Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 1, 94(2025)

Multidimensional Evaluation and Uncertainty Analysis of XCH4 Data from GOSAT-2 and Sentinel-5p

Mingxiu CHEN1, Lili ZHANG2,3,4、*, Tao YU1,2,3, Wenhao ZHANG1, Chunmei WANG2, and Fan GUO1
Author Affiliations
  • 1School of Remote Sensing and Information Engineering,North China Institute of Aerospace Engineering, Langfang 065000, China
  • 2National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Beijing 100094, China
  • 3Langfang Research and Development Center for Spatial Information Technology, Langfang 065001, China
  • 4Key Laboratory of Earth Observation of Hainan Province, Aerospace Information Research Institute (Hainan), Sanya 572029, China
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    Figures & Tables(11)
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    • Table 1. Statistical table of parameters of GOSAT-2

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      Table 1. Statistical table of parameters of GOSAT-2

      发射时间轨道高度幅宽重返周期空间分辨率探测模式
      2018年10月613 km903 km6 d9.7 km天底/耀斑/目标
    • Table 2. Volume statistics table after completing preprocessing of GOSAT-2

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      Table 2. Volume statistics table after completing preprocessing of GOSAT-2

      数据版本平均数据量/(条/天)平均有效数据量/(条/天)平均文件数量/(个/天)全年有数据时间/d
      V0107版本8 913.883 219.531355
      V0200版本8 914.511 639.181355
    • Table 3. Statistical table of parameters of Sentinel-5p

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      Table 3. Statistical table of parameters of Sentinel-5p

      发射时间轨道高度幅宽重返周期空间分辨率观测模式
      2017年10月824 km2 600 km16 d7 km天底
    • Table 4. Volume statistics table after completing preprocessing of Sentinel-5p

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      Table 4. Volume statistics table after completing preprocessing of Sentinel-5p

      数据版本平均数据量/(条/天)平均有效数据量/(条/天)平均数据量/(条/天)平均有效数据量/(条/天)日均轨道数量/次全年有数据时间/d
      OFFL版本12 564 892.54507 114.62886 933.5935 796.3214.16366
      RPRO版本685 582.4312 559 706.69886 909.6348 412.7214.16366
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    Mingxiu CHEN, Lili ZHANG, Tao YU, Wenhao ZHANG, Chunmei WANG, Fan GUO. Multidimensional Evaluation and Uncertainty Analysis of XCH4 Data from GOSAT-2 and Sentinel-5p[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(1): 94

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    Paper Information

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    Received: Jun. 14, 2024

    Accepted: --

    Published Online: Sep. 17, 2025

    The Author Email: Lili ZHANG (zhangll203913@aircas.ac.c)

    DOI:10.3969/j.issn.1009-8518.2025.01.009

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