The greenhouse gas (GHG) emissions of the 10 ASEAN member countries were determined using panel data analysis. Sensitivity analysis, multiple correlation, and regression analyses were used to assess the statistical correlations between the discovered variables. The data indicate that the urban population has a major impact on GHG emissions, which are mostly caused by industrial development. Meanwhile, forest cover and population density in member countries had a statistically significant effect on greenhouse gas emissions. Similarly, the urban population was shown to be directly related to GHG emissions, but availability to clean fuels, forest cover, and population density were found to be inversely related to GHG emissions. According to sensitivity analysis, forest cover significantly altered the dynamic state of GHG emissions. The resulting regression model indicated that forest cover played a significant role in mitigating the influence of GHG emissions. However, the model accounted for just 37.15 percent of the variance in total GHG forecast. In conclusion, forest cover projects in member countries were a significant factor in determining GHG emissions, which are limited by the carrying capacity of forest lands. Other drivers, however, should not be overlooked, since they continue to contribute to the increase in GHG emission levels. To minimize GHG emissions, ASEAN nations must develop policies and programs that prioritize fuel access and raise public knowledge of reforestation activities. Human activities that contribute to GHG emissions must be decreased in urban areas if GHG emissions are to be reduced.