Paper
7 October 2011 Ocean processes revealing by seasonal dynamics of surface chlorophyll concentration by satellite data
A. Shevyrnogov, G. Vysotskaya
Author Affiliations +
Abstract
Continuous monitoring of phytopigment concentrations and sea surface temperature in the ocean by space-borne methods makes possible to estimate ecological condition of biocenoses in critical areas. In the papers of the authors (Shevyrnogov A.P., Vysotskaya G.S., Gitelzon J.I. 1996) existence of zones, which are quasi-stationary with similar seasonal dynamics of chlorophyll concentration at surface layer of ocean, was shown. Results were obtained on the base of processing of time series of satellite images SeaWiFS. It was shown that fronts and frontal zones coincide with dividing lines between quasi-stationary areas, especially in areas of large oceanic streams. The usage of the seasonal dynamics gives a possibility to circumvent influence of high-frequency component in investigation of dynamics of spatial distribution of surface streams. In addition, an analyses of unstable ocean productivity phenomena, stood out time series of satellite images, showed existence of areas with different types of instability in the all Global ocean. They are observed as adjacent nonstationary zones of different size, which are associated by different ways with known oceanic phenomena. It is evident that dynamics of a spatial distribution of biological productivity and sea surface temperature can give an additional knowledge of complicated picture of surface oceanic layer hydrology.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Shevyrnogov and G. Vysotskaya "Ocean processes revealing by seasonal dynamics of surface chlorophyll concentration by satellite data", Proc. SPIE 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 817517 (7 October 2011); https://doi.org/10.1117/12.897819
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KEYWORDS
Satellites

Earth observing sensors

MODIS

Satellite imaging

Hydrology

Image processing

Biological research

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