Study of turbulent signals measured above Amazon Forest and pasture using wavelet transform

Leonardo Deane Sa; Geraldo P. Galvao; Sabrina B.M. Sambatti; Antonio O. Manzi

doi:10.1117/12.205432

6 April 1995 Study of turbulent signals measured above Amazon Forest and pasture using wavelet transform

Leonardo Deane Sa, Geraldo P. Galvao, Sabrina B.M. Sambatti, Antonio O. Manzi

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205432
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

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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