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：1，海洋光学
2，遥测信息
3，应用研究
英文关键词 :1，Ocean optics
2，Remote sensing information
3，Application research
3 .选择检索工具：Elsevier 数据库
4 .构建检索策略：Ocean optics AND Remote sensing information and Application research
5 .简述检索策略调整过程
选定在 Elsevier 中期刊、图书、文摘数据库等全部文献资源中检索2001年以后的有关海洋光学遥测信息应用研究的相关文献。
利用确定的检索策略Ocean optics AND Remote sensing information and Application research，文献全文（含文献题目、摘要、关键词）中检索，检到1131篇相关文献；在文献题目、摘要和关键词中检索，检索到 29篇相关文献；在文献关键词中检索到 14 篇相关文献；
6、整理检索结果：
从以上文献中选择出3条切题文献
1、New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote
sensig Original Research Article Remote sensing of Environment, In Press, Corrected Proof, Available online 12 March 2011
Palanisamy Shanmugam Abstract
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 remote sensing 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.
2、The origin and global distribution of second order variability in satellite ocean color and its potentialapplications to algorithm development Original Research Article
Remote Sensing of Environment, Volume 112, Issue 12, 15 December 2008, Pages 4186-4203
Catherine A. Brown, Yannick Huot, P. Jeremy Werdell, Bernard Gentili, Hervé Claustre
Abstract
Empirical algorithms based on first order relationships between ocean color and the chlorophyll concentration ([Chl]; mg m− 3) are widely used, but cannot explain the statistical dispersion or “anomalies” around the mean trends. We use an empirical approach that removes the first order effects of [Chl] from satellite ocean color, thus allowing us to quantify the impact on the ocean color signal of optical anomalies that vary independently of the global mean trends with remotely sensed [Chl]. We then present statistical and modeling analyses to interpret the observed anomalies in terms of their optical sources (i.e. absorption and backscattering coefficients). We identify two main sources of second order variability for a given [Chl]: 1) the amount of non-algal absorption, especially due to colored dissolved organic matter; and 2) the amplitude of the backscattering coefficient of particles. The global distribution of the anomalies displays significant regional and seasonal trends, providing important information for characterizing the marine optical environment and for inferring biogeochemical influences. We subsequently use our empirically determined anomalies to estimate the backscattering coefficient of particles and the combined absorption coefficient for colored detrital and dissolved materials. This purely empirical approach provides an independent assessment of second order optical variability for comparison with existing methods that are generally based on semi-analytical models.
3、Remote Sensing of Coastal Waters
Encyclopedia of Ocean Sciences, 2009, Pages 732-741
N. Hoepffner, G. Zibordi
Abstract
Satellite remote sensing and its application to coastal waters are briefly documented, giving emphasis to the retrieval of ocean color products. The
document addresses the complexity of coastal water optics, imposed by unrelated multiple compounds in the water column, affecting the light field through their own absorption and scattering properties. In addition, the minimization of the atomospheric perturbations in satellite coastal imagery is challenged by the presence of continental aerosols, bottom reflectance, and adjacency of land and marine regions. Blue-to-green band ratio algorithms commonly developed for open ocean to determine phytoplankton chlorophyll concentrations are not suitable for the optically complex coastal waters. More sophisticated statistical and mathematical approaches to account for multivariate, nonlinear
bio-optical systems are still under development. The applications of satellite remote sensing in coastal waters are becoming more and more numerous in support to different sectors and community interests. The accuracy of the products may, however, be challenged by the complexity of this environment.
7．全文摘录选择一篇：1. New models for retrieving and partitioning the colored dissolved organic matter in the global ocean
一、篇名：New models for retrieving and partitioning the colored dissolved organic matter in the global ocean
二、著者：Palanisamy Shanmugam
三、著者机构：Ocean Optics and Imaging Group, Department of Ocean
Engineering, Indian Institute of Technology Madras, Chennai — 600036 , IndiaReceived 29 July 2010; revised 6 February 2011;
accepted 12 February 2011. Available online 12 March 2011.
四、文摘：
Abstract
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 remote sensing 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.
五、关键词：Ocan optics; New CDOM models; SeaWiFS; Biogeochemical processes; Global ocean
六、正文：
首段：Colored or chromophoric dissolved organic matter (CDOM) — historically referred to gelbstoff, gilvin or yellow substance — forms a significant fraction of the total DOM pool absorbing light strongly in the ultraviolet and blue domains and thereby plays a number of essential roles in the light-induced biogeochemical and carbon cycling and other processes in the ocean. This optically active component of marine water manifestly modulates the penetration of biologically damaging UVB
radiation in the water column and thus protects phytoplankton and biota ([Blough and Green, 1995] and [Vodacek et al., 1997]). Extending into the visible domain, CDOM absorption (acdom) reduces the photosynthetically
active radiation available to phytoplankton and thus decreases primary production and affects ecosystem structure (Bidigare et al., 1993). High CDOM absorption in the visible domain can also degrade the accuracy of satellite determinations of phytoplankton biomass particularly in Case 2 waters ([Carder et al., 1991], [Mannino et al., 2008] and [Muller-Karger et al., 1989]). CDOM is also a primary reactant in the photoproduction of atmospherically important trace gasses CO2, CO, H2O2 and COS (Nelson
& Siegel, 2002), in addition to yielding low-molecular-weight labile carbonyl compounds that are readily available for consumption by microbial communities (Vodacek et al., 1997).
末段：This work was supported by grants from the Space ApplicationCentre (SAC), Ahmedabad (No.OEC/0809/089/SACX/PSHA). The author
gratefully acknowledges Dr. Yu-Hwan Ahn and Dr. Joo-Hyung Ryu, Korea Ocean Research and Development Institute, Seoul, Korea for the KORDI in situ
datasets. The author gratefully acknowledges the NASA Ocean Biology Processing Group for making available the global, high quality in situ bio-optical (NOMAD) dataset as well as the global coverage SeaWiFS data to this study. The authors would also like to thank many scientists who have shared their in situ data in NOMAD and IOCCG databases.
七、参考文献：（References） 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, USA CD-ROM.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. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (4)
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 Research108 (C7) (2003) 10.1029/2001JC000882.
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 | | View Record in Scopus | Cited By in Scopus (63) 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. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (23)
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. Abstract | | View Record in Scopus | Cited By in Scopus (14)
Blough and Green, 1995 N.V. Blough and S.A. Green, Spectroscopic characterization and remote sensing of non-living organic matter. In:
R.G. Zepp and C. Sonntag, Editors, The role of non-living organic matter in the earths carbon cycle, John Wiley & Sons (1995), pp. 23–45.
Boss et al., 2001 E. Boss, W.S. Pegau, R.V. Zaneveld and A.H. Barnard, Spatial and temporal variability of absorption by dissolved material at a continental shelf, Journal of Geophysical Research 106 (2001), pp. 9499–9507. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (35)
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：1，海洋光学
2，遥测信息
3，应用研究
英文关键词 :1，Ocean optics
2，Remote sensing information
3，Application research
3 .选择检索工具：Elsevier 数据库
4 .构建检索策略：Ocean optics AND Remote sensing information and Application research
5 .简述检索策略调整过程
选定在 Elsevier 中期刊、图书、文摘数据库等全部文献资源中检索2001年以后的有关海洋光学遥测信息应用研究的相关文献。
利用确定的检索策略Ocean optics AND Remote sensing information and Application research，文献全文（含文献题目、摘要、关键词）中检索，检到1131篇相关文献；在文献题目、摘要和关键词中检索，检索到 29篇相关文献；在文献关键词中检索到 14 篇相关文献；
6、整理检索结果：
从以上文献中选择出3条切题文献
1、New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote
sensig Original Research Article Remote sensing of Environment, In Press, Corrected Proof, Available online 12 March 2011
Palanisamy Shanmugam Abstract
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 remote sensing 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.
2、The origin and global distribution of second order variability in satellite ocean color and its potentialapplications to algorithm development Original Research Article
Remote Sensing of Environment, Volume 112, Issue 12, 15 December 2008, Pages 4186-4203
Catherine A. Brown, Yannick Huot, P. Jeremy Werdell, Bernard Gentili, Hervé Claustre
Abstract
Empirical algorithms based on first order relationships between ocean color and the chlorophyll concentration ([Chl]; mg m− 3) are widely used, but cannot explain the statistical dispersion or “anomalies” around the mean trends. We use an empirical approach that removes the first order effects of [Chl] from satellite ocean color, thus allowing us to quantify the impact on the ocean color signal of optical anomalies that vary independently of the global mean trends with remotely sensed [Chl]. We then present statistical and modeling analyses to interpret the observed anomalies in terms of their optical sources (i.e. absorption and backscattering coefficients). We identify two main sources of second order variability for a given [Chl]: 1) the amount of non-algal absorption, especially due to colored dissolved organic matter; and 2) the amplitude of the backscattering coefficient of particles. The global distribution of the anomalies displays significant regional and seasonal trends, providing important information for characterizing the marine optical environment and for inferring biogeochemical influences. We subsequently use our empirically determined anomalies to estimate the backscattering coefficient of particles and the combined absorption coefficient for colored detrital and dissolved materials. This purely empirical approach provides an independent assessment of second order optical variability for comparison with existing methods that are generally based on semi-analytical models.
3、Remote Sensing of Coastal Waters
Encyclopedia of Ocean Sciences, 2009, Pages 732-741
N. Hoepffner, G. Zibordi
Abstract
Satellite remote sensing and its application to coastal waters are briefly documented, giving emphasis to the retrieval of ocean color products. The
document addresses the complexity of coastal water optics, imposed by unrelated multiple compounds in the water column, affecting the light field through their own absorption and scattering properties. In addition, the minimization of the atomospheric perturbations in satellite coastal imagery is challenged by the presence of continental aerosols, bottom reflectance, and adjacency of land and marine regions. Blue-to-green band ratio algorithms commonly developed for open ocean to determine phytoplankton chlorophyll concentrations are not suitable for the optically complex coastal waters. More sophisticated statistical and mathematical approaches to account for multivariate, nonlinear
bio-optical systems are still under development. The applications of satellite remote sensing in coastal waters are becoming more and more numerous in support to different sectors and community interests. The accuracy of the products may, however, be challenged by the complexity of this environment.
7．全文摘录选择一篇：1. New models for retrieving and partitioning the colored dissolved organic matter in the global ocean
一、篇名：New models for retrieving and partitioning the colored dissolved organic matter in the global ocean
二、著者：Palanisamy Shanmugam
三、著者机构：Ocean Optics and Imaging Group, Department of Ocean
Engineering, Indian Institute of Technology Madras, Chennai — 600036 , IndiaReceived 29 July 2010; revised 6 February 2011;
accepted 12 February 2011. Available online 12 March 2011.
四、文摘：
Abstract
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 remote sensing 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.
五、关键词：Ocan optics; New CDOM models; SeaWiFS; Biogeochemical processes; Global ocean
六、正文：
首段：Colored or chromophoric dissolved organic matter (CDOM) — historically referred to gelbstoff, gilvin or yellow substance — forms a significant fraction of the total DOM pool absorbing light strongly in the ultraviolet and blue domains and thereby plays a number of essential roles in the light-induced biogeochemical and carbon cycling and other processes in the ocean. This optically active component of marine water manifestly modulates the penetration of biologically damaging UVB
radiation in the water column and thus protects phytoplankton and biota ([Blough and Green, 1995] and [Vodacek et al., 1997]). Extending into the visible domain, CDOM absorption (acdom) reduces the photosynthetically
active radiation available to phytoplankton and thus decreases primary production and affects ecosystem structure (Bidigare et al., 1993). High CDOM absorption in the visible domain can also degrade the accuracy of satellite determinations of phytoplankton biomass particularly in Case 2 waters ([Carder et al., 1991], [Mannino et al., 2008] and [Muller-Karger et al., 1989]). CDOM is also a primary reactant in the photoproduction of atmospherically important trace gasses CO2, CO, H2O2 and COS (Nelson
& Siegel, 2002), in addition to yielding low-molecular-weight labile carbonyl compounds that are readily available for consumption by microbial communities (Vodacek et al., 1997).
末段：This work was supported by grants from the Space ApplicationCentre (SAC), Ahmedabad (No.OEC/0809/089/SACX/PSHA). The author
gratefully acknowledges Dr. Yu-Hwan Ahn and Dr. Joo-Hyung Ryu, Korea Ocean Research and Development Institute, Seoul, Korea for the KORDI in situ
datasets. The author gratefully acknowledges the NASA Ocean Biology Processing Group for making available the global, high quality in situ bio-optical (NOMAD) dataset as well as the global coverage SeaWiFS data to this study. The authors would also like to thank many scientists who have shared their in situ data in NOMAD and IOCCG databases.
七、参考文献：（References） 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, USA CD-ROM.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. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (4)
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 Research108 (C7) (2003) 10.1029/2001JC000882.
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 | | View Record in Scopus | Cited By in Scopus (63) 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. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (23)
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. Abstract | | View Record in Scopus | Cited By in Scopus (14)
Blough and Green, 1995 N.V. Blough and S.A. Green, Spectroscopic characterization and remote sensing of non-living organic matter. In:
R.G. Zepp and C. Sonntag, Editors, The role of non-living organic matter in the earths carbon cycle, John Wiley & Sons (1995), pp. 23–45.
Boss et al., 2001 E. Boss, W.S. Pegau, R.V. Zaneveld and A.H. Barnard, Spatial and temporal variability of absorption by dissolved material at a continental shelf, Journal of Geophysical Research 106 (2001), pp. 9499–9507. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (35)