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
Jorgensen, P.V. (1999). Standard CZCS Case 1 algorithms in Danish coastal waters. Intl. J. Remote Sens. 20(7): 1289-1301.
Ortiz, J.D., Dulci M. Avouris, Stephen J. Schiller, Jeffrey C. Luvall, John D. Lekki, Roger P. Tokars, Robert C. Anderson, Robert Shuchman, Michael Sayers, Richard Becker (2019). Evaluating visible derivative spectroscopy by varimax-rotated, principal component analysis of aerial hyperspectral images from the western basin of Lake Erie. Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2019.03.005.
Jourdin, F., Renosh, P.R., Charantonis, A.A. , Guillou, N., Thiria, S., Badran, F. and Garlan, T. (2020). An Observing System Simulation Experiment (OSSE) in Deriving Suspended Sediment Concentrations in the Ocean From MTG/FCI Satellite Sensor,” in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3011742. https://ieeexplore.ieee.org/document/9165152/keywords#keywords
Juhls, B., A. Matsuoka, M. Lizotte, G. Bécu, P.P. Overduin, J. El Kassar, E. Devred, D. Doxaran, J. Ferland, M.H. Forget, A. Hilborn, M. Hieronymi, E. Leymarie, J. Maury, L. Oziel, L. Tisserand, D.O.J. Anikina, M. Dillon, M. Babin (2022). Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing. Remote Sensing of Environment, 283, 113327. https://doi.org/10.1016/j.rse.2022.113327
Jupp, D. L. B., Kirk, J. T. O. and Harris, G. P. (1994). Detection, identification and mapping of cyanobacteria — Using remote sensing to measure the optical quality of turbid inland waters. Aust. J. Mar. Freshw. Res. 45: 801-828.
Kahru, M. and Elmgren, R. (2014). Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea. Biogeosciences, 11: 3619-3633. [Abstract]
Kahru, M. and Mitchell, B. G. (1998). Spectral reflectance and absorption of a massive red tide off Southern California. J. Geophys. Res., 103 (C10): 21,601-21,609.
Kahru, M. and Mitchell, B. G. (1999). Empirical chlorophyll algorithm and preliminary SeaWiFS validation for the California Current. Intl. J. Remote Sens., 20(N17): 3423-3429.
Kahru, M. and Mitchell, B.G. (2008). Ocean color reveals increased blooms in various parts of the World. EOS, Trans. AGU, 89(18): 170. [ PDF file]
Kahru, M. Marinone, S.G., Lluch-Cota, S. E., Parés-Sierra, A and Mitchell, B.G. (2004). Ocean-color variability in the Gulf of California: scales from days to ENSO. Deep Sea Research. II. Topical Studies in Oceanography
Kahru, M., B.G. Mitchell. (2000). Influence of the 1997-98 El Niño on the surface chlorophyll in the California Current, Geophysical Research Letters, Vol. 27, No. 18, 2937-2940.
Kahru, M., B.G. Mitchell. (2001). Seasonal and non-seasonal variability of satellite-derived chlorophyll and CDOM concentration in the California Current. J. Geophys. Res., 106(C2): 2517-2529.
Kahru, M., Fiedler, P. C. Gille, S. T. Manzano, M. and Mitchell, B. G. (2007). Sea level anomalies control phytoplankton biomass in the Costa Rica Dome area. Geophys. Res. Lett., 34: L22601, doi:10.1029/2007GL031631. [PDF file]
Kahru, M., J.-M. Leppänen, O.Rud, O.P. Savchuk. (2000). Cyanobacteria blooms in the Gulf of Finland triggered by saltwater inflow into the Baltic Sea. Marine Ecolgy Progress Series, 207:13-18.
Kahru, M., Mitchell, B.G. (2002). Influence of the El Niño – La Niña cycle on satellite-derived primary production in the California Current. Geophys. Res. Let., 29 (9)
Kahru, M., Mitchell,B. G. Gille,S. T. Hewes, C. D. and Holm-Hansen, O. (2007). Eddies enhance biological production in the Weddell-Scotia Confluence of the Southern Ocean. Geophys. Res. Let., 34: L14603, doi:10.1029/2007GL030430. [PDF file]
Kahru, M., Savchuk, O. P. and Elmgren, R. (2007). Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: interannual and spatial variability. Mar. Ecol. Prog. Ser., 343:15-23, doi: 10.3354/meps06943. [PDF file]
Kajiyama, T., D’Alimonte, D. ; Zibordi, G. (2013). Regional Algorithms for European Seas: A Case Study Based on MERIS Data. Geoscience and Remote Sensing Letters, IEEE, 10(2): 283 – 287. doi: 10.1109/LGRS.2012.2202370. [Abstract]
Kajiyama, T., D’Alimonte, D. ; Zibordi, G. (2014). Match-Up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea. Geoscience and Remote Sensing Letters, IEEE, 11(1): 19-23. doi:10.1109/LGRS.2013.2244844. [Abstract]
Kako, S. i., Isobe, A., and Magome, S. (2012). Low altitude remote-sensing method to monitor marine and beach litter of various colors using a balloon equipped with a digital camera, Mar. Pollut. Bull., 64(6), 1156-1162, https://doi.org/10.1016/j.marpolbul.2012.03.024
Kako, S. i., Isobe, A., Kataoka, T., and Hinata, H. (2014). A decadal prediction of the quantity of plastic marine debris littered on beaches of the East Asian marginal seas, Mar. Pollut. Bull., 81, 174-184, https://doi.org/10.1016/j.marpolbul.2014.01.057
Kako, S. i., Isobe, A., Kataoka, T., Yufu, K., Sugizono, S., Plybon, C., and Murphy, T. A. (2018). Sequential webcam monitoring and modeling of marine debris abundance, Mar. Pollut. Bull., 132, 33-43, https://doi.org/10.1016/j.marpolbul.2018.04.075
Kako, S. i., Morita, S., and Taneda, T.(2020). Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning, Mar. Pollut. Bull., 155, 111127, https://doi.org/10.1016/j.marpolbul.2020.111127.
Kaladharan, P., Vijayakumaran, K., Singh, V., Prema, D., Asha, P. S., Sulochanan, B., Hemasankari, P., Edward, L., Padua, S., Shettigar, V., Anasukoya, A., and Bhint, H. (2017). Prevalence of marine litter along the Indian beaches: A preliminary account on its status and composition, J. Mar. biol. Ass. India, 59, 19-24, https://doi.org/10.6024/jmbai.2017.59.1.1953-03
Kallio, K., T. Kutser, T. Hannonen, S. Koponen, J. Pulliainen, J. Vepsäläinen, T. Pyhälahti, (2001). Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons, The Science of the Total Environment, 268: 59-77.
Kalogirou, E., Makri, D., Kountouri, J., Stylianou, T., Themistokleous, K., Papoutsa, C., Melillos, G., and G. Hadjimitsis, D. (2023) Detect plastic litter in Cyprus region using Sentinel-2, in Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 3-5 April, Ayia Napa, Cyprus, 7, https://doi.org/10.1117/12.2681679
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Kamykowski, D. and Zentara, S-J. (2003). Can phytoplankton community structure be inferred from satellite-derived sea surface temperature anomalies calculated relative to nitrate depletion temperatures? Rem. Sens. Env., 86: 444-457.
Kamykowski, D. and Zentara, S-J. (2005). Changes in world ocean nitrate availability through the 20th century. Deep-Sea Research I , 52(9): 1719-1744, 10.1016/j.dsr.2005.04.007.
Kamykowski, D., Zentara, S-J., Morrison, J. M. and Switzer, A. C. (2002). Dynamic global patterns of nitrate, phosphate, silicate, and iron availability and phytoplankton community composition from remote sensing data. Global Biogeochem. Cycles, 16(4): 1077. DOI:10.1029/2001GB001640
Kanhai, L. D. K., Asmath, H., and Gobin, J. F. (2022) The status of marine debris/litter and plastic pollution in the Caribbean Large Marine Ecosystem (CLME): 1980–2020. Environmental Pollution, v. 300, p. 118919, https://doi.org/10.1016/j.
Karabashev, G. S.; Evdoshenko, M. A.; Sheberstov, S. V.; (2001). Normalized radiance spectra from the SeaWiFS data as a natural tracer of water exchange between the coastal and off-shore areas of the eastern Mediterranean sea. Proceedings of the International Conference “Current Problems in Optics of Natural Waters”, I. Levin and G. Gilbert (eds.), St.Peterburg, 157-159.
Karakuş O (2023), On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring. Front. Remote Sens., 4, 1302384, https://doi.org/10.3389/frsen.2023.1302384
Kataoka, T., Hinata, H., and Kako, S. i. (2012). A new technique for detecting colored macro plastic debris on beaches using webcam images and CIELUV, Mar. Pollut. Bull., 64, 1829-1836, https://doi.org/10.1016/j.marpolbul.2012.06.006.
Kataoka, T., Murray, C. C., and Isobe, A. (2018). Quantification of marine macro-debris abundance around Vancouver Island, Canada, based on archived aerial photographs processed by projective transformation, Mar. Pollut. Bull., 132, 44-51, https://doi.org/10.1016/j.marpolbul.2017.08.060
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Keith, D.J., Yoder, J.A. and Freeman, S.A. (2002). Spatial and temporal distribution of Coloured Dissolved Organic Matter (CDOM) in Narragansett Bay, Rhode Island: Implications for phytoplankton in coastal waters. Estuarine, Coastal and Shelf Science, 55: 705-717.
Keller, P. A. (2001). Comparison of two inversion techniques of a semi-analytical model for the determination of lake water constituents using imaging spectrometry data. The Sci. of the Tot. Env. (268) 189-196.
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Kikaki, A., Karantzalos, K., Power, C. A., and Raitsos, D.A. (2020). Remotely Sensing the Source and Transport of Marine Plastic Debris in Bay Islands of Honduras (Caribbean Sea). Remote Sens., 12, 1727, https://doi.org/10.3390/rs12111727
Kikaki, K., Kakogeorgiou, I., Hoteit I., Karantzalos, K. (2024). Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 210, 39-54. https://doi.org/10.1016/j.isprsjprs.2024.02.017
Kikaki, K., Kakogeorgiou, I., Mikeli, P., Raitsos, DE., Karantzalos, K. (2022). MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. PLoS ONE 17(1): e0262247. https://doi.org/10.1371/journal.pone.0262247
Kim, H-C., Yoo, S. and Oh, I. S. (2007). Relationship between phytoplankton bloom and wind stress in the sub-polar frontal area of the Japan/East Sea. Journal of Marine Systems, 67(3-4): 205-216. [Article]