28 November 2006 Estimation of chlorophyll-a concentration from satellite ocean color data in Upper Gulf of Thailand
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Abstract
This study shows match-up analysis of chlorophyll-a concentration in coastal area in Upper Gulf of Thailand. An applicability of atmospheric correction are investigated in turbid area. When a suspended matter concentration is over 7 g/m3 in a mouth of Bangpakong river, atmospheric correction was failed, then chlorophyll-a concentration could not be estimated. Three algorithms which are MODIS (Moderate Resolution Imaging Spectroradiometer) standard, neural network for GLI (Global Imager) and regional empirical algorithm are compared using match-up data set. The regional algorithm has better correlation than other algorithms and its RMSE was minimum in three algorithms. MODIS standard algorithm has good performance in higher than 1mg/m3, however, CHL was overestimated in lower concentration.
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Mitsuhiro Toratani, Mitsuhiro Toratani, Hiroshi Kobayashi, Hiroshi Kobayashi, Satsuki Matsumura, Satsuki Matsumura, Absonsuda Siripong, Absonsuda Siripong, Thaithaworn Lerdwithayaprasith, Thaithaworn Lerdwithayaprasith, } "Estimation of chlorophyll-a concentration from satellite ocean color data in Upper Gulf of Thailand", Proc. SPIE 6406, Remote Sensing of the Marine Environment, 640607 (28 November 2006); doi: 10.1117/12.693999; https://doi.org/10.1117/12.693999
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