| Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks PP de Bem, OAC Júnior, RF Guimarães, RAT Gomes Remote Sensing 12 (6), 901, 2020 | 200 | 2020 |
| Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series H Crisóstomo de Castro Filho, O Abílio de Carvalho Júnior, ... Remote Sensing 12 (16), 2655, 2020 | 102 | 2020 |
| Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil’s Federal District PP de Bem, OA de Carvalho Júnior, EAT Matricardi, RF Guimarães, ... International Journal of Wildland Fire 28 (1), 35-45, 2019 | 59 | 2019 |
| Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data AO de Albuquerque, OA de Carvalho Júnior, OLF Carvalho, PP de Bem, ... Remote Sensing 12 (13), 2159, 2020 | 46 | 2020 |
| Instance segmentation for large, multi-channel remote sensing imagery using mask-RCNN and a mosaicking approach OLF Carvalho, OA de Carvalho Junior, AO Albuquerque, PP Bem, ... Remote Sensing 13 (1), 39, 2020 | 40 | 2020 |
| Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas PP de Bem, OA de Carvalho Júnior, OLF de Carvalho, RAT Gomes, ... Remote Sensing 12 (16), 2576, 2020 | 29 | 2020 |
| Dealing with Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series AO Albuquerque, OLF de Carvalho, C Silva, AS Luiz, PP De Bem, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 | 24 | 2021 |
| Instance segmentation of center pivot irrigation systems using multi-temporal SENTINEL-1 SAR images AO de Albuquerque, OLF de Carvalho, CR e Silva, PP de Bem, ... Remote Sensing Applications: Society and Environment 23, 100537, 2021 | 22 | 2021 |
| Irrigated rice crop identification in Southern Brazil using convolutional neural networks and Sentinel-1 time series PP de Bem, OA de Carvalho Júnior, OLF de Carvalho, RAT Gomes, ... Remote Sensing Applications: Society and Environment 24, 100627, 2021 | 20 | 2021 |
| Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery OLF de Carvalho, RS de Moura, AO de Albuquerque, PP de Bem, ... ISPRS International Journal of Geo-Information 10 (12), 813, 2021 | 7 | 2021 |
| Previsão de vulnerabilidade a incêndios florestais utilizando regressão logística e redes neurais artificiais: um estudo de caso no Distrito Federal brasileiro PP Bem | 1 | 2017 |
| Aplicações de modelos de deep learning para monitoramento ambiental e agrícola no Brasil PP Bem | | 2022 |
| Center Pivot Classification with Deep Residual U-NET AO de Albuquerque, PP de Bem, RS de Moura, OLF de Carvalho, ... IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |
Roberto Arnaldo Trancoso GomesProfessor do Departamento de Geografia, Universidade de BrasíliaVerified email at unb.br
