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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/40631

    Título
    Modelling and Terrestrial Laser Scanning Methodology (2009–2018) on Debris Cones in Temperate High Mountains
    Autor
    Sanjosé Blasco, José Juan de
    López González, Mariló
    Alonso Pérez, Estrella
    Serrano Cañadas, EnriqueAutoridad UVA Orcid
    Año del Documento
    2020
    Editorial
    MPDI
    Descripción
    Producción Científica
    Documento Fuente
    Remote Sensing, 2020, vol. 12, n. 4. 21 p.
    Resumo
    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.
    Materias (normalizadas)
    Geomorfología - España - Picos de Europa
    Palabras Clave
    Surface dynamic
    Dinámica superficial
    Debris cones
    Conos de derrubios
    Terrestrial laser scanning
    Láser escáner terrestre
    ISSN
    2072-4292
    Revisión por pares
    SI
    Patrocinador
    Fondo Europeo de Desarrollo Regional - Agencia Estatal de Investigación (grant TIN2016-76843-C4-2-R)
    Ministerio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (grant CGL2015-68144-R)
    Version del Editor
    https://www.mdpi.com/2072-4292/12/4/632
    Propietario de los Derechos
    © 2020 MDPI
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/40631
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    Universidad de Valladolid

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