双子叶植物叶片类胡萝卜素含量高光谱反演估算
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摘要
类胡萝卜素(Car)是植物进行光合作用的主要色素之一,在吸收传递光能、保护叶绿素,以及延缓叶片衰老等方面有重要作用。以LOPEX’93数据库为基础,系统分析400~2 500 nm高光谱波段范围内任意两波段组合而成的归一化差值植被指数(NDVI)、比值植被指数(RVI)和差值植被指数(DVI)与双子叶植物叶片Car含量间的定量关系。结果表明,在756 nm处红光波段与809 nm处近红外波段的NDVI_((809,756))、RVI_((809,756)),以及750 nm处红光波段与809 nm处近红外波段的DVI_((809,750))都可以较好地实现Car含量反演,建立的回归预测模型的判定系数(R~2)均大于0.74。对由各植被指数构建的反演模型进行精度验证发现,NDVI_((809,756))和RVI_((809,756))的估算效果相当,且都好于DVI_((809,750)),模型预测精度分别为0.735和0.738,均方根误差分别为1.426 1和1.420 5,平均相对误差分别为13.66%和13.60%。表明基于高光谱数据对双子叶植物叶片Car含量进行估算是可行的。
Carotenoid(Car)is one of the main pigment of photosynthesis for plants.It plays an important role in light absorption and transmission,chlorophyll protection,leaf senescence delaying and so on.Based on LOPEX’93database,the present study systematically analyzed quantitative relationship within Car content in dicotyledonous plants leaves and normalized difference vegetation index(NDVI),ratio of vegetation index(RVI),and difference vegetation index(DVI).It was shown that NDVI_((809,756))and RVI_((809,756))combining of infrared band at 756 nm and the near infrared band at 809 nm,and DVI_((809,750))combining of infrared band at 750 nm and 809 nm all could achieve better inversion of Car content.Determination coefficient(R~2)of the established regression prediction modes were higher than 0.74.By verifying the accuracy of the inversion model estimated based on vegetation index,it was found that the effects of NDVI_((809,756))and RVI_((809,756))were comparable and better than that of the DVI_((809,750)),of which the prediction accuracies were 0.735 and 0.738,respectively,the root mean square errors were 1.426 1 and1.420 5,respectively,and the average relative errors were 13.66%and 13.60%,respectively.Thus,estimation of Car content in dicotyledonous plants leaves based on the hyperspectral data was feasible.
Carotenoid(Car)is one of the main pigment of photosynthesis for plants.It plays an important role in light absorption and transmission,chlorophyll protection,leaf senescence delaying and so on.Based on LOPEX’93database,the present study systematically analyzed quantitative relationship within Car content in dicotyledonous plants leaves and normalized difference vegetation index(NDVI),ratio of vegetation index(RVI),and difference vegetation index(DVI).It was shown that NDVI_((809,756))and RVI_((809,756))combining of infrared band at 756 nm and the near infrared band at 809 nm,and DVI_((809,750))combining of infrared band at 750 nm and 809 nm all could achieve better inversion of Car content.Determination coefficient(R~2)of the established regression prediction modes were higher than 0.74.By verifying the accuracy of the inversion model estimated based on vegetation index,it was found that the effects of NDVI_((809,756))and RVI_((809,756))were comparable and better than that of the DVI_((809,750)),of which the prediction accuracies were 0.735 and 0.738,respectively,the root mean square errors were 1.426 1 and1.420 5,respectively,and the average relative errors were 13.66%and 13.60%,respectively.Thus,estimation of Car content in dicotyledonous plants leaves based on the hyperspectral data was feasible.
引文
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[15]DATT B.A new reflectance index for remote sensing of chlorophyll content in higher plants:tests using Eucalyptus leaves[J].Journal of Plant Physiology,1999,154(1):30-36.
[16]GITELSON A A,ZUR Y,CHIVKUNOVA O B,et al.Assessing carotenoid content in plant leaves with reflectance spectroscopy[J].Photochemistry and Photobiology,2002,75(3):272-281.
[17]唐延林,黄敬峰,王秀珍,等.玉米叶片高光谱特征及与叶绿素、类胡萝卜素相关性的研究[J].玉米科学,2008,16(2):71-76.TANG Y L,HUANG J F,WANG X Z,et al.Study on hyper spectral characteristics of corn leaves and their correlation to chrolophyll and carotenoid[J].Journal of Maize Sciences,2008,16(2):71-76.(in Chinese with English abstract)
[18]唐延林,王纪华,黄敬峰,等.水稻成熟过程中高光谱与叶绿素、类胡萝卜素的变化规律研究[J].农业工程学报,2003,19(6):167-173.TANG Y L,WANG J H,HUANG J F,et al.Variation law of hyperspectral data and chorophyll and carotenoid for rice in mature process[J].Transactions of the Chinese Society of Agricultural Engineering,2003,19(6):167-173.(in Chinese with English abstract)
[19]王福民,黄敬峰,王秀珍.水稻叶片叶绿素、类胡萝卜素含量估算的归一化色素指数研究[J].光谱学与光谱分析,2009,29(4):1064-1068.WANG F M,HUANG J F,WANG X Z.Normalized difference ratio pigment index for estimating chlorophyll and carotenoid contents of in leaves of rice[J].Spectroscopy and Spectral Analysis,2009,29(4):1064-1068.(in Chinese with English abstract)
[20]高灯州,章文龙,陈美田,等.秋茄类胡萝卜素含量高光谱反演[J].生态学杂志,2014,33(11):3053-3059.GAO D Z,ZHANG W L,CHEN M T,et al.Retrieval of carotenoid contens of Kandelia candel based on hyper-spectral remote sensing data[J].Chinese Journal of Ecology,2014,33(11):3053-3059.(in Chinese with English abstract)
[21]武建林,王家强,温善菊,等.胡杨条形叶和卵形叶片类胡萝卜素含量与高光谱反射率的相关性研究[J].塔里木大学学报,2014,26(2):1-10.WU J L,WANG J Q,WEN S J,et al.Correlations between carotenoids contents and hyperspectral reflectance of strip and oval leaves of populus euphratica[J].Journal of Tarim University,2014,26(2):1-10.(in Chinese with English abstract)
[22]王弘,施润和,刘浦东,等.植物光学模型估算叶片类胡萝卜素含量的一种双归一化差值-比值植被指数[J].光谱学与光谱分析,2016,36(7):2189-2194.WANG H,SHI R H,LIU P D,et al.Dual NDVI ratio vegetation index:a kind of vegetation index assessing leaf carotenoid content based on leaf optical properties model[J].Spectroscopy and Spectral Analysis,2016,36(7):2189-2194.(in Chinese with English abstract)
[2]BISWALL B.Carotenoid catabolism during leaf senescence and its control by light[J].Journal of Photochemistry and Photobiology B:Biology,1995,30(1):3-13.
[3]伍维模,牛建龙,温善菊,等.植物色素高光谱遥感研究进展[J].塔里木大学学报,2009,21(4):61-68.WU W M,NIU J L,WEN S J,et al.Research advances in hyperspectral remote sensing techniques in quantifying plant pigments[J].Journal of Tarim University,2009,21(4):61-68.(in Chinese with English abstract)
[4]冯伟,朱艳,田永超,等.基于高光谱遥感的小麦冠层叶片色素密度监测[J].生态学报,2008,28(10):4902-4911.FENG W,ZHU Y,TIAN Y C,et al.Monitoring canopy leaf pigment density in wheat with hyperspectral remote sensing[J].Acta Ecologica Sinica,2008,28(10):4902-4911.(in Chinese with English abstract)
[5]CURRAN P J.Remote sensing of foliar chemistry[J].Remote Sensing of Environment,1989,30(3):271-278.
[6]张国圣,许童羽,于丰华,等.基于高光谱的水稻叶片氮素估测与反演模型[J].浙江农业学报,2017,29(5):845-849.ZHANG G S,XU T Y,YU F H,et al.Nitrogen content inversion of rice leaf based on the hyperspectral data[J].Acta Agriculturae Zhejiangensis,2017,29(5):845-849.(in Chinese with English abstract)
[7]GONG P,PU R,HEALD R C.Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia[J].International Journal of Remote Sensing,2002,23(9):1827-1850.
[8]CHO M A,SKIDMORE A K,ATZBERGER C.Towards rededge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles(PROSPECT)and scattering by arbitrarily inclined leaves(SAILH)simulated data[J].International Journal of Remote Sensing,2008,29(8):2241-2255.
[9]GROSSMAN Y L,UUTIN S L,JACQUEMOUD S,et al.Critique of stepwise multiple linear regission for the extraction of leaf biochemistry information from leaf reflectance data[J].Remote Sensing of Environment,1996,56(3):182-193.
[10]MAIN R,CHO M A,MATHIEU R,et al.An investigation into robust spectral indices for leaf chlorophyll estimation[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(6):751-756.
[11]FERET J B,FRANCOIS C,ASNER G P,et al.PROSPECT-4 and 5:advances in the leaf optical properties model separating photosyntheic pigments[J].Remote Sensing of Environment,2008,112(6):3030-3043.
[12]陈春玲,马航,许童羽,等.东北粳稻叶片植被指数NDVI与PRI的相关性分析[J].浙江农业学报,2016,28(12):1963-1969.CHEN C L,MA H,XU T Y,et al.Correlation analysis of leaf vegetation index NDVI and PRI of Northeast japonica rice[J].Acta Agriculturae Zhenjiangensis,2016,28(12):1963-1969.(in Chinese with English abstract)
[13]BLACKBURM G A.Quantifying chlorophylls and caroteniods at leaf and canopy scales:an evaluation of some hyperspectral approaches[J].Remote Sensing of Environment,1998,66(3):273-285.
[14]CHAPPELLE E W,KIM M S,MC MURTREY J E.Ratio analysis of reflectance spectra RARS:an algorithm for the remote estimation of the concentrations of chlorophyll a,chlorophyll b,and carotenoids in soybean leaves[J].Remote Sensing of Environment,1992,39(3):239-247.
[15]DATT B.A new reflectance index for remote sensing of chlorophyll content in higher plants:tests using Eucalyptus leaves[J].Journal of Plant Physiology,1999,154(1):30-36.
[16]GITELSON A A,ZUR Y,CHIVKUNOVA O B,et al.Assessing carotenoid content in plant leaves with reflectance spectroscopy[J].Photochemistry and Photobiology,2002,75(3):272-281.
[17]唐延林,黄敬峰,王秀珍,等.玉米叶片高光谱特征及与叶绿素、类胡萝卜素相关性的研究[J].玉米科学,2008,16(2):71-76.TANG Y L,HUANG J F,WANG X Z,et al.Study on hyper spectral characteristics of corn leaves and their correlation to chrolophyll and carotenoid[J].Journal of Maize Sciences,2008,16(2):71-76.(in Chinese with English abstract)
[18]唐延林,王纪华,黄敬峰,等.水稻成熟过程中高光谱与叶绿素、类胡萝卜素的变化规律研究[J].农业工程学报,2003,19(6):167-173.TANG Y L,WANG J H,HUANG J F,et al.Variation law of hyperspectral data and chorophyll and carotenoid for rice in mature process[J].Transactions of the Chinese Society of Agricultural Engineering,2003,19(6):167-173.(in Chinese with English abstract)
[19]王福民,黄敬峰,王秀珍.水稻叶片叶绿素、类胡萝卜素含量估算的归一化色素指数研究[J].光谱学与光谱分析,2009,29(4):1064-1068.WANG F M,HUANG J F,WANG X Z.Normalized difference ratio pigment index for estimating chlorophyll and carotenoid contents of in leaves of rice[J].Spectroscopy and Spectral Analysis,2009,29(4):1064-1068.(in Chinese with English abstract)
[20]高灯州,章文龙,陈美田,等.秋茄类胡萝卜素含量高光谱反演[J].生态学杂志,2014,33(11):3053-3059.GAO D Z,ZHANG W L,CHEN M T,et al.Retrieval of carotenoid contens of Kandelia candel based on hyper-spectral remote sensing data[J].Chinese Journal of Ecology,2014,33(11):3053-3059.(in Chinese with English abstract)
[21]武建林,王家强,温善菊,等.胡杨条形叶和卵形叶片类胡萝卜素含量与高光谱反射率的相关性研究[J].塔里木大学学报,2014,26(2):1-10.WU J L,WANG J Q,WEN S J,et al.Correlations between carotenoids contents and hyperspectral reflectance of strip and oval leaves of populus euphratica[J].Journal of Tarim University,2014,26(2):1-10.(in Chinese with English abstract)
[22]王弘,施润和,刘浦东,等.植物光学模型估算叶片类胡萝卜素含量的一种双归一化差值-比值植被指数[J].光谱学与光谱分析,2016,36(7):2189-2194.WANG H,SHI R H,LIU P D,et al.Dual NDVI ratio vegetation index:a kind of vegetation index assessing leaf carotenoid content based on leaf optical properties model[J].Spectroscopy and Spectral Analysis,2016,36(7):2189-2194.(in Chinese with English abstract)