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Remote sensing Letter

Fourier analysis of multi-temporal AVHRR data applied to a land cover classification

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Pages 1115-1121 | Received 31 Jul 1993, Accepted 14 Dec 1993, Published online: 07 May 2007
 

Abstract

A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. It is shown that frequencies of the signal are linked to integrated GVI, seasonal variability and subseasonal variability of the land cover type. These characteristics are used to derive a land cover classification.

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