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Auteur B. Lehrbass |
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Urban tree cover mapping with relief-corrected aerial imagery and lidar / B. Lehrbass in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)
[article]
Titre : Urban tree cover mapping with relief-corrected aerial imagery and lidar Type de document : Article/Communication Auteurs : B. Lehrbass, Auteur ; Jing Wang, Auteur Année de publication : 2012 Article en page(s) : pp 473 - 484 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] arbre urbain
[Termes IGN] carte de la végétation
[Termes IGN] classification orientée objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] flore urbaine
[Termes IGN] fusion d'images
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] Ontario (Canada)
[Termes IGN] orthoimage
[Termes IGN] précision de la classification
[Termes IGN] zone urbaineRésumé : (Auteur) Urban tree canopy cover is often mapped by classifying high-resolution multispectral imagery. However, it can be difficult to differentiate low-lying vegetation from tree cover using optical data alone. Combining a lidar-derived Normalized Digital Surface Model (ndsm) improves classification accuracy, but the optical imagery is often imperfectly aligned with the NDSM. Aerial imagery is normally orthorectified using the ground elevation. However, tall objects in the orthorectified imagery still suffer from relief displacement. This can cause classification errors when lidar and the aerial imagery are combined. This study presents an approach for urban tree cover mapping composed of two parts: a method for correcting the relief displacement of trees in previously orthorectified aerial imagery, and an object-based classification method which combines relief-corrected multispectral aerial imagery with a lidar-derived NDSM. Using these methods, the tree cover was mapped for a 1,600 ha region of London, Ontario, Canada with improved positional and classification accuracy. Numéro de notice : A2012-233 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.5.473 En ligne : https://doi.org/10.14358/PERS.78.5.473 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31679
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 5 (May 2012) . - pp 473 - 484[article]