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Auteur Jari Vauhkonen |
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Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data / Jari Vauhkonen in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)
[article]
Titre : Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur Année de publication : 2010 Conférence : Silvilaser 2008, 8th international conference on Lidar applications in forest assessment and inventory 17/09/2008 19/09/2008 Edimbourg Royaume-Uni Proceedings Taylor&Francis Article en page(s) : pp 1213 - 1226 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] croissance des arbres
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] géomètrie algorithmique
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] lasergrammétrie
[Termes IGN] modélisation 3D
[Termes IGN] Pinus sylvestris
[Termes IGN] régression linéaire
[Termes IGN] sylviculture
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) Crown base height (CBH) is an important factor in relation to several characteristics of the tree stock. This paper introduces approaches for estimating tree-level CBH from airborne laser scanning (ALS) data that make use of features of computational geometry. For that purpose, the concepts of Delaunay triangulations and alpha shapes were applied and compared with approaches based on analysing return frequencies and predicting CBH by linear regression. These approaches were evaluated using test data on a total of 185 Scots pine trees, of which 136 were of sawlog size, that were detected and delineated from ALS data with a density of approximately 4 returns m-2. The results suggest that variables based on the frequencies of crown returns within predefined height bins are the most accurate for estimating CBH. By combining the best CBH estimate with the estimated tree height in linear regression, a root mean squared error (RMSE) of 1.4 m (14%) was achieved when all study trees were considered. The estimation was generally less accurate for the trees smaller than those of sawlog size. Although the accuracy of estimating CBH is lower using the three-dimensional (3D) geometry approaches presented here, they are considered to have potential for further development. Numéro de notice : A2010-252 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903380615 En ligne : https://doi.org/10.1080/01431160903380615 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30446
in International Journal of Remote Sensing IJRS > vol 31 n° 5 (March 2010) . - pp 1213 - 1226[article]Exemplaires(1)
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