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Remote sensing for water quality monitoring: a reservoir case study

dc.contributor.authorAlbuquerque, Maria Teresa
dc.contributor.authorAlegria, Cristina Maria
dc.date.accessioned2025-02-28T17:04:34Z
dc.date.available2025-02-28T17:04:34Z
dc.date.issued2024
dc.description.abstractContinuous monitoring of water resources is crucial for ensuring sustainable urban water supply. Remote sensing techniques have proven to be valuable in monitoring various water quality parameters with optical characteristics. The study focused on the Marateca reservoir located in central inland Portugal. The objectives were as follows: (1) to investigate the water quality parameters at different monitoring points within the Marateca reservoir that could explain certain events; (2) to validate optical water quality parameters using the data collected from the monitoring points; and (3) to model the water characteristics of the reservoir, including its depth, trophic state, and turbidityeng
dc.description.sponsorshipThis study was funded by CERNAS-IPCB [UIDB/00681/2020] funding from the Foundation for Science and Technology (Fundação para a Ciência e Tecnologia-FCT); and by ICT [UIDB/04683/2020] also funding from FCT.
dc.identifier.citationALBUQUERQUE, M.T.D. ; ALEGRIA, C.M.M. (2024) - Remote sensing for water quality monitoring: a reservoir case study. In 26th World Congress of IUFRO2024 - Forests, & Society towards 2050, Stockholm, 2024.
dc.identifier.urihttp://hdl.handle.net/10400.11/10056
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIUFRO
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPortugalWater reservoir
dc.subjectTrophic state
dc.subjectTurbidity
dc.subjectRemote sensing
dc.titleRemote sensing for water quality monitoring: a reservoir case studypor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceStockholm, Suécia
oaire.citation.endPage484
oaire.citation.startPage484
oaire.citation.title26th World Congress of IUFRO2024
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlbuquerque
person.familyNameAlegria
person.givenNameMaria Teresa
person.givenNameCristina Maria
person.identifieruser=YnBEv3oAAAAJ&hl=en
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.ciencia-id9311-1EE5-AB03
person.identifier.orcid0000-0002-8782-6133
person.identifier.orcid0000-0002-6906-6660
person.identifier.ridB-1536-2013
person.identifier.scopus-author-id55507421600
person.identifier.scopus-author-id36952993700
relation.isAuthorOfPublicatione2c2d171-e148-4c23-9cf8-0eb6d810c15e
relation.isAuthorOfPublicationf5b24ce6-b4ff-49ab-8b2d-03de91f7a84d
relation.isAuthorOfPublication.latestForDiscoverye2c2d171-e148-4c23-9cf8-0eb6d810c15e

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