Antônio Roberto Formaggio
According to our database1,
Antônio Roberto Formaggio
authored at least 15 papers
between 2003 and 2016.
Collaborative distances:
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Bibliography
2016
Remote. Sens., 2016
2015
Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil.
Remote. Sens., 2015
2014
Near real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Land use intensity assessed through geotechnology in Brazilian savannah and the effects on soil nutrient.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Estimates of land use and land cover change and soil loss in the Brazilian Cerrado through geotechnology.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Spatial and temporal pattern of forest regeneration in areas deforested in the Eastern Amazon.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Object Based Image Analysis (OBIA) and Data Mining (DM) in Landsat time series for mapping soybean in intensive agricultural regions.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Pattern Recognit. Lett., 2011
Dynamic modeling of forest conversion: Simulation of past and future scenarios of rural activities expansion in the fringes of the Xingu National Park, Brazilian Amazon.
Int. J. Appl. Earth Obs. Geoinformation, 2011
Directional effects on NDVI and LAI retrievals from MODIS: A case study in Brazil with soybean.
Int. J. Appl. Earth Obs. Geoinformation, 2011
2009
Int. J. Appl. Earth Obs. Geoinformation, 2009
Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks.
Int. J. Appl. Earth Obs. Geoinformation, 2009
2008
Proceedings of the SIBGRAPI 2008, 2008
2003
A new approach to identify land use and land cover areas in Brazilian Amazon areas using neural networks and IR-MSS fraction images from CBERS satellite.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003