Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

    Abstract

    This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.
    Original languageEnglish
    Title of host publicationProceedings of Nordic Remote Sensing Days 2009
    Subtitle of host publicationBook of Abstracts
    PublisherHelsinki University of Technology
    Pages98
    ISBN (Electronic)978-952-60-3055-5
    ISBN (Print)978-952-60-3054-8
    Publication statusPublished - 2010
    MoE publication typeNot Eligible

    Publication series

    SeriesTKK Radio Science and Engineering Publications
    NumberReport R13
    ISSN1797-4364

    Fingerprint

    clearcutting
    satellite imagery
    imagery
    remote sensing
    forest inventory
    thinning
    detection
    method
    data analysis
    project

    Cite this

    Molinier, M., & Astola, H. (2010). Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. In Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts (pp. 98). Helsinki University of Technology. TKK Radio Science and Engineering Publications, No. Report R13
    Molinier, Matthieu ; Astola, Heikki. / Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, 2010. pp. 98 (TKK Radio Science and Engineering Publications; No. Report R13).
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    title = "Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates",
    abstract = "This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.",
    author = "Matthieu Molinier and Heikki Astola",
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    language = "English",
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    series = "TKK Radio Science and Engineering Publications",
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    number = "Report R13",
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    Molinier, M & Astola, H 2010, Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. in Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, TKK Radio Science and Engineering Publications, no. Report R13, pp. 98.

    Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. / Molinier, Matthieu; Astola, Heikki.

    Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, 2010. p. 98 (TKK Radio Science and Engineering Publications; No. Report R13).

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

    TY - CHAP

    T1 - Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates

    AU - Molinier, Matthieu

    AU - Astola, Heikki

    N1 - Project code: 32655

    PY - 2010

    Y1 - 2010

    N2 - This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.

    AB - This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.

    M3 - Conference abstract in proceedings

    SN - 978-952-60-3054-8

    T3 - TKK Radio Science and Engineering Publications

    SP - 98

    BT - Proceedings of Nordic Remote Sensing Days 2009

    PB - Helsinki University of Technology

    ER -

    Molinier M, Astola H. Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. In Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology. 2010. p. 98. (TKK Radio Science and Engineering Publications; No. Report R13).