A SALINITY ESTIMATION METHOD USING GEOSTATIONARY OCEAN COLOR IMAGER IN EUTROPHICATED COASTAL AREAS

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  • 富栄養化した沿岸域における静止海色衛星を用いた塩分推定手法の提案
  • フ エイヨウカ シタ エンガンイキ ニ オケル セイシカイショク エイセイ オ モチイタ エンブン スイテイ シュホウ ノ テイアン

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Abstract

 In this study, we developed a method to estimate spatial salinity distributions based on a relationship between absorption coefficients of color dissolved organic matter (aCDOM) and Salinity, by estimating aCDOM using COMS/GOCI in eutrophicated coastal areas. Using Bio-Optical model, which was developed by in situ optical data collected at an inner part of Tokyo Bay, the aCDOM estimation accuracy was evaluated against changes of Chlorophyll-a (Chl-a) and non-algal particles (NAP). As a result, an aCDOM estimation model based on a ratio of remote sensing reflectance, Rrs(660 nm)/Rrs(490 nm) was effective when Chl-a is low concentration. Moreover, an aCDOM estimation model based on Rrs(550 nm)/Rrs(660 nm) could estimate aCDOM adequately when Chl-a is high concentration. Therefore, a switching method for the two aCDOM estimation models as using threshold values from Chl-a spatial distributions, which is preliminarily estimated by applying a field observation result assimilation FLH to GOCI images, was suggested. In comparison with in situ salinity and estimated salinity, the relationship was R2=0.71, RMSE=1.04(N=114) and it could be available to estimate salinity with high accuracy more than previous methods.

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