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
Hu, C., Y. Lu, S. Sun, and Y. Liu (2021). Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? J. Remote Sens., 2021, 9141902, https://doi.org/10.34133/2021/
Hu, L, C. Hu, and M-X. He (2017). Remote estimation of biomass of Ulva prolifera macroalgae in the Yellow Sea. Remote Sens. Environ., 192:217-227. http://dx.doi.org/10.1016/j.rse.2017.01.037
Hu, M., Ma, R., Xiong, J., Wang, M., Cao, Z., & Xue, K. (2022). Eutrophication state in the Eastern China based on Landsat 35-year observations. Remote Sensing of Environment, 277, 113057. https://doi.org/10.1016/j.rse.2022.113057
Hu,C., Lee, ZP and Franz, B (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. J. Geophys. Res. 117: C01011, doi:10.1029/2011JC007395, 2012 [PDF file].
Huang, S.J., Liu, G.R. and Kuo, T.H. (1999). The atmospheric correction of ROCSAT-1 OCI imagery – Part I: OCITRAN-1. Terr. Atmos. Ocean. Sci., 10(4): 855-864.
Hueni, A., and Bertschi, S. (2020). Detection of sub-pixel plastic abundance on water surfaces using airborne imaging spectroscopy, in IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, 26 Sept.-2 Oct, Waikoloa, HI, USA, 6325-6328, https://doi.org/10.1109/IGARSS39084.2020.9323556
Huot, Y., Morel, A., Twardowski, M. S., Stramski, D., and R. A Reynolds (2008). Particle optical backscattering along a chlorophyll gradient in the upper layer of the eastern south pacific ocean, Biogeosciences 5: 495-507.
Ibrahim,A., Gilerson,A, Harmel, T., Tonizzo, A., Chowdhary, J., and Ahmed, S. (2012). The relationship between upwelling underwater polarization and attenuation/absorption ratio. Optics Express, 20(23): 25662- 25680. [Full text]
Ichii, K., Matsui, Y., Yamaguchi, Y. and Ogawa, K. (2001). Comparison of global net primary production trends obtained from satellite-based normalized difference vegetation index and carbon cycle model. Global Biogeochem. Cycles 15 (2), : 351
IOCCG (1998). Minimum Requirements for an Operational Ocean-Colour Sensor for the Open Ocean, Reports of the International Ocean Colour Coordinating Group, IOCCG Project Office, Dartmouth, Canada, 46 p.
IOCCG (1999). Status and Plans for Satellite Ocean-Colour Missions: Considerations for Complementary Missions, Reports of the International Ocean-Colour Coordinating Group, No. 2, J. A. Yoder (ed.), IOCCG, Dartmouth, Canada, 43 p.
IOCCG (2000). Remote Sensing of Ocean Colour in Coastal, and Other Optically-Complex, Waters. Sathyendrath, S.(ed.), Reports of the International Ocean-Colour Coordinating Group, No. 3, IOCCG, Dartmouth, Canada.
Iordache, M.-D., De Keukelaere, L., Moelans, R., Landuyt, L., Moshtaghi, M., Corradi, P., and Knaeps, E. (2022). Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images, Remote Sens., 14(22), 5820, https://doi.org/10.3390/rs14225820
Ishizaka, J. (1990a). Coupling of coastal zone color scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem 1. CZCS data description and Lagrangian particle tracing experiments. J. Geophys. Res. 95: 20,167-20,181.
Ishizaka, J. (1990b). Coupling of coastal zone color scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem 2. An Eulerian model. J. Geophys. Res. 95: 20,183-20,199.
Ishizaka, J. (1990c). Coupling of coastal zone color scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem 3. Nutrient and phytoplankton fluxes and CZCS data assimilation. J. Geophys. Res. 95: 20,201-20,212.
Ishizaka, J. and Hofmann, E. E. (1993). Coupling of ocean color data to physical-biological models. In: Ocean Colour: Theory and Applications in a Decade of CZCS Experience, V. Barale and P. M. Schlittenhardt (eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands, 271-288.
Ishizaka, J., Fukushima, H., Kishino, M., Saino, T. and Takahashi, M. (1992). Phytoplankton pigment distributions in regional upwelling around the Izu peninsula detected by coastal zone color scanner on May 1982. J. Oceanogr. 48: 305-327.
Ishizaka, J., Kitaura, Y. Touke, Y, Sasaki, H., Tanaka, A., Murakami, H., Suzuki, T., Matsuoka,K. and Nakata, H. (2006). Satellite Detection of Red Tide in Ariake Sound, 1998-2001. J. Oceanogr. 62:37-45. [Abstract]
Iverson, R. L., Esaias, W. E., and Turpie, K. (2000). Ocean annual phytoplankton carbon and new production, and annual export production estimated with empirical equations and CZCS data. Global Change Biology. 6: 57-72.
Jackson, J. M., R. E. Thomson, L. N. Brown, P. G. Willis, and G. A. Borstad (2015). Satellite chlorophyll off the British Columbia Coast, 1997–2010, J. Geophys. Res. Oceans, 120, doi:10.1002/2014JC010496. [Full article]
Jakovljevic, G., Govedarica, M., and Alvarez-Taboada, F.(2020). A deep learning model for automatic plastic mapping using unmanned aerial vehicle (UAV) data, Remote Sens. (Basel), 12, 1515 ( 1511-1521),
http://dx.doi.org/10.3390/rs12091515
Jamet, C., H., Hubert, C.P., Kuchinke, K., Ruddick, G., Zibordi and H., Feng (2011). Comparison of three SeaWiFS atmospheric correction algorithms for turbid waters using AERONET-OC measurements, Remote Sensing of Environment, 115, 1955-1965, DOI: 10.1016/j.rse.2011.03.018. [Full text]
Jamet, C., Loisel, H., and Dessailly, D. (2012). Retrieval of the spectral diffuse attenuation coefficient Kd(λ) in open and coastal ocean waters using a neural network inversion. J. Geophys. Res. 117: C10023, doi:10.1029/2012JC008076, 2012. [PDF File]
Jamet, C., Thiria, S., Moulin, C. and Crepon, M. (2005). Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from ocean color imagery: a feasibility study. J. Atmos. Ocean. Tech., 22(4): 460-475, doi:10.1175/JTECH1688.1.
Jamet, C.; Ibrahim, A.; Ahmad, Z.; Angelini, F.; Babin, M.; Behrenfeld, M. J.; Boss, E.; Cairns, B.; Churnside, J.; Chowdhary, J.; Davis, A. B.; Dionisi, D.; Duforêt-Gaurier, L.; Franz, B.; Frouin, R.; Gao, M.; Gray, D.; Hasekamp, O.; He, X.; Hostetler, C.; Kalashnikova, O. V.; Knobelspiesse, K.; Lacour, L.; Loisel, H.; Martins, V.; Rehm, E.; Remer, L.; Sanhaj, I.; Stamnes, K.; Stamnes, S.; Victori, S.; Werdell, J. & Zhai, P.-W. (2019) Going Beyond Standard Ocean Color Observations: Lidar and Polarimetry. Frontiers in Marine Science, 6, 251. https://doi.org/10.3389/fmars.2019.00251
Janssens, N., Schreyers, L., Biermann, L., van der Ploeg, M., Le Bui, T.-K. and van Emmerik, T. (2022). Rivers running green: water hyacinth invasion monitored from space. Environmental Research Letters. 17 (4), https://doi.org/10.1088/1748-9326/ac52c
Jaquet, J.-M., Schanz, F., Bossard, P., Hanselmann, K. and Gendre, F. (1994). Measurement and significance of bio-optical parameters for remote sensing in two subalpine lakes of different tropic state. Aquat. Sci. 56: 263-305.
Jayasiri, H.B., Purushothaman, C.S., and Vennila, A (2013). Quantitative analysis of plastic debris on recreational beaches in Mumbai, India, Mar. Pollut. Bull., 77, 107-112, https://doi.org/10.1016/j.marpolbul.2013.10.024
Jeffrey, S. W., Wright, S. W., and Zapata, M. (1999). Recent advances in HPLC pigment analysis of phytoplankton. Mar. Freshwater Res. 50: 879-896.
Jia, T., Kapelan, Z., de Vries, R., Vriend, P., Peereboom, E. C., Okkerman, I. and Taormina, R., (2023). Deep learning for detecting macroplastic litter in water bodies: A review. Water Res., 231, 119632, https://doi.org/10.1016/j.watres.2023.119632
Jia, T., Vallendar, A. J., de Vries, R., Kapelan, Z., and Taormina, R. (2023) Advancing deep learning-based detection of floating litter using a novel open dataset, Front. Water, 5, 1298465, https://doi.org/10.3389/frwa.2023.1298465
Jiang B, Boss E, Kiffney T, Hesketh G, Bourdin G, Fan D and Brady DC (2022) Oyster Aquaculture Site Selection Using High-Resolution Remote Sensing: A Case Study in the Gulf of Maine, United States. Front. Mar. Sci. 9:802438. http://doi.org/10.3389/fmars.2022.802438
Jiang, L. and M. Wang (2014). Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing. Opt. Express, 22, 21657-21678. doi:10.1364/OE.22.021657
Jiang, L. D., and M. H. Wang (2013). Identification of pixels with stray light and cloud shadow contaminations in the satellite ocean color data processing, Appl. Optics, 52(27), 6757-6770, Doi 10.1364/Ao.52.006757.
Jiao, J., Y. Lu, and C. Hu (2023). Optical interpretation of oil emulsions in the ocean – Part III: A three-dimensional unmixing model to quantify oil concentration. Remote Sens. Environ., 296, 113719, https://doi.org/10.
Jiao, J., Y. Lu, and C. Hu (2024). Characterizing oil spills using deep learning and spectral-spatial-geometrical features of HY-1C/D CZI images. Remote Sens. Environ., 308, 114205, https://doi.org/10.
Jin, Z., T.P. Charlock, W.L. Smith, Jr., C.K. Rutledge, G.F. Cota, R. Kahn, J. Redemann, T. Zhang, D. Rutan, and F. Rose (2004). Radiation measurement and model simulation for CLAMS. J. Atmos. Sci.
Jitts, H., A. Morel And Y. Saijo, 1977. The relation of oceanic primary production to available photosynthetic irradiance. Aust. J. Mar. Freshwater Res., 27, 441-454.
Johannessen, S.C., Miller, W.L., and Cullen, J.J.(2003). Calculation of UV attenuation and colored dissolved organic matter absorption spectra from measurements of ocean color. J. Geophys. Res., 108(C9): 3301 10.1029/2000JC000514
Johnsen, G. and Sakshaug, E. (1993). Bio-optical characteristics and photoadaptive responses in the toxic and bloom–forming dinoflagellates Gyrodinium aureolum, Gymnodinium galatheanum, and two strains of Prorocentrum minimum. J. Phycol. 29: 627-642.
Johnsen, G., Nelson, N.B., Jovine, R.V.M. and Prézelin, B.B. (1994). Chromoprotein- and pigment–dependent modeling of spectral light absorption in two dinoflagellates Prorocentrum minimum and Heterocapsa pygmaea. Mar. Ecol. Prog. Ser. 114: 245-258.
Johnsen, G., Sakshaug, E. (2000). Monitoring of harmful algal blooms along the Norwegian coast using bio-optical methods. S. Afr. J. Mar. Sci. (22) 309-321.
Johnson, D.B., Flament, P. and Bernstein, R.L. (1994). High-resolution satellite imagery for mesoscale meteorological studies. Bull. Am. Meteorol. Soc. 75: 5-33.
Johnson, D.R., Miller, J., and Schofield, O. (2003). Dynamics and optics of the Hudson River outflow plume J. Geophys. Res.,108(C10): 3323 10.1029/2002JC001485
Johnson, D.R., Weidemann, A., Arnone, R., and Davis, C.O. (2001) Chesapeake Bay outflow plume and coastal upwelling events: Physical and optical properties J. Geophys. Res. Vol. 106 (No.C6), p. 11,613.
Joint, I., and Groom, S. B. (2000). Estimation of phytoplankton production from space: current status and future potential of satellite remote sensing. J. Exp. Mar. Biol. Ecol. 250: 233-255.
Jordan, M.B. (1988). A new submersible recording scalar light sensor array. Deep-Sea Res.I. 35: 1411-1423.
Jorde, L. B. and Harpending, H. C. (1976). Cross-spectral analysis of rainfall and human birth rate: an empirical test of a linear model. J. Hum. Evol. 5: 129-138.
Jorge, Daniel S.F., Hubert Loisel, Cédric Jamet, David Dessailly, Julien Demaria, Annick Bricaud, Stéphane Maritorena, Xiaodong Zhang, David Antoine, Tiit Kutser, Simon Bélanger, Vittorio O. Brando, Jeremy Werdell, Ewa Kwiatkowska, Antoine Mangin, Odile Fanton d’Andon (2021).
A three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance,
Remote Sens. Environ., 263, 112537. https://doi.org/10.1016/j.rse.2021.112537