HR: 11:50h
AN: H52E-07    [Abstracts]
TI: The Effectiveness of Airborne LiDAR Data in the Recognition of Channel-bed Morphology
AU: * Cavalli, M
EM: marco.cavalli@irpi.cnr.it
AF: CNR-IRPI, Corso Stati Uniti 4, Padova, 35127, Italy
AU: Tarolli, P
EM: paolo.tarolli@unipd.it
AF: Department of Land and Agroforest Environments, University of Padova, Agripolis, viale dell'Università 16, Legnaro (PD), 35020, Italy
AU: Marchi, L
EM: lorenzo.marchi@irpi.cnr.it
AF: CNR-IRPI, Corso Stati Uniti 4, Padova, 35127, Italy
AU: Dalla Fontana, G
EM: giancarlo.dallafontana@unipd.it
AF: Department of Land and Agroforest Environments, University of Padova, Agripolis, viale dell'Università 16, Legnaro (PD), 35020, Italy
AB: High-resolution topographic data have the potential to differentiate the main morphological features of landscape. New survey techniques that have been introduced in the last few years may significantly contribute to this objective. One of these techniques is the Airborne Laser Swath Mapping (ALSM), also known as Light Detection And Ranging (LiDAR). A valuable characteristic of this technology, which marks advantages over the traditional topographic survey techniques, is the capability to derive a high resolution Digital Terrain Model (DTM) from the last pulse LiDAR data by filtering the vegetation points. In this work, we tested the capability of airborne LiDAR- derived data in the analysis of channel-bed morphology of a small alpine stream. For the purpose of this study, 0.5 m and 1 m resolution Digital Terrain Models (DTMs) were derived from the bare ground LiDAR data. 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 a roughness index, consisting on the local variability of the elevation, defined as the standard deviation of residual topography. The study area is the Rio Cordon basin, a headwater catchment located in the Dolomites, a mountain region of the Eastern Italian Alps. We analyzed the main channel, which is characterized by an alternation of different morphologies. The results suggested a good capability of LiDAR data in the recognition of channel-bed morphology giving the potential to distinguish the riffle-pool and step-pool reaches.
DE: 1819 Geographic Information Systems (GIS)
DE: 1825 Geomorphology: fluvial (1625)
DE: 1855 Remote sensing (1640)
DE: 1856 River channels (0483, 0744)
SC: Hydrology [H]
MN: 2007 Fall Meeting