基于Hydrolight的太湖水体区域化固有光学模型参数率定与验证

doi:10.7523/j.issn.2095-6134.2014.05.006

摘要/Abstract

摘要：

神经网络作为相对理想的可以业务化运行的水色遥感建模方法，在训练过程中需要巨量的数据集；而实测数据无法满足要求，需要利用水体辐射传输软件Hydrolight模拟数据集.利用数值统计方法对太湖7期野外实测数据进行分析，确定利用Hydrolight模拟太湖遥感反射率时，需要输入的藻类颗粒物、非藻类颗粒物和有色可溶性有机物的比吸收系数、比散射系数等参数；利用这些参数模拟遥感反射比，并与实测光谱数据进行比较，发现二者相关性普遍在0.95以上，证明确定的太湖区域化参数符合模拟需要，具有较强的实用价值.

关键词: 太湖, Ⅱ类水体, 水色遥感, Hydrolight, 辐射传输模型

Abstract:

Neural network is a good modeling method in water color remote sensing field, and it needs a large amounts of training data sets. However, in situ data sets are far from enough for meeting the requirement of large amounts of training data sets in neural network. So Hydrolight is used to cover the shortage, and it can simulate large-scale data sets. Based on in situ data of 7 months from 2008 to 2011 in Taihu Lake and by using related numerical statistical methods, the primary required simulated parameters such as the mass-specific absorption coefficients of chlorophyll particles, mineral particles, and colored dissolved organic matter (CDOM) and the mass-specific scattering coefficients of chlorophyll particles and mineral particles are determined. Results show that, compared with the measured remote sensing reflectance spectrum, the simulated remote sensing reflectance spectrum matches well with the former one and the correlation coefficient reaches 0.95 generally. This study provides a good foundation for building large scale training data sets of Taihu Lake in neural network simulation.

Key words: Taihu Lake, water of case 2, lake color remote sensing, Hydrolight, radiation transfer model

中图分类号:

X832

黄佳慧, 段洪涛, 马荣华, 张玉超. 基于Hydrolight的太湖水体区域化固有光学模型参数率定与验证[J]. 中国科学院大学学报, 2014, 31(5): 613-625.

HUANG Jiahui, DUAN Hongtao, MA Ronghua, ZHANG Yuchao. Study on regional parameters of radiative transfer simulation based on Hydrolight in Taihu Lake[J]. , 2014, 31(5): 613-625.

参考文献

[1] Morel A. Optical modeling of the upper ocean in relation to its biogenous matter content(case I waters)[J]. Journal of Geophysical Research, 1988, 93(C9): 10 749-10 768.

[2] Clark D K. Oceangraphy from space[M]. Berlin: Springer, 1981: 227-238.

[3] O'reilly J, Matioroen S, Mitchell B G, et al. Ocean color chlorophyll algorithms for SeaWiFS[J]. Journal of Geophysical Research, 1998, 103(C11): 24 937-24 953.

[4] Oyama Y, Matsushita B, Fukushima T, et al. A new algorithm for estimating chlorophyll-a concentration from multi-spectral satellite data in case Ⅱ waters: a simulation based on a controlled laboratory experiment[J]. International Journal of Remote Sensing, 2007, 28(7):1 437-1 453.

[5] Oyama Y, Matsushita B, Fukushima T, et al. Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data[J]. Journal of Photogrammetry and Remote Sensing, 2009, 64(1):73-85.

[6] Yang W, Chen J, Mausushita B. Algorithm for estimating chlorophyll-a concentration in case 2 water body based on bio-optical model[J]. Spectroscopy and Spectral Analysis, 2009, 29(1): 38-42(in Chinese). 杨伟, 陈晋, 松下文经. 基于生物光学模型的水体叶绿素浓度反演算法[J]. 光谱学与光谱分析, 2009, 29(1):38-42.

[7] Carder K L, Chen F R, Lee Z P, et al. Semi-analystical mModerate-resolution imaging spectrometer algorithms for chlorophyll-a and absorption with bio-optical domains based on nitrate depletion temperatures[J]. Journal of Geophysical Research, 1999, 104(C3): 5 403-5 421.

[8] Garver S A, Siegel D. Inherent optical property inversion of ocean color spectra and its biogeochemical interpretation 1.Time series from the Sargasso Sea[J]. J GeoPhys Res, 1997, 102: 18 607-18 625.

[9] Chen M. Summarization of algorithms of ocean color remote sensing[D].Shandong: Ocean University of China, 2005 (in Chinese). 陈淼. 海洋水色卫星遥感算法综述[D]. 山东:中国海洋大学, 2005.

[10] Wang F. Estuary water suspended matter inherent optical property and concentration remote sensing inversion model[D]. Hangzhou: Zhejiang University, 2008(in Chinese). 王繁. 河口水体悬浮物固有光学性质及浓度遥感反演模式研究[D]. 杭州:浙江大学, 2008.

[11] Doerffer R, Schiller H. The MERIS case 2 water algorithm[J]. International Journal of Remote Sensing, 2007, 28(3/4): 517-535.

[12] Duan H T, Ma R H, Stefan G H S, et al. Validation of case-2 water products in lake Taihu, China[J]. GIScience & Remote Sensing, 2012, 49 (6): 873-894.

[13] Mobley C D, Sundman L K. Hydrolight 5.0 users' Guide[R]. Redmond: Sequoia Scientific, Inc. 2000.

[14] Wang G F, Cao W X, Xu D Z, et al. Variations in specific absorption coefficients of phytoplankton in northern south China sea[J]. Journal of Tropical Oceanography, 2005, 24(5): 1-10(in Chinese). 王桂芬, 曹文熙, 许大志, 等. 南海北部水体浮游植物比吸收系数的变化[J]. 热带海洋学报, 2005, 24(5):1-10.

[15] Huang C C, Li Y M, Wang Q, et al. Scattering characteristics and relevant factors in autumn Lake Taihu[J]. Journal of Lake Sciences, 2009, 21(4): 594-602(in Chinese). 黄昌春, 李云梅, 王桥, 等. 太湖水体秋季散射特性及其相关因素分析[J]. 湖泊科学, 2009, 21(4):594-602.

[16] Ma R H, Pan D L, Duan H T, et al. Absorption and scattering properties of water body in Taihu Lake, China: backscattering[J]. International Journal of Remote Sensing, 2009, 30(9): 2 321-2 335.

[17] Li F, Xu J P, He Y, et al. Spectral absorption properties of particulate matters in the Shitoukoumen reservoir of Changchun city[J]. Journal of Lake Sciences, 2009, 21(2): 280-287 (in Chinese). 李方, 徐京萍, 何艳, 等. 长春市石头口门水库颗粒物光谱吸收特性[J]. 湖泊科学, 2009, 21(2):280-287.

[18] Sun D Y, Li Y M, Wang Q, et al. Specific absorption characteristics of suspended particles in lake Taihu and parameter analysis[J]. Acta Scientiae Circumstantiae, 2009, 29(9): 1 820-1 829 (in Chinese). 孙德勇, 李云梅, 王桥, 等. 太湖水体中悬浮颗粒物的比吸收光谱特性及其参数化分析[J]. 环境科学学报, 2009, 29(9):1 820-1 829.

[19] Maffione R A, Dana D R. Instruments and methods for measuring the backward-scattering coefficient of ocean waters[J]. Applied Optics, 1997, 36(24): 6 057-6 067.

[20] Mobley C D. Light and water: radiative transfer in natual waters[M]. San Diego: Academic Press, 1994: 23-35.

[21] Oishi T. Significant relationship between the backward scattering coefficient of sea water and the scattering at 120°[J]. Applied Optics, 1990, 29(31): 4 658-4 665.

[22] Bricaudb A, Babin M, Morel A, et al. Variability in the chlorophyll specific absorption coefficients of natural phytoplankton: analysis and parameterization[J]. Journal of Geophysical Research, 1995, 100(C7): 13 321-13 332.

[23] Sathyendranath S. Remote sensing of ocean color in coastal and other optically complex waters[R]. IOCCG Project Office. 2003.

[24] Roesler C S, Perry M J, Carder K L. Modeling insitu phytoplankton absorption from total absorption spectra in productive inland marine waters[J]. Limnology and Oceanography, 1989, 34(8):1 510-1 523.

[25] Gallegos C L, Correll D L, Pierce J W. Modeling spectral diffuse attenuation, absorption, and scattering coefficients in a turbid estuary[J]. Limnology and Oceanography, 1990, 35(7):1 486-1 502.

[26] Pierson D C, Strombeck N. Estimation of radiance reflectance and the concentrations of optically active substances in lake Mlaren, Sweden, based on direct and inverse solutions of a simple model[J]. Science of the Total Environment, 2001, 268(1-3): 171-188.

[27] Strombeck N, Pierson D C. The effects of variability in the inherent optical properties on estimations of chlorophyll-a by remote sensing in Swedish Freshwaters[J]. Science of the Total Environment, 2001, 268(1-3): 123-137.

[28] Ammenberg P, Flink P, Lindell T, et al. Bio-optical modeling combined with remote sensing to assess water quality[J]. International Journal of Remote Sensing, 2002, 23(8): 1621-1638.

[29] Morel A. Diffusion de la lumiere par les eaux de mer: Resultats experimentaux et approche theorique[J]. Agard Lecture Series, 1973, 61:3.1.1-3.1.76.

[30] Smith R C, Baker K S. Optical properties of the clearest natural waters (200-800 nm)[J]. Applied Optics, 1981, 20(2): 177-184.

[31] Sathyendranath S, Cota G, Stuart V, et al. Remote sensing of phytoplankton pigments: a comparison of empirical and theoretical approaches[J]. International Journal of Remote Sensing, 2001, 22(23): 249-273.

[32] Lee Z P, Carder K L, Arnone R A. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters[J]. Applied Optics, 2002, 41(27): 5 755-5 772.

[33] Sun D Y, LI Y M, Le C F, et al. Scattering characteristics of Taihu lake and its relationship models with suspended particle concentration[J]. Environmental Science, 2007, 28(12): 2 688-2 694(in Chinese). 孙德勇, 李云梅, 乐成峰, 等. 太湖水体散射特性及其与悬浮物浓度关系模型[J]. 环境科学, 2007, 28(12):2 688-2 694.

[34] Ma R H, Song Q J, Li G Y, et al. Estimation of backscattering probability of lake Taihu waters[J]. Journal of Lake Sciences, 2008, 20(3): 375-379 (in Chinese). 马荣华, 宋庆君, 李国砚, 等. 太湖水体的后向散射概率[J]. 湖泊科学, 2008, 20(3):375-379.

[35] Sosik H M, Mitchell B G. Light absorption by phytoplankton, photosynthetic pigments and detritus in the California Current system[J]. Deep-Sea Research, 1995, 42(10): 1 717-1 748.

[36] Bukata R P, Jerme J H, Kondratyev K Y, et al. Estimation of organic and inorganic matter in inland waters: optical cross sections of lakes Ontario and Ladoga[J]. Journal of Great Lakes Research, 1991, 17(4): 461-469.

[37] Sun D Y, Li Y M, Wang Q, et al. Remote sensing retrieval of CDOM concentration in lake Taihu with hyper-spectral data and neural network model[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 851-855 (in Chinese). 孙德勇, 李云梅, 王桥, 等. 利用高光谱数据估算太湖水体CDOM浓度的神经网络模型[J]. 武汉大学学报:信息科学版, 2009, 34(7):851-855.

[38] Wang L, Zhao D Z, Fu Y N, et al. Correlation between absorption coefficient a_g(440) and the slope S_g of CDOM[J]. Journal of Dalian Maritime University, 2007, 33(S2): 179-182 (in Chinese). 王林, 赵冬至, 傅云娜, 等. 黄色物质吸收系数a_g(440)与斜率S_g相关关系[J]. 大连海事大学学报, 2007, 33(S2):179-182.

[39] Stedmon C A, Markager S, Kaas H. Optical properties and signatures of chromophoric dissolved organic matter (CDOM) in Danish coastal waters[J]. Estuarine, Coastal and Shelf Science, 2000, 51(2):267-278.

[40] Huang C C, Li Y M, Sun D Y, et al. Analysis on influence factors of Q value and its parametrization[J]. Acta Optica Sinica, 2009, 29(8):2 059-2 066 (in Chinese). 黄昌春, 李云梅, 孙德勇, 等. Q值的影响因素分析及其参数化[J]. 光学学报, 2009, 29(8):2 059-2 066.

[41] Huang C C, Li Y M, Sun D Y, et al. Analysis of the influence factors of contribution ratio of multiple scattering process to the value of gin water body[J]. Transactions of Oceanology and Limnology, 2009(4):171-178(in Chinese). 黄昌春, 李云梅, 孙德勇, 等. 水体多次散射作用对分析模型f值贡献率的影响因素分析[J]. 海洋湖沼通报, 2009(4)4:171-178.

[42] Huang C C, Li Y M, Wang Q, et al. Influence of vertical distribution of water consistuent on the remote sensing based on hydrodynamics[J]. Acta Optica Sinica, 2012, 32(2):1-10(in Chinese). 黄昌春, 李云梅, 王桥, 等. 基于水动力学的水体组分垂直结构对遥感信号的影响[J]. 光学学报, 2012, 32(2):1-10.

[43] Huang C C, Li Y M, Sun D Y, et al. The properties of volume scattering function and scattering phase function in lake taihu in autumn[J]. Oceanologia et Limnologia Sinica, 2012, 43(6): 1 051-1 058(in Chinese). 黄昌春, 李云梅, 孙德勇, 等. 太湖秋季水体体散射和散射相函数特征[J]. 海洋与湖沼, 2012, 43(6):1 051-1 058.

[44] Liu Z Y, Cui T Y, Yu J, et al. Spectrum simulation based on data derived from red tide[J]. Spectroscopy and Spectral Analysis, 2011, 31(11): 3 043-3 049 (in Chinese). 刘振宇, 崔廷伟, 余洁, 等. 一次赤潮生消过程的水体光谱模拟[J]. 光谱学与光谱分析, 2011, 31(11):3 043-3 049.