Research on Remote Sensing Data Sharing Model Based on Blockchain Technology
Lei Zhang, Yihua Gao, Jinyu Chen, Xueheng Wang, Zhenyue Huang, Dan Wei · 2019
Remote sensing data sharing will be an important part of the development of remote sensing. Remote sensing data is of great value, but the government is still the largest buyer behind the massive remote sensing data, and the commercial value of remote sensing has not been well discovered. In the future, data sharing will be one of the most effective methods in order to stimulate the commercial development of remote sensing data. Open sharing of data not only drives innovation in technology and industry, but also breaks down data barriers between various sectors of the economy, and generates great economic value for the country. According to this idea, this paper puts forward the remote sensing data sharing model which can conform to the development under the general trend of remote sensing data sharing. Remote sensing data often involves a series of security issues that need attention, such as land, so it is special. The remote sensing data involved in this paper is limited to commercially available data with the purpose of promoting the commercial development of remote sensing. The remote sensing data sharing envisaged in this paper involves remote sensing data that is built on the basis of being screened, not endangering or disclosing national geographic security information, and such data processing will help make people's life more convenient. Remote sensing data sharing faces three major problems, one is the data is large, and the resulting storage and processing problems, the second is that the data owner loses the control of the data, ownership, and the third is the real-time of remote sensing data, requiring the time of data processing must be timely and fast. We put forward a blockchain-based remote sensing data sharing model, which has the characteristics of cannot be tampered with, decentralized, secure, credible and collective maintenance, which is suitable for solving the security problems of data sharing of remote sensing institutions. We introduce concept cloud to solve data storage problems, and uses edge computing to alleviate data processing problems. This paper introduces the components of the model and the implementation principle, categorizes the existing remote sensing institutions, and uses the consensus mechanism to achieve fast and secure data sharing.