OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence
By Ying Sun, Christian Frankenberg, J. Wood, David S. Schimel, Martin Jung, Luis Guanter, D. Drewry, M. Verma, Albert Porcar-Castell, T. Griffis and 5 more. Science, 2017
633 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/8161970451ed8c5ca703a5cd97379eead83635a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Pablo J. Zarco-Tejada
- Pierre Gentine
- Ivan A. Janssens
- Christian Frankenberg
- Vincent Humphrey
- C. van der Tol
- W. Verhoef
- Z. Malenovsky
In Global and Planetary Change
- J. Xiao
- Xing Li
- W. Verhoef
- Z. Malenovsky
- Michele Meroni
- Alexander Damm
- Joanna Joiner
- Christian Frankenberg
Citations in the corpus
- A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks (2018, background): “In addition, recent studies suggest that the GPP–SIF relationship is consistent across biome types (Sun et al., 2017).”
- Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (2019, methodology): “based GPP for the understanding of SIF-GPP relationships (Sun et al., 2017).”
- A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data (2019, result): “Since a number of studies have shown that the SIF is a robust proxy of terrestrial GPP [19,26,33,39,42,43], the SIF is expected to capture the similar spatial and temporal patterns as presented in GPP.”
- Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 (2019, background): “The previously observed SIF-GPP relationships that were dependent upon biome types was possibly due to the fact that gridded GPP products typically have systematic biases [26].”
- Coupling between the terrestrial carbon and water cycles—a review (2019, background): “…as well as phenology from space (Frankenberg et al 2011, Joiner et al 2011, 2013, 2014, Frankenberg et al 2014, Alemohammad et al 2017, Jeong et al 2017, Luus et al 2017, Sun et al 2017, 2018, Gentine and Alemohammad 2018, Zhang et al 2018a), as satellite SIF is closely related to ecosystemGPP.”
- Plant phenology and global climate change: Current progresses and challenges (2019, methodology): “However, the tempo‐ ral and spatial resolution of the currently available satellite derived SIF data is still very coarse (Jeong et al., 2017; Sun et al., 2017), and needs to be improved in future missions to enable better represen‐ tation of phenological events using SIF.”