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dc.contributor.authorSanjosé Blasco, José Juan de
dc.contributor.authorLópez González, Mariló
dc.contributor.authorAlonso Pérez, Estrella
dc.contributor.authorSerrano Cañadas, Enrique 
dc.date.accessioned2020-03-12T14:01:04Z
dc.date.available2020-03-12T14:01:04Z
dc.date.issued2020
dc.identifier.citationRemote Sensing, 2020, vol. 12, n. 4. 21 p.es
dc.identifier.issn2072-4292es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/40631
dc.descriptionProducción Científicaes
dc.description.abstractDebris cones are a very common landform in temperate high mountains. They are the most representative examples of the periglacial and nival processes. This work studies the dynamic behavior of two debris cones (Cone A and Cone B) in the Picos de Europa, in the north of the Iberian Peninsula. Their evolution was measured uninterruptedly throughout each August for 10 years (2009–2018) using the Terrestrial Laser Scanning (TLS) technique. The observations and calculations of the two debris cones were treated independently, but both showed the same behavior. Therefore, if these results are extrapolated to other debris cones in similar environments (temperate high mountain), they should show behavior similar to that of the two debris cones analyzed. Material falls onto the cones from the walls, and transfer of sediments follows linear trajectories according to the maximum slope. In order to understand the linear evolution of the two debris cones, profiles were created along the maximum slope lines of the Digital Elevation Model (DEM) of 2009, and these profile lines were extrapolated to the remaining years of measurement. In order to determine volumetric surface behavior in the DEMs, each year for the period 2009–2018 was compared. In addition, the statistical predictive value for position (Z) in year 2018 was calculated for the same planimetric position (X,Y) throughout the profiles of maximum slopes. To do so, the real field data from 2009–2017 were interpolated and used to form a sample of curves. These curves are interpreted as the realization of a functional random variable that can be predicted using statistical techniques. The predictive curve obtained was compared with the 2018 field data. The results of both coordinates (Z), the real field data, and the statistical data are coherent within the margin of error of the data collection.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMPDIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGeomorfología - España - Picos de Europaes
dc.subject.classificationSurface dynamices
dc.subject.classificationDinámica superficiales
dc.subject.classificationDebris coneses
dc.subject.classificationConos de derrubioses
dc.subject.classificationTerrestrial laser scanninges
dc.subject.classificationLáser escáner terrestrees
dc.titleModelling and Terrestrial Laser Scanning Methodology (2009–2018) on Debris Cones in Temperate High Mountainses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2020 MDPIes
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/12/4/632es
dc.peerreviewedSIes
dc.description.projectFondo Europeo de Desarrollo Regional - Agencia Estatal de Investigación (grant TIN2016-76843-C4-2-R)es
dc.description.projectMinisterio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (grant CGL2015-68144-R)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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