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Titre : Modeling and visualizing dynamic landscape objects and their qualities Type de document : Thèse/HDR Auteurs : Daniel van de Vlag, Auteur ; Alfred Stein, Directeur de thèse ; Menno-Jan Kraak, Directeur de thèse Editeur : Enschede [Pays Bas] : University of Twente Année de publication : 2006 Collection : ITC Dissertation num. 132 Importance : 170 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-90-8504-384-3 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multivariée
[Termes IGN] arbre de décision
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données spatiotemporelles
[Termes IGN] incertitude des données
[Termes IGN] objet géographique
[Termes IGN] ontologieIndex. décimale : THESE Thèses et HDR Résumé : (auteur) This thesis focuses on modeling and visualizing dynamic landscape objects and their qualities. It contains ontologies to characterize and model dynamic landscape features using spatial data. It considers their spatial data qualities and visualizes them by explorative methods. In this study, the dynamic landscape features are derived from a coastal movement application within the Netherlands, whereby beaches are subject to nourishment due to severe erosion. The description and classification of beach objects and their processes essentially grounds on the perception of the coastal landscape. Modeling a landscape is a basic agreement on the conceptualization of these features and processes. The aim is to develop a framework for conceptualization of dynamic beach objects, to understand the physical processes involved and to illustrate decision rules adopted in classification of these objects. Also, quality issues related to beach nourishments are studied, visualized and explored, using new visualization techniques. A domain-specific ontology can serve as a framework for the conceptualization of beach objects and their processes. The discrimination into product and problem ontology supports the guidance for classification of these objects and to elucidate which data ‘fit for use’. Data qualities are assessed using a quality matrix, where ontological features are portrayed against quality elements. Elements of positional, thematic and temporal accuracy and data completeness are considered of high importance for the beach nourishment application. The problem and product ontology helps to define two scenarios; the first determined by the regulations from the Ministry for Public Works; the second grounded on the abilities from an existing spatial dataset. A comparison between them shows that 72.8% of the objects suitable and non-suitable for nourishment are correctly classified. A higher overlap is found in areas where actual beach nourishments were carried out. Inaccuracies in attributes, i.e. altitude, vegetation and wetness, influence the determination of the objects. A sensitivity analysis applied on altitude shows that determinate boundaries for beach nourishment objects are not reasonable and consequently should be treated as vague objects. The ontology for beach objects is extended with a spatio-temporal ontology that considers objects to be vague and dynamic. It contains full membership functions for crisp objects, partial membership functions for fuzzy objects and temporal membership functions for dynamic fuzzy objects. The temporal membership functions include seasonal changes of vegetation and daily changes in wetness. A sensitivity analysis shows that the calculated beach nourishment volumes are practically insensitive in relation to assumptions on the temporal membership functions. A spatio-temporal ontology, as an extent of a spatial ontology, is shown to model dynamic processes in landscape studies in a more realistic way. To classify a coastal landscape, I also consider the level of scale. Object hierarchy is essential but is often ignored when collecting and classifying landscape features. A fuzzy decision tree considers a hierarchical structure for classification based on decision rules on object attributes. These attributes are defined on the basis of uncertain parameters that may change in space and time. A Bayesian hierarchical model deals with modeling and handling this uncertainty. In the beach management application, Bayesian hierarchical modeling is applied to obtain posterior probability distributions for several boundary regions. The posterior distributions yield lower and upper limits of membership functions describing boundaries between object classes. In this way, a proper fuzzy decision tree is build that includes the inherent dynamic uncertainty. The spatial information of the application contains large multivariate and multi-temporal datasets. An integrated prototype for visualization and exploration of multivariate spatiotemporal datasets is introduced. It is applied to understand and explain the behaviour of dynamic beach objects and their uncertainties. It consists of the map environment (MAP), a parallel coordinate plot environment (PCP) for visualizing attributes of the dataset, and a temporal ordered space matrix environment (TOSM) for presenting spatio-temporal patterns. The TOSM is a new exploration method and can be seen as a schematized map, whereby the rows in the TOSM environment represent time, the columns represent geographic units, and individual cells are colored according to the value of user defined attributes. The prototype is applied on four case studies. A usability test is performed to test for the differences in the ability to detect patterns in multivariate spatio-temporal datasets for each environment. Test measures are efficiency, effectiveness and user’s satisfaction. Results show that the TOSM environment and the integrated prototype have significantly better performances in efficiency and user’s satisfaction than the MAP and PCP environment. Note de contenu : 1: Introduction
2: Ameland case study
3: An application of problem and product ontologies for the revision of beach nourishments
4: Modeling Dynamic Beach Objects Using Spatio-temporal Ontologies
5: Incorporating Uncertainty via Hierarchical Classification using Fuzzy Decision Trees
6: Temporal Ordered Space Matrix: Representation of Multivariate Spatio-temporal Data
7: ConclusionsNuméro de notice : 17248 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : Géomatique : ITC : 2006 En ligne : http://library.wur.nl/WebQuery/wurpubs/348623 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81878 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17248-01 THESE Livre Centre de documentation Thèses Disponible Un nouveau paysage politique en Suisse / Françoise de Blomac in SIG la lettre, n° 73 (janvier 2006)
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Titre : Un nouveau paysage politique en Suisse Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2006 Article en page(s) : pp 9 - 9 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse de données
[Termes IGN] atlas
[Termes IGN] cartographie statistique
[Termes IGN] politique publique
[Termes IGN] SuisseRésumé : (Auteur) La cartographie politique est une denrée rare. Trop peu explorée, limitée à quelques résultats d'élections, elle a pourtant beaucoup de choses à nous apprendre sur notre vision de la "chose publique". Ainsi, deux géographes suisses ont publié un très intéressant atlas qui analyse 20 ans de "votations" en Suisse. Entre traitement statistique robuste, interprétation osée et représentation originale, les auteurs construisent une nouvelle géographie de la Suisse, où les conservateurs ne sont pas tous de droite et les écologistes pas tous de gauche ! Numéro de notice : A2006-006 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27734
in SIG la lettre > n° 73 (janvier 2006) . - pp 9 - 9[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 286-06011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Physique de l’atmosphère, télédétection et géophysique spatiale : L3 Géosciences fondamentales Type de document : Guide/Manuel Auteurs : Stéphane Jacquemoud, Auteur Editeur : Paris : Université de Paris 7 Denis Diderot Année de publication : 2006 Format : 21 x 30 cm Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] analyse de données
[Termes IGN] atmosphère terrestre
[Termes IGN] capteur actif
[Termes IGN] capteur passif
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] couvert végétal
[Termes IGN] rayonnement électromagnétique
[Termes IGN] vecteur (télédétection)Index. décimale : 35.00 Télédétection - généralités Résumé : (Auteur) Ce cours est une introduction à la télédétection destinée aux étudiants de troisième année de la licence Sciences de la Terre, de l'environnement et des planètes. Il en présente les bases physiques mais pas seulement puisque des notions de climatologie, physique de l'atmosphère, etc. sont aussi abordées. Numéro de notice : 22503 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80951 Documents numériques
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22503-Physique de l’atmosphère, télédétection et géophysique spatiale.pdfAdobe Acrobat PDF Postflood damage evaluation using landsat TM and ETM+ data integrated with DEM / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 44 n° 1 (January 2006)
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Titre : Postflood damage evaluation using landsat TM and ETM+ data integrated with DEM Type de document : Article/Communication Auteurs : M. Gianinetto, Auteur ; P. Villa, Auteur ; G. Lechi, Auteur Année de publication : 2006 Article en page(s) : pp 236 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aide à la décision
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] analyse en composantes principales
[Termes IGN] dommage matériel
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] impact sur l'environnement
[Termes IGN] inondation
[Termes IGN] Italie
[Termes IGN] modèle numérique de surface
[Termes IGN] risque naturel
[Termes IGN] segmentation d'imageRésumé : (Auteur) In recent decades, radar and optical satellite imagery have been used for evaluating flooding extent. In this paper, a straightforward technique based on the sequential use of the spectral-temporal principal component analysis, logical filtering, and image segmentation integrated with the digital elevation model was developed as a decisional support tool for the allocations of the resource destined for the flooded areas. The mapping technique was first applied to the catastrophic event that occurred in the Piemonte Region (Italy) in November 1994, which was the worst event of the past century for that region, with 44 casualities and over 2000 homeless. Next, it was applied to the Obion/Forked Deer inundation that occurred in Tennessee (U.S.) between November and December 2001, in which heavy damage to the infrastructure was reported. Two Landsat-5 Thematic Mapper (path 194, row 28/29) and two Landsat-7 Enhanced Thematic Mapper Plus (path 23, row 35) images were processed, two of them collected before and two after the events. The method proposed proved to be an effective approach for evaluating flood extent and for assessing the damage produced by the flooding. An overall accuracy of 85.6%, a user accuracy of 87.5 %, and a producer accuracy of 97.5 % were achieved, and an agreement of 83% between ground measures and remotely sensed data in the estimation of flood water volumes was also achieved on a regional scale. Numéro de notice : A2006-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.859952 En ligne : https://doi.org/10.1109/TGRS.2005.859952 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27817
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 1 (January 2006) . - pp 236 - 243[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06011 RAB Revue Centre de documentation En réserve L003 Disponible Resource management information systems / K.R. Mccloy (2006)
Titre : Resource management information systems : remote sensing, GIS and modelling Type de document : Monographie Auteurs : K.R. Mccloy, Auteur Mention d'édition : 2 Editeur : Londres : Taylor & Francis Année de publication : 2006 Importance : 575 p. Format : 18 x 26 cm - cont. 1 cédérom ISBN/ISSN/EAN : 978-0-415-26340-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] accentuation d'image
[Termes IGN] aide à la décision
[Termes IGN] analyse de groupement
[Termes IGN] analyse visuelle
[Termes IGN] capteur actif
[Termes IGN] capteur passif
[Termes IGN] classification
[Termes IGN] correction atmosphérique
[Termes IGN] données de terrain
[Termes IGN] données localisées
[Termes IGN] estimation statistique
[Termes IGN] gestion des ressources
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] modèle atmosphérique
[Termes IGN] rayonnement électromagnétique
[Termes IGN] restauration d'image
[Termes IGN] SIG 3D
[Termes IGN] système d'information géographique
[Termes IGN] traitement d'imageIndex. décimale : 35.00 Télédétection - généralités Résumé : (Editeur) This new edition brings together a range of material on the geographical and spatial information systems required for the effective management of spatially distributed resources. It build a sound theoretical basis and sets out the principles of remote sensing, image interpretation and processing, GIS, and the use of field data. A new chapter on modeling provides more detail and depth, and additional or significantly enhanced topics include hyperspectral optical data, radar (and its interaction with optical data), vector data, and the conversion between data types and estimation. The book is illustrated with case studies to show the best ways to use the various techniques in practice. Note de contenu : Chapter 1 Introduction
1.1 Goals of this book
1.2 Current starus of resources
1.3 Impact of resource degradation
1.4 Nature of resource degradation
1.5 Nature of resource management
1.6 Nature of Regional resource management information systems
1.7 Geographic information in resource management
1.8 Structure of this book
Chapter 2 Physical principles of remote sensing
2.1 Introduction
2.2 Electromagnetic radiation
2.3 Interaction of radiation with matter
2.4 Passive sensing systems
2.5 Active sensing systems
2.6 Hyperspectral image data
2.7 Hypertemporal image data
2.8 Platforms
2.9 Satellite sensor systems
Chapter 3 Visual interpretation and map reading
3.1 Overview
3.2 Stereoscopy
3.3 Measuring height differences in a stereoscopic pair of photographs
3.4 Planimetric measurements on aerial photographs
3.5 Perception of colour
3.6 Principles of photographic interpretation
3.7 Visual interpretation of images
3.8 Maps and map reading
Chapter 4 Image processing
4.1 Overview
4.2 Statistical considerations
4.3 Pre-processing of image data
4.4 The enhancement of image data
4.5 Analysis of mixtures or end member analysis
4.6 Image classification
4.7 Clustering
4.8 Estimation
4.9 Analysis of hyper-spectral image data
4.10 Analysis of dynamic processes
4.11 Summary
Chapter 5 Use of field data
5.1 The purpose of field data
5.2 Collection of field spectral data
5.3 Use of field data in visual interpretation
5.4 Use of field data in the classification of digital image data
5.5 Stratified random sampling method
5.6 Accuracy assessment
5.7 Summary
Chapter 6 Geographic information systems
6.1 Introduction to geographic information systems
6.2 Data input
6.3 Simple raster data analysis in a GIS
6.4 Vector GIS data analysis functions (Susanne Kickner)
6.5 Data management in a GIS
6.6 Advanced analysis techniques in a Vector GIS - Network modelling (Susanne Kickner)
6.7 Advanced raster analysis techniques in a GIS
6.8 Modelling in a GIS
6.9 Uncertainty in GIS analysis
6.10 Presentation in a GIS
6.11 Three-dimensional GIS
Chapter 7 The analysis and interpretation of vegetation
7.1 Introduction
7.2 Regional vegetation mapping and monitoring
7.3 Signatures of vegetation
7.4 Modelling canopy reflectance
7.5 Estimation of vegetation parameters and status
7.6 Classification of vegetation
7.7 Analysis of vegetation phenology
7.8 Concluding remarks
Chapter 8 The management of spatial resources and decision support
8.1 Introduction
8.2 Nature of management of rural physical resources
8.3 Process of decision making in resource management
8.4 Decision support systems and their role in decision making
8.5 Other project management tools
8.6 Concluding remarksNuméro de notice : 16785 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55243 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 16785-01 35.00 Livre Centre de documentation Télédétection Disponible SdC 2006, Semaine de la connaissance, 26 - 30 juin 2006, Nantes, France, Volume 4. Applications industrielles des technologies de la connaisance ; Pratiques et méthodes de classification du savoir à l'heure d'internet ; Récit et gestion des connaissances ; Représentation et raisonnement sur le temps et l'espace / Mounira Harzallah (2006)PermalinkSemi-automatic rural land cover classification from high-resolution remote sensing images = Classification semi-automatique du terrain en zone rurale par télédétection à haute résolution / Roger Trias-Sanz (2006)PermalinkStatistical analysis of environmental space-time processes / N. Le (2006)PermalinkA supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery / Laurence Boudet (2006)PermalinkPermalinkUtilisation conjointe de données image et laser pour la segmentation et la modélisation 3D / Matthieu Deveau (2006)PermalinkOn possible measures for evaluating the degree of uncertainty of fuzzy thematic maps / C. Ricotta in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkThe recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics / C. Zhu in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkApplication of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA / L. Li in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)PermalinkIntegrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization / J.T. Morris in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)Permalink