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Propagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity / A. Burnicki in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 1043 - 1060 Titre : Propagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity Type de document : Article/Communication Auteurs : A. Burnicki, Auteur ; D. Brown, Auteur ; P. Goovaerts, Auteur Année de publication : 2010 Article en page(s) : pp 1043 - 1060 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] carte d'occupation du sol [Termes IGN] changement d'occupation du sol [Termes IGN] complexité [Termes IGN] incertitude des données [Termes IGN] occupation du sol [Termes IGN] propagation d'erreur [Termes IGN] série temporelle [Termes IGN] simulation [Termes IGN] utilisation du sol Résumé : (Auteur) We examined the impact of temporal dependence between patterns of error in classified time-series imagery through a simulation modeling approach. This research extended the land-cover-change simulation model we previously developed to investigate: (1) the assumption of temporal independence between patterns of error in classified time-series imagery; and (2) the interaction of patterns of change and patterns of error in a post-classification change analysis. In this research, the thematic complexity of the classified land-cover maps was increased by increasing the number of simulated land-cover classes. Simulating maps with increased categorical resolution permitted the incorporation of: (1) higher-order, more complex spatial and temporal interactions between land-cover classes; and (2) patterns of error that better reproduce the complex error interactions that often occur in time-series classified imagery. The overall modeling framework was divided into two primary components: (1) generation of a map representing true change; and (2) generation of a suite of change maps that had been perturbed by specific patterns of error. All component maps in the model were produced using simulated annealing, which enabled us to create a series of map realizations with user-defined spatial and temporal patterns. Comparing the true map of change to the error-perturbed maps of change using accuracy assessment statistics showed that increasing the temporal dependence between classification errors did not improve the accuracy of resulting maps of change when the categorical scale of the land-cover classified maps was increased. The increased structural complexity within the time series of maps effectively inhibited the impact of temporal dependence. However, results demonstrated that there are interactions between patterns of error and patterns of change in a post-classification change analysis. These interactions played a major role in determining the accuracy associated with the maps of change. Numéro de notice : A2010-319 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903279008 En ligne : https://doi.org/10.1080/13658810903279008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30513 [article]

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