Journal of University of Chinese Academy of Sciences >
Fourier Analysis of Multi-Temporal AVHRR Data
Received date: 2002-04-15
Revised date: 2002-07-05
Online published: 2003-01-18
Fourier transform is presented and applied to monthly composited NDVI data over one year derived from NOAA AVHRR to examine the frequency distribution of the multi temporal signal. It is shown that frequencies of the time series of NDVI are linked to integrated NDVI and seasonal variabilities of different periods of the land cover types. The zero frequency component, or mean NDVI, indicates overall productivity. The 1/12 month-1 frequency component summarizes the relative dominance of annual habit of land cover types over China. The introduction of these characteristic phenology parametersextracted from time series of NDVI into feature space improves the separabilities based on Bhattacharya Distances for land cover types. This research indicates that Fourier transform provides a useful tool for handling temporal sequences of AVHRR data and studying the vegetation phenology.
Key words： Fourier transform; NOAA-AVHRR; separability
Zheng Yukun , Zhuang Dafang . Fourier Analysis of Multi-Temporal AVHRR Data[J]. Journal of University of Chinese Academy of Sciences, 2003 , 20(1) : 62 -68 . DOI: 10.7523/j.issn.2095-6134.2003.1.010
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