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Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment

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TLDR
In this paper, the hyperspectral reflectances of virgin and naturally weathered polyethylene terephthalate (PET) submerged in water at varying suspended sediment concentrations and depth were studied.
Abstract
While at least 8 million tons of plastic litter are ending up in our oceans every year and research on marine litter detection is increasing, the spectral properties of wet as well as submerged plastics in natural marine environments are still largely unknown. Scientific evidence-based knowledge about these spectral characteristics has relevance especially to the research and development of future remote sensing technologies for plastic litter detection. In an effort to bridge this gap, we present one of the first studies about the hyperspectral reflectances of virgin and naturally weathered plastics submerged in water at varying suspended sediment concentrations and depth. We also conducted further analyses on the different polymer types such as Polyethylene terephthalate (PET), Polypropylene (PP), Polyester (PEST) and Low-density polyethylene (PE-LD) to better understand the effect of water absorption on their spectral reflectance. Results show the importance of using spectral wavebands in both the visible and shortwave infrared (SWIR) spectrum for litter detection, especially when plastics are wet or slightly submerged which is often the case in natural aquatic environments. Finally, we demonstrate in an example how to use the open access data set driven from this research as a reference for the development of marine litter detection algorithms.

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Journal ArticleDOI

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

TL;DR: An open-access dataset which enables the research community to explore the spectral behaviour of certain floating materials, sea state features and water types, to develop and evaluate Marine Debris detection solutions based on artificial intelligence and deep learning architectures, as well as satellite pre-processing pipelines.
Journal ArticleDOI

Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery

TL;DR: In this article, a double camera setup covered the VIS-SWIR range from 400 to 1700 nm in a darkroom experiment with controlled illumination, and the cameras scanned the samples floating in water and captured high-resolution images in 336 spectral bands.
Journal ArticleDOI

Operational use of multispectral images for macro-litter mapping and categorization by Unmanned Aerial Vehicle.

TL;DR: In this paper , the use of multispectral images (5 bands) to classify litter type and material on a beach-dune system was used for marine litter surveys.
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Marine plastic litter detection offshore Hawai'i by Sentinel-2.

TL;DR: In this paper, a detection method of plastic litter for Sentinel-2 data resampled at 20m resolution based on the analysis of the red edge bands was proposed, which indicated these patches largely consist of plastic debris.
Journal ArticleDOI

Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models.

TL;DR: In this article , the authors explored the full functionality of open Sentinel satellite data and ML models for detecting and classifying the MFP in Mytilene (Greece), Limassol (Cyprus), Skala Loutron, Greece, Calabria (Italy), and Beirut (Lebanon).
References
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Journal ArticleDOI

Plastic waste inputs from land into the ocean

TL;DR: This work combines available data on solid waste with a model that uses population density and economic status to estimate the amount of land-based plastic waste entering the ocean, which is estimated to be 275 million metric tons.
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Re-epithelialization and immune cell behaviour in an ex vivo human skin model.

TL;DR: A novel wound model based on application of negative pressure and its effects for epidermal regeneration and immune cell behaviour is presented, which recapitulates the main features of epithelial wound regeneration, and can be applied for testing wound healing therapies and investigating underlying mechanisms.
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Microplastic pollution in deep-sea sediments

TL;DR: It is shown for the first time ever, that microplastics have indeed reached the most remote of marine environments: the deep sea, and microplastic pollution has spread throughout the world's seas and oceans.
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Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic

TL;DR: A major ocean plastic accumulation zone formed in subtropical waters between California and Hawaii: The Great Pacific Garbage Patch is characterised and quantified, suggesting that ocean plastic pollution within the GPGP is increasing exponentially and at a faster rate than in surrounding waters.
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Refractive indices of water and ice in the 0.65- to 2.5-µm spectral range.

TL;DR: The imaginary part of refractive index of supercooled water shows a systematic shift of absorption peaks toward the longer wavelengths compared with that of water at warmer temperatures.
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