中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite

文献类型:期刊论文

作者Li, Shilei1; Gao, Maofang1; Li, Zhao-Liang1,2
刊名SENSORS
出版日期2021-07-01
卷号21期号:14页码:13
关键词singular value decomposition (SVD) solar-induced chlorophyll fluorescence (SIF) TanSat satellite Bayesian Information Criterion (BIC)
DOI10.3390/s21144886
通讯作者Gao, Maofang(gaomaofang@caas.cn)
英文摘要A series of algorithms for satellite retrievals of sun-induced chlorophyll fluorescence (SIF) have been developed and applied to different sensors. However, research on SIF retrieval using hyperspectral data is performed in narrow spectral windows, assuming that SIF remains constant. In this paper, based on the singular vector decomposition (SVD) technique, we present an approach for retrieving SIF, which can be applied to remotely sensed data with ultra-high spectral resolution and in a broad spectral window without assuming that the SIF remains constant. The idea is to combine the first singular vector, the pivotal information of the non-fluorescence spectrum, with the low-frequency contribution of the atmosphere, plus a linear combination of the remaining singular vectors to express the non-fluorescence spectrum. Subject to instrument settings, the retrieval was performed within a spectral window of approximately 7 nm that contained only Fraunhofer lines. In our retrieval, hyperspectral data of the O-2-A band from the first Chinese carbon dioxide observation satellite (TanSat) was used. The Bayesian Information Criterion (BIC) was introduced to self-adaptively determine the number of free parameters and reduce retrieval noise. SIF retrievals were compared with TanSat SIF and OCO-2 SIF. The results showed good consistency and rationality. A sensitivity analysis was also conducted to verify the performance of this approach. To summarize, the approach would provide more possibilities for retrieving SIF from hyperspectral data.
WOS关键词A FLUORESCENCE ; PHOTOSYNTHESIS ; SIMULATIONS ; MECHANISMS ; SCIAMACHY ; INSIGHTS ; GOME-2 ; MODEL
资助项目National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41871282] ; Fundamental Research Funds for Central Non-profit Scientific Institution[1610132020015]
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000677124900001
出版者MDPI
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for Central Non-profit Scientific Institution
源URL[http://ir.igsnrr.ac.cn/handle/311030/164757]  
专题中国科学院地理科学与资源研究所
通讯作者Gao, Maofang
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Li, Shilei,Gao, Maofang,Li, Zhao-Liang. Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite[J]. SENSORS,2021,21(14):13.
APA Li, Shilei,Gao, Maofang,&Li, Zhao-Liang.(2021).Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite.SENSORS,21(14),13.
MLA Li, Shilei,et al."Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite".SENSORS 21.14(2021):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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