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Effects of Lidar post-spacing and DEM resolution to mean slope estimation / T. Edwin in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1277 - 1295 Titre : Effects of Lidar post-spacing and DEM resolution to mean slope estimation Type de document : Article/Communication Auteurs : T. Edwin, Auteur ; M.E. Hodgson, Auteur Année de publication : 2009 Article en page(s) : pp 1277 - 1295 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse de sensibilité [Termes IGN] bassin hydrographique [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] densité des points [Termes IGN] données lidar [Termes IGN] estimation de précision [Termes IGN] modèle numérique de surface [Termes IGN] pente [Termes IGN] pouvoir de résolution géométrique Résumé : (Auteur) This paper examines the effect of scale (exhibited by spatial sampling) in modeling mean slope from lidar data using two representations of scale: lidar posting density (i.e. post-spacing) and DEM resolution (i.e. cell size). The study areas selected include six small (i.e. approximately 3 km2) urban drainage basins in Richland County, SC, USA, which share similar hydrologic characteristics. This research spatially sampled an airborne lidar dataset collected in 2000 at a 2 m nominal posting density to simulate lidar posting density at various post-spacings, from 2 m through 10 m. DEMs were created from the lidar observations at a corresponding cell size using spatial interpolation. Finally, using these DEMs, a sensitivity analysis between modeled terrain slope and lidar post-spacing was conducted. Results of the sensitivity analyses showed that the deviation between mean slope and modeled mean slope decreases with finer posting density and DEM resolution. The relationship of mean slope with varying cell sizes and post-spacing suggests a linear and a logarithmic function, respectively, for all study areas. More importantly, cell size has a greater effect on mean slope than lidar posting density. Implications of these results for lumped hydrologic modeling are then postulated. Copyright Taylor & Francis Numéro de notice : A2009-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810802344127 En ligne : https://doi.org/10.1080/13658810802344127 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30019 [article]

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