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
Dandonneau, Y., Vega, A., Loisel, H., du Penhoat, Y., and Menkes, C. (2003). Oceanic Rossby Waves acting as a “Hay Rake” for ecosystem floating by products. Science, 1548-1551. Darecki M., Kaczmarek, S., and Olszewski, J. (2005). SeaWiFS ocean colour chlorophyll algorithms for the southern Baltic Sea. InternationalJournal of Remote Sensing, 26: 247-260.
Darecki M., Stramski, D. (2004). An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea. Remote Sensing of Environment, 89: 326-350.
Darecki M., Weeks, A., Sagan, S., Kowalczuk, P., Kaczmarek, S. (2003). Optical characteristics of two contrasting case 2 waters and their influence on remote sensing algorithms. Continental Shelf Research, 23(3-4): 237-250.
Dasgupta, S., Sarraf, M., and Wheeler, D. (2022) Plastic waste cleanup priorities to reduce marine pollution: A spatiotemporal analysis for Accra and Lagos with satellite data. Sci. Total Environ., v. 839, p. 156319, DOI: https://doi.org/10.1016/j.scitotenv.2022.156319
Davenport, R., Neuer, S., Helmke, P., Perez-Marrero, J., and Llinas, O. (2002). Primary productivity in the northern Canary Islands region as inferred from SeaWiFS imagery. Deep-Sea Research, Part II, 49: 3481-3498.
Davenport, R., Neuer, S., Hernandez-Guerra, A., Rueda, M.-J., Llinas, O., Fischer, G., and Wefer, G. (1999). Seasonal and interannual pigment concentration in the Canary Islands region from CZCS data and comparison with observations from the ESTOC. Intl. J. Rem. Sens., 20: 1419-1433.
Davidson K, Miller P, T Wilding TA, Shutler J, Bresnan E, Kennington K and Swan S (2009). A large and prolonged bloom of Karenia mikimotoi in Scottish waters in 2006. Harmful Algae 8(2) 349-361
de Vries, R. V. F., Garaba, S. P., and Royer, S. J.(2023) Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state, Earth Syst. Sci. Data, 15, 5575-5596, https://doi.org/10.5194/essd-15-5575-2023
Deidun, A., Gauci, A., Lagorio, S., and Galgani, F. (2018). Optimising beached litter monitoring protocols through aerial imagery, Mar. Pollut. Bull., 131, 212-217, https://doi.org/10.1016/j.marpolbul.2018.04.033
Dekker, A.G., and Pinnel, N. (Eds.) (2018). Feasibility Study for an Aquatic Ecosystem Earth Observing System. Committee on Earth Observing Satellites (CEOS), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, Version 2.0. [PDF File]
Dekker, A.G., Peters, S.W.M., Vos, R.J., Rijkeboer, M. (2001a). Remote sensing for inland water quality detection and monitoring: state-of-the-art application in Friesland waters. In: GIS and Remote Sensing Technology in Land and Water Management, A. Van Dijk and M.G. Bos (eds.), Kluwer Academic Publishers, Netherlands, 17-38.
Dekker, A.G., Vos, R.J., and Peters, S.W.M. (2001b). Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes. The Sci. of the Tot. Env., 268: 197-214.
Del Bel Belluz, J., Costa., M., Reid, G., Cross, S. (2016). Bio-optical variability at a Vancouver Island aquaculture site. Limnology and Oceanography. 61, 1686-1704, doi: 10.1002/lno.10332 [Full Article]
Del Castillo, C.E., Coble, P.G., Morell, J.M., Lopex, J.M., and Corredor, J.E. (1999). Analysis of the optical properties of the Orinoco plume by absorption and fluorescence spectroscopy. Mar. Chem., 66: 35-51.
Demarcq, H., Barlow, R.G. and Shillington, F.A. (2003). Climatology and variability of sea surface temperature and surface chlorophyll in the Benguela and Agulhas ecosystems as observed by satellite imagery. Afr. J. Mar. Sc. 25: 363-372.
Denman, K.L. (1975). Spectral analysis: a summary of the theory and techniques. Fisheries and marine service technical report no. 539. Environment Canada. 28pp.
Denman, K.L. and Abbott, M.R. (1988). Time evolution of surface chlorophyll patterns from cross-spectrum analysis of satellite color images. J. Geophys. Res., 93: 6789-6798.
Denman, K.L. and Gargett, A. E. (1983). Time and space scales of vertical mixing and advection of phytoplankton in the upper ocean. Limnol. Oceanogr., 28: 801-815.
Denman, K.L. and Herman, A.W. (1978). Space-time structure of a continental shelf ecosystem measured by a towed porpoising vehicle. J. Mar. Res., 36: 693-714.
Der Ko, S., Tribbia, J.J. and Boyd, J.P. (1989a). Energetics analysis of a multilevel global spectral model. Part I: Balanced energy and transient energy. Monthly Weather Rev., 117: 1941-1953.
Der Ko, S., Tribbia, J.J. and Boyd, J.P. (1989b). Energetics analysis of a multilevel global spectral model. Part II: Zonal and meridional gravitational energy. Monthly Weather Rev., 117: 1954-1964.
Deschamps, P-Y., Fougnie, B., Frouin, R, Lecomte, P. and Verwaerde, C. (2004). SIMBAD: a field radiometer for satellite ocean-color validation. Applied Optics , 43(20): 4055-4069.
Deschamps, P.Y., Breon, F.M., Leroy, M., Podaire, A., Bricaud, A., Buriez, J.C., and Seze, G. (1994). The POLDER Mission : Instrument characteristics and scientific objectives. IEEE Transactions on Geoscience and Remote Sensing, 2(3): 598-615.
Deschamps, P.Y., Herman, M. and Tanre, D. (1983). Modeling of the atmospheric effects and its applications to the remote sensing of ocean color. Appl. Optics., 22: 3751-3758.
Deschamps, P.Y., Herman, M., Lenoble, J., Tanre, D., Viollier, M. (1980). Atmospheric effects in remote sensing of ground and ocean reflectances. In: Remote Sensing of Atmospheres and Oceans, A. Deepak (ed.), Academic Press, New York, USA, 115-147.
Descloitres, J, Roy, DP, and Couvert, P. (2000). Evidence and implications of solar eclipses in short wavelength global remotely sensed data Int. J. Rem. Sens., 21(9): 1961-1967.
Desiderio, R.A. (2000). Application of the Raman Scattering Coefficient of Water to Calculations in Marine Optics. Appl. Optics, 39(12): 1893-1894.
Desiderio, R.A., Cowles, T.J., Moum, J.N. and Myrick, M. (1993). Microstructure profiles of laser-induced chlorophyll fluorescence spectra: evaluation of backscatter and forward-scatter fiber-optic sensors. J. Atmos. Ocean Technol., 10: 211-224.
Deuser, W.G., Müller-Karger, F.E., Evans, R.H., Brown, O.B., Esaias, W.E. and Feldman, G.C. (1990). Surface-ocean color and deep-ocean carbon flux: how close a connection? Deep-Sea Res. I., 37: 1331-1343.
Dev, P.J. and Shanmugam, P (2017). New theoretical formulation for the determination of radiance transmittance at the water-air interface. Optics Express, 25(22): 27086.
Devred, E. Sathyendranath, S. Stuart, V., Platt, T. (2011) Absorption-derived phytoplankton cell size: application to satellite ocean-colour data in the Northwest Atlantic. Remote Sensing of Environment 115: 2255–2266.
Devred, E., Martin, J., Sathyendranath, S., Stuart, V., Horne, E., Platt, T., Forget, M-H., Smith, P. (2018). Development of a conceptual warning system for toxic levels of Alexandrium fundyense in the Bay of Fundy based on remote sensing data. Remote Sens. Environ. 211: 413–424. https://doi.org/10.1016/j.rse.2018.04.022
Devred, E., Sathyendranath, S., and Platt, T. (2007). Delineation of ecological provinces using ocean colour radiometry. Mar. Ecol. Prog. Ser., In press, September 2007.
Devred, E., Sathyendranath, S., Stuart, V., Maass, H., Ulloa, O., and Platt, T. (2006). A two-component model of phytoplankton absorption in the open ocean: Theory and applications. Journal of Geophysical Research, 111: C03011, doi:10.1029/2005JC002880, 2006. [PDF File]
de Vries, R., Egger, M., Mani, T. and Lebreton, L. (2021). Quantifying floating plastic debris at sea using vessel-based optical data and artificial intelligence. Remote Sensing, 13(17), 3401, https://doi.org/10.3390/rs13173401
Dey, S. Sarkar, S. and Singh, R.P. (2004). Comparison of aerosol radiative forcing over the Arabian Sea and the Bay of Bengal. Advances in Space Research, 33 (7):1104-1108.
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