Carbon Accounting

Carbon accounting aims to accurately quantify greenhouse gas emissions and removals, crucial for climate change mitigation and policy. Current research emphasizes improving data acquisition and analysis through advanced technologies like deep learning models, which leverage satellite imagery and other high-resolution data to estimate carbon stocks (e.g., aboveground biomass) with greater accuracy and scalability. Furthermore, AI-driven approaches are being developed to integrate diverse data sources, including unstructured data from supply chains and financial reports, to enhance the reliability and comprehensiveness of carbon accounting methodologies. These advancements are vital for informing effective climate action and promoting transparency in emissions reporting across various sectors.