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 proceedingConference article in proceedingsScientificpeer-review

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 languageEnglish
Title of host publicationProceedings of SPIE 8390
Subtitle of host publicationAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
PublisherInternational Society for Optics and Photonics SPIE
ISBN (Print)978-0-8194-9068-1
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible
EventAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII - Baltimore, Maryland, United States
Duration: 23 Apr 201227 Oct 2014

Publication series

SeriesProceedings of SPIE
Volume8390
ISSN0277-786X

Conference

ConferenceAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
CountryUnited States
CityBaltimore, Maryland
Period23/04/1227/10/14

Fingerprint

aircraft
imagery
stem
method

Keywords

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

Cite this

Salo, H., Pellikka, I., Tirronen, V., Kaivosoja, J., Tuominen, S., Balazs, A., ... 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 https://doi.org/10.1117/12.919085
Salo, H. ; Pellikka, I. ; Tirronen, V. ; Kaivosoja, J. ; Tuominen, S. ; Balazs, A. ; Heikkilä, J. ; Saari, Heikki. / 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",
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publisher = "International Society for Optics and Photonics SPIE",
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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., 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.; Kaivosoja, J.; Tuominen, S.; Balazs, A.; Heikkilä, J.; Saari, Heikki.

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 proceedingConference article in proceedingsScientificpeer-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 - Tuominen, S.

AU - Balazs, A.

AU - Heikkilä, J.

AU - Saari, Heikki

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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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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). https://doi.org/10.1117/12.919085