Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin
Researchers have introduced Biomazon, a new multimodal dataset designed for modeling 3D forest structure and biomass in the Amazon Basin. This dataset aims to improve upon existing methods by focusing on predicting the entire vertical forest structure rather than just canopy-top height proxies. Biomazon integrates data from multiple sensors including Sentinel, ALOS-2, and Copernicus DEM, alongside GEDI RH and AGBD targets, to establish a benchmark for future research in tropical forest monitoring. AI
IMPACT Establishes a new benchmark for structurally consistent prediction and modeling in tropical forests, potentially improving carbon accounting and ecosystem monitoring.