Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/128905
DC FieldValueLanguage
dc.contributor.authorEugenio, F.-
dc.contributor.authorMederos-Barrera, A.-
dc.contributor.authorMarcello, J.-
dc.date.accessioned2024-02-14T12:53:39Z-
dc.date.available2024-02-14T12:53:39Z-
dc.date.issued2023-
dc.identifier.isbn9798350320107-
dc.identifier.issn2153-6996-
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/128905-
dc.description.abstractCoastal island ecosystems are unique and fragile environments and very sensitive to climate change and direct anthropogenic impact. The use of remote sensing offers the advantage of monitoring these valuable areas in an accessible and cost-effective manner. The main objective of this research, linked to the sustainable management of littoral areas, is the generation of knowledge that is materialized in the implementation of a robust image processing methodology to generate accurate bathymetry and benthic high-resolution maps in coastal shallow waters using remote sensing satellite multispectral sensors (WorldView-2/3). So, this paper presents a methodology for the monitoring of two protected ecosystems in Canary Islands (Spain): Las Canteras beach (Gran Canaria Island) and the channel of La Graciosa-Lanzarote Island. In addition, a multitemporal study is presented where the usefulness of the technology in the monitoring of marine ecosystems is presented.-
dc.languageeng-
dc.relation.ispartofInternational Geoscience And Remote Sensing Symposium (IGARSS)-
dc.sourceInternational Geoscience and Remote Sensing Symposium (IGARSS)[EISSN ],v. 2023-July, p. 4104-4107, (Enero 2023)-
dc.subject33 Ciencias tecnológicas-
dc.subject.otherArtificial Intelligence Algorithms-
dc.subject.otherBathymetric Mapping-
dc.subject.otherBenthic Mapping-
dc.subject.otherCoastal Ecosystems-
dc.subject.otherHigh-Resolution Satellite-
dc.titleHigh-Resolution Satellite Monitoring of Vulnerable Coastal Ecosystems Using Advanced Artificial Intelligence Techniques-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeConferenceObject-
dc.relation.conference2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023-
dc.identifier.doi10.1109/IGARSS52108.2023.10282981-
dc.identifier.scopus85178368728-
dc.identifier.isi001098971604077-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid6603605357-
dc.contributor.authorscopusid57220806560-
dc.contributor.authorscopusid6602158797-
dc.description.lastpage4107-
dc.description.firstpage4104-
dc.relation.volume2023-July-
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresos-
dc.contributor.daisngid7560911-
dc.contributor.daisngid55957126-
dc.contributor.daisngid52840122-
dc.description.numberofpages4-
dc.utils.revision-
dc.contributor.wosstandardWOS:Eugenio, F-
dc.contributor.wosstandardWOS:Mederos-Barrera, A-
dc.contributor.wosstandardWOS:Marcello, J-
dc.date.coverdateEnero 2023-
dc.identifier.conferenceidevents150510-
dc.identifier.ulpgc-
dc.contributor.buulpgcBU-TEL-
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-0010-4024-
crisitem.author.orcid0000-0002-9646-1017-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameEugenio González, Francisco-
crisitem.author.fullNameMarcello Ruiz, Francisco Javier-
crisitem.event.eventsstartdate27-11-2023-
crisitem.event.eventsenddate30-11-2023-
Appears in Collections:Actas de congresos
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