Remotely Estimating Aerial N Uptake in Winter Wheat Using Red-Edge Area Index From Multi-Angular Hyperspectral Data
| العنوان: | Remotely Estimating Aerial N Uptake in Winter Wheat Using Red-Edge Area Index From Multi-Angular Hyperspectral Data |
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| المؤلفون: | Bin-Bin Guo, Ying Ma, Yi Zhou, Xingxu Ren, Yapeng Wu, Li He, Yunji Zhu, Wei Feng |
| المصدر: | Frontiers in Plant Science, Vol 9 (2018) Frontiers in Plant Science |
| بيانات النشر: | Frontiers Media S.A., 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Canopy, aerial N uptake, 010504 meteorology & atmospheric sciences, Mean squared error, Correlation coefficient, monitoring model, multi-angular hyperspectral, Red edge, Hyperspectral imaging, Soil science, 04 agricultural and veterinary sciences, Vegetation, Plant Science, lcsh:Plant culture, 01 natural sciences, winter wheat, Approximation error, vegetation indices, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, lcsh:SB1-1110, Zenith, 0105 earth and related environmental sciences, Mathematics, Original Research |
| الوصف: | Remote sensing techniques can be efficient for non-destructive, rapid detection of wheat nitrogen (N) nutrient status. In the paper, we examined the relationships of canopy multi-angular data with aerial N uptake of winter wheat (Triticum aestivum L.) across different growing seasons, locations, years, wheat varieties, and N application rates. Seventeen vegetation indices (VIs) selected from the literature were measured for the stability in estimating aerial N uptake of wheat under 13 view zenith angles (VZAs) in the solar principal plane (SPP). In total, the back-scatter angles showed better VI behavior than the forward-scatter angles. The correlation coefficient of VIs with aerial N uptake increased with decreasing VZAs. The best linear relationship was integrated with the optimized common indices DIDA and DDn to examine dynamic changes in aerial N uptake; this led to coefficients of determination (R2) of 0.769 and 0.760 at the −10° viewing angle. Our novel area index, designed the modified right-side peak area index (mRPA), was developed in accordance with exploration of the spectral area calculation and red-edge feature using the equation: mRPA = (R760/R600)1/2 × (R760-R718). Investigating the predictive accuracy of mRPA for aerial N uptake across VZAs demonstrated that the best performance was at −10° [R2 = 0.804, p < 0.001, root mean square error (RMSE) = 3.615] and that the effect was relatively similar between −20° to +10° (R2 = 0.782, p < 0.001, RMSE = 3.805). This leads us to construct a simple model under wide-angle combinations so as to improve the field operation simplicity and applicability. Fitting independent datasets to the models resulted in relative error (RE, %) values of 12.6, 14.1, and 14.9% between estimated and measured aerial N uptake for mRPA, DIDA, and DDn across the range of −20° to +10°, respectively, further confirming the superior test performance of the mRPA index. These results illustrate that the novel index mRPA represents a more accurate assessment of plant N status, which is beneficial for guiding N management in winter wheat. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5416c7cda721c8271c448a049bdbcff4 https://www.frontiersin.org/article/10.3389/fpls.2018.00675/full |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....5416c7cda721c8271c448a049bdbcff4 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |