Comparison of chlorophyll algorithms in the Bohai Sea of China

被引：0

作者：

Xiu P. ^{[1
]}

Liu Y. ^{[1
]}

Rong Z. ^{[1
]}

Zong H. ^{[1
]}

Li G. ^{[3
]}

Xing X. ^{[1
]}

Cheng Y. ^{[1
,2
]}

机构：

[1] College of Physical and Environmental Oceanography, Physical Oceanography Laboratory, Ocean University of China

[2] Institute of Meteorology, PLA University of Science and Technology

[3] Shenzhen Key Laboratory for Coastal and Atmospheric Research, Pku-Hkust Shenzhen-Hongkong Institution

来源：

Ocean Science Journal | 2007年 / 42卷 / 4期

关键词：

Artificial Neural Network; Case II waters; Chlorophyll concentration; Ocean color; Remote sensing model;

D O I：

10.1007/BF03020911

中图分类号：

学科分类号：

摘要：

Empirical band-ratio algorithms and artificial neural network techniques to retrieve sea surface chlorophyll concentrations were evaluated in the Bohai Sea of China by using an extensive field observation data set. Bohai Sea represents an example of optically complex case II waters with high concentrations of colored dissolved organic matter (CDOM). The data set includes coincident measurements of radiometric quantities and chlorophyll a concentration (Chl), which were taken on 8 cruises between 2003 and 2005. The data covers a range of variability in Chl in surface waters from 0.3 to 6.5 mg m -3. The comparison results showed that these empirical algorithms developed for case I and case II waters can not be applied directly to the Bohai Sea of China, because of significant biases. For example, the mean normalized bias (MNB) for OC4V4 product was 1.85 and the root mean square (RMS) error is 2.26.

引用

页码：199 / 209

页数：10

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