科研之友
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摘要
variability in the soil salinity space has been documented in various studies. reflectance is an essential variable addressed in them. in this study an alternative method is proposed for the analysis of salinity through the multiscalar data of reflectance. the suggested method extracts information to describe the soil structure as of the analysis of the soil spectral signatures using the fractal dimension (d). the structure of salt crusts was characterized as of the analysis of fractal signatures (fer) of reflectance spectra by using the techniques of rescaling (dr/s) and wavelets (dw) ranges. for the statistical analysis of fer the multivaried analysis was applied and the most significant relationships were identified between fer and the soil physical and chemical properties. five hierarchical groups were obtained with the following order: g1 1.70%26gt; 1.67%26gt; 1.66 for the groups g1, g2, g3, g4; and 1.67 for g5. a significantly high relationship was detected among the dr/s dimensions when comparing the five groups. the dw dimension showed no significant relationship with the morphology of crusts. therefore, d is useful to classify the structure of salt crusts as of the soil fractal signatures (fer) extracted from the reflectance spectra.
