AbstractTime series of the NOAA Global Vegetation Index data set for the period 1985–1991 were analyzed. The Advanced Very High Resolution Radiometer (AVHRR) cloud-free reflectance data were recalibrated to remove the trends due to the sensor sensitivity change and then normalized to nadir at 45° solar zenith angle using anisotropic top-of-the-atmosphere reflectance models. The results of such a normalization procedure show a substantial reduction in week-to-week variability of the spatial means. The present results demonstrate that relatively stable time series can be obtained by applying empirically derived regional anisotropic models. Thus, the improved data set is potentially more useful for monitoring biosphere-hydrology interactions and for use in numerical climate models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Normalization of multi-annual global AVHRR reflectance data over land surfaces to common sun-target-sensor geometry


    Contributors:

    Published in:

    Advances in Space Research ; 14 , 1 ; 121-124


    Publication date :

    1993-01-01


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Multi-Annual Time Series of AVHRR-Derived Land Surface Temperature

    Gutman, G. G. / Committee on Space Research / International Council of Scientific Unions | British Library Conference Proceedings | 1993




    Global Land Monitoring Using AVHRR Time Series

    Gutman, G. | Online Contents | 1995