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自然资源时空数据管理技术研究进展

金子鑫 王琰 窦小楠 孟洁 岳建伟 雷添杰

水利水电技术(中英文)2026,Vol.57Issue(2):224-240,17.
水利水电技术(中英文)2026,Vol.57Issue(2):224-240,17.DOI:10.13928/j.cnki.wrahe.2026.02.017

自然资源时空数据管理技术研究进展

Research progress on spatiotemporal data management technologies for natural resources

金子鑫 1王琰 2窦小楠 1孟洁 1岳建伟 2雷添杰3

作者信息

  • 1. 河南省地理信息院,河南 郑州 450003
  • 2. 北京师范大学 地理科学学部,北京 100875||遥感与数字地球全国重点实验室,北京 100875
  • 3. 中国农业科学院农业环境与可持续发展研究所,北京 100081
  • 折叠

摘要

Abstract

[Objective]Spatiotemporal data management technologies for natural resources have long been a research focus in the field of natural resources.The aim is to clarify the current research status and identify future development trends in this area.[Methods]A structural relational approach is employed to construct an analytical framework centered on natural resource databases.Taking various component technologies as entry points—including natural resource data modeling method,spatiotemporal indexing techniques,and data update method—the content and relationships of key technologies and method for spatiotemporal data management of natural resources are systematically reviewed.Based on the connections between the whole and its parts,future development trends of spatiotemporal data management technologies for natural resources in data application,data modeling,data retrieval,and data updating are analyzed.[Results]At present,technologies for spatiotemporal data management in natural resources are relatively mature in areas such as static entity representation,structured spatiotemporal indexing,homogeneous data updating,and 2 D data storage and sharing.These technologies can effectively support digital data management within a single domain or under a specific modality.However,there are still technical bottlenecks in multi-source data fusion,multimodal model construction,and dynamic data indexing and updating.[Conclusion]To achieve the goals of automated and intelligent data management,future research should focus on the development of multimodal,dynamic,and refined data management technologies.

关键词

自然资源/自然资源实体/时空数据/数据管理/数据库/影响因素

Key words

natural resources/natural resource entities/spatiotemporal data/data management/database/influencing factors

分类

信息技术与安全科学

引用本文复制引用

金子鑫,王琰,窦小楠,孟洁,岳建伟,雷添杰..自然资源时空数据管理技术研究进展[J].水利水电技术(中英文),2026,57(2):224-240,17.

基金项目

河南省自然资源厅2023年度河南省自然资源科研项目(2023-382-7) (2023-382-7)

国家重点研发计划项目(2022YFF1303405) (2022YFF1303405)

水利水电技术(中英文)

1000-0860

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