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Finding Plastic Patches in Coastal Waters using Optical Satellite Data
Satellites collecting optical data offer a unique perspective from which to observe the problem of plastic litter in the marine environment, but few studies have successfully demonstrated their use for this purpose. For the first time, we show that patches of floating macroplastics are detectable in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181820/ https://www.ncbi.nlm.nih.gov/pubmed/32327674 http://dx.doi.org/10.1038/s41598-020-62298-z |
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author | Biermann, Lauren Clewley, Daniel Martinez-Vicente, Victor Topouzelis, Konstantinos |
author_facet | Biermann, Lauren Clewley, Daniel Martinez-Vicente, Victor Topouzelis, Konstantinos |
author_sort | Biermann, Lauren |
collection | PubMed |
description | Satellites collecting optical data offer a unique perspective from which to observe the problem of plastic litter in the marine environment, but few studies have successfully demonstrated their use for this purpose. For the first time, we show that patches of floating macroplastics are detectable in optical data acquired by the European Space Agency (ESA) Sentinel-2 satellites and, furthermore, are distinguishable from naturally occurring materials such as seaweed. We present case studies from four countries where suspected macroplastics were detected in Sentinel-2 Earth Observation data. Patches of materials on the ocean surface were highlighted using a novel Floating Debris Index (FDI) developed for the Sentinel-2 Multi-Spectral Instrument (MSI). In all cases, floating aggregations were detectable on sub-pixel scales, and appeared to be composed of a mix of seaweed, sea foam, and macroplastics. Building first steps toward a future monitoring system, we leveraged spectral shape to identify macroplastics, and a Naïve Bayes algorithm to classify mixed materials. Suspected plastics were successfully classified as plastics with an accuracy of 86%. |
format | Online Article Text |
id | pubmed-7181820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71818202020-04-29 Finding Plastic Patches in Coastal Waters using Optical Satellite Data Biermann, Lauren Clewley, Daniel Martinez-Vicente, Victor Topouzelis, Konstantinos Sci Rep Article Satellites collecting optical data offer a unique perspective from which to observe the problem of plastic litter in the marine environment, but few studies have successfully demonstrated their use for this purpose. For the first time, we show that patches of floating macroplastics are detectable in optical data acquired by the European Space Agency (ESA) Sentinel-2 satellites and, furthermore, are distinguishable from naturally occurring materials such as seaweed. We present case studies from four countries where suspected macroplastics were detected in Sentinel-2 Earth Observation data. Patches of materials on the ocean surface were highlighted using a novel Floating Debris Index (FDI) developed for the Sentinel-2 Multi-Spectral Instrument (MSI). In all cases, floating aggregations were detectable on sub-pixel scales, and appeared to be composed of a mix of seaweed, sea foam, and macroplastics. Building first steps toward a future monitoring system, we leveraged spectral shape to identify macroplastics, and a Naïve Bayes algorithm to classify mixed materials. Suspected plastics were successfully classified as plastics with an accuracy of 86%. Nature Publishing Group UK 2020-04-23 /pmc/articles/PMC7181820/ /pubmed/32327674 http://dx.doi.org/10.1038/s41598-020-62298-z Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Biermann, Lauren Clewley, Daniel Martinez-Vicente, Victor Topouzelis, Konstantinos Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title | Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title_full | Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title_fullStr | Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title_full_unstemmed | Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title_short | Finding Plastic Patches in Coastal Waters using Optical Satellite Data |
title_sort | finding plastic patches in coastal waters using optical satellite data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181820/ https://www.ncbi.nlm.nih.gov/pubmed/32327674 http://dx.doi.org/10.1038/s41598-020-62298-z |
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