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

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Downloads

Download Preprint

Authors

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 

Abstract

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.

DOI

https://doi.org/10.31223/X5ZS35

Subjects

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

Keywords

remote sensing, NIRv, photosynthesis, SIF, GPP

Dates

Published: 2020-12-31 10:15

Last Updated: 2020-12-31 18:15

License

CC BY Attribution 4.0 International

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.