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    Peer-Reviewed Articles - Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data - A first test of an object-oriented small footprint lidar algorithm that uses properties of tree clusters to predict forest properties.

    New search for: Bortolot, Zachary J.

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    Peer-Reviewed Articles - Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data - A first test of an object-oriented small footprint lidar algorithm that uses properties of tree clusters to predict forest properties.

    New search for: Bortolot, Zachary J.

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    Peer-Reviewed Articles - Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data - A first test of an object-oriented small footprint lidar algorithm that uses properties of tree clusters to predict forest properties.

    New search for: Bortolot, Zachary J.

    Access

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    Document information
    Title:

    Peer-Reviewed Articles - Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data - A first test of an object-oriented small footprint lidar algorithm that uses properties of tree clusters to predict forest properties.

    Contributors:

    Bortolot, Zachary J. (author)

    Published in:

    Photogrammetric engineering & remote sensing ; 72

    Publication date:

    2006

    ISSN:

    0099-1112

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Geodäsie , Zeitschrift , Fernerkundung , Fotogrammetrie , Geoinformation , Satellitengeodäsie

    Classification:

    BKL:  74.41 / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie / 38.03
    Local classification TIB:  770/3220
    RVK:  RA 4132.

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