Bai, Y., W.-J. Cai, X. He, W Zhai, D. Pan, M. Dai, and P. Yu (2015). A mechanistic semi-analytical method for remotely sensing sea surface pCO2 in river-dominated coastal oceans: A case study from the East China Sea. Journal of Geophysical Research: Oceans, 120, doi:10.1002/2014JC010632. [Full article]

Baird, M.E., Cherukuru, N., Jones, E., Margvelashvili, N., Mongin, M., Oubelkheir, K., Ralph, P.J., Rizwi, F., Robson, B.J., Schroeder, T. and Skerratt, J. (2016). Remote-sensing reflectance and true colour produced by a coupled hydrodynamic, optical, sediment, biogeochemical model of the Great Barrier Reef, Australia: Comparison with satellite data. Environmental Modelling & Software, 78: 79-96.

Barnes, B.B., C. Hu, C. Kovach, R.N. Silverstein (2015). Sediment plumes induced by the Port of Miami dredging: Analysis and interpretation using Landsat and MODIS data. Remote Sens. Environ., 170:328-339. doi:10.1016/j.rse.2015.09.023 [Full article]

Beck, R., S. Zhan, H. Liu, S. Tong, B. Yang, M. Xu, Z. Ye, Y. Huang, S. Shu, Q. Wu, S. Wang, K. Berling, A. Murray, E. Emery, M. Reif, J. Harwood, J. Young, C. Nietch, D. Macke, M. Martin, G. Stillings, R. Stump, H. Su (2016). Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations. Remote Sensing of Environment, 178: 15-30, [Full article]

Bracher A., Taylor B.B., Taylor M., Dinter T., Röttgers R., Steinmetz F. (2015). Using empirical orthogonal functions derived from remote sensing reflectance for the prediction of concentrations of phytoplankton pigments. Ocean Science 11: 139-158.13.

Bracher et al. (2017). Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development. Frontiers in Marine Science, 03 March 2017,  [Full article].

Brando, V. E. and Braga, F. and Zaggia, L. and Giardino, C. and Bresciani, M. and Matta, E. and Bellafiore, D. and Ferrarin, C. and Maicu, F. and Benetazzo, A. and Bonaldo, D. and Falcieri, F. M. and Coluccelli, A. and Russo, A. and Carniel, S. (2015). High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event. Ocean Science, 11(6): 909-920. [ Full article.]

Brando, V.E., Lovell, J.L., King, E.A., Boadle, D., Scott, R., Schroeder, T. (2016). The Potential of Autonomous Ship-Borne Hyperspectral Radiometers for the Validation of Ocean Color Radiometry Data. Remote Sens. 8: 150. [Full article]

Bulgarelli B., Kiselev V., and Zibordi G. (2017). Adjacency effects in satellite radiometric products from coastal waters: a theoretical analysis for the northern Adriatic Sea. Applied Optics,  56 (4):. 854–16. DOI: 10.1364/AO.56.000854

Busch, J. A., Price, I., Jeauson, E., Zielinski, O., v.d. Woerd, H. J. (2016). Citizens and satellites: Assessment of phytoplankton dynamics in a NW Mediterranean aquaculture zone. International Journal of Applied Earth Observation and Geoinformation 47: 40-49; DOI 10.1016/j.jag.2015.11.107. [Full article]

Cherukuru, N., Davies, P.L., Brando, V.E., Anstee, J.M., Baird, M.E., Clementson, L.A. and Doblin, M.A. (2016). Physical oceanographic processes influence bio-optical properties in the Tasman Sea. Journal of Sea Research

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]

Dierssen, H.M., A. Chlus, B. Russell (2015). Hyperspectral discrimination of floating mats of seagrass wrack and the macroalgae Sargassum in coastal waters of Greater Florida Bay using airborne remote sensing. Remote Sensing of Environment, [Full article].

Dinter T., Rozanov V., Burrows, J. P., Bracher A. (2015). Retrieval of light availability in ocean waters utilizing signatures of vibrational Raman scattering in hyper-spectral satellite measurements. Ocean Science 11: 373-389.

Dornhofer, K., Oppelt, N. (2016). Remote sensing for lake research and monitoring – Recent advances. Ecological Indicators 64: 105-122. [Abstract]

Dutkiewicz, S., A.E. Hickman, O. Jahn, W.W. Gregg, C.B. Mouw, and M.J. Follows (2015). Capturing optically important constituents and properties in a marine biogeochemical and ecosystem model. Biogeoscience, 12: 4447-4481, doi:10.5194/bg-12-4447-2015 [Abstract]

Fichot C. G., Downing B.D., Bergamaschi B.A., Windham-Myers L. , Marvin-DiPasquale M., Thompson D.R., and Gierach M.M. (2016). High-resolution remote sensing of water quality in the San Francisco Bay-Delta Estuary. Environ. Sci. Technol. 50, 573−583. doi:10.1021/acs.est.5b03518

Frouin, R. and Pelletier, B (2015). Bayesian methodology for inverting satellite ocean-color data. Remote Sensing of Environment, 159: 332–360. [Full article].

Garaba, S., Friedrichs, A., Voß, D., Zielinski, O. (2015). Classifying natural waters with the Forel-Ule colour index system: Results, applications, correlations and crowdsourcing. Int. J. Environ. Res. Public Health, 12: 16096-16109, doi:10.3390/ijerph121215044. [Full text].

Garaba, S. P. , Voß, D., Wollschläger, J., and Zielinski, O. (2015). Modern approaches to shipborne ocean color remote sensing. Applied Optics 54(12): 3602-3612. [Abstract].

Garaba, S.P., Zielinski, O. (2015). An assessment of water quality monitoring tools in an estuarine system. Remote Sensing Applications: Society and Environment, Vol. 2: December 2015, 1-10,

Graff, J.R., T.K. Westberry, A.J. Milligan, M. B. Brown, G. Dall’Olmo, V. van Dongen-Vogels, K. M. Reifel, M. J. Behrenfeld (2015). Analytical phytoplankton carbon measurements spanning diverse ecosystems. Deep Sea Research Part I: Oceanographic Research Papers, 102: 16-25. [Full article]

Harmel T., Hieronymi M., Slade W., Röttgers R., Roullier F. Chami M. (2016). Laboratory experiments for inter-comparison of three volume scattering meters to measure angular scattering properties of hydrosols. Opt Express, 24(2), A234-256, doi:10.1364/OE.24.00A234. [Full text]

Hestir, E.L., Brando, V.E., Bresciani, M., Giardino, C., Matta, E., Villa, P., Dekker, A.G. (2015). Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission. Remote Sensing of Environment, [Full article].

Holinde, L., Zielinski, O. (2016). Bio-optical characterization and light availability parameterization in Uummannaq Fjord and Vaigat–Disko Bay (West Greenland), Ocean Sci., 12: 117-128, doi:10.5194/os-12-117-2016. [ Full text]

Hu, C., Feng, L., Hardy, R.F., Hochberg, E.J. (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae. Remote Sensing of Environment. [Full article].

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.

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]

Knaeps, E., K.G. Ruddick, D. Doxaran, A.I. Dogliotti, B. Nechad, D. Raymaekers, S. Sterckx (2015). A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters Remote Sens. Environ. 168: 66-79 [Full article].

Kostadinov T., Cabré A., Vedantham H., Marinov I., Bracher A., Brewin R., Bricaud A., Hirata T., Hirawake T., Hardman-Mountford N., Mouw C., Roy S., Uitz J. (2017) Inter-Comparison of Phytoplankton Functional Types Derived from Ocean Color Algorithms and Earth System Models: Phenology. Remote Sensing of Environment 190: 162-177. doi: 10.1016/j.rse.2016.11.014

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, [Full article].

Lee, Z., Shang, S., Hu, C., Du, K., Weidemann, A., Hou, W., Lin, J., Lin, G. (2015). Secchi disk depth: A new theory and mechanistic model for underwater visibility, Remote Sensing of Environment, 169: 139-149, [Full article]

Lin, H., Kuzminov, F.I., Park, J., Lee, S.H., Falkowski, P.G., Gorbunov, M.Y. (2016). The fate of photons absorbed by phytoplankton in the global ocean. Science, 351:6270, 264–267. [Abstract]

Mao, Z., et al. (2016), A dynamic sediment model based on satellite-measured concentration of the surface suspended matter in the East China Sea, J. Geophys. Res. Oceans, 121, doi:10.1002/2015JC011466. [Full Article].

Matthews, M.W. and Odermatt, D. (2015). Improved algorithm for routine monitoring of cyanobacteria and eutrophication in inland and near-coastal waters. Remote Sensing of Environment, 156: 374-382. [Full Article].

McFarland MN, Rines J, Sullivan J, Donaghay P (2015). Impact of phytoplankton size and physiology on particulate optical properties determined with scanning flow cytometry. Mar Ecol Prog Ser 531:43-61. [Abstract]

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]

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 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, [Full article]

Mobley, C.D., Werdell, J., Franz, B., Ahmad, Z., and Bailey, S. (2016). Atmospheric Correction for Satellite Ocean Color Radiometry. NASA Goddard Space Flight Center, Greenbelt, MD. USA. [PDF File]

Moses, W. J., Ackleson, S. G., Hair, J. W., Hostetler, C. A. and Miller, W. D. (2016). Spatial scales of optical variability in the coastal ocean: Implications for remote sensing and in situ sampling, Journal of Geophysical Research: Oceans, 121, doi: 10.1002/2016JC011767. [Full article]

Moses, W.J., Bowles, J.H. and and Corson, M.R. (2015). Expected Improvements in the Quantitative Remote Sensing of Optically Complex Waters with the Use of an Optically Fast Hyperspectral Spectrometer — A Modeling Study. Sensors 15(3): 6152-6173; doi:10.3390/s150306152. [Full article]

Mouw, C.B., S. Greb, D. Aurin, P. DiGiacomo, Z. Lee, M. Twardowski, C. Binding, C. Hu, R. Ma, T. Moore, W. Moses, S. Craig (2015). Aquatic color radiometry remote sensing of coastal and inland waters: challenges and recommendations for future satellite missions. Remote Sensing of Environment, 160: 15-30, 10.1016/j.rse.2015.02.001. [Full article]

Mouw C., Hardman-Montford N., Alvain S., Bracher A., Brewin R., Bricaud A., Ciotti A., Devred E., Fujiwara A., Hirata T., Hirawake T., Kostadinov T., Roy S., Uitz J. (2017) A Consumer’s Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean. Frontiers in Marine Science 4: 00041, doi: 10.3389/fmars.2017.00041

Neukermans, G., Reynolds, R. A. and Stramski, D. (2016). Optical classification and characterization of marine particle assemblages within the western Arctic Ocean. Limnol. Oceanogr. doi:10.1002/lno.10316. [Full article]

Pahlevan, N., Sarkar, S., and Franz, B.A. (2016). Uncertainties in coastal ocean color products: Impacts of spatial sampling. Remote Sensing of Environment, 181: 14-26 (doi:10.1016/j.rse.2016.03.022). [Full article].

Palacios, S.L., Kudela, R.M., Guild, L.S., Negrey, K.H., Torres-Perez, J., Broughton, J. (2015). Remote sensing of phytoplankton functional types in the coastal ocean from the HyspIRI Preparatory Flight Campaign. Remote Sensing of Environment. [Full article].

Pitarch, J., Volpe, G., Colella, S., Krasemann, H., & Santoleri, R. (2016). Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data. Ocean Science, 12(2), 379-389.

Pitarch, J., Bellacicco, M., Volpe, G., Colella, S., & Santoleri, R. (2016). Use of the quasi-analytical algorithm to retrieve backscattering from in-situ data in the Mediterranean Sea. Remote Sensing Letters, 7(6), 591-600.

Pitarch, J., Volpe, G., Colella, S., Santoleri, R., & Brando, V. (2016). Absorption correction and phase function shape effects on the closure of apparent optical properties. Applied optics, 55(30), 8618-8636.

Pitarch, J., Ruiz‐Verdú, A., Sendra, M. D., & Santoleri, R. (2017). Evaluation and reformulation of the maximum peak height algorithm (MPH) and application in a hypertrophic lagoon. Journal of Geophysical Research: Oceans.

Racault, M.F., Raitsos, D.E., Berumen, M.L., Brewin, R.J.W., Platt, T., Sathyendranath, S., Hoteit, I. (2015). Phytoplankton phenology indices in coral reef ecosystems: Application to ocean-color observations in the Red Sea. Remote Sensing of Environment, 160: 222-234. [Full article].

Ramírez-Pérez M., Gonçalves-Araujo R., Wiegmann S., Torrecilla E., Bracher A., Piera J. (2017) Towards cost-effective operational monitoring systems for complex waters: analyzing small-scale coastal processes with optical transmissometry. PLOS ONE 12(1): e0170706,

Rozanov V.V., T. Dinter, A.V. Rozanov, A. Wolanin, A. Bracher, Burrows J.P. (2017) Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic scattering processes: Software package SCIATRAN. J. Quant. Spectrosc. Rad. Transfer 194:

Rüssmeier, N., Zielinski, O. (2016). A novel method of measuring upwelling radiance in the hydrographic sub-hull. JEOS:RP, DOI:10.2971/jeos.2016.16003 [Full text].

Sá, C., D’Alimonte, D., Brito, A.C., Kajiyama, T., Mendes, C.R., Vitorino, J., Oliveira, P.B., da Silva, J.C.B., Brotas, V. (2015). Validation of standard and alternative satellite ocean-color chlorophyll products off Western Iberia, Remote Sensing of Environment, 168: 403-419. doi:10.1016/j.rse.2015.07.018 [Full article].

Sauzède, R., H. Claustre, J. Uitz, C. Jamet, G. Dall’Olmo, F. D’Ortenzio, B. Gentili, A. Poteau, and C. Schmechtig (2016), A neural network-based method for merging ocean color and Argo data to extend surface bio-optical properties to depth: Retrieval of the particulate backscattering coefficient, J. Geophys. Res. Oceans, 121, doi:10.1002/2015JC011408. [Full article].

Signorini SR, Franz BA and McClain CR (2015). Chlorophyll variability in the oligotrophic gyres: mechanisms, seasonality and trends. Front. Mar. Sci. 2:1. doi: 10.3389/fmars.2015.00001 [Abstract]

Slade W., and E. Boss (2015). Spectral attenuation and backscattering as indicators of average particle size. Applied Optics 54: 7264-7277, doi:10.1364/AO.54.00726. [Full article ].

Sokoletsky, L., Shen, F., Yang, X., and Wei, X. (2016). Evaluation of empirical and semi-analytical spectral reflectance models for surface suspended  sediment concentration in the highly variable estuarine and coastal waters of East China. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 9(11): 5182-5192. [Full Article]

Soppa M. A., Völker C., Bracher A. (2016). Diatom phenology in the Southern Ocean: Mean patterns, trends and the role of climate oscillations. Remote Sensing 8: 420, doi:10.3390/rs8050420 [Full article ].

Soto, I.M., Cannizzaro, J., Muller-Karger, F.E., Hu, C., Wolny, J. and Goldgof, D. (2015). Evaluation and optimization of remote sensing techniques for detection of Karenia brevis blooms on the West Florida Shelf. Remote Sens. Environ. 170: 239-254 [Full article].

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

Vanhellemont, Q. and Ruddick (2015). Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8. Remote Sensing of Environment, 161: 89–106. [Full Article]

Wang, G., Lee, Z., Mishra, D. R., & Ma, R. (2016). Retrieving absorption coefficients of multiple phytoplankton pigments from hyperspectral remote sensing reflectance measured over cyanobacteria bloom waters. Limnology and Oceanography: Methods, 14(7), 432-447.

Wang, M., and Hu, C. (2016). Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations. Remote Sensing of Environment, [Full Article].

Wattelez, G., Dupouy, C., Mangeas, M., Lefèvre, J., Touraivane, Frouin, R. (2016). A statistical algorithm for estimating chlorophyll concentration in the New Caledonian lagoon, Remote Sens. 8(1), 45; doi:10.3390/rs8010045 [Full Article].

Wei, J., Z. Lee, M. Ondrusek, A. Mannino, M. Tzortziou, and R. Armstrong (2016), Spectral slopes of the absorption coefficient of colored dissolved and detrital material inverted from UV-visible remote sensing reflectance, J. Geophys. Res. Oceans, 121, 1953–1969, doi:10.1002/2015JC011415. [Full Article].

Wei, J., Z. Lee, and S. Shang (2016), A system to measure the data quality of spectral remote-sensing reflectance of aquatic environments, Journal of Geophysical Research, 121, doi:10.1002/2016JC012126. [Full article].

Wells, M.L., Trainer, V.L., Smayda, T.J., Karlson, B.S.O., Trick, C.G., . Kudela, RM., Ishikawa, A., Bernard, S., Wulff, A., Anderson, D.M., Cochlan, W.P. (2015). Harmful algal blooms and climate change: Learning from the past and present to forecast the future. Harmful Algae, 49: 68-93. [Abstract]

Wolanin A., Rozanov V., Dinter T., Bracher (2015). Detecting CDOM fluorescence using high spectrally resolved satellite data: a model study. In: G. Lohmann, H. Meggers, V. Unnithan, D. Wolf-Gladrow, J. Notholt, A. Bracher (eds.), Towards an Interdisciplinary Approach in Earth System Science, Springer Earth System Sciences, Springer, Heidelberg, Germany. ISBN 978-3-319-13864-0, DOI 10.1007/978-3-319-13865-7, pages 109-121

Wolanin A., Rozanov V. V., Noel S., Dinter T., Vountas M., Burrows J.P., Bracher A. (2015). Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results. Remote Sensing of Environment, 166: 243-261 . doi: 10.1016/j.rse.2015.05.018. [Full Article].

Wolanin A., Soppa M. A., Bracher A., (2016) Investigation of spectral band requirements for improving retrievals of phytoplankton functional types. Remote Sensing 8: 871; doi:10.3390/rs8100871

Xi, H., Larouche, P., Michel, C. and Tang, S. (2015). Beam attenuation, scattering and backscattering of marine particles in relation to particle size distribution and composition in Hudson Bay (Canada). Journal of Geophysical Research, 120: 3286-3300.

Xing, Q., C. Hu (2016). Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique. Remote Sensing of Environment, 178: 113-126, ISSN 0034-4257, [Full Article].

Yang, X., Sokoletsky, L., Wei, X., and Shen, F. (2017). Suspended sediment concentration mapping based on the MODIS satellite imagery in the East China inland, estuarine, and coastal waters. Chinese Journal of Oceanology and Limnology, 35(1): 39-60. [Full Article]

Ye, H., Li, J.,Li, T., Shen, Q., Zhu, J., Wang, X., Zhang, F., Zhang, J., Zhang, B. (2016). Spectral Classification of the Yellow Sea and Implications for Coastal Ocean Color Remote Sensing. Remote Sens. 8(4): 321. doi:10.3390/rs8040321. [Full Article]

Zibordi, G., F. Mélin, K.J. Voss, B. C. Johnson, B. A. Franz, E. Kwiatkowska, J-P. Huot, M. Wang and D. Antoine (2015). System vicarious calibration for ocean color climate change applications: Requirements for in situ data. Remote Sensing of Environment, 159(15): 361-369. [Full Article].

Zhang, M., D. English , C. Hu , P. Carlson , F. E. Muller-Karger, G. Toro-Farmer , S. R. Herwitz (2016). Short-term changes of remote sensing reflectance in a shallow-water environment: observations from repeated airborne hyperspectral measurements. International Journal of Remote Sensing, 37(7). [Full Article].

Zhao, J., M.Temimi , S. Al Kitbi , N. Mezhoud (2016). Monitoring HABs in the shallow Arabian Gulf using a qualitative satellite-based index. International Journal of Remote Sensing 37(8). [Full Article].

If you would like your peer-reviewed publications included in this bibliography, please send the information to the IOCCG Project Scientist, Dr. Venetia Stuart. Please include the full reference in the email using the following format:

Lastname, Initials., Lastname, Initials. (date). Title of publication, Journal Abbreviation, page numbers. [URL] (if available).

Please do not send the PDF file as an attachment. Note that only peer-reviewed articles will be accepted.

Another very useful ocean colour bibliography is NASA’s searchable Ocean Color Publications Database.

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