A biooptical model of retrieving petroleum concentration in seawater

HUANG Miaofen; SONG Qingjun; XING Xufeng; ZHAO Zulong

doi:10.1007/s13131-014-0478-6

水体石油类物质生物-光学遥感反演模型

doi: 10.1007/s13131-014-0478-6

1.
Dalian Ocean University, Dalian 116023, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

基金项目: The National Natural Science Foundation of China under contract No. 41271364; the Key Projects in the National Science and Technology Pillar Program of China under contract No. 2012BAH32B01-4; the Liaoning Province Excellent Talents in Universities of China under contract No. LR2011019.

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出版历程
- 收稿日期: 2013-06-07
- 修回日期: 2013-12-16

A biooptical model of retrieving petroleum concentration in seawater

1.
Dalian Ocean University, Dalian 116023, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

摘要

摘要: 以辐射传输理论为基础的生物-光学遥感模型主要原理是将常规水色因子(叶绿素、悬浮物和黄色物质等)的固有光学特性(吸收系数和后向散射系数)与表观光学特性(遥感反射率)联系起来，然后根据多光谱遥感数据源同时反演出各水色因子的浓度。目前该模型在提取二类水体水色要素浓度（叶绿素、悬浮泥沙和黄色物质等）方面得到了相对广泛的应用。利用大量现场测定的水质数据和对应水样的表观光学特性及固有光学特性，对石油物质固有光学特性进行参数化；充分利用现有的水色因子固有光学特性的参数模型，将石油物质作为一种新的水色因子引入生物-光学模型中，建立了水体石油类物质浓度遥感提取模型。结合2008年5月、2009年8月和2010年6月在辽东湾测量的数据，利用所建立的生物-光学模型中提取海水中的石油类浓度，结果显示该模型具有较高的反演精度，这表明有望利用遥感技术估算海水中石油含量。
- 生物-光学模型,水色因子,参数化,石油含量
Abstract: A biooptical modeling, which is based on a radiation transfer model, can be employed to simultaneously retrieve the concentration of various colour factors by multi-spectral remote sensing data, after connecting inherent optical properties (absorption coefficient and backward scattering coefficient) of colour factor with apparent optical properties (remote sensing reflectivity). At present, this method has been used in a relatively wide range of applications in the inversion of a conventional water colour factor concentration in the case II water body: applications such as chlorophyll, suspended sediment, yellow substance. On the basis of extensive field testing data of water quality, correspondingly apparent optical properties, and the full use of the existing parametric model of colour factor inherent optical properties (with the parametrization of petroleum substance inherent optical properties established in the project) the remote recognition model for oil concentration is established by introducing oil as a new water colour factor into a biooptical remote algorithm. The estimated value of the oil concentration was obtained by solving the biooptical model, using the data measured in May 2008 and August 2009 and June 2010 in seawater. The highly accurate inversion result promises to estimate the oil concentration in water for remote sensing.
- biooptical model

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参考文献(22)

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文章访问数: 1376
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水体石油类物质生物-光学遥感反演模型

doi: 10.1007/s13131-014-0478-6

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A biooptical model of retrieving petroleum concentration in seawater

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