Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 2, 221(2024)

Retrieval of vegetation fluorescence based on GMI remote sensing data

WANG Xiaodi1...2,*, WANG Xianhua1, SHI Hailiang1, YE Hanhan1, LI Chao1,2, AN Yuan1,2, and SUN Erchang12 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 2University of Science and Technology of China, Hefei 230026, China
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    Solar-induced chlorophyll fluorescence can indicate the physiological state of vegetation directly. As vegetation is an important sink, it is of great significance of using greenhouse gas satellite remote sensing data to retrieve vegetation chlorophyll fluorescence for analyzing the sources and sinks of atmospheric greenhouse gases. Based on the GF-5 satellite "Atmospheric Major Greenhouse Gas Monitor (GMI)" and U.S. OCO-2 remote sensing data, the retrieval of chlorophyll fluorescence for the GMI satellite remote sensing data of Amazon forest, Sahara desert and African grassland regions in January and July 2019 is conducted using the oxygen absorption line fitting method, and the results are compared with OCO-2 data fluorescence products. The retrieval results show that the GMI data presents a good result in the retrieval of chlorophyll fluorescence intensity compared with U.S. OCO-2 data in two research periods of the three research areas.

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    Xiaodi WANG, Xianhua WANG, Hailiang SHI, Hanhan YE, Chao LI, Yuan AN, Erchang SUN. Retrieval of vegetation fluorescence based on GMI remote sensing data[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(2): 221

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    Paper Information

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    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Jun. 24, 2024

    The Author Email: WANG Xiaodi (wxd1002@mail.ustc.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2024.02.008

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