Forest fire emissions have a great impact on local air quality and the global climate. However, the current and detailed regional forest fire emissions inventories remain poorly studied. Here we used Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate monthly emissions from forest fires at a spatial resolution of 500 m × 500 m in southwest China from 2013 to 2017. The spatial and seasonal variations of forest fire emissions were then analyzed at the provincial level. The results showed that the annual average emissions of CO 2 , CO, CH 4 , SO 2 , NH 3 , NO X , PM, black carbon, organic carbon, and non-methane volatile organic compounds from forest fires were 1423.19 × 10 3 , 91.66 × 10 3 , 4517. 08, 881.07, 1545.04, 1268.28, 9838.91, 685.55, 7949.48, and 12,724.04 Mg, respectively. The forest fire emissions characteristics were consistent with the characteristics of forest fires, which show great spatial and temporal diversity. Higher pollutant emissions were concentrated in Yunnan and Tibet, with peak emissions occurring in spring and winter. Our work provides a better understanding of the spatiotemporal representation of regional forest fire emissions and basic data for forest fire management departments and related research on pollution and emissions controls. This method will also provide guidance for other areas to develop high-resolution regional forest fire emissions inventories.Atmosphere 2020, 11, 15 2 of 12 Although they are an important type of biomass burning, forest fire emissions have been commonly analyzed only as a part of overall biomass burning emissions, and detailed analysis of the spatial and temporal changes of the forest fire emissions has been neglected [1,[13][14][15]. Tian et al. [16,17] noted that forest fires are influenced by many factors and have more complex characteristics than other biomass types. Huang et al. [18] indicated that compared with forest fires, agricultural field burnings have small sizes and temporal impermanency. Few studies have aimed to differentiate the type of biomass burning and most typically focus on just emissions from forest fires. It is unreasonable to calculate forest fire emissions as a part of the total fire emissions because of their highly complex nature. For example, to simplify the calculations, a fixed biomass density or emission factor value has been applied for all forest types in many studies [13,19]. Above-ground biomass density values in different regions are quite different [2,20]. Therefore, it is necessary to use local biomass density to estimate regional forest fire emissions. Moreover, large uncertainties in the form of varied emission factor values can be found for different forest fuels in forest fire emissions estimation [20,21]. Therefore, the accurate estimation and detailed analysis of forest fire emissions still need to be improved.Streets et al. [8] found that forest fire emissions were the primary source of biomass emissions in Asia, and that China had the highest biomass burning emissions in Asia. Some researc...