Research Papers

Estimation of winter wheat grain crude protein content from in situ reflectance and advanced spaceborne thermal emission and reflection radiometer image

[+] Author Affiliations
Wenjiang Huang, Xiaoyu Song

National Engineering Research Center for Information Technology in Agriculture, Beijing, P.O.Box 2449-26, Beijing, Beijing 100097 China

David W. Lamb

University of New England, Australia

Zhijie Wang

National Engineering Research Center for Information Technology in Agriculture, Beijing, P.O.Box 2449-26, Beijing, Beijing 100097 China

Zheng Niu

Institute of Remote Sensing Applications of Chinese Academy of Sciences, The State Key Laboratory of Remote Sensing Science, Beijing, Beijing 100101 China

Liangyun Liu, Jihua Wang

National Engineering Research Center for Information Technology in Agriculture, Beijing, Beijing 100097 China

J. Appl. Remote Sens. 2(1), 023530 (July 21, 2008). doi:10.1117/1.2968954
History: Received July 27, 2007; Revised April 20, 2008; Accepted July 2, 2008; July 21, 2008; Online July 21, 2008
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Abstract

The advanced technology in site-specific and spaceborne determination of grain crude protein content (CP) by remote sensing can help optimize the strategies for buyers in aiding purchasing decisions, and help farmers to maximize the grain output by adjusting field nitrogen (N) fertilizer inputs. We performed field experiments to study the relationship between grain quality indicators and foliar nitrogen concentration (FNC). FNC at anthesis stage was significantly correlated with CP, while spectral vegetation index was significantly correlated to FNC. Based on the relationships among nitrogen reflectance index (NRI), FNC and CP, a model for CP prediction was developed. NRI was able to evaluate FNC with a higher coefficient of determination of R2>= 0.7302 in Experiment A. The relationship between laboratory measured and remotely sensed FNC had a coefficient of determination of R2>=0.7279 in Experiment B. The method developed in this study could contribute towards developing optimal procedures for evaluating wheat grain quality by in situ canopy-reflected spectrum and ASTER image at anthesis stage. CP derived from both in situ spectrum and the ASTER image exhibited high accuracy and the precision in Experiment C. The RMSE were 0.893 % for in situ spectrum model and 1.654 % for ASTER image model, and the R2> were 0.7661 and 0.7194 for both, respectively. It is thus feasible to forecast grain quality by NRI derived from in situ canopy-reflected spectrum and ASTER image. Our results indicated that the inversion of FNC and the evaluation of CP by NRI were surprisingly good.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Wenjiang Huang ; Xiaoyu Song ; David W. Lamb ; Zhijie Wang ; Zheng Niu, et al.
"Estimation of winter wheat grain crude protein content from in situ reflectance and advanced spaceborne thermal emission and reflection radiometer image", J. Appl. Remote Sens. 2(1), 023530 (July 21, 2008). ; http://dx.doi.org/10.1117/1.2968954


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