Paper
28 November 2006 Estimation of chlorophyll-a concentration from satellite ocean color data in Upper Gulf of Thailand
Mitsuhiro Toratani, Hiroshi Kobayashi, Satsuki Matsumura, Absonsuda Siripong, Thaithaworn Lerdwithayaprasith
Author Affiliations +
Proceedings Volume 6406, Remote Sensing of the Marine Environment; 640607 (2006) https://doi.org/10.1117/12.693999
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mitsuhiro Toratani, Hiroshi Kobayashi, Satsuki Matsumura, Absonsuda Siripong, and 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); https://doi.org/10.1117/12.693999
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Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Atmospheric corrections

Evolutionary algorithms

Satellites

Reflectivity

Neural networks

Algorithm development

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