A remote sensing data storage method and system based on a block chain

Abstract

The invention provides a remote sensing data storage method and system based on a block chain. The method comprises the following steps: storing remote sensing data as a plurality of remote sensing files based on a collection time point; Performing Hash operation on the plurality of remote sensing files to obtain corresponding Hash values; And storing the associated information of the plurality ofremote sensing files in a block chain network by designing an intelligent contract, the intelligent contract comprising hash values corresponding to the plurality of remote sensing files. According to the storage method and the storage system, the remote sensing data can be prevented from being tampered, the safety of data storage is improved, and the space-time integrated remote sensing data canbe effectively obtained.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a blockchain-based remote sensing data storage method and storage system. Background technique [0002] In recent years, with the continuous development of remote sensing technology, more and more attention has been paid to the time-dimensional remote sensing information. It is necessary to obtain long-term remote sensing data in a certain area for research and analysis of remote sensing data. [0003] In the prior art, long-term remote sensing images are usually organized in the form of discrete files. At present, remote sensing datasets used for time-series analysis usually use files in a common format as the basic storage unit, such as TaggedImage File Format (Geo -TIFF), Hierarchical Data Format (HDF), and the built-in formats of remote sensing commercial software (such as ENVI and ERDAS), among which, the built-in data formats of ENVI and ERDAS software can only store 3-di...

AI Technical Summary

Problems solved by technology

On the one hand, this method leads to the lack of integration of time and space data. When obtaining time series data, multiple files need to be read, and the data in the tree structure or linked list structure needs to be traversed for each file. The process is cumbersome and not necessary. It is good for research and analysis; on the other hand, the stored remote sensing data can be manually modified, it cannot be prevented from being tampered with, and it is difficult to know that the data has been tampered with, so it is difficult to be convincing in some scenarios that require the use of remote sensing sequence data as evidence. such as land ownership

[0004] Therefore, it is necessary to improve the existing technology to solve the problem of the difficulty in obtaining time-series data and the easy tampering of remote sensing data caused by the discrete storage of remote sensing data.

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