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MONITORING MODEL OF CORN LODGING BASED ON SENTINEL-1 RADAR IMAGE

文献类型： 外文期刊

作者： Han, Dong 1 ; Yang, Hao 1 ; Yang, Guijun 1 ; Qiu, Chunxia 2 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Minist Agr PR China, Key Lab Quantitat Remote Sensing Agr, Beijing 100097, Peoples R China

2.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Shaanxi, Peoples R China

关键词： Synthetic Aperture Radar;Remote Sensing;Polarization Index;Maize;Lodging Monitoring Model

期刊名称：PROCEEDINGS OF 2017 SAR IN BIG DATA ERA: MODELS, METHODS AND APPLICATIONS (BIGSARDATA)

ISSN：

年卷期： 2017 年

页码：

收录情况： SCI

摘要： Based on the analysis of the polarization index of the Sentine-1 radar image before and after the lodging, the lodging classification model at the regional scale is established. The polarimetric index of Sentinel-1 radar image was extracted and analyzed according to the correlation analysis between the lodging index before and after the lodging. The degree of lodging was divided by the difference of plant height before and after lodging, and finally the lodging classification model was obtained. The results of correlation analysis showed that the optimal sensitivity index of maize plant height before and after lodging was VH and VV+VH, respectively. The final lodging classification model of the total sample point of lodging degree of classification accuracy was: mild lodging 97%, moderate lodging 100%, serious lodging 83%. The results show that Synthetic Aperture Radar (SAR) can effectively evaluate the degree of maize lodging at the regional scale.

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