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A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery / Jonathan Lisein in Forests, vol 4 n° 4 (december 2013)  

Public [article]  inForests > vol 4 n° 4 (december 2013) . - pp 922 - 944 Titre : A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery Type de document : Article/Communication Auteurs : Jonathan Lisein , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Stéphanie Bonnet, Auteur ; Philippe Lejeune, Auteur Année de publication : 2013 Article en page(s) : pp 922 - 944 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] drone [Termes IGN] feuillu [Termes IGN] houppier [Termes IGN] image aérienne [Termes IGN] MicMac [Termes IGN] modèle numérique de surface de la canopée [Termes IGN] régression linéaire [Termes IGN] structure-from-motion Résumé : (auteur) The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order to model the forest canopy surface from low-altitude aerial images. An original workflow, using the open source and free photogrammetric toolbox, MICMAC (acronym for Multi Image Matches for Auto Correlation Methods), was set up to create a digital canopy surface model of deciduous stands. In combination with a co-registered light detection and ranging (LiDAR) digital terrain model, the elevation of vegetation was determined, and the resulting hybrid photo/LiDAR canopy height model was compared to data from a LiDAR canopy height model and from forest inventory data. Linear regressions predicting dominant height and individual height from plot metrics and crown metrics showed that the photogrammetric canopy height model was of good quality for deciduous stands. Although photogrammetric reconstruction significantly smooths the canopy surface, the use of this workflow has the potential to take full advantage of the flexible revisit period of drones in order to refresh the LiDAR canopy height model and to collect dense multitemporal canopy height series. Numéro de notice : A2013-819 Affiliation des auteurs : ENSG+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f4040922 Date de publication en ligne : 06/11/2013 En ligne : http://dx.doi.org/10.3390/f4040922 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80977 [article]