The research conducted at the Laboratory of Forest Resources Management and Geo-information Science can be divided into three tracks: 3D/4D Precision forestry, Towards comprehensive tree attribute modelling using 3D point clouds and Forest health, above ground biomass and biodiversity assessment by improved mapping and monitoring.
Precision forestry: wood raw material quantity and quality estimation for enhanced wood procurement
The main goal of this research direction is providing tree-by-tree information on wood raw material quantity and quality by using the most advanced forest measurement technologies.
The specific tasks aim to improve:
- Tree species detection
- Tree quality estimation
- Estimation of species-specific tree-size distributions
- Information update
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What is accuracy of TLS, MLS and 3D RS methods in various forest conditions?
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Evo test site for international benchmarking studies
Towards comprehensive tree attribute modelling using point clouds
The main goal of this research direction is to take a big leap towards a comprehensive modelling process including data collection and model development that can be used in forest biomass assessment worldwide.
The specific tasks aim to improve:
- stem volume and biomass modelling
- modelling of the branches and canopy characteristics
- optimize data collection for model development
Forest health, above ground biomass and biodiversity assessment by improved mapping and monitoring
The main goal of this research direction is to improve AGB, forest health status & biodiversity assessments at varying scales.
The specific tasks aim to improve:
- The use of 4D RS in monitoring AGB & biodiversity indicators
- Techniques and methods that can be used in mapping and monitoring of wind disturbances, insect damage and forest recovery
- Laboratory tests
- Pilot studies in selected study areas
- Developed methods will be applied over vast areas