時系列植生指数データのフーリエ解析

抄録

In this paper, Fourier analysis is applied to multitemporal global vegetation index (GVI) data forextracting the parameters which represent the GVI monthly change. The monthly GVI data is prepared by selecting maximum value in pixels of weekly GVI data for removing cloud effect. The averaged monthly GVI data is made by averaging monthly GVI data through 3 years (April 1982-March 1985), and are used for Fourier analysis. The phase of the first order, the power spectrum of the main, the first, the second and the third order are calculated. It is found that the phase of the first order is used for finding the peak of the monthly NVI data and can be used for monitoring the variation of the season. The usefulness of the power spectrum map of each order and the phase map of the first order is also shown. The paper indicates that these parameters will be used for monitoring vegetation change yearly.