全球海洋遥感卫星发展综述

doi:10.13474/j.cnki.11-2246.2020.0134

测绘通报 ›› 2020, Vol. 0 ›› Issue (5): 1-6.doi: 10.13474/j.cnki.11-2246.2020.0134

• 综述 • 下一篇

全球海洋遥感卫星发展综述

汪文杰¹, 贾东宁^1,2, 许佳立¹, 褚宏奎¹, 董晓睿¹

1. 青岛海洋科学与技术试点国家实验室, 山东青岛 266237;
2. 中国海洋大学, 山东青岛 266010

收稿日期:2019-11-08 修回日期:2020-01-20 发布日期:2020-06-02
通讯作者: 贾东宁。E-mail:wjwang@qnlm.ac E-mail:wjwang@qnlm.ac
作者简介:汪文杰(1988-),男,硕士,工程师,主要研究方向为海洋观测装备研发、海洋工程材料及海洋大数据领域应用等。E-mail:wangwenjiebkd@163.com

Review of the development of global marine remote sensing satellite

WANG Wenjie¹, JIA Dongning^1,2, XU Jiali¹, CHU Hongkui¹, DONG Xiaorui¹

1. Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;
2. Ocean University of China, Qingdao 266010, China

Received:2019-11-08 Revised:2020-01-20 Published:2020-06-02

摘要/Abstract

摘要： 随着世界各国对海洋资源的重视不断提高，越来越多的国家开始发展海洋遥感卫星技术，为海洋监测、海洋航运、海洋环境、海洋军事及海洋经济等领域提供支撑服务。对全球海洋遥感卫星信息及其相关参数进行统计分析，有助于掌握未来海洋遥感卫星的发展动态和趋势。根据统计分析可以看出，海洋遥感卫星正向多载荷、高分辨率、全覆盖方向发展，并对卫星的发射条件及搭载的载荷提出了新的挑战。随着载荷种类的增多及传输速率的提高，产生的卫星数据也呈现多源异构性，且数据量急剧增加。为此，只有建立大型的卫星数据中心，形成一体化的支撑体系，才能为海洋各领域提供更好的服务。

关键词: 海洋遥感卫星, 卫星参数, 卫星大数据, 领域应用, 综述

Abstract: With the world attention of the marine resource growing, more and more countries are beginning to develop marine remote sensing satellite technology, providing services for marine monitoring, marine shipping, marine environment, marine military and marine economy. Through the statistical analysis of global marine remote sensing satellite information and its related parameters, it can help us to grasp the development trend of marine remote sensing satellites in the future. According to the analysis results, the marine remote sensing satellite is developing in the direction of multi-load, high-resolution and full coverage,and it poses new challenges to the launch conditions of the satellites and the loads they carry.As the types of loads increase and the transmission rate improves,the generated satellite data appears multi-source heterogeneity and the amount of data increases dramatically. So, only by establishing large satellite data centers and forming an integrated supporting system can we provide better services for all fields of the marine.

Key words: marine remote sening satellite, satellite parameters, satellite big data, field application, review

中图分类号:

汪文杰, 贾东宁, 许佳立, 褚宏奎, 董晓睿. 全球海洋遥感卫星发展综述[J]. 测绘通报, 2020, 0(5): 1-6.

WANG Wenjie, JIA Dongning, XU Jiali, CHU Hongkui, DONG Xiaorui. Review of the development of global marine remote sensing satellite[J]. Bulletin of Surveying and Mapping, 2020, 0(5): 1-6.

参考文献

[1] YANG J T, JIANG L M, SHI J C, et al. Monitoring snow cover over China with FY-2E VISSR and FY-3B MWRI[C]//IEEE International Geoscience and Remote Sensing Symposium. Munich:IEEE, 2012.
[2] PENG Y H, DONG T, GU R T, et al. A review of dynamic resource allocation in integrated satellite and terrestrial networks[C]//International Conference on Networking and Network Applications (NaNA). Xi'an:IEEE, 2018.
[3] 陈双,刘韬. 国外海洋卫星发展综述[J]. 国际太空, 2014(7):29-36.
[4] CROSBIE D B. The new space race:satellite mobile communications[J]. IEE Review,1993, 39(3):111-114.
[5] 张庆君,赵良波.我国海洋卫星发展综述[J].卫星应用,2018(5):28-31.
[6] 邵亚奎,朱长明,张新,等.国产高分卫星遥感影像融合方法比较与评价[J]. 测绘通报, 2019(6):5-10.
[7] SHAO J, XU D Q, FENG C, et al. Big data challenges in China centre for resources satellite data and application[C]//Workshop on Hyperspectral Image and Signal Processing:Evolution in Remote Sensing (WHISPERS). Tokyo:IEEE, 2015.
[8] WANG H B, TANG X M, SHI S Y, et al. Research on the construction of data management system of massive satellite images[C]//International Workshop on Big Geospatial Data and Data Science(BGDDS). Wuhan:IEEE, 2018.
[9] HAN W G, JOCHUM M. Latency analysis of large volume satellite data transmissions[C]//IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Texas:IEEE, 2017.
[10] LAKOJU M, SERRANO A. A strategic approach for visualizing the value of big data (SAVV-BIGD) framework[C]//IEEE International Conference on Big Data (Big Data). Washington, DC:IEEE, 2016.
[11] 张洪波.卫星通信在大数据时代的应用[J].广播电视信息,2017(5):64-66.
[12] LAKOJU M, SERRANO A. Saving costs with a big data strategy framework[C]//IEEE International Conference on Big Data. Boston, MA:IEEE, 2017.
[13] CHI M M, PLAZA A, BENEDIKTSSON J A, et al. Big data for remote sensing:challenges and opportunities[J].Proceedings of the IEEE,2016, 104(11):2207-2219.
[14] TAO Z, LV T T, ZHOU X, et al. Monitoring of sinking flux of ocean particulate organic carbon using remote sensing methods[C]//IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing:IEEE, 2016.
[15] 赵鸿彬,谷延超,范东明,等.联合卫星测高、GRACE与温盐数据分析红海海平面变化季节性特征[J].测绘学报,2019, 48(9):1119-1128.
[16] SAUNDERS C. The role of small satellites in military communications[C]//IET Seminar on Military Satellite Communications 2013(Milsatcoms 2013). London:IET, 2013.
[17] LIN Z H, WANG Y X, LIN Q. Research on the efficiency evaluation of electromagnetism environment monitors satellite[C]//IEEE Chinese Guidance, Navigation and Control Conference. Yantai:IEEE, 2014.
[18] HOERNIG O, SOOD D. Military applications of commercial communications satellites[C]//IEEE Military Communica-tions Conference Proceedings. Atlantic:IEEE, 1999.
[19] SOLOVIEV A, SMIRNOV S. Satellite paging:state of the art and development trends[C]//International Conference on Satellite Communications. Moscow:IEEE, 1998.
[20] YANG Yuanxi. Progresses and prospects of marine geodetic datum and marine navigation in China[J]. Journal of Geodesy and Geoinformation Science, 2018, 1(1):16-24.

全球海洋遥感卫星发展综述

Review of the development of global marine remote sensing satellite

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