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

• Main Authors: Cao, B. (Author), Lin, N. (Author), Shan, N. (Author), Xi, L. (Author), Xu, D. (Author), Zhang, Q. (Author)
• Format: Article
• Language: English
• Published: Elsevier B.V. 2021
• Subjects: Arizona; chlorophenol; chlorophyll; Chlorophyll; Chlorophyll contents; Chlorophyll fluorescence; Different growth stages; Energy flux model; Enzyme kinetics; fluorescence; Fluorescence; growing season; growth rate; Hyperspectral reflectance; paddy field; Paddy-rice; Photosynthesis; Physiological models; Plants (botany); price dynamics; radiative transfer; Radiative transfer; Reflection; rice; SCE-UA; seasonal variation; Senescent material; Shuffled complex evolution-university of arizona; simulation; solar radiation; Solar-induced chlorophyll fluorescence; Solar-induced chlorophyll fluorescence (SIF); United States
• Online Access: View Fulltext in Publisher

 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. © 2021 The Author(s)