Development status and literature analysis of China’s earth observation remote sensing satellites

  • role: First author第一作者
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

  • Email:sunweiwei@nbu.edu.cn
  • Introduction:19853SE-mail:sunweiwei@nbu.edu.cn
SUN Weiwei1,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

YANG Gang1,  
  • Affiliation:

    Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China

CHEN Chao2,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

CHANG Minghui1,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

HUANG Ke1,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

MENG Xiangzhen1,  
  • Affiliation:

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100044, China

LIU Liangyun3

ملخص

Over the past 40 years, China has attained remarkable achievements in the development of earth observation remote sensing satellite technology. At present, the country has established three main satellite systems, including terrestrial, meteorological, and marine systems, which have been widely used in numerous applications, such as natural resource investigation, marine environmental protection, weather disaster prediction, and other major national projects. This study reviews the development history of the three major satellite systems, analyzes the development status and inherent characteristics of China’s Earth observation remote sensing satellites, and implements the CiteSpace software to summarize the research hotspot literature for all in-orbit remote sensing satellites. The terrestrial remote sensing satellite system has developed rapidly, especially in terms of small commercial satellites. Terrestrial remote sensing satellites comprise four series, including the ZiYuan, GaoFen, HuanJing/ShiJian, and other small satellites. Satellite sensors are rich, and their high spatiotemporal resolution can reach up to 0.5 m. However, they can encounter typical problems, such as uneven development, close-proximity orbital heights, and overlapping spectral ranges in similar sensors. The development of the meteorological remote sensing satellite system is the most mature among the three satellite systems. Two series of polar orbiting and stationary satellites can well detect most atmospheric elements. However, meteorological satellites are few, the spatiotemporal resolution of their sensors is relatively low, and current sensors cannot finely detect certain critical elements, such as the atmospheric wind field. The marine remote sensing satellite system has likewise made significant progress. It consists of three major satellite patterns, namely, marine water color, marine dynamic environment, and marine surveillance and monitoring satellites, which can achieve large-scale simultaneous observation of Chinese marine environments. However, this system also consists of few marine satellites, limited sensor observation elements, and low satellite sensor spatiotemporal resolution. Moreover, hotspot literature analysis shows that the total number of studies on China’s Earth observation satellites is relatively small. The disproportional ratio of articles indexed by SCI and CNKI is serious, especially on the GaoFen and ZiYuan terrestrial satellites. Numerous studies on China’s Earth satellites focus on data processing, but the application aspect is relatively weak and uneven.Therefore, the future launching of terrestrial remote sensing satellites to develop new sensors, such as lidars, is suggested. Furthermore, different orbital heights as well as the complementarity of the spectral range of different sensors should be considered. The meteorological system should launch additional satellites to carry out networking observations, improve detection capabilities for all meteorological elements, and promote the spatiotemporal resolution of new sensors to meet the refined requirements of weather forecasting and disaster monitoring. The marine remote sensing satellite system should likewise launch more satellites and shorten the launching cycle of similar satellites, improve detection capabilities for marine elements, promote the spatiotemporal resolution of new sensors, and accelerate its transformation from scientific to business-oriented research. Finally, researchers should be encouraged to utilize domestic satellite data and explore relevant studies to promote the advanced techniques of China’s Earth observation satellites.

مفهوم

China’s earth observation;remote sensing;terrestrial satellite;meteorological satellite;marine satellite;literature analysis

References

  1. 1.
    Bai Z G. 2013. Technical characteristics of Gaofen-1 satellite. China Aerospace, (8): 5-9
  2. 2.
    Bai Z G. 2019. Development achievements and prospects of China modern small satellite. Spacecraft Engineering, 28(2): 1-8
  3. 3.
    Cao H Y, Gao H T and Zhao C G. 2018. Development of China land quantitative remote sensing satellite technology. Spacecraft Engineering, 27(4): 1-9
  4. 4.
    Chen X Y, Zhang J, Tong C, Liu R J, Mu B and Ding J. 2019. Retrieval algorithm of chlorophyll-a concentration in turbid waters from satellite HY-1C coastal zone imager data. Journal of Coastal Research, 90(sp1): 146-155
  5. 5.
    Chen L Z and Lei B. 2019. Marine science and technology development over the past 70 years in China. Haiyang Xuebao, 41(10): 3-22
  6. 6.
    Chen W R, Zhang W H, Yuan Z and Su W B. 2019. Development of land observation satellite data services in China. Satellite Applications, (10): 20-23
  7. 7.
    De Oliveira Lino C, Lima M G R and Hubscher G L. 2000. CBERS—An international space cooperation program. Acta Astronautica, 47(2/9: 559-564
  8. 8.
    Di D, LI J, Han W, Bai W G, Wu C Q and Paul Menzel W. 2018. Enhancing the fast radiative transfer model for FengYun-4 GIIRS by using local training profiles. Journal of Geophysical Research: Atmospheres, 123(22): 12583-12596
  9. 9.
    Dong C H, Yang J, Zhang W J, Yang Z D, Lu N M, Shi J M, Zhang P, Liu Y J and Cai B. 2009. An overview of a new Chinese weather satellite FY-3A. Bulletin of the American Meteorological Society, 90(10): 1531-1544
  10. 10.
    Du S S, Liu L Y, Liu X J, Zhang X, Zhang X Y, Bi Y M and Zhang L C. 2018. Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite. Science Bulletin, 63(22): 1502-1512
  11. 11.
    Grelier T, Amiot T, Tison C, Delaye L, Hauser D and Castillan P. 2016. The SWIM instrument, a wave scatterometer on CFOSAT mission//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, China: IEEE: 5793-5796
  12. 12.
    Gu X F and Tong X D. 2015. Overview of China earth observation satellite programs [space agencies]. IEEE Geoscience and Remote Sensing Magazine, 3(3): 113-129
  13. 13.
    Guo H D. 2012. China’s Earth observing satellites for building a Digital Earth. International Journal of Digital Earth, 5(3): 185-188
  14. 14.
    Guo H D, Fu W X, Li X W, Chen P, Liu G, Li Z, Wang C, Dong Q, Lei L P, Bai L Y and Liu Q J. 2014. Research on global change scientific satellites. Science China Earth Sciences, 57(2): 204-215
  15. 15.
    Guo H D, Fu W X and Liu G. 2019. Chinese earth observation satellites//Guo H D, Fu W X and Liu G, eds. Scientific Satellite and Moon-Based Earth Observation for Global Change. Singapore: Springer: 189-243
  16. 16.
    Hauser D, Tison C, Amiot T, Delaye L, Mouche A, Guitton G, Aouf L and Castillan P. 2016a. CFOSAT: a new Chinese-French satellite for joint observations of ocean wind vector and directional spectra of ocean waves//SPIE 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges. New Delhi, India: SPIE: 98780T
  17. 17.
    Hauser D, Dong X L, Aouf L, Tison C and Castillan P. 2016b. Overview of the CFOSAT mission//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, China: IEEE: 5789-5792
  18. 18.
    He Y H, Shi L S, Zhang R H, Han Y, Sun Y, Zhao D L, Lin W J, Wu H P and Xin L X. 2007. Application research of CBERS-02 data in land-use survey. China Land Science, 21(2): 51-57
  19. 19.
    Hou S Y and Liu H. 2015. Chinese satellite programs: an internal view//Schrogl K U, Hays P, Robinson J, Moura D and Giannopapa C, eds. Handbook of Space Security: Policies, Applications and Programs. Handbook of Space Security. New York: Springer: 885-898
  20. 20.
    Hu X Q, Lu N M and Qiu H. 2006. Development of aerosol retrieval algorithm over global ocean using FY-1C/1D data. Acta Oceanologica Sinica, 28(2): 56-65
  21. 21.
    Huang W, Sun S R, Jiang H B, Gao C and Zong X Y. 2018. GF-2 satellite 1m/4m camera design and in-orbit commissioning. Chinese Journal of Electronics, 27(6): 1316-1321
  22. 22.
    Jiang Y H, Zhang G, Tang X M, Li D R and Huang W C. 2014. Detection and correction of relative attitude errors for ZY1-02C. IEEE Transactions on Geoscience and Remote Sensing, 52(12): 7674-7683
  23. 23.
    Jiang Y H, Wang J Y, Zhang L, Zhang G, Li X and Wu J Q. 2019. Geometric processing and accuracy verification of Zhuhai-1 hyperspectral satellites. Remote Sensing, 11(9): 996
  24. 24.
    Jiang W, He G J, Long T F, Guo H X, Yin R Y, Leng W C, Liu H C and Wang G Z. 2018. Potentiality of using Luojia 1-01 nighttime light imagery to investigate artificial light pollution. Sensors, 18(9): 2900
  25. 25.
    Jiang X W, Lin M S and Zou Y R. 2016. Progress and application of China ocean satellites. Satellite Application, (6): 17-23
  26. 26.
    Jiang X W, He X Q, Lin M S, Gong F, Ye X M and Pan D L. 2019. Progresses on ocean satellite remote sensing application in China. Haiyang Xuebao, 41(10): 113-124
  27. 27.
    Li B B, Han B, Tian T, Zhu R F and Bai Y. 2018. Application status and future development of Jilin-1 video satellite. Satellite Application, (3): 25-29
  28. 28.
    Li D R. 2012. China’s first civilian three-line-array stereo mapping satellite: ZY-3. Acta Geodaetica et Cartographica Sinica, 41(3): 317-322
  29. 29.
    Li G P and Cao C X. 2010. Development of environmental monitoring satellite systems in China. Science China Earth Sciences, 53(1): 1-7
  30. 30.
    Li S Q, Bi F, Hou Y J and Yang H W. 2018. Characterization of wind-sea and swell in the South China Sea based on HY-2 satellite data. Journal of Coastal Research, 84(sp1: 58-62
  31. 31.
    Li X, Li X Y, Li D R, He X J and Jendryke M. 2019a. A preliminary investigation of Luojia-1 night-time light imagery. Remote Sensing Letters, 10(6): 526-535
  32. 32.
    Li X X, Ma T Z, Xie W L, Zhang K K, Huang J X and Ren X D. 2019b. FY-3D and FY-3C onboard observations for differential code biases estimation. GPS Solutions, 23(2): 57
  33. 33.
    Li Y, Tao Z G, Li S M, Guo Z S, Shi J and Gao C D. 2012. Mapping satellite-1 in-orbit performance evaluation. Journal of Remote Sensing, 16(S1): 40-47
  34. 34.
    Li Z R, Zhang K, Li D L and Li X M. 2017. Analysis of the characteristics of ZY-1-02C satellite PMS data. Geospatial Information, 15(1): 29-31, 39
  35. 35.
    Lian M L, Shi Z C, Wang Y and Dong J. 2016. Design and verification of the staring camera on board GF-4 satellite. Spacecraft Recovery and Remote Sensing, 37(4): 32-39
  36. 36.
    Liang H, Bao S L, Chen Q, Zhao X M and Li Y F. 2017. Design and implementation of FY-4 geostationary lightning imager. Aerospace Shanghai, 34(4): 43-51
  37. 37.
    Lin M S, Zhang Y G and Yuan X Z. 2015. The development course and trend of ocean remote sensing satellite. Haiyang Xuebao, 37(1): 1-10
  38. 38.
    Lin M S and Zhang Y G. 2018. Application status and development prospects of marine dynamics environmental satellites in China. Satellite Application, (5): 19-23
  39. 39.
    Lin M S, He X Q, Jia Y J, Bai Y, Ye X M and Gong F. 2019. Advances in marine satellite remote sensing technology in China. Haiyang Xuebao, 41(10): 99-112
  40. 40.
    Liu J J, Zhang J, Li Z, Zhang G, Du W, Zhao W H and Liu J W. 2018. Technical framework of 1: 10000 cartographic element extraction based on GF-7 satellite. Geomatics World, 25(6): 58-61
  41. 41.
    Liu J and Zhang Q J. 2018. Gaofen-3 satellite and applications. Satellite Application, (6): 12-16 (刘杰, 张庆君. 2018. 高分三号卫星及应用概况. 卫星应用, (6): 12-16
  42. 42.
    Liu J Y, Xin C L, Wu H G, Zeng Q W and Shi J J. 2019. Potential application of GF-6 WFV data in forest types monitoring. Spacecraft Recovery and Remote Sensing, 40(2): 107-116
  43. 43.
    Liu Y N. 2018. Visible-shortwave infrared hyperspectral imager of GF-5 satellite. Spacecraft Recovery and Remote Sensing, 39(3): 25-28
  44. 44.
    Liu Y, Liu Y X, Chen G X and Wu Z L. 2019. Evaluation of HY-2A satellite-borne water vapor radiometer with shipborne GPS and GLONASS observations over the Indian Ocean. GPS Solutions, 23(3): 87
  45. 45.
    Lu C L, Wang R and Yin H. 2014. GF-1 satellite remote sensing characters. Spacecraft Recovery and Remote Sensing, 35(4): 67-73
  46. 46.
    Lu C L and Bai Z G. 2015. Characteristics and typical applications of GF-1 satellite//2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Milan, Italy: IEEE: 1246-1249
  47. 47.
    Lu N M and Gu S Y. 2016. Review and prospect on the development of meteorological satellites. Journal of Remote Sensing, 20(5): 832-841
  48. 48.
    Lu N M, Zheng W, Wang X, Gao L, Liu Q H, Wu S L, Jiang J Y, Gu S Y and Fang X. 2017. Overview of meteorological satellite and its data application in weather analysis, climate and environment disaster monitoring. Journal of Marine Meteorology, 37(1): 20-30
  49. 49.
    Pan D L, He X Q, Li S J and Gong F. 2003. Study on application potentiality of the first China’s ocean satellite HY-1A. Acta Oceanologica Sinica, 22(4): 503-510
  50. 50.
    Pan D L, Gong F and Chen J Y. 2009. The Chinese environment satellite mission status and future plan//SPIE 7474, Sensors, Systems, and Next-Generation Satellites XIII. Berlin, Germany: SPIE: 747424
  51. 51.
    Pan T. 2015. GF-2 satellite charcteristic. Aerospace China, (1): 3-9.
  52. 52.
    Ran Q, Chi Y B, Wang Z Y and Chen Z C. 2009. Image-based nNoise estimation of BJ-1 small satellite image. Journal of Remote Sensing, 13(3): 554-558
  53. 53.
    Ran Y H and Li X. 2019. TanSat: a new star in global carbon monitoring from China. Science Bulletin, 64(5): 284-285
  54. 54.
    Sun J L, Yu W D and Deng Y K. 2017. The SAR payload design and performance for the GF-3 mission. Sensors, 17(10): 2419
  55. 55.
    Sun Y Z, Jaing G W, Li Y D, Yang Y, Dai H S, He J, Ye Q H, Cao Q, Dong C Z, Zhao S H and Wang W H. 2018. GF-5 satellite: overview and application prospects. Spacecraft Recovery and Remote Sensing, 39(3): 1-13
  56. 56.
    Tang S H, Qiu H and Ma G. 2016. Review on progress of the Fengyun meteorological satellite. Journal of Remote sensing, 20(5): 842-849
  57. 57.
    Tang X M and Hu F. 2018. Development status and trend of satellite mapping. Spacecraft Recovery and Remote Sensing, 39(4): 26-35
  58. 58.
    Tang X M, Xie J F, Liu R, Huang G H, Zhao C G, Zhen Y, Tang H Z and Dou X H. 2020. Overview of the GF-7 laser altimeter system mission. Earth and Space Science, 7(1): e2019EA000777
  59. 59.
    Tang Y, Wang L J, Ma G C, Jia H J and Jin X. 2019. Emergency monitoring of high-level landslide disasters in Jinsha River using domestic remote sensing satellites. Journal of Remote Sensing, 23(2): 252-261
  60. 60.
    Tong X D, Zhao W B, Xing J and Fu W. 2016. Status and development of China High-Resolution Earth Observation System and application//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, China: IEEE: 3738-3741
  61. 61.
    Tong X D. 2016. Development of China high-resolution earth observation system. Journal of Remote Sensing, 20(5): 775-780
  62. 62.
    Wang D Z and He H Y. 2017. Observation capability and application prospect of GF-4 satellite. Spacecraft Recovery and Remote Sensing, 38(1): 98-106
  63. 63.
    Wang H, Zhu J H, Lin M S, Zhang Y G and Chang Y T. 2019. Evaluating Chinese HY-2B HSCAT ocean wind products using buoys and other scatterometers. IEEE Geoscience and Remote Sensing Letters
  64. 64.
    Wang H Y, He W and Feng C. 2019. Development of Land Observation Satellite Application Technology in China. Satellite Applications, (10): 24-26
  65. 65.
    Wang J R, Wang R X, Hu X and Su Z B. 2017. The on-orbit calibration of geometric parameters of the Tian-Hui 1 (TH-1) satellite. ISPRS Journal of Photogrammetry and Remote Sensing, 124: 144-151
  66. 66.
    Wang Q, Wu C Q, Li Q and Li J S. 2010. Chinese HJ-1A/B satellites and data characteristics. Science China Earth Sciences, 53(1): 51-57
  67. 67.
    Wang Q, Wu C Q and Li Q. 2010. Environment satellite 1 and its application in environmental monitoring. Journal of Remote Sensing, 14(1): 104-121
  68. 68.
    Wang Q and Liu S H. 2016. Research and implementation of national environmental remote sensing monitoring system. Journal of Remote Sensing, 20(5): 1161-1169
  69. 69.
    Wang R, Li S L and Deng W. 2014. Tian Hui-1 satellite and its application. Satellite Application, (6): 21-23
  70. 70.
    Wang S, Jin R and Zhu J D. 2018. Super View-1-China’s first commercial remote sensing satellite constellation with a high resolution of 0.5 m Aerospace China, (1): 31-38
  71. 71.
    Wang S H, Huang C P, Zhang L F, Gao X L and Fu A M. 2019. Designment and assessment of far-red solar-induced chlorophyll fluorescence retrieval method for the terrestrial ecosystem carbon inventory satellite. Remote Sensing Technology and Application, 34(3): 476-487
  72. 72.
    Wang T Y, Zhang G, Li D R, Tang X M, Jiang Y H, Pan H B, Zhu X Y and Fang C. 2014. Geometric accuracy validation for ZY-3 satellite imagery. IEEE Geoscience and Remote Sensing Letters, 11(6): 1168-1171
  73. 73.
    Wang Z Z, Li J Y, He J Y, Zhang S W, Gu S Y, Li Y, Guo Y and He B Y. 2019. Performance analysis of microwave humidity and temperature sounder onboard the FY-3D satellite from prelaunch multiangle calibration data in thermal/vacuum test. IEEE Transactions on Geoscience and Remote Sensing, 57(3): 1664-1683
  74. 74.
    Wen Q, Yan M, Yang B X, Wang Z Y, Wu F, He S S and Tong Q X. 2013. On-orbit imaging quality assessment of SJ-9A satellite high performance optical small camera. Spacecraft Recovery and Remote Sensing, 34(4): 1-9
  75. 75.
    Xiao A R, Wang Z Y, Wang L and Ren Y X. 2018. Super-resolution for “Jilin-1” satellite video imagery via a convolutional network. Sensors, 18(4): 1194
  76. 76.
    Xiong W. 2019. Greenhouse gases monitoring instrument (GMI) on GF-5 satellite (invited). Infrared and Laser Engineering, 48(3): 16-22
  77. 77.
    Xu G H, Liu Q H, Chen L F and Liu L Y. 2016. Remote sensing for China’s sustainable development: opportunities and challenges. Journal of Remote Sensing, 20(5): 679-688
  78. 78.
    Xu J M, Yang J, Zhang Z Q and Sun A L. 2010. Chinese meteorological satellitas, achievements and applications. Meteorological Monthly, 36(7): 94-100
  79. 79.
    Xu W, Gong J Y and Wang M. 2014. Development, application, and prospects for Chinese land observation satellites. Geo-spatial Information Science, 17(2): 102-109
  80. 80.
    Xu Y, Liu J Q, Xie L L, Sun C R, Liu J P and Li J Y. 2019. China-France Oceanography Satellite (CFOSAT) simultaneously observes the typhoon-induced wind and wave fields. Haiyang Xuebao, 38(11): 158-161
  81. 81.
    Yang J, Xian D and Tang S H. 2018. The lateset progress and application of Fengyun series meteorological satellite. Satellite Application, (11): 8-14
  82. 82.
    Yang Z D, Gu S Y, Qiu H, Huang Q and Fan T X. 2003. Research on the algorithm of cross calibration about IRMSS aboard on CBERS-1. Journal of Infrared and Millimeter Waves, 22(4): 281-285
  83. 83.
    Yang Z D, Lu N M, Shi J M, Zhang P, Dong C H and Yang J. 2013. Overview of Fy-3 payload and ground application system. Advances in Met S&T, 3(4): 6-12
  84. 84.
    Ye X M, Lin M S and Xu Y. 2015. Validation of Chinese HY-2 satellite radar altimeter significant wave height. Aata Oceanologica Sinica, 34(5): 60-67
  85. 85.
    Yuan X Z, Lin M S, Liu J Q, Xie C H, Zhao L B, Ye X M, Zou Y R, Zeng T, Zhu H T, An W T and Cui L M. 2018. Application of GF-3 satellite in marine field. Satellite Application, (6): 17-21
  86. 86.
    Zhang H P, Su Y, Shang J, Yang L, Cai B W, Liu C B, Wang J, Zhou S X and Zhang Z Q. 2018. Accurate star centroid detection for the advanced geosynchronous radiation imager of Fengyun-4A. IEEE Access, 6: 7987-7999
  87. 87.
    Zhang P, Lu Q F, Hu X Q, Gu S Y, Yang L, Min M, Chen L, Xu N, Sun L, Bai W G, Ma G and Xian D. 2019. Latest progress of the Chinese meteorological satellite program and core data processing technologies. Advances in Atmospheric Sciences, 36(9): 1027-1045
  88. 88.
    Zhang Q J. 2017. System design and key technologies of the GF-3 satellite. Acta Geodaetica et Cartographica Sinica, 46(3): 269-277
  89. 89.
    Zhang Q J. 2018. Optical remote sensing technology progress promoted by ZY-1 Series satellites. Spacecraft Recovery and Remote Sensing, 39(4): 45-54
  90. 90.
    Zhang Q J and Zhao L B. 2018. Review of China ocean satellite. Satellite Application, (5): 28-31.
  91. 91.
    Zhang R N and Jiang X P. 2014. System design and in-orbit verification of the HJ-1-C SAR satellite. Journal of Radars, 3(3): 249-255
  92. 92.
    Zhang X Y, Zhou M Q, Wang W H and Li X J. 2015. Progress of global satellite remote sensing of atmospheric compositions and its' applications. Science and Technology Review, 33(17): 13-22
  93. 93.
    Zhang Z Q, Lu F, Fang X, Tang S H, Zhang X H, Xu Y L, Han W, Nie X P, Shen Y B and Zhou Y Q. 2017. Application and development of FY-4 Meteorological satellite. Aerospace Shanghai, 34(4): 8-19
  94. 94.
    Zhao M J, Si F Q, Zhou H J, Wang S M and Jiang Y. 2019. Level 0~1 processor of spaceborne environmental trace gases monitoring instrument. Journal of Atmospheric and Environmental Optics, 14(1): 66-73
  95. 95.
    Zhao S H, Wang Q, Li Y, Liu S H, Wang Z T, Zhu L and Wang Z F. 2017. An overview of satellite remote sensing technology used in China’s environmental protection. Earth Science Informatics, 10(2): 137-148
  96. 96.
    Zhong L and Liu X S. 2019. Application potential analysis of LJ1-01 new nighttime light data. Bulletin of Surveying and Mapping, (7): 132-137.
  97. 97.
    Zhou C Y, Li Q, Liu S H, Zhao S H, Cheng L X, Yu C, Chen L F, Wang Z T, Zhang L H, Bian Z J and He Y X. 2019. Introduction of GF-5 satellite and ability of monitoring NO2 and O3 column density from EMI//2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama, Japan: IEEE: 8796-8798
  98. 98.
    Zhou Y J, Tian Q J and Zhang X H. 2008. CBERS-02B CCD image data quality evaluation and application potential for vegetation classification. Remote Sensing Information, (6): 47-52

قراءة النص الكامل

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