René Garello, IEEE Fellow, Hans-Peter Plag, IEEE senior member, Jay Pearlman, IEEE Fellow

Have you ever thought about how much plastic we use in our daily lives? Walk around your local market and start to count. Plastics are ubiquitous and integrated in almost everything we produce, trade and use from the cloths we wear to the way our food is protected to the many tools we utilize. This massive use of plastics, along with an estimated average use time of 5 year [1] compared to a plastic materials life-time of between 500 and 5000 years has led to a steadily increasing and potentially catastrophic burden of plastics in all aspects of the Earth’s ecosystems. About five years ago, Marcus Eriksen, et al [1] reported an estimate of the total number of plastic particles and their weight floating in the world’s oceans from 24 expeditions (2007–2013) across all five sub-tropical gyres, costal Australia, Bay of Bengal and the Mediterranean Sea. Using an oceanographic model of floating debris dispersal, he estimated a minimum of 5.25 trillion particles weighing 268,940 tons.
In a paper on the New Plastics Economy [2] the Ellen McArthur Foundation, working with the McKinsey Center for Business and Environment, noted that the best research currently available estimates that there are over 150 million tons of plastics in the ocean today. In a business-as-usual scenario, the ocean is expected to contain 1 ton of plastic for every 3 tons of fish by 2025, and by 2050, more plastics than fish (by weight). This is dramatic, but estimates vary and the need for quantitative measurements cannot be understated. For example, the distribution of microplastics on the surface was less than expected by Eriksen. and there are still questions on the dynamics of plastic transformations and depth profiles that need further study.
Why are we concerned about plastics if they are small pieces of inert matter? Plastics have been found in the guts of marine mega fauna and humans and in the tissues of fish. The smallest components that are still plastic (nanoplastics) have become integrated at the cellular level in some organisms. Plastics are not inert and can be a breeding platform for bacteria. Plastics can transport harmful organisms that will have deleterious effects when they are ingested by fish and marine mammals. The extents of this and other issues is not well quantified.

What can be done to quantify the amount of plastics in the ocean? There are many challenges here also. There are several scales to the size of plastics pieces in the ocean form whole fishing nets and contents of lost cargo container content to nanoparticles. The impact of plastics varies according to their size and chemical characteristics. Larger pieces (macroplastics) are 5 mm or more in dimension. Microplastics are plastic fragments or particles that are less than 5.0 mm in size. In [3], nanoplastics have been defined as particles unintentionally produced (i.e. from degradation and the manufacturing of the plastic objects) and presenting a colloidal behavior, within the size range from 1 to 1000 nm. In the monitoring of plastics, very different techniques are required to understand the dynamics of different sizes of plastics in the rivers and oceans. However, it has been noted that most of the plastic pollution in the ocean can be originating from river flows, with the ten top-ranked rivers accounting for roughly 90% of the global load being located in Asia and Africa [14]. For further debris, the river assessments are essential, but there are analyses such as those referenced above, which implore us to address both the current ocean inputs and the existing pool of plastic debris across the oceans. This may require different techniques depending on the size and type of the plastic fragments.
How can we routinely monitor ocean plastics? There are alternative approaches that include remote sensing (from space, airborne and ground based systems) and in situ observations. There are generally many challenges for the space-based remote sensing of plastic pollution in the coastal and marine environment. First, the size of plastic, generally sub-meter size is difficult to image from existing space platforms, which typically have resolutions from 5 meters up to 1 km depending on the system. In addition, fragmentation and decomposition reduces the plastic size over time, and thus reduces the possibility of detection. Airborne systems offer higher spatial resolution, but have limited temporal and spatial coverage. Ground-based systems such as HF radar can monitor coastal surface currents that transport plastics, but will not see small plastic debris. Thus, we need to be able to synthesize results from many data acquisitions from multi sources to improve the spatial and temporal resolutions and then use larger scale, coupled models of surface current circulation (with a 10m depth extent). A critical part of modeling is to have validated data whose collection methods and uncertainties are well understood. This includes adequate description of the data through metadata. It also needs methods documentation that is readily accessible through a global repository such as the Ocean Best Practices System [4].

“Plastic Oceans Social Awareness Campaign” by Vickie de Laplante is licensed under CC BY-ND 4.0
There may also be “indicators” linked to the plastic presence which may be useful similar to the way oil pollution in the ocean is observed by radar due to its calming effect on ocean surface waves. Indeed, large-scale remote sensing instruments are not able to directly detect the plastic(s) per se and so the indicators need to be defined and tested. This comes not only from the scale size of the plastics vs. the resolution of satellite systems, but the limited ability of high spectral resolution systems (optical, radar or hyperspectral sensors) to differentiate water covered plastic from the surrounding water. Thus, additional inputs are necessary. For example, in situ observation sensors could be developed with an emphasis on having them on-board ships, and then comparing this real-time monitoring of measurements with a global satellite system. When using ships and considering surface macroplastic debris, optical monitoring may be a complementary step to space and airborne observations. This is still limited in that the ships travel defined routes between major commercial ports and thus global coverage is not complete.
In order to fully explore the existing observation means for the detection, monitoring and quantifying of ocean plastics, a comprehensive strategy is need. This strategy should be aligned to the Sustainable Development Goal (SDG) 14 “Life Below Water,” which has the Target 14.1 “By 2025, prevent and significantly reduce marine pollution of all kinds, in particular from land-based activities, including marine debris and nutrient pollution” and the associated Indicator 14.1.1 “Index of coastal eutrophication (ICEP) and floating plastic debris density.”
IEEE OES has initiated a program in which we propose to develop a set of objectives for assessing the means of observation and the methods of detection, according to indicators to define. This will need the organization of seminars and workshops for a working group led by OES in collaboration with the UN Environment and the GEO (Group on Earth Observation) initiative “Blue Planet”. At the OES level, this activity will be developed by the associated Technology Committees, mainly “Ocean Observation Systems and Environmental Sustainability” and “Ocean Remote Sensing”. It is already proposed as a topic for our OCEANS flagship conference and it will be the basis for a potential growth in our members.
The major outcome of this initiative will consist of aggregating all the potential partners and stakeholders in order to propose projects at the international level. Considering the amount of plastic already present, the immediate need is to explore downstream solutions for assessing the sources and presence of plastics, as well as to detect plastics in the ocean through a range of observation means (underwater, satellite-borne, in situ, … sensors). Another objective is to perform quantitative as well as qualitative measurements, and to track the circulation of plastics in the ocean and at the coastal level. But for achieving these objectives, we need to understand how the decisions are taken that refer to scientific findings and take on the concerns of civil society.
In order to achieve these objectives, we have started to develop, as a preliminary step, a roadmap with milestones at 6 months (paper at OCEANS 2019 Marseille) and 2 years for a set of goals after 5 years. We will also be part of a town hall session on this topic at the fall conference OCEANS 2019 Seattle.
We invite all interested members to contact us:
r.garello@ieee.org
hpplag@mari-odu.org
jay.pearlman@ieee.org
References
[1] Eriksen M, Lebreton LCM, Carson HS, Thiel M, Moore CJ, Borerro JC, et al. (2014) Plastic Pollution in the World’s Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at Sea. PLoS ONE 9(12): e111913. https://doi.org/10.1371/journal.pone.0111913
[2] https://www.ellenmacarthurfoundation.org/assets/downloads/EllenMacArthurFoundation_TheNewPlasticsEconomy_Pages.pdf
[3] Gigault, J., et al. (2018). “Current opinion: What is a nanoplastic?” Environmental Pollution (published January 19, 2018).
[4] Jay Pearlman1*, Mark Bushnell2, Laurent Coppola3, Johannes Karstensen4, Pier Luigi Buttigieg5, Francoise Pearlman1, et al, (2019), Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade, Frontiers in Marine Science, accepted for publication.


Dr. James V. Candy is the Chief Scientist for Engineering and former Director of the Center for Advanced Signal & Image Sciences at the University of California, Lawrence Livermore National Laboratory. Dr. Candy received a commission in the USAF in 1967 and was a Systems Engineer/Test Director from 1967 to 1971. He has been a Researcher at the Lawrence Livermore National Laboratory since 1976 holding various positions including that of Project Engineer for Signal Processing and Thrust Area Leader for Signal and Control Engineering. Educationally, he received his B.S.E.E. degree from the University of Cincinnati and his M.S.E. and Ph.D. degrees in Electrical Engineering from the University of Florida, Gainesville. He is a registered Control System Engineer in the state of California. He has been an Adjunct Professor at San Francisco State University, University of Santa Clara, and UC Berkeley, Extension teaching graduate courses in signal and image processing. He is an Adjunct Full-Professor at the University of California, Santa Barbara. Dr. Candy is a Fellow of the IEEE and a Fellow of the Acoustical Society of America (ASA) and elected as a Life Member (Fellow) at the University of Cambridge (Clare Hall College). He is a member of Eta Kappa Nu and Phi Kappa Phi honorary societies. He was elected as a Distinguished Alumnus by the University of Cincinnati. Dr. Candy received the IEEE Distinguished Technical Achievement Award for the “development of model-based signal processing in ocean acoustics.” Dr. Candy was selected as a IEEE Distinguished Lecturer for oceanic signal processing as well as presenting an IEEE tutorial on advanced signal processing available through their video website courses. He was nominated for the prestigious Edward Teller Fellowship at Lawrence Livermore National Laboratory. Dr. Candy was awarded the Interdisciplinary Helmholtz-Rayleigh Silver Medal in Signal Processing/Underwater Acoustics by the Acoustical Society of America for his technical contributions. He has published over 225 journal articles, book chapters, and technical reports as well as written three texts in signal processing, “Signal Processing: the Model-Based Approach,” (McGraw-Hill, 1986), “Signal Processing: the Modern Approach,” (McGraw-Hill, 1988), “Model-Based Signal Processing,” (Wiley/IEEE Press, 2006) and “Bayesian Signal Processing: Classical, Modern and Particle Filtering” (Wiley/IEEE Press, 2009). He was the General Chairman of the inaugural 2006 IEEE Nonlinear Statistical Signal Processing Workshop held at the Corpus Christi College, University of Cambridge. He has presented a variety of short courses and tutorials sponsored by the IEEE and ASA in Applied Signal Processing, Spectral Estimation, Advanced Digital Signal Processing, Applied Model-Based Signal Processing, Applied Acoustical Signal Processing, Model-Based Ocean Acoustic Signal Processing and Bayesian Signal Processing for IEEE Oceanic Engineering Society/ASA. He has also presented short courses in Applied Model-Based Signal Processing for the SPIE Optical Society. He is currently the IEEE Chair of the Technical Committee on “Sonar Signal and Image Processing” and was the Chair of the ASA Technical Committee on “Signal Processing in Acoustics” as well as being an Associate Editor for Signal Processing of ASA (on-line JASAXL). He was recently nominated for the Vice Presidency of the ASA and elected as a member of the Administrative Committee of IEEE OES. His research interests include Bayesian estimation, identification, spatial estimation, signal and image processing, array signal processing, nonlinear signal processing, tomography, sonar/radar processing and biomedical applications.
Kenneth Foote is a Senior Scientist at the Woods Hole Oceanographic Institution. He received a B.S. in Electrical Engineering from The George Washington University in 1968, and a Ph.D. in Physics from Brown University in 1973. He was an engineer at Raytheon Company, 1968-1974; postdoctoral scholar at Loughborough University of Technology, 1974-1975; research fellow and substitute lecturer at the University of Bergen, 1975-1981. He began working at the Institute of Marine Research, Bergen, in 1979; joined the Woods Hole Oceanographic Institution in 1999. His general area of expertise is in underwater sound scattering, with applications to the quantification of fish, other aquatic organisms, and physical scatterers in the water column and on the seafloor. In developing and transitioning acoustic methods and instruments to operations at sea, he has worked from 77°N to 55°S.
René Garello, professor at Télécom Bretagne, Fellow IEEE, co-leader of the TOMS (Traitements, Observations et Méthodes Statistiques) research team, in Pôle CID of the UMR CNRS 3192 Lab-STICC.
Professor Mal Heron is Adjunct Professor in the Marine Geophysical Laboratory at James Cook University in Townsville, Australia, and is CEO of Portmap Remote Ocean Sensing Pty Ltd. His PhD work in Auckland, New Zealand, was on radio-wave probing of the ionosphere, and that is reflected in his early ionospheric papers. He changed research fields to the scattering of HF radio waves from the ocean surface during the 1980s. Through the 1990s his research has broadened into oceanographic phenomena which can be studied by remote sensing, including HF radar and salinity mapping from airborne microwave radiometers . Throughout, there have been one-off papers where he has been involved in solving a problem in a cognate area like medical physics, and paleobiogeography. Occasionally, he has diverted into side-tracks like a burst of papers on the effect of bushfires on radio communications. His present project of the Australian Coastal Ocean Radar Network (ACORN) is about the development of new processing methods and applications of HF radar data to address oceanography problems. He is currently promoting the use of high resolution VHF ocean radars, based on the PortMap high resolution radar.
Hanu Singh graduated B.S. ECE and Computer Science (1989) from George Mason University and Ph.D. (1995) from MIT/Woods Hole.He led the development and commercialization of the Seabed AUV, nine of which are in operation at other universities and government laboratories around the world. He was technical lead for development and operations for Polar AUVs (Jaguar and Puma) and towed vehicles(Camper and Seasled), and the development and commercialization of the Jetyak ASVs, 18 of which are currently in use. He was involved in the development of UAS for polar and oceanographic applications, and high resolution multi-sensor acoustic and optical mapping with underwater vehicles on over 55 oceanographic cruises in support of physical oceanography, marine archaeology, biology, fisheries, coral reef studies, geology and geophysics and sea-ice studies. He is an accomplished Research Student advisor and has made strong collaborations across the US (including at MIT, SIO, Stanford, Columbia LDEO) and internationally including in the UK, Australia, Canada, Korea, Taiwan, China, Japan, India, Sweden and Norway. Hanu Singh is currently Chair of the IEEE Ocean Engineering Technology Committee on Autonomous Marine Systems with responsibilities that include organizing the biennial IEEE AUV Conference, 2008 onwards. Associate Editor, IEEE Journal of Oceanic Engineering, 2007-2011. Associate editor, Journal of Field Robotics 2012 onwards.
Milica Stojanovic graduated from the University of Belgrade, Serbia, in 1988, and received the M.S. and Ph.D. degrees in electrical engineering from Northeastern University in Boston, in 1991 and 1993. She was a Principal Scientist at the Massachusetts Institute of Technology, and in 2008 joined Northeastern University, where she is currently a Professor of electrical and computer engineering. She is also a Guest Investigator at the Woods Hole Oceanographic Institution. Milica’s research interests include digital communications theory, statistical signal processing and wireless networks, and their applications to underwater acoustic systems. She has made pioneering contributions to underwater acoustic communications, and her work has been widely cited. She is a Fellow of the IEEE, and serves as an Associate Editor for its Journal of Oceanic Engineering (and in the past for Transactions on Signal Processing and Transactions on Vehicular Technology). She also serves on the Advisory Board of the IEEE Communication Letters, and chairs the IEEE Ocean Engineering Society’s Technical Committee for Underwater Communication, Navigation and Positioning. Milica is the recipient of the 2015 IEEE/OES Distinguished Technical Achievement Award.
Dr. Paul C. Hines was born and raised in Glace Bay, Cape Breton. From 1977-1981 he attended Dalhousie University, Halifax, Nova Scotia, graduating with a B.Sc. (Hon) in Engineering-Physics.