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Semisupervized Object Detection in UAV Images
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This thesis investigates the effectiveness of machine learning algorithms for automatic detection of coniferous seedling data along Boreal seismic lines. In order to obtain a survival assessment and...
Shrub Changes with Proximity to Anthropogenic Disturbance in Boreal Wetlands Determined Using Bi-temporal Airborne LiDAR in the Oil Sands Region, Alberta Canada
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Bi-temporal LiDAR data used to identify correspondence between density of anthropogenic disturbances, wetland shape complexity and changes in vegetation height within >1800 wetlands near Fort McKay