Storage and Retrieval of Water Conservancy Remote Sensing Data in Cloud Computing Environment

The traditional storage method of water conservancy remote sensing data usually uses local servers to store remote sensing data, so the storage capacity is limited. For large-scale remote sensing data sets, a large amount of physical storage equipment needs to be invested, and the cost is high. This article proposes the storage and retrieval of cloud computing environment, using experimental evaluation and performance analysis methods to conduct research by building a cloud computing platform and simulating the storage and retrieval process of water conservancy remote sensing data. The research conclusion shows that the storage speed under cloud computing is 0.23-2.9MB/S. The storage solution under cloud computing environment can improve the data storage speed, and the distributed storage and hardware optimization technology make data writing and reading operations more efficient. At the same time, retrieval solutions in a cloud computing environment can significantly improve data retrieval speed through parallel processing and optimization algorithms. Through the combined effect of these improved technologies, the throughput of water conservancy remote sensing data has been greatly improved.