3 papers
cs.CV2026
A Framework for Individual Tree Growth Reconstruction Using Multi-Platform Laser Scanning
Daniella Tavi, Valtteri Soininen, Lassi Ruoppa +2
Accurate tree-level forest monitoring using laser scanning data requires reliable tree delineation, consistent tree correspondence across multitemporal point clouds, and accurate e…
cs.RO2025
Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone
Väinö Karjalainen, Niko Koivumäki, Teemu Hakala +5
Drones are increasingly used in forestry to capture high-resolution remote sensing data, supporting enhanced monitoring, assessment, and decision-making processes. While operations…
cs.CV2025
NormalView: tree species classification from backpack and aerial lidar data using geometric projections
Juho Korkeala, Jesse Muhojoki, Josef Taher +4
Laser scanning has proven to be an invaluable tool in assessing the decomposition of forest environments. Mobile laser scanning (MLS) has shown to be highly promising for extremely…