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.