Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning
نویسندگان
چکیده
منابع مشابه
Applying Terrestrial Laser Scanning for Soil Surface Roughness Assessment
Terrestrial laser scanning can provide high-resolution, two-dimensional sampling of soil surface roughness. While previous studies demonstrated the usefulness of these roughness measurements in geophysical applications, questions about the number of required scans and their resolution were not investigated thoroughly. Here, we suggest a method to generate digital elevation models, while preserv...
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Nowadays, laser scanning has become an additional technique for geodetic applications. The use of laser scanners is continuously increasing. Different laser scanners of several companies are available. At the Institute of Geodesy and Photogrammetry (IGP) of the Swiss Federal Institute of Technology Zurich (ETH Zurich), experiences with several scanners were gained. Recently, the focus is on inv...
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(1) Fluvial Dynamics Research Group (RIUS); www.fluvialdynamics.com. Departament de Medi Ambient i Ciències del Sòl (DMACS), Universitat de Lleida, E-25198, Lleida, Catalunya, España, [email protected] (2) Centre Tecnològic Forestal de Catalunya, E-25280, Solsona (Lleida), Catalunya, España (3) Institute of Geography and Earth Sciences, Aberystwyth University, Ceredigion SY23 3DB, Wales, UK...
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[1] Vegetation roughness, and more specifically forest roughness, is a necessary component in better defining flood dynamics both in the sense of changes in river catchment characteristics and the dynamics of forest changes and management. Extracting roughness parameters from riparian forests can be a complicated process involving different components for different required scales and flow dept...
متن کاملDescribing Forest Stands Using Terrestrial Laser-scanning
A method for extracting forest parameters is described in this paper. The 3D point clouds derived from phase difference laser scanners in forests were processed in a step-wise separation. The first step contains basic filter methods to reduce raw data which, separates isolated points or deletes those artefacts resulting from the ambiguity problem. The next step includes using algorithms to isol...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2012
ISSN: 0043-1397
DOI: 10.1029/2012wr012223