Biblio

Filters: Author is Anton Korosov  [Clear All Filters]
2019
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).
Rampal, P., et al. On the multi-fractal scaling properties of sea ice deformation. The Cryosphere 13, (2019).
2018
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).
Saleem, S., et al. Delineation of marine ecosystem zones in the northern Arabian Sea using an objective method. Biogeosciences 15, (2018).
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 56, (2018).
Ardhuin, F., et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science 14, (2018).
Korosov, A., et al. A new tracking algorithm for sea ice age distribution estimation. The Cryosphere 12, (2018).
2017
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).
Müller, M., et al. Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review 145, (2017).
Boero, F., 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 6, (2017).
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 9, (2017).
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
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>
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).
Gharamti, M.E., et al. 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 168, (2017). Abstract
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).
2016
Boero, F., 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 6, (2016).
Korosov, A. & Pozdnyakov, D. FUSION OF DATA FROM SENTINEL-2/MSI AND SENTINEL-3/OLCI. (2016).
Korosov, A. & Pozdnyakov, D. Fusion of data from Sentinel-2/MSI and Sentinel-3/OLCI. ESA SP SP-740, (2016).
Johannessen, J.A., et al. Globcurrent: Multisensor synergy for surface current estimation. ESA SP SP-740, (2016).
Hansen, M.W., Engen, G., Johnsen, H., Johannessen, J. & Korosov, A. Improved measurements of sea surface velocity from Envisat ASAR and Sentinel-1. ESA SP SP-740, (2016).
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).
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
Korosov, A., et al. Nansat: a Scientist-Orientated Python Package for Geospatial Data Processing. Journal of Open Research Software (JORS) 4, (2016). Abstract
Hansen, M.W., Korosov, A., Vines, A., Olaussen, T. & Hamre, T. The Nansen-Cloud: a Scientific Platform as a Service for the Nansen Group. (2016).at <http://publications.jrc.ec.europa.eu/repository/handle/JRC100655> Abstract
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