 This study investigated the saturation levels of landsat imagery for different vegetation types in a subtropical region of eastern China. It found that pine forest and mixed forest had the highest saturation levels, 159 and 152 megagrams per hectare, respectively, while Chinese fir and broadleaf forest had lower saturation levels, 143 and 123 megagrams per hectare, respectively. Additionally, the stratification of vegetation types and slope aspects provided more accurate AGB estimates than non stratification. The stratification based on both vegetation types and slope aspects provided the most accurate AGB estimates with the smallest root mean square error, RMSE, of 24.5 megagrams per hectare. This article was authored by Panpan Zhao, Deng Xinglu, Guangxing Wang, and others.