Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index

    New search for: Kuri, Farai
    New search for: Murwira, Amon
    New search for: Murwira, Karin S.
    New search for: Masocha, Mhosisi

    Access

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

    Access

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

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index

    New search for: Kuri, Farai
    New search for: Murwira, Amon
    New search for: Murwira, Karin S.
    New search for: Masocha, Mhosisi

    Access

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

    Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index

    New search for: Kuri, Farai
    New search for: Murwira, Amon
    New search for: Murwira, Karin S.
    New search for: Masocha, Mhosisi

    Access

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

    Access

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

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index

    Contributors:

    Kuri, Farai ( author ) / Murwira, Amon / Murwira, Karin S. / Masocha, Mhosisi

    Published in:

    International journal of applied earth observation and geoinformation ; 33 ; 39-46

    Publication date:

    2014

    ISSN:

    0303-2434

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Classification:

    BKL:  74.48 Geoinformationssysteme / 50.93 / 74.41 / 50.93 Weltraumforschung / 38.03 Methoden und Techniken der Geowissenschaften / 74.48 / 74.41 Luftaufnahmen, Photogrammetrie / 38.03

    Similar titles

    Mapping understory vegetation using phenological characteristics derived from remotely sensed data

    Tuanmu, Mao-Ning | Online Contents | 2010

    Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction

    Ines, Amor V.M. | Online Contents | 2013

    Predicting Future Landslides with Remotely Sensed Imagery

    Mason, P. J. / Rosenbaum, M. S. / Moore, J. M. | British Library Conference Proceedings | 2000

    Mapping a priori defined plant associations using remotely sensed vegetation characteristics

    Roelofsen, Hans D. | Online Contents | 2014

    Image texture as a remotely sensed measure of vegetation structure

    Wood, Eric M. | Online Contents | 2012

    Back to top