UAV Remote Sensing-Based Random Forest Modeling of Highway Vegetation Biomass and Sample Library Construction

To accurately monitor highway vegetation biomass and support carbon stock assessments and ecological restoration under carbon neutrality goals, this study integrates UAV technology with random forest algorithms and incorporates spatial cross-validation to construct a highway vegetation biomass model and establish a corresponding sample database for highways in Shanxi Province, China. The provided data constitutes the sample database constructed in this study.