Abstract: [Purposes] Developing a high-precision method for estimating vegetation biomass in expressway road corridors is of great significance for quantifying the ecological carbon sequestration capacity of highway transportation systems.[Methods] Taking the Taiyuan-Linxian Expressway in Shanxi province as the study area,a multi-source remote sensing collaborative approach for vegetation biomass inversion in expressway road areas was proposed.A UAV-scale biomass inversion model was constructed based on UAV LiDAR point clouds and multispectral data to obtain high-precision UAV plot-based biomass reference values.The UAV plots were then standardized to 10 m resolution to generate training samples,which were combined with Sentinel-2 vegetation indices to construct a satellite-scale biomass inversion model.[Findings] The results show that the UAV-scale biomass estimation model achieved high accuracy (R²=0.85).Among the satellite-scale inversion models,the Random Forest model performed best (R²=0.68).[Conclusions] By constructing UAV-based plots and integrating satellite remote sensing data,efficient and accurate estimation of vegetation biomass in expressway road corridors can be achieved,providing a reliable method for expressway ecological benefit assessment and carbon stock research.

Key words: expressway, road vegetation, Sentinel-2, UAV, biomass