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Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach., , , , , , , , , and 15 other author(s). Remote. Sens., 12 (17): 2685 (2020)Assessing the Magnitude of the Amazonian Forest Blowdowns and Post-Disturbance Recovery Using Landsat-8 and Time Series of PlanetScope Satellite Constellation Data., , , , , , and . Remote. Sens., 15 (12): 3196 (June 2023)Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data., , , , , , , , , and . Remote. Sens., 12 (3): 430 (2020)Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data., , , , , , , , and . Remote. Sens., 12 (21): 3512 (2020)Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests., , , , , , , , , and 7 other author(s). Remote. Sens., 14 (3): 707 (2022)Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks., , , , , and . Remote. Sens., 13 (23): 4944 (2021)Performance of Speckle Filters for COSMO-SkyMed Images From the Brazilian Amazon., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Removal of Ionospheric Effects from Sigma Naught Images of the ALOS/PALSAR-2 Satellite., , and . Remote. Sens., 14 (4): 962 (2022)Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau., , , , , , , , and . Remote. Sens., 13 (2): 229 (2021)A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images., , , , , and . Remote. Sens., 13 (17): 3341 (2021)