Open biomass burning (OBB) significantly impacts regional and global air quality, climate change, and human health. It is susceptible to fire types, including forests, shrublands, grasslands, peatlands, and croplands burning. Global high-resolution satellites have advantages in detecting active fires, enabling more accurate estimation of these emissions. In this study, we develop a global high-resolution (1 km×1 km) daily emission inventory associated with OBB emissions using the Chinese Fengyun-3D satellite’s global fire spot monitoring data, satellite and observational biomass data, vegetation index-derived spatiotemporal variable combustion efficiency, and land type-based emission factors.
Data sourced from figshare website（ https://doi.org/10.6084/m9.figshare.24793623.v2 ）.
According to the framework described by Wiedinmyer et al. (2006) and Shi et al. (2015), the global open air biomass burning emissions inventory (GEIOBB) was estimated using the burning area method. GEIOBB includes combustion area retrieved based on FY-3D satellite activity fire data, available biomass measured by satellite and ground, CF scaled by tree cover (TC) and normalized difference vegetation index (NDVI), and OBB emissions based on land cover (LC) emission factors. GEIOBB is obtained by calculating the product of the above items.
The data quality is good.
| # | number | name | type |
| 1 | 42071398 | Remote sensing estimation of integrated PM2.5 emissions from biomass combustion in China and its impact on premature mortality in the population | National Natural Science Foundation of China |
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CSTR:11738.11.NCDC.FIGSHARE.DB6697.2024
10.5194/essd-16-3495-2024, 2024