Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages

Solar-induced chlorophyll fluorescence at 760 nm (SIF) is a promising proxy of photosynthesis and can help improving plant stress monitoring. The Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model combines radiative transfer and enzyme kinetics of photosynthesis and is widely...

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Autores principales: Nan Shan, Lei Xi, Qian Zhang, Naifeng Lin, Delin Xu, Bingshuai Cao
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/f29c4c6d5ea1428b931c35abc91c1813
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spelling oai:doaj.org-article:f29c4c6d5ea1428b931c35abc91c18132021-12-01T04:58:36ZBetter revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages1470-160X10.1016/j.ecolind.2021.108057https://doaj.org/article/f29c4c6d5ea1428b931c35abc91c18132021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007226https://doaj.org/toc/1470-160XSolar-induced chlorophyll fluorescence at 760 nm (SIF) is a promising proxy of photosynthesis and can help improving plant stress monitoring. The Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model combines radiative transfer and enzyme kinetics of photosynthesis and is widely used to interpret SIF at different temporal and spatial scales. In this study, growing season canopy hyperspectral reflectance between 400 nm and 900 nm was used to retrieve chlorophyll content (Cab) and leaf inclination (LIDFa) using radiative transfer models (RTMs) combined with the shuffled complex evolution-University of Arizona (SCE-UA) method. These parameters were then used to simulate diurnal and seasonal trends of SIF for paddy rice. The results showed that the accuracy of Cab retrieval was improved when the variation in senescent material (Cs) was considered, especially in the later growth stages. The SCOPE model was able to reliably interpret the diurnal cycle and seasonal trend of SIF with a correlation coefficient of 0.92 and RMSE of 0.12 w m−2 sr-1 um−1. Our results revealed that the SCOPE model provides a promising method for interpreting SIF variations but its accuracy should be evaluated in different growth stages. This will serve as a significant reference for detecting plant photosynthetic activity and physiological traits at different growth stages.Nan ShanLei XiQian ZhangNaifeng LinDelin XuBingshuai CaoElsevierarticleSolar-induced chlorophyll fluorescence (SIF)Hyperspectral reflectanceSCE-UASenescent materialDifferent growth stagesEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108057- (2021)
institution DOAJ
collection DOAJ
language EN
topic Solar-induced chlorophyll fluorescence (SIF)
Hyperspectral reflectance
SCE-UA
Senescent material
Different growth stages
Ecology
QH540-549.5
spellingShingle Solar-induced chlorophyll fluorescence (SIF)
Hyperspectral reflectance
SCE-UA
Senescent material
Different growth stages
Ecology
QH540-549.5
Nan Shan
Lei Xi
Qian Zhang
Naifeng Lin
Delin Xu
Bingshuai Cao
Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
description Solar-induced chlorophyll fluorescence at 760 nm (SIF) is a promising proxy of photosynthesis and can help improving plant stress monitoring. The Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model combines radiative transfer and enzyme kinetics of photosynthesis and is widely used to interpret SIF at different temporal and spatial scales. In this study, growing season canopy hyperspectral reflectance between 400 nm and 900 nm was used to retrieve chlorophyll content (Cab) and leaf inclination (LIDFa) using radiative transfer models (RTMs) combined with the shuffled complex evolution-University of Arizona (SCE-UA) method. These parameters were then used to simulate diurnal and seasonal trends of SIF for paddy rice. The results showed that the accuracy of Cab retrieval was improved when the variation in senescent material (Cs) was considered, especially in the later growth stages. The SCOPE model was able to reliably interpret the diurnal cycle and seasonal trend of SIF with a correlation coefficient of 0.92 and RMSE of 0.12 w m−2 sr-1 um−1. Our results revealed that the SCOPE model provides a promising method for interpreting SIF variations but its accuracy should be evaluated in different growth stages. This will serve as a significant reference for detecting plant photosynthetic activity and physiological traits at different growth stages.
format article
author Nan Shan
Lei Xi
Qian Zhang
Naifeng Lin
Delin Xu
Bingshuai Cao
author_facet Nan Shan
Lei Xi
Qian Zhang
Naifeng Lin
Delin Xu
Bingshuai Cao
author_sort Nan Shan
title Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
title_short Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
title_full Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
title_fullStr Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
title_full_unstemmed Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
title_sort better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
publisher Elsevier
publishDate 2021
url https://doaj.org/article/f29c4c6d5ea1428b931c35abc91c1813
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AT leixi betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages
AT qianzhang betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages
AT naifenglin betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages
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