利用英文全文数据库 - Elsevier

一． 利用英文全文数据库——Elsevier

1. 检索课题名称：海洋光学遥测信息应用研究 2. 课题分析：

中文关键词:遥感 海洋光学 应用

英文关键词：remote sensing Ocean Optics Application 3. 选择检索工具：Elsevier 数据库 4. 构建策略

检索算法：remote sensing AND Ocean Optics AND Application 5. 调整过程

选择search，在框中输入remote sensing ，第二个框中输入Ocean Optics ，在all fields里有 3,035 个结果，在关键词里搜到9个结果，在摘要里搜出12个结果。 6. 整理检索结果 选出三条结果，如下：

1.

A vector radiative transfer model of coupled ocean–atmosphere system using matrix-operator

method for rough sea-surface Original Research Article

Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 111, Issue 10, July 2010,

Pages 1426-1448

Xianqiang He, Yan Bai, Qiankun Zhu, Fang Gong

Show preview | Related articles | Related reference work articles . 2

New models for retrieving and partitioning the colored dissolved organic matter in the global ocean:

Implications for remote sensing Original Research Article

Remote Sensing of Environment, Volume 115, Issue 6, 15 June 2011, Pages 1501-1521 Palanisamy Shanmugam

Show preview | PDF (4152 K) | Related articles | Related reference work articles Research highlights

? We developed new models for predicting the spectral behavior of colored dissolved organic

matter and differentiating and classifying its nature and types in global ocean waters. ? The new models will increase our current understanding of its spatial and temporal distributions and the factors controlling these distributions in global ocean waters ? They will help standardize the analysis of the its absorption curve and provide more complete information on its chemical composition.

3

Remote Sensing of Coastal Waters

Encyclopedia of Ocean Sciences (Second Edition), 2009, Pages 732-741 N. Hoepffner, G. Zibordi

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7. 全文摘录，选择第二条

1) 篇名

New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote sensing

2) 著者

Palanisamy Shanmugam 3) 著者机构 时间

Ocean Optics and Imaging Group, Department of Ocean Engineering, Indian Institute of Technology Madras, Chennai — 600036, India

Received 29 July 2010; revised 6 February 2011; Accepted 12 February 2011. Available online 12 March 2011 4) 摘要

Despite the importance of CDOM to upper ocean biogeochemical processes and optics, our current understanding of its spatial and temporal distributions and the factors controlling these distributions is very limited. This eventually prevents an understanding of its relationship to the pool of dissolved organic carbon in coastal and open oceans. This work aims to present a new approach for accurate modeling of absorption spectra of CDOM (acdom) and deriving information on its composition in global ocean waters. The modeling approach uses measurements (in situ) of the remotesensing reflectances at two wavelengths (denoted 443555Rrs) to estimate acdom(350) and acdom(412), applies them to determine two spectral slopes of an exponential curve fit (S) and a hyperbolic curve fit (γ), derives an appropriate parameter (γo) for grading the CDOM compositional changes from acdom (350) and γ, and finally employs acdom(350), S, and γo in a modified exponential model to describe acdom(λ) as a function of wavelength. The robustness of this model was rigorously tested on three independent datasets, such as NOMAD in situ data, NOMAD SeaWiFS match-ups data and IOCCG simulated data (all of them contain acdom(λ) and Rrs(λ)), which represent a variety of waters within coastal and offshore regions around the world. Accuracy of the retrievals found with the new models was generally excellent, with MRE (mean relative error) and RMSE (root mean square error) of ? 5.64–3.55% and 0.203–0.318 for the NOMAD in situ datasets, and ? 5.63 to ?0.98% and 0.136–0.241 for the NOMAD satellite datasets respectively (for λ412 to λ670). When used with SeaWiFS images collected over the regional and global waters,

the new model showed the highest surface abundances of CDOM within the subpolar gyres and continental shelves dominated by terrestrial inputs (and perhaps local production) of colored dissolved materials, and the lowest surface abundances of CDOM in the central subtropical gyres and the open oceans presumably regulated by photobleaching phenomenon, bacterial activity and local processes. Significant interseasonal and interannual seasonal changes in the terrestrially-derived CDOM distributions were noticed from these new products that closely corresponded with the global mean runoff/river discharge induced by climate change/warming scenarios. 5) 关键词

Ocean optics; New CDOM models; SeaWiFS; Biogeochemical processes; Global ocean 6) 正文概括 1. Introduction 2. Data and methods 2.1. In situ data

2.2. In situ CDOM absorption data 2.3. Field radiometric data 2.4. Satellite data

2.5. Performance assessment methods

3. Modeling approach 4. Results and discussions

4.1. Algorithms and their assessment for the new model

4.1.1. Derivation of the S and γ parameters and their relationship 4.1.2. Estimation of the slope parameters

4.1.3. Assessment of the estimated slope parameters

4.1.4. Impact of the slope parameters on the determination of acdom(λ) 4.1.5. Estimation of the acdom (350) and acdom (412)

4.2. Detailed validation of the new model

5. Application to satellite imagery 5.1. Regional application 5.2. Global application

5.3. Satellite assessments of the S, γ, and γ° and their implications

5.4. Relationship between river discharge and global terrestrial CDOM distribution

6. Implications for studying of dissolved organic carbon (DOC) 7. Summary and conclusions Acknowledgements 7) 参考文献

Aas 2000 Aas, E. (2000). Spectral slope of yellow substance: problems caused by small particles, Proceedings Ocean Optics XV, Monaco, 16-20 October Office of Naval Research,

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Ahn et al., 2004 Y.H. Ahn, P. Shanmugam and J.E. Moon, Spatial and temporal patterns in satellite-derived chlorophyll-a concentration and their relation to oceanic processes in the East China Sea and Yellow Sea Proceedings of the Spring Meeting of the Korean Society of Oceanography, Pusan, Korea, 13–14 May 2004 (2004), pp. 183–190.

Ahn et al., 2008 Y.H. Ahn, P. Shanmugam, J.E. Moon and J.H. Ryu, Satellite remote sensing of a low-salinity water plume in the East China Sea. Annales Geophysicae, 26 (2008), pp. 2019–2035.

Austin, 1974 R.W. Austin, Inherent spectral radiance signatures of the ocean surface: Ocean color analysis, Scripps Institute of Oceanography, La Jolla, CA (1974).

Babin et al., 2003 M. Babin, D. Stramski, G.M. Ferrari, H. Claustre, A. Bricaud, G. Obolensky and N. Hoepffner, Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe. Journal of Geophysical Research, 108 C7 (2003).

Baker and Spencer, 2004 A. Baker and R.G.M. Spencer, Characterization of dissolved organic matter from source to sea using fluorescence and absorbance spectroscopy. The Science of the Total Environment, 333 (2004), pp. 217–232. Article | PDF (370 K) | | View Record in

Scopus | | Cited By in Scopus (71)

Bidigare et al., 1993 R.R. Bidigare, M.E. Ondrusek and J.M. Brooks, Influence of the Orinoco River outflow on distributions of algal pigments in the Caribbean Sea. Journal of Geophysical Research, 98 (1993), pp. 2259–2269.

Binding and Bowers, 2003 C.E. Binding and D.G. Bowers, Measuring the salinity of the Clyde Sea from remotely sensed ocean color. Estuarine, Coastal and Shelf Science, 57 (2003), pp. 605–611.

Blough and Green, 1995 N.V. Blough and S.A. Green, Spectroscopic characterization and remote sensing of non-living organic matter, R.G. Zepp, C. Sonntag, Editors , The role of non-living organic matter in the earths carbon cycle, John Wiley & Sons (1995), pp. 23–45.

Siegel and Michaels, 1996 D.A. Siegel and A.F. Michaels, Quantification of non-algal light attenuation in the Sargasso Sea: Implications for biogeochemistry and remote sensing. Deep-Sea Research II, 43 (1996), pp. 321–345.

Smith and Baker, 1981 R.C. Smith and K.S. Baker, Optical properties of the clearest natural waters (200–800 nm). Applied Optics, 20 (1981), pp. 177–184.

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