Abstract
Numerous vegetation indices (VI), calculated from spectral reflectance factors (SRF) obtained by means of spectrometers, are widely used in remote sensing practice. Theoretical VI distributions (TVID) are necessary to utilize statistical techniques to estimate, through VIs, the significance of the impact of seasonal changes, fertilization, polluters etc. on the important parameters of vegetation, soil and other areas. In this paper the TVIDs of some of the most frequently used VIs are derived. These TVIDs are to be used for precise statistical inferences. It is shown that they are close enough to the normal distribution that the known statistical techniques developed for normally distributed random variables may be used in the cases of statistical estimations made at a usual significance level.
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