Use of Individual Tree and Product Level Data to Improve Operational Forestry

Abstract Purpose of Review Individual tree detection (ITD) methods and technologies for tracking individual forest products through a smart operational supply chain from stump to mill are now available. The purpose this paper is (1) review the related literature audiences not familiar with remote sensing (2) identify knowledge gaps in forestry operations research that these new data systems becoming more common. Recent Findings Past has led successful development ITD detecting information radio frequency identification (RFID), branding, other product tracing trees logs. Blockchain cryptocurrency allow independent verification transactions work activity recognition based on mobile wearable sensors can connect mechanized motor-manual components chains, bridging connectivity data. However, there shortage demonstrating use location-aware spans multiple machines. Summary Commercial available digitalize operations. Research should shift evaluation applications demonstrate use. Areas improved efficiencies include technology map seedlings during planting; optimizing harvesting, skidding forwarder trails, landings, decking prior information; (3) incorporation high-resolution, mapped value treatment cost into harvest planning; (4) machine navigation, automation, robotics stem locations; (5) digitalized silvicultural treatments, including microclimate-smart best management practices; (6) networking across multiple, sensorized