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Effect of support size on the accuracy of a distributed rockfall model / L.K.A. Dorren in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)
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Titre : Effect of support size on the accuracy of a distributed rockfall model Type de document : Article/Communication Auteurs : L.K.A. Dorren, Auteur ; Gerard B.M. Heuvelink, Auteur Année de publication : 2004 Article en page(s) : pp 595 - 609 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] agrégation spatiale
[Termes IGN] analyse comparative
[Termes IGN] éboulement
[Termes IGN] erreur moyenne quadratique
[Termes IGN] modèle de simulation
[Termes IGN] modèle numérique de surface
[Termes IGN] prévention des risques
[Termes IGN] système d'information géographiqueRésumé : (Auteur) It is investigated whether a GIS-based distributed model developed for rockfall assessment at slope scale, which uses data with a support of 2.5 x 2.5 m, could be used for rockfall assessment at the regional scale, using input data with a support of 25 x 25 m and of poorer quality. It was anticipated that in the latter case the model error would increase. Three types of simulations were applied to the same model and the outcomes were validated with field data. The first simulation used input data with a support of 2.5 x 2.5 m and aggregated the output to a support of 25 x 25 m. The second simulation used the same input data as in the first simulation, but these data were aggregated to a support of 25 x 25 m before running the model. The third simulation used input data of poorer quality obtained at a support of 25 x 25 m. The results show that simulating the maximum extent of rockfall runout zones with a distributed model using data with a support of 25 x 25 m is realistic and feasible. This is also true for data with poorer quality as the third simulation resulted in a slightly larger mean-squared error than the first simulation. Surprisingly, it also gave a smaller error than the second simulation. We investigated the cause of the large error produced by the second simulation and concluded that this was mainly caused by the combination of a high-quality digital elevation model and the loss of spatial structure in the input data due to spatial aggregation. Numéro de notice : A2004-352 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810410001703804 En ligne : https://doi.org/10.1080/1365881041000170380403804 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26879
in International journal of geographical information science IJGIS > vol 18 n° 6 (october 2004) . - pp 595 - 609[article]Réservation
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