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

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 know...

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Autores principales: Mehrdad Moshtaghi, Els Knaeps, Sindy Sterckx, Shungudzemwoyo Garaba, Dieter Meire
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e27e0ccfc26e4281bf49a54e68dca650
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spelling oai:doaj.org-article:e27e0ccfc26e4281bf49a54e68dca6502021-12-02T15:54:06ZSpectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment10.1038/s41598-021-84867-62045-2322https://doaj.org/article/e27e0ccfc26e4281bf49a54e68dca6502021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84867-6https://doaj.org/toc/2045-2322Abstract 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.Mehrdad MoshtaghiEls KnaepsSindy SterckxShungudzemwoyo GarabaDieter MeireNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mehrdad Moshtaghi
Els Knaeps
Sindy Sterckx
Shungudzemwoyo Garaba
Dieter Meire
Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
description 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.
format article
author Mehrdad Moshtaghi
Els Knaeps
Sindy Sterckx
Shungudzemwoyo Garaba
Dieter Meire
author_facet Mehrdad Moshtaghi
Els Knaeps
Sindy Sterckx
Shungudzemwoyo Garaba
Dieter Meire
author_sort Mehrdad Moshtaghi
title Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
title_short Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
title_full Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
title_fullStr Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
title_full_unstemmed Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
title_sort spectral reflectance of marine macroplastics in the vnir and swir measured in a controlled environment
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e27e0ccfc26e4281bf49a54e68dca650
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AT sindysterckx spectralreflectanceofmarinemacroplasticsinthevnirandswirmeasuredinacontrolledenvironment
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