The IOCCG bibliography is updated periodically when new references are submitted by readers, especially references that are published open access. Another useful ocean colour bibliography is the searchable Historic Ocean Colour Archive assembled by Marcel Wernand, with articles and books written between the 17th and early 20th century.
If you would like to submit a peer-reviewed open access publication to be included in the Ocean Colour Bibliography, please send the reference to Raisha Lovindeer using the following format: Lastname1, Initials1., Lastname2, Initials2., etc. (DATE). Full title of publication, Journal Abbreviation, Volume, Page numbers, DOI as a link. Please also check that the reference is not already in the database (search by first author). It is not necessary to send the PDF file as an attachment. Note that only peer-reviewed articles will be accepted.
If you would like to view recently-published papers, enter the current year in “Search by Keyword”. You can also search the database using keywords or the author’s last name. For papers dealing with Remote Sensing of Marine Litter and Debris, use the keyword “RSMLD”. You can also view the Datasets Bibliography for remote sensing and marine litter and debris.
Bibliography
Gordon, H.R., Clark, D.K., Brown, J.W., Brown, O.B. and Evans, R.H. (1982). Satellite measurement of the phytoplankton pigment concentration in the surface waters of a warm core Gulf Stream ring. J. Mar. Res., 40: 491-502.
Gordon, H.R., Clark, D.K., Brown, J.W., Brown, O.B., Evans, R.H. and Broenkow, W.W. (1983). Phytoplankton pigment concentrations in the Middle Atlantic Bight: comparison of ship determinations and CZCS estimates. Appl. Optics, 22: 20-36.
Gordon, H.R., Clark, D.K., Mueller, J.L. and Hovis, W.A. (1980a). Nimbus-7 coastal zone color scanner: system description and initial imagery. Science, 210: 60-66.
Gordon, H.R., Clark, D.K., Mueller, J.L. and Hovis, W.A. (1980b). Phytoplankton pigments from the Nimbus-7 Coastal Zone Color Scanner: comparisons with surface measurements. Science, 210: 63-66.
Gould, R.W., Arnone, R.A., and Martinolich, P.M. (1999). Modeling spectral backscattering in coastal waters. Appl. Optics, 38: 2377-2383.
Govaerts, Y.M., Verstraete, M.M., Pinty, B. and Gobron, N. (1999). Designing optimal spectral indices: a feasibility and proof of concept study. Intl. J. Rem. Sens., 20(9): 1853-1874.
Gower, J. and King, S. (2007) Validation of chlorophyll fluorescence derived from MERIS on the west coast of Canada. International Journal of Remote Sensing 28(3): 625 – 635 DOI: 10.1080/01431160600821010
Gower, J. and King, S. (2008). Satellite images show the movement of floating Sargassum in the Gulf of Mexico and Atlantic Ocean. Nature Precedings, hdl:10101/npre.2008.1894.1
Gower, J.F.R. (1994). Red tide monitoring using AVHRR HRPT imagery from a local receiver. Remote Sens. Environ., 48: 309-318.
Gower, J.F.R., Borstad, G.A., Gray, L.H. and Edel, H.R. (1988). The fluorescence line imager: high-resolution imaging spectroscopy over water and land. In: Proceedings of the 4th International Colloquium on Spectral Signatures of Objects in Remote Sensing, Aussois, France, 18–22 January 1988, 273-278.
Gower, J.F.R., Doerffer, R. and Borstad, G.A. (1999). Interpretation of the 685 nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS. Intl. J. Remote Sens., 20(9): 1771-1786.
Gower, J.F.R., Lin, S., Borstad, G.A. (1984). The information content of different optical spectral ranges for remote chlorophyll estimation in coastal waters. Intl. J. Rem. Sens., 5: 349-364.
Goyens C., Jamet C., and Schroeder T. (2013). Evaluation of four atmospheric correction algorithms for MODIS-Aqua images over contrasted coastal waters. Remote Sensing of Environment 131: 63–75. [PDF File]
Graff, J.R., T.K. Westberry, A.J. Milligan, M. B. Brown, G. Dall’Olmo, V. van Dongen-Vogels, K. M. Reifel, M. J. Behrenfeld (2015). Analytical phytoplankton carbon measurements spanning diverse ecosystems. Deep Sea Research Part I: Oceanographic Research Papers, 102: 16-25. [Full article]
Grassl, H., Pozdnyakov, D., Lyaskovsky, A., Pettersson, L., (2002). Numerical modelling of transspectral processes in natural waters: implications for remote sensing. Intl. J. Rem. Sens., 23(8): 1581-1607.
Gray, P. C., Larsen, G. D., & Johnston, D. W. (2022). Drones address an observational blind spot for biological oceanography. Frontiers in Ecology and the Environment. https://doi.org/10.1002/fee.2472
Green, R. E.; Sosik, H. M.(2004). Analysis of apparent optical properties and ocean color models using measurements of seawater constituents in New England continental shelf surface waters. J. Geophys. Res., Vol. 109, No. C3, C03026 10.1029/2003JC001977. 17 March 2004
Gregg WW. (2008). Assimilation of SeaWiFS ocean chlorophyll data into a three-dimensional global ocean model. J. Mar. Sys.69:205–25
Gregg, W.W. and Carder, K.L. (1990). A simple spectral solar irradiance model for cloudless maritime atmospheres. Limnol. Oceanogr., 35: 1657-1675.
Gregg, W.W. and Rousseaux, C.S. (2014) Decadal trends in global pelagic ocean chlorophyll: A new assessment integrating multiple satellites, in situ data, and models. Journal of Geophysical Research: Oceans, published online September 11, 2014, 13 pages, doi:10.1002/2014JC010158. [Full article]
Gregg, W.W., Casey, N.W., McClain, C.R. (2005). Recent trends in global ocean chlorophyll. Geophys. Res. Lett., 32. 32, L03606, doi:10.1029/2004GL021808, 2005.
Gregg, W.W., Conkright, M. (1999) Global seasonal climatologies of ocean chlorophyll: Blending in situ and satellite data for the Coastal Zone Color Scanner era. Geophys. Res. Lett., 106(C2): p. 2499.
Gregg, W.W., Conkright, M.E. (2001) Global Seasonal Climatologies of Ocean Chlorophyll: Blending In situ and Satellite Data for the CZCS Era, J. Geophys. Res., 106: 2499-2515.
Gregg, W.W., Conkright, M.E. (2002). Decadal changes in global ocean chlorophyll. Geophys. Res. Lett., 29(15):, 10.1029/2002GL014689, 2002.
Gregg, W.W., Conkright, M.E., Ginoux, P., O’Reilly, J.E. and Casey, N.W. (2003). Ocean primary production and climate: Global decadal changes. Geophys. Res. Lett., 30(15): 1809, 10.1029/2003GL016889 09 August 2003.
Gregg, W.W., Friedrichs, M.A.M., Robinson, A.R., Rose, K.A.,Schlitzere, R., . Thompson, K.R. and Doney, S.S. (2008). Skill assessment in ocean biological data assimilation. Journal of Marine Systems 76: 16-33.
Gregg, W.W., Patt, F.S. and Esaias, W.E. (1999). Initial analysis of ocean color data From the ocean color and temperature scanner. II. Geometric and radiometric analysis. Appl. Optics, 38(27): 5692-5702.
Gregg, WW., Casey, NW O’Reilly, JE. and Esaias WE (2009). An empirical approach to ocean color data: Reducing bias and the need for post-launch radiometric re-calibration. Remote Sensing of Environment
GREMPA Group (1988). Satellite (AVHRR/NOAA-9) and ship studies of a coccolithophorid bloom in the western English Channel. Marine Nature, 1: 1-14.
Griffith, D.J., Bone, E.L., Thomalla, S.J. and Bernard, S. (2018). Calibration of an in-water multi-excitation fluorometer for the measurement of phytoplankton chlorophyll-a fluorescence quantum yield. Optics Express , 26 (15 ): 18,863. https://www.osapublishing.org/oe/abstract.cfm?uri=oe-26-15-18863
Groom Steve, Sathyendranath Shubha, Ban Yai, Bernard Stewart, Brewin Robert, Brotas Vanda, Brockmann Carsten, Chauhan Prakash, Choi Jong-kuk, Chuprin Andrei, Ciavatta Stefano, Cipollini Paolo, Donlon Craig, Franz Bryan, He Xianqiang, Hirata Takafumi, Jackson Tom, Kampel Milton, Krasemann Hajo, Lavender Samantha, Pardo-Martinez Silvia, Mélin Frédéric, Platt Trevor, Santoleri Rosalia, Skakala Jozef, Schaeffer Blake, Smith Marie, Steinmetz Francois, Valente Andre, Wang Menghua (2019). Satellite Ocean Colour: Current Status and Future Perspective. Frontiers in Marine Science , 6, Article 486.
https://www.frontiersin.org/article/10.3389/fmars.2019.00485 . https://doi.org/10.3389/fmars.2019.00485
Gross, L., Thiria, S., Frouin, R. and Mitchell, B.G. (2000). Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration. J. Geophys. Res., 105(C2): 3483-3495.
Guedes, P. A., Silva, H. M., Wang, S., Martins, A., Almeida, J., and Silva, E. (2024) Acoustic imaging learning-based approaches for marine litter detection and classification, J. Mar. Sci. Eng., vol. 12, pp 1984, https://doi.org/10.3390/jmse12111984
Guffogg, J. A., Blades, S. M., Soto-Berelov, M., Bellman, C. J., Skidmore, A. K., and Jones, S. D. (2021). Quantifying marine plastic debris in a beach environment using spectral analysis, Remote Sens. (Basel), 13, 4548, https://doi.org/10.3390/rs13224548.
Guffogg, J. A., Soto-Berelov, M., Jones, S. D., Bellman, C. J., Lavers, J. L., and Skidmore, A. K.(2021). Towards the spectral mapping of plastic debris on beaches, Remote Sens. (Basel), 13, 1850, https://doi.org/10.3390/rs13091850.
Guffogg, J., Soto-Berelov, M., Bellman, C., Jones, S., and Skidmore, A. (2024) Beached Plastic Debris Index; a modern index for detecting plastics on beaches, Mar. Pollut. Bull., vol. 209, p. 117124, https://doi.org/10.1016/j.marpolbul.2024.117124
Guidi, L., Gorsky, G., Claustre, H., Picheral, M. and L. Stemmann (2008). Contrasting distribution of aggregates >100 µm in the upper kilometre of the South-Eastern Pacific. Biogeosciences, 5: 1361-1372. [Full text].
Guild, Liane S., Raphael M. Kudela, Stanford B. Hooker, Sherry L. Palacios, and Henry F. Houskeeper (2020). “Airborne radiometry for calibration, validation, and research in oceanic, coastal, and inland waters.” Frontiers in Environmental Science 8: 585529. https://doi.org/10.3389/fenvs.2020.585529
Gunson, J., Oschilies, A., and Garc con, V. (1999). Sensitivity of ecosystem parameters to simulated satellite ocean color data using a coupled physical-biological model of the North Atlantic. J. Mar. Res., 57: 613-639.
Günther, K. P., Dahn, H.-G. and Lüdeker, W. (1994). Remote sensing vegetation status by laser-induced fluorescence. Rem. Sens. Environ., 47: 10-17.
Guo, X. and Li, P. (2020). Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data, ISPRS J. Photogramm. and Remote Sens., 169, 214-226, https://doi.org/10.1016/j.isprsjprs.2020.09.009
Habbane, M., Dubois, J.-M., El-Sabh, M.I. and Larouche, P. (1998). Empirical algorithm using SeaWiFS hyperspectral bands: a simple test. Intl. J. Rem. Sensing, 19(11): 2161-2169.
Haëntjens, N., Boss, E. and Talley, L. D. (2017). Revisiting ocean color algorithms for chlorophyll a and particulate organic carbon in the Southern Ocean using biogeochemical floats. J. Geophys. Res. Oceans, 122, 6583–6593, doi:10.1002/2017JC012844
Haëntjens, N., Boss, E. and Talley, L. D. (2017). Revisiting ocean color algorithms for chlorophyll a and particulate organic carbon in the Southern Ocean using biogeochemical floats. J. Geophys. Res. Oceans, 122, 6583–6593, doi:10.1002/2017JC012844.
Haëntjens, N., Boss, E.S., Graff, J.R., Chase, A.P. and Karp-Boss, L. (2022), Phytoplankton size distributions in the western North Atlantic and their seasonal variability. Limnol Oceanogr. https://doi.org/10.1002/lno.
Haëntjens, N., K. Forsythe, B. Denholm, J. Loftin, and E. Boss. (2022) pySAS: Autonomous solar tracking system for surface water radiometric measurements. Oceanography, https://doi.org/
Hagen, E., Feistel, R., Agenbag, J. J., Ohde, T. (2001). Seasonal and interannual changes in intense Benguela Upwelling (1982-1999). Oceanologica Acta 24(6): 1-12
Haltrin, V.I. (1999). An algorithm to restore spectral signatures of all inherent optical properties of seawater using a value of one property at one wavelength. In: Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition,ERIM Internation, Inc., Ann Arbor, MI, I-680-I-687.
Haltrin, V.I. (1999). Chlorophyll-Based Model of Seawater Optical Properties. Applied Optics, 38(33): 6826-6832.
Hamill, M., Magee, B., and Millar, P.(2020) Application of remote sensing for automated litter detection and management, in: Advances in Computer Vision, in Computer Vision Conference (CVC 2019), 2-3 May 2019, Las Vegas, USA, 2020, 157-168, https://doi.org/10.1007/978-3-030-17798-0_15
The sixth International Ocean Colour Science (IOCS) meeting will take place in Darmstadt, Germany from 1 – 4 December 2025, hosted by EUMETSAT and ESA with support from other agencies.