The magnanimity of cloud point data is a key restricting factor for its processing. To find out an efficient method for massive ground cloud point management, the authors have analyzed the features of LiDAR cloud point data, and proposed a Cartesian coordinates – quad tree jointed method for 2D cloud point data organization, which is based on plane Cartesian coordinates and quad tree. Experiments show that the proposed method greatly improves the efficiency of data organization and data index. However, it is a future work to quantitatively determine the size of the grid interconnection.