Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30665
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dc.contributor.authorAndriolo, Umberto-
dc.contributor.authorTopouzelis, Konstantinos-
dc.contributor.authorvan Emmerik, Tim H M-
dc.contributor.authorPapakonstantinou, Apostolos-
dc.contributor.authorMonteiro, João Gama-
dc.contributor.authorIsobe, Atsuhiko-
dc.contributor.authorHidaka, Mitsuko-
dc.contributor.authorKako, Shin'ichiro-
dc.contributor.authorKataoka, Tomoya-
dc.contributor.authorGonçalves, Gil-
dc.date.accessioned2023-10-19T09:02:19Z-
dc.date.available2023-10-19T09:02:19Z-
dc.date.issued2023-10-
dc.identifier.citationMarine Pollution Bulletin, 2023, vol. 195en_US
dc.identifier.issn0025326X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30665-
dc.description.abstractMultirotor drones can be efficiently used to monitor macro-litter in coastal and riverine environments. Litter on beaches, dunes and riverbanks, along with floating litter on coastal and river waters, can be spotted and mapped from aerial drone images. Items detection and classification are prone to image resolution, which is expressed in terms of Ground Sampling Distance (GSD). The GSD is determined by drone flight altitude and camera properties. This paper investigates what is a suitable GSD value for litter survey. Drone flight altitude and camera setup should be chosen to obtain a GSD between 0.5 cm/px and 1.25 cm/px. Within this range, the lowest GSD allows litter categorization and classification, whereas the highest value should be adopted for a coarser litter census. In the vision of drawing up a global protocol for drone-based litter surveys, this work sets the ground for homogenizing data collection and litter assessments.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofMarine pollution bulletinen_US
dc.rights© The Author(s). Published by Elsevier Ltd.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEnvironmental pollutionen_US
dc.subjectGround Sampling Distanceen_US
dc.subjectPlasticen_US
dc.subjectRemote sensingen_US
dc.subjectUAVen_US
dc.titleDrones for litter monitoring on coasts and rivers: suitable flight altitude and image resolutionen_US
dc.typeArticleen_US
dc.collaborationINESC Coimbraen_US
dc.collaborationUniversity of Aegeanen_US
dc.collaborationWageningen Universityen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationMARE – Marine and Environmental Sciences Centre/ARNET - Aquatic Research Networken_US
dc.collaborationUniversidade da Madeiraen_US
dc.collaborationKyushu Universityen_US
dc.collaborationJapan Agency for Marine - Earth Science and Technology (JAMSTEC)en_US
dc.collaborationKagoshima Universityen_US
dc.collaborationEhime Universityen_US
dc.collaborationUniversity of Coimbraen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryPortugalen_US
dc.countryGreeceen_US
dc.countryNetherlandsen_US
dc.countryCyprusen_US
dc.countryJapanen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.marpolbul.2023.115521en_US
dc.identifier.pmid37714078-
dc.identifier.scopus2-s2.0-85171141021-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85171141021-
dc.relation.volume195en_US
cut.common.academicyear2022-2023en_US
item.openairetypearticle-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6464-2008-
crisitem.author.parentorgFaculty of Engineering and Technology-
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