基于无人机高光谱和数码影像数据的冬小麦生物量反演  被引量:4

Winter Wheat Biomass Inversion Based on UAV Hyperspectral and Digital Image Data

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作  者:李天驰 冯海宽[2] 朱贝贝 范园园 金丽妍 成倩 李倩雨 LI Tianchi;FENG Haikuan;ZHU Beibei;FAN Yuanyuan;JIN Liyan;CHENG Qian;LI Qianyu(College of Civil Engineering,Henan University of Engineering,Zhengzhou Henan 451191;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097)

机构地区:[1]河南工程学院土木工程学院,河南郑州451191 [2]国家农业信息化工程技术研究中心,北京100097

出  处:《现代农业科技》2020年第20期1-5,共5页Modern Agricultural Science and Technology

基  金:国家自然科学基金项目(41601346);2020年度河南省科技攻关计划项目(202102310333);河南工程学院2019年国家级大学生创新创业训练计划项目(201911517002)。

摘  要:生物量是作物生长过程中重要的生物参数之一,能较好地反映作物长势情况。本研究获取了冬小麦开花期数码影像数据、高光谱数据和实测生物量数据,运用相关性分析筛选出对冬小麦生物量相关性高的数码影像指数和植被指数,分别使用多元线性回归分析和逐步回归分析法建立生物量反演估算模型,最后将最优模型估算结果进行可视化空间分析。结果表明,与冬小麦生物量相关性高的数码影像指数有VARI、MGRVI、b等,植被指数有NDVI、SR、LCI、OSAVI等。建立的冬小麦生物量反演模型估算效果较好,其中精度最高的模型为高光谱数据多元线性回归模型,其验证模型均方根误差为0.9041 t/hm^2。可视化处理结果能直观地显示试验区冬小麦生物量分布情况,为生长监测及种植管理提供有效依据。Biomass is one of the important biological parameters in the process of crop growth,which can better reflect the growth of crops.Digital image data,hyperspectral data and measured biomass data of winter wheat at flowering stage were obtained in this study,and correlation analysis was used to select the biomass parameters that are important to the growth of the crop.Multiple linear regression analysis and stepwise regression analysis was used respectively to establish the estimation model of biomass inversion,and finally the results of the optimal model estimation were analyzed by visual spatial analysis.The results showed that the digital image indexes with high correlation with winter wheat biomass were VARI,MGRVI,b,etc.,and the vegetation indexes were NDVI,SR,LCI,OSAVI,etc.The established winter wheat biomass inversion model has a good estimation effect,and the hyperspectral data multiple linear regression model has the highest accuracy,and the root mean square error of the verification model is 0.9041 t/hm2.The visualized processing results can intuitively display the winter wheat biomass distribution in the test area,which provides an effective basis for growth monitoring and planting management.

关 键 词:无人机 冬小麦 生物量 植被指数 

分 类 号:S129[农业科学—农业基础科学]

 

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