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
Moshtaghi, M., Knaeps, E., Sterckx, S., Garaba, S., and Meire, D. (2021) Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment, Sci. Rep., 11, 5436(1-12), https://doi.org/10.1038/s41598-021-84867-6
Moy, K., Neilson, B., Chung, A., Meadows, A., Castrence, M., Ambagis, S., and Davidson, K. (2018). Mapping coastal marine debris using aerial imagery and spatial analysis, Mar. Pollut. Bull., 132, 52-59, https://doi.org/10.1016/j.marpolbul.2017.11.045
Murata, H., Komatsu, T., Yonezawa, C. (2019) Detection and discrimination of aquacultural facilities in Matsushima Bay, Japan, for integrated coastal zone management and marine spatial planning using full polarimetric L-band airborne synthetic aperture radar. Int. J. Remote Sens., 40 (13), 5141-5157, DOI: https://doi.org/10.1080/01431161.2019.1579380
Nagy, M., Istrate, L., Simtinică, M., Travadel, S. and Blanc, P. (2022). Automatic detection of marine litter: A general framework to leverage synthetic data. Remote Sens., 14, (23), 6102, https://doi.org/10.3390/rs14236102
Nakashima, E., Isobe, A., Magome, S., Kako, S. i., and Deki, N. (2011). Using aerial photography and in situ measurements to estimate the quantity of macro-litter on beaches, Mar. Pollut. Bull., 62, 762-769, https://doi.org/10.1016/j.marpolbul.2011.01.006.
Olyaei, M., & Ebtehaj, A. (2023). Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms. Remote Sensing, 16(1), 172. https://doi.org/10.3390/rs16010172
Olyaei, M., Ebtehaj, A., & Hong, J. (2022), “Optical Detection of Marine Debris Using Deep Knockoff,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5413912, doi: 10.1109/TGRS.2022.3228638.
Palombi, L., Raimondi, V., (2022). Experimental Tests for Fluorescence LIDAR Remote Sensing of Submerged Plastic Marine Litter, Remote Sens. 2022, 14, 5914. https://doi.org/10.3390/
Papachristopoulou, I., Filippides, A., Fakiris, E., and Papatheodorou, G. (2020). Vessel-based photographic assessment of beach litter in remote coasts. A wide scale application in Saronikos Gulf, Greece, Mar. Pollut. Bull., 150, 110684, https://doi.org/10.1016/j.marpolbul.2019.110684
Papageorgiou, D., Topouzelis, K., Suaria, G., Aliani, S., and Corradi, P.(2022). Sentinel-2 Detection of Floating Marine Litter Targets with Partial Spectral Unmixing and Spectral Comparison with Other Floating Materials (Plastic Litter Project 2021), Remote Sens., 14(23), 5997, https://doi.org/10.3390/rs14235997
Papakonstantinou, A., Batsaris, M., Spondylidis, S., and Topouzelis, K. (2021). A citizen science unmanned aerial system data acquisition protocol and deep learning techniques for the automatic detection and mapping of marine litter concentrations in the coastal zone, Drones, 5(1), 6, https://doi.org/10.3390/drones5010006
Papakonstantinou, A., Moustakas, A., Kolokoussis, P., Papageorgiou, D., de Vries, R. and Topouzelis, K. (2023). Airborne spectral reflectance dataset of submerged plastic targets in a coastal environment. Data, 8, (1), 19, https://doi.org/10.3390/data8010019
Park, Y.-J., Garaba, S. P., and Sainte-Rose, B. (2021) Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery. Opt. Express, 29 (22), 35288-35298, https://doi.org/10.1364/OE.
Parrish, C. E., Winans, W. R., Battista, T., Uhrin, A. V., Herrera, K., Murphy, P., Simpson, C. and Slocum, R. (2023) Uncrewed aircraft systems, machine learning, and polarimetric imaging for enhanced marine debris shoreline surveys. NOAA Technical Memorandum NOS NCCOS 312, Marine Spatial Ecology Division, Silver Spring, MD, USA, 31 p., https://doi.org/10.25923/337h-k518
Pathira Arachchilage, K. R. L., Tang, D., Yu, J., and Wang, S. (2022) A preliminary analysis towards detecting floating marine macro plastics using an index developed for sentinel 2 acolite and sen2cor images, Journal of Geospatial Surveying, 2, 1-10, http://doi.org/10.4038/jgs.v2i2.37
Pichel, W. G., Veenstra, T. S., Churnside, J. H., Arabini, E., Friedman, K. S., Foley, D. G., Brainard, R. E., Kiefer, D., Ogle, S., Clemente-Colón, P. and Li, X. (2012) GhostNet marine debris survey in the Gulf of Alaska – Satellite guidance and aircraft observations. Mar. Pollut. Bull., 65(1–3), 28-41, https://doi.org/10.1016/j.marpolbul.2011.10.009
Piehl, S., Atwood, E.C., Bochow, M., Imhof, H.K., Franke, J., Siegert, F., Laforsch, C. (2020). Can Water Constituents Be Used as Proxy to Map Microplastic Dispersal Within Transitional and Coastal Waters? Frontiers in Environmental Science, 8:92, https://doi.org/10.3389/fenvs.2020.00092
Pinto, L., Andriolo, U., and Gonçalves, G. (2021). Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network, Mar. Pollut. Bull., 169, 112594, https://doi.org/10.1016/j.marpolbul.2021.112594
Qi, L., Hu, C., Barnes, B. B., Lapointe, B. E., Chen, Y., Xie, Y., & Wang, M. (2022). Climate and anthropogenic controls of seaweed expansions in the East China Sea and Yellow Sea. Geophysical Research Letters, 49, e2022GL098185. https://doi.
Qi, L., M. Wang, and C. Hu (2023). Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations. IEEE Geosciences and Remote Sens. Lett, 20, 1501805, https://doi.org/10.
Qi, L., M. Wang, C. Hu, and B. Holt (2022). On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters. Remote Sens. Environ., 280, 113188, https://doi.org/10.1016/j.rse.2022.113188.
Qi, L., P. Cheng, M. Wang, C. Hu, Y. Xie, and K. Mao (2023). Where does floating Sargassum in the East China Sea come from? Harmful Algae, 129, 102523, https://doi.org/10.
Ryan, P. G.(2020). Using photographs to record plastic in seabird nests, Mar. Pollut. Bull., 156, 111262, https://doi.org/10.1016/j.marpolbul.2020.111262
Sakti, A. D., Sembiring, E., Rohayani, P., Fauzan, K. N., Anggraini, T. S., Santoso, C., Patricia, V. A., Ihsan, K. T. N., Ramadan, A. H., Arjasakusuma, S. and Candra, D. S. (2023). Identification of illegally dumped plastic waste in a highly polluted river in Indonesia using Sentinel-2 satellite imagery. Sci. Rep., 13, (1), 5039, https://doi.org/10.1038/s41598-023-32087-5
Salgado-Hernanz, P. M., Bauzà, J., Alomar, C., Compa, M., Romero, L. and Deudero, S. (2021). Assessment of marine litter through remote sensing: recent approaches and future goals, Mar. Pollut. Bull., 168(March), 112347, https://doi.org/10.1016/j.marpolbul.2021.112347
Samson, J. J. (2024), Characterization of microplastics using fourier infrared spectroscopy. In Microplastics and pollutants: Interactions, degradations and mechanisms, Sivasankar, V., Sunitha, T. G., Eds. Springer Nature Switzerland: Cham, pp 129-148, https://doi.org/10.1007/978-3-031-54565-8_6
Sandifer, P. A., Brooks, B. W., Canonico, G., Chassignet, E. P., Kirkpatrick, B., Porter, D. E., Schwacke, L. H., Scott, G. I. and Kelsey, R. H. (2023) Chapter 19 – Observing and monitoring the ocean, in Fleming, L. E., Alcantara Creencia, L. B., Gerwick, W. H., Goh, H. C., Gribble, M. O., Maycock, B., and Solo-Gabriele, H., eds., Oceans and Human Health (Second Edition): San Diego, Academic Press, 549-596, https://doi.org/10.1016/B978-0-323-95227-9.00026-9
Sannigrahi, S., Basu, B., Basu, A. S., and Pilla, F. (2022) Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models. Marine Pollution Bulletin, 178, 113527, https://doi.org/10.1016/j.
Sasaki, K., Sekine, T., and Emery, W. (2024) Enhancing the detection of coastal marine debris in very high resolution satellite imagery via unsupervised domain adaptation, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 1-16, https://doi.org/10.1109/JSTARS.2024.3364165
Savastano, S., Cester, I., Perpinyà, M., and Romero, L. (2021) . A first approach to the automatic detection of marine litter in SAR images using artificial intelligence, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, 8704-8707, https://doi.org/10.1109/IGARSS47720.2021.9737038
Schaeffer, B. A., P. Whitman, R. Vandermeulen, C. Hu, A. Mannino, J. Salisbury, B. Efremova, R. Conmy, M. Coffer, W. Salls, H. Ferriby, and N. Reynolds (2023). Assessing potential of the Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) for water quality monitoring across the coastal United States. Marine Pollution Bulletin. 196, 115558, https://doi.org/10.
Schmidt, T., Kuester, T., Smith, T. and Bochow, M. (2023). Potential of optical spaceborne sensors for the differentiation of plastics in the environment. Remote Sens., 15, (8), 2020, https://doi.org/10.3390/rs15082020
Schreyers L, van Emmerik T, Nguyen TL, Phung N-A, Kieu-Le T-C, Castrop E, Bui T-KL, Strady E, Kosten S, Biermann L, van den Berg SJ and van der Ploeg M (2021). A Field Guide for Monitoring Riverine Macroplastic Entrapment in Water Hyacinths. Front. Environ. Sci. 9:716516. https://doi.org/10.3389/fenvs.2021.716516
Schreyers, L., van Emmerik, T., Nguyen, T. L., Castrop, E., Phung, N.-A., Kieu-Le, T.-C., Strady, E., Biermann, L., van der Ploeg, M. (2021). Plastic Plants: The Role of Water Hyacinths in Plastic Transport in Tropical Rivers. Front. . Environ. Sci. 9, 177. https://www.frontiersin.org/article/10.3389/fenvs.2021.686334
Serafino, F., and Bianco, A.(2021). Use of X-Band radars to monitor small garbage islands, Remote Sens. (Basel), 13, 3558, https://doi.org/10.3390/rs13183558.
Serranti, S., Palmieri, R., Bonifazi, G., and Cózar, A.(2018). Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging, Waste Management
76, 117-125, https://doi.org/10.1016/j.wasman.2018.03.003
Simpson, M. D., Marino, A., de Maagt, P., Gandini, E., de Fockert, A., Hunter, P., Spyrakos, E., Telfer, T. and Tyler, A. (2023). Investigating the backscatter of marine plastic litter using a C- and X-Band ground radar, during a measurement campaign in Deltares. Remote Sens, 15, (6), 1654, https://doi.org/10.3390/rs15061654
Simpson, M. D., Marino, A., de Maagt, P., Gandini, E., Hunter, P., Spyrakos, E., Tyler, A., and Telfer, T. (2022) Monitoring of plastic islands in river environment using Sentinel-1 SAR data, Remote Sens. (Basel), 14, 4473 (4471-4422), https://doi.org/10.3390/rs14184473.
Song, S., Sakuno, Y., Taniguchi, N., and Iwashita, H. (2021) Reproduction of the marine debris distribution in the Seto Inland Sea immediately after the July 2018 heavy rains in western Japan using multidate Landsat-8 Data.Remote Sens.(Basel), 13(24), 5048(5041-5018), DOI: https://doi.org/10.3390/rs13245048
Song, S., Sakuno, Y., Taniguchi, N., and Iwashita, H. (2021) Reproduction of the marine debris distribution in the Seto Inland Sea immediately after the July 2018 heavy rains in Western Japan using multidate Landsat-8 Data, Remote Sens. (Basel), 13, 5048, https://doi.org/10.3390/rs13245048
Sun, Y., Bakker, T., Ruf, C. and Pan, Y. (2023). Effects of microplastics and surfactants on surface roughness of water waves. Sci. Rep., 13, (1), 1978, https://doi.org/10.1038/s41598-023-29088-9
Swanepoel, S., Scheckle, T. J., and Marlin, D. (2023) Implementing land-based litter surveys through visual inspection of imagery using unmanned aerial vehicles. Environ. Chall., 13, 100753, https://doi.org/10.1016/j.envc.2023.100753
Taddia, Y., Corbau, C., Buoninsegni, J., Simeoni, U. and Pellegrinelli, A. (2021). UAV approach for detecting plastic marine debris on the beach: A case study in the Po River Delta (Italy). Drones, 5, (4), 140, https://doi.org/10.3390/drones5040140
Taggio, N., Aiello, A., Ceriola, G., Kremezi, M., Kristollari, V., Kolokoussis, P., Karathanassi, V., and Barbone, E.(2022) A combination of machine learning algorithms for marine plastic litter detection exploiting hyperspectral PRISMA data, Remote Sens. (Basel), 14, 3606, https://doi.org/10.3390/rs14153606.
Tasseron, P.; van Emmerik, T.; Peller, J.; Schreyers, L.; Biermann, L. (2021) Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery. Remote Sens. 13, 2335. https://doi.org/10.3390/
Tasseron, Paolo F., Louise Schreyers, Joseph Peller, Lauren Biermann, and Tim van Emmerik. (2022). Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery, Earth and Space Science 9, no. 11, https://doi.org/10.1029/2022EA002518
Themistocleous, K. (2021) Monitoring aquaculture fisheries using Sentinel-2 images by identifying plastic fishery rings, Proceedings SPIE Remote Sensing: Earth Resources and Environmental Remote Sensing/GIS Applications XII, Online Only, Spain, 11863, 1-7, https://doi.org/10.1117/12.2600225
Themistocleous, K., Papoutsa, C., Michaelides, S., and Hadjimitsis, D. (2020). Investigating detection of floating plastic litter from space using Sentinel-2 imagery, Remote Sens., 12(16), 2648, https://doi.org/10.3390/rs12162648
Topouzelis, K., Papageorgiou, D., Karagaitanakis, A., Papakonstantinou, A., and Arias Ballesteros, M. (2020). Remote sensing of sea surface artificial floating plastic targets with Sentinel-2 and unmanned aerial systems (Plastic Litter Project 2019), Remote Sens. (Basel), 12 (12), 2013, https://doi.org/10.3390/rs12122013
Topouzelis, K., Papageorgiou, D., Suaria, G. and Aliani, S. (2021). Floating marine litter detection algorithms and techniques using optical remote sensing data: A review. Marine Pollution Bulletin, 170, 112675. https://doi.org/10.1016/j.