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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/1427

Title: Pre-processing algorithms and landslide modelling on remotely sensed DEMs
Authors: Santini, Monia
Grimaldi, Salvatore
Petroselli, Andrea
Nardi, Fernando
Rulli, Maria Cristina
Keywords: Landslide
DEM artifacts
ASTER
PEM4PIT
SHALSTAB
Issue Date: 2009
Publisher: Elsevier
Citation: Santini, M. et al. 2009. Pre-processing algorithms and landslide modelling on remotely sensed DEMs. "Geomorphology" 113 (1-2): 110–125
Abstract: Terrain analysis applications using remotely sensed Digital Elevation Models (DEMs), nowadays easily available, permit to quantify several river basin morphologic and hydrologic properties (e.g. slope, aspect, curvature, flow path lengths) and indirect hydrogeomorphic indices (e.g. specific upslope area, topographic wetness index) able to characterize the physical processes governing the landscape evolution (e.g. surface saturation, runoff, erosion, deposition). Such DEMs often contain artifact
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Description: L'articolo è disponibile sul sito dell'editore http://www.sciencedirect.com/
DOI: 10.1016/j.geomorph.2009.03.023
URI: http://hdl.handle.net/2067/1427
ISSN: 0169-555X
Appears in Collections:GEMINI - Archivio della produzione scientifica

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