Biblio
Filters: Author is Anton Korosov [Clear All Filters]
Sensor synergies exploiting ENVISAT for coastal and ocean monitoring. Special report 31 (2008). Download: PRODEX_SARIS-SpecRep#85s.pdf (6.58 MB)
SIOS Remote Sensing Strategy: Assessment of reserch areas with great EO support potential. NERSC Technical Report 104 (2011). Download: SIOS-D7-1-09Nov.pdf (4.12 MB)
Svalbard Integrated Arctic Earth Observing System (SIOS): Assessment of research areas with great EO support potential. SIOS Deliverable D7.1. NERSC Technical report 104 (2011). Download: Report-SIOS-D7-1-09Nov2011-1.pdf (4.12 MB)
Detection of Decadal Cimate Change Based on Consistent Satellite Observation of the Nordic Seas Aquatic Ecosystem. ESA Living Planet Symposium (2010).at <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Download: 142-D2-2010_esa_korosov.pdf (2.61 MB)
Integrated remote sensing and in situ monitoring for water risk management. 33rd International Symposium on Remote Sensing of Environment (ISRSE) (2009).
An advanced algorithm for operational retrieval of water quality parameters from satellite data in the visible. International Journal of Remote Sensing 26, 2669-2687 (2005). Download: 01431160500044697.pdf (568.15 KB)
Alterations of the Lake Michigan System / Water Quality: Evidence Provided by the SeaWiFS Seven-Year Time Series of Observations. Journal of Great Lakes Research 32, (2006).
Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing 11, (2019).
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).
Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review 145, (2017).
Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing 12, (2020).
Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere 14, (2020).
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).
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).
