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    Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass

    New search for: Li, Le
    New search for: Guo, Qinghua
    New search for: Tao, Shengli
    New search for: Kelly, Maggi
    New search for: Xu, Guangcai

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    Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass

    New search for: Li, Le
    New search for: Guo, Qinghua
    New search for: Tao, Shengli
    New search for: Kelly, Maggi
    New search for: Xu, Guangcai

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass

    New search for: Li, Le
    New search for: Guo, Qinghua
    New search for: Tao, Shengli
    New search for: Kelly, Maggi
    New search for: Xu, Guangcai

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass

    Contributors:

    Li, Le (author) / Guo, Qinghua / Tao, Shengli / Kelly, Maggi / Xu, Guangcai

    Published in:

    ISPRS journal of photogrammetry and remote sensing ; 102

    Publication date:

    2015

    ISSN:

    0924-2716

    DOI:

    https://doi.org/10.1016/j.isprsjprs.2015.02.007

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Zeitschrift , Fotogrammetrie

    Classification:

    BKL:  38.73 Geodäsie / 74.41 Luftaufnahmen, Photogrammetrie

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