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    Seasonal Sensitivity Analysis of Impervious Surface stimation with Satellite Imagery - A seasonal sensitivity analysis conducted for estimating impervious surface distribution using spectral mixture analysis and regression modeling.

    New search for: Wu, Changshan
    New search for: Yuan, Fei

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    Seasonal Sensitivity Analysis of Impervious Surface stimation with Satellite Imagery - A seasonal sensitivity analysis conducted for estimating impervious surface distribution using spectral mixture analysis and regression modeling.

    New search for: Wu, Changshan
    New search for: Yuan, Fei

    Access

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

    Seasonal Sensitivity Analysis of Impervious Surface stimation with Satellite Imagery - A seasonal sensitivity analysis conducted for estimating impervious surface distribution using spectral mixture analysis and regression modeling.

    New search for: Wu, Changshan
    New search for: Yuan, Fei

    Access

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

    Access

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

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    Document information
    Similar titles

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    Document information
    Title:

    Seasonal Sensitivity Analysis of Impervious Surface stimation with Satellite Imagery - A seasonal sensitivity analysis conducted for estimating impervious surface distribution using spectral mixture analysis and regression modeling.

    Contributors:

    Wu, Changshan (author) / Yuan, Fei

    Published in:

    Photogrammetric engineering & remote sensing ; 73

    Publication date:

    2007

    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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