Rennan F. B. Marujo

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The culture of sugarcane has great importance in the brazilian agribusiness. Remote sensing images have been tradicionally used on manual mapping of sugarcane fields. Manual classification is a laborious and time-consuming task, especially given the size of the territory, and it is still necessary to assess the quality of the maps. Image fusion can improve(More)
We investigated a method for noise removal on Landsat-8 OLI timeseries using CBERS-4 MUX data to improve crop classification. An algorithm was built to look to the nearest MUX image for each Landsat image, based on user defined time span. The algorithm checks for cloud contaminated pixels on the Landsat time series using Fmask and replaces them with CBERS-4(More)
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