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Remote Sensing Technology and Application  2011, Vol. 26 Issue (2): 220-225    DOI: 10.11873/j.issn.1004-0323.2011.2.220
article     
Effect on Retrieval Precision for Corn N Content by Spectrum Data Transformation
WANG Lei,BAI You-lu,LU Yan-li,WANG He
(Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization,Institute of AgriculturalResources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China)
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Abstract  

It was analyzed that correlation between the transformed spectrum value and leaf nitrogen content,further more it was researched that retrieval precision for the nitrogen content with different form spectrum variables in 550nm and 680nm wave band by carrying on 6 kind of transformations to the corn leaf spectrum data.The results showed that differential form(D(R),D(Log(R))and D(N(R))) could significantly change the correlation between the nitrogen content and the spectrum value,and the normalized form(N(R))was next and the last was logarithm form(R and Log(R),N(R)and log(N(R))).In addition,determined coefficient of regression model was larger and the model precision was higher correspondingly with better correlation between different form spectrum variables and nitrogen content.In this study,the normalized logarithm form(log(N(R))) parameter of spectrum data could significantly improve the precision of regression model for retrieval nitrogen content in 550nm and 680nm wave band.

Key words:         Leaf spectral reflectance      Data transformation      Nitrogen;Retrieval precision     
Received:  30 September 2010      Published:  25 July 2011
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WANG Lei
BAI Yao-Lu
LEI Yan-Li
WANG He

Cite this article: 

WANG Lei,BAI You-lu,LU Yan-li,WANG He. Effect on Retrieval Precision for Corn N Content by Spectrum Data Transformation. Remote Sensing Technology and Application, 2011, 26(2): 220-225.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2011.2.220     OR     http://www.rsta.ac.cn/EN/Y2011/V26/I2/220

[1]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,2000,74:229-239.


[2]Haboudane D,Tremblay N,Miller J R,et al.Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived from Hyperspectral Data[J].IEEE Transaction on Geoscience and Remote Sensing,2008,46:423-437.


[3]Samborski S M,Tremblay N,Fallon E.Strategies to Make Use of Plant Sensors\|based Diagnostic Information for Nitrogen Recommendations[J].Agronomy Journal,2009,101:800-816.


[4]Shen Yan,Niu Zheng,Wang Wen,et al.Dry\|leaf Biochemistry Retrieval by the Position Variables of Derivative Spectra[J].Information of Remote Sensing,2005,4:7-9.[沈艳,牛铮,王汶,等.基于导数光谱位置变量的干叶片生化组分反演[J].遥感信息,2005,4:7-9.]


[5]Zhang Liangpei,Zheng Lanfen,Tong Qingxi.The Estimation of Vegetation Variables based on High Resolution Spectra[J].Journal of Remote Sensing,1997,1(2):111-114.[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,1997,1(2):111-114.]


[6]Gong P,Pu R L,Miller J R.Correlating Leaf Area Index of Ponderosa Pine with Hyperspectral CASI Data[J].Canadian Journal of Remote Sensing,1992,18:275-282.


[7]Gong P,Pu R L,Yu B.Conifer Species Recognition:Exploratory Analysis of in Situ Hyperspectral Data[J].Remote Sensing of Environment,1997,62:189-200.

[8]Gong Peng,Shi Peijun,Pu Ruiliang,et al.Earth Observation Technology and System Science[M].Beijing:Science Press,1996.[宫鹏,史培军,浦瑞良,等.对地观测技术与地球系统科学[M].北京:科学出版社,1996.]


[9]ANCAL Inc.C\|SPEC Data Acquisition and Manipulation Pr\|ogram:Users Guide & Operating Instructions[S].1995,1:5.


[10]Pu Ruiliang,Gong Peng,Miller J R.Estimation of Coniferous Forest Leaf Area Index Along the Oregon Transect Using CASI Data[J].Journal of Nanjing Forestry University,1993,17(1):41-48.[浦瑞良,宫鹏,Miller J R.应用CASI图像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,1993,17(1):41-48.]


[11]Zhang Yusen,Yao Xia,Tian Yongchao,et al.Estimating Leaf Nitrogen Content with Near Infrared Reflectance Spectroscopy in Rice[J].China Journal of Plant Ecology,2010,34(6):704-712.[张玉森,姚霞,田永超,等.应用近红外光谱预测水稻叶片氮含量[J].植物生态学报,2010,34(6):704-712.]


[12]Jiang Huanyu,Ying Yibin.Measurement of Chlorophyll Content in Pepper Leaves by Near Infrared Analysis[J].Spectroscopy and Spectral Analysis,2007,27(3):499-502.[蒋焕煜,应义斌.尖椒叶片叶绿素含量的近红外检测分析实验研究[J].光谱学与光谱分析,2007,27(3):499-502.]


[13]Gitelson A A,Gritz U,Merzlyak M N.Relationships between Leaf Chlorophyll Content and Spectral Reflectance Algorithms for Non\|destructive Chlorophyll Assessment in Higher Plant Leaves[J].Journal of Plant Physiology,2003,160:271-282.


[14]Blackburn G A,Ferwerda J G.Retrieval of Chlorophyll Concentration from Leaf Reflectance Spectra Using Wavelet Analysis[J].Remote Sensing of Environment,2008,112:1614-1632.


[15]Blackburn G A.Wavelet Decomposition of Hyperspectral Data:a Novel Approach to Quantifying Pigment Concentrations in Vegetation[J].International Journal of Remote Sensing,2007,28(12):2831-2835.


[16]Fang Limin,Lin Min.A Method of Near Infrared Multi\|component Analysis based on Independent Component Analysis and Neural Networks Model[J].Chinese Journal of Analytical Chemistry,2008,36(6):815-818.[方利民,林敏.基于独立分量和神经网络的近红外多组分分析方法[J].分析化学,2008,36(6):815-818.]


[17]Cho M A,Skidmore A K.A New Technique for Extracting the Red Edge Position from Hyperspectral Data:the Linear Extrapolation Method[J].Remote Sensing of Environment,2006,101:181-193.

[18]Petisco C,Garcia\|Criado B,Mediavilla S,et al.Near\|infrared Reflectance Spectroscopy as a Fast and Non\|destructive Tool to Predict Foliar Organic Constituents of Several Woody Species[J].Analytical and Bioanalytical Chemistry,2006,386:1823-1833.

[19]Lemaire G,Jeuffroy M H,Gastal F.Diagnosis Tool for Plant and Crop N Status in Vegetative Stage Theory and Practices for Crop N Management[J].European Journal of Agronomy,2008,28:614-624.


[20]Zhu Y,Yao X,Tian Y C,et al.Analysis of Common Canopy Vegetation Indices for Indicating Leaf Nitrogen Accumulations in Wheat and Rice[J].International Journal of Applied Earth Observation and Geoinformation,2008,10:1-10.


[21]Thomas V,Treitz P,McCaughey J H,et al.Canopy Chlorophyll Concentration Estimation Using Hyperspectral and Lidar Data for a Boreal Mixed wood Forest in Northern Ontario,Canada[J].International Journal of Remote Sensing,2008,29(4):1029-1052.


[22]Gong P,Pu R.Conifer Species Recognition:Effects of Data tr\|ansformation[J].International Journal of Remote Sensing,2001,22(17):3471-3481.


[23]Pu Ruiliang,Gong Peng.Hyperspectral Remote Sensing and Its Applications[M].Beijing:Higher Education Press,2000.[浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000.]


[24]Gong Peng,Pu Ruiliang,Yu Bin.Conifer Species Recognition with Seasonal Hyperspectral Data[J].Journal of Remote Sensing,1998,2(3):211-217.[宫鹏,浦瑞良,郁彬.不同季相针叶树种高光谱数据识别分析[J].遥感学报,1998,2(3):211-217.]

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