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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2021
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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) |
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Solar-induced chlorophyll fluorescence (SIF) Hyperspectral reflectance SCE-UA Senescent material Different growth stages Ecology QH540-549.5 |
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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 |
work_keys_str_mv |
AT nanshan betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages AT leixi betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages AT qianzhang betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages AT naifenglin betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages AT delinxu betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages AT bingshuaicao betterrevisitingchlorophyllcontentretrievalwithvaryingsenescentmaterialandsolarinducedchlorophyllfluorescencesimulationonpaddyriceduringtheentiregrowthstages |
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