dc.contributor.author | Sanjosé Blasco, José Juan de | |
dc.contributor.author | López González, Mariló | |
dc.contributor.author | Alonso Pérez, Estrella | |
dc.contributor.author | Serrano Cañadas, Enrique | |
dc.date.accessioned | 2020-03-12T14:01:04Z | |
dc.date.available | 2020-03-12T14:01:04Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Remote Sensing, 2020, vol. 12, n. 4. 21 p. | es |
dc.identifier.issn | 2072-4292 | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/40631 | |
dc.description | Producción Científica | es |
dc.description.abstract | Debris 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.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MPDI | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Geomorfología - España - Picos de Europa | es |
dc.subject.classification | Surface dynamic | es |
dc.subject.classification | Dinámica superficial | es |
dc.subject.classification | Debris cones | es |
dc.subject.classification | Conos de derrubios | es |
dc.subject.classification | Terrestrial laser scanning | es |
dc.subject.classification | Láser escáner terrestre | es |
dc.title | Modelling and Terrestrial Laser Scanning Methodology (2009–2018) on Debris Cones in Temperate High Mountains | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2020 MDPI | es |
dc.relation.publisherversion | https://www.mdpi.com/2072-4292/12/4/632 | es |
dc.peerreviewed | SI | es |
dc.description.project | Fondo Europeo de Desarrollo Regional - Agencia Estatal de Investigación (grant TIN2016-76843-C4-2-R) | es |
dc.description.project | Ministerio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (grant CGL2015-68144-R) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |