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

Abstract

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

CLC Number:

TP79

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.

References

[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.

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

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	XU Chao, LONG Lijuan, LI Sha, YUAN Li, XU Xiaolu. Systematic reorganization of historical data of scientific investigation in the South China Sea and its affiliated islands and reefs 3. data sharing service and application [J]. Journal of Tropical Oceanography, 2024, 43(5): 158-165.
[2]	XU Chao, LONG Lijuan, LI Sha, HE Yunkai, YUAN Li, XU Xiaolu. Systematic reorganization of historical data of scientific investigation in the South China Sea and its affiliated islands and reefs 1. data reorganization technology and application [J]. Journal of Tropical Oceanography, 2024, 43(5): 143-149.
[3]	XU Chao, LONG Lijuan, LI Sha, XU Xiaolu, YUAN Li. Systematic reorganization of historical data of scientific investigation in the South China Sea and its affiliated islands and reefs 2. data curation and application [J]. Journal of Tropical Oceanography, 2024, 43(5): 150-157.
[4]	LIU Yuan, KE Zhixin, LI Kaizhi, TAN Yehui, LIANG Junce, ZHOU Weihua. Zooplankton community in the coastal waters of eastern Guangdong under the influence of human activities and ocean currents [J]. Journal of Tropical Oceanography, 2024, 43(4): 98-111.
[5]	LIU Didi, ZHANG Xiyang, SUN Fulin, WANG Mingzhuang, TAN Fei, SHI Qi, WANG Guan, YANG Hongqiang. Microbial communities and specific strains within beachrocks of the South China Sea: implications for the origin of beachrock* [J]. Journal of Tropical Oceanography, 2024, 43(4): 112-122.
[6]	JIANG Lyumiao, CHEN Tianran, ZHAO Kuan, ZHANG Ting, XU Lijia. Experimental study on bioerosion of marginal reefs in the Weizhou Island, northern South China Sea [J]. Journal of Tropical Oceanography, 2024, 43(3): 155-165.
[7]	XU Lijia, LIAO Zhiheng, CHEN Hui, WANG Yongzhi, HUANG Baiqiang, LIN Qiaoyun, GAN Jianfeng, YANG Jing. Community structure of scleractinian corals in the northern South China Sea and their responses to the marine heatwaves [J]. Journal of Tropical Oceanography, 2024, 43(3): 58-71.
[8]	ZHAO Minghui, YUAN Ye, ZHANG Jiazheng, ZHANG Cuimei, GAO Jinwei, WANG Qiang, SUN Zhen, CHENG Jinhui. New developments on the rift-breakup of the continent-ocean transition zone in the northern margin of the South China Sea [J]. Journal of Tropical Oceanography, 2024, 43(2): 173-183.
[9]	HUANG Yu, WANG Lin, MAI Zhimao, LI Jie, ZHANG Si. Isolation and characterization of sand fixation ability of bacteria in biological soil crusts of the tropical islands, South China Sea [J]. Journal of Tropical Oceanography, 2023, 42(6): 101-110.
[10]	WANG Chenyan, SHI Jingwen, YAN Annan, KANG Yaru, WANG Yuxuan, QIN Suli, HAN Minwei, ZHANG Ruijie, YU Kefu. Bioaccumulation characteristics and source apportionment of organophosphate esters in Acanthaster planci from the South China Sea [J]. Journal of Tropical Oceanography, 2023, 42(5): 30-37.
[11]	LI Niu, DI Pengfei, FENG Dong, CHEN Duofu. The impact of cold seepage on geochemical indices for redox conditions of marine sediments ―Site F active seep site in the northeastern South China Sea^* [J]. Journal of Tropical Oceanography, 2023, 42(5): 144-153.
[12]	ZHANG Zhisheng, XIE Lingling, LI Junyi, LI Qiang. Comparative analysis of mesoscale eddy evolution during life cycle in marginal sea and open ocean: South China Sea and Kuroshio Extension [J]. Journal of Tropical Oceanography, 2023, 42(4): 63-76.
[13]	ZHANG Xianqing, LI Cai, Zhou Wen, LIU Cong, XU Zhantang, CAO Wenxi, YANG Yuezhong. Studying on diffuse attenuation coefficient in the South China Sea based on volume scattering function and absorption coefficient^* [J]. Journal of Tropical Oceanography, 2023, 42(3): 86-95.
[14]	YANG Lei, WEN Jinhui, WANG Qiang, LUO Xi, HUANG Huaming, HE Yunkai, CHEN Ju. Recent research progress in the influence of tropical cyclones on the Luzon Strait transport^* [J]. Journal of Tropical Oceanography, 2023, 42(3): 40-51.
[15]	ZHAO Zhongxian, SUN Zhen, MAO Yunhua, ZHANG Huodai. Heterogeneous extension and pulsed tectonic subsidence in the northern South China Sea margin^* [J]. Journal of Tropical Oceanography, 2023, 42(3): 96-115.