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Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest

Wang, Cong and Guan, Kaiyu and Peng, Bin and Chen, Min and Jiang, Chongya and Zeng, Yelu and Wu, Genghong and Wang, Sheng and Wu, Jin and Yang, Xi and Frankenberg, Christian and Köhler, Philipp and Berry, Joseph and Bernacchi, Carl and Zhu, Kai and Alden, Caroline and Miao, Guofang (2020) Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest. Remote Sensing of Environment, 241 . Art. No. 111728. ISSN 0034-4257. https://resolver.caltech.edu/CaltechAUTHORS:20200306-133728092

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Abstract

Solar-induced chlorophyll fluorescence (SIF) measured from space has been increasingly used to quantify plant photosynthesis at regional and global scales. Apparent canopy SIF yield (SIF_(yield apparent)), determined by fluorescence yield (Φ_F) and escaping ratio (f^(esc)), together with absorbed photosynthetically active radiation (APAR), is crucial in driving spatio-temporal variability of SIF. While strong linkages between SIF_(yield apparent) and plant physiological responses and canopy structure have been suggested, spatio-temporal variability of SIF_(yield apparent) at regional scale remains largely unclear, which limits our understanding of the spatio-temporal variability of SIF and its relationship with photosynthesis. In this study, we utilized recent SIF data with high spatial resolution from two satellite instruments, OCO-2 and TROPOMI, together with multiple other datasets. We estimated SIF_(yield apparent) across space, time, and different vegetation types in the U.S. Midwest during crop growing season (May to September) from 2015 to 2018. We found that SIF_(yield apparent) of croplands was larger than non-croplands during peak season (July–August). However, SIFyield apparent between corn (C4 crop) and soybean (C3 crop) did not show a significant difference. SIF_(yield apparent) of corn, soybean, forest, and grass/pasture show clear seasonal and spatial patterns. The spatial variability of precipitation during the growing season could explain the overall spatial pattern of SIF_(yield apparent). Further analysis by decomposing SIF_(yield apparent) into Φ_F and f^(esc) using near-infrared reflectance of vegetation (NIRV) suggests that f^(esc) may be the major driver of the observed variability of SIF_(yield apparent).


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.rse.2020.111728DOIArticle
ORCID:
AuthorORCID
Wang, Cong0000-0002-1777-3443
Peng, Bin0000-0002-7284-3010
Jiang, Chongya0000-0002-1660-7320
Wang, Sheng0000-0003-3385-3109
Frankenberg, Christian0000-0002-0546-5857
Köhler, Philipp0000-0002-7820-1318
Zhu, Kai0000-0003-1587-3317
Additional Information:© 2020 Elsevier. Received 19 November 2019, Revised 9 February 2020, Accepted 15 February 2020, Available online 6 March 2020. K.G., C.W., J.C., B.P., C.A., G.M., thank the financial support from NASA Terrestrial Ecosystem Program through the Carbon Monitoring System Program (80NSSC18K0170) and NASA New Investigator Program (NNX16AI56G), and USDA NIFA Program (2019-67021-29312). K.G. and C.F. have been supported by the NASA Terrestrial Ecosystem Program through the Carbon Cycle Science Program (NNX17AE14G). CRediT authorship contribution statement: Cong Wang: Conceptualization, Methodology, Software, Formal analysis, Investigation, Writing - original draft, Writing - review & editing, Visualization. Kaiyu Guan: Conceptualization, Methodology, Writing - original draft, Writing - review & editing, Supervision, Funding acquisition. Bin Peng: Conceptualization, Methodology, Writing - original draft, Writing - review & editing. Min Chen: Conceptualization, Writing - original draft. Chongya Jiang: Writing - original draft, Writing - review & editing. Yelu Zeng: Methodology, Writing - review & editing. Genghong Wu: Formal analysis, Writing - review & editing. Sheng Wang: Writing - review & editing. Jin Wu: Conceptualization, Writing - original draft. Xi Yang: Writing - original draft. Christian Frankenberg: Resources, Writing - original draft. Philipp Köhler: Resources, Writing - original draft. Joseph Berry: Conceptualization. Carl Bernacchi: Writing - original draft. Kai Zhu: Writing - original draft. Caroline Alden: Writing - original draft, Writing - review & editing. Guofang Miao: Conceptualization. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Funders:
Funding AgencyGrant Number
NASA80NSSC18K0170
NASANNX16AI56G
Department of Agriculture2019-67021-29312
NASANNX17AE14G
Subject Keywords:Solar-induced chlorophyll fluorescence; OCO-2; TROPOMI; Fluorescence yield; Croplands; NIRV; Escaping ratio
Record Number:CaltechAUTHORS:20200306-133728092
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200306-133728092
Official Citation:Cong Wang, Kaiyu Guan, Bin Peng, Min Chen, Chongya Jiang, Yelu Zeng, Genghong Wu, Sheng Wang, Jin Wu, Xi Yang, Christian Frankenberg, Philipp Köhler, Joseph Berry, Carl Bernacchi, Kai Zhu, Caroline Alden, Guofang Miao, Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest, Remote Sensing of Environment, Volume 241, 2020, 111728, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.111728.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101747
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:06 Mar 2020 22:21
Last Modified:06 Mar 2020 22:21

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