 This study used remote sensing technology to identify two distinct vegetation subtypes in mountainous evergreen broadleaved forests in Sichuan province, China. The two subtypes were identified based on their differing ecological characteristics and spatial distributions. The study found that the two subtypes had different levels of vegetation productivity and species diversity, with the SEBF having greater vegetative productivity and more diverse species composition. The study also demonstrated the effectiveness of combining environmental variables with a hierarchical classifier to accurately distinguish the two subtypes. The study's findings could be used to guide ecological engineering construction, ecological protection, and agriculture and livestock development. This article was authored by Xi Chi Zhang, Pei Hao Peng, Mao Yang Bai, and others.