Estimation of winter wheat canopy nitrogen density at different growth stages based on Multi-LUT approach
作者： Chang Liu , Jianwen Wang , Zhenhai Li , Na Li , Zhenhong Li
DOI: 10.1117/12.2278719
关键词:
摘要: Rapid real-time monitoring of wheat nitrogen (N) status is crucial for precision N management during growth. In this study, Multi Lookup Table (Multi-LUT) approach based on the N-PROSAIL model parameters setting at different growth stages was constructed to estimating canopy density (CND) in winter wheat. The results showed that the estimated CND line with measured CND, determination coefficient (R2) and corresponding root mean square error (RMSE) values 0.80 1.16 g m-2, respectively. Time-consuming one sample estimation was only 6 ms under test machine CPU configuration Intel(R) Core(TM) i5-2430 @2.40GHz quad-core. These results confirmed potential using Multi-LUT retrieval different growth stages variables climatic conditions.
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sci-hub.st 参考文章(11)
Lydia Serrano, Josep Peñuelas, Susan L Ustin, Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals Remote Sensing of Environment. ,vol. 81, pp. 355- 364 ,(2002) , 10.1016/S0034-4257(02)00011-1
Zhenhai Li, Xiuliang Jin, Jihua Wang, Guijun Yang, Chenwei Nie, Xingang Xu, Haikuan Feng, Estimating winter wheat Triticum aestivum LAI and leaf chlorophyll content from canopy reflectance data by integrating agronomic prior knowledge with the PROSAIL model Journal of remote sensing. ,vol. 36, pp. 2634- 2653 ,(2015) , 10.1080/01431161.2015.1041176
D. M. El-Shikha, E. M. Barnes, T. R. Clarke, D. J. Hunsaker, J. A. Haberland, P. J. Pinter Jr., P. M. Waller, T. L. Thompson, Remote Sensing of Cotton Nitrogen Status Using the Canopy Chlorophyll Content Index (CCCI) Transactions of the ASABE. ,vol. 51, pp. 73- 82 ,(2008) , 10.13031/2013.24228
Poonsak Miphokasap, Kiyoshi Honda, Chaichoke Vaiphasa, Marc Souris, Masahiko Nagai, Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy Remote Sensing. ,vol. 4, pp. 1651- 1670 ,(2012) , 10.3390/RS4061651
Glenn Fitzgerald, Daniel Rodriguez, Garry O’Leary, Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI) Field Crops Research. ,vol. 116, pp. 318- 324 ,(2010) , 10.1016/J.FCR.2010.01.010
N. J. J. Breda, Ground-based measurements of leaf area index: a review of methods, instruments and current controversies Journal of Experimental Botany. ,vol. 54, pp. 2403- 2417 ,(2003) , 10.1093/JXB/ERG263
Pengfei Chen, Driss Haboudane, Nicolas Tremblay, Jihua Wang, Philippe Vigneault, Baoguo Li, None, New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat Remote Sensing of Environment. ,vol. 114, pp. 1987- 1997 ,(2010) , 10.1016/J.RSE.2010.04.006
Xia Yao, Yu Huang, Guiyan Shang, Chen Zhou, Tao Cheng, Yongchao Tian, Weixing Cao, Yan Zhu, Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration Remote Sensing. ,vol. 7, pp. 14939- 14966 ,(2015) , 10.3390/RS71114939
Juan Pablo Rivera, Jochem Verrelst, Ganna Leonenko, José Moreno, Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model Remote Sensing. ,vol. 5, pp. 3280- 3304 ,(2013) , 10.3390/RS5073280
Guijun Yang, Chunjiang Zhao, Ruiliang Pu, Haikuan Feng, Zhenhai Li, Heli Li, Chenhong Sun, Leaf nitrogen spectral reflectance model of winter wheat (Triticum aestivum) based on PROSPECT: simulation and inversion Journal of Applied Remote Sensing. ,vol. 9, pp. 095976- 095976 ,(2015) , 10.1117/1.JRS.9.095976