Modeling spectral reflectance of optically complex waters using bio-optical measurements from Tokyo Bay

被引:59
作者
Feng, H [1 ]
Campbell, JW
Dowell, MD
Moore, TS
机构
[1] Hampton Univ, Ctr Atmospher Sci, Hampton, VA 23668 USA
[2] Univ New Hampshire, Inst Study Earth Oceans & Space, Ocean Proc Anal Lab, Durham, NH 03824 USA
[3] Commiss European Communities, Joint Res Ctr, Inland & Marine Waters Unit, I-21020 Ispra, Italy
关键词
ocean color; remote sensing; forward and inverse modeling;
D O I
10.1016/j.rse.2005.08.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents an approach for optimally parameterizing a reflectance model. A parameterization scheme is realized based on a comprehensive bio-optical data set, including subsurface downwelling and upwelling irradiance spectra, absorption spectra of particle and dissolved substances, as well as chlorophyll and total suspended matter concentrations at 45 stations near Tokyo Bay between 1982 and 1984. The irradiance reflectance model is implemented with three-component inherent optical property submodels. In this parameterization scheme, an unsupervised classification was applied in the hyper-spectral space of reflectance, leading to three spectrally distinct optical water types. The reflectance model was parameterized for the entire data set, and then parameterized for each of the water types. The three sets of type-specific model parameters, which define corresponding IOP submodels, are believed to accommodate differences in the optical properties of the in-water constituents. The parameterized reflectance model was evaluated by both reconstructing measured reflectance spectra and solving for the nonlinear inverse problem to retrieve in-water constituent concentrations. The model accuracy was significantly improved in the forward direction for classified waters over that of non-classified waters, but no significant improvement was achieved in the retrieval accuracy (inverse direction). A larger data set with greater resolution of constituent inherent optical properties would likely improve the modeling results. (C) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:232 / 243
页数:12
相关论文
共 35 条
  • [1] Bezdek J. C., 1981, Pattern recognition with fuzzy objective function algorithms
  • [2] Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters:: Analysis and implications for bio-optical models
    Bricaud, A
    Morel, A
    Babin, M
    Allali, K
    Claustre, H
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C13) : 31033 - 31044
  • [3] VARIABILITY IN THE CHLOROPHYLL-SPECIFIC ABSORPTION-COEFFICIENTS OF NATURAL PHYTOPLANKTON - ANALYSIS AND PARAMETERIZATION
    BRICAUD, A
    BABIN, M
    MOREL, A
    CLAUSTRE, H
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1995, 100 (C7) : 13321 - 13332
  • [4] BRICAUD A, 1981, LIMNOL OCEANOGR, V26, P43
  • [5] BUKATA R. P., 1995, OPTICAL PROPERTIES R
  • [6] ESTIMATION OF ORGANIC AND INORGANIC MATTER IN INLAND WATERS - OPTICAL-CROSS-SECTIONS OF LAKES ONTARIO AND LADOGA
    BUKATA, RP
    JEROME, JH
    KONDRATYEV, KY
    POZDNYAKOV, DV
    [J]. JOURNAL OF GREAT LAKES RESEARCH, 1991, 17 (04) : 461 - 469
  • [7] MARINE HUMIC AND FULVIC-ACIDS - THEIR EFFECTS ON REMOTE-SENSING OF OCEAN CHLOROPHYLL
    CARDER, KL
    STEWARD, RG
    HARVEY, GR
    ORTNER, PB
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 1989, 34 (01) : 68 - 81
  • [8] Inversion of oceanic constituents in case I and II waters with genetic programming algorithms
    Chami, M
    Robilliard, D
    [J]. APPLIED OPTICS, 2002, 41 (30) : 6260 - 6275
  • [9] Simultaneous retrieval of oceanic and atmospheric parameters for ocean color imagery by spectral optimization: a validation
    Chomko, RM
    Gordon, HR
    Maritorena, S
    Siegel, DA
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 84 (02) : 208 - 220
  • [10] FENG H, 1998, J ADV MARINE SCI TEC, V4, P265