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dc.contributor.authorGaraba, Shungudzemwoyo P.
dc.contributor.authorAitken, Jen
dc.contributor.authorSlat, Boyan
dc.contributor.authorDierssen, Heidi M.
dc.contributor.authorLebreton, Laurent
dc.contributor.authorZielinski, Oliver
dc.contributor.authorReisser, Julia
dc.date.accessioned2018-09-30T12:13:23Z
dc.date.available2018-09-30T12:13:23Z
dc.date.issued2018-09-25
dc.identifier.citationGaraba SP, Aitken J, Slat B, Dierssen HM, Lebreton L, et al. (2018) Sensing Ocean Plastics with an Airborne Hyperspectral Shortwave Infrared Imager. Environmental Science & Technology. Available: http://dx.doi.org/10.1021/acs.est.8b02855.
dc.identifier.issn0013-936X
dc.identifier.issn1520-5851
dc.identifier.doi10.1021/acs.est.8b02855
dc.identifier.urihttp://hdl.handle.net/10754/628857
dc.description.abstractHere, we present a proof-of-concept on remote sensing of ocean plastics using airborne shortwave infrared (SWIR) imagery. We captured red, green, and blue (RGB) and hyperspectral SWIR imagery with equipment mounted on a C-130 aircraft surveying the “Great Pacific Garbage Patch” at a height of 400 m and a speed of 140 knots. We recorded the position, size, color, and type (container, float, ghost net, rope, and unknown) of every plastic piece identified in the RGB mosaics. We then selected the top 30 largest items within each of our plastic type categories (0.6–6.8 m in length) to investigate SWIR spectral information obtained with a SASI-600 imager (950–2450 nm). Our analyses revealed unique SWIR spectral features common to plastics. The SWIR spectra obtained (N = 118 items) were quite similar both in magnitude and shape. Nonetheless, some spectral variability was observed, likely influenced by differences in the object optical properties, the level of water submersion, and an intervening atmosphere. Our simulations confirmed that the ∼1215 and ∼1732 nm absorption features have potential applications in detecting ocean plastics from spectral information. We explored the potential of SWIR remote sensing technology for detecting and quantifying ocean plastics, thus provide relevant information to those developing better monitoring solutions for ocean plastic pollution.
dc.description.sponsorshipWe would like to thank donors of The Ocean Cleanup and partners of the “Aerial Expedition” project. Partners included International Air Response, ITRES, Teledyne Optech, Salesforce and Google for Moffett Airfield sponsorship. We also thank NOARC for the collaboration and support with acquiring the SWIR data over the North Pacific. We are grateful for assistance on the project by Robert Marthouse. We acknowledge Rick Martini and Anna Schwarz for support with logistics and survey planning; Chandra Salgado, Sue Gibbs, Kim Noble, Sara Niksic, Florent Beauverd, and Taylor Swift for assistance with the field work; and Sara Hajbane and Igor Carneiro for postprocessing of the RGB mosaics. We appreciate the fellowship funded by NASA Ocean Biology and Biogeochemistry Grant No. NNX15AC32G.
dc.publisherAmerican Chemical Society (ACS)
dc.relation.urlhttps://pubs.acs.org/doi/10.1021/acs.est.8b02855
dc.rightsThis is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License, which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
dc.rights.urihttp://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html
dc.titleSensing Ocean Plastics with an Airborne Hyperspectral Shortwave Infrared Imager
dc.typeArticle
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalEnvironmental Science & Technology
dc.eprint.versionPost-print
dc.contributor.institutionMarine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University of Oldenburg, Schleusenstraße 1, Wilhelmshaven 26382, Germany
dc.contributor.institutionDepartment of Marine Sciences, Avery Point Campus, University of Connecticut, 1080 Shennecossett Road, Groton, Connecticut 06340, United States
dc.contributor.institutionThe Ocean Cleanup Foundation, Batavierenstraat 15, Rotterdam 3014 JH, Netherlands
dc.contributor.institutionTeledyne Optech Inc., 7225 Stennis Airport Road #300, Kiln, Mississippi 39556, United States
dc.contributor.institutionThe Modelling House, 3 Bay View Road, Raglan 3225, New Zealand
dc.contributor.institutionAustralian Institute of Marine Science, Indian Ocean Marine Research Centre, 39 Fairway, Perth 6009, Australia
kaust.personReisser, Julia
refterms.dateFOA2018-10-01T07:43:21Z


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