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The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence

Zhang, Zhaoying and Zhang, Yongguang and Zhang, Yao and Gobron, Nadine and Frankenberg, Christian and Wang, Songhan and Li, Zhaohui (2020) The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240 . Art. No. 111686. ISSN 0034-4257. https://resolver.caltech.edu/CaltechAUTHORS:20200203-075611761

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Abstract

Satellite remotely sensed fraction of photosynthetically active radiation (FPAR) products are widely used in land-surface monitoring and modeling, especially for estimating global terrestrial photosynthetic activity through light use efficiency (LUE) models. PAR absorbed by active chlorophyll (APAR_(chl)) is directly linked to vegetation photosynthesis and can be used to estimate ecosystem gross primary production (GPP). Previous studies have demonstrated that solar induced chlorophyll fluorescence has very tight relationship with APAR_(chl) at various ecosystems. Therefore, the solar angle normalized SIF (nSIF) is directly related to the fraction of PAR absorbed by chlorophyll (FPAR_(chl)). This paper intercompared six space FPAR products from Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), Copernicus Global Land Service (CGLS), Multi-angle Imaging SpectroRadiometer (MISR), Earth Polychromatic Imaging Camera (EPIC) and Ocean and Land Colour Instrument (OLCI). Their potential relationships with FPAR_(chl) were indirectly evaluated with both spaceborne (Orbiting Carbon Observatory-2, OCO-2 and TROPOspheric Monitoring Instrument, TROPOMI) and airborne (Chlorophyll Fluorescence Imaging Spectrometer, CFIS) nSIF data as well as in situ GPP measurements. Our results show that these FPAR products are different in terms of amplitudes and seasonal variations across biomes. Among six FPAR products, OLCI FPAR shows the best relationships with TROPOMI nSIF740, OCO-2 nSIF757, and CFIS nSIF755. The coefficient of determination (R²) for the relationship between OLCI FPAR and TROPOMI nSIF740 is 0.79 ± 0.17 on a global average. APAR calculated from OLCI also exhibits the best relationship (R² = 0.79) with in situ GPP over 25 flux towers.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.rse.2020.111686DOIArticle
ORCID:
AuthorORCID
Zhang, Yao0000-0002-7468-2409
Frankenberg, Christian0000-0002-0546-5857
Additional Information:© 2020 Elsevier Inc. Received 17 June 2019, Revised 22 January 2020, Accepted 24 January 2020, Available online 31 January 2020. This research was financially supported by the National Key Research and Development Program of China (2019YFA0606601), International Cooperation and Exchange Programs between NSFC and DFG (41761134082) and General Program of National Science Foundation of China (41671421). This research was also supported by the Innovative and Practical Program of Graduate Student in Jiangsu Province (SJKY190037). The authors are thankful to the science team members who produce and manage MODIS, VIIRS, GEOV2, EPIC, MISR, OLCI, OCO-2, TROPOMI, CFIS and Landsat 8 data. This work used eddy covariance data acquired and shared by the AmeriFlux community. We thank the investigators who provided flux tower data publicly available. We also thank Dr. Yuri Knyazikhin for his insightful comments and suggestions on this study. We would like to thank Prof. Christiaan van der Tol for making the SCOPE model (v1.73) publicly available. We are grateful to three anonymous reviewers for their suggestions and comments, which significantly improved the quality of this paper. CRediT authorship contribution statement: Zhaoying Zhang: Conceptualization, Methodology, Software, Formal analysis, Writing - original draft, Writing - review & editing. Yongguang Zhang: Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing, Funding acquisition. Yao Zhang: Methodology, Formal analysis, Writing - original draft, Writing - review & editing. Nadine Gobron: Formal analysis, Writing - review & editing. Christian Frankenberg: Resources. Songhan Wang: Writing - original draft. Zhaohui Li: Writing - original draft. 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
National Key Research and Development Program of China2019YFA0606601
National Natural Science Foundation of China41761134082
Deutsche Forschungsgemeinschaft (DFG)UNSPECIFIED
National Natural Science Foundation of China41671421
Innovative and Practical Program of Graduate Student in Jiangsu ProvinceSJKY190037
Subject Keywords:FPAR; FPARchl; SIF; MODIS; VIIRS; CGLS; EPIC; MISR; OLCI
Record Number:CaltechAUTHORS:20200203-075611761
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200203-075611761
Official Citation:Zhaoying Zhang, Yongguang Zhang, Yao Zhang, Nadine Gobron, Christian Frankenberg, Songhan Wang, Zhaohui Li, The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence, Remote Sensing of Environment, Volume 240, 2020, 111686, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.111686. (http://www.sciencedirect.com/science/article/pii/S0034425720300559)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101047
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:03 Feb 2020 16:51
Last Modified:03 Feb 2020 16:51

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