A Blockchain-Based Governance Method and System for Multimodal Remote Sensing Big Data
HAINAER Hanati
ZHANG Zhe
ZHU Lilu
WU Yirong
Abstract：Remote sensing technology,as a crucial means of acquiring Earth observation information,plays an increasingly important role in areas such as resource monitoring,environmental protection,disaster prevention,and urban planning.With the rapid advancement of remote sensing technologies and platforms,the volume of remote sensing data is growing exponentially,exhibiting characteristics of multi-source,multi-scale,multi-temporal,and multimodal big data.Existing governance systems for remote sensing data predominantly rely on centralized data management schemes,which are inadequate for meeting the demands of high-concurrency access in cross-departmental data sharing,as well as requirements for data immutability and traceability.To address these challenges,this paper proposes a blockchain-based method and system for the governance of multimodal remote sensing big data.Built upon heterogeneous distributed storage and a unified metadata repository,the method incorporates blockchain's decentralization,tamper resistance,and traceability features.Hash digests of remote sensing data and key metadata fields are recorded on-chain,and smart contracts are utilized to enable flexible access control and audit tracking.The design and experimental evaluation of the prototype system demonstrate that the proposed method ensures efficient access to large-scale data while significantly enhancing the security and traceability of multimodal remote sensing data in multi-node environments.It effectively detects tampering of off-chain data and supports permission management across departments.
Keywords：multi-modal remote sensing datablockchainbig data governanceunified indexdecentralized databasesmart contract
Publication Date：2025-04-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 1-10 )