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Integrating fine scale information in super-resolution land-cover mapping / A. Boucher in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)
[article]
Titre : Integrating fine scale information in super-resolution land-cover mapping Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; P.C. Kyriakidis, Auteur Année de publication : 2007 Article en page(s) : pp 913 - 921 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse infrapixellaire
[Termes IGN] carte d'occupation du sol
[Termes IGN] krigeage
[Termes IGN] limite de résolution géométrique
[Termes IGN] variogrammeRésumé : (Auteur) Super-resolution or sub-pixel class mapping is the task of providing fine spatial resolution maps of, for example, landcover classes, from satellite sensor measurements obtained at a coarser spatial resolution. Often, the only information available consists of coarse class fraction data, typically obtained through spectral unmixing. This paper shows how to integrate, in addition to such coarse fractions, class labels at a set of fine pixels obtained independent of the satellite sensor measurements. The integration of such fine spatial resolution information is achieved within the Indicator Kriging formalism in either a prediction or simulation mode. The spatial dissimilarity or texture of class labels at the fine (target) resolution is quantified in a non-parametric way from an analog scene using a set of experimental indicator semivariogram maps. The output of the proposed procedure consists of maps of probabilities of class occurrence, or of a series of simulated class maps characterizing the inherent spatial uncertainty in the super-resolution mapping process. Numéro de notice : A2007-370 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.8.913 En ligne : http://dx.doi.org/10.14358/PERS.73.8.913 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28733
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 8 (August 2007) . - pp 913 - 921[article]Dasymetric modelling of small-area population distribution using land cover and light emissions data / D.J. Briggs in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
[article]
Titre : Dasymetric modelling of small-area population distribution using land cover and light emissions data Type de document : Article/Communication Auteurs : D.J. Briggs, Auteur ; J. Gulliver, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 451 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Corine Land Cover
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données statistiques
[Termes IGN] figuration de la densité
[Termes IGN] flux lumineux
[Termes IGN] image DMSP-OLS
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Despite the improvements made in census procedures over recent decades, the availability of detailed population data is limited. For many applications, including environmental and health analyses, methods are therefore needed to model population distribution at the small-area level. With the development of GIS and remote sensing techniques, the ability to develop such models has greatly improved. This paper describes a GIS-based approach using remotely sensed land cover and nighttime light emissions data to model population distribution at the land parcel level across the European Union. Light emission data from the DMSP satellites were first resampled and modelled using kriging and inverse distance weighting methods to provide a 200-m resolution light emissions map. This was then matched to CORINE land cover classes across the EU. Regression methods were used to derive models of relationships between census population counts (at NUTS 5 level) and land cover area and light emissions. Models were developed at both national and EU scale, using a range of different modelling strategies. Model performance, as indicated by the regression statistics, was seen to be good, with R2 typically in the order of 0.8–0.9 and SEE ca. 4000 people. In southern countries, especially, incorporation of light emissions data was found to improve model performance considerably compared to models based only on land cover data. More detailed post hoc validation in Great Britain, using independent data on population at census tract (enumeration district and output area) and postcode level, for 1991 and 2001, showed that models gave good predictions of population at the 1 km level (R2 > 0.9), but were less reliable at resolutions below ca. 500 m. Impending enhancements in the available land cover and light emissions data are expected to improve the capability of this modelling approach in the future. Numéro de notice : A2007-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.020 En ligne : https://doi.org/10.1016/j.rse.2006.11.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28663
in Remote sensing of environment > vol 108 n° 4 (29 June 2007) . - pp 451 - 466[article]Patterns in soil quality: Natural geochemical variability versus anthropogenic impact in soils of Zeeland, The Netherlands / P.F.M. Van Gaans in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
[article]
Titre : Patterns in soil quality: Natural geochemical variability versus anthropogenic impact in soils of Zeeland, The Netherlands Type de document : Article/Communication Auteurs : P.F.M. Van Gaans, Auteur ; J. Spijker, Auteur ; S.P. Vriend, Auteur ; J.N. de Jong, Auteur Année de publication : 2007 Article en page(s) : pp 569 - 587 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] anthropisation
[Termes IGN] Argile
[Termes IGN] carte géologique
[Termes IGN] contamination
[Termes IGN] état du sol
[Termes IGN] géochimie
[Termes IGN] géostatistique
[Termes IGN] impact sur l'environnement
[Termes IGN] Pays-Bas
[Termes IGN] roche sédimentaire
[Termes IGN] sous-solRésumé : (Auteur) We demonstrate a structured approach to identify natural as well as anthropogenic geochemical patterns in sedimentary soils, using statistical techniques that increase in complexity and the requirements for auxiliary data. Comparison with the average upper continental crust identified natural regional features, such as a relative enrichment of As, due to a low-lying deltaic environment, and of Cr and Zr, related to a specific heavy mineral association. Identification of diffuse contamination is best achieved by comparison with a local reference. The Zeeland subsoil is shown to have undergone only minor anthropogenic influence and to serve this purpose very well. A topsoil-subsoil comparison revealed anthropogenic enrichments for Cd, Cu, P, Pb, S, Sb, Sn, Zn, and partly for As, while typically 'non-anthropogenic' trace elements like Cs, Ga, La, and Rb were found not to be enriched. Except for P and S, the enriched components show a good correlation with Al2Oi, a proxy for clay mineralogy, and a bivariate topsoil-subsoil comparison is made using a trimmed Reduced Major Axis regression. Two subregions are identified with different associations (Zn, Pb, and Cd, versus As, Cd, Cu, and Sn) of higher-than-average enrichments. Copyright Taylor & Francis Numéro de notice : A2007-137 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601064900 En ligne : https://doi.org/10.1080/13658810601064900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28500
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 569 - 587[article]Réservation
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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 Evaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG / Noamen Rebaï in XYZ, n° 110 (mars - mai 2007)
[article]
Titre : Evaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG Type de document : Article/Communication Auteurs : Noamen Rebaï, Auteur ; Tarek Slama, Auteur ; M.M. Turki, Auteur Année de publication : 2007 Article en page(s) : pp 19 - 28 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse spatiale
[Termes IGN] données topographiques
[Termes IGN] données vectorielles
[Termes IGN] estimation statistique
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] modèle numérique de terrain
[Termes IGN] système d'information géographiqueRésumé : (Auteur) La vraie puissance du Système d'Information Géographique (SIG) réside dans l'analyse de l'information spatiale. Cette dernière nécessite le paramétrage de la continuité spatiale ainsi qu'un suivi de régularité surfacique qui ne peut être assuré que par interpolation. Cet article présente une approche méthodologique quantitative pour l'évaluation de six méthodes d'interpolation utilisées dans la production d'un Modèle Numérique de Terrain (MNT) à partir de données topographiques vectorielles dans un SIG. Divers paramètres statistiques sont utilisés et analysés pour évaluer ces méthodes et déterminer le ou les meilleurs interpolateurs. Copyright AFT Numéro de notice : A2007-083 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28448
in XYZ > n° 110 (mars - mai 2007) . - pp 19 - 28[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 112-07011 RAB Revue Centre de documentation En réserve L003 Disponible Local statistical spatial analysis [LoSSA]: Inventory and prospect / B. Boots in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)
[article]
Titre : Local statistical spatial analysis [LoSSA]: Inventory and prospect Type de document : Article/Communication Auteurs : B. Boots, Auteur ; Atsuyuki Okabe, Auteur Année de publication : 2007 Article en page(s) : pp 355 - 375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatiale
[Termes IGN] exploration de données géographiques
[Termes IGN] géostatistique
[Termes IGN] jeu de données localiséesRésumé : (Auteur) The past decade has witnessed extensive development of measures that examine characteristics of spatial subsets (local spaces) defined with respect to a complete data set (global space). Such procedures have evolved independently in fields such as geography, GIS, cartography, remote sensing, and landscape ecology. Collectively, we label these procedures as local spatial methods. We focus on those methods that share a common goal of identifying subsets whose characteristics are statistically 'significant' in some way. We propose the concept of local spatial statistical analysis (LoSSA) both as an integrative structure for existing methods and as a framework that facilitates the development of new local and global statistics. By formalizing what is involved when a particular local statistic is used, LoSSA helps to reveal the key features and limitations of the procedure. These include a consideration of the nature of the spatial subsets, their spatial relationship to the complete data set, and the relationship between a given global statistic and the corresponding local statistics computed for the data set. Copyright Taylor & Francis Numéro de notice : A2007-116 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601034267 En ligne : https://doi.org/10.1080/13658810601034267 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28479
in International journal of geographical information science IJGIS > vol 21 n° 3-4 (march - april 2007) . - pp 355 - 375[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07021 RAB Revue Centre de documentation En réserve L003 Disponible 079-07022 RAB Revue Centre de documentation En réserve L003 Disponible Raster-network regionalization for watershed data processing / T.L. Whiteaker in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)PermalinkAutomatic extraction and classification of vegetation areas from high resolution images in urban areas / Corina Iovan (2007)PermalinkA novel method for mapping land cover changes: Incorporating time and space with geostatistics / A. Boucher in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 2 (November 2006)PermalinkModel-based prediction error uncertainty estimation for K-NN method / H.J. Kim in Remote sensing of environment, vol 104 n° 3 (15/10/2006)PermalinkSuper-resolution land cover mapping with indicator geostatistics / A. Boucher in Remote sensing of environment, vol 104 n° 3 (15/10/2006)PermalinkResolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkQuantifying spatial heterogeneity at the landscape scale using variogram models / S. Garrigues in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkUrban land-use classification using variogram-based analysis with an aerial photograph / S.S. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)PermalinkDeriving ground surface digital elevation models from Lidar data with geostatistics / C.D. Lloyd in International journal of geographical information science IJGIS, vol 20 n° 5 (may 2006)PermalinkPermalink