TECHNISCHE UNIVERSITAT DRESDEN (DE)
Based on the new possibilities of the Sentinel series of satellites, this project aims to develop a highly novel approach to derive global fire emissions estimates based on the characterisation of individual fires and their behaviour. These data will be combined with bottom-up estimates of fuel and combustion and top-down constraints on total carbon emissions and emissions factors. Furthermore, observations of atmospheric composition will be exploited to provide an uncertainty assessment from top-down emission estimation. The new approach will highlight the power of Sentinels to reduce emissions uncertainty, understand direct and indirect effects of fire on long-term changes in the carbon cycle, and highlight the linkages between fuels, fire behaviour, and emissions with the potential of improved fire predictions.
Tracking and classifying Amazon fire events in near real time
Science Advances (2022)