基于Sentinel-1雷达影像的玉米倒伏监测模型

在玉米发生倒伏灾害后,为定量监测区域尺度下的玉米倒伏程度,该研究以2017年8月8日因强风和强雨造成大面积玉米倒伏的小汤山国家精准农业研究示范基地作为研究区,提取倒伏前后Sentinel-1A雷达影像的多种强度信息,与实测倒伏样本关联分析,筛选出玉米倒伏前后最佳敏感后向散射系数。采用自然高与植株高的比值作为倒伏程度评价指标并构建比值公式,最终得到倒伏监测模型。结果表明,倒伏前后玉米植株高度的最优敏感后向散射系数分别为σVH和σVV＋VH。32个建模点的实测差值结果与模拟差值结果的R~2为0.896（P〈0.01）。15个检验样本点和总样本点的倒伏程度分类准确度均达到100%。模型求解的自然高与...

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Bibliographic Details
Published in农业工程学报 Vol. 34; no. 3; pp. 166 - 172
Main Author 韩东;杨浩;杨贵军;邱春霞
Format Journal Article
LanguageChinese
Published 农业部农业遥感机理与定量遥感重点实验室,北京农业信息技术研究中心,北京 100097 2018
西安科技大学测绘科学与技术学院,西安 710054%农业部农业遥感机理与定量遥感重点实验室,北京农业信息技术研究中心,北京 100097%西安科技大学测绘科学与技术学院,西安,710054
Subjects
倒伏监测模型
合成孔径雷达
极化指数
灾害
玉米
遥感
synthetic aperture radar
玉米
合成孔径雷达
倒伏监测模型
灾害
remote sensing
lodging monitoring model
遥感
maize
极化指数
disaster
polarization index
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2018.03.022

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Summary:在玉米发生倒伏灾害后,为定量监测区域尺度下的玉米倒伏程度,该研究以2017年8月8日因强风和强雨造成大面积玉米倒伏的小汤山国家精准农业研究示范基地作为研究区,提取倒伏前后Sentinel-1A雷达影像的多种强度信息,与实测倒伏样本关联分析,筛选出玉米倒伏前后最佳敏感后向散射系数。采用自然高与植株高的比值作为倒伏程度评价指标并构建比值公式,最终得到倒伏监测模型。结果表明,倒伏前后玉米植株高度的最优敏感后向散射系数分别为σVH和σVV＋VH。32个建模点的实测差值结果与模拟差值结果的R~2为0.896（P〈0.01）。15个检验样本点和总样本点的倒伏程度分类准确度均达到100%。模型求解的自然高与植株高的比值与实测的比值总体相关性达到0.899。其中,中度倒伏类型的相关性最好,严重倒伏次之,轻度倒伏最差。该研究结果表明,在倒伏发生后,基于Sentinel-1A雷达后向散射系数构建的倒伏监测模型能在区域尺度下有效的实现玉米倒伏程度的分级监测。
Bibliography:disaster; remote sensing; synthetic aperture radar; polarization index; maize; lodging monitoring model
11-2047/S
In order to monitor the degree of maize lodging quickly and accurately at the regional scale, the study was conducted in Xiaotangshan National Experiment Station for Precision Agriculture, where serious maize lodging occurred on August 8, 2017, due to strong wind and heavy rain. Firstly, different backscatter indicators before and after lodging were obtained from 2 Sentinel-1 A radar images. Forty-seven ground sample points were obtained. The correlation coefficients between the natural height and plant height of 32 modeling samples and their backscatter indicators were investigated to choose the best backscatter indicator of maize lodging. When the backscatter indicators were used to simulate height of samples before and after lodging directly, there was a large error between the backscatter indicators of radar and those of lower or higher plant. Therefore, to establish more accurate lodging monito
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2018.03.022