长江口及邻近海域水体反射率的模拟

摘要/Abstract

摘要： 通过对2009年8月和11月水体光学特性的分析发现：长江口邻近海域夏秋两季反射光谱曲线由于悬浮泥沙、浮游植物以及黄色物质的影响呈现4种形状；叶绿素a浓度与浮游植物吸收系数可通过两种方式建立良好关系；将水体各组分光学特性参数化，并结合叶绿素a浓度与吸收系数的两种关系分别建立水体反射光谱参数模式，从而可以对水体遥感反射光谱进行模拟，模拟曲线的均方根误差分别为0.004 4和0.004 5.在模式的建立中，根据长江口海域水体组分浓度的分布状况，对悬浮泥沙浓度以及叶绿素a浓度进行分类，得到不同水体组分浓度下反射率光谱曲线；然后分别获得模式参数并进行模拟，得到的反射率模拟曲线与实测相对均方根误差为0.003 5，具有更高的模拟精度.

关键词: 遥感反射率, 吸收系数, 散射系数, 模拟, 长江口

Abstract: The optical properties of the Yangtze Estuarine waters were discussed based on two investigations conducted respectively in August and November of 2009. It was found that the water-leaving reflectance spectra in August and November presented four types caused by different chlorophyll-a concentrations, suspended sediment concentrations and colored dissolved organic matters (CDOM). The relationships between chlorophyll-a concentration and absorption coefficient of the pigment particles were built by two ways, and two models used to simulate the reflectance spectra were established by using the parameterized optical properties, the RMSE of these models being 0.004 4 and 0.004 5, respectively. The accuracy of the model can be improved by classifying the concentrations of chlorophyll-a and suspended sediment, the RMSE was improved to 0.003 5.

Key words: remote sensing reflectance, absorption coefficient, scattering coefficient, modeling, Yangtze Estuary

中图分类号:

P733

洪官林，沈芳，沈宏. 长江口及邻近海域水体反射率的模拟[J]. 华东师范大学学报(自然科学版), 2012, 2012(1): 37-46.

HONG Guan-lin, SHEN Fang, SHEN Hong. Modeling of seawater reflectance in the Yangtze Estuary and the adjacent sea[J]. Journal of East China Normal University(Natural Sc, 2012, 2012(1): 37-46.

参考文献

［1］GORDON H R, BROWN O B, EVENS R H, et al. A semianalytic radiance model of ocean color［J］. Journal of Geophysical Research, 1988, 93D: 10909-10924.

［2］MOREL A, GENTILI B. Diffuse reflectance of oceanic waters Ⅱ: Bidirectional aspects［J］. Appl Opt, 1993,32: 6864-6879.

［3］LEE Z P, KENDALL L C, DU K P. Effects of molecular and particle scatterings on the model parameter for remote-sensing reflectance［J］. Appl Opt, 2004, 43(25): 4957-4964.

［4］马毅,张杰,崔廷伟,等.一种基于海面光谱数据的海水遥感反射率模型参数优化方法［J］.海洋科学进展, 2004, 22：28-33.

［5］况润元.长江口水色遥感参数模拟研究［D］.上海：华东师范大学，2010: 1-145.

［6］国家海洋局908专项办公室.海洋光学调查技术规程［M］. 北京:海洋出版社，2006.

［7］KISHINO M, TAKAHASHI M, OKAMI N, et al. Estimation of the spectral absorption coefficients of phytoplankton in the sea［J］. Bull Mar Sci, 1985, 37: 634-642.

［8］YENTSCH C S. Measurement of visible light absorption by particulate matter in the ocean［J］. Limnology and oceanography, 1962（7）: 207-217.

［9］SHEN F, ZHOU Y X, HONG G L. Absorption property of non-algal particles and contribution and contribution to total light absorption in optically complex waters, a case study in Yangtze Estuary and adjacent Coast［C］// 2010 international Conference on Remote Sensing, 2010(2): 571-574.

［10］洪官林,沈芳.长江口邻近海域叶绿素光学特性研究［C］// 2010 International Conference on Remote Sensing, 2010(4):562-565.

［11］曹文熙，杨跃忠，许晓强,等.珠江口悬浮颗粒物的吸收光谱及其区域模式［J］.科学通报，2003，48（17）：1876-1882.

［12］王林，赵冬至，杨建洪,等. 北黄海浮游植物吸收系数的季节性变化研究［J］.海洋环境科学，2010，29（1）：60-65.

［13］ LEE Z P. Visible-infrared remote-sensing model and applications for ocean waters［D］. St. Petersburg, Fla.:Department of Marine Science, University of South Florida, 1994.

［14］ LE C F, LI Y M, ZHA Y, et al. Specific absorption coefficient and the phytoplankton package effect in Lake Taihu, China［J］. Hydrobiologia, 2009, 619: 27-37.

［15］ KOJI SUZUKI, MOTOAKI KISHINO, KOUSEI SASAOKA, et al. Chlorophyll-Specific Absorption Coefficients and Pigments of Phytoplankton off Sanriku, Northwestern North Pacific［J］. Journal of Oceanography, 1998, 54: 517-526.

［16］ ANNICK BRICAUD, MARCEL BABIN, ANDRE MOREL, et al. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: Analysis and parameterization［J］. Journal of Geophysical Research, 1995, 100: 13321-13332.

［17］ BERTHON J F, MOREL A. Validation of a spectral light photosynthesis model and use of the model in conjunction with remotely sensed pigment observation［J］. Limnol Oceanogr, 1992, 37: 781-796.

［18］ BRICAUD A, BABIN M, MOREL A, et al. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: Analysis and parameterization［J］. J Geophys Res, 1995, 100: 13321-13332.

［19］ BANNISTER T T. Production equations in terms of chlorophyll concentration, quantum yield, and upper limit to production ［J］. Limnology and Oceanography, 1974, 19(1): 1-2.

［20］ SATHYENDRANATH S, PRIEUR L, MOREL A. A three-component model of ocean colour and its application to remote sensing of phytoplankton pigments in coastal waters［J］. Int J Remote Sensing, 1989(10): 1373-1394.

［21］ CARDER K L, CHEN F R, LEE Z P, et al. Semianalytic Moderate-Resolution Imaging Spectrometer algorithms for chlorophyll a and absorption with bio-optical domains based on nitrate- depletion temperatures［J］. J Geophys Res, 1999, 104: 5403-5421.

［22］李铜基, 陈清莲, 杨安安. 黄东海春季水体后向散射系数的经验模型研究［J］. 海洋技术, 2004, 23（3）：10-14.

［23］ LEE Z P, CARDER K L, Peacock T G, et al. Method to derive ocean absorption coefficients from remote-sensing reflectance［J］. Applied Optics, 1996, 35(3): 453-462.

［24］ MOREL A. Bio-optical properties of oceanic waters: A reappraisal［J］. Journal of Geophysical Research, 2001, 106(4): 7163-7180.

［25］ GORDON H R, MOREL A. Remote assessment of ocean color for interpretation of satellite visible imagery: A review［J］. Coastal and Estuarine Studies, 1983(4):118.

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