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People, pixels and weights in Vanderburgh County, Indiana: toward a new urban geography of human-environment interactions / E.W. Lafary in Geocarto international, vol 23 n° 1 (February - March 2008)  

Public [article]  inGeocarto international > vol 23 n° 1 (February - March 2008) . - pp 53 - 66 Titre : People, pixels and weights in Vanderburgh County, Indiana: toward a new urban geography of human-environment interactions Type de document : Article/Communication Auteurs : E.W. Lafary, Auteur ; J.D. Gatrell, Auteur ; R.J. Jensen, Auteur Année de publication : 2008 Article en page(s) : pp 53 - 66 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] données socio-économiques [Termes IGN] environnement [Termes IGN] géographie urbaine [Termes IGN] Indiana (Etats-Unis) [Termes IGN] interaction homme-milieu [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] régression géographiquement pondérée [Termes IGN] système d'information géographique Résumé : (Auteur) This research examines the social-spatial dynamics of human-environment interactions in Evansville, Indiana, USA as well as the surrounding Vanderburgh County. Employing geographically weighted regression, this paper models the observed relationship between the Normalized Difference Vegetation Index (NDVI) and key sociodemographic parameters (housing value, median household income, percent of residents in poverty, population density and percent of population white). Further, this paper demonstrates that geographically weighted regression utilized within a GISci framework can be effectively used to visualize urban human-environment interactions and that the spatial distribution of environmental resources co-varies with socioeconomic conditions. Finally, the paper demonstrates that greenness indicators derived from remote sensing data can be used as proxy measures for observed sociodemographic variables. Copyright Taylor & Francis Numéro de notice : A2008-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701494575 Date de publication en ligne : 06/12/2007 En ligne : https://doi.org/10.1080/10106040701494575 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29016 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-08011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data / H.s Srivastava in Geocarto international, vol 23 n° 1 (February - March 2008)  

Public [article]  inGeocarto international > vol 23 n° 1 (February - March 2008) . - pp 67 - 77 Titre : Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data Type de document : Article/Communication Auteurs : H.s Srivastava, Auteur ; P. Patel, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 67 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] distribution spatiale [Termes IGN] données polarimétriques [Termes IGN] image Envisat-ASAR [Termes IGN] polarimétrie radar [Termes IGN] polarisation [Termes IGN] radargrammétrie [Termes IGN] rétrodiffusion [Termes IGN] rugosité du sol Résumé : (Auteur) Spatial distribution of surface roughness is very critical information for many application areas. Surface roughness is often characterized using statistical distribution. However, due to the huge complexity associated with spatial soil surfaces it is difficult to accurately characterize surface roughness over large areas using statistical distribution. Surface roughness influences SAR backscatter significantly and therefore for bare soil surfaces, surface roughness plays a critical role in determining the degree of depolarization of the SAR signal. In this paper, surface roughness is retrieved using multi-polarized Envisat-1 ASAR data. The depolarization ratio [ó°VH - ó°VV] has been found to be very sensitive to surface roughness. This study demonstrates an approach that can be used to retrieve quantitative surface roughness values from a space platform without making any assumptions regarding distribution of surface roughness on the ground. Copyright Taylor & Francis Numéro de notice : A2008-022 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701538157 Date de publication en ligne : 06/12/2007 En ligne : https://doi.org/10.1080/10106040701538157 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29017 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-08011	RAB	Revue	Centre de documentation	En réserve L003	Disponible