基于GMI数据的植被荧光反演研究  

Retrieval of vegetation fluorescence based on GMI remote sensing data

作　　者：王晓迪 王先华 施海亮[1] 叶函函 李超 安源[1,2] 孙二昌 WANG Xiaodi;WANG Xianhua;SHI Hailiang;YE Hanhan;LI Chao;AN Yuan;SUN Erchang(Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics,HFIPS,Chinese Academy of Sciences,Hefei 230031,China;University of Science and Technology of China,Hefei 230026,China)

机构地区：[1]中国科学院合肥物质科学研究院安徽光学精密机械研究所,中国科学院通用光学定标与表征技术重点实验室,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026

出　　处：《大气与环境光学学报》2024年第2期221-231,共11页Journal of Atmospheric and Environmental Optics

基　　金：国家重点研发计划资助项目(2021YFE0118000);中国科学院重点部署项目(ZDRW-KT-2020-3);民用航天预先研究项目(D040102)。

摘　　要：太阳诱导叶绿素荧光直接指示植被生理状态,而植被作为重要的碳汇,若能利用温室气体卫星遥感数据反演出植被叶绿素荧光,则对于分析大气温室气体源、汇具有重要意义。利用氧气吸收线拟合法,基于GF-5卫星“大气主要温室气体监测仪(GMI)”及美国OCO-2遥感数据,针对亚马逊森林、撒哈拉沙漠和非洲草原地区2019年1月和7月GMI卫星遥感数据开展了叶绿素荧光反演研究,并将结果与OCO-2数据荧光产品进行对比分析。反演结果表明:以OCO-2荧光产品为基准,在三个研究区域的两个研究时段内,GMI数据能够较好地反演叶绿素荧光强度。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.

关 键 词：太阳诱导叶绿素荧光 遥感 反演方法 

分 类 号：P407.4[天文地球—大气科学及气象学]