基于无人机遥感的冬小麦叶绿素含量多光谱反演

ISWC OpenIR > 水保所知识产出(1956---)

	基于无人机遥感的冬小麦叶绿素含量多光谱反演
	周敏姑 1,2,3; 邵国敏 1,2,3; 张立元 1,2,3; 刘治开 1,2,3; 韩文霆 1,2,3
	2019
发表期刊	节水灌溉
期号	9 页码:40-45
摘要	以杨凌地区冬小麦为研究对象，使用六旋翼无人机搭载ＲedEdge 多光谱相机进行叶绿素监测试验。共选取 65 个样本，每个样本为 1 m×1 m 的样地，在样地内选取小麦冠层的 7 片叶片，测量相对叶绿素含量 SPAD 值，取平均值作为实测值，GPS 记录位置信息。地面数据测量与无人机飞行测量同步进行。用 Pix4D mapper 软件对无人机多光谱影像进行拼接处理，得到 4 个波段下小麦冠层叶片反射率光谱图像，并利用 ENVI 5．1 软件提取光谱反射率数据。选取 8 种常用光谱参数，其中与小麦 SPAD 相关性较高的有 SAVI、EVI2、DVI、ＲVI、NDVI、EVI 和 AＲVI 共 7 种，相关系数均在 0．67 以上。用 7 种光谱参数和小麦 SPAD 实测值，使用一元线性回归法和多元线性回归法构建反演模型并进行精度分析，结果表明: 一元线性回归法构建的 SPAD－SAVI 模型精度最佳，决定系数( Ｒ2 ) 为 0．866，均方根误差ＲMSE 为 0．245，可作为无人机遥感快速、无损监测冬小麦叶绿素的技术手段。
其他摘要	Taking winter wheat in Yangling area as the research object，a six － rotor uav ( unmanned aerial vehicle) with ＲedEdge multispectral camera was used for chlorophyll monitoring test． A total of 65 samples were selected，each of which was 1 m×1 m sample plot． Seven leaves of wheat canopy were selected in the sample plot to measure the SPAD value of relative chlorophyll content． The mean value was taken as the measured value，and GPS recorded the location information． Ground data measurement and uav flight measurement were carried out synchronously． The Pix4D mapper software was used to splicing multi－spectral images of uav，and wheat canopy reflectance spectra in 4 bands were extracted． Eight commonly used spectral parameters were selected，among which SAVI，EVI2，DVI，ＲVI，NDVI，EVI and AＲVI had high correlation with wheat SPAD，and the correlation coefficients were all above 0．67． With 7 spectral parameters and wheat SPAD measured values，using unitary linear regression method and multiple linear regression method，an inverse model was constructed and precision analysis was carried out． The results showed that the SPAD－SAVI model constructed by unitary linear regression method had the best accuracy，the determination coefficient ( Ｒ2 ) was 0．866，and the root－mean－square error ( ＲMSE) was 0．245． The research results can be used as a technique for rapid and nondestructive monitoring of chlorophyll in winter wheat by uav．
关键词	冬小麦叶绿素相对含量六旋翼无人机无人机遥感反演
收录类别	中文核心期刊要目总览
语种	中文
文献类型	期刊论文
条目标识符	sbir.nwafu.edu.cn/handle/361005/9263
专题	水保所知识产出(1956---)
作者单位	1.西北农林科技大学旱区节水农业研究院 2.西北农林科技大学机械与电子工程学院 3.西北农林科技大学水土保持研究所
推荐引用方式 GB/T 7714	周敏姑,邵国敏,张立元,等. 基于无人机遥感的冬小麦叶绿素含量多光谱反演[J]. 节水灌溉,2019(9):40-45.
APA	周敏姑,邵国敏,张立元,刘治开,&韩文霆.(2019).基于无人机遥感的冬小麦叶绿素含量多光谱反演.节水灌溉(9),40-45.
MLA	周敏姑,et al."基于无人机遥感的冬小麦叶绿素含量多光谱反演".节水灌溉 .9(2019):40-45.

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