全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
湖泊科学  2009 

基于水体反射光谱和组分浓度的固有光学特性反演算法

DOI: 10.18307/2009.0208

Keywords: 后向散射系数,吸收系数,反射光谱,组分浓度

Full-Text   Cite this paper   Add to My Lib

Abstract:

吸收系数和后向散射系数是水体的固有光学特性参数,在探测水体中各组分浓度的过程中起着至关重要的作用.但通常组分固有光学特性的测定是一个操作复杂且费时费力的过程.提出了一种利用已知组分浓度和相应的反射光谱的水体样本来推定水体中各组分的吸收和后向散射系数的算法,并利用生物光学模型产生的模拟光谱数据对算法的合理性进行了验证.结果表明,在理想的实验条件下(反射光谱满足机理模型,且选取的训练样本相互独立),可以高精度地反演出各组分的固有光学特性,从而证实了本算法在理论上的合理性.

References

[1]  Morel A, Prieur L. Analysis of variations in ocean color. Limnology and Oceanography, 1977, 22: 709-722.
[2]  Gin KYH, Koh ST, Lin II. Spectral irradiance profile of suspended marine clay for the estimation of suspended sediment concentration in tropical waters. International Journal of Remote Sensing, 2003, 24: 3235-3245.
[3]  Gin KYH, Koh ST, Lin II. Study of the effect of suspended marine clay on the reflectance spectra of phytoplankton. International Journal of Remote Sensing, 2002, 23: 2163-2178.
[4]  Forget P, Broche P, Naudin JJ. Reflectance sensitivity to solid suspended sediment stratification in coastal water and inversion: a case study. Remote Sensing of Environment, 2001, 77: 92-103.
[5]  Gordon HR, Brown OB, Jacobs MM. Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean. Applied Optics, 1975, 14(2): 417-427.
[6]  Gordon HR, Brown OB, Evens RH et al. A semianalytic radiance model of ocean color. Journal of Geophysical Research, 1988, 93D: 10909-10924.
[7]  Giardino C, Pepe M, Brivio PA et al. Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat image
[8]  李素菊, 王学军. 内陆水体水质参数光谱特征与定量遥感. 地理学与国土研究, 2002, (2): 26-29.
[9]  Haltrin VI. Self-consistent approach to the solution of the light transfer problem for irradiances in marine waters with arbitrary turbidity, depth, and surface illumination: I: case of absorption and elastic scattering. Applied Optics, 1998, 37(18): 3773-3784.
[10]  Sathyendranath S, Cota G, Stuart V et al. Remote sensing of phytoplankton pigments: a comparison of empirical and theoretical approaches. International Journal of Remote Sensing, 2001, 22: 249-273.
[11]  Lee ZP, Carder KL, Peacock TG et al. Method to derive ocean absorption coefficients from remote-sensing reflectance. Applied Optics, 1996, 35: 453-462.
[12]  Lee Z, Carder KL, Hawes SK et al. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. Applied Optics, 2002, 41(27): 5755-5772.
[13]  Brando VE, Dekker AG. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Transaction on Geoscience and Remote Sensing, 2003, 41(6): 1378-1387.
[14]  Oyama Y, Matsushita B, Fukushima 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. International Journal of Remote Sensing, 2007, 28: 1437-1453.
[15]  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. ISPRS Journal of Photogrammetry & Remote Sensing(doi: 10.1016/j.isprsjprs.2008.04.005)(in press).ry. Science of the Total Environment, 2002, 68: 19-29.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133