (realized in C++ and Python) applies the Levenberg – Marquardt multivariate optimization procedure and neural networks for retrieving the concentrations of chlorophyll–a, suspended minerals, dissolved organic carbon, coccoliths or other water constituents from input values of water leaving reflectance. The approach is based on a hydro-optical model, encompassing a set of spectral cross sections of inherent optical properties of water constituents. The algorithm can be applied in optically shallow waters if bathymetry is known.
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Development of the NANSAT software package (https://github.com/nansencenter/nansat) for processing 2D satellite Earth observation data for easy development and testing of scientific algorithms, analysis and visualization of geospatial data and efficient operational processing.
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Development of a near real time water quality monitoring system for a number of areas including the Nordic Seas, Waters of Central America, Black and Caspian Seas (http://hab.nersc.no). The system automatically downloads satellite data from ESA or NASA rolling archives. The obtained raw satellite images are reprojected; processed with the developed retrieval algorithms and visualized as JPG and PNG files via PHP-based interface.
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Analysis of temporal dynamics of water quality in large lakes (Lake Michigan, Lake Erie, Lake Ladoga) with regard to river discharge dynamics, wind and mixing intensity, thermobar phenomenon, water pollution and man induced eutrophication.
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Studying phytoplankton phenology in the Nordic Seas using remote sensing and modeling for identification of main driving physical factors and influence on higher trophic levels: zoo-plankton and fish larvae.
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Studying estuarine processes in Arctic and Equatorial rivers for estimation of dissolved organic carbon (DOC) fluxes, DOC dilution and degradation processes using optical (MODIS) and passive microwave (SMOS) satellite data on ocean color and sea surface salinity.
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Retrieval of sea ice drift from Sentinel-1 SAR data (http://www.mdpi.com/2072-4292/9/3/258)
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Retrieval of sea ice types from SAR data (http://www.the-cryosphere.net/11/33/2017/)
Project leader of the following projects
Project deputy leader of the following projects
Publications
Peer Review Publications and Books
2020
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Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing. 2020;12(13)..
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Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere. 2020;14(8)..
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Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 2020;13(1).
2019
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Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing. 2019;11(7)..
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On the multi-fractal scaling properties of sea ice deformation. The Cryosphere. 2019;13(9).
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Textural noise correction for sentinel-1 TOPSAR cross-polarization channel images. IEEE Transactions on Geoscience and Remote Sensing. 2019;57(6)..
2018
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Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel. IEEE Transactions on Geoscience and Remote Sensing. 2018;56(3)..
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A new tracking algorithm for sea ice age distribution estimation. The Cryosphere. 2018;12(6).
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BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук. 2018;3..
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Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences. 2018;15(5)..
2017
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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. 2017;3..
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MODIS-AQUA AND SENTINEL-2 DATA FUSION: APPLICATION TO OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. Труды Карельского научного центра Российской академии наук. 2017;3..
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Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images. The Cryosphere. 2017;11(1)..
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Exploring the Marine Ecology from Space -experience from Russian-Norwegian cooperation. [Internet]. 2017. Available from: http://www.springer.com/gp/book/9783319300740.
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Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences Discussions. 2017;.
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CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT SCIentific RESearch and Information Technology. 2017;6.
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Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review. 2017;145(12)..
Other Publications
2011
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Tidspunkt for våroppblomstring [Internet]. miljøstatus.no. 2011;Available from: http://www.miljostatus.no/no/Tema/Hav-og-vann/havomrader/Barentshavet/Indikatorer-barentshavet/indikator-tidspunkt-for-varoppblomstring/.
2010
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Observation of Multi-Year Spatial Dynamics of Biogeochemical Variables in the Bay of Biscay from Space [Internet]. ESA Living Planet Symposium. 2010;Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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Integrated Monitoring and Forecasting of Harmful Algae Bloom Events in Coastal Waters [Internet]. In: ESA Living Planet Symposium. Bergen, June 28 - July 2, 2010: 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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Detection of Decadal Cimate Change Based on Consistent Satellite Observation of the Nordic Seas Aquatic Ecosystem [Internet]. ESA Living Planet Symposium. 2010;Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
2009
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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.
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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”. 2009;:pp. 373 - 379..
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Integrated remote sensing and in situ monitoring for water risk management. 33rd International Symposium on Remote Sensing of Environment (ISRSE). 2009;.
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Spaceborn identification and mapping of Coccolithophorid blooms in the Bay of Biscay (in Russian). Earth observation and remote sensing. 2009;:67-78..
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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;.
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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;.
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Automated recognition of sea ice types from SAR images. Atmospheric radiation and dynamics (MSARD-2009). 2009;:pp. 25-26..
2008
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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;.
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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;
2007
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Satellite evidence of ecosystem changes in the White Sea: A semi-enclosed arctic marginal shelf sea. Geophys. Res. Lett. 2007;34..
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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;.