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EUBCE 2026 - Mika AALTO - Integrating Remote Sensing and Simulation Modeling to Evaluate Corridor Thinning in Early Forest Management

Integrating Remote Sensing and Simulation Modeling to Evaluate Corridor Thinning in Early Forest Management

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Biomass supply from agriculture, forestry, and sustainable cropping systems

Integrating Remote Sensing and Simulation Modeling to Evaluate Corridor Thinning in Early Forest Management

Short Introductive summary

This study compares corridor thinning with traditional selective thinning in early forest management. Using UAV-based remote sensing, virtual forest reconstruction, and agent-based simulation, we analyzed productivity and time consumption across six virtual plots and validated findings with field trials and operator interviews. Results show corridor thinning improves efficiency and is well-suited for unmanaged stands, highlighting the value of digital tools for planning and sustainable biomass supply chains.

Presenter

Moderator portrait

Mika AALTO

Lappeenranta/Lahti University of Technology, Laboratory of Bioenergy, FINLAND

Presenter's biography

Postdoctoral researcher at Lappeenranta-Lahti University of Technology LUT, Finland. He specializes in agent-based modelling and biomass quality modelling. His recent work focuses on developing agent-based simulation models for circular economy systems and biogenic carbon capture

Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited


Co-authors:

M. Aalto, Lappeenranta/Lahti University of Technology LUT, Mikkeli, FINLAND
G. Gyawali, Lappeenranta/Lahti University of Technology LUT, Mikkeli, FINLAND
K. Turkia, Finnish Forest Centre, Joensuu, FINLAND
T. Ranta, Lappeenranta/Lahti University of Technology LUT, Mikkeli, FINLAND

Session reference: 1BV.4.21