Biblio
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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 6, (2017).
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).
Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing 12, (2020).
Ocean Eddy Signature on SAR-Derived Sea Ice Drift and Vorticity. Geophysical Research Letters 48, (2021).
A regional characterization of the GlobCurrent ocean surface current analysis. ESA SP SP-740, (2016).
A dedicated synergistic study of the White Sea based on remote sensing, in situ determinations and biogeoecological simulations. the 31st International Symposium on Remote Sensing of Environment (2005).
An analytical Case 2 water algorithm for the North Sea. 31st International Symposium on Remote Sensing of Environment. St. Petersburg, Russia, June 20-24, 2005 (2005).
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
Improved measurements of sea surface velocity from Envisat ASAR and Sentinel-1. ESA SP SP-740, (2016).
The Nansen-Cloud: a Scientific Platform as a Service for the Nansen Group. Proceedings of 2016 conference on Big Data from Space (BiDS'16) (2016).at <http://publications.jrc.ec.europa.eu/repository/handle/JRC100655> Abstract
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)
MODIS-AQUA AND SENTINEL-2 DATA FUSION: APPLICATION TO OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. Труды Карельского научного центра Российской академии наук 3, (2017).
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).
Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments. Algorithms 2, 470-497 (2009). Abstract
Download: algorithms-02-00470.pdf (809.37 KB)
Synergistic remote sensing of harmful algae blooms in the Baltic Sea.(CD-ROM). the 5th Conference “Spaceborne Earth Remote Sensing” (2007).
Spaceborne quantitative assessment of dissolved organic carbon fluxes in the Kara Sea. Advances in Space Research 50, (2012). Abstract
Very high resolution classification of Sentinel-1A data using segmentation and texture analysis. ESA SP SP-740, (2016).
BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2018).