毛竹叶片重要营养元素的光谱敏感波段分析
|
摘要
以毛竹叶片为研究对象,利用ISI921VF-256野外光谱辐射仪获取毛竹叶片光谱反射率,分析毛竹叶片N、P、K含量和高光谱反射率的相关性,筛选N、P、K的光谱敏感波段与光谱敏感波长。结果表明,毛竹叶片N、P和K的敏感波段分别为700～850、600～750nm和450～560nm波段。毛竹叶片N含量在二阶导数光谱的光谱敏感波长为832nm;P含量在一阶导数光谱的光谱敏感波长为631nm;K含量在二阶导数光谱的光谱敏感波长为498nm。通过毛竹叶片的N、P、K含量与光谱敏感特性的相关性分析,对毛竹叶片重要营养元素的最佳光谱敏感波段研究以及高光谱预测反演具有重要意义。
Analyzing the correlation between the content of nitrogen,phosphorus and potassium in Phyllostachys pubescens and the spectral sensitive characters not only plays a significant role in studying the optimum spectral sensitive band of important nutrient elements in P.pubescens leaves,but also facilitates us to research the inversion of hyperspectral predictions.In this paper,we took P.pubescens leaves as study objects,impacts of nitrogen,phosphorus and potassium content on hyperspectral reflectance were examined to select spectral sensitive bands and wavelengths of the three elements.The results showed that the sensitive bands of nitrogen,phosphorus and potassium containing in P.pubescens leaves were located at 700-850,600-750 and 450-560 nm,respectively.The sensitive spectral wavelength of nitrogen content in the leaves was the second derivative spectra 832 nm.The sensitive spectral wavelength of phosphorus content was the first derivative spectra 631 nm.The sensitive spectral wavelength of phosphorus content in the leaves is the second derivative spectra 498 nm.
Analyzing the correlation between the content of nitrogen,phosphorus and potassium in Phyllostachys pubescens and the spectral sensitive characters not only plays a significant role in studying the optimum spectral sensitive band of important nutrient elements in P.pubescens leaves,but also facilitates us to research the inversion of hyperspectral predictions.In this paper,we took P.pubescens leaves as study objects,impacts of nitrogen,phosphorus and potassium content on hyperspectral reflectance were examined to select spectral sensitive bands and wavelengths of the three elements.The results showed that the sensitive bands of nitrogen,phosphorus and potassium containing in P.pubescens leaves were located at 700-850,600-750 and 450-560 nm,respectively.The sensitive spectral wavelength of nitrogen content in the leaves was the second derivative spectra 832 nm.The sensitive spectral wavelength of phosphorus content was the first derivative spectra 631 nm.The sensitive spectral wavelength of phosphorus content in the leaves is the second derivative spectra 498 nm.
引文
[1]汪辉.基于干涉成像光谱技术的高光谱图像重构研究[D].南昌:南昌大学,2012.
[2]俞欣妍,刘健,余坤勇,等.叶片—冠层尺度的毛竹林分光谱特征[J].西北林学院学报,2017,32(3):7-13.YU X Y,LIU J,YU K Y,et al.Pectral scale differences between leaf and canopy of spectral characteristics of Phyllostachys pubescens forest[J].Journal of Northwest Forestry University,2017,32(3):7-13.(in Chinese)
[3]王磊,白由路.基于光谱理论的作物营养诊断研究进展[J].植物营养与肥料学报,2006(6):902-912.WANG L,BAI Y L.Research advance on plant nutrition diagnosis based on spectral theory[J].Journal of Plant Nutrition and Fertilizer,2006(6):902-912.(in Chinese)
[4]刘良云,靳志伟,王纪华,等.光谱法预测烟叶中的烟碱、钾和氮素[J].烟草科技,2005(6):26-29.
[5]高培军,邱永华,周紫球,等.氮素施肥对毛竹生产力与光合能力的影响[J].浙江农林大学学报,2014,31(5):697-703.GAO P J,QIU Y H,ZHOU Z Q,et al.Productivity and photosynthetic ability of Phyllostachys edulis with nitrogen fertilization[J].Journal of Zhejiang Forestry College,2014,31(5):697-703.(in Chinese)
[6]李雪涛,金爱武,李国栋,等.毛竹低产低效林的经营策略研究[J].竹子研究汇刊,2012,31(2):47-51.
[7]金爱武.浙闽山区毛竹高效经营技术与参与式发展模式研究[D].南京:南京林业大学,2004.
[8]郭晓敏.毛竹林平衡施肥及营养管理研究[D].南京:南京林业大学,2003.
[9]杨红飞,李建龙,穆少杰,等.新疆三种主要草地植被类型的高光谱反射特征研究[J].草业学报,2012,21(6):258-266.YANG H F,LI J L,MU S J,et al.Hyperspectral reflectance characteristics of three main grassland vegetation types in Xinjiang[J].Acta Prataculturae Sinica,2012,21(6):258-266.(in Chinese)
[10]张娟娟,田永超,朱艳,等.不同类型土壤的光谱特征及其有机质含量预测[J].中国农业科学,2009,42(9):3154-3163.ZHANG J J,TIAN Y C,ZHU Y,et al.Spectral characteristics and estimation of organic matter contents of different soil types[J].Scientia Agricultura Sinica,2009,42(9):3154-3163.(in Chinese)
[11]范文义,杜华强,刘哲.科尔沁沙地地物光谱数据分析[J].东北林业大学学报,2004,19(2):45-48.
[12]张良培,郑兰芬,童庆禧.利用高光谱对生物变量进行估计[J].遥感学报,1997,2(2):111-114.ZHANG L P,ZHENG L F,DONG Q X.Estimation of biological variables using hyperspectral spectroscopy[J].Journal of Remote Sensing,1997(2):111-114.(in Chinese)
[13]程立真,朱西存,高璐璐,等.基于随机森林模型的苹果叶片磷素含量高光谱估测[J].果树学报,2016,33(10):1219-1229.
[14]勾玲,闫洁,韩春丽,等.氮肥对新疆棉花产量形成期叶片光合特性的调节效应[J].植物营养与肥料学报,2004(5):488-493.
[15] BLACKMER T M,SCHEPERS J S,VARVEL G E.Light reflectance compared with other nitrogen stress measurements in corn leaves[J].Agronomy Journal,1995,86(6):934-938.
[16] SCHEPERS J S,FRANCIS D D,VIGIL M,et al.Comparison of corn leaf nitrogen concentration and chlorophyll meter readings[J].Communications in Soil Science and Plant Analysis,1992,23(17/20):2173-2187.
[17] YANG W H,PENG S,HUANG J,et al.Using leaf color charts to estimate leaf nitrogen status of rice[J].Agronomy Journal,2003,95(1):212-217.
[18]胥喆,舒清态,杨凯博,等.基于非成像高光谱的高山松叶绿素估算模型研究[J].西北林学院学报,2017,32(2):73-78,179.XU Z,SHU Q T,YANG K B,et al.Estimation models of chlorophyll in Pinus densata based on non-imaging hyperspectrum[J].Journal of Northwest Forestry University,2017,32(2):73-78,179.(in Chinese)
[19]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)
[20] BLACKMER T M,SCHEPERS J S.Techniques for monitoring crop nitrogen status in corn[J].Communications in Soil Science and Plant Analysis,1994,25(9/10):1791-1800.
[21]王磊,白由路,陈仲新,等.低温胁迫下的夏玉米苗期高光谱特征[J].农业网络信息,2004(Supp.1):27-33.
[22] ALABBAS A H,BARR R,HALL J D,et al.Spectra of normal and nutrient-deficient maize leaves[J].Agronomy Journal,1974,37(9):3693-3700.
[23]MILTON N M,EISWERTH B A,AGER C M.Effect of phosphorus deficiency on spectral reflectance and morphology of soybean plants.[J].Remote Sensing of Environment,1991,36(2):121-127.
[24]陆景陵.植物营养学[M].北京;中国农业大学出版社,2005.
[25] XUE L,CAO W,LUO W,et al.Monitoring leaf nitrogen status in rice with canopy spectral reflectance[J].Agronomy Journal,2004,96(1):135-142.
[26]赵春江,黄文江,王纪华,等.不同品种、肥水条件下冬小麦光谱红边参数研究[J].中国农业科学,2002(8):980-987.
[27] OSBORNE S L,SCHEPERS J S,FRANCIS D D,et al.Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements[J].Agronomy Journal,2002,94(6):1215-1221.
[28]浦瑞良,宫鹏,约翰R.米勒.用CASI遥感数据估计横跨美国俄勒冈州针叶林叶面积指数[J].南京林业大学学报:自然科学版,1993(1):41-48.
[29]宫鹏.对地观测技术与地球系统科学[M].北京:科学出版社,1996.
[30]王磊,白由路,卢艳丽,等.不同形式的光谱参量对春玉米氮素营养诊断的比较[J].农业工程学报,2010,26(2):218-223.
[31]朱西存.苹果花期冠层高光谱特征及营养元素含量估测研究[D].泰安:山东农业大学,2010.
[32]王磊.玉米营养光谱诊断技术研究[D].北京;中国农业科学院,2007.
[33]李哲,田海清,王辉,等.基于高光谱的甜菜冠层氮素遥感估算研究[J].农机化研究,2016,38(6):210-214.
[34]李岚涛,汪善勤,任涛,等.基于高光谱的冬油菜叶片磷含量诊断模型[J].农业工程学报,2016,32(14):209-218.LI L T,WANG S Q,REN T,et al.Evaluating models of leaf phosphorus content of winter oilseed rape based on hyperspectral data[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(14):209-218.(in Chinese)
[2]俞欣妍,刘健,余坤勇,等.叶片—冠层尺度的毛竹林分光谱特征[J].西北林学院学报,2017,32(3):7-13.YU X Y,LIU J,YU K Y,et al.Pectral scale differences between leaf and canopy of spectral characteristics of Phyllostachys pubescens forest[J].Journal of Northwest Forestry University,2017,32(3):7-13.(in Chinese)
[3]王磊,白由路.基于光谱理论的作物营养诊断研究进展[J].植物营养与肥料学报,2006(6):902-912.WANG L,BAI Y L.Research advance on plant nutrition diagnosis based on spectral theory[J].Journal of Plant Nutrition and Fertilizer,2006(6):902-912.(in Chinese)
[4]刘良云,靳志伟,王纪华,等.光谱法预测烟叶中的烟碱、钾和氮素[J].烟草科技,2005(6):26-29.
[5]高培军,邱永华,周紫球,等.氮素施肥对毛竹生产力与光合能力的影响[J].浙江农林大学学报,2014,31(5):697-703.GAO P J,QIU Y H,ZHOU Z Q,et al.Productivity and photosynthetic ability of Phyllostachys edulis with nitrogen fertilization[J].Journal of Zhejiang Forestry College,2014,31(5):697-703.(in Chinese)
[6]李雪涛,金爱武,李国栋,等.毛竹低产低效林的经营策略研究[J].竹子研究汇刊,2012,31(2):47-51.
[7]金爱武.浙闽山区毛竹高效经营技术与参与式发展模式研究[D].南京:南京林业大学,2004.
[8]郭晓敏.毛竹林平衡施肥及营养管理研究[D].南京:南京林业大学,2003.
[9]杨红飞,李建龙,穆少杰,等.新疆三种主要草地植被类型的高光谱反射特征研究[J].草业学报,2012,21(6):258-266.YANG H F,LI J L,MU S J,et al.Hyperspectral reflectance characteristics of three main grassland vegetation types in Xinjiang[J].Acta Prataculturae Sinica,2012,21(6):258-266.(in Chinese)
[10]张娟娟,田永超,朱艳,等.不同类型土壤的光谱特征及其有机质含量预测[J].中国农业科学,2009,42(9):3154-3163.ZHANG J J,TIAN Y C,ZHU Y,et al.Spectral characteristics and estimation of organic matter contents of different soil types[J].Scientia Agricultura Sinica,2009,42(9):3154-3163.(in Chinese)
[11]范文义,杜华强,刘哲.科尔沁沙地地物光谱数据分析[J].东北林业大学学报,2004,19(2):45-48.
[12]张良培,郑兰芬,童庆禧.利用高光谱对生物变量进行估计[J].遥感学报,1997,2(2):111-114.ZHANG L P,ZHENG L F,DONG Q X.Estimation of biological variables using hyperspectral spectroscopy[J].Journal of Remote Sensing,1997(2):111-114.(in Chinese)
[13]程立真,朱西存,高璐璐,等.基于随机森林模型的苹果叶片磷素含量高光谱估测[J].果树学报,2016,33(10):1219-1229.
[14]勾玲,闫洁,韩春丽,等.氮肥对新疆棉花产量形成期叶片光合特性的调节效应[J].植物营养与肥料学报,2004(5):488-493.
[15] BLACKMER T M,SCHEPERS J S,VARVEL G E.Light reflectance compared with other nitrogen stress measurements in corn leaves[J].Agronomy Journal,1995,86(6):934-938.
[16] SCHEPERS J S,FRANCIS D D,VIGIL M,et al.Comparison of corn leaf nitrogen concentration and chlorophyll meter readings[J].Communications in Soil Science and Plant Analysis,1992,23(17/20):2173-2187.
[17] YANG W H,PENG S,HUANG J,et al.Using leaf color charts to estimate leaf nitrogen status of rice[J].Agronomy Journal,2003,95(1):212-217.
[18]胥喆,舒清态,杨凯博,等.基于非成像高光谱的高山松叶绿素估算模型研究[J].西北林学院学报,2017,32(2):73-78,179.XU Z,SHU Q T,YANG K B,et al.Estimation models of chlorophyll in Pinus densata based on non-imaging hyperspectrum[J].Journal of Northwest Forestry University,2017,32(2):73-78,179.(in Chinese)
[19]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)
[20] BLACKMER T M,SCHEPERS J S.Techniques for monitoring crop nitrogen status in corn[J].Communications in Soil Science and Plant Analysis,1994,25(9/10):1791-1800.
[21]王磊,白由路,陈仲新,等.低温胁迫下的夏玉米苗期高光谱特征[J].农业网络信息,2004(Supp.1):27-33.
[22] ALABBAS A H,BARR R,HALL J D,et al.Spectra of normal and nutrient-deficient maize leaves[J].Agronomy Journal,1974,37(9):3693-3700.
[23]MILTON N M,EISWERTH B A,AGER C M.Effect of phosphorus deficiency on spectral reflectance and morphology of soybean plants.[J].Remote Sensing of Environment,1991,36(2):121-127.
[24]陆景陵.植物营养学[M].北京;中国农业大学出版社,2005.
[25] XUE L,CAO W,LUO W,et al.Monitoring leaf nitrogen status in rice with canopy spectral reflectance[J].Agronomy Journal,2004,96(1):135-142.
[26]赵春江,黄文江,王纪华,等.不同品种、肥水条件下冬小麦光谱红边参数研究[J].中国农业科学,2002(8):980-987.
[27] OSBORNE S L,SCHEPERS J S,FRANCIS D D,et al.Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements[J].Agronomy Journal,2002,94(6):1215-1221.
[28]浦瑞良,宫鹏,约翰R.米勒.用CASI遥感数据估计横跨美国俄勒冈州针叶林叶面积指数[J].南京林业大学学报:自然科学版,1993(1):41-48.
[29]宫鹏.对地观测技术与地球系统科学[M].北京:科学出版社,1996.
[30]王磊,白由路,卢艳丽,等.不同形式的光谱参量对春玉米氮素营养诊断的比较[J].农业工程学报,2010,26(2):218-223.
[31]朱西存.苹果花期冠层高光谱特征及营养元素含量估测研究[D].泰安:山东农业大学,2010.
[32]王磊.玉米营养光谱诊断技术研究[D].北京;中国农业科学院,2007.
[33]李哲,田海清,王辉,等.基于高光谱的甜菜冠层氮素遥感估算研究[J].农机化研究,2016,38(6):210-214.
[34]李岚涛,汪善勤,任涛,等.基于高光谱的冬油菜叶片磷含量诊断模型[J].农业工程学报,2016,32(14):209-218.LI L T,WANG S Q,REN T,et al.Evaluating models of leaf phosphorus content of winter oilseed rape based on hyperspectral data[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(14):209-218.(in Chinese)
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |