Detecting microplastics pollution in world oceans using SAR remote sensing
Plastic pollution in world oceans is estimated to have reached 270.000 tones, or 5.25 trillion pieces. This plastic is now ubiquitous, however due to ocean circulation patterns, it accumulates in the ocean gyres, creating garbage patches. This plastic debris is colonized by microorganisms which can...
Published in: | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
---|---|
Main Authors: | , , , , , , |
Format: | Conference Object |
Language: | English |
Published: |
IEEE
2018
|
Subjects: | |
Online Access: | https://elib.dlr.de/127426/ https://elib.dlr.de/127426/1/08517281.pdf https://ieeexplore.ieee.org/document/8517281 |
id |
ftdlr:oai:elib.dlr.de:127426 |
---|---|
record_format |
openpolar |
spelling |
ftdlr:oai:elib.dlr.de:127426 2024-05-19T07:45:19+00:00 Detecting microplastics pollution in world oceans using SAR remote sensing Davaasuren, Narangerel Marino, Armando Boardman, Carl Alparone, Matteo Nunziata, Ferdinando Ackermann, Nicolas Hajnsek, Irena 2018 application/pdf https://elib.dlr.de/127426/ https://elib.dlr.de/127426/1/08517281.pdf https://ieeexplore.ieee.org/document/8517281 en eng IEEE https://elib.dlr.de/127426/1/08517281.pdf Davaasuren, Narangerel und Marino, Armando und Boardman, Carl und Alparone, Matteo und Nunziata, Ferdinando und Ackermann, Nicolas und Hajnsek, Irena (2018) Detecting microplastics pollution in world oceans using SAR remote sensing. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 938-941. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spain. doi:10.1109/IGARSS.2018.8517281 <https://doi.org/10.1109/IGARSS.2018.8517281>. ISBN 978-1-5386-7150-4. ISSN 2153-7003. Radarkonzepte Konferenzbeitrag PeerReviewed 2018 ftdlr https://doi.org/10.1109/IGARSS.2018.8517281 2024-04-25T00:50:07Z Plastic pollution in world oceans is estimated to have reached 270.000 tones, or 5.25 trillion pieces. This plastic is now ubiquitous, however due to ocean circulation patterns, it accumulates in the ocean gyres, creating garbage patches. This plastic debris is colonized by microorganisms which can create unique surfactants and bio-film ecosystems. Microbial colonization is the first step towards disintegration and degradation of plastic materials: a process that releases metabolic by-products from energy synthesis. These byproducts include the release of short-chain and more complex carbon molecules in the form of surfactants, which we hypothesize will affect the fluid dynamic properties of waves (change in viscosity and surface tension) and make them detectable by the SAR sensor. In this study we used Sentinel-1A and COSMO-SkyMed SAR images in selected sites of the North Pacific and North Atlantic oceans, close to the ocean gyres and away from the coastal interference. Together with SAR processing we conducted contextual image analysis, using ocean geophysical products of the sea surface temperature, surface wind, chlorophyll, wave heights and wave spectrum of the ocean surface. In addition, we started lab experiments under controlled conditions to test the behaviour of microbes colonizing the two most common marine pollutants, polyethylene (PE) and polyethylene terephthalate (PET) microplastics. The analysis of the SAR images had shown that a combination of surface wind speed and Langmuir cells- ocean circulation pattern is the main controlling factor in creating the distinct appearance of the surfactants, sea-slicks and microbial bio-films. The preliminary conclusion of our study is that SAR remote sensing may be able to detect plastic pollution in the open oceans and this method can be extended to other areas. Conference Object North Atlantic German Aerospace Center: elib - DLR electronic library IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 938 941 |
institution |
Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
English |
topic |
Radarkonzepte |
spellingShingle |
Radarkonzepte Davaasuren, Narangerel Marino, Armando Boardman, Carl Alparone, Matteo Nunziata, Ferdinando Ackermann, Nicolas Hajnsek, Irena Detecting microplastics pollution in world oceans using SAR remote sensing |
topic_facet |
Radarkonzepte |
description |
Plastic pollution in world oceans is estimated to have reached 270.000 tones, or 5.25 trillion pieces. This plastic is now ubiquitous, however due to ocean circulation patterns, it accumulates in the ocean gyres, creating garbage patches. This plastic debris is colonized by microorganisms which can create unique surfactants and bio-film ecosystems. Microbial colonization is the first step towards disintegration and degradation of plastic materials: a process that releases metabolic by-products from energy synthesis. These byproducts include the release of short-chain and more complex carbon molecules in the form of surfactants, which we hypothesize will affect the fluid dynamic properties of waves (change in viscosity and surface tension) and make them detectable by the SAR sensor. In this study we used Sentinel-1A and COSMO-SkyMed SAR images in selected sites of the North Pacific and North Atlantic oceans, close to the ocean gyres and away from the coastal interference. Together with SAR processing we conducted contextual image analysis, using ocean geophysical products of the sea surface temperature, surface wind, chlorophyll, wave heights and wave spectrum of the ocean surface. In addition, we started lab experiments under controlled conditions to test the behaviour of microbes colonizing the two most common marine pollutants, polyethylene (PE) and polyethylene terephthalate (PET) microplastics. The analysis of the SAR images had shown that a combination of surface wind speed and Langmuir cells- ocean circulation pattern is the main controlling factor in creating the distinct appearance of the surfactants, sea-slicks and microbial bio-films. The preliminary conclusion of our study is that SAR remote sensing may be able to detect plastic pollution in the open oceans and this method can be extended to other areas. |
format |
Conference Object |
author |
Davaasuren, Narangerel Marino, Armando Boardman, Carl Alparone, Matteo Nunziata, Ferdinando Ackermann, Nicolas Hajnsek, Irena |
author_facet |
Davaasuren, Narangerel Marino, Armando Boardman, Carl Alparone, Matteo Nunziata, Ferdinando Ackermann, Nicolas Hajnsek, Irena |
author_sort |
Davaasuren, Narangerel |
title |
Detecting microplastics pollution in world oceans using SAR remote sensing |
title_short |
Detecting microplastics pollution in world oceans using SAR remote sensing |
title_full |
Detecting microplastics pollution in world oceans using SAR remote sensing |
title_fullStr |
Detecting microplastics pollution in world oceans using SAR remote sensing |
title_full_unstemmed |
Detecting microplastics pollution in world oceans using SAR remote sensing |
title_sort |
detecting microplastics pollution in world oceans using sar remote sensing |
publisher |
IEEE |
publishDate |
2018 |
url |
https://elib.dlr.de/127426/ https://elib.dlr.de/127426/1/08517281.pdf https://ieeexplore.ieee.org/document/8517281 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://elib.dlr.de/127426/1/08517281.pdf Davaasuren, Narangerel und Marino, Armando und Boardman, Carl und Alparone, Matteo und Nunziata, Ferdinando und Ackermann, Nicolas und Hajnsek, Irena (2018) Detecting microplastics pollution in world oceans using SAR remote sensing. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 938-941. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spain. doi:10.1109/IGARSS.2018.8517281 <https://doi.org/10.1109/IGARSS.2018.8517281>. ISBN 978-1-5386-7150-4. ISSN 2153-7003. |
op_doi |
https://doi.org/10.1109/IGARSS.2018.8517281 |
container_title |
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
938 |
op_container_end_page |
941 |
_version_ |
1799485333374500864 |