In recent years, with the popularization of information technology, data storage volume increases by 80% every year. About the rate of growth of information, Gray proposed an empirical law: the amount of data generated every 18 months under network environment is equal to the amount of data in history [1]. For the spatial data of scientific computation, current, although the reading rate of the single disk has generally reached more than 100m/s, but as the number of storage space of a single disk and concurrent constraints, so that it can not solve the massive spatial data management and multi users high speed concurrent access [2]. Parallel computing is an effective way to improve storage efficiency of spatial information, and the grid is a powerful weapon to provide high performance parallel computing.