Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

Heikki Salo; Ville Tirronen; Ilkka Pölönen; Sakari Tuominen; Andras Balazs; Jan Heikkilä; Heikki Saari

doi:10.1117/12.919085

11 May 2012 Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

Heikki Salo, Ville Tirronen, Ilkka Pölönen, Sakari Tuominen, Andras Balazs, Jan Heikkilä, Heikki Saari

Author Affiliations +

Proceedings Volume 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 83900G (2012) https://doi.org/10.1117/12.919085
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

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Heikki Salo, Ville Tirronen, Ilkka Pölönen, Sakari Tuominen, Andras Balazs, Jan Heikkilä, and Heikki Saari "Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900G (11 May 2012); https://doi.org/10.1117/12.919085

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