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Remote Sensing Technology and Application  2019, Vol. 34 Issue (3): 488-499    DOI: 10.11873/j.issn.1004-0323.2019.3.0488
    
Sun-induced Chlorophyll Fluorescence and GPP Simulations with SCOPE Model for Paddy Rice Under Different Growing Stages
Xi Lei1,2,Shan Nan1,Yang Shenbin2,Zhang Yongguang1
 (1.School of Applied Meteorology,Nanjing University of Information,Science and Technology,Nanjing 210044,China;
2.International Institute for Earth System Science,Nanjing University,Nanjing 210023,China)
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Abstract  Sun-induced Chlorophyll Fluorescence and GPP Simulations
with SCOPE Model for Paddy Rice Under Different Growing StagesCompared with traditional greenness-based vegetation indicators,Sun-induced Chlorophyll Fluorescence (SIF),as one of the most effective tools in monitoring Gross Primary Production(GPP),can be used to directly reflect the dynamic changes of photosynthesis.The SCOPE (Soil Canopy Observation,Photochemistry,and Energy Fluxes) model has been widely used to simulate the SIF and GPP across multiple scales.However,the accuracy and ability of the SCOPE model on the simulations under different growth stages and weathers remains unclear.In this study,we investigated the performance of SCOPE in SIF760 and GPP based on the physiological parameters and meteorological data of paddy rice in 2016.Then we compared the simulations with the measured SIF760and GPP under different growing stages and weather conditions.The results showed that the SCOPE model could simulate well for SIF760 and GPP at the seasonal scale (R2=0.44 and R2=0.67).However,the SCOPE model had different performances under different growth stages at the diurnal scale A better performance was obtained in maturity stage of rice (R2=0.99 and R2=0.96),while a lower performance was at the heading-flowering stage.During the whole growth period,the SIF760 simulated by the SCOPE model was lower than the measured SIF760while the simulated GPP was higher.In addition,weather conditions significantly affect the simulations from the SCOPE model.The accuracy of the SIF760 simulations on sunny days was better than that in cloudy days (R2=0.64 and R2=0.46,respectively).Our quantitative assessment of the SCOPE model supported its usefulness for interpreting SIF and GPP under different growth stages.These results provided the model evidence for remote sensing of SIF to monitor crop photosynthesis and its response on environmental factors.
Key words:  SIF      GPP      SCOPE model      Paddy rice      Growth stage     
Received:  06 January 2019      Published:  01 July 2019
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Xi Lei, Shan Nan, Yang Shenbin, Zhang Yongguang. Sun-induced Chlorophyll Fluorescence and GPP Simulations with SCOPE Model for Paddy Rice Under Different Growing Stages . Remote Sensing Technology and Application, 2019, 34(3): 488-499.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2019.3.0488     OR     http://www.rsta.ac.cn/EN/Y2019/V34/I3/488

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