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Proceedings Paper

Study of turbulent signals measured above Amazon Forest and pasture using wavelet transform
Author(s): Leonardo Deane Sa; Geraldo P. Galvao; Sabrina B.M. Sambatti; Antonio O. Manzi
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Paper 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.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205432
Show Author Affiliations
Leonardo Deane Sa, Instituto Nacional de Pesquisas Espaciais (Brazil)
Geraldo P. Galvao, Instituto Nacional de Pesquisas Espaciais (Brazil)
Sabrina B.M. Sambatti, Instituto Nacional de Pesquisas Espaciais (Brazil)
Antonio O. Manzi, Instituto Nacional de Pesquisas Espaciais (Brazil)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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