叶片—冠层尺度的毛竹林分光谱特征
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摘要
通过测定毛竹林的林分光谱数据与相应的叶绿素含量,选用原始光谱反射率、导数变换光谱与"三边"参数3种光谱形式,研究不同形式的光谱信息与相应叶绿素含量的相关关系,揭示毛竹林分光谱特征在叶片—冠层尺度的差异。结果表明,叶片尺度上,原始光谱反射率对叶绿素的敏感波段在可见光区域的543~580nm,导数光谱的敏感区域在532~543nm、599~607nm以及728~736nm,"三边"参数的敏感参数为黄边面积参数(SDy);冠层尺度上,原始光谱在可见光区域及近红外区域对叶绿素的响应程度未达到显著性水平,导数光谱的敏感响应波段在近红外区域的816~819nm,"三边"参数中各参数与叶绿素含量均没有良好的相关性。叶片—冠层尺度上,某些波段的导数光谱比原始光谱对叶绿素具有更好的响应,并且"三边"参数的黄边区域参数对叶绿素的敏感性均高于其他参数,但冠层尺度与叶片尺度光谱对叶绿素的敏感区间不存在重叠。
The correlation relationship was analyzed between chlorophyll content and spectral information of different patterns(original spectral reflectivity,derivative transformation spectral reflectance and trilateral parameters)to reveal spectral scale differences in spectral characteristics between leaf and canopy of Phyllostachys pubescens forest by determining spectral data of P.pubescens stands and its chlorophyll content.The results showed that in the leaf scale,the sensitive bands of chlorophyll were 543-580 nm at the visible range of the original spectrum,532-543 nm,599-607 nm and 728-736 nm at the first derivative spectrum;and the sensitive parameter of trilateral parameters was yellow edge region(SDy).In the canopy scale,The correlationship between original spectrum in the visible and near-infrared regions and chlorophyll content did not reach significant levels;the sensitive bands of the first derivative spectrum in near-infrared regions was 816-819 nm,and there was no good correlation between trilateral parameters with chlorophyll content.In the leaf and canopy scale,the first derivative spectrum of some bands responded better than the original spectrum,and SDy of trilateral parameters was better sensitive to chlorophyll content than the other parameters,while there was no overlapping sensitive areas between the leaf and canopy scale.
The correlation relationship was analyzed between chlorophyll content and spectral information of different patterns(original spectral reflectivity,derivative transformation spectral reflectance and trilateral parameters)to reveal spectral scale differences in spectral characteristics between leaf and canopy of Phyllostachys pubescens forest by determining spectral data of P.pubescens stands and its chlorophyll content.The results showed that in the leaf scale,the sensitive bands of chlorophyll were 543-580 nm at the visible range of the original spectrum,532-543 nm,599-607 nm and 728-736 nm at the first derivative spectrum;and the sensitive parameter of trilateral parameters was yellow edge region(SDy).In the canopy scale,The correlationship between original spectrum in the visible and near-infrared regions and chlorophyll content did not reach significant levels;the sensitive bands of the first derivative spectrum in near-infrared regions was 816-819 nm,and there was no good correlation between trilateral parameters with chlorophyll content.In the leaf and canopy scale,the first derivative spectrum of some bands responded better than the original spectrum,and SDy of trilateral parameters was better sensitive to chlorophyll content than the other parameters,while there was no overlapping sensitive areas between the leaf and canopy scale.
引文
[1]张永贺,陈文惠,郭乔影,等.桉树叶片光合色素含量高光谱估算模型[J].生态学报,2013,33(3):876-887.ZHANG Y H,CHEN W H,GUO Q Y,et al.Hyperspectral estimation models for photosynthetic pigment contents in leaves of Eucalyptus[J].Acta Ecologica Sinica,2013,33(3):876-887.(in Chinese)
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[3]COLLINS W.Remote sensing of crop type and maturity[J].Photogr.Eng.Remote Sens.,1978,44(1):43-55.
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[7]王冰,张羽震,贺文美,等.山桃叶片叶绿素SPAD值颜色特征与时空特征分析[J].西北林学院学报,2016,31(5):311-315.WANG B,ZHANG Y Z,HE W M,et al.Color and spatio-temperal characteristics of chlorophyll SPAD values of Prunus davidianaleaves[J].Journal of Northwest Forestry University,2016,31(5):311-315.(in Chinese)
[8]李敏夏,张林森,李丙智,等.苹果叶片高光谱特性与叶绿素含量和SPAD值的关系[J].西北林学院学报,2010,25(2):35-39.LI M X,ZHANG L S,LI B Z,et al.Relationship between spectral reflectance feature and their chlorophyll contentrations and SPAD value of apple leaves[J].Journal of Northwest Forestry University,2010,25(2):35-39.(in Chinese)
[9]彭懿.空间数据尺度转换和尺度效应研究[D].中山:中山大学,2007.
[10]栾海军,田庆久,余涛,等.定量遥感升尺度转换研究综述[J].地球科学进展,2013,28(6):657-664.LUAN H J,TIAN Q J,YU T,et al.Review of up-scaling of quantitative remote sensing[J].Advances in Earth Science,2013,28(6):657-664.(in Chinese)
[11]姚付启,张振华,杨润亚,等.基于红边参数的植被叶绿素含量高光谱估算模型[J].农业工程学报,2009,25(Supp.2):123-129.
[12]李小文,王祎婷.定量遥感尺度效应刍议[J].地理学报,2013,68(9):1163-1169.LI X W,WANF Y W.Prospects on future developments of quantitative remote sensing[J].Acta Geographica Sinica,2013,68(9):1163-1169.(in Chinese)
[13]宋艳冬,金爱武,金晓春,等.毛竹叶片光合色素的光谱估算模型[J].北京林业大学学报,2010,32(1):31-34.SONG Y D,JIN A W,JIN X C,et al.Models for estimation of photosynthetic pigmental spectra in Phyllostachys pubescens leaves[J].Journal of Beijing Forestry University,2010,32(1):31-34.(in Chinese)
[14]叶济宇.关于叶绿素含量测定中的Arnon计算公式[J].植物生理学杂志,1985(6):69.YE J Y.About arnon formula in determination of chlorphyll content[J].Plant Physiology Communications,1985(6):69.(in Chinese)
[15]潘蓓,赵庚星,朱西存,等.利用高光谱植被指数估测苹果树冠层叶绿素含量[J].光谱学与光谱分析,2013,33(8):2203-2206.PAN B,ZHAO G X,ZHU X C,et al.Estimation of chlorophyll content in apple tree canopy based on hyperspectral parameters[J].Spectroscopy&Spectral Analysis,2013,33(8):2203-2206.(in Chinese)
[16]高荣强,范世福,严衍禄,等.近红外光谱的数据预处理研究[J].光谱学与光谱分析,2004,24(12):1563-1565.GAO R Q,FAN S F,YAN Y L,et al.Preprocessing of near infrared spectroscopic data[J].Spectroscopy&Spectral Analysis,2004,24(12):1563-1565.(in Chinese)
[17]李园园,宋于洋,陈兵,等.荒漠公益林中典型灌木树种光谱特征研究[J].西北林学院学报,2011,26(1):155-159.LI Y Y,SONG Y Y,CHEN B,et al.Spectral features of typical shrubberies in welfare forests in desert areas[J].Journal of Northwest Forestry University,2011,26(1):155-159.(in Chinese)
[18]侯艳军,塔西甫拉提·特依拜,买买提·沙吾提,等.荒漠土壤有机质含量高光谱估算模型[J].农业工程学报,2014,30(16):113-120.HOU,Y J,TASHPOLAT·TIYIP,MAMAT·SAWUT,et al.Estimation model of desert soil organic matter content using hyperspectral data[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(16):113-120.(in Chinese)
[19]杜华强,葛宏立,范文义,等.马尾松针叶光谱特征与其叶绿素含量间关系研究[J].光谱学与光谱分析,2009,29(11):3033-3037.DU H Q,GE H L,FAN W Y,et al.Study on relationships between total chlorophyll with hyperspectral features for leaves of Pinus massoniana forest[J].Spectroscopy&Spectral Analysis,2009,29(11):3033-3037.(in Chinese)
[20]史冰全,张晓丽,白雪琪,等.基于“三边”参数的油松林叶绿素估算模型[J].东北林业大学学报,2015(5):80-83.SHI B Q,ZHANG X L,BAI X Q,et al.Chlorophyll estimation model of Pinus tabulaeformis based on“Sanbian”parameters[J].Journal of Northeast Forestry University,2015,43(5):80-83.(in Chinese)
[21]吴长山,童庆禧,郑兰芬,等.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,2000,8(1):31-37.WU C S,TONG Q X,ZHENG L F,et al.Correlation analysis between spectral data and chlorophyll of rice and maize[J].Journal of Basicence&Engineering,2000,8(1):31-37.(in Chinese)
[22]宫兆宁,赵雅莉,赵文吉,等.基于光谱指数的植物叶片叶绿素含量的估算模型[J].生态学报,2014,34(20):5736-5745.GONG Z N,ZHAO Y L,ZHAO W J,et al.Estimation model for plant leaf chlorophyll content based on the spectral index content[J].Acta EcologicaSinica,2014,34(20):5736-5745.(in Chinese)
[23]梁亮,张连蓬,林卉,等.基于导数光谱的小麦冠层叶片含水量反演[J].中国农业科学,2013,46(1):18-29.LIANG L,ZHANG L P,LIN H,et al.Estimating canopy leaf water content in wheat based on derivative spectra[J].Scientia Agricultura Sinica,2013,46(1):18-29.(in Chinese)
[24]卢璐,苏荣国,王修林,等.基于四阶导数的浮游植物叶绿素荧光激发光谱特征研究[J].光谱学与光谱分析,2007,27(11):2307-2312.LU L,SU R G,WANG X L,et al.Study on the characters of phytoplankton chlorophyll fluorescence excitation spectra based on fourth-derivative[J].Spectroscopy and Spectral Analysis,2007,27(11):2307-2312.(in Chinese)
[25]高彦华,陈良富,周旭,等.估算混合植被叶绿素含量的理想波段分析[J].遥感学报,2009,13(4):623-630.GAO Y H,CHEN L F,ZHUO X,et al.Analysis of ideal bands for estimating chlorophyll content of mixed vegetation[J].Journal of Remote Sensing,2009,13(4):623-630.(in Chinese)
[26]TSAI F,PHILPOT W.Derivative analysis of hyperspectral data[J].Remote Sensing of Environment,1998,66(1):41-51.
[27]XUE L,YANF L.Deriving leaf chlorophyll content of greenleafy vegetables from hyperspectral reflectance[J].ISPRS Journal of Photogrammetry and Remote Sensing,2009,64(1):97-106.
[2]MAHAJAN M,PAL P K.Growing conditions influence nondestructive estimation of chlorophyll in leaves of Valeriana jatamansi[J].Journal of Applied Research on Medicinal&Aromatic Plants,2016,3(3):131-135.
[3]COLLINS W.Remote sensing of crop type and maturity[J].Photogr.Eng.Remote Sens.,1978,44(1):43-55.
[4]HENDRY G A F,HOUGHTON J D,BROWN S B.The degradation of chlorophyll:a biological enigma[J].New Phytologist,2006,107(2):255-302.
[5]MERZLYAK M N,GITELSON A A,CHIVKUNOVA O B,et al.Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening[J].Physiologia Plantarum,1999,106(1):135-141.
[6]王鑫梅,牟洪香,李春友,等.107杨叶片叶绿素含量高光谱反演的研究[J].西北林学院学报,2015,30(3):35-38.WANG X M,MOU H X,LI C Y,et al.Inversion of Populus×euramericana cv.“74/76”chlorophyll concentration based on the hyper-spectrum[J].Journal of Northwest Forestry University,2015,30(3):35-38.(in Chinese)
[7]王冰,张羽震,贺文美,等.山桃叶片叶绿素SPAD值颜色特征与时空特征分析[J].西北林学院学报,2016,31(5):311-315.WANG B,ZHANG Y Z,HE W M,et al.Color and spatio-temperal characteristics of chlorophyll SPAD values of Prunus davidianaleaves[J].Journal of Northwest Forestry University,2016,31(5):311-315.(in Chinese)
[8]李敏夏,张林森,李丙智,等.苹果叶片高光谱特性与叶绿素含量和SPAD值的关系[J].西北林学院学报,2010,25(2):35-39.LI M X,ZHANG L S,LI B Z,et al.Relationship between spectral reflectance feature and their chlorophyll contentrations and SPAD value of apple leaves[J].Journal of Northwest Forestry University,2010,25(2):35-39.(in Chinese)
[9]彭懿.空间数据尺度转换和尺度效应研究[D].中山:中山大学,2007.
[10]栾海军,田庆久,余涛,等.定量遥感升尺度转换研究综述[J].地球科学进展,2013,28(6):657-664.LUAN H J,TIAN Q J,YU T,et al.Review of up-scaling of quantitative remote sensing[J].Advances in Earth Science,2013,28(6):657-664.(in Chinese)
[11]姚付启,张振华,杨润亚,等.基于红边参数的植被叶绿素含量高光谱估算模型[J].农业工程学报,2009,25(Supp.2):123-129.
[12]李小文,王祎婷.定量遥感尺度效应刍议[J].地理学报,2013,68(9):1163-1169.LI X W,WANF Y W.Prospects on future developments of quantitative remote sensing[J].Acta Geographica Sinica,2013,68(9):1163-1169.(in Chinese)
[13]宋艳冬,金爱武,金晓春,等.毛竹叶片光合色素的光谱估算模型[J].北京林业大学学报,2010,32(1):31-34.SONG Y D,JIN A W,JIN X C,et al.Models for estimation of photosynthetic pigmental spectra in Phyllostachys pubescens leaves[J].Journal of Beijing Forestry University,2010,32(1):31-34.(in Chinese)
[14]叶济宇.关于叶绿素含量测定中的Arnon计算公式[J].植物生理学杂志,1985(6):69.YE J Y.About arnon formula in determination of chlorphyll content[J].Plant Physiology Communications,1985(6):69.(in Chinese)
[15]潘蓓,赵庚星,朱西存,等.利用高光谱植被指数估测苹果树冠层叶绿素含量[J].光谱学与光谱分析,2013,33(8):2203-2206.PAN B,ZHAO G X,ZHU X C,et al.Estimation of chlorophyll content in apple tree canopy based on hyperspectral parameters[J].Spectroscopy&Spectral Analysis,2013,33(8):2203-2206.(in Chinese)
[16]高荣强,范世福,严衍禄,等.近红外光谱的数据预处理研究[J].光谱学与光谱分析,2004,24(12):1563-1565.GAO R Q,FAN S F,YAN Y L,et al.Preprocessing of near infrared spectroscopic data[J].Spectroscopy&Spectral Analysis,2004,24(12):1563-1565.(in Chinese)
[17]李园园,宋于洋,陈兵,等.荒漠公益林中典型灌木树种光谱特征研究[J].西北林学院学报,2011,26(1):155-159.LI Y Y,SONG Y Y,CHEN B,et al.Spectral features of typical shrubberies in welfare forests in desert areas[J].Journal of Northwest Forestry University,2011,26(1):155-159.(in Chinese)
[18]侯艳军,塔西甫拉提·特依拜,买买提·沙吾提,等.荒漠土壤有机质含量高光谱估算模型[J].农业工程学报,2014,30(16):113-120.HOU,Y J,TASHPOLAT·TIYIP,MAMAT·SAWUT,et al.Estimation model of desert soil organic matter content using hyperspectral data[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(16):113-120.(in Chinese)
[19]杜华强,葛宏立,范文义,等.马尾松针叶光谱特征与其叶绿素含量间关系研究[J].光谱学与光谱分析,2009,29(11):3033-3037.DU H Q,GE H L,FAN W Y,et al.Study on relationships between total chlorophyll with hyperspectral features for leaves of Pinus massoniana forest[J].Spectroscopy&Spectral Analysis,2009,29(11):3033-3037.(in Chinese)
[20]史冰全,张晓丽,白雪琪,等.基于“三边”参数的油松林叶绿素估算模型[J].东北林业大学学报,2015(5):80-83.SHI B Q,ZHANG X L,BAI X Q,et al.Chlorophyll estimation model of Pinus tabulaeformis based on“Sanbian”parameters[J].Journal of Northeast Forestry University,2015,43(5):80-83.(in Chinese)
[21]吴长山,童庆禧,郑兰芬,等.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,2000,8(1):31-37.WU C S,TONG Q X,ZHENG L F,et al.Correlation analysis between spectral data and chlorophyll of rice and maize[J].Journal of Basicence&Engineering,2000,8(1):31-37.(in Chinese)
[22]宫兆宁,赵雅莉,赵文吉,等.基于光谱指数的植物叶片叶绿素含量的估算模型[J].生态学报,2014,34(20):5736-5745.GONG Z N,ZHAO Y L,ZHAO W J,et al.Estimation model for plant leaf chlorophyll content based on the spectral index content[J].Acta EcologicaSinica,2014,34(20):5736-5745.(in Chinese)
[23]梁亮,张连蓬,林卉,等.基于导数光谱的小麦冠层叶片含水量反演[J].中国农业科学,2013,46(1):18-29.LIANG L,ZHANG L P,LIN H,et al.Estimating canopy leaf water content in wheat based on derivative spectra[J].Scientia Agricultura Sinica,2013,46(1):18-29.(in Chinese)
[24]卢璐,苏荣国,王修林,等.基于四阶导数的浮游植物叶绿素荧光激发光谱特征研究[J].光谱学与光谱分析,2007,27(11):2307-2312.LU L,SU R G,WANG X L,et al.Study on the characters of phytoplankton chlorophyll fluorescence excitation spectra based on fourth-derivative[J].Spectroscopy and Spectral Analysis,2007,27(11):2307-2312.(in Chinese)
[25]高彦华,陈良富,周旭,等.估算混合植被叶绿素含量的理想波段分析[J].遥感学报,2009,13(4):623-630.GAO Y H,CHEN L F,ZHUO X,et al.Analysis of ideal bands for estimating chlorophyll content of mixed vegetation[J].Journal of Remote Sensing,2009,13(4):623-630.(in Chinese)
[26]TSAI F,PHILPOT W.Derivative analysis of hyperspectral data[J].Remote Sensing of Environment,1998,66(1):41-51.
[27]XUE L,YANF L.Deriving leaf chlorophyll content of greenleafy vegetables from hyperspectral reflectance[J].ISPRS Journal of Photogrammetry and Remote Sensing,2009,64(1):97-106.