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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]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Geostatistical modelling of spatial uncertainty using P-field simulation with conditional probability fields / P. Goovaerts in International journal of geographical information science IJGIS, vol 16 n° 2 (march 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 2 (march 2002) . - pp 167 - 178 Titre : Geostatistical modelling of spatial uncertainty using P-field simulation with conditional probability fields Type de document : Article/Communication Auteurs : P. Goovaerts, Auteur Année de publication : 2002 Article en page(s) : pp 167 - 178 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] géostatistique [Termes IGN] histogramme [Termes IGN] image SPOT [Termes IGN] incertitude géométrique [Termes IGN] modèle d'erreur [Termes IGN] modèle d'incertitude [Termes IGN] réflectance végétale [Termes IGN] seuillage d'image [Termes IGN] simulation Résumé : (Auteur) This paper presents a variant of p-field simulation that allows generation of spatial realizations through sampling of a set of conditional probability distribution functions (ccdf) by sets of probability values, called p-fields. Whereas in the common implementation of the algorithm the p-fields are non conditional realizations of random functions with uniform marginal distributions, they are here conditional to 0.5 probability values at data locations, which entails a preferential sampling of the central part of the ecdf around these locations. The approach is illustrated using a randomly sampled (200 observations of the NIR channel) SPOT scene of a semi-deciduous tropical forest. Results indicate that the use of conditional probability fields improves the reproduction of statistics such as histogram and semi-variogram, while yielding more accurate predictions of reflectance values than the common p-field implementation or the more CPU-intensive sequential indicator simulation. Pixel values are then classified as forest or savannah depending on whether the simulated reflectance value exceeds a given threshold value. In this case study, the proposed approach leads to a more precise and accurate prediction of the size of contiguous areas covered by savannah than the two other simulation algorithms. Numéro de notice : A2002-026 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810110099125 En ligne : https://doi.org/10.1080/13658810110099125 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21943 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02021	RAB	Revue	Centre de documentation	En réserve L003	Disponible