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Article: 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

TitleSatellite 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
Authors
KeywordsSolar-induced chlorophyll fluorescence
OCO-2
TROPOMI
Fluorescence yield
Croplands
Issue Date2020
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/rse
Citation
Remote Sensing of Environment, 2020, v. 241, p. article no. 111728 How to Cite?
AbstractSolar-induced chlorophyll fluorescence (SIF) measured from space has been increasingly used to quantify plant photosynthesis at regional and global scales. Apparent canopy SIF yield (SIFyield apparent), determined by fluorescence yield (ΦF) and escaping ratio (fesc), together with absorbed photosynthetically active radiation (APAR), is crucial in driving spatio-temporal variability of SIF. While strong linkages between SIFyield apparent and plant physiological responses and canopy structure have been suggested, spatio-temporal variability of SIFyield 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 SIFyield 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 SIFyield 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. SIFyield 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 SIFyield apparent. Further analysis by decomposing SIFyield apparent into ΦF and fesc using near-infrared reflectance of vegetation (NIRV) suggests that fesc may be the major driver of the observed variability of SIFyield apparent.
Persistent Identifierhttp://hdl.handle.net/10722/283330
ISSN
2019 Impact Factor: 9.085
2015 SCImago Journal Rankings: 3.369

 

DC FieldValueLanguage
dc.contributor.authorWang, C-
dc.contributor.authorGuan, K-
dc.contributor.authorPeng, B-
dc.contributor.authorChen, M-
dc.contributor.authorJiang, C-
dc.contributor.authorZeng, Y-
dc.contributor.authorWu, G-
dc.contributor.authorWang, S-
dc.contributor.authorWu, J-
dc.contributor.authorYang, X-
dc.contributor.authorFrankenberg, C-
dc.contributor.authorKöhler, P-
dc.contributor.authorBerry, J-
dc.contributor.authorBernacchi, C-
dc.contributor.authorZhu, K-
dc.contributor.authorAlden, C-
dc.contributor.authorMiao, G-
dc.date.accessioned2020-06-22T02:55:06Z-
dc.date.available2020-06-22T02:55:06Z-
dc.date.issued2020-
dc.identifier.citationRemote Sensing of Environment, 2020, v. 241, p. article no. 111728-
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10722/283330-
dc.description.abstractSolar-induced chlorophyll fluorescence (SIF) measured from space has been increasingly used to quantify plant photosynthesis at regional and global scales. Apparent canopy SIF yield (SIFyield apparent), determined by fluorescence yield (ΦF) and escaping ratio (fesc), together with absorbed photosynthetically active radiation (APAR), is crucial in driving spatio-temporal variability of SIF. While strong linkages between SIFyield apparent and plant physiological responses and canopy structure have been suggested, spatio-temporal variability of SIFyield 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 SIFyield 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 SIFyield 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. SIFyield 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 SIFyield apparent. Further analysis by decomposing SIFyield apparent into ΦF and fesc using near-infrared reflectance of vegetation (NIRV) suggests that fesc may be the major driver of the observed variability of SIFyield apparent.-
dc.languageeng-
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/rse-
dc.relation.ispartofRemote Sensing of Environment-
dc.subjectSolar-induced chlorophyll fluorescence-
dc.subjectOCO-2-
dc.subjectTROPOMI-
dc.subjectFluorescence yield-
dc.subjectCroplands-
dc.titleSatellite 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-
dc.typeArticle-
dc.identifier.emailWu, J: jinwu@hku.hk-
dc.identifier.authorityWu, J=rp02509-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rse.2020.111728-
dc.identifier.scopuseid_2-s2.0-85081177761-
dc.identifier.hkuros310544-
dc.identifier.volume241-
dc.identifier.spagearticle no. 111728-
dc.identifier.epagearticle no. 111728-
dc.publisher.placeUnited States-

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