Omid Abdi

Omid Abdi is a Postdoctoral Researcher at the Department of Forest Sciences, University of Helsinki, Finland. He specializes in geoinformatics and remote sensing applications in forestry, focusing on precision harvesting, forest disturbance monitoring, and GNSS-based forest operations. His research integrates advanced technologies like LiDAR, Sentinel-2 satellite data, and machine learning for environmental analysis.

Research Interests: His work spans

• Remote sensing of forest ecosystems
• Geospatial data processing
• Automated forest monitoring systems
• Wildfire detection algorithms
• Forest infrastructure mapping
• Positioning accuracy in boreal forests

Scientific Contributions: Recent publications analyze GNSS logging track automation, vegetation recovery after fires, and super-resolution imaging for canopy analysis. Active in the EU Horizon Europe OptiForValue project (2024-2028) developing sustainable forest technology solutions.