The utilization of processed photogrammetric drone data significantly contributes to unlocking valuable insights in our field study. We collected a comprehensive and detailed dataset of drone images. Proper planning and execution enabled us to cover a vast area in little time. We processed these images through the EDEO photogrammetry processing pipeline to generate highly accurate three-dimensional models of the study area.
By leveraging the georeferenced 3D models, we gain a deeper understanding of the spatial distribution of the forest and many required tree attributes such as canopy cover and vegetation density, but also tree heights and stem section measurements. These insights provide essential context for interpreting the data stream of the smart STIHL chainsaw in different areas within the study site.