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
Topouzelis, K., Papakonstantinou, A., and Garaba, S. P. (2019). Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018): International Journal of Applied Earth Observation and Geoinformation, v. 79, p. 175-183. https://doi.org/10.1016/j.jag.2019.03.011
Valdenegro-Toro, M. (2019) . Deep neural networks for marine debris detection in sonar images. PhD Thesis Heirot-Watt University, Edinburgh, United Kingdom, ArXiv e-prints, 1-241,
https://doi.org/10.48550/arXiv.1905.05241
van Sebille, E., Aliani, S., Law, K. L., Maximenko, N., Alsina, J. M., Bagaev, A., Bergmann, M., Chapron, B., Chubarenko, I., Cózar, A., Delandmeter, P., Egger, M., Fox-Kemper, B., Garaba, S. P., Goddijn-Murphy, L., Hardesty, B. D., Hoffman, M. J., Isobe, A., Jongedijk, C. E., Kaandorp, M. L. A., Khatmullina, L., Koelmans, A. A., Kukulka, T., Laufkötter, C., Lebreton, L., Lobelle, D., Maes, C., Martinez-Vicente, V., Morales Maqueda, M. A., Poulain-Zarcos, M., Rodríguez, E., Ryan, P. G., Shanks, A. L., Shim, W. J., Suaria, G., Thiel, M., van den Bremer, T. S., and Wichmann, D. (2020). The physical oceanography of the transport of floating marine debris. Environmental Research Letters, 15 (2): 023003, doi:10.1088/1748-9326/ab6d7d.
Veettil, B. K., Hong Quan, N., Hauser, L. T., Doan Van, D. and Quang, N. X. (2022). Coastal and marine plastic litter monitoring using remote sensing: A review. Est. Coast. Shelf Sci., 279, 108160, https://doi.org/10.1016/j.ecss.2022.108160
Waqas, M., Wong, M. S., Stocchino, A., Abbas, S., Hafeez, S., and Zhu, R. (2023) Marine plastic pollution detection and identification by using remote sensing-meta analysis, Mar. Pollut. Bull., 197, 115746, https://doi.org/10.1016/j.marpolbul.2023.115746
Watanabe, J.-I., Shao, Y., and Miura, N. (2019). Underwater and airborne monitoring of marine ecosystems and debris, J. Appl. Rem. Sens., 13, 044509, https://doi.org/10.1117/1.JRS.13.044509
Winans, W. R., Chen, Q., Qiang, Y., and Franklin, E. C. (2023) Large-area automatic detection of shoreline stranded marine debris using deep learning. Int. J. Appl. Earth Obs. Geoinformation, 124, 103515, https://doi.org/10.1016/j.jag.2023.103515
Wolf, M., van den Berg, K., Garaba, S. P., Gnann, N., Sattler, K., Stahl, F., and Zielinski, O. (2020). Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q), Environ. Res. Lett., 15, 114042, https://doi.org/10.1088/1748-9326/abbd01
Yang, J., Tan, K., Liu, S., Zhang, W., and Tao, P. (2023) Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners, Int. J. Appl. Earth Obs. Geoinformation, 116, 103149, https://doi.org/10.1016/j.jag.
Yukun, S., Bakker, T., Ruf, C., Pan, Y. (2023). Effects of microplastics and surfactants on surface roughness of water waves. Scientific Reports, http://dx.doi.org/10.1038/s415
Zhang, P., Du, P., Guo, S., Zhang, W., Tang, P., Chen, J., and Zheng, H.(2022). A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images, Remote Sens. Environ., 276, 113042 (113041-113024), https://doi.org/10.1016/j.rse.2022.113042.
Zhang, X., Min, C., Luo, J. and Li, Z. (2023) YOLOv5-FF: Detecting Floating Objects on the Surface of Fresh Water Environments. Appl. Sci., 13(13), 7367, https://doi.org/10.3390/app13137367
Zhang, Y., C. Hu, D. J. McGillicuddy, Jr., B. B. Barnes, Y. Liu, V. H. Kourafalou, S. Zhang, and F. J. Hernandez (2024). Pelagic Sargassum in the Gulf of Mexico driven by ocean currents and eddies. Harmful Algae, 132, 102566, https://doi.org/10.
Zhou, S., Kaufmann, H., Bohn, N., Bochow, M., Kuester, T. and Segl, K. (2022) Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data. Remote Sensing of Environment, 281, 113263, https://doi.org/10.1016/j.rse.2022.113263
Zhou, S., Kuester, T., Bochow, M. , Bohn, N., Brell, M., Kaufmann, H., (2021). A knowledge-based, validated classifier for the identification of aliphatic and aromatic plastics by WorldView-3 satellite data, Remote Sensing of Environment, Volume 264, 2021, 112598, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112598 .
Zhu, C., Kanaya, Y., Nakajima, R., Tsuchiya, M., Nomaki, H., Kitahashi, T., and Fujikura, K. (2020) Characterization of microplastics on filter substrates based on hyperspectral imaging: Laboratory assessments, Environ. Pollut., 263, 114296, https://doi.org/10.1016/j.envpol.2020.114296
Zhu, X., Lu, Y., Dou, C. and Ju, W. (2023) Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference. Opt. Express, 31 (17), 27612-27620, https://doi.org/10.1364/OE.497219