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dc.contributor.authorBenito Calvo, Alfonso
dc.contributor.authorGutiérrez, Francisco
dc.contributor.authorMartínez Fernández, Adrián 
dc.contributor.authorCarbonel, Domingo
dc.contributor.authorKarampaglidis, Theodoros
dc.contributor.authorDesir, Gloria
dc.contributor.authorSevil, Jorge
dc.contributor.authorGuerrero, Jesús
dc.contributor.authorFabregat, Iván
dc.contributor.authorGarcía Arnay, Ángel
dc.date.accessioned2022-11-23T12:48:08Z
dc.date.available2022-11-23T12:48:08Z
dc.date.issued2018
dc.identifier.citationRemote Sensing, 2018, vol. 10, n. 4, p. 571es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/57382
dc.descriptionProducción Científicaes
dc.description.abstractThis work explores, for the first time, the application of a Terrestrial Laser Scanner (TLS) and a comparison of point clouds in the 4D monitoring of active sinkholes. The approach is tested in three highly-active sinkholes related to the dissolution of salt-bearing evaporites overlain by unconsolidated alluvium. The sinkholes are located in urbanized areas and have caused severe damage to critical infrastructure (flood-control dike, a major highway). The 3D displacement models derived from the comparison of point clouds with exceptionally high spatial resolution allow complex spatial and temporal subsidence patterns within one of the sinkholes to be resolved. Detected changes in the subsidence activity (e.g., sinkhole expansion, translation of the maximum subsidence zone, development of incipient secondary collapses) are related to potential controlling factors such as floods, water table changes or remedial measures. In contrast, with detailed mapping and high-precision leveling, the displacement models, covering a relatively short time span of around 6 months, do not capture the subtle subsidence (<0.6–1 cm) that affects the marginal zones of the sinkholes, precluding precise mapping of the edges of the subsidence areas. However, the performance of TLS can be adversely affected by some methodological limitations and local conditions: (1) limited accuracy in large investigation areas that require the acquisition of a high number of scans, increasing the registration error; (2) surface changes unrelated to sinkhole activity (e.g., vegetation, loose material); (3) traffic-related vibrations and wind blast that affect the stability of the scanner.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationGround-based LiDARes
dc.subject.classificationSubsidence ratees
dc.subject.classificationSinkhole evolutiones
dc.subject.classificationSalt karstes
dc.title4D monitoring of active sinkholes with a terrestrial laser scanner (TLS): A case study in the evaporite karst of the Ebro Valley, NE Spaines
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2018 The Author(s)es
dc.identifier.doi10.3390/rs10040571es
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/10/4/571es
dc.identifier.publicationfirstpage571es
dc.identifier.publicationissue4es
dc.identifier.publicationtitleRemote Sensinges
dc.identifier.publicationvolume10es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad (projects CGL2013-40867-P, CGL2017-85045-P) and (CGL2013-40867-P)es
dc.identifier.essn2072-4292es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco25 Ciencias de la Tierra y del Espacioes


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