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Uncertainty analysis for soil-terrain models / T.F.A. Bishop in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 2 (february 2006) . - pp 117 - 134 Titre : Uncertainty analysis for soil-terrain models Type de document : Article/Communication Auteurs : T.F.A. Bishop, Auteur ; B. Minasny, Auteur ; A.B. Mcbratney, Auteur Année de publication : 2006 Article en page(s) : pp 117 - 134 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] Argile [Termes IGN] écart moyen [Termes IGN] écart type [Termes IGN] incertitude de position [Termes IGN] lissage de données [Termes IGN] méthode de Monte-Carlo [Termes IGN] modèle numérique de terrain [Termes IGN] pédologie locale [Termes IGN] positionnement par GPS [Termes IGN] qualité des données Résumé : (Auteur) The aim of the study was to examine how robust soil-terrain models are to uncertainty in the source elevation data. The study site was a 74ha agricultural field in Australia. A global positioning system was used to measure elevation and the uncertainty of the measurement, therefore allowing maps of elevation and its uncertainty to be created. Monte-Carlo simulation with a modified version of Latin Hypercube Sampling was used to create 100 realizations of a slope map. Clay content was measured at 111 sites, and kriging with external drift was used to map clay content where each slope realization was used as a secondary information source. Maps of the mean and standard deviation of clay content across all realizations were created. The standard deviations of clay content were generally small «4dagkg-1) and in most parts of the field less than the analytical accuracy of the hydrometer method which was used to measure soil clay content in the laboratory. The values in the map of elevation uncertainty were multiplied by 5 and the entire error propagation process was repeated to create a second set of 100 realizations of the clay content. The ratio of the uncertainty in the original DEM was 5:1 when compared with that in the perturbed DEM, i.e. it was multiplied by 5. The ratio between the standard deviation in the two clay-content maps was 3.79: 1, which indicates a reduction in uncertainty through the modelling process. The results showed that the soil-terrain model performs well for the study area, and it is not very sensitive to DEM errors. We conclude that input uncertainty tests as shown in this study should accompany soil mapping studies where secondary information is used in the prediction model. Numéro de notice : A2006-063 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500287073 En ligne : https://doi.org/10.1080/13658810500287073 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27790 [article]

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