Retrieval of vegetation fluorescence based on
GMI remote sensing data

doi:10.3969/j.issn.1673-6141.2024.02.008

Abstract

Abstract: 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.

Key words: solar induced chlorophyll fluorescence, remote sensing, retrieval methods

CLC Number:

P407.4

WANG Xiaodi , WANG Xianhua , SHI Hailiang , YE Hanhan , LI Chao , AN Yuan , SUN Erchang , . Retrieval of vegetation fluorescence based on GMI remote sensing data[J]. Journal of Atmospheric and Environmental Optics, 2024, (2): 221-231.

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Retrieval of vegetation fluorescence based on GMI remote sensing data

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