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The effect of acquisition error and level of detail on the accuracy of spatial analyses / Filip Biljecki in Cartography and Geographic Information Science, Vol 45 n° 2 (March 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 2 (March 2018) . - pp 156 - 176 Titre : The effect of acquisition error and level of detail on the accuracy of spatial analyses Type de document : Article/Communication Auteurs : Filip Biljecki, Auteur ; Gerard B.M. Heuvelink, Auteur ; Hugo Ledoux, Auteur ; Jantien E. Stoter, Auteur Année de publication : 2018 Article en page(s) : pp 156 - 176 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] CityGML [Termes IGN] erreur de positionnement [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] niveau de détail [Termes IGN] précision des données [Termes IGN] propagation d'erreur Résumé : (Auteur) There has been a great deal of research about errors in geographic information and how they affect spatial analyses. A typical GIS process introduces various types of errors at different stages, and such errors usually propagate into errors in the result of a spatial analysis. However, most studies consider only a single error type thus preventing the understanding of the interaction and relative contributions of different types of errors. We focus on the level of detail (LOD) and positional error, and perform a multiple error propagation analysis combining both types of error. We experiment with three spatial analyses (computing gross volume, envelope area, and solar irradiation of buildings) performed with procedurally generated 3D city models to decouple and demonstrate the magnitude of the two types of error, and to show how they individually and jointly propagate to the output of the employed spatial analysis. The most notable result is that in the considered spatial analyses the positional error has a much higher impact than the LOD. As a consequence, we suggest that it is pointless to acquire geoinformation of a fine LOD if the acquisition method is not accurate, and instead we advise focusing on the accuracy of the data. Numéro de notice : A2018-008 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2017.1279986 En ligne : https://doi.org/10.1080/15230406.2017.1279986 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88977 [article]

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032-2018021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Object-based superresolution land-cover mapping from remotely sensed imagery / Yuehong Chen in IEEE Transactions on geoscience and remote sensing, vol 56 n° 1 (January 2018)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 56 n° 1 (January 2018) . - pp 328 - 340 Titre : Object-based superresolution land-cover mapping from remotely sensed imagery Type de document : Article/Communication Auteurs : Yuehong Chen, Auteur ; Yong Ge, Auteur ; Gerard B.M. Heuvelink, Auteur ; Ru An, Auteur ; Yu Chen, Auteur Année de publication : 2018 Article en page(s) : pp 328 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification orientée objet [Termes IGN] classification pixellaire [Termes IGN] déconvolution [Termes IGN] krigeage [Termes IGN] occupation du sol [Termes IGN] programmation linéaire [Termes IGN] variogramme Résumé : (Auteur) Superresolution mapping (SRM) is a widely used technique to address the mixed pixel problem in pixel-based classification. Advanced object-based classification will face a similar mixed phenomenon-a mixed object that contains different land-cover classes. Currently, most SRM approaches focus on estimating the spatial location of classes within mixed pixels in pixel-based classification. Little if any consideration has been given to predicting where classes spatially distribute within mixed objects. This paper, therefore, proposes a new object-based SRM strategy (OSRM) to deal with mixed objects in object-based classification. First, it uses the deconvolution technique to estimate the semivariograms at target subpixel scale from the class proportions of irregular objects. Then, an area-to-point kriging method is applied to predict the soft class values of subpixels within each object according to the estimated semivariograms and the class proportions of objects. Finally, a linear optimization model at object level is built to determine the optimal class labels of subpixels within each object. Two synthetic images and a real remote sensing image were used to evaluate the performance of OSRM. The experimental results demonstrated that OSRM generated more land-cover details within mixed objects than did the traditional object-based hard classification and performed better than an existing pixel-based SRM method. Hence, OSRM provides a valuable solution to mixed objects in object-based classification. Numéro de notice : A2018-186 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2747624 Date de publication en ligne : 20/09/2017 En ligne : https://doi.org/10.1109/TGRS.2017.2747624 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89843 [article]

Optimization of mobile radioactivity monitoring networks / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 24 n°3-4 (march 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°3-4 (march 2010) . - pp 365 - 382 Titre : Optimization of mobile radioactivity monitoring networks Type de document : Article/Communication Auteurs : Gerard B.M. Heuvelink, Auteur ; Zhiheng Jiang , Auteur ; S. De Bruin, Auteur ; C. Twenhöfel, Auteur Année de publication : 2010 Article en page(s) : pp 365 - 382 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accident nucléaire [Termes IGN] algorithme du recuit simulé [Termes IGN] allocation [Termes IGN] appareil portable [Termes IGN] contamination [Termes IGN] distribution spatiale [Termes IGN] géostatistique [Termes IGN] lever mobile [Termes IGN] Pays-Bas [Termes IGN] risque technologique Résumé : (Auteur) In case of a nuclear accident, decision makers rely on high-resolution and accurate information about the spatial distribution of radioactive contamination surrounding the accident site. However, the static nuclear monitoring networks of many European countries are generally too coarse to provide the desired level of spatial accuracy. In the Netherlands, authorities are considering a strategy in which measurement density is increased during an emergency using complementary mobile measuring devices. This raises the question, where should these mobile devices be placed? This article proposes a geostatistical methodology to optimize the allocation of mobile measurement devices, such that the expected weighted sum of false-positive and false-negative areas (i.e. false classification into safe and unsafe zones) is minimized. Radioactivity concentration is modelled as the sum of a deterministic trend and a zero-mean spatially correlated stochastic residual. The trend is defined as the outcome of a physical atmospheric dispersion model, NPK-PUFF. The residual is characterized by a semivariogram of differences between the outputs of various NPK-PUFF model runs, designed to reflect the effect of uncertainty in NPK-PUFF meteorological inputs (e.g. wind speed, wind direction). Spatial simulated annealing is used to obtain the optimal monitoring design, in which accessibility of sampling sites (e.g. distance to roads) is also considered. Although the methodology is computationally demanding, results are promising and the computational load may be considerably reduced to compute optimal mobile monitoring designs in nearly real time. Copyright Taylor & Francis Numéro de notice : A2010-142 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802646687 En ligne : http://dx.doi.org/10.1080/13658810802646687 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30337 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010022	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A probabilistic framework for representing and simulating uncertain environmental variables / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 497 - 513 Titre : A probabilistic framework for representing and simulating uncertain environmental variables Type de document : Article/Communication Auteurs : Gerard B.M. Heuvelink, Auteur ; J. Brown, Auteur ; E. Emiel Van Loon, Auteur Année de publication : 2007 Article en page(s) : pp 497 - 513 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] distribution, loi de [Termes IGN] incertitude d'attribut [Termes IGN] incertitude de position [Termes IGN] incertitude des données [Termes IGN] modèle stochastique [Termes IGN] simulation Résumé : (Auteur) Understanding the limitations of environmental data is important for managing environmental systems effectively and for encouraging the responsible use of uncertain data. Explicit assessment of the uncertainties associated with environmental data, and their storage in a database, are therefore important. This paper presents a statistical framework for representing and simulating uncertain environmental variables. In general terms, an uncertain variable is completely specified by its probability distribution function (pdf). Pdfs are developed for objects with uncertain locations ('positional uncertainty') and uncertain attribute values ('attribute uncertainty'). Objects comprising multiple space-time locations are separated into 'rigid objects', where positional uncertainty cannot alter the internal geometry of the object, and 'deformable' objects, where positional uncertainty can vary between locations in one object. Statistical dependence is allowed between uncertainties in multiple locations in one object. The uncertainties associated with attribute values are also modelled with pdfs. The type and complexity of these pdfs depend upon the measurement scale and the space-time variability of the uncertain attribute. The framework is illustrated with examples. A prototype software tool for assessing uncertainties in environmental data, storing them within a database, and for generating realizations for use in Monte Carlo studies is also presented. Copyright Taylor & Francis Numéro de notice : A2007-133 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601063951 En ligne : https://doi.org/10.1080/13658810601063951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28496 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07032	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 6 (october 2004) . - pp 595 - 609 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 géographique Résumé : (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 [article]

Exemplaires(2)

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079-04061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-04062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

vol 16 n° 2 - march 2002 - Developments in statistical approaches to spatial uncertainty and its propagation (Bulletin de International journal of geographical information science IJGIS) / Gerard B.M. Heuvelink

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Accuracy 2000 : Proceedings of the 4th international symposium on spatial accuracy assessment in natural resources and environmental sciences, Amsterdam, July 2000 / Gerard B.M. Heuvelink (2000) 

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Error propagation in environmental modelling with GIS / Gerard B.M. Heuvelink (2000)

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