Faculty members from our Department of Forest Engineering—Prof. Dr. Alkan Günlü and Assoc. Prof. Dr. Sinan Bulut—are researchers in the project titled “Determining Selected Single-Tree and Stand Parameters in Pure Black Pine Stands Using UAV-Based Multi-Sensor Data: The Taşköprü Forest Enterprise Directorate Case.” The project has been awarded support by TÜBİTAK under the 1001 Scientific and Technological Research Projects Program.
The project’s main objective is to evaluate the usability of UAV-based RGB–NIR and LiDAR sensors in growing stock (timber volume) inventory to provide data needed for forest management plans. Specifically, the study will:
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Assess the applicability and accuracy of UAV-based methods as alternatives to traditional ground measurements,
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Quantify the contributions of RGB–NIR and LiDAR sensors to forest inventory workflows, and
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Support the wider adoption of UAV-based sensing in forestry in Türkiye and open new research avenues.
This work may serve as a guide for integrating UAV-based sensors into Türkiye’s forestry sector. By enabling faster and more cost-effective inventory studies, it is expected to contribute to the national economy and to the General Directorate of Forestry (OGM). In this context, the project aligns with the goals and policies of the 12th Development Plan aimed at a stable, strong economy and competitive production.