Update of remote sensing satellite ground systemof China remote sensing satellite ground station

  • role: First author第一作者
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • Email:lian@ aircas.ac.cn
  • Introduction:1965E-mail: lian@ aircas.ac.cn
LI An,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

HUANG Peng,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

SHI Lu,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

HE Guojin,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

FENG Xuxiang,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

WU Yewei,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

ZHANG Qing,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

MA Guangbin,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

FENG Ke,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

YANG Jin,  
  • Affiliation:

    China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

LI Jingshan

resumen

Established in 1986, China Remote Sensing Satellite Ground Station (RSGS) is one of China’s major scientific infrastructures and an important member of the International Ground Station (IGS) Network. After more than 30 years of construction, development and operation, RSGS has developed a system that is centered around the Beijing headquarters with five ground stations located in Miyun (operation since 1986), Kashi (since 2008), Sanya (since 2010), Kunming (since 2016), and the Arctic (since 2016). Its real-time data acquisition covers all territory of China and 70% of Asia’s land areas. It is also equipped with the initial ability to acquire global earth observation data efficiently.By the continuous system development and technical improving, RSGS is currently the most compatible and expandable ground receiving system for satellite data in China. Its overall performance has achieved the international advanced standard as some indicators approach the international leading level. For example, S, X and Ka band downlink reception capability with bit rate up to 2×1200Mbps (in X band) and 4×1.5Gbps (in Ka band), satellite signal tracking efficiently for high dynamics and low signal-to-noise ratio case, multiple-satellite data recording and quicklook in real time, high speed data transferring fiber link with bandwidth 200Mbps, 622Mbps or 10Gbps between domestic stations and RSGS headquarter, the worldwide standard LANDSAT, RADARSAT, SPOT and PLEIADES data processing and production system, the on-line archiving data querying/ordering and product delivery system, and the integrated ground station operation management system to monitor and manage the daily data acquisition, recording, transferring and so on.In recent years, the number of domestic and international satellite missions, the data reception passes and successful rate, and the data processing amount are all increasing continuously. From January to September of 2020, RSGS automated the operation of 32 domestic and overseas earth observation satellites as well as China’s Space Science satellites, and the total number of data reception is 42,183 passes with the successful rate 99.8%.RSGS also made a series of technical breakthroughs, including Ka band data reception, the VCM (Variable Coding and Modulation) mode data receiving technology, satellite high speed data recording and quicklook platforms for rapid application, ultra-distance data transmission network, automatic planning for data reception operations, centralized digital 3D virtual simulation monitoring of remote sensing satellite ground station, and etc. Meanwhile, the new data and application products are provided to public, such as Earth Observation Data Sharing Plan, virtual ground station, RTU (Ready-to-Use) data service, InSAR monitoring of land subsidence nationwide, and etc. On the other hand, remote sensing applications were accomplished by the national requirements, such as flood and earthquake monitoring, forest fire investigation, and sea supervision.According to the guidance of national programme, RSGS is carrying out the research and construction of the national civil space infrastructure data receiving system project. In the future, with the enhancement of system capabilities, RSGS will continue to provide China’s earth observation with powerful quantitative support and contribute greatly to national economic development, social progress, and scientific research.

palabra clave

RSGS;national major science and technology infrastructure;satellite data receiving station network;ground system for satellite data

References

  1. 1.
    AIRBUS DEFENCE AND SPACE. 2017. Pléiades Imagery User Guide. 1-2. [2020-05-21]
  2. 2.
    AIRBUS DEFENCE AND SPACE. 2019. SPOT 6/7 User Guide. 1-2. [2020-05-21]
  3. 3.
    Cai H M, Fu C, Jin Y, 2019, A Remote Sensing Image Retrieval Model based on an Ensemble Neural Networks. Big Earth Data, 2(4):351-367
  4. 4.
    Cai M., Jin Y, Fu C, et al. 2018, Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data. Sustainability , 10(12), 4419
  5. 5.
    Gooley T D , Borsi J J and Moore J T . 1996. Automating Air Force Satellite control Network (AFSCN) scheduling. Mathematical & Computer Modelling, 24(2):91-101
  6. 6.
    He G J, Zhang Z M, Jiao W L, Long T F, Peng Y, Wang G Z, Yin R Y, Wang W, Zhang X M, Liu H C, Cheng B and Xiang B. 2018. Generation of ready to use (RTU) products over China based on Landsat series data. Big Earth Data, 2(1):56-64,
  7. 7.
    Jeffrey G M, Vermote E F, Saleous N E, Wolfe R, Hall F G, Huemmrich K F, Gao F, Kutler J and Lim T K. 2006. A Landsat Surface Reflectance Dataset for North America, 1990-2000. IEEE Geoscience and Remote Sensing Letters, 3(1): 68-72
  8. 8.
    Jian B L, Jin Y, Fu C, Qin D,2014, Jing Z,Location-based instant satellite image service: concept and system design, International Journal of Digital Earth ,8(2): 91-101
  9. 9.
    Junyi Yang,Jinshu Chen,Wanyu Wang,Lu Xu. 2012. Joint XPI and ISI Cancellation for Dually-Polarized Radio Systems over Earth-Space Links. Procedia Engineering, 29(2), 3217-3221
  10. 10.
    Long T F, Zhang Z M, He G J, et al. 2019. 30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine. Remote Sensing, 11:489-519
  11. 11.
    Peng Y, He G J, Zhang Z M, Long T F, Wang M M and Ling S G. 2016. Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table. Journal of Applied Remote Sensing, 10(4):045006
  12. 12.
    Spangelo S , Cutler J and Gilson K , et al. 2015. Optimization-based scheduling for the single-satellite, multi-ground station communication problem. Computers & Operations Research, 57:1-16
  13. 13.
    Vermote E F, El Saleous N, Justice C O, Kaufman Y J, Privette J L, Remer L and Tanre D. 1997. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: background, operational algorithm and validation. J. Geophys. Res, 102(D14):17131-17141
  14. 14.
    Vermote E, Justice C, Claverie M and Franch B. 2016. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sensing of Environment, 185:46-56
  15. 15.
    Xhafa F, Herrero X and Barolli A. 2013. Evaluation of struggle strategy in Genetic Algorithms for ground stations scheduling problem. Journal of computer and system sciences, 79(7): 1086-1100
  16. 16.
    Zhang B. 2011,Intelligent remote sensing satellite system, Journal of Remote Sensing, 15(3):416-422
  17. 17.
    Zhang X M, Long T F, He G J, et al. 2020. Rapid generation of global forest cover map using Landsat based on the forest ecological zones. J. Appl. Rem. Sens. 14(2), 022211 (18 March 2020) https://doi.org/10.1117/1.JRS.14.022211
  18. 18.
    Feng Z K, Ge X Q, Zhang H Q, Li A. 2016. Remote sensing data receiving and processing technology. Beijing: Beihang University Press(Chinese).(冯钟葵,葛小青,张洪群,李安等,遥感数据接收与处理技术,北京:北京航空航天大学出版社,2016)
  19. 19.
    He G J, Wang L Z, Ma Y, Zhang Z M, Wang G Z, Peng Y. 2015. Chinese Processing of earth observation big data: Challenges and countermeasures. Science Bulletin(Chinese). 60(5):470-478
  20. 20.
    Li Y F, Wu X Y. 2008. Application of genetic algorithm in satellite data transmission scheduling problem. Systems Engineering-Theory & Practice(Chinese). 28(1):124-131
  21. 21.
    Tang T. 2017. Cross-Polarization Interference Cancellation in High-Rate Data Transmission. Radar Science and Technology(Chinese). 15(06):666-670
  22. 22.
    Wang W Y, Chen J S. 2013. Study on Cross-polarization Interference Cancellation Technology. Telecommunication Engineering(Chinese). 53(6):707-710
  23. 23.
    Wang W Y, Mao W, He Y C. Analysis of remote sensing satellite earth link data transmission technology. Internet of things technologies(Chinese). 7(07):33-36
  24. 24.
    Wang W Y, Wang Y H, Wang Q. 2014. Analysis on XPD requirement of dual-polarized remote satellite data receiving system. Modern Electronics Technique(Chinese). 37(15):45-48, 54 (王万玉, 王永华, 王强. 2014. 双圆极化遥感卫星数据接收系统极化鉴别率需求分析. 现代电子技术, 37(15):45-48, 54)
  25. 25.
    Wang W Y, Zhang B Q, Liu A P, Li J N, Li F, Wang Q. 2012. Design of Data Receiving System for Frequency Reuse High Data Rate Remote Sensing Satellites. Telecommunication Engineering(Chinese). 52(4):423-428
  26. 26.
    Wang W Y, Zhang B Q. 2011. Multi-station Multi-satellite Task Scheduling Model and Solution. Telecommunication Engineering(Chinese). 51(4):1-6
  27. 27.
    Wang X Z, Huang H L, Liu D Y, Zhang Q Y. 2004. The Iteration by Correcting Characteristic Value and Its Application in Surveying Data Processing. Journal of Heilongjiang Institute of Technology(Chinese). 15(2):3-6
  28. 28.
    Wang Y H, Wang W Y. 2013. Analysis of Key Technology for S/X/Ka-band Antenna Feed and Servo System. Telecommunication Engineering(Chinese). 2013,53(08):1058-1063
  29. 29.
    Wu Y W, Zhang H Q, Li A. 2012. Remote sensing satellite baseband data acquisition and distribution system and method. CN2012103 01120.6 (吴业炜, 张洪群, 李安. 2012. 遥感卫星基带数据采集与分发系统及方法. 中国, CN201210301120.6)
  30. 30.
    Yang J, Zhao J. 2012. Research and Implementation of Remote Broadcasting System of HJ-1A/1B Satellite. Remote Sensing Information(Chinese). 027.004(2012):106-110
  31. 31.
    Zhang G, Li D R, Qin X W, Zhu X Y. 2008. Geometric Rectification of High Resolution Spaceborne SAR Image Based on RPC Model. Journal of Remote Sensing(Chinese). 12(006):942-948
  32. 32.
    Zhang Y, Xiong W M, Wang Z G. 2019. Adaptive mode design of near-earth satellite data transmission link for resistance to rainfall attenuation at Ka band. Journal of National University of Defense Technology(Chinese). 41(06):149-155
  33. 33.
    Zhang Y S, Gong D C. 2004. Application of high resolution remote sensing satellite: imaging model, processing algorithm and application technology. Beijing: SCIENCE PRESS(Chinese). 30-31

Leer el texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website