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    Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle

    New search for: Diaz-Varela, R.A.
    New search for: Zarco-Tejada, P.J.
    New search for: Angileri, V.
    New search for: Loudjani, P.

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    Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle

    New search for: Diaz-Varela, R.A.
    New search for: Zarco-Tejada, P.J.
    New search for: Angileri, V.
    New search for: Loudjani, P.

    Access

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

    Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle

    New search for: Diaz-Varela, R.A.
    New search for: Zarco-Tejada, P.J.
    New search for: Angileri, V.
    New search for: Loudjani, P.

    Access

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

    Access

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    Check availability in my library
    Order at Subito €

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    Document information
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    Document information
    Title:

    Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle

    Contributors:

    Diaz-Varela, R.A. (author) / Zarco-Tejada, P.J. / Angileri, V. / Loudjani, P.

    Published in:

    Journal of environmental management ; 134

    Publication date:

    2014

    ISSN:

    0301-4797

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Großbritannien , Welt , Umweltbezogenes Management , Nachhaltige Regionalentwicklung , Umwelttechnik , Umweltschutz , Zeitschrift , Naturschutz , Management , Nachhaltige Entwicklung

    Classification:

    BKL:  43.00

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