Estimation of CO 2 Emissions from Wildfires Using OCO-2 Data

摘要

The biomass burning model (BBM) has been the most widely used method for estimation of trace gas emissions. Due to the difficulty and variability in obtaining various necessary parameters of BBM, a new method is needed to quickly and accurately calculate the trace gas emissions from wildfires. Here, we used satellite data from the Orbiting Carbon Observatory-2 (OCO-2) to calculate CO 2 emissions from wildfires (the OCO-2 model). Four active wildfires in Siberia were selected in which OCO-2 points intersecting with smoke plumes identified by Aqua MODIS (MODerate-resolution Imaging Spectroradiometer) images. MODIS band 8, band 21 and MISR (Multi-angle Imaging SpectroRadiometer) data were used to identify the smoke plume area, burned area and smoke plume height, respectively. By contrast with BBM, which calculates CO 2 emissions based on the bottom–top mode, the OCO-2 model estimates CO 2 emissions based on the top–bottom mode. We used a linear regression model to compute CO 2 concentration (XCO 2 ) for each smoke plume pixel and then calculated CO 2 emissions for each wildfire point. The CO 2 mass of each smoke plume pixel was added to obtain the CO 2 emissions from wildfires. After verifying our results with the BBM, we found that the biases were between 25.76% and 157.11% for the four active fires. The OCO-2 model displays the advantages of remote-sensing technology and is a useful tool for fire-emission monitoring, although we note some of its disadvantages. This study proposed a new perspective to estimate CO 2 emissions from wildfire and effectively expands the applied range of OCO-2 satellite data.