The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology. (Articolo in rivista)

Type
Label
  • The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology. (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.catena.2007.11.001 (literal)
Alternative label
  • Cavalli M.; Tarolli P.; Marchi L.; Dalla Fontana G. (2008)
    The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology.
    in Catena (Cremling.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cavalli M.; Tarolli P.; Marchi L.; Dalla Fontana G. (literal)
Pagina inizio
  • 249 (literal)
Pagina fine
  • 260 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0341816207001841 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 73 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • Scopus (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Marco Cavalli, Lorenzo Marchi: CNR-IRPI, Corso Stati Uniti 4, 35127 Padova, Italy; Paolo Tarolli, Giancarlo Dalla Fontana: Department of Land and Agroforest Environments University of Padova, Agripolis, viale dell'Università 16, 35020 Legnaro (PD), Italy (literal)
Titolo
  • The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology. (literal)
Abstract
  • High-resolution topographic data have the potential to differentiate the main morphological features of a landscape. This paper analyses the capability of airborne LiDAR-derived data in the recognition of channel-bed morphology. For the purpose of this study, 0.5 m and 1 m resolution Digital Terrain Models (DTMs) were derived from the last pulse LiDAR data obtained by filtering the vegetation points. The analysis was carried out both at 1-D scale, i.e. along the longitudinal channel profile, and at 2-D scale, taking into account the whole extent of the channel bed. The 1-D approach analyzed the residuals of elevations orthogonal to the regression line drawn along the channel profile and the standard deviation of local slope. The 2-D analysis was based on two roughness indexes, consisting on the local variability of the elevation and slope of the channel bed. The study was conducted in a headwater catchment located in the Eastern Italian Alps. The results suggested a good capability of LiDAR data in the recognition of river morphology giving the potential to distinguish the riffle-pool and step-pool reaches. (literal)
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