极地研究 ›› 2022, Vol. 34 ›› Issue (2): 189-197.DOI: 10.13679/j.jdyj.20210033

• 研究论文 • 上一篇    下一篇

海洋卫星北极多区域遥感成像任务规划及应用评估

孙从容1,2,刁宁辉1,2,韩静雨1,2,刘金普1,2,刘建强1,2   

  1. 1国家卫星海洋应用中心, 北京 100081;
    2自然资源部空间海洋遥感与应用重点实验室, 北京100081
  • 收稿日期:2021-03-30 修回日期:2021-06-05 出版日期:2022-06-30 发布日期:2022-06-15
  • 通讯作者: 孙从容
  • 基金资助:
    国家重点研发计划(2018YFC1407200)

A multi-region task managing algorithm and application for Haiyang satellite at Arctic Area

Sun Congrong1,2, Diao Ninghui1,2, Han Jingyu1,2, Liu Jinpu1,2, Liu Jianqiang1,2   

  1. 1National Satellite Ocean Application Service, Beijing 100081, China;
    2Key Laboratory of Space Ocean Remote Sensing and Applications, Ministry of Natural Resources, Beijing 100081, China
  • Received:2021-03-30 Revised:2021-06-05 Online:2022-06-30 Published:2022-06-15

摘要: 北极区域海冰是影响北极船舶航行安全的重要因素, 由于该区域现场观测站点少, 卫星遥感成为监测北极海冰变化的主要手段。为满足北极海域重点区块遥感观测的需求, 结合海洋卫星轨道预测技术和海岸带成像仪的载荷特点, 本文提出了一种多区域成像的卫星探测任务规划算法。简化的轨道预报模型和规划算法均为自主设计、独立编程, 脱离商用软件的约束, 自动化程度高, 经过海洋一号C卫星的应用实践, 验证了该算法满足近实时的观测需求, 改变了以往无差别接收任务规划的不合理局面, 有效提高了卫星资源的应用效能, 为北极航运提供更好的支撑服务。

关键词: 北极区域, 成像任务规划, 海洋卫星应用, 高分辨遥感, 海岸带成像仪

Abstract:

Arctic sea-ice has a great influence on ship navigation. Since lack of regional field observation, high resolution remote sensing data becomes a major method for monitoring sea-ice change. To satisfy precise observation requirement on polar areas, this paper shows an auto-matching algorithm for detecting schedule management. Based on simplified satellite orbit-forecasting model and payload technical specification, this algorithm uses monitoring-coverage factor to get an optimal selection. The unique developed software could replace business software and apply on HY-1C satellite CZI. With advantage in near-real-time (NRT) sea-ice monitoring, it will provide more support to vessels sailing in the Arctic ocean and conserve satellite resource.

Key words: Arctic region, satellite detection schedule, ocean satellite application, high resolution remote sensing, coastal zone imager (CZI)