The IOCCG bibliography is updated periodically when new references are submitted by readers. 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 publication to be included in the IOCCG 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 (if available). Please also check to see if 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
Gholamalifard, M., Esmaili-Sari, A., Abkar, A., Naimi, B., Kutser, T. (2013). Influence of Vertical Distribution of Phytoplankton on Remote Sensing Signal of Case II Waters: A Southern Caspian Sea Case Study. J. Appl. Remote Sens., 7(1): 073550-1 –12.
Gholamalifard, M., Kutser, T., Esmaili-Sari, A., Abkar, A., Naimi, B. (2013). Remotely Sensed Empirical Modeling of Bathymetry in the South eastearn Caspian Sea. Remote Sensing, 5(6): 2746-2762.
Giannini, F.; Hunt, B. P.V.; Jacoby, D.; Costa, M. (2021). Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2021.112317
Gibb, S.W., Barlow, R.G., Cummings, D.G., Rees, N.W., Trees, C.C., Holligan, P. and Suggett, D. (2000). Surface phytoplankton pigment distributions in the Atlantic Ocean: an assessment of basin scale variability between 50°N and 50°S. Prog. Oceanogr.,45(3-4): 339-368.
Gibb, S.W., Cummings, D.G., Irigoien, X., Barlow, R.G., Fauzi, R., and Mantoura, C. (2001). Phytoplankton pigment chemotaxonomy of the northeastern Atlantic. Deep-Sea Res. II, 48: 795-823.
Gilerson, A., Zhou, J., Hlaing, S., Ioannou, I., Gross, B., Moshary, F., and Ahmed, S. (2008). Fluorescence Component in the Reflectance Spectra from Coastal Waters. II. Performance of retrieval algorithms. Optics Express 16: 2446-2460.
Gilerson, A., Zhou, J., Hlaing, S., Ioannou, I., Schalles, J., Gross, B., Moshary, F., Ahmed, S. (2008). Fluorescence component in the reflectance spectra from coastal waters. I Dependence on water composition. Optics Express, 15(24):15702–22 15,702-15,721.
Gilerson, I., Zhou, J., Oo, M., Chowdhary, J., Gross, B., Moshary, F. and Ahmed, S. (2006). Retrieval of fluorescence from reflectance spectra of algae in sea water through polarization discrimination: modeling and experiments, Applied Optics, 45(2: 5568-5581.
Gilerson,A., E. Herrera Estrella, J. Agagliate, R. Foster, J. I. Gossn, D. Dessailly, E. Kwiatkowska, (2023) Determining the primary sources of uncertainty in the retrieval of marine remote sensing reflectance from satellite ocean color sensors II. Sentinel 3 OLCI sensors, Frontiers in Remote Sensing, 4. https://doi.org/10.3389/frsen.2023.1146110
Giles-Guzmán, A.D. and Alvarez-Borrego, S. (2000). Vertical Attenuation Coefficient of Photosynthetically Active Radiation as a Function of Chlorophyll Concentration and Depth in Case 1 Waters Appl. Optics, 39(9): 1351-1358.
Gitelson, A.A., Laorawat, S., Keydan, G.P. and Vonshak, A. (1995). Optical properties of dense algal cultures outdoors and their application to remote estimation of biomass and pigment concentration in Spirulina platensis (cyanobacteria). J. Phycol., 31: 828-834.
Gittings, J. A., Dall’Olmo, G., Tang, W., Llort, J., Jebri, F., Livanou, E., … & Raitsos, D. E. (2024). An exceptional phytoplankton bloom in the southeast Madagascar Sea driven by African dust deposition. PNAS nexus, 3(10), pgae386. https://doi.org/10.1093/pnasnexus/pgae386
Gjerstad, K. I., Stamnes, J. J., Hamre, B., Lotsberg, J. K., Yan, B. and Stamnes, K. (2003). Monte Carlo and discrete-ordinate simulations of irradiances in the coupled atmosphere-ocean system. Applied Optics, 42: 2609-2622.
Gnann, N., Baschek, B., Ternes, T. A. (2022). Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review. Water Research: 222, 118902, https://doi.org/10.1016/j.watres.2022.118902 .
Gobron, N., Pinty, B., Verstraete, M. and Govaerts, Y. (1999). The MERIS Global Vegetation Index (MGVI): description and preliminary application. Intl. J. Remote Sens., 20(9): 1917.
Godby, E.A. and Otterman, J. (1978). The remote sensing of chlorophyll. In: COSPAR: The Contribution of Space Observations to Global Food Information Systems, E. A. Godby and J. Otterman (eds.), Pergamon Press, Oxford, New York, 161-172.
Goddijn-Murphy, L., Martínez-Vicente, V., Dierssen, H.M., Raimondi, V., Gandini, E., Foster, R., Chirayath, V. (2024) Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter. Remote Sens. 16(10), 1770; doi.org/10.3390/rs16101770.
Goddijn-Murphy, L., Williamson, B. (2019). On Thermal Infrared Remote Sensing of Plastic Pollution in Natural Waters, Remote Sens., 11, 18: 2159. https://doi.org/10.3390/rs11182159
Goddijn-Murphy, L., Williamson, B.J., McIlvenny, J., Corradi, P. (2022). Using a UAV Thermal Infrared Camera for Monitoring Floating Marine Plastic Litter. Remote Sens. 14, 13:3179. https://doi.org/10.3390/rs14133179
Goddijn-Murphy, L.M., Dufaur, J. (2018). Proof of concept for a model of light reflectance of plastics floating on natural waters, Mar. Pollut. Bull., 135, 1145-1157. https://doi.org/10.1016/j.marpolbul.2018.08.044
Goddijn-Murphy, L.M., Peters, S., Van Sebille, E., James, N. A., Gibb, S. (2018). Concept for a hyperspectral remote sensing algorithm for floating marine macro plastics, Mar. Pollut. Bull., 126, 255–262. https://doi.org/10.1016/j.marpolbul.2017.11.011
Goela, P.C., Icely, J., Cristina, S., Newton, A., Moore, G., Cordeiro, C. (2014). Specific absorption coefficient of phytoplankton off the Southwest coast of the Iberian Peninsula: a contribution to algorithm development for ocean colour remote sensing. Cont. Shelf Res. 52(1): 119–132. [Full article]
Goes, J. I., Gomes, H. do R, Limsakul, A., Balch W.B., Saino, T. (2001). El Niño related interannual variations in biological production in the North Pacific as evidenced by satellite and ship data. Progress in Oceanography 49: 211-225.
Goes, J. I., Gomes, H. do R, Limsakul, A., Balch W.B., Saino, T. (2004). The influence of large scale environmental changes on carbon export in the North Pacific ocean using satellite and shipboard data. Deep-Sea Research II , Special Volume on ‘Views of Ocean Processes from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Mission’, 51: 247-279.
Goes, J. I., Gomes, H. do R., Saino, T., Wong, C.S., Mordy, C.W. (2004). Exploiting MODIS Terra and Aqua data for estimating Sea Surface Nitrate concentrations from space. EOS, Transcations, American Geeophysical Union, November, 2004, 85: 449, 454.
Goes, J. I., Prasad, T. G., Gomes, H. R. and Fasullo, J. T. (2005). Warming of the Eurasian landmass is making the Arabian Sea more productive. Science, 308: 545-547.
Goes, J. I., Saino, T., Ishizaka, J., Wong, C. S., Nojiri, Y. (2000). Estimating sea surface nitrate from space by compound remote sensing. Geophysical Research Letters, 27: 1263-1265.
Goes, J. I., Sasaoka, K. Gomes, H. do R. , Saitoh, S. and Saino, T. (2004). A comparison of the seasonality and interannual variability in phytoplankton biomass and production in the western and eastern gyres of the subarctic Pacific using multi-sensor satellite data. J. Oceanography, 60, 75-91.
Goes, J.I., Saino, T., Oaku, H., and Jiang, D.L. (1999). A method for estimating sea surface nitrate concentrations from remotely sensed SST and chlorophyll a -A case study for the North Pacific Ocean using OCTS/ADEOS data. IEEE Trans. Geosci. Rem. Sens.37: 1633-1644.
Goes, J.I., Saino, T., Oaku, H., Ishizaka, J., Wong, C.S., and Nojiri, Y. (2000). Basin scale estimates of sea surface nitrate and new production from remotely sensed sea surface temperature and chlorophyll. Geophys. Res. Lett. 27: 1263-1266.
Goes, J.I., Thoppil, P.G., Gomes, H.R. and Fasullo, J.T. (2005). Warming of the Eurasian landmass is making the Arabian Sea more productive. Science, 308: 454-457.
Gohin F., Loyer S., Lunven M., Labry C., Froidefond J.M., Delmas D., Huret M., and Herbland A. (2005). Satellite-derived parameters for biological modelling in coastal waters: Illustration over the eastern continental shelf of the Bay of Biscay. Remote Sensing of Environment, 95 (1): 29-46, 2005.
Gohin F., Saulquin B., Oger-Jeanneret H., Lozac’h L., Lampert L., Lefebvre A., Riou P., and Bruchon F. (2008). Towards a better assessment of the ecological status of coastal waters using satellite-derived chlorophyll-a concentrations. Remote Sensing of Environment, 112:(8) 3329-3340.
Gohin, F., Druon, J.N., and Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. Intl. J. Rem. Sens., 23(8): 1639 – 1661.
Gohin, F., Lampert, L., Guillaud, J.F., Herbland, A., and Nézan, E. (2003). Satellite and in situ observations of a late winter phytoplankton bloom in the northern Bay of Biscay. Continental Shelf Research, 23: 1117-1141.
Gomes, H.R., Goes, J.I., and Saino, T. (2000). Influence of physical processes and freshwater discharge on the seasonality of phytoplankton regime in the Bay of Bengal. Cont. Shelf Res., 20(3): 313-330.
Gómez, À. S., Scandolo, L., and Eisemann, E. (2022) A learning approach for river debris detection. Int. J. Appl. Earth Obs. Geoinformation, 107, 102682, https://doi.org/10.1016/j.jag.2022.102682
Gonçalves, G. and Andriolo, U. (2022). Operational use of multispectral images for macro-litter mapping and, categorization by Unmanned Aerial Vehicle. Marine Pollution Bulletin. 176, March 2022, 113431 https://doi.org/10.1016/j.marpolbul.2022.113431
Gonçalves, G., Andriolo, U., Gonçalves, L., Sobral, P., Bessa, F. (2020). Quantifying marine macro litter abundance on a sandy beach using unmanned aerial systems and object-oriented machine learning methods. Remote Sensing, 12: 2599. https://doi.org/10.3390/rs12162599
Gonçalves, G., Andriolo, U., Gonçalves, L., Sobral, P., Bessa, F. (2022). Beach litter survey by drones: Mini-review and discussion of a potential standardization. Environmental Pollution, 315, 120370. https://doi.org/10.1016/j.envpol.2022.120370
Gonçalves, G., Andriolo, U., Pinto, L., and Bessa, F. (2020). Mapping marine litter using UAS on a beach-dune system: a multidisciplinary approach. Sci. Total Environ., 706, 135742, https://doi.org/10.1016/j.scitotenv.2019.135742
Gonçalves, G., Andriolo, U., Pinto, L., Duarte, D. (2020). Mapping marine litter with Unmanned Aerial Systems : A showcase comparison among manual image screening and machine learning techniques. Marine Pollution Bulletin. 155, 111158. https://doi.org/10.1016/j.marpolbul.2020.111158
Gong, G.-C. and G.-J. Liu (2003) An empirical primary production model for the East China Sea, Continental Shelf Research, 23, 213-224.
Gong, G.-C., Chang, J., and Wen, Y.-H. (1999). Estimation of annual primary production in the Kuroshio waters northeast of Taiwan using a photosynthesis-irradiance model. Deep-Sea Res. I, 46: 93-108.
Gong, G.-C., J. Chang and M.-H. Liang (2001) A photosynthetic-irradiance model for the upwelling region northeast of Taiwan and its application to the East China Sea, Journal of Geophysical Research, 106, 19957-19968.
Gong, X.,W. Jiang, L. Wang, H. Gao, E. Boss, X. Yao, S. Kao, and J. Shi (2017). Analytical solution of the nitracline with the evolution of subsurface chlorophyll maximum in stratified water columns. Biogeosciences, 14, 2371–2386, doi:10.5194/bg-14-2371-2017.
Gong, X.,W. Jiang, L. Wang, H. Gao, E. Boss, X. Yao, S. Kao, and J. Shi (2017). Analytical solution of the nitracline with the evolution of subsurface chlorophyll maximum in stratified water columns. Biogeosciences, 14, 2371–2386, doi:10.5194/bg-14-2371-2017.
Gonga, A., Pérez-Portero, A., Camps, A., Pascual, D., de Fockert, A. and de Maagt, P. (2023) GNSS-R observations of marine plastic litter in a water flume: An experimental study. Remote Sens., vol 15 (3), pp 637, https://doi.org/10.3390/rs15030637
Gons, H.J. (1999). Optical teledetection of chorophyll a in turbid inland waters. Environ. Sci. Technol., 33: 1127-1132.
Gons, H.J., Rijkeboer, M., and Ruddick, K. (2002). A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters. J. Plank. Res., 24: 947-951
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.