LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.

ABSTRACT: Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth's carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides

SUBMITTER: Rodda SR 

PROVIDER: S-EPMC10995191 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature