This project focuses on the application of artificial intelligence (AI) and Earth Observation technologies to quantify emission plumes from landscape fires. AI algorithms have proven effective in processing vast amounts of remote sensing data efficiently. The primary goal of this project is to use AI to detect useful fire plumes, which can then be analysed the relationship between fire radiative power (FRP) and fire emissions. We aim to derive more accurate emission coefficients and explore how these coefficients vary over time, across different seasons, or in different regions.
Duration: 2023-2026
