ABSTRACT
Biomass Burning Model (BBM) has been widely used in estimating trace gas emissions from wildfires which mainly based on burned areas, biomass fuel load, and emission factors. This study takes 2010 Russia wildfire as a case and proposed a remote sensing method based on Greenhouse gases Observing SATellite (GOSAT) data to estimate CO2 emissions from July 23 to August 18, 2010. The results demonstrated that the GOSAT CAI (Cloud and Aerosol Imager) was well suited for the identification of smoke plumes and that the GOSAT FTS (Fourier Transform Spectrometer) TIR (Thermal InfraRed) could be used to calculate the height of the plumes at approximately 800 hPa (1.58 km). The result shows that 255.76 Tg CO2 was emitted from the 2010 Russia wildfire. BBM and emission ratio (ER) method were also used to verify the accuracy of remote sensing method and obtained satisfactory result. This study concluded that remote sensing was a simple and feasible method in CO2 emissions from wildfires and could be used to improve the knowledge of the burning of biomass at a regional or a continental scale.
