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The geomorphological characterisation of digital elevation models / Joseph Wood (1996)
Titre : The geomorphological characterisation of digital elevation models Type de document : Thèse/HDR Auteurs : Joseph Wood, Auteur Editeur : Leicester [Royaume-Uni] : University of Leicester Année de publication : 1996 Importance : 180 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données localisées
[Termes IGN] géomorphométrie
[Termes IGN] incertitude des données
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] Ordnance Survey (UK)Index. décimale : THESE Thèses et HDR Résumé : (auteur) Techniques and issues are considered surrounding the characterization of surface form represented by Digital Elevation Models (DEMO. A set of software tools suitable for use in a raster based Geographical Information System (GIS) is developed. Characterization has three specific objectives, namely to identify spatial pattern, to identify scale dependency in form and to allow visualization of results. An assessment is made of the characteristics of error in DEMs by identifying suitable quantitative measures and visualization processes that may be enabled within a GIS. These are evaluated by contour threading a fractal surface and comparing four different spatial interpolations of the contours. The most effective error characterizations are found to be those that identify high frequency spatial pattern. Visualization of spati4arrangement of DEM error is used to develop a deterministic error model based on local surface slope and aspect.
DEMs are parameterized using first and second derivatives of quadratic surfaces fitted over a range of scales. This offers advantages over traditional methods based on a 3 by 3 local window, as geomorphometric form can be characterized at any scale. Morphometric parameters are combined to give a feature classification that may also be applied over a range of scales. Multi-scale measurements are combined to give a feature membership function that describes how properties change with scale. These functions are visualized using modal and entropy measures of variability. An additional method of visualizing scale dependency is suggested that graphically represents statistical measures of spatial pattern over a variety of spatial lags. This is found to be most appropriate for detecting structural anisotropy in a surface. Characterization tools are evaluated by applying them to uncorrelated surfaces, fractal surfaces and Ordnance Survey DEMs of the Lake District, Peak District and Dartmoor. [...]Numéro de notice : 17241 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : Geography : Leicester : 1996 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81626 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17241-01 THESE Livre Centre de documentation Thèses Disponible