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Built-up and vegetation extraction and density mapping using WorldView-II / A. Kumar in Geocarto international, vol 27 n° 7 (November 2012)  

Public [article]  inGeocarto international > vol 27 n° 7 (November 2012) . - pp 557 - 568 Titre : Built-up and vegetation extraction and density mapping using WorldView-II Type de document : Article/Communication Auteurs : A. Kumar, Auteur ; A. Chandra Pandrey, Auteur ; A. Jeyaseelan, Auteur Année de publication : 2012 Article en page(s) : pp 557 - 568 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse en composantes principales [Termes IGN] bande infrarouge [Termes IGN] bande rouge [Termes IGN] carte d'occupation du sol [Termes IGN] densité de population [Termes IGN] détection du bâti [Termes IGN] extraction de la végétation [Termes IGN] image Worldview [Termes IGN] Normalized Difference Vegetation Index Résumé : (Auteur) This study demonstrates the use of high resolution WorldView-II satellite data in extraction of built-up land and vegetation using normalized index techniques. The PCA 1 and NIR 2 bands-based built-up index was proposed for extracting built-up land, which exhibit high accuracy. The normalized difference vegetation index based on Red Edge and NIR 2 bands of WorldView-II produced high accuracy in the estimation of vegetation compared to the use of Red and NIR bands. The grid technique used in estimating built-up and vegetation density from precisely classified images provided better and accurate assessment of built-up and vegetation density in heterogeneous landscape of urban areas. This shows areas of very high to high built-up density are located in the central, western and southern parts, which are primarily devoid of vegetation. This study indicates possibilities of utilizing high resolution satellite data in urban landscape characterization using a grid-based technique. Numéro de notice : A2012-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657695 Date de publication en ligne : 23/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31988 [article]

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059-2012071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Designing a 3D model for the prediction of the top of formation in oil fields using geostatistical methods / M. Abdideh in Geocarto international, vol 27 n° 7 (November 2012)  

Public [article]  inGeocarto international > vol 27 n° 7 (November 2012) . - pp 569 - 579 Titre : Designing a 3D model for the prediction of the top of formation in oil fields using geostatistical methods Type de document : Article/Communication Auteurs : M. Abdideh, Auteur ; D. Bargahi, Auteur Année de publication : 2012 Article en page(s) : pp 569 - 579 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] estimation statistique [Termes IGN] géostatistique [Termes IGN] Iran [Termes IGN] krigeage [Termes IGN] modélisation 3D [Termes IGN] pétrole [Termes IGN] variogramme Résumé : (Auteur) The importance of hydrocarbon resources is known worldwide and access to liquid and gas hydrocarbon resources is only possible through drilling various geological formations. Drilling engineers' knowledge about subsurface conditions of oil-rich regions of Iran is only based on experience and quantitative assessment of geological and drilling reports. Using geostatistical methods, the qualitative experience can be converted into a quantitative one and a better result can be obtained. Asmari Formation is of great importance for drilling operations because most of the oil reservoirs in the southern parts of Iran are located in this formation. In this article, the geostatistical methods were used to build a three-dimensional (3D) model to determine the top of Asmari Formation. Data from 80 wells drilled in one oil field in southern Iran were prepared and analysed in order to build the 3D model of the top of Asmari Formation. Numéro de notice : A2012-543 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657695 Date de publication en ligne : 23/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31989 [article]

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059-2012071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping malaria severity zones with Nigeriasat-1 incorporated into geographical information system / E. Ogunbadewa in Geocarto international, vol 27 n° 7 (November 2012)  

Public [article]  inGeocarto international > vol 27 n° 7 (November 2012) . - pp 593 - 610 Titre : Mapping malaria severity zones with Nigeriasat-1 incorporated into geographical information system Type de document : Article/Communication Auteurs : E. Ogunbadewa, Auteur Année de publication : 2012 Article en page(s) : pp 593 - 610 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse discriminante [Termes IGN] carte thématique [Termes IGN] données environnementales [Termes IGN] image NigeriaSat [Termes IGN] maladie parasitaire [Termes IGN] maladie tropicale [Termes IGN] Nigéria [Termes IGN] risque sanitaire [Termes IGN] surveillance sanitaire [Termes IGN] système d'information géographique [Termes IGN] zone à risque Résumé : (Auteur) The aim of this study is to derive environmental factors that are likely to influence malarial distribution from Nigeriasat-1 in a geographical information systems (GIS) environment and relate it to the empirical evidence of reported malarial cases in the hospitals using discriminant analysis (DA) to characterize, identify and map malarial risk zones. It is found that using a stepwise DA, Nigeriasat-1 and GIS it is possible to classify the accurately the low malarial risk zone (100%), medium and high risk zones (83.33%), with an overall accuracy of 88.9% being achieved for the study area. The results obtained were in agreement with the ground validation exercise that was carried out and the cross validation method of ‘‘leaving-one-out’ in DA function. These findings indicate that Nigeriasat-1 and GIS combined with statistical technique of DA can be utilized as a decision support tool for a precise identification of the areas warranting mitigation efforts. Numéro de notice : A2012-544 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.653407 Date de publication en ligne : 01/02/2012 En ligne : https://doi.org/10.1080/10106049.2011.653407 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31990 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2012071	RAB	Revue	Centre de documentation	En réserve L003	Disponible