Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34620
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dc.contributor.authorSimpson, Morgan Daviden_UK
dc.contributor.authorMarino, Armandoen_UK
dc.contributor.authorde Maagt, Peteren_UK
dc.contributor.authorGandini, Erioen_UK
dc.contributor.authorHunter, Peteren_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.contributor.authorTyler, Andrewen_UK
dc.contributor.authorTelfer, Trevoren_UK
dc.date.accessioned2022-10-26T00:01:48Z-
dc.date.available2022-10-26T00:01:48Z-
dc.date.issued2022-09en_UK
dc.identifier.other4473en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34620-
dc.description.abstractPlastics in the river environment are of major concern due to their potential pathways into the ocean, their persistence in the environment, and their impacts on human and marine health. It has been documented that plastic concentrations in riparian environments are higher following major rain events, where plastic can be moved through surface runoff. Considering the hazard that plastic waste poses to the environment, monitoring techniques are needed to aid in locating, monitoring, and remediating plastic waste within these systems. Dams are known to trap sediments and pollutants, such as metals and Polychlorinated Biphenyls (PCBs). While there is an established background on the monitoring of dams using the synoptic coverage provided by satellite imaging to observe water quality and volume, the detection of marine debris in riparian systems remains challenging, especially in cloudy conditions. Herein, we exploit the use of Synthetic Aperture Radar (SAR) to understand its capabilities for monitoring marine debris. This research focuses on detecting plastic islands within the Drina River system in Bosnia and Herzegovina and Serbia. Here, the results show that the monitoring of these plastic accumulations is feasible using Sentinel-1 SAR data. A quantitative analysis of detection performance is presented using traditional and state-of-the-art change detectors. The analysis of these detectors indicates that detectors that can utilise the coherent data from Single Look Complex (SLC) acquisitions are perform better when compared with those that only utilise incoherent data from Ground Range-Detected (GRD) acquisitions, with true positive detection ratings of ~95% with 0.1% false alarm rates seen in the best-performing detector. We also found that that the cross-pol VH channel provides better detection than those based on single-pol VV polarisation.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationSimpson MD, Marino A, de Maagt P, Gandini E, Hunter P, Spyrakos E, Tyler A & Telfer T (2022) Monitoring of Plastic Islands in River Environment Using Sentinel-1 SAR Data. Remote Sensing, 14 (18), Art. No.: 4473. https://doi.org/10.3390/rs14184473en_UK
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectSentinel-1en_UK
dc.subjectchange detectionen_UK
dc.subjectmarine debrisen_UK
dc.subjectplastic accumulationen_UK
dc.titleMonitoring of Plastic Islands in River Environment Using Sentinel-1 SAR Dataen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs14184473en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume14en_UK
dc.citation.issue18en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Space Agencyen_UK
dc.author.emailevangelos.spyrakos@stir.ac.uken_UK
dc.citation.date08/09/2022en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationEuropean Space Agencyen_UK
dc.contributor.affiliationEuropean Space Agencyen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000858796100001en_UK
dc.identifier.scopusid2-s2.0-85138764869en_UK
dc.identifier.wtid1841215en_UK
dc.contributor.orcid0000-0003-3004-4517en_UK
dc.contributor.orcid0000-0002-4531-3102en_UK
dc.contributor.orcid0000-0001-7269-795Xen_UK
dc.contributor.orcid0000-0003-0604-5827en_UK
dc.contributor.orcid0000-0003-1613-9026en_UK
dc.date.accepted2022-09-05en_UK
dcterms.dateAccepted2022-09-05en_UK
dc.date.filedepositdate2022-10-25en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorSimpson, Morgan David|0000-0003-3004-4517en_UK
local.rioxx.authorMarino, Armando|0000-0002-4531-3102en_UK
local.rioxx.authorde Maagt, Peter|en_UK
local.rioxx.authorGandini, Erio|en_UK
local.rioxx.authorHunter, Peter|0000-0001-7269-795Xen_UK
local.rioxx.authorSpyrakos, Evangelos|en_UK
local.rioxx.authorTyler, Andrew|0000-0003-0604-5827en_UK
local.rioxx.authorTelfer, Trevor|0000-0003-1613-9026en_UK
local.rioxx.projectESA Contract No. 4000132548/20/NL/MH/hm|European Space Agency|http://dx.doi.org/10.13039/501100000844en_UK
local.rioxx.freetoreaddate2022-10-25en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2022-10-25|en_UK
local.rioxx.filenameremotesensing-14-04473.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2072-4292en_UK
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