An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters

被引:50
作者
Tiwari, S. P. [1 ]
Shanmugam, P. [1 ]
机构
[1] Indian Inst Technol, Dept Ocean Engn, Ocean Opt & Imaging Grp, Madras 600036, Tamil Nadu, India
关键词
coloured dissolved organic matter; oceanography; optical modelling; remote sensing; SeaWiFS; coastal waters; OCEAN COLOR; ABSORPTION-SPECTRA; MARINE; CDOM; SEA; UV; SALINITY;
D O I
10.1016/j.ecss.2011.05.010
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
An optical model is developed for the remote sensing of coloured dissolved organic matter (CDOM) in a wide range of waters within coastal and open ocean environments. The absorption of CDOM (denoted as a(g)) is generally considered as an exponential form model, which has two important parameters - the slope S and absorption of CDOM at a reference wavelength a(g)(lambda(0)). The empirical relationships for deriving these two parameters are established using in-situ bio-optical datasets. These relationships use the spectral remote sensing reflectance (R-rs) ratio at two wavelengths R-rs(670)/R-rs(490), which avoids the known atmospheric correction problems and is sensitive to CDOM absorption and chlorophyll in coastal/ocean waters. This ratio has tight relationships with a(g)(412) and a(g)(443) yielding correlation coefficients between 0.77 and 0.78. The new model, with the above parameterization applied to independent datasets (NOMAD SeaWiFS match-ups and Carder datasets), shows good retrievals of the a(g)(lambda) with regression slopes close to unity, little bias and low mean relative and root mean square errors. These statistical estimates improve significantly over other inversion models (e.g., Linear Matrix-LM and Garver-Siegel-Maritorena-GSM semi-analytical models) when applied to the same datasets. These results demonstrate a good performance of the proposed model in both coastal and open ocean waters, which has the potential to improve our knowledge of the biogeochemical cycles and processes in these domains. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:396 / 402
页数:7
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