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

H. Salo; I. Pellikka; V. Tirronen; J. Kaivosoja; S. Tuominen; A. Balazs; J. Heikkilä; Heikki Saari

doi:10.1117/12.919085

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

H. Salo, I. Pellikka, V. Tirronen, J. Kaivosoja, S. Tuominen, A. Balazs, J. Heikkilä, Heikki Saari

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of SPIE 8390
Subtitle of host publication	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Publisher	International Society for Optics and Photonics SPIE
ISBN (Print)	978-0-8194-9068-1
DOIs	https://doi.org/10.1117/12.919085
Publication status	Published - 2012
MoE publication type	Not Eligible
Event	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII - Baltimore, Maryland, United States Duration: 23 Apr 2012 → 27 Oct 2014

Publication series

Series	Proceedings of SPIE
Volume	8390
ISSN	0277-786X

Conference

Conference	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Country/Territory	United States
City	Baltimore, Maryland
Period	23/04/12 → 27/10/14

Keywords

Hyperspectral sensors
multispectral image sensors
Fabry-Perot Interferometer
Piezo actuators
imaging spectrometer
UAV
airborne
medical imaging
precision agriculture
target detection

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Salo, H., Pellikka, I., Tirronen, V., Kaivosoja, J., Tuominen, S., Balazs, A., Heikkilä, J., & Saari, H. (2012). Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS. In Proceedings of SPIE 8390 : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII Article 83900G International Society for Optics and Photonics SPIE. https://doi.org/10.1117/12.919085

Salo, H. ; Pellikka, I. ; Tirronen, V. et al. / Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS. Proceedings of SPIE 8390 : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. International Society for Optics and Photonics SPIE, 2012. (Proceedings of SPIE, Vol. 8390).

@inproceedings{a83eecc3d1664ff7a6454b70ad1e7f6a,

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

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.",

keywords = "Hyperspectral sensors, multispectral image sensors, Fabry-Perot Interferometer, Piezo actuators, imaging spectrometer, UAV, airborne, medical imaging, precision agriculture, target detection",

author = "H. Salo and I. Pellikka and V. Tirronen and J. Kaivosoja and S. Tuominen and A. Balazs and J. Heikkil{\"a} and Heikki Saari",

year = "2012",

doi = "10.1117/12.919085",

language = "English",

isbn = "978-0-8194-9068-1",

series = "Proceedings of SPIE",

publisher = "International Society for Optics and Photonics SPIE",

booktitle = "Proceedings of SPIE 8390",

address = "United States",

note = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII ; Conference date: 23-04-2012 Through 27-10-2014",

}

Salo, H, Pellikka, I, Tirronen, V, Kaivosoja, J, Tuominen, S, Balazs, A, Heikkilä, J & Saari, H 2012, Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS. in Proceedings of SPIE 8390 : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII., 83900G, International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Baltimore, Maryland, United States, 23/04/12. https://doi.org/10.1117/12.919085

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS. / Salo, H.; Pellikka, I.; Tirronen, V. et al.
Proceedings of SPIE 8390 : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. International Society for Optics and Photonics SPIE, 2012. 83900G (Proceedings of SPIE, Vol. 8390).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

AU - Salo, H.

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AU - Kaivosoja, J.

AU - Tuominen, S.

AU - Balazs, A.

AU - Heikkilä, J.

AU - Saari, Heikki

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Hyperspectral sensors

KW - multispectral image sensors

KW - Fabry-Perot Interferometer

KW - Piezo actuators

KW - imaging spectrometer

KW - UAV

KW - airborne

KW - medical imaging

KW - precision agriculture

KW - target detection

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DO - 10.1117/12.919085

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SN - 978-0-8194-9068-1

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BT - Proceedings of SPIE 8390

PB - International Society for Optics and Photonics SPIE

T2 - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII

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ER -

Salo H, Pellikka I, Tirronen V, Kaivosoja J, Tuominen S, Balazs A et al. Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS. In Proceedings of SPIE 8390 : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. International Society for Optics and Photonics SPIE. 2012. 83900G. (Proceedings of SPIE, Vol. 8390). doi: 10.1117/12.919085

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

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