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In order to further improve the accuracy and the mechanism of predicting winter wheat quality using remote sensing method, The quantitative relationships between remote sensing variables and agronomy parameters of winter wheat were analyzed. The results of the study showed that: the relationships between sedimentation value (SV) and remote sensing variables were more significant at booting stage than...
The purpose of this study is to further improve the accuracy of predicting winter wheat grain quality with remote sensing, and to enhance the prediction mechanism. In order to predict grain starch content (GSC) in winter wheat using HJ-1A/1B images, The experiment was carried out in Jiangsu regions during 2010 winter wheat growth season. Based on HJ-1A/1B image, synchronous or quasi-simultaneous ground...
The purpose of this study is to further improve the accuracy of predicting winter wheat quality with remote sensing, and to enhance the prediction mechanism. In order to predict wet gluten content (WGC) in winter wheat using HJ-1A/1B images, The experiment was carried out in Jiangsu regions during 2010 winter wheat growth season. Based on HJ-1A/1B image, synchronous or quasi-simultaneous ground observations...
The purpose of this study is to further improve the accuracy of predicting winter wheat grain quality with remote sensing, to enhance the prediction mechanism and to meet the demand for winter wheat production. In order to predict grain protein content (GPC) in winter wheat using landsat TM images, The experiment was carried out in Jiangsu regions during 2007–2009 winter wheat growth season. Based...
Data assimilation is an advanced and innovative set of techniques for variable estimation, especially in agriculture research in recent years, which integrates not only remote sensing data products, other measurements, but also land dynamic models. It can provide more abundant and precise data set, and extend data's spatiotemporal scale. In this paper, firstly composition and assimilation methods...
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