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Proceedings Paper

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS
Author(s): Heikki Salo; Ville Tirronen; Ilkka Pölönen; Sakari Tuominen; Andras Balazs; Jan Heikkilä; Heikki Saari
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Paper Abstract

In this paper we consider methods for estimating forest tree stem volumes by species using images taken from light unmanned aircraft systems (UAS). Instead of using LiDAR and additional multiband imagery a color infrared camera mounted to a light UAS is used to acquire both imagery and the DSM of target area. The goal of this study is to accurately estimate tree stem volumes in three classes. The status of the ongoing work is described and an initial method for delineating and classifying treetops is presented.

Paper Details

Date Published: 11 May 2012
PDF: 6 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900G (11 May 2012); doi: 10.1117/12.919085
Show Author Affiliations
Heikki Salo, Univ. of Jyväskylä (Finland)
Ville Tirronen, Univ. of Jyväskylä (Finland)
Ilkka Pölönen, Univ. of Jyväskylä (Finland)
Sakari Tuominen, Finnish Forest Research Institute (Finland)
Andras Balazs, Finnish Forest Research Institute (Finland)
Jan Heikkilä, PIEneering Ltd. (Finland)
Heikki Saari, VTT Technical Research Ctr. of Finland (Finland)

Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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