The Tsunami Threat - Research and Technology 2011
DOI: 10.5772/14266
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Determination of Tsunami Inundation Model Using Terrestrial Laser Scanner Techniques

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Cited by 4 publications
(2 citation statements)
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“…5). This kind of survey permit also to define boulder volumes, imbrication, a-axis azimuth (Table 1) and to hypothesize their pretransport position (Pignatelli et al, 2010;Mastronuzzi and Pignatelli, 2011). Digital survey were performed using a Leica Scanstation 2 able to scan the landscape up to about 300 m from the laser-beam generator in function of the reflectivity of the scanned object (Fig.…”
Section: Digital Surveysmentioning
confidence: 99%
“…5). This kind of survey permit also to define boulder volumes, imbrication, a-axis azimuth (Table 1) and to hypothesize their pretransport position (Pignatelli et al, 2010;Mastronuzzi and Pignatelli, 2011). Digital survey were performed using a Leica Scanstation 2 able to scan the landscape up to about 300 m from the laser-beam generator in function of the reflectivity of the scanned object (Fig.…”
Section: Digital Surveysmentioning
confidence: 99%
“…An important value of TLS instruments lies in the ability to perform repeated surveys in settings that were traditionally difficult to monitor (Young et al 2010). TLS-derived DTMs have been used to provide grain-scale surface roughness data for atmosphere-surface models , to determine the relative ages and the rates and types of surface processes at decimeter scales (Nield et al 2011;van Gaalen et al 2011), and to better improve large-scale models used to classifying coastal flooding and disaster management strategies (Mastronuzzi and Pignatelli 2011;Pignatelli et al 2010). When the topographic data from a TLS survey are accompanied by intensity measurements, individual points can be segregated and/or classified based on spectral characteristics, indicating lithological changes in a scanned feature (Hobbs et al 2010) or the moisture content of ephemeral landforms (Nield et al 2011).…”
Section: Applications Of Tls In Coastal Settingsmentioning
confidence: 99%