Abstract A monthly cloud cover index (CCI) is determined as a function of the threshold cloud top temperature (IR channel), the “reflectivity” of the cloud (VIS channel) and the state of the environmental mean relative humidity in the upper troposphere (WV channel) using multispectral and multitemporal satellite imagery and is transformed into monthly area precipitation. Consequently the rainfall based on satellite information is transformed into monthly runoff values with the aid of the non-linear Volterra series model. The approach is tested in West Africa, in the Tano river basin in Ghana, which cover an area of about 16.000 sq. km.


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    Titel :

    Monthly runoff generation by non-linear model using multispectral and multitemporal satellite imagery


    Beteiligte:
    Papadakis, I. (Autor:in) / Napiorkowski, J. (Autor:in) / Schultz, G.A. (Autor:in)

    Erschienen in:

    Advances in Space Research ; 13 , 5 ; 181-186


    Erscheinungsdatum :

    1993-01-01


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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