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
McKinna, L. I. W., Cetinić, I., & Werdell, P. J. (2021). Development and validation of an empirical ocean color algorithm with uncertainties: A case study with the particulate backscattering coefficient. Journal of Geophysical Research: Oceans, 126, e2021JC017231. https://doi.org/10.1029/2021JC017231
McKinna, L.I.W. (2015). Three decades of ocean-color remote-sensing Trichodesmium spp. in the World’s oceans: A review. Progress in Oceanography, 131: 177-199, doi:10.1016/j.pocean.2014.12.013. [Abstract]
Meister, G, Kwiatkowska, E.J., Franz, B.A., Patt, F.S., Feldman, G.C., McClain, C.R. (2005). Moderate-Resolution Imaging Spectroradiometer ocean color polarization correction. Applied Optics, 44(26): 5524-5535
Mélin F., Clerici M., Zibordi G., Holben B.N., Smirnov, A. (2009). Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data. Remote Sensing of Environment, 114: 230–250. [PDF File]
Mélin, F. (2010). Global distribution of the random uncertainty associated with satellite-derived Chla. IEEE Geoscience and Remote Sensing Letters, 7(1): 220-224
Mélin, F. and Sclep, G. (2015). Band shifting for ocean color multi-spectral reflectance data. Opt. Exp., 23: 2262-2279. [Full article]
Mélin, F. and Zibordi, G. (2007). Optically based technique for producing merged spectra of water-leaving radiances from ocean color remote sensing. Applied Optics, 46(18): 3856-3869
Mélin, F., and V. Vantrepotte (2015). How optically diverse is the coastal ocean? Remote Sens. Environ., 160: 235-251, 10.1016/j.rse.2015.01.023, 2015. [Full article]
Mélin, F., G. Sclep, T. Jackson, S. Sathyendranath (2016). Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets. Remote Sensing of Environment, 177: 107-124, http://dx.doi.org/10.1016/j.rse.2016.02.014. [Full article]
Mélin, F., Steinach, C., Gobron, N., Pinty, B., Verstraete, M.M. (2002). Optimal merging of LAC and GAC data from SeaWiFS. Intl. J. of Rem. Sens., 23(4): 801-807.
Mélin, F., Zibordi, G. and Djavidnia, S. (2009). Merged series of normalized water leaving radiances obtained from multiple satellite missions for the Mediterranean Sea. Advances in Space Research, 43(3): 423-437
Mélin, F., Zibordi, G., and Holben, B.N. (2013). Assessment of the aerosol products from the SeaWiFS and MODIS ocean-color missions. IEEE Geosci. Rem. Sens. Lett. 10(5): 1185-1189. [Abstract]
Mélin, F., Zibordi, G., Berthon, J.-F., Bailey, S.W., Franz, B.A., Voss, K.J., Flora, S., Grant, M. (2011). Assessment of MERIS reflectance data as processed with SeaDAS over the European seas. Opt. Exp., 19, 25657-25671. [Full Article]
Menkes C.E, S.C. Kennan, P. Flament, Y. Dandonneau, B. Biessy, S. Masson, E. Marchal, G. Eldin, J. Grelet, Y. Montel, A. Morlière, A. Lebourges, C. Moulin, G. Champalbert, and A. Herbland, (2002). A whirling ecosystem in the Equatorial Atlantic. Geophys. Res. Lett., 29 NO. 0, 10.1029/2001GL014576, 2002.
Menon, H.B., A. A. Lotliker, K. Krishna Moorthy, and Nayak, S.R. (2006). Variability of Remote sensing reflectance and implications for optical remote sensing – A study along the eastern and north eastern waters of Arabian Sea, Geophysical Research Letters, 33, L15602, doi: 10.1029/2006 GL 026026.
Menon, H.B., Lotliker, A. and Nayak, S.R. (2005). Pre-monsoon bio-optical properties in estuarine, coastal and Lakshadweep waters. Estuarine, Coastal and Shelf Science 63: 211–223. [Article]
Menon, H.B., Lotliker, A. and Nayak, S.R. (2006). Analysis of estuarine colour components during non-monsoon period through Ocean Colour Monitor. Estuarine, Coastal and Shelf Science (in press).
Merheim-Kealy, P., Huot, J.P. and Delwart, S. (1999). The MERIS ground segment. Intl. J. Remote Sens., 20(9): 1703-1712.
Merico A, Tyrrell T, Brown CW, Groom SG, Miller PI. (2003) Analysis of satellite imagery for Emiliania huxleyi blooms in the Bering Sea before 1997. Geophysical Research Letters, 30(6), 1337, doi:10.1029/2002GL016648.
Merlino, S., Paterni, M., Berton, A., and Massetti, L. (2020). Unmanned aerial vehicles for debris survey in coastal areas: Long-term monitoring programme to study spatial and temporal accumulation of the dynamics of beached marine litter. Remote Sens.(Basel), 12(8), 1260, https://doi.org/10.3390/rs12081260
Merlino, S., Paterni, M., Locritani, M., Andriolo, U., Gonçalves, G., Massetti, L. (2021). Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images. Water, 13(23):3349. https://doi.org/10.3390/w13233349
Méthy, M. (2000). A two-channel hyperspectral radiometer for the assessment of photosynthetic radiation-use efficiency. J. Agric. Engng Res., 75: 107-110.
Metsamaa, L., T. Kutser, N. Strömbeck (2006). Recognising cyanobacterial blooms based on their optical signature: a modelling study. Boreal Environment Research, , 11: 493-506.
Metzig, G. and Raschke, E. (1981). Atmospheric corrections of multispectral ocean colour measurements. Symposium on the Radiation Transfer in the Oceans and Remote Sensing of Ocean Properties, 25-26 August 1981, Hamburg, Q.F.G. Part of the IAMAP Third Scientific Assembly. Published by IAMAP. pp 58-62.
Metzig, G. and Raschke, E. (1982). The determination of chlorophyll from satellite measurements of the ocean color. Ann. Meteorol., 18: 45-47.
Michaelsen, J., Zhang, X. and Smith, R.C. (1988). Variability of pigment biomass in the California current system as determined by satellite imagery 2. Temporal variability. J. Geophys. Res., 93: 10,883-10,896.
Mifdal, J., Longépé, N. and Rußwurm, M. (2021) Towards detecting floating objects on a global scale with learned spatial features using Sentinel 2. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 285-293, https://doi.org/10.5194/isprs-annals-V-3-2021-285-2021
Mikaelyan S, Silkin V and Pautova L (2011). Coccolithophorids in the Black Sea: Their Interannual and Long-term Changes. Oceanology 51: (1) 39: [Full Article]
Mikelsons, K. and M. Wang (2021). Global clear sky near-surface imagery from multiple satellite daily imagery time series. ISPRS Journal of Photogrammetry and Remote Sensing, 180, 238-254. doi:10.1016/j.isprsjprs.2021.08.013
Mikelsons, K., M. Wang, and L. Jiang (2020). Statistical evaluation of satellite ocean color data retrievals, Remote Sens. Environ., 237, 111601. https://doi.org/10.1016/j.rse.2019.111601
Mikelsons, K., M. Wang, E. Kwiatkowska, L. Jiang, D. Dessailly, and J.I. Gossn, (2022) Statistical evaluation of Sentinel-3 OLCI ocean color data retrievals, IEEE Trans. Geosci. Remote Sens., 60, 4212119. 10.1109/TGRS.2022.3226158
Mikelsons, K., M. Wang, L. Jiang, and M. Bouali (2014). Destriping algorithm for improved satellite-derived ocean color product imagery. Opt. Express, 22, 28058-28070. doi:10.1364/OE.22.028058
Miller, J.R. (1981). Variations in upper ocean heat storage determined from satellite data. Remote Sens. Environ., 11: 473-482.
Miller, P.I. (2009) Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data. Journal of Marine Systems, 78(3), 327-336. doi:10.1016/j.jmarsys.2008.11.019 [PDF]
Miller, S. D., S. H. D. Haddock, W. C. Straka, III, C. A. Seaman, C. L. Combs, M. Wang, W. Shi, and S. Nam (2021). Honing in on bioluminescent milky seas from space”, Sci. Rep., 11, 15443. doi:10.1038/s41598-021-94823-z
Millie, D.F., Baker, M.C., Tucker, C.S., Vinyard, B.T. and Dionigi, C.P. (1992). High- resolution airborne remote sensing of bloom-forming phytoplankton. J. Phycol., 28: 281-290.
Minghelli-Roman A., Dupouy C. (2013). Influence of water column chlorophyll concentration on bathymetric estimations in the lagoon of New Caledonia using several MERIS images, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens, 77, 1-7.
Minghelli-Roman A., Dupouy C. (2014). Seabed mapping in the lagoon of New Caledonia with MeRIS images, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens, 7(6): 2619-2629.
Minnett, P.J. (1995). Sea surface temperatures from the Along-Track Scanning Radiometer. In: Oceanographic Applications of Remote Sensing, M. Ikeda and F. W. Dobson (eds.), CRC Press, Boca Raton, Florida, 131-143.
Mishra, A.K. (2004). Retrieval of suspended sediment concentration in the estuarine waters using IRS-1C WiFS data. International Journal of Applied Earth Observations and Geoinformation, 6: 83-95.
Mishra, A.K. and Nath, A.N. (1999). Determination of satellite nadir and azimuth angle for a tilting sensor. International Journal of Remote Sensing, 20(17): 3265-3272.
Mishra, A.K. and Rao, D.P ( 2002). Relationship between sub-surface diffused reflectance and inherent optical properties in the coastal waters. International Journal of Remote Sensing, 23(3) : 477-488.
Mishra, D.R., Ogashawara, I. and Gitelson, A.A. (eds.) (2017). Bio-optical Modeling and Remote Sensing of Inland Waters, Elsevier. ISBN: 978-0-12-804644-9 http://www.sciencedirect.com/science/book/9780128046449
Mishra, D.R., Ogashawara, I. and Gitelson, A.A. (eds.) (2017). Bio-optical Modeling and Remote Sensing of Inland Waters, Elsevier. ISBN: 978-0-12-804644-9 http://www.sciencedirect.com/science/book/9780128046449
Mitchell, B.G. (1992). Predictive bio-optical relationships for polar oceans and marginal ice zones. J. Mar. Sys., 3: 91-105.
Mitchell, B.G. and Holm-Hansen, O. (1991). Bio-optical properties of Antarctic Peninsula waters: Differentiation from temperate ocean models. Deep-Sea Res., 38: 1009-1028.
Mitchell, B.G. and Kahru, M. (1998). Algorithms for SeaWiFS standard products developed with the CalCOFI bio-optical data set. Calif. Coop. Oceanic Fish. Invest. Rep., 39: 133-147.
Mitchell, B.G., Brody, E.A., Yeh, E.-N., McClain, C., Comiso, J.C. and Maynard, N.G. (1991). Meridional zonation of the Barents Sea ecosystem inferred from satellite remote sensing and in situ bio-optical observations. Polar Res., 10: 147-162.
Mobley C., Gentili B., Gordon H.R., Jin Z., Kattawar G.W., Morel A., Reinersman P., Stamnes K. And Stavn R.H. (1993). Comparison of numerical models for computing underwater light fields. Appl. Optics, 32, 7484-7504.
Mobley, C.D. (1999). Estimation of the Remote-Sensing Reflectance from Above-Surface Measurements. Applied Optics, 38(36): 7442-7455.
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.