We are taking a major step forward in forest monitoring! With D2.2: Description of Models and Estimators, we have developed the first high-resolution Pan-European forest maps, providing crucial insights into biomass, tree volume, and species composition.
Key Outputs
- Development of the first Pan-European forest maps
- The k-Nearest Neighbor (k-NN) method was used to generate high-resolution (10m) maps of forest volume, biomass, and conifer proportion.
- Comparison of alternative modelling approaches
- Machine learning methods (Random Forest, Multi-Layer Perceptron, GPBoost) were tested alongside k-NN.
- Some alternative models showed improved precision, but k-NN remained the best choice for large-scale, operational use.
- Enhanced uncertainty quantification
- New methods for uncertainty quantification in forest attribute maps were introduced.
- Application for small-area estimation
- The models support assessments at local levels (e.g., municipalities) when direct field data is scarce.
- PathFinder platform ready for final demonstration
- The k-NN method will be used in the final system, with improvements to data integration and uncertainty handling.
- Additional mapping outputs will include species distribution, tree height, and forest growth rates.
Why does this matter?
- Better monitoring of carbon stocks for climate action.
- Reliable and scalable forest models to support policymaking.
- Future-ready platform, capable of integrating new data sources and models.
Lessons Learned
- Different models work better in different situations:
- While machine learning approaches can provide better precision, k-NN remains the most scalable and practical for large-scale use.
- Uncertainty matters:
- Reliable mapping requires not just predictions, but also prediction intervals to support decision-making.
- Scalability and efficiency are key:
- The PathFinder platform can integrate new models, ensuring long-term adaptability for future forest monitoring.
As we approach the final demonstration of the PathFinder platform, these advancements will play a key role in shaping Europe’s forest management strategies. Click here to answer the deliverable.
