Tropical savanna ecosystems play a critical role in the global carbon cycle, but their ability to store and sequester carbon is uncertain due to the combined effects of anthropogenic activities and climate change. This study explores the potential of UAV LiDAR technology for accurate 3-D mapping of aboveground biomass (AGB) in the Brazilian Savanna (Cerrado).
By assessing five regression models using field sample plots, the research identifies the most effective model for estimating AGB across forest, savanna, and grassland formations. Results indicate that UAV LiDAR can significantly enhance biomass estimation, with notable accuracy across different vegetation types, although further development is needed for grassland biomass estimation.
These findings provide essential data for carbon emission mitigation strategies and support integrated fire management in tropical savanna ecosystems.
