Harnessing remote sensing for biomass estimation in young scots pine forests

This paper explores the application of remote sensing technologies to estimate aboveground biomass in young Pinus sylvestris (Scots Pine) stands. Conducted in the Baltic region, the study compares different remote sensing methods, including LiDAR and aerial imagery, to traditional field measurements for biomass estimation. The findings demonstrate that remote sensing is a promising tool for biomass assessment, providing accurate estimates while reducing the time and labor associated with fieldwork. The research is valuable for forest managers and ecologists seeking efficient ways to monitor forest growth and carbon sequestration in young stands.