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Statistical analysis of environmental space-time processes / N. Le (2006)
Titre : Statistical analysis of environmental space-time processes Type de document : Monographie Auteurs : N. Le, Auteur ; J. Zidek, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2006 Collection : Springer series in statistics, ISSN 0172-7397 Importance : 341 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-387-26209-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spatiale
[Termes IGN] classification bayesienne
[Termes IGN] covariance
[Termes IGN] distribution de Gauss
[Termes IGN] espace-temps
[Termes IGN] interpolation spatiale
[Termes IGN] krigeageRésumé : (Editeur) This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development. Note de contenu : ENVIRONMENTAL PROCESSES
1. First encounters
2. Case study
3. Uncertainty
4. Measurement
5. Modelling
SPACE-TIME MODELING
6. Covariances
7. Spatial prediction: Classical approaches
8. Bayesian kriging
9. Hierarchical bayesian kriging
DESIGN AND RISK ASSESSMENT
10. Multivariate modelling
11. Environmental network design
12. Extremes
IMPLEMENTATION
13. Risk assessment
14. R tutorialNuméro de notice : 20663 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63111 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20663-01 23.60 Livre Centre de documentation Mathématiques Disponible Relating SAR image texture to the biomass of regenerating tropical forests / T.M. Kuplich in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)
[article]
Titre : Relating SAR image texture to the biomass of regenerating tropical forests Type de document : Article/Communication Auteurs : T.M. Kuplich, Auteur ; P.J. Curran, Auteur ; P.M. Atkinson, Auteur Année de publication : 2005 Article en page(s) : pp 4829 - 4854 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande L
[Termes IGN] canopée
[Termes IGN] forêt tropicale
[Termes IGN] image JERS
[Termes IGN] image radar
[Termes IGN] Manaus
[Termes IGN] masse végétale
[Termes IGN] niveau de gris (image)
[Termes IGN] teneur en carbone
[Termes IGN] texture d'image
[Termes IGN] variogrammeRésumé : (Auteur) An accurate global carbon budget requires information on terrestrial carbon sink strength. Regenerating tropical forests are known to be important terrestrial carbon sinks but information on their location, extent and biomass (from which carbon content can be estimated) is incomplete. The use of remotely sensed data in optical wavelengths has been of limited use due to both the weak relationship between optical radiation and forest biomass and near-constant cloud cover in the tropics. L-band Synthetic Aperture Radar (SAR) backscatter, however, is related positively to biomass (but only up to an asymptote of around 40-90T ha-1) and can be obtained independently of cloud cover. Both canopy structure and biomass change over time as pioneer species are replaced by early and late regenerating species. These structural changes are related to an increase in (i) tree height, (ii) tree species richness and (iii) canopy thickness and influence the roughness of the canopy surface and consequently SAR image texture. Therefore, we investigated the degree to which textural information could be used to increase the correlation between image tone (backscatter) and biomass. Field data were used to estimate the biomass of 37 regenerating forests plots in Brazilian Amazonia. Texture measures derived from local statistics, the grey level co-occurrence matrix (GLCM) and the variogram were evaluated using simulated images on the basis of their ability to identify significant differences in image texture independently of image contrast. The selected texture measures were applied to L-band JERS-1 (Japanese Earth Resources Satellite) SAR images and the correlation between backscatter and biomass was determined for regenerating tropical forests. A strong correlation was found for the texture measures and biomass. The ra2 (adjusted coefficient of determination), measuring the correlation between backscatter and biomass, increased from 0.74 to 0.82 with the addition of GLCM-derived contrast. The addition of image texture (GLCM-derived contrast) to image tone (backscatter) potentially increases the accuracy with which JERS-1 SAR data can be used to estimate biomass in tropical forests. Numéro de notice : A2005-469 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500239107 En ligne : https://doi.org/10.1080/01431160500239107 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27605
in International Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4829 - 4854[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05211 RAB Revue Centre de documentation En réserve L003 Disponible Supervised image classification by contextual adaboost based on posteriors in neighborhoods / Ryuei Nishii in IEEE Transactions on geoscience and remote sensing, vol 43 n° 11 (November 2005)
[article]
Titre : Supervised image classification by contextual adaboost based on posteriors in neighborhoods Type de document : Article/Communication Auteurs : Ryuei Nishii, Auteur ; Shinto Eguchi, Auteur Année de publication : 2005 Conférence : IGARSS 2004, International Geoscience And Remote Sensing Symposium, Science for society: exploring and manging a changing planet 20/09/2004 24/09/2004 Anchorage Alaska - Etats-Unis Proceedings IEEE Article en page(s) : pp 2547 - 2554 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] apprentissage automatique
[Termes IGN] axiome de Bayes
[Termes IGN] classification contextuelle
[Termes IGN] classification dirigée
[Termes IGN] géostatistique
[Termes IGN] probabilités
[Termes IGN] segmentation d'imageRésumé : (Auteur) AdaBoost, a machine learning technique, is employed for supervised classification of land-cover categories of geostatistical data. We introduce contextual classifiers based on neighboring pixels. First, posterior probabilities are calculated at all pixels. Then averages of the log posteriors are calculated in different neighborhoods and are then used as contextual classification functions. Weights for the classification functions can be determined by minimizing the empirical risk with multiclass. Finally, a convex combination of classification functions is obtained. The classification is performed by a noniterative maximization procedure. The proposed method is applied to artificial multispectral images and benchmark datasets. The performance of the proposed method is excellent and similar to Markov-random-field-based classifier, which requires an iterative maximization procedure. Numéro de notice : A2005-495 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.848693 En ligne : https://doi.org/10.1109/TGRS.2005.848693 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27631
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 11 (November 2005) . - pp 2547 - 2554[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05111 RAB Revue Centre de documentation En réserve L003 Disponible Comment reproduire le MNT d'une rivière ensablée ? / B. Federici in Géomatique expert, n° 44 (01/06/2005)
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Titre : Comment reproduire le MNT d'une rivière ensablée ? Type de document : Article/Communication Auteurs : B. Federici, Auteur ; Domenico Sguerso, Auteur Année de publication : 2005 Article en page(s) : pp 32 - 41 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] altitude
[Termes IGN] anisotropie
[Termes IGN] courant fluvial
[Termes IGN] cours d'eau
[Termes IGN] covariance
[Termes IGN] crue
[Termes IGN] données de terrain
[Termes IGN] GRASS
[Termes IGN] interpolation
[Termes IGN] krigeage
[Termes IGN] lever topographique
[Termes IGN] lit
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle stochastique
[Termes IGN] modélisation 3D
[Termes IGN] sable
[Termes IGN] variogrammeRésumé : (Auteur) Le but principal de bon nombre de recherches est d'observer un territoire par différentes méthodes, et de le modéliser. Dans le domaine de la modélisation tridimensionnelle, il existe beaucoup de méthodes différentes : chacun s'applique à un cas particulier, selon le type d'étude, le type de terrain, la précision, etc. Fréquemment, l'on cherche à s'appuyer sur une méthode à la fois efficace et économique. Le lit des rivières ensablées est l'une des configurations susceptibles d'analyse. Numéro de notice : A2005-253 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27389
in Géomatique expert > n° 44 (01/06/2005) . - pp 32 - 41[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-05041 RAB Revue Centre de documentation En réserve L003 Disponible Delaunay triangulation structured kriging for surface interpolation / Yaron Felus in Surveying and land information science, vol 65 n° 1 (01/03/2005)
[article]
Titre : Delaunay triangulation structured kriging for surface interpolation Type de document : Article/Communication Auteurs : Yaron Felus, Auteur ; A. Saaled, Auteur ; Burkhard Schaffrin, Auteur Année de publication : 2005 Article en page(s) : pp 27 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] analyse comparative
[Termes IGN] Antarctique
[Termes IGN] champ géomagnétique
[Termes IGN] erreur moyenne quadratique
[Termes IGN] interpolation linéaire
[Termes IGN] krigeage
[Termes IGN] système d'information géographique
[Termes IGN] Triangulated Irregular Network
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) Surface interpolation is an essential tool in surveying and geographical information systems projects. For example, given a list of observations (e.g. elevations, gravity or magnetic field values, and underground-water levels), a prediction of a value at an unobserved location is made. Surveyors and engineers commonly use Triangulated Irregular Network (TIN) based linear interpolation for surface interpolation. TIN interpolation is computationally very efficient, utilizing a Delaunay triangulation algorithm and simple mathematical function. However, the TIN method uses only three local data points. Therefore, it is often less accurate and will yield a higher Mean Square Prediction Error (MSPE). Kriging is a relatively new, accurate interpolation method which yields a smaller Mean Square Prediction Error (MSPE). Nevertheless, kriging is computationally inefficient and requires the inversion of an nxn matrix where n is the number of data points. A unique approach is presented here that combines these two techniques such that the Delaunay triangulation data-structure is used to determine the interpolation neighborhood of a kriging prediction process. The new TIN-based kriging algorithm is used to interpolate aeromagnetic data for a geographical information system developed in West Antarctica. A comparison is made between global kriging, TIN linear interpolation, and the TIN-structured kriging. Numéro de notice : A2005-284 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27420
in Surveying and land information science > vol 65 n° 1 (01/03/2005) . - pp 27 - 36[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 121-05011 RAB Revue Centre de documentation En réserve L003 Disponible Quality assessment and improvement of temporally composite products of remote sensed imagery by combination of Vegetation 1 and 2 images / Olivier Hagolle in Remote sensing of environment, vol 94 n° 2 (30/01/2005)PermalinkPermalinkStatistique spatiale / Jean-Marc Zaninetti (2005)PermalinkCartographie "quasi-temps réel" de la pollution par l'ozone / G. Causera in Géomatique expert, n° 38 (01/11/2004)PermalinkThe discontinuous nature of kriging interpolation for digital terrain modelling / Thomas H. Meyer in Cartography and Geographic Information Science, vol 31 n° 4 (October 2004)PermalinkCartographie de la fraction argileuse du sol dans le rif marocain à l'aide du capteur ASTER et de l'analyse géostatique / M. Chikhaoui in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkMapping the atmospheric water vapor by integrating microwave radiometer and GPS measurements / P. Basili in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)PermalinkUsing quadtree segmentation to support error modelling in categorical raster data / S. De Bruin in International journal of geographical information science IJGIS, vol 18 n° 2 (march 2004)PermalinkPermalinkImage numérique couleur, de l'acquisition au traitement / Alain Trémeau (2004)Permalink