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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.

Authors :
Wang, Cong
Guan, Kaiyu
Peng, Bin
Chen, Min
Jiang, Chongya
Zeng, Yelu
Wu, Genghong
Wang, Sheng
Wu, Jin
Yang, Xi
Frankenberg, Christian
Köhler, Philipp
Berry, Joseph
Bernacchi, Carl
Zhu, Kai
Alden, Caroline
Miao, Guofang
Source :
Remote Sensing of Environment. May2020, Vol. 241, pN.PAG-N.PAG. 1p.
Publication Year :
2020

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 (fesc), 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, SIF yield 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 fesc using near-infrared reflectance of vegetation (NIR V) suggests that fesc may be the major driver of the observed variability of SIF yield apparent. • SIF yield apparent is interpreted using high spatial resolution satellite footprints. • Different spatio-temporal patterns of SIF yield apparent are revealed among vegetation types. • SIF yield apparent of croplands is larger than non-croplands in summer. • Escaping ratio largely explains the variations of SIF yield apparent in the Midwest. • Spatial variability of SIF yield apparent is correlated to precipitation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00344257
Volume :
241
Database :
Academic Search Index
Journal :
Remote Sensing of Environment
Publication Type :
Academic Journal
Accession number :
142518522
Full Text :
https://doi.org/10.1016/j.rse.2020.111728