极地研究

极地研究 ›› 2026, Vol. 38 ›› Issue (3): 482-493.DOI: 10.13679/j.jdyj.20240098

• 研究论文 • 上一篇    

基于卫星遥感技术的极地与海洋遥感大数据信息服务与决策中心的系统研究

崔雪1  夏晓运1  胡林1  任宁川2  李新情3  惠凤鸣3,4   

  1. 1北京智信遥感地理信息技术有限公司, 北京 100083;
    2中国光大银行股份有限公司, 北京 100083;
    3南方海洋科学与工程广东省实验室(珠海), 广东 珠海 519082;
    4中山大学测绘科学与技术学院, 广东 珠海 519082
  • 收稿日期:2024-11-18 修回日期:2025-05-18 出版日期:2026-09-30 发布日期:2026-10-22
  • 通讯作者: 惠凤鸣
  • 基金资助:
    国家自然科学基金(42206248, 42376241)资助

Research on the System of Polar and Ocean Remote Sensing Big Data Information Service and Decision Center Based on Satellite Remote Sensing Technology

CUI Xue1, XIA Xiaoyun1, HU Lin1, REN Ningchuan2, LI Xinqing3, HUI Fengming3,4   

  1. 1Beijing Zhixin Remote Sensing Geographic Information Technology Co., Ltd., Beijing 100083, China;
    2China Everbright Bank Co., Ltd., Beijing 100083, China;
    3Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China;
    4School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China
  • Received:2024-11-18 Revised:2025-05-18 Online:2026-09-30 Published:2026-10-22

PDF (PC)

17

摘要：

极地和海洋区域在气候调节、能源储备和生物多样性等领域发挥重要作用。本研究利用数据挖掘、云计算和人工智能(AI)技术, 通过汇聚“天空地人”各类型数据、集成开发科学算法, 开发极地与海洋遥感大数据信息服务与决策中心系统, 生产具有自主知识产权的创新性专题产品。该研究目前积累了行业领先的核心算法22个, 标准数据产品173个。通过系统自动化运行, 实现了数据由常规共享向应用决策支持的跨越, 服务于极地和南海区域的环境监测、资源开发、灾害预警、政府决策等诸多方面。本研究旨在为极地和海洋区域的信息化平台设计提供参考。

关键词: 卫星遥感, 极地与海洋, 大数据系统

Abstract:

Polar and oceanic regions play an important role in climate regulation, energy storage, and biodiversity. This study used data mining, cloud computing, and artificial intelligence technologies to aggregate various types of data from “sky, earth, and humans” integrate and develop scientific algorithms, develop a polar and ocean remote sensing big data information service and decision-making center system, and produce innovative thematic products with independent intellectual property rights. This research has currently accumulated 22 industry-leading core algorithms and 173 standard data products. The automated operation of the system achieved the transition of data from conventional sharing to application decision support to serve various aspects such as environmental monitoring, resource development, disaster warning, and government decision-making in the polar and South China Sea regions. This study aimed to provide a reference for the design of information platforms in polar and marine regions.


Key words: satellite remote sensing, polar and ocean, big data system