Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 2023, Wuhan, China

Research Article

Dynamic Update Exploration and Discussion of Basic Geographic Information Data Based on Multi-Source Data Fusion

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  • @INPROCEEDINGS{10.4108/eai.8-9-2023.2340181,
        author={Zuliang  Luo and Rongrong  Liu},
        title={Dynamic Update Exploration and Discussion of Basic Geographic Information Data Based on Multi-Source Data Fusion},
        proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICMEIM},
        year={2023},
        month={11},
        keywords={multi-source data; monitoring of geographical conditions; integrate into storage; dynamic updates},
        doi={10.4108/eai.8-9-2023.2340181}
    }
    
  • Zuliang Luo
    Rongrong Liu
    Year: 2023
    Dynamic Update Exploration and Discussion of Basic Geographic Information Data Based on Multi-Source Data Fusion
    ICMEIM
    EAI
    DOI: 10.4108/eai.8-9-2023.2340181
Zuliang Luo1, Rongrong Liu1,*
  • 1: Guangxi Institute of Natural Resources Survey and Monitoring, Ministry of Natural Resources
*Contact email: Liurongrong@gxsdxy.cn

Abstract

Basic geographic information data is an important part of natural resources investigation and monitoring, and the basic guarantee for realizing the management function of "two unifications". Aiming at the problem of low integration efficiency caused by different types of geographic information data, this paper proposes to carry out a comprehensive dynamic update research on geographic information data. Using unified database templates, extraction specifications, extraction processes and fusion warehousing standards, the dynamic update of geographic information data is studied on the integrated production platform, which greatly improves the efficiency of data fusion, so that the application value of geographic information data can be maximized.