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Integrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 13 (July 2004) . - pp 2625 - 2639 Titre : Integrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney Type de document : Article/Communication Auteurs : S. Bhaskaran, Auteur ; B. Datt, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2625 - 2639 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] classification spectrale [Termes IGN] correction d'image [Termes IGN] dommage matériel [Termes IGN] géoréférencement [Termes IGN] gestion de crise [Termes IGN] grêle [Termes IGN] habitat urbain [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] intégration de données [Termes IGN] précipitation [Termes IGN] réalité de terrain [Termes IGN] résistance des matériaux [Termes IGN] risque naturel [Termes IGN] Sydney (Nouvelle-Galles du Sud) [Termes IGN] système d'information géographique [Termes IGN] vulnérabilité Résumé : (Auteur) This paper demonstrates a methodology for the analysis and integration of airborne hyperspectral sensor data (445-2543nm) with GIS data in order to develop a vulnerability map which has the potential to assist in decision making during post-disaster emergency operations. Hailstorms pose a threat to people as well as property in Sydney, Australia. Emergency planning demands current, large-scale spatio-temporal information on urban areas that may be susceptible to hailstones. Several regions, dominated by less resistant roofing materials, have a higher vulnerability to hailstorm damage than others. Post-disaster operations must focus on allocating dynamic resources to these areas. Remote sensing data, particularly airborne hyperspectral sensor data, consist of spectral bands with narrow bandwidths, and have the potential to quantify and distinguish between urban features such as roofing materials and other man-made features. A spectral library of surface materials from urban areas was created by using a full range spectroradiometer. The image was atmospherically corrected using the empirical line method. A spectral angle mapper (SAM) method, which is an automated method for comparing image spectra to laboratory spectra, was used to develop a classification map that shows the distribution of roofing materials with different resistances to hailstones. Surface truthing yielded high percentage accuracy. Spatial overlay technique was performed in a GIS environment where several types of cartographic data such as special hazard locations, population density, data about less mobile people and the street network were overlaid on the classified geo-referenced hyperspectral image. The integrated database product, which merges high quality spectral information and cartographic GIS data, has vast potential to assist emergency organizations, city planners and decision makers in formulating plans and strategies for resource management. Numéro de notice : A2004-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001642331 En ligne : https://doi.org/10.1080/01431160310001642331 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26788 [article]

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