RT info:eu-repo/semantics/article
T1 Modelling and Terrestrial Laser Scanning Methodology (2009–2018) on Debris Cones in Temperate High Mountains
A1 Sanjosé Blasco, José Juan de
A1 López González, Mariló
A1 Alonso Pérez, Estrella
A1 Serrano Cañadas, Enrique
K1 Geomorfología - España - Picos de Europa
K1 Surface dynamic
K1 Dinámica superficial
K1 Debris cones
K1 Conos de derrubios
K1 Terrestrial laser scanning
K1 Láser escáner terrestre
AB Debris cones are a very common landform in temperate high mountains. They are themost representative examples of the periglacial and nival processes. This work studies the dynamicbehavior of two debris cones (Cone A and Cone B) in the Picos de Europa, in the north of theIberian Peninsula. Their evolution was measured uninterruptedly throughout each August for10 years (2009–2018) using the Terrestrial Laser Scanning (TLS) technique. The observations andcalculations 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 (temperatehigh mountain), they should show behavior similar to that of the two debris cones analyzed. Materialfalls onto the cones from the walls, and transfer of sediments follows linear trajectories according tothe maximum slope. In order to understand the linear evolution of the two debris cones, profiles werecreated along the maximum slope lines of the Digital Elevation Model (DEM) of 2009, and these profilelines were extrapolated to the remaining years of measurement. In order to determine volumetricsurface 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 planimetricposition (X,Y) throughout the profiles of maximum slopes. To do so, the real field data from 2009–2017were interpolated and used to form a sample of curves. These curves are interpreted as the realizationof a functional random variable that can be predicted using statistical techniques. The predictivecurve obtained was compared with the 2018 field data. The results of both coordinates (Z), the realfield data, and the statistical data are coherent within the margin of error of the data collection.
PB MPDI
SN 2072-4292
YR 2020
FD 2020
LK http://uvadoc.uva.es/handle/10324/40631
UL http://uvadoc.uva.es/handle/10324/40631
LA eng
NO Remote Sensing, 2020, vol. 12, n. 4. 21 p.
NO Producción Científica
DS UVaDOC
RD 02-may-2024