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Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests.

, , , , , and . Ecol. Informatics, (2022)

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A statistical approach for simultaneous segmentation and classification., , , and . IGARSS, page 4899-4901. IEEE, (2014)Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks., , , , , and . Ecol. Informatics, (2021)Combining Lidar-Derived Metrics with Rgb-Nir Images to Improve Tree Species Classification in a Tropical Urban Area., , , , and . IGARSS, page 5914-5917. IEEE, (2023)Landsat-Based Land Use Change Assessment in the Brazilian Atlantic Forest: Forest Transition and Sugarcane Expansion., , and . Remote Sensing, 10 (7): 996 (2018)A supervised Bayesian approach for simultaneous segmentation and classification., , , , and . IGARSS, page 2382-2384. IEEE, (2015)Fusion of Lidar and Hyperspectral Data from Drones for Ecological Questions: The Gatoreye Atlantic Forest Restoration Case Study., , , , and . IGARSS, page 714-715. IEEE, (2021)Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning., , , , , , and . Remote. Sens., 15 (4): 1165 (February 2023)Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions., , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Using Unsupervised Clustering for Analyzing Airborne Gamma-Ray Spectrometry Data., , , and . IGARSS, page 5115-5118. IEEE, (2020)Spectral variability of atlantic forest species., , , and . IGARSS, page 2756-2758. IEEE, (2013)