Biblio
Filters: Author is Zabolotskikh, Elizaveta [Clear All Filters]
Arctic polar low detection and monitoring using atmospheric water vapor retrievals from satellite passive microwave data. Proceedings of the 33rd International Symposium on Remote Sensing of Environment (ISRSE) (2009).
Arctic sea ice transformation revealed from satellite passive microwave data. Problemy Arktiki i Antarktiki (Problems of the Arctic and Antarctic) 78, 38-47 (2008).
Application of AMSR-E data to study integrated atmospheric parameters over the polar ocean using neural networks-based algorithms. Proceedings of IEEE Geoscience and Remote Sensing Symposium, IGARSS 2008, Boston, Massachusetts, USA, 6-11 July 2008 (on CD) (2008).
Arctic polar algorithms for atmospheric water parameter retrievals from satellite passive microwave data. Proceedings of the 10th Specialist Meeting on Microwave Radiometry and Remote Sensing of Environment (MICRORAD 2008), Florence, Italy, 11-14 March 2008 (10.1109/MICRAD.2008.4579501) (2008).
Changes in the Arctic sea ice cover from passive microwave satellite measurements. Proceedings of Scientific Conference High Latitude Seas and Marine Cryosphere , 25 27 October 2007, St. Petersburg, Russia (2007).
Errors of Microwave Satellite Measurements of Sea Surface Wind Speed, Atmospheric water vapor and cloud liquid water. Bulletin of Russian Academy of Science. Physics of the Atmosphere and Ocean 38, 670-675 (2002).
Retrievals of atmospheric integrated paramenters over oceans with SSM/I data using Neural Networks approach. In IRS 2000: Current problems in Atmospheric Radiation (2001).
Development and Validation of Sea Surface Wind Speed Retrieval Algorithms Using SSM/I Data, Neural Networks and Some Physical Limitations. Earth Observation and Remote Sensing 2, (2000).
Retrievals of atmospheric integrated parameters over oceans with SSM/I data using neural networks approach. Proceedings of the International Radiation Symposium, St.Petersburg, Russia, 24-29 July 2000 (2000).
Microwave remote sounding of athmospher-ocean system using neural networks approach. Proceedings for the 27th International Symposium on Remote Sensing of Environment Information for Sustainabilty Tromsø, Norway, organized by International Symposia on Remote Sensing of Environment (ISRSE) and the Norwegian Space Centre 312-315 (1998).