Abstract
It is known that the error of satellite chlorophyll-a concentration (Cchl-a) estimates is considerably larger in coastal waters compared with open areas. We have conducted a comparison of the satellite SeaWiFS ocean color scanner Cchl-a estimates, calculated by the OC2 algorithm, with the ship measurements taken in the north-western part of the Sea of Japan including both coastal areas (Peter the Great Bay) and open ones. Our research has also included the south-western part of the sea. Ship data were obtained from 8 cruises conducted in 1999–2004. We used the standard spectrophotometer method based on the analysis of the absorption spectra for chlorophyll-a extract in 90% acetone. A comparison was conducted between satellite and ship Cchl-a measurements at 210 stations. We used the Gordon-Clark method to take into account the satellite and ship Cchl-a estimates bias caused by averaging the ship measurements in the upper water layer. Satellite Cchl-a estimates were strongly overestimated in Peter the Great Bay where errors in the satellite estimates were above 200%. At separate stations they were reaching approximately 500% at Cchl-a equal to 3 mg/m3. In the autumn-winter period the satellite Cchl-a estimates near the coast were underestimated. Their errors were reaching 70% as compared to the ship data. Further away from the coast the errors decreased, however, they were still above 35%. We have shown that the error of satellite Chl-a estimates is correlated with the Sechi disk depth. Error begins to increase at Sechi disk depth equal to 9–10 m.
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Acknowledgments
We thank NASA/DAAC Group for satellite SeaWiFS and MODIS-Aqua data and Remote Sensing Systems Group for satellite distributions of wind speed and direction.
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Shtraikhert, E.A., Zakharkov, S.P., Gordeychuk, T.N. (2011). Comparison of the Satellite and Ship Estimates of Chlorophyll-a Concentration in the Sea of Japan. In: Tang, D. (eds) Remote Sensing of the Changing Oceans. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16541-2_15
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DOI: https://doi.org/10.1007/978-3-642-16541-2_15
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