Research interest in AGB modeling using airborne lidar has surged. Our analysis of 57 studies reveals that mean error is significantly lower in temperate mixed forests, using deep learning methods, and when airborne lidar is combined with multiple earth observation data. These insights are crucial for improving AGB modeling accuracy.
Learning Objectives:
Upon completion, participants will have an in-depth understanding of the key milestones and advancements achieved in AGB estimation using airborne lidar.
Upon completion, participants will be able to learn about methods used for systematic review and meta-analysis of AGB in forested ecosystems using airborne lidar.
Upon completion, participants will be able to evaluate the AGB model performance for different forest biomes, data sources, and methods used for AGB modeling.
Upon completion, participants will be able to understand the difference between overall meta-analysis and meta-analysis conducted with controlled predictor and AGB modeling methods.
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