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Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

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unmanned aerial vehicles; seedling detection; forest regeneration; reforestation; establishment survey; machine learning; multispectral classification; UAV photogrammetry; forest modeling; ancient trees measurement; tree age prediction; Mauritia flexuosa; semantic segmentation; end-to-end learning; convolutional neural network; forest inventory; Unmanned Aerial Systems (UAS); structure from motion (SfM); Unmanned Aerial Vehicles (UAV); Photogrammetry; Thematic Mapping; Accuracy Assessment; Reference Data; Forest Sampling; Remote Sensing; Robinia pseudoacacia L.; reproduction; spreading; short rotation coppice; unmanned aerial system (UAS); object-based image analysis (OBIA); convolutional neural network (CNN); juniper woodlands; ecohydrology; remote sensing; unmanned aerial systems; central Oregon; rangelands; seedling stand inventorying; photogrammetric point clouds; hyperspectral imagery; leaf-off; leaf-on; UAV; multispectral image; forest fire; burn severity; classification; precision agriculture; biomass evaluation; image processing; Castanea sativa; unmanned aerial vehicles (UAV); precision forestry; forestry applications; RGB imagery

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