Section 2 Objective

Characterizing forest attributes from imagery collected via UAS platforms and processed using structure from motion (SfM) photogrammetry is among the most widely tested and affordable remote sensing approaches to describe 3-dimensional forest attributes. This study compares the accuracy and precision of individual tree detection against the range of SfM parameters available in two commercial (Agisoft Metashape and Pix4DMapper) and one open-source algorithm (OpenDroneMap).