References

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. http://dx.doi.org/10.1016/j.envsoft.2015.11.025

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, http://dx.doi.org/10.1016/j.rse.2016.03.002. [Full article]

Bracher et al. (2017). Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development. Frontiers in Marine Science, 03 March 2017, https://doi.org/10.3389/fmars.2017.00055.  [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. https://www.osapublishing.org/ao/abstract.cfm?uri=ao-56-4-854#articleBody.. 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 Researchhttp://dx.doi.org/10.1016/j.seares.2016.01.008

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]

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

Eleveld, M.A., Ruescas, A.B., Hommersom, A., Moore, T.S., Peters, S.W.M, Brockmann, C. (2017). An optical classification tool for global lake waters. Remote Sens. 9(5), 420 doi:10.3390/rs9050420

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

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]

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, 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

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

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

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].

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, http://dx.doi.org/10.1016/j.rse.2016.02.014. [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]

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].

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.

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, http://dx.doi.org/10.1371/journal.pone.0170706

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: http://dx.doi.org/10.1016/j.jqsrt.2017.03.009

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].

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].

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 ].

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, http://dx.doi.org/10.1016/j.rse.2016.04.019 [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].

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

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, http://dx.doi.org/10.1016/j.rse.2016.02.065. [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]

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.

Start typing and press Enter to search