Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
By Luis Guanter, Yongguang Zhang, Martin Jung, Joanna Joiner, M. Voigt, Joseph A. Berry, Christian Frankenberg, Alfredo R. Huete, Pablo J. Zarco-Tejada, Jung‐Eun Lee and 10 more. Proceedings of the National Academy of Sciences of the United States of America, 2014
999 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/aeaf5c0e4828fee7e0f9e9eafb2316ec6f081574
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Z. Malenovsky
- W. Verhoef
- Michele Meroni
- Alexander Damm
- Uwe Rascher
- Christian Frankenberg
- J. Xiao
- Xing Li
In Global and Planetary Change
In Plant Science
- Marian Brestic
- Z. Malenovsky
- M. Živčák
- W. Verhoef
- Luis Guanter
- Uwe Rascher
- Michele Meroni
- Pete Smith
Citations in the corpus
- Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 (2019, background): “The pattern of maximum daily GPP throughout a year is generally similar to that of the maximum daily productivity based on GPP estimates [53] or directly inferred from coarse-resolution SIF data [33,54].”
- Chlorophyll a fluorescence induction: Can just a one-second measurement be used to quantify abiotic stress responses? (2018, background): “…remote sensing of plants, and other fields of research that are related to photosynthesis (for reviews, see e.g., Moya and Cerovic 2004, Baker 2008, Meroni et al. 2009, Murchie and Lawson 2013, Guanter et al. 2014, Kalaji et al. 2014a, 2016, 2017a,b; Humplík et al. 2015, Mishra et al. 2016a).”
- Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (2019, methodology): “Far-red SIF data from GOME-2 were shown to have a higher sensitivity to crop photosynthesis than reflectance-based vegetation indices and data-driven GPP models, the latter failing to capture the high GPP levels found in some areas of the US Corn Belt (Guanter et al., 2014).”
- A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data (2019, result): “Another study [33] also found that the MODIS GPP model underestimated GPP at cropland sites with high fluxes.”
- Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions (2016, background): “Recent studies indicate that Chlorophyll fluorescence (ChlF) measurements may provide unique benchmarks to improve global agricultural productivity models, improving the reliability of crop yield projections under climate change scenarios (Guanter et al. 2014; Malaspina et al. 2014).”
- Coupling between the terrestrial carbon and water cycles—a review (2019, background): “In addition, solar-induced fluorescence places key constraints on the rate of photosynthesis at the ecosystem scale (Joiner et al 2011b, Frankenberg et al 2012, Joiner et al 2013, Lee et al 2013, Parazoo et al 2013, Frankenberg et al 2014, Guanter et al 2014, Lee et al 2015, Guanter et al 2015).”
- Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale (2016, methodology): “Optic observations in multiple spectral bands typically map the entire Earth, and they are used to derive vegetation indices as the Enhanced Vegetation Index (EVI), the Normalized Difference Vegetation Index (NDVI), or chlorophyll fluorescence.(463,464) Signals in multiple bands can also be processe”
- Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (2015, background): “Currently, more direct observations of photosynthetic processes via fluorescence offer the potential to overcome this problem (Frankenberg et al., 2011; Guanter et al., 2014), as well as combined observations of greenness indices and land surface temperature (Mildrexler et al., 2009).”