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
Subramaniam, A., and Carpenter, E.J. (1993). An empirically derived protocol for detection of blooms of the marine cyanobacterium Trichodesmium using CZCS imagery. Intl. J. Rem. Sens., 15: 1559-1569.
Subramaniam, A., and Carpenter, E.J. (1994). An empirically derived protocol for the detection of blooms of the marine cyanobacterium Trichodesmium using CZCS imagery. Intl. J. Rem. Sens., 15: 1559-1569.
Subramaniam, A., Carpenter, E.J., and Falkowski, P.G. (1999). Bio-optical properties of the marine diazotrophic cyanobacteria Trichodesmium spp. II. A reflectance model for remote sensing. Limnol. Oceanogr., 44: 618-627.
Subramaniam, A., Carpenter, E.J., Karentz, D. and Falkowski, P.G. (1999). Bio-optical properties of the marine diazotrophic cyanobacteria Trichodesmium spp. I. Absorption and photosynthetic action spectra. Limnol. Oceanogr., 44: 608-617.
Suchy, K.D., Le Baron, N., Hilborn, A., Perry, R.I. and Costa, M. (2019). Influence of environmental drivers on spatio-temporal dynamics of satellite-derived chlorophyll a in the Strait of Georgia. Prog. Oceanogr. 176, 102134 https://doi.org/10.1016/j.pocean.2019.102134
Sugihara, S. and Kishino, M. (1988). An algorithm for estimating the water quality parameters from irradiance just below the sea surface. J. Geophys. Res., 93: 10,857-10,862.
Suh, Y.-S., L.-H. Jang, N.-K. Lee, J. Ishizaka (2004). Feasibility of red tide detection around Korean waters using satellite remote sensing. J. Fish. Sci. Tech. 7: 148-162.
Sullivan, E., Cole, M., Atwood, E. C., Lindeque, P. K., Chin, P. T. and Martinez-Vicente, V. (2023) In situ correlation between microplastic and suspended particulate matter concentrations in river-estuary systems support proxies for satellite-derived estimates of microplastic flux. Mar. Pollut. Bull., vol. 196, pp 115529, https://doi.org/10.1016/j.marpolbul.2023.115529
Sullivan, C.W., McClain, C.R., Comiso, J.C. and Smith Jr., W.O. (1988). Phytoplankton standing crops within an Antarctic ice edge assessed by satellite remote sensing. J. Geophys. Res., 93: 12,487-12,498.
Sun, J., M. Wang, L. Tan, and L. Jiang (2014). An efficient approach for VIIRS RDR to SDR data processing. IEEE Geosci. Remote Sens. Lett ., 11, 2037-2041. doi:10.1109/LGRS.2014.2317553
Sun, L., Guo, M., Zhu, J., Hu, X., Song, Q. (2013) FY-3A/MERSI, ocean color algorithm, products and demonstrative applications. Acta Oceanologica Sinica 32(5): 75-81. [Abstract].
Sun, S. Liu, Z., Chiu, L., Yang, R., Singh, R.P. and Kafatos, M. (2004). Anomalous cold water along the mid-Atlantic coast during sid-Summer. EOS Trans: 85 (15), 13
Sun, Y., Bakker, T., Ruf, C. and Pan, Y. (2023). Effects of microplastics and surfactants on surface roughness of water waves. Sci. Rep., 13, (1), 1978, https://doi.org/10.1038/s41598-023-29088-9
Suresh, T., Talaulikar, M., Desa, E., Matondkar, S.G.P., Mascarenhas, A. (2012). Comparison of measured and satellite derived spectral diffuse attenuation coefficients for the Arabian Sea. International Journal of Remote Sensing. 33:2, 570-585. doi:10.1080/01431161.2010.543435. [Full article]
Svejkovsky, J., and Shandley, J. (2001). Detection of offshore plankton blooms with AVHRR and SAR imagery. Intl. J. Rem. Sens.,22: 471-485.
Swanepoel, S., Scheckle, T. J., and Marlin, D. (2023) Implementing land-based litter surveys through visual inspection of imagery using unmanned aerial vehicles. Environ. Chall., 13, 100753, https://doi.org/10.1016/j.envc.2023.100753
Swathi, P.S. and Tong, T.W. (1988). A new algorithm for computing the scattering coefficients of highly absorbing cylinders. J. Quant. Spectrosc. Radiat. Transf., 40: 525-530.
Switzer, A. C., Kamykowski, D. and Zentara, S-J. (2003). Mapping nitrate in the global ocean using remotely sensed sea surface temperature. Journal of Geophysical Research , 108: 36-1,12. doi:10.1029/2000JC0000444.
Szekielda, K.-H., Gobler, C., Gross, B., Moshary, F. and Ahmed, S. (2003). Spectral reflectance measurements of estuarine waters. Ocean Dynamics, 53: 98-102. DOI 10.1007/s10236-003-0027-x
Szekielda, K.H. (2020). EUTROPHICATION: THE ANTHROPOGENIC OFFSHORE SIGNAL. International Journal of Geology, Earth & Environmental Sciences, 10(2): 128-137
Szekielda, K.H. , Bowles, J.H. Gillis, D.B. Snyder, W. Miller W.D. (2010) Patch recognition of algal blooms and macroalgae. In: Ocean Sensing and Monitoring II, Proc. of SPIE, edited by Hou W. and Arnone, R.A. 7678, 76780A-1; doi:10.1117/12.854772. [Abstract]
Szekielda, KH, Bowles, JH, Gillis, DB and Miller, WD (2009). Interpretation of absorption bands in airborne hyperspectral radiance data. Sensors, 9(4): 2907-2925; doi:10.3390/s90402907 [Link for PDF file]
Taddia, Y., Corbau, C., Buoninsegni, J., Simeoni, U. and Pellegrinelli, A. (2021). UAV approach for detecting plastic marine debris on the beach: A case study in the Po River Delta (Italy). Drones, 5, (4), 140, https://doi.org/10.3390/drones5040140
Taggio, N., Aiello, A., Ceriola, G., Kremezi, M., Kristollari, V., Kolokoussis, P., Karathanassi, V., and Barbone, E.(2022) A combination of machine learning algorithms for marine plastic litter detection exploiting hyperspectral PRISMA data, Remote Sens. (Basel), 14, 3606, https://doi.org/10.3390/rs14153606.
Taheri H. Shahraiyni; M. Schaale; F. Fell; J. Fischer; R. Preusker; M. Vatandoust; Bagheri S. Shouraki; M. Tajrishy; H. Khodaparast; A. Tavakoli (2007). Application of the Active Learning Method for the estimation of geophysical variables in the Caspian Sea from satellite ocean colour observations. International Journal of Remote Sensing, 28(20): 4677 – 4683.
Taheri Shahraiyni, H., S. Bagheri Shouraki; F. Fell; M. Schaale; J. Fischer; A. Tavakoli; R. Preusker; M. Tajrishy; M. Vatandoust; H. Khodaparast (2009). Application of the active learning method to the retrieval of pigment from spectral remote sensing reflectance data. International Journal of Remote Sensing, 30(4): 1045 – 1065
Talaulikar, M., Suresh, T., Desa, E., Inamdar, A. (2014). An empirical algorithm to estimate spectral average cosine of underwater light field from remote sensing data in coastal oceanic waters. Limnol. Oceanogr. Methods, 12: 74-85. DOI: 10.4319/lom.2014.12.74 [ Full Article]
Talaulikar, M., Suresh,T., Desa, E., Matondkar, S.G.P., Kumar, S.T., Lotlikar, A., and Inamdar, A. (2012). Empirical algorithm to estimate the average cosine of underwater light field at 490 nm. Remote Sensing Letters, 3(7): 585-593. doi:10.1080/01431161.2011.643506. [Full article]
Tan, C.K., Ishizaka, J., Matsumura, S., Yusoff, F.M. and Mohamed, M.I. (2006). Seasonal variability of SeaWiFS chlorophyll a in the Malacca Straits in relation to Asian Monsoon. Continental Shelf Research, 26: 168-178.
Tang, D. (1999). Remote Sensing of Pigment Concentration and Sea Surface Temperature on the Continental Shelf of China. Diss. Abst. Intl. Pt. B – Sci. & Eng., 59: 6220.
Tang, D., B. Satyanarayana, R.P. Singh, and H. Zhao, (2006). Satellite Remote Sensing of Chlorophyll-a Distribution in the Northeast Arabian Sea, Advances in Geosciences, Volume 5: Oceans and Atmospheres (OA). Speer, M.S. (ed.), World Scientific Co., Pte. Ltd., Singapore, p.15.
Tang, D., Satyanarayana,B., Zhao, H., Zheng,G., Singh, R.P. and L.V. JianHai (2008). Variation of Chlorophyll-a in the Northeastern Indian Ocean after the 2004 South Asian Tsunami, International J. Remote Sensing, In press,
Tang, D.L.; Kawamura, H; Doan-Nhu, H.; Takahashi, W. (2004). Remote sensing oceanography of a harmful algal bloom off the coast of southeastern Vietnam. J. Geophys. Res., Vol. 109, No. C3, C03014 10.1029/2003JC002045 05 March 2004
Tang, S., C. Michel and P. Larouche 2012. Development of an explicit algorithm for remote sensing estimation of chlorophyll a using symbolic regression, Optics Letters, 37(15): 3165-3167.
Tang, S., P. Larouche, A. Niemi and C. Michel 2013. Regional algorithms for remote-sensing estimates of total suspended matter in the Beaufort Sea. International J. of Remote Sensing, 34 (19): 6562-6576
Tanré, D., Herman, P. Y., Deschamps, P. Y. and De Leffe, A. (1979). Atmospheric modelling for space measurements of ground reflectances, including bi-directional properties. Appl. Optics. 18: 3587-3594.
Tao, B., Mao, Z., Pan, D., Shen,Y. (2013). Optical detection of Prorocentrum donghaiense blooms based on multispectral reflectances. Acta Oceanologica Sinica . 32(10):48-56.
Tao, B., Mao, Z., Pan, D., Shen,Y., Zhu, Q., Chen, J. (2013). Influence of bio-optical parameter variability on the reflectance peak position in the red band of algal bloom waters, Ecological Informatics, 16:17-24,2013.
Tao, J., P. Hill, E. Boss and T. Milligan (2017). Evaluation of optical proxies for suspended particulate mass in stratified waters. Journal of Atmospheric and Oceanic Technology, https://doi.org/10.1175/JTECH-D-17-0042.1
Tassan S., Ferrari G.M., Bricaud A. and Babin M., (2000). Variability of the amplification factor of light absorption by filter-retained aquatic particles in the coastal environment. J. of Plankton Research, 22(4): 639-657.
Tassan, S. (1981). A method for the retrieval of phytoplankton and suspended sediment concentrations from remote measurements of water colour. In: Fifteenth International Symposium on Remote Sensing of Environment, Ann Arbor, MI, 1-10.
Tassan, S. (1995). SeaWiFS potential for remote sensing of marine Trichodesmium at sub-bloom concentration. Intl. J. Rem. Sens.16: 3619-3627.
Tasseron, P.; van Emmerik, T.; Peller, J.; Schreyers, L.; Biermann, L. (2021) Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery. Remote Sens. 13, 2335. https://doi.org/10.3390/
Tasseron, Paolo F., Louise Schreyers, Joseph Peller, Lauren Biermann, and Tim van Emmerik. (2022). Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery, Earth and Space Science 9, no. 11, https://doi.org/10.1029/2022EA002518
Tavora J, Jiang B, Kiffney T, Bourdin G, Gray PC, de Carvalho LS, Hesketh G, Schild KM, de Souza LF, Brady DC, et al., 2023. Recipes for the Derivation of Water Quality Parameters Using the High-SpatialResolution Data from Sensors on Board Sentinel-2A, Sentinel-2B, Landsat-5, Landsat-7, Landsat-8, and Landsat-9 Satellites. J. Remote Sens. 3:Article 0049. https://doi.org/10.34133/remotesensing.0049
Taylor B., Taylor M., Dinter T., Bracher A. (2013) Estimation of relative phycoerythrin concentrations from hyperspectral underwater radiance measurements – a statistical approach. Journal of Geophysical Research — Oceans 118(6): 2948-2960. doi:10.1002/jgrc.20201 [Full Article]
Taylor B., Torrecilla E., Bernhardt A., Taylor M. H., Peeken I., Röttgers R., Piera J., Bracher A. (2011). Bio-optical provinces in the eastern Atlantic Ocean. Biogeosciences 8: 3609-3629. doi:10.5194/bg-8-3609-2011. [Full article]
Taylor, M. H., Losch, M., Bracher, A. (2013) On the drivers of phytoplankton blooms in the Antarctic seasonal ice zone: a modeling approach. Journal of Geophysical Research – Oceans, 188, 1-13. DOI:10.1029/2012JC008418.
Tedetti, M., B. Charriere, A. Bricaud, J. Para, P. Raimbault and R. Sempere (2010). Distribution of normalized water-leaving radiances at UV and visible wavebands in relation with chlorophyll a and colored detrital matter content in the South East Pacific. Journal of Geophysical Research, 115, C02010, doi:10.1029/2009JC005289.
Tello A.G., Rodriguez-Benito, C. (2009). Characterization of mesoscale spatio-temporal patterns and variability of remotely sensed Chl a and SST in the Interior Sea of Chiloe (41.4-43.5°S). International Journal of Remote Sensing, 30(6): 1521-1536
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.