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Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.

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UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce., , , , , , and . Remote. Sens., 14 (15): 3830 (2022)A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties., , , , , , , , , and 1 other author(s). IGARSS, page 728-730. IEEE, (2021)Multitemporal Sentinel-1 and Sentinel-2 Images for Characterization and Discrimination of Young Forest Stands Under Regeneration in Norway., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?, , and . Remote Sensing, 12 (8): 1245 (2020)Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning., , , , and . Sensors, 19 (7): 1579 (2019)Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration., , and . Remote Sensing, 11 (3): 233 (2019)Inventory of Small Forest Areas Using an Unmanned Aerial System., , , and . Remote. Sens., 7 (8): 9632-9654 (2015)Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data., , , , , , and . Remote. Sens., 9 (10): 984 (2017)Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery., and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data., , , , , , and . IGARSS, page 5773-5776. IEEE, (2022)