Main Objectives
- Monitor forest tree health through the use of drones, satellites (Sentinel-2) and data science
- Identify and inspect areas of potentially high fire risk and asses fire fuel types
- Monitor ecosystems and assess biodiversity and wildlife (wildboars) populations
Country
Lithuania
Partners
ART21 and AgriFood Lithuania
Experimental Design
Use satellite data Forest Tree Health (using satellite data):
- Data and situation assessment from national, regional, local perspectives:
- Extract Normalized difference vegetation index (NDVI) show differentiate healthy and affected areas
- Collaborate with forest engineers to show affected trees and collect information for LCA/LCC
- Work on individual tree segmentation and clustering models
- Perform drone flight over affected areas 2x/month to track differences
Final Aim
Establish methodologies for UAV based:
- Tree health monitoring and risk assessment
- Fire risk assessment
- Wildlife (wild boar) population assessment and monitoring
