J.M. de Mello

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Our objective was to develop a procedure for change detection which is less sensitive to problems caused by misregistration, atmospheric effects and variations in vegetation phenology. The procedure is based on redundant wavelet transforms. Wavelet correlation was explored by taking point wise products of adjacent scales in order to enhance coefficients due(More)
The objectives of this work were to characterize seasonal dynamics of cerrado, deciduous and semideciduous forests in the north of Minas Gerais, Brazil. Time series of NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) derived from MODIS (MODerate-resolution Imaging Spectroradiometer) sensor, were compared by analyzing(More)
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