Concept for a hyperspectral remote sensing algorithm for floating marine macro plastics

Goddijn-Murphy, Lonneke; Peters, Steef; Sebille, Erik van; James, Neil; Gibb, Stuart W.

doi:10.1016/j.marpolbul.2017.11.011

Cited by 81 publications

(65 citation statements)

References 30 publications

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“…The reflectance from water captured by sensors is different from that of floating plastic objects. There are several reasons for this, (1) the physical properties of water are different from that of plastic, and they have significant distinct reflectance; (2) the transmitting ability of light through water is different from that through plastic; (3) the absorption of light by water is different from plastic [87]. Figure 13 shows different pathways of incident light after interacting with the surface (with and without marine plastic).…”

Section: Marine Plastic and Coastal Littermentioning

confidence: 99%

“…Figure 13 shows different pathways of incident light after interacting with the surface (with and without marine plastic). Some studies have used hyperspectral remote sensing to study marine macroplastics [87] and microplastics [88]. Goddijn-Murphy et al [87] considered the spectral signatures and geometric optics of plastic and seawater to develop a reflectance model for detecting macroplastics.…”

Section: Marine Plastic and Coastal Littermentioning

confidence: 99%

“…L d is total downwelling radiance (solar beam + diffuse skylight), L ds is subsurface downwelling radiance, L ws is subsurface upwelling radiance, L wr is radiance reflected directly off the water surface, L wt is subsurface upwelling radiance transmitted through the water-air interface, L pr is radiance reflected off the plastic, and L pt is subsurface upwelling radiance transmitted through the plastic. L w is total water-leaving radiance, L wr + L wt , and L p is total plastic leaving radiance, L pt + L pr ; subscript '0' indicates all the variables in the absence of plastic and FOV is a field of view [87]. Detecting coastal litter near land surface is easier than in open ocean, as its reflectance and shape characteristics are not affected by its pitching and rolling on ocean waves.…”

Section: Figure 13mentioning

confidence: 99%

See 2 more Smart Citations

Detection and Monitoring of Marine Pollution Using Remote Sensing Technologies

Hafeez¹,

Wong²,

Abbas³

et al. 2019

Monitoring of Marine Pollution

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Recently, the marine habitat has been under pollution threat, which impacts many human activities as well as human life. Increasing concerns about pollution levels in the oceans and coastal regions have led to multiple approaches for measuring and mitigating marine pollution, in order to achieve sustainable marine water quality. Satellite remote sensing, covering large and remote areas, is considered useful for detecting and monitoring marine pollution. Recent developments in sensor technologies have transformed remote sensing into an effective means of monitoring marine areas. Different remote sensing platforms and sensors have their own capabilities for mapping and monitoring water pollution of different types, characteristics, and concentrations. This chapter will discuss and elaborate the merits and limitations of these remote sensing techniques for mapping oil pollutants, suspended solid concentrations, algal blooms, and floating plastic waste in marine waters.

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Section: Marine Plastic and Coastal Littermentioning

confidence: 99%

Section: Marine Plastic and Coastal Littermentioning

confidence: 99%

Section: Figure 13mentioning

confidence: 99%

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Detection and Monitoring of Marine Pollution Using Remote Sensing Technologies

Hafeez¹,

Wong²,

Abbas³

et al. 2019

Monitoring of Marine Pollution

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“…The detection of plastics can be improved using cameras extended beyond the visible band 37,[45][46][47][48] . Recently, several researchers have studied the application of near-infrared hyperspectral cameras to identify plastics in the environment [45][46][47][48] . If hyperspectral imaging is available in rivers, macro-plastics can be distinguished from the macro-debris flowing on the river surface.…”

Section: Discussionmentioning

confidence: 99%

Quantification of floating riverine macro-debris transport using an image processing approach

Kataoka

Nihei

2020

Sci Rep

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A new algorithm has been developed to quantify floating macro-debris transport on river surfaces that consists of three fundamental techniques: (1) generating a difference image of the colour difference between the debris and surrounding water in the CIELuv colour space, (2) detecting the debris pixels from the difference image, and (3) calculating the debris area flux via the template matching method. Debris pixels were accurately detected from the images taken of the laboratory channel and river water surfaces and were consistent with those detected by visual observation. The area fluxes were statistically significantly correlated with the mass fluxes measured through debris collection. The mass fluxes calculated by multiplying the area fluxes with the debris mass per unit area (M/A) were significantly related to the flood rising stage flow rates and agreed with the mass fluxes measured through debris collection. In our algorithm, plastic mass fluxes can be estimated via calibration using the mass percentage of plastics to the total debris in target rivers. Quantifying riverine macro-plastic transport is essential to formulating countermeasures, mitigating adverse plastic pollution impacts and understanding global-scale riverine macro-plastic transport. Quantifying the transport of macro-debris floating on the world's rivers, which are major sources of ocean debris, is essential in formulating countermeasures to mitigate the adverse impacts of land-based loads. In particular, the adverse impacts on aquatic ecosystems of plastics containing toxic chemicals (e.g., persistent organic pollutants (POPs)) 1-4 are recognized as a serious concern in the global aquatic environment 5-8. Many of the plastics in the oceans originate from land 9 , and thereafter, macro-plastics (>25 mm in diameter) 10 are evenly broken down into smaller plastic fragments known as meso-(5−25 mm in diameter) and micro-plastics (<5 mm in diameter) 10 due to photo-and thermo-oxidative degradation 6. Micro-plastics are rarely removed from the aquatic environment when released and are thus gradually transported far away due to ocean currents. Hence, to formulate countermeasures against oceanic plastic pollution, the macro-plastics in rivers must be efficiently captured before being fragmented into smaller pieces and/or being released to the oceans. In particular, because most macro-plastics float on the surface, it is important to understand how floating macro-debris is transported via rivers and then released into the oceans. Recently, a few studies have attempted to estimate the plastic waste emissions from land 9,11. Jambeck et al. 9 , for instance, estimated that 4.8 to 12.7 million tonnes of mismanaged plastic waste could be entering the oceans from 192 coastal countries in 2010 by considering the waste management level in each country and the coastal population. In their estimate, 0.02 to 0.06 million MT of plastic waste can enter the Pacific Ocean from Japan. Moreover, Lebreton et al. 11 estimated that between 1.15 and 2.41 million tonnes ...

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“…For example, one could track the pathway of larvae into and out of an MPA using particle tracking methods and subsequently predict relative ecosystem service benefits of the larvae at each point along the flow. Cutting edge approaches for tracking flows across space are newly becoming available and can open up new opportunities to make such determinations, including passive acoustic monitoring for marine mammals [94], hyperspectral remote sensing for detecting plastic concentrations over oceans [95], and satellite tracking of ships via technologies like SkyTruth [19]. This type of approach could identify potentially surprising spatial mismatches as was seen in the case of the Mexican free-tailed bat, such as by recognizing that an MPA that is funded to protect green sea turtles for example may be transferring services to other distant areas but not receiving compensatory support for conservation from the distant stakeholders.…”

Section: Telecoupling Decision Support Toolsmentioning

confidence: 99%

A Synthesis of Opportunities for Applying the Telecoupling Framework to Marine Protected Areas

2019

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The world’s oceans face unprecedented anthropogenic threats in the globalized era that originate from all over the world, including climate change, global trade and transportation, and pollution. Marine protected areas (MPAs) serve important roles in conservation of marine biodiversity and ecosystem resilience, but their success is increasingly challenged in the face of such large-scale threats. Here, we illustrate the utility of adopting the interdisciplinary telecoupling framework to better understand effects that originate from distant places and cross MPA boundaries (e.g., polluted water circulation, anthropogenic noise transport, human and animal migration). We review evidence of distal processes affecting MPAs and the cutting-edge approaches currently used to investigate these processes. We then introduce the umbrella framework of telecoupling and explain how it can help address knowledge gaps that exist due to limitations of past approaches that are centered within individual disciplines. We then synthesize five examples from the recent telecoupling literature to explore how the telecoupling framework can be used for MPA research. These examples include the spatial subsidies approach, adapted social network analysis, telecoupled qualitative analysis, telecoupled supply chain analysis, and decision support tools for telecoupling. Our work highlights the potential for the telecoupling framework to better understand and address the mounting and interconnected socioeconomic and environmental sustainability challenges faced by the growing number of MPAs around the world.

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Concept for a hyperspectral remote sensing algorithm for floating marine macro plastics

Cited by 81 publications

References 30 publications

Detection and Monitoring of Marine Pollution Using Remote Sensing Technologies

Detection and Monitoring of Marine Pollution Using Remote Sensing Technologies

Quantification of floating riverine macro-debris transport using an image processing approach

A Synthesis of Opportunities for Applying the Telecoupling Framework to Marine Protected Areas

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