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- W2385246670 abstract "Crop nitrogen status is a key index for evaluating crop growth,increasing yield and improving quality.Non-destructive﹠quick assessment of leaf nitrogen concentration is very necessary for management of nitrogen nutrition in crop production.This study investigated the quantitative relationships of leaf nitrogen concentration to canopy hyperspectral reflectance in wheat with three field experiments consisting of different variety types and nitrogen levels in three growing seasons.The results showed that the nitrogen concentration in wheat leaf increased with increasing of applying nitrogen rates,and changes in canopy spectral reflectance with varied leaf nitrogen concentration were all highly different.The sensitivity bands occurred during visible light and near infrared region mostly,and a close correlation existed between red-edge district and leaf nitrogen concentrations.The relationships between twenty vegetation indices from references,the first derivatives and leaf nitrogen concentrations were analyzed using statistical models.As a result,the area and red edge spectral parameters were significantly correlated with leaf nitrogen concentrations,and the relationships to REPIE,SDr-SDb and FD729 were all highly significant,with the determination of coefficients(R2)as 0.829,0.806 and 0.856,and the standard errors(SE)as 0.278,0.295 and 0.271,respectively.The relationships between the combination of several single bands and leaf N concentration were better than those of the combination of simulated wide spectra bands in terms of R2 and SE.Regression models of leaf N concentrations to mND705 and AVHRR-GVI were established with R2 of 0.836 and 0.786,SE of 0.275 and 0.315,respectively.The validation results from independent datasets indicated that the area and red edge spectral parameters were the best to predict leaf N concentrations,with RMSE of 0.418,0.380 and 0.395,RE of 14.4%,15.1% and 15.2% for using REPIE,SDr-SDb and FD729,respectively.The combination of several single bands were slightly lower as to predict leaf N concentrations,as compared with the combination of simulated wide spectra bands,with RMSE of 0.436 and 0.408,RE of 17.3% and 16.7% for using mND705 and AVHRR-GVI,respectively.It is concluded that hyperspectral parameters of REPIE,SDr-SDb and FD729 could be used to reliably estimate the leaf N concentrations in wheat." @default.
- W2385246670 created "2016-06-24" @default.
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- W2385246670 date "2008-01-01" @default.
- W2385246670 modified "2023-09-24" @default.
- W2385246670 title "Monitoring Leaf Nitrogen Concentration by Hyperspectral Remote Sensing in Wheat" @default.
- W2385246670 hasPublicationYear "2008" @default.
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