Data workflows

These workflows demonstrate the use of relevant OFO and third-party tools for drone-based forest mapping, from data collection, to production of forest maps, to accuracy assessment.

These workflows are in active development, with plans for a complete initial set by mid-2025. If you are looking for details that you can’t find here, reach out!

• Data collection - Collecting drone data & ground reference data to support forest mapping at the individual tree scale
• Photogrammetry - Processing drone data into geospatial datasets including orthomosaics, digital surface and terrain models, 3D mesh models, and point clouds
• Tree detection & mapping - Detecting and mapping individual trees using photogrammetry products
• Taxonomic classification - Taxonomically classifying trees from drone imagery in a geospatial context
• Accuracy assessment - Assessing the accuracy of drone-derived forest maps via comparison against ground reference data