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• W4281257464 endingPage "156090" @default.
• W4281257464 startingPage "156090" @default.
• W4281257464 abstract "Quantifying net primary productivity (NPP) is important for understanding the global carbon cycle and for assessing ecosystem carbon dynamics. However, uncertainties remain in NPP estimation. Using winter wheat data obtained from an experimental station in 2019, this study evaluated the ability of the near-infrared radiance of vegetation (NIRV,Rad) to estimate NPP at different time scales and established an estimation model based on NIRV,Rad, where NIRV,Rad was defined as the product of the normalized difference vegetation index (NDVI) and the near-infrared radiance. The results showed that the linear relationship between NIRV,Rad and NPP was superior to the relationship between NPP and NDVI, enhanced vegetation index-2 (EVI2), and near-infrared reflectance of vegetation (NIRV,Ref) at each time scale (hourly, daily, and growth period). The advantage of NIRV,Rad was more evident on the hourly scale, in which the R2 of NIRV,Rad and NPP reached 0.77, whereas the R2 values of the correlation of NDVI, EVI2, and NIRV,Ref with NPP were 0.30, 0.16, and 0.14, respectively. There existed a strong linear relationship between absorbed photosynthetically active radiation, net photosynthetic rate, leaf area index, and NIRV,Rad, which explained the good relationship between NIRV,Rad and NPP. Through a comparative analysis of the various models, the NIRV,Rad model was found to have the strongest ability to estimate NPP and the R2, with the measured NPP reaching 0.81. The accuracy of NIRV,Rad provides a new method for estimating NPP and a scientific basis for estimating NPP using high-resolution satellite remote sensing data on a regional scale." @default.
• W4281257464 created "2022-05-23" @default.
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• W4281257464 date "2022-09-01" @default.
• W4281257464 modified "2023-10-16" @default.
• W4281257464 title "Estimation of the net primary productivity of winter wheat based on the near-infrared radiance of vegetation" @default.
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• W4281257464 doi "https://doi.org/10.1016/j.scitotenv.2022.156090" @default.
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