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Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil., , , , , and . Remote Sensing, 7 (11): 14482-14508 (2015)Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system., , , , , , , , , and . IGARSS, page 2126-2129. IEEE, (2014)Spatial and temporal pattern of forest regeneration in areas deforested in the Eastern Amazon., , , , , , , , and . IGARSS, page 6283-6286. IEEE, (2012)Hidden Markov Models for crop recognition in remote sensing image sequences., , , , , and . Pattern Recognit. Lett., 32 (1): 19-26 (2011)Object Based Image Analysis (OBIA) and Data Mining (DM) in Landsat time series for mapping soybean in intensive agricultural regions., , and . IGARSS, page 2257-2260. IEEE, (2012)Estimates of land use and land cover change and soil loss in the Brazilian Cerrado through geotechnology., , , and . IGARSS, page 6321-6324. IEEE, (2012)Crop Type Recognition Based on Hidden Markov Models of Plant Phenology., , , , , and . SIBGRAPI, page 27-34. IEEE Computer Society, (2008)Land use intensity assessed through geotechnology in Brazilian savannah and the effects on soil nutrient., , , and . IGARSS, page 2653-2656. IEEE, (2013)Near real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data., , and . IGARSS, page 5064-5067. IEEE, (2014)Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas., , , , , , , , , and 1 other author(s). Remote Sensing, 8 (3): 219 (2016)