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Auteur N. Kroll |
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Quantifying DEM uncertainty and its effect on topographic parameters / S.P. Wechsler in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 9 (September 2006)
[article]
Titre : Quantifying DEM uncertainty and its effect on topographic parameters Type de document : Article/Communication Auteurs : S.P. Wechsler, Auteur ; N. Kroll, Auteur Année de publication : 2006 Article en page(s) : pp 1081 - 1090 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse de données
[Termes IGN] erreur de positionnement
[Termes IGN] incertitude de position
[Termes IGN] lever topographique
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) Digital elevation models (DEMs) are representations of topography with inherent errors that constitute uncertainty. DEM data are often used in analyses without quantifying the effects of these errors. This paper describes a Monte Carlo methodology for evaluation of the effects of uncertainty on elevation and derived topographic parameters. Four methods for representing DEM uncertainty that utilize metadata and spatial characteristics of a DEM are presented. Seven statistics derived from simulation results were used to quantify the effect of DEM error. When uncertainty was quantified by the average relative absolute difference, elevation did not deviate. The range of deviation across the four methods for slope was 5 to 8 percent, 460 to 950 percent for derived catchment areas and 4 to 9 percent for the topographic index. This research demonstrates how application of this methodology can address DEM uncertainty, contributing to more responsible use of elevation and derived topographic parameters, and ultimately results obtained from their use. Copyright ASPRS Numéro de notice : A2006-384 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.9.1081 En ligne : https://doi.org/10.14358/PERS.72.9.1081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28108
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 9 (September 2006) . - pp 1081 - 1090[article]