Mistra Digital Forest activities during IUFRO 2024
Events
Mondag 24 June
12:00 – 12:45 PM
Poster session 1 – T5.10 Digitalization for sustainable forest management
Title: Identifying cultural remains using airborne laser scanning
Abstract ID: 58598
Presenting author: Henrik Jan Persson, SLU
12:00 – 12:45 PM
Poster session 1 – T5.10 Digitaliszation for sustainable forest management
Title: Smart forest inventory using samples of dense airborne laser scanning
Abstract ID: 58604
Presenting author: Henrik Jan Persson
01:30 – 01:35 PM
The use of digital decision support tools in Swedish forestry - an overview and outlook, Maria Nordström. Skogforsk.
01:50 - 01:55 PM
GoForward moving forward: updated decision support tool for efficient forwarding in harvest operations, Linnea Hansson, Skogforsk.
2:45 – 12:50 PM
Operational assessment of forest growth using airborne laser scanning data acquired on the national level, Jörgen Wallerman, SLU
04:00 – 06:00 PM
T5.2 Artificial Intelligence in Forest Management – Opportunities, Challenges and Social Consequences Panel
04:00 – 06:00 PM
T5.10 Digitalization for sustainable forest management (arranged by: Mistra Digital Forest, NIBIO - Smart Forest, UNITE)
04:00 – 06:00 PM
T5.30 Simulation and automation in modern forest operations (arranged by: UMU, SLU, CoLAB ForestWISE
04:00 – 06:00 PM
T5.8 Developments in complex remote sensing-assisted forest surveys to support monitoring and assessment of forest ecosystems
04:45 – 05:00 PM
Combining laser data and aerial imagery in preparation for nationwide tree species classification, Christoffer Axelsson, SLU
Tuesday 25 June
05:15 - 05:30 PM
T1.19 Managing Forests for Multiple Ecosystem Services under Changing Climate
Multi-criteria decision analysis as a pathway to sustainable forest management: A Swedish case study, Karin Öhman, SLU.
08:42 – 08:54 AM
Methods to reduce the design-bias of model-based predictors based on remotely sensed data, Göran Ståhl, SLU
08:30 AM
Open data, models, and software for machine automation
A Fälldin1, C Häggström2, C Höök2, P Jönsson3, O Lindroos2, M Lundbäck1, E Wallin1, Martin Servin1 – 1Umeå University, 2Swedish University of Agricultural Sciences, 3Skogforsk - the Forestry Research Institute of Sweden
09:06 – 09:18 AM
Mapping of structures for biodiversity in boreal forest in Sweden from airborne laser scanning data and Sentinel-2 satellite images, Eva Lindberg, SLU
09:30 – 09:42 AM
Deep learning-based tree species identification using high-density airborne laser scanning and forest harvester data, Raul de Paula Pires, SLU
Wednesday 26 June
Full day
Mistra Digital Forest, together with the Swedish Forest Industries Federation, Sveaskog, the Swedish Forest Agency, Skogforsk, SLU and Umeå University, invited to an excursion. The excursion was called ‘Digitalisation for sustainable forest management’.
Including, amongst other things:
- Mapping biodiversity indicators (dead wood etc) using laser data. Eva Lindberg. SLU and Mistra Digital Forest.
- New terrain trafficability measures for forwarders - a demo. A Fälldin, M Lundbäck, M Servin, E Wallin - Umeå University and Mistra Digital Forest.
- RöjSat. Maria Nordström, Skogforsk.
Friday 28 June
08:30 AM
Simulation and automation in modern forest operations. Mikael Lundbäck1, Martin Servin1, Ola Lindroos2, Alexandra Marques2, and Ruben Valbuena2 – 1Umeå University, 2Swedish University of Agricultural Sciences
08:45 AM
FOMO: A forest operations annotated image dataset, Christian Höök1, O Lindroos1, C Häggström1, O Mendoza-Trejo1 – 1Swedish University of Agricultural Sciences
9:15 AM
Learning forwarder trafficability from real and synthetic data, M Lundbäck1, Arvid Fälldin1, E Wallin1, M Servin1 – 1Umeå University
09:45 – 10:00 AM
Pathfinder – A decision support tool for operational planning of integrated mechanical site preparation and planting on forest regeneration areas, Linnea Hansson, Skogforsk.
10:00 AM
Pioneering Automation in Forestry: AORO's Crane Automation Journey and Implications, Pedro La Hera1, O Mendoza-Trejo1, O Lindroos1, H Lideskog2, T Lindbäck2, M Karlberg2 – 1Swedish University of Agricultural Sciences, 2Luleå University of Technology
10:15 AM
Towards autonomous forwarding using deep learning and simulation, M Lundbäck1, A Fälldin1, Erik Wallin1, M Servin1 – 1Umeå University