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
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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) |
DOI | 10.3390/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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