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
Dierssen, Heidi M., Ackleson, Steven G., Joyce, Karen E., Hestir, Erin L., Castagna, Alexandre, Lavender, Samantha and McManus Margaret A. (2021). Living up to the hype of hyperspectral aquatic remote sensing: science, resources and outlook. Frontiers in Environmental Science, 9, 134. https://www.frontiersin.org/article/10.3389/fenvs.2021.649528
Dierssen, H. M., and Garaba, S. P.: (2020). Bright Oceans: Spectral Differentiation of Whitecaps, Sea Ice, Plastics, and Other Flotsam, in: Recent Advances in the Study of Oceanic Whitecaps: Twixt Wind and Waves, edited by: Vlahos, P., and Monahan, E. C., Springer International Publishing, Cham, 197-208, 2020. https://doi.org/10.1007/978-3-030-36371-0_13
Dierssen, H. M., M. Gierach, L. S. Guild, A. Mannino, J. Salisbury, S. Schollaert Uz, J. Scott, P. A. Townsend, K. Turpie, M. Tzortziou, E. Urquhart, R. Vandermeulen, P. J. Werdell, 2023. “Synergies Between NASA’s Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications”. Journal of Geophysical Research: Biogeosciences, 128, e2023JG007574. https://doi.org/10.1029/2023JG007574
Dierssen, H.M., and Randolph, K. (2013). Remote Sensing of Ocean Color. Encyclopedia of Sustainability Science and Technology. Springer-Verlag Berlin Heidelberg. 25 pp. http://www.springerreference.com/index/chapterdbid/310809
Dierssen, H.M., G. McManus, A. Chlus, D. Qiu, B-C Gao, S. Lin (2015). Space station image captures a red tide ciliate bloom at high spectral and spatial resolution. Proc. Nat. Acad. Sci 112(48): 14783-14787.
Dierssen, H.M., R.C. Smith, and M. Vernet (2002). Glacial meltwater dynamics in coastal waters west of the Antarctic Peninsula. Proc. Nat. Acad. Sci. 99(4):1790-1795.
Dierssen, H.M., R.C. Zimmerman, and D. Burdige (2009). Optical properties and remote sensing of high turbidity carbonate sediment whitings on the Great Bahama Bank and relationship to Langmuir Circulation. Biogeosciences. 6: 1–14.
Dierssen, H.M., R.C. Zimmerman, D. Burdige, and L. Drake (2009). Potential export of unattached benthic macroalgae to the deep sea through wind-driven Langmuir circulation. Geophys. Res. Letters. 36. L04602, doi:10.1029/2008GL036188
Dierssen, H.M., R.C. Zimmerman, D. Burdige, and L. Drake (2010). Benthic ecology from space: optics and net primary production in seagrass and benthic algae across the Great Bahama Bank. Mar. Ecol. Prog. Ser. 411:1-15. Feature article.
Dierssen, H.M., R.C. Zimmerman, R.A. Leathers, T.V. Downes, and C.O. Davis (2003). Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high resolution airborne imagery. Limnol. Oceanogr. 48 (1, part 2): 456-463.
Dierssen, H.M., Ryan, J., R. Kudela, and R.C. Zimmerman (2006). Red and black tides: Quantitative analysis of water-leaving radiance and perceived color for phytoplankton, colored dissolved organic matter, and suspended sediments. Limnol. Oceanogr. 55 (6):2646-2659.
Dierssen, H., Bracher, A., Brando, V., Loisel, H., and Ruddick, K. (2020). Data Needs for Hyperspectral Detection of Algal Diversity Across the Globe. Oceanography,33(1)1: 74-79, https://doi.org/10.5670/oceanog.2020.111
Duarte, D., Andriolo, U., Gonçalves, G. (2020). Addressing the class imbalance problem in the automatic image classification of coastal litter from orthophotos derived from uas imagery, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 439–445, https://doi.org/10.5194/isprs-annals-V-3-2020-439-2020
Duarte, M. M., and Azevedo, L. (2023) Automatic detection and identification of floating marine debris using multi-spectral satellite imagery. IEEE Trans. Geosci. Remote Sens., 1-15, https://doi.org/10.1109/TGRS.2023.3283607
Eleveld, M. A., Wagtendonk, A. J., Pasterkamp, R. and de Reus, N. O. (2007). WATeRS: an open Web Map Service with near-real time MODIS Level-2 standard chlorophyll products of the North Sea, International Journal of Remote Sensing, 28(16): 3693 – 3699. doi:10.1080/01431160701253204 [Article].
Eleveld, M.A. (2012). Wind-induced resuspension in a shallow lake from Medium Resolution Imaging Spectrometer (MERIS) full-resolution reflectances, Water Resour. Res. 48(4), W04508, doi:10.1029/2011WR011121
Eleveld, M.A., Ruescas, A.B., Hommersom, A., Moore, T.S., Peters, S.W.M, Brockmann, C. (2017). An optical classification tool for global lake waters. Remote Sens. 9(5), 420 doi:10.3390/rs9050420
Eleveld, M.A., Ruescas, A.B., Hommersom, A., Moore, T.S., Peters, S.W.M, Brockmann, C. (2017). An optical classification tool for global lake waters. Remote Sens. 9(5), 420 doi:10.3390/rs9050420
Eleveld, M.A., van der Wal, D., van Kessel, T. (2014). Estuarine suspended particulate matter concentrations from sun-synchronous satellite remote sensing: Tidal and meteorological effects and biases. Remote Sensing of Environment 143: 204-215. doi:10.1016/j.rse.2013.12.019. [Full article]
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Ershova, S.V., Kopelevich, O.V., Sheberstov, S.V., Burenkov, V.I., Khrapko, A.N. (2001). Algorithm for assessment of underwater ultraviolet and visible solar radiation in the Barents Sea from satellite data under clear sky and cloud conditions. Proceedings of the International Conference “Current Problems in Optics of Natural Waters”, I. Levin and G. Gilbert (eds.), St.Peterburg, 106-112.
Ershova, S.V., Kopelevich, O.V., Sheberstov, S.V., Burenkov, V.I., Khrapko, A.N. (2001). A method for estimating the penetration of solar visual and ultraviolet radiation into the waters of the Arctic Seas using satellite data: the case of a cloudless atmosphere. Oceanology, 41(3): 317-325.
Ershova, S.V., Kopelvich, O.V., and Sheberstov, S.V. (2002). A method for estimating the penetration of solar radiation into the waters of the Arctic Seas using satellite data: the case of a totally overcast sky. Oceanology, 42(1): 17-26.
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Evans, M. C. and C. S. Ruf (2021). Towards the detection and imaging of ocean microplastics with a spaceborne radar. IEEE Transactions on Geoscience and Remote Sensing, 1-9,https://doi.org/10.1109/TGRS.2021.3081691
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Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., and Galli, P.(2019). Anthropogenic marine debris assessment with unmanned aerial vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives, Sci. Total Environ., 693, 133581, https://doi.org/10.1016/j.scitotenv.2019.133581
Fang, Wendong and Qiu, Fuwen and Fang, Guohong (2011). Seasonal-to-interannual Variability of Chlorophyll in Central Western South China Sea Extracted from SeaWiFS. Chinese Journal of Oceanology and Limnology 29: (1) 18 [PDF File]
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Fargion, G.S., and Mueller, J.L. (eds.) (2000). Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Vol. Revision 2, National Aeronautical and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, 184 p.
Fargion, G.S., McClain, C.R., Fukushima, H., Nicolas, J.M. and Barnes, R.A. (1999). Ocean color instrument intercomparisons and cross-calibrations by the SIMBIOS Project. EOS/SPIE Symposium on Remote Sensing, 20-24 September, 1999.
Farré, M. (2020) Remote and in situ devices for the assessment of marine contaminants of emerging concern and plastic debris detection. Curr. Opin. Environ. Sci. Health, vol 18, pp 79-94, https://doi.org/10.1016/j.coesh.2020.10.002
Feldman, G., Kuring, N., Ng, C., Esaias, W., McClain, C.R., Elrod, J., Maynard, N., Endres, D., Evans, R., Brown, J., Walsh, S., Carle, M. and Podesta, G. (1989). Ocean colour. Availability of the global data set. EOS Trans. Am. Geophys. Union., 70: 634-635.4172: 44-55.
Felício, J. M., Costa, T. S., Vala, M., Leonor, N., Costa, J. R., Marques, P., Moreira, A. A., Caldeirinha, R. F. S., Matos, S. A., Fernandes, C. A., Fonseca, N. J. G., and Maagt, P. D. (2024) Feasibility of radar-based detection of floating macroplastics at microwave frequencies, IEEE Trans. Antennas Prop., 1-1, https://doi.org/10.1109/TAP.2023.3347031