基于两种半分析算法的水体吸收系数反演

doi:10.11978/j.issn.1009-5470.2009.05.035

热带海洋学报 ›› 2009, Vol. 28 ›› Issue (5): 35-42.doi: 10.11978/j.issn.1009-5470.2009.05.035cstr: 32234.14.j.issn.1009-5470.2009.05.035

基于两种半分析算法的水体吸收系数反演

汪文琦1 ,董强1 ,商少凌1 ,吴璟瑜1 ,李忠平2

1. 福建省教育部共建海洋环境科学联合重点实验室（厦门大学、福建海洋研究所），福建厦门 361005；
2. Northern Gulf Institute, Mississippi State University, MS 39529

收稿日期:2009-01-12 修回日期:2009-04-07 出版日期:2009-11-10 发布日期:2009-10-10
通讯作者: 商少凌
基金资助:
863计划项目（2006AA09A302,2008AA09Z108）；国家自然科学基金项目（40521003）

An evaluation of two semi-analytical ocean color algorithms for waters off South China

^{WANG Wen-qi1, DONG Qiang1, SHANG Shao-ling1, WU Jing-yu1, LEE Zhong-ping2}

1. Joint Key Laboratory of Coastal Study (Xiamen University，Fujian Institute of Oceanography), Xiamen 361005, China; 2. Northern Gulf Institute, Mississippi State University, MS 39529

Received:2009-01-12 Revised:2009-04-07 Online:2009-11-10 Published:2009-10-10
Contact: 商少凌
Supported by:
863计划项目（2006AA09A302,2008AA09Z108）；国家自然科学基金项目（40521003）

摘要/Abstract

摘要：

本文基于42组不同年份不同季节获得的遥感反射率、水体各组分吸收系数的实测数据，对QAA（Quasi-Analytical Algorithm）和GSM（Garver-Siegel-Maritorena）算法在寡营养的南海和富营养的福建沿岸两种不同类型水体的吸收系数反演进行了检验。以水样测量值为参考，两种算法在本研究水体中的反演成效与他人在其它水域的研究结果相当。QAA算法在南海的反演成效高于福建沿岸水体。对于443 nm的总吸收系数（a443 ），南海的对数均方根误差（RMSE ）为0.046，平均相对误差为7.9%，对数平均偏差为0；福建沿岸水体的对数均方根误差（RMSE ）为0.194，平均相对误差为30.6%，对数平均偏差为-0.167 。GSM算法在两类水体的反演成效类似，A443 之RMSE和平均相对误差，南海分别为0.161和27.7%，福建沿岸分别为0.149和32.1%，但从A443的对数平均偏差值看，其在南海反演值低于实测值（对数平均偏差为-0.142 ），在福建沿岸则略呈高于实测值（对数平均偏差为0.016）。两种算法中的部分经验参数与实测值之间的差异是产生反演误差的主要原因，为了提高反演精度，对算法中经验参数的更进一步区域化调整可能是必要的。

关键词: 半分析算法, 吸收系数, 南海, 福建沿岸

Abstract:

With 42 in situ measurements of remote sensing reflectance and component absorption coefficients taken in the South China Sea and coastal waters off Fujian (China) in different seasons, the performance of the Quasi-Analytical Algorithm (QAA) and the Garver-Siegel-Maritorena (GSM) algorithm for water’s absorption coefficients are evaluated. It is found that the retrieval performance of the two algorithms is similar as those by other researchers performed in different regions. To waters in this study, QAA performed better in the South China Sea than for waters off Fujian coast. For total absorption coefficient at 443 nm (a443), the root-mean-square-error (RMSE) is 0.046 in the South China Sea, with an averaged percentage error of 7.9%, and averaged error in log scale (δ) close to 0. For coastal waters off Fujian, RMSE, an averaged percentage error and δ are 0.194, 30.6%, and -0.167, respectively. The performance of GSM is similar for the two regions of waters. For a443, RMSE and an averaged percentage error are 0.161 and 27.7% in the South China Sea, respectively; and are 0.149 and 32.1% for waters off Fujian coast. Their δ values, however, are negative (-0.142, indicating underestimation) in the South China Sea, and positive (0.016, indicating slight overestimation) in coastal waters off Fujian. Further analysis indicate that the differences between the empirical parameters employed in the algorithms and actual values of the waters under study are the main reasons causing errors in remote sensing retrievals, and it is necessary to regionally refine those parameters in order to improve the algorithm performances.wei

Key words: semi-analytical algorithm, absorption coefficient, South China Sea, coastal Fujian

中图分类号:

TP79

汪文琦,董强,商少凌,吴璟瑜,李忠平 . 基于两种半分析算法的水体吸收系数反演[J]. 热带海洋学报, 2009, 28(5): 35-42.

WANG Wen-qi,DONG Qiang,SHANG Shao-ling,WU Jing-yu,LEE Zhong-ping. An evaluation of two semi-analytical ocean color algorithms for waters off South China[J]. Journal of Tropical Oceanography, 2009, 28(5): 35-42.

参考文献

[1] PREISENDORFER R W. A survey of theoretical hydrologic optics[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1968, 8(1): 325—338.
[2] BEHRENFELD M J, O'MALLEY R T, SIEGEL D A, et al. Climate-driven trends in contemporary ocean productivity[J]. Nature, 2006, 444(7120): 752—755.
[3] LEE Z P. Remote sensing of inherent optical properties: Fundamentals，tests of algorithms, and applications[M]. Dartmouth, Canada: International Ocean-Colour Coordinating Group, 2006：73—93.
[4] LEE Z P, CARDER K L, AMONE R A. Deriving inherent optical properties from water color: A multiband quasi-analytical algorithm for optically deep waters[J]. Applied Optics, 2002, 41(27): 5755—5772.
[5] LEE Z P, WEIDEMANN A, KINDLE J, et al. Euphotic zone depth: Its derivation and implication to ocean-color remote sensing[J]. Journal of Geophysical Research-Oceans, 2007, 112(C03009): doi:10.1029/2006JC003802.
[6] GARVER S A, SIEGEL D A. Inherent optical property inversion of ocean color spectra and its biogeochemical interpretation Ⅰ. Time series from the Sargasso Sea[J]. Journal of Geophysical Research-Oceans, 1997, 102(C8): 18607—18625.
[7] MARITORENA S, SIEGEL D A, PETERSON A R. Optimization of a semi-analytical ocean color model for global-scale applications[J]. Applied Optics, 2002, 41(15): 2705—2714.
[8] HOOKER S B, CENTER G S F. The SeaWiFS Bio-optical Archive and Storage System (SeaBASS), Part Ⅰ. National Aeronautics and Space Administration[M].Goddard Space Flight Center; National Technical Information Service, 1994:40.
[9] MELIN F, ZIBORDI G, BERTHON J F. Assessment of satellite ocean color products at a coastal site[J]. Remote Sensing of Environment, 2007, 110(2): 192—215.
[10]WU JINGYU, HONG HUASHENG, SHANG SHAOLING, et al. Variation of phytoplankton absorption coefficients in the northern South China Sea during spring and autumn[J]. Biogeosciences Discussions, 2007, 4: 1555—1584.
[11] FARGION G S, MUELLER J L. Ocean optics protocols for satellite ocean color sensor validation, Revision 3 [R].NASA/TM-2002-21004,2002.
[12] MOBLEY C D. Estimation of the remote-sensing reflectance from above-surface measurements[J]. Applied Optics, 1999, 38: 7442—7455
[13] 李铜基, 唐军武, 陈清莲, 等. 光谱仪测量离水辐射率的处理方法[J]. 海洋技术, 2000, 19(3): 11—16.
[14] 唐军武, 田国良, 汪小勇, 等. 水体光谱测量与分析Ⅰ: 水面以上测量法[J]. 遥感学报, 2004, 8(1): 37—44.
[15] 隋晓飞, 商少平, 马晓鑫, 等. 剖面法与水面之上法测量水面下遥感反射率的比较[J]. 厦门大学学报(自然科学版), 2007, 46(S1): 6—11.
[16] MITCHELL B, G, BRICAUD A, CARDER K. Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples[R]//FARGION G S, MUELLER J L. Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 2. Greenbelt, Maryland: NASA Goddard Space Flight Space Center, 2000:125—153.
[17] CLEVELAND J S, WEIDEMANN A D. Quantifying absorption by aquatic particles: a multiple scattering correction for glass-fiber filters[J]. Limnology and Oceanography, 1993, 38(6): 1321—1327.
[18] 吴璟瑜. 中国东南近海光吸收特性研究[D]. 厦门: 厦门大学, 2006.
[19] HONG HUASHENG, WU JINGYU, SHANG SHAOLING, et al. Absorption and fluorescence of chromophoric dissolved organic matter in the Pearl River Estuary, South China[J]. Marine Chemistry, 2005, 97(1—2): 78—89.
[20] BRICAUD A, MOREL A, BABIN M, et al. Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case Ⅰ) waters: Analysis and implications for bio-optical models[J]. Journal of Geophysical Research-Oceans, 1998, 103(C13): 31033—31044.
[21] MOREL A. Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters)[J]. Journal of Geophysical Research Oceans, 1988, 93(C9): 10749—10768.

基于两种半分析算法的水体吸收系数反演

An evaluation of two semi-analytical ocean color algorithms for waters off South China

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	徐超, 龙丽娟, 李莎, 袁丽, 徐晓璐. 南海及其附属岛礁海洋科学考察历史资料系统整编3. 数据共享服务及应用[J]. 热带海洋学报, 2024, 43(5): 158-165.
[2]	徐超, 龙丽娟, 李莎, 何云开, 袁丽, 徐晓璐. 南海及其附属岛礁海洋科学考察历史资料系统整编1. 资料整编技术及应用[J]. 热带海洋学报, 2024, 43(5): 143-149.
[3]	徐超, 龙丽娟, 李莎, 徐晓璐, 袁丽. 南海及其附属岛礁海洋科学考察历史资料系统整编2. 数据治理技术与应用[J]. 热带海洋学报, 2024, 43(5): 150-157.
[4]	柳原, 柯志新, 李开枝, 谭烨辉, 梁竣策, 周伟华. 人类活动和沿岸流影响下的粤东近海浮游动物群落特征[J]. 热带海洋学报, 2024, 43(4): 98-111.
[5]	刘玓玓, 张喜洋, 孙富林, 王明壮, 谭飞, 施祺, 王冠, 杨红强. 南海海滩岩微生物群落结构和特定菌株对其成因机制的启示*[J]. 热带海洋学报, 2024, 43(4): 112-122.
[6]	江绿苗, 陈天然, 赵宽, 张婷, 许莉佳. 南海北部涠洲岛边缘珊瑚礁的生物侵蚀实验研究[J]. 热带海洋学报, 2024, 43(3): 155-165.
[7]	许莉佳, 廖芝衡, 陈辉, 王永智, 黄柏强, 林巧云, 甘健锋, 杨静. 南海北部珊瑚群落结构特征及其对海洋热浪事件的响应[J]. 热带海洋学报, 2024, 43(3): 58-71.
[8]	邱燕, 鞠东, 黄文凯, 王英民, 聂鑫. 南海中央海盆海底初始扩张时间的重新认定[J]. 热带海洋学报, 2024, 43(2): 154-165.
[9]	赵明辉, 袁野, 张佳政, 张翠梅, 高金尉, 王强, 孙珍, 程锦辉. 南海北部被动陆缘洋陆转换带张裂-破裂研究新进展[J]. 热带海洋学报, 2024, 43(2): 173-183.
[10]	黄谕, 王琳, 麦志茂, 李洁, 张偲. 南海热带岛礁生物土壤结皮中细菌的分离及其固砂特性初步研究[J]. 热带海洋学报, 2023, 42(6): 101-110.
[11]	王辰燕, 史敬文, 颜安南, 康亚茹, 王煜轩, 覃素丽, 韩民伟, 张瑞杰, 余克服. 有机磷酸酯在南海长棘海星中的生物富集特征及来源解析[J]. 热带海洋学报, 2023, 42(5): 30-37.
[12]	李牛, 邸鹏飞, 冯东, 陈多福. 冷泉渗漏对海洋沉积物氧化还原环境地球化学识别的影响——以南海东北部F站位活动冷泉为例^*[J]. 热带海洋学报, 2023, 42(5): 144-153.
[13]	张智晟, 谢玲玲, 李君益, 李强. 边缘海与开阔海中尺度涡生命周期演化规律对比分析: 以南海和黑潮延伸体为例[J]. 热带海洋学报, 2023, 42(4): 63-76.
[14]	张现清, 李彩, 周雯, 刘聪, 许占堂, 曹文熙, 杨跃忠. 基于体散射函数及吸收系数的南海水体漫射衰减系数研究^*[J]. 热带海洋学报, 2023, 42(3): 86-95.
[15]	杨磊, 温金辉, 王强, 罗希, 黄华明, 何云开, 陈举. 热带气旋影响吕宋海峡输运的研究进展与展望^*[J]. 热带海洋学报, 2023, 42(3): 40-51.