Changes in land use have motivated research on the dynamics of radiative and energy exchange in the Brazilian Amazon, which in turn cause demand for such data on the surface in spatial and temporal scales. While measuring these changes in micrometeorological towers provides punctual results, remote sensing provides accurate and low cost results to estimate them on a regional scale. This study aimed to evaluate the spatial and temporal distribution of estimates of net radiation and biophysical parameters from remote sensing in different land uses in southwestern Brazilian Amazon. Four sites were selected with soil covers by natural Amazon forest, Amazon managed forest, pasture and silvopastoral system. The net radiation and biophysical parameters (NDVI, leaf area index, albedo and radiometric temperature) were estimated by the SEBAL algorithm, using images from the Landsat TM sensor 5 in July of 2009, 2010 and 2011. The NDVI, LAI, albedo and net radiation were higher in natural forest, followed by managed forest, grassland and silvopastoral system. Radiometric surface temperature were higher in the silvopastoral system followed by pasture, natural forest and managed forest.amazon rainforest
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