Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis
Marine plastic debris (MPD) is a globally relevant environmental challenge, with an estimated 8 million tons of synthetic debris entering the marine environment each year. Plastic has been found in all parts of the marine environment, including the surface layers of the ocean, within the water colum...
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MDPI AG
2021
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oai:doaj.org-article:08135ce02e604437a890a37813bd74252021-11-25T18:54:09ZQuantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis10.3390/rs132245482072-4292https://doaj.org/article/08135ce02e604437a890a37813bd74252021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4548https://doaj.org/toc/2072-4292Marine plastic debris (MPD) is a globally relevant environmental challenge, with an estimated 8 million tons of synthetic debris entering the marine environment each year. Plastic has been found in all parts of the marine environment, including the surface layers of the ocean, within the water column, in coastal waters, on the benthic layer and on beaches. While research on detecting MPD using remote sensing is increasing, most of it focuses on detecting floating debris in open waters, rather than detecting MPD on beaches. However, beaches present challenges that are unique from other parts of the marine environment. In order to better understand the spectral properties of beached MPD, we present the SWIR reflectance of weathered MPD and virgin plastics over a sandy substrate. We conducted spectral feature analysis on the different plastic groups to better understand the impact that polymers have on our ability to detect synthetic debris at sub-pixel surface covers that occur on beaches. Our results show that the minimum surface cover required to detect MPD on a sandy surface varies between 2–8% for different polymer types. Furthermore, plastic composition affects the magnitude of spectral absorption. This suggests that variation in both surface cover and polymer type will inform the efficacy of beach litter detection methods.Jenna A. GuffoggSamantha M. BladesMariela Soto-BerelovChris J. BellmanAndrew K. SkidmoreSimon D. JonesMDPI AGarticleplastic pollutionbeachproximal remote sensingspectral analysisshortwave infraredspectroscopyScienceQENRemote Sensing, Vol 13, Iss 4548, p 4548 (2021) |
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plastic pollution beach proximal remote sensing spectral analysis shortwave infrared spectroscopy Science Q |
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plastic pollution beach proximal remote sensing spectral analysis shortwave infrared spectroscopy Science Q Jenna A. Guffogg Samantha M. Blades Mariela Soto-Berelov Chris J. Bellman Andrew K. Skidmore Simon D. Jones Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
description |
Marine plastic debris (MPD) is a globally relevant environmental challenge, with an estimated 8 million tons of synthetic debris entering the marine environment each year. Plastic has been found in all parts of the marine environment, including the surface layers of the ocean, within the water column, in coastal waters, on the benthic layer and on beaches. While research on detecting MPD using remote sensing is increasing, most of it focuses on detecting floating debris in open waters, rather than detecting MPD on beaches. However, beaches present challenges that are unique from other parts of the marine environment. In order to better understand the spectral properties of beached MPD, we present the SWIR reflectance of weathered MPD and virgin plastics over a sandy substrate. We conducted spectral feature analysis on the different plastic groups to better understand the impact that polymers have on our ability to detect synthetic debris at sub-pixel surface covers that occur on beaches. Our results show that the minimum surface cover required to detect MPD on a sandy surface varies between 2–8% for different polymer types. Furthermore, plastic composition affects the magnitude of spectral absorption. This suggests that variation in both surface cover and polymer type will inform the efficacy of beach litter detection methods. |
format |
article |
author |
Jenna A. Guffogg Samantha M. Blades Mariela Soto-Berelov Chris J. Bellman Andrew K. Skidmore Simon D. Jones |
author_facet |
Jenna A. Guffogg Samantha M. Blades Mariela Soto-Berelov Chris J. Bellman Andrew K. Skidmore Simon D. Jones |
author_sort |
Jenna A. Guffogg |
title |
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
title_short |
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
title_full |
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
title_fullStr |
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
title_full_unstemmed |
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis |
title_sort |
quantifying marine plastic debris in a beach environment using spectral analysis |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/08135ce02e604437a890a37813bd7425 |
work_keys_str_mv |
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