气候变化领域集成服务门户(CCPortal): 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

CCPortal

DOI	10.1016/j.rse.2020.111728
	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 C.; Guan K.; Peng B.; Chen M.; Jiang C.; Zeng Y.; Wu G.; Wang S.; Wu J.; Yang X.; Frankenberg C.; Köhler P.; Berry J.; Bernacchi C.; Zhu K.; Alden C.; Miao G.
发表日期	2020
ISSN	00344257
卷号	241
英文摘要	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 (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. © 2020 Elsevier Inc.
英文关键词	Croplands; Escaping ratio; Fluorescence yield; NIRV; OCO-2; Solar-induced chlorophyll fluorescence; TROPOMI
语种	英语
scopus关键词	Chlorophyll; Crops; Cultivation; Infrared devices; Photosynthesis; Physiological models; Vegetation; Chlorophyll fluorescence; Croplands; Escaping ratio; Fluorescence yield; NIRV; OCO-2; TROPOMI; Fluorescence; agricultural land; chlorophyll; OCO; satellite data; spatiotemporal analysis; vegetation type; Midwest; United States; Glycine max; Zea mays
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179372
作者单位	College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana Champaign, United States; National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, United States; Joint Global Change Research Institute, Pacific Northwest National Laboratory, College ParkMD, United States; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; Department of Environmental and Climatic Sciences, Brookhaven National Laboratory, Upton, NY, United States; Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Plant Biology, University of Illinois at Urbana...
推荐引用方式 GB/T 7714	Wang C.,Guan K.,Peng B.,et al. 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[J],2020,241.
APA	Wang C..,Guan K..,Peng B..,Chen M..,Jiang C..,...&Miao G..(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.
MLA	Wang C.,et al."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(2020).