Influence of Atmospheric Correction on Calculation Accuracy of Sea Reflecting Capacity in Seadas Program Complex

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Observation of the ocean color is of great importance. Phytoplankton being the major contributor to the water color, remote observations of the ocean color allow finding concentration of phytoplankton chlorophyll in water. Nowadays satellite data are the only practically viable way of monitoring spatial and seasonal plankton variations at the water surface level; and they present the most vital information for studying ocean primary productivity, global processes of carbon dioxide consumption and evaluation of the sea ecological condition. This work analyzes accuracy of various atmospheric correction algorithms available in the SeaDAS program complex, and singles out the most appropriate algorithms for processing satellite data of the Gulf of Peter the Great.

Light can go in various ways before it reaches the satellite sensor. Thus, radiance intensity (E) measured by an artificial satellite can be presented as E=E A +E M +E Î ÒÐ, where EA is brightness of the signal dispersed and reflected in the atmosphere; EM - brightness of the signal coming from the sea depth (the useful signal); EOTp — brightness of the signal reflected by the sea surface. Atmospheric correction of radiance is applied for extracting the useful signal from the entire signal. Atmospheric correction accuracy vitally influences the accuracy of water bioparameters calculated by means of satellite information. The SeaDAS program complex is widely used for processing satellite data. It is capable of processing data from various sources, including such satellite radioparameters as SeaWiFS, CZCS, MODIS, etc. The goal of this research lies in comparative analysis of work of various atmospheric correction algorithms available in SeaDAS and singling out the most suitable algorithm for satellite processing of data obtained in the Gulf of Peter the Great.

Document Type: Research Article

Publication date: January 1, 2011

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