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Assessment of wildfire risk in Lebanon using geographic object-based image analysis / George Mitri in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 6 (June 2015) . - pp 499 - 506 Titre : Assessment of wildfire risk in Lebanon using geographic object-based image analysis Type de document : Article/Communication Auteurs : George Mitri, Auteur ; Mireille Jazi, Auteur ; David McWethy, Auteur Année de publication : 2015 Article en page(s) : pp 499 - 506 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image orientée objet [Termes IGN] biomasse (combustible) [Termes IGN] carte thématique [Termes IGN] incendie de forêt [Termes IGN] Liban [Termes IGN] objet géographique [Termes IGN] prévention des risques [Termes IGN] risque naturel [Termes IGN] vulnérabilité Résumé : (auteur) During the past decade, Lebanon has experienced a large number of severe wildfires that have had significant social and ecological consequences. In this context, the assessment of wildfire risk is important to support planning of fire prevention measures and risk mitigation. The purpose of this study was to assess the spatial distribution of wildfire risk in Lebanon. The objectives were to identify and map (a) wildfire hazard, (b)wildfire vulnerability, and (c) wildfire risk. We developed a model using geospatial biophysical and climatic data and Geographic Object-Based Image Analysis (GEOBIA). Development of the wildfire hazard map included classification of forest fuel type, combustibility, and fire spread whereas the vulnerability map included classification of demographic vulnerability (i.e., boundary, occupation and scatter indicators) and forest vulnerability (i.e., environmental and replacement values). The resulting geospatial map of wildfire risk provided important information for potential use in fire risk management. Numéro de notice : A2015-980 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.6.499 En ligne : https://doi.org/10.14358/PERS.81.6.499 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80063 [article]