The overall objective of the DRONE4TREE project is to conduct a proof of concept of autonomous drone-in-a-box (DiaB) based remote sensing technology for single-tree forestry applications. Together with project collaborators, operational concepts will be designed for two connected applications: tree health analysis and selective harvesting decision support. An agile approach is used in implementation, meaning that several iterative plan-develop-demonstrate-assess cycles will be carried out. Throughout the process, the stakeholders will be engaged to follow and co-innovate the system. Evaluation of exploitation possibilities of the new method are also vital part of the project. By using novel innovative ways to collect forestry data and carrying out single tree analysis using the point cloud and multispectral remote sensing datasets, the project capitalizes the core research findings of the UNITE flagship, and contributes to commercial and societal utilization of results.

2024

2025