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Partnership Engage Grants (PEG) from the Natural Sciences and Engineering Research Council of Canada (NSERC)
The goal of this applied research project is to improve data precision collected by drones, in addition to forest mapping georeferencing. Therefore, our team has optimized laser and imagery telemetry (VERIF) based on a drone. Furthermore, it’s been integrated into a reduced-cost LiDar system (Velodyne VLP16). Thereafter, a multispectral camera (MicaSense RedEdge-M) with an inertial navigation system (VectorNav VN-310) assisted by kinematic GNSS positioning (RTK) in real time was added. Lastly, a visible/color camera (Basler acA4112-20uc) supplements the rest. A ground test was organized after the material was in place. The data collected is used to evaluate the performances, specifically in terms of georeferencing and cartography precision. The LiDar data was then textured by attributing spectral values to the group of dots.