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Auteur T. Rashed |
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Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas / T. Rashed in International journal of geographical information science IJGIS, vol 17 n° 6 (september 2003)
[article]
Titre : Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas Type de document : Article/Communication Auteurs : T. Rashed, Auteur ; J. Weeks, Auteur Année de publication : 2003 Article en page(s) : pp 547 - 576 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] incertitude des données
[Termes IGN] logique floue
[Termes IGN] Los Angeles
[Termes IGN] milieu urbain
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] vulnérabilitéRésumé : (Auteur) Assessing urban vulnerability to natural hazards such as earthquakes can be regarded as an ill-structured problem (i.e. a problem for which there is no unique, identifiable, objectively optimal solution). A review of the literature indicates a number of contrasting definitions of what vulnerability means, as well as numerous conflicting perspectives on what should or should not be included within the broad assessment of vulnerability in cities. This paper reports on the findings from a project in which a GIS methodology has been developed to assess urban vulnerability through a spatial analytical procedure. First, we highlight the deficiencies of current GIS approaches to urban vulnerability analysis and discuss the ill-structured nature of the vulnerability problem. We then propose a working definition for vulnerability assessment in which vulnerability is thought of as a spatial decision problem under the conditions of uncertainty. Next, we present a methodology to incorporate this definition into a GIS framework that combines elements from the techniques of spatial multicriteria analysis and fuzzy logic. The application of this methodology is then illustrated with a case study from Los Angeles County. The results suggest that the proposed methodology may provide a new approach for analyzing vulnerability that can add to our understanding of human/hazards interaction. Numéro de notice : A2003-197 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/1365881031000114071 En ligne : https://doi.org/10.1080/1365881031000114071 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22493
in International journal of geographical information science IJGIS > vol 17 n° 6 (september 2003) . - pp 547 - 576[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-03061 RAB Revue Centre de documentation En réserve L003 Disponible 079-03062 RAB Revue Centre de documentation En réserve L003 Disponible Measuring the physical composition of urban morphology using multiple endmember spectral mixture models / T. Rashed in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Measuring the physical composition of urban morphology using multiple endmember spectral mixture models Type de document : Article/Communication Auteurs : T. Rashed, Auteur ; J.R. Weeks, Auteur ; J. Rogan, Auteur ; R.W. Powell, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1011 - 1020 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image Landsat-TM
[Termes IGN] Los Angeles
[Termes IGN] méthode robuste
[Termes IGN] morphologie mathématique
[Termes IGN] pixelNuméro de notice : A2003-231 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.1011 En ligne : https://doi.org/10.14358/PERS.69.9.1011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22526
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1011 - 1020[article]Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt / T. Rashed in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)
[article]
Titre : Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt Type de document : Article/Communication Auteurs : T. Rashed, Auteur ; J.R. Weeks, Auteur ; M.S. Gadalla, Auteur ; A. Hill, Auteur Année de publication : 2001 Article en page(s) : pp 5 - 15 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse spectrale
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] Egypte
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] occupation du solRésumé : (Auteur) This paper examines the feasibility of spectral mixture analysis (SMA) in deriving comparable physical measures of urban land cover that describe the morphological characteristics of cities. SMA offers a way of analyzing satellite imagery of urban areas that may be superior to more standard methods of classification. Mixing models are based on the assumption that the remotely measured spectrum of a given pixel can be modeled as a combination of pure spectra, called endmembers. SMA, using four image endmembers (vegetation, impervious surface, soil, and shade), was applied to an IRS-1C multispectral image in order to extract measures that describe the anatomy of the Greater Cairo region, Egypt, in terms of endmember fractions. The resulting fractions were then used to classify the urban scene into eight classes of natural and human-built features through a decision tree (DT) classifier. The accuracy of the DT classification was compared to the accuracies of two per-pixel supervised classifications of the IRS-1C image employing maximum likelihood (ML) and minimum distance-to-means (MDM) classifiers. Overall KAPPA accuracies were 0. 88 for the DT classification based on SMA fractions, and 0.60 and 0.45 for the classifications conducted through ML and MDM respectively. Numéro de notice : A2002-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040108542210 En ligne : https://doi.org/10.1080/10106040108542210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21955
in Geocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 5 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-01041 RAB Revue Centre de documentation En réserve L003 Disponible