Abstract
In this study, an attempt is made to derive the evolution of the water status of the Amazon forest canopy over a short period, from satellite microwave radiometry. The Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) temperature corrected tapes data are analysed for the 6.6, 10.7, 18 and 37 GHz frequencies, at daytime and nighttime, for the wet (April-May) and dry (July-August) seasons of 1985, over a zone near Manaus, Brazil. After separating forest from river contaminated pixels, atmospheric corrections for water vapor, clouds and rain are performed using surface and satellite data. Algorithms were developed to model the microwave thermal emission of vegetation following a continuous approach and a discrete approach. After performing a sensitivity study, these models are used along with optimization procedures so as to carry out the inversion of structure parameters, temperature and water content of leaves.
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