Akademik Veri Yönetim Sistemi
FETEC 2024-Forest Operation Technologies and Systems for Small-Scale Forestry Applications, Ljubljana, Slovenya, 16 - 18 Eylül 2024, ss.51, (Özet Bildiri)
The SfM workflow allows foresters to collect remote sensing data of varying resolution and accuracy suited to their specific needs, providing various spatial products from a single sensor. This study emphasizes the potential use of consumer-grade cameras integrated into drones for determining forest stand parameters. Additionally, it presents key practical considerations for collecting high-quality aerial photographs for forestry applications using SfM software. The applications of UAV and SfM technologies in forestry are examined, focusing on the data collection process and how these data can be optimized for photogrammetric surveys. The study highlights the advantages of UAVs, such as safety, speed, and accuracy, while also offering a comparative analysis with traditional ground-based measurement methods. The two most critical forest stand parameters, Breast Height Diameter (DBH) and Stem Volume (SV), are addressed. DBH and SV estimates are compared with ground truth measurements, accepted as reference, along with general error statistics. The results show that the forest stand parameters obtained from UAV-SfM 3D models have an acceptable mean square error (0.42-0.72 cm for DBH and 0.005-0.0015 m³ for SV). The findings suggest that UAVs and consumer-grade cameras can enhance efficiency, expedite data collection processes, and improve safety in forestry operations. Moreover, the accessibility of SfM software for a broad audience enables even non-expert users to perform high-quality photogrammetric analyses. Promoting the use of innovative and accessible technologies in forestry and increasing knowledge in this field is crucial.
Keywords: 3D remote sensing, Diameter at Breast Height, Stem Volume, UAS