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

    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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