Use recently developed Open Forest Observatory tools to process forest imagery from low-cost drones into tree-level maps, including species predictions from computer vision applied to raw drone images, and evaluate results against ground reference data.

New software tools enable practitioners to process imagery from consumer drones into geospatial tree-level forest maps, including species predictions, leveraging computer vision. Applications in California achieve overstory tree detection accuracy over 80% and species classification accuracy over 85%.