Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 1, 174(2024)

Research on Suspended Matter Concentration Retrieval of SDGSAT-1 Satellite in Lake Taihu Based on Hydrolight Model

Yaping WANG1... Xueke HU1,2, Jiaguo LI2,*, Sheng JIANG3, Xingfeng CHEN2, Limin ZHAO2 and Hongzhen CHEN2 |Show fewer author(s)
Author Affiliations
  • 1School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
  • 2Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100094, China
  • 3Jiangsu Provincial Environmental Monitoring Center, Nanjing 210019, China
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    Figures & Tables(14)
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    • Table 1. Correlation characteristics of suspended matter sensitivity factors

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      Table 1. Correlation characteristics of suspended matter sensitivity factors

      浓度/(g/m3敏感因子相关性浓度/(g/m3敏感因子相关性
      悬浮物叶绿素aCDOM悬浮物叶绿素aCDOM
      注:**表示在0.01级别(双尾)相关性显著。
      [15~48]$ R'({B_3}/{B_5}) $–0.760**0.017–0.367[15~145]$ R'({B_5}/{B_2}) $0.737**–0.0430.101
      $ R'({B_4}/{B_5}) $–0.674**0.292–0.139$ R'({B_5}/{B_3}) $0.766**0.0030.069
      $ R'({B_5}/{B_2}) $0.702**–0.1470.365$ R'({B_5}/{B_4}) $0.729**–0.102–0.032
      $ R'({B_5}/{B_3}) $0.769**0.0810.323$ R'({B_5} - {B_2}) $0.715**–0.114–0.038
      $ R'({B_5}/{B_4}) $0.677**–0.3130.104$ R'({B_5} - {B_3}) $0.745**–0.0260.037
      $ R'({B_2} - {B_5}) $–0.683**0.269–0.129$ R'({B_5} - {B_4}) $0.711**0.0560.244
      $ R'({B_3} - {B_5}) $–0.764**0.035–0.322$ R'({B_2}/{B_5}) $–0.704**0.0003–0.149
      $ R'({B_5} - {B_2}) $0.683**0.2690.129$ R'({B_3}/{B_5}) $–0.731**–0.049–0.115
      $ R'({B_5} - {B_3}) $0.764**0.0350.322$ R'({B_4}/{B_5}) $–0.709**0.0790.010
      (48~80]$ R'({B_3}/{B_5}) $–0.652**0.3300.258$ R'({B_2} - {B_5}) $–0.715**0.1140.038
      $ R'({B_5}/{B_3}) $0.707**0.096–0.029$ R'({B_3} - {B_5}) $–0.745**0.026–0.037
      (80~145]$ R'({B_3}/{B_5}) $0.664**0.181–0.182$ R'({B_4} - {B_5}) $–0.711**–0.056–0.244
      $ R'({B_5}/{B_3}) $–0.702**–0.0730.089
    • Table 2. Comparison of different suspended matter concentration retrieval models constructed with Unknown environment 'document' as the retrieval factor

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      Table 2. Comparison of different suspended matter concentration retrieval models constructed with Unknown environment 'document' as the retrieval factor

      模型名称模型表达式决定系数R2ERMS/(g/m3EMAP/%ENRMS/%
      指数模型ρtsm=3.0564e2.3725x0.79613.0119.6323.62
      线性模型ρtsm=122.19x–86.5030.77913.3522.6828.64
      对数模型ρtsm=134.61ln x+37.4670.75114.4426.3635.10
      二次模型ρtsm=97.614x2–105.035x+41.4550.79511.5018.1422.21
      幂函数模型ρtsm=32.626x2.68010.8179.8913.3918.97
    • Table 3. Error statistics in different concentration intervals

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      Table 3. Error statistics in different concentration intervals

      浓度区间/(g/m3样点个数ERMS/(g/m3EMAP/%ENRMS/%
      [15, 48]269.0116.3815.18
      (48, 80]2010.5010.3916.49
      (80, 145]818.1725.9020.82
      [15, 145]5413.7018.4720.83
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    Yaping WANG, Xueke HU, Jiaguo LI, Sheng JIANG, Xingfeng CHEN, Limin ZHAO, Hongzhen CHEN. Research on Suspended Matter Concentration Retrieval of SDGSAT-1 Satellite in Lake Taihu Based on Hydrolight Model[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(1): 174

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    Paper Information

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    Received: Jan. 19, 2023

    Accepted: --

    Published Online: Apr. 22, 2024

    The Author Email: LI Jiaguo (lijg@aircas.ac.cn)

    DOI:10.3969/j.issn.1009-8518.2024.01.015

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