Biblio
Filters: Author is Anton Korosov [Clear All Filters]
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).
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).
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
Synergistic remote sensing of harmful algae blooms in the Baltic Sea.(CD-ROM). the 5th Conference “Spaceborne Earth Remote Sensing” (2007).
Spaceborn identification and mapping of Coccolithophorid blooms in the Bay of Biscay (in Russian). Earth observation and remote sensing 67-78 (2009).
Realization of a Dedicated Synergistic Study of Onega Bay of the White Sea Based on Spaceborne, Shipborne and Ecological Means. the 8th International Conference on Remote Sensing for Marine and Coastal Environments (2005).
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).
Nansat: a Scientist-Orientated Python Package for Geospatial Data Processing. Journal of Open Research Software (JORS) 4, (2016). Abstract
BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2018).
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).
