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Research on sea surface altimetry model of airborne GNSS reflected signal
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Yun Zhang1, Yangyang Zhang1, Wanting Meng2, Shuhu Yang1, Yanling Han1
Haiyang Xuebao | 2020, 42(3) : 149 - 156
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Haiyang Xuebao | 2020, 42(3): 149-156
• Marine Information Science •
Research on sea surface altimetry model of airborne GNSS reflected signal
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Yun Zhang1, Yangyang Zhang1, Wanting Meng2, Shuhu Yang1, Yanling Han1
Affiliations
  • 1 College of Information, Shanghai Ocean University, Shanghai 201306, China
  • 2 Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China
Published: 2020-03-25 doi: 10.3969/j.issn.0253-4193.2020.03.015
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Compared with shore-based GNSS-R technology, the airborne GNSS-R has the advantages of high spatial resolution, wide monitoring range, high-resolution monitoring of specific areas, and flexible height and azimuth adjustments. This paper mainly studies the airborne GNSS-R altimetry model, based on the shore-based GNSS-R code altimetry principle, corrects the atmospheric delay, antenna distance, etc., optimizes the airborne altimetry model, and uses the DTU10 global sea level average height and tide. The model verifies the accuracy of the onboard GNSS-R altimetry model. By analyzing the GNSS-R airborne data of the CSIC-IEEC in the Baltic Sea in Finland on November 11, 2011, the inversion of the experimental data at different elevation angles was successfully carried out, and the inversion of the sub-meter airborne sea surface height was successfully achieved. The conclusion that the elevation angle has a great influence on the accuracy of the altimetry results qualitatively analyzes the error range caused by the elevation angle. The results of this paper demonstrate the feasibility of sea level altimetry for airborne GNSS-R.

GNSS-R  /  airborne experiment  /  sea surface altimetry  /  accuracy analysis
Yun Zhang, Yangyang Zhang, Wanting Meng, Shuhu Yang, Yanling Han. Research on sea surface altimetry model of airborne GNSS reflected signal[J]. Haiyang Xuebao, 2020 , 42 (3) : 149 -156 . DOI: 10.3969/j.issn.0253-4193.2020.03.015
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doi: 10.3969/j.issn.0253-4193.2020.03.015
  • Receive Date：2019-02-22
  • Online Date：2026-03-26
  • Published：2020-03-25
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  • Received：2019-02-22
  • Revised：2019-09-06
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Affiliations
    1 College of Information, Shanghai Ocean University, Shanghai 201306, China
    2 Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China
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https://castjournals.cast.org.cn/joweb/hyxb/EN/10.3969/j.issn.0253-4193.2020.03.015
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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