Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/135742
Campo DC Valoridioma
dc.contributor.authorMartín Abasolo, Javieren_US
dc.contributor.authorMedina Machín,Anabellaen_US
dc.contributor.authorDe Luque Söllheim, Ángel Luisen_US
dc.contributor.authorBergasa López, Oscaren_US
dc.contributor.authorCoca, Josepen_US
dc.date.accessioned2025-01-29T19:01:39Z-
dc.date.available2025-01-29T19:01:39Z-
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/10553/135742-
dc.description.abstractThe bathing water quality is an essential issue because of the consequences for the public health of the coastline users that make an extensive recreational use of it, even more in tourist areas. Overpopulation of coastlines generates large volumes of wastewater that must be treated as a prior step to its discharge into the coastal outfalls. In order to carry out a control of the wastewater treatment and discharge process, it is necessary to monitor the discharge points through a systematic and costly in-situ sampling analyzed in laboratory for the detection of bacterial pathogens. This requirement of bathing water monitoring made clear thanks to the European directive 2006/7/CE of February 15, 2006. This complex and slow procedure does not allow obtaining early alerts of the presence of pathogens because the biological bacterial analysis method require a minimum of three days. We propose, the use of a hyperspectral camera aboard a drone in order to monitor the bathing water by using the Radiative Transfer Model (RTM) to obtain indicators of the presence of bacterial pathogens. In this way, this paper presents the first preliminary results of our study.en_US
dc.languageengen_US
dc.relationTSEA project (CDTI)en_US
dc.sourceConference Proceedings YP Remote Sensing 2018 : Young Professionals Conference on Remote Sensing, p. 32-34en_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject330810 Tecnología de aguas residualesen_US
dc.subject.otherWater qualityen_US
dc.subject.otherBacterial pathogensen_US
dc.subject.otherEarly alerten_US
dc.subject.otherDroneen_US
dc.subject.otherHyperspectral imagesen_US
dc.subject.otherRTMen_US
dc.titleDrone hyperspectral system for monitoring coastal bathing water qualityen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConference objecten_US
dc.relation.conferenceYP Remote Sensing 2018 : Young Professionals Conference on Remote Sensing : 7-8 June 2018, Eurogress-Aachen, Aachen, Germanyen_US
dc.description.lastpage34en_US
dc.description.firstpage32en_US
dc.investigacionCienciasen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages3en_US
dc.utils.revisionen_US
dc.identifier.supplementhttp://www.grss-ieee.org/yp_remote_sensing_2018/Proceedings_YPRS2018.pdf-
dc.identifier.ulpgcNoen_US
dc.contributor.buulpgcBU-BASen_US
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptGIR IUNAT: Física marina y teledetección aplicada-
crisitem.author.deptIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.deptDepartamento de Física-
crisitem.author.deptGIR ECOAQUA: Biodiversidad y Conservación-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.orcid0000-0003-1422-979X-
crisitem.author.orcid0000-0003-0625-8240-
crisitem.author.parentorgIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameMartín Abasolo, Javier-
crisitem.author.fullNameMedina Machín,Anabella-
crisitem.author.fullNameDe Luque Söllheim, Ángel Luis-
crisitem.author.fullNameSaenz De Albeniz,Josep Coca-
Colección:Actas de congresos
Adobe PDF (326,6 kB)
Vista resumida

Google ScholarTM

Verifica


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.