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Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system., , , , , , , , , и . IGARSS, стр. 2126-2129. IEEE, (2014)Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations., , , , , , и . Remote Sensing, 5 (11): 5999-6025 (2013)A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil., , , , и . Remote Sensing, 4 (10): 3201-3214 (2012)Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil., , , , и . Remote Sensing, 3 (12): 2682-2703 (2011)Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil., , , , , и . IGARSS, стр. 4233-4236. IEEE, (2013)Automatic classification of land cover change associated with the Brazilian sugarcane expansion over the last decade., , , и . IGARSS, стр. 6240-6243. IEEE, (2012)A simplified Bayesian Network to map soybean plantations., , , , , , и . IGARSS, стр. 351-354. IEEE, (2010)STARS: A New Method for Multitemporal Remote Sensing., , , , , и . IEEE Trans. Geosci. Remote. Sens., 51 (4-1): 1897-1913 (2013)Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas., , , , , , , , , и 1 other автор(ы). Remote Sensing, 8 (3): 219 (2016)Near real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data., , и . IGARSS, стр. 5064-5067. IEEE, (2014)