Research of the hyperspectral vegetation in deices for the estimation of the nitrogen content of wheat canopy in agro-forestry system

doi:10.3969/j.issn.1000-2006.2015.03.017

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (03): 91-95.doi: 10.3969/j.issn.1000-2006.2015.03.017

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Research of the hyperspectral vegetation in deices for the estimation of the nitrogen content of wheat canopy in agro-forestry system

LIU Mindi^1,2, XUE Jianhui^1,2*, CHU Jun^1,2, HAO Lüyuan³, JIN Meijuan^1,2

1. Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;
2. College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037,China;
3.School of Geography, Beijing Normal University, Beijing 100875,China

Online:2015-05-30 Published:2015-05-30

Abstract

Abstract: This paper focused on the agro-forestry system, using FieldSpec Pro FR2500 for collecting 180 spectral data samples of wheat leaves from jointing stage to booting stage in the research,selecting nine hyperspectral vegetation indices from estimation model of monoculture crop canopy nitrogen content to estimate the nitrogen content of wheat canopy in agro-forestry system. Randomly selected 116 samples as the training set to establish estimation model based on nine indices, and the other 48 samples as the prediction set to establish estimation model for adaptive test of estimation model. The results showed that P-R² of FN-NDNI reached to 0.839, 0.777 and C-R² of SDr-SDb reached to 0.844, 0.758, which estimate the nitrogen content of wheat leaves in poplar-wheat intercropping ecosystem accurately, and the prediction accuracy of the remaining seven indices was not ideal. The prediction accuracy of the estimation model established by nine indices were all lower than in monoculture crop nitrogen content.

CLC Number:

S718

LIU Mindi, XUE Jianhui, CHU Jun, HAO Lüyuan, JIN Meijuan. Research of the hyperspectral vegetation in deices for the estimation of the nitrogen content of wheat canopy in agro-forestry system[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2015, 39(03): 91-95.

References

[1] 梁亮,杨敏华,臧卓.基于小波去噪与SVR的小麦冠层含氮率高光谱测定[J].农业工程学报,2010,26(12):248-253.Liang L,Yang M H,Zang Z. Determination of wheat canopy nitrogen content ratio by hyperspectral technology based on wavelet denoising and support vector regression[J]. Transactions of the CSAE,2010,26(12):248-253.
[2] 刘晓凯,薛建辉,吴永波.模拟暴雨条件下杨麦复合系统氮、磷随地表径流流失特征分析[J].南京林业大学学报:自然科学版,2013,36(2):117-120.Liu X K, Xue J H, Wu Y B. Nitrogen and phosphorus losses mechanisms form agro-forestry system under simulated rainfall conditions[J].Journal of Nanjing Forestry University:Natural Sciences Edition,2013,36(2):117-120.
[3] 吴殿鸣,薛建辉,罗英,等.杨麦间作系统硝态氮淋失的原位研究[J].南京林业大学学报:自然科学版,2012,36(2):111-116.Wu D M, Xue J H, Luo Y, et al. Study on nitrate nitrogen leaching in poplar-wheat intercropping ecosystem by in situ analysis[J].Journal of Nanjing Forestry University:Natural Sciences Edition, 2012,36(2):111-116.
[4] Jain N, Ray S S, Singh J P, et al. Use of hyperspectral data to assess the effects of different nitrogen applications on a potato crop[J].Precision Agriculture,2007,8(4/5):225-239.
[5] Müller K, Bttcher U, Meyer-Schatz F, et al. Analysis of vegetation indices derived from hyperspectral reflection measurements for estimating crop canopy parameters of oil seed rape(Brassica napus L.)[J].Biosystems Engineering,2008,101(2):172-182.
[6] Stroppiana D, Boschetti M, Brivio P A, et al. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry[J].Field Crops Research,2009,111(1/2):119-129.
[7] Ryu C, Suguri M, Umeda M. Model for predicting the nitrogen content of rice at panicle initiation stage using data from airborne hyperspectral remote sensing[J].Biosystems Engineering,2009,104(4):465-475.
[8] Yang M H, Liu L Y, Liu T J, et al. Research on a method to retrieve biophysical and biochemical parameters of wheat canopy with hyperspectral remote sensing[J].Acta Geodaetica ET Cartographica Sinica,2002,31(4):316-321.
[9] Hansen P M, Schjoerring J K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression[J]. Remote Sensing of Environment,2003,86(4):542-553.
[10] 景娟娟,王纪华,王锦地,等.不同氮素营养条件下的冬小麦生理及光谱特性[J].遥感信息,2003(2):28-31.Jing J J, Wang J H, Wang J D, et al. Spectral characteristics of winter wheat under different nitrogen nutrient[J]. Remote Sensing Information, 2003(2):28-31.
[11] 冯伟,姚霞,朱艳,等. 基于高光谱遥感的小麦叶片含氮量监测模型研究[J].麦类作物学报, 2008, 28(5):851-860.Feng W, Yao X, Zhu Y, et al. Monitoring leaf nitrogen concent ration by hyperspectral remote sensing in wheat[J]. Journal of Triticeae Crops, 2008, 28(5): 851-860.
[12] 梁亮,杨敏华,邓凯东,等.一种估测小麦冠层氮含量的新高光谱指数[J].生态学报,2011,31(21):6594-6605.Liang L, Yang M H, Deng K D,et al. A new hyperspectral index for the estimation of nitrogen contents of wheat canopy[J]. Acta Ecologica Sinica,2011,31(21):6594-6605.
[13] 翟清云,张娟娟,熊淑萍,等.基于不同土壤质地的小麦叶片氮含量高光谱差异及监测模型构建[J].中国农业科学, 2013,46(13):2655-2667.Zhai Q Y, Zhang J J, Xiong S P,et al. Research on hyperspectral differences and monitoring model of leaf nitrogen content in wheat based on different soil textures[J].Scientia Agricultura Sinica, 2013,46(13):2655-2667.
[14] 姚霞,朱艳,田永超,等.小麦叶层氮含量估测的最佳高光谱参数研究[J].中国农业科学, 2009, 42(8):2716-2725.Yao X, Zhu Y,Tian Y C, et al. Research of the optimum hyperspectral vegetation indices on monitoring the nitrogen content in wheat leaves[J]. Scientia Agricultura Sinica, 2009, 42(8): 2716-2725.
[15] 蒋金豹,陈云浩,黄文江,等.条锈病胁迫下冬小麦冠层叶片氮素含量的高光谱估测模型[J].农业工程学报,2008,24(1):35-39.Jiang J B, Chen Y H, Huang W J, et al. Hyperspectral estimation models for LTN content of winter wheat canopy under stripe rust stress[J]. Transactions of the CSAE, 2008,24(1):35-39.
[16] 全国农业技术推广服务中心, 华中农业大学.NY/T 496—2010 肥料合理使用准则通则[S]. 北京: 中国标准出版社,2010.
[17] 中国林业科学研究院林业研究所森林土壤研究室. LY/T 1269—1999 森林植物与森林枯枝落叶层全氮的测定[S].北京: 中国标准出版社,1999.

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Research of the hyperspectral vegetation in deices for the estimation of the nitrogen content of wheat canopy in agro-forestry system

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