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Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.901

2020

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Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2655

2020

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Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2576

2020

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Assessment of gully development using geomorphic change detection between pre- and post-urbanization scenarios

Environmental earth sciences, 2020-05, Vol.79 (10), Article 232

2020

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Deforestation analysis in protected areas and scenario simulation for structural corridors in the agricultural frontier of Western Bahia, Brazil

Land use policy, 2017-02, Vol.61, p.40-52

2017

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Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.1904

2018

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Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4858

2022

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Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.3403-3420

2022

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Estimating the Optimal Threshold for Accuracy Assessment of the Global Ecosystem Dynamics Investigation (GEDI) Data in a Gentle Relief Urban Area

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3540

2022

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Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.8447-8457

2021

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The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil

Sustainability, 2019-04, Vol.11 (7), p.2150

2019

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Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression

Remote sensing (Basel, Switzerland), 2013-06, Vol.5 (6), p.2763-2794

2013

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Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction

Remote sensing (Basel, Switzerland), 2013-05, Vol.5 (5), p.2219-2237

2013

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Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil

Remote sensing (Basel, Switzerland), 2014-10, Vol.6 (10), p.9873-9894

2014

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Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset

Remote sensing (Basel, Switzerland), 2015, Vol.7 (6), p.6950-6985

2015

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Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.39

2021

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Dynamics of Sheep Production in Brazil

ISPRS international journal of geo-information, 2013-09, Vol.2 (3), p.665-679

2013

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Panoptic Segmentation Meets Remote Sensing

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.965

2022

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Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation

Energies (Basel), 2021-05, Vol.14 (10), p.2960

2021

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Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil

ISPRS international journal of geo-information, 2017-10, Vol.6 (10), p.289

2017

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Deep-water oil-spill monitoring and recurrence analysis in the Brazilian territory using Sentinel-1 time series and deep learning

International journal of applied earth observation and geoinformation, 2022-03, Vol.107, p.102695, Article 102695

2022

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Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (13), p.2159

2020

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Multispectral panoptic segmentation: Exploring the beach setting with worldview-3 imagery

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102910, Article 102910

2022

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A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1240

2023

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Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil

Remote sensing (Basel, Switzerland), 2014-01, Vol.6 (1), p.330-351

2014

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Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks

Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series

Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas

Assessment of gully development using geomorphic change detection between pre- and post-urbanization scenarios

Deforestation analysis in protected areas and scenario simulation for structural corridors in the agricultural frontier of Western Bahia, Brazil

Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data

Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series

Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection

Estimating the Optimal Threshold for Accuracy Assessment of the Global Ecosystem Dynamics Investigation (GEDI) Data in a Gentle Relief Urban Area

Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series

The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil

Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression

Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction

Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil

Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset

Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

Dynamics of Sheep Production in Brazil

Panoptic Segmentation Meets Remote Sensing

Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation

Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil

Deep-water oil-spill monitoring and recurrence analysis in the Brazilian territory using Sentinel-1 time series and deep learning

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

Multispectral panoptic segmentation: Exploring the beach setting with worldview-3 imagery

A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS

Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil

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