基于“三边”参数的冬小麦冠层SPAD值监测模型  

Monitoring model of SPAD value of winter wheat canopy based on″three-edge″parameters

作　　者：林少喆 彭致功[2] 王春堂[1] 张宝忠[2] 魏征[2] 张倩 韩娜娜 刘露 LIN Shaozhe;PENG Zhigong;WANG Chuntang;ZHANG Baozhong;WEI Zheng;ZHANG Qian;HAN Nana;LIU Lu(College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Tai′an, Shandong 271018, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

机构地区：[1]山东农业大学水利土木工程学院,山东泰安271018 [2]中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京100038

出　　处：《排灌机械工程学报》2021年第1期102-108,共7页Journal of Drainage and Irrigation Machinery Engineering

基　　金：国家重点研发计划项目(2018YFC0407703);宁夏回族自治区重点研发计划重大项目(2018BBF02022);中国水利水电科学研究院基本科研业务费专项(ID0145B082017,ID0145B742017,ID0145B492017);流域水循环模拟与调控国家重点实验室自主研究项目(2016TS06);山东省重点研发计划项目(2018GNC110015);山东省自然科学基金资助项目(ZR2017MEE001)。

摘　　要：开展冬小麦冠层SPAD值监测,建立“三边”参数与SPAD值之间的高光谱估算模型,以期为高光谱诊断冬小麦冠层SPAD值提供理论依据和技术支持.以冬小麦冠层反射率与冠层SPAD值的相关关系为基础,构建基于“三边”参数的冬小麦冠层SPAD值的一元线性回归模型和主成分回归模型.结果表明:拔节期、抽穗期、灌浆期和全生育期分别以红谷位置、(SDr-SDb)/(SDr+SDb)、红谷幅值、(SDr-SDy)/(SDr+SDy)的相关系数最高,且均具有统计学意义(P<0.01);采用主成分方法构建的光谱模型在拔节期、抽穗期、灌浆期和全生育期相较于同期一元线性回归模型,决定系数R2分别提高49.6%,54.3%,14.3%和8.6%,均方根误差RMSE与相对误差RE均分别减少9.0%,12.4%,13.5%和13.6%,因此采用综合光谱信息构建主成分回归模型,在各生育时段及全生育时段对冬小麦冠层SPAD值均有较高的估算精度,可为冬小麦SPAD值的监测与诊断提供依据.In order to provide theoretical basis and technical support for hyperspectral diagnosis of the SPAD value of winter wheat canopy,the hyperspectral estimation model between″three-edge″parameters and SPAD value was established.Based on the correlation between canopy reflectance and canopy SPAD value of winter wheat,the linear regression model and principal component regression model of canopy SPAD value of winter wheat based on″three-edge″parameters were constructed.The results show that the correlation coefficients of red valley location,(SDr-SDb)/(SDr+SDb),red valley amplitude,(SDr-SDy)/(SDr+SDy)are the highest at jointing stage,heading stage,filling stage and whole growth period,respectively,and all have statistical significance(P<0.01);compared with the same linear regression model,the spectral model constructed by principal component method increase the determinant coefficients R2 by 49.6%,54.3%,14.3%,8.6%at jointing stage,heading stage,filling stage and whole growth stage,and the root mean square error RMSE and relative error RE decrease by 9.0%,12.4%,13.5%and 13.6%,respectively.Therefore,the principal component regression model based on comprehensive spectral information has a high estimation accuracy for the SPAD value of winter wheat canopy in each growth period and the whole growth period,which can provide a basis for monitoring and diagnosing the SPAD value of winter wheat.

关 键 词：冬小麦 冠层反射率 SPAD值 “三边”参数 一元线性回归模型 主成分回归模型 

分 类 号：S127[农业科学—农业基础科学] S512[农业科学—作物学]