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
Kratzer, S., Bowers, D. and Tett, P. (2000). Seasonal changes in colour ratios and optically active constituents in the optical Case-2 waters of the Menai Strait, North Wales, International Journal of Remote Sensing. 21 (11): 2225-2246.
Kratzer, S., Brockmann, C. and Moore G. (2008). Using MERIS full resolution data (300 m spatial resolution) to monitor coastal waters– a case study from Himmerfjärden, a fjord-like bay in the north-western Baltic Sea. Remote Sensing of Environment, 112(5): 2284-2300.
Kratzer, S., Håkansson, B., and Sahlin, C. (2003). Assessing Secchi and photic zone depth in the Baltic Sea from Space. Ambio, 32(8): 577-585.
Krawczyk, H., Neumann, A., and Hetscher, M. (1999). Mathematical and physical background of principal component inversion. In: Proceedings 3rd International Workshop on MOS-IRS and Ocean Colour, Wissenschaft und Technik Verlag, Berlin, 83-92.
Kremezi, M., Kristollari, V., Karathanassi, V., Topouzelis, K., Kolokoussis, P., Taggio, N., Aiello, A., Ceriola, G., Barbone, E., Corradi, P. (2021). Pansharpening PRISMA Data for Marine Plastic Litter Detection Using Plastic Indexes. IEEE Access,9, 61955-61971, https://doi.org/10.1109/ACCESS.2021.3073903.
Kremezi, M., Kristollari, V., Karathanassi, V., Topouzelis, K., Kolokoussis, P., Taggio, N., Aiello, A., Ceriola, G., Barbone, E., Corradi, P. (2022). Increasing the Sentinel-2 potential for marine plastic litter monitoring through image fusion techniques. Marine Pollution Bulletin, Volume 182, 2022, 113974, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2022.113974 .
Krug, L.A., Platt, T., Sathyendranath, S., Barbosa, A.B. (2017). Ocean surface partitioning strategies using ocean colour remote Sensing: A review. Progress in Oceanography, 155: 41–53. https://doi.org/10.1016/j.pocean.2017.05.013
Krug, L.A., Platt, T., Sathyendranath, S., Barbosa, A.B. (2017). Ocean surface partitioning strategies using ocean colour remote Sensing: A review. Progress in Oceanography, 155: 41–53. https://doi.org/10.1016/j.pocean.2017.05.013
Kruse, C., Boyda, E., Chen, S., Karra, K., Bou-Nahra, T., Hammer, D., Mathis, J., Maddalene, T., Jambeck, J. and Laurier, F. (2023) Satellite monitoring of terrestrial plastic waste. PLoS One, 18, (1), 1-20, e0278997, https://doi.org/10.1371/journal.pone.0278997
Kudela, R.M., Palacios, S.L., Austerberry, D.C., Accorsi, E.K., Guild, L.S., Torres-Perez, J. (2015). Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters. Remote Sensing of Environment, http://dx.doi.org/10.1016/j.rse.2015.01.025. [Full article].
Kühn, F., Oppermann, K., and Hörig, B. (2004). Hydrocarbon Index – an algorithm for hyperspectral detection of hydrocarbons, Int. J. Remote Sens., 25(12), 2467-2473, https://doi.org/10.1080/01431160310001642287
Kundu, S.N., Mohapatra, S., Sahoo, A.K., and Singh, R.P. (2001) Change analysis using IRS – P4 OCM Data after the Orissa Super-cyclone. Int. J. Rem. Sens., 22(7): p. 1383-1389, 2001.
Kuring, N., Lewis, M. R., Platt, T. and O’Reilly, J. E. (1990). Satellite-derived estimates of primary production on the northwest Atlantic continental shelf. Contin. Shelf Res. 10: 461-484.
Kutser T (2009). Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters. International Journal of Remote Sensing, 30:4401-4425.
Kutser, T. (2004) Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing. Limnology and Oceanography, 49: 2179-2189.
Kutser, T. and D.L.B. Jupp, (2006). On the possibility of mapping living corals to the species level based on their optical signatures. Estuarine, Coastal and Shelf Science, 69: 607-614.
Kutser, T. L. Metsamaa, E. Vahtmäe, R. Aps, (2007). Operative Monitoring of the Extent of Dredging Plumes in Coastal Ecosystems Using MODIS Satellite Imagery. Journal of Coastal Research, SI50: 180-184.
Kutser, T., A. G. Dekker, W. Skirving, (2003). Modelling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments. Limnology and Oceanography, 48: 497-510.
Kutser, T., B. Paavel, L. Metsamaa, E. Vahtmäe, (2009). Mapping coloured dissolved organic matter concentration in coastal waters. International Journal of Remote Sensing, 30:5843-5849.
Kutser, T., D. C. Pierson, K. Kallio, A. Reinart, S. Sobek (2005). Mapping lake CDOM by satellite remote sensing. Remote Sensing of Environment, 94: 535-540.
Kutser, T., D. C. Pierson, L. Tranvik, A. Reinart, S. Sobek, K. Kallio (2005). Estimating the colored dissolved organic matter absorption coefficient in lakes using satellite remote sensing, Ecosystems, 8: 709-720.
Kutser, T., E. Vahtmäe, C.M. Roelfsema, L. Metsamaa (2007) Photo-library method for mapping seagrass biomass. Estuarine, Coastal and Shelf Science, 75: 559-563.
Kutser, T., E. Vahtmäe, G. Martin (2006). Assessing suitability of multispectral satellites for mapping benthic macroalgal cover in turbid coastal waters by means of model simulations. Estuarine Coastal and Shelf Science, 67: 521-529.
Kutser, T., E. Vahtmäe, L. Metsamaa (2006). Spectral library of macroalgae and benthic substrates in Estonian coastal waters. Proceedings of the Estonian Academy of Sciences. Biology.Ecology, 55: 329-340.
Kutser, T., Herlevi, A., Kallio, K., Arst, H. (2001). A hyperspectral model for interpretation of passive optical remote sensing data from turbid lakes. The Sci. of the Tot. Env. (268) 47-58.
Kutser, T., I. Miller, D.L.B. Jupp (2006). Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries. Estuarine Coastal and Shelf Science, 70: 449-460.
Kutser, T., L. Metsamaa, A.G. Dekker, (2008). Influence of the vertical distribution of cyanobacteria in the water column on the remote sensing signal. Estuarine, Coastal and Shelf Science, 78: 649-654.
Kutser, T., L. Metsamaa, E. Vahtmäe, N. Strömbeck (2006). On suitability of MODIS 250 m resolution band data for quantitative mapping cyanobacterial blooms. Proceedings of the Estonian Academy of Sciences. Biology Ecology, 55: 318-328.
Kutser, T., L. Metsamaa, N. Strömbeck, E. Vahtmäe (2006). Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine Coastal and Shelf Science, 67: 303-312.
Kutser, T., M. Hiire, L. Metsamaa, E. Vahtmäe, B. Paavel, R. Aps (2009). Field measurements of spectral backscattering coefficient of the Baltic Sea and boreal lakes. Boreal Environment Research, 14: 305-312.
Kutser, T., Tranvik, L., Pierson, D.C. (2009). Variations in colored dissolved organic matter between boreal lakes studied by satellite remote sensing. Journal of Applied Remote Sensing, , 3:033538, doi:101117/1.3184437.
Kwiatkowska, E. J. (2003). Application of machine-learning techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data. IEEE Trans. Geosci. Remote Sens. 41: 2844-2860.
Kwiatkowska, E.J., and Fargion, G.S. (2002). Merger of ocean color data from multiple satellite missions within the SIMBIOS project. SPIE Proceedings, 4892: 168-182.
Kyewalyanga, M., Platt, T. and Sathyendranath, S. (1992). Ocean primary production calculated by spectral and broad-band models. Mar. Ecol. Prog. Ser. 85: 171-185.
Lahet F., and S Ouillon and P. Forget. (2001). Application of a colour classification method to quantify the constituents of coastal waters from satellite-like sampled reflectances, International J. Rem. Sens., 22(5): 909-914.
Lahet F., Ouillon S., Forget P. (2001). Colour classification of coastal waters of Ebro river plume from spectral reflectances. Int. J. Rem. Sens., 22(9): 1639-1664.
Lahet, F., Ouillon, S., and Forget, P. (2000). A three-component model of ocean color and its application in the Ebro River mouth area. Remote Sens. Environ. 72: 181-190.
Lai, W., Lee, Z., Wang, J., Wang, Y., Garcia, R., Zhang, H. (2022). A Portable Algorithm to Retrieve Bottom Depth of Optically Shallow Waters from Top-Of-Atmosphere Measurements. Journal of Remote Sensing, 2022, 9831947, https://doi.org/10.34133/2022/9831947
Lain, L.R., Kravitz, J., Matthews, M. and Bernard, S., (2023) Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model. Scientific Data, 10(1), p.412. https://doi.org/10.1038/s41597-023-02310-z
Lambardi, P., Lutjeharms, J.R.E., Mencacci, R. Hays, G.C., Luschi, P. (2008). Influence of ocean currents on long-distance movement of leatherback sea turtles in the Southwest Indian Ocean. Mar. Ecol. Prog. Ser. 353: 289–301
Lamont, T. , R.J.W. Brewin, R.G. Barlow (2018). Seasonal variation in remotely-sensed phytoplankton size structure around southern Africa. Remote Sensing of Environment, 204: 617-631
Lamont, T. , R.J.W. Brewin, R.G. Barlow (2018). Seasonal variation in remotely-sensed phytoplankton size structure around southern Africa. Remote Sensing of Environment, 204: 617-631
Lamont, T., M. García-Reyes, S.J. Bograd, C.D. van der Lingen, W.J. Sydeman (2017). Upwelling indices for comparative ecosystem studies: Variability in the Benguela Upwelling System. J. Mar. Syst. https://doi.org/10.1016/j.jmarsys.2017.05.007
Lamont, T., M. García-Reyes, S.J. Bograd, C.D. van der Lingen, W.J. Sydeman (2017). Upwelling indices for comparative ecosystem studies: Variability in the Benguela Upwelling System. J. Mar. Syst. https://doi.org/10.1016/j.jmarsys.2017.05.007
Land, P. (1999). Contextual atmospheric correction of MOS. In: Proceedings 3rd International Workshop on MOS-IRS and Ocean Colour, Wissenschaft und Technik Verlag, Berlin, 111-120.
Land, P.E., Bailey, T.C., Taberner, M., Pardo, S., Sathyendranath, S., Nejabati Zenouz, K., Brammall, V., Shutler, J.D. and Quartly, G.D. (2018). A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour, Remote Sens., 10, 695, DOI:10.3390/rs10050695.
Land, P.E., Shutler, J.D. and Smyth, T.J. (2017). Correction of Sensor Saturation Effects in MODIS Oceanic Particulate Inorganic Carbon, IEEE T. Geosci. Remote, 56(3), 1466-1474, DOI:10.1109/TGRS.2017.2763456.
Land, P.E., Shutler, J.D., Platt, T. and Racault, M.F. (2014). A novel method to retrieve oceanic phytoplankton phenology from satellite data in the presence of data gaps. Ecol. Ind., 37, 67-80, DOI:10.1016/j.ecolind.2013.10.008.
Lara C, Miranda M, Montecino V and Iriarte JL (2010). Chlorophyll-a MODIS mesoscale variability in the Inner Sea of Chiloé, Patagonia, Chile (41-43°S): Patches and Gradients? Revista de Biología Marina y Oceanografía 45(2): 217-225. [PDF File]