Aerodynamic roughness length () is one of the important parameters that influence energy exchange at the land–atmosphere interface in numerical models, so it is of significance to accurately parameterize the land surface. To parameterize the values of China’s land surface vegetation using remote sensing data, we parameterized the vegetation canopy area index using the leaf area index and land cover products of moderate resolution imaging spectroradiometer data. Then we mapped the values of different land cover types based on canopy area index and vegetation canopy height data. Finally, we analyzed the intra-annual monthly values. The conclusions are: (1) This approach has been developed to parameterize large scale regional values from multisource remote sensing data, allowing one to better model the land–atmosphere flux exchange based on this feasible and operational scheme. (2) The variation of values in the parametric model is affected by the vegetation canopy area index and its threshold had been calculated to quantify different vegetation types. In general, the value will increase during the growing season. When the threshold in the dense vegetation area or in the growing season is exceeded, the values will decrease but the zero-plane displacement heights will increase. This technical scheme to parameterize the can be applied to large-scale regions at a spatial resolution of 1 km, and the dynamic products of can be used in high resolution land or atmospheric models to provide a useful scheme for land surface parameterization.