Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks. - Bruno Menini Matosak; Raian Vargas Maretto; Thales Sehn Körting; Marcos Adami; Leila Maria Garcia Fonseca (IGARSS, 2020)

Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data. - Hugo N. Bendini; Leila M. G. Fonseca; Raian Vargas Maretto; Bruno Menini Matosak; Evandro Carrijo Taquary; Philipe S. Simões; Ricardo F. Haidar; Dalton de Morisson Valeriano (IGARSS, 2021)

Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series. - Evandro Carrijo Taquary; Leila M. G. Fonseca; Raian Vargas Maretto; Hugo N. Bendini; Bruno Menini Matosak; Sidnei J. S. Sant'Anna; José C. Mura (IGARSS, 2021)

Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. - Bruno Menini Matosak; Leila Maria Garcia Fonseca; Evandro Carrijo Taquary; Raian Vargas Maretto; Hugo do Nascimento Bendini; Marcos Adami (Remote. Sens., 2022)

Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal. - Bruno Menini Matosak; Leila Maria Garcia Fonseca; Raian Vargas Maretto (IGARSS, 2023)