Blockchain application in remote sensing big data management and production
The rise of blockchain technology provides new ideas for remote sensing big data management and production and overcomes challenges to data tampering detection, process recording, process accuracy evaluation, and private data protection. The introduction of blockchain technology into remote sensing big data management and production will surely give full play to the value of remote sensing data sources and provide increasingly credible decision -making knowledge for global change research. Therefore, we carried out a prospective study on blockchain-based strategies for remote sensing big data management and product generation. Specifically, we proposed remote sensing big data management rules for metadata entering chain, image files remaining in the original storage, and watermarking to maintain consistency on -chain and off -chain. In addition, we established the UMNI to solve the problem of heterogeneous metadata in multisource data integration and constructed a data block structure containing metadata identification, image encryption paths, and other information. We proposed technical solutions for multisource remote sensing data integration, chain entry, and sharing and established the specific steps and technical details of the blockchain-based product production. Finally, we constructed a logical blockchain-based system serving remote sensing big data management and product generation under a multi -satellite data center scenario.
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