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

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