William Foschiera

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The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of optical imagery for these applications. This paper aims at assessing cloud cover conditions over four states in the tropical and subtropical Center-South region of Brazil to guide the development of an(More)
This paper presents a method for crop yield forecast based on remote sensing and official data. The method uses a statistical approach to extract different pixels of smoothed NDVI data derived from MODIS sensor to be used as proxies for sugarcane yield estimation at a municipal scale. From 368 municipalities with yield's historical data from 2003 to 2012,(More)
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