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Mapping fuels at the wildland-urban interface using colour ortho-images and Lidar data / Melissa F. Rosa in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)  

Public [article]  inGeocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 570-588 Titre : Mapping fuels at the wildland-urban interface using colour ortho-images and Lidar data Type de document : Article/Communication Auteurs : Melissa F. Rosa, Auteur ; Douglas A. Stow, Auteur Année de publication : 2014 Article en page(s) : pp 570-588 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] biomasse (combustible) [Termes IGN] carte thématique [Termes IGN] classification orientée objet [Termes IGN] combustible [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] fusion de données [Termes IGN] incendie [Termes IGN] orthoimage [Termes IGN] orthoimage couleur [Termes IGN] San Diego [Termes IGN] simulation Résumé : (auteur) Fuel type mapping of the wildland-urban interface (WUI) in support of fire spread simulation modelling should include both natural and urban features. The objective of this study was to evaluate the utility of (1) Light Detection and Ranging (LiDAR) structural data, (2) ortho-image data and (3) a combination of both as input to an object-based classification approach for mapping fuels within two WUI areas in San Diego, California. A separability analysis was utilized to determine the surface topographical and spectral layers most influential for discriminating WUI fuels. An accuracy assessment revealed that the combination of LiDAR and ortho-image data inputs substantially increased classification accuracy by 20–30% and achieved overall accuracies > 80%. Results from the study provide knowledge on how reliable fuel types within the WUI can be mapped using high-resolution LiDAR and ortho-image data while presenting new insights into fuel type mapping. Numéro de notice : A2014-417 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.819040 En ligne : https://doi.org/10.1080/10106049.2013.819040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73951 [article]

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