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Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment
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 abo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940656/ https://www.ncbi.nlm.nih.gov/pubmed/33686150 http://dx.doi.org/10.1038/s41598-021-84867-6 |
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author | Moshtaghi, Mehrdad Knaeps, Els Sterckx, Sindy Garaba, Shungudzemwoyo Meire, Dieter |
author_facet | Moshtaghi, Mehrdad Knaeps, Els Sterckx, Sindy Garaba, Shungudzemwoyo Meire, Dieter |
author_sort | Moshtaghi, Mehrdad |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7940656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79406562021-03-10 Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment Moshtaghi, Mehrdad Knaeps, Els Sterckx, Sindy Garaba, Shungudzemwoyo Meire, Dieter Sci Rep Article 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. Nature Publishing Group UK 2021-03-08 /pmc/articles/PMC7940656/ /pubmed/33686150 http://dx.doi.org/10.1038/s41598-021-84867-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moshtaghi, Mehrdad Knaeps, Els Sterckx, Sindy Garaba, Shungudzemwoyo Meire, Dieter Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940656/ https://www.ncbi.nlm.nih.gov/pubmed/33686150 http://dx.doi.org/10.1038/s41598-021-84867-6 |
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