• Laser & Optoelectronics Progress
  • Vol. 59, Issue 1, 0101001 (2022)
Xinqiang Wang1、2, Qiuyu Liang1、2, Song Ye1、2, Fangyuan Wang1、2, Shu Li1、2, Shan Yin1、2, and Yongying Gan1、2、*
Author Affiliations
  • 1School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin , Guangxi 541004, China
  • 2Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin , Guangxi 541004, China
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    DOI: 10.3788/LOP202259.0101001 Cite this Article Set citation alerts
    Xinqiang Wang, Qiuyu Liang, Song Ye, Fangyuan Wang, Shu Li, Shan Yin, Yongying Gan. Atmospheric Carbon Dioxide Inversion and Surface Reflectance Analysis Based on Ratio Method[J]. Laser & Optoelectronics Progress, 2022, 59(1): 0101001 Copy Citation Text show less
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    [1] Li Y F, Liu Z W, Zhang T Y et al. Development and application of near-infrared laser carbon dioxide gas sensor system[J]. Acta Optica Sinica, 40, 0514003(2020).

    [2] Zhao Q C. Development of a mid-infrared methane and carbon dioxide dual-gas sensor system[J]. Acta Optica Sinica, 40, 2330001(2020).

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    [10] Wu H, Wang X H, Ye H H et al. Retrieval algorithm of atmospheric CO2 for urban underlying surface in Beijing[J]. Journal of Remote Sensing, 23, 1223-1231(2019).

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    [12] Jiang Y, Ye H H, Wang X H et al. Correction of effect of plant chlorophyll fluorescence based on optical path distribution method[J]. Acta Optica Sinica, 39, 0401002(2019).

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    Xinqiang Wang, Qiuyu Liang, Song Ye, Fangyuan Wang, Shu Li, Shan Yin, Yongying Gan. Atmospheric Carbon Dioxide Inversion and Surface Reflectance Analysis Based on Ratio Method[J]. Laser & Optoelectronics Progress, 2022, 59(1): 0101001
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