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dc.contributor.authorSedano Cibrián, Javier 
dc.contributor.authorPérez Álvarez, Rubén 
dc.contributor.authorLuis Ruiz, Julio Manuel de 
dc.contributor.authorPereda García, Raúl 
dc.contributor.authorSalas Menocal, Benito Ramiro
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-02-22T13:37:45Z
dc.date.available2023-02-22T13:37:45Z
dc.date.issued2022-09-07
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/10902/27770
dc.description.abstractThe geothermal resource is one of the great sources of energy on the planet. The conventional prospecting of this type of energy is a slow process that requires a great amount of time and significant investments. Nowadays, geophysical techniques have experienced an important evolution due to the irruption of UAVs, which combined with infrared sensors can provide great contributions in this field. The novelty of this technology involves the lack of tested methodologies for their implementation in this type of activities. The research developed is focused on the proposal of a methodology for the exploration of hydrothermal resources in an easy, economic, and rapid way. The combination of photogrammetry techniques with visual and thermal images taken with UAVs allows the generation of temperature maps or thermal orthomosaics, which analyzed with GIS tools permit the quasi-automatic identification of zones of potential geothermal interest along rivers or lakes. The proposed methodology has been applied to a case study in La Hermida (Cantabria, Spain), where it has allowed the identification of an effluent with temperatures close to 40 °C, according to the verification measurements performed on the geothermal interest area. These results allow validation of the potential of the method, which is strongly influenced by the particular characteristics of the study areaes_ES
dc.description.sponsorshipThe authors wish to express their gratitude to the “Concepción Arenal” Grant Programme of the University of Cantabria and to the Government of Cantabria for the financial support provided for the development of the research activities (Grant Reference Number: UC-20-41).es_ES
dc.format.extent21 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
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.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSensors, 2022, 22(18), 6756es_ES
dc.subject.otherGeothermales_ES
dc.subject.otherPhotogrammetryes_ES
dc.subject.otherDronees_ES
dc.subject.otherInfraredes_ES
dc.subject.otherHydrologyes_ES
dc.subject.otherThermal mappinges_ES
dc.subject.otherReclassificationes_ES
dc.titleThermal water prospection with UAV, low-cost sensors and GIS. Application to the case of La Hermidaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOIdoi.org/10.3390/s22186756
dc.type.versionpublishedVersiones_ES


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Mostrar el registro sencillo

© 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.Excepto si se señala otra cosa, la licencia del ítem se describe como © 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.