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Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

International journal of digital earth, 2019-06, Vol.12 (6), p.699-719

2019

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Examining Multi-Legend Change Detection in Amazon with Pixel and Region Based Methods

Remote sensing (Basel, Switzerland), 2017-01, Vol.9 (1), p.77-77

2017

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Assessing interpreter's disagreements in land cover reference data collection from historical Landsat time series in Amazon

International journal of remote sensing, 2024-08, Vol.45 (15), p.5192-5223

2024

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Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

Memórias do Instituto Oswaldo Cruz, 2010-07, Vol.105 (4), p.541-548

2010

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Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil

Memórias do Instituto Oswaldo Cruz, 2010-07, Vol.105 (4), p.512-518

2010

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The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Memórias do Instituto Oswaldo Cruz, 2010-07, Vol.105 (4), p.532-536

2010

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Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest

Remote sensing of environment, 2003-11, Vol.87 (4), p.482-493

2003

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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

Memórias do Instituto Oswaldo Cruz, 2006-10, Vol.101 Suppl 1 (suppl 1), p.91-96

2006

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Use of Indicator Kriging to Investigate Schistosomiasis in Minas Gerais State, Brazil

Journal of Tropical Medicine, 2012-01, Vol.2012 (2012), p.598-607

2012

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Towards a Reproducible LULC Hierarchical Class Legend for Use in the Southwest of Pará State, Brazil: A Comparison with Remote Sensing Data-Driven Hierarchies

Land (Basel), 2018-06, Vol.7 (2), p.65

2018

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Utilizing environmental, socioeconomic data and GIS techniques to estimate the risk for ascariasis and trichuriasis in Minas Gerais, Brazil

Acta tropica, 2012-02, Vol.121 (2), p.112-117

2012

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Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques

Acta tropica, 2008-11, Vol.108 (2), p.234-241

2008

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Spatial distribution of Biomphalaria mollusks at São Francisco River Basin, Minas Gerais, Brazil, using geostatistical procedures

Acta tropica, 2009-03, Vol.109 (3), p.181-186

2009

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Markov point processes for modeling of spatial forest patterns in Amazonia derived from interferometric height

Remote sensing of environment, 2005-09, Vol.97 (4), p.484-494

2005

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MODELING SPATIAL TREE PATTERNS IN THE TAPAJÓS FOREST USING INTERFEROMETRIC HEIGHT

Revista brasileira de cartografia, 2009-11, Vol.57 (1)

2009

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Effects of Different Methods of Radiometric Calibration on the Use of Training Data for Supervised Classification of Landsat5/TM Images from other Dates

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, p.1566-1569

2019

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Carbon budget estimation in Central Amazonia: Successional forest modeling from remote sensing data

Remote sensing of environment, 2005-02, Vol.94 (4), p.508-522

2005

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Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques: Schisto Research Brazil

Acta tropica, 2008, Vol.108 (2-3), p.234-241

2008

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Stochastic Approaches of Minimum Distance Method for Region Based Classification

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.797-804

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The global rain forest mapping project

International journal of remote sensing, 2002, Vol.23 (7)

2002

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Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest: Large scale biosphere atmosphere experiment in America

Remote sensing of environment, 2003, Vol.87 (4), p.482-493

2003

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The use of land cover change likelihood for improving land cover classification

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017, p.3222-3225

2017

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MODELING SPATIAL TREE PATTERNS IN THE TAPAJÓS FOREST USING INTERFEROMETRIC HEIGHT

Revista brasileira de cartografia, 2005-04, Vol.57 (1), p.1-6

2005

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Classification of Schistosomiasis Prevalence Using Fuzzy Case-Based Reasoning

Bio-Inspired Systems: Computational and Ambient Intelligence, p.1053-1060

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Evaluation of SAR-SDNLM filter for change detection classification

2014 IEEE Geoscience and Remote Sensing Symposium, 2014, p.2042-2045

2014

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Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

Examining Multi-Legend Change Detection in Amazon with Pixel and Region Based Methods

Assessing interpreter's disagreements in land cover reference data collection from historical Landsat time series in Amazon

Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil

The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest

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

Use of Indicator Kriging to Investigate Schistosomiasis in Minas Gerais State, Brazil

Towards a Reproducible LULC Hierarchical Class Legend for Use in the Southwest of Pará State, Brazil: A Comparison with Remote Sensing Data-Driven Hierarchies

Utilizing environmental, socioeconomic data and GIS techniques to estimate the risk for ascariasis and trichuriasis in Minas Gerais, Brazil

Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques

Spatial distribution of Biomphalaria mollusks at São Francisco River Basin, Minas Gerais, Brazil, using geostatistical procedures

Markov point processes for modeling of spatial forest patterns in Amazonia derived from interferometric height

MODELING SPATIAL TREE PATTERNS IN THE TAPAJÓS FOREST USING INTERFEROMETRIC HEIGHT

Effects of Different Methods of Radiometric Calibration on the Use of Training Data for Supervised Classification of Landsat5/TM Images from other Dates

Carbon budget estimation in Central Amazonia: Successional forest modeling from remote sensing data

Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques: Schisto Research Brazil

Stochastic Approaches of Minimum Distance Method for Region Based Classification

The global rain forest mapping project

Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest: Large scale biosphere atmosphere experiment in America

The use of land cover change likelihood for improving land cover classification

MODELING SPATIAL TREE PATTERNS IN THE TAPAJÓS FOREST USING INTERFEROMETRIC HEIGHT

Classification of Schistosomiasis Prevalence Using Fuzzy Case-Based Reasoning

Evaluation of SAR-SDNLM filter for change detection classification

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