R. Gomes

发表

Analysis of channel morphology of São Francisco River using remote sensing data

Y. Shimabukuro, O. A. C. Carvalho Júnior, R. Guimarães, 2010 .

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

Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, R. Guimarães, 2020, Environmental Earth Sciences.

CHANGE DETECTION SOFTWARE USING SELF-ORGANIZING FEATURE MAPS

Nilton Correia Silva, R. Guimarães, R. Gomes, 2012 .

Combining noise-adjusted principal components transform and median filter techniques for denoising modis temporal signatures

Yosio Edemir Shimabukuro, Cristiano Rosa Silva, Nilton Correia Silva, 2012 .

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

Alan R. Gillespie, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, 2013, Remote. Sens..

Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil's Federal District

Osmar Abílio de Carvalho Júnior, Pablo P. de Bem, R. Guimarães, 2019, International Journal of Wildland Fire.

VERTICAL ACCURACY ASSESSMENT OF THE PROCESSED SRTM DATA FOR THE BRAZILIAN TERRITORY

Alex Gois Orlandi, O. A. C. Carvalho Júnior, R. Guimarães, 2019, Boletim de Ciências Geodésicas.

Topographic controls of landslides in Rio de Janeiro: field evidence and modeling

David R. Montgomery, Nelson Ferreira Fernandes, Renato Fontes Guimarães, 2004 .

Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Distrito Federal, Brazil

R. Guimarães, R. Gomes, O. C. Júnior, 2021 .

Panoptic Segmentation Meets Remote Sensing

Anesmar Olino de Albuquerque, Osmar Ab'ilio de Carvalho J'unior, Cristiano Rosa e Silva, 2021, Remote. Sens..

Accuracy and spatiotemporal distribution of fire in the Brazilian biomes from the MODIS burned-area products

Osmar Abílio de Carvalho, R. Guimarães, R. Gomes, 2020 .

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

Anesmar Olino de Albuquerque, Argélica Saiaka Luiz, R. Guimarães, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset

Anesmar Olino de Albuquerque, Osmar Ab'ilio de Carvalho J'unior, R. Guimarães, 2021, ArXiv.

The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil

R. A. Maranhão, R. Guimarães, R. Gomes, 2019, Sustainability.

Center Pivot Classification with Deep Residual U-NET

Pablo Pozzobon de Bem, Anesmar Olino de Albuquerque, Pedro Henrique Guimarães Ferreira, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

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

Anesmar Olino de Albuquerque, R. Guimarães, R. Gomes, 2022, Remote. Sens..

REGIONAL MANAGEMENT AND DEVELOPMENT WITH FREE MULTI-TEMPORAL IMAGES: THE CASE OF HYDROELECTRIC POWER INSPECTION

Alex Gois Orlandi, R. Guimarães, R. Gomes, 2022, Revista Brasileira de Gestão e Desenvolvimento Regional.

Landscape-fragmentation change due to recent agricultural expansion in the Brazilian Savanna, Western Bahia, Brazil

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, O. A. C. Carvalho Júnior, 2017, Regional Environmental Change.

A New Approach to Change Vector Analysis Using Distance and Similarity Measures

Alan R. Gillespie, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, 2011, Remote. Sens..

Deep semantic segmentation for detecting eucalyptus planted forests in the Brazilian territory using sentinel-2 imagery

R. Guimarães, R. Gomes, O. A. de Carvalho Júnior, 2021, Geocarto International.

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

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2020, Remote. Sens..

Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Cristiano Rosa Silva, 2014, Remote. Sens..

Forest fragments distribution as related to geomorphological parameters

R. Guimarães, É. Martins, R. Gomes, 2010 .

Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with a two-dimensional flood routing model for simulating debris flow

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Eder de Souza Martins, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Comparative analysis of the SHALSTAB model from 1:10,000 and 1:50,000 scales

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

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

R. Guimarães, R. Gomes, O. C. Júnior, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Environmental factors that affect sheep production in Brazil

R. Guimarães, R. Gomes, O. A. Carvalho, 2013 .

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

Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Renato Fontes Guimarães, 2021, Energies.

Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow

Osmar Abílio de Carvalho, Nelson Ferreira Fernandes, Renato Fontes Guimarães, 2008 .

Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, 2013, Remote. Sens..

Dynamics of Sheep Production in Brazil

Potira Meirelles Hermuche, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, 2013, ISPRS Int. J. Geo Inf..

DYNAMICS OF SHEEP PRODUCTION IN BRAZIL USING PRINCIPAL COMPONENTS AND AUTO-ORGANIZATION FEATURES MAPS

Nilton Correia da Silva, Potira Meirelles Hermuche, Renato Fontes Guimarães, 2012, Revista Brasileira de Cartografia.

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

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2020, Remote. Sens..

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

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2020, Remote. Sens..

Relationship between Land Property Security and Brazilian Amazon Deforestation in the Mato Grosso State during the Period 2013–2018

Osmar Luiz Ferreira de Carvalho, R. Guimarães, R. Gomes, 2021, Sustainability.

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

R. Guimarães, R. Gomes, O. C. Júnior, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, 2014, Remote. Sens..

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

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho Júnior, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar A. Carvalho Júnior, 2018, Remote. Sens..

Spectral change detection

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Normalization of Multi-Temporal Images Using a New Change Detection Method Based on the Spectral Classifier

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Spectral Multiple Correlation Mapper

R. Guimarães, É. Martins, R. Gomes, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

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

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Cristiano Rosa Silva, 2015, Remote. Sens..

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

R. Guimarães, R. Gomes, O. C. Júnior, 2022, Remote. Sens..

Comparison of Post-fire Patterns in Brazilian Savanna and Tropical Forest from Remote Sensing Time Series

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2020, ISPRS Int. J. Geo Inf..

Effects of Long-Term Fire Exclusion in the Modis NDVI Time Series in the Águas Emendadas Ecological Station, Brazil

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

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

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, David R. Montgomery, 2017, ISPRS Int. J. Geo Inf..

Parameterization of soil properties for a model of topographic controls on shallow landsliding: application to Rio de Janeiro

D. Montgomery, R. Guimarães, R. Gomes, 2003 .

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

Concepta McManus, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, 2017 .

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

Díbio Leandro Borges, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, 2020, Remote. Sens..

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

Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, 2020, Remote. Sens..

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

Alan R. Gillespie, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, 2013, Remote. Sens..

Urbanization impacts upon catchment hydrology and gully development using mutli‐temporal digital elevation data analysis

D. Montgomery, R. Guimarães, É. Martins, 2010 .

Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery

Díbio Leandro Borges, Osmar Luiz Ferreira de Carvalho, Pablo Pozzobon de Bem, 2021, ISPRS Int. J. Geo Inf..

Análise multitemporal da expansão agrícola no município de Barreiras - Bahia (1988 - 2008)

R. Guimarães, R. Gomes, O. C. Júnior, 2012, Revista Campo-Território.

Regional Identification of the Deciduous Forests of Brazil Central Using NDVI Seasonal Variations of the Sensor MODIS and Digital Elevation Model

R. Guimarães, É. Martins, R. Gomes, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Irrigated rice crop identification in Southern Brazil using convolutional neural networks and Sentinel-1 time series

Pablo Pozzobon de Bem, R. Guimarães, R. Gomes, 2021, Remote Sensing Applications: Society and Environment.

Nearest Neighbor Method to Estimate Urban Areas Using Modis Ndvi Time Series

Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Luiz Ferreira de Carvalho, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.