31 July 2005 Study on monitoring freezing disasters in winter wheat by remote sensing and variational techniques
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This work was based upon the combination of space- and ground-based data. Sensings at 1.1 km × 1.1 km resolution from the polar-orbiting weather satellite were retrieved by a range of split window algorithms to obtain surface temperatures, which were used to construct a regression equation with minimum surface temperatures (MST) measured at a number of meteorological stations, with the retrievals and measurements corrected by a variational scheme to get gridded MST's. After comparison of errors from these algorithms the best one was selected for retrieving. By use of the retrieved temperatures re-corrected by the variational technique, injury indices and wheat conditions during its growth stages, the regional distribution was prepared of varying-degree cold injuries to the crop, with corresponding hit areas statistically calculated, thereby making it possible to sensings monitor the injuries and precisely determine areas hit by the varying-degree droughts.
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Xuefen Zhang, Xuefen Zhang, Huailiang Chen, Huailiang Chen, Chunhui Zou, Chunhui Zou, Youfei Zheng, Youfei Zheng, Shitao Wang, Shitao Wang, Dong Chen, Dong Chen, Xiangjian Fu, Xiangjian Fu, } "Study on monitoring freezing disasters in winter wheat by remote sensing and variational techniques", Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58841J (31 July 2005); doi: 10.1117/12.616586; https://doi.org/10.1117/12.616586

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