Multispectral airborne laser scanning for tree species classification: A benchmark of machine learning and deep learning algorithms

Key Points

• Tree species classification accuracy improved through advanced machine learning techniques, indicating enhanced ecological assessments.
• The best-performing model achieved 95% accuracy in identifying tree species across diverse landscapes.
• Analysis employed multispectral airborne laser scanning to gather detailed data on tree structures and characteristics.
• This method highlights the potential for technological advancements to improve ecological monitoring and biodiversity assessments.