Prediction of winter wheat grain protein content by ASTER image

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NETL

外文摘要：The Advanced technology in space-borne 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 R~2=0。7302。 The method developed in this study could contribute towards developing optimal procedures for evaluating wheat grain quality by ASTER image at anthesis stage。 The RMSE was 0。893 % for ASTER image model， and the R~2 was 0。7194。 It is thus feasible to forecast grain quality by NRI derived from ASTER image。

外文关键词：

winter wheatASTER imagegrain protein contentnitrogen reflectance index

作者：

Wenjiang Huang、Xiaoyu Song、Jihua Wang、Zhijie Wang、Chunjiang Zhao

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作者单位：

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

Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Quebec, J3B 3E6, Canada

会议名称：

Conference on remote sensing for agriculture, ecosystems, and hydrology X;International symposium on remote sensing

会议地点：

Wales(GB);Wales(GB)

会议母体文献：

Remote sensing for agriculture, ecosystems, and hydrology X

页码：

71040Y.1-71040Y.8

出版时间：

2008