徐夢溪，施建強，王丹華

(南京工程學院計算機工程學院，江蘇 南京，211167)

　　摘 要：結合天地網一體的水環境監測信息/數據的采集匯聚與整合利用的應用需求，提出一種天地網一體的水環境立體監測信息采集匯聚、關聯與整合利用的總體設計方案，并對多源監測信息云端化匯聚對接、海量異構數據的規范化描述和統一訪問、多星遙感數據同化與定量反演、多尺度-異步時空基準下匹配復合、監測數據融合與重構、水環境要素動態關聯知識庫構建、多時空特征組合關聯模式發現、大數據驅動的敏感信息捕捉與綜合關聯智能分析技術等分析和討論。所提出的關于天地網一體化水環境監測數據整合的系統級解決方案，支撐提升系統精細化監測能力，為水利和環境領域業務應用提供空間對應、時間連續的高質量基礎和決策數據，對敏感信息的捕捉和全景式綜合關聯的智能分析。

　　關鍵詞：衛星遙感;地面站網;信息融合;大數據技術;關聯分析

　　Key technologies of space-earth network integrated water environment monitoring data integration

　　XU Mengxi, SHI Jianqiang, WANG Danhua

　　(School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

　　Abstract: Combining the application requirements of the space-earth network integrated water environment monitoring information/data collection, convergence and integrated utilization, this paper proposes an overall design scheme of water environment monitoring information collection, convergence, correlation and integrated utilization of the space-earth network integrated three-dimensional water environment monitoring information. Meanwhile, the technologies of multi-source monitoring information cloud convergence and docking, standardized deion and unified access of massive heterogeneous data, multi-satellite remote sensing data assimilation and quantitative retrieval, multi-scale-asynchronous temporal and spatial reference matching compound, monitoring data fusion and reconstruction, construction of dynamic relational knowledge base of water environment elements, discovery of associative pattern of multiple spatiotemporal characteristics, big data-driven sensitive information capture and comprehensive correlation intelligent analysis are analyzed and discussed. The system-level solutions proposed for the space-earth network integrated water environment monitoring data collection, is benefit for supporting system refinement monitoring capabilities, is adapted to providing space corresponding, time continuous high quality basic data and decision-making data for the business application in water conservancy and environmental field, and is adapted to the capture of sensitive information and the intelligent analysis of panoramic comprehensive correlation.

　　Keywords: satellite remote sensing; earth station network; information fusion; big data technology; correlation analysis