- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2011 4 (2)
- Authors
- Khodyaev, Artem V.; Shevyrnogov, Anatoliy P.; Vysotskaya, Galina S.; Kozikova, Olga S.
- Contact information
- Khodyaev, Artem V. : Institute of biophysics, Siberian Branch of Russian Academy of Sciences , Russia 660036, Krasnoyarsk, Akademgorodok, 50/50 , e-mail: ; Shevyrnogov, Anatoliy P. : Institute of biophysics, Siberian Branch of Russian Academy of Sciences , Russia 660036, Krasnoyarsk, Akademgorodok, 50/50; Vysotskaya, Galina S. : Institute of Computational Modeling, Siberian Branch of Russian Academy of Sciences , Russia 660036, Krasnoyarsk, Akademgorodok; Kozikova, Olga S. : Institute of biophysics, Siberian Branch of Russian Academy of Sciences , Russia 660036, Krasnoyarsk, Akademgorodok, 50/50
- Keywords
- global ocean currents; ocean color remote sensing; moving variance
- Abstract
This research based on using of moving variance method is directed on detection of global ocean currents and other dynamic processes using multi satellite data. This method is based on the statistical treatment of seasonal composites of sea surface temperature and phytoplankton pigments concentration satellite imagery. Digital map of ocean currents and oceanic frontal features was generated using moving variance method. Special software using IDL language for statistical treatment was developed.
- Pages
- 179-184
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/2328
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).