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",
    series = "Proceedings of SPIE",
    publisher = "International Society for Optics and Photonics SPIE",
    booktitle = "Proceedings of SPIE 8390",
    address = "United States",

    }

    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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    AU - Salo, H.

    AU - Pellikka, I.

    AU - Tirronen, V.

    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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    PB - International Society for Optics and Photonics SPIE

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