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6 April 1995 Study of turbulent signals measured above Amazon Forest and pasture using wavelet transform
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Abstract
Wavelet transform (WT) is a new and powerful tool for the analysis of nonhomogeneous or non stationary signals. It permits an evolutionary spectral decomposition of the signal, which was almost impossible to get with the traditional Fourier signal decomposition. In this study a WT is applied to analyze wind speed signals measured at a frequency of 21 Hz above the Amazon forest and pasture. Surface boundary layer measurements are analyzed. The results show the essentially nonhomogeneous behavior of the turbulent fields above those vegetation covers, which appear to be organized in extremely localized structures.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonardo Deane Sa, Geraldo P. Galvao, Sabrina B.M. Sambatti, and Antonio O. Manzi "Study of turbulent signals measured above Amazon Forest and pasture using wavelet transform", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205432
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