31 July 2005 Study on monitoring freezing disasters in winter wheat by remote sensing and variational techniques
Author Affiliations +
Abstract
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
9 PAGES


SHARE
Back to Top