NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: This is version 1 of this Preprint.

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Benjamin Dechant , Youngryel Ryu , Grayson Badgley, Philipp Köhler , Uwe Rascher , Mirco Migliavacca , Yongguang Zhang , Giulia Tagliabue , Kaiyu Guan , Micol Rossini , Yves Goulas , Yelu Zeng , Christian Frankenberg, Joseph A. Berry 


Sun-induced chlorophyll fluorescence (SIF) is a promising new tool for remotely estimating photosynthesis. However, the degree to which incoming sunlight and the structure of the canopy rather than leaf physiology contribute to SIF variations is still not well characterized. Here we demonstrate that the canopy structure-related near-infrared reflectance of vegetation multiplied by incoming sunlight (NIRvP) is a robust proxy of far-red SIF across a wide range of spatial and temporal scales. Our findings indicate that contributions from leaf physiology to SIF variability are small compared to its structure and radiation components. NIRvP captured spatio-temporal patterns of photosynthesis better than SIF, which seems to be mostly due to the retrieval noise of SIF. Our results highlight the promise of using widely available NIRvP data for vegetation monitoring and also indicate the potential of using SIF and NIRvP in combination to extract physiological information from SIF.



Agriculture, Biology, Environmental Monitoring, Environmental Sciences, Plant Sciences


remote sensing, NIRv, photosynthesis, SIF, GPP


Published: 2020-12-31 01:15

Last Updated: 2020-12-31 09:15


CC BY Attribution 4.0 International