Anton Korosov

Job Position: 
Researcher
Research Group: 
E-mail: 
Phone: 
+47 413 34 568
Anton Korosov Portrait

Research interests

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Retrieval of sea ice drift from Sentinel-1 SAR data (http://www.mdpi.com/2072-4292/9/3/258)

  • Retrieval of sea ice types from SAR data (http://www.the-cryosphere.net/11/33/2017/)

Project leader of the following projects

  1. OC-CCI: The ESA Ocean Colour Climate Change Initiative

Project deputy leader of the following projects

  1. 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
  2. NORMAP: Norwegian Satellite Earth Observation Database for Marine and Polar Research

Publications

My Publications in CRIStin

Peer Review Publications and Books

47 total publications.

2020

  1. Boulze H, Korosov A, Brajard J. Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing. 2020;12(13).
  2. Park J-W, Korosov A, Babiker M, Won J-S, Hansen MW, Kim H-C. Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere. 2020;14(8).

2019

  1. Soldal IH, Dierking WFO, Korosov A, Marino A. Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing. 2019;11(7).
  2. Rampal P, Danserau V, Olason E, Bouillon S, Williams T, Korosov A, et al. On the multi-fractal scaling properties of sea ice deformation. The Cryosphere. 2019;13(9).
  3. Park J-W, Won J-S, Korosov A, Babiker M, Miranda N. Textural noise correction for sentinel-1 TOPSAR cross-polarization channel images. IEEE Transactions on Geoscience and Remote Sensing. 2019;57(6).

2018

  1. Ardhuin F, Aksenov Y, Benetazzo A, Bertino L, Brandt P, Caubet E, et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science. 2018;14(3).
  2. Korosov A, Rampal P, Pedersen LT, Saldo R, Ye Y, Heygster G, et al. A new tracking algorithm for sea ice age distribution estimation. The Cryosphere. 2018;12(6).
  3. Korosov A, Pozdnyakov D, Shuchman R, Sayers M, Sawtell R, Moiseev A. BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук. 2018;3.
  4. Saleem S, Samuelsen A, Korosov A, Menon N, Backeberg B, Pettersson LH. Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences. 2018;15(5).
  5. Park J-W, Korosov A, Babiker M, Sandven S, Won J-S. Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel. IEEE Transactions on Geoscience and Remote Sensing. 2018;56(3).

2017

  1. Gharamti ME, Samuelsen A, Bertino L, Simon E, Korosov A, Daewel U. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. Journal of Marine Systems. 2017;168.
  2. Zakhvatkina N, Korosov A, Muckenhuber S, Sandven S, Babiker M. Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images. The Cryosphere. 2017;11(1).
  3. Korosov A, Rampal P. A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data. Remote Sensing. 2017;9(3).
  4. Pozdnyakov D, Pettersson LH, Korosov A. Exploring the Marine Ecology from Space -experience from Russian-Norwegian cooperation. [Internet]. 2017. Available from: http://www.springer.com/gp/book/9783319300740
  5. Saleem S, Samuelsen A, Korosov A, Menon N, Backeberg B, Pettersson LH. Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences Discussions. 2017;
  6. Boero F, Foglini S, Frachetti P, Goriup E, Macpherson S, Planes T, et al. 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.
  7. Müller M, Batrak Y, Kristiansen J, Køltzow MAØ, Noer G, Korosov A. Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review. 2017;145(12).
  8. Korosov A, Pozdnyakov D, Shuchman RA, Sayers M, Sawtell R, Moiseev A. 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.
  9. Korosov A, Moiseev A, Shuchman RA, Pozdnyakov D. MODIS-AQUA AND SENTINEL-2 DATA FUSION: APPLICATION TO OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. Труды Карельского научного центра Российской академии наук. 2017;3.

2016

  1. Danielson R, Korosov A, Johannessen JA, Raj RP. A regional characterization of the GlobCurrent ocean surface current analysis. ESA SP. 2016;SP-740.

Other Publications

2011

  1. 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. 2011.
  2. Pettersson LH, Korosov A. 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

  1. Pettersson LH, Korosov A, Hamre T, Samuelsen A. 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
  2. Korosov A, Pettersson LH. 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
  3. Pozdnyakov D, Morozov E, Korosov A, Pettersson LH. 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

2009

  1. Pozdnyakov D, Korosov A, Petrova NA, Pettersson LH, Grassl H. 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
  2. Pettersson LH, Hamre T, Korosov A, Allen AR, Sputh BHC, Faust O. Integrated remote sensing and in situ monitoring for water risk management. Environmental Risk Management tools for water quality monitoring. 2009;
  3. Zakhvatkina NY, Alexandrov V, Korosov A, Johannessen OM. 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.
  4. Pettersson LH, Hamre T, Korosov A, Allen AR, Sputh BHC, Faust O. Integrated remote sensing and in situ monitoring for water risk management. 33rd International Symposium on Remote Sensing of Environment (ISRSE). 2009;
  5. Morozov E, Korosov A, Pozdnyakov D, Sychov VI. 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;
  6. Morozov E, Korosov A, Pozdnyakov D. 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;
  7. Korosov A, Morozov E, Pozdnyakov D, Pettersson LH, Grassl H. Spaceborn identification and mapping of Coccolithophorid blooms in the Bay of Biscay (in Russian). Earth observation and remote sensing. 2009;:67-78.
  8. Zakhvatkina NY, Alexandrov V, Korosov A, Frolov IYe, Johannessen OM. Automated recognition of sea ice types from SAR images. Atmospheric radiation and dynamics (MSARD-2009). 2009;:pp. 25-26.

2008

  1. Pettersson LH, Dagestad K-F, Johannessen J, Korosov A, Kudryavtsev VN, Miassoedov A. Sensor synergies exploiting ENVISAT for coastal and ocean monitoring. 2008.
  2. Pettersson LH, Hamre T, Korosov A, Babiker M, Wang Y, Dagestad K-F. D.16: Satellite products delivered in digital format for the project network. 2008.
  3. Pozdnyakov D, Grassl H, Pettersson LH, Korosov A, Neelov IA, Gordeyev VV, 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;
  4. Pettersson LH, Korosov A, Pozdnyakov D, Wang YY, Sørensen K, Folkestad A. Validation and improvement of processing algorithms for retrieval of water quality parameters in Norwegian coastal waters. 2008.
  5. Korosov A, Pozdnyakov D, Pettersson LH. 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;

2007

  1. Korosov A, Pozdnyakov D, Pettersson LH, Grassl H. Synergistic remote sensing of harmful algae blooms in the Baltic Sea.(CD-ROM). the 5th Conference “Spaceborne Earth Remote Sensing”. 2007;
  2. Korosov A, Pozdnyakov D, Pettersson LH, Grassl H. 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;
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