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    Journals >Acta Optica Sinica >Volume 43 >Issue 18 >Page 1899904 > Article
    • Acta Optica Sinica
    • Vol. 43, Issue 18, 1899904 (2023)
    Satellite Sensors and Retrieval Algorithms of Atmospheric Methane
    Zhuo He1、2, Zhengqiang Li1、2、*, Cheng Fan1, Ying Zhang1、2, Zheng Shi1、2, Yang Zheng1, Haoran Gu1、3, Jinji Ma3, Jinhui Zuo1、2, Yinghui Han2, Yuanxun Zhang2, Kai Qin4, Hao Zhang1、2, Wenbin Xu5, and Jun Zhu6
    Author Affiliations
  • 1State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Geography and Tourism, Anhui Normal University, Wuhu 241003, Anhui, China
  • 4School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
  • 5Beijing Institute of Environmental Features, Beijing 100143, China
  • 6DFH Satellite Co., Ltd., Beijing 100094, China
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    DOI: 10.3788/AOS230429 Cite this Article Set citation alerts
    Zhuo He, Zhengqiang Li, Cheng Fan, Ying Zhang, Zheng Shi, Yang Zheng, Haoran Gu, Jinji Ma, Jinhui Zuo, Yinghui Han, Yuanxun Zhang, Kai Qin, Hao Zhang, Wenbin Xu, Jun Zhu. Satellite Sensors and Retrieval Algorithms of Atmospheric Methane[J]. Acta Optica Sinica, 2023, 43(18): 1899904 Copy Citation Text show less
    Comparison of satellite observations of atmospheric methane in different ways[27]
    Fig. 1. Comparison of satellite observations of atmospheric methane in different ways[27]
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    Spatial resolution and spectral resolution of methane satellite sensors
    Fig. 2. Spatial resolution and spectral resolution of methane satellite sensors
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    Schematic of a two-frequency integrated path differential absorption lidar measurement[86]
    Fig. 3. Schematic of a two-frequency integrated path differential absorption lidar measurement[86]
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    Schematic of a neural network with 2 hidden layers[114]
    Fig. 4. Schematic of a neural network with 2 hidden layers[114]
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    CH4 missions or satellites planned internationally in the coming years
    Fig. 5. CH4 missions or satellites planned internationally in the coming years
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    Satellite/sensorLaunch dateCountry / unionAltitude / kmMethane band /μmSpectral resolution /nmSpatial resolutionPrecision
    ADEOS/IMGAugust 1996Japan8037.80.918 km×8 km4%（Clerbaux et al.，2003）
    Aqua/AIRSMay 2002United States7057.66.33

    H：13.5 km

    V：1 km

    		1.5%（Xiong et al.，2010）
    SCISAT-1/ACE-FTSAugust 2003Canada6503.46-3.83，6.84-8.030.12H：500 km，V：1–2 km<25%（De Mazière et al.，2007）
    Aura/TESJuly 2004United States7057.64-7.740.590.53 km×5.3 km<3.5%（Wecht et al.，2012）
    MetOp/IASIOctober 2006European Union827/8177.14-8.332.964 km×12 km1.20%（Xiong et al.，2013）
    MetOp -SG A/IASI-NG2024European Union8353.7，7.71.484 km×4 km—
    Table 1. Performance of typical thermal infrared satellites and sensors at home and abroad
    Satellite/sensorLaunch dateCountry/unionAltitude / kmMethane band /μmSpectral resolution /nmSpatial resolutionPrecision
    Envisat/SCIAMACHYMarch 2002European Union8001.63-1.671.4860 km×30 km1.5%（Frankenberg et al.，2006）
    GOSAT/TANSO-FTSJanuary 2009Japan6661.60.0510.5 km×10.5 km0.7%（Kuze et al.，2016）
    GOSAT-2/TANSO-FTS-2October 2018Japan6131.670.059.7 km×9.7 km0.26%（NIES，2021）
    Sentinel-5P/TROPOMIOctober 2017European Union8242.30.257 km×5.5 km0.8%（Lorente et al.，2021）
    GF-5/GMIMay 2018China7081.650.0710.3 km×10.3 km—
    FY-3D/GASJanuary 2019China8361.65，2.30.07，0.1410 km×10 km—
    GOSAT-GW/TANSO-32024Japan6661.60.210 km/1-3 km0.5%（NIES，2021）
    Sentinel-5/UVNS2024European Union81751.67，2.30.257 km×7 km—
    CO2M2025European Union6021.650.32 km×2 km0.53%（Sierk et al.，2021）
    FY-3H/GAS-22024China8361.6，2.30.07，0.103 km×3 km—
    TanSat-22025China—2.30.11<2 km×2 km0.53%（Liu et al.，2022）
    GHGSat2016/2020/2021/2022Canada512-5501.63-1.670.3-0.725 m×25 m0.95%（Jervis et al.，2021）
    GF-5/AHSIMay 2018China7082.11-2.451030 m×30 m3.3%（Irakulis-Loitxate et al.，2021）
    PRISMA/HYCMarch 2019Italy6152.11-2.451030 m×30 m7.8%（Irakulis-Loitxate et al.，2021）
    EnMAP/HSIApril 2022Germany6532.2-2.41030 m×30 m3%-7%（Cusworth et al.，2019）
    EMITJuly 2022United States4002.2-2.47-1060 m×60 m—
    MethaneSAT2023United States—1.60-1.680.3100 m×400 m0.1%（Rohrschneider et al.，2021）
    Carbon Mapper2023United States4002.3530 m×30 m—
    Table 2. Typical short-wave infrared satellites and sensors at home and abroad
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    Zhuo He, Zhengqiang Li, Cheng Fan, Ying Zhang, Zheng Shi, Yang Zheng, Haoran Gu, Jinji Ma, Jinhui Zuo, Yinghui Han, Yuanxun Zhang, Kai Qin, Hao Zhang, Wenbin Xu, Jun Zhu. Satellite Sensors and Retrieval Algorithms of Atmospheric Methane[J]. Acta Optica Sinica, 2023, 43(18): 1899904
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