Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence

P. Yang*, C. van der Tol, W. Verhoef, Alexander Damm, Anke Schickling, Thorsten Kraska, Onno Muller, Uwe Rascher

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

The growing availability of global measurements of sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring of photosynthetic activity. However, variations in top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because of the confounding effects of vegetation biochemistry (i.e. pigments, dry matter and water) and structure. In this study, we propose an approach of using radiative transfer models (RTMs) and TOC reflectance to estimate the biochemical and structural effects on TOC SIF, as a necessary step in retrieving physiological information from TOC SIF. The approach was assessed by using airborne (HyPlant) reflectance and SIF data acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27°C and 34°C, respectively. The results show that over 76% variation among different crops in SIF observations was explained by variation in vegetation biochemistry and structure. In addition, the changes of vegetation biochemistry and structure explained as much as 73% variation between the two days in far-red SIF, and 40% variation in red SIF. The remaining unexplained variation was mostly attributed to the variability in physiological status. We conclude that reflectance provides valuable information to account for biochemical and structural effects on SIF and to advance analysis of SIF observations. The combination of RTMs, reflectance and SIF opens new pathways to detect vegetation biochemical, structural and physiological changes.

Original languageEnglish
Article number110996
Pages (from-to)1-11
Number of pages11
JournalRemote sensing of environment
Volume231
Early online date6 Dec 2018
DOIs
Publication statusPublished - 15 Sep 2019

Fingerprint

Chlorophyll
Sun
reflectance
chlorophyll
fluorescence
Fluorescence
vegetation
Biochemistry
biochemistry
canopy
Radiative transfer
Crops
radiative transfer
effect
canopy reflectance
crop
Monitoring
monitoring
demonstration farms
crops

Keywords

  • Airborne
  • Canopy structure
  • Chlorophyll fluorescence
  • HyPlant
  • Radiative transfer models
  • Reflectance
  • ITC-ISI-JOURNAL-ARTICLE

Cite this

Yang, P. ; van der Tol, C. ; Verhoef, W. ; Damm, Alexander ; Schickling, Anke ; Kraska, Thorsten ; Muller, Onno ; Rascher, Uwe. / Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence. In: Remote sensing of environment. 2019 ; Vol. 231. pp. 1-11.
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abstract = "The growing availability of global measurements of sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring of photosynthetic activity. However, variations in top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because of the confounding effects of vegetation biochemistry (i.e. pigments, dry matter and water) and structure. In this study, we propose an approach of using radiative transfer models (RTMs) and TOC reflectance to estimate the biochemical and structural effects on TOC SIF, as a necessary step in retrieving physiological information from TOC SIF. The approach was assessed by using airborne (HyPlant) reflectance and SIF data acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27°C and 34°C, respectively. The results show that over 76{\%} variation among different crops in SIF observations was explained by variation in vegetation biochemistry and structure. In addition, the changes of vegetation biochemistry and structure explained as much as 73{\%} variation between the two days in far-red SIF, and 40{\%} variation in red SIF. The remaining unexplained variation was mostly attributed to the variability in physiological status. We conclude that reflectance provides valuable information to account for biochemical and structural effects on SIF and to advance analysis of SIF observations. The combination of RTMs, reflectance and SIF opens new pathways to detect vegetation biochemical, structural and physiological changes.",
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Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence. / Yang, P.; van der Tol, C.; Verhoef, W.; Damm, Alexander; Schickling, Anke; Kraska, Thorsten; Muller, Onno; Rascher, Uwe.

In: Remote sensing of environment, Vol. 231, 110996, 15.09.2019, p. 1-11.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence

AU - Yang, P.

AU - van der Tol, C.

AU - Verhoef, W.

AU - Damm, Alexander

AU - Schickling, Anke

AU - Kraska, Thorsten

AU - Muller, Onno

AU - Rascher, Uwe

PY - 2019/9/15

Y1 - 2019/9/15

N2 - The growing availability of global measurements of sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring of photosynthetic activity. However, variations in top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because of the confounding effects of vegetation biochemistry (i.e. pigments, dry matter and water) and structure. In this study, we propose an approach of using radiative transfer models (RTMs) and TOC reflectance to estimate the biochemical and structural effects on TOC SIF, as a necessary step in retrieving physiological information from TOC SIF. The approach was assessed by using airborne (HyPlant) reflectance and SIF data acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27°C and 34°C, respectively. The results show that over 76% variation among different crops in SIF observations was explained by variation in vegetation biochemistry and structure. In addition, the changes of vegetation biochemistry and structure explained as much as 73% variation between the two days in far-red SIF, and 40% variation in red SIF. The remaining unexplained variation was mostly attributed to the variability in physiological status. We conclude that reflectance provides valuable information to account for biochemical and structural effects on SIF and to advance analysis of SIF observations. The combination of RTMs, reflectance and SIF opens new pathways to detect vegetation biochemical, structural and physiological changes.

AB - The growing availability of global measurements of sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring of photosynthetic activity. However, variations in top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because of the confounding effects of vegetation biochemistry (i.e. pigments, dry matter and water) and structure. In this study, we propose an approach of using radiative transfer models (RTMs) and TOC reflectance to estimate the biochemical and structural effects on TOC SIF, as a necessary step in retrieving physiological information from TOC SIF. The approach was assessed by using airborne (HyPlant) reflectance and SIF data acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27°C and 34°C, respectively. The results show that over 76% variation among different crops in SIF observations was explained by variation in vegetation biochemistry and structure. In addition, the changes of vegetation biochemistry and structure explained as much as 73% variation between the two days in far-red SIF, and 40% variation in red SIF. The remaining unexplained variation was mostly attributed to the variability in physiological status. We conclude that reflectance provides valuable information to account for biochemical and structural effects on SIF and to advance analysis of SIF observations. The combination of RTMs, reflectance and SIF opens new pathways to detect vegetation biochemical, structural and physiological changes.

KW - Airborne

KW - Canopy structure

KW - Chlorophyll fluorescence

KW - HyPlant

KW - Radiative transfer models

KW - Reflectance

KW - ITC-ISI-JOURNAL-ARTICLE

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U2 - 10.1016/j.rse.2018.11.039

DO - 10.1016/j.rse.2018.11.039

M3 - Article

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VL - 231

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JO - Remote sensing of environment

JF - Remote sensing of environment

SN - 0034-4257

M1 - 110996

ER -