Automatic crown segmentation， rapid and accurate extraction of diameter at breast height， tree height， crown width and crown area are the basis for high-precision estimation of forest productivity and carbon stocks. Near-ground remote sensing technology allow rapid and efficient acquisition of high-resolution data from multiple views， which have the potential for high-precision acquisition of forest parameters. Summary of domestic and international forest fine survey using ground and manned /unmanned aircraft remote sensing technology. Comprehensive description of the current status of research on fine acquisition of forest parameters based on near-ground remote sensing. Discussions focus on the algorithms for acquiring forest parameters based on near-ground remote sensing platform multispectral and LiDAR data， and compare their application scenarios and advantages and disadvantages. Near-ground remote sensing technology possesses the capability to acquire detailed forest parameters with low costs and high efficiency， providing crucial technical support for forest management， cultivation， operational decision-making， and accelerating the advancement of building a Beautiful China.