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滴灌棉花不同生育时期冠层叶片叶绿素含量的高光谱估测模型
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  • 英文篇名:Hyperspectral Estimation Model of Chlorophyll Content in Cotton Canopy Leaves under Drip Irrigation at Different Growth Stages
  • 作者:洪帅 ; 张泽 ; 张立福 ; 马露露 ; 海兴岩 ; 王振 ; 张辉 ; 吕新
  • 英文作者:Hong Shuai;Zhang Ze;Zhang Lifu;Ma Lulu;Hai Xingyan;Wang Zhen;Zhang Hui;Lü Xin;School of Agriculture, Shihezi University;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;School of Life Sciences, Shihezi University;
  • 关键词:棉花 ; 高光谱 ; 叶绿素含量 ; 光谱指数
  • 英文关键词:cotton;;hyperspectral;;chlorophyll content;;spectral parameters
  • 中文刊名:MHXB
  • 英文刊名:Cotton Science
  • 机构:石河子大学农学院;中国科学院遥感与数字地球研究所;石河子大学生命科学学院;
  • 出版日期:2019-03-15
  • 出版单位:棉花学报
  • 年:2019
  • 期:v.31
  • 基金:新疆生产建设兵团应用基础研究计划项目(2016AG002);; 中国博士后科学基金(2017M623282);; 石河子大学高层次人才科研启动项目(RC2X201516)
  • 语种:中文;
  • 页:MHXB201902006
  • 页数:9
  • CN:02
  • ISSN:41-1163/S
  • 分类号:54-62
摘要
【目的】利用高光谱数据对新疆北方地区不同生育时期滴灌棉花冠层叶片叶绿素含量进行估测,建立生长时序的叶绿素含量估算模型。【方法】以新陆早45号为试验材料,测定不同施氮水平和生育时期棉花冠层叶片叶绿素含量及对应的光谱反射率,分析了12种指数与叶绿素含量的关系,构建了滴灌棉花冠层叶片叶绿素含量的估测模型。【结果】棉花的4个生育时期(现蕾期、盛蕾期、花铃期和吐絮期)中冠层叶片叶绿素含量与Vogelmann红边指数1的相关系数都高,分别是0.944、0.907、0.895、0.930;采用多元回归方法建立的模型精度高于单指数线性模型,其决定系数都大于0.8,且均方根误差(RMSE)都较小。现蕾期模型(y=82.509x_1+89.937x_2-94.438)精度最好。【结论】针对不同生育时期建立的模型均可对棉花冠层叶片叶绿素含量进行估测,其中现蕾期模型监测效果最好。
        [Objective] This article is aimed to estimate the chlorophyll content of cotton canopy leaves in drip irrigation fields at different growth stages in northern Xinjiang and establish a model for estimating chlorophyll content in growth time series by using hyperspectral. [Method] Using Xinluzao 45 as the experimental material, the chlorophyll content and the corresponding spectral reflectance of cotton canopy leaves at different nitrogen levels and growing stages were measured, and the relationship between 12 indices and the chlorophyll content was analyzed. The estimation models of the chlorophyll content in cotton canopy leaves under drip irrigation were established. [Result] The correlation coefficient between the chlorophyll content of canopy leaves and Vogelmann red edge index was high in the four growing periods of cotton, and the correlation coefficient was 0.944,0.907, 0.895, 0.930, respectively. And the spectral reflectivity was the highest at the flowering and boll period. The precision of the model established by the multivariate regression method is higher than that of the single exponential linear model with the determination coefficient more than 0.8 and the root mean square error smaller than that of the single exponential linear model.The model of the budding stage(y=82.509x_1+89.937x_2-94.438) has the best precision. [Conclusion] The chlorophyll content can be estimated by the models established at different growth stages, and the budding stage model has the best monitoring effect.
引文
[1]程乾,黄敬峰,王人潮,等.MODIS植被指数与水稻叶面积指数及叶片叶绿素含量相关性研究[J].应用生态学报,2004,15(8):1363-1367.https://doi.org/10.13287/j.1001-9332.2004.0288Cheng Qian,Huang Jingfeng,Wang Renchao,et al.MODIS vegetation index and leaf area index and chlorophyll content of rice[J].Chinese Journal of Applied Ecology,2004,15(8):1363-1367.
    [2]祁亚琴,吕新,陈冠文,等.基于高光谱植被指数的棉田冠层特征信息估算模型研究[J].棉花学报,2011,23(2):167-171.https://doi.org/10.3969/j.issn.1002-7807.2011.05.015Qi Yaqin,LüXin,Chen Guanwen,et al.Based on hyperspectral vegetation index,cotton field canopy characteristic information estimation model[J].Cotton Science,2011,23(2):167-171.
    [3]Wessman C A,Aber J D.Foliar analysis using near infrared reflectance spectroscopy[J].Canadian Journal of Forest Research,1988,18(1):6-11.https://doi.org/10.1139/x88-002
    [4]Filella I,Penuelas J.The red edge position and shape as indicators of plant chlorophyll content,biomass and hydric status[J].International Journal of Remote Sensing,1994,15(7):1459-1470.https://doi.org/10.1080/01431169408954177
    [5]杨杰,田永超,姚霞,等.水稻上部叶片叶绿素含量的高光谱估算模型[J].生态学报,2009,29(12):6561-6571.https://doi.org/10.3321/j.issn:1000-0933.2009.12.031Yang Jie,Tian Yongchao,Yao Xia,et al.Hyperspectral estimation model of chlorophyll content in upper leaves of rice[J].Acta Ecologica Sinica,2009,29(12):6561-6571.
    [6]田明璐,班松涛,常庆瑞,等.基于无人机成像光谱仪数据的棉花叶绿素含量反演[J].农业机械学报,2016,47(11):285-293.https://doi.org/10.6041/j.issn.1000-1298.2016.11.039Tian Minglu,Ban Songtao,Chang Qingrui,et al.Inversion of Cotton chlorophyll content based on UAV Imaging spectrometer data[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(11):285-293.
    [7]刘秀英,熊建利.基于植被指数的马尾松叶绿素含量估算模型[J].西北林学院学报,2012,17(3):44-47.https://doi.org/10.3969/j.issn.1001-7461.2012.03.10Liu Xiuying,Xiong Jianli.Estimation model of chlorophyll content of Pinus massoniana based on vegetation index[J].Journal of Northwest Forestry University,2012,17(3):44-47.
    [8]章曼,常庆瑞,张晓华,等.不同施肥条件下水稻冠层光谱特征与叶绿素含量的相关性[J].西北农业学报,2015,24(11):49-56.https://doi.org/10.7606/j.issn.1004-1389.2015.11.009Zhang Man,Chang Qingrui,Zhang Xiaohua,et al.Relativity between spectral characteristics of rice canopy and leaf green content under different fertilization conditions[J].Acta Agriculturae Boreali-Occidentalis Sinica,2015,24(11):49-56.
    [9]吴长山,童庆禧,郑兰芬.水稻、玉米的光谱数据与叶绿素的相关分析[J].应用基础与工程科学学报,2008,8(1):31-37.Wu Changshan,Tong Qingxi,Zheng Lanfen.Correlation analysis between chlorophyll and spectral data of rice,maize[J].Journal of Basic Science and Engineering,2008,8(1):31-37.https://doi.org/10.3969/j.issn.1005-0930.2000.01.005
    [10]李辉,白丹,张卓,等.羊草叶片SPAD值与叶绿素含量的相关分析[J].中国农学通报,2012,28(2):27-30.https://doi.org/10.3969/j.issn.1000-6850.2012.02.007Li Hui,Bai Dan,Zhang Zhuo,et al.Analysis of correlation between leaf SPAD value and chlorophyll content of Leymus chinensis[J].Chinese Agricultural Science Bulletin,2012,28(2):27-30.
    [11]姚付启,张振华,杨润亚,等.基于主成分分析和BP神经网络的法国梧桐叶绿素含量高光谱反演研究[J].测绘科学,2010,35(1):109-112.https://doi.org/10.16251/j.cnki.1009-2307.2010.01.065Yao Fuqi,Zhang Zhenhua,Yang Runya,et al.Research on Platanus orientalis L.chlorophyll concentration estimation with hyperspectral data based on BP-artificial neural network and principal component analysis[J].Science of Surveying and Mapping,2010,35(1):109-112.
    [12]张露洁,兰利琼,卿人韦,等.几种重金属离子对组培盾叶薯蓣叶绿素含量的影响[J].四川大学学报(自然科学版),2006,43(1):200-205.https://doi.org/10.3969/j.issn.0490-6756.2006.01.036Zhang Lujie,Lan Liqiong,Qing Renwei,et al.Effects of several heavy metal Ions on chlorophyll content in tissue culture of Dioscorea zingiberensis[J].Journal of Sichuan University(Natural Science Edition),2006,43(1):200-205.
    [13]王强,易秋香.基于高光谱反射率的棉花冠层叶绿素密度估算[J].农业工程学报,2012,15(8):125-132.https://doi.org/10.3969/j.issn.1002-6819.2012.15.020Wang Qiang,Yi Qiuxiang.Estimation of chlorophyll density in cotton canopy based on hyperspectral reflectance[J].Transactions of the Chinese Society of Agricultural Engineering,2012,15(8):125-132.
    [14]夏天,周勇,周清波,等.基于高光谱遥感和HJ-1卫星的冬小麦SPAD反演研究[J].长江流域资源与环境.2013,22(3):307-313.Xia Tian,Zhou Yong,Zhou Qingbo,et al.Winter wheat SPADinversion based on hyperspectral remote sensing and HJ-1 satellite[J].Resources and Environment in the Yangtze Basin,2013,22(3):307-313.
    [15]卢霞.沿海滩涂棉花叶片叶绿素含量高光谱遥感估算模型研究[J].安徽农业科学,2011,39(12):7452-7454.https://doi.org/10.3969/j.issn.0517-6611.2011.12.193Lu Xia.Study on hyperspectral remote sensing estimation model of cotton leaf chlorophyll content in coastal beach[J].Journal of Anhui Agricultural Sciences,2011,39(12):7452-7454.
    [16]Person T,Klein H,Itil T.Family and environmental variables as predictors of social outcome in chronic schizophrenia[J].Comprehensive Psychiatry,1972,13(4):317-334.https://doi.org/10.1016/0010-440X(72)90002-8
    [17]宁新柱,邓福军,林海,等.早熟陆地棉新品种---新陆早45号[J].中国棉花,2011,38(1):27.Ning Xinzhu,Deng Fujun,Lin Hai,et al.Early maturing upland cotton variety-Xinluzao 45[J].China Cotton,2011,38(1):27.
    [18]Mistele B,Schmidhalter U.Tractor-based quadrilateral spectral reflectance measurements to detect biomass and total aerial nitrogen in winter wheat[J].Agronomy Journal,2010,102(2):499-506.https://doi.org/10.2134/agronj2009.0282
    [19]Haboudane D,Miller J R,Tremblay N,et al.Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture[J].Remote Sensing of Environment,2002,81(2):416-426.https://doi.org/10.1016/s0034-4257(02)00018-4
    [20]Daughtry C S T,Walthall C L,Kim M S,et al.Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance[J].Remote Sensing of Environment,2000,74(2):229-239.https://doi.org/10.1016/S0034-4257(00)00113-9
    [21]Vogelmann J E,Rock B N,Moss D M.Red edge spectral measurements from sugar maple leaves[J].International Journal of Remote Sensing,1993,14(8):1563-1575.https://doi.org/10.1080/01431169308953986
    [22]王秀珍,黄敬峰,李云梅.水稻地上鲜生物量的高光谱遥感估算模型研究[J].作物学报,2003,29(6):815-821.https://doi.org/10.3321/j.issn:0496-3490.2003.06.004Wang Xiuzhen,Huang Jingfeng,Li Yunmei.Study on hyperspectral remote sensing estimation model of rice aboveground fresh biomass[J].Acta Agronomica Sinica,2003,29(6):815-821.
    [23]张希鹤,李岩,郁凯,等.黄萎病胁迫影响棉花幼苗光合及叶绿素荧光特性的机理[J].棉花学报,2018,30(2):136-144.https://doi.org/10.11963/1002-7807.zxhcbl.20180313Zhang Xihe,Li Yan,Yu Kai,et al.Mechanism of Verticillium wilt stress on photosynthesis and chlorophyll fluorescence of cotton seedlings[J].Cotton Science,2018,30(2):136-144.
    [24]李鹏程,刘爱忠,刘敬然,等.使用叶绿素仪进行棉花氮营养诊断应注意的几个问题[J].中国棉花,2014,41(4):38.https://doi.org/10.3969/j.issn.1000-632X.2014.04.017Li Pengcheng,Liu Aizhong,Liu Jingran,et al.Several problems should be paid attention to in the diagnosis of nitrogen nutrition in cotton with chlorophyll meter[J].China Cotton,2014,41(4):38.
    [25]汪玲,朱靖蓉,杨涛,等.氮肥施用策略对膜下滴灌棉花叶片叶绿素含量变化的影响[J].棉花学报,2010,22(5):454-459.https://doi.org/10.3969/j.issn.1002-7807.2010.05.012Wang Ling,Zhu Jingrong,Yang Tao,et al.Effect of N fertilize strategy on chlorophyll content in leaf of cotton under mulchfilm drip irrigation[J].Cotton Science,2010,22(5):454-459.
    [26]王登伟,黄春燕,张伟,等.高光谱数据与棉花叶绿素含量和叶绿素密度的相关分析[J].棉花学报,2008,20(5):368-371.https://doi.org/10.3969/j.issn.1002-7807.2008.05.009Wang Dengwei,Huang Chunyan,Zhang Wei,et al.Correlation analysis of hyperspectral data with chlorophyll content and chlorophyll density in cotton[J].Cotton Science,2008,20(5):368-371.

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