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.
