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Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data.

, , , , , , , , , and . Memorias Do Instituto Oswaldo Cruz, (September 2006)2review.

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Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data., , , , , , , , , and . Memorias Do Instituto Oswaldo Cruz, (September 2006)2review.Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques., , , , , , , and . Acta Tropica, 108 (2-3): 234--241 (2008)Evaluation of Optical and Radar Images Integration Methods for LULC Classification in Amazon Region., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (9): 3062-3074 (2018)P-band radar data classification by neural network for Amazonian land cover assessment., , , , , , and . IGARSS, page 2620-2622. IEEE, (2003)Allometric equations for tropical forest estimation and its relationship with P-band SAR data., , , , , , and . IGARSS, page 1948-1950. IEEE, (2003)Oil Slicks Detection From Polarimetric Data Using Stochastic Distances Between Complex Wishart Distributions., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (2): 463-477 (2017)Classification of Segments in PolSAR Imagery by Minimum Stochastic Distances Between Wishart Distributions., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (3): 1263-1273 (2013)ALOS/PALSAR Data Evaluation for Land Use and Land Cover Mapping in the Amazon Region., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (12): 5413-5423 (2016)